Context stringlengths 57 92.3k | file_name stringlengths 21 79 | start int64 14 3.67k | end int64 18 3.69k | theorem stringlengths 25 2.71k | proof stringlengths 5 10.6k |
|---|---|---|---|---|---|
import Mathlib.FieldTheory.SeparableClosure
import Mathlib.Algebra.CharP.IntermediateField
open FiniteDimensional Polynomial IntermediateField Field
noncomputable section
universe u v w
variable (F : Type u) (E : Type v) [Field F] [Field E] [Algebra F E]
variable (K : Type w) [Field K] [Algebra F K]
section perfectClosure
def perfectClosure : IntermediateField F E where
carrier := {x : E | ∃ n : ℕ, x ^ (ringExpChar F) ^ n ∈ (algebraMap F E).range}
add_mem' := by
rintro x y ⟨n, hx⟩ ⟨m, hy⟩
use n + m
have := expChar_of_injective_algebraMap (algebraMap F E).injective (ringExpChar F)
rw [add_pow_expChar_pow, pow_add, pow_mul, mul_comm (_ ^ n), pow_mul]
exact add_mem (pow_mem hx _) (pow_mem hy _)
mul_mem' := by
rintro x y ⟨n, hx⟩ ⟨m, hy⟩
use n + m
rw [mul_pow, pow_add, pow_mul, mul_comm (_ ^ n), pow_mul]
exact mul_mem (pow_mem hx _) (pow_mem hy _)
inv_mem' := by
rintro x ⟨n, hx⟩
use n; rw [inv_pow]
apply inv_mem (id hx : _ ∈ (⊥ : IntermediateField F E))
algebraMap_mem' := fun x ↦ ⟨0, by rw [pow_zero, pow_one]; exact ⟨x, rfl⟩⟩
variable {F E}
theorem mem_perfectClosure_iff {x : E} :
x ∈ perfectClosure F E ↔ ∃ n : ℕ, x ^ (ringExpChar F) ^ n ∈ (algebraMap F E).range := Iff.rfl
theorem mem_perfectClosure_iff_pow_mem (q : ℕ) [ExpChar F q] {x : E} :
x ∈ perfectClosure F E ↔ ∃ n : ℕ, x ^ q ^ n ∈ (algebraMap F E).range := by
rw [mem_perfectClosure_iff, ringExpChar.eq F q]
theorem mem_perfectClosure_iff_natSepDegree_eq_one {x : E} :
x ∈ perfectClosure F E ↔ (minpoly F x).natSepDegree = 1 := by
rw [mem_perfectClosure_iff, minpoly.natSepDegree_eq_one_iff_pow_mem (ringExpChar F)]
theorem isPurelyInseparable_iff_perfectClosure_eq_top :
IsPurelyInseparable F E ↔ perfectClosure F E = ⊤ := by
rw [isPurelyInseparable_iff_pow_mem F (ringExpChar F)]
exact ⟨fun H ↦ top_unique fun x _ ↦ H x, fun H _ ↦ H.ge trivial⟩
variable (F E)
instance perfectClosure.isPurelyInseparable : IsPurelyInseparable F (perfectClosure F E) := by
rw [isPurelyInseparable_iff_pow_mem F (ringExpChar F)]
exact fun ⟨_, n, y, h⟩ ↦ ⟨n, y, (algebraMap _ E).injective h⟩
instance perfectClosure.isAlgebraic : Algebra.IsAlgebraic F (perfectClosure F E) :=
IsPurelyInseparable.isAlgebraic F _
theorem perfectClosure.eq_bot_of_isSeparable [IsSeparable F E] : perfectClosure F E = ⊥ :=
haveI := isSeparable_tower_bot_of_isSeparable F (perfectClosure F E) E
eq_bot_of_isPurelyInseparable_of_isSeparable _
theorem le_perfectClosure (L : IntermediateField F E) [h : IsPurelyInseparable F L] :
L ≤ perfectClosure F E := by
rw [isPurelyInseparable_iff_pow_mem F (ringExpChar F)] at h
intro x hx
obtain ⟨n, y, hy⟩ := h ⟨x, hx⟩
exact ⟨n, y, congr_arg (algebraMap L E) hy⟩
theorem le_perfectClosure_iff (L : IntermediateField F E) :
L ≤ perfectClosure F E ↔ IsPurelyInseparable F L := by
refine ⟨fun h ↦ (isPurelyInseparable_iff_pow_mem F (ringExpChar F)).2 fun x ↦ ?_,
fun _ ↦ le_perfectClosure F E L⟩
obtain ⟨n, y, hy⟩ := h x.2
exact ⟨n, y, (algebraMap L E).injective hy⟩
theorem separableClosure_inf_perfectClosure : separableClosure F E ⊓ perfectClosure F E = ⊥ :=
haveI := (le_separableClosure_iff F E _).mp (inf_le_left (b := perfectClosure F E))
haveI := (le_perfectClosure_iff F E _).mp (inf_le_right (a := separableClosure F E))
eq_bot_of_isPurelyInseparable_of_isSeparable _
namespace IntermediateField
instance isPurelyInseparable_bot : IsPurelyInseparable F (⊥ : IntermediateField F E) :=
(botEquiv F E).symm.isPurelyInseparable
theorem isPurelyInseparable_adjoin_simple_iff_natSepDegree_eq_one {x : E} :
IsPurelyInseparable F F⟮x⟯ ↔ (minpoly F x).natSepDegree = 1 := by
rw [← le_perfectClosure_iff, adjoin_simple_le_iff, mem_perfectClosure_iff_natSepDegree_eq_one]
theorem isPurelyInseparable_adjoin_simple_iff_pow_mem (q : ℕ) [hF : ExpChar F q] {x : E} :
IsPurelyInseparable F F⟮x⟯ ↔ ∃ n : ℕ, x ^ q ^ n ∈ (algebraMap F E).range := by
rw [← le_perfectClosure_iff, adjoin_simple_le_iff, mem_perfectClosure_iff_pow_mem q]
| Mathlib/FieldTheory/PurelyInseparable.lean | 645 | 648 | theorem isPurelyInseparable_adjoin_iff_pow_mem (q : ℕ) [hF : ExpChar F q] {S : Set E} :
IsPurelyInseparable F (adjoin F S) ↔ ∀ x ∈ S, ∃ n : ℕ, x ^ q ^ n ∈ (algebraMap F E).range := by |
simp_rw [← le_perfectClosure_iff, adjoin_le_iff, ← mem_perfectClosure_iff_pow_mem q,
Set.le_iff_subset, Set.subset_def, SetLike.mem_coe]
|
import Mathlib.Algebra.Ring.Int
import Mathlib.Data.Nat.Bitwise
import Mathlib.Data.Nat.Size
#align_import data.int.bitwise from "leanprover-community/mathlib"@"0743cc5d9d86bcd1bba10f480e948a257d65056f"
#align_import init.data.int.bitwise from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd"
namespace Int
def div2 : ℤ → ℤ
| (n : ℕ) => n.div2
| -[n +1] => negSucc n.div2
#align int.div2 Int.div2
def bodd : ℤ → Bool
| (n : ℕ) => n.bodd
| -[n +1] => not (n.bodd)
#align int.bodd Int.bodd
-- Porting note: `bit0, bit1` deprecated, do we need to adapt `bit`?
set_option linter.deprecated false in
def bit (b : Bool) : ℤ → ℤ :=
cond b bit1 bit0
#align int.bit Int.bit
def testBit : ℤ → ℕ → Bool
| (m : ℕ), n => Nat.testBit m n
| -[m +1], n => !(Nat.testBit m n)
#align int.test_bit Int.testBit
def natBitwise (f : Bool → Bool → Bool) (m n : ℕ) : ℤ :=
cond (f false false) -[ Nat.bitwise (fun x y => not (f x y)) m n +1] (Nat.bitwise f m n)
#align int.nat_bitwise Int.natBitwise
def bitwise (f : Bool → Bool → Bool) : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => natBitwise f m n
| (m : ℕ), -[n +1] => natBitwise (fun x y => f x (not y)) m n
| -[m +1], (n : ℕ) => natBitwise (fun x y => f (not x) y) m n
| -[m +1], -[n +1] => natBitwise (fun x y => f (not x) (not y)) m n
#align int.bitwise Int.bitwise
def lnot : ℤ → ℤ
| (m : ℕ) => -[m +1]
| -[m +1] => m
#align int.lnot Int.lnot
def lor : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => m ||| n
| (m : ℕ), -[n +1] => -[Nat.ldiff n m +1]
| -[m +1], (n : ℕ) => -[Nat.ldiff m n +1]
| -[m +1], -[n +1] => -[m &&& n +1]
#align int.lor Int.lor
def land : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => m &&& n
| (m : ℕ), -[n +1] => Nat.ldiff m n
| -[m +1], (n : ℕ) => Nat.ldiff n m
| -[m +1], -[n +1] => -[m ||| n +1]
#align int.land Int.land
-- Porting note: I don't know why `Nat.ldiff` got the prime, but I'm matching this change here
def ldiff : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => Nat.ldiff m n
| (m : ℕ), -[n +1] => m &&& n
| -[m +1], (n : ℕ) => -[m ||| n +1]
| -[m +1], -[n +1] => Nat.ldiff n m
#align int.ldiff Int.ldiff
-- Porting note: I don't know why `Nat.xor'` got the prime, but I'm matching this change here
protected def xor : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => (m ^^^ n)
| (m : ℕ), -[n +1] => -[(m ^^^ n) +1]
| -[m +1], (n : ℕ) => -[(m ^^^ n) +1]
| -[m +1], -[n +1] => (m ^^^ n)
#align int.lxor Int.xor
instance : ShiftLeft ℤ where
shiftLeft
| (m : ℕ), (n : ℕ) => Nat.shiftLeft' false m n
| (m : ℕ), -[n +1] => m >>> (Nat.succ n)
| -[m +1], (n : ℕ) => -[Nat.shiftLeft' true m n +1]
| -[m +1], -[n +1] => -[m >>> (Nat.succ n) +1]
#align int.shiftl ShiftLeft.shiftLeft
instance : ShiftRight ℤ where
shiftRight m n := m <<< (-n)
#align int.shiftr ShiftRight.shiftRight
@[simp]
theorem bodd_zero : bodd 0 = false :=
rfl
#align int.bodd_zero Int.bodd_zero
@[simp]
theorem bodd_one : bodd 1 = true :=
rfl
#align int.bodd_one Int.bodd_one
theorem bodd_two : bodd 2 = false :=
rfl
#align int.bodd_two Int.bodd_two
@[simp, norm_cast]
theorem bodd_coe (n : ℕ) : Int.bodd n = Nat.bodd n :=
rfl
#align int.bodd_coe Int.bodd_coe
@[simp]
theorem bodd_subNatNat (m n : ℕ) : bodd (subNatNat m n) = xor m.bodd n.bodd := by
apply subNatNat_elim m n fun m n i => bodd i = xor m.bodd n.bodd <;>
intros i j <;>
simp only [Int.bodd, Int.bodd_coe, Nat.bodd_add] <;>
cases Nat.bodd i <;> simp
#align int.bodd_sub_nat_nat Int.bodd_subNatNat
@[simp]
theorem bodd_negOfNat (n : ℕ) : bodd (negOfNat n) = n.bodd := by
cases n <;> simp (config := {decide := true})
rfl
#align int.bodd_neg_of_nat Int.bodd_negOfNat
@[simp]
theorem bodd_neg (n : ℤ) : bodd (-n) = bodd n := by
cases n with
| ofNat =>
rw [← negOfNat_eq, bodd_negOfNat]
simp
| negSucc n =>
rw [neg_negSucc, bodd_coe, Nat.bodd_succ]
change (!Nat.bodd n) = !(bodd n)
rw [bodd_coe]
-- Porting note: Heavily refactored proof, used to work all with `simp`:
-- `cases n <;> simp [Neg.neg, Int.natCast_eq_ofNat, Int.neg, bodd, -of_nat_eq_coe]`
#align int.bodd_neg Int.bodd_neg
@[simp]
theorem bodd_add (m n : ℤ) : bodd (m + n) = xor (bodd m) (bodd n) := by
cases' m with m m <;>
cases' n with n n <;>
simp only [ofNat_eq_coe, ofNat_add_negSucc, negSucc_add_ofNat,
negSucc_add_negSucc, bodd_subNatNat] <;>
simp only [negSucc_coe, bodd_neg, bodd_coe, ← Nat.bodd_add, Bool.xor_comm, ← Nat.cast_add]
rw [← Nat.succ_add, add_assoc]
-- Porting note: Heavily refactored proof, used to work all with `simp`:
-- `by cases m with m m; cases n with n n; unfold has_add.add;`
-- `simp [int.add, -of_nat_eq_coe, bool.xor_comm]`
#align int.bodd_add Int.bodd_add
@[simp]
theorem bodd_mul (m n : ℤ) : bodd (m * n) = (bodd m && bodd n) := by
cases' m with m m <;> cases' n with n n <;>
simp only [ofNat_eq_coe, ofNat_mul_negSucc, negSucc_mul_ofNat, ofNat_mul_ofNat,
negSucc_mul_negSucc] <;>
simp only [negSucc_coe, bodd_neg, bodd_coe, ← Nat.bodd_mul]
-- Porting note: Heavily refactored proof, used to be:
-- `by cases m with m m; cases n with n n;`
-- `simp [← int.mul_def, int.mul, -of_nat_eq_coe, bool.xor_comm]`
#align int.bodd_mul Int.bodd_mul
theorem bodd_add_div2 : ∀ n, cond (bodd n) 1 0 + 2 * div2 n = n
| (n : ℕ) => by
rw [show (cond (bodd n) 1 0 : ℤ) = (cond (bodd n) 1 0 : ℕ) by cases bodd n <;> rfl]
exact congr_arg ofNat n.bodd_add_div2
| -[n+1] => by
refine Eq.trans ?_ (congr_arg negSucc n.bodd_add_div2)
dsimp [bodd]; cases Nat.bodd n <;> dsimp [cond, not, div2, Int.mul]
· change -[2 * Nat.div2 n+1] = _
rw [zero_add]
· rw [zero_add, add_comm]
rfl
#align int.bodd_add_div2 Int.bodd_add_div2
theorem div2_val : ∀ n, div2 n = n / 2
| (n : ℕ) => congr_arg ofNat n.div2_val
| -[n+1] => congr_arg negSucc n.div2_val
#align int.div2_val Int.div2_val
section deprecated
set_option linter.deprecated false
@[deprecated]
theorem bit0_val (n : ℤ) : bit0 n = 2 * n :=
(two_mul _).symm
#align int.bit0_val Int.bit0_val
@[deprecated]
theorem bit1_val (n : ℤ) : bit1 n = 2 * n + 1 :=
congr_arg (· + (1 : ℤ)) (bit0_val _)
#align int.bit1_val Int.bit1_val
theorem bit_val (b n) : bit b n = 2 * n + cond b 1 0 := by
cases b
· apply (bit0_val n).trans (add_zero _).symm
· apply bit1_val
#align int.bit_val Int.bit_val
theorem bit_decomp (n : ℤ) : bit (bodd n) (div2 n) = n :=
(bit_val _ _).trans <| (add_comm _ _).trans <| bodd_add_div2 _
#align int.bit_decomp Int.bit_decomp
def bitCasesOn.{u} {C : ℤ → Sort u} (n) (h : ∀ b n, C (bit b n)) : C n := by
rw [← bit_decomp n]
apply h
#align int.bit_cases_on Int.bitCasesOn
@[simp]
theorem bit_zero : bit false 0 = 0 :=
rfl
#align int.bit_zero Int.bit_zero
@[simp]
| Mathlib/Data/Int/Bitwise.lean | 251 | 253 | theorem bit_coe_nat (b) (n : ℕ) : bit b n = Nat.bit b n := by |
rw [bit_val, Nat.bit_val]
cases b <;> rfl
|
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Data.Int.Log
#align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {b x y : ℝ}
-- @[pp_nodot] -- Porting note: removed
noncomputable def logb (b x : ℝ) : ℝ :=
log x / log b
#align real.logb Real.logb
theorem log_div_log : log x / log b = logb b x :=
rfl
#align real.log_div_log Real.log_div_log
@[simp]
| Mathlib/Analysis/SpecialFunctions/Log/Base.lean | 49 | 49 | theorem logb_zero : logb b 0 = 0 := by | simp [logb]
|
import Mathlib.Tactic.Linarith
import Mathlib.CategoryTheory.Skeletal
import Mathlib.Data.Fintype.Sort
import Mathlib.Order.Category.NonemptyFinLinOrd
import Mathlib.CategoryTheory.Functor.ReflectsIso
#align_import algebraic_topology.simplex_category from "leanprover-community/mathlib"@"e8ac6315bcfcbaf2d19a046719c3b553206dac75"
universe v
open CategoryTheory CategoryTheory.Limits
def SimplexCategory :=
ℕ
#align simplex_category SimplexCategory
namespace SimplexCategory
section
-- Porting note: the definition of `SimplexCategory` is made irreducible below
def mk (n : ℕ) : SimplexCategory :=
n
#align simplex_category.mk SimplexCategory.mk
scoped[Simplicial] notation "[" n "]" => SimplexCategory.mk n
-- TODO: Make `len` irreducible.
def len (n : SimplexCategory) : ℕ :=
n
#align simplex_category.len SimplexCategory.len
@[ext]
theorem ext (a b : SimplexCategory) : a.len = b.len → a = b :=
id
#align simplex_category.ext SimplexCategory.ext
attribute [irreducible] SimplexCategory
open Simplicial
@[simp]
theorem len_mk (n : ℕ) : [n].len = n :=
rfl
#align simplex_category.len_mk SimplexCategory.len_mk
@[simp]
theorem mk_len (n : SimplexCategory) : ([n.len] : SimplexCategory) = n :=
rfl
#align simplex_category.mk_len SimplexCategory.mk_len
protected def rec {F : SimplexCategory → Sort*} (h : ∀ n : ℕ, F [n]) : ∀ X, F X := fun n =>
h n.len
#align simplex_category.rec SimplexCategory.rec
-- porting note (#5171): removed @[nolint has_nonempty_instance]
protected def Hom (a b : SimplexCategory) :=
Fin (a.len + 1) →o Fin (b.len + 1)
#align simplex_category.hom SimplexCategory.Hom
instance smallCategory : SmallCategory.{0} SimplexCategory where
Hom n m := SimplexCategory.Hom n m
id m := SimplexCategory.Hom.id _
comp f g := SimplexCategory.Hom.comp g f
#align simplex_category.small_category SimplexCategory.smallCategory
@[simp]
lemma id_toOrderHom (a : SimplexCategory) :
Hom.toOrderHom (𝟙 a) = OrderHom.id := rfl
@[simp]
lemma comp_toOrderHom {a b c: SimplexCategory} (f : a ⟶ b) (g : b ⟶ c) :
(f ≫ g).toOrderHom = g.toOrderHom.comp f.toOrderHom := rfl
-- Porting note: added because `Hom.ext'` is not triggered automatically
@[ext]
theorem Hom.ext {a b : SimplexCategory} (f g : a ⟶ b) :
f.toOrderHom = g.toOrderHom → f = g :=
Hom.ext' _ _
def const (x y : SimplexCategory) (i : Fin (y.len + 1)) : x ⟶ y :=
Hom.mk <| ⟨fun _ => i, by tauto⟩
#align simplex_category.const SimplexCategory.const
@[simp]
lemma const_eq_id : const [0] [0] 0 = 𝟙 _ := by aesop
@[simp]
lemma const_apply (x y : SimplexCategory) (i : Fin (y.len + 1)) (a : Fin (x.len + 1)) :
(const x y i).toOrderHom a = i := rfl
@[simp]
theorem const_comp (x : SimplexCategory) {y z : SimplexCategory}
(f : y ⟶ z) (i : Fin (y.len + 1)) :
const x y i ≫ f = const x z (f.toOrderHom i) :=
rfl
#align simplex_category.const_comp SimplexCategory.const_comp
@[simp]
def mkHom {n m : ℕ} (f : Fin (n + 1) →o Fin (m + 1)) : ([n] : SimplexCategory) ⟶ [m] :=
SimplexCategory.Hom.mk f
#align simplex_category.mk_hom SimplexCategory.mkHom
theorem hom_zero_zero (f : ([0] : SimplexCategory) ⟶ [0]) : f = 𝟙 _ := by
ext : 3
apply @Subsingleton.elim (Fin 1)
#align simplex_category.hom_zero_zero SimplexCategory.hom_zero_zero
end
open Simplicial
section Generators
def δ {n} (i : Fin (n + 2)) : ([n] : SimplexCategory) ⟶ [n + 1] :=
mkHom (Fin.succAboveOrderEmb i).toOrderHom
#align simplex_category.δ SimplexCategory.δ
def σ {n} (i : Fin (n + 1)) : ([n + 1] : SimplexCategory) ⟶ [n] :=
mkHom
{ toFun := Fin.predAbove i
monotone' := Fin.predAbove_right_monotone i }
#align simplex_category.σ SimplexCategory.σ
theorem δ_comp_δ {n} {i j : Fin (n + 2)} (H : i ≤ j) :
δ i ≫ δ j.succ = δ j ≫ δ (Fin.castSucc i) := by
ext k
dsimp [δ, Fin.succAbove]
rcases i with ⟨i, _⟩
rcases j with ⟨j, _⟩
rcases k with ⟨k, _⟩
split_ifs <;> · simp at * <;> omega
#align simplex_category.δ_comp_δ SimplexCategory.δ_comp_δ
theorem δ_comp_δ' {n} {i : Fin (n + 2)} {j : Fin (n + 3)} (H : Fin.castSucc i < j) :
δ i ≫ δ j =
δ (j.pred fun (hj : j = 0) => by simp [hj, Fin.not_lt_zero] at H) ≫
δ (Fin.castSucc i) := by
rw [← δ_comp_δ]
· rw [Fin.succ_pred]
· simpa only [Fin.le_iff_val_le_val, ← Nat.lt_succ_iff, Nat.succ_eq_add_one, ← Fin.val_succ,
j.succ_pred, Fin.lt_iff_val_lt_val] using H
#align simplex_category.δ_comp_δ' SimplexCategory.δ_comp_δ'
theorem δ_comp_δ'' {n} {i : Fin (n + 3)} {j : Fin (n + 2)} (H : i ≤ Fin.castSucc j) :
δ (i.castLT (Nat.lt_of_le_of_lt (Fin.le_iff_val_le_val.mp H) j.is_lt)) ≫ δ j.succ =
δ j ≫ δ i := by
rw [δ_comp_δ]
· rfl
· exact H
#align simplex_category.δ_comp_δ'' SimplexCategory.δ_comp_δ''
@[reassoc]
theorem δ_comp_δ_self {n} {i : Fin (n + 2)} : δ i ≫ δ (Fin.castSucc i) = δ i ≫ δ i.succ :=
(δ_comp_δ (le_refl i)).symm
#align simplex_category.δ_comp_δ_self SimplexCategory.δ_comp_δ_self
@[reassoc]
theorem δ_comp_δ_self' {n} {i : Fin (n + 2)} {j : Fin (n + 3)} (H : j = Fin.castSucc i) :
δ i ≫ δ j = δ i ≫ δ i.succ := by
subst H
rw [δ_comp_δ_self]
#align simplex_category.δ_comp_δ_self' SimplexCategory.δ_comp_δ_self'
@[reassoc]
| Mathlib/AlgebraicTopology/SimplexCategory.lean | 272 | 289 | theorem δ_comp_σ_of_le {n} {i : Fin (n + 2)} {j : Fin (n + 1)} (H : i ≤ Fin.castSucc j) :
δ (Fin.castSucc i) ≫ σ j.succ = σ j ≫ δ i := by |
ext k : 3
dsimp [σ, δ]
rcases le_or_lt i k with (hik | hik)
· rw [Fin.succAbove_of_le_castSucc _ _ (Fin.castSucc_le_castSucc_iff.mpr hik),
Fin.succ_predAbove_succ, Fin.succAbove_of_le_castSucc]
rcases le_or_lt k (j.castSucc) with (hjk | hjk)
· rwa [Fin.predAbove_of_le_castSucc _ _ hjk, Fin.castSucc_castPred]
· rw [Fin.le_castSucc_iff, Fin.predAbove_of_castSucc_lt _ _ hjk, Fin.succ_pred]
exact H.trans_lt hjk
· rw [Fin.succAbove_of_castSucc_lt _ _ (Fin.castSucc_lt_castSucc_iff.mpr hik)]
have hjk := H.trans_lt' hik
rw [Fin.predAbove_of_le_castSucc _ _ (Fin.castSucc_le_castSucc_iff.mpr
(hjk.trans (Fin.castSucc_lt_succ _)).le),
Fin.predAbove_of_le_castSucc _ _ hjk.le, Fin.castPred_castSucc, Fin.succAbove_of_castSucc_lt,
Fin.castSucc_castPred]
rwa [Fin.castSucc_castPred]
|
import Mathlib.Data.Finset.Pointwise
#align_import combinatorics.additive.e_transform from "leanprover-community/mathlib"@"207c92594599a06e7c134f8d00a030a83e6c7259"
open MulOpposite
open Pointwise
variable {α : Type*} [DecidableEq α]
namespace Finset
section CommGroup
variable [CommGroup α] (e : α) (x : Finset α × Finset α)
@[to_additive (attr := simps) "The **Dyson e-transform**.
Turns `(s, t)` into `(s ∪ e +ᵥ t, t ∩ -e +ᵥ s)`. This reduces the sum of the two sets."]
def mulDysonETransform : Finset α × Finset α :=
(x.1 ∪ e • x.2, x.2 ∩ e⁻¹ • x.1)
#align finset.mul_dyson_e_transform Finset.mulDysonETransform
#align finset.add_dyson_e_transform Finset.addDysonETransform
@[to_additive]
theorem mulDysonETransform.subset :
(mulDysonETransform e x).1 * (mulDysonETransform e x).2 ⊆ x.1 * x.2 := by
refine union_mul_inter_subset_union.trans (union_subset Subset.rfl ?_)
rw [mul_smul_comm, smul_mul_assoc, inv_smul_smul, mul_comm]
#align finset.mul_dyson_e_transform.subset Finset.mulDysonETransform.subset
#align finset.add_dyson_e_transform.subset Finset.addDysonETransform.subset
@[to_additive]
theorem mulDysonETransform.card :
(mulDysonETransform e x).1.card + (mulDysonETransform e x).2.card = x.1.card + x.2.card := by
dsimp
rw [← card_smul_finset e (_ ∩ _), smul_finset_inter, smul_inv_smul, inter_comm,
card_union_add_card_inter, card_smul_finset]
#align finset.mul_dyson_e_transform.card Finset.mulDysonETransform.card
#align finset.add_dyson_e_transform.card Finset.addDysonETransform.card
@[to_additive (attr := simp)]
| Mathlib/Combinatorics/Additive/ETransform.lean | 75 | 81 | theorem mulDysonETransform_idem :
mulDysonETransform e (mulDysonETransform e x) = mulDysonETransform e x := by |
ext : 1 <;> dsimp
· rw [smul_finset_inter, smul_inv_smul, inter_comm, union_eq_left]
exact inter_subset_union
· rw [smul_finset_union, inv_smul_smul, union_comm, inter_eq_left]
exact inter_subset_union
|
import Mathlib.Algebra.MvPolynomial.Degrees
#align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v w
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
variable [CommSemiring R] {p q : MvPolynomial σ R}
section Vars
def vars (p : MvPolynomial σ R) : Finset σ :=
letI := Classical.decEq σ
p.degrees.toFinset
#align mv_polynomial.vars MvPolynomial.vars
theorem vars_def [DecidableEq σ] (p : MvPolynomial σ R) : p.vars = p.degrees.toFinset := by
rw [vars]
convert rfl
#align mv_polynomial.vars_def MvPolynomial.vars_def
@[simp]
theorem vars_0 : (0 : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_zero, Multiset.toFinset_zero]
#align mv_polynomial.vars_0 MvPolynomial.vars_0
@[simp]
theorem vars_monomial (h : r ≠ 0) : (monomial s r).vars = s.support := by
classical rw [vars_def, degrees_monomial_eq _ _ h, Finsupp.toFinset_toMultiset]
#align mv_polynomial.vars_monomial MvPolynomial.vars_monomial
@[simp]
theorem vars_C : (C r : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_C, Multiset.toFinset_zero]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_C MvPolynomial.vars_C
@[simp]
theorem vars_X [Nontrivial R] : (X n : MvPolynomial σ R).vars = {n} := by
rw [X, vars_monomial (one_ne_zero' R), Finsupp.support_single_ne_zero _ (one_ne_zero' ℕ)]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_X MvPolynomial.vars_X
theorem mem_vars (i : σ) : i ∈ p.vars ↔ ∃ d ∈ p.support, i ∈ d.support := by
classical simp only [vars_def, Multiset.mem_toFinset, mem_degrees, mem_support_iff, exists_prop]
#align mv_polynomial.mem_vars MvPolynomial.mem_vars
theorem mem_support_not_mem_vars_zero {f : MvPolynomial σ R} {x : σ →₀ ℕ} (H : x ∈ f.support)
{v : σ} (h : v ∉ vars f) : x v = 0 := by
contrapose! h
exact (mem_vars v).mpr ⟨x, H, Finsupp.mem_support_iff.mpr h⟩
#align mv_polynomial.mem_support_not_mem_vars_zero MvPolynomial.mem_support_not_mem_vars_zero
theorem vars_add_subset [DecidableEq σ] (p q : MvPolynomial σ R) :
(p + q).vars ⊆ p.vars ∪ q.vars := by
intro x hx
simp only [vars_def, Finset.mem_union, Multiset.mem_toFinset] at hx ⊢
simpa using Multiset.mem_of_le (degrees_add _ _) hx
#align mv_polynomial.vars_add_subset MvPolynomial.vars_add_subset
theorem vars_add_of_disjoint [DecidableEq σ] (h : Disjoint p.vars q.vars) :
(p + q).vars = p.vars ∪ q.vars := by
refine (vars_add_subset p q).antisymm fun x hx => ?_
simp only [vars_def, Multiset.disjoint_toFinset] at h hx ⊢
rwa [degrees_add_of_disjoint h, Multiset.toFinset_union]
#align mv_polynomial.vars_add_of_disjoint MvPolynomial.vars_add_of_disjoint
section Mul
theorem vars_mul [DecidableEq σ] (φ ψ : MvPolynomial σ R) : (φ * ψ).vars ⊆ φ.vars ∪ ψ.vars := by
simp_rw [vars_def, ← Multiset.toFinset_add, Multiset.toFinset_subset]
exact Multiset.subset_of_le (degrees_mul φ ψ)
#align mv_polynomial.vars_mul MvPolynomial.vars_mul
@[simp]
theorem vars_one : (1 : MvPolynomial σ R).vars = ∅ :=
vars_C
#align mv_polynomial.vars_one MvPolynomial.vars_one
theorem vars_pow (φ : MvPolynomial σ R) (n : ℕ) : (φ ^ n).vars ⊆ φ.vars := by
classical
induction' n with n ih
· simp
· rw [pow_succ']
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset (Finset.Subset.refl _) ih
#align mv_polynomial.vars_pow MvPolynomial.vars_pow
theorem vars_prod {ι : Type*} [DecidableEq σ] {s : Finset ι} (f : ι → MvPolynomial σ R) :
(∏ i ∈ s, f i).vars ⊆ s.biUnion fun i => (f i).vars := by
classical
induction s using Finset.induction_on with
| empty => simp
| insert hs hsub =>
simp only [hs, Finset.biUnion_insert, Finset.prod_insert, not_false_iff]
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset_union (Finset.Subset.refl _) hsub
#align mv_polynomial.vars_prod MvPolynomial.vars_prod
section Sum
variable {ι : Type*} (t : Finset ι) (φ : ι → MvPolynomial σ R)
theorem vars_sum_subset [DecidableEq σ] :
(∑ i ∈ t, φ i).vars ⊆ Finset.biUnion t fun i => (φ i).vars := by
classical
induction t using Finset.induction_on with
| empty => simp
| insert has hsum =>
rw [Finset.biUnion_insert, Finset.sum_insert has]
refine Finset.Subset.trans
(vars_add_subset _ _) (Finset.union_subset_union (Finset.Subset.refl _) ?_)
assumption
#align mv_polynomial.vars_sum_subset MvPolynomial.vars_sum_subset
| Mathlib/Algebra/MvPolynomial/Variables.lean | 192 | 207 | theorem vars_sum_of_disjoint [DecidableEq σ] (h : Pairwise <| (Disjoint on fun i => (φ i).vars)) :
(∑ i ∈ t, φ i).vars = Finset.biUnion t fun i => (φ i).vars := by |
classical
induction t using Finset.induction_on with
| empty => simp
| insert has hsum =>
rw [Finset.biUnion_insert, Finset.sum_insert has, vars_add_of_disjoint, hsum]
unfold Pairwise onFun at h
rw [hsum]
simp only [Finset.disjoint_iff_ne] at h ⊢
intro v hv v2 hv2
rw [Finset.mem_biUnion] at hv2
rcases hv2 with ⟨i, his, hi⟩
refine h ?_ _ hv _ hi
rintro rfl
contradiction
|
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
#align_import measure_theory.integral.peak_function from "leanprover-community/mathlib"@"13b0d72fd8533ba459ac66e9a885e35ffabb32b2"
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace Metric
open scoped Topology ENNReal
open Set
variable {α E ι : Type*} {hm : MeasurableSpace α} {μ : Measure α} [TopologicalSpace α]
[BorelSpace α] [NormedAddCommGroup E] [NormedSpace ℝ E] {g : α → E} {l : Filter ι} {x₀ : α}
{s t : Set α} {φ : ι → α → ℝ} {a : E}
theorem integrableOn_peak_smul_of_integrableOn_of_tendsto
(hs : MeasurableSet s) (h'st : t ∈ 𝓝[s] x₀)
(hlφ : ∀ u : Set α, IsOpen u → x₀ ∈ u → TendstoUniformlyOn φ 0 l (s \ u))
(hiφ : Tendsto (fun i ↦ ∫ x in t, φ i x ∂μ) l (𝓝 1))
(h'iφ : ∀ᶠ i in l, AEStronglyMeasurable (φ i) (μ.restrict s))
(hmg : IntegrableOn g s μ) (hcg : Tendsto g (𝓝[s] x₀) (𝓝 a)) :
∀ᶠ i in l, IntegrableOn (fun x => φ i x • g x) s μ := by
obtain ⟨u, u_open, x₀u, ut, hu⟩ :
∃ u, IsOpen u ∧ x₀ ∈ u ∧ s ∩ u ⊆ t ∧ ∀ x ∈ u ∩ s, g x ∈ ball a 1 := by
rcases mem_nhdsWithin.1 (Filter.inter_mem h'st (hcg (ball_mem_nhds _ zero_lt_one)))
with ⟨u, u_open, x₀u, hu⟩
refine ⟨u, u_open, x₀u, ?_, hu.trans inter_subset_right⟩
rw [inter_comm]
exact hu.trans inter_subset_left
rw [tendsto_iff_norm_sub_tendsto_zero] at hiφ
filter_upwards [tendstoUniformlyOn_iff.1 (hlφ u u_open x₀u) 1 zero_lt_one,
(tendsto_order.1 hiφ).2 1 zero_lt_one, h'iφ] with i hi h'i h''i
have I : IntegrableOn (φ i) t μ := .of_integral_ne_zero (fun h ↦ by simp [h] at h'i)
have A : IntegrableOn (fun x => φ i x • g x) (s \ u) μ := by
refine Integrable.smul_of_top_right (hmg.mono diff_subset le_rfl) ?_
apply memℒp_top_of_bound (h''i.mono_set diff_subset) 1
filter_upwards [self_mem_ae_restrict (hs.diff u_open.measurableSet)] with x hx
simpa only [Pi.zero_apply, dist_zero_left] using (hi x hx).le
have B : IntegrableOn (fun x => φ i x • g x) (s ∩ u) μ := by
apply Integrable.smul_of_top_left
· exact IntegrableOn.mono_set I ut
· apply
memℒp_top_of_bound (hmg.mono_set inter_subset_left).aestronglyMeasurable (‖a‖ + 1)
filter_upwards [self_mem_ae_restrict (hs.inter u_open.measurableSet)] with x hx
rw [inter_comm] at hx
exact (norm_lt_of_mem_ball (hu x hx)).le
convert A.union B
simp only [diff_union_inter]
#align integrable_on_peak_smul_of_integrable_on_of_continuous_within_at integrableOn_peak_smul_of_integrableOn_of_tendsto
@[deprecated (since := "2024-02-20")]
alias integrableOn_peak_smul_of_integrableOn_of_continuousWithinAt :=
integrableOn_peak_smul_of_integrableOn_of_tendsto
variable [CompleteSpace E]
theorem tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto_aux
(hs : MeasurableSet s) (ht : MeasurableSet t) (hts : t ⊆ s) (h'ts : t ∈ 𝓝[s] x₀)
(hnφ : ∀ᶠ i in l, ∀ x ∈ s, 0 ≤ φ i x)
(hlφ : ∀ u : Set α, IsOpen u → x₀ ∈ u → TendstoUniformlyOn φ 0 l (s \ u))
(hiφ : Tendsto (fun i ↦ ∫ x in t, φ i x ∂μ) l (𝓝 1))
(h'iφ : ∀ᶠ i in l, AEStronglyMeasurable (φ i) (μ.restrict s))
(hmg : IntegrableOn g s μ) (hcg : Tendsto g (𝓝[s] x₀) (𝓝 0)) :
Tendsto (fun i : ι => ∫ x in s, φ i x • g x ∂μ) l (𝓝 0) := by
refine Metric.tendsto_nhds.2 fun ε εpos => ?_
obtain ⟨δ, hδ, δpos, δone⟩ : ∃ δ, (δ * ∫ x in s, ‖g x‖ ∂μ) + 2 * δ < ε ∧ 0 < δ ∧ δ < 1:= by
have A :
Tendsto (fun δ => (δ * ∫ x in s, ‖g x‖ ∂μ) + 2 * δ) (𝓝[>] 0)
(𝓝 ((0 * ∫ x in s, ‖g x‖ ∂μ) + 2 * 0)) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
exact (tendsto_id.mul tendsto_const_nhds).add (tendsto_id.const_mul _)
rw [zero_mul, zero_add, mul_zero] at A
have : Ioo (0 : ℝ) 1 ∈ 𝓝[>] 0 := Ioo_mem_nhdsWithin_Ioi ⟨le_rfl, zero_lt_one⟩
rcases (((tendsto_order.1 A).2 ε εpos).and this).exists with ⟨δ, hδ, h'δ⟩
exact ⟨δ, hδ, h'δ.1, h'δ.2⟩
suffices ∀ᶠ i in l, ‖∫ x in s, φ i x • g x ∂μ‖ ≤ (δ * ∫ x in s, ‖g x‖ ∂μ) + 2 * δ by
filter_upwards [this] with i hi
simp only [dist_zero_right]
exact hi.trans_lt hδ
obtain ⟨u, u_open, x₀u, ut, hu⟩ :
∃ u, IsOpen u ∧ x₀ ∈ u ∧ s ∩ u ⊆ t ∧ ∀ x ∈ u ∩ s, g x ∈ ball 0 δ := by
rcases mem_nhdsWithin.1 (Filter.inter_mem h'ts (hcg (ball_mem_nhds _ δpos)))
with ⟨u, u_open, x₀u, hu⟩
refine ⟨u, u_open, x₀u, ?_, hu.trans inter_subset_right⟩
rw [inter_comm]
exact hu.trans inter_subset_left
filter_upwards [tendstoUniformlyOn_iff.1 (hlφ u u_open x₀u) δ δpos,
(tendsto_order.1 (tendsto_iff_norm_sub_tendsto_zero.1 hiφ)).2 δ δpos, hnφ,
integrableOn_peak_smul_of_integrableOn_of_tendsto hs h'ts hlφ hiφ h'iφ hmg hcg]
with i hi h'i hφpos h''i
have I : IntegrableOn (φ i) t μ := by
apply Integrable.of_integral_ne_zero (fun h ↦ ?_)
simp [h] at h'i
linarith
have B : ‖∫ x in s ∩ u, φ i x • g x ∂μ‖ ≤ 2 * δ :=
calc
‖∫ x in s ∩ u, φ i x • g x ∂μ‖ ≤ ∫ x in s ∩ u, ‖φ i x • g x‖ ∂μ :=
norm_integral_le_integral_norm _
_ ≤ ∫ x in s ∩ u, ‖φ i x‖ * δ ∂μ := by
refine setIntegral_mono_on ?_ ?_ (hs.inter u_open.measurableSet) fun x hx => ?_
· exact IntegrableOn.mono_set h''i.norm inter_subset_left
· exact IntegrableOn.mono_set (I.norm.mul_const _) ut
rw [norm_smul]
apply mul_le_mul_of_nonneg_left _ (norm_nonneg _)
rw [inter_comm] at hu
exact (mem_ball_zero_iff.1 (hu x hx)).le
_ ≤ ∫ x in t, ‖φ i x‖ * δ ∂μ := by
apply setIntegral_mono_set
· exact I.norm.mul_const _
· exact eventually_of_forall fun x => mul_nonneg (norm_nonneg _) δpos.le
· exact eventually_of_forall ut
_ = ∫ x in t, φ i x * δ ∂μ := by
apply setIntegral_congr ht fun x hx => ?_
rw [Real.norm_of_nonneg (hφpos _ (hts hx))]
_ = (∫ x in t, φ i x ∂μ) * δ := by rw [integral_mul_right]
_ ≤ 2 * δ := by gcongr; linarith [(le_abs_self _).trans h'i.le]
have C : ‖∫ x in s \ u, φ i x • g x ∂μ‖ ≤ δ * ∫ x in s, ‖g x‖ ∂μ :=
calc
‖∫ x in s \ u, φ i x • g x ∂μ‖ ≤ ∫ x in s \ u, ‖φ i x • g x‖ ∂μ :=
norm_integral_le_integral_norm _
_ ≤ ∫ x in s \ u, δ * ‖g x‖ ∂μ := by
refine setIntegral_mono_on ?_ ?_ (hs.diff u_open.measurableSet) fun x hx => ?_
· exact IntegrableOn.mono_set h''i.norm diff_subset
· exact IntegrableOn.mono_set (hmg.norm.const_mul _) diff_subset
rw [norm_smul]
apply mul_le_mul_of_nonneg_right _ (norm_nonneg _)
simpa only [Pi.zero_apply, dist_zero_left] using (hi x hx).le
_ ≤ δ * ∫ x in s, ‖g x‖ ∂μ := by
rw [integral_mul_left]
apply mul_le_mul_of_nonneg_left (setIntegral_mono_set hmg.norm _ _) δpos.le
· filter_upwards with x using norm_nonneg _
· filter_upwards using diff_subset (s := s) (t := u)
calc
‖∫ x in s, φ i x • g x ∂μ‖ =
‖(∫ x in s \ u, φ i x • g x ∂μ) + ∫ x in s ∩ u, φ i x • g x ∂μ‖ := by
conv_lhs => rw [← diff_union_inter s u]
rw [integral_union disjoint_sdiff_inter (hs.inter u_open.measurableSet)
(h''i.mono_set diff_subset) (h''i.mono_set inter_subset_left)]
_ ≤ ‖∫ x in s \ u, φ i x • g x ∂μ‖ + ‖∫ x in s ∩ u, φ i x • g x ∂μ‖ := norm_add_le _ _
_ ≤ (δ * ∫ x in s, ‖g x‖ ∂μ) + 2 * δ := add_le_add C B
#align tendsto_set_integral_peak_smul_of_integrable_on_of_continuous_within_at_aux tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto_aux
@[deprecated (since := "2024-02-20")]
alias tendsto_setIntegral_peak_smul_of_integrableOn_of_continuousWithinAt_aux :=
tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto_aux
theorem tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto
(hs : MeasurableSet s) {t : Set α} (ht : MeasurableSet t) (hts : t ⊆ s) (h'ts : t ∈ 𝓝[s] x₀)
(h't : μ t ≠ ∞) (hnφ : ∀ᶠ i in l, ∀ x ∈ s, 0 ≤ φ i x)
(hlφ : ∀ u : Set α, IsOpen u → x₀ ∈ u → TendstoUniformlyOn φ 0 l (s \ u))
(hiφ : Tendsto (fun i ↦ ∫ x in t, φ i x ∂μ) l (𝓝 1))
(h'iφ : ∀ᶠ i in l, AEStronglyMeasurable (φ i) (μ.restrict s))
(hmg : IntegrableOn g s μ) (hcg : Tendsto g (𝓝[s] x₀) (𝓝 a)) :
Tendsto (fun i : ι ↦ ∫ x in s, φ i x • g x ∂μ) l (𝓝 a) := by
let h := g - t.indicator (fun _ ↦ a)
have A : Tendsto (fun i : ι => (∫ x in s, φ i x • h x ∂μ) + (∫ x in t, φ i x ∂μ) • a) l
(𝓝 (0 + (1 : ℝ) • a)) := by
refine Tendsto.add ?_ (Tendsto.smul hiφ tendsto_const_nhds)
apply tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto_aux hs ht hts h'ts
hnφ hlφ hiφ h'iφ
· apply hmg.sub
simp only [integrable_indicator_iff ht, integrableOn_const, ht, Measure.restrict_apply]
right
exact lt_of_le_of_lt (measure_mono inter_subset_left) (h't.lt_top)
· rw [← sub_self a]
apply Tendsto.sub hcg
apply tendsto_const_nhds.congr'
filter_upwards [h'ts] with x hx using by simp [hx]
simp only [one_smul, zero_add] at A
refine Tendsto.congr' ?_ A
filter_upwards [integrableOn_peak_smul_of_integrableOn_of_tendsto hs h'ts
hlφ hiφ h'iφ hmg hcg,
(tendsto_order.1 (tendsto_iff_norm_sub_tendsto_zero.1 hiφ)).2 1 zero_lt_one] with i hi h'i
simp only [h, Pi.sub_apply, smul_sub, ← indicator_smul_apply]
rw [integral_sub hi, setIntegral_indicator ht, inter_eq_right.mpr hts,
integral_smul_const, sub_add_cancel]
rw [integrable_indicator_iff ht]
apply Integrable.smul_const
rw [restrict_restrict ht, inter_eq_left.mpr hts]
exact .of_integral_ne_zero (fun h ↦ by simp [h] at h'i)
#align tendsto_set_integral_peak_smul_of_integrable_on_of_continuous_within_at tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto
@[deprecated (since := "2024-02-20")]
alias tendsto_setIntegral_peak_smul_of_integrableOn_of_continuousWithinAt :=
tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto
| Mathlib/MeasureTheory/Integral/PeakFunction.lean | 235 | 247 | theorem tendsto_integral_peak_smul_of_integrable_of_tendsto
{t : Set α} (ht : MeasurableSet t) (h'ts : t ∈ 𝓝 x₀)
(h't : μ t ≠ ∞) (hnφ : ∀ᶠ i in l, ∀ x, 0 ≤ φ i x)
(hlφ : ∀ u : Set α, IsOpen u → x₀ ∈ u → TendstoUniformlyOn φ 0 l uᶜ)
(hiφ : Tendsto (fun i ↦ ∫ x in t, φ i x ∂μ) l (𝓝 1))
(h'iφ : ∀ᶠ i in l, AEStronglyMeasurable (φ i) μ)
(hmg : Integrable g μ) (hcg : Tendsto g (𝓝 x₀) (𝓝 a)) :
Tendsto (fun i : ι ↦ ∫ x, φ i x • g x ∂μ) l (𝓝 a) := by |
suffices Tendsto (fun i : ι ↦ ∫ x in univ, φ i x • g x ∂μ) l (𝓝 a) by simpa
exact tendsto_setIntegral_peak_smul_of_integrableOn_of_tendsto MeasurableSet.univ ht (x₀ := x₀)
(subset_univ _) (by simpa [nhdsWithin_univ]) h't (by simpa)
(by simpa [← compl_eq_univ_diff] using hlφ) hiφ
(by simpa) (by simpa) (by simpa [nhdsWithin_univ])
|
import Mathlib.Topology.Algebra.InfiniteSum.Defs
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Topology.Algebra.Monoid
noncomputable section
open Filter Finset Function
open scoped Topology
variable {α β γ δ : Type*}
section tprod
variable [CommMonoid α] [TopologicalSpace α] {f g : β → α} {a a₁ a₂ : α}
@[to_additive]
theorem tprod_congr_set_coe (f : β → α) {s t : Set β} (h : s = t) :
∏' x : s, f x = ∏' x : t, f x := by rw [h]
#align tsum_congr_subtype tsum_congr_set_coe
@[to_additive]
theorem tprod_congr_subtype (f : β → α) {P Q : β → Prop} (h : ∀ x, P x ↔ Q x) :
∏' x : {x // P x}, f x = ∏' x : {x // Q x}, f x :=
tprod_congr_set_coe f <| Set.ext h
@[to_additive]
theorem tprod_eq_finprod (hf : (mulSupport f).Finite) :
∏' b, f b = ∏ᶠ b, f b := by simp [tprod_def, multipliable_of_finite_mulSupport hf, hf]
@[to_additive]
theorem tprod_eq_prod' {s : Finset β} (hf : mulSupport f ⊆ s) :
∏' b, f b = ∏ b ∈ s, f b := by
rw [tprod_eq_finprod (s.finite_toSet.subset hf), finprod_eq_prod_of_mulSupport_subset _ hf]
@[to_additive]
theorem tprod_eq_prod {s : Finset β} (hf : ∀ b ∉ s, f b = 1) :
∏' b, f b = ∏ b ∈ s, f b :=
tprod_eq_prod' <| mulSupport_subset_iff'.2 hf
#align tsum_eq_sum tsum_eq_sum
@[to_additive (attr := simp)]
theorem tprod_one : ∏' _ : β, (1 : α) = 1 := by rw [tprod_eq_finprod] <;> simp
#align tsum_zero tsum_zero
#align tsum_zero' tsum_zero
@[to_additive (attr := simp)]
theorem tprod_empty [IsEmpty β] : ∏' b, f b = 1 := by
rw [tprod_eq_prod (s := (∅ : Finset β))] <;> simp
#align tsum_empty tsum_empty
@[to_additive]
theorem tprod_congr {f g : β → α}
(hfg : ∀ b, f b = g b) : ∏' b, f b = ∏' b, g b :=
congr_arg tprod (funext hfg)
#align tsum_congr tsum_congr
@[to_additive]
theorem tprod_fintype [Fintype β] (f : β → α) : ∏' b, f b = ∏ b, f b := by
apply tprod_eq_prod; simp
#align tsum_fintype tsum_fintype
@[to_additive]
theorem prod_eq_tprod_mulIndicator (f : β → α) (s : Finset β) :
∏ x ∈ s, f x = ∏' x, Set.mulIndicator (↑s) f x := by
rw [tprod_eq_prod' (Set.mulSupport_mulIndicator_subset),
Finset.prod_mulIndicator_subset _ Finset.Subset.rfl]
#align sum_eq_tsum_indicator sum_eq_tsum_indicator
@[to_additive]
theorem tprod_bool (f : Bool → α) : ∏' i : Bool, f i = f false * f true := by
rw [tprod_fintype, Fintype.prod_bool, mul_comm]
#align tsum_bool tsum_bool
@[to_additive]
theorem tprod_eq_mulSingle {f : β → α} (b : β) (hf : ∀ b' ≠ b, f b' = 1) :
∏' b, f b = f b := by
rw [tprod_eq_prod (s := {b}), prod_singleton]
exact fun b' hb' ↦ hf b' (by simpa using hb')
#align tsum_eq_single tsum_eq_single
@[to_additive]
theorem tprod_tprod_eq_mulSingle (f : β → γ → α) (b : β) (c : γ) (hfb : ∀ b' ≠ b, f b' c = 1)
(hfc : ∀ b', ∀ c' ≠ c, f b' c' = 1) : ∏' (b') (c'), f b' c' = f b c :=
calc
∏' (b') (c'), f b' c' = ∏' b', f b' c := tprod_congr fun b' ↦ tprod_eq_mulSingle _ (hfc b')
_ = f b c := tprod_eq_mulSingle _ hfb
#align tsum_tsum_eq_single tsum_tsum_eq_single
@[to_additive (attr := simp)]
theorem tprod_ite_eq (b : β) [DecidablePred (· = b)] (a : α) :
∏' b', (if b' = b then a else 1) = a := by
rw [tprod_eq_mulSingle b]
· simp
· intro b' hb'; simp [hb']
#align tsum_ite_eq tsum_ite_eq
-- Porting note: Added nolint simpNF, simpNF falsely claims that lhs does not simplify under simp
@[to_additive (attr := simp, nolint simpNF)]
theorem Finset.tprod_subtype (s : Finset β) (f : β → α) :
∏' x : { x // x ∈ s }, f x = ∏ x ∈ s, f x := by
rw [← prod_attach]; exact tprod_fintype _
#align finset.tsum_subtype Finset.tsum_subtype
@[to_additive]
| Mathlib/Topology/Algebra/InfiniteSum/Basic.lean | 475 | 476 | theorem Finset.tprod_subtype' (s : Finset β) (f : β → α) :
∏' x : (s : Set β), f x = ∏ x ∈ s, f x := by | simp
|
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic
#align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open FiniteDimensional Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "J" => o.rightAngleRotation
def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V :=
LinearMap.isometryOfInner
(Real.Angle.cos θ • LinearMap.id +
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
intro x y
simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply,
LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv,
Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left,
Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left,
inner_add_right, inner_smul_right]
linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq)
#align orientation.rotation_aux Orientation.rotationAux
@[simp]
theorem rotationAux_apply (θ : Real.Angle) (x : V) :
o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_aux_apply Orientation.rotationAux_apply
def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V :=
LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ)
(Real.Angle.cos θ • LinearMap.id -
Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul,
smul_add, smul_neg, smul_sub, mul_comm, sq]
abel
· simp)
(by
ext x
convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1
· simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply,
Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap,
LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp,
LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply,
add_smul, smul_neg, smul_sub, smul_smul]
ring_nf
abel
· simp)
#align orientation.rotation Orientation.rotation
theorem rotation_apply (θ : Real.Angle) (x : V) :
o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_apply Orientation.rotation_apply
theorem rotation_symm_apply (θ : Real.Angle) (x : V) :
(o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x :=
rfl
#align orientation.rotation_symm_apply Orientation.rotation_symm_apply
theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) :
(o.rotation θ).toLinearMap =
Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx)
!![θ.cos, -θ.sin; θ.sin, θ.cos] := by
apply (o.basisRightAngleRotation x hx).ext
intro i
fin_cases i
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ]
· rw [Matrix.toLin_self]
simp [rotation_apply, Fin.sum_univ_succ, add_comm]
#align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin
@[simp]
theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by
haveI : Nontrivial V :=
FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _)
obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V)
rw [o.rotation_eq_matrix_toLin θ hx]
simpa [sq] using θ.cos_sq_add_sin_sq
#align orientation.det_rotation Orientation.det_rotation
@[simp]
theorem linearEquiv_det_rotation (θ : Real.Angle) :
LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 :=
Units.ext <| by
-- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite
-- in mathlib3 this was just `units.ext <| o.det_rotation θ`
simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ
#align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation
@[simp]
theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by
ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg]
#align orientation.rotation_symm Orientation.rotation_symm
@[simp]
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation]
#align orientation.rotation_zero Orientation.rotation_zero
@[simp]
theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by
ext x
simp [rotation]
#align orientation.rotation_pi Orientation.rotation_pi
theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp
#align orientation.rotation_pi_apply Orientation.rotation_pi_apply
theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by
ext x
simp [rotation]
#align orientation.rotation_pi_div_two Orientation.rotation_pi_div_two
@[simp]
theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) :
o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by
simp only [o.rotation_apply, ← mul_smul, Real.Angle.cos_add, Real.Angle.sin_add, add_smul,
sub_smul, LinearIsometryEquiv.trans_apply, smul_add, LinearIsometryEquiv.map_add,
LinearIsometryEquiv.map_smul, rightAngleRotation_rightAngleRotation, smul_neg]
ring_nf
abel
#align orientation.rotation_rotation Orientation.rotation_rotation
@[simp]
theorem rotation_trans (θ₁ θ₂ : Real.Angle) :
(o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) :=
LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply]
#align orientation.rotation_trans Orientation.rotation_trans
@[simp]
theorem kahler_rotation_left (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = conj (θ.expMapCircle : ℂ) * o.kahler x y := by
-- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`;
-- I believe this is because the respective coercions are no longer defeq, and
-- `Real.Angle.coe_expMapCircle` uses the `Complex` version.
simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply,
LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left,
Real.Angle.coe_expMapCircle, Complex.conj_ofReal, conj_I]
ring
#align orientation.kahler_rotation_left Orientation.kahler_rotation_left
theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by
rw [← o.rotation_pi_apply, rotation_rotation]
#align orientation.neg_rotation Orientation.neg_rotation
@[simp]
theorem neg_rotation_neg_pi_div_two (x : V) :
-o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by
rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half]
#align orientation.neg_rotation_neg_pi_div_two Orientation.neg_rotation_neg_pi_div_two
theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x :=
(neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm
#align orientation.neg_rotation_pi_div_two Orientation.neg_rotation_pi_div_two
| Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean | 210 | 212 | theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) :
o.kahler (o.rotation θ x) y = (-θ).expMapCircle * o.kahler x y := by |
simp only [Real.Angle.expMapCircle_neg, coe_inv_circle_eq_conj, kahler_rotation_left]
|
import Mathlib.Algebra.CharP.Basic
import Mathlib.Data.Fintype.Units
import Mathlib.GroupTheory.OrderOfElement
#align_import number_theory.legendre_symbol.mul_character from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
namespace MulChar
section Group
-- The domain of our multiplicative characters
variable {R : Type*} [CommMonoid R]
-- The target
variable {R' : Type*} [CommMonoidWithZero R']
variable (R R') in
@[simps]
noncomputable def trivial : MulChar R R' where
toFun := by classical exact fun x => if IsUnit x then 1 else 0
map_nonunit' := by
intro a ha
simp only [ha, if_false]
map_one' := by simp only [isUnit_one, if_true]
map_mul' := by
intro x y
classical
simp only [IsUnit.mul_iff, boole_mul]
split_ifs <;> tauto
#align mul_char.trivial MulChar.trivial
@[simp]
theorem coe_mk (f : R →* R') (hf) : (MulChar.mk f hf : R → R') = f :=
rfl
#align mul_char.coe_mk MulChar.coe_mk
theorem ext' {χ χ' : MulChar R R'} (h : ∀ a, χ a = χ' a) : χ = χ' := by
cases χ
cases χ'
congr
exact MonoidHom.ext h
#align mul_char.ext' MulChar.ext'
instance : MulCharClass (MulChar R R') R R' where
map_mul χ := χ.map_mul'
map_one χ := χ.map_one'
map_nonunit χ := χ.map_nonunit' _
theorem map_nonunit (χ : MulChar R R') {a : R} (ha : ¬IsUnit a) : χ a = 0 :=
χ.map_nonunit' a ha
#align mul_char.map_nonunit MulChar.map_nonunit
@[ext]
theorem ext {χ χ' : MulChar R R'} (h : ∀ a : Rˣ, χ a = χ' a) : χ = χ' := by
apply ext'
intro a
by_cases ha : IsUnit a
· exact h ha.unit
· rw [map_nonunit χ ha, map_nonunit χ' ha]
#align mul_char.ext MulChar.ext
theorem ext_iff {χ χ' : MulChar R R'} : χ = χ' ↔ ∀ a : Rˣ, χ a = χ' a :=
⟨by
rintro rfl a
rfl, ext⟩
#align mul_char.ext_iff MulChar.ext_iff
def toUnitHom (χ : MulChar R R') : Rˣ →* R'ˣ :=
Units.map χ
#align mul_char.to_unit_hom MulChar.toUnitHom
theorem coe_toUnitHom (χ : MulChar R R') (a : Rˣ) : ↑(χ.toUnitHom a) = χ a :=
rfl
#align mul_char.coe_to_unit_hom MulChar.coe_toUnitHom
noncomputable def ofUnitHom (f : Rˣ →* R'ˣ) : MulChar R R' where
toFun := by classical exact fun x => if hx : IsUnit x then f hx.unit else 0
map_one' := by
have h1 : (isUnit_one.unit : Rˣ) = 1 := Units.eq_iff.mp rfl
simp only [h1, dif_pos, Units.val_eq_one, map_one, isUnit_one]
map_mul' := by
classical
intro x y
by_cases hx : IsUnit x
· simp only [hx, IsUnit.mul_iff, true_and_iff, dif_pos]
by_cases hy : IsUnit y
· simp only [hy, dif_pos]
have hm : (IsUnit.mul_iff.mpr ⟨hx, hy⟩).unit = hx.unit * hy.unit := Units.eq_iff.mp rfl
rw [hm, map_mul]
norm_cast
· simp only [hy, not_false_iff, dif_neg, mul_zero]
· simp only [hx, IsUnit.mul_iff, false_and_iff, not_false_iff, dif_neg, zero_mul]
map_nonunit' := by
intro a ha
simp only [ha, not_false_iff, dif_neg]
#align mul_char.of_unit_hom MulChar.ofUnitHom
theorem ofUnitHom_coe (f : Rˣ →* R'ˣ) (a : Rˣ) : ofUnitHom f ↑a = f a := by simp [ofUnitHom]
#align mul_char.of_unit_hom_coe MulChar.ofUnitHom_coe
noncomputable def equivToUnitHom : MulChar R R' ≃ (Rˣ →* R'ˣ) where
toFun := toUnitHom
invFun := ofUnitHom
left_inv := by
intro χ
ext x
rw [ofUnitHom_coe, coe_toUnitHom]
right_inv := by
intro f
ext x
simp only [coe_toUnitHom, ofUnitHom_coe]
#align mul_char.equiv_to_unit_hom MulChar.equivToUnitHom
@[simp]
theorem toUnitHom_eq (χ : MulChar R R') : toUnitHom χ = equivToUnitHom χ :=
rfl
#align mul_char.to_unit_hom_eq MulChar.toUnitHom_eq
@[simp]
theorem ofUnitHom_eq (χ : Rˣ →* R'ˣ) : ofUnitHom χ = equivToUnitHom.symm χ :=
rfl
#align mul_char.of_unit_hom_eq MulChar.ofUnitHom_eq
@[simp]
theorem coe_equivToUnitHom (χ : MulChar R R') (a : Rˣ) : ↑(equivToUnitHom χ a) = χ a :=
coe_toUnitHom χ a
#align mul_char.coe_equiv_to_unit_hom MulChar.coe_equivToUnitHom
@[simp]
theorem equivToUnitHom_symm_coe (f : Rˣ →* R'ˣ) (a : Rˣ) : equivToUnitHom.symm f ↑a = f a :=
ofUnitHom_coe f a
#align mul_char.equiv_unit_hom_symm_coe MulChar.equivToUnitHom_symm_coe
@[simp]
lemma coe_toMonoidHom [CommMonoid R] (χ : MulChar R R')
(x : R) : χ.toMonoidHom x = χ x := rfl
protected theorem map_one (χ : MulChar R R') : χ (1 : R) = 1 :=
χ.map_one'
#align mul_char.map_one MulChar.map_one
protected theorem map_zero {R : Type*} [CommMonoidWithZero R] [Nontrivial R] (χ : MulChar R R') :
χ (0 : R) = 0 := by rw [map_nonunit χ not_isUnit_zero]
#align mul_char.map_zero MulChar.map_zero
@[coe, simps]
def toMonoidWithZeroHom {R : Type*} [CommMonoidWithZero R] [Nontrivial R] (χ : MulChar R R') :
R →*₀ R' where
toFun := χ.toFun
map_zero' := χ.map_zero
map_one' := χ.map_one'
map_mul' := χ.map_mul'
theorem map_ringChar {R : Type*} [CommRing R] [Nontrivial R] (χ : MulChar R R') :
χ (ringChar R) = 0 := by rw [ringChar.Nat.cast_ringChar, χ.map_zero]
#align mul_char.map_ring_char MulChar.map_ringChar
noncomputable instance hasOne : One (MulChar R R') :=
⟨trivial R R'⟩
#align mul_char.has_one MulChar.hasOne
noncomputable instance inhabited : Inhabited (MulChar R R') :=
⟨1⟩
#align mul_char.inhabited MulChar.inhabited
@[simp]
theorem one_apply_coe (a : Rˣ) : (1 : MulChar R R') a = 1 := by classical exact dif_pos a.isUnit
#align mul_char.one_apply_coe MulChar.one_apply_coe
lemma one_apply {x : R} (hx : IsUnit x) : (1 : MulChar R R') x = 1 := one_apply_coe hx.unit
def mul (χ χ' : MulChar R R') : MulChar R R' :=
{ χ.toMonoidHom * χ'.toMonoidHom with
toFun := χ * χ'
map_nonunit' := fun a ha => by simp only [map_nonunit χ ha, zero_mul, Pi.mul_apply] }
#align mul_char.mul MulChar.mul
instance hasMul : Mul (MulChar R R') :=
⟨mul⟩
#align mul_char.has_mul MulChar.hasMul
theorem mul_apply (χ χ' : MulChar R R') (a : R) : (χ * χ') a = χ a * χ' a :=
rfl
#align mul_char.mul_apply MulChar.mul_apply
@[simp]
theorem coeToFun_mul (χ χ' : MulChar R R') : ⇑(χ * χ') = χ * χ' :=
rfl
#align mul_char.coe_to_fun_mul MulChar.coeToFun_mul
protected theorem one_mul (χ : MulChar R R') : (1 : MulChar R R') * χ = χ := by
ext
simp only [one_mul, Pi.mul_apply, MulChar.coeToFun_mul, MulChar.one_apply_coe]
#align mul_char.one_mul MulChar.one_mul
protected theorem mul_one (χ : MulChar R R') : χ * 1 = χ := by
ext
simp only [mul_one, Pi.mul_apply, MulChar.coeToFun_mul, MulChar.one_apply_coe]
#align mul_char.mul_one MulChar.mul_one
noncomputable def inv (χ : MulChar R R') : MulChar R R' :=
{ MonoidWithZero.inverse.toMonoidHom.comp χ.toMonoidHom with
toFun := fun a => MonoidWithZero.inverse (χ a)
map_nonunit' := fun a ha => by simp [map_nonunit _ ha] }
#align mul_char.inv MulChar.inv
noncomputable instance hasInv : Inv (MulChar R R') :=
⟨inv⟩
#align mul_char.has_inv MulChar.hasInv
theorem inv_apply_eq_inv (χ : MulChar R R') (a : R) : χ⁻¹ a = Ring.inverse (χ a) :=
Eq.refl <| inv χ a
#align mul_char.inv_apply_eq_inv MulChar.inv_apply_eq_inv
theorem inv_apply_eq_inv' {R' : Type*} [Field R'] (χ : MulChar R R') (a : R) : χ⁻¹ a = (χ a)⁻¹ :=
(inv_apply_eq_inv χ a).trans <| Ring.inverse_eq_inv (χ a)
#align mul_char.inv_apply_eq_inv' MulChar.inv_apply_eq_inv'
theorem inv_apply {R : Type*} [CommMonoidWithZero R] (χ : MulChar R R') (a : R) :
χ⁻¹ a = χ (Ring.inverse a) := by
by_cases ha : IsUnit a
· rw [inv_apply_eq_inv]
have h := IsUnit.map χ ha
apply_fun (χ a * ·) using IsUnit.mul_right_injective h
dsimp only
rw [Ring.mul_inverse_cancel _ h, ← map_mul, Ring.mul_inverse_cancel _ ha, map_one]
· revert ha
nontriviality R
intro ha
-- `nontriviality R` by itself doesn't do it
rw [map_nonunit _ ha, Ring.inverse_non_unit a ha, MulChar.map_zero χ]
#align mul_char.inv_apply MulChar.inv_apply
theorem inv_apply' {R : Type*} [Field R] (χ : MulChar R R') (a : R) : χ⁻¹ a = χ a⁻¹ :=
(inv_apply χ a).trans <| congr_arg _ (Ring.inverse_eq_inv a)
#align mul_char.inv_apply' MulChar.inv_apply'
-- Porting note (#10618): @[simp] can prove this (later)
theorem inv_mul (χ : MulChar R R') : χ⁻¹ * χ = 1 := by
ext x
rw [coeToFun_mul, Pi.mul_apply, inv_apply_eq_inv]
simp only [Ring.inverse_mul_cancel _ (IsUnit.map χ x.isUnit)]
rw [one_apply_coe]
#align mul_char.inv_mul MulChar.inv_mul
noncomputable instance commGroup : CommGroup (MulChar R R') :=
{ one := 1
mul := (· * ·)
inv := Inv.inv
mul_left_inv := inv_mul
mul_assoc := by
intro χ₁ χ₂ χ₃
ext a
simp only [mul_assoc, Pi.mul_apply, MulChar.coeToFun_mul]
mul_comm := by
intro χ₁ χ₂
ext a
simp only [mul_comm, Pi.mul_apply, MulChar.coeToFun_mul]
one_mul := MulChar.one_mul
mul_one := MulChar.mul_one }
#align mul_char.comm_group MulChar.commGroup
| Mathlib/NumberTheory/MulChar/Basic.lean | 383 | 386 | theorem pow_apply_coe (χ : MulChar R R') (n : ℕ) (a : Rˣ) : (χ ^ n) a = χ a ^ n := by |
induction' n with n ih
· rw [pow_zero, pow_zero, one_apply_coe]
· rw [pow_succ, pow_succ, mul_apply, ih]
|
import Mathlib.Order.Interval.Set.Disjoint
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
#align_import measure_theory.integral.interval_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical
open MeasureTheory Set Filter Function
open scoped Classical Topology Filter ENNReal Interval NNReal
variable {ι 𝕜 E F A : Type*} [NormedAddCommGroup E]
def IntervalIntegrable (f : ℝ → E) (μ : Measure ℝ) (a b : ℝ) : Prop :=
IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ
#align interval_integrable IntervalIntegrable
section
variable {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
theorem intervalIntegrable_iff : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ι a b) μ := by
rw [uIoc_eq_union, integrableOn_union, IntervalIntegrable]
#align interval_integrable_iff intervalIntegrable_iff
theorem IntervalIntegrable.def' (h : IntervalIntegrable f μ a b) : IntegrableOn f (Ι a b) μ :=
intervalIntegrable_iff.mp h
#align interval_integrable.def IntervalIntegrable.def'
theorem intervalIntegrable_iff_integrableOn_Ioc_of_le (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioc a b) μ := by
rw [intervalIntegrable_iff, uIoc_of_le hab]
#align interval_integrable_iff_integrable_Ioc_of_le intervalIntegrable_iff_integrableOn_Ioc_of_le
theorem intervalIntegrable_iff' [NoAtoms μ] :
IntervalIntegrable f μ a b ↔ IntegrableOn f (uIcc a b) μ := by
rw [intervalIntegrable_iff, ← Icc_min_max, uIoc, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff' intervalIntegrable_iff'
theorem intervalIntegrable_iff_integrableOn_Icc_of_le {f : ℝ → E} {a b : ℝ} (hab : a ≤ b)
{μ : Measure ℝ} [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (Icc a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff_integrable_Icc_of_le intervalIntegrable_iff_integrableOn_Icc_of_le
theorem intervalIntegrable_iff_integrableOn_Ico_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ico a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ico]
theorem intervalIntegrable_iff_integrableOn_Ioo_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioo a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioo]
theorem MeasureTheory.Integrable.intervalIntegrable (hf : Integrable f μ) :
IntervalIntegrable f μ a b :=
⟨hf.integrableOn, hf.integrableOn⟩
#align measure_theory.integrable.interval_integrable MeasureTheory.Integrable.intervalIntegrable
theorem MeasureTheory.IntegrableOn.intervalIntegrable (hf : IntegrableOn f [[a, b]] μ) :
IntervalIntegrable f μ a b :=
⟨MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc),
MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc')⟩
#align measure_theory.integrable_on.interval_integrable MeasureTheory.IntegrableOn.intervalIntegrable
theorem intervalIntegrable_const_iff {c : E} :
IntervalIntegrable (fun _ => c) μ a b ↔ c = 0 ∨ μ (Ι a b) < ∞ := by
simp only [intervalIntegrable_iff, integrableOn_const]
#align interval_integrable_const_iff intervalIntegrable_const_iff
@[simp]
theorem intervalIntegrable_const [IsLocallyFiniteMeasure μ] {c : E} :
IntervalIntegrable (fun _ => c) μ a b :=
intervalIntegrable_const_iff.2 <| Or.inr measure_Ioc_lt_top
#align interval_integrable_const intervalIntegrable_const
end
namespace IntervalIntegrable
section
variable {f : ℝ → E} {a b c d : ℝ} {μ ν : Measure ℝ}
@[symm]
nonrec theorem symm (h : IntervalIntegrable f μ a b) : IntervalIntegrable f μ b a :=
h.symm
#align interval_integrable.symm IntervalIntegrable.symm
@[refl, simp] -- Porting note: added `simp`
| Mathlib/MeasureTheory/Integral/IntervalIntegral.lean | 161 | 161 | theorem refl : IntervalIntegrable f μ a a := by | constructor <;> simp
|
import Mathlib.Algebra.Ring.Int
import Mathlib.Data.ZMod.Basic
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Data.Fintype.BigOperators
#align_import number_theory.sum_four_squares from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc"
open Finset Polynomial FiniteField Equiv
theorem euler_four_squares {R : Type*} [CommRing R] (a b c d x y z w : R) :
(a * x - b * y - c * z - d * w) ^ 2 + (a * y + b * x + c * w - d * z) ^ 2 +
(a * z - b * w + c * x + d * y) ^ 2 + (a * w + b * z - c * y + d * x) ^ 2 =
(a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2) * (x ^ 2 + y ^ 2 + z ^ 2 + w ^ 2) := by ring
theorem Nat.euler_four_squares (a b c d x y z w : ℕ) :
((a : ℤ) * x - b * y - c * z - d * w).natAbs ^ 2 +
((a : ℤ) * y + b * x + c * w - d * z).natAbs ^ 2 +
((a : ℤ) * z - b * w + c * x + d * y).natAbs ^ 2 +
((a : ℤ) * w + b * z - c * y + d * x).natAbs ^ 2 =
(a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2) * (x ^ 2 + y ^ 2 + z ^ 2 + w ^ 2) := by
rw [← Int.natCast_inj]
push_cast
simp only [sq_abs, _root_.euler_four_squares]
namespace Int
| Mathlib/NumberTheory/SumFourSquares.lean | 46 | 59 | theorem sq_add_sq_of_two_mul_sq_add_sq {m x y : ℤ} (h : 2 * m = x ^ 2 + y ^ 2) :
m = ((x - y) / 2) ^ 2 + ((x + y) / 2) ^ 2 :=
have : Even (x ^ 2 + y ^ 2) := by | simp [← h, even_mul]
have hxaddy : Even (x + y) := by simpa [sq, parity_simps]
have hxsuby : Even (x - y) := by simpa [sq, parity_simps]
mul_right_injective₀ (show (2 * 2 : ℤ) ≠ 0 by decide) <|
calc
2 * 2 * m = (x - y) ^ 2 + (x + y) ^ 2 := by rw [mul_assoc, h]; ring
_ = (2 * ((x - y) / 2)) ^ 2 + (2 * ((x + y) / 2)) ^ 2 := by
rw [even_iff_two_dvd] at hxsuby hxaddy
rw [Int.mul_ediv_cancel' hxsuby, Int.mul_ediv_cancel' hxaddy]
_ = 2 * 2 * (((x - y) / 2) ^ 2 + ((x + y) / 2) ^ 2) := by
set_option simprocs false in
simp [mul_add, pow_succ, mul_comm, mul_assoc, mul_left_comm]
|
import Mathlib.Algebra.Group.Conj
import Mathlib.Algebra.Group.Pi.Lemmas
import Mathlib.Algebra.Group.Subsemigroup.Operations
import Mathlib.Algebra.Group.Submonoid.Operations
import Mathlib.Algebra.Order.Group.Abs
import Mathlib.Data.Set.Image
import Mathlib.Order.Atoms
import Mathlib.Tactic.ApplyFun
#align_import group_theory.subgroup.basic from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef"
open Function
open Int
variable {G G' G'' : Type*} [Group G] [Group G'] [Group G'']
variable {A : Type*} [AddGroup A]
section SubgroupClass
class InvMemClass (S G : Type*) [Inv G] [SetLike S G] : Prop where
inv_mem : ∀ {s : S} {x}, x ∈ s → x⁻¹ ∈ s
#align inv_mem_class InvMemClass
export InvMemClass (inv_mem)
class NegMemClass (S G : Type*) [Neg G] [SetLike S G] : Prop where
neg_mem : ∀ {s : S} {x}, x ∈ s → -x ∈ s
#align neg_mem_class NegMemClass
export NegMemClass (neg_mem)
class SubgroupClass (S G : Type*) [DivInvMonoid G] [SetLike S G] extends SubmonoidClass S G,
InvMemClass S G : Prop
#align subgroup_class SubgroupClass
class AddSubgroupClass (S G : Type*) [SubNegMonoid G] [SetLike S G] extends AddSubmonoidClass S G,
NegMemClass S G : Prop
#align add_subgroup_class AddSubgroupClass
attribute [to_additive] InvMemClass SubgroupClass
attribute [aesop safe apply (rule_sets := [SetLike])] inv_mem neg_mem
@[to_additive (attr := simp)]
theorem inv_mem_iff {S G} [InvolutiveInv G] {_ : SetLike S G} [InvMemClass S G] {H : S}
{x : G} : x⁻¹ ∈ H ↔ x ∈ H :=
⟨fun h => inv_inv x ▸ inv_mem h, inv_mem⟩
#align inv_mem_iff inv_mem_iff
#align neg_mem_iff neg_mem_iff
@[simp] theorem abs_mem_iff {S G} [AddGroup G] [LinearOrder G] {_ : SetLike S G}
[NegMemClass S G] {H : S} {x : G} : |x| ∈ H ↔ x ∈ H := by
cases abs_choice x <;> simp [*]
variable {M S : Type*} [DivInvMonoid M] [SetLike S M] [hSM : SubgroupClass S M] {H K : S}
@[to_additive (attr := aesop safe apply (rule_sets := [SetLike]))
"An additive subgroup is closed under subtraction."]
theorem div_mem {x y : M} (hx : x ∈ H) (hy : y ∈ H) : x / y ∈ H := by
rw [div_eq_mul_inv]; exact mul_mem hx (inv_mem hy)
#align div_mem div_mem
#align sub_mem sub_mem
@[to_additive (attr := aesop safe apply (rule_sets := [SetLike]))]
theorem zpow_mem {x : M} (hx : x ∈ K) : ∀ n : ℤ, x ^ n ∈ K
| (n : ℕ) => by
rw [zpow_natCast]
exact pow_mem hx n
| -[n+1] => by
rw [zpow_negSucc]
exact inv_mem (pow_mem hx n.succ)
#align zpow_mem zpow_mem
#align zsmul_mem zsmul_mem
variable [SetLike S G] [SubgroupClass S G]
@[to_additive]
theorem div_mem_comm_iff {a b : G} : a / b ∈ H ↔ b / a ∈ H :=
inv_div b a ▸ inv_mem_iff
#align div_mem_comm_iff div_mem_comm_iff
#align sub_mem_comm_iff sub_mem_comm_iff
@[to_additive ] -- Porting note: `simp` cannot simplify LHS
theorem exists_inv_mem_iff_exists_mem {P : G → Prop} :
(∃ x : G, x ∈ H ∧ P x⁻¹) ↔ ∃ x ∈ H, P x := by
constructor <;>
· rintro ⟨x, x_in, hx⟩
exact ⟨x⁻¹, inv_mem x_in, by simp [hx]⟩
#align exists_inv_mem_iff_exists_mem exists_inv_mem_iff_exists_mem
#align exists_neg_mem_iff_exists_mem exists_neg_mem_iff_exists_mem
@[to_additive]
theorem mul_mem_cancel_right {x y : G} (h : x ∈ H) : y * x ∈ H ↔ y ∈ H :=
⟨fun hba => by simpa using mul_mem hba (inv_mem h), fun hb => mul_mem hb h⟩
#align mul_mem_cancel_right mul_mem_cancel_right
#align add_mem_cancel_right add_mem_cancel_right
@[to_additive]
theorem mul_mem_cancel_left {x y : G} (h : x ∈ H) : x * y ∈ H ↔ y ∈ H :=
⟨fun hab => by simpa using mul_mem (inv_mem h) hab, mul_mem h⟩
#align mul_mem_cancel_left mul_mem_cancel_left
#align add_mem_cancel_left add_mem_cancel_left
namespace SubgroupClass
@[to_additive (attr := deprecated (since := "2024-01-15"))] alias coe_inv := InvMemClass.coe_inv
-- Here we assume H, K, and L are subgroups, but in fact any one of them
-- could be allowed to be a subsemigroup.
-- Counterexample where K and L are submonoids: H = ℤ, K = ℕ, L = -ℕ
-- Counterexample where H and K are submonoids: H = {n | n = 0 ∨ 3 ≤ n}, K = 3ℕ + 4ℕ, L = 5ℤ
@[to_additive]
theorem subset_union {H K L : S} : (H : Set G) ⊆ K ∪ L ↔ H ≤ K ∨ H ≤ L := by
refine ⟨fun h ↦ ?_, fun h x xH ↦ h.imp (· xH) (· xH)⟩
rw [or_iff_not_imp_left, SetLike.not_le_iff_exists]
exact fun ⟨x, xH, xK⟩ y yH ↦ (h <| mul_mem xH yH).elim
((h yH).resolve_left fun yK ↦ xK <| (mul_mem_cancel_right yK).mp ·)
(mul_mem_cancel_left <| (h xH).resolve_left xK).mp
@[to_additive "An additive subgroup of an `AddGroup` inherits a subtraction."]
instance div {G : Type u_1} {S : Type u_2} [DivInvMonoid G] [SetLike S G]
[SubgroupClass S G] {H : S} : Div H :=
⟨fun a b => ⟨a / b, div_mem a.2 b.2⟩⟩
#align subgroup_class.has_div SubgroupClass.div
#align add_subgroup_class.has_sub AddSubgroupClass.sub
instance _root_.AddSubgroupClass.zsmul {M S} [SubNegMonoid M] [SetLike S M]
[AddSubgroupClass S M] {H : S} : SMul ℤ H :=
⟨fun n a => ⟨n • a.1, zsmul_mem a.2 n⟩⟩
#align add_subgroup_class.has_zsmul AddSubgroupClass.zsmul
@[to_additive existing]
instance zpow {M S} [DivInvMonoid M] [SetLike S M] [SubgroupClass S M] {H : S} : Pow H ℤ :=
⟨fun a n => ⟨a.1 ^ n, zpow_mem a.2 n⟩⟩
#align subgroup_class.has_zpow SubgroupClass.zpow
-- Porting note: additive align statement is given above
@[to_additive (attr := simp, norm_cast)]
theorem coe_div (x y : H) : (x / y).1 = x.1 / y.1 :=
rfl
#align subgroup_class.coe_div SubgroupClass.coe_div
#align add_subgroup_class.coe_sub AddSubgroupClass.coe_sub
variable (H)
-- Prefer subclasses of `Group` over subclasses of `SubgroupClass`.
@[to_additive "An additive subgroup of an `AddGroup` inherits an `AddGroup` structure."]
instance (priority := 75) toGroup : Group H :=
Subtype.coe_injective.group _ rfl (fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ _ => rfl
#align subgroup_class.to_group SubgroupClass.toGroup
#align add_subgroup_class.to_add_group AddSubgroupClass.toAddGroup
-- Prefer subclasses of `CommGroup` over subclasses of `SubgroupClass`.
@[to_additive "An additive subgroup of an `AddCommGroup` is an `AddCommGroup`."]
instance (priority := 75) toCommGroup {G : Type*} [CommGroup G] [SetLike S G] [SubgroupClass S G] :
CommGroup H :=
Subtype.coe_injective.commGroup _ rfl (fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ _ => rfl
#align subgroup_class.to_comm_group SubgroupClass.toCommGroup
#align add_subgroup_class.to_add_comm_group AddSubgroupClass.toAddCommGroup
@[to_additive (attr := coe)
"The natural group hom from an additive subgroup of `AddGroup` `G` to `G`."]
protected def subtype : H →* G where
toFun := ((↑) : H → G); map_one' := rfl; map_mul' := fun _ _ => rfl
#align subgroup_class.subtype SubgroupClass.subtype
#align add_subgroup_class.subtype AddSubgroupClass.subtype
@[to_additive (attr := simp)]
| Mathlib/Algebra/Group/Subgroup/Basic.lean | 280 | 281 | theorem coeSubtype : (SubgroupClass.subtype H : H → G) = ((↑) : H → G) := by |
rfl
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.BigOperators.Finsupp
#align_import algebra.big_operators.associated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
variable {α β γ δ : Type*}
-- the same local notation used in `Algebra.Associated`
local infixl:50 " ~ᵤ " => Associated
theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} :
x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 :=
⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩,
⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩,
fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ =>
⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩
theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M)
(g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by
induction s using Finset.induction with
| empty =>
simp only [Finset.prod_empty]
rfl
| @insert j s hjs IH =>
classical
convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i)
rw [Finset.prod_insert hjs, Finset.prod_insert hjs]
exact Associated.mul_mul (h j (Finset.mem_insert_self j s))
(IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi)))
theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p)
{s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q :=
Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by
rw [Multiset.prod_cons] at hps
cases' hp.dvd_or_dvd hps with h h
· have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl))
exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩
· rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩
exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩
#align exists_associated_mem_of_dvd_prod exists_associated_mem_of_dvd_prod
theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α]
[∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a)
(div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by
induction' s using Multiset.induction_on with a s induct n primes divs generalizing n
· simp only [Multiset.prod_zero, one_dvd]
· rw [Multiset.prod_cons]
obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s)
apply mul_dvd_mul_left a
refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_)
fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a)
have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s)
have a_prime := h a (Multiset.mem_cons_self a s)
have b_prime := h b (Multiset.mem_cons_of_mem b_in_s)
refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_
have assoc := b_prime.associated_of_dvd a_prime b_div_a
have := uniq a
rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt,
Multiset.countP_pos] at this
exact this ⟨b, b_in_s, assoc.symm⟩
#align multiset.prod_primes_dvd Multiset.prod_primes_dvd
theorem Finset.prod_primes_dvd [CancelCommMonoidWithZero α] [Unique αˣ] {s : Finset α} (n : α)
(h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) : (∏ p ∈ s, p) ∣ n := by
classical
exact
Multiset.prod_primes_dvd n (by simpa only [Multiset.map_id', Finset.mem_def] using h)
(by simpa only [Multiset.map_id', Finset.mem_def] using div)
(by
simp only [Multiset.map_id', associated_eq_eq, Multiset.countP_eq_card_filter,
← s.val.count_eq_card_filter_eq, ← Multiset.nodup_iff_count_le_one, s.nodup])
#align finset.prod_primes_dvd Finset.prod_primes_dvd
namespace Associates
section CommMonoid
variable [CommMonoid α]
theorem prod_mk {p : Multiset α} : (p.map Associates.mk).prod = Associates.mk p.prod :=
Multiset.induction_on p (by simp) fun a s ih => by simp [ih, Associates.mk_mul_mk]
#align associates.prod_mk Associates.prod_mk
| Mathlib/Algebra/BigOperators/Associated.lean | 124 | 130 | theorem finset_prod_mk {p : Finset β} {f : β → α} :
(∏ i ∈ p, Associates.mk (f i)) = Associates.mk (∏ i ∈ p, f i) := by |
-- Porting note: added
have : (fun i => Associates.mk (f i)) = Associates.mk ∘ f :=
funext fun x => Function.comp_apply
rw [Finset.prod_eq_multiset_prod, this, ← Multiset.map_map, prod_mk,
← Finset.prod_eq_multiset_prod]
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
#align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right
theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico]
exact Set.Icc_subset_Ico_right h
#align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by
rw [← coe_subset, coe_Ioo, coe_Ico]
exact Set.Ioo_subset_Ico_self
#align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by
rw [← coe_subset, coe_Ioo, coe_Ioc]
exact Set.Ioo_subset_Ioc_self
#align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ico, coe_Icc]
exact Set.Ico_subset_Icc_self
#align finset.Ico_subset_Icc_self Finset.Ico_subset_Icc_self
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ioc, coe_Icc]
exact Set.Ioc_subset_Icc_self
#align finset.Ioc_subset_Icc_self Finset.Ioc_subset_Icc_self
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Ioo_subset_Ico_self.trans Ico_subset_Icc_self
#align finset.Ioo_subset_Icc_self Finset.Ioo_subset_Icc_self
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by
rw [← coe_subset, coe_Icc, coe_Icc, Set.Icc_subset_Icc_iff h₁]
#align finset.Icc_subset_Icc_iff Finset.Icc_subset_Icc_iff
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ioo, Set.Icc_subset_Ioo_iff h₁]
#align finset.Icc_subset_Ioo_iff Finset.Icc_subset_Ioo_iff
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico, Set.Icc_subset_Ico_iff h₁]
#align finset.Icc_subset_Ico_iff Finset.Icc_subset_Ico_iff
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
(Icc_subset_Ico_iff h₁.dual).trans and_comm
#align finset.Icc_subset_Ioc_iff Finset.Icc_subset_Ioc_iff
--TODO: `Ico_subset_Ioo_iff`, `Ioc_subset_Ioo_iff`
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_left hI ha hb
#align finset.Icc_ssubset_Icc_left Finset.Icc_ssubset_Icc_left
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_right hI ha hb
#align finset.Icc_ssubset_Icc_right Finset.Icc_ssubset_Icc_right
variable (a)
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ico_self : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
#align finset.Ico_self Finset.Ico_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioc_self : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
#align finset.Ioc_self Finset.Ioc_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioo_self : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
#align finset.Ioo_self Finset.Ioo_self
variable {a}
def _root_.Set.fintypeOfMemBounds {s : Set α} [DecidablePred (· ∈ s)] (ha : a ∈ lowerBounds s)
(hb : b ∈ upperBounds s) : Fintype s :=
Set.fintypeSubset (Set.Icc a b) fun _ hx => ⟨ha hx, hb hx⟩
#align set.fintype_of_mem_bounds Set.fintypeOfMemBounds
section PartialOrder
variable [PartialOrder α] [LocallyFiniteOrder α] {a b c : α}
@[simp]
theorem Icc_self (a : α) : Icc a a = {a} := by rw [← coe_eq_singleton, coe_Icc, Set.Icc_self]
#align finset.Icc_self Finset.Icc_self
@[simp]
theorem Icc_eq_singleton_iff : Icc a b = {c} ↔ a = c ∧ b = c := by
rw [← coe_eq_singleton, coe_Icc, Set.Icc_eq_singleton_iff]
#align finset.Icc_eq_singleton_iff Finset.Icc_eq_singleton_iff
theorem Ico_disjoint_Ico_consecutive (a b c : α) : Disjoint (Ico a b) (Ico b c) :=
disjoint_left.2 fun _ hab hbc => (mem_Ico.mp hab).2.not_le (mem_Ico.mp hbc).1
#align finset.Ico_disjoint_Ico_consecutive Finset.Ico_disjoint_Ico_consecutive
-- Those lemmas are purposefully the other way around
theorem Icc_eq_cons_Ico (h : a ≤ b) : Icc a b = (Ico a b).cons b right_not_mem_Ico := by
classical rw [cons_eq_insert, Ico_insert_right h]
#align finset.Icc_eq_cons_Ico Finset.Icc_eq_cons_Ico
| Mathlib/Order/Interval/Finset/Basic.lean | 630 | 631 | theorem Icc_eq_cons_Ioc (h : a ≤ b) : Icc a b = (Ioc a b).cons a left_not_mem_Ioc := by |
classical rw [cons_eq_insert, Ioc_insert_left h]
|
import Mathlib.RingTheory.Ideal.Basic
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import ring_theory.graded_algebra.homogeneous_ideal from "leanprover-community/mathlib"@"4e861f25ba5ceef42ba0712d8ffeb32f38ad6441"
open SetLike DirectSum Set
open Pointwise DirectSum
variable {ι σ R A : Type*}
section Operations
section Semiring
variable [Semiring A] [DecidableEq ι] [AddMonoid ι]
variable [SetLike σ A] [AddSubmonoidClass σ A] (𝒜 : ι → σ) [GradedRing 𝒜]
variable {𝒜}
namespace HomogeneousIdeal
instance : PartialOrder (HomogeneousIdeal 𝒜) :=
SetLike.instPartialOrder
instance : Top (HomogeneousIdeal 𝒜) :=
⟨⟨⊤, Ideal.IsHomogeneous.top 𝒜⟩⟩
instance : Bot (HomogeneousIdeal 𝒜) :=
⟨⟨⊥, Ideal.IsHomogeneous.bot 𝒜⟩⟩
instance : Sup (HomogeneousIdeal 𝒜) :=
⟨fun I J => ⟨_, I.isHomogeneous.sup J.isHomogeneous⟩⟩
instance : Inf (HomogeneousIdeal 𝒜) :=
⟨fun I J => ⟨_, I.isHomogeneous.inf J.isHomogeneous⟩⟩
instance : SupSet (HomogeneousIdeal 𝒜) :=
⟨fun S => ⟨⨆ s ∈ S, toIdeal s, Ideal.IsHomogeneous.iSup₂ fun s _ => s.isHomogeneous⟩⟩
instance : InfSet (HomogeneousIdeal 𝒜) :=
⟨fun S => ⟨⨅ s ∈ S, toIdeal s, Ideal.IsHomogeneous.iInf₂ fun s _ => s.isHomogeneous⟩⟩
@[simp]
theorem coe_top : ((⊤ : HomogeneousIdeal 𝒜) : Set A) = univ :=
rfl
#align homogeneous_ideal.coe_top HomogeneousIdeal.coe_top
@[simp]
theorem coe_bot : ((⊥ : HomogeneousIdeal 𝒜) : Set A) = 0 :=
rfl
#align homogeneous_ideal.coe_bot HomogeneousIdeal.coe_bot
@[simp]
theorem coe_sup (I J : HomogeneousIdeal 𝒜) : ↑(I ⊔ J) = (I + J : Set A) :=
Submodule.coe_sup _ _
#align homogeneous_ideal.coe_sup HomogeneousIdeal.coe_sup
@[simp]
theorem coe_inf (I J : HomogeneousIdeal 𝒜) : (↑(I ⊓ J) : Set A) = ↑I ∩ ↑J :=
rfl
#align homogeneous_ideal.coe_inf HomogeneousIdeal.coe_inf
@[simp]
theorem toIdeal_top : (⊤ : HomogeneousIdeal 𝒜).toIdeal = (⊤ : Ideal A) :=
rfl
#align homogeneous_ideal.to_ideal_top HomogeneousIdeal.toIdeal_top
@[simp]
theorem toIdeal_bot : (⊥ : HomogeneousIdeal 𝒜).toIdeal = (⊥ : Ideal A) :=
rfl
#align homogeneous_ideal.to_ideal_bot HomogeneousIdeal.toIdeal_bot
@[simp]
theorem toIdeal_sup (I J : HomogeneousIdeal 𝒜) : (I ⊔ J).toIdeal = I.toIdeal ⊔ J.toIdeal :=
rfl
#align homogeneous_ideal.to_ideal_sup HomogeneousIdeal.toIdeal_sup
@[simp]
theorem toIdeal_inf (I J : HomogeneousIdeal 𝒜) : (I ⊓ J).toIdeal = I.toIdeal ⊓ J.toIdeal :=
rfl
#align homogeneous_ideal.to_ideal_inf HomogeneousIdeal.toIdeal_inf
@[simp]
theorem toIdeal_sSup (ℐ : Set (HomogeneousIdeal 𝒜)) : (sSup ℐ).toIdeal = ⨆ s ∈ ℐ, toIdeal s :=
rfl
#align homogeneous_ideal.to_ideal_Sup HomogeneousIdeal.toIdeal_sSup
@[simp]
theorem toIdeal_sInf (ℐ : Set (HomogeneousIdeal 𝒜)) : (sInf ℐ).toIdeal = ⨅ s ∈ ℐ, toIdeal s :=
rfl
#align homogeneous_ideal.to_ideal_Inf HomogeneousIdeal.toIdeal_sInf
@[simp]
theorem toIdeal_iSup {κ : Sort*} (s : κ → HomogeneousIdeal 𝒜) :
(⨆ i, s i).toIdeal = ⨆ i, (s i).toIdeal := by
rw [iSup, toIdeal_sSup, iSup_range]
#align homogeneous_ideal.to_ideal_supr HomogeneousIdeal.toIdeal_iSup
@[simp]
theorem toIdeal_iInf {κ : Sort*} (s : κ → HomogeneousIdeal 𝒜) :
(⨅ i, s i).toIdeal = ⨅ i, (s i).toIdeal := by
rw [iInf, toIdeal_sInf, iInf_range]
#align homogeneous_ideal.to_ideal_infi HomogeneousIdeal.toIdeal_iInf
-- @[simp] -- Porting note (#10618): simp can prove this
theorem toIdeal_iSup₂ {κ : Sort*} {κ' : κ → Sort*} (s : ∀ i, κ' i → HomogeneousIdeal 𝒜) :
(⨆ (i) (j), s i j).toIdeal = ⨆ (i) (j), (s i j).toIdeal := by
simp_rw [toIdeal_iSup]
#align homogeneous_ideal.to_ideal_supr₂ HomogeneousIdeal.toIdeal_iSup₂
-- @[simp] -- Porting note (#10618): simp can prove this
| Mathlib/RingTheory/GradedAlgebra/HomogeneousIdeal.lean | 416 | 418 | theorem toIdeal_iInf₂ {κ : Sort*} {κ' : κ → Sort*} (s : ∀ i, κ' i → HomogeneousIdeal 𝒜) :
(⨅ (i) (j), s i j).toIdeal = ⨅ (i) (j), (s i j).toIdeal := by |
simp_rw [toIdeal_iInf]
|
import Mathlib.CategoryTheory.Equivalence
#align_import category_theory.adjunction.basic from "leanprover-community/mathlib"@"d101e93197bb5f6ea89bd7ba386b7f7dff1f3903"
namespace CategoryTheory
open Category
-- declare the `v`'s first; see `CategoryTheory.Category` for an explanation
universe v₁ v₂ v₃ u₁ u₂ u₃
-- Porting Note: `elab_without_expected_type` cannot be a local attribute
-- attribute [local elab_without_expected_type] whiskerLeft whiskerRight
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D]
structure Adjunction (F : C ⥤ D) (G : D ⥤ C) where
homEquiv : ∀ X Y, (F.obj X ⟶ Y) ≃ (X ⟶ G.obj Y)
unit : 𝟭 C ⟶ F.comp G
counit : G.comp F ⟶ 𝟭 D
-- Porting note: It's strange that this `Prop` is being flagged by the `docBlame` linter
homEquiv_unit : ∀ {X Y f}, (homEquiv X Y) f = (unit : _ ⟶ _).app X ≫ G.map f := by aesop_cat
-- Porting note: It's strange that this `Prop` is being flagged by the `docBlame` linter
homEquiv_counit : ∀ {X Y g}, (homEquiv X Y).symm g = F.map g ≫ counit.app Y := by aesop_cat
#align category_theory.adjunction CategoryTheory.Adjunction
#align category_theory.adjunction.hom_equiv CategoryTheory.Adjunction.homEquiv
#align category_theory.adjunction.hom_equiv_unit CategoryTheory.Adjunction.homEquiv_unit
#align category_theory.adjunction.hom_equiv_unit' CategoryTheory.Adjunction.homEquiv_unit
#align category_theory.adjunction.hom_equiv_counit CategoryTheory.Adjunction.homEquiv_counit
#align category_theory.adjunction.hom_equiv_counit' CategoryTheory.Adjunction.homEquiv_counit
infixl:15 " ⊣ " => Adjunction
noncomputable def Adjunction.ofIsLeftAdjoint (left : C ⥤ D) [left.IsLeftAdjoint] :
left ⊣ left.rightAdjoint :=
Functor.IsLeftAdjoint.exists_rightAdjoint.choose_spec.some
#align category_theory.adjunction.of_left_adjoint CategoryTheory.Adjunction.ofIsLeftAdjoint
noncomputable def Adjunction.ofIsRightAdjoint (right : C ⥤ D) [right.IsRightAdjoint] :
right.leftAdjoint ⊣ right :=
Functor.IsRightAdjoint.exists_leftAdjoint.choose_spec.some
#align category_theory.adjunction.of_right_adjoint CategoryTheory.Adjunction.ofIsRightAdjoint
namespace Adjunction
-- Porting note(#5171): `has_nonempty_instance` linter not ported yet
-- @[nolint has_nonempty_instance]
structure CoreHomEquiv (F : C ⥤ D) (G : D ⥤ C) where
homEquiv : ∀ X Y, (F.obj X ⟶ Y) ≃ (X ⟶ G.obj Y)
homEquiv_naturality_left_symm :
∀ {X' X Y} (f : X' ⟶ X) (g : X ⟶ G.obj Y),
(homEquiv X' Y).symm (f ≫ g) = F.map f ≫ (homEquiv X Y).symm g := by
aesop_cat
homEquiv_naturality_right :
∀ {X Y Y'} (f : F.obj X ⟶ Y) (g : Y ⟶ Y'),
(homEquiv X Y') (f ≫ g) = (homEquiv X Y) f ≫ G.map g := by
aesop_cat
#align category_theory.adjunction.core_hom_equiv CategoryTheory.Adjunction.CoreHomEquiv
#align category_theory.adjunction.core_hom_equiv.hom_equiv CategoryTheory.Adjunction.CoreHomEquiv.homEquiv
#align category_theory.adjunction.core_hom_equiv.hom_equiv' CategoryTheory.Adjunction.CoreHomEquiv.homEquiv
#align category_theory.adjunction.core_hom_equiv.hom_equiv_naturality_right CategoryTheory.Adjunction.CoreHomEquiv.homEquiv_naturality_right
#align category_theory.adjunction.core_hom_equiv.hom_equiv_naturality_right' CategoryTheory.Adjunction.CoreHomEquiv.homEquiv_naturality_right
#align category_theory.adjunction.core_hom_equiv.hom_equiv_naturality_left_symm CategoryTheory.Adjunction.CoreHomEquiv.homEquiv_naturality_left_symm
#align category_theory.adjunction.core_hom_equiv.hom_equiv_naturality_left_symm' CategoryTheory.Adjunction.CoreHomEquiv.homEquiv_naturality_left_symm
namespace CoreHomEquiv
-- Porting note: Workaround not needed in Lean 4.
-- restate_axiom homEquiv_naturality_left_symm'
-- restate_axiom homEquiv_naturality_right'
attribute [simp] homEquiv_naturality_left_symm homEquiv_naturality_right
variable {F : C ⥤ D} {G : D ⥤ C} (adj : CoreHomEquiv F G) {X' X : C} {Y Y' : D}
@[simp]
| Mathlib/CategoryTheory/Adjunction/Basic.lean | 318 | 320 | theorem homEquiv_naturality_left_aux (f : X' ⟶ X) (g : F.obj X ⟶ Y) :
(adj.homEquiv X' (F.obj X)) (F.map f) ≫ G.map g = f ≫ (adj.homEquiv X Y) g := by |
rw [← homEquiv_naturality_right, ← Equiv.eq_symm_apply]; simp
|
import Mathlib.Algebra.Order.CauSeq.BigOperators
import Mathlib.Data.Complex.Abs
import Mathlib.Data.Complex.BigOperators
import Mathlib.Data.Nat.Choose.Sum
#align_import data.complex.exponential from "leanprover-community/mathlib"@"a8b2226cfb0a79f5986492053fc49b1a0c6aeffb"
open CauSeq Finset IsAbsoluteValue
open scoped Classical ComplexConjugate
namespace Complex
variable (x y : ℂ)
@[simp]
theorem exp_zero : exp 0 = 1 := by
rw [exp]
refine lim_eq_of_equiv_const fun ε ε0 => ⟨1, fun j hj => ?_⟩
convert (config := .unfoldSameFun) ε0 -- Porting note: ε0 : ε > 0 but goal is _ < ε
cases' j with j j
· exact absurd hj (not_le_of_gt zero_lt_one)
· dsimp [exp']
induction' j with j ih
· dsimp [exp']; simp [show Nat.succ 0 = 1 from rfl]
· rw [← ih (by simp [Nat.succ_le_succ])]
simp only [sum_range_succ, pow_succ]
simp
#align complex.exp_zero Complex.exp_zero
theorem exp_add : exp (x + y) = exp x * exp y := by
have hj : ∀ j : ℕ, (∑ m ∈ range j, (x + y) ^ m / m.factorial) =
∑ i ∈ range j, ∑ k ∈ range (i + 1), x ^ k / k.factorial *
(y ^ (i - k) / (i - k).factorial) := by
intro j
refine Finset.sum_congr rfl fun m _ => ?_
rw [add_pow, div_eq_mul_inv, sum_mul]
refine Finset.sum_congr rfl fun I hi => ?_
have h₁ : (m.choose I : ℂ) ≠ 0 :=
Nat.cast_ne_zero.2 (pos_iff_ne_zero.1 (Nat.choose_pos (Nat.le_of_lt_succ (mem_range.1 hi))))
have h₂ := Nat.choose_mul_factorial_mul_factorial (Nat.le_of_lt_succ <| Finset.mem_range.1 hi)
rw [← h₂, Nat.cast_mul, Nat.cast_mul, mul_inv, mul_inv]
simp only [mul_left_comm (m.choose I : ℂ), mul_assoc, mul_left_comm (m.choose I : ℂ)⁻¹,
mul_comm (m.choose I : ℂ)]
rw [inv_mul_cancel h₁]
simp [div_eq_mul_inv, mul_comm, mul_assoc, mul_left_comm]
simp_rw [exp, exp', lim_mul_lim]
apply (lim_eq_lim_of_equiv _).symm
simp only [hj]
exact cauchy_product (isCauSeq_abs_exp x) (isCauSeq_exp y)
#align complex.exp_add Complex.exp_add
-- Porting note (#11445): new definition
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℂ) ℂ :=
{ toFun := fun z => exp (Multiplicative.toAdd z),
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℂ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℂ) expMonoidHom l
#align complex.exp_list_sum Complex.exp_list_sum
theorem exp_multiset_sum (s : Multiset ℂ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℂ) ℂ _ _ expMonoidHom s
#align complex.exp_multiset_sum Complex.exp_multiset_sum
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℂ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℂ) expMonoidHom f s
#align complex.exp_sum Complex.exp_sum
lemma exp_nsmul (x : ℂ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℂ) ℂ _ _ expMonoidHom _ _
theorem exp_nat_mul (x : ℂ) : ∀ n : ℕ, exp (n * x) = exp x ^ n
| 0 => by rw [Nat.cast_zero, zero_mul, exp_zero, pow_zero]
| Nat.succ n => by rw [pow_succ, Nat.cast_add_one, add_mul, exp_add, ← exp_nat_mul _ n, one_mul]
#align complex.exp_nat_mul Complex.exp_nat_mul
theorem exp_ne_zero : exp x ≠ 0 := fun h =>
zero_ne_one <| by rw [← exp_zero, ← add_neg_self x, exp_add, h]; simp
#align complex.exp_ne_zero Complex.exp_ne_zero
theorem exp_neg : exp (-x) = (exp x)⁻¹ := by
rw [← mul_right_inj' (exp_ne_zero x), ← exp_add]; simp [mul_inv_cancel (exp_ne_zero x)]
#align complex.exp_neg Complex.exp_neg
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
#align complex.exp_sub Complex.exp_sub
theorem exp_int_mul (z : ℂ) (n : ℤ) : Complex.exp (n * z) = Complex.exp z ^ n := by
cases n
· simp [exp_nat_mul]
· simp [exp_add, add_mul, pow_add, exp_neg, exp_nat_mul]
#align complex.exp_int_mul Complex.exp_int_mul
@[simp]
theorem exp_conj : exp (conj x) = conj (exp x) := by
dsimp [exp]
rw [← lim_conj]
refine congr_arg CauSeq.lim (CauSeq.ext fun _ => ?_)
dsimp [exp', Function.comp_def, cauSeqConj]
rw [map_sum (starRingEnd _)]
refine sum_congr rfl fun n _ => ?_
rw [map_div₀, map_pow, ← ofReal_natCast, conj_ofReal]
#align complex.exp_conj Complex.exp_conj
@[simp]
theorem ofReal_exp_ofReal_re (x : ℝ) : ((exp x).re : ℂ) = exp x :=
conj_eq_iff_re.1 <| by rw [← exp_conj, conj_ofReal]
#align complex.of_real_exp_of_real_re Complex.ofReal_exp_ofReal_re
@[simp, norm_cast]
theorem ofReal_exp (x : ℝ) : (Real.exp x : ℂ) = exp x :=
ofReal_exp_ofReal_re _
#align complex.of_real_exp Complex.ofReal_exp
@[simp]
theorem exp_ofReal_im (x : ℝ) : (exp x).im = 0 := by rw [← ofReal_exp_ofReal_re, ofReal_im]
#align complex.exp_of_real_im Complex.exp_ofReal_im
theorem exp_ofReal_re (x : ℝ) : (exp x).re = Real.exp x :=
rfl
#align complex.exp_of_real_re Complex.exp_ofReal_re
theorem two_sinh : 2 * sinh x = exp x - exp (-x) :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_sinh Complex.two_sinh
theorem two_cosh : 2 * cosh x = exp x + exp (-x) :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_cosh Complex.two_cosh
@[simp]
theorem sinh_zero : sinh 0 = 0 := by simp [sinh]
#align complex.sinh_zero Complex.sinh_zero
@[simp]
theorem sinh_neg : sinh (-x) = -sinh x := by simp [sinh, exp_neg, (neg_div _ _).symm, add_mul]
#align complex.sinh_neg Complex.sinh_neg
private theorem sinh_add_aux {a b c d : ℂ} :
(a - b) * (c + d) + (a + b) * (c - d) = 2 * (a * c - b * d) := by ring
theorem sinh_add : sinh (x + y) = sinh x * cosh y + cosh x * sinh y := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_sinh, exp_add, neg_add, exp_add, eq_comm, mul_add, ←
mul_assoc, two_sinh, mul_left_comm, two_sinh, ← mul_right_inj' (two_ne_zero' ℂ), mul_add,
mul_left_comm, two_cosh, ← mul_assoc, two_cosh]
exact sinh_add_aux
#align complex.sinh_add Complex.sinh_add
@[simp]
theorem cosh_zero : cosh 0 = 1 := by simp [cosh]
#align complex.cosh_zero Complex.cosh_zero
@[simp]
theorem cosh_neg : cosh (-x) = cosh x := by simp [add_comm, cosh, exp_neg]
#align complex.cosh_neg Complex.cosh_neg
private theorem cosh_add_aux {a b c d : ℂ} :
(a + b) * (c + d) + (a - b) * (c - d) = 2 * (a * c + b * d) := by ring
theorem cosh_add : cosh (x + y) = cosh x * cosh y + sinh x * sinh y := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_cosh, exp_add, neg_add, exp_add, eq_comm, mul_add, ←
mul_assoc, two_cosh, ← mul_assoc, two_sinh, ← mul_right_inj' (two_ne_zero' ℂ), mul_add,
mul_left_comm, two_cosh, mul_left_comm, two_sinh]
exact cosh_add_aux
#align complex.cosh_add Complex.cosh_add
theorem sinh_sub : sinh (x - y) = sinh x * cosh y - cosh x * sinh y := by
simp [sub_eq_add_neg, sinh_add, sinh_neg, cosh_neg]
#align complex.sinh_sub Complex.sinh_sub
theorem cosh_sub : cosh (x - y) = cosh x * cosh y - sinh x * sinh y := by
simp [sub_eq_add_neg, cosh_add, sinh_neg, cosh_neg]
#align complex.cosh_sub Complex.cosh_sub
theorem sinh_conj : sinh (conj x) = conj (sinh x) := by
rw [sinh, ← RingHom.map_neg, exp_conj, exp_conj, ← RingHom.map_sub, sinh, map_div₀]
-- Porting note: not nice
simp [← one_add_one_eq_two]
#align complex.sinh_conj Complex.sinh_conj
@[simp]
theorem ofReal_sinh_ofReal_re (x : ℝ) : ((sinh x).re : ℂ) = sinh x :=
conj_eq_iff_re.1 <| by rw [← sinh_conj, conj_ofReal]
#align complex.of_real_sinh_of_real_re Complex.ofReal_sinh_ofReal_re
@[simp, norm_cast]
theorem ofReal_sinh (x : ℝ) : (Real.sinh x : ℂ) = sinh x :=
ofReal_sinh_ofReal_re _
#align complex.of_real_sinh Complex.ofReal_sinh
@[simp]
theorem sinh_ofReal_im (x : ℝ) : (sinh x).im = 0 := by rw [← ofReal_sinh_ofReal_re, ofReal_im]
#align complex.sinh_of_real_im Complex.sinh_ofReal_im
theorem sinh_ofReal_re (x : ℝ) : (sinh x).re = Real.sinh x :=
rfl
#align complex.sinh_of_real_re Complex.sinh_ofReal_re
theorem cosh_conj : cosh (conj x) = conj (cosh x) := by
rw [cosh, ← RingHom.map_neg, exp_conj, exp_conj, ← RingHom.map_add, cosh, map_div₀]
-- Porting note: not nice
simp [← one_add_one_eq_two]
#align complex.cosh_conj Complex.cosh_conj
theorem ofReal_cosh_ofReal_re (x : ℝ) : ((cosh x).re : ℂ) = cosh x :=
conj_eq_iff_re.1 <| by rw [← cosh_conj, conj_ofReal]
#align complex.of_real_cosh_of_real_re Complex.ofReal_cosh_ofReal_re
@[simp, norm_cast]
theorem ofReal_cosh (x : ℝ) : (Real.cosh x : ℂ) = cosh x :=
ofReal_cosh_ofReal_re _
#align complex.of_real_cosh Complex.ofReal_cosh
@[simp]
theorem cosh_ofReal_im (x : ℝ) : (cosh x).im = 0 := by rw [← ofReal_cosh_ofReal_re, ofReal_im]
#align complex.cosh_of_real_im Complex.cosh_ofReal_im
@[simp]
theorem cosh_ofReal_re (x : ℝ) : (cosh x).re = Real.cosh x :=
rfl
#align complex.cosh_of_real_re Complex.cosh_ofReal_re
theorem tanh_eq_sinh_div_cosh : tanh x = sinh x / cosh x :=
rfl
#align complex.tanh_eq_sinh_div_cosh Complex.tanh_eq_sinh_div_cosh
@[simp]
theorem tanh_zero : tanh 0 = 0 := by simp [tanh]
#align complex.tanh_zero Complex.tanh_zero
@[simp]
theorem tanh_neg : tanh (-x) = -tanh x := by simp [tanh, neg_div]
#align complex.tanh_neg Complex.tanh_neg
theorem tanh_conj : tanh (conj x) = conj (tanh x) := by
rw [tanh, sinh_conj, cosh_conj, ← map_div₀, tanh]
#align complex.tanh_conj Complex.tanh_conj
@[simp]
theorem ofReal_tanh_ofReal_re (x : ℝ) : ((tanh x).re : ℂ) = tanh x :=
conj_eq_iff_re.1 <| by rw [← tanh_conj, conj_ofReal]
#align complex.of_real_tanh_of_real_re Complex.ofReal_tanh_ofReal_re
@[simp, norm_cast]
theorem ofReal_tanh (x : ℝ) : (Real.tanh x : ℂ) = tanh x :=
ofReal_tanh_ofReal_re _
#align complex.of_real_tanh Complex.ofReal_tanh
@[simp]
theorem tanh_ofReal_im (x : ℝ) : (tanh x).im = 0 := by rw [← ofReal_tanh_ofReal_re, ofReal_im]
#align complex.tanh_of_real_im Complex.tanh_ofReal_im
theorem tanh_ofReal_re (x : ℝ) : (tanh x).re = Real.tanh x :=
rfl
#align complex.tanh_of_real_re Complex.tanh_ofReal_re
@[simp]
theorem cosh_add_sinh : cosh x + sinh x = exp x := by
rw [← mul_right_inj' (two_ne_zero' ℂ), mul_add, two_cosh, two_sinh, add_add_sub_cancel, two_mul]
#align complex.cosh_add_sinh Complex.cosh_add_sinh
@[simp]
theorem sinh_add_cosh : sinh x + cosh x = exp x := by rw [add_comm, cosh_add_sinh]
#align complex.sinh_add_cosh Complex.sinh_add_cosh
@[simp]
theorem exp_sub_cosh : exp x - cosh x = sinh x :=
sub_eq_iff_eq_add.2 (sinh_add_cosh x).symm
#align complex.exp_sub_cosh Complex.exp_sub_cosh
@[simp]
theorem exp_sub_sinh : exp x - sinh x = cosh x :=
sub_eq_iff_eq_add.2 (cosh_add_sinh x).symm
#align complex.exp_sub_sinh Complex.exp_sub_sinh
@[simp]
theorem cosh_sub_sinh : cosh x - sinh x = exp (-x) := by
rw [← mul_right_inj' (two_ne_zero' ℂ), mul_sub, two_cosh, two_sinh, add_sub_sub_cancel, two_mul]
#align complex.cosh_sub_sinh Complex.cosh_sub_sinh
@[simp]
theorem sinh_sub_cosh : sinh x - cosh x = -exp (-x) := by rw [← neg_sub, cosh_sub_sinh]
#align complex.sinh_sub_cosh Complex.sinh_sub_cosh
@[simp]
theorem cosh_sq_sub_sinh_sq : cosh x ^ 2 - sinh x ^ 2 = 1 := by
rw [sq_sub_sq, cosh_add_sinh, cosh_sub_sinh, ← exp_add, add_neg_self, exp_zero]
#align complex.cosh_sq_sub_sinh_sq Complex.cosh_sq_sub_sinh_sq
theorem cosh_sq : cosh x ^ 2 = sinh x ^ 2 + 1 := by
rw [← cosh_sq_sub_sinh_sq x]
ring
#align complex.cosh_sq Complex.cosh_sq
theorem sinh_sq : sinh x ^ 2 = cosh x ^ 2 - 1 := by
rw [← cosh_sq_sub_sinh_sq x]
ring
#align complex.sinh_sq Complex.sinh_sq
theorem cosh_two_mul : cosh (2 * x) = cosh x ^ 2 + sinh x ^ 2 := by rw [two_mul, cosh_add, sq, sq]
#align complex.cosh_two_mul Complex.cosh_two_mul
theorem sinh_two_mul : sinh (2 * x) = 2 * sinh x * cosh x := by
rw [two_mul, sinh_add]
ring
#align complex.sinh_two_mul Complex.sinh_two_mul
theorem cosh_three_mul : cosh (3 * x) = 4 * cosh x ^ 3 - 3 * cosh x := by
have h1 : x + 2 * x = 3 * x := by ring
rw [← h1, cosh_add x (2 * x)]
simp only [cosh_two_mul, sinh_two_mul]
have h2 : sinh x * (2 * sinh x * cosh x) = 2 * cosh x * sinh x ^ 2 := by ring
rw [h2, sinh_sq]
ring
#align complex.cosh_three_mul Complex.cosh_three_mul
theorem sinh_three_mul : sinh (3 * x) = 4 * sinh x ^ 3 + 3 * sinh x := by
have h1 : x + 2 * x = 3 * x := by ring
rw [← h1, sinh_add x (2 * x)]
simp only [cosh_two_mul, sinh_two_mul]
have h2 : cosh x * (2 * sinh x * cosh x) = 2 * sinh x * cosh x ^ 2 := by ring
rw [h2, cosh_sq]
ring
#align complex.sinh_three_mul Complex.sinh_three_mul
@[simp]
theorem sin_zero : sin 0 = 0 := by simp [sin]
#align complex.sin_zero Complex.sin_zero
@[simp]
theorem sin_neg : sin (-x) = -sin x := by
simp [sin, sub_eq_add_neg, exp_neg, (neg_div _ _).symm, add_mul]
#align complex.sin_neg Complex.sin_neg
theorem two_sin : 2 * sin x = (exp (-x * I) - exp (x * I)) * I :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_sin Complex.two_sin
theorem two_cos : 2 * cos x = exp (x * I) + exp (-x * I) :=
mul_div_cancel₀ _ two_ne_zero
#align complex.two_cos Complex.two_cos
theorem sinh_mul_I : sinh (x * I) = sin x * I := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_sinh, ← mul_assoc, two_sin, mul_assoc, I_mul_I,
mul_neg_one, neg_sub, neg_mul_eq_neg_mul]
set_option linter.uppercaseLean3 false in
#align complex.sinh_mul_I Complex.sinh_mul_I
theorem cosh_mul_I : cosh (x * I) = cos x := by
rw [← mul_right_inj' (two_ne_zero' ℂ), two_cosh, two_cos, neg_mul_eq_neg_mul]
set_option linter.uppercaseLean3 false in
#align complex.cosh_mul_I Complex.cosh_mul_I
theorem tanh_mul_I : tanh (x * I) = tan x * I := by
rw [tanh_eq_sinh_div_cosh, cosh_mul_I, sinh_mul_I, mul_div_right_comm, tan]
set_option linter.uppercaseLean3 false in
#align complex.tanh_mul_I Complex.tanh_mul_I
theorem cos_mul_I : cos (x * I) = cosh x := by rw [← cosh_mul_I]; ring_nf; simp
set_option linter.uppercaseLean3 false in
#align complex.cos_mul_I Complex.cos_mul_I
theorem sin_mul_I : sin (x * I) = sinh x * I := by
have h : I * sin (x * I) = -sinh x := by
rw [mul_comm, ← sinh_mul_I]
ring_nf
simp
rw [← neg_neg (sinh x), ← h]
apply Complex.ext <;> simp
set_option linter.uppercaseLean3 false in
#align complex.sin_mul_I Complex.sin_mul_I
theorem tan_mul_I : tan (x * I) = tanh x * I := by
rw [tan, sin_mul_I, cos_mul_I, mul_div_right_comm, tanh_eq_sinh_div_cosh]
set_option linter.uppercaseLean3 false in
#align complex.tan_mul_I Complex.tan_mul_I
theorem sin_add : sin (x + y) = sin x * cos y + cos x * sin y := by
rw [← mul_left_inj' I_ne_zero, ← sinh_mul_I, add_mul, add_mul, mul_right_comm, ← sinh_mul_I,
mul_assoc, ← sinh_mul_I, ← cosh_mul_I, ← cosh_mul_I, sinh_add]
#align complex.sin_add Complex.sin_add
@[simp]
theorem cos_zero : cos 0 = 1 := by simp [cos]
#align complex.cos_zero Complex.cos_zero
@[simp]
theorem cos_neg : cos (-x) = cos x := by simp [cos, sub_eq_add_neg, exp_neg, add_comm]
#align complex.cos_neg Complex.cos_neg
private theorem cos_add_aux {a b c d : ℂ} :
(a + b) * (c + d) - (b - a) * (d - c) * -1 = 2 * (a * c + b * d) := by ring
theorem cos_add : cos (x + y) = cos x * cos y - sin x * sin y := by
rw [← cosh_mul_I, add_mul, cosh_add, cosh_mul_I, cosh_mul_I, sinh_mul_I, sinh_mul_I,
mul_mul_mul_comm, I_mul_I, mul_neg_one, sub_eq_add_neg]
#align complex.cos_add Complex.cos_add
theorem sin_sub : sin (x - y) = sin x * cos y - cos x * sin y := by
simp [sub_eq_add_neg, sin_add, sin_neg, cos_neg]
#align complex.sin_sub Complex.sin_sub
theorem cos_sub : cos (x - y) = cos x * cos y + sin x * sin y := by
simp [sub_eq_add_neg, cos_add, sin_neg, cos_neg]
#align complex.cos_sub Complex.cos_sub
theorem sin_add_mul_I (x y : ℂ) : sin (x + y * I) = sin x * cosh y + cos x * sinh y * I := by
rw [sin_add, cos_mul_I, sin_mul_I, mul_assoc]
set_option linter.uppercaseLean3 false in
#align complex.sin_add_mul_I Complex.sin_add_mul_I
theorem sin_eq (z : ℂ) : sin z = sin z.re * cosh z.im + cos z.re * sinh z.im * I := by
convert sin_add_mul_I z.re z.im; exact (re_add_im z).symm
#align complex.sin_eq Complex.sin_eq
theorem cos_add_mul_I (x y : ℂ) : cos (x + y * I) = cos x * cosh y - sin x * sinh y * I := by
rw [cos_add, cos_mul_I, sin_mul_I, mul_assoc]
set_option linter.uppercaseLean3 false in
#align complex.cos_add_mul_I Complex.cos_add_mul_I
theorem cos_eq (z : ℂ) : cos z = cos z.re * cosh z.im - sin z.re * sinh z.im * I := by
convert cos_add_mul_I z.re z.im; exact (re_add_im z).symm
#align complex.cos_eq Complex.cos_eq
theorem sin_sub_sin : sin x - sin y = 2 * sin ((x - y) / 2) * cos ((x + y) / 2) := by
have s1 := sin_add ((x + y) / 2) ((x - y) / 2)
have s2 := sin_sub ((x + y) / 2) ((x - y) / 2)
rw [div_add_div_same, add_sub, add_right_comm, add_sub_cancel_right, half_add_self] at s1
rw [div_sub_div_same, ← sub_add, add_sub_cancel_left, half_add_self] at s2
rw [s1, s2]
ring
#align complex.sin_sub_sin Complex.sin_sub_sin
theorem cos_sub_cos : cos x - cos y = -2 * sin ((x + y) / 2) * sin ((x - y) / 2) := by
have s1 := cos_add ((x + y) / 2) ((x - y) / 2)
have s2 := cos_sub ((x + y) / 2) ((x - y) / 2)
rw [div_add_div_same, add_sub, add_right_comm, add_sub_cancel_right, half_add_self] at s1
rw [div_sub_div_same, ← sub_add, add_sub_cancel_left, half_add_self] at s2
rw [s1, s2]
ring
#align complex.cos_sub_cos Complex.cos_sub_cos
theorem sin_add_sin : sin x + sin y = 2 * sin ((x + y) / 2) * cos ((x - y) / 2) := by
simpa using sin_sub_sin x (-y)
theorem cos_add_cos : cos x + cos y = 2 * cos ((x + y) / 2) * cos ((x - y) / 2) := by
calc
cos x + cos y = cos ((x + y) / 2 + (x - y) / 2) + cos ((x + y) / 2 - (x - y) / 2) := ?_
_ =
cos ((x + y) / 2) * cos ((x - y) / 2) - sin ((x + y) / 2) * sin ((x - y) / 2) +
(cos ((x + y) / 2) * cos ((x - y) / 2) + sin ((x + y) / 2) * sin ((x - y) / 2)) :=
?_
_ = 2 * cos ((x + y) / 2) * cos ((x - y) / 2) := ?_
· congr <;> field_simp
· rw [cos_add, cos_sub]
ring
#align complex.cos_add_cos Complex.cos_add_cos
theorem sin_conj : sin (conj x) = conj (sin x) := by
rw [← mul_left_inj' I_ne_zero, ← sinh_mul_I, ← conj_neg_I, ← RingHom.map_mul, ← RingHom.map_mul,
sinh_conj, mul_neg, sinh_neg, sinh_mul_I, mul_neg]
#align complex.sin_conj Complex.sin_conj
@[simp]
theorem ofReal_sin_ofReal_re (x : ℝ) : ((sin x).re : ℂ) = sin x :=
conj_eq_iff_re.1 <| by rw [← sin_conj, conj_ofReal]
#align complex.of_real_sin_of_real_re Complex.ofReal_sin_ofReal_re
@[simp, norm_cast]
theorem ofReal_sin (x : ℝ) : (Real.sin x : ℂ) = sin x :=
ofReal_sin_ofReal_re _
#align complex.of_real_sin Complex.ofReal_sin
@[simp]
theorem sin_ofReal_im (x : ℝ) : (sin x).im = 0 := by rw [← ofReal_sin_ofReal_re, ofReal_im]
#align complex.sin_of_real_im Complex.sin_ofReal_im
theorem sin_ofReal_re (x : ℝ) : (sin x).re = Real.sin x :=
rfl
#align complex.sin_of_real_re Complex.sin_ofReal_re
theorem cos_conj : cos (conj x) = conj (cos x) := by
rw [← cosh_mul_I, ← conj_neg_I, ← RingHom.map_mul, ← cosh_mul_I, cosh_conj, mul_neg, cosh_neg]
#align complex.cos_conj Complex.cos_conj
@[simp]
theorem ofReal_cos_ofReal_re (x : ℝ) : ((cos x).re : ℂ) = cos x :=
conj_eq_iff_re.1 <| by rw [← cos_conj, conj_ofReal]
#align complex.of_real_cos_of_real_re Complex.ofReal_cos_ofReal_re
@[simp, norm_cast]
theorem ofReal_cos (x : ℝ) : (Real.cos x : ℂ) = cos x :=
ofReal_cos_ofReal_re _
#align complex.of_real_cos Complex.ofReal_cos
@[simp]
theorem cos_ofReal_im (x : ℝ) : (cos x).im = 0 := by rw [← ofReal_cos_ofReal_re, ofReal_im]
#align complex.cos_of_real_im Complex.cos_ofReal_im
theorem cos_ofReal_re (x : ℝ) : (cos x).re = Real.cos x :=
rfl
#align complex.cos_of_real_re Complex.cos_ofReal_re
@[simp]
theorem tan_zero : tan 0 = 0 := by simp [tan]
#align complex.tan_zero Complex.tan_zero
theorem tan_eq_sin_div_cos : tan x = sin x / cos x :=
rfl
#align complex.tan_eq_sin_div_cos Complex.tan_eq_sin_div_cos
theorem tan_mul_cos {x : ℂ} (hx : cos x ≠ 0) : tan x * cos x = sin x := by
rw [tan_eq_sin_div_cos, div_mul_cancel₀ _ hx]
#align complex.tan_mul_cos Complex.tan_mul_cos
@[simp]
theorem tan_neg : tan (-x) = -tan x := by simp [tan, neg_div]
#align complex.tan_neg Complex.tan_neg
theorem tan_conj : tan (conj x) = conj (tan x) := by rw [tan, sin_conj, cos_conj, ← map_div₀, tan]
#align complex.tan_conj Complex.tan_conj
@[simp]
theorem ofReal_tan_ofReal_re (x : ℝ) : ((tan x).re : ℂ) = tan x :=
conj_eq_iff_re.1 <| by rw [← tan_conj, conj_ofReal]
#align complex.of_real_tan_of_real_re Complex.ofReal_tan_ofReal_re
@[simp, norm_cast]
theorem ofReal_tan (x : ℝ) : (Real.tan x : ℂ) = tan x :=
ofReal_tan_ofReal_re _
#align complex.of_real_tan Complex.ofReal_tan
@[simp]
| Mathlib/Data/Complex/Exponential.lean | 693 | 693 | theorem tan_ofReal_im (x : ℝ) : (tan x).im = 0 := by | rw [← ofReal_tan_ofReal_re, ofReal_im]
|
import Mathlib.Analysis.NormedSpace.AffineIsometry
import Mathlib.Topology.Algebra.ContinuousAffineMap
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
#align_import analysis.normed_space.continuous_affine_map from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
namespace ContinuousAffineMap
variable {𝕜 R V W W₂ P Q Q₂ : Type*}
variable [NormedAddCommGroup V] [MetricSpace P] [NormedAddTorsor V P]
variable [NormedAddCommGroup W] [MetricSpace Q] [NormedAddTorsor W Q]
variable [NormedAddCommGroup W₂] [MetricSpace Q₂] [NormedAddTorsor W₂ Q₂]
variable [NormedField R] [NormedSpace R V] [NormedSpace R W] [NormedSpace R W₂]
variable [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 V] [NormedSpace 𝕜 W] [NormedSpace 𝕜 W₂]
def contLinear (f : P →ᴬ[R] Q) : V →L[R] W :=
{ f.linear with
toFun := f.linear
cont := by rw [AffineMap.continuous_linear_iff]; exact f.cont }
#align continuous_affine_map.cont_linear ContinuousAffineMap.contLinear
@[simp]
theorem coe_contLinear (f : P →ᴬ[R] Q) : (f.contLinear : V → W) = f.linear :=
rfl
#align continuous_affine_map.coe_cont_linear ContinuousAffineMap.coe_contLinear
@[simp]
theorem coe_contLinear_eq_linear (f : P →ᴬ[R] Q) :
(f.contLinear : V →ₗ[R] W) = (f : P →ᵃ[R] Q).linear := by ext; rfl
#align continuous_affine_map.coe_cont_linear_eq_linear ContinuousAffineMap.coe_contLinear_eq_linear
@[simp]
theorem coe_mk_const_linear_eq_linear (f : P →ᵃ[R] Q) (h) :
((⟨f, h⟩ : P →ᴬ[R] Q).contLinear : V → W) = f.linear :=
rfl
#align continuous_affine_map.coe_mk_const_linear_eq_linear ContinuousAffineMap.coe_mk_const_linear_eq_linear
theorem coe_linear_eq_coe_contLinear (f : P →ᴬ[R] Q) :
((f : P →ᵃ[R] Q).linear : V → W) = (⇑f.contLinear : V → W) :=
rfl
#align continuous_affine_map.coe_linear_eq_coe_cont_linear ContinuousAffineMap.coe_linear_eq_coe_contLinear
@[simp]
theorem comp_contLinear (f : P →ᴬ[R] Q) (g : Q →ᴬ[R] Q₂) :
(g.comp f).contLinear = g.contLinear.comp f.contLinear :=
rfl
#align continuous_affine_map.comp_cont_linear ContinuousAffineMap.comp_contLinear
@[simp]
theorem map_vadd (f : P →ᴬ[R] Q) (p : P) (v : V) : f (v +ᵥ p) = f.contLinear v +ᵥ f p :=
f.map_vadd' p v
#align continuous_affine_map.map_vadd ContinuousAffineMap.map_vadd
@[simp]
theorem contLinear_map_vsub (f : P →ᴬ[R] Q) (p₁ p₂ : P) : f.contLinear (p₁ -ᵥ p₂) = f p₁ -ᵥ f p₂ :=
f.toAffineMap.linearMap_vsub p₁ p₂
#align continuous_affine_map.cont_linear_map_vsub ContinuousAffineMap.contLinear_map_vsub
@[simp]
theorem const_contLinear (q : Q) : (const R P q).contLinear = 0 :=
rfl
#align continuous_affine_map.const_cont_linear ContinuousAffineMap.const_contLinear
theorem contLinear_eq_zero_iff_exists_const (f : P →ᴬ[R] Q) :
f.contLinear = 0 ↔ ∃ q, f = const R P q := by
have h₁ : f.contLinear = 0 ↔ (f : P →ᵃ[R] Q).linear = 0 := by
refine ⟨fun h => ?_, fun h => ?_⟩ <;> ext
· rw [← coe_contLinear_eq_linear, h]; rfl
· rw [← coe_linear_eq_coe_contLinear, h]; rfl
have h₂ : ∀ q : Q, f = const R P q ↔ (f : P →ᵃ[R] Q) = AffineMap.const R P q := by
intro q
refine ⟨fun h => ?_, fun h => ?_⟩ <;> ext
· rw [h]; rfl
· rw [← coe_to_affineMap, h]; rfl
simp_rw [h₁, h₂]
exact (f : P →ᵃ[R] Q).linear_eq_zero_iff_exists_const
#align continuous_affine_map.cont_linear_eq_zero_iff_exists_const ContinuousAffineMap.contLinear_eq_zero_iff_exists_const
@[simp]
theorem to_affine_map_contLinear (f : V →L[R] W) : f.toContinuousAffineMap.contLinear = f := by
ext
rfl
#align continuous_affine_map.to_affine_map_cont_linear ContinuousAffineMap.to_affine_map_contLinear
@[simp]
theorem zero_contLinear : (0 : P →ᴬ[R] W).contLinear = 0 :=
rfl
#align continuous_affine_map.zero_cont_linear ContinuousAffineMap.zero_contLinear
@[simp]
theorem add_contLinear (f g : P →ᴬ[R] W) : (f + g).contLinear = f.contLinear + g.contLinear :=
rfl
#align continuous_affine_map.add_cont_linear ContinuousAffineMap.add_contLinear
@[simp]
theorem sub_contLinear (f g : P →ᴬ[R] W) : (f - g).contLinear = f.contLinear - g.contLinear :=
rfl
#align continuous_affine_map.sub_cont_linear ContinuousAffineMap.sub_contLinear
@[simp]
theorem neg_contLinear (f : P →ᴬ[R] W) : (-f).contLinear = -f.contLinear :=
rfl
#align continuous_affine_map.neg_cont_linear ContinuousAffineMap.neg_contLinear
@[simp]
theorem smul_contLinear (t : R) (f : P →ᴬ[R] W) : (t • f).contLinear = t • f.contLinear :=
rfl
#align continuous_affine_map.smul_cont_linear ContinuousAffineMap.smul_contLinear
theorem decomp (f : V →ᴬ[R] W) : (f : V → W) = f.contLinear + Function.const V (f 0) := by
rcases f with ⟨f, h⟩
rw [coe_mk_const_linear_eq_linear, coe_mk, f.decomp, Pi.add_apply, LinearMap.map_zero, zero_add,
← Function.const_def]
#align continuous_affine_map.decomp ContinuousAffineMap.decomp
section NormedSpaceStructure
variable (f : V →ᴬ[𝕜] W)
noncomputable instance hasNorm : Norm (V →ᴬ[𝕜] W) :=
⟨fun f => max ‖f 0‖ ‖f.contLinear‖⟩
#align continuous_affine_map.has_norm ContinuousAffineMap.hasNorm
theorem norm_def : ‖f‖ = max ‖f 0‖ ‖f.contLinear‖ :=
rfl
#align continuous_affine_map.norm_def ContinuousAffineMap.norm_def
theorem norm_contLinear_le : ‖f.contLinear‖ ≤ ‖f‖ :=
le_max_right _ _
#align continuous_affine_map.norm_cont_linear_le ContinuousAffineMap.norm_contLinear_le
theorem norm_image_zero_le : ‖f 0‖ ≤ ‖f‖ :=
le_max_left _ _
#align continuous_affine_map.norm_image_zero_le ContinuousAffineMap.norm_image_zero_le
@[simp]
theorem norm_eq (h : f 0 = 0) : ‖f‖ = ‖f.contLinear‖ :=
calc
‖f‖ = max ‖f 0‖ ‖f.contLinear‖ := by rw [norm_def]
_ = max 0 ‖f.contLinear‖ := by rw [h, norm_zero]
_ = ‖f.contLinear‖ := max_eq_right (norm_nonneg _)
#align continuous_affine_map.norm_eq ContinuousAffineMap.norm_eq
noncomputable instance : NormedAddCommGroup (V →ᴬ[𝕜] W) :=
AddGroupNorm.toNormedAddCommGroup
{ toFun := fun f => max ‖f 0‖ ‖f.contLinear‖
map_zero' := by simp [(ContinuousAffineMap.zero_apply)]
neg' := fun f => by
simp [(ContinuousAffineMap.neg_apply)]
add_le' := fun f g => by
simp only [coe_add, max_le_iff, Pi.add_apply, add_contLinear]
exact
⟨(norm_add_le _ _).trans (add_le_add (le_max_left _ _) (le_max_left _ _)),
(norm_add_le _ _).trans (add_le_add (le_max_right _ _) (le_max_right _ _))⟩
eq_zero_of_map_eq_zero' := fun f h₀ => by
rcases max_eq_iff.mp h₀ with (⟨h₁, h₂⟩ | ⟨h₁, h₂⟩) <;> rw [h₁] at h₂
· rw [norm_le_zero_iff, contLinear_eq_zero_iff_exists_const] at h₂
obtain ⟨q, rfl⟩ := h₂
simp only [norm_eq_zero, coe_const, Function.const_apply] at h₁
rw [h₁]
rfl
· rw [norm_eq_zero', contLinear_eq_zero_iff_exists_const] at h₁
obtain ⟨q, rfl⟩ := h₁
simp only [norm_le_zero_iff, coe_const, Function.const_apply] at h₂
rw [h₂]
rfl }
instance : NormedSpace 𝕜 (V →ᴬ[𝕜] W) where
norm_smul_le t f := by
simp only [SMul.smul, norm_def, smul_contLinear, norm_smul]
-- Porting note: previously all these rewrites were in the `simp only`,
-- but now they don't fire.
-- (in fact, `norm_smul` fires, but only once rather than twice!)
have : NormedAddCommGroup (V →ᴬ[𝕜] W) := inferInstance -- this is necessary for `norm_smul`
rw [coe_smul, Pi.smul_apply, norm_smul, norm_smul _ (f.contLinear),
← mul_max_of_nonneg _ _ (norm_nonneg t)]
| Mathlib/Analysis/NormedSpace/ContinuousAffineMap.lean | 220 | 236 | theorem norm_comp_le (g : W₂ →ᴬ[𝕜] V) : ‖f.comp g‖ ≤ ‖f‖ * ‖g‖ + ‖f 0‖ := by |
rw [norm_def, max_le_iff]
constructor
· calc
‖f.comp g 0‖ = ‖f (g 0)‖ := by simp
_ = ‖f.contLinear (g 0) + f 0‖ := by rw [f.decomp]; simp
_ ≤ ‖f.contLinear‖ * ‖g 0‖ + ‖f 0‖ :=
((norm_add_le _ _).trans (add_le_add_right (f.contLinear.le_opNorm _) _))
_ ≤ ‖f‖ * ‖g‖ + ‖f 0‖ :=
add_le_add_right
(mul_le_mul f.norm_contLinear_le g.norm_image_zero_le (norm_nonneg _) (norm_nonneg _)) _
· calc
‖(f.comp g).contLinear‖ ≤ ‖f.contLinear‖ * ‖g.contLinear‖ :=
(g.comp_contLinear f).symm ▸ f.contLinear.opNorm_comp_le _
_ ≤ ‖f‖ * ‖g‖ :=
(mul_le_mul f.norm_contLinear_le g.norm_contLinear_le (norm_nonneg _) (norm_nonneg _))
_ ≤ ‖f‖ * ‖g‖ + ‖f 0‖ := by rw [le_add_iff_nonneg_right]; apply norm_nonneg
|
import Mathlib.Data.Matrix.Basic
import Mathlib.LinearAlgebra.Matrix.Trace
#align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794"
variable {l m n : Type*}
variable {R α : Type*}
namespace Matrix
open Matrix
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [Semiring α]
def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' =>
if i = i' ∧ j = j' then a else 0
#align matrix.std_basis_matrix Matrix.stdBasisMatrix
@[simp]
theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) :
r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by
unfold stdBasisMatrix
ext
simp [smul_ite]
#align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix
@[simp]
theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by
unfold stdBasisMatrix
ext
simp
#align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero
theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) :
stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by
unfold stdBasisMatrix; ext
split_ifs with h <;> simp [h]
#align matrix.std_basis_matrix_add Matrix.stdBasisMatrix_add
theorem mulVec_stdBasisMatrix [Fintype m] (i : n) (j : m) (c : α) (x : m → α) :
mulVec (stdBasisMatrix i j c) x = Function.update (0 : n → α) i (c * x j) := by
ext i'
simp [stdBasisMatrix, mulVec, dotProduct]
rcases eq_or_ne i i' with rfl|h
· simp
simp [h, h.symm]
theorem matrix_eq_sum_std_basis [Fintype m] [Fintype n] (x : Matrix m n α) :
x = ∑ i : m, ∑ j : n, stdBasisMatrix i j (x i j) := by
ext i j; symm
iterate 2 rw [Finset.sum_apply]
-- Porting note: was `convert`
refine (Fintype.sum_eq_single i ?_).trans ?_; swap
· -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp
· intro j' hj'
-- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp [hj']
#align matrix.matrix_eq_sum_std_basis Matrix.matrix_eq_sum_std_basis
-- TODO: tie this up with the `Basis` machinery of linear algebra
-- this is not completely trivial because we are indexing by two types, instead of one
-- TODO: add `std_basis_vec`
theorem std_basis_eq_basis_mul_basis (i : m) (j : n) :
stdBasisMatrix i j (1 : α) =
vecMulVec (fun i' => ite (i = i') 1 0) fun j' => ite (j = j') 1 0 := by
ext i' j'
-- Porting note: was `norm_num [std_basis_matrix, vec_mul_vec]` though there are no numerals
-- involved.
simp only [stdBasisMatrix, vecMulVec, mul_ite, mul_one, mul_zero, of_apply]
-- Porting note: added next line
simp_rw [@and_comm (i = i')]
exact ite_and _ _ _ _
#align matrix.std_basis_eq_basis_mul_basis Matrix.std_basis_eq_basis_mul_basis
-- todo: the old proof used fintypes, I don't know `Finsupp` but this feels generalizable
@[elab_as_elim]
protected theorem induction_on' [Finite m] [Finite n] {P : Matrix m n α → Prop} (M : Matrix m n α)
(h_zero : P 0) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ (i : m) (j : n) (x : α), P (stdBasisMatrix i j x)) : P M := by
cases nonempty_fintype m; cases nonempty_fintype n
rw [matrix_eq_sum_std_basis M, ← Finset.sum_product']
apply Finset.sum_induction _ _ h_add h_zero
· intros
apply h_std_basis
#align matrix.induction_on' Matrix.induction_on'
@[elab_as_elim]
protected theorem induction_on [Finite m] [Finite n] [Nonempty m] [Nonempty n]
{P : Matrix m n α → Prop} (M : Matrix m n α) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ i j x, P (stdBasisMatrix i j x)) : P M :=
Matrix.induction_on' M
(by
inhabit m
inhabit n
simpa using h_std_basis default default 0)
h_add h_std_basis
#align matrix.induction_on Matrix.induction_on
namespace StdBasisMatrix
section
variable (i : m) (j : n) (c : α) (i' : m) (j' : n)
@[simp]
theorem apply_same : stdBasisMatrix i j c i j = c :=
if_pos (And.intro rfl rfl)
#align matrix.std_basis_matrix.apply_same Matrix.StdBasisMatrix.apply_same
@[simp]
theorem apply_of_ne (h : ¬(i = i' ∧ j = j')) : stdBasisMatrix i j c i' j' = 0 := by
simp only [stdBasisMatrix, and_imp, ite_eq_right_iff]
tauto
#align matrix.std_basis_matrix.apply_of_ne Matrix.StdBasisMatrix.apply_of_ne
@[simp]
theorem apply_of_row_ne {i i' : m} (hi : i ≠ i') (j j' : n) (a : α) :
stdBasisMatrix i j a i' j' = 0 := by simp [hi]
#align matrix.std_basis_matrix.apply_of_row_ne Matrix.StdBasisMatrix.apply_of_row_ne
@[simp]
theorem apply_of_col_ne (i i' : m) {j j' : n} (hj : j ≠ j') (a : α) :
stdBasisMatrix i j a i' j' = 0 := by simp [hj]
#align matrix.std_basis_matrix.apply_of_col_ne Matrix.StdBasisMatrix.apply_of_col_ne
end
section
variable (i j : n) (c : α) (i' j' : n)
@[simp]
theorem diag_zero (h : j ≠ i) : diag (stdBasisMatrix i j c) = 0 :=
funext fun _ => if_neg fun ⟨e₁, e₂⟩ => h (e₂.trans e₁.symm)
#align matrix.std_basis_matrix.diag_zero Matrix.StdBasisMatrix.diag_zero
@[simp]
theorem diag_same : diag (stdBasisMatrix i i c) = Pi.single i c := by
ext j
by_cases hij : i = j <;> (try rw [hij]) <;> simp [hij]
#align matrix.std_basis_matrix.diag_same Matrix.StdBasisMatrix.diag_same
variable [Fintype n]
@[simp]
theorem trace_zero (h : j ≠ i) : trace (stdBasisMatrix i j c) = 0 := by
-- Porting note: added `-diag_apply`
simp [trace, -diag_apply, h]
#align matrix.std_basis_matrix.trace_zero Matrix.StdBasisMatrix.trace_zero
@[simp]
theorem trace_eq : trace (stdBasisMatrix i i c) = c := by
-- Porting note: added `-diag_apply`
simp [trace, -diag_apply]
#align matrix.std_basis_matrix.trace_eq Matrix.StdBasisMatrix.trace_eq
@[simp]
theorem mul_left_apply_same (b : n) (M : Matrix n n α) :
(stdBasisMatrix i j c * M) i b = c * M j b := by simp [mul_apply, stdBasisMatrix]
#align matrix.std_basis_matrix.mul_left_apply_same Matrix.StdBasisMatrix.mul_left_apply_same
@[simp]
theorem mul_right_apply_same (a : n) (M : Matrix n n α) :
(M * stdBasisMatrix i j c) a j = M a i * c := by simp [mul_apply, stdBasisMatrix, mul_comm]
#align matrix.std_basis_matrix.mul_right_apply_same Matrix.StdBasisMatrix.mul_right_apply_same
@[simp]
theorem mul_left_apply_of_ne (a b : n) (h : a ≠ i) (M : Matrix n n α) :
(stdBasisMatrix i j c * M) a b = 0 := by simp [mul_apply, h.symm]
#align matrix.std_basis_matrix.mul_left_apply_of_ne Matrix.StdBasisMatrix.mul_left_apply_of_ne
@[simp]
| Mathlib/Data/Matrix/Basis.lean | 195 | 196 | theorem mul_right_apply_of_ne (a b : n) (hbj : b ≠ j) (M : Matrix n n α) :
(M * stdBasisMatrix i j c) a b = 0 := by | simp [mul_apply, hbj.symm]
|
import Mathlib.MeasureTheory.Measure.GiryMonad
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Measure.OpenPos
#align_import measure_theory.constructions.prod.basic from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace hiding generateFrom
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
theorem IsPiSystem.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsPiSystem C)
(hD : IsPiSystem D) : IsPiSystem (image2 (· ×ˢ ·) C D) := by
rintro _ ⟨s₁, hs₁, t₁, ht₁, rfl⟩ _ ⟨s₂, hs₂, t₂, ht₂, rfl⟩ hst
rw [prod_inter_prod] at hst ⊢; rw [prod_nonempty_iff] at hst
exact mem_image2_of_mem (hC _ hs₁ _ hs₂ hst.1) (hD _ ht₁ _ ht₂ hst.2)
#align is_pi_system.prod IsPiSystem.prod
theorem IsCountablySpanning.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) : IsCountablySpanning (image2 (· ×ˢ ·) C D) := by
rcases hC, hD with ⟨⟨s, h1s, h2s⟩, t, h1t, h2t⟩
refine ⟨fun n => s n.unpair.1 ×ˢ t n.unpair.2, fun n => mem_image2_of_mem (h1s _) (h1t _), ?_⟩
rw [iUnion_unpair_prod, h2s, h2t, univ_prod_univ]
#align is_countably_spanning.prod IsCountablySpanning.prod
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem generateFrom_prod_eq {α β} {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) :
@Prod.instMeasurableSpace _ _ (generateFrom C) (generateFrom D) =
generateFrom (image2 (· ×ˢ ·) C D) := by
apply le_antisymm
· refine sup_le ?_ ?_ <;> rw [comap_generateFrom] <;> apply generateFrom_le <;>
rintro _ ⟨s, hs, rfl⟩
· rcases hD with ⟨t, h1t, h2t⟩
rw [← prod_univ, ← h2t, prod_iUnion]
apply MeasurableSet.iUnion
intro n
apply measurableSet_generateFrom
exact ⟨s, hs, t n, h1t n, rfl⟩
· rcases hC with ⟨t, h1t, h2t⟩
rw [← univ_prod, ← h2t, iUnion_prod_const]
apply MeasurableSet.iUnion
rintro n
apply measurableSet_generateFrom
exact mem_image2_of_mem (h1t n) hs
· apply generateFrom_le
rintro _ ⟨s, hs, t, ht, rfl⟩
dsimp only
rw [prod_eq]
apply (measurable_fst _).inter (measurable_snd _)
· exact measurableSet_generateFrom hs
· exact measurableSet_generateFrom ht
#align generate_from_prod_eq generateFrom_prod_eq
theorem generateFrom_eq_prod {C : Set (Set α)} {D : Set (Set β)} (hC : generateFrom C = ‹_›)
(hD : generateFrom D = ‹_›) (h2C : IsCountablySpanning C) (h2D : IsCountablySpanning D) :
generateFrom (image2 (· ×ˢ ·) C D) = Prod.instMeasurableSpace := by
rw [← hC, ← hD, generateFrom_prod_eq h2C h2D]
#align generate_from_eq_prod generateFrom_eq_prod
theorem generateFrom_prod :
generateFrom (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) =
Prod.instMeasurableSpace :=
generateFrom_eq_prod generateFrom_measurableSet generateFrom_measurableSet
isCountablySpanning_measurableSet isCountablySpanning_measurableSet
#align generate_from_prod generateFrom_prod
theorem isPiSystem_prod :
IsPiSystem (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) :=
isPiSystem_measurableSet.prod isPiSystem_measurableSet
#align is_pi_system_prod isPiSystem_prod
theorem measurable_measure_prod_mk_left_finite [IsFiniteMeasure ν] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
refine induction_on_inter (C := fun s => Measurable fun x => ν (Prod.mk x ⁻¹' s))
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ hs
· simp
· rintro _ ⟨s, hs, t, _, rfl⟩
simp only [mk_preimage_prod_right_eq_if, measure_if]
exact measurable_const.indicator hs
· intro t ht h2t
simp_rw [preimage_compl, measure_compl (measurable_prod_mk_left ht) (measure_ne_top ν _)]
exact h2t.const_sub _
· intro f h1f h2f h3f
simp_rw [preimage_iUnion]
have : ∀ b, ν (⋃ i, Prod.mk b ⁻¹' f i) = ∑' i, ν (Prod.mk b ⁻¹' f i) := fun b =>
measure_iUnion (fun i j hij => Disjoint.preimage _ (h1f hij)) fun i =>
measurable_prod_mk_left (h2f i)
simp_rw [this]
apply Measurable.ennreal_tsum h3f
#align measurable_measure_prod_mk_left_finite measurable_measure_prod_mk_left_finite
theorem measurable_measure_prod_mk_left [SFinite ν] {s : Set (α × β)} (hs : MeasurableSet s) :
Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
rw [← sum_sFiniteSeq ν]
simp_rw [Measure.sum_apply_of_countable]
exact Measurable.ennreal_tsum (fun i ↦ measurable_measure_prod_mk_left_finite hs)
#align measurable_measure_prod_mk_left measurable_measure_prod_mk_left
theorem measurable_measure_prod_mk_right {μ : Measure α} [SFinite μ] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun y => μ ((fun x => (x, y)) ⁻¹' s) :=
measurable_measure_prod_mk_left (measurableSet_swap_iff.mpr hs)
#align measurable_measure_prod_mk_right measurable_measure_prod_mk_right
theorem Measurable.map_prod_mk_left [SFinite ν] :
Measurable fun x : α => map (Prod.mk x) ν := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_left hs]
exact measurable_measure_prod_mk_left hs
#align measurable.map_prod_mk_left Measurable.map_prod_mk_left
theorem Measurable.map_prod_mk_right {μ : Measure α} [SFinite μ] :
Measurable fun y : β => map (fun x : α => (x, y)) μ := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_right hs]
exact measurable_measure_prod_mk_right hs
#align measurable.map_prod_mk_right Measurable.map_prod_mk_right
theorem MeasurableEmbedding.prod_mk {α β γ δ : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} {mδ : MeasurableSpace δ} {f : α → β}
{g : γ → δ} (hg : MeasurableEmbedding g) (hf : MeasurableEmbedding f) :
MeasurableEmbedding fun x : γ × α => (g x.1, f x.2) := by
have h_inj : Function.Injective fun x : γ × α => (g x.fst, f x.snd) := by
intro x y hxy
rw [← @Prod.mk.eta _ _ x, ← @Prod.mk.eta _ _ y]
simp only [Prod.mk.inj_iff] at hxy ⊢
exact ⟨hg.injective hxy.1, hf.injective hxy.2⟩
refine ⟨h_inj, ?_, ?_⟩
· exact (hg.measurable.comp measurable_fst).prod_mk (hf.measurable.comp measurable_snd)
· -- Induction using the π-system of rectangles
refine fun s hs =>
@MeasurableSpace.induction_on_inter _
(fun s => MeasurableSet ((fun x : γ × α => (g x.fst, f x.snd)) '' s)) _ _
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ _ hs
· simp only [Set.image_empty, MeasurableSet.empty]
· rintro t ⟨t₁, ht₁, t₂, ht₂, rfl⟩
rw [← Set.prod_image_image_eq]
exact (hg.measurableSet_image.mpr ht₁).prod (hf.measurableSet_image.mpr ht₂)
· intro t _ ht_m
rw [← Set.range_diff_image h_inj, ← Set.prod_range_range_eq]
exact
MeasurableSet.diff (MeasurableSet.prod hg.measurableSet_range hf.measurableSet_range) ht_m
· intro g _ _ hg
simp_rw [Set.image_iUnion]
exact MeasurableSet.iUnion hg
#align measurable_embedding.prod_mk MeasurableEmbedding.prod_mk
lemma MeasurableEmbedding.prod_mk_left {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
(x : α) {f : γ → β} (hf : MeasurableEmbedding f) :
MeasurableEmbedding (fun y ↦ (x, f y)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, true_and]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk measurable_const hf.measurable
measurableSet_image' := by
intro s hs
convert (MeasurableSet.singleton x).prod (hf.measurableSet_image.mpr hs)
ext x
simp
lemma measurableEmbedding_prod_mk_left [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (Prod.mk x : β → α × β) :=
MeasurableEmbedding.prod_mk_left x MeasurableEmbedding.id
lemma MeasurableEmbedding.prod_mk_right {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
{f : γ → β} (hf : MeasurableEmbedding f) (x : α) :
MeasurableEmbedding (fun y ↦ (f y, x)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, and_true]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk hf.measurable measurable_const
measurableSet_image' := by
intro s hs
convert (hf.measurableSet_image.mpr hs).prod (MeasurableSet.singleton x)
ext x
simp
lemma measurableEmbedding_prod_mk_right [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (fun y ↦ (y, x) : β → β × α) :=
MeasurableEmbedding.prod_mk_right MeasurableEmbedding.id x
theorem Measurable.lintegral_prod_right' [SFinite ν] :
∀ {f : α × β → ℝ≥0∞}, Measurable f → Measurable fun x => ∫⁻ y, f (x, y) ∂ν := by
have m := @measurable_prod_mk_left
refine Measurable.ennreal_induction (P := fun f => Measurable fun (x : α) => ∫⁻ y, f (x, y) ∂ν)
?_ ?_ ?_
· intro c s hs
simp only [← indicator_comp_right]
suffices Measurable fun x => c * ν (Prod.mk x ⁻¹' s) by simpa [lintegral_indicator _ (m hs)]
exact (measurable_measure_prod_mk_left hs).const_mul _
· rintro f g - hf - h2f h2g
simp only [Pi.add_apply]
conv => enter [1, x]; erw [lintegral_add_left (hf.comp m)]
exact h2f.add h2g
· intro f hf h2f h3f
have := measurable_iSup h3f
have : ∀ x, Monotone fun n y => f n (x, y) := fun x i j hij y => h2f hij (x, y)
conv => enter [1, x]; erw [lintegral_iSup (fun n => (hf n).comp m) (this x)]
assumption
#align measurable.lintegral_prod_right' Measurable.lintegral_prod_right'
theorem Measurable.lintegral_prod_right [SFinite ν] {f : α → β → ℝ≥0∞}
(hf : Measurable (uncurry f)) : Measurable fun x => ∫⁻ y, f x y ∂ν :=
hf.lintegral_prod_right'
#align measurable.lintegral_prod_right Measurable.lintegral_prod_right
theorem Measurable.lintegral_prod_left' [SFinite μ] {f : α × β → ℝ≥0∞} (hf : Measurable f) :
Measurable fun y => ∫⁻ x, f (x, y) ∂μ :=
(measurable_swap_iff.mpr hf).lintegral_prod_right'
#align measurable.lintegral_prod_left' Measurable.lintegral_prod_left'
theorem Measurable.lintegral_prod_left [SFinite μ] {f : α → β → ℝ≥0∞}
(hf : Measurable (uncurry f)) : Measurable fun y => ∫⁻ x, f x y ∂μ :=
hf.lintegral_prod_left'
#align measurable.lintegral_prod_left Measurable.lintegral_prod_left
namespace MeasureTheory
namespace Measure
protected irreducible_def prod (μ : Measure α) (ν : Measure β) : Measure (α × β) :=
bind μ fun x : α => map (Prod.mk x) ν
#align measure_theory.measure.prod MeasureTheory.Measure.prod
instance prod.measureSpace {α β} [MeasureSpace α] [MeasureSpace β] : MeasureSpace (α × β) where
volume := volume.prod volume
#align measure_theory.measure.prod.measure_space MeasureTheory.Measure.prod.measureSpace
theorem volume_eq_prod (α β) [MeasureSpace α] [MeasureSpace β] :
(volume : Measure (α × β)) = (volume : Measure α).prod (volume : Measure β) :=
rfl
#align measure_theory.measure.volume_eq_prod MeasureTheory.Measure.volume_eq_prod
variable [SFinite ν]
theorem prod_apply {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = ∫⁻ x, ν (Prod.mk x ⁻¹' s) ∂μ := by
simp_rw [Measure.prod, bind_apply hs (Measurable.map_prod_mk_left (ν := ν)),
map_apply measurable_prod_mk_left hs]
#align measure_theory.measure.prod_apply MeasureTheory.Measure.prod_apply
@[simp]
theorem prod_prod (s : Set α) (t : Set β) : μ.prod ν (s ×ˢ t) = μ s * ν t := by
apply le_antisymm
· set S := toMeasurable μ s
set T := toMeasurable ν t
have hSTm : MeasurableSet (S ×ˢ T) :=
(measurableSet_toMeasurable _ _).prod (measurableSet_toMeasurable _ _)
calc
μ.prod ν (s ×ˢ t) ≤ μ.prod ν (S ×ˢ T) := by gcongr <;> apply subset_toMeasurable
_ = μ S * ν T := by
rw [prod_apply hSTm]
simp_rw [mk_preimage_prod_right_eq_if, measure_if,
lintegral_indicator _ (measurableSet_toMeasurable _ _), lintegral_const,
restrict_apply_univ, mul_comm]
_ = μ s * ν t := by rw [measure_toMeasurable, measure_toMeasurable]
· -- Formalization is based on https://mathoverflow.net/a/254134/136589
set ST := toMeasurable (μ.prod ν) (s ×ˢ t)
have hSTm : MeasurableSet ST := measurableSet_toMeasurable _ _
have hST : s ×ˢ t ⊆ ST := subset_toMeasurable _ _
set f : α → ℝ≥0∞ := fun x => ν (Prod.mk x ⁻¹' ST)
have hfm : Measurable f := measurable_measure_prod_mk_left hSTm
set s' : Set α := { x | ν t ≤ f x }
have hss' : s ⊆ s' := fun x hx => measure_mono fun y hy => hST <| mk_mem_prod hx hy
calc
μ s * ν t ≤ μ s' * ν t := by gcongr
_ = ∫⁻ _ in s', ν t ∂μ := by rw [set_lintegral_const, mul_comm]
_ ≤ ∫⁻ x in s', f x ∂μ := set_lintegral_mono measurable_const hfm fun x => id
_ ≤ ∫⁻ x, f x ∂μ := lintegral_mono' restrict_le_self le_rfl
_ = μ.prod ν ST := (prod_apply hSTm).symm
_ = μ.prod ν (s ×ˢ t) := measure_toMeasurable _
#align measure_theory.measure.prod_prod MeasureTheory.Measure.prod_prod
@[simp] lemma map_fst_prod : Measure.map Prod.fst (μ.prod ν) = (ν univ) • μ := by
ext s hs
simp [Measure.map_apply measurable_fst hs, ← prod_univ, mul_comm]
@[simp] lemma map_snd_prod : Measure.map Prod.snd (μ.prod ν) = (μ univ) • ν := by
ext s hs
simp [Measure.map_apply measurable_snd hs, ← univ_prod]
instance prod.instIsOpenPosMeasure {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y]
{m : MeasurableSpace X} {μ : Measure X} [IsOpenPosMeasure μ] {m' : MeasurableSpace Y}
{ν : Measure Y} [IsOpenPosMeasure ν] [SFinite ν] : IsOpenPosMeasure (μ.prod ν) := by
constructor
rintro U U_open ⟨⟨x, y⟩, hxy⟩
rcases isOpen_prod_iff.1 U_open x y hxy with ⟨u, v, u_open, v_open, xu, yv, huv⟩
refine ne_of_gt (lt_of_lt_of_le ?_ (measure_mono huv))
simp only [prod_prod, CanonicallyOrderedCommSemiring.mul_pos]
constructor
· exact u_open.measure_pos μ ⟨x, xu⟩
· exact v_open.measure_pos ν ⟨y, yv⟩
#align measure_theory.measure.prod.is_open_pos_measure MeasureTheory.Measure.prod.instIsOpenPosMeasure
instance {X Y : Type*}
[TopologicalSpace X] [MeasureSpace X] [IsOpenPosMeasure (volume : Measure X)]
[TopologicalSpace Y] [MeasureSpace Y] [IsOpenPosMeasure (volume : Measure Y)]
[SFinite (volume : Measure Y)] : IsOpenPosMeasure (volume : Measure (X × Y)) :=
prod.instIsOpenPosMeasure
instance prod.instIsFiniteMeasure {α β : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
(μ : Measure α) (ν : Measure β) [IsFiniteMeasure μ] [IsFiniteMeasure ν] :
IsFiniteMeasure (μ.prod ν) := by
constructor
rw [← univ_prod_univ, prod_prod]
exact mul_lt_top (measure_lt_top _ _).ne (measure_lt_top _ _).ne
#align measure_theory.measure.prod.measure_theory.is_finite_measure MeasureTheory.Measure.prod.instIsFiniteMeasure
instance {α β : Type*} [MeasureSpace α] [MeasureSpace β] [IsFiniteMeasure (volume : Measure α)]
[IsFiniteMeasure (volume : Measure β)] : IsFiniteMeasure (volume : Measure (α × β)) :=
prod.instIsFiniteMeasure _ _
instance prod.instIsProbabilityMeasure {α β : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} (μ : Measure α) (ν : Measure β) [IsProbabilityMeasure μ]
[IsProbabilityMeasure ν] : IsProbabilityMeasure (μ.prod ν) :=
⟨by rw [← univ_prod_univ, prod_prod, measure_univ, measure_univ, mul_one]⟩
#align measure_theory.measure.prod.measure_theory.is_probability_measure MeasureTheory.Measure.prod.instIsProbabilityMeasure
instance {α β : Type*} [MeasureSpace α] [MeasureSpace β]
[IsProbabilityMeasure (volume : Measure α)] [IsProbabilityMeasure (volume : Measure β)] :
IsProbabilityMeasure (volume : Measure (α × β)) :=
prod.instIsProbabilityMeasure _ _
instance prod.instIsFiniteMeasureOnCompacts {α β : Type*} [TopologicalSpace α] [TopologicalSpace β]
{mα : MeasurableSpace α} {mβ : MeasurableSpace β} (μ : Measure α) (ν : Measure β)
[IsFiniteMeasureOnCompacts μ] [IsFiniteMeasureOnCompacts ν] [SFinite ν] :
IsFiniteMeasureOnCompacts (μ.prod ν) := by
refine ⟨fun K hK => ?_⟩
set L := (Prod.fst '' K) ×ˢ (Prod.snd '' K) with hL
have : K ⊆ L := by
rintro ⟨x, y⟩ hxy
simp only [L, prod_mk_mem_set_prod_eq, mem_image, Prod.exists, exists_and_right,
exists_eq_right]
exact ⟨⟨y, hxy⟩, ⟨x, hxy⟩⟩
apply lt_of_le_of_lt (measure_mono this)
rw [hL, prod_prod]
exact
mul_lt_top (IsCompact.measure_lt_top (hK.image continuous_fst)).ne
(IsCompact.measure_lt_top (hK.image continuous_snd)).ne
#align measure_theory.measure.prod.measure_theory.is_finite_measure_on_compacts MeasureTheory.Measure.prod.instIsFiniteMeasureOnCompacts
instance {X Y : Type*}
[TopologicalSpace X] [MeasureSpace X] [IsFiniteMeasureOnCompacts (volume : Measure X)]
[TopologicalSpace Y] [MeasureSpace Y] [IsFiniteMeasureOnCompacts (volume : Measure Y)]
[SFinite (volume : Measure Y)] : IsFiniteMeasureOnCompacts (volume : Measure (X × Y)) :=
prod.instIsFiniteMeasureOnCompacts _ _
instance prod.instNoAtoms_fst [NoAtoms μ] :
NoAtoms (Measure.prod μ ν) := by
refine NoAtoms.mk (fun x => ?_)
rw [← Set.singleton_prod_singleton, Measure.prod_prod, measure_singleton, zero_mul]
instance prod.instNoAtoms_snd [NoAtoms ν] :
NoAtoms (Measure.prod μ ν) := by
refine NoAtoms.mk (fun x => ?_)
rw [← Set.singleton_prod_singleton, Measure.prod_prod, measure_singleton (μ := ν), mul_zero]
theorem ae_measure_lt_top {s : Set (α × β)} (hs : MeasurableSet s) (h2s : (μ.prod ν) s ≠ ∞) :
∀ᵐ x ∂μ, ν (Prod.mk x ⁻¹' s) < ∞ := by
rw [prod_apply hs] at h2s
exact ae_lt_top (measurable_measure_prod_mk_left hs) h2s
#align measure_theory.measure.ae_measure_lt_top MeasureTheory.Measure.ae_measure_lt_top
theorem measure_prod_null {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = 0 ↔ (fun x => ν (Prod.mk x ⁻¹' s)) =ᵐ[μ] 0 := by
rw [prod_apply hs, lintegral_eq_zero_iff (measurable_measure_prod_mk_left hs)]
#align measure_theory.measure.measure_prod_null MeasureTheory.Measure.measure_prod_null
theorem measure_ae_null_of_prod_null {s : Set (α × β)} (h : μ.prod ν s = 0) :
(fun x => ν (Prod.mk x ⁻¹' s)) =ᵐ[μ] 0 := by
obtain ⟨t, hst, mt, ht⟩ := exists_measurable_superset_of_null h
rw [measure_prod_null mt] at ht
rw [eventuallyLE_antisymm_iff]
exact
⟨EventuallyLE.trans_eq (eventually_of_forall fun x => (measure_mono (preimage_mono hst) : _))
ht,
eventually_of_forall fun x => zero_le _⟩
#align measure_theory.measure.measure_ae_null_of_prod_null MeasureTheory.Measure.measure_ae_null_of_prod_null
theorem AbsolutelyContinuous.prod [SFinite ν'] (h1 : μ ≪ μ') (h2 : ν ≪ ν') :
μ.prod ν ≪ μ'.prod ν' := by
refine AbsolutelyContinuous.mk fun s hs h2s => ?_
rw [measure_prod_null hs] at h2s ⊢
exact (h2s.filter_mono h1.ae_le).mono fun _ h => h2 h
#align measure_theory.measure.absolutely_continuous.prod MeasureTheory.Measure.AbsolutelyContinuous.prod
theorem ae_ae_of_ae_prod {p : α × β → Prop} (h : ∀ᵐ z ∂μ.prod ν, p z) :
∀ᵐ x ∂μ, ∀ᵐ y ∂ν, p (x, y) :=
measure_ae_null_of_prod_null h
#align measure_theory.measure.ae_ae_of_ae_prod MeasureTheory.Measure.ae_ae_of_ae_prod
theorem ae_ae_eq_curry_of_prod {f g : α × β → γ} (h : f =ᵐ[μ.prod ν] g) :
∀ᵐ x ∂μ, curry f x =ᵐ[ν] curry g x :=
ae_ae_of_ae_prod h
theorem ae_ae_eq_of_ae_eq_uncurry {f g : α → β → γ} (h : uncurry f =ᵐ[μ.prod ν] uncurry g) :
∀ᵐ x ∂μ, f x =ᵐ[ν] g x :=
ae_ae_eq_curry_of_prod h
theorem ae_prod_mem_iff_ae_ae_mem {s : Set (α × β)} (hs : MeasurableSet s) :
(∀ᵐ z ∂μ.prod ν, z ∈ s) ↔ ∀ᵐ x ∂μ, ∀ᵐ y ∂ν, (x, y) ∈ s :=
measure_prod_null hs.compl
theorem quasiMeasurePreserving_fst : QuasiMeasurePreserving Prod.fst (μ.prod ν) μ := by
refine ⟨measurable_fst, AbsolutelyContinuous.mk fun s hs h2s => ?_⟩
rw [map_apply measurable_fst hs, ← prod_univ, prod_prod, h2s, zero_mul]
#align measure_theory.measure.quasi_measure_preserving_fst MeasureTheory.Measure.quasiMeasurePreserving_fst
theorem quasiMeasurePreserving_snd : QuasiMeasurePreserving Prod.snd (μ.prod ν) ν := by
refine ⟨measurable_snd, AbsolutelyContinuous.mk fun s hs h2s => ?_⟩
rw [map_apply measurable_snd hs, ← univ_prod, prod_prod, h2s, mul_zero]
#align measure_theory.measure.quasi_measure_preserving_snd MeasureTheory.Measure.quasiMeasurePreserving_snd
lemma set_prod_ae_eq {s s' : Set α} {t t' : Set β} (hs : s =ᵐ[μ] s') (ht : t =ᵐ[ν] t') :
(s ×ˢ t : Set (α × β)) =ᵐ[μ.prod ν] (s' ×ˢ t' : Set (α × β)) :=
(quasiMeasurePreserving_fst.preimage_ae_eq hs).inter
(quasiMeasurePreserving_snd.preimage_ae_eq ht)
lemma measure_prod_compl_eq_zero {s : Set α} {t : Set β}
(s_ae_univ : μ sᶜ = 0) (t_ae_univ : ν tᶜ = 0) :
μ.prod ν (s ×ˢ t)ᶜ = 0 := by
rw [Set.compl_prod_eq_union, measure_union_null_iff]
simp [s_ae_univ, t_ae_univ]
lemma _root_.MeasureTheory.NullMeasurableSet.prod {s : Set α} {t : Set β}
(s_mble : NullMeasurableSet s μ) (t_mble : NullMeasurableSet t ν) :
NullMeasurableSet (s ×ˢ t) (μ.prod ν) :=
let ⟨s₀, mble_s₀, s_aeeq_s₀⟩ := s_mble
let ⟨t₀, mble_t₀, t_aeeq_t₀⟩ := t_mble
⟨s₀ ×ˢ t₀, ⟨mble_s₀.prod mble_t₀, set_prod_ae_eq s_aeeq_s₀ t_aeeq_t₀⟩⟩
lemma _root_.MeasureTheory.NullMeasurableSet.right_of_prod {s : Set α} {t : Set β}
(h : NullMeasurableSet (s ×ˢ t) (μ.prod ν)) (hs : μ s ≠ 0) : NullMeasurableSet t ν := by
rcases h with ⟨u, hum, hu⟩
obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, (Prod.mk x ⁻¹' (s ×ˢ t)) =ᵐ[ν] (Prod.mk x ⁻¹' u) :=
((frequently_ae_iff.2 hs).and_eventually (ae_ae_eq_curry_of_prod hu)).exists
refine ⟨Prod.mk x ⁻¹' u, measurable_prod_mk_left hum, ?_⟩
rwa [mk_preimage_prod_right hxs] at hx
lemma _root_.MeasureTheory.NullMeasurableSet.of_preimage_snd [NeZero μ] {t : Set β}
(h : NullMeasurableSet (Prod.snd ⁻¹' t) (μ.prod ν)) : NullMeasurableSet t ν :=
.right_of_prod (by rwa [univ_prod]) (NeZero.ne _)
lemma nullMeasurableSet_preimage_snd [NeZero μ] {t : Set β} :
NullMeasurableSet (Prod.snd ⁻¹' t) (μ.prod ν) ↔ NullMeasurableSet t ν :=
⟨.of_preimage_snd, (.preimage · quasiMeasurePreserving_snd)⟩
lemma nullMeasurable_comp_snd [NeZero μ] {f : β → γ} :
NullMeasurable (f ∘ Prod.snd) (μ.prod ν) ↔ NullMeasurable f ν :=
forall₂_congr fun s _ ↦ nullMeasurableSet_preimage_snd (t := f ⁻¹' s)
noncomputable def FiniteSpanningSetsIn.prod {ν : Measure β} {C : Set (Set α)} {D : Set (Set β)}
(hμ : μ.FiniteSpanningSetsIn C) (hν : ν.FiniteSpanningSetsIn D) :
(μ.prod ν).FiniteSpanningSetsIn (image2 (· ×ˢ ·) C D) := by
haveI := hν.sigmaFinite
refine
⟨fun n => hμ.set n.unpair.1 ×ˢ hν.set n.unpair.2, fun n =>
mem_image2_of_mem (hμ.set_mem _) (hν.set_mem _), fun n => ?_, ?_⟩
· rw [prod_prod]
exact mul_lt_top (hμ.finite _).ne (hν.finite _).ne
· simp_rw [iUnion_unpair_prod, hμ.spanning, hν.spanning, univ_prod_univ]
#align measure_theory.measure.finite_spanning_sets_in.prod MeasureTheory.Measure.FiniteSpanningSetsIn.prod
lemma prod_sum_left {ι : Type*} (m : ι → Measure α) (μ : Measure β) [SFinite μ] :
(Measure.sum m).prod μ = Measure.sum (fun i ↦ (m i).prod μ) := by
ext s hs
simp only [prod_apply hs, lintegral_sum_measure, hs, sum_apply, ENNReal.tsum_prod']
#align measure_theory.measure.sum_prod MeasureTheory.Measure.prod_sum_left
lemma prod_sum_right {ι' : Type*} [Countable ι'] (m : Measure α) (m' : ι' → Measure β)
[∀ n, SFinite (m' n)] :
m.prod (Measure.sum m') = Measure.sum (fun p ↦ m.prod (m' p)) := by
ext s hs
simp only [prod_apply hs, lintegral_sum_measure, hs, sum_apply, ENNReal.tsum_prod']
have M : ∀ x, MeasurableSet (Prod.mk x ⁻¹' s) := fun x => measurable_prod_mk_left hs
simp_rw [Measure.sum_apply _ (M _)]
rw [lintegral_tsum (fun i ↦ (measurable_measure_prod_mk_left hs).aemeasurable)]
#align measure_theory.measure.prod_sum MeasureTheory.Measure.prod_sum_right
lemma prod_sum {ι ι' : Type*} [Countable ι'] (m : ι → Measure α) (m' : ι' → Measure β)
[∀ n, SFinite (m' n)] :
(Measure.sum m).prod (Measure.sum m') =
Measure.sum (fun (p : ι × ι') ↦ (m p.1).prod (m' p.2)) := by
simp_rw [prod_sum_left, prod_sum_right, sum_sum]
instance prod.instSigmaFinite {α β : Type*} {_ : MeasurableSpace α} {μ : Measure α}
[SigmaFinite μ] {_ : MeasurableSpace β} {ν : Measure β} [SigmaFinite ν] :
SigmaFinite (μ.prod ν) :=
(μ.toFiniteSpanningSetsIn.prod ν.toFiniteSpanningSetsIn).sigmaFinite
#align measure_theory.measure.prod.sigma_finite MeasureTheory.Measure.prod.instSigmaFinite
instance prod.instSFinite {α β : Type*} {_ : MeasurableSpace α} {μ : Measure α}
[SFinite μ] {_ : MeasurableSpace β} {ν : Measure β} [SFinite ν] :
SFinite (μ.prod ν) := by
have : μ.prod ν =
Measure.sum (fun (p : ℕ × ℕ) ↦ (sFiniteSeq μ p.1).prod (sFiniteSeq ν p.2)) := by
conv_lhs => rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν]
apply prod_sum
rw [this]
infer_instance
instance {α β} [MeasureSpace α] [SigmaFinite (volume : Measure α)]
[MeasureSpace β] [SigmaFinite (volume : Measure β)] : SigmaFinite (volume : Measure (α × β)) :=
prod.instSigmaFinite
instance {α β} [MeasureSpace α] [SFinite (volume : Measure α)]
[MeasureSpace β] [SFinite (volume : Measure β)] : SFinite (volume : Measure (α × β)) :=
prod.instSFinite
theorem prod_eq_generateFrom {μ : Measure α} {ν : Measure β} {C : Set (Set α)} {D : Set (Set β)}
(hC : generateFrom C = ‹_›) (hD : generateFrom D = ‹_›) (h2C : IsPiSystem C)
(h2D : IsPiSystem D) (h3C : μ.FiniteSpanningSetsIn C) (h3D : ν.FiniteSpanningSetsIn D)
{μν : Measure (α × β)} (h₁ : ∀ s ∈ C, ∀ t ∈ D, μν (s ×ˢ t) = μ s * ν t) : μ.prod ν = μν := by
refine
(h3C.prod h3D).ext
(generateFrom_eq_prod hC hD h3C.isCountablySpanning h3D.isCountablySpanning).symm
(h2C.prod h2D) ?_
rintro _ ⟨s, hs, t, ht, rfl⟩
haveI := h3D.sigmaFinite
rw [h₁ s hs t ht, prod_prod]
#align measure_theory.measure.prod_eq_generate_from MeasureTheory.Measure.prod_eq_generateFrom
theorem prod_eq {μ : Measure α} [SigmaFinite μ] {ν : Measure β} [SigmaFinite ν]
{μν : Measure (α × β)}
(h : ∀ s t, MeasurableSet s → MeasurableSet t → μν (s ×ˢ t) = μ s * ν t) : μ.prod ν = μν :=
prod_eq_generateFrom generateFrom_measurableSet generateFrom_measurableSet
isPiSystem_measurableSet isPiSystem_measurableSet μ.toFiniteSpanningSetsIn
ν.toFiniteSpanningSetsIn fun s hs t ht => h s t hs ht
#align measure_theory.measure.prod_eq MeasureTheory.Measure.prod_eq
variable [SFinite μ]
theorem prod_swap : map Prod.swap (μ.prod ν) = ν.prod μ := by
have : sum (fun (i : ℕ × ℕ) ↦ map Prod.swap ((sFiniteSeq μ i.1).prod (sFiniteSeq ν i.2)))
= sum (fun (i : ℕ × ℕ) ↦ map Prod.swap ((sFiniteSeq μ i.2).prod (sFiniteSeq ν i.1))) := by
ext s hs
rw [sum_apply _ hs, sum_apply _ hs]
exact ((Equiv.prodComm ℕ ℕ).tsum_eq _).symm
rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν, prod_sum, prod_sum,
map_sum measurable_swap.aemeasurable, this]
congr 1
ext1 i
refine (prod_eq ?_).symm
intro s t hs ht
simp_rw [map_apply measurable_swap (hs.prod ht), preimage_swap_prod, prod_prod, mul_comm]
#align measure_theory.measure.prod_swap MeasureTheory.Measure.prod_swap
theorem measurePreserving_swap : MeasurePreserving Prod.swap (μ.prod ν) (ν.prod μ) :=
⟨measurable_swap, prod_swap⟩
#align measure_theory.measure.measure_preserving_swap MeasureTheory.Measure.measurePreserving_swap
theorem prod_apply_symm {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = ∫⁻ y, μ ((fun x => (x, y)) ⁻¹' s) ∂ν := by
rw [← prod_swap, map_apply measurable_swap hs, prod_apply (measurable_swap hs)]
rfl
#align measure_theory.measure.prod_apply_symm MeasureTheory.Measure.prod_apply_symm
lemma _root_.MeasureTheory.NullMeasurableSet.left_of_prod {s : Set α} {t : Set β}
(h : NullMeasurableSet (s ×ˢ t) (μ.prod ν)) (ht : ν t ≠ 0) : NullMeasurableSet s μ := by
refine .right_of_prod ?_ ht
rw [← preimage_swap_prod]
exact h.preimage measurePreserving_swap.quasiMeasurePreserving
lemma _root_.MeasureTheory.NullMeasurableSet.of_preimage_fst [NeZero ν] {s : Set α}
(h : NullMeasurableSet (Prod.fst ⁻¹' s) (μ.prod ν)) : NullMeasurableSet s μ :=
.left_of_prod (by rwa [prod_univ]) (NeZero.ne _)
lemma nullMeasurableSet_preimage_fst [NeZero ν] {s : Set α} :
NullMeasurableSet (Prod.fst ⁻¹' s) (μ.prod ν) ↔ NullMeasurableSet s μ :=
⟨.of_preimage_fst, (.preimage · quasiMeasurePreserving_fst)⟩
lemma nullMeasurable_comp_fst [NeZero ν] {f : α → γ} :
NullMeasurable (f ∘ Prod.fst) (μ.prod ν) ↔ NullMeasurable f μ :=
forall₂_congr fun s _ ↦ nullMeasurableSet_preimage_fst (s := f ⁻¹' s)
lemma nullMeasurableSet_prod_of_ne_zero {s : Set α} {t : Set β} (hs : μ s ≠ 0) (ht : ν t ≠ 0) :
NullMeasurableSet (s ×ˢ t) (μ.prod ν) ↔ NullMeasurableSet s μ ∧ NullMeasurableSet t ν :=
⟨fun h ↦ ⟨h.left_of_prod ht, h.right_of_prod hs⟩, fun ⟨hs, ht⟩ ↦ hs.prod ht⟩
lemma nullMeasurableSet_prod {s : Set α} {t : Set β} :
NullMeasurableSet (s ×ˢ t) (μ.prod ν) ↔
NullMeasurableSet s μ ∧ NullMeasurableSet t ν ∨ μ s = 0 ∨ ν t = 0 := by
rcases eq_or_ne (μ s) 0 with hs | hs; · simp [NullMeasurableSet.of_null, *]
rcases eq_or_ne (ν t) 0 with ht | ht; · simp [NullMeasurableSet.of_null, *]
simp [*, nullMeasurableSet_prod_of_ne_zero]
theorem prodAssoc_prod [SFinite τ] :
map MeasurableEquiv.prodAssoc ((μ.prod ν).prod τ) = μ.prod (ν.prod τ) := by
have : sum (fun (p : ℕ × ℕ × ℕ) ↦
(sFiniteSeq μ p.1).prod ((sFiniteSeq ν p.2.1).prod (sFiniteSeq τ p.2.2)))
= sum (fun (p : (ℕ × ℕ) × ℕ) ↦
(sFiniteSeq μ p.1.1).prod ((sFiniteSeq ν p.1.2).prod (sFiniteSeq τ p.2))) := by
ext s hs
rw [sum_apply _ hs, sum_apply _ hs, ← (Equiv.prodAssoc _ _ _).tsum_eq]
simp only [Equiv.prodAssoc_apply]
rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν, ← sum_sFiniteSeq τ, prod_sum, prod_sum,
map_sum MeasurableEquiv.prodAssoc.measurable.aemeasurable, prod_sum, prod_sum, this]
congr
ext1 i
refine (prod_eq_generateFrom generateFrom_measurableSet generateFrom_prod
isPiSystem_measurableSet isPiSystem_prod ((sFiniteSeq μ i.1.1)).toFiniteSpanningSetsIn
((sFiniteSeq ν i.1.2).toFiniteSpanningSetsIn.prod (sFiniteSeq τ i.2).toFiniteSpanningSetsIn)
?_).symm
rintro s hs _ ⟨t, ht, u, hu, rfl⟩; rw [mem_setOf_eq] at hs ht hu
simp_rw [map_apply (MeasurableEquiv.measurable _) (hs.prod (ht.prod hu)),
MeasurableEquiv.prodAssoc, MeasurableEquiv.coe_mk, Equiv.prod_assoc_preimage, prod_prod,
mul_assoc]
#align measure_theory.measure.prod_assoc_prod MeasureTheory.Measure.prodAssoc_prod
theorem prod_restrict (s : Set α) (t : Set β) :
(μ.restrict s).prod (ν.restrict t) = (μ.prod ν).restrict (s ×ˢ t) := by
rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν, restrict_sum_of_countable, restrict_sum_of_countable,
prod_sum, prod_sum, restrict_sum_of_countable]
congr 1
ext1 i
refine prod_eq fun s' t' hs' ht' => ?_
rw [restrict_apply (hs'.prod ht'), prod_inter_prod, prod_prod, restrict_apply hs',
restrict_apply ht']
#align measure_theory.measure.prod_restrict MeasureTheory.Measure.prod_restrict
theorem restrict_prod_eq_prod_univ (s : Set α) :
(μ.restrict s).prod ν = (μ.prod ν).restrict (s ×ˢ univ) := by
have : ν = ν.restrict Set.univ := Measure.restrict_univ.symm
rw [this, Measure.prod_restrict, ← this]
#align measure_theory.measure.restrict_prod_eq_prod_univ MeasureTheory.Measure.restrict_prod_eq_prod_univ
theorem prod_dirac (y : β) : μ.prod (dirac y) = map (fun x => (x, y)) μ := by
rw [← sum_sFiniteSeq μ, prod_sum_left, map_sum measurable_prod_mk_right.aemeasurable]
congr
ext1 i
refine prod_eq fun s t hs ht => ?_
simp_rw [map_apply measurable_prod_mk_right (hs.prod ht), mk_preimage_prod_left_eq_if, measure_if,
dirac_apply' _ ht, ← indicator_mul_right _ fun _ => sFiniteSeq μ i s, Pi.one_apply, mul_one]
#align measure_theory.measure.prod_dirac MeasureTheory.Measure.prod_dirac
| Mathlib/MeasureTheory/Constructions/Prod/Basic.lean | 776 | 782 | theorem dirac_prod (x : α) : (dirac x).prod ν = map (Prod.mk x) ν := by |
rw [← sum_sFiniteSeq ν, prod_sum_right, map_sum measurable_prod_mk_left.aemeasurable]
congr
ext1 i
refine prod_eq fun s t hs ht => ?_
simp_rw [map_apply measurable_prod_mk_left (hs.prod ht), mk_preimage_prod_right_eq_if, measure_if,
dirac_apply' _ hs, ← indicator_mul_left _ _ fun _ => sFiniteSeq ν i t, Pi.one_apply, one_mul]
|
import Mathlib.Analysis.Normed.Group.Hom
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Data.Set.Image
import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov
import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp
import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality
import Mathlib.MeasureTheory.Measure.OpenPos
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Order.Filter.IndicatorFunction
#align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9"
noncomputable section
set_option linter.uppercaseLean3 false
open TopologicalSpace MeasureTheory Filter
open scoped NNReal ENNReal Topology MeasureTheory Uniformity
variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α}
[NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G]
namespace MeasureTheory
@[simp]
theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E]
{p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) :
snorm (AEEqFun.mk f hf) p μ = snorm f p μ :=
snorm_congr_ae (AEEqFun.coeFn_mk _ _)
#align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun
theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α}
[NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) :
snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by simp [hfp.2]
#align measure_theory.mem_ℒp.snorm_mk_lt_top MeasureTheory.Memℒp.snorm_mk_lt_top
def Lp {α} (E : Type*) {m : MeasurableSpace α} [NormedAddCommGroup E] (p : ℝ≥0∞)
(μ : Measure α := by volume_tac) : AddSubgroup (α →ₘ[μ] E) where
carrier := { f | snorm f p μ < ∞ }
zero_mem' := by simp [snorm_congr_ae AEEqFun.coeFn_zero, snorm_zero]
add_mem' {f g} hf hg := by
simp [snorm_congr_ae (AEEqFun.coeFn_add f g),
snorm_add_lt_top ⟨f.aestronglyMeasurable, hf⟩ ⟨g.aestronglyMeasurable, hg⟩]
neg_mem' {f} hf := by rwa [Set.mem_setOf_eq, snorm_congr_ae (AEEqFun.coeFn_neg f), snorm_neg]
#align measure_theory.Lp MeasureTheory.Lp
-- Porting note: calling the first argument `α` breaks the `(α := ·)` notation
scoped notation:25 α' " →₁[" μ "] " E => MeasureTheory.Lp (α := α') E 1 μ
scoped notation:25 α' " →₂[" μ "] " E => MeasureTheory.Lp (α := α') E 2 μ
namespace Lp
instance instCoeFun : CoeFun (Lp E p μ) (fun _ => α → E) :=
⟨fun f => ((f : α →ₘ[μ] E) : α → E)⟩
#align measure_theory.Lp.has_coe_to_fun MeasureTheory.Lp.instCoeFun
@[ext high]
theorem ext {f g : Lp E p μ} (h : f =ᵐ[μ] g) : f = g := by
cases f
cases g
simp only [Subtype.mk_eq_mk]
exact AEEqFun.ext h
#align measure_theory.Lp.ext MeasureTheory.Lp.ext
theorem ext_iff {f g : Lp E p μ} : f = g ↔ f =ᵐ[μ] g :=
⟨fun h => by rw [h], fun h => ext h⟩
#align measure_theory.Lp.ext_iff MeasureTheory.Lp.ext_iff
theorem mem_Lp_iff_snorm_lt_top {f : α →ₘ[μ] E} : f ∈ Lp E p μ ↔ snorm f p μ < ∞ := Iff.rfl
#align measure_theory.Lp.mem_Lp_iff_snorm_lt_top MeasureTheory.Lp.mem_Lp_iff_snorm_lt_top
theorem mem_Lp_iff_memℒp {f : α →ₘ[μ] E} : f ∈ Lp E p μ ↔ Memℒp f p μ := by
simp [mem_Lp_iff_snorm_lt_top, Memℒp, f.stronglyMeasurable.aestronglyMeasurable]
#align measure_theory.Lp.mem_Lp_iff_mem_ℒp MeasureTheory.Lp.mem_Lp_iff_memℒp
protected theorem antitone [IsFiniteMeasure μ] {p q : ℝ≥0∞} (hpq : p ≤ q) : Lp E q μ ≤ Lp E p μ :=
fun f hf => (Memℒp.memℒp_of_exponent_le ⟨f.aestronglyMeasurable, hf⟩ hpq).2
#align measure_theory.Lp.antitone MeasureTheory.Lp.antitone
@[simp]
theorem coeFn_mk {f : α →ₘ[μ] E} (hf : snorm f p μ < ∞) : ((⟨f, hf⟩ : Lp E p μ) : α → E) = f :=
rfl
#align measure_theory.Lp.coe_fn_mk MeasureTheory.Lp.coeFn_mk
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem coe_mk {f : α →ₘ[μ] E} (hf : snorm f p μ < ∞) : ((⟨f, hf⟩ : Lp E p μ) : α →ₘ[μ] E) = f :=
rfl
#align measure_theory.Lp.coe_mk MeasureTheory.Lp.coe_mk
@[simp]
theorem toLp_coeFn (f : Lp E p μ) (hf : Memℒp f p μ) : hf.toLp f = f := by
cases f
simp [Memℒp.toLp]
#align measure_theory.Lp.to_Lp_coe_fn MeasureTheory.Lp.toLp_coeFn
theorem snorm_lt_top (f : Lp E p μ) : snorm f p μ < ∞ :=
f.prop
#align measure_theory.Lp.snorm_lt_top MeasureTheory.Lp.snorm_lt_top
theorem snorm_ne_top (f : Lp E p μ) : snorm f p μ ≠ ∞ :=
(snorm_lt_top f).ne
#align measure_theory.Lp.snorm_ne_top MeasureTheory.Lp.snorm_ne_top
@[measurability]
protected theorem stronglyMeasurable (f : Lp E p μ) : StronglyMeasurable f :=
f.val.stronglyMeasurable
#align measure_theory.Lp.strongly_measurable MeasureTheory.Lp.stronglyMeasurable
@[measurability]
protected theorem aestronglyMeasurable (f : Lp E p μ) : AEStronglyMeasurable f μ :=
f.val.aestronglyMeasurable
#align measure_theory.Lp.ae_strongly_measurable MeasureTheory.Lp.aestronglyMeasurable
protected theorem memℒp (f : Lp E p μ) : Memℒp f p μ :=
⟨Lp.aestronglyMeasurable f, f.prop⟩
#align measure_theory.Lp.mem_ℒp MeasureTheory.Lp.memℒp
variable (E p μ)
theorem coeFn_zero : ⇑(0 : Lp E p μ) =ᵐ[μ] 0 :=
AEEqFun.coeFn_zero
#align measure_theory.Lp.coe_fn_zero MeasureTheory.Lp.coeFn_zero
variable {E p μ}
theorem coeFn_neg (f : Lp E p μ) : ⇑(-f) =ᵐ[μ] -f :=
AEEqFun.coeFn_neg _
#align measure_theory.Lp.coe_fn_neg MeasureTheory.Lp.coeFn_neg
theorem coeFn_add (f g : Lp E p μ) : ⇑(f + g) =ᵐ[μ] f + g :=
AEEqFun.coeFn_add _ _
#align measure_theory.Lp.coe_fn_add MeasureTheory.Lp.coeFn_add
theorem coeFn_sub (f g : Lp E p μ) : ⇑(f - g) =ᵐ[μ] f - g :=
AEEqFun.coeFn_sub _ _
#align measure_theory.Lp.coe_fn_sub MeasureTheory.Lp.coeFn_sub
theorem const_mem_Lp (α) {_ : MeasurableSpace α} (μ : Measure α) (c : E) [IsFiniteMeasure μ] :
@AEEqFun.const α _ _ μ _ c ∈ Lp E p μ :=
(memℒp_const c).snorm_mk_lt_top
#align measure_theory.Lp.mem_Lp_const MeasureTheory.Lp.const_mem_Lp
instance instNorm : Norm (Lp E p μ) where norm f := ENNReal.toReal (snorm f p μ)
#align measure_theory.Lp.has_norm MeasureTheory.Lp.instNorm
-- note: we need this to be defeq to the instance from `SeminormedAddGroup.toNNNorm`, so
-- can't use `ENNReal.toNNReal (snorm f p μ)`
instance instNNNorm : NNNorm (Lp E p μ) where nnnorm f := ⟨‖f‖, ENNReal.toReal_nonneg⟩
#align measure_theory.Lp.has_nnnorm MeasureTheory.Lp.instNNNorm
instance instDist : Dist (Lp E p μ) where dist f g := ‖f - g‖
#align measure_theory.Lp.has_dist MeasureTheory.Lp.instDist
instance instEDist : EDist (Lp E p μ) where edist f g := snorm (⇑f - ⇑g) p μ
#align measure_theory.Lp.has_edist MeasureTheory.Lp.instEDist
theorem norm_def (f : Lp E p μ) : ‖f‖ = ENNReal.toReal (snorm f p μ) :=
rfl
#align measure_theory.Lp.norm_def MeasureTheory.Lp.norm_def
theorem nnnorm_def (f : Lp E p μ) : ‖f‖₊ = ENNReal.toNNReal (snorm f p μ) :=
rfl
#align measure_theory.Lp.nnnorm_def MeasureTheory.Lp.nnnorm_def
@[simp, norm_cast]
protected theorem coe_nnnorm (f : Lp E p μ) : (‖f‖₊ : ℝ) = ‖f‖ :=
rfl
#align measure_theory.Lp.coe_nnnorm MeasureTheory.Lp.coe_nnnorm
@[simp, norm_cast]
theorem nnnorm_coe_ennreal (f : Lp E p μ) : (‖f‖₊ : ℝ≥0∞) = snorm f p μ :=
ENNReal.coe_toNNReal <| Lp.snorm_ne_top f
@[simp]
theorem norm_toLp (f : α → E) (hf : Memℒp f p μ) : ‖hf.toLp f‖ = ENNReal.toReal (snorm f p μ) := by
erw [norm_def, snorm_congr_ae (Memℒp.coeFn_toLp hf)]
#align measure_theory.Lp.norm_to_Lp MeasureTheory.Lp.norm_toLp
@[simp]
theorem nnnorm_toLp (f : α → E) (hf : Memℒp f p μ) :
‖hf.toLp f‖₊ = ENNReal.toNNReal (snorm f p μ) :=
NNReal.eq <| norm_toLp f hf
#align measure_theory.Lp.nnnorm_to_Lp MeasureTheory.Lp.nnnorm_toLp
theorem coe_nnnorm_toLp {f : α → E} (hf : Memℒp f p μ) : (‖hf.toLp f‖₊ : ℝ≥0∞) = snorm f p μ := by
rw [nnnorm_toLp f hf, ENNReal.coe_toNNReal hf.2.ne]
theorem dist_def (f g : Lp E p μ) : dist f g = (snorm (⇑f - ⇑g) p μ).toReal := by
simp_rw [dist, norm_def]
refine congr_arg _ ?_
apply snorm_congr_ae (coeFn_sub _ _)
#align measure_theory.Lp.dist_def MeasureTheory.Lp.dist_def
theorem edist_def (f g : Lp E p μ) : edist f g = snorm (⇑f - ⇑g) p μ :=
rfl
#align measure_theory.Lp.edist_def MeasureTheory.Lp.edist_def
protected theorem edist_dist (f g : Lp E p μ) : edist f g = .ofReal (dist f g) := by
rw [edist_def, dist_def, ← snorm_congr_ae (coeFn_sub _ _),
ENNReal.ofReal_toReal (snorm_ne_top (f - g))]
protected theorem dist_edist (f g : Lp E p μ) : dist f g = (edist f g).toReal :=
MeasureTheory.Lp.dist_def ..
theorem dist_eq_norm (f g : Lp E p μ) : dist f g = ‖f - g‖ := rfl
@[simp]
theorem edist_toLp_toLp (f g : α → E) (hf : Memℒp f p μ) (hg : Memℒp g p μ) :
edist (hf.toLp f) (hg.toLp g) = snorm (f - g) p μ := by
rw [edist_def]
exact snorm_congr_ae (hf.coeFn_toLp.sub hg.coeFn_toLp)
#align measure_theory.Lp.edist_to_Lp_to_Lp MeasureTheory.Lp.edist_toLp_toLp
@[simp]
theorem edist_toLp_zero (f : α → E) (hf : Memℒp f p μ) : edist (hf.toLp f) 0 = snorm f p μ := by
convert edist_toLp_toLp f 0 hf zero_memℒp
simp
#align measure_theory.Lp.edist_to_Lp_zero MeasureTheory.Lp.edist_toLp_zero
@[simp]
| Mathlib/MeasureTheory/Function/LpSpace.lean | 326 | 329 | theorem nnnorm_zero : ‖(0 : Lp E p μ)‖₊ = 0 := by |
rw [nnnorm_def]
change (snorm (⇑(0 : α →ₘ[μ] E)) p μ).toNNReal = 0
simp [snorm_congr_ae AEEqFun.coeFn_zero, snorm_zero]
|
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Data.Fintype.Basic
import Mathlib.Data.List.Sublists
import Mathlib.Data.List.InsertNth
#align_import group_theory.free_group from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
open Relation
universe u v w
variable {α : Type u}
attribute [local simp] List.append_eq_has_append
-- Porting note: to_additive.map_namespace is not supported yet
-- worked around it by putting a few extra manual mappings (but not too many all in all)
-- run_cmd to_additive.map_namespace `FreeGroup `FreeAddGroup
inductive FreeAddGroup.Red.Step : List (α × Bool) → List (α × Bool) → Prop
| not {L₁ L₂ x b} : FreeAddGroup.Red.Step (L₁ ++ (x, b) :: (x, not b) :: L₂) (L₁ ++ L₂)
#align free_add_group.red.step FreeAddGroup.Red.Step
attribute [simp] FreeAddGroup.Red.Step.not
@[to_additive FreeAddGroup.Red.Step]
inductive FreeGroup.Red.Step : List (α × Bool) → List (α × Bool) → Prop
| not {L₁ L₂ x b} : FreeGroup.Red.Step (L₁ ++ (x, b) :: (x, not b) :: L₂) (L₁ ++ L₂)
#align free_group.red.step FreeGroup.Red.Step
attribute [simp] FreeGroup.Red.Step.not
namespace FreeGroup
variable {L L₁ L₂ L₃ L₄ : List (α × Bool)}
@[to_additive FreeAddGroup.Red "Reflexive-transitive closure of `Red.Step`"]
def Red : List (α × Bool) → List (α × Bool) → Prop :=
ReflTransGen Red.Step
#align free_group.red FreeGroup.Red
#align free_add_group.red FreeAddGroup.Red
@[to_additive (attr := refl)]
theorem Red.refl : Red L L :=
ReflTransGen.refl
#align free_group.red.refl FreeGroup.Red.refl
#align free_add_group.red.refl FreeAddGroup.Red.refl
@[to_additive (attr := trans)]
theorem Red.trans : Red L₁ L₂ → Red L₂ L₃ → Red L₁ L₃ :=
ReflTransGen.trans
#align free_group.red.trans FreeGroup.Red.trans
#align free_add_group.red.trans FreeAddGroup.Red.trans
namespace Red
@[to_additive "Predicate asserting that the word `w₁` can be reduced to `w₂` in one step, i.e. there
are words `w₃ w₄` and letter `x` such that `w₁ = w₃ + x + (-x) + w₄` and `w₂ = w₃w₄`"]
theorem Step.length : ∀ {L₁ L₂ : List (α × Bool)}, Step L₁ L₂ → L₂.length + 2 = L₁.length
| _, _, @Red.Step.not _ L1 L2 x b => by rw [List.length_append, List.length_append]; rfl
#align free_group.red.step.length FreeGroup.Red.Step.length
#align free_add_group.red.step.length FreeAddGroup.Red.Step.length
@[to_additive (attr := simp)]
theorem Step.not_rev {x b} : Step (L₁ ++ (x, !b) :: (x, b) :: L₂) (L₁ ++ L₂) := by
cases b <;> exact Step.not
#align free_group.red.step.bnot_rev FreeGroup.Red.Step.not_rev
#align free_add_group.red.step.bnot_rev FreeAddGroup.Red.Step.not_rev
@[to_additive (attr := simp)]
theorem Step.cons_not {x b} : Red.Step ((x, b) :: (x, !b) :: L) L :=
@Step.not _ [] _ _ _
#align free_group.red.step.cons_bnot FreeGroup.Red.Step.cons_not
#align free_add_group.red.step.cons_bnot FreeAddGroup.Red.Step.cons_not
@[to_additive (attr := simp)]
theorem Step.cons_not_rev {x b} : Red.Step ((x, !b) :: (x, b) :: L) L :=
@Red.Step.not_rev _ [] _ _ _
#align free_group.red.step.cons_bnot_rev FreeGroup.Red.Step.cons_not_rev
#align free_add_group.red.step.cons_bnot_rev FreeAddGroup.Red.Step.cons_not_rev
@[to_additive]
theorem Step.append_left : ∀ {L₁ L₂ L₃ : List (α × Bool)}, Step L₂ L₃ → Step (L₁ ++ L₂) (L₁ ++ L₃)
| _, _, _, Red.Step.not => by rw [← List.append_assoc, ← List.append_assoc]; constructor
#align free_group.red.step.append_left FreeGroup.Red.Step.append_left
#align free_add_group.red.step.append_left FreeAddGroup.Red.Step.append_left
@[to_additive]
theorem Step.cons {x} (H : Red.Step L₁ L₂) : Red.Step (x :: L₁) (x :: L₂) :=
@Step.append_left _ [x] _ _ H
#align free_group.red.step.cons FreeGroup.Red.Step.cons
#align free_add_group.red.step.cons FreeAddGroup.Red.Step.cons
@[to_additive]
theorem Step.append_right : ∀ {L₁ L₂ L₃ : List (α × Bool)}, Step L₁ L₂ → Step (L₁ ++ L₃) (L₂ ++ L₃)
| _, _, _, Red.Step.not => by simp
#align free_group.red.step.append_right FreeGroup.Red.Step.append_right
#align free_add_group.red.step.append_right FreeAddGroup.Red.Step.append_right
@[to_additive]
theorem not_step_nil : ¬Step [] L := by
generalize h' : [] = L'
intro h
cases' h with L₁ L₂
simp [List.nil_eq_append] at h'
#align free_group.red.not_step_nil FreeGroup.Red.not_step_nil
#align free_add_group.red.not_step_nil FreeAddGroup.Red.not_step_nil
@[to_additive]
theorem Step.cons_left_iff {a : α} {b : Bool} :
Step ((a, b) :: L₁) L₂ ↔ (∃ L, Step L₁ L ∧ L₂ = (a, b) :: L) ∨ L₁ = (a, ! b) :: L₂ := by
constructor
· generalize hL : ((a, b) :: L₁ : List _) = L
rintro @⟨_ | ⟨p, s'⟩, e, a', b'⟩
· simp at hL
simp [*]
· simp at hL
rcases hL with ⟨rfl, rfl⟩
refine Or.inl ⟨s' ++ e, Step.not, ?_⟩
simp
· rintro (⟨L, h, rfl⟩ | rfl)
· exact Step.cons h
· exact Step.cons_not
#align free_group.red.step.cons_left_iff FreeGroup.Red.Step.cons_left_iff
#align free_add_group.red.step.cons_left_iff FreeAddGroup.Red.Step.cons_left_iff
@[to_additive]
theorem not_step_singleton : ∀ {p : α × Bool}, ¬Step [p] L
| (a, b) => by simp [Step.cons_left_iff, not_step_nil]
#align free_group.red.not_step_singleton FreeGroup.Red.not_step_singleton
#align free_add_group.red.not_step_singleton FreeAddGroup.Red.not_step_singleton
@[to_additive]
theorem Step.cons_cons_iff : ∀ {p : α × Bool}, Step (p :: L₁) (p :: L₂) ↔ Step L₁ L₂ := by
simp (config := { contextual := true }) [Step.cons_left_iff, iff_def, or_imp]
#align free_group.red.step.cons_cons_iff FreeGroup.Red.Step.cons_cons_iff
#align free_add_group.red.step.cons_cons_iff FreeAddGroup.Red.Step.cons_cons_iff
@[to_additive]
theorem Step.append_left_iff : ∀ L, Step (L ++ L₁) (L ++ L₂) ↔ Step L₁ L₂
| [] => by simp
| p :: l => by simp [Step.append_left_iff l, Step.cons_cons_iff]
#align free_group.red.step.append_left_iff FreeGroup.Red.Step.append_left_iff
#align free_add_group.red.step.append_left_iff FreeAddGroup.Red.Step.append_left_iff
@[to_additive]
theorem Step.diamond_aux :
∀ {L₁ L₂ L₃ L₄ : List (α × Bool)} {x1 b1 x2 b2},
L₁ ++ (x1, b1) :: (x1, !b1) :: L₂ = L₃ ++ (x2, b2) :: (x2, !b2) :: L₄ →
L₁ ++ L₂ = L₃ ++ L₄ ∨ ∃ L₅, Red.Step (L₁ ++ L₂) L₅ ∧ Red.Step (L₃ ++ L₄) L₅
| [], _, [], _, _, _, _, _, H => by injections; subst_vars; simp
| [], _, [(x3, b3)], _, _, _, _, _, H => by injections; subst_vars; simp
| [(x3, b3)], _, [], _, _, _, _, _, H => by injections; subst_vars; simp
| [], _, (x3, b3) :: (x4, b4) :: tl, _, _, _, _, _, H => by
injections; subst_vars; simp; right; exact ⟨_, Red.Step.not, Red.Step.cons_not⟩
| (x3, b3) :: (x4, b4) :: tl, _, [], _, _, _, _, _, H => by
injections; subst_vars; simp; right; exact ⟨_, Red.Step.cons_not, Red.Step.not⟩
| (x3, b3) :: tl, _, (x4, b4) :: tl2, _, _, _, _, _, H =>
let ⟨H1, H2⟩ := List.cons.inj H
match Step.diamond_aux H2 with
| Or.inl H3 => Or.inl <| by simp [H1, H3]
| Or.inr ⟨L₅, H3, H4⟩ => Or.inr ⟨_, Step.cons H3, by simpa [H1] using Step.cons H4⟩
#align free_group.red.step.diamond_aux FreeGroup.Red.Step.diamond_aux
#align free_add_group.red.step.diamond_aux FreeAddGroup.Red.Step.diamond_aux
@[to_additive]
theorem Step.diamond :
∀ {L₁ L₂ L₃ L₄ : List (α × Bool)},
Red.Step L₁ L₃ → Red.Step L₂ L₄ → L₁ = L₂ → L₃ = L₄ ∨ ∃ L₅, Red.Step L₃ L₅ ∧ Red.Step L₄ L₅
| _, _, _, _, Red.Step.not, Red.Step.not, H => Step.diamond_aux H
#align free_group.red.step.diamond FreeGroup.Red.Step.diamond
#align free_add_group.red.step.diamond FreeAddGroup.Red.Step.diamond
@[to_additive]
theorem Step.to_red : Step L₁ L₂ → Red L₁ L₂ :=
ReflTransGen.single
#align free_group.red.step.to_red FreeGroup.Red.Step.to_red
#align free_add_group.red.step.to_red FreeAddGroup.Red.Step.to_red
@[to_additive
"**Church-Rosser theorem** for word reduction: If `w1 w2 w3` are words such that `w1` reduces
to `w2` and `w3` respectively, then there is a word `w4` such that `w2` and `w3` reduce to `w4`
respectively. This is also known as Newman's diamond lemma."]
theorem church_rosser : Red L₁ L₂ → Red L₁ L₃ → Join Red L₂ L₃ :=
Relation.church_rosser fun a b c hab hac =>
match b, c, Red.Step.diamond hab hac rfl with
| b, _, Or.inl rfl => ⟨b, by rfl, by rfl⟩
| b, c, Or.inr ⟨d, hbd, hcd⟩ => ⟨d, ReflGen.single hbd, hcd.to_red⟩
#align free_group.red.church_rosser FreeGroup.Red.church_rosser
#align free_add_group.red.church_rosser FreeAddGroup.Red.church_rosser
@[to_additive]
theorem cons_cons {p} : Red L₁ L₂ → Red (p :: L₁) (p :: L₂) :=
ReflTransGen.lift (List.cons p) fun _ _ => Step.cons
#align free_group.red.cons_cons FreeGroup.Red.cons_cons
#align free_add_group.red.cons_cons FreeAddGroup.Red.cons_cons
@[to_additive]
theorem cons_cons_iff (p) : Red (p :: L₁) (p :: L₂) ↔ Red L₁ L₂ :=
Iff.intro
(by
generalize eq₁ : (p :: L₁ : List _) = LL₁
generalize eq₂ : (p :: L₂ : List _) = LL₂
intro h
induction' h using Relation.ReflTransGen.head_induction_on
with L₁ L₂ h₁₂ h ih
generalizing L₁ L₂
· subst_vars
cases eq₂
constructor
· subst_vars
cases' p with a b
rw [Step.cons_left_iff] at h₁₂
rcases h₁₂ with (⟨L, h₁₂, rfl⟩ | rfl)
· exact (ih rfl rfl).head h₁₂
· exact (cons_cons h).tail Step.cons_not_rev)
cons_cons
#align free_group.red.cons_cons_iff FreeGroup.Red.cons_cons_iff
#align free_add_group.red.cons_cons_iff FreeAddGroup.Red.cons_cons_iff
@[to_additive]
theorem append_append_left_iff : ∀ L, Red (L ++ L₁) (L ++ L₂) ↔ Red L₁ L₂
| [] => Iff.rfl
| p :: L => by simp [append_append_left_iff L, cons_cons_iff]
#align free_group.red.append_append_left_iff FreeGroup.Red.append_append_left_iff
#align free_add_group.red.append_append_left_iff FreeAddGroup.Red.append_append_left_iff
@[to_additive]
theorem append_append (h₁ : Red L₁ L₃) (h₂ : Red L₂ L₄) : Red (L₁ ++ L₂) (L₃ ++ L₄) :=
(h₁.lift (fun L => L ++ L₂) fun _ _ => Step.append_right).trans ((append_append_left_iff _).2 h₂)
#align free_group.red.append_append FreeGroup.Red.append_append
#align free_add_group.red.append_append FreeAddGroup.Red.append_append
@[to_additive]
theorem to_append_iff : Red L (L₁ ++ L₂) ↔ ∃ L₃ L₄, L = L₃ ++ L₄ ∧ Red L₃ L₁ ∧ Red L₄ L₂ :=
Iff.intro
(by
generalize eq : L₁ ++ L₂ = L₁₂
intro h
induction' h with L' L₁₂ hLL' h ih generalizing L₁ L₂
· exact ⟨_, _, eq.symm, by rfl, by rfl⟩
· cases' h with s e a b
rcases List.append_eq_append_iff.1 eq with (⟨s', rfl, rfl⟩ | ⟨e', rfl, rfl⟩)
· have : L₁ ++ (s' ++ (a, b) :: (a, not b) :: e) = L₁ ++ s' ++ (a, b) :: (a, not b) :: e :=
by simp
rcases ih this with ⟨w₁, w₂, rfl, h₁, h₂⟩
exact ⟨w₁, w₂, rfl, h₁, h₂.tail Step.not⟩
· have : s ++ (a, b) :: (a, not b) :: e' ++ L₂ = s ++ (a, b) :: (a, not b) :: (e' ++ L₂) :=
by simp
rcases ih this with ⟨w₁, w₂, rfl, h₁, h₂⟩
exact ⟨w₁, w₂, rfl, h₁.tail Step.not, h₂⟩)
fun ⟨L₃, L₄, Eq, h₃, h₄⟩ => Eq.symm ▸ append_append h₃ h₄
#align free_group.red.to_append_iff FreeGroup.Red.to_append_iff
#align free_add_group.red.to_append_iff FreeAddGroup.Red.to_append_iff
@[to_additive "The empty word `[]` only reduces to itself."]
theorem nil_iff : Red [] L ↔ L = [] :=
reflTransGen_iff_eq fun _ => Red.not_step_nil
#align free_group.red.nil_iff FreeGroup.Red.nil_iff
#align free_add_group.red.nil_iff FreeAddGroup.Red.nil_iff
@[to_additive "A letter only reduces to itself."]
theorem singleton_iff {x} : Red [x] L₁ ↔ L₁ = [x] :=
reflTransGen_iff_eq fun _ => not_step_singleton
#align free_group.red.singleton_iff FreeGroup.Red.singleton_iff
#align free_add_group.red.singleton_iff FreeAddGroup.Red.singleton_iff
@[to_additive
"If `x` is a letter and `w` is a word such that `x + w` reduces to the empty word, then `w`
reduces to `-x`."]
theorem cons_nil_iff_singleton {x b} : Red ((x, b) :: L) [] ↔ Red L [(x, not b)] :=
Iff.intro
(fun h => by
have h₁ : Red ((x, not b) :: (x, b) :: L) [(x, not b)] := cons_cons h
have h₂ : Red ((x, not b) :: (x, b) :: L) L := ReflTransGen.single Step.cons_not_rev
let ⟨L', h₁, h₂⟩ := church_rosser h₁ h₂
rw [singleton_iff] at h₁
subst L'
assumption)
fun h => (cons_cons h).tail Step.cons_not
#align free_group.red.cons_nil_iff_singleton FreeGroup.Red.cons_nil_iff_singleton
#align free_add_group.red.cons_nil_iff_singleton FreeAddGroup.Red.cons_nil_iff_singleton
@[to_additive]
theorem red_iff_irreducible {x1 b1 x2 b2} (h : (x1, b1) ≠ (x2, b2)) :
Red [(x1, !b1), (x2, b2)] L ↔ L = [(x1, !b1), (x2, b2)] := by
apply reflTransGen_iff_eq
generalize eq : [(x1, not b1), (x2, b2)] = L'
intro L h'
cases h'
simp [List.cons_eq_append, List.nil_eq_append] at eq
rcases eq with ⟨rfl, ⟨rfl, rfl⟩, ⟨rfl, rfl⟩, rfl⟩
simp at h
#align free_group.red.red_iff_irreducible FreeGroup.Red.red_iff_irreducible
#align free_add_group.red.red_iff_irreducible FreeAddGroup.Red.red_iff_irreducible
@[to_additive "If `x` and `y` are distinct letters and `w₁ w₂` are words such that `x + w₁` reduces
to `y + w₂`, then `w₁` reduces to `-x + y + w₂`."]
theorem inv_of_red_of_ne {x1 b1 x2 b2} (H1 : (x1, b1) ≠ (x2, b2))
(H2 : Red ((x1, b1) :: L₁) ((x2, b2) :: L₂)) : Red L₁ ((x1, not b1) :: (x2, b2) :: L₂) := by
have : Red ((x1, b1) :: L₁) ([(x2, b2)] ++ L₂) := H2
rcases to_append_iff.1 this with ⟨_ | ⟨p, L₃⟩, L₄, eq, h₁, h₂⟩
· simp [nil_iff] at h₁
· cases eq
show Red (L₃ ++ L₄) ([(x1, not b1), (x2, b2)] ++ L₂)
apply append_append _ h₂
have h₁ : Red ((x1, not b1) :: (x1, b1) :: L₃) [(x1, not b1), (x2, b2)] := cons_cons h₁
have h₂ : Red ((x1, not b1) :: (x1, b1) :: L₃) L₃ := Step.cons_not_rev.to_red
rcases church_rosser h₁ h₂ with ⟨L', h₁, h₂⟩
rw [red_iff_irreducible H1] at h₁
rwa [h₁] at h₂
#align free_group.red.inv_of_red_of_ne FreeGroup.Red.inv_of_red_of_ne
#align free_add_group.red.neg_of_red_of_ne FreeAddGroup.Red.neg_of_red_of_ne
open List -- for <+ notation
@[to_additive]
theorem Step.sublist (H : Red.Step L₁ L₂) : Sublist L₂ L₁ := by
cases H; simp; constructor; constructor; rfl
#align free_group.red.step.sublist FreeGroup.Red.Step.sublist
#align free_add_group.red.step.sublist FreeAddGroup.Red.Step.sublist
@[to_additive "If `w₁ w₂` are words such that `w₁` reduces to `w₂`, then `w₂` is a sublist of
`w₁`."]
protected theorem sublist : Red L₁ L₂ → L₂ <+ L₁ :=
@reflTransGen_of_transitive_reflexive
_ (fun a b => b <+ a) _ _ _
(fun l => List.Sublist.refl l)
(fun _a _b _c hab hbc => List.Sublist.trans hbc hab)
(fun _ _ => Red.Step.sublist)
#align free_group.red.sublist FreeGroup.Red.sublist
#align free_add_group.red.sublist FreeAddGroup.Red.sublist
@[to_additive]
theorem length_le (h : Red L₁ L₂) : L₂.length ≤ L₁.length :=
h.sublist.length_le
#align free_group.red.length_le FreeGroup.Red.length_le
#align free_add_group.red.length_le FreeAddGroup.Red.length_le
@[to_additive]
theorem sizeof_of_step : ∀ {L₁ L₂ : List (α × Bool)},
Step L₁ L₂ → sizeOf L₂ < sizeOf L₁
| _, _, @Step.not _ L1 L2 x b => by
induction L1 with
| nil =>
-- dsimp [sizeOf]
dsimp
simp only [Bool.sizeOf_eq_one]
have H :
1 + (1 + 1) + (1 + (1 + 1) + sizeOf L2) =
sizeOf L2 + (1 + ((1 + 1) + (1 + 1) + 1)) := by
ac_rfl
rw [H]
apply Nat.lt_add_of_pos_right
apply Nat.lt_add_right
apply Nat.zero_lt_one
| cons hd tl ih =>
dsimp
exact Nat.add_lt_add_left ih _
#align free_group.red.sizeof_of_step FreeGroup.Red.sizeof_of_step
#align free_add_group.red.sizeof_of_step FreeAddGroup.Red.sizeof_of_step
@[to_additive]
theorem length (h : Red L₁ L₂) : ∃ n, L₁.length = L₂.length + 2 * n := by
induction' h with L₂ L₃ _h₁₂ h₂₃ ih
· exact ⟨0, rfl⟩
· rcases ih with ⟨n, eq⟩
exists 1 + n
simp [Nat.mul_add, eq, (Step.length h₂₃).symm, add_assoc]
#align free_group.red.length FreeGroup.Red.length
#align free_add_group.red.length FreeAddGroup.Red.length
@[to_additive]
theorem antisymm (h₁₂ : Red L₁ L₂) (h₂₁ : Red L₂ L₁) : L₁ = L₂ :=
h₂₁.sublist.antisymm h₁₂.sublist
#align free_group.red.antisymm FreeGroup.Red.antisymm
#align free_add_group.red.antisymm FreeAddGroup.Red.antisymm
end Red
@[to_additive FreeAddGroup.equivalence_join_red]
theorem equivalence_join_red : Equivalence (Join (@Red α)) :=
equivalence_join_reflTransGen fun a b c hab hac =>
match b, c, Red.Step.diamond hab hac rfl with
| b, _, Or.inl rfl => ⟨b, by rfl, by rfl⟩
| b, c, Or.inr ⟨d, hbd, hcd⟩ => ⟨d, ReflGen.single hbd, ReflTransGen.single hcd⟩
#align free_group.equivalence_join_red FreeGroup.equivalence_join_red
#align free_add_group.equivalence_join_red FreeAddGroup.equivalence_join_red
@[to_additive FreeAddGroup.join_red_of_step]
theorem join_red_of_step (h : Red.Step L₁ L₂) : Join Red L₁ L₂ :=
join_of_single reflexive_reflTransGen h.to_red
#align free_group.join_red_of_step FreeGroup.join_red_of_step
#align free_add_group.join_red_of_step FreeAddGroup.join_red_of_step
@[to_additive FreeAddGroup.eqvGen_step_iff_join_red]
theorem eqvGen_step_iff_join_red : EqvGen Red.Step L₁ L₂ ↔ Join Red L₁ L₂ :=
Iff.intro
(fun h =>
have : EqvGen (Join Red) L₁ L₂ := h.mono fun _ _ => join_red_of_step
equivalence_join_red.eqvGen_iff.1 this)
(join_of_equivalence (EqvGen.is_equivalence _) fun _ _ =>
reflTransGen_of_equivalence (EqvGen.is_equivalence _) EqvGen.rel)
#align free_group.eqv_gen_step_iff_join_red FreeGroup.eqvGen_step_iff_join_red
#align free_add_group.eqv_gen_step_iff_join_red FreeAddGroup.eqvGen_step_iff_join_red
end FreeGroup
@[to_additive "The free additive group over a type, i.e. the words formed by the elements of the
type and their formal inverses, quotient by one step reduction."]
def FreeGroup (α : Type u) : Type u :=
Quot <| @FreeGroup.Red.Step α
#align free_group FreeGroup
#align free_add_group FreeAddGroup
namespace FreeGroup
variable {L L₁ L₂ L₃ L₄ : List (α × Bool)}
@[to_additive "The canonical map from `list (α × bool)` to the free additive group on `α`."]
def mk (L : List (α × Bool)) : FreeGroup α :=
Quot.mk Red.Step L
#align free_group.mk FreeGroup.mk
#align free_add_group.mk FreeAddGroup.mk
@[to_additive (attr := simp)]
theorem quot_mk_eq_mk : Quot.mk Red.Step L = mk L :=
rfl
#align free_group.quot_mk_eq_mk FreeGroup.quot_mk_eq_mk
#align free_add_group.quot_mk_eq_mk FreeAddGroup.quot_mk_eq_mk
@[to_additive (attr := simp)]
theorem quot_lift_mk (β : Type v) (f : List (α × Bool) → β)
(H : ∀ L₁ L₂, Red.Step L₁ L₂ → f L₁ = f L₂) : Quot.lift f H (mk L) = f L :=
rfl
#align free_group.quot_lift_mk FreeGroup.quot_lift_mk
#align free_add_group.quot_lift_mk FreeAddGroup.quot_lift_mk
@[to_additive (attr := simp)]
theorem quot_liftOn_mk (β : Type v) (f : List (α × Bool) → β)
(H : ∀ L₁ L₂, Red.Step L₁ L₂ → f L₁ = f L₂) : Quot.liftOn (mk L) f H = f L :=
rfl
#align free_group.quot_lift_on_mk FreeGroup.quot_liftOn_mk
#align free_add_group.quot_lift_on_mk FreeAddGroup.quot_liftOn_mk
@[to_additive (attr := simp)]
theorem quot_map_mk (β : Type v) (f : List (α × Bool) → List (β × Bool))
(H : (Red.Step ⇒ Red.Step) f f) : Quot.map f H (mk L) = mk (f L) :=
rfl
#align free_group.quot_map_mk FreeGroup.quot_map_mk
#align free_add_group.quot_map_mk FreeAddGroup.quot_map_mk
@[to_additive]
instance : One (FreeGroup α) :=
⟨mk []⟩
@[to_additive]
theorem one_eq_mk : (1 : FreeGroup α) = mk [] :=
rfl
#align free_group.one_eq_mk FreeGroup.one_eq_mk
#align free_add_group.zero_eq_mk FreeAddGroup.zero_eq_mk
@[to_additive]
instance : Inhabited (FreeGroup α) :=
⟨1⟩
@[to_additive]
instance [IsEmpty α] : Unique (FreeGroup α) := by unfold FreeGroup; infer_instance
@[to_additive]
instance : Mul (FreeGroup α) :=
⟨fun x y =>
Quot.liftOn x
(fun L₁ =>
Quot.liftOn y (fun L₂ => mk <| L₁ ++ L₂) fun _L₂ _L₃ H =>
Quot.sound <| Red.Step.append_left H)
fun _L₁ _L₂ H => Quot.inductionOn y fun _L₃ => Quot.sound <| Red.Step.append_right H⟩
@[to_additive (attr := simp)]
theorem mul_mk : mk L₁ * mk L₂ = mk (L₁ ++ L₂) :=
rfl
#align free_group.mul_mk FreeGroup.mul_mk
#align free_add_group.add_mk FreeAddGroup.add_mk
@[to_additive "Transform a word representing a free group element into a word representing its
negative."]
def invRev (w : List (α × Bool)) : List (α × Bool) :=
(List.map (fun g : α × Bool => (g.1, not g.2)) w).reverse
#align free_group.inv_rev FreeGroup.invRev
#align free_add_group.neg_rev FreeAddGroup.negRev
@[to_additive (attr := simp)]
theorem invRev_length : (invRev L₁).length = L₁.length := by simp [invRev]
#align free_group.inv_rev_length FreeGroup.invRev_length
#align free_add_group.neg_rev_length FreeAddGroup.negRev_length
@[to_additive (attr := simp)]
theorem invRev_invRev : invRev (invRev L₁) = L₁ := by
simp [invRev, List.map_reverse, (· ∘ ·)]
#align free_group.inv_rev_inv_rev FreeGroup.invRev_invRev
#align free_add_group.neg_rev_neg_rev FreeAddGroup.negRev_negRev
@[to_additive (attr := simp)]
theorem invRev_empty : invRev ([] : List (α × Bool)) = [] :=
rfl
#align free_group.inv_rev_empty FreeGroup.invRev_empty
#align free_add_group.neg_rev_empty FreeAddGroup.negRev_empty
@[to_additive]
theorem invRev_involutive : Function.Involutive (@invRev α) := fun _ => invRev_invRev
#align free_group.inv_rev_involutive FreeGroup.invRev_involutive
#align free_add_group.neg_rev_involutive FreeAddGroup.negRev_involutive
@[to_additive]
theorem invRev_injective : Function.Injective (@invRev α) :=
invRev_involutive.injective
#align free_group.inv_rev_injective FreeGroup.invRev_injective
#align free_add_group.neg_rev_injective FreeAddGroup.negRev_injective
@[to_additive]
theorem invRev_surjective : Function.Surjective (@invRev α) :=
invRev_involutive.surjective
#align free_group.inv_rev_surjective FreeGroup.invRev_surjective
#align free_add_group.neg_rev_surjective FreeAddGroup.negRev_surjective
@[to_additive]
theorem invRev_bijective : Function.Bijective (@invRev α) :=
invRev_involutive.bijective
#align free_group.inv_rev_bijective FreeGroup.invRev_bijective
#align free_add_group.neg_rev_bijective FreeAddGroup.negRev_bijective
@[to_additive]
instance : Inv (FreeGroup α) :=
⟨Quot.map invRev
(by
intro a b h
cases h
simp [invRev])⟩
@[to_additive (attr := simp)]
theorem inv_mk : (mk L)⁻¹ = mk (invRev L) :=
rfl
#align free_group.inv_mk FreeGroup.inv_mk
#align free_add_group.neg_mk FreeAddGroup.neg_mk
@[to_additive]
theorem Red.Step.invRev {L₁ L₂ : List (α × Bool)} (h : Red.Step L₁ L₂) :
Red.Step (FreeGroup.invRev L₁) (FreeGroup.invRev L₂) := by
cases' h with a b x y
simp [FreeGroup.invRev]
#align free_group.red.step.inv_rev FreeGroup.Red.Step.invRev
#align free_add_group.red.step.neg_rev FreeAddGroup.Red.Step.negRev
@[to_additive]
theorem Red.invRev {L₁ L₂ : List (α × Bool)} (h : Red L₁ L₂) : Red (invRev L₁) (invRev L₂) :=
Relation.ReflTransGen.lift _ (fun _a _b => Red.Step.invRev) h
#align free_group.red.inv_rev FreeGroup.Red.invRev
#align free_add_group.red.neg_rev FreeAddGroup.Red.negRev
@[to_additive (attr := simp)]
theorem Red.step_invRev_iff :
Red.Step (FreeGroup.invRev L₁) (FreeGroup.invRev L₂) ↔ Red.Step L₁ L₂ :=
⟨fun h => by simpa only [invRev_invRev] using h.invRev, fun h => h.invRev⟩
#align free_group.red.step_inv_rev_iff FreeGroup.Red.step_invRev_iff
#align free_add_group.red.step_neg_rev_iff FreeAddGroup.Red.step_negRev_iff
@[to_additive (attr := simp)]
theorem red_invRev_iff : Red (invRev L₁) (invRev L₂) ↔ Red L₁ L₂ :=
⟨fun h => by simpa only [invRev_invRev] using h.invRev, fun h => h.invRev⟩
#align free_group.red_inv_rev_iff FreeGroup.red_invRev_iff
#align free_add_group.red_neg_rev_iff FreeAddGroup.red_negRev_iff
@[to_additive]
instance : Group (FreeGroup α) where
mul := (· * ·)
one := 1
inv := Inv.inv
mul_assoc := by rintro ⟨L₁⟩ ⟨L₂⟩ ⟨L₃⟩; simp
one_mul := by rintro ⟨L⟩; rfl
mul_one := by rintro ⟨L⟩; simp [one_eq_mk]
mul_left_inv := by
rintro ⟨L⟩
exact
List.recOn L rfl fun ⟨x, b⟩ tl ih =>
Eq.trans (Quot.sound <| by simp [invRev, one_eq_mk]) ih
@[to_additive "`of` is the canonical injection from the type to the free group over that type
by sending each element to the equivalence class of the letter that is the element."]
def of (x : α) : FreeGroup α :=
mk [(x, true)]
#align free_group.of FreeGroup.of
#align free_add_group.of FreeAddGroup.of
@[to_additive]
theorem Red.exact : mk L₁ = mk L₂ ↔ Join Red L₁ L₂ :=
calc
mk L₁ = mk L₂ ↔ EqvGen Red.Step L₁ L₂ := Iff.intro (Quot.exact _) Quot.EqvGen_sound
_ ↔ Join Red L₁ L₂ := eqvGen_step_iff_join_red
#align free_group.red.exact FreeGroup.Red.exact
#align free_add_group.red.exact FreeAddGroup.Red.exact
@[to_additive "The canonical map from the type to the additive free group is an injection."]
theorem of_injective : Function.Injective (@of α) := fun _ _ H => by
let ⟨L₁, hx, hy⟩ := Red.exact.1 H
simp [Red.singleton_iff] at hx hy; aesop
#align free_group.of_injective FreeGroup.of_injective
#align free_add_group.of_injective FreeAddGroup.of_injective
section lift
variable {β : Type v} [Group β] (f : α → β) {x y : FreeGroup α}
@[to_additive "Given `f : α → β` with `β` an additive group, the canonical map
`list (α × bool) → β`"]
def Lift.aux : List (α × Bool) → β := fun L =>
List.prod <| L.map fun x => cond x.2 (f x.1) (f x.1)⁻¹
#align free_group.lift.aux FreeGroup.Lift.aux
#align free_add_group.lift.aux FreeAddGroup.Lift.aux
@[to_additive]
theorem Red.Step.lift {f : α → β} (H : Red.Step L₁ L₂) : Lift.aux f L₁ = Lift.aux f L₂ := by
cases' H with _ _ _ b; cases b <;> simp [Lift.aux]
#align free_group.red.step.lift FreeGroup.Red.Step.lift
#align free_add_group.red.step.lift FreeAddGroup.Red.Step.lift
@[to_additive (attr := simps symm_apply)
"If `β` is an additive group, then any function from `α` to `β` extends uniquely to an
additive group homomorphism from the free additive group over `α` to `β`"]
def lift : (α → β) ≃ (FreeGroup α →* β) where
toFun f :=
MonoidHom.mk' (Quot.lift (Lift.aux f) fun L₁ L₂ => Red.Step.lift) <| by
rintro ⟨L₁⟩ ⟨L₂⟩; simp [Lift.aux]
invFun g := g ∘ of
left_inv f := one_mul _
right_inv g :=
MonoidHom.ext <| by
rintro ⟨L⟩
exact List.recOn L
(g.map_one.symm)
(by
rintro ⟨x, _ | _⟩ t (ih : _ = g (mk t))
· show _ = g ((of x)⁻¹ * mk t)
simpa [Lift.aux] using ih
· show _ = g (of x * mk t)
simpa [Lift.aux] using ih)
#align free_group.lift FreeGroup.lift
#align free_add_group.lift FreeAddGroup.lift
#align free_group.lift_symm_apply FreeGroup.lift_symm_apply
#align free_add_group.lift_symm_apply FreeAddGroup.lift_symm_apply
variable {f}
@[to_additive (attr := simp)]
theorem lift.mk : lift f (mk L) = List.prod (L.map fun x => cond x.2 (f x.1) (f x.1)⁻¹) :=
rfl
#align free_group.lift.mk FreeGroup.lift.mk
#align free_add_group.lift.mk FreeAddGroup.lift.mk
@[to_additive (attr := simp)]
theorem lift.of {x} : lift f (of x) = f x :=
one_mul _
#align free_group.lift.of FreeGroup.lift.of
#align free_add_group.lift.of FreeAddGroup.lift.of
@[to_additive]
theorem lift.unique (g : FreeGroup α →* β) (hg : ∀ x, g (FreeGroup.of x) = f x) {x} :
g x = FreeGroup.lift f x :=
DFunLike.congr_fun (lift.symm_apply_eq.mp (funext hg : g ∘ FreeGroup.of = f)) x
#align free_group.lift.unique FreeGroup.lift.unique
#align free_add_group.lift.unique FreeAddGroup.lift.unique
@[to_additive (attr := ext) "Two homomorphisms out of a free additive group are equal if they are
equal on generators. See note [partially-applied ext lemmas]."]
theorem ext_hom {G : Type*} [Group G] (f g : FreeGroup α →* G) (h : ∀ a, f (of a) = g (of a)) :
f = g :=
lift.symm.injective <| funext h
#align free_group.ext_hom FreeGroup.ext_hom
#align free_add_group.ext_hom FreeAddGroup.ext_hom
@[to_additive]
theorem lift_of_eq_id (α) : lift of = MonoidHom.id (FreeGroup α) :=
lift.apply_symm_apply (MonoidHom.id _)
@[to_additive]
theorem lift.of_eq (x : FreeGroup α) : lift FreeGroup.of x = x :=
DFunLike.congr_fun (lift_of_eq_id α) x
#align free_group.lift.of_eq FreeGroup.lift.of_eq
#align free_add_group.lift.of_eq FreeAddGroup.lift.of_eq
@[to_additive]
theorem lift.range_le {s : Subgroup β} (H : Set.range f ⊆ s) : (lift f).range ≤ s := by
rintro _ ⟨⟨L⟩, rfl⟩;
exact
List.recOn L s.one_mem fun ⟨x, b⟩ tl ih =>
Bool.recOn b (by simp at ih ⊢; exact s.mul_mem (s.inv_mem <| H ⟨x, rfl⟩) ih)
(by simp at ih ⊢; exact s.mul_mem (H ⟨x, rfl⟩) ih)
#align free_group.lift.range_le FreeGroup.lift.range_le
#align free_add_group.lift.range_le FreeAddGroup.lift.range_le
@[to_additive]
theorem lift.range_eq_closure : (lift f).range = Subgroup.closure (Set.range f) := by
apply le_antisymm (lift.range_le Subgroup.subset_closure)
rw [Subgroup.closure_le]
rintro _ ⟨a, rfl⟩
exact ⟨FreeGroup.of a, by simp only [lift.of]⟩
#align free_group.lift.range_eq_closure FreeGroup.lift.range_eq_closure
#align free_add_group.lift.range_eq_closure FreeAddGroup.lift.range_eq_closure
@[to_additive (attr := simp)]
theorem closure_range_of (α) :
Subgroup.closure (Set.range (FreeGroup.of : α → FreeGroup α)) = ⊤ := by
rw [← lift.range_eq_closure, lift_of_eq_id]
exact MonoidHom.range_top_of_surjective _ Function.surjective_id
end lift
section Map
variable {β : Type v} (f : α → β) {x y : FreeGroup α}
@[to_additive "Any function from `α` to `β` extends uniquely to an additive group homomorphism from
the additive free group over `α` to the additive free group over `β`."]
def map : FreeGroup α →* FreeGroup β :=
MonoidHom.mk'
(Quot.map (List.map fun x => (f x.1, x.2)) fun L₁ L₂ H => by cases H; simp)
(by rintro ⟨L₁⟩ ⟨L₂⟩; simp)
#align free_group.map FreeGroup.map
#align free_add_group.map FreeAddGroup.map
variable {f}
@[to_additive (attr := simp)]
theorem map.mk : map f (mk L) = mk (L.map fun x => (f x.1, x.2)) :=
rfl
#align free_group.map.mk FreeGroup.map.mk
#align free_add_group.map.mk FreeAddGroup.map.mk
@[to_additive (attr := simp)]
theorem map.id (x : FreeGroup α) : map id x = x := by rcases x with ⟨L⟩; simp [List.map_id']
#align free_group.map.id FreeGroup.map.id
#align free_add_group.map.id FreeAddGroup.map.id
@[to_additive (attr := simp)]
theorem map.id' (x : FreeGroup α) : map (fun z => z) x = x :=
map.id x
#align free_group.map.id' FreeGroup.map.id'
#align free_add_group.map.id' FreeAddGroup.map.id'
@[to_additive]
theorem map.comp {γ : Type w} (f : α → β) (g : β → γ) (x) :
map g (map f x) = map (g ∘ f) x := by
rcases x with ⟨L⟩; simp [(· ∘ ·)]
#align free_group.map.comp FreeGroup.map.comp
#align free_add_group.map.comp FreeAddGroup.map.comp
@[to_additive (attr := simp)]
theorem map.of {x} : map f (of x) = of (f x) :=
rfl
#align free_group.map.of FreeGroup.map.of
#align free_add_group.map.of FreeAddGroup.map.of
@[to_additive]
theorem map.unique (g : FreeGroup α →* FreeGroup β)
(hg : ∀ x, g (FreeGroup.of x) = FreeGroup.of (f x)) :
∀ {x}, g x = map f x := by
rintro ⟨L⟩
exact List.recOn L g.map_one fun ⟨x, b⟩ t (ih : g (FreeGroup.mk t) = map f (FreeGroup.mk t)) =>
Bool.recOn b
(show g ((FreeGroup.of x)⁻¹ * FreeGroup.mk t) =
FreeGroup.map f ((FreeGroup.of x)⁻¹ * FreeGroup.mk t) by
simp [g.map_mul, g.map_inv, hg, ih])
(show g (FreeGroup.of x * FreeGroup.mk t) =
FreeGroup.map f (FreeGroup.of x * FreeGroup.mk t) by simp [g.map_mul, hg, ih])
#align free_group.map.unique FreeGroup.map.unique
#align free_add_group.map.unique FreeAddGroup.map.unique
@[to_additive]
theorem map_eq_lift : map f x = lift (of ∘ f) x :=
Eq.symm <| map.unique _ fun x => by simp
#align free_group.map_eq_lift FreeGroup.map_eq_lift
#align free_add_group.map_eq_lift FreeAddGroup.map_eq_lift
@[to_additive (attr := simps apply)
"Equivalent types give rise to additively equivalent additive free groups."]
def freeGroupCongr {α β} (e : α ≃ β) : FreeGroup α ≃* FreeGroup β where
toFun := map e
invFun := map e.symm
left_inv x := by simp [Function.comp, map.comp]
right_inv x := by simp [Function.comp, map.comp]
map_mul' := MonoidHom.map_mul _
#align free_group.free_group_congr FreeGroup.freeGroupCongr
#align free_add_group.free_add_group_congr FreeAddGroup.freeAddGroupCongr
#align free_group.free_group_congr_apply FreeGroup.freeGroupCongr_apply
#align free_add_group.free_add_group_congr_apply FreeAddGroup.freeAddGroupCongr_apply
@[to_additive (attr := simp)]
theorem freeGroupCongr_refl : freeGroupCongr (Equiv.refl α) = MulEquiv.refl _ :=
MulEquiv.ext map.id
#align free_group.free_group_congr_refl FreeGroup.freeGroupCongr_refl
#align free_add_group.free_add_group_congr_refl FreeAddGroup.freeAddGroupCongr_refl
@[to_additive (attr := simp)]
theorem freeGroupCongr_symm {α β} (e : α ≃ β) : (freeGroupCongr e).symm = freeGroupCongr e.symm :=
rfl
#align free_group.free_group_congr_symm FreeGroup.freeGroupCongr_symm
#align free_add_group.free_add_group_congr_symm FreeAddGroup.freeAddGroupCongr_symm
@[to_additive]
theorem freeGroupCongr_trans {α β γ} (e : α ≃ β) (f : β ≃ γ) :
(freeGroupCongr e).trans (freeGroupCongr f) = freeGroupCongr (e.trans f) :=
MulEquiv.ext <| map.comp _ _
#align free_group.free_group_congr_trans FreeGroup.freeGroupCongr_trans
#align free_add_group.free_add_group_congr_trans FreeAddGroup.freeAddGroupCongr_trans
end Map
section Prod
variable [Group α] (x y : FreeGroup α)
@[to_additive "If `α` is an additive group, then any function from `α` to `α` extends uniquely to an
additive homomorphism from the additive free group over `α` to `α`."]
def prod : FreeGroup α →* α :=
lift id
#align free_group.prod FreeGroup.prod
#align free_add_group.sum FreeAddGroup.sum
variable {x y}
@[to_additive (attr := simp)]
theorem prod_mk : prod (mk L) = List.prod (L.map fun x => cond x.2 x.1 x.1⁻¹) :=
rfl
#align free_group.prod_mk FreeGroup.prod_mk
#align free_add_group.sum_mk FreeAddGroup.sum_mk
@[to_additive (attr := simp)]
theorem prod.of {x : α} : prod (of x) = x :=
lift.of
#align free_group.prod.of FreeGroup.prod.of
#align free_add_group.sum.of FreeAddGroup.sum.of
@[to_additive]
theorem prod.unique (g : FreeGroup α →* α) (hg : ∀ x, g (FreeGroup.of x) = x) {x} : g x = prod x :=
lift.unique g hg
#align free_group.prod.unique FreeGroup.prod.unique
#align free_add_group.sum.unique FreeAddGroup.sum.unique
end Prod
@[to_additive]
theorem lift_eq_prod_map {β : Type v} [Group β] {f : α → β} {x} : lift f x = prod (map f x) := by
rw [← lift.unique (prod.comp (map f))]
· rfl
· simp
#align free_group.lift_eq_prod_map FreeGroup.lift_eq_prod_map
#align free_add_group.lift_eq_sum_map FreeAddGroup.lift_eq_sum_map
section Sum
variable [AddGroup α] (x y : FreeGroup α)
def sum : α :=
@prod (Multiplicative _) _ x
#align free_group.sum FreeGroup.sum
variable {x y}
@[simp]
theorem sum_mk : sum (mk L) = List.sum (L.map fun x => cond x.2 x.1 (-x.1)) :=
rfl
#align free_group.sum_mk FreeGroup.sum_mk
@[simp]
theorem sum.of {x : α} : sum (of x) = x :=
@prod.of _ (_) _
#align free_group.sum.of FreeGroup.sum.of
-- note: there are no bundled homs with different notation in the domain and codomain, so we copy
-- these manually
@[simp]
theorem sum.map_mul : sum (x * y) = sum x + sum y :=
(@prod (Multiplicative _) _).map_mul _ _
#align free_group.sum.map_mul FreeGroup.sum.map_mul
@[simp]
theorem sum.map_one : sum (1 : FreeGroup α) = 0 :=
(@prod (Multiplicative _) _).map_one
#align free_group.sum.map_one FreeGroup.sum.map_one
@[simp]
theorem sum.map_inv : sum x⁻¹ = -sum x :=
(prod : FreeGroup (Multiplicative α) →* Multiplicative α).map_inv _
#align free_group.sum.map_inv FreeGroup.sum.map_inv
end Sum
@[to_additive "The bijection between the additive free group on the empty type, and a type with one
element."]
def freeGroupEmptyEquivUnit : FreeGroup Empty ≃ Unit where
toFun _ := ()
invFun _ := 1
left_inv := by rintro ⟨_ | ⟨⟨⟨⟩, _⟩, _⟩⟩; rfl
right_inv := fun ⟨⟩ => rfl
#align free_group.free_group_empty_equiv_unit FreeGroup.freeGroupEmptyEquivUnit
#align free_add_group.free_add_group_empty_equiv_add_unit FreeAddGroup.freeAddGroupEmptyEquivAddUnit
def freeGroupUnitEquivInt : FreeGroup Unit ≃ ℤ where
toFun x := sum (by
revert x
change (FreeGroup Unit →* FreeGroup ℤ)
apply map fun _ => (1 : ℤ))
invFun x := of () ^ x
left_inv := by
rintro ⟨L⟩
simp only [quot_mk_eq_mk, map.mk, sum_mk, List.map_map]
exact List.recOn L
(by rfl)
(fun ⟨⟨⟩, b⟩ tl ih => by
cases b <;> simp [zpow_add] at ih ⊢ <;> rw [ih] <;> rfl)
right_inv x :=
Int.induction_on x (by simp)
(fun i ih => by
simp only [zpow_natCast, map_pow, map.of] at ih
simp [zpow_add, ih])
(fun i ih => by
simp only [zpow_neg, zpow_natCast, map_inv, map_pow, map.of, sum.map_inv, neg_inj] at ih
simp [zpow_add, ih, sub_eq_add_neg])
#align free_group.free_group_unit_equiv_int FreeGroup.freeGroupUnitEquivInt
section Category
variable {β : Type u}
@[to_additive]
instance : Monad FreeGroup.{u} where
pure {_α} := of
map {_α} {_β} {f} := map f
bind {_α} {_β} {x} {f} := lift f x
@[to_additive (attr := elab_as_elim)]
protected theorem induction_on {C : FreeGroup α → Prop} (z : FreeGroup α) (C1 : C 1)
(Cp : ∀ x, C <| pure x) (Ci : ∀ x, C (pure x) → C (pure x)⁻¹)
(Cm : ∀ x y, C x → C y → C (x * y)) : C z :=
Quot.inductionOn z fun L =>
List.recOn L C1 fun ⟨x, b⟩ _tl ih => Bool.recOn b (Cm _ _ (Ci _ <| Cp x) ih) (Cm _ _ (Cp x) ih)
#align free_group.induction_on FreeGroup.induction_on
#align free_add_group.induction_on FreeAddGroup.induction_on
-- porting note (#10618): simp can prove this: by simp only [@map_pure]
@[to_additive]
theorem map_pure (f : α → β) (x : α) : f <$> (pure x : FreeGroup α) = pure (f x) :=
map.of
#align free_group.map_pure FreeGroup.map_pure
#align free_add_group.map_pure FreeAddGroup.map_pure
@[to_additive (attr := simp)]
theorem map_one (f : α → β) : f <$> (1 : FreeGroup α) = 1 :=
(map f).map_one
#align free_group.map_one FreeGroup.map_one
#align free_add_group.map_zero FreeAddGroup.map_zero
@[to_additive (attr := simp)]
theorem map_mul (f : α → β) (x y : FreeGroup α) : f <$> (x * y) = f <$> x * f <$> y :=
(map f).map_mul x y
#align free_group.map_mul FreeGroup.map_mul
#align free_add_group.map_add FreeAddGroup.map_add
@[to_additive (attr := simp)]
theorem map_inv (f : α → β) (x : FreeGroup α) : f <$> x⁻¹ = (f <$> x)⁻¹ :=
(map f).map_inv x
#align free_group.map_inv FreeGroup.map_inv
#align free_add_group.map_neg FreeAddGroup.map_neg
-- porting note (#10618): simp can prove this: by simp only [@pure_bind]
@[to_additive]
theorem pure_bind (f : α → FreeGroup β) (x) : pure x >>= f = f x :=
lift.of
#align free_group.pure_bind FreeGroup.pure_bind
#align free_add_group.pure_bind FreeAddGroup.pure_bind
@[to_additive (attr := simp)]
theorem one_bind (f : α → FreeGroup β) : 1 >>= f = 1 :=
(lift f).map_one
#align free_group.one_bind FreeGroup.one_bind
#align free_add_group.zero_bind FreeAddGroup.zero_bind
@[to_additive (attr := simp)]
theorem mul_bind (f : α → FreeGroup β) (x y : FreeGroup α) : x * y >>= f = (x >>= f) * (y >>= f) :=
(lift f).map_mul _ _
#align free_group.mul_bind FreeGroup.mul_bind
#align free_add_group.add_bind FreeAddGroup.add_bind
@[to_additive (attr := simp)]
theorem inv_bind (f : α → FreeGroup β) (x : FreeGroup α) : x⁻¹ >>= f = (x >>= f)⁻¹ :=
(lift f).map_inv _
#align free_group.inv_bind FreeGroup.inv_bind
#align free_add_group.neg_bind FreeAddGroup.neg_bind
@[to_additive]
instance : LawfulMonad FreeGroup.{u} := LawfulMonad.mk'
(id_map := fun x =>
FreeGroup.induction_on x (map_one id) (fun x => map_pure id x) (fun x ih => by rw [map_inv, ih])
fun x y ihx ihy => by rw [map_mul, ihx, ihy])
(pure_bind := fun x f => pure_bind f x)
(bind_assoc := fun x =>
FreeGroup.induction_on x
(by intros; iterate 3 rw [one_bind])
(fun x => by intros; iterate 2 rw [pure_bind])
(fun x ih => by intros; (iterate 3 rw [inv_bind]); rw [ih])
(fun x y ihx ihy => by intros; (iterate 3 rw [mul_bind]); rw [ihx, ihy]))
(bind_pure_comp := fun f x =>
FreeGroup.induction_on x (by rw [one_bind, map_one]) (fun x => by rw [pure_bind, map_pure])
(fun x ih => by rw [inv_bind, map_inv, ih]) fun x y ihx ihy => by
rw [mul_bind, map_mul, ihx, ihy])
end Category
@[to_additive "The free additive group over a type, i.e. the words formed by the elements of the
type and their formal inverses, quotient by one step reduction."]
def FreeGroup (α : Type u) : Type u :=
Quot <| @FreeGroup.Red.Step α
#align free_group FreeGroup
#align free_add_group FreeAddGroup
namespace FreeGroup
variable {L L₁ L₂ L₃ L₄ : List (α × Bool)}
@[to_additive "The canonical map from `list (α × bool)` to the free additive group on `α`."]
def mk (L : List (α × Bool)) : FreeGroup α :=
Quot.mk Red.Step L
#align free_group.mk FreeGroup.mk
#align free_add_group.mk FreeAddGroup.mk
@[to_additive (attr := simp)]
theorem quot_mk_eq_mk : Quot.mk Red.Step L = mk L :=
rfl
#align free_group.quot_mk_eq_mk FreeGroup.quot_mk_eq_mk
#align free_add_group.quot_mk_eq_mk FreeAddGroup.quot_mk_eq_mk
@[to_additive (attr := simp)]
theorem quot_lift_mk (β : Type v) (f : List (α × Bool) → β)
(H : ∀ L₁ L₂, Red.Step L₁ L₂ → f L₁ = f L₂) : Quot.lift f H (mk L) = f L :=
rfl
#align free_group.quot_lift_mk FreeGroup.quot_lift_mk
#align free_add_group.quot_lift_mk FreeAddGroup.quot_lift_mk
@[to_additive (attr := simp)]
theorem quot_liftOn_mk (β : Type v) (f : List (α × Bool) → β)
(H : ∀ L₁ L₂, Red.Step L₁ L₂ → f L₁ = f L₂) : Quot.liftOn (mk L) f H = f L :=
rfl
#align free_group.quot_lift_on_mk FreeGroup.quot_liftOn_mk
#align free_add_group.quot_lift_on_mk FreeAddGroup.quot_liftOn_mk
@[to_additive (attr := simp)]
theorem quot_map_mk (β : Type v) (f : List (α × Bool) → List (β × Bool))
(H : (Red.Step ⇒ Red.Step) f f) : Quot.map f H (mk L) = mk (f L) :=
rfl
#align free_group.quot_map_mk FreeGroup.quot_map_mk
#align free_add_group.quot_map_mk FreeAddGroup.quot_map_mk
@[to_additive]
instance : One (FreeGroup α) :=
⟨mk []⟩
@[to_additive]
theorem one_eq_mk : (1 : FreeGroup α) = mk [] :=
rfl
#align free_group.one_eq_mk FreeGroup.one_eq_mk
#align free_add_group.zero_eq_mk FreeAddGroup.zero_eq_mk
@[to_additive]
instance : Inhabited (FreeGroup α) :=
⟨1⟩
@[to_additive]
instance [IsEmpty α] : Unique (FreeGroup α) := by unfold FreeGroup; infer_instance
@[to_additive]
instance : Mul (FreeGroup α) :=
⟨fun x y =>
Quot.liftOn x
(fun L₁ =>
Quot.liftOn y (fun L₂ => mk <| L₁ ++ L₂) fun _L₂ _L₃ H =>
Quot.sound <| Red.Step.append_left H)
fun _L₁ _L₂ H => Quot.inductionOn y fun _L₃ => Quot.sound <| Red.Step.append_right H⟩
@[to_additive (attr := simp)]
theorem mul_mk : mk L₁ * mk L₂ = mk (L₁ ++ L₂) :=
rfl
#align free_group.mul_mk FreeGroup.mul_mk
#align free_add_group.add_mk FreeAddGroup.add_mk
@[to_additive "Transform a word representing a free group element into a word representing its
negative."]
def invRev (w : List (α × Bool)) : List (α × Bool) :=
(List.map (fun g : α × Bool => (g.1, not g.2)) w).reverse
#align free_group.inv_rev FreeGroup.invRev
#align free_add_group.neg_rev FreeAddGroup.negRev
@[to_additive (attr := simp)]
theorem invRev_length : (invRev L₁).length = L₁.length := by simp [invRev]
#align free_group.inv_rev_length FreeGroup.invRev_length
#align free_add_group.neg_rev_length FreeAddGroup.negRev_length
@[to_additive (attr := simp)]
theorem invRev_invRev : invRev (invRev L₁) = L₁ := by
simp [invRev, List.map_reverse, (· ∘ ·)]
#align free_group.inv_rev_inv_rev FreeGroup.invRev_invRev
#align free_add_group.neg_rev_neg_rev FreeAddGroup.negRev_negRev
@[to_additive (attr := simp)]
theorem invRev_empty : invRev ([] : List (α × Bool)) = [] :=
rfl
#align free_group.inv_rev_empty FreeGroup.invRev_empty
#align free_add_group.neg_rev_empty FreeAddGroup.negRev_empty
@[to_additive]
theorem invRev_involutive : Function.Involutive (@invRev α) := fun _ => invRev_invRev
#align free_group.inv_rev_involutive FreeGroup.invRev_involutive
#align free_add_group.neg_rev_involutive FreeAddGroup.negRev_involutive
@[to_additive]
theorem invRev_injective : Function.Injective (@invRev α) :=
invRev_involutive.injective
#align free_group.inv_rev_injective FreeGroup.invRev_injective
#align free_add_group.neg_rev_injective FreeAddGroup.negRev_injective
@[to_additive]
theorem invRev_surjective : Function.Surjective (@invRev α) :=
invRev_involutive.surjective
#align free_group.inv_rev_surjective FreeGroup.invRev_surjective
#align free_add_group.neg_rev_surjective FreeAddGroup.negRev_surjective
@[to_additive]
theorem invRev_bijective : Function.Bijective (@invRev α) :=
invRev_involutive.bijective
#align free_group.inv_rev_bijective FreeGroup.invRev_bijective
#align free_add_group.neg_rev_bijective FreeAddGroup.negRev_bijective
@[to_additive]
instance : Inv (FreeGroup α) :=
⟨Quot.map invRev
(by
intro a b h
cases h
simp [invRev])⟩
@[to_additive (attr := simp)]
theorem inv_mk : (mk L)⁻¹ = mk (invRev L) :=
rfl
#align free_group.inv_mk FreeGroup.inv_mk
#align free_add_group.neg_mk FreeAddGroup.neg_mk
@[to_additive]
theorem Red.Step.invRev {L₁ L₂ : List (α × Bool)} (h : Red.Step L₁ L₂) :
Red.Step (FreeGroup.invRev L₁) (FreeGroup.invRev L₂) := by
cases' h with a b x y
simp [FreeGroup.invRev]
#align free_group.red.step.inv_rev FreeGroup.Red.Step.invRev
#align free_add_group.red.step.neg_rev FreeAddGroup.Red.Step.negRev
@[to_additive]
theorem Red.invRev {L₁ L₂ : List (α × Bool)} (h : Red L₁ L₂) : Red (invRev L₁) (invRev L₂) :=
Relation.ReflTransGen.lift _ (fun _a _b => Red.Step.invRev) h
#align free_group.red.inv_rev FreeGroup.Red.invRev
#align free_add_group.red.neg_rev FreeAddGroup.Red.negRev
@[to_additive (attr := simp)]
theorem Red.step_invRev_iff :
Red.Step (FreeGroup.invRev L₁) (FreeGroup.invRev L₂) ↔ Red.Step L₁ L₂ :=
⟨fun h => by simpa only [invRev_invRev] using h.invRev, fun h => h.invRev⟩
#align free_group.red.step_inv_rev_iff FreeGroup.Red.step_invRev_iff
#align free_add_group.red.step_neg_rev_iff FreeAddGroup.Red.step_negRev_iff
@[to_additive (attr := simp)]
theorem red_invRev_iff : Red (invRev L₁) (invRev L₂) ↔ Red L₁ L₂ :=
⟨fun h => by simpa only [invRev_invRev] using h.invRev, fun h => h.invRev⟩
#align free_group.red_inv_rev_iff FreeGroup.red_invRev_iff
#align free_add_group.red_neg_rev_iff FreeAddGroup.red_negRev_iff
@[to_additive]
instance : Group (FreeGroup α) where
mul := (· * ·)
one := 1
inv := Inv.inv
mul_assoc := by rintro ⟨L₁⟩ ⟨L₂⟩ ⟨L₃⟩; simp
one_mul := by rintro ⟨L⟩; rfl
mul_one := by rintro ⟨L⟩; simp [one_eq_mk]
mul_left_inv := by
rintro ⟨L⟩
exact
List.recOn L rfl fun ⟨x, b⟩ tl ih =>
Eq.trans (Quot.sound <| by simp [invRev, one_eq_mk]) ih
@[to_additive "`of` is the canonical injection from the type to the free group over that type
by sending each element to the equivalence class of the letter that is the element."]
def of (x : α) : FreeGroup α :=
mk [(x, true)]
#align free_group.of FreeGroup.of
#align free_add_group.of FreeAddGroup.of
@[to_additive]
theorem Red.exact : mk L₁ = mk L₂ ↔ Join Red L₁ L₂ :=
calc
mk L₁ = mk L₂ ↔ EqvGen Red.Step L₁ L₂ := Iff.intro (Quot.exact _) Quot.EqvGen_sound
_ ↔ Join Red L₁ L₂ := eqvGen_step_iff_join_red
#align free_group.red.exact FreeGroup.Red.exact
#align free_add_group.red.exact FreeAddGroup.Red.exact
@[to_additive "The canonical map from the type to the additive free group is an injection."]
theorem of_injective : Function.Injective (@of α) := fun _ _ H => by
let ⟨L₁, hx, hy⟩ := Red.exact.1 H
simp [Red.singleton_iff] at hx hy; aesop
#align free_group.of_injective FreeGroup.of_injective
#align free_add_group.of_injective FreeAddGroup.of_injective
@[to_additive]
theorem lift_eq_prod_map {β : Type v} [Group β] {f : α → β} {x} : lift f x = prod (map f x) := by
rw [← lift.unique (prod.comp (map f))]
· rfl
· simp
#align free_group.lift_eq_prod_map FreeGroup.lift_eq_prod_map
#align free_add_group.lift_eq_sum_map FreeAddGroup.lift_eq_sum_map
@[to_additive "The bijection between the additive free group on the empty type, and a type with one
element."]
def freeGroupEmptyEquivUnit : FreeGroup Empty ≃ Unit where
toFun _ := ()
invFun _ := 1
left_inv := by rintro ⟨_ | ⟨⟨⟨⟩, _⟩, _⟩⟩; rfl
right_inv := fun ⟨⟩ => rfl
#align free_group.free_group_empty_equiv_unit FreeGroup.freeGroupEmptyEquivUnit
#align free_add_group.free_add_group_empty_equiv_add_unit FreeAddGroup.freeAddGroupEmptyEquivAddUnit
def freeGroupUnitEquivInt : FreeGroup Unit ≃ ℤ where
toFun x := sum (by
revert x
change (FreeGroup Unit →* FreeGroup ℤ)
apply map fun _ => (1 : ℤ))
invFun x := of () ^ x
left_inv := by
rintro ⟨L⟩
simp only [quot_mk_eq_mk, map.mk, sum_mk, List.map_map]
exact List.recOn L
(by rfl)
(fun ⟨⟨⟩, b⟩ tl ih => by
cases b <;> simp [zpow_add] at ih ⊢ <;> rw [ih] <;> rfl)
right_inv x :=
Int.induction_on x (by simp)
(fun i ih => by
simp only [zpow_natCast, map_pow, map.of] at ih
simp [zpow_add, ih])
(fun i ih => by
simp only [zpow_neg, zpow_natCast, map_inv, map_pow, map.of, sum.map_inv, neg_inj] at ih
simp [zpow_add, ih, sub_eq_add_neg])
#align free_group.free_group_unit_equiv_int FreeGroup.freeGroupUnitEquivInt
section Reduce
variable [DecidableEq α]
@[to_additive "The maximal reduction of a word. It is computable iff `α` has decidable equality."]
def reduce : (L : List (α × Bool)) -> List (α × Bool) :=
List.rec [] fun hd1 _tl1 ih =>
List.casesOn ih [hd1] fun hd2 tl2 =>
if hd1.1 = hd2.1 ∧ hd1.2 = not hd2.2 then tl2 else hd1 :: hd2 :: tl2
#align free_group.reduce FreeGroup.reduce
#align free_add_group.reduce FreeAddGroup.reduce
@[to_additive (attr := simp)]
theorem reduce.cons (x) :
reduce (x :: L) =
List.casesOn (reduce L) [x] fun hd tl =>
if x.1 = hd.1 ∧ x.2 = not hd.2 then tl else x :: hd :: tl :=
rfl
#align free_group.reduce.cons FreeGroup.reduce.cons
#align free_add_group.reduce.cons FreeAddGroup.reduce.cons
@[to_additive "The first theorem that characterises the function `reduce`: a word reduces to its
maximal reduction."]
theorem reduce.red : Red L (reduce L) := by
induction L with
| nil => constructor
| cons hd1 tl1 ih =>
dsimp
revert ih
generalize htl : reduce tl1 = TL
intro ih
cases TL with
| nil => exact Red.cons_cons ih
| cons hd2 tl2 =>
dsimp only
split_ifs with h
· cases hd1
cases hd2
cases h
dsimp at *
subst_vars
apply Red.trans (Red.cons_cons ih)
exact Red.Step.cons_not_rev.to_red
· exact Red.cons_cons ih
#align free_group.reduce.red FreeGroup.reduce.red
#align free_add_group.reduce.red FreeAddGroup.reduce.red
@[to_additive]
theorem reduce.not {p : Prop} :
∀ {L₁ L₂ L₃ : List (α × Bool)} {x b}, reduce L₁ = L₂ ++ (x, b) :: (x, !b) :: L₃ → p
| [], L2, L3, _, _ => fun h => by cases L2 <;> injections
| (x, b) :: L1, L2, L3, x', b' => by
dsimp
cases r : reduce L1 with
| nil =>
dsimp; intro h
exfalso
have := congr_arg List.length h
simp? [List.length] at this says
simp only [List.length, zero_add, List.length_append] at this
rw [add_comm, add_assoc, add_assoc, add_comm, <-add_assoc] at this
omega
| cons hd tail =>
cases' hd with y c
dsimp only
split_ifs with h <;> intro H
· rw [H] at r
exact @reduce.not _ L1 ((y, c) :: L2) L3 x' b' r
rcases L2 with (_ | ⟨a, L2⟩)
· injections; subst_vars
simp at h
· refine @reduce.not _ L1 L2 L3 x' b' ?_
injection H with _ H
rw [r, H]; rfl
#align free_group.reduce.not FreeGroup.reduce.not
#align free_add_group.reduce.not FreeAddGroup.reduce.not
@[to_additive "The second theorem that characterises the function `reduce`: the maximal reduction of
a word only reduces to itself."]
theorem reduce.min (H : Red (reduce L₁) L₂) : reduce L₁ = L₂ := by
induction' H with L1 L' L2 H1 H2 ih
· rfl
· cases' H1 with L4 L5 x b
exact reduce.not H2
#align free_group.reduce.min FreeGroup.reduce.min
#align free_add_group.reduce.min FreeAddGroup.reduce.min
@[to_additive (attr := simp) "`reduce` is idempotent, i.e. the maximal reduction of the maximal
reduction of a word is the maximal reduction of the word."]
theorem reduce.idem : reduce (reduce L) = reduce L :=
Eq.symm <| reduce.min reduce.red
#align free_group.reduce.idem FreeGroup.reduce.idem
#align free_add_group.reduce.idem FreeAddGroup.reduce.idem
@[to_additive]
theorem reduce.Step.eq (H : Red.Step L₁ L₂) : reduce L₁ = reduce L₂ :=
let ⟨_L₃, HR13, HR23⟩ := Red.church_rosser reduce.red (reduce.red.head H)
(reduce.min HR13).trans (reduce.min HR23).symm
#align free_group.reduce.step.eq FreeGroup.reduce.Step.eq
#align free_add_group.reduce.step.eq FreeAddGroup.reduce.Step.eq
@[to_additive "If a word reduces to another word, then they have a common maximal reduction."]
theorem reduce.eq_of_red (H : Red L₁ L₂) : reduce L₁ = reduce L₂ :=
let ⟨_L₃, HR13, HR23⟩ := Red.church_rosser reduce.red (Red.trans H reduce.red)
(reduce.min HR13).trans (reduce.min HR23).symm
#align free_group.reduce.eq_of_red FreeGroup.reduce.eq_of_red
#align free_add_group.reduce.eq_of_red FreeAddGroup.reduce.eq_of_red
alias red.reduce_eq := reduce.eq_of_red
#align free_group.red.reduce_eq FreeGroup.red.reduce_eq
alias freeAddGroup.red.reduce_eq := FreeAddGroup.reduce.eq_of_red
#align free_group.free_add_group.red.reduce_eq FreeGroup.freeAddGroup.red.reduce_eq
@[to_additive]
theorem Red.reduce_right (h : Red L₁ L₂) : Red L₁ (reduce L₂) :=
reduce.eq_of_red h ▸ reduce.red
#align free_group.red.reduce_right FreeGroup.Red.reduce_right
#align free_add_group.red.reduce_right FreeAddGroup.Red.reduce_right
@[to_additive]
theorem Red.reduce_left (h : Red L₁ L₂) : Red L₂ (reduce L₁) :=
(reduce.eq_of_red h).symm ▸ reduce.red
#align free_group.red.reduce_left FreeGroup.Red.reduce_left
#align free_add_group.red.reduce_left FreeAddGroup.Red.reduce_left
@[to_additive "If two words correspond to the same element in the additive free group, then they
have a common maximal reduction. This is the proof that the function that sends an element of the
free group to its maximal reduction is well-defined."]
theorem reduce.sound (H : mk L₁ = mk L₂) : reduce L₁ = reduce L₂ :=
let ⟨_L₃, H13, H23⟩ := Red.exact.1 H
(reduce.eq_of_red H13).trans (reduce.eq_of_red H23).symm
#align free_group.reduce.sound FreeGroup.reduce.sound
#align free_add_group.reduce.sound FreeAddGroup.reduce.sound
@[to_additive "If two words have a common maximal reduction, then they correspond to the same
element in the additive free group."]
theorem reduce.exact (H : reduce L₁ = reduce L₂) : mk L₁ = mk L₂ :=
Red.exact.2 ⟨reduce L₂, H ▸ reduce.red, reduce.red⟩
#align free_group.reduce.exact FreeGroup.reduce.exact
#align free_add_group.reduce.exact FreeAddGroup.reduce.exact
@[to_additive "A word and its maximal reduction correspond to the same element of the additive free
group."]
theorem reduce.self : mk (reduce L) = mk L :=
reduce.exact reduce.idem
#align free_group.reduce.self FreeGroup.reduce.self
#align free_add_group.reduce.self FreeAddGroup.reduce.self
@[to_additive "If words `w₁ w₂` are such that `w₁` reduces to `w₂`, then `w₂` reduces to the maximal
reduction of `w₁`."]
theorem reduce.rev (H : Red L₁ L₂) : Red L₂ (reduce L₁) :=
(reduce.eq_of_red H).symm ▸ reduce.red
#align free_group.reduce.rev FreeGroup.reduce.rev
#align free_add_group.reduce.rev FreeAddGroup.reduce.rev
@[to_additive "The function that sends an element of the additive free group to its maximal
reduction."]
def toWord : FreeGroup α → List (α × Bool) :=
Quot.lift reduce fun _L₁ _L₂ H => reduce.Step.eq H
#align free_group.to_word FreeGroup.toWord
#align free_add_group.to_word FreeAddGroup.toWord
@[to_additive]
theorem mk_toWord : ∀ {x : FreeGroup α}, mk (toWord x) = x := by rintro ⟨L⟩; exact reduce.self
#align free_group.mk_to_word FreeGroup.mk_toWord
#align free_add_group.mk_to_word FreeAddGroup.mk_toWord
@[to_additive]
| Mathlib/GroupTheory/FreeGroup/Basic.lean | 1,295 | 1,296 | theorem toWord_injective : Function.Injective (toWord : FreeGroup α → List (α × Bool)) := by |
rintro ⟨L₁⟩ ⟨L₂⟩; exact reduce.exact
|
import Mathlib.Topology.EMetricSpace.Basic
import Mathlib.Topology.Bornology.Constructions
import Mathlib.Data.Set.Pointwise.Interval
import Mathlib.Topology.Order.DenselyOrdered
open Set Filter TopologicalSpace Bornology
open scoped ENNReal NNReal Uniformity Topology
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
theorem UniformSpace.ofDist_aux (ε : ℝ) (hε : 0 < ε) : ∃ δ > (0 : ℝ), ∀ x < δ, ∀ y < δ, x + y < ε :=
⟨ε / 2, half_pos hε, fun _x hx _y hy => add_halves ε ▸ add_lt_add hx hy⟩
def UniformSpace.ofDist (dist : α → α → ℝ) (dist_self : ∀ x : α, dist x x = 0)
(dist_comm : ∀ x y : α, dist x y = dist y x)
(dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) : UniformSpace α :=
.ofFun dist dist_self dist_comm dist_triangle ofDist_aux
#align uniform_space_of_dist UniformSpace.ofDist
-- Porting note: dropped the `dist_self` argument
abbrev Bornology.ofDist {α : Type*} (dist : α → α → ℝ) (dist_comm : ∀ x y, dist x y = dist y x)
(dist_triangle : ∀ x y z, dist x z ≤ dist x y + dist y z) : Bornology α :=
Bornology.ofBounded { s : Set α | ∃ C, ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → dist x y ≤ C }
⟨0, fun x hx y => hx.elim⟩ (fun s ⟨c, hc⟩ t h => ⟨c, fun x hx y hy => hc (h hx) (h hy)⟩)
(fun s hs t ht => by
rcases s.eq_empty_or_nonempty with rfl | ⟨x, hx⟩
· rwa [empty_union]
rcases t.eq_empty_or_nonempty with rfl | ⟨y, hy⟩
· rwa [union_empty]
rsuffices ⟨C, hC⟩ : ∃ C, ∀ z ∈ s ∪ t, dist x z ≤ C
· refine ⟨C + C, fun a ha b hb => (dist_triangle a x b).trans ?_⟩
simpa only [dist_comm] using add_le_add (hC _ ha) (hC _ hb)
rcases hs with ⟨Cs, hs⟩; rcases ht with ⟨Ct, ht⟩
refine ⟨max Cs (dist x y + Ct), fun z hz => hz.elim
(fun hz => (hs hx hz).trans (le_max_left _ _))
(fun hz => (dist_triangle x y z).trans <|
(add_le_add le_rfl (ht hy hz)).trans (le_max_right _ _))⟩)
fun z => ⟨dist z z, forall_eq.2 <| forall_eq.2 le_rfl⟩
#align bornology.of_dist Bornology.ofDistₓ
@[ext]
class Dist (α : Type*) where
dist : α → α → ℝ
#align has_dist Dist
export Dist (dist)
-- the uniform structure and the emetric space structure are embedded in the metric space structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
private theorem dist_nonneg' {α} {x y : α} (dist : α → α → ℝ)
(dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x)
(dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) : 0 ≤ dist x y :=
have : 0 ≤ 2 * dist x y :=
calc 0 = dist x x := (dist_self _).symm
_ ≤ dist x y + dist y x := dist_triangle _ _ _
_ = 2 * dist x y := by rw [two_mul, dist_comm]
nonneg_of_mul_nonneg_right this two_pos
#noalign pseudo_metric_space.edist_dist_tac -- Porting note (#11215): TODO: restore
class PseudoMetricSpace (α : Type u) extends Dist α : Type u where
dist_self : ∀ x : α, dist x x = 0
dist_comm : ∀ x y : α, dist x y = dist y x
dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z
edist : α → α → ℝ≥0∞ := fun x y => ENNReal.ofNNReal ⟨dist x y, dist_nonneg' _ ‹_› ‹_› ‹_›⟩
edist_dist : ∀ x y : α, edist x y = ENNReal.ofReal (dist x y)
-- Porting note (#11215): TODO: add := by _
toUniformSpace : UniformSpace α := .ofDist dist dist_self dist_comm dist_triangle
uniformity_dist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | dist p.1 p.2 < ε } := by intros; rfl
toBornology : Bornology α := Bornology.ofDist dist dist_comm dist_triangle
cobounded_sets : (Bornology.cobounded α).sets =
{ s | ∃ C : ℝ, ∀ x ∈ sᶜ, ∀ y ∈ sᶜ, dist x y ≤ C } := by intros; rfl
#align pseudo_metric_space PseudoMetricSpace
@[ext]
theorem PseudoMetricSpace.ext {α : Type*} {m m' : PseudoMetricSpace α}
(h : m.toDist = m'.toDist) : m = m' := by
cases' m with d _ _ _ ed hed U hU B hB
cases' m' with d' _ _ _ ed' hed' U' hU' B' hB'
obtain rfl : d = d' := h
congr
· ext x y : 2
rw [hed, hed']
· exact UniformSpace.ext (hU.trans hU'.symm)
· ext : 2
rw [← Filter.mem_sets, ← Filter.mem_sets, hB, hB']
#align pseudo_metric_space.ext PseudoMetricSpace.ext
variable [PseudoMetricSpace α]
attribute [instance] PseudoMetricSpace.toUniformSpace PseudoMetricSpace.toBornology
-- see Note [lower instance priority]
instance (priority := 200) PseudoMetricSpace.toEDist : EDist α :=
⟨PseudoMetricSpace.edist⟩
#align pseudo_metric_space.to_has_edist PseudoMetricSpace.toEDist
def PseudoMetricSpace.ofDistTopology {α : Type u} [TopologicalSpace α] (dist : α → α → ℝ)
(dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x)
(dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z)
(H : ∀ s : Set α, IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ∀ y, dist x y < ε → y ∈ s) :
PseudoMetricSpace α :=
{ dist := dist
dist_self := dist_self
dist_comm := dist_comm
dist_triangle := dist_triangle
edist_dist := fun x y => by exact ENNReal.coe_nnreal_eq _
toUniformSpace :=
(UniformSpace.ofDist dist dist_self dist_comm dist_triangle).replaceTopology <|
TopologicalSpace.ext_iff.2 fun s ↦ (H s).trans <| forall₂_congr fun x _ ↦
((UniformSpace.hasBasis_ofFun (exists_gt (0 : ℝ)) dist dist_self dist_comm dist_triangle
UniformSpace.ofDist_aux).comap (Prod.mk x)).mem_iff.symm
uniformity_dist := rfl
toBornology := Bornology.ofDist dist dist_comm dist_triangle
cobounded_sets := rfl }
#align pseudo_metric_space.of_dist_topology PseudoMetricSpace.ofDistTopology
@[simp]
theorem dist_self (x : α) : dist x x = 0 :=
PseudoMetricSpace.dist_self x
#align dist_self dist_self
theorem dist_comm (x y : α) : dist x y = dist y x :=
PseudoMetricSpace.dist_comm x y
#align dist_comm dist_comm
theorem edist_dist (x y : α) : edist x y = ENNReal.ofReal (dist x y) :=
PseudoMetricSpace.edist_dist x y
#align edist_dist edist_dist
theorem dist_triangle (x y z : α) : dist x z ≤ dist x y + dist y z :=
PseudoMetricSpace.dist_triangle x y z
#align dist_triangle dist_triangle
theorem dist_triangle_left (x y z : α) : dist x y ≤ dist z x + dist z y := by
rw [dist_comm z]; apply dist_triangle
#align dist_triangle_left dist_triangle_left
theorem dist_triangle_right (x y z : α) : dist x y ≤ dist x z + dist y z := by
rw [dist_comm y]; apply dist_triangle
#align dist_triangle_right dist_triangle_right
theorem dist_triangle4 (x y z w : α) : dist x w ≤ dist x y + dist y z + dist z w :=
calc
dist x w ≤ dist x z + dist z w := dist_triangle x z w
_ ≤ dist x y + dist y z + dist z w := add_le_add_right (dist_triangle x y z) _
#align dist_triangle4 dist_triangle4
theorem dist_triangle4_left (x₁ y₁ x₂ y₂ : α) :
dist x₂ y₂ ≤ dist x₁ y₁ + (dist x₁ x₂ + dist y₁ y₂) := by
rw [add_left_comm, dist_comm x₁, ← add_assoc]
apply dist_triangle4
#align dist_triangle4_left dist_triangle4_left
theorem dist_triangle4_right (x₁ y₁ x₂ y₂ : α) :
dist x₁ y₁ ≤ dist x₁ x₂ + dist y₁ y₂ + dist x₂ y₂ := by
rw [add_right_comm, dist_comm y₁]
apply dist_triangle4
#align dist_triangle4_right dist_triangle4_right
theorem dist_le_Ico_sum_dist (f : ℕ → α) {m n} (h : m ≤ n) :
dist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, dist (f i) (f (i + 1)) := by
induction n, h using Nat.le_induction with
| base => rw [Finset.Ico_self, Finset.sum_empty, dist_self]
| succ n hle ihn =>
calc
dist (f m) (f (n + 1)) ≤ dist (f m) (f n) + dist (f n) (f (n + 1)) := dist_triangle _ _ _
_ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl
_ = ∑ i ∈ Finset.Ico m (n + 1), _ := by
{ rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp }
#align dist_le_Ico_sum_dist dist_le_Ico_sum_dist
theorem dist_le_range_sum_dist (f : ℕ → α) (n : ℕ) :
dist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, dist (f i) (f (i + 1)) :=
Nat.Ico_zero_eq_range ▸ dist_le_Ico_sum_dist f (Nat.zero_le n)
#align dist_le_range_sum_dist dist_le_range_sum_dist
theorem dist_le_Ico_sum_of_dist_le {f : ℕ → α} {m n} (hmn : m ≤ n) {d : ℕ → ℝ}
(hd : ∀ {k}, m ≤ k → k < n → dist (f k) (f (k + 1)) ≤ d k) :
dist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, d i :=
le_trans (dist_le_Ico_sum_dist f hmn) <|
Finset.sum_le_sum fun _k hk => hd (Finset.mem_Ico.1 hk).1 (Finset.mem_Ico.1 hk).2
#align dist_le_Ico_sum_of_dist_le dist_le_Ico_sum_of_dist_le
theorem dist_le_range_sum_of_dist_le {f : ℕ → α} (n : ℕ) {d : ℕ → ℝ}
(hd : ∀ {k}, k < n → dist (f k) (f (k + 1)) ≤ d k) :
dist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, d i :=
Nat.Ico_zero_eq_range ▸ dist_le_Ico_sum_of_dist_le (zero_le n) fun _ => hd
#align dist_le_range_sum_of_dist_le dist_le_range_sum_of_dist_le
theorem swap_dist : Function.swap (@dist α _) = dist := by funext x y; exact dist_comm _ _
#align swap_dist swap_dist
theorem abs_dist_sub_le (x y z : α) : |dist x z - dist y z| ≤ dist x y :=
abs_sub_le_iff.2
⟨sub_le_iff_le_add.2 (dist_triangle _ _ _), sub_le_iff_le_add.2 (dist_triangle_left _ _ _)⟩
#align abs_dist_sub_le abs_dist_sub_le
theorem dist_nonneg {x y : α} : 0 ≤ dist x y :=
dist_nonneg' dist dist_self dist_comm dist_triangle
#align dist_nonneg dist_nonneg
example {x y : α} : 0 ≤ dist x y := by positivity
@[simp] theorem abs_dist {a b : α} : |dist a b| = dist a b := abs_of_nonneg dist_nonneg
#align abs_dist abs_dist
class NNDist (α : Type*) where
nndist : α → α → ℝ≥0
#align has_nndist NNDist
export NNDist (nndist)
-- see Note [lower instance priority]
instance (priority := 100) PseudoMetricSpace.toNNDist : NNDist α :=
⟨fun a b => ⟨dist a b, dist_nonneg⟩⟩
#align pseudo_metric_space.to_has_nndist PseudoMetricSpace.toNNDist
theorem dist_nndist (x y : α) : dist x y = nndist x y := rfl
#align dist_nndist dist_nndist
@[simp, norm_cast]
theorem coe_nndist (x y : α) : ↑(nndist x y) = dist x y := rfl
#align coe_nndist coe_nndist
theorem edist_nndist (x y : α) : edist x y = nndist x y := by
rw [edist_dist, dist_nndist, ENNReal.ofReal_coe_nnreal]
#align edist_nndist edist_nndist
theorem nndist_edist (x y : α) : nndist x y = (edist x y).toNNReal := by
simp [edist_nndist]
#align nndist_edist nndist_edist
@[simp, norm_cast]
theorem coe_nnreal_ennreal_nndist (x y : α) : ↑(nndist x y) = edist x y :=
(edist_nndist x y).symm
#align coe_nnreal_ennreal_nndist coe_nnreal_ennreal_nndist
@[simp, norm_cast]
theorem edist_lt_coe {x y : α} {c : ℝ≥0} : edist x y < c ↔ nndist x y < c := by
rw [edist_nndist, ENNReal.coe_lt_coe]
#align edist_lt_coe edist_lt_coe
@[simp, norm_cast]
theorem edist_le_coe {x y : α} {c : ℝ≥0} : edist x y ≤ c ↔ nndist x y ≤ c := by
rw [edist_nndist, ENNReal.coe_le_coe]
#align edist_le_coe edist_le_coe
theorem edist_lt_top {α : Type*} [PseudoMetricSpace α] (x y : α) : edist x y < ⊤ :=
(edist_dist x y).symm ▸ ENNReal.ofReal_lt_top
#align edist_lt_top edist_lt_top
theorem edist_ne_top (x y : α) : edist x y ≠ ⊤ :=
(edist_lt_top x y).ne
#align edist_ne_top edist_ne_top
@[simp] theorem nndist_self (a : α) : nndist a a = 0 := NNReal.coe_eq_zero.1 (dist_self a)
#align nndist_self nndist_self
-- Porting note: `dist_nndist` and `coe_nndist` moved up
@[simp, norm_cast]
theorem dist_lt_coe {x y : α} {c : ℝ≥0} : dist x y < c ↔ nndist x y < c :=
Iff.rfl
#align dist_lt_coe dist_lt_coe
@[simp, norm_cast]
theorem dist_le_coe {x y : α} {c : ℝ≥0} : dist x y ≤ c ↔ nndist x y ≤ c :=
Iff.rfl
#align dist_le_coe dist_le_coe
@[simp]
theorem edist_lt_ofReal {x y : α} {r : ℝ} : edist x y < ENNReal.ofReal r ↔ dist x y < r := by
rw [edist_dist, ENNReal.ofReal_lt_ofReal_iff_of_nonneg dist_nonneg]
#align edist_lt_of_real edist_lt_ofReal
@[simp]
theorem edist_le_ofReal {x y : α} {r : ℝ} (hr : 0 ≤ r) :
edist x y ≤ ENNReal.ofReal r ↔ dist x y ≤ r := by
rw [edist_dist, ENNReal.ofReal_le_ofReal_iff hr]
#align edist_le_of_real edist_le_ofReal
theorem nndist_dist (x y : α) : nndist x y = Real.toNNReal (dist x y) := by
rw [dist_nndist, Real.toNNReal_coe]
#align nndist_dist nndist_dist
theorem nndist_comm (x y : α) : nndist x y = nndist y x := NNReal.eq <| dist_comm x y
#align nndist_comm nndist_comm
theorem nndist_triangle (x y z : α) : nndist x z ≤ nndist x y + nndist y z :=
dist_triangle _ _ _
#align nndist_triangle nndist_triangle
theorem nndist_triangle_left (x y z : α) : nndist x y ≤ nndist z x + nndist z y :=
dist_triangle_left _ _ _
#align nndist_triangle_left nndist_triangle_left
theorem nndist_triangle_right (x y z : α) : nndist x y ≤ nndist x z + nndist y z :=
dist_triangle_right _ _ _
#align nndist_triangle_right nndist_triangle_right
theorem dist_edist (x y : α) : dist x y = (edist x y).toReal := by
rw [edist_dist, ENNReal.toReal_ofReal dist_nonneg]
#align dist_edist dist_edist
open Metric
-- Porting note (#10756): new theorem
theorem Metric.uniformity_edist_aux {α} (d : α → α → ℝ≥0) :
⨅ ε > (0 : ℝ), 𝓟 { p : α × α | ↑(d p.1 p.2) < ε } =
⨅ ε > (0 : ℝ≥0∞), 𝓟 { p : α × α | ↑(d p.1 p.2) < ε } := by
simp only [le_antisymm_iff, le_iInf_iff, le_principal_iff]
refine ⟨fun ε hε => ?_, fun ε hε => ?_⟩
· rcases ENNReal.lt_iff_exists_nnreal_btwn.1 hε with ⟨ε', ε'0, ε'ε⟩
refine mem_iInf_of_mem (ε' : ℝ) (mem_iInf_of_mem (ENNReal.coe_pos.1 ε'0) ?_)
exact fun x hx => lt_trans (ENNReal.coe_lt_coe.2 hx) ε'ε
· lift ε to ℝ≥0 using le_of_lt hε
refine mem_iInf_of_mem (ε : ℝ≥0∞) (mem_iInf_of_mem (ENNReal.coe_pos.2 hε) ?_)
exact fun _ => ENNReal.coe_lt_coe.1
theorem Metric.uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by
simp only [PseudoMetricSpace.uniformity_dist, dist_nndist, edist_nndist,
Metric.uniformity_edist_aux]
#align metric.uniformity_edist Metric.uniformity_edist
-- see Note [lower instance priority]
instance (priority := 100) PseudoMetricSpace.toPseudoEMetricSpace : PseudoEMetricSpace α :=
{ ‹PseudoMetricSpace α› with
edist_self := by simp [edist_dist]
edist_comm := fun _ _ => by simp only [edist_dist, dist_comm]
edist_triangle := fun x y z => by
simp only [edist_dist, ← ENNReal.ofReal_add, dist_nonneg]
rw [ENNReal.ofReal_le_ofReal_iff _]
· exact dist_triangle _ _ _
· simpa using add_le_add (dist_nonneg : 0 ≤ dist x y) dist_nonneg
uniformity_edist := Metric.uniformity_edist }
#align pseudo_metric_space.to_pseudo_emetric_space PseudoMetricSpace.toPseudoEMetricSpace
@[deprecated _root_.uniformity_basis_edist]
protected theorem Metric.uniformity_basis_edist :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p | edist p.1 p.2 < ε } :=
uniformity_basis_edist
#align pseudo_metric.uniformity_basis_edist Metric.uniformity_basis_edist
theorem Metric.eball_top_eq_univ (x : α) : EMetric.ball x ∞ = Set.univ :=
Set.eq_univ_iff_forall.mpr fun y => edist_lt_top y x
#align metric.eball_top_eq_univ Metric.eball_top_eq_univ
@[simp]
theorem Metric.emetric_ball {x : α} {ε : ℝ} : EMetric.ball x (ENNReal.ofReal ε) = ball x ε := by
ext y
simp only [EMetric.mem_ball, mem_ball, edist_dist]
exact ENNReal.ofReal_lt_ofReal_iff_of_nonneg dist_nonneg
#align metric.emetric_ball Metric.emetric_ball
@[simp]
theorem Metric.emetric_ball_nnreal {x : α} {ε : ℝ≥0} : EMetric.ball x ε = ball x ε := by
rw [← Metric.emetric_ball]
simp
#align metric.emetric_ball_nnreal Metric.emetric_ball_nnreal
theorem Metric.emetric_closedBall {x : α} {ε : ℝ} (h : 0 ≤ ε) :
EMetric.closedBall x (ENNReal.ofReal ε) = closedBall x ε := by
ext y; simp [edist_le_ofReal h]
#align metric.emetric_closed_ball Metric.emetric_closedBall
@[simp]
theorem Metric.emetric_closedBall_nnreal {x : α} {ε : ℝ≥0} :
EMetric.closedBall x ε = closedBall x ε := by
rw [← Metric.emetric_closedBall ε.coe_nonneg, ENNReal.ofReal_coe_nnreal]
#align metric.emetric_closed_ball_nnreal Metric.emetric_closedBall_nnreal
@[simp]
theorem Metric.emetric_ball_top (x : α) : EMetric.ball x ⊤ = univ :=
eq_univ_of_forall fun _ => edist_lt_top _ _
#align metric.emetric_ball_top Metric.emetric_ball_top
theorem Metric.inseparable_iff {x y : α} : Inseparable x y ↔ dist x y = 0 := by
rw [EMetric.inseparable_iff, edist_nndist, dist_nndist, ENNReal.coe_eq_zero, NNReal.coe_eq_zero]
#align metric.inseparable_iff Metric.inseparable_iff
abbrev PseudoMetricSpace.replaceUniformity {α} [U : UniformSpace α] (m : PseudoMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : PseudoMetricSpace α :=
{ m with
toUniformSpace := U
uniformity_dist := H.trans PseudoMetricSpace.uniformity_dist }
#align pseudo_metric_space.replace_uniformity PseudoMetricSpace.replaceUniformity
theorem PseudoMetricSpace.replaceUniformity_eq {α} [U : UniformSpace α] (m : PseudoMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : m.replaceUniformity H = m := by
ext
rfl
#align pseudo_metric_space.replace_uniformity_eq PseudoMetricSpace.replaceUniformity_eq
-- ensure that the bornology is unchanged when replacing the uniformity.
example {α} [U : UniformSpace α] (m : PseudoMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) :
(PseudoMetricSpace.replaceUniformity m H).toBornology = m.toBornology := rfl
abbrev PseudoMetricSpace.replaceTopology {γ} [U : TopologicalSpace γ] (m : PseudoMetricSpace γ)
(H : U = m.toUniformSpace.toTopologicalSpace) : PseudoMetricSpace γ :=
@PseudoMetricSpace.replaceUniformity γ (m.toUniformSpace.replaceTopology H) m rfl
#align pseudo_metric_space.replace_topology PseudoMetricSpace.replaceTopology
theorem PseudoMetricSpace.replaceTopology_eq {γ} [U : TopologicalSpace γ] (m : PseudoMetricSpace γ)
(H : U = m.toUniformSpace.toTopologicalSpace) : m.replaceTopology H = m := by
ext
rfl
#align pseudo_metric_space.replace_topology_eq PseudoMetricSpace.replaceTopology_eq
abbrev PseudoEMetricSpace.toPseudoMetricSpaceOfDist {α : Type u} [e : PseudoEMetricSpace α]
(dist : α → α → ℝ) (edist_ne_top : ∀ x y : α, edist x y ≠ ⊤)
(h : ∀ x y, dist x y = ENNReal.toReal (edist x y)) : PseudoMetricSpace α where
dist := dist
dist_self x := by simp [h]
dist_comm x y := by simp [h, edist_comm]
dist_triangle x y z := by
simp only [h]
exact ENNReal.toReal_le_add (edist_triangle _ _ _) (edist_ne_top _ _) (edist_ne_top _ _)
edist := edist
edist_dist _ _ := by simp only [h, ENNReal.ofReal_toReal (edist_ne_top _ _)]
toUniformSpace := e.toUniformSpace
uniformity_dist := e.uniformity_edist.trans <| by
simpa only [ENNReal.coe_toNNReal (edist_ne_top _ _), h]
using (Metric.uniformity_edist_aux fun x y : α => (edist x y).toNNReal).symm
#align pseudo_emetric_space.to_pseudo_metric_space_of_dist PseudoEMetricSpace.toPseudoMetricSpaceOfDist
abbrev PseudoEMetricSpace.toPseudoMetricSpace {α : Type u} [PseudoEMetricSpace α]
(h : ∀ x y : α, edist x y ≠ ⊤) : PseudoMetricSpace α :=
PseudoEMetricSpace.toPseudoMetricSpaceOfDist (fun x y => ENNReal.toReal (edist x y)) h fun _ _ =>
rfl
#align pseudo_emetric_space.to_pseudo_metric_space PseudoEMetricSpace.toPseudoMetricSpace
abbrev PseudoMetricSpace.replaceBornology {α} [B : Bornology α] (m : PseudoMetricSpace α)
(H : ∀ s, @IsBounded _ B s ↔ @IsBounded _ PseudoMetricSpace.toBornology s) :
PseudoMetricSpace α :=
{ m with
toBornology := B
cobounded_sets := Set.ext <| compl_surjective.forall.2 fun s =>
(H s).trans <| by rw [isBounded_iff, mem_setOf_eq, compl_compl] }
#align pseudo_metric_space.replace_bornology PseudoMetricSpace.replaceBornology
theorem PseudoMetricSpace.replaceBornology_eq {α} [m : PseudoMetricSpace α] [B : Bornology α]
(H : ∀ s, @IsBounded _ B s ↔ @IsBounded _ PseudoMetricSpace.toBornology s) :
PseudoMetricSpace.replaceBornology _ H = m := by
ext
rfl
#align pseudo_metric_space.replace_bornology_eq PseudoMetricSpace.replaceBornology_eq
-- ensure that the uniformity is unchanged when replacing the bornology.
example {α} [B : Bornology α] (m : PseudoMetricSpace α)
(H : ∀ s, @IsBounded _ B s ↔ @IsBounded _ PseudoMetricSpace.toBornology s) :
(PseudoMetricSpace.replaceBornology m H).toUniformSpace = m.toUniformSpace := rfl
section Real
instance Real.pseudoMetricSpace : PseudoMetricSpace ℝ where
dist x y := |x - y|
dist_self := by simp [abs_zero]
dist_comm x y := abs_sub_comm _ _
dist_triangle x y z := abs_sub_le _ _ _
edist_dist := fun x y => by exact ENNReal.coe_nnreal_eq _
#align real.pseudo_metric_space Real.pseudoMetricSpace
theorem Real.dist_eq (x y : ℝ) : dist x y = |x - y| := rfl
#align real.dist_eq Real.dist_eq
theorem Real.nndist_eq (x y : ℝ) : nndist x y = Real.nnabs (x - y) := rfl
#align real.nndist_eq Real.nndist_eq
theorem Real.nndist_eq' (x y : ℝ) : nndist x y = Real.nnabs (y - x) :=
nndist_comm _ _
#align real.nndist_eq' Real.nndist_eq'
theorem Real.dist_0_eq_abs (x : ℝ) : dist x 0 = |x| := by simp [Real.dist_eq]
#align real.dist_0_eq_abs Real.dist_0_eq_abs
theorem Real.sub_le_dist (x y : ℝ) : x - y ≤ dist x y := by
rw [Real.dist_eq, le_abs]
exact Or.inl (le_refl _)
| Mathlib/Topology/MetricSpace/PseudoMetric.lean | 1,360 | 1,361 | theorem Real.dist_left_le_of_mem_uIcc {x y z : ℝ} (h : y ∈ uIcc x z) : dist x y ≤ dist x z := by |
simpa only [dist_comm x] using abs_sub_left_of_mem_uIcc h
|
import Mathlib.Algebra.Lie.Subalgebra
import Mathlib.RingTheory.Noetherian
import Mathlib.RingTheory.Artinian
#align_import algebra.lie.submodule from "leanprover-community/mathlib"@"9822b65bfc4ac74537d77ae318d27df1df662471"
universe u v w w₁ w₂
variable {R M}
theorem Submodule.exists_lieSubmodule_coe_eq_iff (p : Submodule R M) :
(∃ N : LieSubmodule R L M, ↑N = p) ↔ ∀ (x : L) (m : M), m ∈ p → ⁅x, m⁆ ∈ p := by
constructor
· rintro ⟨N, rfl⟩ _ _; exact N.lie_mem
· intro h; use { p with lie_mem := @h }
#align submodule.exists_lie_submodule_coe_eq_iff Submodule.exists_lieSubmodule_coe_eq_iff
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M] [LieModule R L M]
variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L)
section LatticeStructure
open Set
theorem coe_injective : Function.Injective ((↑) : LieSubmodule R L M → Set M) :=
SetLike.coe_injective
#align lie_submodule.coe_injective LieSubmodule.coe_injective
@[simp, norm_cast]
theorem coeSubmodule_le_coeSubmodule : (N : Submodule R M) ≤ N' ↔ N ≤ N' :=
Iff.rfl
#align lie_submodule.coe_submodule_le_coe_submodule LieSubmodule.coeSubmodule_le_coeSubmodule
instance : Bot (LieSubmodule R L M) :=
⟨0⟩
@[simp]
theorem bot_coe : ((⊥ : LieSubmodule R L M) : Set M) = {0} :=
rfl
#align lie_submodule.bot_coe LieSubmodule.bot_coe
@[simp]
theorem bot_coeSubmodule : ((⊥ : LieSubmodule R L M) : Submodule R M) = ⊥ :=
rfl
#align lie_submodule.bot_coe_submodule LieSubmodule.bot_coeSubmodule
@[simp]
theorem coeSubmodule_eq_bot_iff : (N : Submodule R M) = ⊥ ↔ N = ⊥ := by
rw [← coe_toSubmodule_eq_iff, bot_coeSubmodule]
@[simp] theorem mk_eq_bot_iff {N : Submodule R M} {h} :
(⟨N, h⟩ : LieSubmodule R L M) = ⊥ ↔ N = ⊥ := by
rw [← coe_toSubmodule_eq_iff, bot_coeSubmodule]
@[simp]
theorem mem_bot (x : M) : x ∈ (⊥ : LieSubmodule R L M) ↔ x = 0 :=
mem_singleton_iff
#align lie_submodule.mem_bot LieSubmodule.mem_bot
instance : Top (LieSubmodule R L M) :=
⟨{ (⊤ : Submodule R M) with lie_mem := fun {x m} _ ↦ mem_univ ⁅x, m⁆ }⟩
@[simp]
theorem top_coe : ((⊤ : LieSubmodule R L M) : Set M) = univ :=
rfl
#align lie_submodule.top_coe LieSubmodule.top_coe
@[simp]
theorem top_coeSubmodule : ((⊤ : LieSubmodule R L M) : Submodule R M) = ⊤ :=
rfl
#align lie_submodule.top_coe_submodule LieSubmodule.top_coeSubmodule
@[simp]
theorem coeSubmodule_eq_top_iff : (N : Submodule R M) = ⊤ ↔ N = ⊤ := by
rw [← coe_toSubmodule_eq_iff, top_coeSubmodule]
@[simp] theorem mk_eq_top_iff {N : Submodule R M} {h} :
(⟨N, h⟩ : LieSubmodule R L M) = ⊤ ↔ N = ⊤ := by
rw [← coe_toSubmodule_eq_iff, top_coeSubmodule]
@[simp]
theorem mem_top (x : M) : x ∈ (⊤ : LieSubmodule R L M) :=
mem_univ x
#align lie_submodule.mem_top LieSubmodule.mem_top
instance : Inf (LieSubmodule R L M) :=
⟨fun N N' ↦
{ (N ⊓ N' : Submodule R M) with
lie_mem := fun h ↦ mem_inter (N.lie_mem h.1) (N'.lie_mem h.2) }⟩
instance : InfSet (LieSubmodule R L M) :=
⟨fun S ↦
{ toSubmodule := sInf {(s : Submodule R M) | s ∈ S}
lie_mem := fun {x m} h ↦ by
simp only [Submodule.mem_carrier, mem_iInter, Submodule.sInf_coe, mem_setOf_eq,
forall_apply_eq_imp_iff₂, forall_exists_index, and_imp] at h ⊢
intro N hN; apply N.lie_mem (h N hN) }⟩
@[simp]
theorem inf_coe : (↑(N ⊓ N') : Set M) = ↑N ∩ ↑N' :=
rfl
#align lie_submodule.inf_coe LieSubmodule.inf_coe
@[norm_cast, simp]
theorem inf_coe_toSubmodule :
(↑(N ⊓ N') : Submodule R M) = (N : Submodule R M) ⊓ (N' : Submodule R M) :=
rfl
#align lie_submodule.inf_coe_to_submodule LieSubmodule.inf_coe_toSubmodule
@[simp]
theorem sInf_coe_toSubmodule (S : Set (LieSubmodule R L M)) :
(↑(sInf S) : Submodule R M) = sInf {(s : Submodule R M) | s ∈ S} :=
rfl
#align lie_submodule.Inf_coe_to_submodule LieSubmodule.sInf_coe_toSubmodule
theorem sInf_coe_toSubmodule' (S : Set (LieSubmodule R L M)) :
(↑(sInf S) : Submodule R M) = ⨅ N ∈ S, (N : Submodule R M) := by
rw [sInf_coe_toSubmodule, ← Set.image, sInf_image]
@[simp]
theorem iInf_coe_toSubmodule {ι} (p : ι → LieSubmodule R L M) :
(↑(⨅ i, p i) : Submodule R M) = ⨅ i, (p i : Submodule R M) := by
rw [iInf, sInf_coe_toSubmodule]; ext; simp
@[simp]
theorem sInf_coe (S : Set (LieSubmodule R L M)) : (↑(sInf S) : Set M) = ⋂ s ∈ S, (s : Set M) := by
rw [← LieSubmodule.coe_toSubmodule, sInf_coe_toSubmodule, Submodule.sInf_coe]
ext m
simp only [mem_iInter, mem_setOf_eq, forall_apply_eq_imp_iff₂, exists_imp,
and_imp, SetLike.mem_coe, mem_coeSubmodule]
#align lie_submodule.Inf_coe LieSubmodule.sInf_coe
@[simp]
theorem iInf_coe {ι} (p : ι → LieSubmodule R L M) : (↑(⨅ i, p i) : Set M) = ⋂ i, ↑(p i) := by
rw [iInf, sInf_coe]; simp only [Set.mem_range, Set.iInter_exists, Set.iInter_iInter_eq']
@[simp]
theorem mem_iInf {ι} (p : ι → LieSubmodule R L M) {x} : (x ∈ ⨅ i, p i) ↔ ∀ i, x ∈ p i := by
rw [← SetLike.mem_coe, iInf_coe, Set.mem_iInter]; rfl
instance : Sup (LieSubmodule R L M) where
sup N N' :=
{ toSubmodule := (N : Submodule R M) ⊔ (N' : Submodule R M)
lie_mem := by
rintro x m (hm : m ∈ (N : Submodule R M) ⊔ (N' : Submodule R M))
change ⁅x, m⁆ ∈ (N : Submodule R M) ⊔ (N' : Submodule R M)
rw [Submodule.mem_sup] at hm ⊢
obtain ⟨y, hy, z, hz, rfl⟩ := hm
exact ⟨⁅x, y⁆, N.lie_mem hy, ⁅x, z⁆, N'.lie_mem hz, (lie_add _ _ _).symm⟩ }
instance : SupSet (LieSubmodule R L M) where
sSup S :=
{ toSubmodule := sSup {(p : Submodule R M) | p ∈ S}
lie_mem := by
intro x m (hm : m ∈ sSup {(p : Submodule R M) | p ∈ S})
change ⁅x, m⁆ ∈ sSup {(p : Submodule R M) | p ∈ S}
obtain ⟨s, hs, hsm⟩ := Submodule.mem_sSup_iff_exists_finset.mp hm
clear hm
classical
induction' s using Finset.induction_on with q t hqt ih generalizing m
· replace hsm : m = 0 := by simpa using hsm
simp [hsm]
· rw [Finset.iSup_insert] at hsm
obtain ⟨m', hm', u, hu, rfl⟩ := Submodule.mem_sup.mp hsm
rw [lie_add]
refine add_mem ?_ (ih (Subset.trans (by simp) hs) hu)
obtain ⟨p, hp, rfl⟩ : ∃ p ∈ S, ↑p = q := hs (Finset.mem_insert_self q t)
suffices p ≤ sSup {(p : Submodule R M) | p ∈ S} by exact this (p.lie_mem hm')
exact le_sSup ⟨p, hp, rfl⟩ }
@[norm_cast, simp]
theorem sup_coe_toSubmodule :
(↑(N ⊔ N') : Submodule R M) = (N : Submodule R M) ⊔ (N' : Submodule R M) := by
rfl
#align lie_submodule.sup_coe_to_submodule LieSubmodule.sup_coe_toSubmodule
@[simp]
theorem sSup_coe_toSubmodule (S : Set (LieSubmodule R L M)) :
(↑(sSup S) : Submodule R M) = sSup {(s : Submodule R M) | s ∈ S} :=
rfl
theorem sSup_coe_toSubmodule' (S : Set (LieSubmodule R L M)) :
(↑(sSup S) : Submodule R M) = ⨆ N ∈ S, (N : Submodule R M) := by
rw [sSup_coe_toSubmodule, ← Set.image, sSup_image]
@[simp]
theorem iSup_coe_toSubmodule {ι} (p : ι → LieSubmodule R L M) :
(↑(⨆ i, p i) : Submodule R M) = ⨆ i, (p i : Submodule R M) := by
rw [iSup, sSup_coe_toSubmodule]; ext; simp [Submodule.mem_sSup, Submodule.mem_iSup]
instance : CompleteLattice (LieSubmodule R L M) :=
{ coeSubmodule_injective.completeLattice toSubmodule sup_coe_toSubmodule inf_coe_toSubmodule
sSup_coe_toSubmodule' sInf_coe_toSubmodule' rfl rfl with
toPartialOrder := SetLike.instPartialOrder }
theorem mem_iSup_of_mem {ι} {b : M} {N : ι → LieSubmodule R L M} (i : ι) (h : b ∈ N i) :
b ∈ ⨆ i, N i :=
(le_iSup N i) h
lemma iSup_induction {ι} (N : ι → LieSubmodule R L M) {C : M → Prop} {x : M}
(hx : x ∈ ⨆ i, N i) (hN : ∀ i, ∀ y ∈ N i, C y) (h0 : C 0)
(hadd : ∀ y z, C y → C z → C (y + z)) : C x := by
rw [← LieSubmodule.mem_coeSubmodule, LieSubmodule.iSup_coe_toSubmodule] at hx
exact Submodule.iSup_induction (C := C) (fun i ↦ (N i : Submodule R M)) hx hN h0 hadd
@[elab_as_elim]
theorem iSup_induction' {ι} (N : ι → LieSubmodule R L M) {C : (x : M) → (x ∈ ⨆ i, N i) → Prop}
(hN : ∀ (i) (x) (hx : x ∈ N i), C x (mem_iSup_of_mem i hx)) (h0 : C 0 (zero_mem _))
(hadd : ∀ x y hx hy, C x hx → C y hy → C (x + y) (add_mem ‹_› ‹_›)) {x : M}
(hx : x ∈ ⨆ i, N i) : C x hx := by
refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, N i) (hc : C x hx) => hc
refine iSup_induction N (C := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, N i), C x hx) hx
(fun i x hx => ?_) ?_ fun x y => ?_
· exact ⟨_, hN _ _ hx⟩
· exact ⟨_, h0⟩
· rintro ⟨_, Cx⟩ ⟨_, Cy⟩
exact ⟨_, hadd _ _ _ _ Cx Cy⟩
theorem disjoint_iff_coe_toSubmodule :
Disjoint N N' ↔ Disjoint (N : Submodule R M) (N' : Submodule R M) := by
rw [disjoint_iff, disjoint_iff, ← coe_toSubmodule_eq_iff, inf_coe_toSubmodule, bot_coeSubmodule,
← disjoint_iff]
theorem codisjoint_iff_coe_toSubmodule :
Codisjoint N N' ↔ Codisjoint (N : Submodule R M) (N' : Submodule R M) := by
rw [codisjoint_iff, codisjoint_iff, ← coe_toSubmodule_eq_iff, sup_coe_toSubmodule,
top_coeSubmodule, ← codisjoint_iff]
theorem isCompl_iff_coe_toSubmodule :
IsCompl N N' ↔ IsCompl (N : Submodule R M) (N' : Submodule R M) := by
simp only [isCompl_iff, disjoint_iff_coe_toSubmodule, codisjoint_iff_coe_toSubmodule]
theorem independent_iff_coe_toSubmodule {ι : Type*} {N : ι → LieSubmodule R L M} :
CompleteLattice.Independent N ↔ CompleteLattice.Independent fun i ↦ (N i : Submodule R M) := by
simp [CompleteLattice.independent_def, disjoint_iff_coe_toSubmodule]
theorem iSup_eq_top_iff_coe_toSubmodule {ι : Sort*} {N : ι → LieSubmodule R L M} :
⨆ i, N i = ⊤ ↔ ⨆ i, (N i : Submodule R M) = ⊤ := by
rw [← iSup_coe_toSubmodule, ← top_coeSubmodule (L := L), coe_toSubmodule_eq_iff]
instance : Add (LieSubmodule R L M) where add := Sup.sup
instance : Zero (LieSubmodule R L M) where zero := ⊥
instance : AddCommMonoid (LieSubmodule R L M) where
add_assoc := sup_assoc
zero_add := bot_sup_eq
add_zero := sup_bot_eq
add_comm := sup_comm
nsmul := nsmulRec
@[simp]
theorem add_eq_sup : N + N' = N ⊔ N' :=
rfl
#align lie_submodule.add_eq_sup LieSubmodule.add_eq_sup
@[simp]
theorem mem_inf (x : M) : x ∈ N ⊓ N' ↔ x ∈ N ∧ x ∈ N' := by
rw [← mem_coeSubmodule, ← mem_coeSubmodule, ← mem_coeSubmodule, inf_coe_toSubmodule,
Submodule.mem_inf]
#align lie_submodule.mem_inf LieSubmodule.mem_inf
theorem mem_sup (x : M) : x ∈ N ⊔ N' ↔ ∃ y ∈ N, ∃ z ∈ N', y + z = x := by
rw [← mem_coeSubmodule, sup_coe_toSubmodule, Submodule.mem_sup]; exact Iff.rfl
#align lie_submodule.mem_sup LieSubmodule.mem_sup
nonrec theorem eq_bot_iff : N = ⊥ ↔ ∀ m : M, m ∈ N → m = 0 := by rw [eq_bot_iff]; exact Iff.rfl
#align lie_submodule.eq_bot_iff LieSubmodule.eq_bot_iff
instance subsingleton_of_bot : Subsingleton (LieSubmodule R L ↑(⊥ : LieSubmodule R L M)) := by
apply subsingleton_of_bot_eq_top
ext ⟨x, hx⟩; change x ∈ ⊥ at hx; rw [Submodule.mem_bot] at hx; subst hx
simp only [true_iff_iff, eq_self_iff_true, Submodule.mk_eq_zero, LieSubmodule.mem_bot, mem_top]
#align lie_submodule.subsingleton_of_bot LieSubmodule.subsingleton_of_bot
instance : IsModularLattice (LieSubmodule R L M) where
sup_inf_le_assoc_of_le _ _ := by
simp only [← coeSubmodule_le_coeSubmodule, sup_coe_toSubmodule, inf_coe_toSubmodule]
exact IsModularLattice.sup_inf_le_assoc_of_le _
variable (R L M)
@[simps] def toSubmodule_orderEmbedding : LieSubmodule R L M ↪o Submodule R M :=
{ toFun := (↑)
inj' := coeSubmodule_injective
map_rel_iff' := Iff.rfl }
theorem wellFounded_of_noetherian [IsNoetherian R M] :
WellFounded ((· > ·) : LieSubmodule R L M → LieSubmodule R L M → Prop) :=
RelHomClass.wellFounded (toSubmodule_orderEmbedding R L M).dual.ltEmbedding <|
isNoetherian_iff_wellFounded.mp inferInstance
#align lie_submodule.well_founded_of_noetherian LieSubmodule.wellFounded_of_noetherian
theorem wellFounded_of_isArtinian [IsArtinian R M] :
WellFounded ((· < ·) : LieSubmodule R L M → LieSubmodule R L M → Prop) :=
RelHomClass.wellFounded (toSubmodule_orderEmbedding R L M).ltEmbedding <|
IsArtinian.wellFounded_submodule_lt R M
instance [IsArtinian R M] : IsAtomic (LieSubmodule R L M) :=
isAtomic_of_orderBot_wellFounded_lt <| wellFounded_of_isArtinian R L M
@[simp]
| Mathlib/Algebra/Lie/Submodule.lean | 632 | 636 | theorem subsingleton_iff : Subsingleton (LieSubmodule R L M) ↔ Subsingleton M :=
have h : Subsingleton (LieSubmodule R L M) ↔ Subsingleton (Submodule R M) := by |
rw [← subsingleton_iff_bot_eq_top, ← subsingleton_iff_bot_eq_top, ← coe_toSubmodule_eq_iff,
top_coeSubmodule, bot_coeSubmodule]
h.trans <| Submodule.subsingleton_iff R
|
import Mathlib.Data.Bool.Basic
import Mathlib.Data.Option.Defs
import Mathlib.Data.Prod.Basic
import Mathlib.Data.Sigma.Basic
import Mathlib.Data.Subtype
import Mathlib.Data.Sum.Basic
import Mathlib.Init.Data.Sigma.Basic
import Mathlib.Logic.Equiv.Defs
import Mathlib.Logic.Function.Conjugate
import Mathlib.Tactic.Lift
import Mathlib.Tactic.Convert
import Mathlib.Tactic.Contrapose
import Mathlib.Tactic.GeneralizeProofs
import Mathlib.Tactic.SimpRw
#align_import logic.equiv.basic from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d"
set_option autoImplicit true
universe u
open Function
namespace Equiv
@[simps apply symm_apply]
def pprodEquivProd : PProd α β ≃ α × β where
toFun x := (x.1, x.2)
invFun x := ⟨x.1, x.2⟩
left_inv := fun _ => rfl
right_inv := fun _ => rfl
#align equiv.pprod_equiv_prod Equiv.pprodEquivProd
#align equiv.pprod_equiv_prod_apply Equiv.pprodEquivProd_apply
#align equiv.pprod_equiv_prod_symm_apply Equiv.pprodEquivProd_symm_apply
-- Porting note: in Lean 3 this had `@[congr]`
@[simps apply]
def pprodCongr (e₁ : α ≃ β) (e₂ : γ ≃ δ) : PProd α γ ≃ PProd β δ where
toFun x := ⟨e₁ x.1, e₂ x.2⟩
invFun x := ⟨e₁.symm x.1, e₂.symm x.2⟩
left_inv := fun ⟨x, y⟩ => by simp
right_inv := fun ⟨x, y⟩ => by simp
#align equiv.pprod_congr Equiv.pprodCongr
#align equiv.pprod_congr_apply Equiv.pprodCongr_apply
@[simps! apply symm_apply]
def pprodProd (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
PProd α₁ β₁ ≃ α₂ × β₂ :=
(ea.pprodCongr eb).trans pprodEquivProd
#align equiv.pprod_prod Equiv.pprodProd
#align equiv.pprod_prod_apply Equiv.pprodProd_apply
#align equiv.pprod_prod_symm_apply Equiv.pprodProd_symm_apply
@[simps! apply symm_apply]
def prodPProd (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
α₁ × β₁ ≃ PProd α₂ β₂ :=
(ea.symm.pprodProd eb.symm).symm
#align equiv.prod_pprod Equiv.prodPProd
#align equiv.prod_pprod_symm_apply Equiv.prodPProd_symm_apply
#align equiv.prod_pprod_apply Equiv.prodPProd_apply
@[simps! apply symm_apply]
def pprodEquivProdPLift : PProd α β ≃ PLift α × PLift β :=
Equiv.plift.symm.pprodProd Equiv.plift.symm
#align equiv.pprod_equiv_prod_plift Equiv.pprodEquivProdPLift
#align equiv.pprod_equiv_prod_plift_symm_apply Equiv.pprodEquivProdPLift_symm_apply
#align equiv.pprod_equiv_prod_plift_apply Equiv.pprodEquivProdPLift_apply
-- Porting note: in Lean 3 there was also a @[congr] tag
@[simps (config := .asFn) apply]
def prodCongr (e₁ : α₁ ≃ α₂) (e₂ : β₁ ≃ β₂) : α₁ × β₁ ≃ α₂ × β₂ :=
⟨Prod.map e₁ e₂, Prod.map e₁.symm e₂.symm, fun ⟨a, b⟩ => by simp, fun ⟨a, b⟩ => by simp⟩
#align equiv.prod_congr Equiv.prodCongr
#align equiv.prod_congr_apply Equiv.prodCongr_apply
@[simp]
theorem prodCongr_symm (e₁ : α₁ ≃ α₂) (e₂ : β₁ ≃ β₂) :
(prodCongr e₁ e₂).symm = prodCongr e₁.symm e₂.symm :=
rfl
#align equiv.prod_congr_symm Equiv.prodCongr_symm
def prodComm (α β) : α × β ≃ β × α :=
⟨Prod.swap, Prod.swap, Prod.swap_swap, Prod.swap_swap⟩
#align equiv.prod_comm Equiv.prodComm
@[simp]
theorem coe_prodComm (α β) : (⇑(prodComm α β) : α × β → β × α) = Prod.swap :=
rfl
#align equiv.coe_prod_comm Equiv.coe_prodComm
@[simp]
theorem prodComm_apply (x : α × β) : prodComm α β x = x.swap :=
rfl
#align equiv.prod_comm_apply Equiv.prodComm_apply
@[simp]
theorem prodComm_symm (α β) : (prodComm α β).symm = prodComm β α :=
rfl
#align equiv.prod_comm_symm Equiv.prodComm_symm
@[simps]
def prodAssoc (α β γ) : (α × β) × γ ≃ α × β × γ :=
⟨fun p => (p.1.1, p.1.2, p.2), fun p => ((p.1, p.2.1), p.2.2), fun ⟨⟨_, _⟩, _⟩ => rfl,
fun ⟨_, ⟨_, _⟩⟩ => rfl⟩
#align equiv.prod_assoc Equiv.prodAssoc
#align equiv.prod_assoc_symm_apply Equiv.prodAssoc_symm_apply
#align equiv.prod_assoc_apply Equiv.prodAssoc_apply
@[simps apply]
def prodProdProdComm (α β γ δ : Type*) : (α × β) × γ × δ ≃ (α × γ) × β × δ where
toFun abcd := ((abcd.1.1, abcd.2.1), (abcd.1.2, abcd.2.2))
invFun acbd := ((acbd.1.1, acbd.2.1), (acbd.1.2, acbd.2.2))
left_inv := fun ⟨⟨_a, _b⟩, ⟨_c, _d⟩⟩ => rfl
right_inv := fun ⟨⟨_a, _c⟩, ⟨_b, _d⟩⟩ => rfl
#align equiv.prod_prod_prod_comm Equiv.prodProdProdComm
@[simp]
theorem prodProdProdComm_symm (α β γ δ : Type*) :
(prodProdProdComm α β γ δ).symm = prodProdProdComm α γ β δ :=
rfl
#align equiv.prod_prod_prod_comm_symm Equiv.prodProdProdComm_symm
@[simps (config := .asFn)]
def curry (α β γ) : (α × β → γ) ≃ (α → β → γ) where
toFun := Function.curry
invFun := uncurry
left_inv := uncurry_curry
right_inv := curry_uncurry
#align equiv.curry Equiv.curry
#align equiv.curry_symm_apply Equiv.curry_symm_apply
#align equiv.curry_apply Equiv.curry_apply
section
@[simps]
def prodPUnit (α) : α × PUnit ≃ α :=
⟨fun p => p.1, fun a => (a, PUnit.unit), fun ⟨_, PUnit.unit⟩ => rfl, fun _ => rfl⟩
#align equiv.prod_punit Equiv.prodPUnit
#align equiv.prod_punit_apply Equiv.prodPUnit_apply
#align equiv.prod_punit_symm_apply Equiv.prodPUnit_symm_apply
@[simps!]
def punitProd (α) : PUnit × α ≃ α :=
calc
PUnit × α ≃ α × PUnit := prodComm _ _
_ ≃ α := prodPUnit _
#align equiv.punit_prod Equiv.punitProd
#align equiv.punit_prod_symm_apply Equiv.punitProd_symm_apply
#align equiv.punit_prod_apply Equiv.punitProd_apply
@[simps]
def sigmaPUnit (α) : (_ : α) × PUnit ≃ α :=
⟨fun p => p.1, fun a => ⟨a, PUnit.unit⟩, fun ⟨_, PUnit.unit⟩ => rfl, fun _ => rfl⟩
def prodUnique (α β) [Unique β] : α × β ≃ α :=
((Equiv.refl α).prodCongr <| equivPUnit.{_,1} β).trans <| prodPUnit α
#align equiv.prod_unique Equiv.prodUnique
@[simp]
theorem coe_prodUnique [Unique β] : (⇑(prodUnique α β) : α × β → α) = Prod.fst :=
rfl
#align equiv.coe_prod_unique Equiv.coe_prodUnique
theorem prodUnique_apply [Unique β] (x : α × β) : prodUnique α β x = x.1 :=
rfl
#align equiv.prod_unique_apply Equiv.prodUnique_apply
@[simp]
theorem prodUnique_symm_apply [Unique β] (x : α) :
(prodUnique α β).symm x = (x, default) :=
rfl
#align equiv.prod_unique_symm_apply Equiv.prodUnique_symm_apply
def uniqueProd (α β) [Unique β] : β × α ≃ α :=
((equivPUnit.{_,1} β).prodCongr <| Equiv.refl α).trans <| punitProd α
#align equiv.unique_prod Equiv.uniqueProd
@[simp]
theorem coe_uniqueProd [Unique β] : (⇑(uniqueProd α β) : β × α → α) = Prod.snd :=
rfl
#align equiv.coe_unique_prod Equiv.coe_uniqueProd
theorem uniqueProd_apply [Unique β] (x : β × α) : uniqueProd α β x = x.2 :=
rfl
#align equiv.unique_prod_apply Equiv.uniqueProd_apply
@[simp]
theorem uniqueProd_symm_apply [Unique β] (x : α) :
(uniqueProd α β).symm x = (default, x) :=
rfl
#align equiv.unique_prod_symm_apply Equiv.uniqueProd_symm_apply
def sigmaUnique (α) (β : α → Type*) [∀ a, Unique (β a)] : (a : α) × (β a) ≃ α :=
(Equiv.sigmaCongrRight fun a ↦ equivPUnit.{_,1} (β a)).trans <| sigmaPUnit α
@[simp]
theorem coe_sigmaUnique {β : α → Type*} [∀ a, Unique (β a)] :
(⇑(sigmaUnique α β) : (a : α) × (β a) → α) = Sigma.fst :=
rfl
theorem sigmaUnique_apply {β : α → Type*} [∀ a, Unique (β a)] (x : (a : α) × β a) :
sigmaUnique α β x = x.1 :=
rfl
@[simp]
theorem sigmaUnique_symm_apply {β : α → Type*} [∀ a, Unique (β a)] (x : α) :
(sigmaUnique α β).symm x = ⟨x, default⟩ :=
rfl
def prodEmpty (α) : α × Empty ≃ Empty :=
equivEmpty _
#align equiv.prod_empty Equiv.prodEmpty
def emptyProd (α) : Empty × α ≃ Empty :=
equivEmpty _
#align equiv.empty_prod Equiv.emptyProd
def prodPEmpty (α) : α × PEmpty ≃ PEmpty :=
equivPEmpty _
#align equiv.prod_pempty Equiv.prodPEmpty
def pemptyProd (α) : PEmpty × α ≃ PEmpty :=
equivPEmpty _
#align equiv.pempty_prod Equiv.pemptyProd
end
section
open Sum
def psumEquivSum (α β) : PSum α β ≃ Sum α β where
toFun s := PSum.casesOn s inl inr
invFun := Sum.elim PSum.inl PSum.inr
left_inv s := by cases s <;> rfl
right_inv s := by cases s <;> rfl
#align equiv.psum_equiv_sum Equiv.psumEquivSum
@[simps apply]
def sumCongr (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : Sum α₁ β₁ ≃ Sum α₂ β₂ :=
⟨Sum.map ea eb, Sum.map ea.symm eb.symm, fun x => by simp, fun x => by simp⟩
#align equiv.sum_congr Equiv.sumCongr
#align equiv.sum_congr_apply Equiv.sumCongr_apply
def psumCongr (e₁ : α ≃ β) (e₂ : γ ≃ δ) : PSum α γ ≃ PSum β δ where
toFun x := PSum.casesOn x (PSum.inl ∘ e₁) (PSum.inr ∘ e₂)
invFun x := PSum.casesOn x (PSum.inl ∘ e₁.symm) (PSum.inr ∘ e₂.symm)
left_inv := by rintro (x | x) <;> simp
right_inv := by rintro (x | x) <;> simp
#align equiv.psum_congr Equiv.psumCongr
def psumSum (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
PSum α₁ β₁ ≃ Sum α₂ β₂ :=
(ea.psumCongr eb).trans (psumEquivSum _ _)
#align equiv.psum_sum Equiv.psumSum
def sumPSum (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
Sum α₁ β₁ ≃ PSum α₂ β₂ :=
(ea.symm.psumSum eb.symm).symm
#align equiv.sum_psum Equiv.sumPSum
@[simp]
theorem sumCongr_trans (e : α₁ ≃ β₁) (f : α₂ ≃ β₂) (g : β₁ ≃ γ₁) (h : β₂ ≃ γ₂) :
(Equiv.sumCongr e f).trans (Equiv.sumCongr g h) = Equiv.sumCongr (e.trans g) (f.trans h) := by
ext i
cases i <;> rfl
#align equiv.sum_congr_trans Equiv.sumCongr_trans
@[simp]
theorem sumCongr_symm (e : α ≃ β) (f : γ ≃ δ) :
(Equiv.sumCongr e f).symm = Equiv.sumCongr e.symm f.symm :=
rfl
#align equiv.sum_congr_symm Equiv.sumCongr_symm
@[simp]
theorem sumCongr_refl : Equiv.sumCongr (Equiv.refl α) (Equiv.refl β) = Equiv.refl (Sum α β) := by
ext i
cases i <;> rfl
#align equiv.sum_congr_refl Equiv.sumCongr_refl
def subtypeSum {p : α ⊕ β → Prop} : {c // p c} ≃ {a // p (Sum.inl a)} ⊕ {b // p (Sum.inr b)} where
toFun c := match h : c.1 with
| Sum.inl a => Sum.inl ⟨a, h ▸ c.2⟩
| Sum.inr b => Sum.inr ⟨b, h ▸ c.2⟩
invFun c := match c with
| Sum.inl a => ⟨Sum.inl a, a.2⟩
| Sum.inr b => ⟨Sum.inr b, b.2⟩
left_inv := by rintro ⟨a | b, h⟩ <;> rfl
right_inv := by rintro (a | b) <;> rfl
def boolEquivPUnitSumPUnit : Bool ≃ Sum PUnit.{u + 1} PUnit.{v + 1} :=
⟨fun b => b.casesOn (inl PUnit.unit) (inr PUnit.unit) , Sum.elim (fun _ => false) fun _ => true,
fun b => by cases b <;> rfl, fun s => by rcases s with (⟨⟨⟩⟩ | ⟨⟨⟩⟩) <;> rfl⟩
#align equiv.bool_equiv_punit_sum_punit Equiv.boolEquivPUnitSumPUnit
@[simps (config := .asFn) apply]
def sumComm (α β) : Sum α β ≃ Sum β α :=
⟨Sum.swap, Sum.swap, Sum.swap_swap, Sum.swap_swap⟩
#align equiv.sum_comm Equiv.sumComm
#align equiv.sum_comm_apply Equiv.sumComm_apply
@[simp]
theorem sumComm_symm (α β) : (sumComm α β).symm = sumComm β α :=
rfl
#align equiv.sum_comm_symm Equiv.sumComm_symm
def sumAssoc (α β γ) : Sum (Sum α β) γ ≃ Sum α (Sum β γ) :=
⟨Sum.elim (Sum.elim Sum.inl (Sum.inr ∘ Sum.inl)) (Sum.inr ∘ Sum.inr),
Sum.elim (Sum.inl ∘ Sum.inl) <| Sum.elim (Sum.inl ∘ Sum.inr) Sum.inr,
by rintro (⟨_ | _⟩ | _) <;> rfl, by
rintro (_ | ⟨_ | _⟩) <;> rfl⟩
#align equiv.sum_assoc Equiv.sumAssoc
@[simp]
theorem sumAssoc_apply_inl_inl (a) : sumAssoc α β γ (inl (inl a)) = inl a :=
rfl
#align equiv.sum_assoc_apply_inl_inl Equiv.sumAssoc_apply_inl_inl
@[simp]
theorem sumAssoc_apply_inl_inr (b) : sumAssoc α β γ (inl (inr b)) = inr (inl b) :=
rfl
#align equiv.sum_assoc_apply_inl_inr Equiv.sumAssoc_apply_inl_inr
@[simp]
theorem sumAssoc_apply_inr (c) : sumAssoc α β γ (inr c) = inr (inr c) :=
rfl
#align equiv.sum_assoc_apply_inr Equiv.sumAssoc_apply_inr
@[simp]
theorem sumAssoc_symm_apply_inl {α β γ} (a) : (sumAssoc α β γ).symm (inl a) = inl (inl a) :=
rfl
#align equiv.sum_assoc_symm_apply_inl Equiv.sumAssoc_symm_apply_inl
@[simp]
theorem sumAssoc_symm_apply_inr_inl {α β γ} (b) :
(sumAssoc α β γ).symm (inr (inl b)) = inl (inr b) :=
rfl
#align equiv.sum_assoc_symm_apply_inr_inl Equiv.sumAssoc_symm_apply_inr_inl
@[simp]
theorem sumAssoc_symm_apply_inr_inr {α β γ} (c) : (sumAssoc α β γ).symm (inr (inr c)) = inr c :=
rfl
#align equiv.sum_assoc_symm_apply_inr_inr Equiv.sumAssoc_symm_apply_inr_inr
@[simps symm_apply]
def sumEmpty (α β) [IsEmpty β] : Sum α β ≃ α where
toFun := Sum.elim id isEmptyElim
invFun := inl
left_inv s := by
rcases s with (_ | x)
· rfl
· exact isEmptyElim x
right_inv _ := rfl
#align equiv.sum_empty Equiv.sumEmpty
#align equiv.sum_empty_symm_apply Equiv.sumEmpty_symm_apply
@[simp]
theorem sumEmpty_apply_inl [IsEmpty β] (a : α) : sumEmpty α β (Sum.inl a) = a :=
rfl
#align equiv.sum_empty_apply_inl Equiv.sumEmpty_apply_inl
@[simps! symm_apply]
def emptySum (α β) [IsEmpty α] : Sum α β ≃ β :=
(sumComm _ _).trans <| sumEmpty _ _
#align equiv.empty_sum Equiv.emptySum
#align equiv.empty_sum_symm_apply Equiv.emptySum_symm_apply
@[simp]
theorem emptySum_apply_inr [IsEmpty α] (b : β) : emptySum α β (Sum.inr b) = b :=
rfl
#align equiv.empty_sum_apply_inr Equiv.emptySum_apply_inr
def optionEquivSumPUnit (α) : Option α ≃ Sum α PUnit :=
⟨fun o => o.elim (inr PUnit.unit) inl, fun s => s.elim some fun _ => none,
fun o => by cases o <;> rfl,
fun s => by rcases s with (_ | ⟨⟨⟩⟩) <;> rfl⟩
#align equiv.option_equiv_sum_punit Equiv.optionEquivSumPUnit
@[simp]
theorem optionEquivSumPUnit_none : optionEquivSumPUnit α none = Sum.inr PUnit.unit :=
rfl
#align equiv.option_equiv_sum_punit_none Equiv.optionEquivSumPUnit_none
@[simp]
theorem optionEquivSumPUnit_some (a) : optionEquivSumPUnit α (some a) = Sum.inl a :=
rfl
#align equiv.option_equiv_sum_punit_some Equiv.optionEquivSumPUnit_some
@[simp]
theorem optionEquivSumPUnit_coe (a : α) : optionEquivSumPUnit α a = Sum.inl a :=
rfl
#align equiv.option_equiv_sum_punit_coe Equiv.optionEquivSumPUnit_coe
@[simp]
theorem optionEquivSumPUnit_symm_inl (a) : (optionEquivSumPUnit α).symm (Sum.inl a) = a :=
rfl
#align equiv.option_equiv_sum_punit_symm_inl Equiv.optionEquivSumPUnit_symm_inl
@[simp]
theorem optionEquivSumPUnit_symm_inr (a) : (optionEquivSumPUnit α).symm (Sum.inr a) = none :=
rfl
#align equiv.option_equiv_sum_punit_symm_inr Equiv.optionEquivSumPUnit_symm_inr
@[simps]
def optionIsSomeEquiv (α) : { x : Option α // x.isSome } ≃ α where
toFun o := Option.get _ o.2
invFun x := ⟨some x, rfl⟩
left_inv _ := Subtype.eq <| Option.some_get _
right_inv _ := Option.get_some _ _
#align equiv.option_is_some_equiv Equiv.optionIsSomeEquiv
#align equiv.option_is_some_equiv_apply Equiv.optionIsSomeEquiv_apply
#align equiv.option_is_some_equiv_symm_apply_coe Equiv.optionIsSomeEquiv_symm_apply_coe
@[simps]
def piOptionEquivProd {β : Option α → Type*} :
(∀ a : Option α, β a) ≃ β none × ∀ a : α, β (some a) where
toFun f := (f none, fun a => f (some a))
invFun x a := Option.casesOn a x.fst x.snd
left_inv f := funext fun a => by cases a <;> rfl
right_inv x := by simp
#align equiv.pi_option_equiv_prod Equiv.piOptionEquivProd
#align equiv.pi_option_equiv_prod_symm_apply Equiv.piOptionEquivProd_symm_apply
#align equiv.pi_option_equiv_prod_apply Equiv.piOptionEquivProd_apply
def sumEquivSigmaBool (α β : Type u) : Sum α β ≃ Σ b : Bool, b.casesOn α β :=
⟨fun s => s.elim (fun x => ⟨false, x⟩) fun x => ⟨true, x⟩, fun s =>
match s with
| ⟨false, a⟩ => inl a
| ⟨true, b⟩ => inr b,
fun s => by cases s <;> rfl, fun s => by rcases s with ⟨_ | _, _⟩ <;> rfl⟩
#align equiv.sum_equiv_sigma_bool Equiv.sumEquivSigmaBool
-- See also `Equiv.sigmaPreimageEquiv`.
@[simps]
def sigmaFiberEquiv {α β : Type*} (f : α → β) : (Σ y : β, { x // f x = y }) ≃ α :=
⟨fun x => ↑x.2, fun x => ⟨f x, x, rfl⟩, fun ⟨_, _, rfl⟩ => rfl, fun _ => rfl⟩
#align equiv.sigma_fiber_equiv Equiv.sigmaFiberEquiv
#align equiv.sigma_fiber_equiv_apply Equiv.sigmaFiberEquiv_apply
#align equiv.sigma_fiber_equiv_symm_apply_fst Equiv.sigmaFiberEquiv_symm_apply_fst
#align equiv.sigma_fiber_equiv_symm_apply_snd_coe Equiv.sigmaFiberEquiv_symm_apply_snd_coe
def sigmaEquivOptionOfInhabited (α : Type u) [Inhabited α] [DecidableEq α] :
Σ β : Type u, α ≃ Option β where
fst := {a // a ≠ default}
snd.toFun a := if h : a = default then none else some ⟨a, h⟩
snd.invFun := Option.elim' default (↑)
snd.left_inv a := by dsimp only; split_ifs <;> simp [*]
snd.right_inv
| none => by simp
| some ⟨a, ha⟩ => dif_neg ha
#align equiv.sigma_equiv_option_of_inhabited Equiv.sigmaEquivOptionOfInhabited
end
section
def piCongrRight {β₁ β₂ : α → Sort*} (F : ∀ a, β₁ a ≃ β₂ a) : (∀ a, β₁ a) ≃ (∀ a, β₂ a) :=
⟨fun H a => F a (H a), fun H a => (F a).symm (H a), fun H => funext <| by simp,
fun H => funext <| by simp⟩
#align equiv.Pi_congr_right Equiv.piCongrRight
@[simps apply]
def piComm (φ : α → β → Sort*) : (∀ a b, φ a b) ≃ ∀ b a, φ a b :=
⟨swap, swap, fun _ => rfl, fun _ => rfl⟩
#align equiv.Pi_comm Equiv.piComm
#align equiv.Pi_comm_apply Equiv.piComm_apply
@[simp]
theorem piComm_symm {φ : α → β → Sort*} : (piComm φ).symm = (piComm <| swap φ) :=
rfl
#align equiv.Pi_comm_symm Equiv.piComm_symm
def piCurry {β : α → Type*} (γ : ∀ a, β a → Type*) :
(∀ x : Σ i, β i, γ x.1 x.2) ≃ ∀ a b, γ a b where
toFun := Sigma.curry
invFun := Sigma.uncurry
left_inv := Sigma.uncurry_curry
right_inv := Sigma.curry_uncurry
#align equiv.Pi_curry Equiv.piCurry
-- `simps` overapplies these but `simps (config := .asFn)` under-applies them
@[simp] theorem piCurry_apply {β : α → Type*} (γ : ∀ a, β a → Type*)
(f : ∀ x : Σ i, β i, γ x.1 x.2) :
piCurry γ f = Sigma.curry f :=
rfl
@[simp] theorem piCurry_symm_apply {β : α → Type*} (γ : ∀ a, β a → Type*) (f : ∀ a b, γ a b) :
(piCurry γ).symm f = Sigma.uncurry f :=
rfl
end
section
def arrowProdEquivProdArrow (α β γ : Type*) : (γ → α × β) ≃ (γ → α) × (γ → β) where
toFun := fun f => (fun c => (f c).1, fun c => (f c).2)
invFun := fun p c => (p.1 c, p.2 c)
left_inv := fun f => rfl
right_inv := fun p => by cases p; rfl
#align equiv.arrow_prod_equiv_prod_arrow Equiv.arrowProdEquivProdArrow
open Sum
@[simps]
def sumPiEquivProdPi (π : ι ⊕ ι' → Type*) : (∀ i, π i) ≃ (∀ i, π (inl i)) × ∀ i', π (inr i') where
toFun f := ⟨fun i => f (inl i), fun i' => f (inr i')⟩
invFun g := Sum.rec g.1 g.2
left_inv f := by ext (i | i) <;> rfl
right_inv g := Prod.ext rfl rfl
@[simps!]
def prodPiEquivSumPi (π : ι → Type u) (π' : ι' → Type u) :
((∀ i, π i) × ∀ i', π' i') ≃ ∀ i, Sum.elim π π' i :=
sumPiEquivProdPi (Sum.elim π π') |>.symm
def sumArrowEquivProdArrow (α β γ : Type*) : (Sum α β → γ) ≃ (α → γ) × (β → γ) :=
⟨fun f => (f ∘ inl, f ∘ inr), fun p => Sum.elim p.1 p.2, fun f => by ext ⟨⟩ <;> rfl, fun p => by
cases p
rfl⟩
#align equiv.sum_arrow_equiv_prod_arrow Equiv.sumArrowEquivProdArrow
@[simp]
theorem sumArrowEquivProdArrow_apply_fst (f : Sum α β → γ) (a : α) :
(sumArrowEquivProdArrow α β γ f).1 a = f (inl a) :=
rfl
#align equiv.sum_arrow_equiv_prod_arrow_apply_fst Equiv.sumArrowEquivProdArrow_apply_fst
@[simp]
theorem sumArrowEquivProdArrow_apply_snd (f : Sum α β → γ) (b : β) :
(sumArrowEquivProdArrow α β γ f).2 b = f (inr b) :=
rfl
#align equiv.sum_arrow_equiv_prod_arrow_apply_snd Equiv.sumArrowEquivProdArrow_apply_snd
@[simp]
theorem sumArrowEquivProdArrow_symm_apply_inl (f : α → γ) (g : β → γ) (a : α) :
((sumArrowEquivProdArrow α β γ).symm (f, g)) (inl a) = f a :=
rfl
#align equiv.sum_arrow_equiv_prod_arrow_symm_apply_inl Equiv.sumArrowEquivProdArrow_symm_apply_inl
@[simp]
theorem sumArrowEquivProdArrow_symm_apply_inr (f : α → γ) (g : β → γ) (b : β) :
((sumArrowEquivProdArrow α β γ).symm (f, g)) (inr b) = g b :=
rfl
#align equiv.sum_arrow_equiv_prod_arrow_symm_apply_inr Equiv.sumArrowEquivProdArrow_symm_apply_inr
def sumProdDistrib (α β γ) : Sum α β × γ ≃ Sum (α × γ) (β × γ) :=
⟨fun p => p.1.map (fun x => (x, p.2)) fun x => (x, p.2),
fun s => s.elim (Prod.map inl id) (Prod.map inr id), by
rintro ⟨_ | _, _⟩ <;> rfl, by rintro (⟨_, _⟩ | ⟨_, _⟩) <;> rfl⟩
#align equiv.sum_prod_distrib Equiv.sumProdDistrib
@[simp]
theorem sumProdDistrib_apply_left (a : α) (c : γ) :
sumProdDistrib α β γ (Sum.inl a, c) = Sum.inl (a, c) :=
rfl
#align equiv.sum_prod_distrib_apply_left Equiv.sumProdDistrib_apply_left
@[simp]
theorem sumProdDistrib_apply_right (b : β) (c : γ) :
sumProdDistrib α β γ (Sum.inr b, c) = Sum.inr (b, c) :=
rfl
#align equiv.sum_prod_distrib_apply_right Equiv.sumProdDistrib_apply_right
@[simp]
theorem sumProdDistrib_symm_apply_left (a : α × γ) :
(sumProdDistrib α β γ).symm (inl a) = (inl a.1, a.2) :=
rfl
#align equiv.sum_prod_distrib_symm_apply_left Equiv.sumProdDistrib_symm_apply_left
@[simp]
theorem sumProdDistrib_symm_apply_right (b : β × γ) :
(sumProdDistrib α β γ).symm (inr b) = (inr b.1, b.2) :=
rfl
#align equiv.sum_prod_distrib_symm_apply_right Equiv.sumProdDistrib_symm_apply_right
def prodSumDistrib (α β γ) : α × Sum β γ ≃ Sum (α × β) (α × γ) :=
calc
α × Sum β γ ≃ Sum β γ × α := prodComm _ _
_ ≃ Sum (β × α) (γ × α) := sumProdDistrib _ _ _
_ ≃ Sum (α × β) (α × γ) := sumCongr (prodComm _ _) (prodComm _ _)
#align equiv.prod_sum_distrib Equiv.prodSumDistrib
@[simp]
theorem prodSumDistrib_apply_left (a : α) (b : β) :
prodSumDistrib α β γ (a, Sum.inl b) = Sum.inl (a, b) :=
rfl
#align equiv.prod_sum_distrib_apply_left Equiv.prodSumDistrib_apply_left
@[simp]
theorem prodSumDistrib_apply_right (a : α) (c : γ) :
prodSumDistrib α β γ (a, Sum.inr c) = Sum.inr (a, c) :=
rfl
#align equiv.prod_sum_distrib_apply_right Equiv.prodSumDistrib_apply_right
@[simp]
theorem prodSumDistrib_symm_apply_left (a : α × β) :
(prodSumDistrib α β γ).symm (inl a) = (a.1, inl a.2) :=
rfl
#align equiv.prod_sum_distrib_symm_apply_left Equiv.prodSumDistrib_symm_apply_left
@[simp]
theorem prodSumDistrib_symm_apply_right (a : α × γ) :
(prodSumDistrib α β γ).symm (inr a) = (a.1, inr a.2) :=
rfl
#align equiv.prod_sum_distrib_symm_apply_right Equiv.prodSumDistrib_symm_apply_right
@[simps]
def sigmaSumDistrib (α β : ι → Type*) :
(Σ i, Sum (α i) (β i)) ≃ Sum (Σ i, α i) (Σ i, β i) :=
⟨fun p => p.2.map (Sigma.mk p.1) (Sigma.mk p.1),
Sum.elim (Sigma.map id fun _ => Sum.inl) (Sigma.map id fun _ => Sum.inr), fun p => by
rcases p with ⟨i, a | b⟩ <;> rfl, fun p => by rcases p with (⟨i, a⟩ | ⟨i, b⟩) <;> rfl⟩
#align equiv.sigma_sum_distrib Equiv.sigmaSumDistrib
#align equiv.sigma_sum_distrib_apply Equiv.sigmaSumDistrib_apply
#align equiv.sigma_sum_distrib_symm_apply Equiv.sigmaSumDistrib_symm_apply
def sigmaProdDistrib (α : ι → Type*) (β : Type*) : (Σ i, α i) × β ≃ Σ i, α i × β :=
⟨fun p => ⟨p.1.1, (p.1.2, p.2)⟩, fun p => (⟨p.1, p.2.1⟩, p.2.2), fun p => by
rcases p with ⟨⟨_, _⟩, _⟩
rfl, fun p => by
rcases p with ⟨_, ⟨_, _⟩⟩
rfl⟩
#align equiv.sigma_prod_distrib Equiv.sigmaProdDistrib
def sigmaNatSucc (f : ℕ → Type u) : (Σ n, f n) ≃ Sum (f 0) (Σ n, f (n + 1)) :=
⟨fun x =>
@Sigma.casesOn ℕ f (fun _ => Sum (f 0) (Σn, f (n + 1))) x fun n =>
@Nat.casesOn (fun i => f i → Sum (f 0) (Σn : ℕ, f (n + 1))) n (fun x : f 0 => Sum.inl x)
fun (n : ℕ) (x : f n.succ) => Sum.inr ⟨n, x⟩,
Sum.elim (Sigma.mk 0) (Sigma.map Nat.succ fun _ => id), by rintro ⟨n | n, x⟩ <;> rfl, by
rintro (x | ⟨n, x⟩) <;> rfl⟩
#align equiv.sigma_nat_succ Equiv.sigmaNatSucc
@[simps]
def boolProdEquivSum (α) : Bool × α ≃ Sum α α where
toFun p := p.1.casesOn (inl p.2) (inr p.2)
invFun := Sum.elim (Prod.mk false) (Prod.mk true)
left_inv := by rintro ⟨_ | _, _⟩ <;> rfl
right_inv := by rintro (_ | _) <;> rfl
#align equiv.bool_prod_equiv_sum Equiv.boolProdEquivSum
#align equiv.bool_prod_equiv_sum_apply Equiv.boolProdEquivSum_apply
#align equiv.bool_prod_equiv_sum_symm_apply Equiv.boolProdEquivSum_symm_apply
@[simps]
def boolArrowEquivProd (α) : (Bool → α) ≃ α × α where
toFun f := (f false, f true)
invFun p b := b.casesOn p.1 p.2
left_inv _ := funext <| Bool.forall_bool.2 ⟨rfl, rfl⟩
right_inv := fun _ => rfl
#align equiv.bool_arrow_equiv_prod Equiv.boolArrowEquivProd
#align equiv.bool_arrow_equiv_prod_apply Equiv.boolArrowEquivProd_apply
#align equiv.bool_arrow_equiv_prod_symm_apply Equiv.boolArrowEquivProd_symm_apply
end
section
open Sum Nat
def natEquivNatSumPUnit : ℕ ≃ Sum ℕ PUnit where
toFun n := Nat.casesOn n (inr PUnit.unit) inl
invFun := Sum.elim Nat.succ fun _ => 0
left_inv n := by cases n <;> rfl
right_inv := by rintro (_ | _) <;> rfl
#align equiv.nat_equiv_nat_sum_punit Equiv.natEquivNatSumPUnit
def natSumPUnitEquivNat : Sum ℕ PUnit ≃ ℕ :=
natEquivNatSumPUnit.symm
#align equiv.nat_sum_punit_equiv_nat Equiv.natSumPUnitEquivNat
def intEquivNatSumNat : ℤ ≃ Sum ℕ ℕ where
toFun z := Int.casesOn z inl inr
invFun := Sum.elim Int.ofNat Int.negSucc
left_inv := by rintro (m | n) <;> rfl
right_inv := by rintro (m | n) <;> rfl
#align equiv.int_equiv_nat_sum_nat Equiv.intEquivNatSumNat
end
def listEquivOfEquiv (e : α ≃ β) : List α ≃ List β where
toFun := List.map e
invFun := List.map e.symm
left_inv l := by rw [List.map_map, e.symm_comp_self, List.map_id]
right_inv l := by rw [List.map_map, e.self_comp_symm, List.map_id]
#align equiv.list_equiv_of_equiv Equiv.listEquivOfEquiv
def uniqueCongr (e : α ≃ β) : Unique α ≃ Unique β where
toFun h := @Equiv.unique _ _ h e.symm
invFun h := @Equiv.unique _ _ h e
left_inv _ := Subsingleton.elim _ _
right_inv _ := Subsingleton.elim _ _
#align equiv.unique_congr Equiv.uniqueCongr
theorem isEmpty_congr (e : α ≃ β) : IsEmpty α ↔ IsEmpty β :=
⟨fun h => @Function.isEmpty _ _ h e.symm, fun h => @Function.isEmpty _ _ h e⟩
#align equiv.is_empty_congr Equiv.isEmpty_congr
protected theorem isEmpty (e : α ≃ β) [IsEmpty β] : IsEmpty α :=
e.isEmpty_congr.mpr ‹_›
#align equiv.is_empty Equiv.isEmpty
section
open Subtype
def subtypeEquiv {p : α → Prop} {q : β → Prop} (e : α ≃ β) (h : ∀ a, p a ↔ q (e a)) :
{ a : α // p a } ≃ { b : β // q b } where
toFun a := ⟨e a, (h _).mp a.property⟩
invFun b := ⟨e.symm b, (h _).mpr ((e.apply_symm_apply b).symm ▸ b.property)⟩
left_inv a := Subtype.ext <| by simp
right_inv b := Subtype.ext <| by simp
#align equiv.subtype_equiv Equiv.subtypeEquiv
lemma coe_subtypeEquiv_eq_map {X Y : Type*} {p : X → Prop} {q : Y → Prop} (e : X ≃ Y)
(h : ∀ x, p x ↔ q (e x)) : ⇑(e.subtypeEquiv h) = Subtype.map e (h · |>.mp) :=
rfl
@[simp]
theorem subtypeEquiv_refl {p : α → Prop} (h : ∀ a, p a ↔ p (Equiv.refl _ a) := fun a => Iff.rfl) :
(Equiv.refl α).subtypeEquiv h = Equiv.refl { a : α // p a } := by
ext
rfl
#align equiv.subtype_equiv_refl Equiv.subtypeEquiv_refl
@[simp]
theorem subtypeEquiv_symm {p : α → Prop} {q : β → Prop} (e : α ≃ β) (h : ∀ a : α, p a ↔ q (e a)) :
(e.subtypeEquiv h).symm =
e.symm.subtypeEquiv fun a => by
convert (h <| e.symm a).symm
exact (e.apply_symm_apply a).symm :=
rfl
#align equiv.subtype_equiv_symm Equiv.subtypeEquiv_symm
@[simp]
theorem subtypeEquiv_trans {p : α → Prop} {q : β → Prop} {r : γ → Prop} (e : α ≃ β) (f : β ≃ γ)
(h : ∀ a : α, p a ↔ q (e a)) (h' : ∀ b : β, q b ↔ r (f b)) :
(e.subtypeEquiv h).trans (f.subtypeEquiv h')
= (e.trans f).subtypeEquiv fun a => (h a).trans (h' <| e a) :=
rfl
#align equiv.subtype_equiv_trans Equiv.subtypeEquiv_trans
@[simp]
theorem subtypeEquiv_apply {p : α → Prop} {q : β → Prop}
(e : α ≃ β) (h : ∀ a : α, p a ↔ q (e a)) (x : { x // p x }) :
e.subtypeEquiv h x = ⟨e x, (h _).1 x.2⟩ :=
rfl
#align equiv.subtype_equiv_apply Equiv.subtypeEquiv_apply
@[simps!]
def subtypeEquivRight {p q : α → Prop} (e : ∀ x, p x ↔ q x) : { x // p x } ≃ { x // q x } :=
subtypeEquiv (Equiv.refl _) e
#align equiv.subtype_equiv_right Equiv.subtypeEquivRight
#align equiv.subtype_equiv_right_apply_coe Equiv.subtypeEquivRight_apply_coe
#align equiv.subtype_equiv_right_symm_apply_coe Equiv.subtypeEquivRight_symm_apply_coe
lemma subtypeEquivRight_apply {p q : α → Prop} (e : ∀ x, p x ↔ q x)
(z : { x // p x }) : subtypeEquivRight e z = ⟨z, (e z.1).mp z.2⟩ := rfl
lemma subtypeEquivRight_symm_apply {p q : α → Prop} (e : ∀ x, p x ↔ q x)
(z : { x // q x }) : (subtypeEquivRight e).symm z = ⟨z, (e z.1).mpr z.2⟩ := rfl
def subtypeEquivOfSubtype {p : β → Prop} (e : α ≃ β) : { a : α // p (e a) } ≃ { b : β // p b } :=
subtypeEquiv e <| by simp
#align equiv.subtype_equiv_of_subtype Equiv.subtypeEquivOfSubtype
def subtypeEquivOfSubtype' {p : α → Prop} (e : α ≃ β) :
{ a : α // p a } ≃ { b : β // p (e.symm b) } :=
e.symm.subtypeEquivOfSubtype.symm
#align equiv.subtype_equiv_of_subtype' Equiv.subtypeEquivOfSubtype'
def subtypeEquivProp {p q : α → Prop} (h : p = q) : Subtype p ≃ Subtype q :=
subtypeEquiv (Equiv.refl α) fun _ => h ▸ Iff.rfl
#align equiv.subtype_equiv_prop Equiv.subtypeEquivProp
@[simps]
def subtypeSubtypeEquivSubtypeExists (p : α → Prop) (q : Subtype p → Prop) :
Subtype q ≃ { a : α // ∃ h : p a, q ⟨a, h⟩ } :=
⟨fun a =>
⟨a.1, a.1.2, by
rcases a with ⟨⟨a, hap⟩, haq⟩
exact haq⟩,
fun a => ⟨⟨a, a.2.fst⟩, a.2.snd⟩, fun ⟨⟨a, ha⟩, h⟩ => rfl, fun ⟨a, h₁, h₂⟩ => rfl⟩
#align equiv.subtype_subtype_equiv_subtype_exists Equiv.subtypeSubtypeEquivSubtypeExists
#align equiv.subtype_subtype_equiv_subtype_exists_symm_apply_coe_coe Equiv.subtypeSubtypeEquivSubtypeExists_symm_apply_coe_coe
#align equiv.subtype_subtype_equiv_subtype_exists_apply_coe Equiv.subtypeSubtypeEquivSubtypeExists_apply_coe
@[simps!]
def subtypeSubtypeEquivSubtypeInter {α : Type u} (p q : α → Prop) :
{ x : Subtype p // q x.1 } ≃ Subtype fun x => p x ∧ q x :=
(subtypeSubtypeEquivSubtypeExists p _).trans <|
subtypeEquivRight fun x => @exists_prop (q x) (p x)
#align equiv.subtype_subtype_equiv_subtype_inter Equiv.subtypeSubtypeEquivSubtypeInter
#align equiv.subtype_subtype_equiv_subtype_inter_apply_coe Equiv.subtypeSubtypeEquivSubtypeInter_apply_coe
#align equiv.subtype_subtype_equiv_subtype_inter_symm_apply_coe_coe Equiv.subtypeSubtypeEquivSubtypeInter_symm_apply_coe_coe
@[simps!]
def subtypeSubtypeEquivSubtype {p q : α → Prop} (h : ∀ {x}, q x → p x) :
{ x : Subtype p // q x.1 } ≃ Subtype q :=
(subtypeSubtypeEquivSubtypeInter p _).trans <| subtypeEquivRight fun _ => and_iff_right_of_imp h
#align equiv.subtype_subtype_equiv_subtype Equiv.subtypeSubtypeEquivSubtype
#align equiv.subtype_subtype_equiv_subtype_apply_coe Equiv.subtypeSubtypeEquivSubtype_apply_coe
#align equiv.subtype_subtype_equiv_subtype_symm_apply_coe_coe Equiv.subtypeSubtypeEquivSubtype_symm_apply_coe_coe
@[simps apply symm_apply]
def subtypeUnivEquiv {p : α → Prop} (h : ∀ x, p x) : Subtype p ≃ α :=
⟨fun x => x, fun x => ⟨x, h x⟩, fun _ => Subtype.eq rfl, fun _ => rfl⟩
#align equiv.subtype_univ_equiv Equiv.subtypeUnivEquiv
#align equiv.subtype_univ_equiv_apply Equiv.subtypeUnivEquiv_apply
#align equiv.subtype_univ_equiv_symm_apply Equiv.subtypeUnivEquiv_symm_apply
def subtypeSigmaEquiv (p : α → Type v) (q : α → Prop) : { y : Sigma p // q y.1 } ≃ Σ x :
Subtype q, p x.1 :=
⟨fun x => ⟨⟨x.1.1, x.2⟩, x.1.2⟩, fun x => ⟨⟨x.1.1, x.2⟩, x.1.2⟩, fun _ => rfl,
fun _ => rfl⟩
#align equiv.subtype_sigma_equiv Equiv.subtypeSigmaEquiv
def sigmaSubtypeEquivOfSubset (p : α → Type v) (q : α → Prop) (h : ∀ x, p x → q x) :
(Σ x : Subtype q, p x) ≃ Σ x : α, p x :=
(subtypeSigmaEquiv p q).symm.trans <| subtypeUnivEquiv fun x => h x.1 x.2
#align equiv.sigma_subtype_equiv_of_subset Equiv.sigmaSubtypeEquivOfSubset
def sigmaSubtypeFiberEquiv {α β : Type*} (f : α → β) (p : β → Prop) (h : ∀ x, p (f x)) :
(Σ y : Subtype p, { x : α // f x = y }) ≃ α :=
calc
_ ≃ Σy : β, { x : α // f x = y } := sigmaSubtypeEquivOfSubset _ p fun _ ⟨x, h'⟩ => h' ▸ h x
_ ≃ α := sigmaFiberEquiv f
#align equiv.sigma_subtype_fiber_equiv Equiv.sigmaSubtypeFiberEquiv
def sigmaSubtypeFiberEquivSubtype {α β : Type*} (f : α → β) {p : α → Prop} {q : β → Prop}
(h : ∀ x, p x ↔ q (f x)) : (Σ y : Subtype q, { x : α // f x = y }) ≃ Subtype p :=
calc
(Σy : Subtype q, { x : α // f x = y }) ≃ Σy :
Subtype q, { x : Subtype p // Subtype.mk (f x) ((h x).1 x.2) = y } := by {
apply sigmaCongrRight
intro y
apply Equiv.symm
refine (subtypeSubtypeEquivSubtypeExists _ _).trans (subtypeEquivRight ?_)
intro x
exact ⟨fun ⟨hp, h'⟩ => congr_arg Subtype.val h', fun h' => ⟨(h x).2 (h'.symm ▸ y.2),
Subtype.eq h'⟩⟩ }
_ ≃ Subtype p := sigmaFiberEquiv fun x : Subtype p => (⟨f x, (h x).1 x.property⟩ : Subtype q)
#align equiv.sigma_subtype_fiber_equiv_subtype Equiv.sigmaSubtypeFiberEquivSubtype
def sigmaOptionEquivOfSome (p : Option α → Type v) (h : p none → False) :
(Σ x : Option α, p x) ≃ Σ x : α, p (some x) :=
haveI h' : ∀ x, p x → x.isSome := by
intro x
cases x
· intro n
exfalso
exact h n
· intro _
exact rfl
(sigmaSubtypeEquivOfSubset _ _ h').symm.trans (sigmaCongrLeft' (optionIsSomeEquiv α))
#align equiv.sigma_option_equiv_of_some Equiv.sigmaOptionEquivOfSome
def piEquivSubtypeSigma (ι) (π : ι → Type*) :
(∀ i, π i) ≃ { f : ι → Σ i, π i // ∀ i, (f i).1 = i } where
toFun := fun f => ⟨fun i => ⟨i, f i⟩, fun i => rfl⟩
invFun := fun f i => by rw [← f.2 i]; exact (f.1 i).2
left_inv := fun f => funext fun i => rfl
right_inv := fun ⟨f, hf⟩ =>
Subtype.eq <| funext fun i =>
Sigma.eq (hf i).symm <| eq_of_heq <| rec_heq_of_heq _ <| by simp
#align equiv.pi_equiv_subtype_sigma Equiv.piEquivSubtypeSigma
def subtypePiEquivPi {β : α → Sort v} {p : ∀ a, β a → Prop} :
{ f : ∀ a, β a // ∀ a, p a (f a) } ≃ ∀ a, { b : β a // p a b } where
toFun := fun f a => ⟨f.1 a, f.2 a⟩
invFun := fun f => ⟨fun a => (f a).1, fun a => (f a).2⟩
left_inv := by
rintro ⟨f, h⟩
rfl
right_inv := by
rintro f
funext a
exact Subtype.ext_val rfl
#align equiv.subtype_pi_equiv_pi Equiv.subtypePiEquivPi
def subtypeProdEquivProd {p : α → Prop} {q : β → Prop} :
{ c : α × β // p c.1 ∧ q c.2 } ≃ { a // p a } × { b // q b } where
toFun := fun x => ⟨⟨x.1.1, x.2.1⟩, ⟨x.1.2, x.2.2⟩⟩
invFun := fun x => ⟨⟨x.1.1, x.2.1⟩, ⟨x.1.2, x.2.2⟩⟩
left_inv := fun ⟨⟨_, _⟩, ⟨_, _⟩⟩ => rfl
right_inv := fun ⟨⟨_, _⟩, ⟨_, _⟩⟩ => rfl
#align equiv.subtype_prod_equiv_prod Equiv.subtypeProdEquivProd
def prodSubtypeFstEquivSubtypeProd {p : α → Prop} : {s : α × β // p s.1} ≃ {a // p a} × β where
toFun x := ⟨⟨x.1.1, x.2⟩, x.1.2⟩
invFun x := ⟨⟨x.1.1, x.2⟩, x.1.2⟩
left_inv _ := rfl
right_inv _ := rfl
def subtypeProdEquivSigmaSubtype (p : α → β → Prop) :
{ x : α × β // p x.1 x.2 } ≃ Σa, { b : β // p a b } where
toFun x := ⟨x.1.1, x.1.2, x.property⟩
invFun x := ⟨⟨x.1, x.2⟩, x.2.property⟩
left_inv x := by ext <;> rfl
right_inv := fun ⟨a, b, pab⟩ => rfl
#align equiv.subtype_prod_equiv_sigma_subtype Equiv.subtypeProdEquivSigmaSubtype
@[simps]
def piEquivPiSubtypeProd {α : Type*} (p : α → Prop) (β : α → Type*) [DecidablePred p] :
(∀ i : α, β i) ≃ (∀ i : { x // p x }, β i) × ∀ i : { x // ¬p x }, β i where
toFun f := (fun x => f x, fun x => f x)
invFun f x := if h : p x then f.1 ⟨x, h⟩ else f.2 ⟨x, h⟩
right_inv := by
rintro ⟨f, g⟩
ext1 <;>
· ext y
rcases y with ⟨val, property⟩
simp only [property, dif_pos, dif_neg, not_false_iff, Subtype.coe_mk]
left_inv f := by
ext x
by_cases h:p x <;>
· simp only [h, dif_neg, dif_pos, not_false_iff]
#align equiv.pi_equiv_pi_subtype_prod Equiv.piEquivPiSubtypeProd
#align equiv.pi_equiv_pi_subtype_prod_symm_apply Equiv.piEquivPiSubtypeProd_symm_apply
#align equiv.pi_equiv_pi_subtype_prod_apply Equiv.piEquivPiSubtypeProd_apply
@[simps]
def piSplitAt {α : Type*} [DecidableEq α] (i : α) (β : α → Type*) :
(∀ j, β j) ≃ β i × ∀ j : { j // j ≠ i }, β j where
toFun f := ⟨f i, fun j => f j⟩
invFun f j := if h : j = i then h.symm.rec f.1 else f.2 ⟨j, h⟩
right_inv f := by
ext x
exacts [dif_pos rfl, (dif_neg x.2).trans (by cases x; rfl)]
left_inv f := by
ext x
dsimp only
split_ifs with h
· subst h; rfl
· rfl
#align equiv.pi_split_at Equiv.piSplitAt
#align equiv.pi_split_at_apply Equiv.piSplitAt_apply
#align equiv.pi_split_at_symm_apply Equiv.piSplitAt_symm_apply
@[simps!]
def funSplitAt {α : Type*} [DecidableEq α] (i : α) (β : Type*) :
(α → β) ≃ β × ({ j // j ≠ i } → β) :=
piSplitAt i _
#align equiv.fun_split_at Equiv.funSplitAt
#align equiv.fun_split_at_symm_apply Equiv.funSplitAt_symm_apply
#align equiv.fun_split_at_apply Equiv.funSplitAt_apply
end
instance : CanLift (α → β) (α ≃ β) (↑) Bijective where prf f hf := ⟨ofBijective f hf, rfl⟩
section
variable {α' β' : Type*} (e : Perm α') {p : β' → Prop} [DecidablePred p] (f : α' ≃ Subtype p)
def Perm.extendDomain : Perm β' :=
(permCongr f e).subtypeCongr (Equiv.refl _)
#align equiv.perm.extend_domain Equiv.Perm.extendDomain
@[simp]
theorem Perm.extendDomain_apply_image (a : α') : e.extendDomain f (f a) = f (e a) := by
simp [Perm.extendDomain]
#align equiv.perm.extend_domain_apply_image Equiv.Perm.extendDomain_apply_image
theorem Perm.extendDomain_apply_subtype {b : β'} (h : p b) :
e.extendDomain f b = f (e (f.symm ⟨b, h⟩)) := by
simp [Perm.extendDomain, h]
#align equiv.perm.extend_domain_apply_subtype Equiv.Perm.extendDomain_apply_subtype
theorem Perm.extendDomain_apply_not_subtype {b : β'} (h : ¬p b) : e.extendDomain f b = b := by
simp [Perm.extendDomain, h]
#align equiv.perm.extend_domain_apply_not_subtype Equiv.Perm.extendDomain_apply_not_subtype
@[simp]
theorem Perm.extendDomain_refl : Perm.extendDomain (Equiv.refl _) f = Equiv.refl _ := by
simp [Perm.extendDomain]
#align equiv.perm.extend_domain_refl Equiv.Perm.extendDomain_refl
@[simp]
theorem Perm.extendDomain_symm : (e.extendDomain f).symm = Perm.extendDomain e.symm f :=
rfl
#align equiv.perm.extend_domain_symm Equiv.Perm.extendDomain_symm
theorem Perm.extendDomain_trans (e e' : Perm α') :
(e.extendDomain f).trans (e'.extendDomain f) = Perm.extendDomain (e.trans e') f := by
simp [Perm.extendDomain, permCongr_trans]
#align equiv.perm.extend_domain_trans Equiv.Perm.extendDomain_trans
end
def subtypeQuotientEquivQuotientSubtype (p₁ : α → Prop) {s₁ : Setoid α} {s₂ : Setoid (Subtype p₁)}
(p₂ : Quotient s₁ → Prop) (hp₂ : ∀ a, p₁ a ↔ p₂ ⟦a⟧)
(h : ∀ x y : Subtype p₁, s₂.r x y ↔ s₁.r x y) : {x // p₂ x} ≃ Quotient s₂ where
toFun a :=
Quotient.hrecOn a.1 (fun a h => ⟦⟨a, (hp₂ _).2 h⟩⟧)
(fun a b hab => hfunext (by rw [Quotient.sound hab]) fun h₁ h₂ _ =>
heq_of_eq (Quotient.sound ((h _ _).2 hab)))
a.2
invFun a :=
Quotient.liftOn a (fun a => (⟨⟦a.1⟧, (hp₂ _).1 a.2⟩ : { x // p₂ x })) fun a b hab =>
Subtype.ext_val (Quotient.sound ((h _ _).1 hab))
left_inv := by exact fun ⟨a, ha⟩ => Quotient.inductionOn a (fun b hb => rfl) ha
right_inv a := Quotient.inductionOn a fun ⟨a, ha⟩ => rfl
#align equiv.subtype_quotient_equiv_quotient_subtype Equiv.subtypeQuotientEquivQuotientSubtype
@[simp]
theorem subtypeQuotientEquivQuotientSubtype_mk (p₁ : α → Prop)
[s₁ : Setoid α] [s₂ : Setoid (Subtype p₁)] (p₂ : Quotient s₁ → Prop) (hp₂ : ∀ a, p₁ a ↔ p₂ ⟦a⟧)
(h : ∀ x y : Subtype p₁, @Setoid.r _ s₂ x y ↔ (x : α) ≈ y)
(x hx) : subtypeQuotientEquivQuotientSubtype p₁ p₂ hp₂ h ⟨⟦x⟧, hx⟩ = ⟦⟨x, (hp₂ _).2 hx⟩⟧ :=
rfl
#align equiv.subtype_quotient_equiv_quotient_subtype_mk Equiv.subtypeQuotientEquivQuotientSubtype_mk
@[simp]
theorem subtypeQuotientEquivQuotientSubtype_symm_mk (p₁ : α → Prop)
[s₁ : Setoid α] [s₂ : Setoid (Subtype p₁)] (p₂ : Quotient s₁ → Prop) (hp₂ : ∀ a, p₁ a ↔ p₂ ⟦a⟧)
(h : ∀ x y : Subtype p₁, @Setoid.r _ s₂ x y ↔ (x : α) ≈ y) (x) :
(subtypeQuotientEquivQuotientSubtype p₁ p₂ hp₂ h).symm ⟦x⟧ = ⟨⟦x⟧, (hp₂ _).1 x.property⟩ :=
rfl
#align equiv.subtype_quotient_equiv_quotient_subtype_symm_mk Equiv.subtypeQuotientEquivQuotientSubtype_symm_mk
section Swap
variable [DecidableEq α]
def swapCore (a b r : α) : α :=
if r = a then b else if r = b then a else r
#align equiv.swap_core Equiv.swapCore
theorem swapCore_self (r a : α) : swapCore a a r = r := by
unfold swapCore
split_ifs <;> simp [*]
#align equiv.swap_core_self Equiv.swapCore_self
theorem swapCore_swapCore (r a b : α) : swapCore a b (swapCore a b r) = r := by
unfold swapCore
-- Porting note: cc missing.
-- `casesm` would work here, with `casesm _ = _, ¬ _ = _`,
-- if it would just continue past failures on hypotheses matching the pattern
split_ifs with h₁ h₂ h₃ h₄ h₅
· subst h₁; exact h₂
· subst h₁; rfl
· cases h₃ rfl
· exact h₄.symm
· cases h₅ rfl
· cases h₅ rfl
· rfl
#align equiv.swap_core_swap_core Equiv.swapCore_swapCore
theorem swapCore_comm (r a b : α) : swapCore a b r = swapCore b a r := by
unfold swapCore
-- Porting note: whatever solution works for `swapCore_swapCore` will work here too.
split_ifs with h₁ h₂ h₃ <;> try simp
· cases h₁; cases h₂; rfl
#align equiv.swap_core_comm Equiv.swapCore_comm
def swap (a b : α) : Perm α :=
⟨swapCore a b, swapCore a b, fun r => swapCore_swapCore r a b,
fun r => swapCore_swapCore r a b⟩
#align equiv.swap Equiv.swap
@[simp]
theorem swap_self (a : α) : swap a a = Equiv.refl _ :=
ext fun r => swapCore_self r a
#align equiv.swap_self Equiv.swap_self
theorem swap_comm (a b : α) : swap a b = swap b a :=
ext fun r => swapCore_comm r _ _
#align equiv.swap_comm Equiv.swap_comm
theorem swap_apply_def (a b x : α) : swap a b x = if x = a then b else if x = b then a else x :=
rfl
#align equiv.swap_apply_def Equiv.swap_apply_def
@[simp]
theorem swap_apply_left (a b : α) : swap a b a = b :=
if_pos rfl
#align equiv.swap_apply_left Equiv.swap_apply_left
@[simp]
theorem swap_apply_right (a b : α) : swap a b b = a := by
by_cases h:b = a <;> simp [swap_apply_def, h]
#align equiv.swap_apply_right Equiv.swap_apply_right
theorem swap_apply_of_ne_of_ne {a b x : α} : x ≠ a → x ≠ b → swap a b x = x := by
simp (config := { contextual := true }) [swap_apply_def]
#align equiv.swap_apply_of_ne_of_ne Equiv.swap_apply_of_ne_of_ne
| Mathlib/Logic/Equiv/Basic.lean | 1,665 | 1,667 | theorem eq_or_eq_of_swap_apply_ne_self {a b x : α} (h : swap a b x ≠ x) : x = a ∨ x = b := by |
contrapose! h
exact swap_apply_of_ne_of_ne h.1 h.2
|
import Mathlib.Algebra.Group.Indicator
import Mathlib.Data.Finset.Piecewise
import Mathlib.Data.Finset.Preimage
#align_import algebra.big_operators.basic from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
-- TODO
-- assert_not_exists AddCommMonoidWithOne
assert_not_exists MonoidWithZero
assert_not_exists MulAction
variable {ι κ α β γ : Type*}
open Fin Function
library_note "operator precedence of big operators"
@[to_additive (attr := simp)]
theorem map_prod [CommMonoid β] [CommMonoid γ] {G : Type*} [FunLike G β γ] [MonoidHomClass G β γ]
(g : G) (f : α → β) (s : Finset α) : g (∏ x ∈ s, f x) = ∏ x ∈ s, g (f x) := by
simp only [Finset.prod_eq_multiset_prod, map_multiset_prod, Multiset.map_map]; rfl
#align map_prod map_prod
#align map_sum map_sum
@[to_additive]
theorem MonoidHom.coe_finset_prod [MulOneClass β] [CommMonoid γ] (f : α → β →* γ) (s : Finset α) :
⇑(∏ x ∈ s, f x) = ∏ x ∈ s, ⇑(f x) :=
map_prod (MonoidHom.coeFn β γ) _ _
#align monoid_hom.coe_finset_prod MonoidHom.coe_finset_prod
#align add_monoid_hom.coe_finset_sum AddMonoidHom.coe_finset_sum
@[to_additive (attr := simp)
"See also `Finset.sum_apply`, with the same conclusion but with the weaker hypothesis
`f : α → β → γ`"]
theorem MonoidHom.finset_prod_apply [MulOneClass β] [CommMonoid γ] (f : α → β →* γ) (s : Finset α)
(b : β) : (∏ x ∈ s, f x) b = ∏ x ∈ s, f x b :=
map_prod (MonoidHom.eval b) _ _
#align monoid_hom.finset_prod_apply MonoidHom.finset_prod_apply
#align add_monoid_hom.finset_sum_apply AddMonoidHom.finset_sum_apply
variable {s s₁ s₂ : Finset α} {a : α} {f g : α → β}
namespace Finset
section CommMonoid
variable [CommMonoid β]
@[to_additive (attr := simp)]
theorem prod_empty : ∏ x ∈ ∅, f x = 1 :=
rfl
#align finset.prod_empty Finset.prod_empty
#align finset.sum_empty Finset.sum_empty
@[to_additive]
theorem prod_of_empty [IsEmpty α] (s : Finset α) : ∏ i ∈ s, f i = 1 := by
rw [eq_empty_of_isEmpty s, prod_empty]
#align finset.prod_of_empty Finset.prod_of_empty
#align finset.sum_of_empty Finset.sum_of_empty
@[to_additive (attr := simp)]
theorem prod_cons (h : a ∉ s) : ∏ x ∈ cons a s h, f x = f a * ∏ x ∈ s, f x :=
fold_cons h
#align finset.prod_cons Finset.prod_cons
#align finset.sum_cons Finset.sum_cons
@[to_additive (attr := simp)]
theorem prod_insert [DecidableEq α] : a ∉ s → ∏ x ∈ insert a s, f x = f a * ∏ x ∈ s, f x :=
fold_insert
#align finset.prod_insert Finset.prod_insert
#align finset.sum_insert Finset.sum_insert
@[to_additive (attr := simp) "The sum of `f` over `insert a s` is the same as
the sum over `s`, as long as `a` is in `s` or `f a = 0`."]
theorem prod_insert_of_eq_one_if_not_mem [DecidableEq α] (h : a ∉ s → f a = 1) :
∏ x ∈ insert a s, f x = ∏ x ∈ s, f x := by
by_cases hm : a ∈ s
· simp_rw [insert_eq_of_mem hm]
· rw [prod_insert hm, h hm, one_mul]
#align finset.prod_insert_of_eq_one_if_not_mem Finset.prod_insert_of_eq_one_if_not_mem
#align finset.sum_insert_of_eq_zero_if_not_mem Finset.sum_insert_of_eq_zero_if_not_mem
@[to_additive (attr := simp) "The sum of `f` over `insert a s` is the same as
the sum over `s`, as long as `f a = 0`."]
theorem prod_insert_one [DecidableEq α] (h : f a = 1) : ∏ x ∈ insert a s, f x = ∏ x ∈ s, f x :=
prod_insert_of_eq_one_if_not_mem fun _ => h
#align finset.prod_insert_one Finset.prod_insert_one
#align finset.sum_insert_zero Finset.sum_insert_zero
@[to_additive]
theorem prod_insert_div {M : Type*} [CommGroup M] [DecidableEq α] (ha : a ∉ s) {f : α → M} :
(∏ x ∈ insert a s, f x) / f a = ∏ x ∈ s, f x := by simp [ha]
@[to_additive (attr := simp)]
theorem prod_singleton (f : α → β) (a : α) : ∏ x ∈ singleton a, f x = f a :=
Eq.trans fold_singleton <| mul_one _
#align finset.prod_singleton Finset.prod_singleton
#align finset.sum_singleton Finset.sum_singleton
@[to_additive]
theorem prod_pair [DecidableEq α] {a b : α} (h : a ≠ b) :
(∏ x ∈ ({a, b} : Finset α), f x) = f a * f b := by
rw [prod_insert (not_mem_singleton.2 h), prod_singleton]
#align finset.prod_pair Finset.prod_pair
#align finset.sum_pair Finset.sum_pair
@[to_additive (attr := simp)]
theorem prod_const_one : (∏ _x ∈ s, (1 : β)) = 1 := by
simp only [Finset.prod, Multiset.map_const', Multiset.prod_replicate, one_pow]
#align finset.prod_const_one Finset.prod_const_one
#align finset.sum_const_zero Finset.sum_const_zero
@[to_additive (attr := simp)]
theorem prod_image [DecidableEq α] {s : Finset γ} {g : γ → α} :
(∀ x ∈ s, ∀ y ∈ s, g x = g y → x = y) → ∏ x ∈ s.image g, f x = ∏ x ∈ s, f (g x) :=
fold_image
#align finset.prod_image Finset.prod_image
#align finset.sum_image Finset.sum_image
@[to_additive (attr := simp)]
theorem prod_map (s : Finset α) (e : α ↪ γ) (f : γ → β) :
∏ x ∈ s.map e, f x = ∏ x ∈ s, f (e x) := by
rw [Finset.prod, Finset.map_val, Multiset.map_map]; rfl
#align finset.prod_map Finset.prod_map
#align finset.sum_map Finset.sum_map
@[to_additive]
lemma prod_attach (s : Finset α) (f : α → β) : ∏ x ∈ s.attach, f x = ∏ x ∈ s, f x := by
classical rw [← prod_image Subtype.coe_injective.injOn, attach_image_val]
#align finset.prod_attach Finset.prod_attach
#align finset.sum_attach Finset.sum_attach
@[to_additive (attr := congr)]
theorem prod_congr (h : s₁ = s₂) : (∀ x ∈ s₂, f x = g x) → s₁.prod f = s₂.prod g := by
rw [h]; exact fold_congr
#align finset.prod_congr Finset.prod_congr
#align finset.sum_congr Finset.sum_congr
@[to_additive]
theorem prod_eq_one {f : α → β} {s : Finset α} (h : ∀ x ∈ s, f x = 1) : ∏ x ∈ s, f x = 1 :=
calc
∏ x ∈ s, f x = ∏ _x ∈ s, 1 := Finset.prod_congr rfl h
_ = 1 := Finset.prod_const_one
#align finset.prod_eq_one Finset.prod_eq_one
#align finset.sum_eq_zero Finset.sum_eq_zero
@[to_additive]
theorem prod_disjUnion (h) :
∏ x ∈ s₁.disjUnion s₂ h, f x = (∏ x ∈ s₁, f x) * ∏ x ∈ s₂, f x := by
refine Eq.trans ?_ (fold_disjUnion h)
rw [one_mul]
rfl
#align finset.prod_disj_union Finset.prod_disjUnion
#align finset.sum_disj_union Finset.sum_disjUnion
@[to_additive]
theorem prod_disjiUnion (s : Finset ι) (t : ι → Finset α) (h) :
∏ x ∈ s.disjiUnion t h, f x = ∏ i ∈ s, ∏ x ∈ t i, f x := by
refine Eq.trans ?_ (fold_disjiUnion h)
dsimp [Finset.prod, Multiset.prod, Multiset.fold, Finset.disjUnion, Finset.fold]
congr
exact prod_const_one.symm
#align finset.prod_disj_Union Finset.prod_disjiUnion
#align finset.sum_disj_Union Finset.sum_disjiUnion
@[to_additive]
theorem prod_union_inter [DecidableEq α] :
(∏ x ∈ s₁ ∪ s₂, f x) * ∏ x ∈ s₁ ∩ s₂, f x = (∏ x ∈ s₁, f x) * ∏ x ∈ s₂, f x :=
fold_union_inter
#align finset.prod_union_inter Finset.prod_union_inter
#align finset.sum_union_inter Finset.sum_union_inter
@[to_additive]
theorem prod_union [DecidableEq α] (h : Disjoint s₁ s₂) :
∏ x ∈ s₁ ∪ s₂, f x = (∏ x ∈ s₁, f x) * ∏ x ∈ s₂, f x := by
rw [← prod_union_inter, disjoint_iff_inter_eq_empty.mp h]; exact (mul_one _).symm
#align finset.prod_union Finset.prod_union
#align finset.sum_union Finset.sum_union
@[to_additive]
theorem prod_filter_mul_prod_filter_not
(s : Finset α) (p : α → Prop) [DecidablePred p] [∀ x, Decidable (¬p x)] (f : α → β) :
(∏ x ∈ s.filter p, f x) * ∏ x ∈ s.filter fun x => ¬p x, f x = ∏ x ∈ s, f x := by
have := Classical.decEq α
rw [← prod_union (disjoint_filter_filter_neg s s p), filter_union_filter_neg_eq]
#align finset.prod_filter_mul_prod_filter_not Finset.prod_filter_mul_prod_filter_not
#align finset.sum_filter_add_sum_filter_not Finset.sum_filter_add_sum_filter_not
section
open Finset
variable [Fintype α] [CommMonoid β]
@[to_additive]
theorem IsCompl.prod_mul_prod {s t : Finset α} (h : IsCompl s t) (f : α → β) :
(∏ i ∈ s, f i) * ∏ i ∈ t, f i = ∏ i, f i :=
(Finset.prod_disjUnion h.disjoint).symm.trans <| by
classical rw [Finset.disjUnion_eq_union, ← Finset.sup_eq_union, h.sup_eq_top]; rfl
#align is_compl.prod_mul_prod IsCompl.prod_mul_prod
#align is_compl.sum_add_sum IsCompl.sum_add_sum
end
namespace Finset
section CommMonoid
variable [CommMonoid β]
@[to_additive "Adding the sums of a function over `s` and over `sᶜ` gives the whole sum.
For a version expressed with subtypes, see `Fintype.sum_subtype_add_sum_subtype`. "]
theorem prod_mul_prod_compl [Fintype α] [DecidableEq α] (s : Finset α) (f : α → β) :
(∏ i ∈ s, f i) * ∏ i ∈ sᶜ, f i = ∏ i, f i :=
IsCompl.prod_mul_prod isCompl_compl f
#align finset.prod_mul_prod_compl Finset.prod_mul_prod_compl
#align finset.sum_add_sum_compl Finset.sum_add_sum_compl
@[to_additive]
theorem prod_compl_mul_prod [Fintype α] [DecidableEq α] (s : Finset α) (f : α → β) :
(∏ i ∈ sᶜ, f i) * ∏ i ∈ s, f i = ∏ i, f i :=
(@isCompl_compl _ s _).symm.prod_mul_prod f
#align finset.prod_compl_mul_prod Finset.prod_compl_mul_prod
#align finset.sum_compl_add_sum Finset.sum_compl_add_sum
@[to_additive]
theorem prod_sdiff [DecidableEq α] (h : s₁ ⊆ s₂) :
(∏ x ∈ s₂ \ s₁, f x) * ∏ x ∈ s₁, f x = ∏ x ∈ s₂, f x := by
rw [← prod_union sdiff_disjoint, sdiff_union_of_subset h]
#align finset.prod_sdiff Finset.prod_sdiff
#align finset.sum_sdiff Finset.sum_sdiff
@[to_additive]
theorem prod_subset_one_on_sdiff [DecidableEq α] (h : s₁ ⊆ s₂) (hg : ∀ x ∈ s₂ \ s₁, g x = 1)
(hfg : ∀ x ∈ s₁, f x = g x) : ∏ i ∈ s₁, f i = ∏ i ∈ s₂, g i := by
rw [← prod_sdiff h, prod_eq_one hg, one_mul]
exact prod_congr rfl hfg
#align finset.prod_subset_one_on_sdiff Finset.prod_subset_one_on_sdiff
#align finset.sum_subset_zero_on_sdiff Finset.sum_subset_zero_on_sdiff
@[to_additive]
theorem prod_subset (h : s₁ ⊆ s₂) (hf : ∀ x ∈ s₂, x ∉ s₁ → f x = 1) :
∏ x ∈ s₁, f x = ∏ x ∈ s₂, f x :=
haveI := Classical.decEq α
prod_subset_one_on_sdiff h (by simpa) fun _ _ => rfl
#align finset.prod_subset Finset.prod_subset
#align finset.sum_subset Finset.sum_subset
@[to_additive (attr := simp)]
theorem prod_disj_sum (s : Finset α) (t : Finset γ) (f : Sum α γ → β) :
∏ x ∈ s.disjSum t, f x = (∏ x ∈ s, f (Sum.inl x)) * ∏ x ∈ t, f (Sum.inr x) := by
rw [← map_inl_disjUnion_map_inr, prod_disjUnion, prod_map, prod_map]
rfl
#align finset.prod_disj_sum Finset.prod_disj_sum
#align finset.sum_disj_sum Finset.sum_disj_sum
@[to_additive]
theorem prod_sum_elim (s : Finset α) (t : Finset γ) (f : α → β) (g : γ → β) :
∏ x ∈ s.disjSum t, Sum.elim f g x = (∏ x ∈ s, f x) * ∏ x ∈ t, g x := by simp
#align finset.prod_sum_elim Finset.prod_sum_elim
#align finset.sum_sum_elim Finset.sum_sum_elim
@[to_additive]
theorem prod_biUnion [DecidableEq α] {s : Finset γ} {t : γ → Finset α}
(hs : Set.PairwiseDisjoint (↑s) t) : ∏ x ∈ s.biUnion t, f x = ∏ x ∈ s, ∏ i ∈ t x, f i := by
rw [← disjiUnion_eq_biUnion _ _ hs, prod_disjiUnion]
#align finset.prod_bUnion Finset.prod_biUnion
#align finset.sum_bUnion Finset.sum_biUnion
@[to_additive "Sum over a sigma type equals the sum of fiberwise sums. For rewriting
in the reverse direction, use `Finset.sum_sigma'`"]
theorem prod_sigma {σ : α → Type*} (s : Finset α) (t : ∀ a, Finset (σ a)) (f : Sigma σ → β) :
∏ x ∈ s.sigma t, f x = ∏ a ∈ s, ∏ s ∈ t a, f ⟨a, s⟩ := by
simp_rw [← disjiUnion_map_sigma_mk, prod_disjiUnion, prod_map, Function.Embedding.sigmaMk_apply]
#align finset.prod_sigma Finset.prod_sigma
#align finset.sum_sigma Finset.sum_sigma
@[to_additive]
theorem prod_sigma' {σ : α → Type*} (s : Finset α) (t : ∀ a, Finset (σ a)) (f : ∀ a, σ a → β) :
(∏ a ∈ s, ∏ s ∈ t a, f a s) = ∏ x ∈ s.sigma t, f x.1 x.2 :=
Eq.symm <| prod_sigma s t fun x => f x.1 x.2
#align finset.prod_sigma' Finset.prod_sigma'
#align finset.sum_sigma' Finset.sum_sigma'
@[to_additive "Taking a sum over `univ.pi t` is the same as taking the sum over
`Fintype.piFinset t`. `univ.pi t` and `Fintype.piFinset t` are essentially the same `Finset`,
but differ in the type of their element, `univ.pi t` is a `Finset (Π a ∈ univ, t a)` and
`Fintype.piFinset t` is a `Finset (Π a, t a)`."]
lemma prod_univ_pi [DecidableEq ι] [Fintype ι] {κ : ι → Type*} (t : ∀ i, Finset (κ i))
(f : (∀ i ∈ (univ : Finset ι), κ i) → β) :
∏ x ∈ univ.pi t, f x = ∏ x ∈ Fintype.piFinset t, f fun a _ ↦ x a := by
apply prod_nbij' (fun x i ↦ x i $ mem_univ _) (fun x i _ ↦ x i) <;> simp
#align finset.prod_univ_pi Finset.prod_univ_pi
#align finset.sum_univ_pi Finset.sum_univ_pi
@[to_additive (attr := simp)]
lemma prod_diag [DecidableEq α] (s : Finset α) (f : α × α → β) :
∏ i ∈ s.diag, f i = ∏ i ∈ s, f (i, i) := by
apply prod_nbij' Prod.fst (fun i ↦ (i, i)) <;> simp
@[to_additive]
theorem prod_finset_product (r : Finset (γ × α)) (s : Finset γ) (t : γ → Finset α)
(h : ∀ p : γ × α, p ∈ r ↔ p.1 ∈ s ∧ p.2 ∈ t p.1) {f : γ × α → β} :
∏ p ∈ r, f p = ∏ c ∈ s, ∏ a ∈ t c, f (c, a) := by
refine Eq.trans ?_ (prod_sigma s t fun p => f (p.1, p.2))
apply prod_equiv (Equiv.sigmaEquivProd _ _).symm <;> simp [h]
#align finset.prod_finset_product Finset.prod_finset_product
#align finset.sum_finset_product Finset.sum_finset_product
@[to_additive]
theorem prod_finset_product' (r : Finset (γ × α)) (s : Finset γ) (t : γ → Finset α)
(h : ∀ p : γ × α, p ∈ r ↔ p.1 ∈ s ∧ p.2 ∈ t p.1) {f : γ → α → β} :
∏ p ∈ r, f p.1 p.2 = ∏ c ∈ s, ∏ a ∈ t c, f c a :=
prod_finset_product r s t h
#align finset.prod_finset_product' Finset.prod_finset_product'
#align finset.sum_finset_product' Finset.sum_finset_product'
@[to_additive]
theorem prod_finset_product_right (r : Finset (α × γ)) (s : Finset γ) (t : γ → Finset α)
(h : ∀ p : α × γ, p ∈ r ↔ p.2 ∈ s ∧ p.1 ∈ t p.2) {f : α × γ → β} :
∏ p ∈ r, f p = ∏ c ∈ s, ∏ a ∈ t c, f (a, c) := by
refine Eq.trans ?_ (prod_sigma s t fun p => f (p.2, p.1))
apply prod_equiv ((Equiv.prodComm _ _).trans (Equiv.sigmaEquivProd _ _).symm) <;> simp [h]
#align finset.prod_finset_product_right Finset.prod_finset_product_right
#align finset.sum_finset_product_right Finset.sum_finset_product_right
@[to_additive]
theorem prod_finset_product_right' (r : Finset (α × γ)) (s : Finset γ) (t : γ → Finset α)
(h : ∀ p : α × γ, p ∈ r ↔ p.2 ∈ s ∧ p.1 ∈ t p.2) {f : α → γ → β} :
∏ p ∈ r, f p.1 p.2 = ∏ c ∈ s, ∏ a ∈ t c, f a c :=
prod_finset_product_right r s t h
#align finset.prod_finset_product_right' Finset.prod_finset_product_right'
#align finset.sum_finset_product_right' Finset.sum_finset_product_right'
@[to_additive]
theorem prod_image' [DecidableEq α] {s : Finset γ} {g : γ → α} (h : γ → β)
(eq : ∀ c ∈ s, f (g c) = ∏ x ∈ s.filter fun c' => g c' = g c, h x) :
∏ x ∈ s.image g, f x = ∏ x ∈ s, h x :=
calc
∏ x ∈ s.image g, f x = ∏ x ∈ s.image g, ∏ x ∈ s.filter fun c' => g c' = x, h x :=
(prod_congr rfl) fun _x hx =>
let ⟨c, hcs, hc⟩ := mem_image.1 hx
hc ▸ eq c hcs
_ = ∏ x ∈ s, h x := prod_fiberwise_of_maps_to (fun _x => mem_image_of_mem g) _
#align finset.prod_image' Finset.prod_image'
#align finset.sum_image' Finset.sum_image'
@[to_additive]
theorem prod_mul_distrib : ∏ x ∈ s, f x * g x = (∏ x ∈ s, f x) * ∏ x ∈ s, g x :=
Eq.trans (by rw [one_mul]; rfl) fold_op_distrib
#align finset.prod_mul_distrib Finset.prod_mul_distrib
#align finset.sum_add_distrib Finset.sum_add_distrib
@[to_additive]
lemma prod_mul_prod_comm (f g h i : α → β) :
(∏ a ∈ s, f a * g a) * ∏ a ∈ s, h a * i a = (∏ a ∈ s, f a * h a) * ∏ a ∈ s, g a * i a := by
simp_rw [prod_mul_distrib, mul_mul_mul_comm]
@[to_additive]
theorem prod_product {s : Finset γ} {t : Finset α} {f : γ × α → β} :
∏ x ∈ s ×ˢ t, f x = ∏ x ∈ s, ∏ y ∈ t, f (x, y) :=
prod_finset_product (s ×ˢ t) s (fun _a => t) fun _p => mem_product
#align finset.prod_product Finset.prod_product
#align finset.sum_product Finset.sum_product
@[to_additive "An uncurried version of `Finset.sum_product`"]
theorem prod_product' {s : Finset γ} {t : Finset α} {f : γ → α → β} :
∏ x ∈ s ×ˢ t, f x.1 x.2 = ∏ x ∈ s, ∏ y ∈ t, f x y :=
prod_product
#align finset.prod_product' Finset.prod_product'
#align finset.sum_product' Finset.sum_product'
@[to_additive]
theorem prod_product_right {s : Finset γ} {t : Finset α} {f : γ × α → β} :
∏ x ∈ s ×ˢ t, f x = ∏ y ∈ t, ∏ x ∈ s, f (x, y) :=
prod_finset_product_right (s ×ˢ t) t (fun _a => s) fun _p => mem_product.trans and_comm
#align finset.prod_product_right Finset.prod_product_right
#align finset.sum_product_right Finset.sum_product_right
@[to_additive "An uncurried version of `Finset.sum_product_right`"]
theorem prod_product_right' {s : Finset γ} {t : Finset α} {f : γ → α → β} :
∏ x ∈ s ×ˢ t, f x.1 x.2 = ∏ y ∈ t, ∏ x ∈ s, f x y :=
prod_product_right
#align finset.prod_product_right' Finset.prod_product_right'
#align finset.sum_product_right' Finset.sum_product_right'
@[to_additive "Generalization of `Finset.sum_comm` to the case when the inner `Finset`s depend on
the outer variable."]
theorem prod_comm' {s : Finset γ} {t : γ → Finset α} {t' : Finset α} {s' : α → Finset γ}
(h : ∀ x y, x ∈ s ∧ y ∈ t x ↔ x ∈ s' y ∧ y ∈ t') {f : γ → α → β} :
(∏ x ∈ s, ∏ y ∈ t x, f x y) = ∏ y ∈ t', ∏ x ∈ s' y, f x y := by
classical
have : ∀ z : γ × α, (z ∈ s.biUnion fun x => (t x).map <| Function.Embedding.sectr x _) ↔
z.1 ∈ s ∧ z.2 ∈ t z.1 := by
rintro ⟨x, y⟩
simp only [mem_biUnion, mem_map, Function.Embedding.sectr_apply, Prod.mk.injEq,
exists_eq_right, ← and_assoc]
exact
(prod_finset_product' _ _ _ this).symm.trans
((prod_finset_product_right' _ _ _) fun ⟨x, y⟩ => (this _).trans ((h x y).trans and_comm))
#align finset.prod_comm' Finset.prod_comm'
#align finset.sum_comm' Finset.sum_comm'
@[to_additive]
theorem prod_comm {s : Finset γ} {t : Finset α} {f : γ → α → β} :
(∏ x ∈ s, ∏ y ∈ t, f x y) = ∏ y ∈ t, ∏ x ∈ s, f x y :=
prod_comm' fun _ _ => Iff.rfl
#align finset.prod_comm Finset.prod_comm
#align finset.sum_comm Finset.sum_comm
@[to_additive]
theorem prod_hom_rel [CommMonoid γ] {r : β → γ → Prop} {f : α → β} {g : α → γ} {s : Finset α}
(h₁ : r 1 1) (h₂ : ∀ a b c, r b c → r (f a * b) (g a * c)) :
r (∏ x ∈ s, f x) (∏ x ∈ s, g x) := by
delta Finset.prod
apply Multiset.prod_hom_rel <;> assumption
#align finset.prod_hom_rel Finset.prod_hom_rel
#align finset.sum_hom_rel Finset.sum_hom_rel
@[to_additive]
theorem prod_filter_of_ne {p : α → Prop} [DecidablePred p] (hp : ∀ x ∈ s, f x ≠ 1 → p x) :
∏ x ∈ s.filter p, f x = ∏ x ∈ s, f x :=
(prod_subset (filter_subset _ _)) fun x => by
classical
rw [not_imp_comm, mem_filter]
exact fun h₁ h₂ => ⟨h₁, by simpa using hp _ h₁ h₂⟩
#align finset.prod_filter_of_ne Finset.prod_filter_of_ne
#align finset.sum_filter_of_ne Finset.sum_filter_of_ne
-- If we use `[DecidableEq β]` here, some rewrites fail because they find a wrong `Decidable`
-- instance first; `{∀ x, Decidable (f x ≠ 1)}` doesn't work with `rw ← prod_filter_ne_one`
@[to_additive]
theorem prod_filter_ne_one (s : Finset α) [∀ x, Decidable (f x ≠ 1)] :
∏ x ∈ s.filter fun x => f x ≠ 1, f x = ∏ x ∈ s, f x :=
prod_filter_of_ne fun _ _ => id
#align finset.prod_filter_ne_one Finset.prod_filter_ne_one
#align finset.sum_filter_ne_zero Finset.sum_filter_ne_zero
@[to_additive]
theorem prod_filter (p : α → Prop) [DecidablePred p] (f : α → β) :
∏ a ∈ s.filter p, f a = ∏ a ∈ s, if p a then f a else 1 :=
calc
∏ a ∈ s.filter p, f a = ∏ a ∈ s.filter p, if p a then f a else 1 :=
prod_congr rfl fun a h => by rw [if_pos]; simpa using (mem_filter.1 h).2
_ = ∏ a ∈ s, if p a then f a else 1 := by
{ refine prod_subset (filter_subset _ s) fun x hs h => ?_
rw [mem_filter, not_and] at h
exact if_neg (by simpa using h hs) }
#align finset.prod_filter Finset.prod_filter
#align finset.sum_filter Finset.sum_filter
@[to_additive]
theorem prod_eq_single_of_mem {s : Finset α} {f : α → β} (a : α) (h : a ∈ s)
(h₀ : ∀ b ∈ s, b ≠ a → f b = 1) : ∏ x ∈ s, f x = f a := by
haveI := Classical.decEq α
calc
∏ x ∈ s, f x = ∏ x ∈ {a}, f x := by
{ refine (prod_subset ?_ ?_).symm
· intro _ H
rwa [mem_singleton.1 H]
· simpa only [mem_singleton] }
_ = f a := prod_singleton _ _
#align finset.prod_eq_single_of_mem Finset.prod_eq_single_of_mem
#align finset.sum_eq_single_of_mem Finset.sum_eq_single_of_mem
@[to_additive]
theorem prod_eq_single {s : Finset α} {f : α → β} (a : α) (h₀ : ∀ b ∈ s, b ≠ a → f b = 1)
(h₁ : a ∉ s → f a = 1) : ∏ x ∈ s, f x = f a :=
haveI := Classical.decEq α
by_cases (prod_eq_single_of_mem a · h₀) fun this =>
(prod_congr rfl fun b hb => h₀ b hb <| by rintro rfl; exact this hb).trans <|
prod_const_one.trans (h₁ this).symm
#align finset.prod_eq_single Finset.prod_eq_single
#align finset.sum_eq_single Finset.sum_eq_single
@[to_additive]
lemma prod_union_eq_left [DecidableEq α] (hs : ∀ a ∈ s₂, a ∉ s₁ → f a = 1) :
∏ a ∈ s₁ ∪ s₂, f a = ∏ a ∈ s₁, f a :=
Eq.symm <|
prod_subset subset_union_left fun _a ha ha' ↦ hs _ ((mem_union.1 ha).resolve_left ha') ha'
@[to_additive]
lemma prod_union_eq_right [DecidableEq α] (hs : ∀ a ∈ s₁, a ∉ s₂ → f a = 1) :
∏ a ∈ s₁ ∪ s₂, f a = ∏ a ∈ s₂, f a := by rw [union_comm, prod_union_eq_left hs]
@[to_additive]
theorem prod_eq_mul_of_mem {s : Finset α} {f : α → β} (a b : α) (ha : a ∈ s) (hb : b ∈ s)
(hn : a ≠ b) (h₀ : ∀ c ∈ s, c ≠ a ∧ c ≠ b → f c = 1) : ∏ x ∈ s, f x = f a * f b := by
haveI := Classical.decEq α; let s' := ({a, b} : Finset α)
have hu : s' ⊆ s := by
refine insert_subset_iff.mpr ?_
apply And.intro ha
apply singleton_subset_iff.mpr hb
have hf : ∀ c ∈ s, c ∉ s' → f c = 1 := by
intro c hc hcs
apply h₀ c hc
apply not_or.mp
intro hab
apply hcs
rw [mem_insert, mem_singleton]
exact hab
rw [← prod_subset hu hf]
exact Finset.prod_pair hn
#align finset.prod_eq_mul_of_mem Finset.prod_eq_mul_of_mem
#align finset.sum_eq_add_of_mem Finset.sum_eq_add_of_mem
@[to_additive]
theorem prod_eq_mul {s : Finset α} {f : α → β} (a b : α) (hn : a ≠ b)
(h₀ : ∀ c ∈ s, c ≠ a ∧ c ≠ b → f c = 1) (ha : a ∉ s → f a = 1) (hb : b ∉ s → f b = 1) :
∏ x ∈ s, f x = f a * f b := by
haveI := Classical.decEq α; by_cases h₁ : a ∈ s <;> by_cases h₂ : b ∈ s
· exact prod_eq_mul_of_mem a b h₁ h₂ hn h₀
· rw [hb h₂, mul_one]
apply prod_eq_single_of_mem a h₁
exact fun c hc hca => h₀ c hc ⟨hca, ne_of_mem_of_not_mem hc h₂⟩
· rw [ha h₁, one_mul]
apply prod_eq_single_of_mem b h₂
exact fun c hc hcb => h₀ c hc ⟨ne_of_mem_of_not_mem hc h₁, hcb⟩
· rw [ha h₁, hb h₂, mul_one]
exact
_root_.trans
(prod_congr rfl fun c hc =>
h₀ c hc ⟨ne_of_mem_of_not_mem hc h₁, ne_of_mem_of_not_mem hc h₂⟩)
prod_const_one
#align finset.prod_eq_mul Finset.prod_eq_mul
#align finset.sum_eq_add Finset.sum_eq_add
-- Porting note: simpNF linter complains that LHS doesn't simplify, but it does
@[to_additive (attr := simp, nolint simpNF)
"A sum over `s.subtype p` equals one over `s.filter p`."]
theorem prod_subtype_eq_prod_filter (f : α → β) {p : α → Prop} [DecidablePred p] :
∏ x ∈ s.subtype p, f x = ∏ x ∈ s.filter p, f x := by
conv_lhs => erw [← prod_map (s.subtype p) (Function.Embedding.subtype _) f]
exact prod_congr (subtype_map _) fun x _hx => rfl
#align finset.prod_subtype_eq_prod_filter Finset.prod_subtype_eq_prod_filter
#align finset.sum_subtype_eq_sum_filter Finset.sum_subtype_eq_sum_filter
@[to_additive "If all elements of a `Finset` satisfy the predicate `p`, a sum
over `s.subtype p` equals that sum over `s`."]
theorem prod_subtype_of_mem (f : α → β) {p : α → Prop} [DecidablePred p] (h : ∀ x ∈ s, p x) :
∏ x ∈ s.subtype p, f x = ∏ x ∈ s, f x := by
rw [prod_subtype_eq_prod_filter, filter_true_of_mem]
simpa using h
#align finset.prod_subtype_of_mem Finset.prod_subtype_of_mem
#align finset.sum_subtype_of_mem Finset.sum_subtype_of_mem
@[to_additive "A sum of a function over a `Finset` in a subtype equals a
sum in the main type of a function that agrees with the first
function on that `Finset`."]
theorem prod_subtype_map_embedding {p : α → Prop} {s : Finset { x // p x }} {f : { x // p x } → β}
{g : α → β} (h : ∀ x : { x // p x }, x ∈ s → g x = f x) :
(∏ x ∈ s.map (Function.Embedding.subtype _), g x) = ∏ x ∈ s, f x := by
rw [Finset.prod_map]
exact Finset.prod_congr rfl h
#align finset.prod_subtype_map_embedding Finset.prod_subtype_map_embedding
#align finset.sum_subtype_map_embedding Finset.sum_subtype_map_embedding
variable (f s)
@[to_additive]
theorem prod_coe_sort_eq_attach (f : s → β) : ∏ i : s, f i = ∏ i ∈ s.attach, f i :=
rfl
#align finset.prod_coe_sort_eq_attach Finset.prod_coe_sort_eq_attach
#align finset.sum_coe_sort_eq_attach Finset.sum_coe_sort_eq_attach
@[to_additive]
theorem prod_coe_sort : ∏ i : s, f i = ∏ i ∈ s, f i := prod_attach _ _
#align finset.prod_coe_sort Finset.prod_coe_sort
#align finset.sum_coe_sort Finset.sum_coe_sort
@[to_additive]
theorem prod_finset_coe (f : α → β) (s : Finset α) : (∏ i : (s : Set α), f i) = ∏ i ∈ s, f i :=
prod_coe_sort s f
#align finset.prod_finset_coe Finset.prod_finset_coe
#align finset.sum_finset_coe Finset.sum_finset_coe
variable {f s}
@[to_additive]
theorem prod_subtype {p : α → Prop} {F : Fintype (Subtype p)} (s : Finset α) (h : ∀ x, x ∈ s ↔ p x)
(f : α → β) : ∏ a ∈ s, f a = ∏ a : Subtype p, f a := by
have : (· ∈ s) = p := Set.ext h
subst p
rw [← prod_coe_sort]
congr!
#align finset.prod_subtype Finset.prod_subtype
#align finset.sum_subtype Finset.sum_subtype
@[to_additive]
lemma prod_preimage' (f : ι → κ) [DecidablePred (· ∈ Set.range f)] (s : Finset κ) (hf) (g : κ → β) :
∏ x ∈ s.preimage f hf, g (f x) = ∏ x ∈ s.filter (· ∈ Set.range f), g x := by
classical
calc
∏ x ∈ preimage s f hf, g (f x) = ∏ x ∈ image f (preimage s f hf), g x :=
Eq.symm <| prod_image <| by simpa only [mem_preimage, Set.InjOn] using hf
_ = ∏ x ∈ s.filter fun x => x ∈ Set.range f, g x := by rw [image_preimage]
#align finset.prod_preimage' Finset.prod_preimage'
#align finset.sum_preimage' Finset.sum_preimage'
@[to_additive]
lemma prod_preimage (f : ι → κ) (s : Finset κ) (hf) (g : κ → β)
(hg : ∀ x ∈ s, x ∉ Set.range f → g x = 1) :
∏ x ∈ s.preimage f hf, g (f x) = ∏ x ∈ s, g x := by
classical rw [prod_preimage', prod_filter_of_ne]; exact fun x hx ↦ Not.imp_symm (hg x hx)
#align finset.prod_preimage Finset.prod_preimage
#align finset.sum_preimage Finset.sum_preimage
@[to_additive]
lemma prod_preimage_of_bij (f : ι → κ) (s : Finset κ) (hf : Set.BijOn f (f ⁻¹' ↑s) ↑s) (g : κ → β) :
∏ x ∈ s.preimage f hf.injOn, g (f x) = ∏ x ∈ s, g x :=
prod_preimage _ _ hf.injOn g fun _ hs h_f ↦ (h_f <| hf.subset_range hs).elim
#align finset.prod_preimage_of_bij Finset.prod_preimage_of_bij
#align finset.sum_preimage_of_bij Finset.sum_preimage_of_bij
@[to_additive]
theorem prod_set_coe (s : Set α) [Fintype s] : (∏ i : s, f i) = ∏ i ∈ s.toFinset, f i :=
(Finset.prod_subtype s.toFinset (fun _ ↦ Set.mem_toFinset) f).symm
@[to_additive "The sum of a function `g` defined only on a set `s` is equal to
the sum of a function `f` defined everywhere,
as long as `f` and `g` agree on `s`, and `f = 0` off `s`."]
theorem prod_congr_set {α : Type*} [CommMonoid α] {β : Type*} [Fintype β] (s : Set β)
[DecidablePred (· ∈ s)] (f : β → α) (g : s → α) (w : ∀ (x : β) (h : x ∈ s), f x = g ⟨x, h⟩)
(w' : ∀ x : β, x ∉ s → f x = 1) : Finset.univ.prod f = Finset.univ.prod g := by
rw [← @Finset.prod_subset _ _ s.toFinset Finset.univ f _ (by simp)]
· rw [Finset.prod_subtype]
· apply Finset.prod_congr rfl
exact fun ⟨x, h⟩ _ => w x h
· simp
· rintro x _ h
exact w' x (by simpa using h)
#align finset.prod_congr_set Finset.prod_congr_set
#align finset.sum_congr_set Finset.sum_congr_set
@[to_additive]
theorem prod_apply_dite {s : Finset α} {p : α → Prop} {hp : DecidablePred p}
[DecidablePred fun x => ¬p x] (f : ∀ x : α, p x → γ) (g : ∀ x : α, ¬p x → γ) (h : γ → β) :
(∏ x ∈ s, h (if hx : p x then f x hx else g x hx)) =
(∏ x ∈ (s.filter p).attach, h (f x.1 <| by simpa using (mem_filter.mp x.2).2)) *
∏ x ∈ (s.filter fun x => ¬p x).attach, h (g x.1 <| by simpa using (mem_filter.mp x.2).2) :=
calc
(∏ x ∈ s, h (if hx : p x then f x hx else g x hx)) =
(∏ x ∈ s.filter p, h (if hx : p x then f x hx else g x hx)) *
∏ x ∈ s.filter (¬p ·), h (if hx : p x then f x hx else g x hx) :=
(prod_filter_mul_prod_filter_not s p _).symm
_ = (∏ x ∈ (s.filter p).attach, h (if hx : p x.1 then f x.1 hx else g x.1 hx)) *
∏ x ∈ (s.filter (¬p ·)).attach, h (if hx : p x.1 then f x.1 hx else g x.1 hx) :=
congr_arg₂ _ (prod_attach _ _).symm (prod_attach _ _).symm
_ = (∏ x ∈ (s.filter p).attach, h (f x.1 <| by simpa using (mem_filter.mp x.2).2)) *
∏ x ∈ (s.filter (¬p ·)).attach, h (g x.1 <| by simpa using (mem_filter.mp x.2).2) :=
congr_arg₂ _ (prod_congr rfl fun x _hx ↦
congr_arg h (dif_pos <| by simpa using (mem_filter.mp x.2).2))
(prod_congr rfl fun x _hx => congr_arg h (dif_neg <| by simpa using (mem_filter.mp x.2).2))
#align finset.prod_apply_dite Finset.prod_apply_dite
#align finset.sum_apply_dite Finset.sum_apply_dite
@[to_additive]
theorem prod_apply_ite {s : Finset α} {p : α → Prop} {_hp : DecidablePred p} (f g : α → γ)
(h : γ → β) :
(∏ x ∈ s, h (if p x then f x else g x)) =
(∏ x ∈ s.filter p, h (f x)) * ∏ x ∈ s.filter fun x => ¬p x, h (g x) :=
(prod_apply_dite _ _ _).trans <| congr_arg₂ _ (prod_attach _ (h ∘ f)) (prod_attach _ (h ∘ g))
#align finset.prod_apply_ite Finset.prod_apply_ite
#align finset.sum_apply_ite Finset.sum_apply_ite
@[to_additive]
theorem prod_dite {s : Finset α} {p : α → Prop} {hp : DecidablePred p} (f : ∀ x : α, p x → β)
(g : ∀ x : α, ¬p x → β) :
∏ x ∈ s, (if hx : p x then f x hx else g x hx) =
(∏ x ∈ (s.filter p).attach, f x.1 (by simpa using (mem_filter.mp x.2).2)) *
∏ x ∈ (s.filter fun x => ¬p x).attach, g x.1 (by simpa using (mem_filter.mp x.2).2) := by
simp [prod_apply_dite _ _ fun x => x]
#align finset.prod_dite Finset.prod_dite
#align finset.sum_dite Finset.sum_dite
@[to_additive]
theorem prod_ite {s : Finset α} {p : α → Prop} {hp : DecidablePred p} (f g : α → β) :
∏ x ∈ s, (if p x then f x else g x) =
(∏ x ∈ s.filter p, f x) * ∏ x ∈ s.filter fun x => ¬p x, g x := by
simp [prod_apply_ite _ _ fun x => x]
#align finset.prod_ite Finset.prod_ite
#align finset.sum_ite Finset.sum_ite
@[to_additive]
theorem prod_ite_of_false {p : α → Prop} {hp : DecidablePred p} (f g : α → β) (h : ∀ x ∈ s, ¬p x) :
∏ x ∈ s, (if p x then f x else g x) = ∏ x ∈ s, g x := by
rw [prod_ite, filter_false_of_mem, filter_true_of_mem]
· simp only [prod_empty, one_mul]
all_goals intros; apply h; assumption
#align finset.prod_ite_of_false Finset.prod_ite_of_false
#align finset.sum_ite_of_false Finset.sum_ite_of_false
@[to_additive]
theorem prod_ite_of_true {p : α → Prop} {hp : DecidablePred p} (f g : α → β) (h : ∀ x ∈ s, p x) :
∏ x ∈ s, (if p x then f x else g x) = ∏ x ∈ s, f x := by
simp_rw [← ite_not (p _)]
apply prod_ite_of_false
simpa
#align finset.prod_ite_of_true Finset.prod_ite_of_true
#align finset.sum_ite_of_true Finset.sum_ite_of_true
@[to_additive]
theorem prod_apply_ite_of_false {p : α → Prop} {hp : DecidablePred p} (f g : α → γ) (k : γ → β)
(h : ∀ x ∈ s, ¬p x) : (∏ x ∈ s, k (if p x then f x else g x)) = ∏ x ∈ s, k (g x) := by
simp_rw [apply_ite k]
exact prod_ite_of_false _ _ h
#align finset.prod_apply_ite_of_false Finset.prod_apply_ite_of_false
#align finset.sum_apply_ite_of_false Finset.sum_apply_ite_of_false
@[to_additive]
theorem prod_apply_ite_of_true {p : α → Prop} {hp : DecidablePred p} (f g : α → γ) (k : γ → β)
(h : ∀ x ∈ s, p x) : (∏ x ∈ s, k (if p x then f x else g x)) = ∏ x ∈ s, k (f x) := by
simp_rw [apply_ite k]
exact prod_ite_of_true _ _ h
#align finset.prod_apply_ite_of_true Finset.prod_apply_ite_of_true
#align finset.sum_apply_ite_of_true Finset.sum_apply_ite_of_true
@[to_additive]
theorem prod_extend_by_one [DecidableEq α] (s : Finset α) (f : α → β) :
∏ i ∈ s, (if i ∈ s then f i else 1) = ∏ i ∈ s, f i :=
(prod_congr rfl) fun _i hi => if_pos hi
#align finset.prod_extend_by_one Finset.prod_extend_by_one
#align finset.sum_extend_by_zero Finset.sum_extend_by_zero
@[to_additive (attr := simp)]
theorem prod_ite_mem [DecidableEq α] (s t : Finset α) (f : α → β) :
∏ i ∈ s, (if i ∈ t then f i else 1) = ∏ i ∈ s ∩ t, f i := by
rw [← Finset.prod_filter, Finset.filter_mem_eq_inter]
#align finset.prod_ite_mem Finset.prod_ite_mem
#align finset.sum_ite_mem Finset.sum_ite_mem
@[to_additive (attr := simp)]
theorem prod_dite_eq [DecidableEq α] (s : Finset α) (a : α) (b : ∀ x : α, a = x → β) :
∏ x ∈ s, (if h : a = x then b x h else 1) = ite (a ∈ s) (b a rfl) 1 := by
split_ifs with h
· rw [Finset.prod_eq_single a, dif_pos rfl]
· intros _ _ h
rw [dif_neg]
exact h.symm
· simp [h]
· rw [Finset.prod_eq_one]
intros
rw [dif_neg]
rintro rfl
contradiction
#align finset.prod_dite_eq Finset.prod_dite_eq
#align finset.sum_dite_eq Finset.sum_dite_eq
@[to_additive (attr := simp)]
theorem prod_dite_eq' [DecidableEq α] (s : Finset α) (a : α) (b : ∀ x : α, x = a → β) :
∏ x ∈ s, (if h : x = a then b x h else 1) = ite (a ∈ s) (b a rfl) 1 := by
split_ifs with h
· rw [Finset.prod_eq_single a, dif_pos rfl]
· intros _ _ h
rw [dif_neg]
exact h
· simp [h]
· rw [Finset.prod_eq_one]
intros
rw [dif_neg]
rintro rfl
contradiction
#align finset.prod_dite_eq' Finset.prod_dite_eq'
#align finset.sum_dite_eq' Finset.sum_dite_eq'
@[to_additive (attr := simp)]
theorem prod_ite_eq [DecidableEq α] (s : Finset α) (a : α) (b : α → β) :
(∏ x ∈ s, ite (a = x) (b x) 1) = ite (a ∈ s) (b a) 1 :=
prod_dite_eq s a fun x _ => b x
#align finset.prod_ite_eq Finset.prod_ite_eq
#align finset.sum_ite_eq Finset.sum_ite_eq
@[to_additive (attr := simp) "A sum taken over a conditional whose condition is an equality
test on the index and whose alternative is `0` has value either the term at that index or `0`.
The difference with `Finset.sum_ite_eq` is that the arguments to `Eq` are swapped."]
theorem prod_ite_eq' [DecidableEq α] (s : Finset α) (a : α) (b : α → β) :
(∏ x ∈ s, ite (x = a) (b x) 1) = ite (a ∈ s) (b a) 1 :=
prod_dite_eq' s a fun x _ => b x
#align finset.prod_ite_eq' Finset.prod_ite_eq'
#align finset.sum_ite_eq' Finset.sum_ite_eq'
@[to_additive]
theorem prod_ite_index (p : Prop) [Decidable p] (s t : Finset α) (f : α → β) :
∏ x ∈ if p then s else t, f x = if p then ∏ x ∈ s, f x else ∏ x ∈ t, f x :=
apply_ite (fun s => ∏ x ∈ s, f x) _ _ _
#align finset.prod_ite_index Finset.prod_ite_index
#align finset.sum_ite_index Finset.sum_ite_index
@[to_additive (attr := simp)]
theorem prod_ite_irrel (p : Prop) [Decidable p] (s : Finset α) (f g : α → β) :
∏ x ∈ s, (if p then f x else g x) = if p then ∏ x ∈ s, f x else ∏ x ∈ s, g x := by
split_ifs with h <;> rfl
#align finset.prod_ite_irrel Finset.prod_ite_irrel
#align finset.sum_ite_irrel Finset.sum_ite_irrel
@[to_additive (attr := simp)]
theorem prod_dite_irrel (p : Prop) [Decidable p] (s : Finset α) (f : p → α → β) (g : ¬p → α → β) :
∏ x ∈ s, (if h : p then f h x else g h x) =
if h : p then ∏ x ∈ s, f h x else ∏ x ∈ s, g h x := by
split_ifs with h <;> rfl
#align finset.prod_dite_irrel Finset.prod_dite_irrel
#align finset.sum_dite_irrel Finset.sum_dite_irrel
@[to_additive (attr := simp)]
theorem prod_pi_mulSingle' [DecidableEq α] (a : α) (x : β) (s : Finset α) :
∏ a' ∈ s, Pi.mulSingle a x a' = if a ∈ s then x else 1 :=
prod_dite_eq' _ _ _
#align finset.prod_pi_mul_single' Finset.prod_pi_mulSingle'
#align finset.sum_pi_single' Finset.sum_pi_single'
@[to_additive (attr := simp)]
theorem prod_pi_mulSingle {β : α → Type*} [DecidableEq α] [∀ a, CommMonoid (β a)] (a : α)
(f : ∀ a, β a) (s : Finset α) :
(∏ a' ∈ s, Pi.mulSingle a' (f a') a) = if a ∈ s then f a else 1 :=
prod_dite_eq _ _ _
#align finset.prod_pi_mul_single Finset.prod_pi_mulSingle
@[to_additive]
lemma mulSupport_prod (s : Finset ι) (f : ι → α → β) :
mulSupport (fun x ↦ ∏ i ∈ s, f i x) ⊆ ⋃ i ∈ s, mulSupport (f i) := by
simp only [mulSupport_subset_iff', Set.mem_iUnion, not_exists, nmem_mulSupport]
exact fun x ↦ prod_eq_one
#align function.mul_support_prod Finset.mulSupport_prod
#align function.support_sum Finset.support_sum
theorem card_eq_sum_ones (s : Finset α) : s.card = ∑ x ∈ s, 1 := by simp
#align finset.card_eq_sum_ones Finset.card_eq_sum_ones
theorem sum_const_nat {m : ℕ} {f : α → ℕ} (h₁ : ∀ x ∈ s, f x = m) :
∑ x ∈ s, f x = card s * m := by
rw [← Nat.nsmul_eq_mul, ← sum_const]
apply sum_congr rfl h₁
#align finset.sum_const_nat Finset.sum_const_nat
lemma sum_card_fiberwise_eq_card_filter {κ : Type*} [DecidableEq κ] (s : Finset ι) (t : Finset κ)
(g : ι → κ) : ∑ j ∈ t, (s.filter fun i ↦ g i = j).card = (s.filter fun i ↦ g i ∈ t).card := by
simpa only [card_eq_sum_ones] using sum_fiberwise_eq_sum_filter _ _ _ _
lemma card_filter (p) [DecidablePred p] (s : Finset α) :
(filter p s).card = ∑ a ∈ s, ite (p a) 1 0 := by simp [sum_ite]
#align finset.card_filter Finset.card_filter
namespace Finset
variable [CommMonoid α]
@[to_additive (attr := simp)]
lemma prod_attach_univ [Fintype ι] (f : {i // i ∈ @univ ι _} → α) :
∏ i ∈ univ.attach, f i = ∏ i, f ⟨i, mem_univ _⟩ :=
Fintype.prod_equiv (Equiv.subtypeUnivEquiv mem_univ) _ _ $ by simp
#align finset.prod_attach_univ Finset.prod_attach_univ
#align finset.sum_attach_univ Finset.sum_attach_univ
@[to_additive]
| Mathlib/Algebra/BigOperators/Group/Finset.lean | 2,391 | 2,394 | theorem prod_erase_attach [DecidableEq ι] {s : Finset ι} (f : ι → α) (i : ↑s) :
∏ j ∈ s.attach.erase i, f ↑j = ∏ j ∈ s.erase ↑i, f j := by |
rw [← Function.Embedding.coe_subtype, ← prod_map]
simp [attach_map_val]
|
import Mathlib.SetTheory.Cardinal.Ordinal
import Mathlib.SetTheory.Ordinal.FixedPoint
#align_import set_theory.cardinal.cofinality from "leanprover-community/mathlib"@"7c2ce0c2da15516b4e65d0c9e254bb6dc93abd1f"
noncomputable section
open Function Cardinal Set Order
open scoped Classical
open Cardinal Ordinal
universe u v w
variable {α : Type*} {r : α → α → Prop}
theorem RelIso.cof_le_lift {α : Type u} {β : Type v} {r : α → α → Prop} {s} [IsRefl β s]
(f : r ≃r s) : Cardinal.lift.{max u v} (Order.cof r) ≤
Cardinal.lift.{max u v} (Order.cof s) := by
rw [Order.cof, Order.cof, lift_sInf, lift_sInf,
le_csInf_iff'' ((Order.cof_nonempty s).image _)]
rintro - ⟨-, ⟨u, H, rfl⟩, rfl⟩
apply csInf_le'
refine
⟨_, ⟨f.symm '' u, fun a => ?_, rfl⟩,
lift_mk_eq.{u, v, max u v}.2 ⟨(f.symm.toEquiv.image u).symm⟩⟩
rcases H (f a) with ⟨b, hb, hb'⟩
refine ⟨f.symm b, mem_image_of_mem _ hb, f.map_rel_iff.1 ?_⟩
rwa [RelIso.apply_symm_apply]
#align rel_iso.cof_le_lift RelIso.cof_le_lift
theorem RelIso.cof_eq_lift {α : Type u} {β : Type v} {r s} [IsRefl α r] [IsRefl β s] (f : r ≃r s) :
Cardinal.lift.{max u v} (Order.cof r) = Cardinal.lift.{max u v} (Order.cof s) :=
(RelIso.cof_le_lift f).antisymm (RelIso.cof_le_lift f.symm)
#align rel_iso.cof_eq_lift RelIso.cof_eq_lift
theorem RelIso.cof_le {α β : Type u} {r : α → α → Prop} {s} [IsRefl β s] (f : r ≃r s) :
Order.cof r ≤ Order.cof s :=
lift_le.1 (RelIso.cof_le_lift f)
#align rel_iso.cof_le RelIso.cof_le
theorem RelIso.cof_eq {α β : Type u} {r s} [IsRefl α r] [IsRefl β s] (f : r ≃r s) :
Order.cof r = Order.cof s :=
lift_inj.1 (RelIso.cof_eq_lift f)
#align rel_iso.cof_eq RelIso.cof_eq
def StrictOrder.cof (r : α → α → Prop) : Cardinal :=
Order.cof (swap rᶜ)
#align strict_order.cof StrictOrder.cof
theorem StrictOrder.cof_nonempty (r : α → α → Prop) [IsIrrefl α r] :
{ c | ∃ S : Set α, Unbounded r S ∧ #S = c }.Nonempty :=
@Order.cof_nonempty α _ (IsRefl.swap rᶜ)
#align strict_order.cof_nonempty StrictOrder.cof_nonempty
namespace Ordinal
def cof (o : Ordinal.{u}) : Cardinal.{u} :=
o.liftOn (fun a => StrictOrder.cof a.r)
(by
rintro ⟨α, r, wo₁⟩ ⟨β, s, wo₂⟩ ⟨⟨f, hf⟩⟩
haveI := wo₁; haveI := wo₂
dsimp only
apply @RelIso.cof_eq _ _ _ _ ?_ ?_
· constructor
exact @fun a b => not_iff_not.2 hf
· dsimp only [swap]
exact ⟨fun _ => irrefl _⟩
· dsimp only [swap]
exact ⟨fun _ => irrefl _⟩)
#align ordinal.cof Ordinal.cof
theorem cof_type (r : α → α → Prop) [IsWellOrder α r] : (type r).cof = StrictOrder.cof r :=
rfl
#align ordinal.cof_type Ordinal.cof_type
theorem le_cof_type [IsWellOrder α r] {c} : c ≤ cof (type r) ↔ ∀ S, Unbounded r S → c ≤ #S :=
(le_csInf_iff'' (StrictOrder.cof_nonempty r)).trans
⟨fun H S h => H _ ⟨S, h, rfl⟩, by
rintro H d ⟨S, h, rfl⟩
exact H _ h⟩
#align ordinal.le_cof_type Ordinal.le_cof_type
theorem cof_type_le [IsWellOrder α r] {S : Set α} (h : Unbounded r S) : cof (type r) ≤ #S :=
le_cof_type.1 le_rfl S h
#align ordinal.cof_type_le Ordinal.cof_type_le
theorem lt_cof_type [IsWellOrder α r] {S : Set α} : #S < cof (type r) → Bounded r S := by
simpa using not_imp_not.2 cof_type_le
#align ordinal.lt_cof_type Ordinal.lt_cof_type
theorem cof_eq (r : α → α → Prop) [IsWellOrder α r] : ∃ S, Unbounded r S ∧ #S = cof (type r) :=
csInf_mem (StrictOrder.cof_nonempty r)
#align ordinal.cof_eq Ordinal.cof_eq
theorem ord_cof_eq (r : α → α → Prop) [IsWellOrder α r] :
∃ S, Unbounded r S ∧ type (Subrel r S) = (cof (type r)).ord := by
let ⟨S, hS, e⟩ := cof_eq r
let ⟨s, _, e'⟩ := Cardinal.ord_eq S
let T : Set α := { a | ∃ aS : a ∈ S, ∀ b : S, s b ⟨_, aS⟩ → r b a }
suffices Unbounded r T by
refine ⟨T, this, le_antisymm ?_ (Cardinal.ord_le.2 <| cof_type_le this)⟩
rw [← e, e']
refine
(RelEmbedding.ofMonotone
(fun a : T =>
(⟨a,
let ⟨aS, _⟩ := a.2
aS⟩ :
S))
fun a b h => ?_).ordinal_type_le
rcases a with ⟨a, aS, ha⟩
rcases b with ⟨b, bS, hb⟩
change s ⟨a, _⟩ ⟨b, _⟩
refine ((trichotomous_of s _ _).resolve_left fun hn => ?_).resolve_left ?_
· exact asymm h (ha _ hn)
· intro e
injection e with e
subst b
exact irrefl _ h
intro a
have : { b : S | ¬r b a }.Nonempty :=
let ⟨b, bS, ba⟩ := hS a
⟨⟨b, bS⟩, ba⟩
let b := (IsWellFounded.wf : WellFounded s).min _ this
have ba : ¬r b a := IsWellFounded.wf.min_mem _ this
refine ⟨b, ⟨b.2, fun c => not_imp_not.1 fun h => ?_⟩, ba⟩
rw [show ∀ b : S, (⟨b, b.2⟩ : S) = b by intro b; cases b; rfl]
exact IsWellFounded.wf.not_lt_min _ this (IsOrderConnected.neg_trans h ba)
#align ordinal.ord_cof_eq Ordinal.ord_cof_eq
private theorem card_mem_cof {o} : ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = o.card :=
⟨_, _, lsub_typein o, mk_ordinal_out o⟩
theorem cof_lsub_def_nonempty (o) :
{ a : Cardinal | ∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a }.Nonempty :=
⟨_, card_mem_cof⟩
#align ordinal.cof_lsub_def_nonempty Ordinal.cof_lsub_def_nonempty
theorem cof_eq_sInf_lsub (o : Ordinal.{u}) : cof o =
sInf { a : Cardinal | ∃ (ι : Type u) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = a } := by
refine le_antisymm (le_csInf (cof_lsub_def_nonempty o) ?_) (csInf_le' ?_)
· rintro a ⟨ι, f, hf, rfl⟩
rw [← type_lt o]
refine
(cof_type_le fun a => ?_).trans
(@mk_le_of_injective _ _
(fun s : typein ((· < ·) : o.out.α → o.out.α → Prop) ⁻¹' Set.range f =>
Classical.choose s.prop)
fun s t hst => by
let H := congr_arg f hst
rwa [Classical.choose_spec s.prop, Classical.choose_spec t.prop, typein_inj,
Subtype.coe_inj] at H)
have := typein_lt_self a
simp_rw [← hf, lt_lsub_iff] at this
cases' this with i hi
refine ⟨enum (· < ·) (f i) ?_, ?_, ?_⟩
· rw [type_lt, ← hf]
apply lt_lsub
· rw [mem_preimage, typein_enum]
exact mem_range_self i
· rwa [← typein_le_typein, typein_enum]
· rcases cof_eq (· < · : (Quotient.out o).α → (Quotient.out o).α → Prop) with ⟨S, hS, hS'⟩
let f : S → Ordinal := fun s => typein LT.lt s.val
refine ⟨S, f, le_antisymm (lsub_le fun i => typein_lt_self (o := o) i)
(le_of_forall_lt fun a ha => ?_), by rwa [type_lt o] at hS'⟩
rw [← type_lt o] at ha
rcases hS (enum (· < ·) a ha) with ⟨b, hb, hb'⟩
rw [← typein_le_typein, typein_enum] at hb'
exact hb'.trans_lt (lt_lsub.{u, u} f ⟨b, hb⟩)
#align ordinal.cof_eq_Inf_lsub Ordinal.cof_eq_sInf_lsub
@[simp]
theorem lift_cof (o) : Cardinal.lift.{u, v} (cof o) = cof (Ordinal.lift.{u, v} o) := by
refine inductionOn o ?_
intro α r _
apply le_antisymm
· refine le_cof_type.2 fun S H => ?_
have : Cardinal.lift.{u, v} #(ULift.up ⁻¹' S) ≤ #(S : Type (max u v)) := by
rw [← Cardinal.lift_umax.{v, u}, ← Cardinal.lift_id'.{v, u} #S]
exact mk_preimage_of_injective_lift.{v, max u v} ULift.up S (ULift.up_injective.{u, v})
refine (Cardinal.lift_le.2 <| cof_type_le ?_).trans this
exact fun a =>
let ⟨⟨b⟩, bs, br⟩ := H ⟨a⟩
⟨b, bs, br⟩
· rcases cof_eq r with ⟨S, H, e'⟩
have : #(ULift.down.{u, v} ⁻¹' S) ≤ Cardinal.lift.{u, v} #S :=
⟨⟨fun ⟨⟨x⟩, h⟩ => ⟨⟨x, h⟩⟩, fun ⟨⟨x⟩, h₁⟩ ⟨⟨y⟩, h₂⟩ e => by
simp at e; congr⟩⟩
rw [e'] at this
refine (cof_type_le ?_).trans this
exact fun ⟨a⟩ =>
let ⟨b, bs, br⟩ := H a
⟨⟨b⟩, bs, br⟩
#align ordinal.lift_cof Ordinal.lift_cof
theorem cof_le_card (o) : cof o ≤ card o := by
rw [cof_eq_sInf_lsub]
exact csInf_le' card_mem_cof
#align ordinal.cof_le_card Ordinal.cof_le_card
theorem cof_ord_le (c : Cardinal) : c.ord.cof ≤ c := by simpa using cof_le_card c.ord
#align ordinal.cof_ord_le Ordinal.cof_ord_le
theorem ord_cof_le (o : Ordinal.{u}) : o.cof.ord ≤ o :=
(ord_le_ord.2 (cof_le_card o)).trans (ord_card_le o)
#align ordinal.ord_cof_le Ordinal.ord_cof_le
theorem exists_lsub_cof (o : Ordinal) :
∃ (ι : _) (f : ι → Ordinal), lsub.{u, u} f = o ∧ #ι = cof o := by
rw [cof_eq_sInf_lsub]
exact csInf_mem (cof_lsub_def_nonempty o)
#align ordinal.exists_lsub_cof Ordinal.exists_lsub_cof
theorem cof_lsub_le {ι} (f : ι → Ordinal) : cof (lsub.{u, u} f) ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact csInf_le' ⟨ι, f, rfl, rfl⟩
#align ordinal.cof_lsub_le Ordinal.cof_lsub_le
theorem cof_lsub_le_lift {ι} (f : ι → Ordinal) :
cof (lsub.{u, v} f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← mk_uLift.{u, v}]
convert cof_lsub_le.{max u v} fun i : ULift.{v, u} ι => f i.down
exact
lsub_eq_of_range_eq.{u, max u v, max u v}
(Set.ext fun x => ⟨fun ⟨i, hi⟩ => ⟨ULift.up.{v, u} i, hi⟩, fun ⟨i, hi⟩ => ⟨_, hi⟩⟩)
#align ordinal.cof_lsub_le_lift Ordinal.cof_lsub_le_lift
theorem le_cof_iff_lsub {o : Ordinal} {a : Cardinal} :
a ≤ cof o ↔ ∀ {ι} (f : ι → Ordinal), lsub.{u, u} f = o → a ≤ #ι := by
rw [cof_eq_sInf_lsub]
exact
(le_csInf_iff'' (cof_lsub_def_nonempty o)).trans
⟨fun H ι f hf => H _ ⟨ι, f, hf, rfl⟩, fun H b ⟨ι, f, hf, hb⟩ => by
rw [← hb]
exact H _ hf⟩
#align ordinal.le_cof_iff_lsub Ordinal.le_cof_iff_lsub
theorem lsub_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal}
(hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : lsub.{u, v} f < c :=
lt_of_le_of_ne (lsub_le.{v, u} hf) fun h => by
subst h
exact (cof_lsub_le_lift.{u, v} f).not_lt hι
#align ordinal.lsub_lt_ord_lift Ordinal.lsub_lt_ord_lift
theorem lsub_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → lsub.{u, u} f < c :=
lsub_lt_ord_lift (by rwa [(#ι).lift_id])
#align ordinal.lsub_lt_ord Ordinal.lsub_lt_ord
theorem cof_sup_le_lift {ι} {f : ι → Ordinal} (H : ∀ i, f i < sup.{u, v} f) :
cof (sup.{u, v} f) ≤ Cardinal.lift.{v, u} #ι := by
rw [← sup_eq_lsub_iff_lt_sup.{u, v}] at H
rw [H]
exact cof_lsub_le_lift f
#align ordinal.cof_sup_le_lift Ordinal.cof_sup_le_lift
theorem cof_sup_le {ι} {f : ι → Ordinal} (H : ∀ i, f i < sup.{u, u} f) :
cof (sup.{u, u} f) ≤ #ι := by
rw [← (#ι).lift_id]
exact cof_sup_le_lift H
#align ordinal.cof_sup_le Ordinal.cof_sup_le
theorem sup_lt_ord_lift {ι} {f : ι → Ordinal} {c : Ordinal} (hι : Cardinal.lift.{v, u} #ι < c.cof)
(hf : ∀ i, f i < c) : sup.{u, v} f < c :=
(sup_le_lsub.{u, v} f).trans_lt (lsub_lt_ord_lift hι hf)
#align ordinal.sup_lt_ord_lift Ordinal.sup_lt_ord_lift
theorem sup_lt_ord {ι} {f : ι → Ordinal} {c : Ordinal} (hι : #ι < c.cof) :
(∀ i, f i < c) → sup.{u, u} f < c :=
sup_lt_ord_lift (by rwa [(#ι).lift_id])
#align ordinal.sup_lt_ord Ordinal.sup_lt_ord
theorem iSup_lt_lift {ι} {f : ι → Cardinal} {c : Cardinal}
(hι : Cardinal.lift.{v, u} #ι < c.ord.cof)
(hf : ∀ i, f i < c) : iSup.{max u v + 1, u + 1} f < c := by
rw [← ord_lt_ord, iSup_ord (Cardinal.bddAbove_range.{u, v} _)]
refine sup_lt_ord_lift hι fun i => ?_
rw [ord_lt_ord]
apply hf
#align ordinal.supr_lt_lift Ordinal.iSup_lt_lift
theorem iSup_lt {ι} {f : ι → Cardinal} {c : Cardinal} (hι : #ι < c.ord.cof) :
(∀ i, f i < c) → iSup f < c :=
iSup_lt_lift (by rwa [(#ι).lift_id])
#align ordinal.supr_lt Ordinal.iSup_lt
| Mathlib/SetTheory/Cardinal/Cofinality.lean | 377 | 386 | theorem nfpFamily_lt_ord_lift {ι} {f : ι → Ordinal → Ordinal} {c} (hc : ℵ₀ < cof c)
(hc' : Cardinal.lift.{v, u} #ι < cof c) (hf : ∀ (i), ∀ b < c, f i b < c) {a} (ha : a < c) :
nfpFamily.{u, v} f a < c := by |
refine sup_lt_ord_lift ((Cardinal.lift_le.2 (mk_list_le_max ι)).trans_lt ?_) fun l => ?_
· rw [lift_max]
apply max_lt _ hc'
rwa [Cardinal.lift_aleph0]
· induction' l with i l H
· exact ha
· exact hf _ _ H
|
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]
| Mathlib/Algebra/Order/ToIntervalMod.lean | 253 | 257 | 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
|
import Mathlib.Geometry.Manifold.MFDeriv.FDeriv
noncomputable section
open scoped Manifold
open Bundle Set Topology
section SpecificFunctions
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
(I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E'']
{H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*}
[TopologicalSpace M''] [ChartedSpace H'' M''] [SmoothManifoldWithCorners I'' M'']
variable {s : Set M} {x : M}
section Prod
theorem hasMFDerivAt_fst (x : M × M') :
HasMFDerivAt (I.prod I') I Prod.fst x
(ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by
refine ⟨continuous_fst.continuousAt, ?_⟩
have :
∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x,
(extChartAt I x.1 ∘ Prod.fst ∘ (extChartAt (I.prod I') x).symm) y = y.1 := by
filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy
rw [extChartAt_prod] at hy
exact (extChartAt I x.1).right_inv hy.1
apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_fst this
-- Porting note: next line was `simp only [mfld_simps]`
exact (extChartAt I x.1).right_inv <| (extChartAt I x.1).map_source (mem_extChartAt_source _ _)
#align has_mfderiv_at_fst hasMFDerivAt_fst
theorem hasMFDerivWithinAt_fst (s : Set (M × M')) (x : M × M') :
HasMFDerivWithinAt (I.prod I') I Prod.fst s x
(ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) :=
(hasMFDerivAt_fst I I' x).hasMFDerivWithinAt
#align has_mfderiv_within_at_fst hasMFDerivWithinAt_fst
theorem mdifferentiableAt_fst {x : M × M'} : MDifferentiableAt (I.prod I') I Prod.fst x :=
(hasMFDerivAt_fst I I' x).mdifferentiableAt
#align mdifferentiable_at_fst mdifferentiableAt_fst
theorem mdifferentiableWithinAt_fst {s : Set (M × M')} {x : M × M'} :
MDifferentiableWithinAt (I.prod I') I Prod.fst s x :=
(mdifferentiableAt_fst I I').mdifferentiableWithinAt
#align mdifferentiable_within_at_fst mdifferentiableWithinAt_fst
theorem mdifferentiable_fst : MDifferentiable (I.prod I') I (Prod.fst : M × M' → M) := fun _ =>
mdifferentiableAt_fst I I'
#align mdifferentiable_fst mdifferentiable_fst
theorem mdifferentiableOn_fst {s : Set (M × M')} : MDifferentiableOn (I.prod I') I Prod.fst s :=
(mdifferentiable_fst I I').mdifferentiableOn
#align mdifferentiable_on_fst mdifferentiableOn_fst
@[simp, mfld_simps]
theorem mfderiv_fst {x : M × M'} :
mfderiv (I.prod I') I Prod.fst x =
ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) :=
(hasMFDerivAt_fst I I' x).mfderiv
#align mfderiv_fst mfderiv_fst
theorem mfderivWithin_fst {s : Set (M × M')} {x : M × M'}
(hxs : UniqueMDiffWithinAt (I.prod I') s x) :
mfderivWithin (I.prod I') I Prod.fst s x =
ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := by
rw [MDifferentiable.mfderivWithin (mdifferentiableAt_fst I I') hxs]; exact mfderiv_fst I I'
#align mfderiv_within_fst mfderivWithin_fst
@[simp, mfld_simps]
theorem tangentMap_prod_fst {p : TangentBundle (I.prod I') (M × M')} :
tangentMap (I.prod I') I Prod.fst p = ⟨p.proj.1, p.2.1⟩ := by
-- Porting note: `rfl` wasn't needed
simp [tangentMap]; rfl
#align tangent_map_prod_fst tangentMap_prod_fst
theorem tangentMapWithin_prod_fst {s : Set (M × M')} {p : TangentBundle (I.prod I') (M × M')}
(hs : UniqueMDiffWithinAt (I.prod I') s p.proj) :
tangentMapWithin (I.prod I') I Prod.fst s p = ⟨p.proj.1, p.2.1⟩ := by
simp only [tangentMapWithin]
rw [mfderivWithin_fst]
· rcases p with ⟨⟩; rfl
· exact hs
#align tangent_map_within_prod_fst tangentMapWithin_prod_fst
theorem hasMFDerivAt_snd (x : M × M') :
HasMFDerivAt (I.prod I') I' Prod.snd x
(ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by
refine ⟨continuous_snd.continuousAt, ?_⟩
have :
∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x,
(extChartAt I' x.2 ∘ Prod.snd ∘ (extChartAt (I.prod I') x).symm) y = y.2 := by
filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy
rw [extChartAt_prod] at hy
exact (extChartAt I' x.2).right_inv hy.2
apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_snd this
-- Porting note: the next line was `simp only [mfld_simps]`
exact (extChartAt I' x.2).right_inv <| (extChartAt I' x.2).map_source (mem_extChartAt_source _ _)
#align has_mfderiv_at_snd hasMFDerivAt_snd
theorem hasMFDerivWithinAt_snd (s : Set (M × M')) (x : M × M') :
HasMFDerivWithinAt (I.prod I') I' Prod.snd s x
(ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) :=
(hasMFDerivAt_snd I I' x).hasMFDerivWithinAt
#align has_mfderiv_within_at_snd hasMFDerivWithinAt_snd
theorem mdifferentiableAt_snd {x : M × M'} : MDifferentiableAt (I.prod I') I' Prod.snd x :=
(hasMFDerivAt_snd I I' x).mdifferentiableAt
#align mdifferentiable_at_snd mdifferentiableAt_snd
theorem mdifferentiableWithinAt_snd {s : Set (M × M')} {x : M × M'} :
MDifferentiableWithinAt (I.prod I') I' Prod.snd s x :=
(mdifferentiableAt_snd I I').mdifferentiableWithinAt
#align mdifferentiable_within_at_snd mdifferentiableWithinAt_snd
theorem mdifferentiable_snd : MDifferentiable (I.prod I') I' (Prod.snd : M × M' → M') := fun _ =>
mdifferentiableAt_snd I I'
#align mdifferentiable_snd mdifferentiable_snd
theorem mdifferentiableOn_snd {s : Set (M × M')} : MDifferentiableOn (I.prod I') I' Prod.snd s :=
(mdifferentiable_snd I I').mdifferentiableOn
#align mdifferentiable_on_snd mdifferentiableOn_snd
@[simp, mfld_simps]
theorem mfderiv_snd {x : M × M'} :
mfderiv (I.prod I') I' Prod.snd x =
ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) :=
(hasMFDerivAt_snd I I' x).mfderiv
#align mfderiv_snd mfderiv_snd
theorem mfderivWithin_snd {s : Set (M × M')} {x : M × M'}
(hxs : UniqueMDiffWithinAt (I.prod I') s x) :
mfderivWithin (I.prod I') I' Prod.snd s x =
ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := by
rw [MDifferentiable.mfderivWithin (mdifferentiableAt_snd I I') hxs]; exact mfderiv_snd I I'
#align mfderiv_within_snd mfderivWithin_snd
@[simp, mfld_simps]
theorem tangentMap_prod_snd {p : TangentBundle (I.prod I') (M × M')} :
tangentMap (I.prod I') I' Prod.snd p = ⟨p.proj.2, p.2.2⟩ := by
-- Porting note: `rfl` wasn't needed
simp [tangentMap]; rfl
#align tangent_map_prod_snd tangentMap_prod_snd
theorem tangentMapWithin_prod_snd {s : Set (M × M')} {p : TangentBundle (I.prod I') (M × M')}
(hs : UniqueMDiffWithinAt (I.prod I') s p.proj) :
tangentMapWithin (I.prod I') I' Prod.snd s p = ⟨p.proj.2, p.2.2⟩ := by
simp only [tangentMapWithin]
rw [mfderivWithin_snd]
· rcases p with ⟨⟩; rfl
· exact hs
#align tangent_map_within_prod_snd tangentMapWithin_prod_snd
variable {I I' I''}
theorem MDifferentiableAt.mfderiv_prod {f : M → M'} {g : M → M''} {x : M}
(hf : MDifferentiableAt I I' f x) (hg : MDifferentiableAt I I'' g x) :
mfderiv I (I'.prod I'') (fun x => (f x, g x)) x =
(mfderiv I I' f x).prod (mfderiv I I'' g x) := by
classical
simp_rw [mfderiv, if_pos (hf.prod_mk hg), if_pos hf, if_pos hg]
exact hf.differentiableWithinAt_writtenInExtChartAt.fderivWithin_prod
hg.differentiableWithinAt_writtenInExtChartAt (I.unique_diff _ (mem_range_self _))
#align mdifferentiable_at.mfderiv_prod MDifferentiableAt.mfderiv_prod
variable (I I' I'')
theorem mfderiv_prod_left {x₀ : M} {y₀ : M'} :
mfderiv I (I.prod I') (fun x => (x, y₀)) x₀ =
ContinuousLinearMap.inl 𝕜 (TangentSpace I x₀) (TangentSpace I' y₀) := by
refine ((mdifferentiableAt_id I).mfderiv_prod (mdifferentiableAt_const I I')).trans ?_
rw [mfderiv_id, mfderiv_const, ContinuousLinearMap.inl]
#align mfderiv_prod_left mfderiv_prod_left
theorem mfderiv_prod_right {x₀ : M} {y₀ : M'} :
mfderiv I' (I.prod I') (fun y => (x₀, y)) y₀ =
ContinuousLinearMap.inr 𝕜 (TangentSpace I x₀) (TangentSpace I' y₀) := by
refine ((mdifferentiableAt_const I' I).mfderiv_prod (mdifferentiableAt_id I')).trans ?_
rw [mfderiv_id, mfderiv_const, ContinuousLinearMap.inr]
#align mfderiv_prod_right mfderiv_prod_right
| Mathlib/Geometry/Manifold/MFDeriv/SpecificFunctions.lean | 403 | 419 | theorem mfderiv_prod_eq_add {f : M × M' → M''} {p : M × M'}
(hf : MDifferentiableAt (I.prod I') I'' f p) :
mfderiv (I.prod I') I'' f p =
show E × E' →L[𝕜] E'' from
mfderiv (I.prod I') I'' (fun z : M × M' => f (z.1, p.2)) p +
mfderiv (I.prod I') I'' (fun z : M × M' => f (p.1, z.2)) p := by |
dsimp only
erw [mfderiv_comp_of_eq hf ((mdifferentiableAt_fst I I').prod_mk (mdifferentiableAt_const _ _))
rfl,
mfderiv_comp_of_eq hf ((mdifferentiableAt_const _ _).prod_mk (mdifferentiableAt_snd I I')) rfl,
← ContinuousLinearMap.comp_add,
(mdifferentiableAt_fst I I').mfderiv_prod (mdifferentiableAt_const (I.prod I') I'),
(mdifferentiableAt_const (I.prod I') I).mfderiv_prod (mdifferentiableAt_snd I I'), mfderiv_fst,
mfderiv_snd, mfderiv_const, mfderiv_const]
symm
convert ContinuousLinearMap.comp_id <| mfderiv (.prod I I') I'' f (p.1, p.2)
exact ContinuousLinearMap.coprod_inl_inr
|
import Mathlib.Topology.MetricSpace.Basic
#align_import topology.metric_space.infsep from "leanprover-community/mathlib"@"5316314b553dcf8c6716541851517c1a9715e22b"
variable {α β : Type*}
namespace Set
section Einfsep
open ENNReal
open Function
noncomputable def einfsep [EDist α] (s : Set α) : ℝ≥0∞ :=
⨅ (x ∈ s) (y ∈ s) (_ : x ≠ y), edist x y
#align set.einfsep Set.einfsep
section EDist
variable [EDist α] {x y : α} {s t : Set α}
theorem le_einfsep_iff {d} :
d ≤ s.einfsep ↔ ∀ x ∈ s, ∀ y ∈ s, x ≠ y → d ≤ edist x y := by
simp_rw [einfsep, le_iInf_iff]
#align set.le_einfsep_iff Set.le_einfsep_iff
theorem einfsep_zero : s.einfsep = 0 ↔ ∀ C > 0, ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < C := by
simp_rw [einfsep, ← _root_.bot_eq_zero, iInf_eq_bot, iInf_lt_iff, exists_prop]
#align set.einfsep_zero Set.einfsep_zero
theorem einfsep_pos : 0 < s.einfsep ↔ ∃ C > 0, ∀ x ∈ s, ∀ y ∈ s, x ≠ y → C ≤ edist x y := by
rw [pos_iff_ne_zero, Ne, einfsep_zero]
simp only [not_forall, not_exists, not_lt, exists_prop, not_and]
#align set.einfsep_pos Set.einfsep_pos
theorem einfsep_top :
s.einfsep = ∞ ↔ ∀ x ∈ s, ∀ y ∈ s, x ≠ y → edist x y = ∞ := by
simp_rw [einfsep, iInf_eq_top]
#align set.einfsep_top Set.einfsep_top
theorem einfsep_lt_top :
s.einfsep < ∞ ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < ∞ := by
simp_rw [einfsep, iInf_lt_iff, exists_prop]
#align set.einfsep_lt_top Set.einfsep_lt_top
theorem einfsep_ne_top :
s.einfsep ≠ ∞ ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y ≠ ∞ := by
simp_rw [← lt_top_iff_ne_top, einfsep_lt_top]
#align set.einfsep_ne_top Set.einfsep_ne_top
| Mathlib/Topology/MetricSpace/Infsep.lean | 79 | 81 | theorem einfsep_lt_iff {d} :
s.einfsep < d ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < d := by |
simp_rw [einfsep, iInf_lt_iff, exists_prop]
|
import Mathlib.Algebra.Group.Indicator
import Mathlib.Algebra.Group.Submonoid.Basic
import Mathlib.Data.Set.Finite
#align_import data.finsupp.defs from "leanprover-community/mathlib"@"842328d9df7e96fd90fc424e115679c15fb23a71"
noncomputable section
open Finset Function
variable {α β γ ι M M' N P G H R S : Type*}
structure Finsupp (α : Type*) (M : Type*) [Zero M] where
support : Finset α
toFun : α → M
mem_support_toFun : ∀ a, a ∈ support ↔ toFun a ≠ 0
#align finsupp Finsupp
#align finsupp.support Finsupp.support
#align finsupp.to_fun Finsupp.toFun
#align finsupp.mem_support_to_fun Finsupp.mem_support_toFun
@[inherit_doc]
infixr:25 " →₀ " => Finsupp
namespace Finsupp
section Single
variable [Zero M] {a a' : α} {b : M}
def single (a : α) (b : M) : α →₀ M where
support :=
haveI := Classical.decEq M
if b = 0 then ∅ else {a}
toFun :=
haveI := Classical.decEq α
Pi.single a b
mem_support_toFun a' := by
classical
obtain rfl | hb := eq_or_ne b 0
· simp [Pi.single, update]
rw [if_neg hb, mem_singleton]
obtain rfl | ha := eq_or_ne a' a
· simp [hb, Pi.single, update]
simp [Pi.single_eq_of_ne' ha.symm, ha]
#align finsupp.single Finsupp.single
theorem single_apply [Decidable (a = a')] : single a b a' = if a = a' then b else 0 := by
classical
simp_rw [@eq_comm _ a a']
convert Pi.single_apply a b a'
#align finsupp.single_apply Finsupp.single_apply
theorem single_apply_left {f : α → β} (hf : Function.Injective f) (x z : α) (y : M) :
single (f x) y (f z) = single x y z := by classical simp only [single_apply, hf.eq_iff]
#align finsupp.single_apply_left Finsupp.single_apply_left
theorem single_eq_set_indicator : ⇑(single a b) = Set.indicator {a} fun _ => b := by
classical
ext
simp [single_apply, Set.indicator, @eq_comm _ a]
#align finsupp.single_eq_set_indicator Finsupp.single_eq_set_indicator
@[simp]
| Mathlib/Data/Finsupp/Defs.lean | 304 | 305 | theorem single_eq_same : (single a b : α →₀ M) a = b := by |
classical exact Pi.single_eq_same (f := fun _ ↦ M) a b
|
import Mathlib.Analysis.Convex.Topology
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.Seminorm
import Mathlib.Analysis.LocallyConvex.Bounded
import Mathlib.Analysis.RCLike.Basic
#align_import analysis.convex.gauge from "leanprover-community/mathlib"@"373b03b5b9d0486534edbe94747f23cb3712f93d"
open NormedField Set
open scoped Pointwise Topology NNReal
noncomputable section
variable {𝕜 E F : Type*}
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E]
def gauge (s : Set E) (x : E) : ℝ :=
sInf { r : ℝ | 0 < r ∧ x ∈ r • s }
#align gauge gauge
variable {s t : Set E} {x : E} {a : ℝ}
theorem gauge_def : gauge s x = sInf ({ r ∈ Set.Ioi (0 : ℝ) | x ∈ r • s }) :=
rfl
#align gauge_def gauge_def
theorem gauge_def' : gauge s x = sInf {r ∈ Set.Ioi (0 : ℝ) | r⁻¹ • x ∈ s} := by
congrm sInf {r | ?_}
exact and_congr_right fun hr => mem_smul_set_iff_inv_smul_mem₀ hr.ne' _ _
#align gauge_def' gauge_def'
private theorem gauge_set_bddBelow : BddBelow { r : ℝ | 0 < r ∧ x ∈ r • s } :=
⟨0, fun _ hr => hr.1.le⟩
theorem Absorbent.gauge_set_nonempty (absorbs : Absorbent ℝ s) :
{ r : ℝ | 0 < r ∧ x ∈ r • s }.Nonempty :=
let ⟨r, hr₁, hr₂⟩ := (absorbs x).exists_pos
⟨r, hr₁, hr₂ r (Real.norm_of_nonneg hr₁.le).ge rfl⟩
#align absorbent.gauge_set_nonempty Absorbent.gauge_set_nonempty
theorem gauge_mono (hs : Absorbent ℝ s) (h : s ⊆ t) : gauge t ≤ gauge s := fun _ =>
csInf_le_csInf gauge_set_bddBelow hs.gauge_set_nonempty fun _ hr => ⟨hr.1, smul_set_mono h hr.2⟩
#align gauge_mono gauge_mono
theorem exists_lt_of_gauge_lt (absorbs : Absorbent ℝ s) (h : gauge s x < a) :
∃ b, 0 < b ∧ b < a ∧ x ∈ b • s := by
obtain ⟨b, ⟨hb, hx⟩, hba⟩ := exists_lt_of_csInf_lt absorbs.gauge_set_nonempty h
exact ⟨b, hb, hba, hx⟩
#align exists_lt_of_gauge_lt exists_lt_of_gauge_lt
@[simp]
theorem gauge_zero : gauge s 0 = 0 := by
rw [gauge_def']
by_cases h : (0 : E) ∈ s
· simp only [smul_zero, sep_true, h, csInf_Ioi]
· simp only [smul_zero, sep_false, h, Real.sInf_empty]
#align gauge_zero gauge_zero
@[simp]
theorem gauge_zero' : gauge (0 : Set E) = 0 := by
ext x
rw [gauge_def']
obtain rfl | hx := eq_or_ne x 0
· simp only [csInf_Ioi, mem_zero, Pi.zero_apply, eq_self_iff_true, sep_true, smul_zero]
· simp only [mem_zero, Pi.zero_apply, inv_eq_zero, smul_eq_zero]
convert Real.sInf_empty
exact eq_empty_iff_forall_not_mem.2 fun r hr => hr.2.elim (ne_of_gt hr.1) hx
#align gauge_zero' gauge_zero'
@[simp]
theorem gauge_empty : gauge (∅ : Set E) = 0 := by
ext
simp only [gauge_def', Real.sInf_empty, mem_empty_iff_false, Pi.zero_apply, sep_false]
#align gauge_empty gauge_empty
theorem gauge_of_subset_zero (h : s ⊆ 0) : gauge s = 0 := by
obtain rfl | rfl := subset_singleton_iff_eq.1 h
exacts [gauge_empty, gauge_zero']
#align gauge_of_subset_zero gauge_of_subset_zero
theorem gauge_nonneg (x : E) : 0 ≤ gauge s x :=
Real.sInf_nonneg _ fun _ hx => hx.1.le
#align gauge_nonneg gauge_nonneg
theorem gauge_neg (symmetric : ∀ x ∈ s, -x ∈ s) (x : E) : gauge s (-x) = gauge s x := by
have : ∀ x, -x ∈ s ↔ x ∈ s := fun x => ⟨fun h => by simpa using symmetric _ h, symmetric x⟩
simp_rw [gauge_def', smul_neg, this]
#align gauge_neg gauge_neg
theorem gauge_neg_set_neg (x : E) : gauge (-s) (-x) = gauge s x := by
simp_rw [gauge_def', smul_neg, neg_mem_neg]
#align gauge_neg_set_neg gauge_neg_set_neg
theorem gauge_neg_set_eq_gauge_neg (x : E) : gauge (-s) x = gauge s (-x) := by
rw [← gauge_neg_set_neg, neg_neg]
#align gauge_neg_set_eq_gauge_neg gauge_neg_set_eq_gauge_neg
theorem gauge_le_of_mem (ha : 0 ≤ a) (hx : x ∈ a • s) : gauge s x ≤ a := by
obtain rfl | ha' := ha.eq_or_lt
· rw [mem_singleton_iff.1 (zero_smul_set_subset _ hx), gauge_zero]
· exact csInf_le gauge_set_bddBelow ⟨ha', hx⟩
#align gauge_le_of_mem gauge_le_of_mem
theorem gauge_le_eq (hs₁ : Convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : Absorbent ℝ s) (ha : 0 ≤ a) :
{ x | gauge s x ≤ a } = ⋂ (r : ℝ) (_ : a < r), r • s := by
ext x
simp_rw [Set.mem_iInter, Set.mem_setOf_eq]
refine ⟨fun h r hr => ?_, fun h => le_of_forall_pos_lt_add fun ε hε => ?_⟩
· have hr' := ha.trans_lt hr
rw [mem_smul_set_iff_inv_smul_mem₀ hr'.ne']
obtain ⟨δ, δ_pos, hδr, hδ⟩ := exists_lt_of_gauge_lt hs₂ (h.trans_lt hr)
suffices (r⁻¹ * δ) • δ⁻¹ • x ∈ s by rwa [smul_smul, mul_inv_cancel_right₀ δ_pos.ne'] at this
rw [mem_smul_set_iff_inv_smul_mem₀ δ_pos.ne'] at hδ
refine hs₁.smul_mem_of_zero_mem hs₀ hδ ⟨by positivity, ?_⟩
rw [inv_mul_le_iff hr', mul_one]
exact hδr.le
· have hε' := (lt_add_iff_pos_right a).2 (half_pos hε)
exact
(gauge_le_of_mem (ha.trans hε'.le) <| h _ hε').trans_lt (add_lt_add_left (half_lt_self hε) _)
#align gauge_le_eq gauge_le_eq
theorem gauge_lt_eq' (absorbs : Absorbent ℝ s) (a : ℝ) :
{ x | gauge s x < a } = ⋃ (r : ℝ) (_ : 0 < r) (_ : r < a), r • s := by
ext
simp_rw [mem_setOf, mem_iUnion, exists_prop]
exact
⟨exists_lt_of_gauge_lt absorbs, fun ⟨r, hr₀, hr₁, hx⟩ =>
(gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩
#align gauge_lt_eq' gauge_lt_eq'
theorem gauge_lt_eq (absorbs : Absorbent ℝ s) (a : ℝ) :
{ x | gauge s x < a } = ⋃ r ∈ Set.Ioo 0 (a : ℝ), r • s := by
ext
simp_rw [mem_setOf, mem_iUnion, exists_prop, mem_Ioo, and_assoc]
exact
⟨exists_lt_of_gauge_lt absorbs, fun ⟨r, hr₀, hr₁, hx⟩ =>
(gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩
#align gauge_lt_eq gauge_lt_eq
theorem mem_openSegment_of_gauge_lt_one (absorbs : Absorbent ℝ s) (hgauge : gauge s x < 1) :
∃ y ∈ s, x ∈ openSegment ℝ 0 y := by
rcases exists_lt_of_gauge_lt absorbs hgauge with ⟨r, hr₀, hr₁, y, hy, rfl⟩
refine ⟨y, hy, 1 - r, r, ?_⟩
simp [*]
theorem gauge_lt_one_subset_self (hs : Convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : Absorbent ℝ s) :
{ x | gauge s x < 1 } ⊆ s := fun _x hx ↦
let ⟨_y, hys, hx⟩ := mem_openSegment_of_gauge_lt_one absorbs hx
hs.openSegment_subset h₀ hys hx
#align gauge_lt_one_subset_self gauge_lt_one_subset_self
theorem gauge_le_one_of_mem {x : E} (hx : x ∈ s) : gauge s x ≤ 1 :=
gauge_le_of_mem zero_le_one <| by rwa [one_smul]
#align gauge_le_one_of_mem gauge_le_one_of_mem
theorem gauge_add_le (hs : Convex ℝ s) (absorbs : Absorbent ℝ s) (x y : E) :
gauge s (x + y) ≤ gauge s x + gauge s y := by
refine le_of_forall_pos_lt_add fun ε hε => ?_
obtain ⟨a, ha, ha', x, hx, rfl⟩ :=
exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s x) (half_pos hε))
obtain ⟨b, hb, hb', y, hy, rfl⟩ :=
exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s y) (half_pos hε))
calc
gauge s (a • x + b • y) ≤ a + b := gauge_le_of_mem (by positivity) <| by
rw [hs.add_smul ha.le hb.le]
exact add_mem_add (smul_mem_smul_set hx) (smul_mem_smul_set hy)
_ < gauge s (a • x) + gauge s (b • y) + ε := by linarith
#align gauge_add_le gauge_add_le
theorem self_subset_gauge_le_one : s ⊆ { x | gauge s x ≤ 1 } := fun _ => gauge_le_one_of_mem
#align self_subset_gauge_le_one self_subset_gauge_le_one
theorem Convex.gauge_le (hs : Convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : Absorbent ℝ s) (a : ℝ) :
Convex ℝ { x | gauge s x ≤ a } := by
by_cases ha : 0 ≤ a
· rw [gauge_le_eq hs h₀ absorbs ha]
exact convex_iInter fun i => convex_iInter fun _ => hs.smul _
· -- Porting note: `convert` needed help
convert convex_empty (𝕜 := ℝ) (E := E)
exact eq_empty_iff_forall_not_mem.2 fun x hx => ha <| (gauge_nonneg _).trans hx
#align convex.gauge_le Convex.gauge_le
theorem Balanced.starConvex (hs : Balanced ℝ s) : StarConvex ℝ 0 s :=
starConvex_zero_iff.2 fun x hx a ha₀ ha₁ =>
hs _ (by rwa [Real.norm_of_nonneg ha₀]) (smul_mem_smul_set hx)
#align balanced.star_convex Balanced.starConvex
theorem le_gauge_of_not_mem (hs₀ : StarConvex ℝ 0 s) (hs₂ : Absorbs ℝ s {x}) (hx : x ∉ a • s) :
a ≤ gauge s x := by
rw [starConvex_zero_iff] at hs₀
obtain ⟨r, hr, h⟩ := hs₂.exists_pos
refine le_csInf ⟨r, hr, singleton_subset_iff.1 <| h _ (Real.norm_of_nonneg hr.le).ge⟩ ?_
rintro b ⟨hb, x, hx', rfl⟩
refine not_lt.1 fun hba => hx ?_
have ha := hb.trans hba
refine ⟨(a⁻¹ * b) • x, hs₀ hx' (by positivity) ?_, ?_⟩
· rw [← div_eq_inv_mul]
exact div_le_one_of_le hba.le ha.le
· dsimp only
rw [← mul_smul, mul_inv_cancel_left₀ ha.ne']
#align le_gauge_of_not_mem le_gauge_of_not_mem
theorem one_le_gauge_of_not_mem (hs₁ : StarConvex ℝ 0 s) (hs₂ : Absorbs ℝ s {x}) (hx : x ∉ s) :
1 ≤ gauge s x :=
le_gauge_of_not_mem hs₁ hs₂ <| by rwa [one_smul]
#align one_le_gauge_of_not_mem one_le_gauge_of_not_mem
open Filter
section RCLike
variable [RCLike 𝕜] [Module 𝕜 E] [IsScalarTower ℝ 𝕜 E]
@[simps!]
def gaugeSeminorm (hs₀ : Balanced 𝕜 s) (hs₁ : Convex ℝ s) (hs₂ : Absorbent ℝ s) : Seminorm 𝕜 E :=
Seminorm.of (gauge s) (gauge_add_le hs₁ hs₂) (gauge_smul hs₀)
#align gauge_seminorm gaugeSeminorm
variable {hs₀ : Balanced 𝕜 s} {hs₁ : Convex ℝ s} {hs₂ : Absorbent ℝ s} [TopologicalSpace E]
[ContinuousSMul ℝ E]
theorem gaugeSeminorm_lt_one_of_isOpen (hs : IsOpen s) {x : E} (hx : x ∈ s) :
gaugeSeminorm hs₀ hs₁ hs₂ x < 1 :=
gauge_lt_one_of_mem_of_isOpen hs hx
#align gauge_seminorm_lt_one_of_open gaugeSeminorm_lt_one_of_isOpen
| Mathlib/Analysis/Convex/Gauge.lean | 525 | 527 | theorem gaugeSeminorm_ball_one (hs : IsOpen s) : (gaugeSeminorm hs₀ hs₁ hs₂).ball 0 1 = s := by |
rw [Seminorm.ball_zero_eq]
exact gauge_lt_one_eq_self_of_isOpen hs₁ hs₂.zero_mem hs
|
import Mathlib.NumberTheory.BernoulliPolynomials
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Analysis.Calculus.Deriv.Polynomial
import Mathlib.Analysis.Fourier.AddCircle
import Mathlib.Analysis.PSeries
#align_import number_theory.zeta_values from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open scoped Nat Real Interval
open Complex MeasureTheory Set intervalIntegral
local notation "𝕌" => UnitAddCircle
section Examples
theorem hasSum_zeta_two : HasSum (fun n : ℕ => (1 : ℝ) / (n : ℝ) ^ 2) (π ^ 2 / 6) := by
convert hasSum_zeta_nat one_ne_zero using 1; rw [mul_one]
rw [bernoulli_eq_bernoulli'_of_ne_one (by decide : 2 ≠ 1), bernoulli'_two]
norm_num [Nat.factorial]; field_simp; ring
#align has_sum_zeta_two hasSum_zeta_two
theorem hasSum_zeta_four : HasSum (fun n : ℕ => (1 : ℝ) / (n : ℝ) ^ 4) (π ^ 4 / 90) := by
convert hasSum_zeta_nat two_ne_zero using 1; norm_num
rw [bernoulli_eq_bernoulli'_of_ne_one, bernoulli'_four]
· norm_num [Nat.factorial]; field_simp; ring
· decide
#align has_sum_zeta_four hasSum_zeta_four
| Mathlib/NumberTheory/ZetaValues.lean | 368 | 376 | theorem Polynomial.bernoulli_three_eval_one_quarter :
(Polynomial.bernoulli 3).eval (1 / 4) = 3 / 64 := by |
simp_rw [Polynomial.bernoulli, Finset.sum_range_succ, Polynomial.eval_add,
Polynomial.eval_monomial]
rw [Finset.sum_range_zero, Polynomial.eval_zero, zero_add, bernoulli_one]
rw [bernoulli_eq_bernoulli'_of_ne_one zero_ne_one, bernoulli'_zero,
bernoulli_eq_bernoulli'_of_ne_one (by decide : 2 ≠ 1), bernoulli'_two,
bernoulli_eq_bernoulli'_of_ne_one (by decide : 3 ≠ 1), bernoulli'_three]
norm_num
|
import Mathlib.Algebra.Group.Subgroup.Actions
import Mathlib.Algebra.Order.Module.Algebra
import Mathlib.LinearAlgebra.LinearIndependent
import Mathlib.Algebra.Ring.Subring.Units
#align_import linear_algebra.ray from "leanprover-community/mathlib"@"0f6670b8af2dff699de1c0b4b49039b31bc13c46"
noncomputable section
section StrictOrderedCommSemiring
variable (R : Type*) [StrictOrderedCommSemiring R]
variable {M : Type*} [AddCommMonoid M] [Module R M]
variable {N : Type*} [AddCommMonoid N] [Module R N]
variable (ι : Type*) [DecidableEq ι]
def SameRay (v₁ v₂ : M) : Prop :=
v₁ = 0 ∨ v₂ = 0 ∨ ∃ r₁ r₂ : R, 0 < r₁ ∧ 0 < r₂ ∧ r₁ • v₁ = r₂ • v₂
#align same_ray SameRay
variable {R}
-- Porting note(#5171): removed has_nonempty_instance nolint, no such linter
set_option linter.unusedVariables false in
@[nolint unusedArguments]
def RayVector (R M : Type*) [Zero M] :=
{ v : M // v ≠ 0 }
#align ray_vector RayVector
-- Porting note: Made Coe into CoeOut so it's not dangerous anymore
instance RayVector.coe [Zero M] : CoeOut (RayVector R M) M where
coe := Subtype.val
#align ray_vector.has_coe RayVector.coe
instance {R M : Type*} [Zero M] [Nontrivial M] : Nonempty (RayVector R M) :=
let ⟨x, hx⟩ := exists_ne (0 : M)
⟨⟨x, hx⟩⟩
variable (R M)
instance RayVector.Setoid : Setoid (RayVector R M) where
r x y := SameRay R (x : M) y
iseqv :=
⟨fun x => SameRay.refl _, fun h => h.symm, by
intros x y z hxy hyz
exact hxy.trans hyz fun hy => (y.2 hy).elim⟩
-- Porting note(#5171): removed has_nonempty_instance nolint, no such linter
def Module.Ray :=
Quotient (RayVector.Setoid R M)
#align module.ray Module.Ray
variable {R M}
theorem equiv_iff_sameRay {v₁ v₂ : RayVector R M} : v₁ ≈ v₂ ↔ SameRay R (v₁ : M) v₂ :=
Iff.rfl
#align equiv_iff_same_ray equiv_iff_sameRay
variable (R)
-- Porting note: Removed `protected` here, not in namespace
def rayOfNeZero (v : M) (h : v ≠ 0) : Module.Ray R M :=
⟦⟨v, h⟩⟧
#align ray_of_ne_zero rayOfNeZero
theorem Module.Ray.ind {C : Module.Ray R M → Prop} (h : ∀ (v) (hv : v ≠ 0), C (rayOfNeZero R v hv))
(x : Module.Ray R M) : C x :=
Quotient.ind (Subtype.rec <| h) x
#align module.ray.ind Module.Ray.ind
variable {R}
instance [Nontrivial M] : Nonempty (Module.Ray R M) :=
Nonempty.map Quotient.mk' inferInstance
theorem ray_eq_iff {v₁ v₂ : M} (hv₁ : v₁ ≠ 0) (hv₂ : v₂ ≠ 0) :
rayOfNeZero R _ hv₁ = rayOfNeZero R _ hv₂ ↔ SameRay R v₁ v₂ :=
Quotient.eq'
#align ray_eq_iff ray_eq_iff
@[simp]
theorem ray_pos_smul {v : M} (h : v ≠ 0) {r : R} (hr : 0 < r) (hrv : r • v ≠ 0) :
rayOfNeZero R (r • v) hrv = rayOfNeZero R v h :=
(ray_eq_iff _ _).2 <| SameRay.sameRay_pos_smul_left v hr
#align ray_pos_smul ray_pos_smul
def RayVector.mapLinearEquiv (e : M ≃ₗ[R] N) : RayVector R M ≃ RayVector R N :=
Equiv.subtypeEquiv e.toEquiv fun _ => e.map_ne_zero_iff.symm
#align ray_vector.map_linear_equiv RayVector.mapLinearEquiv
def Module.Ray.map (e : M ≃ₗ[R] N) : Module.Ray R M ≃ Module.Ray R N :=
Quotient.congr (RayVector.mapLinearEquiv e) fun _ _=> (SameRay.sameRay_map_iff _).symm
#align module.ray.map Module.Ray.map
@[simp]
theorem Module.Ray.map_apply (e : M ≃ₗ[R] N) (v : M) (hv : v ≠ 0) :
Module.Ray.map e (rayOfNeZero _ v hv) = rayOfNeZero _ (e v) (e.map_ne_zero_iff.2 hv) :=
rfl
#align module.ray.map_apply Module.Ray.map_apply
@[simp]
theorem Module.Ray.map_refl : (Module.Ray.map <| LinearEquiv.refl R M) = Equiv.refl _ :=
Equiv.ext <| Module.Ray.ind R fun _ _ => rfl
#align module.ray.map_refl Module.Ray.map_refl
@[simp]
theorem Module.Ray.map_symm (e : M ≃ₗ[R] N) : (Module.Ray.map e).symm = Module.Ray.map e.symm :=
rfl
#align module.ray.map_symm Module.Ray.map_symm
section StrictOrderedCommRing
variable {R : Type*} [StrictOrderedCommRing R]
variable {M N : Type*} [AddCommGroup M] [AddCommGroup N] [Module R M] [Module R N] {x y : M}
@[simp]
theorem sameRay_neg_iff : SameRay R (-x) (-y) ↔ SameRay R x y := by
simp only [SameRay, neg_eq_zero, smul_neg, neg_inj]
#align same_ray_neg_iff sameRay_neg_iff
alias ⟨SameRay.of_neg, SameRay.neg⟩ := sameRay_neg_iff
#align same_ray.of_neg SameRay.of_neg
#align same_ray.neg SameRay.neg
theorem sameRay_neg_swap : SameRay R (-x) y ↔ SameRay R x (-y) := by rw [← sameRay_neg_iff, neg_neg]
#align same_ray_neg_swap sameRay_neg_swap
theorem eq_zero_of_sameRay_neg_smul_right [NoZeroSMulDivisors R M] {r : R} (hr : r < 0)
(h : SameRay R x (r • x)) : x = 0 := by
rcases h with (rfl | h₀ | ⟨r₁, r₂, hr₁, hr₂, h⟩)
· rfl
· simpa [hr.ne] using h₀
· rw [← sub_eq_zero, smul_smul, ← sub_smul, smul_eq_zero] at h
refine h.resolve_left (ne_of_gt <| sub_pos.2 ?_)
exact (mul_neg_of_pos_of_neg hr₂ hr).trans hr₁
#align eq_zero_of_same_ray_neg_smul_right eq_zero_of_sameRay_neg_smul_right
theorem eq_zero_of_sameRay_self_neg [NoZeroSMulDivisors R M] (h : SameRay R x (-x)) : x = 0 := by
nontriviality M; haveI : Nontrivial R := Module.nontrivial R M
refine eq_zero_of_sameRay_neg_smul_right (neg_lt_zero.2 (zero_lt_one' R)) ?_
rwa [neg_one_smul]
#align eq_zero_of_same_ray_self_neg eq_zero_of_sameRay_self_neg
section LinearOrderedCommRing
variable {R : Type*} [LinearOrderedCommRing R]
variable {M : Type*} [AddCommGroup M] [Module R M]
-- Porting note: Needed to add coercion ↥ below
theorem sameRay_of_mem_orbit {v₁ v₂ : M} (h : v₁ ∈ MulAction.orbit ↥(Units.posSubgroup R) v₂) :
SameRay R v₁ v₂ := by
rcases h with ⟨⟨r, hr : 0 < r.1⟩, rfl : r • v₂ = v₁⟩
exact SameRay.sameRay_pos_smul_left _ hr
#align same_ray_of_mem_orbit sameRay_of_mem_orbit
@[simp]
theorem units_inv_smul (u : Rˣ) (v : Module.Ray R M) : u⁻¹ • v = u • v :=
have := mul_self_pos.2 u.ne_zero
calc
u⁻¹ • v = (u * u) • u⁻¹ • v := Eq.symm <| (u⁻¹ • v).units_smul_of_pos _ (by exact this)
_ = u • v := by rw [mul_smul, smul_inv_smul]
#align units_inv_smul units_inv_smul
section
variable [NoZeroSMulDivisors R M]
@[simp]
theorem sameRay_smul_right_iff {v : M} {r : R} : SameRay R v (r • v) ↔ 0 ≤ r ∨ v = 0 :=
⟨fun hrv => or_iff_not_imp_left.2 fun hr => eq_zero_of_sameRay_neg_smul_right (not_le.1 hr) hrv,
or_imp.2 ⟨SameRay.sameRay_nonneg_smul_right v, fun h => h.symm ▸ SameRay.zero_left _⟩⟩
#align same_ray_smul_right_iff sameRay_smul_right_iff
theorem sameRay_smul_right_iff_of_ne {v : M} (hv : v ≠ 0) {r : R} (hr : r ≠ 0) :
SameRay R v (r • v) ↔ 0 < r := by
simp only [sameRay_smul_right_iff, hv, or_false_iff, hr.symm.le_iff_lt]
#align same_ray_smul_right_iff_of_ne sameRay_smul_right_iff_of_ne
@[simp]
theorem sameRay_smul_left_iff {v : M} {r : R} : SameRay R (r • v) v ↔ 0 ≤ r ∨ v = 0 :=
SameRay.sameRay_comm.trans sameRay_smul_right_iff
#align same_ray_smul_left_iff sameRay_smul_left_iff
theorem sameRay_smul_left_iff_of_ne {v : M} (hv : v ≠ 0) {r : R} (hr : r ≠ 0) :
SameRay R (r • v) v ↔ 0 < r :=
SameRay.sameRay_comm.trans (sameRay_smul_right_iff_of_ne hv hr)
#align same_ray_smul_left_iff_of_ne sameRay_smul_left_iff_of_ne
@[simp]
theorem sameRay_neg_smul_right_iff {v : M} {r : R} : SameRay R (-v) (r • v) ↔ r ≤ 0 ∨ v = 0 := by
rw [← sameRay_neg_iff, neg_neg, ← neg_smul, sameRay_smul_right_iff, neg_nonneg]
#align same_ray_neg_smul_right_iff sameRay_neg_smul_right_iff
theorem sameRay_neg_smul_right_iff_of_ne {v : M} {r : R} (hv : v ≠ 0) (hr : r ≠ 0) :
SameRay R (-v) (r • v) ↔ r < 0 := by
simp only [sameRay_neg_smul_right_iff, hv, or_false_iff, hr.le_iff_lt]
#align same_ray_neg_smul_right_iff_of_ne sameRay_neg_smul_right_iff_of_ne
@[simp]
theorem sameRay_neg_smul_left_iff {v : M} {r : R} : SameRay R (r • v) (-v) ↔ r ≤ 0 ∨ v = 0 :=
SameRay.sameRay_comm.trans sameRay_neg_smul_right_iff
#align same_ray_neg_smul_left_iff sameRay_neg_smul_left_iff
theorem sameRay_neg_smul_left_iff_of_ne {v : M} {r : R} (hv : v ≠ 0) (hr : r ≠ 0) :
SameRay R (r • v) (-v) ↔ r < 0 :=
SameRay.sameRay_comm.trans <| sameRay_neg_smul_right_iff_of_ne hv hr
#align same_ray_neg_smul_left_iff_of_ne sameRay_neg_smul_left_iff_of_ne
-- Porting note: `(u.1 : R)` was `(u : R)`, CoeHead from R to Rˣ does not seem to work.
@[simp]
theorem units_smul_eq_self_iff {u : Rˣ} {v : Module.Ray R M} : u • v = v ↔ 0 < u.1 := by
induction' v using Module.Ray.ind with v hv
simp only [smul_rayOfNeZero, ray_eq_iff, Units.smul_def, sameRay_smul_left_iff_of_ne hv u.ne_zero]
#align units_smul_eq_self_iff units_smul_eq_self_iff
@[simp]
theorem units_smul_eq_neg_iff {u : Rˣ} {v : Module.Ray R M} : u • v = -v ↔ u.1 < 0 := by
rw [← neg_inj, neg_neg, ← Module.Ray.neg_units_smul, units_smul_eq_self_iff, Units.val_neg,
neg_pos]
#align units_smul_eq_neg_iff units_smul_eq_neg_iff
theorem sameRay_or_sameRay_neg_iff_not_linearIndependent {x y : M} :
SameRay R x y ∨ SameRay R x (-y) ↔ ¬LinearIndependent R ![x, y] := by
by_cases hx : x = 0; · simpa [hx] using fun h : LinearIndependent R ![0, y] => h.ne_zero 0 rfl
by_cases hy : y = 0; · simpa [hy] using fun h : LinearIndependent R ![x, 0] => h.ne_zero 1 rfl
simp_rw [Fintype.not_linearIndependent_iff]
refine ⟨fun h => ?_, fun h => ?_⟩
· rcases h with ((hx0 | hy0 | ⟨r₁, r₂, hr₁, _, h⟩) | (hx0 | hy0 | ⟨r₁, r₂, hr₁, _, h⟩))
· exact False.elim (hx hx0)
· exact False.elim (hy hy0)
· refine ⟨![r₁, -r₂], ?_⟩
rw [Fin.sum_univ_two, Fin.exists_fin_two]
simp [h, hr₁.ne.symm]
· exact False.elim (hx hx0)
· exact False.elim (hy (neg_eq_zero.1 hy0))
· refine ⟨![r₁, r₂], ?_⟩
rw [Fin.sum_univ_two, Fin.exists_fin_two]
simp [h, hr₁.ne.symm]
· rcases h with ⟨m, hm, hmne⟩
rw [Fin.sum_univ_two, add_eq_zero_iff_eq_neg, Matrix.cons_val_zero,
Matrix.cons_val_one, Matrix.head_cons] at hm
rcases lt_trichotomy (m 0) 0 with (hm0 | hm0 | hm0) <;>
rcases lt_trichotomy (m 1) 0 with (hm1 | hm1 | hm1)
· refine
Or.inr (Or.inr (Or.inr ⟨-m 0, -m 1, Left.neg_pos_iff.2 hm0, Left.neg_pos_iff.2 hm1, ?_⟩))
rw [neg_smul_neg, neg_smul, hm, neg_neg]
· exfalso
simp [hm1, hx, hm0.ne] at hm
· refine Or.inl (Or.inr (Or.inr ⟨-m 0, m 1, Left.neg_pos_iff.2 hm0, hm1, ?_⟩))
rw [neg_smul, hm, neg_neg]
· exfalso
simp [hm0, hy, hm1.ne] at hm
· rw [Fin.exists_fin_two] at hmne
exact False.elim (not_and_or.2 hmne ⟨hm0, hm1⟩)
· exfalso
simp [hm0, hy, hm1.ne.symm] at hm
· refine Or.inl (Or.inr (Or.inr ⟨m 0, -m 1, hm0, Left.neg_pos_iff.2 hm1, ?_⟩))
rwa [neg_smul]
· exfalso
simp [hm1, hx, hm0.ne.symm] at hm
· refine Or.inr (Or.inr (Or.inr ⟨m 0, m 1, hm0, hm1, ?_⟩))
rwa [smul_neg]
#align same_ray_or_same_ray_neg_iff_not_linear_independent sameRay_or_sameRay_neg_iff_not_linearIndependent
| Mathlib/LinearAlgebra/Ray.lean | 629 | 633 | theorem sameRay_or_ne_zero_and_sameRay_neg_iff_not_linearIndependent {x y : M} :
SameRay R x y ∨ x ≠ 0 ∧ y ≠ 0 ∧ SameRay R x (-y) ↔ ¬LinearIndependent R ![x, y] := by |
rw [← sameRay_or_sameRay_neg_iff_not_linearIndependent]
by_cases hx : x = 0; · simp [hx]
by_cases hy : y = 0 <;> simp [hx, hy]
|
import Mathlib.Algebra.BigOperators.NatAntidiagonal
import Mathlib.Algebra.GeomSum
import Mathlib.Data.Fintype.BigOperators
import Mathlib.RingTheory.PowerSeries.Inverse
import Mathlib.RingTheory.PowerSeries.WellKnown
import Mathlib.Tactic.FieldSimp
#align_import number_theory.bernoulli from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
open Nat Finset Finset.Nat PowerSeries
variable (A : Type*) [CommRing A] [Algebra ℚ A]
def bernoulli' : ℕ → ℚ :=
WellFounded.fix Nat.lt_wfRel.wf fun n bernoulli' =>
1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k k.2
#align bernoulli' bernoulli'
theorem bernoulli'_def' (n : ℕ) :
bernoulli' n = 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k :=
WellFounded.fix_eq _ _ _
#align bernoulli'_def' bernoulli'_def'
theorem bernoulli'_def (n : ℕ) :
bernoulli' n = 1 - ∑ k ∈ range n, n.choose k / (n - k + 1) * bernoulli' k := by
rw [bernoulli'_def', ← Fin.sum_univ_eq_sum_range]
#align bernoulli'_def bernoulli'_def
theorem bernoulli'_spec (n : ℕ) :
(∑ k ∈ range n.succ, (n.choose (n - k) : ℚ) / (n - k + 1) * bernoulli' k) = 1 := by
rw [sum_range_succ_comm, bernoulli'_def n, tsub_self, choose_zero_right, sub_self, zero_add,
div_one, cast_one, one_mul, sub_add, ← sum_sub_distrib, ← sub_eq_zero, sub_sub_cancel_left,
neg_eq_zero]
exact Finset.sum_eq_zero (fun x hx => by rw [choose_symm (le_of_lt (mem_range.1 hx)), sub_self])
#align bernoulli'_spec bernoulli'_spec
theorem bernoulli'_spec' (n : ℕ) :
(∑ k ∈ antidiagonal n, ((k.1 + k.2).choose k.2 : ℚ) / (k.2 + 1) * bernoulli' k.1) = 1 := by
refine ((sum_antidiagonal_eq_sum_range_succ_mk _ n).trans ?_).trans (bernoulli'_spec n)
refine sum_congr rfl fun x hx => ?_
simp only [add_tsub_cancel_of_le, mem_range_succ_iff.mp hx, cast_sub]
#align bernoulli'_spec' bernoulli'_spec'
@[simp]
theorem sum_bernoulli' (n : ℕ) : (∑ k ∈ range n, (n.choose k : ℚ) * bernoulli' k) = n := by
cases' n with n
· simp
suffices
((n + 1 : ℚ) * ∑ k ∈ range n, ↑(n.choose k) / (n - k + 1) * bernoulli' k) =
∑ x ∈ range n, ↑(n.succ.choose x) * bernoulli' x by
rw_mod_cast [sum_range_succ, bernoulli'_def, ← this, choose_succ_self_right]
ring
simp_rw [mul_sum, ← mul_assoc]
refine sum_congr rfl fun k hk => ?_
congr
have : ((n - k : ℕ) : ℚ) + 1 ≠ 0 := by norm_cast
field_simp [← cast_sub (mem_range.1 hk).le, mul_comm]
rw_mod_cast [tsub_add_eq_add_tsub (mem_range.1 hk).le, choose_mul_succ_eq]
#align sum_bernoulli' sum_bernoulli'
def bernoulli'PowerSeries :=
mk fun n => algebraMap ℚ A (bernoulli' n / n !)
#align bernoulli'_power_series bernoulli'PowerSeries
theorem bernoulli'PowerSeries_mul_exp_sub_one :
bernoulli'PowerSeries A * (exp A - 1) = X * exp A := by
ext n
-- constant coefficient is a special case
cases' n with n
· simp
rw [bernoulli'PowerSeries, coeff_mul, mul_comm X, sum_antidiagonal_succ']
suffices (∑ p ∈ antidiagonal n,
bernoulli' p.1 / p.1! * ((p.2 + 1) * p.2! : ℚ)⁻¹) = (n ! : ℚ)⁻¹ by
simpa [map_sum, Nat.factorial] using congr_arg (algebraMap ℚ A) this
apply eq_inv_of_mul_eq_one_left
rw [sum_mul]
convert bernoulli'_spec' n using 1
apply sum_congr rfl
simp_rw [mem_antidiagonal]
rintro ⟨i, j⟩ rfl
have := factorial_mul_factorial_dvd_factorial_add i j
field_simp [mul_comm _ (bernoulli' i), mul_assoc, add_choose]
norm_cast
simp [mul_comm (j + 1)]
#align bernoulli'_power_series_mul_exp_sub_one bernoulli'PowerSeries_mul_exp_sub_one
theorem bernoulli'_odd_eq_zero {n : ℕ} (h_odd : Odd n) (hlt : 1 < n) : bernoulli' n = 0 := by
let B := mk fun n => bernoulli' n / (n ! : ℚ)
suffices (B - evalNegHom B) * (exp ℚ - 1) = X * (exp ℚ - 1) by
cases' mul_eq_mul_right_iff.mp this with h h <;>
simp only [PowerSeries.ext_iff, evalNegHom, coeff_X] at h
· apply eq_zero_of_neg_eq
specialize h n
split_ifs at h <;> simp_all [B, h_odd.neg_one_pow, factorial_ne_zero]
· simpa (config := {decide := true}) [Nat.factorial] using h 1
have h : B * (exp ℚ - 1) = X * exp ℚ := by
simpa [bernoulli'PowerSeries] using bernoulli'PowerSeries_mul_exp_sub_one ℚ
rw [sub_mul, h, mul_sub X, sub_right_inj, ← neg_sub, mul_neg, neg_eq_iff_eq_neg]
suffices evalNegHom (B * (exp ℚ - 1)) * exp ℚ = evalNegHom (X * exp ℚ) * exp ℚ by
rw [map_mul, map_mul] at this -- Porting note: Why doesn't simp do this?
simpa [mul_assoc, sub_mul, mul_comm (evalNegHom (exp ℚ)), exp_mul_exp_neg_eq_one]
congr
#align bernoulli'_odd_eq_zero bernoulli'_odd_eq_zero
def bernoulli (n : ℕ) : ℚ :=
(-1) ^ n * bernoulli' n
#align bernoulli bernoulli
theorem bernoulli'_eq_bernoulli (n : ℕ) : bernoulli' n = (-1) ^ n * bernoulli n := by
simp [bernoulli, ← mul_assoc, ← sq, ← pow_mul, mul_comm n 2, pow_mul]
#align bernoulli'_eq_bernoulli bernoulli'_eq_bernoulli
@[simp]
theorem bernoulli_zero : bernoulli 0 = 1 := by simp [bernoulli]
#align bernoulli_zero bernoulli_zero
@[simp]
theorem bernoulli_one : bernoulli 1 = -1 / 2 := by norm_num [bernoulli]
#align bernoulli_one bernoulli_one
| Mathlib/NumberTheory/Bernoulli.lean | 216 | 221 | theorem bernoulli_eq_bernoulli'_of_ne_one {n : ℕ} (hn : n ≠ 1) : bernoulli n = bernoulli' n := by |
by_cases h0 : n = 0; · simp [h0]
rw [bernoulli, neg_one_pow_eq_pow_mod_two]
cases' mod_two_eq_zero_or_one n with h h
· simp [h]
· simp [bernoulli'_odd_eq_zero (odd_iff.mpr h) (one_lt_iff_ne_zero_and_ne_one.mpr ⟨h0, hn⟩)]
|
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
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]
theorem lintegral_indicator_const {s : Set α} (hs : MeasurableSet s) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s :=
lintegral_indicator_const₀ hs.nullMeasurableSet c
#align measure_theory.lintegral_indicator_const MeasureTheory.lintegral_indicator_const
theorem set_lintegral_eq_const {f : α → ℝ≥0∞} (hf : Measurable f) (r : ℝ≥0∞) :
∫⁻ x in { x | f x = r }, f x ∂μ = r * μ { x | f x = r } := by
have : ∀ᵐ x ∂μ, x ∈ { x | f x = r } → f x = r := ae_of_all μ fun _ hx => hx
rw [set_lintegral_congr_fun _ this]
· rw [lintegral_const, Measure.restrict_apply MeasurableSet.univ, Set.univ_inter]
· exact hf (measurableSet_singleton r)
#align measure_theory.set_lintegral_eq_const MeasureTheory.set_lintegral_eq_const
theorem lintegral_indicator_one_le (s : Set α) : ∫⁻ a, s.indicator 1 a ∂μ ≤ μ s :=
(lintegral_indicator_const_le _ _).trans <| (one_mul _).le
@[simp]
theorem lintegral_indicator_one₀ (hs : NullMeasurableSet s μ) : ∫⁻ a, s.indicator 1 a ∂μ = μ s :=
(lintegral_indicator_const₀ hs _).trans <| one_mul _
@[simp]
theorem lintegral_indicator_one (hs : MeasurableSet s) : ∫⁻ a, s.indicator 1 a ∂μ = μ s :=
(lintegral_indicator_const hs _).trans <| one_mul _
#align measure_theory.lintegral_indicator_one MeasureTheory.lintegral_indicator_one
theorem lintegral_add_mul_meas_add_le_le_lintegral {f g : α → ℝ≥0∞} (hle : f ≤ᵐ[μ] g)
(hg : AEMeasurable g μ) (ε : ℝ≥0∞) :
∫⁻ a, f a ∂μ + ε * μ { x | f x + ε ≤ g x } ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_le_lintegral_eq μ f with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ x, f x ∂μ + ε * μ { x | f x + ε ≤ g x } = ∫⁻ x, φ x ∂μ + ε * μ { x | f x + ε ≤ g x } := by
rw [hφ_eq]
_ ≤ ∫⁻ x, φ x ∂μ + ε * μ { x | φ x + ε ≤ g x } := by
gcongr
exact fun x => (add_le_add_right (hφ_le _) _).trans
_ = ∫⁻ x, φ x + indicator { x | φ x + ε ≤ g x } (fun _ => ε) x ∂μ := by
rw [lintegral_add_left hφm, lintegral_indicator₀, set_lintegral_const]
exact measurableSet_le (hφm.nullMeasurable.measurable'.add_const _) hg.nullMeasurable
_ ≤ ∫⁻ x, g x ∂μ := lintegral_mono_ae (hle.mono fun x hx₁ => ?_)
simp only [indicator_apply]; split_ifs with hx₂
exacts [hx₂, (add_zero _).trans_le <| (hφ_le x).trans hx₁]
#align measure_theory.lintegral_add_mul_meas_add_le_le_lintegral MeasureTheory.lintegral_add_mul_meas_add_le_le_lintegral
theorem mul_meas_ge_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ := by
simpa only [lintegral_zero, zero_add] using
lintegral_add_mul_meas_add_le_le_lintegral (ae_of_all _ fun x => zero_le (f x)) hf ε
#align measure_theory.mul_meas_ge_le_lintegral₀ MeasureTheory.mul_meas_ge_le_lintegral₀
theorem mul_meas_ge_le_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ :=
mul_meas_ge_le_lintegral₀ hf.aemeasurable ε
#align measure_theory.mul_meas_ge_le_lintegral MeasureTheory.mul_meas_ge_le_lintegral
lemma meas_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ)
{s : Set α} (hs : ∀ x ∈ s, 1 ≤ f x) : μ s ≤ ∫⁻ a, f a ∂μ := by
apply le_trans _ (mul_meas_ge_le_lintegral₀ hf 1)
rw [one_mul]
exact measure_mono hs
lemma lintegral_le_meas {s : Set α} {f : α → ℝ≥0∞} (hf : ∀ a, f a ≤ 1) (h'f : ∀ a ∈ sᶜ, f a = 0) :
∫⁻ a, f a ∂μ ≤ μ s := by
apply (lintegral_mono (fun x ↦ ?_)).trans (lintegral_indicator_one_le s)
by_cases hx : x ∈ s
· simpa [hx] using hf x
· simpa [hx] using h'f x hx
theorem lintegral_eq_top_of_measure_eq_top_ne_zero {f : α → ℝ≥0∞} (hf : AEMeasurable f μ)
(hμf : μ {x | f x = ∞} ≠ 0) : ∫⁻ x, f x ∂μ = ∞ :=
eq_top_iff.mpr <|
calc
∞ = ∞ * μ { x | ∞ ≤ f x } := by simp [mul_eq_top, hμf]
_ ≤ ∫⁻ x, f x ∂μ := mul_meas_ge_le_lintegral₀ hf ∞
#align measure_theory.lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.lintegral_eq_top_of_measure_eq_top_ne_zero
theorem setLintegral_eq_top_of_measure_eq_top_ne_zero (hf : AEMeasurable f (μ.restrict s))
(hμf : μ ({x ∈ s | f x = ∞}) ≠ 0) : ∫⁻ x in s, f x ∂μ = ∞ :=
lintegral_eq_top_of_measure_eq_top_ne_zero hf <|
mt (eq_bot_mono <| by rw [← setOf_inter_eq_sep]; exact Measure.le_restrict_apply _ _) hμf
#align measure_theory.set_lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.setLintegral_eq_top_of_measure_eq_top_ne_zero
theorem measure_eq_top_of_lintegral_ne_top (hf : AEMeasurable f μ) (hμf : ∫⁻ x, f x ∂μ ≠ ∞) :
μ {x | f x = ∞} = 0 :=
of_not_not fun h => hμf <| lintegral_eq_top_of_measure_eq_top_ne_zero hf h
#align measure_theory.measure_eq_top_of_lintegral_ne_top MeasureTheory.measure_eq_top_of_lintegral_ne_top
theorem measure_eq_top_of_setLintegral_ne_top (hf : AEMeasurable f (μ.restrict s))
(hμf : ∫⁻ x in s, f x ∂μ ≠ ∞) : μ ({x ∈ s | f x = ∞}) = 0 :=
of_not_not fun h => hμf <| setLintegral_eq_top_of_measure_eq_top_ne_zero hf h
#align measure_theory.measure_eq_top_of_set_lintegral_ne_top MeasureTheory.measure_eq_top_of_setLintegral_ne_top
theorem meas_ge_le_lintegral_div {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) {ε : ℝ≥0∞} (hε : ε ≠ 0)
(hε' : ε ≠ ∞) : μ { x | ε ≤ f x } ≤ (∫⁻ a, f a ∂μ) / ε :=
(ENNReal.le_div_iff_mul_le (Or.inl hε) (Or.inl hε')).2 <| by
rw [mul_comm]
exact mul_meas_ge_le_lintegral₀ hf ε
#align measure_theory.meas_ge_le_lintegral_div MeasureTheory.meas_ge_le_lintegral_div
theorem ae_eq_of_ae_le_of_lintegral_le {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) (hf : ∫⁻ x, f x ∂μ ≠ ∞)
(hg : AEMeasurable g μ) (hgf : ∫⁻ x, g x ∂μ ≤ ∫⁻ x, f x ∂μ) : f =ᵐ[μ] g := by
have : ∀ n : ℕ, ∀ᵐ x ∂μ, g x < f x + (n : ℝ≥0∞)⁻¹ := by
intro n
simp only [ae_iff, not_lt]
have : ∫⁻ x, f x ∂μ + (↑n)⁻¹ * μ { x : α | f x + (n : ℝ≥0∞)⁻¹ ≤ g x } ≤ ∫⁻ x, f x ∂μ :=
(lintegral_add_mul_meas_add_le_le_lintegral hfg hg n⁻¹).trans hgf
rw [(ENNReal.cancel_of_ne hf).add_le_iff_nonpos_right, nonpos_iff_eq_zero, mul_eq_zero] at this
exact this.resolve_left (ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _))
refine hfg.mp ((ae_all_iff.2 this).mono fun x hlt hle => hle.antisymm ?_)
suffices Tendsto (fun n : ℕ => f x + (n : ℝ≥0∞)⁻¹) atTop (𝓝 (f x)) from
ge_of_tendsto' this fun i => (hlt i).le
simpa only [inv_top, add_zero] using
tendsto_const_nhds.add (ENNReal.tendsto_inv_iff.2 ENNReal.tendsto_nat_nhds_top)
#align measure_theory.ae_eq_of_ae_le_of_lintegral_le MeasureTheory.ae_eq_of_ae_le_of_lintegral_le
@[simp]
theorem lintegral_eq_zero_iff' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 :=
have : ∫⁻ _ : α, 0 ∂μ ≠ ∞ := by simp [lintegral_zero, zero_ne_top]
⟨fun h =>
(ae_eq_of_ae_le_of_lintegral_le (ae_of_all _ <| zero_le f) this hf
(h.trans lintegral_zero.symm).le).symm,
fun h => (lintegral_congr_ae h).trans lintegral_zero⟩
#align measure_theory.lintegral_eq_zero_iff' MeasureTheory.lintegral_eq_zero_iff'
@[simp]
theorem lintegral_eq_zero_iff {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 :=
lintegral_eq_zero_iff' hf.aemeasurable
#align measure_theory.lintegral_eq_zero_iff MeasureTheory.lintegral_eq_zero_iff
theorem lintegral_pos_iff_support {f : α → ℝ≥0∞} (hf : Measurable f) :
(0 < ∫⁻ a, f a ∂μ) ↔ 0 < μ (Function.support f) := by
simp [pos_iff_ne_zero, hf, Filter.EventuallyEq, ae_iff, Function.support]
#align measure_theory.lintegral_pos_iff_support MeasureTheory.lintegral_pos_iff_support
theorem setLintegral_pos_iff {f : α → ℝ≥0∞} (hf : Measurable f) {s : Set α} :
0 < ∫⁻ a in s, f a ∂μ ↔ 0 < μ (Function.support f ∩ s) := by
rw [lintegral_pos_iff_support hf, Measure.restrict_apply (measurableSet_support hf)]
theorem lintegral_iSup_ae {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n))
(h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f n.succ a) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
let ⟨s, hs⟩ := exists_measurable_superset_of_null (ae_iff.1 (ae_all_iff.2 h_mono))
let g n a := if a ∈ s then 0 else f n a
have g_eq_f : ∀ᵐ a ∂μ, ∀ n, g n a = f n a :=
(measure_zero_iff_ae_nmem.1 hs.2.2).mono fun a ha n => if_neg ha
calc
∫⁻ a, ⨆ n, f n a ∂μ = ∫⁻ a, ⨆ n, g n a ∂μ :=
lintegral_congr_ae <| g_eq_f.mono fun a ha => by simp only [ha]
_ = ⨆ n, ∫⁻ a, g n a ∂μ :=
(lintegral_iSup (fun n => measurable_const.piecewise hs.2.1 (hf n))
(monotone_nat_of_le_succ fun n a => ?_))
_ = ⨆ n, ∫⁻ a, f n a ∂μ := by simp only [lintegral_congr_ae (g_eq_f.mono fun _a ha => ha _)]
simp only [g]
split_ifs with h
· rfl
· have := Set.not_mem_subset hs.1 h
simp only [not_forall, not_le, mem_setOf_eq, not_exists, not_lt] at this
exact this n
#align measure_theory.lintegral_supr_ae MeasureTheory.lintegral_iSup_ae
theorem lintegral_sub' {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞)
(h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ := by
refine ENNReal.eq_sub_of_add_eq hg_fin ?_
rw [← lintegral_add_right' _ hg]
exact lintegral_congr_ae (h_le.mono fun x hx => tsub_add_cancel_of_le hx)
#align measure_theory.lintegral_sub' MeasureTheory.lintegral_sub'
theorem lintegral_sub {f g : α → ℝ≥0∞} (hg : Measurable g) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞)
(h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ :=
lintegral_sub' hg.aemeasurable hg_fin h_le
#align measure_theory.lintegral_sub MeasureTheory.lintegral_sub
theorem lintegral_sub_le' (f g : α → ℝ≥0∞) (hf : AEMeasurable f μ) :
∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ := by
rw [tsub_le_iff_right]
by_cases hfi : ∫⁻ x, f x ∂μ = ∞
· rw [hfi, add_top]
exact le_top
· rw [← lintegral_add_right' _ hf]
gcongr
exact le_tsub_add
#align measure_theory.lintegral_sub_le' MeasureTheory.lintegral_sub_le'
theorem lintegral_sub_le (f g : α → ℝ≥0∞) (hf : Measurable f) :
∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ :=
lintegral_sub_le' f g hf.aemeasurable
#align measure_theory.lintegral_sub_le MeasureTheory.lintegral_sub_le
theorem lintegral_strict_mono_of_ae_le_of_frequently_ae_lt {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) (h : ∃ᵐ x ∂μ, f x ≠ g x) :
∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by
contrapose! h
simp only [not_frequently, Ne, Classical.not_not]
exact ae_eq_of_ae_le_of_lintegral_le h_le hfi hg h
#align measure_theory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt MeasureTheory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt
theorem lintegral_strict_mono_of_ae_le_of_ae_lt_on {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) {s : Set α} (hμs : μ s ≠ 0)
(h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ :=
lintegral_strict_mono_of_ae_le_of_frequently_ae_lt hg hfi h_le <|
((frequently_ae_mem_iff.2 hμs).and_eventually h).mono fun _x hx => (hx.2 hx.1).ne
#align measure_theory.lintegral_strict_mono_of_ae_le_of_ae_lt_on MeasureTheory.lintegral_strict_mono_of_ae_le_of_ae_lt_on
theorem lintegral_strict_mono {f g : α → ℝ≥0∞} (hμ : μ ≠ 0) (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h : ∀ᵐ x ∂μ, f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by
rw [Ne, ← Measure.measure_univ_eq_zero] at hμ
refine lintegral_strict_mono_of_ae_le_of_ae_lt_on hg hfi (ae_le_of_ae_lt h) hμ ?_
simpa using h
#align measure_theory.lintegral_strict_mono MeasureTheory.lintegral_strict_mono
theorem set_lintegral_strict_mono {f g : α → ℝ≥0∞} {s : Set α} (hsm : MeasurableSet s)
(hs : μ s ≠ 0) (hg : Measurable g) (hfi : ∫⁻ x in s, f x ∂μ ≠ ∞)
(h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x in s, f x ∂μ < ∫⁻ x in s, g x ∂μ :=
lintegral_strict_mono (by simp [hs]) hg.aemeasurable hfi ((ae_restrict_iff' hsm).mpr h)
#align measure_theory.set_lintegral_strict_mono MeasureTheory.set_lintegral_strict_mono
theorem lintegral_iInf_ae {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n))
(h_mono : ∀ n : ℕ, f n.succ ≤ᵐ[μ] f n) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) :
∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ :=
have fn_le_f0 : ∫⁻ a, ⨅ n, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ :=
lintegral_mono fun a => iInf_le_of_le 0 le_rfl
have fn_le_f0' : ⨅ n, ∫⁻ a, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ := iInf_le_of_le 0 le_rfl
(ENNReal.sub_right_inj h_fin fn_le_f0 fn_le_f0').1 <|
show ∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ from
calc
∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a - ⨅ n, f n a ∂μ :=
(lintegral_sub (measurable_iInf h_meas)
(ne_top_of_le_ne_top h_fin <| lintegral_mono fun a => iInf_le _ _)
(ae_of_all _ fun a => iInf_le _ _)).symm
_ = ∫⁻ a, ⨆ n, f 0 a - f n a ∂μ := congr rfl (funext fun a => ENNReal.sub_iInf)
_ = ⨆ n, ∫⁻ a, f 0 a - f n a ∂μ :=
(lintegral_iSup_ae (fun n => (h_meas 0).sub (h_meas n)) fun n =>
(h_mono n).mono fun a ha => tsub_le_tsub le_rfl ha)
_ = ⨆ n, ∫⁻ a, f 0 a ∂μ - ∫⁻ a, f n a ∂μ :=
(have h_mono : ∀ᵐ a ∂μ, ∀ n : ℕ, f n.succ a ≤ f n a := ae_all_iff.2 h_mono
have h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f 0 a := fun n =>
h_mono.mono fun a h => by
induction' n with n ih
· exact le_rfl
· exact le_trans (h n) ih
congr_arg iSup <|
funext fun n =>
lintegral_sub (h_meas _) (ne_top_of_le_ne_top h_fin <| lintegral_mono_ae <| h_mono n)
(h_mono n))
_ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ := ENNReal.sub_iInf.symm
#align measure_theory.lintegral_infi_ae MeasureTheory.lintegral_iInf_ae
theorem lintegral_iInf {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) (h_anti : Antitone f)
(h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) : ∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ :=
lintegral_iInf_ae h_meas (fun n => ae_of_all _ <| h_anti n.le_succ) h_fin
#align measure_theory.lintegral_infi MeasureTheory.lintegral_iInf
theorem lintegral_iInf' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ)
(h_anti : ∀ᵐ a ∂μ, Antitone (fun i ↦ f i a)) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) :
∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iInf_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Antitone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_anti
have h_ae_seq_mono : Antitone (aeSeq h_meas p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet h_meas p
· exact aeSeq.prop_of_mem_aeSeqSet h_meas hx hnm
· simp only [aeSeq, hx, if_false]
exact le_rfl
rw [lintegral_congr_ae (aeSeq.iInf h_meas hp).symm]
simp_rw [iInf_apply]
rw [lintegral_iInf (aeSeq.measurable h_meas p) h_ae_seq_mono]
· congr
exact funext fun n ↦ lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp n)
· rwa [lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp 0)]
theorem lintegral_iInf_directed_of_measurable {mα : MeasurableSpace α} [Countable β]
{f : β → α → ℝ≥0∞} {μ : Measure α} (hμ : μ ≠ 0) (hf : ∀ b, Measurable (f b))
(hf_int : ∀ b, ∫⁻ a, f b a ∂μ ≠ ∞) (h_directed : Directed (· ≥ ·) f) :
∫⁻ a, ⨅ b, f b a ∂μ = ⨅ b, ∫⁻ a, f b a ∂μ := by
cases nonempty_encodable β
cases isEmpty_or_nonempty β
· simp only [iInf_of_empty, lintegral_const,
ENNReal.top_mul (Measure.measure_univ_ne_zero.mpr hμ)]
inhabit β
have : ∀ a, ⨅ b, f b a = ⨅ n, f (h_directed.sequence f n) a := by
refine fun a =>
le_antisymm (le_iInf fun n => iInf_le _ _)
(le_iInf fun b => iInf_le_of_le (Encodable.encode b + 1) ?_)
exact h_directed.sequence_le b a
-- Porting note: used `∘` below to deal with its reduced reducibility
calc
∫⁻ a, ⨅ b, f b a ∂μ
_ = ∫⁻ a, ⨅ n, (f ∘ h_directed.sequence f) n a ∂μ := by simp only [this, Function.comp_apply]
_ = ⨅ n, ∫⁻ a, (f ∘ h_directed.sequence f) n a ∂μ := by
rw [lintegral_iInf ?_ h_directed.sequence_anti]
· exact hf_int _
· exact fun n => hf _
_ = ⨅ b, ∫⁻ a, f b a ∂μ := by
refine le_antisymm (le_iInf fun b => ?_) (le_iInf fun n => ?_)
· exact iInf_le_of_le (Encodable.encode b + 1) (lintegral_mono <| h_directed.sequence_le b)
· exact iInf_le (fun b => ∫⁻ a, f b a ∂μ) _
#align lintegral_infi_directed_of_measurable MeasureTheory.lintegral_iInf_directed_of_measurable
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 1,110 | 1,119 | theorem lintegral_liminf_le' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ) :
∫⁻ a, liminf (fun n => f n a) atTop ∂μ ≤ liminf (fun n => ∫⁻ a, f n a ∂μ) atTop :=
calc
∫⁻ a, liminf (fun n => f n a) atTop ∂μ = ∫⁻ a, ⨆ n : ℕ, ⨅ i ≥ n, f i a ∂μ := by |
simp only [liminf_eq_iSup_iInf_of_nat]
_ = ⨆ n : ℕ, ∫⁻ a, ⨅ i ≥ n, f i a ∂μ :=
(lintegral_iSup' (fun n => aemeasurable_biInf _ (to_countable _) (fun i _ ↦ h_meas i))
(ae_of_all μ fun a n m hnm => iInf_le_iInf_of_subset fun i hi => le_trans hnm hi))
_ ≤ ⨆ n : ℕ, ⨅ i ≥ n, ∫⁻ a, f i a ∂μ := iSup_mono fun n => le_iInf₂_lintegral _
_ = atTop.liminf fun n => ∫⁻ a, f n a ∂μ := Filter.liminf_eq_iSup_iInf_of_nat.symm
|
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 EuclideanGeometry
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)]
local notation "o" => Module.Oriented.positiveOrientation
theorem Cospherical.two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ : P}
(h : Cospherical ({p₁, p₂, p₃, p₄} : Set P)) (hp₂p₁ : p₂ ≠ p₁) (hp₂p₄ : p₂ ≠ p₄)
(hp₃p₁ : p₃ ≠ p₁) (hp₃p₄ : p₃ ≠ p₄) : (2 : ℤ) • ∡ p₁ p₂ p₄ = (2 : ℤ) • ∡ p₁ p₃ p₄ := by
obtain ⟨s, hs⟩ := cospherical_iff_exists_sphere.1 h
simp_rw [Set.insert_subset_iff, Set.singleton_subset_iff, Sphere.mem_coe] at hs
exact Sphere.two_zsmul_oangle_eq hs.1 hs.2.1 hs.2.2.1 hs.2.2.2 hp₂p₁ hp₂p₄ hp₃p₁ hp₃p₄
#align euclidean_geometry.cospherical.two_zsmul_oangle_eq EuclideanGeometry.Cospherical.two_zsmul_oangle_eq
namespace Sphere
| Mathlib/Geometry/Euclidean/Angle/Sphere.lean | 120 | 123 | theorem oangle_eq_pi_sub_two_zsmul_oangle_center_left {s : Sphere P} {p₁ p₂ : P} (hp₁ : p₁ ∈ s)
(hp₂ : p₂ ∈ s) (h : p₁ ≠ p₂) : ∡ p₁ s.center p₂ = π - (2 : ℤ) • ∡ s.center p₂ p₁ := by |
rw [oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq h.symm
(dist_center_eq_dist_center_of_mem_sphere' hp₂ hp₁)]
|
import Mathlib.Topology.Constructions
#align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
open Set Filter Function Topology Filter
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variable [TopologicalSpace α]
@[simp]
theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a :=
bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl
#align nhds_bind_nhds_within nhds_bind_nhdsWithin
@[simp]
theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x :=
Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x }
#align eventually_nhds_nhds_within eventually_nhds_nhdsWithin
theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x :=
eventually_inf_principal
#align eventually_nhds_within_iff eventually_nhdsWithin_iff
theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s :=
frequently_inf_principal.trans <| by simp only [and_comm]
#align frequently_nhds_within_iff frequently_nhdsWithin_iff
theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} :
z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by
simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff]
#align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within
@[simp]
theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by
refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩
simp only [eventually_nhdsWithin_iff] at h ⊢
exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs
#align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin
theorem nhdsWithin_eq (a : α) (s : Set α) :
𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) :=
((nhds_basis_opens a).inf_principal s).eq_biInf
#align nhds_within_eq nhdsWithin_eq
theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by
rw [nhdsWithin, principal_univ, inf_top_eq]
#align nhds_within_univ nhdsWithin_univ
theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s)
(t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t :=
h.inf_principal t
#align nhds_within_has_basis nhdsWithin_hasBasis
theorem nhdsWithin_basis_open (a : α) (t : Set α) :
(𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t :=
nhdsWithin_hasBasis (nhds_basis_opens a) t
#align nhds_within_basis_open nhdsWithin_basis_open
theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
#align mem_nhds_within mem_nhdsWithin
theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t :=
(nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff
#align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter
theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) :
s \ t ∈ 𝓝[tᶜ] x :=
diff_mem_inf_principal_compl hs t
#align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl
theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) :
s \ t' ∈ 𝓝[t \ t'] x := by
rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc]
exact inter_mem_inf hs (mem_principal_self _)
#align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff
theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) :
t ∈ 𝓝 a := by
rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩
exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw
#align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds
theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t :=
eventually_inf_principal
#align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually
theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by
simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and]
#align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq
theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t :=
set_eventuallyEq_iff_inf_principal.symm
#align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq
theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x :=
set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal
#align nhds_within_le_iff nhdsWithin_le_iff
-- Porting note: golfed, dropped an unneeded assumption
theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝[t] a := by
lift a to t using h
replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs
rwa [← map_nhds_subtype_val, mem_map]
#align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ
theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a :=
mem_inf_of_left h
#align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds
theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a :=
mem_inf_of_right (mem_principal_self s)
#align self_mem_nhds_within self_mem_nhdsWithin
theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s :=
self_mem_nhdsWithin
#align eventually_mem_nhds_within eventually_mem_nhdsWithin
theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a :=
inter_mem self_mem_nhdsWithin (mem_inf_of_left h)
#align inter_mem_nhds_within inter_mem_nhdsWithin
theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a :=
inf_le_inf_left _ (principal_mono.mpr h)
#align nhds_within_mono nhdsWithin_mono
theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a :=
le_inf (pure_le_nhds a) (le_principal_iff.2 ha)
#align pure_le_nhds_within pure_le_nhdsWithin
theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t :=
pure_le_nhdsWithin ha ht
#align mem_of_mem_nhds_within mem_of_mem_nhdsWithin
theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α}
(h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x :=
mem_of_mem_nhdsWithin hx h
#align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin
theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) :
Tendsto (fun _ : β => a) l (𝓝[s] a) :=
tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha
#align tendsto_const_nhds_within tendsto_const_nhdsWithin
theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) :
𝓝[s] a = 𝓝[s ∩ t] a :=
le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h)))
(inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left))
#align nhds_within_restrict'' nhdsWithin_restrict''
theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict'' s <| mem_inf_of_left h
#align nhds_within_restrict' nhdsWithin_restrict'
theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) :
𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀)
#align nhds_within_restrict nhdsWithin_restrict
theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a :=
nhdsWithin_le_iff.mpr h
#align nhds_within_le_of_mem nhdsWithin_le_of_mem
theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by
rw [← nhdsWithin_univ]
apply nhdsWithin_le_of_mem
exact univ_mem
#align nhds_within_le_nhds nhdsWithin_le_nhds
theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) :
𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂]
#align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin'
theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s)
(h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by
rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂]
#align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin
@[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a :=
inf_eq_left.trans le_principal_iff
#align nhds_within_eq_nhds nhdsWithin_eq_nhds
theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a :=
nhdsWithin_eq_nhds.2 <| h.mem_nhds ha
#align is_open.nhds_within_eq IsOpen.nhdsWithin_eq
theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(ht : IsOpen t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝 a := by
rw [← ht.nhdsWithin_eq h]
exact preimage_nhdsWithin_coinduced' h hs
#align preimage_nhds_within_coinduced preimage_nhds_within_coinduced
@[simp]
theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq]
#align nhds_within_empty nhdsWithin_empty
theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by
delta nhdsWithin
rw [← inf_sup_left, sup_principal]
#align nhds_within_union nhdsWithin_union
theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) :
𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a :=
Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by
simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert]
#align nhds_within_bUnion nhdsWithin_biUnion
theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) :
𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by
rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS]
#align nhds_within_sUnion nhdsWithin_sUnion
theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) :
𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by
rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range]
#align nhds_within_Union nhdsWithin_iUnion
theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by
delta nhdsWithin
rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem]
#align nhds_within_inter nhdsWithin_inter
theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by
delta nhdsWithin
rw [← inf_principal, inf_assoc]
#align nhds_within_inter' nhdsWithin_inter'
theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by
rw [nhdsWithin_inter, inf_eq_right]
exact nhdsWithin_le_of_mem h
#align nhds_within_inter_of_mem nhdsWithin_inter_of_mem
theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by
rw [inter_comm, nhdsWithin_inter_of_mem h]
#align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem'
@[simp]
theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by
rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)]
#align nhds_within_singleton nhdsWithin_singleton
@[simp]
theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by
rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton]
#align nhds_within_insert nhdsWithin_insert
theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by
simp
#align mem_nhds_within_insert mem_nhdsWithin_insert
theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) :
insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h]
#align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert
theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by
simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left,
insert_def]
#align insert_mem_nhds_iff insert_mem_nhds_iff
@[simp]
theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by
rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ]
#align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure
theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β]
{s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) :
u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by
rw [nhdsWithin_prod_eq]
exact prod_mem_prod hu hv
#align nhds_within_prod nhdsWithin_prod
theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ←
iInf_principal_finite hI, ← iInf_inf_eq]
#align nhds_within_pi_eq' nhdsWithin_pi_eq'
theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x =
(⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓
⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf,
comap_principal, eval]
rw [iInf_split _ fun i => i ∈ I, inf_right_comm]
simp only [iInf_inf_eq]
#align nhds_within_pi_eq nhdsWithin_pi_eq
theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)]
(s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by
simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x
#align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq
theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by
simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot]
#align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot
theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by
simp [neBot_iff, nhdsWithin_pi_eq_bot]
#align nhds_within_pi_ne_bot nhdsWithin_pi_neBot
theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)]
{a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l)
(h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by
apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter']
#align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin
theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α}
{s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l)
(h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) :
Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l :=
h₀.piecewise_nhdsWithin h₁
#align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin
theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) :
map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) :=
((nhdsWithin_basis_open a s).map f).eq_biInf
#align map_nhds_within map_nhdsWithin
theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t)
(h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left <| nhdsWithin_mono a hst
#align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left
theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t)
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) :=
h.mono_right (nhdsWithin_mono a hst)
#align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right
theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left inf_le_left
#align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds
theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by
simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff,
eventually_and] at h
exact (h univ ⟨mem_univ a, isOpen_univ⟩).2
#align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin
theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) :=
h.mono_right nhdsWithin_le_nhds
#align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin
theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) :=
mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx
#align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem
theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α}
(hx : NeBot <| 𝓝[s] x) : x ∈ s :=
hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx
#align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot
theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) :
NeBot (𝓝[range f] x) :=
mem_closure_iff_clusterPt.1 (h x)
#align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot
theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by
simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot]
#align mem_closure_pi mem_closure_pi
theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι)
(s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) :=
Set.ext fun _ => mem_closure_pi
#align closure_pi_set closure_pi_set
theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)}
(I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by
simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq,
pi_univ]
#align dense_pi dense_pi
theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} :
f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x :=
mem_inf_principal
#align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff
theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
mem_inf_of_right h
#align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn
theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
eventuallyEq_nhdsWithin_of_eqOn h
#align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin
theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β}
(hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l :=
(tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf
#align tendsto_nhds_within_congr tendsto_nhdsWithin_congr
theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) :
∀ᶠ x in 𝓝[s] a, p x :=
mem_inf_of_right h
#align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall
theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α}
(f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) :=
tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩
#align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within
theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} :
Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s :=
⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h =>
tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩
#align tendsto_nhds_within_iff tendsto_nhdsWithin_iff
@[simp]
theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} :
Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) :=
⟨fun h => h.mono_right inf_le_left, fun h =>
tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩
#align tendsto_nhds_within_range tendsto_nhdsWithin_range
theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g)
(hmem : a ∈ s) : f a = g a :=
h.self_of_nhdsWithin hmem
#align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin
theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α}
{a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x :=
mem_nhdsWithin_of_mem_nhds h
#align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds
theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} :
t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by
rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin]
#align mem_nhds_within_subtype mem_nhdsWithin_subtype
theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) :
𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) :=
Filter.ext fun _ => mem_nhdsWithin_subtype
#align nhds_within_subtype nhdsWithin_subtype
theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) :
𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) :=
(map_nhds_subtype_val ⟨a, h⟩).symm
#align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe
theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} :
t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by
rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective]
#align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin
| Mathlib/Topology/ContinuousOn.lean | 496 | 497 | theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by |
rw [← map_nhds_subtype_val, mem_map]
|
import Mathlib.Topology.ExtendFrom
import Mathlib.Topology.Order.DenselyOrdered
#align_import topology.algebra.order.extend_from from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
set_option autoImplicit true
open Filter Set TopologicalSpace
open scoped Classical
open Topology
theorem continuousOn_Icc_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α]
[OrderTopology α] [TopologicalSpace β] [RegularSpace β] {f : α → β} {a b : α} {la lb : β}
(hab : a ≠ b) (hf : ContinuousOn f (Ioo a b)) (ha : Tendsto f (𝓝[>] a) (𝓝 la))
(hb : Tendsto f (𝓝[<] b) (𝓝 lb)) : ContinuousOn (extendFrom (Ioo a b) f) (Icc a b) := by
apply continuousOn_extendFrom
· rw [closure_Ioo hab]
· intro x x_in
rcases eq_endpoints_or_mem_Ioo_of_mem_Icc x_in with (rfl | rfl | h)
· exact ⟨la, ha.mono_left <| nhdsWithin_mono _ Ioo_subset_Ioi_self⟩
· exact ⟨lb, hb.mono_left <| nhdsWithin_mono _ Ioo_subset_Iio_self⟩
· exact ⟨f x, hf x h⟩
#align continuous_on_Icc_extend_from_Ioo continuousOn_Icc_extendFrom_Ioo
theorem eq_lim_at_left_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α]
[OrderTopology α] [TopologicalSpace β] [T2Space β] {f : α → β} {a b : α} {la : β} (hab : a < b)
(ha : Tendsto f (𝓝[>] a) (𝓝 la)) : extendFrom (Ioo a b) f a = la := by
apply extendFrom_eq
· rw [closure_Ioo hab.ne]
simp only [le_of_lt hab, left_mem_Icc, right_mem_Icc]
· simpa [hab]
#align eq_lim_at_left_extend_from_Ioo eq_lim_at_left_extendFrom_Ioo
theorem eq_lim_at_right_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α]
[OrderTopology α] [TopologicalSpace β] [T2Space β] {f : α → β} {a b : α} {lb : β} (hab : a < b)
(hb : Tendsto f (𝓝[<] b) (𝓝 lb)) : extendFrom (Ioo a b) f b = lb := by
apply extendFrom_eq
· rw [closure_Ioo hab.ne]
simp only [le_of_lt hab, left_mem_Icc, right_mem_Icc]
· simpa [hab]
#align eq_lim_at_right_extend_from_Ioo eq_lim_at_right_extendFrom_Ioo
| Mathlib/Topology/Order/ExtendFrom.lean | 54 | 65 | theorem continuousOn_Ico_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α]
[OrderTopology α] [TopologicalSpace β] [RegularSpace β] {f : α → β} {a b : α} {la : β}
(hab : a < b) (hf : ContinuousOn f (Ioo a b)) (ha : Tendsto f (𝓝[>] a) (𝓝 la)) :
ContinuousOn (extendFrom (Ioo a b) f) (Ico a b) := by |
apply continuousOn_extendFrom
· rw [closure_Ioo hab.ne]
exact Ico_subset_Icc_self
· intro x x_in
rcases eq_left_or_mem_Ioo_of_mem_Ico x_in with (rfl | h)
· use la
simpa [hab]
· exact ⟨f x, hf x h⟩
|
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Data.SetLike.Fintype
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.GroupTheory.PGroup
import Mathlib.GroupTheory.NoncommPiCoprod
import Mathlib.Order.Atoms.Finite
import Mathlib.Data.Set.Lattice
#align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef"
open Fintype MulAction Subgroup
section InfiniteSylow
variable (p : ℕ) (G : Type*) [Group G]
structure Sylow extends Subgroup G where
isPGroup' : IsPGroup p toSubgroup
is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup
#align sylow Sylow
variable {p} {G}
open Equiv Equiv.Perm Finset Function List QuotientGroup
universe u v w
variable {G : Type u} {α : Type v} {β : Type w} [Group G]
attribute [local instance 10] Subtype.fintype setFintype Classical.propDecidable
theorem QuotientGroup.card_preimage_mk [Fintype G] (s : Subgroup G) (t : Set (G ⧸ s)) :
Fintype.card (QuotientGroup.mk ⁻¹' t) = Fintype.card s * Fintype.card t := by
rw [← Fintype.card_prod, Fintype.card_congr (preimageMkEquivSubgroupProdSet _ _)]
#align quotient_group.card_preimage_mk QuotientGroup.card_preimage_mk
namespace Sylow
theorem mem_fixedPoints_mul_left_cosets_iff_mem_normalizer {H : Subgroup G} [Finite (H : Set G)]
{x : G} : (x : G ⧸ H) ∈ MulAction.fixedPoints H (G ⧸ H) ↔ x ∈ normalizer H :=
⟨fun hx =>
have ha : ∀ {y : G ⧸ H}, y ∈ orbit H (x : G ⧸ H) → y = x := mem_fixedPoints'.1 hx _
(inv_mem_iff (G := G)).1
(mem_normalizer_fintype fun n (hn : n ∈ H) =>
have : (n⁻¹ * x)⁻¹ * x ∈ H := QuotientGroup.eq.1 (ha ⟨⟨n⁻¹, inv_mem hn⟩, rfl⟩)
show _ ∈ H by
rw [mul_inv_rev, inv_inv] at this
convert this
rw [inv_inv]),
fun hx : ∀ n : G, n ∈ H ↔ x * n * x⁻¹ ∈ H =>
mem_fixedPoints'.2 fun y =>
Quotient.inductionOn' y fun y hy =>
QuotientGroup.eq.2
(let ⟨⟨b, hb₁⟩, hb₂⟩ := hy
have hb₂ : (b * x)⁻¹ * y ∈ H := QuotientGroup.eq.1 hb₂
(inv_mem_iff (G := G)).1 <|
(hx _).2 <|
(mul_mem_cancel_left (inv_mem hb₁)).1 <| by
rw [hx] at hb₂; simpa [mul_inv_rev, mul_assoc] using hb₂)⟩
#align sylow.mem_fixed_points_mul_left_cosets_iff_mem_normalizer Sylow.mem_fixedPoints_mul_left_cosets_iff_mem_normalizer
def fixedPointsMulLeftCosetsEquivQuotient (H : Subgroup G) [Finite (H : Set G)] :
MulAction.fixedPoints H (G ⧸ H) ≃
normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H :=
@subtypeQuotientEquivQuotientSubtype G (normalizer H : Set G) (_) (_)
(MulAction.fixedPoints H (G ⧸ H))
(fun a => (@mem_fixedPoints_mul_left_cosets_iff_mem_normalizer _ _ _ ‹_› _).symm)
(by
intros
unfold_projs
rw [leftRel_apply (α := normalizer H), leftRel_apply]
rfl)
#align sylow.fixed_points_mul_left_cosets_equiv_quotient Sylow.fixedPointsMulLeftCosetsEquivQuotient
theorem card_quotient_normalizer_modEq_card_quotient [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime]
{H : Subgroup G} (hH : Fintype.card H = p ^ n) :
Fintype.card (normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H) ≡
card (G ⧸ H) [MOD p] := by
rw [← Fintype.card_congr (fixedPointsMulLeftCosetsEquivQuotient H)]
exact ((IsPGroup.of_card hH).card_modEq_card_fixedPoints _).symm
#align sylow.card_quotient_normalizer_modeq_card_quotient Sylow.card_quotient_normalizer_modEq_card_quotient
theorem card_normalizer_modEq_card [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime] {H : Subgroup G}
(hH : Fintype.card H = p ^ n) : card (normalizer H) ≡ card G [MOD p ^ (n + 1)] := by
have : H.subgroupOf (normalizer H) ≃ H := (subgroupOfEquivOfLe le_normalizer).toEquiv
simp only [← Nat.card_eq_fintype_card] at hH ⊢
rw [card_eq_card_quotient_mul_card_subgroup H,
card_eq_card_quotient_mul_card_subgroup (H.subgroupOf (normalizer H)), Nat.card_congr this,
hH, pow_succ']
simp only [Nat.card_eq_fintype_card] at hH ⊢
exact (card_quotient_normalizer_modEq_card_quotient hH).mul_right' _
#align sylow.card_normalizer_modeq_card Sylow.card_normalizer_modEq_card
theorem prime_dvd_card_quotient_normalizer [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime]
(hdvd : p ^ (n + 1) ∣ card G) {H : Subgroup G} (hH : Fintype.card H = p ^ n) :
p ∣ card (normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H) :=
let ⟨s, hs⟩ := exists_eq_mul_left_of_dvd hdvd
have hcard : card (G ⧸ H) = s * p :=
(mul_left_inj' (show card H ≠ 0 from Fintype.card_ne_zero)).1
(by
simp only [← Nat.card_eq_fintype_card] at hs hH ⊢
rw [← card_eq_card_quotient_mul_card_subgroup H, hH, hs, pow_succ', mul_assoc, mul_comm p])
have hm :
s * p % p =
card (normalizer H ⧸ Subgroup.comap ((normalizer H).subtype : normalizer H →* G) H) % p :=
hcard ▸ (card_quotient_normalizer_modEq_card_quotient hH).symm
Nat.dvd_of_mod_eq_zero (by rwa [Nat.mod_eq_zero_of_dvd (dvd_mul_left _ _), eq_comm] at hm)
#align sylow.prime_dvd_card_quotient_normalizer Sylow.prime_dvd_card_quotient_normalizer
theorem prime_pow_dvd_card_normalizer [Fintype G] {p : ℕ} {n : ℕ} [_hp : Fact p.Prime]
(hdvd : p ^ (n + 1) ∣ card G) {H : Subgroup G} (hH : Fintype.card H = p ^ n) :
p ^ (n + 1) ∣ card (normalizer H) :=
Nat.modEq_zero_iff_dvd.1 ((card_normalizer_modEq_card hH).trans hdvd.modEq_zero_nat)
#align sylow.prime_pow_dvd_card_normalizer Sylow.prime_pow_dvd_card_normalizer
theorem exists_subgroup_card_pow_succ [Fintype G] {p : ℕ} {n : ℕ} [hp : Fact p.Prime]
(hdvd : p ^ (n + 1) ∣ card G) {H : Subgroup G} (hH : Fintype.card H = p ^ n) :
∃ K : Subgroup G, Fintype.card K = p ^ (n + 1) ∧ H ≤ K :=
let ⟨s, hs⟩ := exists_eq_mul_left_of_dvd hdvd
have hcard : card (G ⧸ H) = s * p :=
(mul_left_inj' (show card H ≠ 0 from Fintype.card_ne_zero)).1
(by
simp only [← Nat.card_eq_fintype_card] at hs hH ⊢
rw [← card_eq_card_quotient_mul_card_subgroup H, hH, hs, pow_succ', mul_assoc, mul_comm p])
have hm : s * p % p = card (normalizer H ⧸ H.subgroupOf H.normalizer) % p :=
Fintype.card_congr (fixedPointsMulLeftCosetsEquivQuotient H) ▸
hcard ▸ (IsPGroup.of_card hH).card_modEq_card_fixedPoints _
have hm' : p ∣ card (normalizer H ⧸ H.subgroupOf H.normalizer) :=
Nat.dvd_of_mod_eq_zero (by rwa [Nat.mod_eq_zero_of_dvd (dvd_mul_left _ _), eq_comm] at hm)
let ⟨x, hx⟩ := @exists_prime_orderOf_dvd_card _ (QuotientGroup.Quotient.group _) _ _ hp hm'
have hequiv : H ≃ H.subgroupOf H.normalizer := (subgroupOfEquivOfLe le_normalizer).symm.toEquiv
⟨Subgroup.map (normalizer H).subtype
(Subgroup.comap (mk' (H.subgroupOf H.normalizer)) (zpowers x)), by
show Fintype.card (Subgroup.map H.normalizer.subtype
(comap (mk' (H.subgroupOf H.normalizer)) (Subgroup.zpowers x))) = p ^ (n + 1)
suffices Fintype.card (Subtype.val ''
(Subgroup.comap (mk' (H.subgroupOf H.normalizer)) (zpowers x) : Set H.normalizer)) =
p ^ (n + 1)
by convert this using 2
rw [Set.card_image_of_injective
(Subgroup.comap (mk' (H.subgroupOf H.normalizer)) (zpowers x) : Set H.normalizer)
Subtype.val_injective,
pow_succ, ← hH, Fintype.card_congr hequiv, ← hx, ← Fintype.card_zpowers, ←
Fintype.card_prod]
exact @Fintype.card_congr _ _ (_) (_)
(preimageMkEquivSubgroupProdSet (H.subgroupOf H.normalizer) (zpowers x)), by
intro y hy
simp only [exists_prop, Subgroup.coeSubtype, mk'_apply, Subgroup.mem_map, Subgroup.mem_comap]
refine ⟨⟨y, le_normalizer hy⟩, ⟨0, ?_⟩, rfl⟩
dsimp only
rw [zpow_zero, eq_comm, QuotientGroup.eq_one_iff]
simpa using hy⟩
#align sylow.exists_subgroup_card_pow_succ Sylow.exists_subgroup_card_pow_succ
theorem exists_subgroup_card_pow_prime_le [Fintype G] (p : ℕ) :
∀ {n m : ℕ} [_hp : Fact p.Prime] (_hdvd : p ^ m ∣ card G) (H : Subgroup G)
(_hH : card H = p ^ n) (_hnm : n ≤ m), ∃ K : Subgroup G, card K = p ^ m ∧ H ≤ K
| n, m => fun {hdvd H hH hnm} =>
(lt_or_eq_of_le hnm).elim
(fun hnm : n < m =>
have h0m : 0 < m := lt_of_le_of_lt n.zero_le hnm
have _wf : m - 1 < m := Nat.sub_lt h0m zero_lt_one
have hnm1 : n ≤ m - 1 := le_tsub_of_add_le_right hnm
let ⟨K, hK⟩ :=
@exists_subgroup_card_pow_prime_le _ _ n (m - 1) _
(Nat.pow_dvd_of_le_of_pow_dvd tsub_le_self hdvd) H hH hnm1
have hdvd' : p ^ (m - 1 + 1) ∣ card G := by rwa [tsub_add_cancel_of_le h0m.nat_succ_le]
let ⟨K', hK'⟩ := @exists_subgroup_card_pow_succ _ _ _ _ _ _ hdvd' K hK.1
⟨K', by rw [hK'.1, tsub_add_cancel_of_le h0m.nat_succ_le], le_trans hK.2 hK'.2⟩)
fun hnm : n = m => ⟨H, by simp [hH, hnm]⟩
#align sylow.exists_subgroup_card_pow_prime_le Sylow.exists_subgroup_card_pow_prime_le
theorem exists_subgroup_card_pow_prime [Fintype G] (p : ℕ) {n : ℕ} [Fact p.Prime]
(hdvd : p ^ n ∣ card G) : ∃ K : Subgroup G, Fintype.card K = p ^ n :=
let ⟨K, hK⟩ := exists_subgroup_card_pow_prime_le p hdvd ⊥
-- The @ is due to a Fintype ⊥ mismatch, but this will be fixed once we convert to Nat.card
(by rw [← @Nat.card_eq_fintype_card, card_bot, pow_zero]) n.zero_le
⟨K, hK.1⟩
#align sylow.exists_subgroup_card_pow_prime Sylow.exists_subgroup_card_pow_prime
lemma exists_subgroup_card_pow_prime_of_le_card {n p : ℕ} (hp : p.Prime) (h : IsPGroup p G)
(hn : p ^ n ≤ Nat.card G) : ∃ H : Subgroup G, Nat.card H = p ^ n := by
have : Fact p.Prime := ⟨hp⟩
have : Finite G := Nat.finite_of_card_ne_zero <| by linarith [Nat.one_le_pow n p hp.pos]
cases nonempty_fintype G
obtain ⟨m, hm⟩ := h.exists_card_eq
simp_rw [Nat.card_eq_fintype_card] at hm hn ⊢
refine exists_subgroup_card_pow_prime _ ?_
rw [hm] at hn ⊢
exact pow_dvd_pow _ <| (pow_le_pow_iff_right hp.one_lt).1 hn
lemma exists_subgroup_le_card_pow_prime_of_le_card {n p : ℕ} (hp : p.Prime) (h : IsPGroup p G)
{H : Subgroup G} (hn : p ^ n ≤ Nat.card H) : ∃ H' ≤ H, Nat.card H' = p ^ n := by
obtain ⟨H', H'card⟩ := exists_subgroup_card_pow_prime_of_le_card hp (h.to_subgroup H) hn
refine ⟨H'.map H.subtype, map_subtype_le _, ?_⟩
rw [← H'card]
let e : H' ≃* H'.map H.subtype := H'.equivMapOfInjective (Subgroup.subtype H) H.subtype_injective
exact Nat.card_congr e.symm.toEquiv
lemma exists_subgroup_le_card_le {k p : ℕ} (hp : p.Prime) (h : IsPGroup p G) {H : Subgroup G}
(hk : k ≤ Nat.card H) (hk₀ : k ≠ 0) : ∃ H' ≤ H, Nat.card H' ≤ k ∧ k < p * Nat.card H' := by
obtain ⟨m, hmk, hkm⟩ : ∃ s, p ^ s ≤ k ∧ k < p ^ (s + 1) :=
exists_nat_pow_near (Nat.one_le_iff_ne_zero.2 hk₀) hp.one_lt
obtain ⟨H', H'H, H'card⟩ := exists_subgroup_le_card_pow_prime_of_le_card hp h (hmk.trans hk)
refine ⟨H', H'H, ?_⟩
simpa only [pow_succ', H'card] using And.intro hmk hkm
theorem pow_dvd_card_of_pow_dvd_card [Fintype G] {p n : ℕ} [hp : Fact p.Prime] (P : Sylow p G)
(hdvd : p ^ n ∣ card G) : p ^ n ∣ card P :=
(hp.1.coprime_pow_of_not_dvd
(not_dvd_index_sylow P index_ne_zero_of_finite)).symm.dvd_of_dvd_mul_left
((index_mul_card P.1).symm ▸ hdvd)
#align sylow.pow_dvd_card_of_pow_dvd_card Sylow.pow_dvd_card_of_pow_dvd_card
| Mathlib/GroupTheory/Sylow.lean | 698 | 702 | theorem dvd_card_of_dvd_card [Fintype G] {p : ℕ} [Fact p.Prime] (P : Sylow p G)
(hdvd : p ∣ card G) : p ∣ card P := by |
rw [← pow_one p] at hdvd
have key := P.pow_dvd_card_of_pow_dvd_card hdvd
rwa [pow_one] at key
|
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]
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')
#align uniform_group_infi uniformGroup_iInf
#align uniform_add_group_infi uniformAddGroup_iInf
@[to_additive]
| Mathlib/Topology/Algebra/UniformGroup.lean | 229 | 233 | theorem uniformGroup_inf {u₁ u₂ : UniformSpace β} (h₁ : @UniformGroup β u₁ _)
(h₂ : @UniformGroup β u₂ _) : @UniformGroup β (u₁ ⊓ u₂) _ := by |
rw [inf_eq_iInf]
refine uniformGroup_iInf fun b => ?_
cases b <;> assumption
|
import Mathlib.Topology.Algebra.Ring.Basic
import Mathlib.Topology.Algebra.MulAction
import Mathlib.Topology.Algebra.UniformGroup
import Mathlib.Topology.ContinuousFunction.Basic
import Mathlib.Topology.UniformSpace.UniformEmbedding
import Mathlib.Algebra.Algebra.Defs
import Mathlib.LinearAlgebra.Projection
import Mathlib.LinearAlgebra.Pi
import Mathlib.LinearAlgebra.Finsupp
#align_import topology.algebra.module.basic from "leanprover-community/mathlib"@"6285167a053ad0990fc88e56c48ccd9fae6550eb"
open LinearMap (ker range)
open Topology Filter Pointwise
universe u v w u'
section
variable {R : Type*} {M : Type*} [Ring R] [TopologicalSpace R] [TopologicalSpace M]
[AddCommGroup M] [Module R M]
theorem ContinuousSMul.of_nhds_zero [TopologicalRing R] [TopologicalAddGroup M]
(hmul : Tendsto (fun p : R × M => p.1 • p.2) (𝓝 0 ×ˢ 𝓝 0) (𝓝 0))
(hmulleft : ∀ m : M, Tendsto (fun a : R => a • m) (𝓝 0) (𝓝 0))
(hmulright : ∀ a : R, Tendsto (fun m : M => a • m) (𝓝 0) (𝓝 0)) : ContinuousSMul R M where
continuous_smul := by
refine continuous_of_continuousAt_zero₂ (AddMonoidHom.smul : R →+ M →+ M) ?_ ?_ ?_ <;>
simpa [ContinuousAt, nhds_prod_eq]
#align has_continuous_smul.of_nhds_zero ContinuousSMul.of_nhds_zero
end
section
variable {R : Type*} {M : Type*} [Ring R] [TopologicalSpace R] [TopologicalSpace M]
[AddCommGroup M] [ContinuousAdd M] [Module R M] [ContinuousSMul R M]
theorem Submodule.eq_top_of_nonempty_interior' [NeBot (𝓝[{ x : R | IsUnit x }] 0)]
(s : Submodule R M) (hs : (interior (s : Set M)).Nonempty) : s = ⊤ := by
rcases hs with ⟨y, hy⟩
refine Submodule.eq_top_iff'.2 fun x => ?_
rw [mem_interior_iff_mem_nhds] at hy
have : Tendsto (fun c : R => y + c • x) (𝓝[{ x : R | IsUnit x }] 0) (𝓝 (y + (0 : R) • x)) :=
tendsto_const_nhds.add ((tendsto_nhdsWithin_of_tendsto_nhds tendsto_id).smul tendsto_const_nhds)
rw [zero_smul, add_zero] at this
obtain ⟨_, hu : y + _ • _ ∈ s, u, rfl⟩ :=
nonempty_of_mem (inter_mem (Filter.mem_map.1 (this hy)) self_mem_nhdsWithin)
have hy' : y ∈ ↑s := mem_of_mem_nhds hy
rwa [s.add_mem_iff_right hy', ← Units.smul_def, s.smul_mem_iff' u] at hu
#align submodule.eq_top_of_nonempty_interior' Submodule.eq_top_of_nonempty_interior'
variable (R M)
theorem Module.punctured_nhds_neBot [Nontrivial M] [NeBot (𝓝[≠] (0 : R))] [NoZeroSMulDivisors R M]
(x : M) : NeBot (𝓝[≠] x) := by
rcases exists_ne (0 : M) with ⟨y, hy⟩
suffices Tendsto (fun c : R => x + c • y) (𝓝[≠] 0) (𝓝[≠] x) from this.neBot
refine Tendsto.inf ?_ (tendsto_principal_principal.2 <| ?_)
· convert tendsto_const_nhds.add ((@tendsto_id R _).smul_const y)
rw [zero_smul, add_zero]
· intro c hc
simpa [hy] using hc
#align module.punctured_nhds_ne_bot Module.punctured_nhds_neBot
end
lemma TopologicalSpace.IsSeparable.span {R M : Type*} [AddCommMonoid M] [Semiring R] [Module R M]
[TopologicalSpace M] [TopologicalSpace R] [SeparableSpace R]
[ContinuousAdd M] [ContinuousSMul R M] {s : Set M} (hs : IsSeparable s) :
IsSeparable (Submodule.span R s : Set M) := by
rw [span_eq_iUnion_nat]
refine .iUnion fun n ↦ .image ?_ ?_
· have : IsSeparable {f : Fin n → R × M | ∀ (i : Fin n), f i ∈ Set.univ ×ˢ s} := by
apply isSeparable_pi (fun i ↦ .prod (.of_separableSpace Set.univ) hs)
rwa [Set.univ_prod] at this
· apply continuous_finset_sum _ (fun i _ ↦ ?_)
exact (continuous_fst.comp (continuous_apply i)).smul (continuous_snd.comp (continuous_apply i))
structure ContinuousLinearMap {R : Type*} {S : Type*} [Semiring R] [Semiring S] (σ : R →+* S)
(M : Type*) [TopologicalSpace M] [AddCommMonoid M] (M₂ : Type*) [TopologicalSpace M₂]
[AddCommMonoid M₂] [Module R M] [Module S M₂] extends M →ₛₗ[σ] M₂ where
cont : Continuous toFun := by continuity
#align continuous_linear_map ContinuousLinearMap
attribute [inherit_doc ContinuousLinearMap] ContinuousLinearMap.cont
@[inherit_doc]
notation:25 M " →SL[" σ "] " M₂ => ContinuousLinearMap σ M M₂
@[inherit_doc]
notation:25 M " →L[" R "] " M₂ => ContinuousLinearMap (RingHom.id R) M M₂
@[inherit_doc]
notation:25 M " →L⋆[" R "] " M₂ => ContinuousLinearMap (starRingEnd R) M M₂
class ContinuousSemilinearMapClass (F : Type*) {R S : outParam Type*} [Semiring R] [Semiring S]
(σ : outParam <| R →+* S) (M : outParam Type*) [TopologicalSpace M] [AddCommMonoid M]
(M₂ : outParam Type*) [TopologicalSpace M₂] [AddCommMonoid M₂] [Module R M]
[Module S M₂] [FunLike F M M₂]
extends SemilinearMapClass F σ M M₂, ContinuousMapClass F M M₂ : Prop
#align continuous_semilinear_map_class ContinuousSemilinearMapClass
-- `σ`, `R` and `S` become metavariables, but they are all outparams so it's OK
-- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet
-- attribute [nolint dangerous_instance] ContinuousSemilinearMapClass.toContinuousMapClass
abbrev ContinuousLinearMapClass (F : Type*) (R : outParam Type*) [Semiring R]
(M : outParam Type*) [TopologicalSpace M] [AddCommMonoid M] (M₂ : outParam Type*)
[TopologicalSpace M₂] [AddCommMonoid M₂] [Module R M] [Module R M₂] [FunLike F M M₂] :=
ContinuousSemilinearMapClass F (RingHom.id R) M M₂
#align continuous_linear_map_class ContinuousLinearMapClass
-- Porting note (#5171): linter not ported yet; was @[nolint has_nonempty_instance]
structure ContinuousLinearEquiv {R : Type*} {S : Type*} [Semiring R] [Semiring S] (σ : R →+* S)
{σ' : S →+* R} [RingHomInvPair σ σ'] [RingHomInvPair σ' σ] (M : Type*) [TopologicalSpace M]
[AddCommMonoid M] (M₂ : Type*) [TopologicalSpace M₂] [AddCommMonoid M₂] [Module R M]
[Module S M₂] extends M ≃ₛₗ[σ] M₂ where
continuous_toFun : Continuous toFun := by continuity
continuous_invFun : Continuous invFun := by continuity
#align continuous_linear_equiv ContinuousLinearEquiv
attribute [inherit_doc ContinuousLinearEquiv] ContinuousLinearEquiv.continuous_toFun
ContinuousLinearEquiv.continuous_invFun
@[inherit_doc]
notation:50 M " ≃SL[" σ "] " M₂ => ContinuousLinearEquiv σ M M₂
@[inherit_doc]
notation:50 M " ≃L[" R "] " M₂ => ContinuousLinearEquiv (RingHom.id R) M M₂
@[inherit_doc]
notation:50 M " ≃L⋆[" R "] " M₂ => ContinuousLinearEquiv (starRingEnd R) M M₂
class ContinuousSemilinearEquivClass (F : Type*) {R : outParam Type*} {S : outParam Type*}
[Semiring R] [Semiring S] (σ : outParam <| R →+* S) {σ' : outParam <| S →+* R}
[RingHomInvPair σ σ'] [RingHomInvPair σ' σ] (M : outParam Type*) [TopologicalSpace M]
[AddCommMonoid M] (M₂ : outParam Type*) [TopologicalSpace M₂] [AddCommMonoid M₂] [Module R M]
[Module S M₂] [EquivLike F M M₂] extends SemilinearEquivClass F σ M M₂ : Prop where
map_continuous : ∀ f : F, Continuous f := by continuity
inv_continuous : ∀ f : F, Continuous (EquivLike.inv f) := by continuity
#align continuous_semilinear_equiv_class ContinuousSemilinearEquivClass
attribute [inherit_doc ContinuousSemilinearEquivClass]
ContinuousSemilinearEquivClass.map_continuous
ContinuousSemilinearEquivClass.inv_continuous
abbrev ContinuousLinearEquivClass (F : Type*) (R : outParam Type*) [Semiring R]
(M : outParam Type*) [TopologicalSpace M] [AddCommMonoid M] (M₂ : outParam Type*)
[TopologicalSpace M₂] [AddCommMonoid M₂] [Module R M] [Module R M₂] [EquivLike F M M₂] :=
ContinuousSemilinearEquivClass F (RingHom.id R) M M₂
#align continuous_linear_equiv_class ContinuousLinearEquivClass
namespace ContinuousLinearMap
section Semiring
variable {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} [Semiring R₁] [Semiring R₂] [Semiring R₃]
{σ₁₂ : R₁ →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R₁ →+* R₃} {M₁ : Type*} [TopologicalSpace M₁]
[AddCommMonoid M₁] {M'₁ : Type*} [TopologicalSpace M'₁] [AddCommMonoid M'₁] {M₂ : Type*}
[TopologicalSpace M₂] [AddCommMonoid M₂] {M₃ : Type*} [TopologicalSpace M₃] [AddCommMonoid M₃]
{M₄ : Type*} [TopologicalSpace M₄] [AddCommMonoid M₄] [Module R₁ M₁] [Module R₁ M'₁]
[Module R₂ M₂] [Module R₃ M₃]
attribute [coe] ContinuousLinearMap.toLinearMap
instance LinearMap.coe : Coe (M₁ →SL[σ₁₂] M₂) (M₁ →ₛₗ[σ₁₂] M₂) := ⟨toLinearMap⟩
#align continuous_linear_map.linear_map.has_coe ContinuousLinearMap.LinearMap.coe
#noalign continuous_linear_map.to_linear_map_eq_coe
theorem coe_injective : Function.Injective ((↑) : (M₁ →SL[σ₁₂] M₂) → M₁ →ₛₗ[σ₁₂] M₂) := by
intro f g H
cases f
cases g
congr
#align continuous_linear_map.coe_injective ContinuousLinearMap.coe_injective
instance funLike : FunLike (M₁ →SL[σ₁₂] M₂) M₁ M₂ where
coe f := f.toLinearMap
coe_injective' _ _ h := coe_injective (DFunLike.coe_injective h)
instance continuousSemilinearMapClass :
ContinuousSemilinearMapClass (M₁ →SL[σ₁₂] M₂) σ₁₂ M₁ M₂ where
map_add f := map_add f.toLinearMap
map_continuous f := f.2
map_smulₛₗ f := f.toLinearMap.map_smul'
#align continuous_linear_map.continuous_semilinear_map_class ContinuousLinearMap.continuousSemilinearMapClass
-- see Note [function coercion]
--instance toFun' : CoeFun (M₁ →SL[σ₁₂] M₂) fun _ => M₁ → M₂ := ⟨DFunLike.coe⟩
-- porting note (#10618): was `simp`, now `simp only` proves it
theorem coe_mk (f : M₁ →ₛₗ[σ₁₂] M₂) (h) : (mk f h : M₁ →ₛₗ[σ₁₂] M₂) = f :=
rfl
#align continuous_linear_map.coe_mk ContinuousLinearMap.coe_mk
@[simp]
theorem coe_mk' (f : M₁ →ₛₗ[σ₁₂] M₂) (h) : (mk f h : M₁ → M₂) = f :=
rfl
#align continuous_linear_map.coe_mk' ContinuousLinearMap.coe_mk'
@[continuity]
protected theorem continuous (f : M₁ →SL[σ₁₂] M₂) : Continuous f :=
f.2
#align continuous_linear_map.continuous ContinuousLinearMap.continuous
protected theorem uniformContinuous {E₁ E₂ : Type*} [UniformSpace E₁] [UniformSpace E₂]
[AddCommGroup E₁] [AddCommGroup E₂] [Module R₁ E₁] [Module R₂ E₂] [UniformAddGroup E₁]
[UniformAddGroup E₂] (f : E₁ →SL[σ₁₂] E₂) : UniformContinuous f :=
uniformContinuous_addMonoidHom_of_continuous f.continuous
#align continuous_linear_map.uniform_continuous ContinuousLinearMap.uniformContinuous
@[simp, norm_cast]
theorem coe_inj {f g : M₁ →SL[σ₁₂] M₂} : (f : M₁ →ₛₗ[σ₁₂] M₂) = g ↔ f = g :=
coe_injective.eq_iff
#align continuous_linear_map.coe_inj ContinuousLinearMap.coe_inj
theorem coeFn_injective : @Function.Injective (M₁ →SL[σ₁₂] M₂) (M₁ → M₂) (↑) :=
DFunLike.coe_injective
#align continuous_linear_map.coe_fn_injective ContinuousLinearMap.coeFn_injective
def Simps.apply (h : M₁ →SL[σ₁₂] M₂) : M₁ → M₂ :=
h
#align continuous_linear_map.simps.apply ContinuousLinearMap.Simps.apply
def Simps.coe (h : M₁ →SL[σ₁₂] M₂) : M₁ →ₛₗ[σ₁₂] M₂ :=
h
#align continuous_linear_map.simps.coe ContinuousLinearMap.Simps.coe
initialize_simps_projections ContinuousLinearMap (toLinearMap_toFun → apply, toLinearMap → coe)
@[ext]
theorem ext {f g : M₁ →SL[σ₁₂] M₂} (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
#align continuous_linear_map.ext ContinuousLinearMap.ext
theorem ext_iff {f g : M₁ →SL[σ₁₂] M₂} : f = g ↔ ∀ x, f x = g x :=
DFunLike.ext_iff
#align continuous_linear_map.ext_iff ContinuousLinearMap.ext_iff
protected def copy (f : M₁ →SL[σ₁₂] M₂) (f' : M₁ → M₂) (h : f' = ⇑f) : M₁ →SL[σ₁₂] M₂ where
toLinearMap := f.toLinearMap.copy f' h
cont := show Continuous f' from h.symm ▸ f.continuous
#align continuous_linear_map.copy ContinuousLinearMap.copy
@[simp]
theorem coe_copy (f : M₁ →SL[σ₁₂] M₂) (f' : M₁ → M₂) (h : f' = ⇑f) : ⇑(f.copy f' h) = f' :=
rfl
#align continuous_linear_map.coe_copy ContinuousLinearMap.coe_copy
theorem copy_eq (f : M₁ →SL[σ₁₂] M₂) (f' : M₁ → M₂) (h : f' = ⇑f) : f.copy f' h = f :=
DFunLike.ext' h
#align continuous_linear_map.copy_eq ContinuousLinearMap.copy_eq
-- make some straightforward lemmas available to `simp`.
protected theorem map_zero (f : M₁ →SL[σ₁₂] M₂) : f (0 : M₁) = 0 :=
map_zero f
#align continuous_linear_map.map_zero ContinuousLinearMap.map_zero
protected theorem map_add (f : M₁ →SL[σ₁₂] M₂) (x y : M₁) : f (x + y) = f x + f y :=
map_add f x y
#align continuous_linear_map.map_add ContinuousLinearMap.map_add
-- @[simp] -- Porting note (#10618): simp can prove this
protected theorem map_smulₛₗ (f : M₁ →SL[σ₁₂] M₂) (c : R₁) (x : M₁) : f (c • x) = σ₁₂ c • f x :=
(toLinearMap _).map_smulₛₗ _ _
#align continuous_linear_map.map_smulₛₗ ContinuousLinearMap.map_smulₛₗ
-- @[simp] -- Porting note (#10618): simp can prove this
protected theorem map_smul [Module R₁ M₂] (f : M₁ →L[R₁] M₂) (c : R₁) (x : M₁) :
f (c • x) = c • f x := by simp only [RingHom.id_apply, ContinuousLinearMap.map_smulₛₗ]
#align continuous_linear_map.map_smul ContinuousLinearMap.map_smul
@[simp]
theorem map_smul_of_tower {R S : Type*} [Semiring S] [SMul R M₁] [Module S M₁] [SMul R M₂]
[Module S M₂] [LinearMap.CompatibleSMul M₁ M₂ R S] (f : M₁ →L[S] M₂) (c : R) (x : M₁) :
f (c • x) = c • f x :=
LinearMap.CompatibleSMul.map_smul (f : M₁ →ₗ[S] M₂) c x
#align continuous_linear_map.map_smul_of_tower ContinuousLinearMap.map_smul_of_tower
@[deprecated _root_.map_sum]
protected theorem map_sum {ι : Type*} (f : M₁ →SL[σ₁₂] M₂) (s : Finset ι) (g : ι → M₁) :
f (∑ i ∈ s, g i) = ∑ i ∈ s, f (g i) :=
map_sum ..
#align continuous_linear_map.map_sum ContinuousLinearMap.map_sum
@[simp, norm_cast]
theorem coe_coe (f : M₁ →SL[σ₁₂] M₂) : ⇑(f : M₁ →ₛₗ[σ₁₂] M₂) = f :=
rfl
#align continuous_linear_map.coe_coe ContinuousLinearMap.coe_coe
@[ext]
theorem ext_ring [TopologicalSpace R₁] {f g : R₁ →L[R₁] M₁} (h : f 1 = g 1) : f = g :=
coe_inj.1 <| LinearMap.ext_ring h
#align continuous_linear_map.ext_ring ContinuousLinearMap.ext_ring
theorem ext_ring_iff [TopologicalSpace R₁] {f g : R₁ →L[R₁] M₁} : f = g ↔ f 1 = g 1 :=
⟨fun h => h ▸ rfl, ext_ring⟩
#align continuous_linear_map.ext_ring_iff ContinuousLinearMap.ext_ring_iff
theorem eqOn_closure_span [T2Space M₂] {s : Set M₁} {f g : M₁ →SL[σ₁₂] M₂} (h : Set.EqOn f g s) :
Set.EqOn f g (closure (Submodule.span R₁ s : Set M₁)) :=
(LinearMap.eqOn_span' h).closure f.continuous g.continuous
#align continuous_linear_map.eq_on_closure_span ContinuousLinearMap.eqOn_closure_span
theorem ext_on [T2Space M₂] {s : Set M₁} (hs : Dense (Submodule.span R₁ s : Set M₁))
{f g : M₁ →SL[σ₁₂] M₂} (h : Set.EqOn f g s) : f = g :=
ext fun x => eqOn_closure_span h (hs x)
#align continuous_linear_map.ext_on ContinuousLinearMap.ext_on
theorem _root_.Submodule.topologicalClosure_map [RingHomSurjective σ₁₂] [TopologicalSpace R₁]
[TopologicalSpace R₂] [ContinuousSMul R₁ M₁] [ContinuousAdd M₁] [ContinuousSMul R₂ M₂]
[ContinuousAdd M₂] (f : M₁ →SL[σ₁₂] M₂) (s : Submodule R₁ M₁) :
s.topologicalClosure.map (f : M₁ →ₛₗ[σ₁₂] M₂) ≤
(s.map (f : M₁ →ₛₗ[σ₁₂] M₂)).topologicalClosure :=
image_closure_subset_closure_image f.continuous
#align submodule.topological_closure_map Submodule.topologicalClosure_map
theorem _root_.DenseRange.topologicalClosure_map_submodule [RingHomSurjective σ₁₂]
[TopologicalSpace R₁] [TopologicalSpace R₂] [ContinuousSMul R₁ M₁] [ContinuousAdd M₁]
[ContinuousSMul R₂ M₂] [ContinuousAdd M₂] {f : M₁ →SL[σ₁₂] M₂} (hf' : DenseRange f)
{s : Submodule R₁ M₁} (hs : s.topologicalClosure = ⊤) :
(s.map (f : M₁ →ₛₗ[σ₁₂] M₂)).topologicalClosure = ⊤ := by
rw [SetLike.ext'_iff] at hs ⊢
simp only [Submodule.topologicalClosure_coe, Submodule.top_coe, ← dense_iff_closure_eq] at hs ⊢
exact hf'.dense_image f.continuous hs
#align dense_range.topological_closure_map_submodule DenseRange.topologicalClosure_map_submodule
instance zero : Zero (M₁ →SL[σ₁₂] M₂) :=
⟨⟨0, continuous_zero⟩⟩
#align continuous_linear_map.has_zero ContinuousLinearMap.zero
instance inhabited : Inhabited (M₁ →SL[σ₁₂] M₂) :=
⟨0⟩
#align continuous_linear_map.inhabited ContinuousLinearMap.inhabited
@[simp]
theorem default_def : (default : M₁ →SL[σ₁₂] M₂) = 0 :=
rfl
#align continuous_linear_map.default_def ContinuousLinearMap.default_def
@[simp]
theorem zero_apply (x : M₁) : (0 : M₁ →SL[σ₁₂] M₂) x = 0 :=
rfl
#align continuous_linear_map.zero_apply ContinuousLinearMap.zero_apply
@[simp, norm_cast]
theorem coe_zero : ((0 : M₁ →SL[σ₁₂] M₂) : M₁ →ₛₗ[σ₁₂] M₂) = 0 :=
rfl
#align continuous_linear_map.coe_zero ContinuousLinearMap.coe_zero
@[norm_cast]
theorem coe_zero' : ⇑(0 : M₁ →SL[σ₁₂] M₂) = 0 :=
rfl
#align continuous_linear_map.coe_zero' ContinuousLinearMap.coe_zero'
instance uniqueOfLeft [Subsingleton M₁] : Unique (M₁ →SL[σ₁₂] M₂) :=
coe_injective.unique
#align continuous_linear_map.unique_of_left ContinuousLinearMap.uniqueOfLeft
instance uniqueOfRight [Subsingleton M₂] : Unique (M₁ →SL[σ₁₂] M₂) :=
coe_injective.unique
#align continuous_linear_map.unique_of_right ContinuousLinearMap.uniqueOfRight
theorem exists_ne_zero {f : M₁ →SL[σ₁₂] M₂} (hf : f ≠ 0) : ∃ x, f x ≠ 0 := by
by_contra! h
exact hf (ContinuousLinearMap.ext h)
#align continuous_linear_map.exists_ne_zero ContinuousLinearMap.exists_ne_zero
section
variable (R₁ M₁)
def id : M₁ →L[R₁] M₁ :=
⟨LinearMap.id, continuous_id⟩
#align continuous_linear_map.id ContinuousLinearMap.id
end
instance one : One (M₁ →L[R₁] M₁) :=
⟨id R₁ M₁⟩
#align continuous_linear_map.has_one ContinuousLinearMap.one
theorem one_def : (1 : M₁ →L[R₁] M₁) = id R₁ M₁ :=
rfl
#align continuous_linear_map.one_def ContinuousLinearMap.one_def
theorem id_apply (x : M₁) : id R₁ M₁ x = x :=
rfl
#align continuous_linear_map.id_apply ContinuousLinearMap.id_apply
@[simp, norm_cast]
theorem coe_id : (id R₁ M₁ : M₁ →ₗ[R₁] M₁) = LinearMap.id :=
rfl
#align continuous_linear_map.coe_id ContinuousLinearMap.coe_id
@[simp, norm_cast]
theorem coe_id' : ⇑(id R₁ M₁) = _root_.id :=
rfl
#align continuous_linear_map.coe_id' ContinuousLinearMap.coe_id'
@[simp, norm_cast]
theorem coe_eq_id {f : M₁ →L[R₁] M₁} : (f : M₁ →ₗ[R₁] M₁) = LinearMap.id ↔ f = id _ _ := by
rw [← coe_id, coe_inj]
#align continuous_linear_map.coe_eq_id ContinuousLinearMap.coe_eq_id
@[simp]
theorem one_apply (x : M₁) : (1 : M₁ →L[R₁] M₁) x = x :=
rfl
#align continuous_linear_map.one_apply ContinuousLinearMap.one_apply
instance [Nontrivial M₁] : Nontrivial (M₁ →L[R₁] M₁) :=
⟨0, 1, fun e ↦
have ⟨x, hx⟩ := exists_ne (0 : M₁); hx (by simpa using DFunLike.congr_fun e.symm x)⟩
variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃]
def comp (g : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) : M₁ →SL[σ₁₃] M₃ :=
⟨(g : M₂ →ₛₗ[σ₂₃] M₃).comp (f : M₁ →ₛₗ[σ₁₂] M₂), g.2.comp f.2⟩
#align continuous_linear_map.comp ContinuousLinearMap.comp
@[inherit_doc comp]
infixr:80 " ∘L " =>
@ContinuousLinearMap.comp _ _ _ _ _ _ (RingHom.id _) (RingHom.id _) (RingHom.id _) _ _ _ _ _ _ _ _
_ _ _ _ RingHomCompTriple.ids
@[simp, norm_cast]
theorem coe_comp (h : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) :
(h.comp f : M₁ →ₛₗ[σ₁₃] M₃) = (h : M₂ →ₛₗ[σ₂₃] M₃).comp (f : M₁ →ₛₗ[σ₁₂] M₂) :=
rfl
#align continuous_linear_map.coe_comp ContinuousLinearMap.coe_comp
@[simp, norm_cast]
theorem coe_comp' (h : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) : ⇑(h.comp f) = h ∘ f :=
rfl
#align continuous_linear_map.coe_comp' ContinuousLinearMap.coe_comp'
theorem comp_apply (g : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) (x : M₁) : (g.comp f) x = g (f x) :=
rfl
#align continuous_linear_map.comp_apply ContinuousLinearMap.comp_apply
@[simp]
theorem comp_id (f : M₁ →SL[σ₁₂] M₂) : f.comp (id R₁ M₁) = f :=
ext fun _x => rfl
#align continuous_linear_map.comp_id ContinuousLinearMap.comp_id
@[simp]
theorem id_comp (f : M₁ →SL[σ₁₂] M₂) : (id R₂ M₂).comp f = f :=
ext fun _x => rfl
#align continuous_linear_map.id_comp ContinuousLinearMap.id_comp
@[simp]
theorem comp_zero (g : M₂ →SL[σ₂₃] M₃) : g.comp (0 : M₁ →SL[σ₁₂] M₂) = 0 := by
ext
simp
#align continuous_linear_map.comp_zero ContinuousLinearMap.comp_zero
@[simp]
theorem zero_comp (f : M₁ →SL[σ₁₂] M₂) : (0 : M₂ →SL[σ₂₃] M₃).comp f = 0 := by
ext
simp
#align continuous_linear_map.zero_comp ContinuousLinearMap.zero_comp
@[simp]
theorem comp_add [ContinuousAdd M₂] [ContinuousAdd M₃] (g : M₂ →SL[σ₂₃] M₃)
(f₁ f₂ : M₁ →SL[σ₁₂] M₂) : g.comp (f₁ + f₂) = g.comp f₁ + g.comp f₂ := by
ext
simp
#align continuous_linear_map.comp_add ContinuousLinearMap.comp_add
@[simp]
theorem add_comp [ContinuousAdd M₃] (g₁ g₂ : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) :
(g₁ + g₂).comp f = g₁.comp f + g₂.comp f := by
ext
simp
#align continuous_linear_map.add_comp ContinuousLinearMap.add_comp
theorem comp_assoc {R₄ : Type*} [Semiring R₄] [Module R₄ M₄] {σ₁₄ : R₁ →+* R₄} {σ₂₄ : R₂ →+* R₄}
{σ₃₄ : R₃ →+* R₄} [RingHomCompTriple σ₁₃ σ₃₄ σ₁₄] [RingHomCompTriple σ₂₃ σ₃₄ σ₂₄]
[RingHomCompTriple σ₁₂ σ₂₄ σ₁₄] (h : M₃ →SL[σ₃₄] M₄) (g : M₂ →SL[σ₂₃] M₃) (f : M₁ →SL[σ₁₂] M₂) :
(h.comp g).comp f = h.comp (g.comp f) :=
rfl
#align continuous_linear_map.comp_assoc ContinuousLinearMap.comp_assoc
instance instMul : Mul (M₁ →L[R₁] M₁) :=
⟨comp⟩
#align continuous_linear_map.has_mul ContinuousLinearMap.instMul
theorem mul_def (f g : M₁ →L[R₁] M₁) : f * g = f.comp g :=
rfl
#align continuous_linear_map.mul_def ContinuousLinearMap.mul_def
@[simp]
theorem coe_mul (f g : M₁ →L[R₁] M₁) : ⇑(f * g) = f ∘ g :=
rfl
#align continuous_linear_map.coe_mul ContinuousLinearMap.coe_mul
theorem mul_apply (f g : M₁ →L[R₁] M₁) (x : M₁) : (f * g) x = f (g x) :=
rfl
#align continuous_linear_map.mul_apply ContinuousLinearMap.mul_apply
instance monoidWithZero : MonoidWithZero (M₁ →L[R₁] M₁) where
mul_zero f := ext fun _ => map_zero f
zero_mul _ := ext fun _ => rfl
mul_one _ := ext fun _ => rfl
one_mul _ := ext fun _ => rfl
mul_assoc _ _ _ := ext fun _ => rfl
#align continuous_linear_map.monoid_with_zero ContinuousLinearMap.monoidWithZero
theorem coe_pow (f : M₁ →L[R₁] M₁) (n : ℕ) : ⇑(f ^ n) = f^[n] :=
hom_coe_pow _ rfl (fun _ _ ↦ rfl) _ _
instance instNatCast [ContinuousAdd M₁] : NatCast (M₁ →L[R₁] M₁) where
natCast n := n • (1 : M₁ →L[R₁] M₁)
instance semiring [ContinuousAdd M₁] : Semiring (M₁ →L[R₁] M₁) where
__ := ContinuousLinearMap.monoidWithZero
__ := ContinuousLinearMap.addCommMonoid
left_distrib f g h := ext fun x => map_add f (g x) (h x)
right_distrib _ _ _ := ext fun _ => LinearMap.add_apply _ _ _
toNatCast := instNatCast
natCast_zero := zero_smul ℕ (1 : M₁ →L[R₁] M₁)
natCast_succ n := AddMonoid.nsmul_succ n (1 : M₁ →L[R₁] M₁)
#align continuous_linear_map.semiring ContinuousLinearMap.semiring
@[simps]
def toLinearMapRingHom [ContinuousAdd M₁] : (M₁ →L[R₁] M₁) →+* M₁ →ₗ[R₁] M₁ where
toFun := toLinearMap
map_zero' := rfl
map_one' := rfl
map_add' _ _ := rfl
map_mul' _ _ := rfl
#align continuous_linear_map.to_linear_map_ring_hom ContinuousLinearMap.toLinearMapRingHom
#align continuous_linear_map.to_linear_map_ring_hom_apply ContinuousLinearMap.toLinearMapRingHom_apply
@[simp]
theorem natCast_apply [ContinuousAdd M₁] (n : ℕ) (m : M₁) : (↑n : M₁ →L[R₁] M₁) m = n • m :=
rfl
@[simp]
theorem ofNat_apply [ContinuousAdd M₁] (n : ℕ) [n.AtLeastTwo] (m : M₁) :
((no_index (OfNat.ofNat n) : M₁ →L[R₁] M₁)) m = OfNat.ofNat n • m :=
rfl
protected def prod [Module R₁ M₂] [Module R₁ M₃] (f₁ : M₁ →L[R₁] M₂) (f₂ : M₁ →L[R₁] M₃) :
M₁ →L[R₁] M₂ × M₃ :=
⟨(f₁ : M₁ →ₗ[R₁] M₂).prod f₂, f₁.2.prod_mk f₂.2⟩
#align continuous_linear_map.prod ContinuousLinearMap.prod
@[simp, norm_cast]
theorem coe_prod [Module R₁ M₂] [Module R₁ M₃] (f₁ : M₁ →L[R₁] M₂) (f₂ : M₁ →L[R₁] M₃) :
(f₁.prod f₂ : M₁ →ₗ[R₁] M₂ × M₃) = LinearMap.prod f₁ f₂ :=
rfl
#align continuous_linear_map.coe_prod ContinuousLinearMap.coe_prod
@[simp, norm_cast]
theorem prod_apply [Module R₁ M₂] [Module R₁ M₃] (f₁ : M₁ →L[R₁] M₂) (f₂ : M₁ →L[R₁] M₃) (x : M₁) :
f₁.prod f₂ x = (f₁ x, f₂ x) :=
rfl
#align continuous_linear_map.prod_apply ContinuousLinearMap.prod_apply
section
variable (R₁ M₁ M₂)
def inl [Module R₁ M₂] : M₁ →L[R₁] M₁ × M₂ :=
(id R₁ M₁).prod 0
#align continuous_linear_map.inl ContinuousLinearMap.inl
def inr [Module R₁ M₂] : M₂ →L[R₁] M₁ × M₂ :=
(0 : M₂ →L[R₁] M₁).prod (id R₁ M₂)
#align continuous_linear_map.inr ContinuousLinearMap.inr
end
variable {F : Type*}
@[simp]
theorem inl_apply [Module R₁ M₂] (x : M₁) : inl R₁ M₁ M₂ x = (x, 0) :=
rfl
#align continuous_linear_map.inl_apply ContinuousLinearMap.inl_apply
@[simp]
theorem inr_apply [Module R₁ M₂] (x : M₂) : inr R₁ M₁ M₂ x = (0, x) :=
rfl
#align continuous_linear_map.inr_apply ContinuousLinearMap.inr_apply
@[simp, norm_cast]
theorem coe_inl [Module R₁ M₂] : (inl R₁ M₁ M₂ : M₁ →ₗ[R₁] M₁ × M₂) = LinearMap.inl R₁ M₁ M₂ :=
rfl
#align continuous_linear_map.coe_inl ContinuousLinearMap.coe_inl
@[simp, norm_cast]
theorem coe_inr [Module R₁ M₂] : (inr R₁ M₁ M₂ : M₂ →ₗ[R₁] M₁ × M₂) = LinearMap.inr R₁ M₁ M₂ :=
rfl
#align continuous_linear_map.coe_inr ContinuousLinearMap.coe_inr
theorem isClosed_ker [T1Space M₂] [FunLike F M₁ M₂] [ContinuousSemilinearMapClass F σ₁₂ M₁ M₂]
(f : F) :
IsClosed (ker f : Set M₁) :=
continuous_iff_isClosed.1 (map_continuous f) _ isClosed_singleton
#align continuous_linear_map.is_closed_ker ContinuousLinearMap.isClosed_ker
theorem isComplete_ker {M' : Type*} [UniformSpace M'] [CompleteSpace M'] [AddCommMonoid M']
[Module R₁ M'] [T1Space M₂] [FunLike F M' M₂] [ContinuousSemilinearMapClass F σ₁₂ M' M₂]
(f : F) :
IsComplete (ker f : Set M') :=
(isClosed_ker f).isComplete
#align continuous_linear_map.is_complete_ker ContinuousLinearMap.isComplete_ker
instance completeSpace_ker {M' : Type*} [UniformSpace M'] [CompleteSpace M']
[AddCommMonoid M'] [Module R₁ M'] [T1Space M₂]
[FunLike F M' M₂] [ContinuousSemilinearMapClass F σ₁₂ M' M₂]
(f : F) : CompleteSpace (ker f) :=
(isComplete_ker f).completeSpace_coe
#align continuous_linear_map.complete_space_ker ContinuousLinearMap.completeSpace_ker
instance completeSpace_eqLocus {M' : Type*} [UniformSpace M'] [CompleteSpace M']
[AddCommMonoid M'] [Module R₁ M'] [T2Space M₂]
[FunLike F M' M₂] [ContinuousSemilinearMapClass F σ₁₂ M' M₂]
(f g : F) : CompleteSpace (LinearMap.eqLocus f g) :=
IsClosed.completeSpace_coe <| isClosed_eq (map_continuous f) (map_continuous g)
@[simp]
theorem ker_prod [Module R₁ M₂] [Module R₁ M₃] (f : M₁ →L[R₁] M₂) (g : M₁ →L[R₁] M₃) :
ker (f.prod g) = ker f ⊓ ker g :=
LinearMap.ker_prod (f : M₁ →ₗ[R₁] M₂) (g : M₁ →ₗ[R₁] M₃)
#align continuous_linear_map.ker_prod ContinuousLinearMap.ker_prod
def codRestrict (f : M₁ →SL[σ₁₂] M₂) (p : Submodule R₂ M₂) (h : ∀ x, f x ∈ p) :
M₁ →SL[σ₁₂] p where
cont := f.continuous.subtype_mk _
toLinearMap := (f : M₁ →ₛₗ[σ₁₂] M₂).codRestrict p h
#align continuous_linear_map.cod_restrict ContinuousLinearMap.codRestrict
@[norm_cast]
theorem coe_codRestrict (f : M₁ →SL[σ₁₂] M₂) (p : Submodule R₂ M₂) (h : ∀ x, f x ∈ p) :
(f.codRestrict p h : M₁ →ₛₗ[σ₁₂] p) = (f : M₁ →ₛₗ[σ₁₂] M₂).codRestrict p h :=
rfl
#align continuous_linear_map.coe_cod_restrict ContinuousLinearMap.coe_codRestrict
@[simp]
theorem coe_codRestrict_apply (f : M₁ →SL[σ₁₂] M₂) (p : Submodule R₂ M₂) (h : ∀ x, f x ∈ p) (x) :
(f.codRestrict p h x : M₂) = f x :=
rfl
#align continuous_linear_map.coe_cod_restrict_apply ContinuousLinearMap.coe_codRestrict_apply
@[simp]
theorem ker_codRestrict (f : M₁ →SL[σ₁₂] M₂) (p : Submodule R₂ M₂) (h : ∀ x, f x ∈ p) :
ker (f.codRestrict p h) = ker f :=
(f : M₁ →ₛₗ[σ₁₂] M₂).ker_codRestrict p h
#align continuous_linear_map.ker_cod_restrict ContinuousLinearMap.ker_codRestrict
abbrev rangeRestrict [RingHomSurjective σ₁₂] (f : M₁ →SL[σ₁₂] M₂) :=
f.codRestrict (LinearMap.range f) (LinearMap.mem_range_self f)
@[simp]
theorem coe_rangeRestrict [RingHomSurjective σ₁₂] (f : M₁ →SL[σ₁₂] M₂) :
(f.rangeRestrict : M₁ →ₛₗ[σ₁₂] LinearMap.range f) = (f : M₁ →ₛₗ[σ₁₂] M₂).rangeRestrict :=
rfl
def _root_.Submodule.subtypeL (p : Submodule R₁ M₁) : p →L[R₁] M₁ where
cont := continuous_subtype_val
toLinearMap := p.subtype
set_option linter.uppercaseLean3 false in
#align submodule.subtypeL Submodule.subtypeL
@[simp, norm_cast]
theorem _root_.Submodule.coe_subtypeL (p : Submodule R₁ M₁) :
(p.subtypeL : p →ₗ[R₁] M₁) = p.subtype :=
rfl
set_option linter.uppercaseLean3 false in
#align submodule.coe_subtypeL Submodule.coe_subtypeL
@[simp]
theorem _root_.Submodule.coe_subtypeL' (p : Submodule R₁ M₁) : ⇑p.subtypeL = p.subtype :=
rfl
set_option linter.uppercaseLean3 false in
#align submodule.coe_subtypeL' Submodule.coe_subtypeL'
@[simp] -- @[norm_cast] -- Porting note: A theorem with this can't have a rhs starting with `↑`.
theorem _root_.Submodule.subtypeL_apply (p : Submodule R₁ M₁) (x : p) : p.subtypeL x = x :=
rfl
set_option linter.uppercaseLean3 false in
#align submodule.subtypeL_apply Submodule.subtypeL_apply
@[simp]
theorem _root_.Submodule.range_subtypeL (p : Submodule R₁ M₁) : range p.subtypeL = p :=
Submodule.range_subtype _
set_option linter.uppercaseLean3 false in
#align submodule.range_subtypeL Submodule.range_subtypeL
@[simp]
theorem _root_.Submodule.ker_subtypeL (p : Submodule R₁ M₁) : ker p.subtypeL = ⊥ :=
Submodule.ker_subtype _
set_option linter.uppercaseLean3 false in
#align submodule.ker_subtypeL Submodule.ker_subtypeL
variable (R₁ M₁ M₂)
def fst [Module R₁ M₂] : M₁ × M₂ →L[R₁] M₁ where
cont := continuous_fst
toLinearMap := LinearMap.fst R₁ M₁ M₂
#align continuous_linear_map.fst ContinuousLinearMap.fst
def snd [Module R₁ M₂] : M₁ × M₂ →L[R₁] M₂ where
cont := continuous_snd
toLinearMap := LinearMap.snd R₁ M₁ M₂
#align continuous_linear_map.snd ContinuousLinearMap.snd
variable {R₁ M₁ M₂}
@[simp, norm_cast]
theorem coe_fst [Module R₁ M₂] : ↑(fst R₁ M₁ M₂) = LinearMap.fst R₁ M₁ M₂ :=
rfl
#align continuous_linear_map.coe_fst ContinuousLinearMap.coe_fst
@[simp, norm_cast]
theorem coe_fst' [Module R₁ M₂] : ⇑(fst R₁ M₁ M₂) = Prod.fst :=
rfl
#align continuous_linear_map.coe_fst' ContinuousLinearMap.coe_fst'
@[simp, norm_cast]
theorem coe_snd [Module R₁ M₂] : ↑(snd R₁ M₁ M₂) = LinearMap.snd R₁ M₁ M₂ :=
rfl
#align continuous_linear_map.coe_snd ContinuousLinearMap.coe_snd
@[simp, norm_cast]
theorem coe_snd' [Module R₁ M₂] : ⇑(snd R₁ M₁ M₂) = Prod.snd :=
rfl
#align continuous_linear_map.coe_snd' ContinuousLinearMap.coe_snd'
@[simp]
theorem fst_prod_snd [Module R₁ M₂] : (fst R₁ M₁ M₂).prod (snd R₁ M₁ M₂) = id R₁ (M₁ × M₂) :=
ext fun ⟨_x, _y⟩ => rfl
#align continuous_linear_map.fst_prod_snd ContinuousLinearMap.fst_prod_snd
@[simp]
theorem fst_comp_prod [Module R₁ M₂] [Module R₁ M₃] (f : M₁ →L[R₁] M₂) (g : M₁ →L[R₁] M₃) :
(fst R₁ M₂ M₃).comp (f.prod g) = f :=
ext fun _x => rfl
#align continuous_linear_map.fst_comp_prod ContinuousLinearMap.fst_comp_prod
@[simp]
theorem snd_comp_prod [Module R₁ M₂] [Module R₁ M₃] (f : M₁ →L[R₁] M₂) (g : M₁ →L[R₁] M₃) :
(snd R₁ M₂ M₃).comp (f.prod g) = g :=
ext fun _x => rfl
#align continuous_linear_map.snd_comp_prod ContinuousLinearMap.snd_comp_prod
def prodMap [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (f₁ : M₁ →L[R₁] M₂) (f₂ : M₃ →L[R₁] M₄) :
M₁ × M₃ →L[R₁] M₂ × M₄ :=
(f₁.comp (fst R₁ M₁ M₃)).prod (f₂.comp (snd R₁ M₁ M₃))
#align continuous_linear_map.prod_map ContinuousLinearMap.prodMap
@[simp, norm_cast]
theorem coe_prodMap [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (f₁ : M₁ →L[R₁] M₂)
(f₂ : M₃ →L[R₁] M₄) : ↑(f₁.prodMap f₂) = (f₁ : M₁ →ₗ[R₁] M₂).prodMap (f₂ : M₃ →ₗ[R₁] M₄) :=
rfl
#align continuous_linear_map.coe_prod_map ContinuousLinearMap.coe_prodMap
@[simp, norm_cast]
theorem coe_prodMap' [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (f₁ : M₁ →L[R₁] M₂)
(f₂ : M₃ →L[R₁] M₄) : ⇑(f₁.prodMap f₂) = Prod.map f₁ f₂ :=
rfl
#align continuous_linear_map.coe_prod_map' ContinuousLinearMap.coe_prodMap'
def coprod [Module R₁ M₂] [Module R₁ M₃] [ContinuousAdd M₃] (f₁ : M₁ →L[R₁] M₃)
(f₂ : M₂ →L[R₁] M₃) : M₁ × M₂ →L[R₁] M₃ :=
⟨LinearMap.coprod f₁ f₂, (f₁.cont.comp continuous_fst).add (f₂.cont.comp continuous_snd)⟩
#align continuous_linear_map.coprod ContinuousLinearMap.coprod
@[norm_cast, simp]
theorem coe_coprod [Module R₁ M₂] [Module R₁ M₃] [ContinuousAdd M₃] (f₁ : M₁ →L[R₁] M₃)
(f₂ : M₂ →L[R₁] M₃) : (f₁.coprod f₂ : M₁ × M₂ →ₗ[R₁] M₃) = LinearMap.coprod f₁ f₂ :=
rfl
#align continuous_linear_map.coe_coprod ContinuousLinearMap.coe_coprod
@[simp]
theorem coprod_apply [Module R₁ M₂] [Module R₁ M₃] [ContinuousAdd M₃] (f₁ : M₁ →L[R₁] M₃)
(f₂ : M₂ →L[R₁] M₃) (x) : f₁.coprod f₂ x = f₁ x.1 + f₂ x.2 :=
rfl
#align continuous_linear_map.coprod_apply ContinuousLinearMap.coprod_apply
theorem range_coprod [Module R₁ M₂] [Module R₁ M₃] [ContinuousAdd M₃] (f₁ : M₁ →L[R₁] M₃)
(f₂ : M₂ →L[R₁] M₃) : range (f₁.coprod f₂) = range f₁ ⊔ range f₂ :=
LinearMap.range_coprod _ _
#align continuous_linear_map.range_coprod ContinuousLinearMap.range_coprod
theorem comp_fst_add_comp_snd [Module R₁ M₂] [Module R₁ M₃] [ContinuousAdd M₃] (f : M₁ →L[R₁] M₃)
(g : M₂ →L[R₁] M₃) :
f.comp (ContinuousLinearMap.fst R₁ M₁ M₂) + g.comp (ContinuousLinearMap.snd R₁ M₁ M₂) =
f.coprod g :=
rfl
#align continuous_linear_map.comp_fst_add_comp_snd ContinuousLinearMap.comp_fst_add_comp_snd
theorem coprod_inl_inr [ContinuousAdd M₁] [ContinuousAdd M'₁] :
(ContinuousLinearMap.inl R₁ M₁ M'₁).coprod (ContinuousLinearMap.inr R₁ M₁ M'₁) =
ContinuousLinearMap.id R₁ (M₁ × M'₁) := by
apply coe_injective; apply LinearMap.coprod_inl_inr
#align continuous_linear_map.coprod_inl_inr ContinuousLinearMap.coprod_inl_inr
section
variable {R S : Type*} [Semiring R] [Semiring S] [Module R M₁] [Module R M₂] [Module R S]
[Module S M₂] [IsScalarTower R S M₂] [TopologicalSpace S] [ContinuousSMul S M₂]
def smulRight (c : M₁ →L[R] S) (f : M₂) : M₁ →L[R] M₂ :=
{ c.toLinearMap.smulRight f with cont := c.2.smul continuous_const }
#align continuous_linear_map.smul_right ContinuousLinearMap.smulRight
@[simp]
theorem smulRight_apply {c : M₁ →L[R] S} {f : M₂} {x : M₁} :
(smulRight c f : M₁ → M₂) x = c x • f :=
rfl
#align continuous_linear_map.smul_right_apply ContinuousLinearMap.smulRight_apply
end
variable [Module R₁ M₂] [TopologicalSpace R₁] [ContinuousSMul R₁ M₂]
@[simp]
theorem smulRight_one_one (c : R₁ →L[R₁] M₂) : smulRight (1 : R₁ →L[R₁] R₁) (c 1) = c := by
ext
simp [← ContinuousLinearMap.map_smul_of_tower]
#align continuous_linear_map.smul_right_one_one ContinuousLinearMap.smulRight_one_one
@[simp]
theorem smulRight_one_eq_iff {f f' : M₂} :
smulRight (1 : R₁ →L[R₁] R₁) f = smulRight (1 : R₁ →L[R₁] R₁) f' ↔ f = f' := by
simp only [ext_ring_iff, smulRight_apply, one_apply, one_smul]
#align continuous_linear_map.smul_right_one_eq_iff ContinuousLinearMap.smulRight_one_eq_iff
theorem smulRight_comp [ContinuousMul R₁] {x : M₂} {c : R₁} :
(smulRight (1 : R₁ →L[R₁] R₁) x).comp (smulRight (1 : R₁ →L[R₁] R₁) c) =
smulRight (1 : R₁ →L[R₁] R₁) (c • x) := by
ext
simp [mul_smul]
#align continuous_linear_map.smul_right_comp ContinuousLinearMap.smulRight_comp
namespace ContinuousLinearEquiv
section AddCommMonoid
variable {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} [Semiring R₁] [Semiring R₂] [Semiring R₃]
{σ₁₂ : R₁ →+* R₂} {σ₂₁ : R₂ →+* R₁} [RingHomInvPair σ₁₂ σ₂₁] [RingHomInvPair σ₂₁ σ₁₂]
{σ₂₃ : R₂ →+* R₃} {σ₃₂ : R₃ →+* R₂} [RingHomInvPair σ₂₃ σ₃₂] [RingHomInvPair σ₃₂ σ₂₃]
{σ₁₃ : R₁ →+* R₃} {σ₃₁ : R₃ →+* R₁} [RingHomInvPair σ₁₃ σ₃₁] [RingHomInvPair σ₃₁ σ₁₃]
[RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] [RingHomCompTriple σ₃₂ σ₂₁ σ₃₁] {M₁ : Type*}
[TopologicalSpace M₁] [AddCommMonoid M₁] {M'₁ : Type*} [TopologicalSpace M'₁] [AddCommMonoid M'₁]
{M₂ : Type*} [TopologicalSpace M₂] [AddCommMonoid M₂] {M₃ : Type*} [TopologicalSpace M₃]
[AddCommMonoid M₃] {M₄ : Type*} [TopologicalSpace M₄] [AddCommMonoid M₄] [Module R₁ M₁]
[Module R₁ M'₁] [Module R₂ M₂] [Module R₃ M₃]
@[coe]
def toContinuousLinearMap (e : M₁ ≃SL[σ₁₂] M₂) : M₁ →SL[σ₁₂] M₂ :=
{ e.toLinearEquiv.toLinearMap with cont := e.continuous_toFun }
#align continuous_linear_equiv.to_continuous_linear_map ContinuousLinearEquiv.toContinuousLinearMap
instance ContinuousLinearMap.coe : Coe (M₁ ≃SL[σ₁₂] M₂) (M₁ →SL[σ₁₂] M₂) :=
⟨toContinuousLinearMap⟩
#align continuous_linear_equiv.continuous_linear_map.has_coe ContinuousLinearEquiv.ContinuousLinearMap.coe
instance equivLike :
EquivLike (M₁ ≃SL[σ₁₂] M₂) M₁ M₂ where
coe f := f.toFun
inv f := f.invFun
coe_injective' f g h₁ h₂ := by
cases' f with f' _
cases' g with g' _
rcases f' with ⟨⟨⟨_, _⟩, _⟩, _⟩
rcases g' with ⟨⟨⟨_, _⟩, _⟩, _⟩
congr
left_inv f := f.left_inv
right_inv f := f.right_inv
instance continuousSemilinearEquivClass :
ContinuousSemilinearEquivClass (M₁ ≃SL[σ₁₂] M₂) σ₁₂ M₁ M₂ where
map_add f := f.map_add'
map_smulₛₗ f := f.map_smul'
map_continuous := continuous_toFun
inv_continuous := continuous_invFun
#align continuous_linear_equiv.continuous_semilinear_equiv_class ContinuousLinearEquiv.continuousSemilinearEquivClass
-- see Note [function coercion]
--
-- instance : CoeFun (M₁ ≃SL[σ₁₂] M₂) fun _ => M₁ → M₂ :=
-- ⟨fun f => f⟩
-- Porting note: Syntactic tautology.
#noalign continuous_linear_equiv.coe_def_rev
theorem coe_apply (e : M₁ ≃SL[σ₁₂] M₂) (b : M₁) : (e : M₁ →SL[σ₁₂] M₂) b = e b :=
rfl
#align continuous_linear_equiv.coe_apply ContinuousLinearEquiv.coe_apply
@[simp]
theorem coe_toLinearEquiv (f : M₁ ≃SL[σ₁₂] M₂) : ⇑f.toLinearEquiv = f :=
rfl
#align continuous_linear_equiv.coe_to_linear_equiv ContinuousLinearEquiv.coe_toLinearEquiv
@[simp, norm_cast]
theorem coe_coe (e : M₁ ≃SL[σ₁₂] M₂) : ⇑(e : M₁ →SL[σ₁₂] M₂) = e :=
rfl
#align continuous_linear_equiv.coe_coe ContinuousLinearEquiv.coe_coe
theorem toLinearEquiv_injective :
Function.Injective (toLinearEquiv : (M₁ ≃SL[σ₁₂] M₂) → M₁ ≃ₛₗ[σ₁₂] M₂) := by
rintro ⟨e, _, _⟩ ⟨e', _, _⟩ rfl
rfl
#align continuous_linear_equiv.to_linear_equiv_injective ContinuousLinearEquiv.toLinearEquiv_injective
@[ext]
theorem ext {f g : M₁ ≃SL[σ₁₂] M₂} (h : (f : M₁ → M₂) = g) : f = g :=
toLinearEquiv_injective <| LinearEquiv.ext <| congr_fun h
#align continuous_linear_equiv.ext ContinuousLinearEquiv.ext
theorem coe_injective : Function.Injective ((↑) : (M₁ ≃SL[σ₁₂] M₂) → M₁ →SL[σ₁₂] M₂) :=
fun _e _e' h => ext <| funext <| ContinuousLinearMap.ext_iff.1 h
#align continuous_linear_equiv.coe_injective ContinuousLinearEquiv.coe_injective
@[simp, norm_cast]
theorem coe_inj {e e' : M₁ ≃SL[σ₁₂] M₂} : (e : M₁ →SL[σ₁₂] M₂) = e' ↔ e = e' :=
coe_injective.eq_iff
#align continuous_linear_equiv.coe_inj ContinuousLinearEquiv.coe_inj
def toHomeomorph (e : M₁ ≃SL[σ₁₂] M₂) : M₁ ≃ₜ M₂ :=
{ e with toEquiv := e.toLinearEquiv.toEquiv }
#align continuous_linear_equiv.to_homeomorph ContinuousLinearEquiv.toHomeomorph
@[simp]
theorem coe_toHomeomorph (e : M₁ ≃SL[σ₁₂] M₂) : ⇑e.toHomeomorph = e :=
rfl
#align continuous_linear_equiv.coe_to_homeomorph ContinuousLinearEquiv.coe_toHomeomorph
theorem isOpenMap (e : M₁ ≃SL[σ₁₂] M₂) : IsOpenMap e :=
(ContinuousLinearEquiv.toHomeomorph e).isOpenMap
theorem image_closure (e : M₁ ≃SL[σ₁₂] M₂) (s : Set M₁) : e '' closure s = closure (e '' s) :=
e.toHomeomorph.image_closure s
#align continuous_linear_equiv.image_closure ContinuousLinearEquiv.image_closure
theorem preimage_closure (e : M₁ ≃SL[σ₁₂] M₂) (s : Set M₂) : e ⁻¹' closure s = closure (e ⁻¹' s) :=
e.toHomeomorph.preimage_closure s
#align continuous_linear_equiv.preimage_closure ContinuousLinearEquiv.preimage_closure
@[simp]
theorem isClosed_image (e : M₁ ≃SL[σ₁₂] M₂) {s : Set M₁} : IsClosed (e '' s) ↔ IsClosed s :=
e.toHomeomorph.isClosed_image
#align continuous_linear_equiv.is_closed_image ContinuousLinearEquiv.isClosed_image
theorem map_nhds_eq (e : M₁ ≃SL[σ₁₂] M₂) (x : M₁) : map e (𝓝 x) = 𝓝 (e x) :=
e.toHomeomorph.map_nhds_eq x
#align continuous_linear_equiv.map_nhds_eq ContinuousLinearEquiv.map_nhds_eq
-- Make some straightforward lemmas available to `simp`.
-- @[simp] -- Porting note (#10618): simp can prove this
theorem map_zero (e : M₁ ≃SL[σ₁₂] M₂) : e (0 : M₁) = 0 :=
(e : M₁ →SL[σ₁₂] M₂).map_zero
#align continuous_linear_equiv.map_zero ContinuousLinearEquiv.map_zero
-- @[simp] -- Porting note (#10618): simp can prove this
theorem map_add (e : M₁ ≃SL[σ₁₂] M₂) (x y : M₁) : e (x + y) = e x + e y :=
(e : M₁ →SL[σ₁₂] M₂).map_add x y
#align continuous_linear_equiv.map_add ContinuousLinearEquiv.map_add
-- @[simp] -- Porting note (#10618): simp can prove this
theorem map_smulₛₗ (e : M₁ ≃SL[σ₁₂] M₂) (c : R₁) (x : M₁) : e (c • x) = σ₁₂ c • e x :=
(e : M₁ →SL[σ₁₂] M₂).map_smulₛₗ c x
#align continuous_linear_equiv.map_smulₛₗ ContinuousLinearEquiv.map_smulₛₗ
-- @[simp] -- Porting note (#10618): simp can prove this
theorem map_smul [Module R₁ M₂] (e : M₁ ≃L[R₁] M₂) (c : R₁) (x : M₁) : e (c • x) = c • e x :=
(e : M₁ →L[R₁] M₂).map_smul c x
#align continuous_linear_equiv.map_smul ContinuousLinearEquiv.map_smul
-- @[simp] -- Porting note (#10618): simp can prove this
theorem map_eq_zero_iff (e : M₁ ≃SL[σ₁₂] M₂) {x : M₁} : e x = 0 ↔ x = 0 :=
e.toLinearEquiv.map_eq_zero_iff
#align continuous_linear_equiv.map_eq_zero_iff ContinuousLinearEquiv.map_eq_zero_iff
attribute [continuity]
ContinuousLinearEquiv.continuous_toFun ContinuousLinearEquiv.continuous_invFun
@[continuity]
protected theorem continuous (e : M₁ ≃SL[σ₁₂] M₂) : Continuous (e : M₁ → M₂) :=
e.continuous_toFun
#align continuous_linear_equiv.continuous ContinuousLinearEquiv.continuous
protected theorem continuousOn (e : M₁ ≃SL[σ₁₂] M₂) {s : Set M₁} : ContinuousOn (e : M₁ → M₂) s :=
e.continuous.continuousOn
#align continuous_linear_equiv.continuous_on ContinuousLinearEquiv.continuousOn
protected theorem continuousAt (e : M₁ ≃SL[σ₁₂] M₂) {x : M₁} : ContinuousAt (e : M₁ → M₂) x :=
e.continuous.continuousAt
#align continuous_linear_equiv.continuous_at ContinuousLinearEquiv.continuousAt
protected theorem continuousWithinAt (e : M₁ ≃SL[σ₁₂] M₂) {s : Set M₁} {x : M₁} :
ContinuousWithinAt (e : M₁ → M₂) s x :=
e.continuous.continuousWithinAt
#align continuous_linear_equiv.continuous_within_at ContinuousLinearEquiv.continuousWithinAt
theorem comp_continuousOn_iff {α : Type*} [TopologicalSpace α] (e : M₁ ≃SL[σ₁₂] M₂) {f : α → M₁}
{s : Set α} : ContinuousOn (e ∘ f) s ↔ ContinuousOn f s :=
e.toHomeomorph.comp_continuousOn_iff _ _
#align continuous_linear_equiv.comp_continuous_on_iff ContinuousLinearEquiv.comp_continuousOn_iff
theorem comp_continuous_iff {α : Type*} [TopologicalSpace α] (e : M₁ ≃SL[σ₁₂] M₂) {f : α → M₁} :
Continuous (e ∘ f) ↔ Continuous f :=
e.toHomeomorph.comp_continuous_iff
#align continuous_linear_equiv.comp_continuous_iff ContinuousLinearEquiv.comp_continuous_iff
theorem ext₁ [TopologicalSpace R₁] {f g : R₁ ≃L[R₁] M₁} (h : f 1 = g 1) : f = g :=
ext <| funext fun x => mul_one x ▸ by rw [← smul_eq_mul, map_smul, h, map_smul]
#align continuous_linear_equiv.ext₁ ContinuousLinearEquiv.ext₁
section
variable (R₁ M₁)
@[refl]
protected def refl : M₁ ≃L[R₁] M₁ :=
{ LinearEquiv.refl R₁ M₁ with
continuous_toFun := continuous_id
continuous_invFun := continuous_id }
#align continuous_linear_equiv.refl ContinuousLinearEquiv.refl
end
@[simp, norm_cast]
theorem coe_refl : ↑(ContinuousLinearEquiv.refl R₁ M₁) = ContinuousLinearMap.id R₁ M₁ :=
rfl
#align continuous_linear_equiv.coe_refl ContinuousLinearEquiv.coe_refl
@[simp, norm_cast]
theorem coe_refl' : ⇑(ContinuousLinearEquiv.refl R₁ M₁) = id :=
rfl
#align continuous_linear_equiv.coe_refl' ContinuousLinearEquiv.coe_refl'
@[symm]
protected def symm (e : M₁ ≃SL[σ₁₂] M₂) : M₂ ≃SL[σ₂₁] M₁ :=
{ e.toLinearEquiv.symm with
continuous_toFun := e.continuous_invFun
continuous_invFun := e.continuous_toFun }
#align continuous_linear_equiv.symm ContinuousLinearEquiv.symm
@[simp]
theorem symm_toLinearEquiv (e : M₁ ≃SL[σ₁₂] M₂) : e.symm.toLinearEquiv = e.toLinearEquiv.symm := by
ext
rfl
#align continuous_linear_equiv.symm_to_linear_equiv ContinuousLinearEquiv.symm_toLinearEquiv
@[simp]
theorem symm_toHomeomorph (e : M₁ ≃SL[σ₁₂] M₂) : e.toHomeomorph.symm = e.symm.toHomeomorph :=
rfl
#align continuous_linear_equiv.symm_to_homeomorph ContinuousLinearEquiv.symm_toHomeomorph
def Simps.apply (h : M₁ ≃SL[σ₁₂] M₂) : M₁ → M₂ :=
h
#align continuous_linear_equiv.simps.apply ContinuousLinearEquiv.Simps.apply
def Simps.symm_apply (h : M₁ ≃SL[σ₁₂] M₂) : M₂ → M₁ :=
h.symm
#align continuous_linear_equiv.simps.symm_apply ContinuousLinearEquiv.Simps.symm_apply
initialize_simps_projections ContinuousLinearEquiv (toFun → apply, invFun → symm_apply)
theorem symm_map_nhds_eq (e : M₁ ≃SL[σ₁₂] M₂) (x : M₁) : map e.symm (𝓝 (e x)) = 𝓝 x :=
e.toHomeomorph.symm_map_nhds_eq x
#align continuous_linear_equiv.symm_map_nhds_eq ContinuousLinearEquiv.symm_map_nhds_eq
@[trans]
protected def trans (e₁ : M₁ ≃SL[σ₁₂] M₂) (e₂ : M₂ ≃SL[σ₂₃] M₃) : M₁ ≃SL[σ₁₃] M₃ :=
{ e₁.toLinearEquiv.trans e₂.toLinearEquiv with
continuous_toFun := e₂.continuous_toFun.comp e₁.continuous_toFun
continuous_invFun := e₁.continuous_invFun.comp e₂.continuous_invFun }
#align continuous_linear_equiv.trans ContinuousLinearEquiv.trans
@[simp]
theorem trans_toLinearEquiv (e₁ : M₁ ≃SL[σ₁₂] M₂) (e₂ : M₂ ≃SL[σ₂₃] M₃) :
(e₁.trans e₂).toLinearEquiv = e₁.toLinearEquiv.trans e₂.toLinearEquiv := by
ext
rfl
#align continuous_linear_equiv.trans_to_linear_equiv ContinuousLinearEquiv.trans_toLinearEquiv
def prod [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (e : M₁ ≃L[R₁] M₂) (e' : M₃ ≃L[R₁] M₄) :
(M₁ × M₃) ≃L[R₁] M₂ × M₄ :=
{ e.toLinearEquiv.prod e'.toLinearEquiv with
continuous_toFun := e.continuous_toFun.prod_map e'.continuous_toFun
continuous_invFun := e.continuous_invFun.prod_map e'.continuous_invFun }
#align continuous_linear_equiv.prod ContinuousLinearEquiv.prod
@[simp, norm_cast]
theorem prod_apply [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (e : M₁ ≃L[R₁] M₂)
(e' : M₃ ≃L[R₁] M₄) (x) : e.prod e' x = (e x.1, e' x.2) :=
rfl
#align continuous_linear_equiv.prod_apply ContinuousLinearEquiv.prod_apply
@[simp, norm_cast]
theorem coe_prod [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (e : M₁ ≃L[R₁] M₂)
(e' : M₃ ≃L[R₁] M₄) :
(e.prod e' : M₁ × M₃ →L[R₁] M₂ × M₄) = (e : M₁ →L[R₁] M₂).prodMap (e' : M₃ →L[R₁] M₄) :=
rfl
#align continuous_linear_equiv.coe_prod ContinuousLinearEquiv.coe_prod
theorem prod_symm [Module R₁ M₂] [Module R₁ M₃] [Module R₁ M₄] (e : M₁ ≃L[R₁] M₂)
(e' : M₃ ≃L[R₁] M₄) : (e.prod e').symm = e.symm.prod e'.symm :=
rfl
#align continuous_linear_equiv.prod_symm ContinuousLinearEquiv.prod_symm
variable (R₁ M₁ M₂)
@[simps! apply toLinearEquiv]
def prodComm [Module R₁ M₂] : (M₁ × M₂) ≃L[R₁] M₂ × M₁ :=
{ LinearEquiv.prodComm R₁ M₁ M₂ with
continuous_toFun := continuous_swap
continuous_invFun := continuous_swap }
@[simp] lemma prodComm_symm [Module R₁ M₂] : (prodComm R₁ M₁ M₂).symm = prodComm R₁ M₂ M₁ := rfl
variable {R₁ M₁ M₂}
protected theorem bijective (e : M₁ ≃SL[σ₁₂] M₂) : Function.Bijective e :=
e.toLinearEquiv.toEquiv.bijective
#align continuous_linear_equiv.bijective ContinuousLinearEquiv.bijective
protected theorem injective (e : M₁ ≃SL[σ₁₂] M₂) : Function.Injective e :=
e.toLinearEquiv.toEquiv.injective
#align continuous_linear_equiv.injective ContinuousLinearEquiv.injective
protected theorem surjective (e : M₁ ≃SL[σ₁₂] M₂) : Function.Surjective e :=
e.toLinearEquiv.toEquiv.surjective
#align continuous_linear_equiv.surjective ContinuousLinearEquiv.surjective
@[simp]
theorem trans_apply (e₁ : M₁ ≃SL[σ₁₂] M₂) (e₂ : M₂ ≃SL[σ₂₃] M₃) (c : M₁) :
(e₁.trans e₂) c = e₂ (e₁ c) :=
rfl
#align continuous_linear_equiv.trans_apply ContinuousLinearEquiv.trans_apply
@[simp]
theorem apply_symm_apply (e : M₁ ≃SL[σ₁₂] M₂) (c : M₂) : e (e.symm c) = c :=
e.1.right_inv c
#align continuous_linear_equiv.apply_symm_apply ContinuousLinearEquiv.apply_symm_apply
@[simp]
theorem symm_apply_apply (e : M₁ ≃SL[σ₁₂] M₂) (b : M₁) : e.symm (e b) = b :=
e.1.left_inv b
#align continuous_linear_equiv.symm_apply_apply ContinuousLinearEquiv.symm_apply_apply
@[simp]
theorem symm_trans_apply (e₁ : M₂ ≃SL[σ₂₁] M₁) (e₂ : M₃ ≃SL[σ₃₂] M₂) (c : M₁) :
(e₂.trans e₁).symm c = e₂.symm (e₁.symm c) :=
rfl
#align continuous_linear_equiv.symm_trans_apply ContinuousLinearEquiv.symm_trans_apply
@[simp]
theorem symm_image_image (e : M₁ ≃SL[σ₁₂] M₂) (s : Set M₁) : e.symm '' (e '' s) = s :=
e.toLinearEquiv.toEquiv.symm_image_image s
#align continuous_linear_equiv.symm_image_image ContinuousLinearEquiv.symm_image_image
@[simp]
theorem image_symm_image (e : M₁ ≃SL[σ₁₂] M₂) (s : Set M₂) : e '' (e.symm '' s) = s :=
e.symm.symm_image_image s
#align continuous_linear_equiv.image_symm_image ContinuousLinearEquiv.image_symm_image
@[simp, norm_cast]
theorem comp_coe (f : M₁ ≃SL[σ₁₂] M₂) (f' : M₂ ≃SL[σ₂₃] M₃) :
(f' : M₂ →SL[σ₂₃] M₃).comp (f : M₁ →SL[σ₁₂] M₂) = (f.trans f' : M₁ →SL[σ₁₃] M₃) :=
rfl
#align continuous_linear_equiv.comp_coe ContinuousLinearEquiv.comp_coe
-- Porting note: The priority should be higher than `comp_coe`.
@[simp high]
theorem coe_comp_coe_symm (e : M₁ ≃SL[σ₁₂] M₂) :
(e : M₁ →SL[σ₁₂] M₂).comp (e.symm : M₂ →SL[σ₂₁] M₁) = ContinuousLinearMap.id R₂ M₂ :=
ContinuousLinearMap.ext e.apply_symm_apply
#align continuous_linear_equiv.coe_comp_coe_symm ContinuousLinearEquiv.coe_comp_coe_symm
-- Porting note: The priority should be higher than `comp_coe`.
@[simp high]
theorem coe_symm_comp_coe (e : M₁ ≃SL[σ₁₂] M₂) :
(e.symm : M₂ →SL[σ₂₁] M₁).comp (e : M₁ →SL[σ₁₂] M₂) = ContinuousLinearMap.id R₁ M₁ :=
ContinuousLinearMap.ext e.symm_apply_apply
#align continuous_linear_equiv.coe_symm_comp_coe ContinuousLinearEquiv.coe_symm_comp_coe
@[simp]
theorem symm_comp_self (e : M₁ ≃SL[σ₁₂] M₂) : (e.symm : M₂ → M₁) ∘ (e : M₁ → M₂) = id := by
ext x
exact symm_apply_apply e x
#align continuous_linear_equiv.symm_comp_self ContinuousLinearEquiv.symm_comp_self
@[simp]
| Mathlib/Topology/Algebra/Module/Basic.lean | 2,210 | 2,212 | theorem self_comp_symm (e : M₁ ≃SL[σ₁₂] M₂) : (e : M₁ → M₂) ∘ (e.symm : M₂ → M₁) = id := by |
ext x
exact apply_symm_apply e x
|
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.MeasureTheory.Integral.Lebesgue
open scoped Classical ENNReal
open Set Function Equiv Finset
noncomputable section
namespace MeasureTheory
section LMarginal
variable {δ δ' : Type*} {π : δ → Type*} [∀ x, MeasurableSpace (π x)]
variable {μ : ∀ i, Measure (π i)} [∀ i, SigmaFinite (μ i)] [DecidableEq δ]
variable {s t : Finset δ} {f g : (∀ i, π i) → ℝ≥0∞} {x y : ∀ i, π i} {i : δ}
def lmarginal (μ : ∀ i, Measure (π i)) (s : Finset δ) (f : (∀ i, π i) → ℝ≥0∞)
(x : ∀ i, π i) : ℝ≥0∞ :=
∫⁻ y : ∀ i : s, π i, f (updateFinset x s y) ∂Measure.pi fun i : s => μ i
-- Note: this notation is not a binder. This is more convenient since it returns a function.
@[inherit_doc]
notation "∫⋯∫⁻_" s ", " f " ∂" μ:70 => lmarginal μ s f
@[inherit_doc]
notation "∫⋯∫⁻_" s ", " f => lmarginal (fun _ ↦ volume) s f
variable (μ)
theorem _root_.Measurable.lmarginal (hf : Measurable f) : Measurable (∫⋯∫⁻_s, f ∂μ) := by
refine Measurable.lintegral_prod_right ?_
refine hf.comp ?_
rw [measurable_pi_iff]; intro i
by_cases hi : i ∈ s
· simp [hi, updateFinset]
exact measurable_pi_iff.1 measurable_snd _
· simp [hi, updateFinset]
exact measurable_pi_iff.1 measurable_fst _
@[simp] theorem lmarginal_empty (f : (∀ i, π i) → ℝ≥0∞) : ∫⋯∫⁻_∅, f ∂μ = f := by
ext1 x
simp_rw [lmarginal, Measure.pi_of_empty fun i : (∅ : Finset δ) => μ i]
apply lintegral_dirac'
exact Subsingleton.measurable
| Mathlib/MeasureTheory/Integral/Marginal.lean | 105 | 108 | theorem lmarginal_congr {x y : ∀ i, π i} (f : (∀ i, π i) → ℝ≥0∞)
(h : ∀ i ∉ s, x i = y i) :
(∫⋯∫⁻_s, f ∂μ) x = (∫⋯∫⁻_s, f ∂μ) y := by |
dsimp [lmarginal, updateFinset_def]; rcongr; exact h _ ‹_›
|
import Mathlib.Algebra.Star.Center
import Mathlib.Algebra.Star.StarAlgHom
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.Algebra.Star.Pointwise
import Mathlib.Algebra.Star.Module
import Mathlib.RingTheory.Adjoin.Basic
#align_import algebra.star.subalgebra from "leanprover-community/mathlib"@"160ef3e338a2a4f21a280e4c152d4016156e516d"
universe u v
structure StarSubalgebra (R : Type u) (A : Type v) [CommSemiring R] [StarRing R] [Semiring A]
[StarRing A] [Algebra R A] [StarModule R A] extends Subalgebra R A : Type v where
star_mem' {a} : a ∈ carrier → star a ∈ carrier
#align star_subalgebra StarSubalgebra
namespace StarSubalgebra
add_decl_doc StarSubalgebra.toSubalgebra
variable {F R A B C : Type*} [CommSemiring R] [StarRing R]
variable [Semiring A] [StarRing A] [Algebra R A] [StarModule R A]
variable [Semiring B] [StarRing B] [Algebra R B] [StarModule R B]
variable [Semiring C] [StarRing C] [Algebra R C] [StarModule R C]
instance setLike : SetLike (StarSubalgebra R A) A where
coe S := S.carrier
coe_injective' p q h := by obtain ⟨⟨⟨⟨⟨_, _⟩, _⟩, _⟩, _⟩, _⟩ := p; cases q; congr
instance starMemClass : StarMemClass (StarSubalgebra R A) A where
star_mem {s} := s.star_mem'
instance subsemiringClass : SubsemiringClass (StarSubalgebra R A) A where
add_mem {s} := s.add_mem'
mul_mem {s} := s.mul_mem'
one_mem {s} := s.one_mem'
zero_mem {s} := s.zero_mem'
instance smulMemClass : SMulMemClass (StarSubalgebra R A) R A where
smul_mem {s} r a (ha : a ∈ s.toSubalgebra) :=
(SMulMemClass.smul_mem r ha : r • a ∈ s.toSubalgebra)
instance subringClass {R A} [CommRing R] [StarRing R] [Ring A] [StarRing A] [Algebra R A]
[StarModule R A] : SubringClass (StarSubalgebra R A) A where
neg_mem {s a} ha := show -a ∈ s.toSubalgebra from neg_mem ha
-- this uses the `Star` instance `s` inherits from `StarMemClass (StarSubalgebra R A) A`
instance starRing (s : StarSubalgebra R A) : StarRing s :=
{ StarMemClass.instStar s with
star_involutive := fun r => Subtype.ext (star_star (r : A))
star_mul := fun r₁ r₂ => Subtype.ext (star_mul (r₁ : A) (r₂ : A))
star_add := fun r₁ r₂ => Subtype.ext (star_add (r₁ : A) (r₂ : A)) }
instance algebra (s : StarSubalgebra R A) : Algebra R s :=
s.toSubalgebra.algebra'
instance starModule (s : StarSubalgebra R A) : StarModule R s where
star_smul r a := Subtype.ext (star_smul r (a : A))
@[simp, nolint simpNF] -- porting note (#10618): `simpNF` says `simp` can prove this, but it can't
theorem mem_carrier {s : StarSubalgebra R A} {x : A} : x ∈ s.carrier ↔ x ∈ s :=
Iff.rfl
#align star_subalgebra.mem_carrier StarSubalgebra.mem_carrier
@[ext]
theorem ext {S T : StarSubalgebra R A} (h : ∀ x : A, x ∈ S ↔ x ∈ T) : S = T :=
SetLike.ext h
#align star_subalgebra.ext StarSubalgebra.ext
@[simp]
lemma coe_mk (S : Subalgebra R A) (h) : ((⟨S, h⟩ : StarSubalgebra R A) : Set A) = S := rfl
@[simp]
theorem mem_toSubalgebra {S : StarSubalgebra R A} {x} : x ∈ S.toSubalgebra ↔ x ∈ S :=
Iff.rfl
#align star_subalgebra.mem_to_subalgebra StarSubalgebra.mem_toSubalgebra
@[simp]
theorem coe_toSubalgebra (S : StarSubalgebra R A) : (S.toSubalgebra : Set A) = S :=
rfl
#align star_subalgebra.coe_to_subalgebra StarSubalgebra.coe_toSubalgebra
theorem toSubalgebra_injective :
Function.Injective (toSubalgebra : StarSubalgebra R A → Subalgebra R A) := fun S T h =>
ext fun x => by rw [← mem_toSubalgebra, ← mem_toSubalgebra, h]
#align star_subalgebra.to_subalgebra_injective StarSubalgebra.toSubalgebra_injective
theorem toSubalgebra_inj {S U : StarSubalgebra R A} : S.toSubalgebra = U.toSubalgebra ↔ S = U :=
toSubalgebra_injective.eq_iff
#align star_subalgebra.to_subalgebra_inj StarSubalgebra.toSubalgebra_inj
theorem toSubalgebra_le_iff {S₁ S₂ : StarSubalgebra R A} :
S₁.toSubalgebra ≤ S₂.toSubalgebra ↔ S₁ ≤ S₂ :=
Iff.rfl
#align star_subalgebra.to_subalgebra_le_iff StarSubalgebra.toSubalgebra_le_iff
protected def copy (S : StarSubalgebra R A) (s : Set A) (hs : s = ↑S) : StarSubalgebra R A where
toSubalgebra := Subalgebra.copy S.toSubalgebra s hs
star_mem' := @fun a ha => hs ▸ (S.star_mem' (by simpa [hs] using ha) : star a ∈ (S : Set A))
-- Porting note: the old proof kept crashing Lean
#align star_subalgebra.copy StarSubalgebra.copy
@[simp]
theorem coe_copy (S : StarSubalgebra R A) (s : Set A) (hs : s = ↑S) : (S.copy s hs : Set A) = s :=
rfl
#align star_subalgebra.coe_copy StarSubalgebra.coe_copy
theorem copy_eq (S : StarSubalgebra R A) (s : Set A) (hs : s = ↑S) : S.copy s hs = S :=
SetLike.coe_injective hs
#align star_subalgebra.copy_eq StarSubalgebra.copy_eq
variable (S : StarSubalgebra R A)
theorem algebraMap_mem (r : R) : algebraMap R A r ∈ S :=
S.algebraMap_mem' r
#align star_subalgebra.algebra_map_mem StarSubalgebra.algebraMap_mem
theorem rangeS_le : (algebraMap R A).rangeS ≤ S.toSubalgebra.toSubsemiring := fun _x ⟨r, hr⟩ =>
hr ▸ S.algebraMap_mem r
#align star_subalgebra.srange_le StarSubalgebra.rangeS_le
theorem range_subset : Set.range (algebraMap R A) ⊆ S := fun _x ⟨r, hr⟩ => hr ▸ S.algebraMap_mem r
#align star_subalgebra.range_subset StarSubalgebra.range_subset
theorem range_le : Set.range (algebraMap R A) ≤ S :=
S.range_subset
#align star_subalgebra.range_le StarSubalgebra.range_le
protected theorem smul_mem {x : A} (hx : x ∈ S) (r : R) : r • x ∈ S :=
(Algebra.smul_def r x).symm ▸ mul_mem (S.algebraMap_mem r) hx
#align star_subalgebra.smul_mem StarSubalgebra.smul_mem
def subtype : S →⋆ₐ[R] A where
toFun := ((↑) : S → A)
map_one' := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_add' _ _ := rfl
commutes' _ := rfl
map_star' _ := rfl
#align star_subalgebra.subtype StarSubalgebra.subtype
@[simp]
theorem coe_subtype : (S.subtype : S → A) = Subtype.val :=
rfl
#align star_subalgebra.coe_subtype StarSubalgebra.coe_subtype
theorem subtype_apply (x : S) : S.subtype x = (x : A) :=
rfl
#align star_subalgebra.subtype_apply StarSubalgebra.subtype_apply
@[simp]
theorem toSubalgebra_subtype : S.toSubalgebra.val = S.subtype.toAlgHom :=
rfl
#align star_subalgebra.to_subalgebra_subtype StarSubalgebra.toSubalgebra_subtype
@[simps]
def inclusion {S₁ S₂ : StarSubalgebra R A} (h : S₁ ≤ S₂) : S₁ →⋆ₐ[R] S₂ where
toFun := Subtype.map id h
map_one' := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_add' _ _ := rfl
commutes' _ := rfl
map_star' _ := rfl
#align star_subalgebra.inclusion StarSubalgebra.inclusion
theorem inclusion_injective {S₁ S₂ : StarSubalgebra R A} (h : S₁ ≤ S₂) :
Function.Injective <| inclusion h :=
Set.inclusion_injective h
#align star_subalgebra.inclusion_injective StarSubalgebra.inclusion_injective
@[simp]
theorem subtype_comp_inclusion {S₁ S₂ : StarSubalgebra R A} (h : S₁ ≤ S₂) :
S₂.subtype.comp (inclusion h) = S₁.subtype :=
rfl
#align star_subalgebra.subtype_comp_inclusion StarSubalgebra.subtype_comp_inclusion
namespace StarSubalgebra
variable {F R A B : Type*} [CommSemiring R] [StarRing R]
variable [Semiring A] [Algebra R A] [StarRing A] [StarModule R A]
variable [Semiring B] [Algebra R B] [StarRing B] [StarModule R B]
instance completeLattice : CompleteLattice (StarSubalgebra R A) where
__ := GaloisInsertion.liftCompleteLattice StarAlgebra.gi
bot := { toSubalgebra := ⊥, star_mem' := fun ⟨r, hr⟩ => ⟨star r, hr ▸ algebraMap_star_comm _⟩ }
bot_le S := (bot_le : ⊥ ≤ S.toSubalgebra)
instance inhabited : Inhabited (StarSubalgebra R A) :=
⟨⊤⟩
@[simp]
theorem coe_top : (↑(⊤ : StarSubalgebra R A) : Set A) = Set.univ :=
rfl
#align star_subalgebra.coe_top StarSubalgebra.coe_top
@[simp]
theorem mem_top {x : A} : x ∈ (⊤ : StarSubalgebra R A) :=
Set.mem_univ x
#align star_subalgebra.mem_top StarSubalgebra.mem_top
@[simp]
theorem top_toSubalgebra : (⊤ : StarSubalgebra R A).toSubalgebra = ⊤ := by ext; simp
-- Porting note: Lean can no longer prove this by `rfl`, it times out
#align star_subalgebra.top_to_subalgebra StarSubalgebra.top_toSubalgebra
@[simp]
theorem toSubalgebra_eq_top {S : StarSubalgebra R A} : S.toSubalgebra = ⊤ ↔ S = ⊤ :=
StarSubalgebra.toSubalgebra_injective.eq_iff' top_toSubalgebra
#align star_subalgebra.to_subalgebra_eq_top StarSubalgebra.toSubalgebra_eq_top
theorem mem_sup_left {S T : StarSubalgebra R A} : ∀ {x : A}, x ∈ S → x ∈ S ⊔ T :=
have : S ≤ S ⊔ T := le_sup_left; (this ·) -- Porting note: need `have` instead of `show`
#align star_subalgebra.mem_sup_left StarSubalgebra.mem_sup_left
theorem mem_sup_right {S T : StarSubalgebra R A} : ∀ {x : A}, x ∈ T → x ∈ S ⊔ T :=
have : T ≤ S ⊔ T := le_sup_right; (this ·) -- Porting note: need `have` instead of `show`
#align star_subalgebra.mem_sup_right StarSubalgebra.mem_sup_right
theorem mul_mem_sup {S T : StarSubalgebra R A} {x y : A} (hx : x ∈ S) (hy : y ∈ T) :
x * y ∈ S ⊔ T :=
mul_mem (mem_sup_left hx) (mem_sup_right hy)
#align star_subalgebra.mul_mem_sup StarSubalgebra.mul_mem_sup
theorem map_sup (f : A →⋆ₐ[R] B) (S T : StarSubalgebra R A) : map f (S ⊔ T) = map f S ⊔ map f T :=
(StarSubalgebra.gc_map_comap f).l_sup
#align star_subalgebra.map_sup StarSubalgebra.map_sup
@[simp, norm_cast]
theorem coe_inf (S T : StarSubalgebra R A) : (↑(S ⊓ T) : Set A) = (S : Set A) ∩ T :=
rfl
#align star_subalgebra.coe_inf StarSubalgebra.coe_inf
@[simp]
theorem mem_inf {S T : StarSubalgebra R A} {x : A} : x ∈ S ⊓ T ↔ x ∈ S ∧ x ∈ T :=
Iff.rfl
#align star_subalgebra.mem_inf StarSubalgebra.mem_inf
@[simp]
theorem inf_toSubalgebra (S T : StarSubalgebra R A) :
(S ⊓ T).toSubalgebra = S.toSubalgebra ⊓ T.toSubalgebra := by
ext; simp
-- Porting note: Lean can no longer prove this by `rfl`, it times out
#align star_subalgebra.inf_to_subalgebra StarSubalgebra.inf_toSubalgebra
@[simp, norm_cast]
theorem coe_sInf (S : Set (StarSubalgebra R A)) : (↑(sInf S) : Set A) = ⋂ s ∈ S, ↑s :=
sInf_image
#align star_subalgebra.coe_Inf StarSubalgebra.coe_sInf
theorem mem_sInf {S : Set (StarSubalgebra R A)} {x : A} : x ∈ sInf S ↔ ∀ p ∈ S, x ∈ p := by
simp only [← SetLike.mem_coe, coe_sInf, Set.mem_iInter₂]
#align star_subalgebra.mem_Inf StarSubalgebra.mem_sInf
@[simp]
theorem sInf_toSubalgebra (S : Set (StarSubalgebra R A)) :
(sInf S).toSubalgebra = sInf (StarSubalgebra.toSubalgebra '' S) :=
SetLike.coe_injective <| by simp
#align star_subalgebra.Inf_to_subalgebra StarSubalgebra.sInf_toSubalgebra
@[simp, norm_cast]
| Mathlib/Algebra/Star/Subalgebra.lean | 711 | 712 | theorem coe_iInf {ι : Sort*} {S : ι → StarSubalgebra R A} : (↑(⨅ i, S i) : Set A) = ⋂ i, S i := by |
simp [iInf]
|
import Mathlib.Probability.Variance
#align_import probability.moments from "leanprover-community/mathlib"@"85453a2a14be8da64caf15ca50930cf4c6e5d8de"
open MeasureTheory Filter Finset Real
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
variable {Ω ι : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {p : ℕ} {μ : Measure Ω}
def moment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ :=
μ[X ^ p]
#align probability_theory.moment ProbabilityTheory.moment
def centralMoment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := by
have m := fun (x : Ω) => μ[X] -- Porting note: Lean deems `μ[(X - fun x => μ[X]) ^ p]` ambiguous
exact μ[(X - m) ^ p]
#align probability_theory.central_moment ProbabilityTheory.centralMoment
@[simp]
theorem moment_zero (hp : p ≠ 0) : moment 0 p μ = 0 := by
simp only [moment, hp, zero_pow, Ne, not_false_iff, Pi.zero_apply, integral_const,
smul_eq_mul, mul_zero, integral_zero]
#align probability_theory.moment_zero ProbabilityTheory.moment_zero
@[simp]
theorem centralMoment_zero (hp : p ≠ 0) : centralMoment 0 p μ = 0 := by
simp only [centralMoment, hp, Pi.zero_apply, integral_const, smul_eq_mul,
mul_zero, zero_sub, Pi.pow_apply, Pi.neg_apply, neg_zero, zero_pow, Ne, not_false_iff]
#align probability_theory.central_moment_zero ProbabilityTheory.centralMoment_zero
theorem centralMoment_one' [IsFiniteMeasure μ] (h_int : Integrable X μ) :
centralMoment X 1 μ = (1 - (μ Set.univ).toReal) * μ[X] := by
simp only [centralMoment, Pi.sub_apply, pow_one]
rw [integral_sub h_int (integrable_const _)]
simp only [sub_mul, integral_const, smul_eq_mul, one_mul]
#align probability_theory.central_moment_one' ProbabilityTheory.centralMoment_one'
@[simp]
theorem centralMoment_one [IsProbabilityMeasure μ] : centralMoment X 1 μ = 0 := by
by_cases h_int : Integrable X μ
· rw [centralMoment_one' h_int]
simp only [measure_univ, ENNReal.one_toReal, sub_self, zero_mul]
· simp only [centralMoment, Pi.sub_apply, pow_one]
have : ¬Integrable (fun x => X x - integral μ X) μ := by
refine fun h_sub => h_int ?_
have h_add : X = (fun x => X x - integral μ X) + fun _ => integral μ X := by ext1 x; simp
rw [h_add]
exact h_sub.add (integrable_const _)
rw [integral_undef this]
#align probability_theory.central_moment_one ProbabilityTheory.centralMoment_one
theorem centralMoment_two_eq_variance [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
centralMoment X 2 μ = variance X μ := by rw [hX.variance_eq]; rfl
#align probability_theory.central_moment_two_eq_variance ProbabilityTheory.centralMoment_two_eq_variance
section MomentGeneratingFunction
variable {t : ℝ}
def mgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
μ[fun ω => exp (t * X ω)]
#align probability_theory.mgf ProbabilityTheory.mgf
def cgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
log (mgf X μ t)
#align probability_theory.cgf ProbabilityTheory.cgf
@[simp]
theorem mgf_zero_fun : mgf 0 μ t = (μ Set.univ).toReal := by
simp only [mgf, Pi.zero_apply, mul_zero, exp_zero, integral_const, smul_eq_mul, mul_one]
#align probability_theory.mgf_zero_fun ProbabilityTheory.mgf_zero_fun
@[simp]
theorem cgf_zero_fun : cgf 0 μ t = log (μ Set.univ).toReal := by simp only [cgf, mgf_zero_fun]
#align probability_theory.cgf_zero_fun ProbabilityTheory.cgf_zero_fun
@[simp]
theorem mgf_zero_measure : mgf X (0 : Measure Ω) t = 0 := by simp only [mgf, integral_zero_measure]
#align probability_theory.mgf_zero_measure ProbabilityTheory.mgf_zero_measure
@[simp]
theorem cgf_zero_measure : cgf X (0 : Measure Ω) t = 0 := by
simp only [cgf, log_zero, mgf_zero_measure]
#align probability_theory.cgf_zero_measure ProbabilityTheory.cgf_zero_measure
@[simp]
theorem mgf_const' (c : ℝ) : mgf (fun _ => c) μ t = (μ Set.univ).toReal * exp (t * c) := by
simp only [mgf, integral_const, smul_eq_mul]
#align probability_theory.mgf_const' ProbabilityTheory.mgf_const'
-- @[simp] -- Porting note: `simp only` already proves this
theorem mgf_const (c : ℝ) [IsProbabilityMeasure μ] : mgf (fun _ => c) μ t = exp (t * c) := by
simp only [mgf_const', measure_univ, ENNReal.one_toReal, one_mul]
#align probability_theory.mgf_const ProbabilityTheory.mgf_const
@[simp]
theorem cgf_const' [IsFiniteMeasure μ] (hμ : μ ≠ 0) (c : ℝ) :
cgf (fun _ => c) μ t = log (μ Set.univ).toReal + t * c := by
simp only [cgf, mgf_const']
rw [log_mul _ (exp_pos _).ne']
· rw [log_exp _]
· rw [Ne, ENNReal.toReal_eq_zero_iff, Measure.measure_univ_eq_zero]
simp only [hμ, measure_ne_top μ Set.univ, or_self_iff, not_false_iff]
#align probability_theory.cgf_const' ProbabilityTheory.cgf_const'
@[simp]
theorem cgf_const [IsProbabilityMeasure μ] (c : ℝ) : cgf (fun _ => c) μ t = t * c := by
simp only [cgf, mgf_const, log_exp]
#align probability_theory.cgf_const ProbabilityTheory.cgf_const
@[simp]
theorem mgf_zero' : mgf X μ 0 = (μ Set.univ).toReal := by
simp only [mgf, zero_mul, exp_zero, integral_const, smul_eq_mul, mul_one]
#align probability_theory.mgf_zero' ProbabilityTheory.mgf_zero'
-- @[simp] -- Porting note: `simp only` already proves this
theorem mgf_zero [IsProbabilityMeasure μ] : mgf X μ 0 = 1 := by
simp only [mgf_zero', measure_univ, ENNReal.one_toReal]
#align probability_theory.mgf_zero ProbabilityTheory.mgf_zero
@[simp]
| Mathlib/Probability/Moments.lean | 166 | 166 | theorem cgf_zero' : cgf X μ 0 = log (μ Set.univ).toReal := by | simp only [cgf, mgf_zero']
|
import Mathlib.Order.Filter.Basic
#align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
open Set
open Filter
namespace Filter
variable {α β γ δ : Type*} {ι : Sort*}
section Prod
variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β}
protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) :=
f.comap Prod.fst ⊓ g.comap Prod.snd
#align filter.prod Filter.prod
instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where
sprod := Filter.prod
theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g :=
inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht)
#align filter.prod_mem_prod Filter.prod_mem_prod
theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} :
s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by
simp only [SProd.sprod, Filter.prod]
constructor
· rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩
exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩
· rintro ⟨t₁, ht₁, t₂, ht₂, h⟩
exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h
#align filter.mem_prod_iff Filter.mem_prod_iff
@[simp]
theorem prod_mem_prod_iff [f.NeBot] [g.NeBot] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g :=
⟨fun h =>
let ⟨_s', hs', _t', ht', H⟩ := mem_prod_iff.1 h
(prod_subset_prod_iff.1 H).elim
(fun ⟨hs's, ht't⟩ => ⟨mem_of_superset hs' hs's, mem_of_superset ht' ht't⟩) fun h =>
h.elim (fun hs'e => absurd hs'e (nonempty_of_mem hs').ne_empty) fun ht'e =>
absurd ht'e (nonempty_of_mem ht').ne_empty,
fun h => prod_mem_prod h.1 h.2⟩
#align filter.prod_mem_prod_iff Filter.prod_mem_prod_iff
theorem mem_prod_principal {s : Set (α × β)} :
s ∈ f ×ˢ 𝓟 t ↔ { a | ∀ b ∈ t, (a, b) ∈ s } ∈ f := by
rw [← @exists_mem_subset_iff _ f, mem_prod_iff]
refine exists_congr fun u => Iff.rfl.and ⟨?_, fun h => ⟨t, mem_principal_self t, ?_⟩⟩
· rintro ⟨v, v_in, hv⟩ a a_in b b_in
exact hv (mk_mem_prod a_in <| v_in b_in)
· rintro ⟨x, y⟩ ⟨hx, hy⟩
exact h hx y hy
#align filter.mem_prod_principal Filter.mem_prod_principal
theorem mem_prod_top {s : Set (α × β)} :
s ∈ f ×ˢ (⊤ : Filter β) ↔ { a | ∀ b, (a, b) ∈ s } ∈ f := by
rw [← principal_univ, mem_prod_principal]
simp only [mem_univ, forall_true_left]
#align filter.mem_prod_top Filter.mem_prod_top
theorem eventually_prod_principal_iff {p : α × β → Prop} {s : Set β} :
(∀ᶠ x : α × β in f ×ˢ 𝓟 s, p x) ↔ ∀ᶠ x : α in f, ∀ y : β, y ∈ s → p (x, y) := by
rw [eventually_iff, eventually_iff, mem_prod_principal]
simp only [mem_setOf_eq]
#align filter.eventually_prod_principal_iff Filter.eventually_prod_principal_iff
theorem comap_prod (f : α → β × γ) (b : Filter β) (c : Filter γ) :
comap f (b ×ˢ c) = comap (Prod.fst ∘ f) b ⊓ comap (Prod.snd ∘ f) c := by
erw [comap_inf, Filter.comap_comap, Filter.comap_comap]
#align filter.comap_prod Filter.comap_prod
theorem prod_top : f ×ˢ (⊤ : Filter β) = f.comap Prod.fst := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_top, inf_top_eq]
#align filter.prod_top Filter.prod_top
theorem top_prod : (⊤ : Filter α) ×ˢ g = g.comap Prod.snd := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_top, top_inf_eq]
theorem sup_prod (f₁ f₂ : Filter α) (g : Filter β) : (f₁ ⊔ f₂) ×ˢ g = (f₁ ×ˢ g) ⊔ (f₂ ×ˢ g) := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_sup, inf_sup_right, ← Filter.prod, ← Filter.prod]
#align filter.sup_prod Filter.sup_prod
theorem prod_sup (f : Filter α) (g₁ g₂ : Filter β) : f ×ˢ (g₁ ⊔ g₂) = (f ×ˢ g₁) ⊔ (f ×ˢ g₂) := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_sup, inf_sup_left, ← Filter.prod, ← Filter.prod]
#align filter.prod_sup Filter.prod_sup
theorem eventually_prod_iff {p : α × β → Prop} :
(∀ᶠ x in f ×ˢ g, p x) ↔
∃ pa : α → Prop, (∀ᶠ x in f, pa x) ∧ ∃ pb : β → Prop, (∀ᶠ y in g, pb y) ∧
∀ {x}, pa x → ∀ {y}, pb y → p (x, y) := by
simpa only [Set.prod_subset_iff] using @mem_prod_iff α β p f g
#align filter.eventually_prod_iff Filter.eventually_prod_iff
theorem tendsto_fst : Tendsto Prod.fst (f ×ˢ g) f :=
tendsto_inf_left tendsto_comap
#align filter.tendsto_fst Filter.tendsto_fst
theorem tendsto_snd : Tendsto Prod.snd (f ×ˢ g) g :=
tendsto_inf_right tendsto_comap
#align filter.tendsto_snd Filter.tendsto_snd
theorem Tendsto.fst {h : Filter γ} {m : α → β × γ} (H : Tendsto m f (g ×ˢ h)) :
Tendsto (fun a ↦ (m a).1) f g :=
tendsto_fst.comp H
theorem Tendsto.snd {h : Filter γ} {m : α → β × γ} (H : Tendsto m f (g ×ˢ h)) :
Tendsto (fun a ↦ (m a).2) f h :=
tendsto_snd.comp H
theorem Tendsto.prod_mk {h : Filter γ} {m₁ : α → β} {m₂ : α → γ}
(h₁ : Tendsto m₁ f g) (h₂ : Tendsto m₂ f h) : Tendsto (fun x => (m₁ x, m₂ x)) f (g ×ˢ h) :=
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
#align filter.tendsto.prod_mk Filter.Tendsto.prod_mk
theorem tendsto_prod_swap : Tendsto (Prod.swap : α × β → β × α) (f ×ˢ g) (g ×ˢ f) :=
tendsto_snd.prod_mk tendsto_fst
#align filter.tendsto_prod_swap Filter.tendsto_prod_swap
theorem Eventually.prod_inl {la : Filter α} {p : α → Prop} (h : ∀ᶠ x in la, p x) (lb : Filter β) :
∀ᶠ x in la ×ˢ lb, p (x : α × β).1 :=
tendsto_fst.eventually h
#align filter.eventually.prod_inl Filter.Eventually.prod_inl
theorem Eventually.prod_inr {lb : Filter β} {p : β → Prop} (h : ∀ᶠ x in lb, p x) (la : Filter α) :
∀ᶠ x in la ×ˢ lb, p (x : α × β).2 :=
tendsto_snd.eventually h
#align filter.eventually.prod_inr Filter.Eventually.prod_inr
theorem Eventually.prod_mk {la : Filter α} {pa : α → Prop} (ha : ∀ᶠ x in la, pa x) {lb : Filter β}
{pb : β → Prop} (hb : ∀ᶠ y in lb, pb y) : ∀ᶠ p in la ×ˢ lb, pa (p : α × β).1 ∧ pb p.2 :=
(ha.prod_inl lb).and (hb.prod_inr la)
#align filter.eventually.prod_mk Filter.Eventually.prod_mk
theorem EventuallyEq.prod_map {δ} {la : Filter α} {fa ga : α → γ} (ha : fa =ᶠ[la] ga)
{lb : Filter β} {fb gb : β → δ} (hb : fb =ᶠ[lb] gb) :
Prod.map fa fb =ᶠ[la ×ˢ lb] Prod.map ga gb :=
(Eventually.prod_mk ha hb).mono fun _ h => Prod.ext h.1 h.2
#align filter.eventually_eq.prod_map Filter.EventuallyEq.prod_map
theorem EventuallyLE.prod_map {δ} [LE γ] [LE δ] {la : Filter α} {fa ga : α → γ} (ha : fa ≤ᶠ[la] ga)
{lb : Filter β} {fb gb : β → δ} (hb : fb ≤ᶠ[lb] gb) :
Prod.map fa fb ≤ᶠ[la ×ˢ lb] Prod.map ga gb :=
Eventually.prod_mk ha hb
#align filter.eventually_le.prod_map Filter.EventuallyLE.prod_map
theorem Eventually.curry {la : Filter α} {lb : Filter β} {p : α × β → Prop}
(h : ∀ᶠ x in la ×ˢ lb, p x) : ∀ᶠ x in la, ∀ᶠ y in lb, p (x, y) := by
rcases eventually_prod_iff.1 h with ⟨pa, ha, pb, hb, h⟩
exact ha.mono fun a ha => hb.mono fun b hb => h ha hb
#align filter.eventually.curry Filter.Eventually.curry
protected lemma Frequently.uncurry {la : Filter α} {lb : Filter β} {p : α → β → Prop}
(h : ∃ᶠ x in la, ∃ᶠ y in lb, p x y) : ∃ᶠ xy in la ×ˢ lb, p xy.1 xy.2 :=
mt (fun h ↦ by simpa only [not_frequently] using h.curry) h
theorem Eventually.diag_of_prod {p : α × α → Prop} (h : ∀ᶠ i in f ×ˢ f, p i) :
∀ᶠ i in f, p (i, i) := by
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
apply (ht.and hs).mono fun x hx => hst hx.1 hx.2
#align filter.eventually.diag_of_prod Filter.Eventually.diag_of_prod
theorem Eventually.diag_of_prod_left {f : Filter α} {g : Filter γ} {p : (α × α) × γ → Prop} :
(∀ᶠ x in (f ×ˢ f) ×ˢ g, p x) → ∀ᶠ x : α × γ in f ×ˢ g, p ((x.1, x.1), x.2) := by
intro h
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
exact (ht.diag_of_prod.prod_mk hs).mono fun x hx => by simp only [hst hx.1 hx.2]
#align filter.eventually.diag_of_prod_left Filter.Eventually.diag_of_prod_left
theorem Eventually.diag_of_prod_right {f : Filter α} {g : Filter γ} {p : α × γ × γ → Prop} :
(∀ᶠ x in f ×ˢ (g ×ˢ g), p x) → ∀ᶠ x : α × γ in f ×ˢ g, p (x.1, x.2, x.2) := by
intro h
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
exact (ht.prod_mk hs.diag_of_prod).mono fun x hx => by simp only [hst hx.1 hx.2]
#align filter.eventually.diag_of_prod_right Filter.Eventually.diag_of_prod_right
theorem tendsto_diag : Tendsto (fun i => (i, i)) f (f ×ˢ f) :=
tendsto_iff_eventually.mpr fun _ hpr => hpr.diag_of_prod
#align filter.tendsto_diag Filter.tendsto_diag
theorem prod_iInf_left [Nonempty ι] {f : ι → Filter α} {g : Filter β} :
(⨅ i, f i) ×ˢ g = ⨅ i, f i ×ˢ g := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_iInf, iInf_inf]
simp only [Filter.prod, eq_self_iff_true]
#align filter.prod_infi_left Filter.prod_iInf_left
theorem prod_iInf_right [Nonempty ι] {f : Filter α} {g : ι → Filter β} :
(f ×ˢ ⨅ i, g i) = ⨅ i, f ×ˢ g i := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_iInf, inf_iInf]
simp only [Filter.prod, eq_self_iff_true]
#align filter.prod_infi_right Filter.prod_iInf_right
@[mono, gcongr]
theorem prod_mono {f₁ f₂ : Filter α} {g₁ g₂ : Filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) :
f₁ ×ˢ g₁ ≤ f₂ ×ˢ g₂ :=
inf_le_inf (comap_mono hf) (comap_mono hg)
#align filter.prod_mono Filter.prod_mono
@[gcongr]
theorem prod_mono_left (g : Filter β) {f₁ f₂ : Filter α} (hf : f₁ ≤ f₂) : f₁ ×ˢ g ≤ f₂ ×ˢ g :=
Filter.prod_mono hf rfl.le
#align filter.prod_mono_left Filter.prod_mono_left
@[gcongr]
theorem prod_mono_right (f : Filter α) {g₁ g₂ : Filter β} (hf : g₁ ≤ g₂) : f ×ˢ g₁ ≤ f ×ˢ g₂ :=
Filter.prod_mono rfl.le hf
#align filter.prod_mono_right Filter.prod_mono_right
theorem prod_comap_comap_eq.{u, v, w, x} {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : β₁ → α₁} {m₂ : β₂ → α₂} :
comap m₁ f₁ ×ˢ comap m₂ f₂ = comap (fun p : β₁ × β₂ => (m₁ p.1, m₂ p.2)) (f₁ ×ˢ f₂) := by
simp only [SProd.sprod, Filter.prod, comap_comap, comap_inf, (· ∘ ·)]
#align filter.prod_comap_comap_eq Filter.prod_comap_comap_eq
theorem prod_comm' : f ×ˢ g = comap Prod.swap (g ×ˢ f) := by
simp only [SProd.sprod, Filter.prod, comap_comap, (· ∘ ·), inf_comm, Prod.swap, comap_inf]
#align filter.prod_comm' Filter.prod_comm'
theorem prod_comm : f ×ˢ g = map (fun p : β × α => (p.2, p.1)) (g ×ˢ f) := by
rw [prod_comm', ← map_swap_eq_comap_swap]
rfl
#align filter.prod_comm Filter.prod_comm
theorem mem_prod_iff_left {s : Set (α × β)} :
s ∈ f ×ˢ g ↔ ∃ t ∈ f, ∀ᶠ y in g, ∀ x ∈ t, (x, y) ∈ s := by
simp only [mem_prod_iff, prod_subset_iff]
refine exists_congr fun _ => Iff.rfl.and <| Iff.trans ?_ exists_mem_subset_iff
exact exists_congr fun _ => Iff.rfl.and forall₂_swap
theorem mem_prod_iff_right {s : Set (α × β)} :
s ∈ f ×ˢ g ↔ ∃ t ∈ g, ∀ᶠ x in f, ∀ y ∈ t, (x, y) ∈ s := by
rw [prod_comm, mem_map, mem_prod_iff_left]; rfl
@[simp]
| Mathlib/Order/Filter/Prod.lean | 288 | 291 | theorem map_fst_prod (f : Filter α) (g : Filter β) [NeBot g] : map Prod.fst (f ×ˢ g) = f := by |
ext s
simp only [mem_map, mem_prod_iff_left, mem_preimage, eventually_const, ← subset_def,
exists_mem_subset_iff]
|
import Mathlib.Data.Int.Interval
import Mathlib.RingTheory.Binomial
import Mathlib.RingTheory.HahnSeries.PowerSeries
import Mathlib.RingTheory.HahnSeries.Summable
import Mathlib.FieldTheory.RatFunc.AsPolynomial
import Mathlib.RingTheory.Localization.FractionRing
#align_import ring_theory.laurent_series from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
universe u
open scoped Classical
open HahnSeries Polynomial
noncomputable section
abbrev LaurentSeries (R : Type u) [Zero R] :=
HahnSeries ℤ R
#align laurent_series LaurentSeries
variable {R : Type*}
namespace LaurentSeries
namespace RatFunc
section RatFunc
open RatFunc
variable {F : Type u} [Field F] (p q : F[X]) (f g : RatFunc F)
def coeAlgHom (F : Type u) [Field F] : RatFunc F →ₐ[F[X]] LaurentSeries F :=
liftAlgHom (Algebra.ofId _ _) <|
nonZeroDivisors_le_comap_nonZeroDivisors_of_injective _ <|
Polynomial.algebraMap_hahnSeries_injective _
#align ratfunc.coe_alg_hom RatFunc.coeAlgHom
@[coe]
def coeToLaurentSeries_fun {F : Type u} [Field F] : RatFunc F → LaurentSeries F :=
coeAlgHom F
instance coeToLaurentSeries : Coe (RatFunc F) (LaurentSeries F) :=
⟨coeToLaurentSeries_fun⟩
#align ratfunc.coe_to_laurent_series RatFunc.coeToLaurentSeries
theorem coe_def : (f : LaurentSeries F) = coeAlgHom F f :=
rfl
#align ratfunc.coe_def RatFunc.coe_def
theorem coe_num_denom : (f : LaurentSeries F) = f.num / f.denom :=
liftAlgHom_apply _ _ f
#align ratfunc.coe_num_denom RatFunc.coe_num_denom
theorem coe_injective : Function.Injective ((↑) : RatFunc F → LaurentSeries F) :=
liftAlgHom_injective _ (Polynomial.algebraMap_hahnSeries_injective _)
#align ratfunc.coe_injective RatFunc.coe_injective
-- Porting note: removed the `norm_cast` tag:
-- `norm_cast: badly shaped lemma, rhs can't start with coe `↑(coeAlgHom F) f`
@[simp]
theorem coe_apply : coeAlgHom F f = f :=
rfl
#align ratfunc.coe_apply RatFunc.coe_apply
theorem coe_coe (P : Polynomial F) : (P : LaurentSeries F) = (P : RatFunc F) := by
simp only [coePolynomial, coe_def, AlgHom.commutes, algebraMap_hahnSeries_apply]
@[simp, norm_cast]
theorem coe_zero : ((0 : RatFunc F) : LaurentSeries F) = 0 :=
(coeAlgHom F).map_zero
#align ratfunc.coe_zero RatFunc.coe_zero
theorem coe_ne_zero {f : Polynomial F} (hf : f ≠ 0) : (↑f : PowerSeries F) ≠ 0 := by
simp only [ne_eq, Polynomial.coe_eq_zero_iff, hf, not_false_eq_true]
@[simp, norm_cast]
theorem coe_one : ((1 : RatFunc F) : LaurentSeries F) = 1 :=
(coeAlgHom F).map_one
#align ratfunc.coe_one RatFunc.coe_one
@[simp, norm_cast]
theorem coe_add : ((f + g : RatFunc F) : LaurentSeries F) = f + g :=
(coeAlgHom F).map_add _ _
#align ratfunc.coe_add RatFunc.coe_add
@[simp, norm_cast]
theorem coe_sub : ((f - g : RatFunc F) : LaurentSeries F) = f - g :=
(coeAlgHom F).map_sub _ _
#align ratfunc.coe_sub RatFunc.coe_sub
@[simp, norm_cast]
theorem coe_neg : ((-f : RatFunc F) : LaurentSeries F) = -f :=
(coeAlgHom F).map_neg _
#align ratfunc.coe_neg RatFunc.coe_neg
@[simp, norm_cast]
theorem coe_mul : ((f * g : RatFunc F) : LaurentSeries F) = f * g :=
(coeAlgHom F).map_mul _ _
#align ratfunc.coe_mul RatFunc.coe_mul
@[simp, norm_cast]
theorem coe_pow (n : ℕ) : ((f ^ n : RatFunc F) : LaurentSeries F) = (f : LaurentSeries F) ^ n :=
(coeAlgHom F).map_pow _ _
#align ratfunc.coe_pow RatFunc.coe_pow
@[simp, norm_cast]
theorem coe_div :
((f / g : RatFunc F) : LaurentSeries F) = (f : LaurentSeries F) / (g : LaurentSeries F) :=
map_div₀ (coeAlgHom F) _ _
#align ratfunc.coe_div RatFunc.coe_div
@[simp, norm_cast]
theorem coe_C (r : F) : ((RatFunc.C r : RatFunc F) : LaurentSeries F) = HahnSeries.C r := by
rw [coe_num_denom, num_C, denom_C, Polynomial.coe_C, -- Porting note: removed `coe_C`
Polynomial.coe_one,
PowerSeries.coe_one, div_one]
simp only [algebraMap_eq_C, ofPowerSeries_C, C_apply] -- Porting note: added
set_option linter.uppercaseLean3 false in
#align ratfunc.coe_C RatFunc.coe_C
-- TODO: generalize over other modules
@[simp, norm_cast]
theorem coe_smul (r : F) : ((r • f : RatFunc F) : LaurentSeries F) = r • (f : LaurentSeries F) := by
rw [RatFunc.smul_eq_C_mul, ← C_mul_eq_smul, coe_mul, coe_C]
#align ratfunc.coe_smul RatFunc.coe_smul
-- Porting note: removed `norm_cast` because "badly shaped lemma, rhs can't start with coe"
-- even though `single 1 1` is a bundled function application, not a "real" coercion
@[simp, nolint simpNF] -- Added `simpNF` to avoid timeout #8386
theorem coe_X : ((X : RatFunc F) : LaurentSeries F) = single 1 1 := by
rw [coe_num_denom, num_X, denom_X, Polynomial.coe_X, -- Porting note: removed `coe_C`
Polynomial.coe_one,
PowerSeries.coe_one, div_one]
simp only [ofPowerSeries_X] -- Porting note: added
set_option linter.uppercaseLean3 false in
#align ratfunc.coe_X RatFunc.coe_X
| Mathlib/RingTheory/LaurentSeries.lean | 394 | 400 | theorem single_one_eq_pow {R : Type _} [Ring R] (n : ℕ) :
single (n : ℤ) (1 : R) = single (1 : ℤ) 1 ^ n := by |
induction' n with n h_ind
· simp only [Nat.cast_zero, pow_zero]
rfl
· rw [← Int.ofNat_add_one_out, pow_succ', ← h_ind, HahnSeries.single_mul_single, one_mul,
add_comm]
|
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
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 727 | 728 | 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]
|
import Mathlib.FieldTheory.PrimitiveElement
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly
import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.FieldTheory.Galois
#align_import ring_theory.norm from "leanprover-community/mathlib"@"fecd3520d2a236856f254f27714b80dcfe28ea57"
universe u v w
variable {R S T : Type*} [CommRing R] [Ring S]
variable [Algebra R S]
variable {K L F : Type*} [Field K] [Field L] [Field F]
variable [Algebra K L] [Algebra K F]
variable {ι : Type w}
open FiniteDimensional
open LinearMap
open Matrix Polynomial
open scoped Matrix
namespace Algebra
variable (R)
noncomputable def norm : S →* R :=
LinearMap.det.comp (lmul R S).toRingHom.toMonoidHom
#align algebra.norm Algebra.norm
theorem norm_apply (x : S) : norm R x = LinearMap.det (lmul R S x) := rfl
#align algebra.norm_apply Algebra.norm_apply
theorem norm_eq_one_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) (x : S) :
norm R x = 1 := by rw [norm_apply, LinearMap.det]; split_ifs <;> trivial
#align algebra.norm_eq_one_of_not_exists_basis Algebra.norm_eq_one_of_not_exists_basis
variable {R}
theorem norm_eq_one_of_not_module_finite (h : ¬Module.Finite R S) (x : S) : norm R x = 1 := by
refine norm_eq_one_of_not_exists_basis _ (mt ?_ h) _
rintro ⟨s, ⟨b⟩⟩
exact Module.Finite.of_basis b
#align algebra.norm_eq_one_of_not_module_finite Algebra.norm_eq_one_of_not_module_finite
-- Can't be a `simp` lemma because it depends on a choice of basis
theorem norm_eq_matrix_det [Fintype ι] [DecidableEq ι] (b : Basis ι R S) (s : S) :
norm R s = Matrix.det (Algebra.leftMulMatrix b s) := by
rw [norm_apply, ← LinearMap.det_toMatrix b, ← toMatrix_lmul_eq]; rfl
#align algebra.norm_eq_matrix_det Algebra.norm_eq_matrix_det
theorem norm_algebraMap_of_basis [Fintype ι] (b : Basis ι R S) (x : R) :
norm R (algebraMap R S x) = x ^ Fintype.card ι := by
haveI := Classical.decEq ι
rw [norm_apply, ← det_toMatrix b, lmul_algebraMap]
convert @det_diagonal _ _ _ _ _ fun _ : ι => x
· ext (i j); rw [toMatrix_lsmul]
· rw [Finset.prod_const, Finset.card_univ]
#align algebra.norm_algebra_map_of_basis Algebra.norm_algebraMap_of_basis
@[simp]
protected theorem norm_algebraMap {L : Type*} [Ring L] [Algebra K L] (x : K) :
norm K (algebraMap K L x) = x ^ finrank K L := by
by_cases H : ∃ s : Finset L, Nonempty (Basis s K L)
· rw [norm_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some]
· rw [norm_eq_one_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis, pow_zero]
rintro ⟨s, ⟨b⟩⟩
exact H ⟨s, ⟨b⟩⟩
#align algebra.norm_algebra_map Algebra.norm_algebraMap
open IntermediateField
variable (K)
theorem norm_eq_norm_adjoin [FiniteDimensional K L] [IsSeparable K L] (x : L) :
norm K x = norm K (AdjoinSimple.gen K x) ^ finrank K⟮x⟯ L := by
letI := isSeparable_tower_top_of_isSeparable K K⟮x⟯ L
let pbL := Field.powerBasisOfFiniteOfSeparable K⟮x⟯ L
let pbx := IntermediateField.adjoin.powerBasis (IsSeparable.isIntegral K x)
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [← AdjoinSimple.algebraMap_gen K x, norm_eq_matrix_det (pbx.basis.smul pbL.basis) _,
smul_leftMulMatrix_algebraMap, det_blockDiagonal, norm_eq_matrix_det pbx.basis]
simp only [Finset.card_fin, Finset.prod_const]
congr
rw [← PowerBasis.finrank, AdjoinSimple.algebraMap_gen K x]
#align algebra.norm_eq_norm_adjoin Algebra.norm_eq_norm_adjoin
variable {K}
section EqProdEmbeddings
open IntermediateField IntermediateField.AdjoinSimple Polynomial
variable (F) (E : Type*) [Field E] [Algebra K E]
theorem norm_eq_prod_embeddings_gen [Algebra R F] (pb : PowerBasis R S)
(hE : (minpoly R pb.gen).Splits (algebraMap R F)) (hfx : (minpoly R pb.gen).Separable) :
algebraMap R F (norm R pb.gen) =
(@Finset.univ _ (PowerBasis.AlgHom.fintype pb)).prod fun σ => σ pb.gen := by
letI := Classical.decEq F
rw [PowerBasis.norm_gen_eq_prod_roots pb hE]
rw [@Fintype.prod_equiv (S →ₐ[R] F) _ _ (PowerBasis.AlgHom.fintype pb) _ _ pb.liftEquiv'
(fun σ => σ pb.gen) (fun x => x) ?_]
· rw [Finset.prod_mem_multiset, Finset.prod_eq_multiset_prod, Multiset.toFinset_val,
Multiset.dedup_eq_self.mpr, Multiset.map_id]
· exact nodup_roots hfx.map
· intro x; rfl
· intro σ; simp only [PowerBasis.liftEquiv'_apply_coe]
#align algebra.norm_eq_prod_embeddings_gen Algebra.norm_eq_prod_embeddings_gen
theorem norm_eq_prod_roots [IsSeparable K L] [FiniteDimensional K L] {x : L}
(hF : (minpoly K x).Splits (algebraMap K F)) :
algebraMap K F (norm K x) =
((minpoly K x).aroots F).prod ^ finrank K⟮x⟯ L := by
rw [norm_eq_norm_adjoin K x, map_pow, IntermediateField.AdjoinSimple.norm_gen_eq_prod_roots _ hF]
#align algebra.norm_eq_prod_roots Algebra.norm_eq_prod_roots
theorem prod_embeddings_eq_finrank_pow [Algebra L F] [IsScalarTower K L F] [IsAlgClosed E]
[IsSeparable K F] [FiniteDimensional K F] (pb : PowerBasis K L) :
∏ σ : F →ₐ[K] E, σ (algebraMap L F pb.gen) =
((@Finset.univ _ (PowerBasis.AlgHom.fintype pb)).prod
fun σ : L →ₐ[K] E => σ pb.gen) ^ finrank L F := by
haveI : FiniteDimensional L F := FiniteDimensional.right K L F
haveI : IsSeparable L F := isSeparable_tower_top_of_isSeparable K L F
letI : Fintype (L →ₐ[K] E) := PowerBasis.AlgHom.fintype pb
rw [Fintype.prod_equiv algHomEquivSigma (fun σ : F →ₐ[K] E => _) fun σ => σ.1 pb.gen,
← Finset.univ_sigma_univ, Finset.prod_sigma, ← Finset.prod_pow]
· refine Finset.prod_congr rfl fun σ _ => ?_
letI : Algebra L E := σ.toRingHom.toAlgebra
simp_rw [Finset.prod_const]
congr
exact AlgHom.card L F E
· intro σ
simp only [algHomEquivSigma, Equiv.coe_fn_mk, AlgHom.restrictDomain, AlgHom.comp_apply,
IsScalarTower.coe_toAlgHom']
#align algebra.prod_embeddings_eq_finrank_pow Algebra.prod_embeddings_eq_finrank_pow
variable (K)
theorem norm_eq_prod_embeddings [FiniteDimensional K L] [IsSeparable K L] [IsAlgClosed E] (x : L) :
algebraMap K E (norm K x) = ∏ σ : L →ₐ[K] E, σ x := by
have hx := IsSeparable.isIntegral K x
rw [norm_eq_norm_adjoin K x, RingHom.map_pow, ← adjoin.powerBasis_gen hx,
norm_eq_prod_embeddings_gen E (adjoin.powerBasis hx) (IsAlgClosed.splits_codomain _)]
· exact (prod_embeddings_eq_finrank_pow L (L := K⟮x⟯) E (adjoin.powerBasis hx)).symm
· haveI := isSeparable_tower_bot_of_isSeparable K K⟮x⟯ L
exact IsSeparable.separable K _
#align algebra.norm_eq_prod_embeddings Algebra.norm_eq_prod_embeddings
| Mathlib/RingTheory/Norm.lean | 302 | 310 | theorem norm_eq_prod_automorphisms [FiniteDimensional K L] [IsGalois K L] (x : L) :
algebraMap K L (norm K x) = ∏ σ : L ≃ₐ[K] L, σ x := by |
apply NoZeroSMulDivisors.algebraMap_injective L (AlgebraicClosure L)
rw [map_prod (algebraMap L (AlgebraicClosure L))]
rw [← Fintype.prod_equiv (Normal.algHomEquivAut K (AlgebraicClosure L) L)]
· rw [← norm_eq_prod_embeddings _ _ x, ← IsScalarTower.algebraMap_apply]
· intro σ
simp only [Normal.algHomEquivAut, AlgHom.restrictNormal', Equiv.coe_fn_mk,
AlgEquiv.coe_ofBijective, AlgHom.restrictNormal_commutes, id.map_eq_id, RingHom.id_apply]
|
import Mathlib.Topology.Order
#align_import topology.maps from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Set Filter Function
open TopologicalSpace Topology Filter
variable {X : Type*} {Y : Type*} {Z : Type*} {ι : Type*} {f : X → Y} {g : Y → Z}
section Inducing
variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z]
theorem inducing_induced (f : X → Y) : @Inducing X Y (TopologicalSpace.induced f ‹_›) _ f :=
@Inducing.mk _ _ (TopologicalSpace.induced f ‹_›) _ _ rfl
theorem inducing_id : Inducing (@id X) :=
⟨induced_id.symm⟩
#align inducing_id inducing_id
protected theorem Inducing.comp (hg : Inducing g) (hf : Inducing f) :
Inducing (g ∘ f) :=
⟨by rw [hf.induced, hg.induced, induced_compose]⟩
#align inducing.comp Inducing.comp
theorem Inducing.of_comp_iff (hg : Inducing g) :
Inducing (g ∘ f) ↔ Inducing f := by
refine ⟨fun h ↦ ?_, hg.comp⟩
rw [inducing_iff, hg.induced, induced_compose, h.induced]
#align inducing.inducing_iff Inducing.of_comp_iff
theorem inducing_of_inducing_compose
(hf : Continuous f) (hg : Continuous g) (hgf : Inducing (g ∘ f)) : Inducing f :=
⟨le_antisymm (by rwa [← continuous_iff_le_induced])
(by
rw [hgf.induced, ← induced_compose]
exact induced_mono hg.le_induced)⟩
#align inducing_of_inducing_compose inducing_of_inducing_compose
theorem inducing_iff_nhds : Inducing f ↔ ∀ x, 𝓝 x = comap f (𝓝 (f x)) :=
(inducing_iff _).trans (induced_iff_nhds_eq f)
#align inducing_iff_nhds inducing_iff_nhds
namespace Inducing
theorem nhds_eq_comap (hf : Inducing f) : ∀ x : X, 𝓝 x = comap f (𝓝 <| f x) :=
inducing_iff_nhds.1 hf
#align inducing.nhds_eq_comap Inducing.nhds_eq_comap
theorem basis_nhds {p : ι → Prop} {s : ι → Set Y} (hf : Inducing f) {x : X}
(h_basis : (𝓝 (f x)).HasBasis p s) : (𝓝 x).HasBasis p (preimage f ∘ s) :=
hf.nhds_eq_comap x ▸ h_basis.comap f
theorem nhdsSet_eq_comap (hf : Inducing f) (s : Set X) :
𝓝ˢ s = comap f (𝓝ˢ (f '' s)) := by
simp only [nhdsSet, sSup_image, comap_iSup, hf.nhds_eq_comap, iSup_image]
#align inducing.nhds_set_eq_comap Inducing.nhdsSet_eq_comap
theorem map_nhds_eq (hf : Inducing f) (x : X) : (𝓝 x).map f = 𝓝[range f] f x :=
hf.induced.symm ▸ map_nhds_induced_eq x
#align inducing.map_nhds_eq Inducing.map_nhds_eq
theorem map_nhds_of_mem (hf : Inducing f) (x : X) (h : range f ∈ 𝓝 (f x)) :
(𝓝 x).map f = 𝓝 (f x) :=
hf.induced.symm ▸ map_nhds_induced_of_mem h
#align inducing.map_nhds_of_mem Inducing.map_nhds_of_mem
-- Porting note (#10756): new lemma
theorem mapClusterPt_iff (hf : Inducing f) {x : X} {l : Filter X} :
MapClusterPt (f x) l f ↔ ClusterPt x l := by
delta MapClusterPt ClusterPt
rw [← Filter.push_pull', ← hf.nhds_eq_comap, map_neBot_iff]
theorem image_mem_nhdsWithin (hf : Inducing f) {x : X} {s : Set X} (hs : s ∈ 𝓝 x) :
f '' s ∈ 𝓝[range f] f x :=
hf.map_nhds_eq x ▸ image_mem_map hs
#align inducing.image_mem_nhds_within Inducing.image_mem_nhdsWithin
theorem tendsto_nhds_iff {f : ι → Y} {l : Filter ι} {y : Y} (hg : Inducing g) :
Tendsto f l (𝓝 y) ↔ Tendsto (g ∘ f) l (𝓝 (g y)) := by
rw [hg.nhds_eq_comap, tendsto_comap_iff]
#align inducing.tendsto_nhds_iff Inducing.tendsto_nhds_iff
theorem continuousAt_iff (hg : Inducing g) {x : X} :
ContinuousAt f x ↔ ContinuousAt (g ∘ f) x :=
hg.tendsto_nhds_iff
#align inducing.continuous_at_iff Inducing.continuousAt_iff
| Mathlib/Topology/Maps.lean | 132 | 134 | theorem continuous_iff (hg : Inducing g) :
Continuous f ↔ Continuous (g ∘ f) := by |
simp_rw [continuous_iff_continuousAt, hg.continuousAt_iff]
|
import Mathlib.Algebra.MonoidAlgebra.Basic
import Mathlib.LinearAlgebra.Basis.VectorSpace
import Mathlib.RingTheory.SimpleModule
#align_import representation_theory.maschke from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe u v w
noncomputable section
open Module MonoidAlgebra
end
namespace MonoidAlgebra
-- Now we work over a `[Field k]`.
variable {k : Type u} [Field k] {G : Type u} [Fintype G] [Invertible (Fintype.card G : k)]
variable [Group G]
variable {V : Type u} [AddCommGroup V] [Module (MonoidAlgebra k G) V]
variable {W : Type u} [AddCommGroup W] [Module (MonoidAlgebra k G) W]
| Mathlib/RepresentationTheory/Maschke.lean | 150 | 161 | theorem exists_leftInverse_of_injective (f : V →ₗ[MonoidAlgebra k G] W)
(hf : LinearMap.ker f = ⊥) :
∃ g : W →ₗ[MonoidAlgebra k G] V, g.comp f = LinearMap.id := by |
let A := MonoidAlgebra k G
letI : Module k W := .compHom W (algebraMap k A)
letI : Module k V := .compHom V (algebraMap k A)
have := IsScalarTower.of_compHom k A W
have := IsScalarTower.of_compHom k A V
obtain ⟨φ, hφ⟩ := (f.restrictScalars k).exists_leftInverse_of_injective <| by
simp only [hf, Submodule.restrictScalars_bot, LinearMap.ker_restrictScalars]
refine ⟨φ.equivariantProjection G, DFunLike.ext _ _ ?_⟩
exact φ.equivariantProjection_condition G _ <| DFunLike.congr_fun hφ
|
import Mathlib.Algebra.Polynomial.Roots
import Mathlib.Tactic.IntervalCases
namespace Polynomial
section IsDomain
variable {R : Type*} [CommRing R] [IsDomain R]
| Mathlib/Algebra/Polynomial/SpecificDegree.lean | 22 | 34 | theorem Monic.irreducible_iff_roots_eq_zero_of_degree_le_three {p : R[X]} (hp : p.Monic)
(hp2 : 2 ≤ p.natDegree) (hp3 : p.natDegree ≤ 3) : Irreducible p ↔ p.roots = 0 := by |
have hp0 : p ≠ 0 := hp.ne_zero
have hp1 : p ≠ 1 := by rintro rfl; rw [natDegree_one] at hp2; cases hp2
rw [hp.irreducible_iff_lt_natDegree_lt hp1]
simp_rw [show p.natDegree / 2 = 1 from
(Nat.div_le_div_right hp3).antisymm
(by apply Nat.div_le_div_right (c := 2) hp2),
show Finset.Ioc 0 1 = {1} from rfl,
Finset.mem_singleton, Multiset.eq_zero_iff_forall_not_mem, mem_roots hp0, ← dvd_iff_isRoot]
refine ⟨fun h r ↦ h _ (monic_X_sub_C r) (natDegree_X_sub_C r), fun h q hq hq1 ↦ ?_⟩
rw [hq.eq_X_add_C hq1, ← sub_neg_eq_add, ← C_neg]
apply h
|
import Mathlib.CategoryTheory.Preadditive.Injective
import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex
import Mathlib.Algebra.Homology.QuasiIso
#align_import category_theory.preadditive.injective_resolution from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7"
noncomputable section
universe v u
namespace CategoryTheory
open Limits HomologicalComplex CochainComplex
variable {C : Type u} [Category.{v} C] [HasZeroObject C] [HasZeroMorphisms C]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure InjectiveResolution (Z : C) where
cocomplex : CochainComplex C ℕ
injective : ∀ n, Injective (cocomplex.X n) := by infer_instance
[hasHomology : ∀ i, cocomplex.HasHomology i]
ι : (single₀ C).obj Z ⟶ cocomplex
quasiIso : QuasiIso ι := by infer_instance
set_option linter.uppercaseLean3 false in
#align category_theory.InjectiveResolution CategoryTheory.InjectiveResolution
open InjectiveResolution in
attribute [instance] injective hasHomology InjectiveResolution.quasiIso
class HasInjectiveResolution (Z : C) : Prop where
out : Nonempty (InjectiveResolution Z)
#align category_theory.has_injective_resolution CategoryTheory.HasInjectiveResolution
attribute [inherit_doc HasInjectiveResolution] HasInjectiveResolution.out
section
variable (C)
class HasInjectiveResolutions : Prop where
out : ∀ Z : C, HasInjectiveResolution Z
#align category_theory.has_injective_resolutions CategoryTheory.HasInjectiveResolutions
attribute [instance 100] HasInjectiveResolutions.out
end
namespace InjectiveResolution
variable {Z : C} (I : InjectiveResolution Z)
lemma cocomplex_exactAt_succ (n : ℕ) :
I.cocomplex.ExactAt (n + 1) := by
rw [← quasiIsoAt_iff_exactAt I.ι (n + 1) (exactAt_succ_single_obj _ _)]
infer_instance
lemma exact_succ (n : ℕ):
(ShortComplex.mk _ _ (I.cocomplex.d_comp_d n (n + 1) (n + 2))).Exact :=
(HomologicalComplex.exactAt_iff' _ n (n + 1) (n + 2) (by simp)
(by simp only [CochainComplex.next]; rfl)).1 (I.cocomplex_exactAt_succ n)
@[simp]
theorem ι_f_succ (n : ℕ) : I.ι.f (n + 1) = 0 :=
(isZero_single_obj_X _ _ _ _ (by simp)).eq_of_src _ _
set_option linter.uppercaseLean3 false in
#align category_theory.InjectiveResolution.ι_f_succ CategoryTheory.InjectiveResolution.ι_f_succ
-- Porting note (#10618): removed @[simp] simp can prove this
@[reassoc]
theorem ι_f_zero_comp_complex_d :
I.ι.f 0 ≫ I.cocomplex.d 0 1 = 0 := by
simp
set_option linter.uppercaseLean3 false in
#align category_theory.InjectiveResolution.ι_f_zero_comp_complex_d CategoryTheory.InjectiveResolution.ι_f_zero_comp_complex_d
-- Porting note (#10618): removed @[simp] simp can prove this
| Mathlib/CategoryTheory/Preadditive/InjectiveResolution.lean | 111 | 113 | theorem complex_d_comp (n : ℕ) :
I.cocomplex.d n (n + 1) ≫ I.cocomplex.d (n + 1) (n + 2) = 0 := by |
simp
|
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
| Mathlib/LinearAlgebra/Matrix/ToLinearEquiv.lean | 114 | 132 | 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
|
import Mathlib.Analysis.SpecialFunctions.Complex.Log
#align_import analysis.special_functions.pow.complex from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8"
open scoped Classical
open Real Topology Filter ComplexConjugate Finset Set
namespace Complex
noncomputable def cpow (x y : ℂ) : ℂ :=
if x = 0 then if y = 0 then 1 else 0 else exp (log x * y)
#align complex.cpow Complex.cpow
noncomputable instance : Pow ℂ ℂ :=
⟨cpow⟩
@[simp]
theorem cpow_eq_pow (x y : ℂ) : cpow x y = x ^ y :=
rfl
#align complex.cpow_eq_pow Complex.cpow_eq_pow
theorem cpow_def (x y : ℂ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) :=
rfl
#align complex.cpow_def Complex.cpow_def
theorem cpow_def_of_ne_zero {x : ℂ} (hx : x ≠ 0) (y : ℂ) : x ^ y = exp (log x * y) :=
if_neg hx
#align complex.cpow_def_of_ne_zero Complex.cpow_def_of_ne_zero
@[simp]
theorem cpow_zero (x : ℂ) : x ^ (0 : ℂ) = 1 := by simp [cpow_def]
#align complex.cpow_zero Complex.cpow_zero
@[simp]
theorem cpow_eq_zero_iff (x y : ℂ) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
simp only [cpow_def]
split_ifs <;> simp [*, exp_ne_zero]
#align complex.cpow_eq_zero_iff Complex.cpow_eq_zero_iff
@[simp]
theorem zero_cpow {x : ℂ} (h : x ≠ 0) : (0 : ℂ) ^ x = 0 := by simp [cpow_def, *]
#align complex.zero_cpow Complex.zero_cpow
| Mathlib/Analysis/SpecialFunctions/Pow/Complex.lean | 58 | 72 | theorem zero_cpow_eq_iff {x : ℂ} {a : ℂ} : (0 : ℂ) ^ x = a ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by |
constructor
· intro hyp
simp only [cpow_def, eq_self_iff_true, if_true] at hyp
by_cases h : x = 0
· subst h
simp only [if_true, eq_self_iff_true] at hyp
right
exact ⟨rfl, hyp.symm⟩
· rw [if_neg h] at hyp
left
exact ⟨h, hyp.symm⟩
· rintro (⟨h, rfl⟩ | ⟨rfl, rfl⟩)
· exact zero_cpow h
· exact cpow_zero _
|
import Mathlib.Algebra.Polynomial.Splits
#align_import algebra.cubic_discriminant from "leanprover-community/mathlib"@"930133160e24036d5242039fe4972407cd4f1222"
noncomputable section
@[ext]
structure Cubic (R : Type*) where
(a b c d : R)
#align cubic Cubic
namespace Cubic
open Cubic Polynomial
open Polynomial
variable {R S F K : Type*}
instance [Inhabited R] : Inhabited (Cubic R) :=
⟨⟨default, default, default, default⟩⟩
instance [Zero R] : Zero (Cubic R) :=
⟨⟨0, 0, 0, 0⟩⟩
section Basic
variable {P Q : Cubic R} {a b c d a' b' c' d' : R} [Semiring R]
def toPoly (P : Cubic R) : R[X] :=
C P.a * X ^ 3 + C P.b * X ^ 2 + C P.c * X + C P.d
#align cubic.to_poly Cubic.toPoly
theorem C_mul_prod_X_sub_C_eq [CommRing S] {w x y z : S} :
C w * (X - C x) * (X - C y) * (X - C z) =
toPoly ⟨w, w * -(x + y + z), w * (x * y + x * z + y * z), w * -(x * y * z)⟩ := by
simp only [toPoly, C_neg, C_add, C_mul]
ring1
set_option linter.uppercaseLean3 false in
#align cubic.C_mul_prod_X_sub_C_eq Cubic.C_mul_prod_X_sub_C_eq
theorem prod_X_sub_C_eq [CommRing S] {x y z : S} :
(X - C x) * (X - C y) * (X - C z) =
toPoly ⟨1, -(x + y + z), x * y + x * z + y * z, -(x * y * z)⟩ := by
rw [← one_mul <| X - C x, ← C_1, C_mul_prod_X_sub_C_eq, one_mul, one_mul, one_mul]
set_option linter.uppercaseLean3 false in
#align cubic.prod_X_sub_C_eq Cubic.prod_X_sub_C_eq
section Degree
@[simps]
def equiv : Cubic R ≃ { p : R[X] // p.degree ≤ 3 } where
toFun P := ⟨P.toPoly, degree_cubic_le⟩
invFun f := ⟨coeff f 3, coeff f 2, coeff f 1, coeff f 0⟩
left_inv P := by ext <;> simp only [Subtype.coe_mk, coeffs]
right_inv f := by
-- Porting note: Added `simp only [Nat.zero_eq, Nat.succ_eq_add_one] <;> ring_nf`
-- There's probably a better way to do this.
ext (_ | _ | _ | _ | n) <;> simp only [Nat.zero_eq, Nat.succ_eq_add_one] <;> ring_nf
<;> try simp only [coeffs]
have h3 : 3 < 4 + n := by linarith only
rw [coeff_eq_zero h3,
(degree_le_iff_coeff_zero (f : R[X]) 3).mp f.2 _ <| WithBot.coe_lt_coe.mpr (by exact h3)]
#align cubic.equiv Cubic.equiv
@[simp]
theorem degree_of_a_ne_zero (ha : P.a ≠ 0) : P.toPoly.degree = 3 :=
degree_cubic ha
#align cubic.degree_of_a_ne_zero Cubic.degree_of_a_ne_zero
@[simp]
theorem degree_of_a_ne_zero' (ha : a ≠ 0) : (toPoly ⟨a, b, c, d⟩).degree = 3 :=
degree_of_a_ne_zero ha
#align cubic.degree_of_a_ne_zero' Cubic.degree_of_a_ne_zero'
theorem degree_of_a_eq_zero (ha : P.a = 0) : P.toPoly.degree ≤ 2 := by
simpa only [of_a_eq_zero ha] using degree_quadratic_le
#align cubic.degree_of_a_eq_zero Cubic.degree_of_a_eq_zero
theorem degree_of_a_eq_zero' : (toPoly ⟨0, b, c, d⟩).degree ≤ 2 :=
degree_of_a_eq_zero rfl
#align cubic.degree_of_a_eq_zero' Cubic.degree_of_a_eq_zero'
@[simp]
theorem degree_of_b_ne_zero (ha : P.a = 0) (hb : P.b ≠ 0) : P.toPoly.degree = 2 := by
rw [of_a_eq_zero ha, degree_quadratic hb]
#align cubic.degree_of_b_ne_zero Cubic.degree_of_b_ne_zero
@[simp]
theorem degree_of_b_ne_zero' (hb : b ≠ 0) : (toPoly ⟨0, b, c, d⟩).degree = 2 :=
degree_of_b_ne_zero rfl hb
#align cubic.degree_of_b_ne_zero' Cubic.degree_of_b_ne_zero'
theorem degree_of_b_eq_zero (ha : P.a = 0) (hb : P.b = 0) : P.toPoly.degree ≤ 1 := by
simpa only [of_b_eq_zero ha hb] using degree_linear_le
#align cubic.degree_of_b_eq_zero Cubic.degree_of_b_eq_zero
theorem degree_of_b_eq_zero' : (toPoly ⟨0, 0, c, d⟩).degree ≤ 1 :=
degree_of_b_eq_zero rfl rfl
#align cubic.degree_of_b_eq_zero' Cubic.degree_of_b_eq_zero'
@[simp]
| Mathlib/Algebra/CubicDiscriminant.lean | 337 | 338 | theorem degree_of_c_ne_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c ≠ 0) : P.toPoly.degree = 1 := by |
rw [of_b_eq_zero ha hb, degree_linear hc]
|
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent
import Mathlib.Analysis.Normed.Group.Lemmas
import Mathlib.Analysis.NormedSpace.AddTorsor
import Mathlib.Analysis.NormedSpace.AffineIsometry
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
import Mathlib.Analysis.NormedSpace.RieszLemma
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Topology.Algebra.Module.FiniteDimension
import Mathlib.Topology.Algebra.InfiniteSum.Module
import Mathlib.Topology.Instances.Matrix
#align_import analysis.normed_space.finite_dimension from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057"
universe u v w x
noncomputable section
open Set FiniteDimensional TopologicalSpace Filter Asymptotics Classical Topology
NNReal Metric
section CompleteField
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type w} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type x}
[AddCommGroup F'] [Module 𝕜 F'] [TopologicalSpace F'] [TopologicalAddGroup F']
[ContinuousSMul 𝕜 F'] [CompleteSpace 𝕜]
theorem ContinuousLinearMap.continuous_det : Continuous fun f : E →L[𝕜] E => f.det := by
change Continuous fun f : E →L[𝕜] E => LinearMap.det (f : E →ₗ[𝕜] E)
-- Porting note: this could be easier with `det_cases`
by_cases h : ∃ s : Finset E, Nonempty (Basis (↥s) 𝕜 E)
· rcases h with ⟨s, ⟨b⟩⟩
haveI : FiniteDimensional 𝕜 E := FiniteDimensional.of_fintype_basis b
simp_rw [LinearMap.det_eq_det_toMatrix_of_finset b]
refine Continuous.matrix_det ?_
exact
((LinearMap.toMatrix b b).toLinearMap.comp
(ContinuousLinearMap.coeLM 𝕜)).continuous_of_finiteDimensional
· -- Porting note: was `unfold LinearMap.det`
rw [LinearMap.det_def]
simpa only [h, MonoidHom.one_apply, dif_neg, not_false_iff] using continuous_const
#align continuous_linear_map.continuous_det ContinuousLinearMap.continuous_det
irreducible_def lipschitzExtensionConstant (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E']
[FiniteDimensional ℝ E'] : ℝ≥0 :=
let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv
max (‖A.symm.toContinuousLinearMap‖₊ * ‖A.toContinuousLinearMap‖₊) 1
#align lipschitz_extension_constant lipschitzExtensionConstant
theorem lipschitzExtensionConstant_pos (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E']
[FiniteDimensional ℝ E'] : 0 < lipschitzExtensionConstant E' := by
rw [lipschitzExtensionConstant]
exact zero_lt_one.trans_le (le_max_right _ _)
#align lipschitz_extension_constant_pos lipschitzExtensionConstant_pos
theorem LipschitzOnWith.extend_finite_dimension {α : Type*} [PseudoMetricSpace α] {E' : Type*}
[NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] {s : Set α} {f : α → E'}
{K : ℝ≥0} (hf : LipschitzOnWith K f s) :
∃ g : α → E', LipschitzWith (lipschitzExtensionConstant E' * K) g ∧ EqOn f g s := by
let ι : Type _ := Basis.ofVectorSpaceIndex ℝ E'
let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv
have LA : LipschitzWith ‖A.toContinuousLinearMap‖₊ A := by apply A.lipschitz
have L : LipschitzOnWith (‖A.toContinuousLinearMap‖₊ * K) (A ∘ f) s :=
LA.comp_lipschitzOnWith hf
obtain ⟨g, hg, gs⟩ :
∃ g : α → ι → ℝ, LipschitzWith (‖A.toContinuousLinearMap‖₊ * K) g ∧ EqOn (A ∘ f) g s :=
L.extend_pi
refine ⟨A.symm ∘ g, ?_, ?_⟩
· have LAsymm : LipschitzWith ‖A.symm.toContinuousLinearMap‖₊ A.symm := by
apply A.symm.lipschitz
apply (LAsymm.comp hg).weaken
rw [lipschitzExtensionConstant, ← mul_assoc]
exact mul_le_mul' (le_max_left _ _) le_rfl
· intro x hx
have : A (f x) = g x := gs hx
simp only [(· ∘ ·), ← this, A.symm_apply_apply]
#align lipschitz_on_with.extend_finite_dimension LipschitzOnWith.extend_finite_dimension
theorem LinearMap.exists_antilipschitzWith [FiniteDimensional 𝕜 E] (f : E →ₗ[𝕜] F)
(hf : LinearMap.ker f = ⊥) : ∃ K > 0, AntilipschitzWith K f := by
cases subsingleton_or_nontrivial E
· exact ⟨1, zero_lt_one, AntilipschitzWith.of_subsingleton⟩
· rw [LinearMap.ker_eq_bot] at hf
let e : E ≃L[𝕜] LinearMap.range f := (LinearEquiv.ofInjective f hf).toContinuousLinearEquiv
exact ⟨_, e.nnnorm_symm_pos, e.antilipschitz⟩
#align linear_map.exists_antilipschitz_with LinearMap.exists_antilipschitzWith
open Function in
theorem LinearMap.injective_iff_antilipschitz [FiniteDimensional 𝕜 E] (f : E →ₗ[𝕜] F) :
Injective f ↔ ∃ K > 0, AntilipschitzWith K f := by
constructor
· rw [← LinearMap.ker_eq_bot]
exact f.exists_antilipschitzWith
· rintro ⟨K, -, H⟩
exact H.injective
open Function in
theorem ContinuousLinearMap.isOpen_injective [FiniteDimensional 𝕜 E] :
IsOpen { L : E →L[𝕜] F | Injective L } := by
rw [isOpen_iff_eventually]
rintro φ₀ hφ₀
rcases φ₀.injective_iff_antilipschitz.mp hφ₀ with ⟨K, K_pos, H⟩
have : ∀ᶠ φ in 𝓝 φ₀, ‖φ - φ₀‖₊ < K⁻¹ := eventually_nnnorm_sub_lt _ <| inv_pos_of_pos K_pos
filter_upwards [this] with φ hφ
apply φ.injective_iff_antilipschitz.mpr
exact ⟨(K⁻¹ - ‖φ - φ₀‖₊)⁻¹, inv_pos_of_pos (tsub_pos_of_lt hφ),
H.add_sub_lipschitzWith (φ - φ₀).lipschitz hφ⟩
protected theorem LinearIndependent.eventually {ι} [Finite ι] {f : ι → E}
(hf : LinearIndependent 𝕜 f) : ∀ᶠ g in 𝓝 f, LinearIndependent 𝕜 g := by
cases nonempty_fintype ι
simp only [Fintype.linearIndependent_iff'] at hf ⊢
rcases LinearMap.exists_antilipschitzWith _ hf with ⟨K, K0, hK⟩
have : Tendsto (fun g : ι → E => ∑ i, ‖g i - f i‖) (𝓝 f) (𝓝 <| ∑ i, ‖f i - f i‖) :=
tendsto_finset_sum _ fun i _ =>
Tendsto.norm <| ((continuous_apply i).tendsto _).sub tendsto_const_nhds
simp only [sub_self, norm_zero, Finset.sum_const_zero] at this
refine (this.eventually (gt_mem_nhds <| inv_pos.2 K0)).mono fun g hg => ?_
replace hg : ∑ i, ‖g i - f i‖₊ < K⁻¹ := by
rw [← NNReal.coe_lt_coe]
push_cast
exact hg
rw [LinearMap.ker_eq_bot]
refine (hK.add_sub_lipschitzWith (LipschitzWith.of_dist_le_mul fun v u => ?_) hg).injective
simp only [dist_eq_norm, LinearMap.lsum_apply, Pi.sub_apply, LinearMap.sum_apply,
LinearMap.comp_apply, LinearMap.proj_apply, LinearMap.smulRight_apply, LinearMap.id_apply, ←
Finset.sum_sub_distrib, ← smul_sub, ← sub_smul, NNReal.coe_sum, coe_nnnorm, Finset.sum_mul]
refine norm_sum_le_of_le _ fun i _ => ?_
rw [norm_smul, mul_comm]
gcongr
exact norm_le_pi_norm (v - u) i
#align linear_independent.eventually LinearIndependent.eventually
theorem isOpen_setOf_linearIndependent {ι : Type*} [Finite ι] :
IsOpen { f : ι → E | LinearIndependent 𝕜 f } :=
isOpen_iff_mem_nhds.2 fun _ => LinearIndependent.eventually
#align is_open_set_of_linear_independent isOpen_setOf_linearIndependent
theorem isOpen_setOf_nat_le_rank (n : ℕ) :
IsOpen { f : E →L[𝕜] F | ↑n ≤ (f : E →ₗ[𝕜] F).rank } := by
simp only [LinearMap.le_rank_iff_exists_linearIndependent_finset, setOf_exists, ← exists_prop]
refine isOpen_biUnion fun t _ => ?_
have : Continuous fun f : E →L[𝕜] F => fun x : (t : Set E) => f x :=
continuous_pi fun x => (ContinuousLinearMap.apply 𝕜 F (x : E)).continuous
exact isOpen_setOf_linearIndependent.preimage this
#align is_open_set_of_nat_le_rank isOpen_setOf_nat_le_rank
theorem Basis.opNNNorm_le {ι : Type*} [Fintype ι] (v : Basis ι 𝕜 E) {u : E →L[𝕜] F} (M : ℝ≥0)
(hu : ∀ i, ‖u (v i)‖₊ ≤ M) : ‖u‖₊ ≤ Fintype.card ι • ‖v.equivFunL.toContinuousLinearMap‖₊ * M :=
u.opNNNorm_le_bound _ fun e => by
set φ := v.equivFunL.toContinuousLinearMap
calc
‖u e‖₊ = ‖u (∑ i, v.equivFun e i • v i)‖₊ := by rw [v.sum_equivFun]
_ = ‖∑ i, v.equivFun e i • (u <| v i)‖₊ := by simp [map_sum, LinearMap.map_smul]
_ ≤ ∑ i, ‖v.equivFun e i • (u <| v i)‖₊ := nnnorm_sum_le _ _
_ = ∑ i, ‖v.equivFun e i‖₊ * ‖u (v i)‖₊ := by simp only [nnnorm_smul]
_ ≤ ∑ i, ‖v.equivFun e i‖₊ * M := by gcongr; apply hu
_ = (∑ i, ‖v.equivFun e i‖₊) * M := by rw [Finset.sum_mul]
_ ≤ Fintype.card ι • (‖φ‖₊ * ‖e‖₊) * M := by
gcongr
calc
∑ i, ‖v.equivFun e i‖₊ ≤ Fintype.card ι • ‖φ e‖₊ := Pi.sum_nnnorm_apply_le_nnnorm _
_ ≤ Fintype.card ι • (‖φ‖₊ * ‖e‖₊) := nsmul_le_nsmul_right (φ.le_opNNNorm e) _
_ = Fintype.card ι • ‖φ‖₊ * M * ‖e‖₊ := by simp only [smul_mul_assoc, mul_right_comm]
#align basis.op_nnnorm_le Basis.opNNNorm_le
@[deprecated (since := "2024-02-02")] alias Basis.op_nnnorm_le := Basis.opNNNorm_le
theorem Basis.opNorm_le {ι : Type*} [Fintype ι] (v : Basis ι 𝕜 E) {u : E →L[𝕜] F} {M : ℝ}
(hM : 0 ≤ M) (hu : ∀ i, ‖u (v i)‖ ≤ M) :
‖u‖ ≤ Fintype.card ι • ‖v.equivFunL.toContinuousLinearMap‖ * M := by
simpa using NNReal.coe_le_coe.mpr (v.opNNNorm_le ⟨M, hM⟩ hu)
#align basis.op_norm_le Basis.opNorm_le
@[deprecated (since := "2024-02-02")] alias Basis.op_norm_le := Basis.opNorm_le
theorem Basis.exists_opNNNorm_le {ι : Type*} [Finite ι] (v : Basis ι 𝕜 E) :
∃ C > (0 : ℝ≥0), ∀ {u : E →L[𝕜] F} (M : ℝ≥0), (∀ i, ‖u (v i)‖₊ ≤ M) → ‖u‖₊ ≤ C * M := by
cases nonempty_fintype ι
exact
⟨max (Fintype.card ι • ‖v.equivFunL.toContinuousLinearMap‖₊) 1,
zero_lt_one.trans_le (le_max_right _ _), fun {u} M hu =>
(v.opNNNorm_le M hu).trans <| mul_le_mul_of_nonneg_right (le_max_left _ _) (zero_le M)⟩
#align basis.exists_op_nnnorm_le Basis.exists_opNNNorm_le
@[deprecated (since := "2024-02-02")] alias Basis.exists_op_nnnorm_le := Basis.exists_opNNNorm_le
theorem Basis.exists_opNorm_le {ι : Type*} [Finite ι] (v : Basis ι 𝕜 E) :
∃ C > (0 : ℝ), ∀ {u : E →L[𝕜] F} {M : ℝ}, 0 ≤ M → (∀ i, ‖u (v i)‖ ≤ M) → ‖u‖ ≤ C * M := by
obtain ⟨C, hC, h⟩ := v.exists_opNNNorm_le (F := F)
-- Porting note: used `Subtype.forall'` below
refine ⟨C, hC, ?_⟩
intro u M hM H
simpa using h ⟨M, hM⟩ H
#align basis.exists_op_norm_le Basis.exists_opNorm_le
@[deprecated (since := "2024-02-02")] alias Basis.exists_op_norm_le := Basis.exists_opNorm_le
instance [FiniteDimensional 𝕜 E] [SecondCountableTopology F] :
SecondCountableTopology (E →L[𝕜] F) := by
set d := FiniteDimensional.finrank 𝕜 E
suffices
∀ ε > (0 : ℝ), ∃ n : (E →L[𝕜] F) → Fin d → ℕ, ∀ f g : E →L[𝕜] F, n f = n g → dist f g ≤ ε from
Metric.secondCountable_of_countable_discretization fun ε ε_pos =>
⟨Fin d → ℕ, by infer_instance, this ε ε_pos⟩
intro ε ε_pos
obtain ⟨u : ℕ → F, hu : DenseRange u⟩ := exists_dense_seq F
let v := FiniteDimensional.finBasis 𝕜 E
obtain
⟨C : ℝ, C_pos : 0 < C, hC :
∀ {φ : E →L[𝕜] F} {M : ℝ}, 0 ≤ M → (∀ i, ‖φ (v i)‖ ≤ M) → ‖φ‖ ≤ C * M⟩ :=
v.exists_opNorm_le (E := E) (F := F)
have h_2C : 0 < 2 * C := mul_pos zero_lt_two C_pos
have hε2C : 0 < ε / (2 * C) := div_pos ε_pos h_2C
have : ∀ φ : E →L[𝕜] F, ∃ n : Fin d → ℕ, ‖φ - (v.constrL <| u ∘ n)‖ ≤ ε / 2 := by
intro φ
have : ∀ i, ∃ n, ‖φ (v i) - u n‖ ≤ ε / (2 * C) := by
simp only [norm_sub_rev]
intro i
have : φ (v i) ∈ closure (range u) := hu _
obtain ⟨n, hn⟩ : ∃ n, ‖u n - φ (v i)‖ < ε / (2 * C) := by
rw [mem_closure_iff_nhds_basis Metric.nhds_basis_ball] at this
specialize this (ε / (2 * C)) hε2C
simpa [dist_eq_norm]
exact ⟨n, le_of_lt hn⟩
choose n hn using this
use n
replace hn : ∀ i : Fin d, ‖(φ - (v.constrL <| u ∘ n)) (v i)‖ ≤ ε / (2 * C) := by simp [hn]
have : C * (ε / (2 * C)) = ε / 2 := by
rw [eq_div_iff (two_ne_zero : (2 : ℝ) ≠ 0), mul_comm, ← mul_assoc,
mul_div_cancel₀ _ (ne_of_gt h_2C)]
specialize hC (le_of_lt hε2C) hn
rwa [this] at hC
choose n hn using this
set Φ := fun φ : E →L[𝕜] F => v.constrL <| u ∘ n φ
change ∀ z, dist z (Φ z) ≤ ε / 2 at hn
use n
intro x y hxy
calc
dist x y ≤ dist x (Φ x) + dist (Φ x) y := dist_triangle _ _ _
_ = dist x (Φ x) + dist y (Φ y) := by simp [Φ, hxy, dist_comm]
_ ≤ ε := by linarith [hn x, hn y]
theorem AffineSubspace.closed_of_finiteDimensional {P : Type*} [MetricSpace P]
[NormedAddTorsor E P] (s : AffineSubspace 𝕜 P) [FiniteDimensional 𝕜 s.direction] :
IsClosed (s : Set P) :=
s.isClosed_direction_iff.mp s.direction.closed_of_finiteDimensional
#align affine_subspace.closed_of_finite_dimensional AffineSubspace.closed_of_finiteDimensional
open ContinuousLinearMap
def ContinuousLinearEquiv.piRing (ι : Type*) [Fintype ι] [DecidableEq ι] :
((ι → 𝕜) →L[𝕜] E) ≃L[𝕜] ι → E :=
{ LinearMap.toContinuousLinearMap.symm.trans (LinearEquiv.piRing 𝕜 E ι 𝕜) with
continuous_toFun := by
refine continuous_pi fun i => ?_
exact (ContinuousLinearMap.apply 𝕜 E (Pi.single i 1)).continuous
continuous_invFun := by
simp_rw [LinearEquiv.invFun_eq_symm, LinearEquiv.trans_symm, LinearEquiv.symm_symm]
-- Note: added explicit type and removed `change` that tried to achieve the same
refine AddMonoidHomClass.continuous_of_bound
(LinearMap.toContinuousLinearMap.toLinearMap.comp
(LinearEquiv.piRing 𝕜 E ι 𝕜).symm.toLinearMap)
(Fintype.card ι : ℝ) fun g => ?_
rw [← nsmul_eq_mul]
refine opNorm_le_bound _ (nsmul_nonneg (norm_nonneg g) (Fintype.card ι)) fun t => ?_
simp_rw [LinearMap.coe_comp, LinearEquiv.coe_toLinearMap, Function.comp_apply,
LinearMap.coe_toContinuousLinearMap', LinearEquiv.piRing_symm_apply]
apply le_trans (norm_sum_le _ _)
rw [smul_mul_assoc]
refine Finset.sum_le_card_nsmul _ _ _ fun i _ => ?_
rw [norm_smul, mul_comm]
gcongr <;> apply norm_le_pi_norm }
#align continuous_linear_equiv.pi_ring ContinuousLinearEquiv.piRing
theorem continuousOn_clm_apply {X : Type*} [TopologicalSpace X] [FiniteDimensional 𝕜 E]
{f : X → E →L[𝕜] F} {s : Set X} : ContinuousOn f s ↔ ∀ y, ContinuousOn (fun x => f x y) s := by
refine ⟨fun h y => (ContinuousLinearMap.apply 𝕜 F y).continuous.comp_continuousOn h, fun h => ?_⟩
let d := finrank 𝕜 E
have hd : d = finrank 𝕜 (Fin d → 𝕜) := (finrank_fin_fun 𝕜).symm
let e₁ : E ≃L[𝕜] Fin d → 𝕜 := ContinuousLinearEquiv.ofFinrankEq hd
let e₂ : (E →L[𝕜] F) ≃L[𝕜] Fin d → F :=
(e₁.arrowCongr (1 : F ≃L[𝕜] F)).trans (ContinuousLinearEquiv.piRing (Fin d))
rw [← f.id_comp, ← e₂.symm_comp_self]
exact e₂.symm.continuous.comp_continuousOn (continuousOn_pi.mpr fun i => h _)
#align continuous_on_clm_apply continuousOn_clm_apply
| Mathlib/Analysis/NormedSpace/FiniteDimension.lean | 606 | 608 | theorem continuous_clm_apply {X : Type*} [TopologicalSpace X] [FiniteDimensional 𝕜 E]
{f : X → E →L[𝕜] F} : Continuous f ↔ ∀ y, Continuous (f · y) := by |
simp_rw [continuous_iff_continuousOn_univ, continuousOn_clm_apply]
|
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Data.Set.MemPartition
import Mathlib.Order.Filter.CountableSeparatingOn
open Set MeasureTheory
namespace MeasurableSpace
variable {α β : Type*}
class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where
isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b
#align measurable_space.countably_generated MeasurableSpace.CountablyGenerated
def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] :
Set (Set α) :=
insert ∅ h.isCountablyGenerated.choose
lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] :
Set.Countable (countableGeneratingSet α) :=
Countable.insert _ h.isCountablyGenerated.choose_spec.1
lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] :
generateFrom (countableGeneratingSet α) = m :=
(generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm
lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
∅ ∈ countableGeneratingSet α := mem_insert _ _
lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
Set.Nonempty (countableGeneratingSet α) :=
⟨∅, mem_insert _ _⟩
lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α]
{s : Set α} (hs : s ∈ countableGeneratingSet α) :
MeasurableSet s := by
rw [← generateFrom_countableGeneratingSet (α := α)]
exact measurableSet_generateFrom hs
def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) :=
enumerateCountable (countable_countableGeneratingSet (α := α)) ∅
lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α]
[CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by
rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet,
generateFrom_countableGeneratingSet]
lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) :
MeasurableSet (natGeneratingSequence α n) :=
measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _
empty_mem_countableGeneratingSet n
theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) :
@CountablyGenerated α (.comap f m) := by
rcases h with ⟨⟨b, hbc, rfl⟩⟩
rw [comap_generateFrom]
letI := generateFrom (preimage f '' b)
exact ⟨_, hbc.image _, rfl⟩
theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁)
(h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by
rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩
rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩
exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩
instance (priority := 100) [MeasurableSpace α] [Countable α] : CountablyGenerated α where
isCountablyGenerated := by
refine ⟨⋃ y, {measurableAtom y}, countable_iUnion (fun i ↦ countable_singleton _), ?_⟩
refine le_antisymm ?_ (generateFrom_le (by simp [MeasurableSet.measurableAtom_of_countable]))
intro s hs
have : s = ⋃ y ∈ s, measurableAtom y := by
apply Subset.antisymm
· intro x hx
simpa using ⟨x, hx, by simp⟩
· simp only [iUnion_subset_iff]
intro x hx
exact measurableAtom_subset hs hx
rw [this]
apply MeasurableSet.biUnion (to_countable s) (fun x _hx ↦ ?_)
apply measurableSet_generateFrom
simp
instance [MeasurableSpace α] [CountablyGenerated α] {p : α → Prop} :
CountablyGenerated { x // p x } := .comap _
instance [MeasurableSpace α] [CountablyGenerated α] [MeasurableSpace β] [CountablyGenerated β] :
CountablyGenerated (α × β) :=
.sup (.comap Prod.fst) (.comap Prod.snd)
section SeparatesPoints
class SeparatesPoints (α : Type*) [m : MeasurableSpace α] : Prop where
separates : ∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) → x = y
theorem separatesPoints_def [MeasurableSpace α] [hs : SeparatesPoints α] {x y : α}
(h : ∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) : x = y := hs.separates _ _ h
| Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean | 144 | 147 | theorem exists_measurableSet_of_ne [MeasurableSpace α] [SeparatesPoints α] {x y : α}
(h : x ≠ y) : ∃ s, MeasurableSet s ∧ x ∈ s ∧ y ∉ s := by |
contrapose! h
exact separatesPoints_def h
|
import Mathlib.Data.Set.Prod
#align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654"
open Function
namespace Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ}
variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ}
{d d' : δ}
theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t :=
⟨by
rintro ⟨a', ha', b', hb', h⟩
rcases hf h with ⟨rfl, rfl⟩
exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩
#align set.mem_image2_iff Set.mem_image2_iff
theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by
rintro _ ⟨a, ha, b, hb, rfl⟩
exact mem_image2_of_mem (hs ha) (ht hb)
#align set.image2_subset Set.image2_subset
theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' :=
image2_subset Subset.rfl ht
#align set.image2_subset_left Set.image2_subset_left
theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t :=
image2_subset hs Subset.rfl
#align set.image2_subset_right Set.image2_subset_right
theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t :=
forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb
#align set.image_subset_image2_left Set.image_subset_image2_left
theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t :=
forall_mem_image.2 fun _ => mem_image2_of_mem ha
#align set.image_subset_image2_right Set.image_subset_image2_right
theorem forall_image2_iff {p : γ → Prop} :
(∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) :=
⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩
#align set.forall_image2_iff Set.forall_image2_iff
@[simp]
theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image2_iff
#align set.image2_subset_iff Set.image2_subset_iff
theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage]
#align set.image2_subset_iff_left Set.image2_subset_iff_left
theorem image2_subset_iff_right : image2 f s t ⊆ u ↔ ∀ b ∈ t, (fun a => f a b) '' s ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage, @forall₂_swap α]
#align set.image2_subset_iff_right Set.image2_subset_iff_right
variable (f)
-- Porting note: Removing `simp` - LHS does not simplify
lemma image_prod : (fun x : α × β ↦ f x.1 x.2) '' s ×ˢ t = image2 f s t :=
ext fun _ ↦ by simp [and_assoc]
#align set.image_prod Set.image_prod
@[simp] lemma image_uncurry_prod (s : Set α) (t : Set β) : uncurry f '' s ×ˢ t = image2 f s t :=
image_prod _
#align set.image_uncurry_prod Set.image_uncurry_prod
@[simp] lemma image2_mk_eq_prod : image2 Prod.mk s t = s ×ˢ t := ext <| by simp
#align set.image2_mk_eq_prod Set.image2_mk_eq_prod
-- Porting note: Removing `simp` - LHS does not simplify
lemma image2_curry (f : α × β → γ) (s : Set α) (t : Set β) :
image2 (fun a b ↦ f (a, b)) s t = f '' s ×ˢ t := by
simp [← image_uncurry_prod, uncurry]
#align set.image2_curry Set.image2_curry
theorem image2_swap (s : Set α) (t : Set β) : image2 f s t = image2 (fun a b => f b a) t s := by
ext
constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨b, hb, a, ha, rfl⟩
#align set.image2_swap Set.image2_swap
variable {f}
theorem image2_union_left : image2 f (s ∪ s') t = image2 f s t ∪ image2 f s' t := by
simp_rw [← image_prod, union_prod, image_union]
#align set.image2_union_left Set.image2_union_left
theorem image2_union_right : image2 f s (t ∪ t') = image2 f s t ∪ image2 f s t' := by
rw [← image2_swap, image2_union_left, image2_swap f, image2_swap f]
#align set.image2_union_right Set.image2_union_right
lemma image2_inter_left (hf : Injective2 f) :
image2 f (s ∩ s') t = image2 f s t ∩ image2 f s' t := by
simp_rw [← image_uncurry_prod, inter_prod, image_inter hf.uncurry]
#align set.image2_inter_left Set.image2_inter_left
lemma image2_inter_right (hf : Injective2 f) :
image2 f s (t ∩ t') = image2 f s t ∩ image2 f s t' := by
simp_rw [← image_uncurry_prod, prod_inter, image_inter hf.uncurry]
#align set.image2_inter_right Set.image2_inter_right
@[simp]
theorem image2_empty_left : image2 f ∅ t = ∅ :=
ext <| by simp
#align set.image2_empty_left Set.image2_empty_left
@[simp]
theorem image2_empty_right : image2 f s ∅ = ∅ :=
ext <| by simp
#align set.image2_empty_right Set.image2_empty_right
theorem Nonempty.image2 : s.Nonempty → t.Nonempty → (image2 f s t).Nonempty :=
fun ⟨_, ha⟩ ⟨_, hb⟩ => ⟨_, mem_image2_of_mem ha hb⟩
#align set.nonempty.image2 Set.Nonempty.image2
@[simp]
theorem image2_nonempty_iff : (image2 f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
⟨fun ⟨_, a, ha, b, hb, _⟩ => ⟨⟨a, ha⟩, b, hb⟩, fun h => h.1.image2 h.2⟩
#align set.image2_nonempty_iff Set.image2_nonempty_iff
theorem Nonempty.of_image2_left (h : (Set.image2 f s t).Nonempty) : s.Nonempty :=
(image2_nonempty_iff.1 h).1
#align set.nonempty.of_image2_left Set.Nonempty.of_image2_left
theorem Nonempty.of_image2_right (h : (Set.image2 f s t).Nonempty) : t.Nonempty :=
(image2_nonempty_iff.1 h).2
#align set.nonempty.of_image2_right Set.Nonempty.of_image2_right
@[simp]
theorem image2_eq_empty_iff : image2 f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
rw [← not_nonempty_iff_eq_empty, image2_nonempty_iff, not_and_or]
simp [not_nonempty_iff_eq_empty]
#align set.image2_eq_empty_iff Set.image2_eq_empty_iff
theorem Subsingleton.image2 (hs : s.Subsingleton) (ht : t.Subsingleton) (f : α → β → γ) :
(image2 f s t).Subsingleton := by
rw [← image_prod]
apply (hs.prod ht).image
theorem image2_inter_subset_left : image2 f (s ∩ s') t ⊆ image2 f s t ∩ image2 f s' t :=
Monotone.map_inf_le (fun _ _ ↦ image2_subset_right) s s'
#align set.image2_inter_subset_left Set.image2_inter_subset_left
theorem image2_inter_subset_right : image2 f s (t ∩ t') ⊆ image2 f s t ∩ image2 f s t' :=
Monotone.map_inf_le (fun _ _ ↦ image2_subset_left) t t'
#align set.image2_inter_subset_right Set.image2_inter_subset_right
@[simp]
theorem image2_singleton_left : image2 f {a} t = f a '' t :=
ext fun x => by simp
#align set.image2_singleton_left Set.image2_singleton_left
@[simp]
theorem image2_singleton_right : image2 f s {b} = (fun a => f a b) '' s :=
ext fun x => by simp
#align set.image2_singleton_right Set.image2_singleton_right
theorem image2_singleton : image2 f {a} {b} = {f a b} := by simp
#align set.image2_singleton Set.image2_singleton
@[simp]
theorem image2_insert_left : image2 f (insert a s) t = (fun b => f a b) '' t ∪ image2 f s t := by
rw [insert_eq, image2_union_left, image2_singleton_left]
#align set.image2_insert_left Set.image2_insert_left
@[simp]
theorem image2_insert_right : image2 f s (insert b t) = (fun a => f a b) '' s ∪ image2 f s t := by
rw [insert_eq, image2_union_right, image2_singleton_right]
#align set.image2_insert_right Set.image2_insert_right
@[congr]
theorem image2_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image2 f s t = image2 f' s t := by
ext
constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨a, ha, b, hb, by rw [h a ha b hb]⟩
#align set.image2_congr Set.image2_congr
theorem image2_congr' (h : ∀ a b, f a b = f' a b) : image2 f s t = image2 f' s t :=
image2_congr fun a _ b _ => h a b
#align set.image2_congr' Set.image2_congr'
#noalign set.image3
#noalign set.mem_image3
#noalign set.image3_mono
#noalign set.image3_congr
#noalign set.image3_congr'
#noalign set.image2_image2_left
#noalign set.image2_image2_right
theorem image_image2 (f : α → β → γ) (g : γ → δ) :
g '' image2 f s t = image2 (fun a b => g (f a b)) s t := by
simp only [← image_prod, image_image]
#align set.image_image2 Set.image_image2
theorem image2_image_left (f : γ → β → δ) (g : α → γ) :
image2 f (g '' s) t = image2 (fun a b => f (g a) b) s t := by
ext; simp
#align set.image2_image_left Set.image2_image_left
theorem image2_image_right (f : α → γ → δ) (g : β → γ) :
image2 f s (g '' t) = image2 (fun a b => f a (g b)) s t := by
ext; simp
#align set.image2_image_right Set.image2_image_right
@[simp]
theorem image2_left (h : t.Nonempty) : image2 (fun x _ => x) s t = s := by
simp [nonempty_def.mp h, ext_iff]
#align set.image2_left Set.image2_left
@[simp]
theorem image2_right (h : s.Nonempty) : image2 (fun _ y => y) s t = t := by
simp [nonempty_def.mp h, ext_iff]
#align set.image2_right Set.image2_right
lemma image2_range (f : α' → β' → γ) (g : α → α') (h : β → β') :
image2 f (range g) (range h) = range fun x : α × β ↦ f (g x.1) (h x.2) := by
simp_rw [← image_univ, image2_image_left, image2_image_right, ← image_prod, univ_prod_univ]
theorem image2_assoc {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε} {g' : β → γ → ε'}
(h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) :
image2 f (image2 g s t) u = image2 f' s (image2 g' t u) :=
eq_of_forall_subset_iff fun _ ↦ by simp only [image2_subset_iff, forall_image2_iff, h_assoc]
#align set.image2_assoc Set.image2_assoc
theorem image2_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image2 f s t = image2 g t s :=
(image2_swap _ _ _).trans <| by simp_rw [h_comm]
#align set.image2_comm Set.image2_comm
theorem image2_left_comm {f : α → δ → ε} {g : β → γ → δ} {f' : α → γ → δ'} {g' : β → δ' → ε}
(h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) :
image2 f s (image2 g t u) = image2 g' t (image2 f' s u) := by
rw [image2_swap f', image2_swap f]
exact image2_assoc fun _ _ _ => h_left_comm _ _ _
#align set.image2_left_comm Set.image2_left_comm
theorem image2_right_comm {f : δ → γ → ε} {g : α → β → δ} {f' : α → γ → δ'} {g' : δ' → β → ε}
(h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) :
image2 f (image2 g s t) u = image2 g' (image2 f' s u) t := by
rw [image2_swap g, image2_swap g']
exact image2_assoc fun _ _ _ => h_right_comm _ _ _
#align set.image2_right_comm Set.image2_right_comm
theorem image2_image2_image2_comm {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ} {f' : ε' → ζ' → ν}
{g' : α → γ → ε'} {h' : β → δ → ζ'}
(h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) :
image2 f (image2 g s t) (image2 h u v) = image2 f' (image2 g' s u) (image2 h' t v) := by
ext; constructor
· rintro ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, rfl⟩
exact ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, (h_comm _ _ _ _).symm⟩
· rintro ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, rfl⟩
exact ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, h_comm _ _ _ _⟩
#align set.image2_image2_image2_comm Set.image2_image2_image2_comm
theorem image_image2_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) :
(image2 f s t).image g = image2 f' (s.image g₁) (t.image g₂) := by
simp_rw [image_image2, image2_image_left, image2_image_right, h_distrib]
#align set.image_image2_distrib Set.image_image2_distrib
theorem image_image2_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'}
(h_distrib : ∀ a b, g (f a b) = f' (g' a) b) :
(image2 f s t).image g = image2 f' (s.image g') t :=
(image_image2_distrib h_distrib).trans <| by rw [image_id']
#align set.image_image2_distrib_left Set.image_image2_distrib_left
theorem image_image2_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' a (g' b)) :
(image2 f s t).image g = image2 f' s (t.image g') :=
(image_image2_distrib h_distrib).trans <| by rw [image_id']
#align set.image_image2_distrib_right Set.image_image2_distrib_right
theorem image2_image_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ}
(h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) :
image2 f (s.image g) t = (image2 f' s t).image g' :=
(image_image2_distrib_left fun a b => (h_left_comm a b).symm).symm
#align set.image2_image_left_comm Set.image2_image_left_comm
theorem image_image2_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ}
(h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) :
image2 f s (t.image g) = (image2 f' s t).image g' :=
(image_image2_distrib_right fun a b => (h_right_comm a b).symm).symm
#align set.image_image2_right_comm Set.image_image2_right_comm
theorem image2_distrib_subset_left {f : α → δ → ε} {g : β → γ → δ} {f₁ : α → β → β'}
{f₂ : α → γ → γ'} {g' : β' → γ' → ε} (h_distrib : ∀ a b c, f a (g b c) = g' (f₁ a b) (f₂ a c)) :
image2 f s (image2 g t u) ⊆ image2 g' (image2 f₁ s t) (image2 f₂ s u) := by
rintro _ ⟨a, ha, _, ⟨b, hb, c, hc, rfl⟩, rfl⟩
rw [h_distrib]
exact mem_image2_of_mem (mem_image2_of_mem ha hb) (mem_image2_of_mem ha hc)
#align set.image2_distrib_subset_left Set.image2_distrib_subset_left
theorem image2_distrib_subset_right {f : δ → γ → ε} {g : α → β → δ} {f₁ : α → γ → α'}
{f₂ : β → γ → β'} {g' : α' → β' → ε} (h_distrib : ∀ a b c, f (g a b) c = g' (f₁ a c) (f₂ b c)) :
image2 f (image2 g s t) u ⊆ image2 g' (image2 f₁ s u) (image2 f₂ t u) := by
rintro _ ⟨_, ⟨a, ha, b, hb, rfl⟩, c, hc, rfl⟩
rw [h_distrib]
exact mem_image2_of_mem (mem_image2_of_mem ha hc) (mem_image2_of_mem hb hc)
#align set.image2_distrib_subset_right Set.image2_distrib_subset_right
| Mathlib/Data/Set/NAry.lean | 325 | 329 | theorem image_image2_antidistrib {g : γ → δ} {f' : β' → α' → δ} {g₁ : β → β'} {g₂ : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g₁ b) (g₂ a)) :
(image2 f s t).image g = image2 f' (t.image g₁) (s.image g₂) := by |
rw [image2_swap f]
exact image_image2_distrib fun _ _ => h_antidistrib _ _
|
import Mathlib.Algebra.Homology.Additive
import Mathlib.CategoryTheory.Abelian.Pseudoelements
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Kernels
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Images
#align_import category_theory.abelian.homology from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d"
open CategoryTheory.Limits
open CategoryTheory
noncomputable section
universe v u
variable {A : Type u} [Category.{v} A] [Abelian A]
variable {X Y Z : A} (f : X ⟶ Y) (g : Y ⟶ Z) (w : f ≫ g = 0)
def homology'IsoKernelDesc : homology' f g w ≅ kernel (cokernel.desc f g w) :=
homology'IsoCokernelLift _ _ _ ≪≫ asIso (CategoryTheory.Abelian.homologyCToK _ _ _)
#align homology_iso_kernel_desc homology'IsoKernelDesc
namespace homology'
-- `homology'.π` is taken
def π' : kernel g ⟶ homology' f g w :=
cokernel.π _ ≫ (homology'IsoCokernelLift _ _ _).inv
#align homology.π' homology'.π'
def ι : homology' f g w ⟶ cokernel f :=
(homology'IsoKernelDesc _ _ _).hom ≫ kernel.ι _
#align homology.ι homology'.ι
def desc' {W : A} (e : kernel g ⟶ W) (he : kernel.lift g f w ≫ e = 0) : homology' f g w ⟶ W :=
(homology'IsoCokernelLift _ _ _).hom ≫ cokernel.desc _ e he
#align homology.desc' homology'.desc'
def lift {W : A} (e : W ⟶ cokernel f) (he : e ≫ cokernel.desc f g w = 0) : W ⟶ homology' f g w :=
kernel.lift _ e he ≫ (homology'IsoKernelDesc _ _ _).inv
#align homology.lift homology'.lift
@[reassoc (attr := simp)]
theorem π'_desc' {W : A} (e : kernel g ⟶ W) (he : kernel.lift g f w ≫ e = 0) :
π' f g w ≫ desc' f g w e he = e := by
dsimp [π', desc']
simp
#align homology.π'_desc' homology'.π'_desc'
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Abelian/Homology.lean | 144 | 147 | theorem lift_ι {W : A} (e : W ⟶ cokernel f) (he : e ≫ cokernel.desc f g w = 0) :
lift f g w e he ≫ ι _ _ _ = e := by |
dsimp [ι, lift]
simp
|
import Mathlib.Algebra.BigOperators.WithTop
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Data.ENNReal.Basic
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal ENNReal
namespace ENNReal
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
section Mul
-- Porting note (#11215): TODO: generalize to `WithTop`
@[mono, gcongr]
| Mathlib/Data/ENNReal/Operations.lean | 33 | 41 | theorem mul_lt_mul (ac : a < c) (bd : b < d) : a * b < c * d := by |
rcases lt_iff_exists_nnreal_btwn.1 ac with ⟨a', aa', a'c⟩
lift a to ℝ≥0 using ne_top_of_lt aa'
rcases lt_iff_exists_nnreal_btwn.1 bd with ⟨b', bb', b'd⟩
lift b to ℝ≥0 using ne_top_of_lt bb'
norm_cast at *
calc
↑(a * b) < ↑(a' * b') := coe_lt_coe.2 (mul_lt_mul₀ aa' bb')
_ ≤ c * d := mul_le_mul' a'c.le b'd.le
|
import Mathlib.ModelTheory.Syntax
import Mathlib.ModelTheory.Semantics
import Mathlib.Algebra.Ring.Equiv
variable {α : Type*}
namespace FirstOrder
open FirstOrder
inductive ringFunc : ℕ → Type
| add : ringFunc 2
| mul : ringFunc 2
| neg : ringFunc 1
| zero : ringFunc 0
| one : ringFunc 0
deriving DecidableEq
def Language.ring : Language :=
{ Functions := ringFunc
Relations := fun _ => Empty }
namespace Ring
open ringFunc Language
instance (n : ℕ) : DecidableEq (Language.ring.Functions n) := by
dsimp [Language.ring]; infer_instance
instance (n : ℕ) : DecidableEq (Language.ring.Relations n) := by
dsimp [Language.ring]; infer_instance
abbrev addFunc : Language.ring.Functions 2 := add
abbrev mulFunc : Language.ring.Functions 2 := mul
abbrev negFunc : Language.ring.Functions 1 := neg
abbrev zeroFunc : Language.ring.Functions 0 := zero
abbrev oneFunc : Language.ring.Functions 0 := one
instance (α : Type*) : Zero (Language.ring.Term α) :=
{ zero := Constants.term zeroFunc }
theorem zero_def (α : Type*) : (0 : Language.ring.Term α) = Constants.term zeroFunc := rfl
instance (α : Type*) : One (Language.ring.Term α) :=
{ one := Constants.term oneFunc }
theorem one_def (α : Type*) : (1 : Language.ring.Term α) = Constants.term oneFunc := rfl
instance (α : Type*) : Add (Language.ring.Term α) :=
{ add := addFunc.apply₂ }
theorem add_def (α : Type*) (t₁ t₂ : Language.ring.Term α) :
t₁ + t₂ = addFunc.apply₂ t₁ t₂ := rfl
instance (α : Type*) : Mul (Language.ring.Term α) :=
{ mul := mulFunc.apply₂ }
theorem mul_def (α : Type*) (t₁ t₂ : Language.ring.Term α) :
t₁ * t₂ = mulFunc.apply₂ t₁ t₂ := rfl
instance (α : Type*) : Neg (Language.ring.Term α) :=
{ neg := negFunc.apply₁ }
theorem neg_def (α : Type*) (t : Language.ring.Term α) :
-t = negFunc.apply₁ t := rfl
instance : Fintype Language.ring.Symbols :=
⟨⟨Multiset.ofList
[Sum.inl ⟨2, .add⟩,
Sum.inl ⟨2, .mul⟩,
Sum.inl ⟨1, .neg⟩,
Sum.inl ⟨0, .zero⟩,
Sum.inl ⟨0, .one⟩], by
dsimp [Language.Symbols]; decide⟩, by
intro x
dsimp [Language.Symbols]
rcases x with ⟨_, f⟩ | ⟨_, f⟩
· cases f <;> decide
· cases f ⟩
@[simp]
theorem card_ring : card Language.ring = 5 := by
have : Fintype.card Language.ring.Symbols = 5 := rfl
simp [Language.card, this]
open Language ring Structure
class CompatibleRing (R : Type*) [Add R] [Mul R] [Neg R] [One R] [Zero R]
extends Language.ring.Structure R where
funMap_add : ∀ x, funMap addFunc x = x 0 + x 1
funMap_mul : ∀ x, funMap mulFunc x = x 0 * x 1
funMap_neg : ∀ x, funMap negFunc x = -x 0
funMap_zero : ∀ x, funMap (zeroFunc : Language.ring.Constants) x = 0
funMap_one : ∀ x, funMap (oneFunc : Language.ring.Constants) x = 1
open CompatibleRing
attribute [simp] funMap_add funMap_mul funMap_neg funMap_zero funMap_one
section
variable {R : Type*} [Add R] [Mul R] [Neg R] [One R] [Zero R] [CompatibleRing R]
@[simp]
theorem realize_add (x y : ring.Term α) (v : α → R) :
Term.realize v (x + y) = Term.realize v x + Term.realize v y := by
simp [add_def, funMap_add]
@[simp]
| Mathlib/ModelTheory/Algebra/Ring/Basic.lean | 185 | 187 | theorem realize_mul (x y : ring.Term α) (v : α → R) :
Term.realize v (x * y) = Term.realize v x * Term.realize v y := by |
simp [mul_def, funMap_mul]
|
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
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]
theorem lintegral_indicator_const {s : Set α} (hs : MeasurableSet s) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s :=
lintegral_indicator_const₀ hs.nullMeasurableSet c
#align measure_theory.lintegral_indicator_const MeasureTheory.lintegral_indicator_const
theorem set_lintegral_eq_const {f : α → ℝ≥0∞} (hf : Measurable f) (r : ℝ≥0∞) :
∫⁻ x in { x | f x = r }, f x ∂μ = r * μ { x | f x = r } := by
have : ∀ᵐ x ∂μ, x ∈ { x | f x = r } → f x = r := ae_of_all μ fun _ hx => hx
rw [set_lintegral_congr_fun _ this]
· rw [lintegral_const, Measure.restrict_apply MeasurableSet.univ, Set.univ_inter]
· exact hf (measurableSet_singleton r)
#align measure_theory.set_lintegral_eq_const MeasureTheory.set_lintegral_eq_const
theorem lintegral_indicator_one_le (s : Set α) : ∫⁻ a, s.indicator 1 a ∂μ ≤ μ s :=
(lintegral_indicator_const_le _ _).trans <| (one_mul _).le
@[simp]
theorem lintegral_indicator_one₀ (hs : NullMeasurableSet s μ) : ∫⁻ a, s.indicator 1 a ∂μ = μ s :=
(lintegral_indicator_const₀ hs _).trans <| one_mul _
@[simp]
theorem lintegral_indicator_one (hs : MeasurableSet s) : ∫⁻ a, s.indicator 1 a ∂μ = μ s :=
(lintegral_indicator_const hs _).trans <| one_mul _
#align measure_theory.lintegral_indicator_one MeasureTheory.lintegral_indicator_one
theorem lintegral_add_mul_meas_add_le_le_lintegral {f g : α → ℝ≥0∞} (hle : f ≤ᵐ[μ] g)
(hg : AEMeasurable g μ) (ε : ℝ≥0∞) :
∫⁻ a, f a ∂μ + ε * μ { x | f x + ε ≤ g x } ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_le_lintegral_eq μ f with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ x, f x ∂μ + ε * μ { x | f x + ε ≤ g x } = ∫⁻ x, φ x ∂μ + ε * μ { x | f x + ε ≤ g x } := by
rw [hφ_eq]
_ ≤ ∫⁻ x, φ x ∂μ + ε * μ { x | φ x + ε ≤ g x } := by
gcongr
exact fun x => (add_le_add_right (hφ_le _) _).trans
_ = ∫⁻ x, φ x + indicator { x | φ x + ε ≤ g x } (fun _ => ε) x ∂μ := by
rw [lintegral_add_left hφm, lintegral_indicator₀, set_lintegral_const]
exact measurableSet_le (hφm.nullMeasurable.measurable'.add_const _) hg.nullMeasurable
_ ≤ ∫⁻ x, g x ∂μ := lintegral_mono_ae (hle.mono fun x hx₁ => ?_)
simp only [indicator_apply]; split_ifs with hx₂
exacts [hx₂, (add_zero _).trans_le <| (hφ_le x).trans hx₁]
#align measure_theory.lintegral_add_mul_meas_add_le_le_lintegral MeasureTheory.lintegral_add_mul_meas_add_le_le_lintegral
theorem mul_meas_ge_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ := by
simpa only [lintegral_zero, zero_add] using
lintegral_add_mul_meas_add_le_le_lintegral (ae_of_all _ fun x => zero_le (f x)) hf ε
#align measure_theory.mul_meas_ge_le_lintegral₀ MeasureTheory.mul_meas_ge_le_lintegral₀
theorem mul_meas_ge_le_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ :=
mul_meas_ge_le_lintegral₀ hf.aemeasurable ε
#align measure_theory.mul_meas_ge_le_lintegral MeasureTheory.mul_meas_ge_le_lintegral
lemma meas_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ)
{s : Set α} (hs : ∀ x ∈ s, 1 ≤ f x) : μ s ≤ ∫⁻ a, f a ∂μ := by
apply le_trans _ (mul_meas_ge_le_lintegral₀ hf 1)
rw [one_mul]
exact measure_mono hs
lemma lintegral_le_meas {s : Set α} {f : α → ℝ≥0∞} (hf : ∀ a, f a ≤ 1) (h'f : ∀ a ∈ sᶜ, f a = 0) :
∫⁻ a, f a ∂μ ≤ μ s := by
apply (lintegral_mono (fun x ↦ ?_)).trans (lintegral_indicator_one_le s)
by_cases hx : x ∈ s
· simpa [hx] using hf x
· simpa [hx] using h'f x hx
theorem lintegral_eq_top_of_measure_eq_top_ne_zero {f : α → ℝ≥0∞} (hf : AEMeasurable f μ)
(hμf : μ {x | f x = ∞} ≠ 0) : ∫⁻ x, f x ∂μ = ∞ :=
eq_top_iff.mpr <|
calc
∞ = ∞ * μ { x | ∞ ≤ f x } := by simp [mul_eq_top, hμf]
_ ≤ ∫⁻ x, f x ∂μ := mul_meas_ge_le_lintegral₀ hf ∞
#align measure_theory.lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.lintegral_eq_top_of_measure_eq_top_ne_zero
theorem setLintegral_eq_top_of_measure_eq_top_ne_zero (hf : AEMeasurable f (μ.restrict s))
(hμf : μ ({x ∈ s | f x = ∞}) ≠ 0) : ∫⁻ x in s, f x ∂μ = ∞ :=
lintegral_eq_top_of_measure_eq_top_ne_zero hf <|
mt (eq_bot_mono <| by rw [← setOf_inter_eq_sep]; exact Measure.le_restrict_apply _ _) hμf
#align measure_theory.set_lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.setLintegral_eq_top_of_measure_eq_top_ne_zero
theorem measure_eq_top_of_lintegral_ne_top (hf : AEMeasurable f μ) (hμf : ∫⁻ x, f x ∂μ ≠ ∞) :
μ {x | f x = ∞} = 0 :=
of_not_not fun h => hμf <| lintegral_eq_top_of_measure_eq_top_ne_zero hf h
#align measure_theory.measure_eq_top_of_lintegral_ne_top MeasureTheory.measure_eq_top_of_lintegral_ne_top
theorem measure_eq_top_of_setLintegral_ne_top (hf : AEMeasurable f (μ.restrict s))
(hμf : ∫⁻ x in s, f x ∂μ ≠ ∞) : μ ({x ∈ s | f x = ∞}) = 0 :=
of_not_not fun h => hμf <| setLintegral_eq_top_of_measure_eq_top_ne_zero hf h
#align measure_theory.measure_eq_top_of_set_lintegral_ne_top MeasureTheory.measure_eq_top_of_setLintegral_ne_top
theorem meas_ge_le_lintegral_div {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) {ε : ℝ≥0∞} (hε : ε ≠ 0)
(hε' : ε ≠ ∞) : μ { x | ε ≤ f x } ≤ (∫⁻ a, f a ∂μ) / ε :=
(ENNReal.le_div_iff_mul_le (Or.inl hε) (Or.inl hε')).2 <| by
rw [mul_comm]
exact mul_meas_ge_le_lintegral₀ hf ε
#align measure_theory.meas_ge_le_lintegral_div MeasureTheory.meas_ge_le_lintegral_div
theorem ae_eq_of_ae_le_of_lintegral_le {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) (hf : ∫⁻ x, f x ∂μ ≠ ∞)
(hg : AEMeasurable g μ) (hgf : ∫⁻ x, g x ∂μ ≤ ∫⁻ x, f x ∂μ) : f =ᵐ[μ] g := by
have : ∀ n : ℕ, ∀ᵐ x ∂μ, g x < f x + (n : ℝ≥0∞)⁻¹ := by
intro n
simp only [ae_iff, not_lt]
have : ∫⁻ x, f x ∂μ + (↑n)⁻¹ * μ { x : α | f x + (n : ℝ≥0∞)⁻¹ ≤ g x } ≤ ∫⁻ x, f x ∂μ :=
(lintegral_add_mul_meas_add_le_le_lintegral hfg hg n⁻¹).trans hgf
rw [(ENNReal.cancel_of_ne hf).add_le_iff_nonpos_right, nonpos_iff_eq_zero, mul_eq_zero] at this
exact this.resolve_left (ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _))
refine hfg.mp ((ae_all_iff.2 this).mono fun x hlt hle => hle.antisymm ?_)
suffices Tendsto (fun n : ℕ => f x + (n : ℝ≥0∞)⁻¹) atTop (𝓝 (f x)) from
ge_of_tendsto' this fun i => (hlt i).le
simpa only [inv_top, add_zero] using
tendsto_const_nhds.add (ENNReal.tendsto_inv_iff.2 ENNReal.tendsto_nat_nhds_top)
#align measure_theory.ae_eq_of_ae_le_of_lintegral_le MeasureTheory.ae_eq_of_ae_le_of_lintegral_le
@[simp]
theorem lintegral_eq_zero_iff' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 :=
have : ∫⁻ _ : α, 0 ∂μ ≠ ∞ := by simp [lintegral_zero, zero_ne_top]
⟨fun h =>
(ae_eq_of_ae_le_of_lintegral_le (ae_of_all _ <| zero_le f) this hf
(h.trans lintegral_zero.symm).le).symm,
fun h => (lintegral_congr_ae h).trans lintegral_zero⟩
#align measure_theory.lintegral_eq_zero_iff' MeasureTheory.lintegral_eq_zero_iff'
@[simp]
theorem lintegral_eq_zero_iff {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 :=
lintegral_eq_zero_iff' hf.aemeasurable
#align measure_theory.lintegral_eq_zero_iff MeasureTheory.lintegral_eq_zero_iff
theorem lintegral_pos_iff_support {f : α → ℝ≥0∞} (hf : Measurable f) :
(0 < ∫⁻ a, f a ∂μ) ↔ 0 < μ (Function.support f) := by
simp [pos_iff_ne_zero, hf, Filter.EventuallyEq, ae_iff, Function.support]
#align measure_theory.lintegral_pos_iff_support MeasureTheory.lintegral_pos_iff_support
theorem setLintegral_pos_iff {f : α → ℝ≥0∞} (hf : Measurable f) {s : Set α} :
0 < ∫⁻ a in s, f a ∂μ ↔ 0 < μ (Function.support f ∩ s) := by
rw [lintegral_pos_iff_support hf, Measure.restrict_apply (measurableSet_support hf)]
theorem lintegral_iSup_ae {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n))
(h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f n.succ a) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
let ⟨s, hs⟩ := exists_measurable_superset_of_null (ae_iff.1 (ae_all_iff.2 h_mono))
let g n a := if a ∈ s then 0 else f n a
have g_eq_f : ∀ᵐ a ∂μ, ∀ n, g n a = f n a :=
(measure_zero_iff_ae_nmem.1 hs.2.2).mono fun a ha n => if_neg ha
calc
∫⁻ a, ⨆ n, f n a ∂μ = ∫⁻ a, ⨆ n, g n a ∂μ :=
lintegral_congr_ae <| g_eq_f.mono fun a ha => by simp only [ha]
_ = ⨆ n, ∫⁻ a, g n a ∂μ :=
(lintegral_iSup (fun n => measurable_const.piecewise hs.2.1 (hf n))
(monotone_nat_of_le_succ fun n a => ?_))
_ = ⨆ n, ∫⁻ a, f n a ∂μ := by simp only [lintegral_congr_ae (g_eq_f.mono fun _a ha => ha _)]
simp only [g]
split_ifs with h
· rfl
· have := Set.not_mem_subset hs.1 h
simp only [not_forall, not_le, mem_setOf_eq, not_exists, not_lt] at this
exact this n
#align measure_theory.lintegral_supr_ae MeasureTheory.lintegral_iSup_ae
theorem lintegral_sub' {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞)
(h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ := by
refine ENNReal.eq_sub_of_add_eq hg_fin ?_
rw [← lintegral_add_right' _ hg]
exact lintegral_congr_ae (h_le.mono fun x hx => tsub_add_cancel_of_le hx)
#align measure_theory.lintegral_sub' MeasureTheory.lintegral_sub'
theorem lintegral_sub {f g : α → ℝ≥0∞} (hg : Measurable g) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞)
(h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ :=
lintegral_sub' hg.aemeasurable hg_fin h_le
#align measure_theory.lintegral_sub MeasureTheory.lintegral_sub
theorem lintegral_sub_le' (f g : α → ℝ≥0∞) (hf : AEMeasurable f μ) :
∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ := by
rw [tsub_le_iff_right]
by_cases hfi : ∫⁻ x, f x ∂μ = ∞
· rw [hfi, add_top]
exact le_top
· rw [← lintegral_add_right' _ hf]
gcongr
exact le_tsub_add
#align measure_theory.lintegral_sub_le' MeasureTheory.lintegral_sub_le'
theorem lintegral_sub_le (f g : α → ℝ≥0∞) (hf : Measurable f) :
∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ :=
lintegral_sub_le' f g hf.aemeasurable
#align measure_theory.lintegral_sub_le MeasureTheory.lintegral_sub_le
theorem lintegral_strict_mono_of_ae_le_of_frequently_ae_lt {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) (h : ∃ᵐ x ∂μ, f x ≠ g x) :
∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by
contrapose! h
simp only [not_frequently, Ne, Classical.not_not]
exact ae_eq_of_ae_le_of_lintegral_le h_le hfi hg h
#align measure_theory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt MeasureTheory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt
theorem lintegral_strict_mono_of_ae_le_of_ae_lt_on {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) {s : Set α} (hμs : μ s ≠ 0)
(h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ :=
lintegral_strict_mono_of_ae_le_of_frequently_ae_lt hg hfi h_le <|
((frequently_ae_mem_iff.2 hμs).and_eventually h).mono fun _x hx => (hx.2 hx.1).ne
#align measure_theory.lintegral_strict_mono_of_ae_le_of_ae_lt_on MeasureTheory.lintegral_strict_mono_of_ae_le_of_ae_lt_on
theorem lintegral_strict_mono {f g : α → ℝ≥0∞} (hμ : μ ≠ 0) (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h : ∀ᵐ x ∂μ, f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by
rw [Ne, ← Measure.measure_univ_eq_zero] at hμ
refine lintegral_strict_mono_of_ae_le_of_ae_lt_on hg hfi (ae_le_of_ae_lt h) hμ ?_
simpa using h
#align measure_theory.lintegral_strict_mono MeasureTheory.lintegral_strict_mono
theorem set_lintegral_strict_mono {f g : α → ℝ≥0∞} {s : Set α} (hsm : MeasurableSet s)
(hs : μ s ≠ 0) (hg : Measurable g) (hfi : ∫⁻ x in s, f x ∂μ ≠ ∞)
(h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x in s, f x ∂μ < ∫⁻ x in s, g x ∂μ :=
lintegral_strict_mono (by simp [hs]) hg.aemeasurable hfi ((ae_restrict_iff' hsm).mpr h)
#align measure_theory.set_lintegral_strict_mono MeasureTheory.set_lintegral_strict_mono
theorem lintegral_iInf_ae {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n))
(h_mono : ∀ n : ℕ, f n.succ ≤ᵐ[μ] f n) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) :
∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ :=
have fn_le_f0 : ∫⁻ a, ⨅ n, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ :=
lintegral_mono fun a => iInf_le_of_le 0 le_rfl
have fn_le_f0' : ⨅ n, ∫⁻ a, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ := iInf_le_of_le 0 le_rfl
(ENNReal.sub_right_inj h_fin fn_le_f0 fn_le_f0').1 <|
show ∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ from
calc
∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a - ⨅ n, f n a ∂μ :=
(lintegral_sub (measurable_iInf h_meas)
(ne_top_of_le_ne_top h_fin <| lintegral_mono fun a => iInf_le _ _)
(ae_of_all _ fun a => iInf_le _ _)).symm
_ = ∫⁻ a, ⨆ n, f 0 a - f n a ∂μ := congr rfl (funext fun a => ENNReal.sub_iInf)
_ = ⨆ n, ∫⁻ a, f 0 a - f n a ∂μ :=
(lintegral_iSup_ae (fun n => (h_meas 0).sub (h_meas n)) fun n =>
(h_mono n).mono fun a ha => tsub_le_tsub le_rfl ha)
_ = ⨆ n, ∫⁻ a, f 0 a ∂μ - ∫⁻ a, f n a ∂μ :=
(have h_mono : ∀ᵐ a ∂μ, ∀ n : ℕ, f n.succ a ≤ f n a := ae_all_iff.2 h_mono
have h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f 0 a := fun n =>
h_mono.mono fun a h => by
induction' n with n ih
· exact le_rfl
· exact le_trans (h n) ih
congr_arg iSup <|
funext fun n =>
lintegral_sub (h_meas _) (ne_top_of_le_ne_top h_fin <| lintegral_mono_ae <| h_mono n)
(h_mono n))
_ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ := ENNReal.sub_iInf.symm
#align measure_theory.lintegral_infi_ae MeasureTheory.lintegral_iInf_ae
theorem lintegral_iInf {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) (h_anti : Antitone f)
(h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) : ∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ :=
lintegral_iInf_ae h_meas (fun n => ae_of_all _ <| h_anti n.le_succ) h_fin
#align measure_theory.lintegral_infi MeasureTheory.lintegral_iInf
theorem lintegral_iInf' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ)
(h_anti : ∀ᵐ a ∂μ, Antitone (fun i ↦ f i a)) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) :
∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iInf_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Antitone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_anti
have h_ae_seq_mono : Antitone (aeSeq h_meas p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet h_meas p
· exact aeSeq.prop_of_mem_aeSeqSet h_meas hx hnm
· simp only [aeSeq, hx, if_false]
exact le_rfl
rw [lintegral_congr_ae (aeSeq.iInf h_meas hp).symm]
simp_rw [iInf_apply]
rw [lintegral_iInf (aeSeq.measurable h_meas p) h_ae_seq_mono]
· congr
exact funext fun n ↦ lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp n)
· rwa [lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp 0)]
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 1,081 | 1,106 | theorem lintegral_iInf_directed_of_measurable {mα : MeasurableSpace α} [Countable β]
{f : β → α → ℝ≥0∞} {μ : Measure α} (hμ : μ ≠ 0) (hf : ∀ b, Measurable (f b))
(hf_int : ∀ b, ∫⁻ a, f b a ∂μ ≠ ∞) (h_directed : Directed (· ≥ ·) f) :
∫⁻ a, ⨅ b, f b a ∂μ = ⨅ b, ∫⁻ a, f b a ∂μ := by |
cases nonempty_encodable β
cases isEmpty_or_nonempty β
· simp only [iInf_of_empty, lintegral_const,
ENNReal.top_mul (Measure.measure_univ_ne_zero.mpr hμ)]
inhabit β
have : ∀ a, ⨅ b, f b a = ⨅ n, f (h_directed.sequence f n) a := by
refine fun a =>
le_antisymm (le_iInf fun n => iInf_le _ _)
(le_iInf fun b => iInf_le_of_le (Encodable.encode b + 1) ?_)
exact h_directed.sequence_le b a
-- Porting note: used `∘` below to deal with its reduced reducibility
calc
∫⁻ a, ⨅ b, f b a ∂μ
_ = ∫⁻ a, ⨅ n, (f ∘ h_directed.sequence f) n a ∂μ := by simp only [this, Function.comp_apply]
_ = ⨅ n, ∫⁻ a, (f ∘ h_directed.sequence f) n a ∂μ := by
rw [lintegral_iInf ?_ h_directed.sequence_anti]
· exact hf_int _
· exact fun n => hf _
_ = ⨅ b, ∫⁻ a, f b a ∂μ := by
refine le_antisymm (le_iInf fun b => ?_) (le_iInf fun n => ?_)
· exact iInf_le_of_le (Encodable.encode b + 1) (lintegral_mono <| h_directed.sequence_le b)
· exact iInf_le (fun b => ∫⁻ a, f b a ∂μ) _
|
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.RingTheory.Localization.FractionRing
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] [IsDomain R] {p q : R[X]}
section Roots
open Multiset Finset
noncomputable def roots (p : R[X]) : Multiset R :=
haveI := Classical.decEq R
haveI := Classical.dec (p = 0)
if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h)
#align polynomial.roots Polynomial.roots
theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] :
p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by
-- porting noteL `‹_›` doesn't work for instance arguments
rename_i iR ip0
obtain rfl := Subsingleton.elim iR (Classical.decEq R)
obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0))
rfl
#align polynomial.roots_def Polynomial.roots_def
@[simp]
theorem roots_zero : (0 : R[X]).roots = 0 :=
dif_pos rfl
#align polynomial.roots_zero Polynomial.roots_zero
theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by
classical
unfold roots
rw [dif_neg hp0]
exact (Classical.choose_spec (exists_multiset_roots hp0)).1
#align polynomial.card_roots Polynomial.card_roots
theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by
by_cases hp0 : p = 0
· simp [hp0]
exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0))
#align polynomial.card_roots' Polynomial.card_roots'
theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) :
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p :=
calc
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) :=
card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le
_ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C Polynomial.card_roots_sub_C
theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) :
Multiset.card (p - C a).roots ≤ natDegree p :=
WithBot.coe_le_coe.1
(le_trans (card_roots_sub_C hp0)
(le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl]))
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C' Polynomial.card_roots_sub_C'
@[simp]
theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by
classical
by_cases hp : p = 0
· simp [hp]
rw [roots_def, dif_neg hp]
exact (Classical.choose_spec (exists_multiset_roots hp)).2 a
#align polynomial.count_roots Polynomial.count_roots
@[simp]
theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by
classical
rw [← count_pos, count_roots p, rootMultiplicity_pos']
#align polynomial.mem_roots' Polynomial.mem_roots'
theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a :=
mem_roots'.trans <| and_iff_right hp
#align polynomial.mem_roots Polynomial.mem_roots
theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 :=
(mem_roots'.1 h).1
#align polynomial.ne_zero_of_mem_roots Polynomial.ne_zero_of_mem_roots
theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a :=
(mem_roots'.1 h).2
#align polynomial.is_root_of_mem_roots Polynomial.isRoot_of_mem_roots
-- Porting note: added during port.
lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by
rw [mem_roots w, IsRoot.def, aeval_def, eval₂_eq_eval_map]
simp
theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) :
Z.card ≤ p.natDegree :=
(Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p)
#align polynomial.card_le_degree_of_subset_roots Polynomial.card_le_degree_of_subset_roots
theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by
classical
simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp]
using p.roots.toFinset.finite_toSet
#align polynomial.finite_set_of_is_root Polynomial.finite_setOf_isRoot
theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 :=
not_imp_comm.mp finite_setOf_isRoot h
#align polynomial.eq_zero_of_infinite_is_root Polynomial.eq_zero_of_infinite_isRoot
theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ :=
Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_max_root Polynomial.exists_max_root
theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x :=
Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_min_root Polynomial.exists_min_root
theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) :
p = q := by
rw [← sub_eq_zero]
apply eq_zero_of_infinite_isRoot
simpa only [IsRoot, eval_sub, sub_eq_zero]
#align polynomial.eq_of_infinite_eval_eq Polynomial.eq_of_infinite_eval_eq
theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by
classical
exact Multiset.ext.mpr fun r => by
rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq]
#align polynomial.roots_mul Polynomial.roots_mul
theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by
rintro ⟨k, rfl⟩
exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩
#align polynomial.roots.le_of_dvd Polynomial.roots.le_of_dvd
theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by
rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C]
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C' Polynomial.mem_roots_sub_C'
theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) :
x ∈ (p - C a).roots ↔ p.eval x = a :=
mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C Polynomial.mem_roots_sub_C
@[simp]
theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by
classical
ext s
rw [count_roots, rootMultiplicity_X_sub_C, count_singleton]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_sub_C Polynomial.roots_X_sub_C
@[simp]
theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X Polynomial.roots_X
@[simp]
theorem roots_C (x : R) : (C x).roots = 0 := by
classical exact
if H : x = 0 then by rw [H, C_0, roots_zero]
else
Multiset.ext.mpr fun r => (by
rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)])
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C Polynomial.roots_C
@[simp]
theorem roots_one : (1 : R[X]).roots = ∅ :=
roots_C 1
#align polynomial.roots_one Polynomial.roots_one
@[simp]
theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by
by_cases hp : p = 0 <;>
simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C,
zero_add, mul_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul Polynomial.roots_C_mul
@[simp]
theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by
rw [smul_eq_C_mul, roots_C_mul _ ha]
#align polynomial.roots_smul_nonzero Polynomial.roots_smul_nonzero
@[simp]
lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by
rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)]
theorem roots_list_prod (L : List R[X]) :
(0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots :=
List.recOn L (fun _ => roots_one) fun hd tl ih H => by
rw [List.mem_cons, not_or] at H
rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ←
Multiset.cons_coe, Multiset.cons_bind, ih H.2]
#align polynomial.roots_list_prod Polynomial.roots_list_prod
theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by
rcases m with ⟨L⟩
simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L
#align polynomial.roots_multiset_prod Polynomial.roots_multiset_prod
theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) :
s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by
rcases s with ⟨m, hm⟩
simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f)
#align polynomial.roots_prod Polynomial.roots_prod
@[simp]
theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by
induction' n with n ihn
· rw [pow_zero, roots_one, zero_smul, empty_eq_zero]
· rcases eq_or_ne p 0 with (rfl | hp)
· rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero]
· rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul]
#align polynomial.roots_pow Polynomial.roots_pow
theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by
rw [roots_pow, roots_X]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_pow Polynomial.roots_X_pow
theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) :
Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by
rw [roots_C_mul _ ha, roots_X_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul_X_pow Polynomial.roots_C_mul_X_pow
@[simp]
theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by
rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha]
#align polynomial.roots_monomial Polynomial.roots_monomial
theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by
apply (roots_prod (fun a => X - C a) s ?_).trans
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a)
set_option linter.uppercaseLean3 false in
#align polynomial.roots_prod_X_sub_C Polynomial.roots_prod_X_sub_C
@[simp]
theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by
rw [roots_multiset_prod, Multiset.bind_map]
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· rw [Multiset.mem_map]
rintro ⟨a, -, h⟩
exact X_sub_C_ne_zero a h
set_option linter.uppercaseLean3 false in
#align polynomial.roots_multiset_prod_X_sub_C Polynomial.roots_multiset_prod_X_sub_C
theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) :
Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n :=
WithBot.coe_le_coe.1 <|
calc
(Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) :=
card_roots (X_pow_sub_C_ne_zero hn a)
_ = n := degree_X_pow_sub_C hn a
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_X_pow_sub_C Polynomial.card_roots_X_pow_sub_C
section NthRoots
def nthRoots (n : ℕ) (a : R) : Multiset R :=
roots ((X : R[X]) ^ n - C a)
#align polynomial.nth_roots Polynomial.nthRoots
@[simp]
theorem mem_nthRoots {n : ℕ} (hn : 0 < n) {a x : R} : x ∈ nthRoots n a ↔ x ^ n = a := by
rw [nthRoots, mem_roots (X_pow_sub_C_ne_zero hn a), IsRoot.def, eval_sub, eval_C, eval_pow,
eval_X, sub_eq_zero]
#align polynomial.mem_nth_roots Polynomial.mem_nthRoots
@[simp]
theorem nthRoots_zero (r : R) : nthRoots 0 r = 0 := by
simp only [empty_eq_zero, pow_zero, nthRoots, ← C_1, ← C_sub, roots_C]
#align polynomial.nth_roots_zero Polynomial.nthRoots_zero
@[simp]
theorem nthRoots_zero_right {R} [CommRing R] [IsDomain R] (n : ℕ) :
nthRoots n (0 : R) = Multiset.replicate n 0 := by
rw [nthRoots, C.map_zero, sub_zero, roots_pow, roots_X, Multiset.nsmul_singleton]
theorem card_nthRoots (n : ℕ) (a : R) : Multiset.card (nthRoots n a) ≤ n := by
classical exact
(if hn : n = 0 then
if h : (X : R[X]) ^ n - C a = 0 then by
simp [Nat.zero_le, nthRoots, roots, h, dif_pos rfl, empty_eq_zero, Multiset.card_zero]
else
WithBot.coe_le_coe.1
(le_trans (card_roots h)
(by
rw [hn, pow_zero, ← C_1, ← RingHom.map_sub]
exact degree_C_le))
else by
rw [← Nat.cast_le (α := WithBot ℕ)]
rw [← degree_X_pow_sub_C (Nat.pos_of_ne_zero hn) a]
exact card_roots (X_pow_sub_C_ne_zero (Nat.pos_of_ne_zero hn) a))
#align polynomial.card_nth_roots Polynomial.card_nthRoots
@[simp]
theorem nthRoots_two_eq_zero_iff {r : R} : nthRoots 2 r = 0 ↔ ¬IsSquare r := by
simp_rw [isSquare_iff_exists_sq, eq_zero_iff_forall_not_mem, mem_nthRoots (by norm_num : 0 < 2),
← not_exists, eq_comm]
#align polynomial.nth_roots_two_eq_zero_iff Polynomial.nthRoots_two_eq_zero_iff
def nthRootsFinset (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : Finset R :=
haveI := Classical.decEq R
Multiset.toFinset (nthRoots n (1 : R))
#align polynomial.nth_roots_finset Polynomial.nthRootsFinset
-- Porting note (#10756): new lemma
lemma nthRootsFinset_def (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] [DecidableEq R] :
nthRootsFinset n R = Multiset.toFinset (nthRoots n (1 : R)) := by
unfold nthRootsFinset
convert rfl
@[simp]
theorem mem_nthRootsFinset {n : ℕ} (h : 0 < n) {x : R} :
x ∈ nthRootsFinset n R ↔ x ^ (n : ℕ) = 1 := by
classical
rw [nthRootsFinset_def, mem_toFinset, mem_nthRoots h]
#align polynomial.mem_nth_roots_finset Polynomial.mem_nthRootsFinset
@[simp]
theorem nthRootsFinset_zero : nthRootsFinset 0 R = ∅ := by classical simp [nthRootsFinset_def]
#align polynomial.nth_roots_finset_zero Polynomial.nthRootsFinset_zero
theorem mul_mem_nthRootsFinset
{η₁ η₂ : R} (hη₁ : η₁ ∈ nthRootsFinset n R) (hη₂ : η₂ ∈ nthRootsFinset n R) :
η₁ * η₂ ∈ nthRootsFinset n R := by
cases n with
| zero =>
simp only [Nat.zero_eq, nthRootsFinset_zero, not_mem_empty] at hη₁
| succ n =>
rw [mem_nthRootsFinset n.succ_pos] at hη₁ hη₂ ⊢
rw [mul_pow, hη₁, hη₂, one_mul]
theorem ne_zero_of_mem_nthRootsFinset {η : R} (hη : η ∈ nthRootsFinset n R) : η ≠ 0 := by
nontriviality R
rintro rfl
cases n with
| zero =>
simp only [Nat.zero_eq, nthRootsFinset_zero, not_mem_empty] at hη
| succ n =>
rw [mem_nthRootsFinset n.succ_pos, zero_pow n.succ_ne_zero] at hη
exact zero_ne_one hη
| Mathlib/Algebra/Polynomial/Roots.lean | 390 | 391 | theorem one_mem_nthRootsFinset (hn : 0 < n) : 1 ∈ nthRootsFinset n R := by |
rw [mem_nthRootsFinset hn, one_pow]
|
import Mathlib.Algebra.Ring.Divisibility.Lemmas
import Mathlib.Algebra.Lie.Nilpotent
import Mathlib.Algebra.Lie.Engel
import Mathlib.LinearAlgebra.Eigenspace.Triangularizable
import Mathlib.RingTheory.Artinian
import Mathlib.LinearAlgebra.Trace
import Mathlib.LinearAlgebra.FreeModule.PID
#align_import algebra.lie.weights from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
variable {K R L M : Type*} [CommRing R] [LieRing L] [LieAlgebra R L] [LieAlgebra.IsNilpotent R L]
[AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
namespace LieModule
open Set Function LieAlgebra TensorProduct TensorProduct.LieModule
open scoped TensorProduct
variable (M)
theorem mem_weightSpaceOf (χ : R) (x : L) (m : M) :
m ∈ weightSpaceOf M χ x ↔ ∃ k : ℕ, ((toEnd R L M x - χ • ↑1) ^ k) m = 0 := by
simp [weightSpaceOf]
theorem coe_weightSpaceOf_zero (x : L) :
↑(weightSpaceOf M (0 : R) x) = ⨆ k, LinearMap.ker (toEnd R L M x ^ k) := by
simp [weightSpaceOf, Module.End.maxGenEigenspace]
def weightSpace (χ : L → R) : LieSubmodule R L M :=
⨅ x, weightSpaceOf M (χ x) x
theorem mem_weightSpace (χ : L → R) (m : M) :
m ∈ weightSpace M χ ↔ ∀ x, ∃ k : ℕ, ((toEnd R L M x - χ x • ↑1) ^ k) m = 0 := by
simp [weightSpace, mem_weightSpaceOf]
lemma weightSpace_le_weightSpaceOf (x : L) (χ : L → R) :
weightSpace M χ ≤ weightSpaceOf M (χ x) x :=
iInf_le _ x
variable (R L) in
structure Weight where
toFun : L → R
weightSpace_ne_bot' : weightSpace M toFun ≠ ⊥
@[simp]
theorem zero_weightSpace_eq_top_of_nilpotent' [IsNilpotent R L M] :
weightSpace M (0 : L → R) = ⊤ := by
ext
simp [weightSpace, weightSpaceOf]
#align lie_module.zero_weight_space_eq_top_of_nilpotent' LieModule.zero_weightSpace_eq_top_of_nilpotent'
theorem coe_weightSpace_of_top (χ : L → R) :
(weightSpace M (χ ∘ (⊤ : LieSubalgebra R L).incl) : Submodule R M) = weightSpace M χ := by
ext m
simp only [mem_weightSpace, LieSubmodule.mem_coeSubmodule, Subtype.forall]
apply forall_congr'
simp
#align lie_module.coe_weight_space_of_top LieModule.coe_weightSpace_of_top
@[simp]
theorem zero_weightSpace_eq_top_of_nilpotent [IsNilpotent R L M] :
weightSpace M (0 : (⊤ : LieSubalgebra R L) → R) = ⊤ := by
ext m
simp only [mem_weightSpace, Pi.zero_apply, zero_smul, sub_zero, Subtype.forall, forall_true_left,
LieSubalgebra.toEnd_mk, LieSubalgebra.mem_top, LieSubmodule.mem_top, iff_true]
intro x
obtain ⟨k, hk⟩ := exists_forall_pow_toEnd_eq_zero R L M
exact ⟨k, by simp [hk x]⟩
#align lie_module.zero_weight_space_eq_top_of_nilpotent LieModule.zero_weightSpace_eq_top_of_nilpotent
theorem exists_weightSpace_le_ker_of_isNoetherian [IsNoetherian R M] (χ : L → R) (x : L) :
∃ k : ℕ,
weightSpace M χ ≤ LinearMap.ker ((toEnd R L M x - algebraMap R _ (χ x)) ^ k) := by
use (toEnd R L M x).maxGenEigenspaceIndex (χ x)
intro m hm
replace hm : m ∈ (toEnd R L M x).maxGenEigenspace (χ x) :=
weightSpace_le_weightSpaceOf M x χ hm
rwa [Module.End.maxGenEigenspace_eq] at hm
variable (R) in
| Mathlib/Algebra/Lie/Weights/Basic.lean | 316 | 319 | theorem exists_weightSpace_zero_le_ker_of_isNoetherian
[IsNoetherian R M] (x : L) :
∃ k : ℕ, weightSpace M (0 : L → R) ≤ LinearMap.ker (toEnd R L M x ^ k) := by |
simpa using exists_weightSpace_le_ker_of_isNoetherian M (0 : L → R) x
|
import Mathlib.Algebra.MonoidAlgebra.Degree
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
#align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v w
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
variable [CommSemiring R] {p q : MvPolynomial σ R}
section Degrees
def degrees (p : MvPolynomial σ R) : Multiset σ :=
letI := Classical.decEq σ
p.support.sup fun s : σ →₀ ℕ => toMultiset s
#align mv_polynomial.degrees MvPolynomial.degrees
theorem degrees_def [DecidableEq σ] (p : MvPolynomial σ R) :
p.degrees = p.support.sup fun s : σ →₀ ℕ => Finsupp.toMultiset s := by rw [degrees]; convert rfl
#align mv_polynomial.degrees_def MvPolynomial.degrees_def
theorem degrees_monomial (s : σ →₀ ℕ) (a : R) : degrees (monomial s a) ≤ toMultiset s := by
classical
refine (supDegree_single s a).trans_le ?_
split_ifs
exacts [bot_le, le_rfl]
#align mv_polynomial.degrees_monomial MvPolynomial.degrees_monomial
theorem degrees_monomial_eq (s : σ →₀ ℕ) (a : R) (ha : a ≠ 0) :
degrees (monomial s a) = toMultiset s := by
classical
exact (supDegree_single s a).trans (if_neg ha)
#align mv_polynomial.degrees_monomial_eq MvPolynomial.degrees_monomial_eq
theorem degrees_C (a : R) : degrees (C a : MvPolynomial σ R) = 0 :=
Multiset.le_zero.1 <| degrees_monomial _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.degrees_C MvPolynomial.degrees_C
theorem degrees_X' (n : σ) : degrees (X n : MvPolynomial σ R) ≤ {n} :=
le_trans (degrees_monomial _ _) <| le_of_eq <| toMultiset_single _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.degrees_X' MvPolynomial.degrees_X'
@[simp]
theorem degrees_X [Nontrivial R] (n : σ) : degrees (X n : MvPolynomial σ R) = {n} :=
(degrees_monomial_eq _ (1 : R) one_ne_zero).trans (toMultiset_single _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.degrees_X MvPolynomial.degrees_X
@[simp]
theorem degrees_zero : degrees (0 : MvPolynomial σ R) = 0 := by
rw [← C_0]
exact degrees_C 0
#align mv_polynomial.degrees_zero MvPolynomial.degrees_zero
@[simp]
theorem degrees_one : degrees (1 : MvPolynomial σ R) = 0 :=
degrees_C 1
#align mv_polynomial.degrees_one MvPolynomial.degrees_one
theorem degrees_add [DecidableEq σ] (p q : MvPolynomial σ R) :
(p + q).degrees ≤ p.degrees ⊔ q.degrees := by
simp_rw [degrees_def]; exact supDegree_add_le
#align mv_polynomial.degrees_add MvPolynomial.degrees_add
| Mathlib/Algebra/MvPolynomial/Degrees.lean | 133 | 135 | theorem degrees_sum {ι : Type*} [DecidableEq σ] (s : Finset ι) (f : ι → MvPolynomial σ R) :
(∑ i ∈ s, f i).degrees ≤ s.sup fun i => (f i).degrees := by |
simp_rw [degrees_def]; exact supDegree_sum_le
|
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Data.PNat.Defs
#align_import data.pnat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
open Finset Function PNat
namespace PNat
variable (a b : ℕ+)
instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ+ := Subtype.instLocallyFiniteOrder _
theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Icc_eq_finset_subtype PNat.Icc_eq_finset_subtype
theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Ico_eq_finset_subtype PNat.Ico_eq_finset_subtype
theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Ioc_eq_finset_subtype PNat.Ioc_eq_finset_subtype
theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).subtype fun n : ℕ => 0 < n :=
rfl
#align pnat.Ioo_eq_finset_subtype PNat.Ioo_eq_finset_subtype
theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).subtype fun n : ℕ => 0 < n := rfl
#align pnat.uIcc_eq_finset_subtype PNat.uIcc_eq_finset_subtype
theorem map_subtype_embedding_Icc : (Icc a b).map (Embedding.subtype _) = Icc ↑a ↑b :=
Finset.map_subtype_embedding_Icc _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Icc PNat.map_subtype_embedding_Icc
theorem map_subtype_embedding_Ico : (Ico a b).map (Embedding.subtype _) = Ico ↑a ↑b :=
Finset.map_subtype_embedding_Ico _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Ico PNat.map_subtype_embedding_Ico
theorem map_subtype_embedding_Ioc : (Ioc a b).map (Embedding.subtype _) = Ioc ↑a ↑b :=
Finset.map_subtype_embedding_Ioc _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Ioc PNat.map_subtype_embedding_Ioc
theorem map_subtype_embedding_Ioo : (Ioo a b).map (Embedding.subtype _) = Ioo ↑a ↑b :=
Finset.map_subtype_embedding_Ioo _ _ _ fun _c _ _x hx _ hc _ => hc.trans_le hx
#align pnat.map_subtype_embedding_Ioo PNat.map_subtype_embedding_Ioo
theorem map_subtype_embedding_uIcc : (uIcc a b).map (Embedding.subtype _) = uIcc ↑a ↑b :=
map_subtype_embedding_Icc _ _
#align pnat.map_subtype_embedding_uIcc PNat.map_subtype_embedding_uIcc
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a := by
rw [← Nat.card_Icc]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Icc _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
#align pnat.card_Icc PNat.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a := by
rw [← Nat.card_Ico]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Ico _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
#align pnat.card_Ico PNat.card_Ico
@[simp]
| Mathlib/Data/PNat/Interval.lean | 85 | 90 | theorem card_Ioc : (Ioc a b).card = b - a := by |
rw [← Nat.card_Ioc]
-- Porting note: I had to change this to `erw` *and* provide the proof, yuck.
-- https://github.com/leanprover-community/mathlib4/issues/5164
erw [← Finset.map_subtype_embedding_Ioc _ a b (fun c x _ hx _ hc _ => hc.trans_le hx)]
rw [card_map]
|
import Mathlib.Algebra.Polynomial.Module.Basic
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.Noetherian
import Mathlib.RingTheory.ReesAlgebra
import Mathlib.RingTheory.Finiteness
import Mathlib.Order.Basic
import Mathlib.Order.Hom.Lattice
#align_import ring_theory.filtration from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe u v
variable {R M : Type u} [CommRing R] [AddCommGroup M] [Module R M] (I : Ideal R)
open Polynomial
open scoped Polynomial
@[ext]
structure Ideal.Filtration (M : Type u) [AddCommGroup M] [Module R M] where
N : ℕ → Submodule R M
mono : ∀ i, N (i + 1) ≤ N i
smul_le : ∀ i, I • N i ≤ N (i + 1)
#align ideal.filtration Ideal.Filtration
variable (F F' : I.Filtration M) {I}
namespace Ideal.Filtration
theorem pow_smul_le (i j : ℕ) : I ^ i • F.N j ≤ F.N (i + j) := by
induction' i with _ ih
· simp
· rw [pow_succ', mul_smul, add_assoc, add_comm 1, ← add_assoc]
exact (smul_mono_right _ ih).trans (F.smul_le _)
#align ideal.filtration.pow_smul_le Ideal.Filtration.pow_smul_le
theorem pow_smul_le_pow_smul (i j k : ℕ) : I ^ (i + k) • F.N j ≤ I ^ k • F.N (i + j) := by
rw [add_comm, pow_add, mul_smul]
exact smul_mono_right _ (F.pow_smul_le i j)
#align ideal.filtration.pow_smul_le_pow_smul Ideal.Filtration.pow_smul_le_pow_smul
protected theorem antitone : Antitone F.N :=
antitone_nat_of_succ_le F.mono
#align ideal.filtration.antitone Ideal.Filtration.antitone
@[simps]
def _root_.Ideal.trivialFiltration (I : Ideal R) (N : Submodule R M) : I.Filtration M where
N _ := N
mono _ := le_rfl
smul_le _ := Submodule.smul_le_right
#align ideal.trivial_filtration Ideal.trivialFiltration
instance : Sup (I.Filtration M) :=
⟨fun F F' =>
⟨F.N ⊔ F'.N, fun i => sup_le_sup (F.mono i) (F'.mono i), fun i =>
(Submodule.smul_sup _ _ _).trans_le <| sup_le_sup (F.smul_le i) (F'.smul_le i)⟩⟩
instance : SupSet (I.Filtration M) :=
⟨fun S =>
{ N := sSup (Ideal.Filtration.N '' S)
mono := fun i => by
apply sSup_le_sSup_of_forall_exists_le _
rintro _ ⟨⟨_, F, hF, rfl⟩, rfl⟩
exact ⟨_, ⟨⟨_, F, hF, rfl⟩, rfl⟩, F.mono i⟩
smul_le := fun i => by
rw [sSup_eq_iSup', iSup_apply, Submodule.smul_iSup, iSup_apply]
apply iSup_mono _
rintro ⟨_, F, hF, rfl⟩
exact F.smul_le i }⟩
instance : Inf (I.Filtration M) :=
⟨fun F F' =>
⟨F.N ⊓ F'.N, fun i => inf_le_inf (F.mono i) (F'.mono i), fun i =>
(smul_inf_le _ _ _).trans <| inf_le_inf (F.smul_le i) (F'.smul_le i)⟩⟩
instance : InfSet (I.Filtration M) :=
⟨fun S =>
{ N := sInf (Ideal.Filtration.N '' S)
mono := fun i => by
apply sInf_le_sInf_of_forall_exists_le _
rintro _ ⟨⟨_, F, hF, rfl⟩, rfl⟩
exact ⟨_, ⟨⟨_, F, hF, rfl⟩, rfl⟩, F.mono i⟩
smul_le := fun i => by
rw [sInf_eq_iInf', iInf_apply, iInf_apply]
refine smul_iInf_le.trans ?_
apply iInf_mono _
rintro ⟨_, F, hF, rfl⟩
exact F.smul_le i }⟩
instance : Top (I.Filtration M) :=
⟨I.trivialFiltration ⊤⟩
instance : Bot (I.Filtration M) :=
⟨I.trivialFiltration ⊥⟩
@[simp]
theorem sup_N : (F ⊔ F').N = F.N ⊔ F'.N :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.sup_N Ideal.Filtration.sup_N
@[simp]
theorem sSup_N (S : Set (I.Filtration M)) : (sSup S).N = sSup (Ideal.Filtration.N '' S) :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.Sup_N Ideal.Filtration.sSup_N
@[simp]
theorem inf_N : (F ⊓ F').N = F.N ⊓ F'.N :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.inf_N Ideal.Filtration.inf_N
@[simp]
theorem sInf_N (S : Set (I.Filtration M)) : (sInf S).N = sInf (Ideal.Filtration.N '' S) :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.Inf_N Ideal.Filtration.sInf_N
@[simp]
theorem top_N : (⊤ : I.Filtration M).N = ⊤ :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.top_N Ideal.Filtration.top_N
@[simp]
theorem bot_N : (⊥ : I.Filtration M).N = ⊥ :=
rfl
set_option linter.uppercaseLean3 false in
#align ideal.filtration.bot_N Ideal.Filtration.bot_N
@[simp]
theorem iSup_N {ι : Sort*} (f : ι → I.Filtration M) : (iSup f).N = ⨆ i, (f i).N :=
congr_arg sSup (Set.range_comp _ _).symm
set_option linter.uppercaseLean3 false in
#align ideal.filtration.supr_N Ideal.Filtration.iSup_N
@[simp]
theorem iInf_N {ι : Sort*} (f : ι → I.Filtration M) : (iInf f).N = ⨅ i, (f i).N :=
congr_arg sInf (Set.range_comp _ _).symm
set_option linter.uppercaseLean3 false in
#align ideal.filtration.infi_N Ideal.Filtration.iInf_N
instance : CompleteLattice (I.Filtration M) :=
Function.Injective.completeLattice Ideal.Filtration.N Ideal.Filtration.ext sup_N inf_N
(fun _ => sSup_image) (fun _ => sInf_image) top_N bot_N
instance : Inhabited (I.Filtration M) :=
⟨⊥⟩
def Stable : Prop :=
∃ n₀, ∀ n ≥ n₀, I • F.N n = F.N (n + 1)
#align ideal.filtration.stable Ideal.Filtration.Stable
@[simps]
def _root_.Ideal.stableFiltration (I : Ideal R) (N : Submodule R M) : I.Filtration M where
N i := I ^ i • N
mono i := by dsimp only; rw [add_comm, pow_add, mul_smul]; exact Submodule.smul_le_right
smul_le i := by dsimp only; rw [add_comm, pow_add, mul_smul, pow_one]
#align ideal.stable_filtration Ideal.stableFiltration
theorem _root_.Ideal.stableFiltration_stable (I : Ideal R) (N : Submodule R M) :
(I.stableFiltration N).Stable := by
use 0
intro n _
dsimp
rw [add_comm, pow_add, mul_smul, pow_one]
#align ideal.stable_filtration_stable Ideal.stableFiltration_stable
variable {F F'} (h : F.Stable)
theorem Stable.exists_pow_smul_eq : ∃ n₀, ∀ k, F.N (n₀ + k) = I ^ k • F.N n₀ := by
obtain ⟨n₀, hn⟩ := h
use n₀
intro k
induction' k with _ ih
· simp
· rw [← add_assoc, ← hn, ih, add_comm, pow_add, mul_smul, pow_one]
omega
#align ideal.filtration.stable.exists_pow_smul_eq Ideal.Filtration.Stable.exists_pow_smul_eq
theorem Stable.exists_pow_smul_eq_of_ge : ∃ n₀, ∀ n ≥ n₀, F.N n = I ^ (n - n₀) • F.N n₀ := by
obtain ⟨n₀, hn₀⟩ := h.exists_pow_smul_eq
use n₀
intro n hn
convert hn₀ (n - n₀)
rw [add_comm, tsub_add_cancel_of_le hn]
#align ideal.filtration.stable.exists_pow_smul_eq_of_ge Ideal.Filtration.Stable.exists_pow_smul_eq_of_ge
theorem stable_iff_exists_pow_smul_eq_of_ge :
F.Stable ↔ ∃ n₀, ∀ n ≥ n₀, F.N n = I ^ (n - n₀) • F.N n₀ := by
refine ⟨Stable.exists_pow_smul_eq_of_ge, fun h => ⟨h.choose, fun n hn => ?_⟩⟩
rw [h.choose_spec n hn, h.choose_spec (n + 1) (by omega), smul_smul, ← pow_succ',
tsub_add_eq_add_tsub hn]
#align ideal.filtration.stable_iff_exists_pow_smul_eq_of_ge Ideal.Filtration.stable_iff_exists_pow_smul_eq_of_ge
theorem Stable.exists_forall_le (h : F.Stable) (e : F.N 0 ≤ F'.N 0) :
∃ n₀, ∀ n, F.N (n + n₀) ≤ F'.N n := by
obtain ⟨n₀, hF⟩ := h
use n₀
intro n
induction' n with n hn
· refine (F.antitone ?_).trans e; simp
· rw [add_right_comm, ← hF]
· exact (smul_mono_right _ hn).trans (F'.smul_le _)
simp
#align ideal.filtration.stable.exists_forall_le Ideal.Filtration.Stable.exists_forall_le
theorem Stable.bounded_difference (h : F.Stable) (h' : F'.Stable) (e : F.N 0 = F'.N 0) :
∃ n₀, ∀ n, F.N (n + n₀) ≤ F'.N n ∧ F'.N (n + n₀) ≤ F.N n := by
obtain ⟨n₁, h₁⟩ := h.exists_forall_le (le_of_eq e)
obtain ⟨n₂, h₂⟩ := h'.exists_forall_le (le_of_eq e.symm)
use max n₁ n₂
intro n
refine ⟨(F.antitone ?_).trans (h₁ n), (F'.antitone ?_).trans (h₂ n)⟩ <;> simp
#align ideal.filtration.stable.bounded_difference Ideal.Filtration.Stable.bounded_difference
open PolynomialModule
variable (F F')
protected def submodule : Submodule (reesAlgebra I) (PolynomialModule R M) where
carrier := { f | ∀ i, f i ∈ F.N i }
add_mem' hf hg i := Submodule.add_mem _ (hf i) (hg i)
zero_mem' i := Submodule.zero_mem _
smul_mem' r f hf i := by
rw [Subalgebra.smul_def, PolynomialModule.smul_apply]
apply Submodule.sum_mem
rintro ⟨j, k⟩ e
rw [Finset.mem_antidiagonal] at e
subst e
exact F.pow_smul_le j k (Submodule.smul_mem_smul (r.2 j) (hf k))
#align ideal.filtration.submodule Ideal.Filtration.submodule
@[simp]
theorem mem_submodule (f : PolynomialModule R M) : f ∈ F.submodule ↔ ∀ i, f i ∈ F.N i :=
Iff.rfl
#align ideal.filtration.mem_submodule Ideal.Filtration.mem_submodule
theorem inf_submodule : (F ⊓ F').submodule = F.submodule ⊓ F'.submodule := by
ext
exact forall_and
#align ideal.filtration.inf_submodule Ideal.Filtration.inf_submodule
variable (I M)
def submoduleInfHom :
InfHom (I.Filtration M) (Submodule (reesAlgebra I) (PolynomialModule R M)) where
toFun := Ideal.Filtration.submodule
map_inf' := inf_submodule
#align ideal.filtration.submodule_inf_hom Ideal.Filtration.submoduleInfHom
variable {I M}
theorem submodule_closure_single :
AddSubmonoid.closure (⋃ i, single R i '' (F.N i : Set M)) = F.submodule.toAddSubmonoid := by
apply le_antisymm
· rw [AddSubmonoid.closure_le, Set.iUnion_subset_iff]
rintro i _ ⟨m, hm, rfl⟩ j
rw [single_apply]
split_ifs with h
· rwa [← h]
· exact (F.N j).zero_mem
· intro f hf
rw [← f.sum_single]
apply AddSubmonoid.sum_mem _ _
rintro c -
exact AddSubmonoid.subset_closure (Set.subset_iUnion _ c <| Set.mem_image_of_mem _ (hf c))
#align ideal.filtration.submodule_closure_single Ideal.Filtration.submodule_closure_single
theorem submodule_span_single :
Submodule.span (reesAlgebra I) (⋃ i, single R i '' (F.N i : Set M)) = F.submodule := by
rw [← Submodule.span_closure, submodule_closure_single, Submodule.coe_toAddSubmonoid]
exact Submodule.span_eq (Filtration.submodule F)
#align ideal.filtration.submodule_span_single Ideal.Filtration.submodule_span_single
theorem submodule_eq_span_le_iff_stable_ge (n₀ : ℕ) :
F.submodule = Submodule.span _ (⋃ i ≤ n₀, single R i '' (F.N i : Set M)) ↔
∀ n ≥ n₀, I • F.N n = F.N (n + 1) := by
rw [← submodule_span_single, ← LE.le.le_iff_eq, Submodule.span_le, Set.iUnion_subset_iff]
swap; · exact Submodule.span_mono (Set.iUnion₂_subset_iUnion _ _)
constructor
· intro H n hn
refine (F.smul_le n).antisymm ?_
intro x hx
obtain ⟨l, hl⟩ := (Finsupp.mem_span_iff_total _ _ _).mp (H _ ⟨x, hx, rfl⟩)
replace hl := congr_arg (fun f : ℕ →₀ M => f (n + 1)) hl
dsimp only at hl
erw [Finsupp.single_eq_same] at hl
rw [← hl, Finsupp.total_apply, Finsupp.sum_apply]
apply Submodule.sum_mem _ _
rintro ⟨_, _, ⟨n', rfl⟩, _, ⟨hn', rfl⟩, m, hm, rfl⟩ -
dsimp only [Subtype.coe_mk]
rw [Subalgebra.smul_def, smul_single_apply, if_pos (show n' ≤ n + 1 by omega)]
have e : n' ≤ n := by omega
have := F.pow_smul_le_pow_smul (n - n') n' 1
rw [tsub_add_cancel_of_le e, pow_one, add_comm _ 1, ← add_tsub_assoc_of_le e, add_comm] at this
exact this (Submodule.smul_mem_smul ((l _).2 <| n + 1 - n') hm)
· let F' := Submodule.span (reesAlgebra I) (⋃ i ≤ n₀, single R i '' (F.N i : Set M))
intro hF i
have : ∀ i ≤ n₀, single R i '' (F.N i : Set M) ⊆ F' := by
-- Porting note: Original proof was
-- `fun i hi => Set.Subset.trans (Set.subset_iUnion₂ i hi) Submodule.subset_span`
intro i hi
refine Set.Subset.trans ?_ Submodule.subset_span
refine @Set.subset_iUnion₂ _ _ _ (fun i => fun _ => ↑((single R i) '' ((N F i) : Set M))) i ?_
exact hi
induction' i with j hj
· exact this _ (zero_le _)
by_cases hj' : j.succ ≤ n₀
· exact this _ hj'
simp only [not_le, Nat.lt_succ_iff] at hj'
rw [← hF _ hj']
rintro _ ⟨m, hm, rfl⟩
refine Submodule.smul_induction_on hm (fun r hr m' hm' => ?_) (fun x y hx hy => ?_)
· rw [add_comm, ← monomial_smul_single]
exact F'.smul_mem
⟨_, reesAlgebra.monomial_mem.mpr (by rwa [pow_one])⟩ (hj <| Set.mem_image_of_mem _ hm')
· rw [map_add]
exact F'.add_mem hx hy
#align ideal.filtration.submodule_eq_span_le_iff_stable_ge Ideal.Filtration.submodule_eq_span_le_iff_stable_ge
| Mathlib/RingTheory/Filtration.lean | 371 | 403 | theorem submodule_fg_iff_stable (hF' : ∀ i, (F.N i).FG) : F.submodule.FG ↔ F.Stable := by |
classical
delta Ideal.Filtration.Stable
simp_rw [← F.submodule_eq_span_le_iff_stable_ge]
constructor
· rintro H
refine H.stabilizes_of_iSup_eq
⟨fun n₀ => Submodule.span _ (⋃ (i : ℕ) (_ : i ≤ n₀), single R i '' ↑(F.N i)), ?_⟩ ?_
· intro n m e
rw [Submodule.span_le, Set.iUnion₂_subset_iff]
intro i hi
refine Set.Subset.trans ?_ Submodule.subset_span
refine @Set.subset_iUnion₂ _ _ _ (fun i => fun _ => ↑((single R i) '' ((N F i) : Set M))) i ?_
exact hi.trans e
· dsimp
rw [← Submodule.span_iUnion, ← submodule_span_single]
congr 1
ext
simp only [Set.mem_iUnion, Set.mem_image, SetLike.mem_coe, exists_prop]
constructor
· rintro ⟨-, i, -, e⟩; exact ⟨i, e⟩
· rintro ⟨i, e⟩; exact ⟨i, i, le_refl i, e⟩
· rintro ⟨n, hn⟩
rw [hn]
simp_rw [Submodule.span_iUnion₂, ← Finset.mem_range_succ_iff, iSup_subtype']
apply Submodule.fg_iSup
rintro ⟨i, hi⟩
obtain ⟨s, hs⟩ := hF' i
have : Submodule.span (reesAlgebra I) (s.image (lsingle R i) : Set (PolynomialModule R M)) =
Submodule.span _ (single R i '' (F.N i : Set M)) := by
rw [Finset.coe_image, ← Submodule.span_span_of_tower R, ← Submodule.map_span, hs]; rfl
rw [Subtype.coe_mk, ← this]
exact ⟨_, rfl⟩
|
import Mathlib.Tactic.ApplyFun
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.Separation
#align_import topology.uniform_space.separation from "leanprover-community/mathlib"@"0c1f285a9f6e608ae2bdffa3f993eafb01eba829"
open Filter Set Function Topology Uniformity UniformSpace
open scoped Classical
noncomputable section
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
variable [UniformSpace α] [UniformSpace β] [UniformSpace γ]
instance (priority := 100) UniformSpace.to_regularSpace : RegularSpace α :=
.of_hasBasis
(fun _ ↦ nhds_basis_uniformity' uniformity_hasBasis_closed)
fun a _V hV ↦ isClosed_ball a hV.2
#align uniform_space.to_regular_space UniformSpace.to_regularSpace
#align separation_rel Inseparable
#noalign separated_equiv
#align separation_rel_iff_specializes specializes_iff_inseparable
#noalign separation_rel_iff_inseparable
theorem Filter.HasBasis.specializes_iff_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p s) {x y : α} : x ⤳ y ↔ ∀ i, p i → (x, y) ∈ s i :=
(nhds_basis_uniformity h).specializes_iff
theorem Filter.HasBasis.inseparable_iff_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p s) {x y : α} : Inseparable x y ↔ ∀ i, p i → (x, y) ∈ s i :=
specializes_iff_inseparable.symm.trans h.specializes_iff_uniformity
#align filter.has_basis.mem_separation_rel Filter.HasBasis.inseparable_iff_uniformity
theorem inseparable_iff_ker_uniformity {x y : α} : Inseparable x y ↔ (x, y) ∈ (𝓤 α).ker :=
(𝓤 α).basis_sets.inseparable_iff_uniformity
protected theorem Inseparable.nhds_le_uniformity {x y : α} (h : Inseparable x y) :
𝓝 (x, y) ≤ 𝓤 α := by
rw [h.prod rfl]
apply nhds_le_uniformity
theorem inseparable_iff_clusterPt_uniformity {x y : α} :
Inseparable x y ↔ ClusterPt (x, y) (𝓤 α) := by
refine ⟨fun h ↦ .of_nhds_le h.nhds_le_uniformity, fun h ↦ ?_⟩
simp_rw [uniformity_hasBasis_closed.inseparable_iff_uniformity, isClosed_iff_clusterPt]
exact fun U ⟨hU, hUc⟩ ↦ hUc _ <| h.mono <| le_principal_iff.2 hU
#align separated_space T0Space
theorem t0Space_iff_uniformity :
T0Space α ↔ ∀ x y, (∀ r ∈ 𝓤 α, (x, y) ∈ r) → x = y := by
simp only [t0Space_iff_inseparable, inseparable_iff_ker_uniformity, mem_ker, id]
#align separated_def t0Space_iff_uniformity
theorem t0Space_iff_uniformity' :
T0Space α ↔ Pairwise fun x y ↦ ∃ r ∈ 𝓤 α, (x, y) ∉ r := by
simp [t0Space_iff_not_inseparable, inseparable_iff_ker_uniformity]
#align separated_def' t0Space_iff_uniformity'
theorem t0Space_iff_ker_uniformity : T0Space α ↔ (𝓤 α).ker = diagonal α := by
simp_rw [t0Space_iff_uniformity, subset_antisymm_iff, diagonal_subset_iff, subset_def,
Prod.forall, Filter.mem_ker, mem_diagonal_iff, iff_self_and]
exact fun _ x s hs ↦ refl_mem_uniformity hs
#align separated_space_iff t0Space_iff_ker_uniformity
theorem eq_of_uniformity {α : Type*} [UniformSpace α] [T0Space α] {x y : α}
(h : ∀ {V}, V ∈ 𝓤 α → (x, y) ∈ V) : x = y :=
t0Space_iff_uniformity.mp ‹T0Space α› x y @h
#align eq_of_uniformity eq_of_uniformity
theorem eq_of_uniformity_basis {α : Type*} [UniformSpace α] [T0Space α] {ι : Sort*}
{p : ι → Prop} {s : ι → Set (α × α)} (hs : (𝓤 α).HasBasis p s) {x y : α}
(h : ∀ {i}, p i → (x, y) ∈ s i) : x = y :=
(hs.inseparable_iff_uniformity.2 @h).eq
#align eq_of_uniformity_basis eq_of_uniformity_basis
theorem eq_of_forall_symmetric {α : Type*} [UniformSpace α] [T0Space α] {x y : α}
(h : ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (x, y) ∈ V) : x = y :=
eq_of_uniformity_basis hasBasis_symmetric (by simpa)
#align eq_of_forall_symmetric eq_of_forall_symmetric
theorem eq_of_clusterPt_uniformity [T0Space α] {x y : α} (h : ClusterPt (x, y) (𝓤 α)) : x = y :=
(inseparable_iff_clusterPt_uniformity.2 h).eq
#align eq_of_cluster_pt_uniformity eq_of_clusterPt_uniformity
theorem Filter.Tendsto.inseparable_iff_uniformity {l : Filter β} [NeBot l] {f g : β → α} {a b : α}
(ha : Tendsto f l (𝓝 a)) (hb : Tendsto g l (𝓝 b)) :
Inseparable a b ↔ Tendsto (fun x ↦ (f x, g x)) l (𝓤 α) := by
refine ⟨fun h ↦ (ha.prod_mk_nhds hb).mono_right h.nhds_le_uniformity, fun h ↦ ?_⟩
rw [inseparable_iff_clusterPt_uniformity]
exact (ClusterPt.of_le_nhds (ha.prod_mk_nhds hb)).mono h
#align id_rel_sub_separation_relation Inseparable.rfl
#align separation_rel_comap Inducing.inseparable_iff
#align filter.has_basis.separation_rel Filter.HasBasis.ker
#noalign separation_rel_eq_inter_closure
#align is_closed_separation_rel isClosed_setOf_inseparable
#align separated_iff_t2 R1Space.t2Space_iff_t0Space
#align separated_t3 RegularSpace.t3Space_iff_t0Space
#align subtype.separated_space Subtype.t0Space
theorem isClosed_of_spaced_out [T0Space α] {V₀ : Set (α × α)} (V₀_in : V₀ ∈ 𝓤 α) {s : Set α}
(hs : s.Pairwise fun x y => (x, y) ∉ V₀) : IsClosed s := by
rcases comp_symm_mem_uniformity_sets V₀_in with ⟨V₁, V₁_in, V₁_symm, h_comp⟩
apply isClosed_of_closure_subset
intro x hx
rw [mem_closure_iff_ball] at hx
rcases hx V₁_in with ⟨y, hy, hy'⟩
suffices x = y by rwa [this]
apply eq_of_forall_symmetric
intro V V_in _
rcases hx (inter_mem V₁_in V_in) with ⟨z, hz, hz'⟩
obtain rfl : z = y := by
by_contra hzy
exact hs hz' hy' hzy (h_comp <| mem_comp_of_mem_ball V₁_symm (ball_inter_left x _ _ hz) hy)
exact ball_inter_right x _ _ hz
#align is_closed_of_spaced_out isClosed_of_spaced_out
theorem isClosed_range_of_spaced_out {ι} [T0Space α] {V₀ : Set (α × α)} (V₀_in : V₀ ∈ 𝓤 α)
{f : ι → α} (hf : Pairwise fun x y => (f x, f y) ∉ V₀) : IsClosed (range f) :=
isClosed_of_spaced_out V₀_in <| by
rintro _ ⟨x, rfl⟩ _ ⟨y, rfl⟩ h
exact hf (ne_of_apply_ne f h)
#align is_closed_range_of_spaced_out isClosed_range_of_spaced_out
#align uniform_space.separation_setoid inseparableSetoid
namespace SeparationQuotient
theorem comap_map_mk_uniformity : comap (Prod.map mk mk) (map (Prod.map mk mk) (𝓤 α)) = 𝓤 α := by
refine le_antisymm ?_ le_comap_map
refine ((((𝓤 α).basis_sets.map _).comap _).le_basis_iff uniformity_hasBasis_open).2 fun U hU ↦ ?_
refine ⟨U, hU.1, fun (x₁, x₂) ⟨(y₁, y₂), hyU, hxy⟩ ↦ ?_⟩
simp only [Prod.map, Prod.ext_iff, mk_eq_mk] at hxy
exact ((hxy.1.prod hxy.2).mem_open_iff hU.2).1 hyU
instance instUniformSpace : UniformSpace (SeparationQuotient α) where
uniformity := map (Prod.map mk mk) (𝓤 α)
symm := tendsto_map' <| tendsto_map.comp tendsto_swap_uniformity
comp := fun t ht ↦ by
rcases comp_open_symm_mem_uniformity_sets ht with ⟨U, hU, hUo, -, hUt⟩
refine mem_of_superset (mem_lift' <| image_mem_map hU) ?_
simp only [subset_def, Prod.forall, mem_compRel, mem_image, Prod.ext_iff]
rintro _ _ ⟨_, ⟨⟨x, y⟩, hxyU, rfl, rfl⟩, ⟨⟨y', z⟩, hyzU, hy, rfl⟩⟩
have : y' ⤳ y := (mk_eq_mk.1 hy).specializes
exact @hUt (x, z) ⟨y', this.mem_open (UniformSpace.isOpen_ball _ hUo) hxyU, hyzU⟩
nhds_eq_comap_uniformity := surjective_mk.forall.2 fun x ↦ comap_injective surjective_mk <| by
conv_lhs => rw [comap_mk_nhds_mk, nhds_eq_comap_uniformity, ← comap_map_mk_uniformity]
simp only [Filter.comap_comap, Function.comp, Prod.map_apply]
theorem uniformity_eq : 𝓤 (SeparationQuotient α) = (𝓤 α).map (Prod.map mk mk) := rfl
#align uniform_space.uniformity_quotient SeparationQuotient.uniformity_eq
theorem uniformContinuous_mk : UniformContinuous (mk : α → SeparationQuotient α) :=
le_rfl
#align uniform_space.uniform_continuous_quotient_mk SeparationQuotient.uniformContinuous_mk
theorem uniformContinuous_dom {f : SeparationQuotient α → β} :
UniformContinuous f ↔ UniformContinuous (f ∘ mk) :=
.rfl
#align uniform_space.uniform_continuous_quotient SeparationQuotient.uniformContinuous_dom
| Mathlib/Topology/UniformSpace/Separation.lean | 267 | 271 | theorem uniformContinuous_dom₂ {f : SeparationQuotient α × SeparationQuotient β → γ} :
UniformContinuous f ↔ UniformContinuous fun p : α × β ↦ f (mk p.1, mk p.2) := by |
simp only [UniformContinuous, uniformity_prod_eq_prod, uniformity_eq, prod_map_map_eq,
tendsto_map'_iff]
rfl
|
import Mathlib.Geometry.RingedSpace.PresheafedSpace
import Mathlib.CategoryTheory.Limits.Final
import Mathlib.Topology.Sheaves.Stalks
#align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
noncomputable section
universe v u v' u'
open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits
AlgebraicGeometry TopologicalSpace
variable {C : Type u} [Category.{v} C] [HasColimits C]
-- Porting note: no tidy tactic
-- attribute [local tidy] tactic.auto_cases_opens
-- this could be replaced by
-- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens
-- but it doesn't appear to be needed here.
open TopCat.Presheaf
namespace AlgebraicGeometry.PresheafedSpace
abbrev stalk (X : PresheafedSpace C) (x : X) : C :=
X.presheaf.stalk x
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk
def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) :
Y.stalk (α.base x) ⟶ X.stalk x :=
(stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap
@[elementwise, reassoc]
theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y)
(x : (Opens.map α.base).obj U) :
Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by
rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map_germ AlgebraicGeometry.PresheafedSpace.stalkMap_germ
@[simp, elementwise, reassoc]
theorem stalkMap_germ' {X Y : PresheafedSpace.{_, _, v} C}
(α : X ⟶ Y) (U : Opens Y) (x : X) (hx : α.base x ∈ U) :
Y.presheaf.germ ⟨α.base x, hx⟩ ≫ stalkMap α x = α.c.app (op U) ≫
X.presheaf.germ (U := (Opens.map α.base).obj U) ⟨x, hx⟩ :=
PresheafedSpace.stalkMap_germ α U ⟨x, hx⟩
namespace stalkMap
@[simp]
theorem id (X : PresheafedSpace.{_, _, v} C) (x : X) :
stalkMap (𝟙 X) x = 𝟙 (X.stalk x) := by
dsimp [stalkMap]
simp only [stalkPushforward.id]
erw [← map_comp]
convert (stalkFunctor C x).map_id X.presheaf
ext
simp only [id_c, id_comp, Pushforward.id_hom_app, op_obj, eqToHom_refl, map_id]
rfl
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.id AlgebraicGeometry.PresheafedSpace.stalkMap.id
@[simp]
theorem comp {X Y Z : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (β : Y ⟶ Z) (x : X) :
stalkMap (α ≫ β) x =
(stalkMap β (α.base x) : Z.stalk (β.base (α.base x)) ⟶ Y.stalk (α.base x)) ≫
(stalkMap α x : Y.stalk (α.base x) ⟶ X.stalk x) := by
dsimp [stalkMap, stalkFunctor, stalkPushforward]
-- We can't use `ext` here due to https://github.com/leanprover/std4/pull/159
refine colimit.hom_ext fun U => ?_
induction U with | h U => ?_
cases U
simp only [whiskeringLeft_obj_obj, comp_obj, op_obj, unop_op, OpenNhds.inclusion_obj,
ι_colimMap_assoc, pushforwardObj_obj, Opens.map_comp_obj, whiskerLeft_app, comp_c_app,
OpenNhds.map_obj, whiskerRight_app, NatTrans.id_app, map_id, colimit.ι_pre, id_comp, assoc,
colimit.ι_pre_assoc]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.comp AlgebraicGeometry.PresheafedSpace.stalkMap.comp
theorem congr {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y)
(h₁ : α = β) (x x' : X) (h₂ : x = x') :
stalkMap α x ≫ eqToHom (show X.stalk x = X.stalk x' by rw [h₂]) =
eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x') by rw [h₁, h₂]) ≫ stalkMap β x' := by
ext
substs h₁ h₂
simp
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.congr AlgebraicGeometry.PresheafedSpace.stalkMap.congr
| Mathlib/Geometry/RingedSpace/Stalks.lean | 181 | 184 | theorem congr_hom {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y) (h : α = β) (x : X) :
stalkMap α x =
eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x) by rw [h]) ≫ stalkMap β x := by |
rw [← stalkMap.congr α β h x x rfl, eqToHom_refl, Category.comp_id]
|
import Mathlib.Algebra.Order.Monoid.Unbundled.Pow
import Mathlib.Data.Finset.Fold
import Mathlib.Data.Finset.Option
import Mathlib.Data.Finset.Pi
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Multiset.Lattice
import Mathlib.Data.Set.Lattice
import Mathlib.Order.Hom.Lattice
import Mathlib.Order.Nat
#align_import data.finset.lattice from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
-- TODO:
-- assert_not_exists OrderedCommMonoid
assert_not_exists MonoidWithZero
open Function Multiset OrderDual
variable {F α β γ ι κ : Type*}
namespace Finset
section Sup
-- TODO: define with just `[Bot α]` where some lemmas hold without requiring `[OrderBot α]`
variable [SemilatticeSup α] [OrderBot α]
def sup (s : Finset β) (f : β → α) : α :=
s.fold (· ⊔ ·) ⊥ f
#align finset.sup Finset.sup
variable {s s₁ s₂ : Finset β} {f g : β → α} {a : α}
theorem sup_def : s.sup f = (s.1.map f).sup :=
rfl
#align finset.sup_def Finset.sup_def
@[simp]
theorem sup_empty : (∅ : Finset β).sup f = ⊥ :=
fold_empty
#align finset.sup_empty Finset.sup_empty
@[simp]
theorem sup_cons {b : β} (h : b ∉ s) : (cons b s h).sup f = f b ⊔ s.sup f :=
fold_cons h
#align finset.sup_cons Finset.sup_cons
@[simp]
theorem sup_insert [DecidableEq β] {b : β} : (insert b s : Finset β).sup f = f b ⊔ s.sup f :=
fold_insert_idem
#align finset.sup_insert Finset.sup_insert
@[simp]
theorem sup_image [DecidableEq β] (s : Finset γ) (f : γ → β) (g : β → α) :
(s.image f).sup g = s.sup (g ∘ f) :=
fold_image_idem
#align finset.sup_image Finset.sup_image
@[simp]
theorem sup_map (s : Finset γ) (f : γ ↪ β) (g : β → α) : (s.map f).sup g = s.sup (g ∘ f) :=
fold_map
#align finset.sup_map Finset.sup_map
@[simp]
theorem sup_singleton {b : β} : ({b} : Finset β).sup f = f b :=
Multiset.sup_singleton
#align finset.sup_singleton Finset.sup_singleton
theorem sup_sup : s.sup (f ⊔ g) = s.sup f ⊔ s.sup g := by
induction s using Finset.cons_induction with
| empty => rw [sup_empty, sup_empty, sup_empty, bot_sup_eq]
| cons _ _ _ ih =>
rw [sup_cons, sup_cons, sup_cons, ih]
exact sup_sup_sup_comm _ _ _ _
#align finset.sup_sup Finset.sup_sup
theorem sup_congr {f g : β → α} (hs : s₁ = s₂) (hfg : ∀ a ∈ s₂, f a = g a) :
s₁.sup f = s₂.sup g := by
subst hs
exact Finset.fold_congr hfg
#align finset.sup_congr Finset.sup_congr
@[simp]
theorem _root_.map_finset_sup [SemilatticeSup β] [OrderBot β]
[FunLike F α β] [SupBotHomClass F α β]
(f : F) (s : Finset ι) (g : ι → α) : f (s.sup g) = s.sup (f ∘ g) :=
Finset.cons_induction_on s (map_bot f) fun i s _ h => by
rw [sup_cons, sup_cons, map_sup, h, Function.comp_apply]
#align map_finset_sup map_finset_sup
@[simp]
protected theorem sup_le_iff {a : α} : s.sup f ≤ a ↔ ∀ b ∈ s, f b ≤ a := by
apply Iff.trans Multiset.sup_le
simp only [Multiset.mem_map, and_imp, exists_imp]
exact ⟨fun k b hb => k _ _ hb rfl, fun k a' b hb h => h ▸ k _ hb⟩
#align finset.sup_le_iff Finset.sup_le_iff
protected alias ⟨_, sup_le⟩ := Finset.sup_le_iff
#align finset.sup_le Finset.sup_le
theorem sup_const_le : (s.sup fun _ => a) ≤ a :=
Finset.sup_le fun _ _ => le_rfl
#align finset.sup_const_le Finset.sup_const_le
theorem le_sup {b : β} (hb : b ∈ s) : f b ≤ s.sup f :=
Finset.sup_le_iff.1 le_rfl _ hb
#align finset.le_sup Finset.le_sup
theorem le_sup_of_le {b : β} (hb : b ∈ s) (h : a ≤ f b) : a ≤ s.sup f := h.trans <| le_sup hb
#align finset.le_sup_of_le Finset.le_sup_of_le
theorem sup_union [DecidableEq β] : (s₁ ∪ s₂).sup f = s₁.sup f ⊔ s₂.sup f :=
eq_of_forall_ge_iff fun c => by simp [or_imp, forall_and]
#align finset.sup_union Finset.sup_union
@[simp]
theorem sup_biUnion [DecidableEq β] (s : Finset γ) (t : γ → Finset β) :
(s.biUnion t).sup f = s.sup fun x => (t x).sup f :=
eq_of_forall_ge_iff fun c => by simp [@forall_swap _ β]
#align finset.sup_bUnion Finset.sup_biUnion
theorem sup_const {s : Finset β} (h : s.Nonempty) (c : α) : (s.sup fun _ => c) = c :=
eq_of_forall_ge_iff (fun _ => Finset.sup_le_iff.trans h.forall_const)
#align finset.sup_const Finset.sup_const
@[simp]
theorem sup_bot (s : Finset β) : (s.sup fun _ => ⊥) = (⊥ : α) := by
obtain rfl | hs := s.eq_empty_or_nonempty
· exact sup_empty
· exact sup_const hs _
#align finset.sup_bot Finset.sup_bot
theorem sup_ite (p : β → Prop) [DecidablePred p] :
(s.sup fun i => ite (p i) (f i) (g i)) = (s.filter p).sup f ⊔ (s.filter fun i => ¬p i).sup g :=
fold_ite _
#align finset.sup_ite Finset.sup_ite
theorem sup_mono_fun {g : β → α} (h : ∀ b ∈ s, f b ≤ g b) : s.sup f ≤ s.sup g :=
Finset.sup_le fun b hb => le_trans (h b hb) (le_sup hb)
#align finset.sup_mono_fun Finset.sup_mono_fun
@[gcongr]
theorem sup_mono (h : s₁ ⊆ s₂) : s₁.sup f ≤ s₂.sup f :=
Finset.sup_le (fun _ hb => le_sup (h hb))
#align finset.sup_mono Finset.sup_mono
protected theorem sup_comm (s : Finset β) (t : Finset γ) (f : β → γ → α) :
(s.sup fun b => t.sup (f b)) = t.sup fun c => s.sup fun b => f b c :=
eq_of_forall_ge_iff fun a => by simpa using forall₂_swap
#align finset.sup_comm Finset.sup_comm
@[simp, nolint simpNF] -- Porting note: linter claims that LHS does not simplify
theorem sup_attach (s : Finset β) (f : β → α) : (s.attach.sup fun x => f x) = s.sup f :=
(s.attach.sup_map (Function.Embedding.subtype _) f).symm.trans <| congr_arg _ attach_map_val
#align finset.sup_attach Finset.sup_attach
theorem sup_product_left (s : Finset β) (t : Finset γ) (f : β × γ → α) :
(s ×ˢ t).sup f = s.sup fun i => t.sup fun i' => f ⟨i, i'⟩ :=
eq_of_forall_ge_iff fun a => by simp [@forall_swap _ γ]
#align finset.sup_product_left Finset.sup_product_left
theorem sup_product_right (s : Finset β) (t : Finset γ) (f : β × γ → α) :
(s ×ˢ t).sup f = t.sup fun i' => s.sup fun i => f ⟨i, i'⟩ := by
rw [sup_product_left, Finset.sup_comm]
#align finset.sup_product_right Finset.sup_product_right
theorem sup_eq_iSup [CompleteLattice β] (s : Finset α) (f : α → β) : s.sup f = ⨆ a ∈ s, f a :=
le_antisymm
(Finset.sup_le (fun a ha => le_iSup_of_le a <| le_iSup (fun _ => f a) ha))
(iSup_le fun _ => iSup_le fun ha => le_sup ha)
#align finset.sup_eq_supr Finset.sup_eq_iSup
| Mathlib/Data/Finset/Lattice.lean | 298 | 299 | theorem sup_id_eq_sSup [CompleteLattice α] (s : Finset α) : s.sup id = sSup s := by |
simp [sSup_eq_iSup, sup_eq_iSup]
|
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.LinearAlgebra.Matrix.ZPow
#align_import linear_algebra.matrix.hermitian from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c"
namespace Matrix
variable {α β : Type*} {m n : Type*} {A : Matrix n n α}
open scoped Matrix
local notation "⟪" x ", " y "⟫" => @inner α _ _ x y
section RCLike
open RCLike
variable [RCLike α] [RCLike β]
| Mathlib/LinearAlgebra/Matrix/Hermitian.lean | 281 | 282 | theorem IsHermitian.coe_re_apply_self {A : Matrix n n α} (h : A.IsHermitian) (i : n) :
(re (A i i) : α) = A i i := by | rw [← conj_eq_iff_re, ← star_def, ← conjTranspose_apply, h.eq]
|
import Mathlib.Algebra.Group.Subgroup.ZPowers
import Mathlib.Algebra.Ring.Action.Basic
import Mathlib.GroupTheory.GroupAction.Basic
#align_import group_theory.group_action.conj_act from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef"
variable (α M G G₀ R K : Type*)
def ConjAct : Type _ :=
G
#align conj_act ConjAct
namespace ConjAct
open MulAction Subgroup
variable {M G G₀ R K}
instance [Group G] : Group (ConjAct G) := ‹Group G›
instance [DivInvMonoid G] : DivInvMonoid (ConjAct G) := ‹DivInvMonoid G›
instance [GroupWithZero G] : GroupWithZero (ConjAct G) := ‹GroupWithZero G›
instance [Fintype G] : Fintype (ConjAct G) := ‹Fintype G›
@[simp]
theorem card [Fintype G] : Fintype.card (ConjAct G) = Fintype.card G :=
rfl
#align conj_act.card ConjAct.card
section Units
variable [Group G]
-- todo: this file is not in good order; I will refactor this after the PR
-- porting note (#11083): very slow without `simp only` and need to separate `smul_def`
-- so that things trigger appropriately
instance : MulDistribMulAction (ConjAct G) G where
smul_mul := by
simp only [smul_def]
simp only [mul_assoc, inv_mul_cancel_left, forall_const, «forall»]
smul_one := by simp only [smul_def, mul_one, mul_right_inv, «forall», forall_const]
one_smul := by simp only [smul_def, ofConjAct_one, one_mul, inv_one, mul_one, forall_const]
mul_smul := by
simp only [smul_def]
simp only [map_mul, mul_assoc, mul_inv_rev, forall_const, «forall»]
instance smulCommClass [SMul α G] [SMulCommClass α G G] [IsScalarTower α G G] :
SMulCommClass α (ConjAct G) G where
smul_comm a ug g := by rw [smul_def, smul_def, mul_smul_comm, smul_mul_assoc]
#align conj_act.smul_comm_class ConjAct.smulCommClass
instance smulCommClass' [SMul α G] [SMulCommClass G α G] [IsScalarTower α G G] :
SMulCommClass (ConjAct G) α G :=
haveI := SMulCommClass.symm G α G
SMulCommClass.symm _ _ _
#align conj_act.smul_comm_class' ConjAct.smulCommClass'
theorem smul_eq_mulAut_conj (g : ConjAct G) (h : G) : g • h = MulAut.conj (ofConjAct g) h :=
rfl
#align conj_act.smul_eq_mul_aut_conj ConjAct.smul_eq_mulAut_conj
theorem fixedPoints_eq_center : fixedPoints (ConjAct G) G = center G := by
ext x
simp [mem_center_iff, smul_def, mul_inv_eq_iff_eq_mul]
#align conj_act.fixed_points_eq_center ConjAct.fixedPoints_eq_center
@[simp]
| Mathlib/GroupTheory/GroupAction/ConjAct.lean | 306 | 307 | theorem mem_orbit_conjAct {g h : G} : g ∈ orbit (ConjAct G) h ↔ IsConj g h := by |
rw [isConj_comm, isConj_iff, mem_orbit_iff]; rfl
|
import Mathlib.Probability.Kernel.Composition
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import probability.kernel.integral_comp_prod from "leanprover-community/mathlib"@"c0d694db494dd4f9aa57f2714b6e4c82b4ebc113"
noncomputable section
open scoped Topology ENNReal MeasureTheory ProbabilityTheory
open Set Function Real ENNReal MeasureTheory Filter ProbabilityTheory ProbabilityTheory.kernel
variable {α β γ E : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
{mγ : MeasurableSpace γ} [NormedAddCommGroup E] {κ : kernel α β} [IsSFiniteKernel κ]
{η : kernel (α × β) γ} [IsSFiniteKernel η] {a : α}
namespace ProbabilityTheory
theorem hasFiniteIntegral_prod_mk_left (a : α) {s : Set (β × γ)} (h2s : (κ ⊗ₖ η) a s ≠ ∞) :
HasFiniteIntegral (fun b => (η (a, b) (Prod.mk b ⁻¹' s)).toReal) (κ a) := by
let t := toMeasurable ((κ ⊗ₖ η) a) s
simp_rw [HasFiniteIntegral, ennnorm_eq_ofReal toReal_nonneg]
calc
∫⁻ b, ENNReal.ofReal (η (a, b) (Prod.mk b ⁻¹' s)).toReal ∂κ a
_ ≤ ∫⁻ b, η (a, b) (Prod.mk b ⁻¹' t) ∂κ a := by
refine lintegral_mono_ae ?_
filter_upwards [ae_kernel_lt_top a h2s] with b hb
rw [ofReal_toReal hb.ne]
exact measure_mono (preimage_mono (subset_toMeasurable _ _))
_ ≤ (κ ⊗ₖ η) a t := le_compProd_apply _ _ _ _
_ = (κ ⊗ₖ η) a s := measure_toMeasurable s
_ < ⊤ := h2s.lt_top
#align probability_theory.has_finite_integral_prod_mk_left ProbabilityTheory.hasFiniteIntegral_prod_mk_left
theorem integrable_kernel_prod_mk_left (a : α) {s : Set (β × γ)} (hs : MeasurableSet s)
(h2s : (κ ⊗ₖ η) a s ≠ ∞) : Integrable (fun b => (η (a, b) (Prod.mk b ⁻¹' s)).toReal) (κ a) := by
constructor
· exact (measurable_kernel_prod_mk_left' hs a).ennreal_toReal.aestronglyMeasurable
· exact hasFiniteIntegral_prod_mk_left a h2s
#align probability_theory.integrable_kernel_prod_mk_left ProbabilityTheory.integrable_kernel_prod_mk_left
theorem _root_.MeasureTheory.AEStronglyMeasurable.integral_kernel_compProd [NormedSpace ℝ E]
⦃f : β × γ → E⦄ (hf : AEStronglyMeasurable f ((κ ⊗ₖ η) a)) :
AEStronglyMeasurable (fun x => ∫ y, f (x, y) ∂η (a, x)) (κ a) :=
⟨fun x => ∫ y, hf.mk f (x, y) ∂η (a, x), hf.stronglyMeasurable_mk.integral_kernel_prod_right'', by
filter_upwards [ae_ae_of_ae_compProd hf.ae_eq_mk] with _ hx using integral_congr_ae hx⟩
#align measure_theory.ae_strongly_measurable.integral_kernel_comp_prod MeasureTheory.AEStronglyMeasurable.integral_kernel_compProd
theorem _root_.MeasureTheory.AEStronglyMeasurable.compProd_mk_left {δ : Type*} [TopologicalSpace δ]
{f : β × γ → δ} (hf : AEStronglyMeasurable f ((κ ⊗ₖ η) a)) :
∀ᵐ x ∂κ a, AEStronglyMeasurable (fun y => f (x, y)) (η (a, x)) := by
filter_upwards [ae_ae_of_ae_compProd hf.ae_eq_mk] with x hx using
⟨fun y => hf.mk f (x, y), hf.stronglyMeasurable_mk.comp_measurable measurable_prod_mk_left, hx⟩
#align measure_theory.ae_strongly_measurable.comp_prod_mk_left MeasureTheory.AEStronglyMeasurable.compProd_mk_left
theorem hasFiniteIntegral_compProd_iff ⦃f : β × γ → E⦄ (h1f : StronglyMeasurable f) :
HasFiniteIntegral f ((κ ⊗ₖ η) a) ↔
(∀ᵐ x ∂κ a, HasFiniteIntegral (fun y => f (x, y)) (η (a, x))) ∧
HasFiniteIntegral (fun x => ∫ y, ‖f (x, y)‖ ∂η (a, x)) (κ a) := by
simp only [HasFiniteIntegral]
rw [kernel.lintegral_compProd _ _ _ h1f.ennnorm]
have : ∀ x, ∀ᵐ y ∂η (a, x), 0 ≤ ‖f (x, y)‖ := fun x => eventually_of_forall fun y => norm_nonneg _
simp_rw [integral_eq_lintegral_of_nonneg_ae (this _)
(h1f.norm.comp_measurable measurable_prod_mk_left).aestronglyMeasurable,
ennnorm_eq_ofReal toReal_nonneg, ofReal_norm_eq_coe_nnnorm]
have : ∀ {p q r : Prop} (_ : r → p), (r ↔ p ∧ q) ↔ p → (r ↔ q) := fun {p q r} h1 => by
rw [← and_congr_right_iff, and_iff_right_of_imp h1]
rw [this]
· intro h2f; rw [lintegral_congr_ae]
filter_upwards [h2f] with x hx
rw [ofReal_toReal]; rw [← lt_top_iff_ne_top]; exact hx
· intro h2f; refine ae_lt_top ?_ h2f.ne; exact h1f.ennnorm.lintegral_kernel_prod_right''
#align probability_theory.has_finite_integral_comp_prod_iff ProbabilityTheory.hasFiniteIntegral_compProd_iff
theorem hasFiniteIntegral_compProd_iff' ⦃f : β × γ → E⦄
(h1f : AEStronglyMeasurable f ((κ ⊗ₖ η) a)) :
HasFiniteIntegral f ((κ ⊗ₖ η) a) ↔
(∀ᵐ x ∂κ a, HasFiniteIntegral (fun y => f (x, y)) (η (a, x))) ∧
HasFiniteIntegral (fun x => ∫ y, ‖f (x, y)‖ ∂η (a, x)) (κ a) := by
rw [hasFiniteIntegral_congr h1f.ae_eq_mk,
hasFiniteIntegral_compProd_iff h1f.stronglyMeasurable_mk]
apply and_congr
· apply eventually_congr
filter_upwards [ae_ae_of_ae_compProd h1f.ae_eq_mk.symm] with x hx using
hasFiniteIntegral_congr hx
· apply hasFiniteIntegral_congr
filter_upwards [ae_ae_of_ae_compProd h1f.ae_eq_mk.symm] with _ hx using
integral_congr_ae (EventuallyEq.fun_comp hx _)
#align probability_theory.has_finite_integral_comp_prod_iff' ProbabilityTheory.hasFiniteIntegral_compProd_iff'
| Mathlib/Probability/Kernel/IntegralCompProd.lean | 123 | 128 | theorem integrable_compProd_iff ⦃f : β × γ → E⦄ (hf : AEStronglyMeasurable f ((κ ⊗ₖ η) a)) :
Integrable f ((κ ⊗ₖ η) a) ↔
(∀ᵐ x ∂κ a, Integrable (fun y => f (x, y)) (η (a, x))) ∧
Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂η (a, x)) (κ a) := by |
simp only [Integrable, hasFiniteIntegral_compProd_iff' hf, hf.norm.integral_kernel_compProd,
hf, hf.compProd_mk_left, eventually_and, true_and_iff]
|
import Mathlib.Algebra.Polynomial.GroupRingAction
import Mathlib.Algebra.Ring.Action.Invariant
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Separable
import Mathlib.FieldTheory.Tower
#align_import field_theory.fixed from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f"
noncomputable section
open scoped Classical
open MulAction Finset FiniteDimensional
universe u v w
variable {M : Type u} [Monoid M]
variable (G : Type u) [Group G]
variable (F : Type v) [Field F] [MulSemiringAction M F] [MulSemiringAction G F] (m : M)
def FixedBy.subfield : Subfield F where
carrier := fixedBy F m
zero_mem' := smul_zero m
add_mem' hx hy := (smul_add m _ _).trans <| congr_arg₂ _ hx hy
neg_mem' hx := (smul_neg m _).trans <| congr_arg _ hx
one_mem' := smul_one m
mul_mem' hx hy := (smul_mul' m _ _).trans <| congr_arg₂ _ hx hy
inv_mem' x hx := (smul_inv'' m x).trans <| congr_arg _ hx
#align fixed_by.subfield FixedBy.subfield
namespace FixedPoints
variable (M)
-- we use `Subfield.copy` so that the underlying set is `fixedPoints M F`
def subfield : Subfield F :=
Subfield.copy (⨅ m : M, FixedBy.subfield F m) (fixedPoints M F)
(by ext z; simp [fixedPoints, FixedBy.subfield, iInf, Subfield.mem_sInf]; rfl)
#align fixed_points.subfield FixedPoints.subfield
instance : IsInvariantSubfield M (FixedPoints.subfield M F) where
smul_mem g x hx g' := by rw [hx, hx]
instance : SMulCommClass M (FixedPoints.subfield M F) F where
smul_comm m f f' := show m • (↑f * f') = f * m • f' by rw [smul_mul', f.prop m]
instance smulCommClass' : SMulCommClass (FixedPoints.subfield M F) M F :=
SMulCommClass.symm _ _ _
#align fixed_points.smul_comm_class' FixedPoints.smulCommClass'
@[simp]
theorem smul (m : M) (x : FixedPoints.subfield M F) : m • x = x :=
Subtype.eq <| x.2 m
#align fixed_points.smul FixedPoints.smul
-- Why is this so slow?
@[simp]
theorem smul_polynomial (m : M) (p : Polynomial (FixedPoints.subfield M F)) : m • p = p :=
Polynomial.induction_on p (fun x => by rw [Polynomial.smul_C, smul])
(fun p q ihp ihq => by rw [smul_add, ihp, ihq]) fun n x _ => by
rw [smul_mul', Polynomial.smul_C, smul, smul_pow', Polynomial.smul_X]
#align fixed_points.smul_polynomial FixedPoints.smul_polynomial
instance : Algebra (FixedPoints.subfield M F) F := by infer_instance
theorem coe_algebraMap :
algebraMap (FixedPoints.subfield M F) F = Subfield.subtype (FixedPoints.subfield M F) :=
rfl
#align fixed_points.coe_algebra_map FixedPoints.coe_algebraMap
theorem linearIndependent_smul_of_linearIndependent {s : Finset F} :
(LinearIndependent (FixedPoints.subfield G F) fun i : (s : Set F) => (i : F)) →
LinearIndependent F fun i : (s : Set F) => MulAction.toFun G F i := by
haveI : IsEmpty ((∅ : Finset F) : Set F) := by simp
refine Finset.induction_on s (fun _ => linearIndependent_empty_type) fun a s has ih hs => ?_
rw [coe_insert] at hs ⊢
rw [linearIndependent_insert (mt mem_coe.1 has)] at hs
rw [linearIndependent_insert' (mt mem_coe.1 has)]; refine ⟨ih hs.1, fun ha => ?_⟩
rw [Finsupp.mem_span_image_iff_total] at ha; rcases ha with ⟨l, hl, hla⟩
rw [Finsupp.total_apply_of_mem_supported F hl] at hla
suffices ∀ i ∈ s, l i ∈ FixedPoints.subfield G F by
replace hla := (sum_apply _ _ fun i => l i • toFun G F i).symm.trans (congr_fun hla 1)
simp_rw [Pi.smul_apply, toFun_apply, one_smul] at hla
refine hs.2 (hla ▸ Submodule.sum_mem _ fun c hcs => ?_)
change (⟨l c, this c hcs⟩ : FixedPoints.subfield G F) • c ∈ _
exact Submodule.smul_mem _ _ (Submodule.subset_span <| mem_coe.2 hcs)
intro i his g
refine
eq_of_sub_eq_zero
(linearIndependent_iff'.1 (ih hs.1) s.attach (fun i => g • l i - l i) ?_ ⟨i, his⟩
(mem_attach _ _) :
_)
refine (sum_attach s fun i ↦ (g • l i - l i) • MulAction.toFun G F i).trans ?_
ext g'; dsimp only
conv_lhs =>
rw [sum_apply]
congr
· skip
· ext
rw [Pi.smul_apply, sub_smul, smul_eq_mul]
rw [sum_sub_distrib, Pi.zero_apply, sub_eq_zero]
conv_lhs =>
congr
· skip
· ext x
rw [toFun_apply, ← mul_inv_cancel_left g g', mul_smul, ← smul_mul', ← toFun_apply _ x]
show
(∑ x ∈ s, g • (fun y => l y • MulAction.toFun G F y) x (g⁻¹ * g')) =
∑ x ∈ s, (fun y => l y • MulAction.toFun G F y) x g'
rw [← smul_sum, ← sum_apply _ _ fun y => l y • toFun G F y, ←
sum_apply _ _ fun y => l y • toFun G F y]
rw [hla, toFun_apply, toFun_apply, smul_smul, mul_inv_cancel_left]
#align fixed_points.linear_independent_smul_of_linear_independent FixedPoints.linearIndependent_smul_of_linearIndependent
section Fintype
variable [Fintype G] (x : F)
def minpoly : Polynomial (FixedPoints.subfield G F) :=
(prodXSubSMul G F x).toSubring (FixedPoints.subfield G F).toSubring fun _ hc g =>
let ⟨n, _, hn⟩ := Polynomial.mem_coeffs_iff.1 hc
hn.symm ▸ prodXSubSMul.coeff G F x g n
#align fixed_points.minpoly FixedPoints.minpoly
namespace minpoly
theorem monic : (minpoly G F x).Monic := by
simp only [minpoly, Polynomial.monic_toSubring];
exact prodXSubSMul.monic G F x
#align fixed_points.minpoly.monic FixedPoints.minpoly.monic
theorem eval₂ :
Polynomial.eval₂ (Subring.subtype <| (FixedPoints.subfield G F).toSubring) x (minpoly G F x) =
0 := by
rw [← prodXSubSMul.eval G F x, Polynomial.eval₂_eq_eval_map]
simp only [minpoly, Polynomial.map_toSubring]
#align fixed_points.minpoly.eval₂ FixedPoints.minpoly.eval₂
theorem eval₂' :
Polynomial.eval₂ (Subfield.subtype <| FixedPoints.subfield G F) x (minpoly G F x) = 0 :=
eval₂ G F x
#align fixed_points.minpoly.eval₂' FixedPoints.minpoly.eval₂'
theorem ne_one : minpoly G F x ≠ (1 : Polynomial (FixedPoints.subfield G F)) := fun H =>
have := eval₂ G F x
(one_ne_zero : (1 : F) ≠ 0) <| by rwa [H, Polynomial.eval₂_one] at this
#align fixed_points.minpoly.ne_one FixedPoints.minpoly.ne_one
theorem of_eval₂ (f : Polynomial (FixedPoints.subfield G F))
(hf : Polynomial.eval₂ (Subfield.subtype <| FixedPoints.subfield G F) x f = 0) :
minpoly G F x ∣ f := by
-- Porting note: the two `have` below were not needed.
have : (subfield G F).subtype = (subfield G F).toSubring.subtype := rfl
have h : Polynomial.map (MulSemiringActionHom.toRingHom (IsInvariantSubring.subtypeHom G
(subfield G F).toSubring)) f = Polynomial.map
((IsInvariantSubring.subtypeHom G (subfield G F).toSubring)) f := rfl
erw [← Polynomial.map_dvd_map' (Subfield.subtype <| FixedPoints.subfield G F), minpoly, this,
Polynomial.map_toSubring _ _, prodXSubSMul]
refine
Fintype.prod_dvd_of_coprime
(Polynomial.pairwise_coprime_X_sub_C <| MulAction.injective_ofQuotientStabilizer G x) fun y =>
QuotientGroup.induction_on y fun g => ?_
rw [Polynomial.dvd_iff_isRoot, Polynomial.IsRoot.def, MulAction.ofQuotientStabilizer_mk,
Polynomial.eval_smul', ← this, ← Subfield.toSubring_subtype_eq_subtype, ←
IsInvariantSubring.coe_subtypeHom' G (FixedPoints.subfield G F).toSubring, h,
← MulSemiringActionHom.coe_polynomial, ← MulSemiringActionHom.map_smul, smul_polynomial,
MulSemiringActionHom.coe_polynomial, ← h, IsInvariantSubring.coe_subtypeHom',
Polynomial.eval_map, Subfield.toSubring_subtype_eq_subtype, hf, smul_zero]
#align fixed_points.minpoly.of_eval₂ FixedPoints.minpoly.of_eval₂
-- Why is this so slow?
| Mathlib/FieldTheory/Fixed.lean | 225 | 241 | theorem irreducible_aux (f g : Polynomial (FixedPoints.subfield G F)) (hf : f.Monic) (hg : g.Monic)
(hfg : f * g = minpoly G F x) : f = 1 ∨ g = 1 := by |
have hf2 : f ∣ minpoly G F x := by rw [← hfg]; exact dvd_mul_right _ _
have hg2 : g ∣ minpoly G F x := by rw [← hfg]; exact dvd_mul_left _ _
have := eval₂ G F x
rw [← hfg, Polynomial.eval₂_mul, mul_eq_zero] at this
cases' this with this this
· right
have hf3 : f = minpoly G F x :=
Polynomial.eq_of_monic_of_associated hf (monic G F x)
(associated_of_dvd_dvd hf2 <| @of_eval₂ G _ F _ _ _ x f this)
rwa [← mul_one (minpoly G F x), hf3, mul_right_inj' (monic G F x).ne_zero] at hfg
· left
have hg3 : g = minpoly G F x :=
Polynomial.eq_of_monic_of_associated hg (monic G F x)
(associated_of_dvd_dvd hg2 <| @of_eval₂ G _ F _ _ _ x g this)
rwa [← one_mul (minpoly G F x), hg3, mul_left_inj' (monic G F x).ne_zero] at hfg
|
import Mathlib.Algebra.Order.Hom.Ring
import Mathlib.Algebra.Order.Pointwise
import Mathlib.Analysis.SpecialFunctions.Pow.Real
#align_import algebra.order.complete_field from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
variable {F α β γ : Type*}
noncomputable section
open Function Rat Real Set
open scoped Classical Pointwise
-- @[protect_proj] -- Porting note: does not exist anymore
class ConditionallyCompleteLinearOrderedField (α : Type*) extends
LinearOrderedField α, ConditionallyCompleteLinearOrder α
#align conditionally_complete_linear_ordered_field ConditionallyCompleteLinearOrderedField
-- see Note [lower instance priority]
instance (priority := 100) ConditionallyCompleteLinearOrderedField.to_archimedean
[ConditionallyCompleteLinearOrderedField α] : Archimedean α :=
archimedean_iff_nat_lt.2
(by
by_contra! h
obtain ⟨x, h⟩ := h
have := csSup_le _ _ (range_nonempty Nat.cast)
(forall_mem_range.2 fun m =>
le_sub_iff_add_le.2 <| le_csSup _ _ ⟨x, forall_mem_range.2 h⟩ ⟨m+1, Nat.cast_succ m⟩)
linarith)
#align conditionally_complete_linear_ordered_field.to_archimedean ConditionallyCompleteLinearOrderedField.to_archimedean
instance : ConditionallyCompleteLinearOrderedField ℝ :=
{ (inferInstance : LinearOrderedField ℝ),
(inferInstance : ConditionallyCompleteLinearOrder ℝ) with }
namespace LinearOrderedField
section CutMap
variable [LinearOrderedField α]
variable (β) [LinearOrderedField β] {a a₁ a₂ : α} {b : β} {q : ℚ}
| Mathlib/Algebra/Order/CompleteField.lean | 134 | 135 | theorem cutMap_coe (q : ℚ) : cutMap β (q : α) = Rat.cast '' {r : ℚ | (r : β) < q} := by |
simp_rw [cutMap, Rat.cast_lt]
|
import Mathlib.SetTheory.Ordinal.FixedPoint
#align_import set_theory.ordinal.principal from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
universe u v w
noncomputable section
open Order
namespace Ordinal
-- Porting note: commented out, doesn't seem necessary
--local infixr:0 "^" => @pow Ordinal Ordinal Ordinal.hasPow
def Principal (op : Ordinal → Ordinal → Ordinal) (o : Ordinal) : Prop :=
∀ ⦃a b⦄, a < o → b < o → op a b < o
#align ordinal.principal Ordinal.Principal
| Mathlib/SetTheory/Ordinal/Principal.lean | 52 | 54 | theorem principal_iff_principal_swap {op : Ordinal → Ordinal → Ordinal} {o : Ordinal} :
Principal op o ↔ Principal (Function.swap op) o := by |
constructor <;> exact fun h a b ha hb => h hb ha
|
import Mathlib.SetTheory.Game.Basic
import Mathlib.Tactic.NthRewrite
#align_import set_theory.game.impartial from "leanprover-community/mathlib"@"2e0975f6a25dd3fbfb9e41556a77f075f6269748"
universe u
namespace SetTheory
open scoped PGame
namespace PGame
def ImpartialAux : PGame → Prop
| G => (G ≈ -G) ∧ (∀ i, ImpartialAux (G.moveLeft i)) ∧ ∀ j, ImpartialAux (G.moveRight j)
termination_by G => G -- Porting note: Added `termination_by`
#align pgame.impartial_aux SetTheory.PGame.ImpartialAux
theorem impartialAux_def {G : PGame} :
G.ImpartialAux ↔
(G ≈ -G) ∧ (∀ i, ImpartialAux (G.moveLeft i)) ∧ ∀ j, ImpartialAux (G.moveRight j) := by
rw [ImpartialAux]
#align pgame.impartial_aux_def SetTheory.PGame.impartialAux_def
class Impartial (G : PGame) : Prop where
out : ImpartialAux G
#align pgame.impartial SetTheory.PGame.Impartial
theorem impartial_iff_aux {G : PGame} : G.Impartial ↔ G.ImpartialAux :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align pgame.impartial_iff_aux SetTheory.PGame.impartial_iff_aux
theorem impartial_def {G : PGame} :
G.Impartial ↔ (G ≈ -G) ∧ (∀ i, Impartial (G.moveLeft i)) ∧ ∀ j, Impartial (G.moveRight j) := by
simpa only [impartial_iff_aux] using impartialAux_def
#align pgame.impartial_def SetTheory.PGame.impartial_def
namespace Impartial
instance impartial_zero : Impartial 0 := by rw [impartial_def]; dsimp; simp
#align pgame.impartial.impartial_zero SetTheory.PGame.Impartial.impartial_zero
instance impartial_star : Impartial star := by
rw [impartial_def]; simpa using Impartial.impartial_zero
#align pgame.impartial.impartial_star SetTheory.PGame.Impartial.impartial_star
theorem neg_equiv_self (G : PGame) [h : G.Impartial] : G ≈ -G :=
(impartial_def.1 h).1
#align pgame.impartial.neg_equiv_self SetTheory.PGame.Impartial.neg_equiv_self
-- Porting note: Changed `-⟦G⟧` to `-(⟦G⟧ : Quotient setoid)`
@[simp]
theorem mk'_neg_equiv_self (G : PGame) [G.Impartial] : -(⟦G⟧ : Quotient setoid) = ⟦G⟧ :=
Quot.sound (Equiv.symm (neg_equiv_self G))
#align pgame.impartial.mk_neg_equiv_self SetTheory.PGame.Impartial.mk'_neg_equiv_self
instance moveLeft_impartial {G : PGame} [h : G.Impartial] (i : G.LeftMoves) :
(G.moveLeft i).Impartial :=
(impartial_def.1 h).2.1 i
#align pgame.impartial.move_left_impartial SetTheory.PGame.Impartial.moveLeft_impartial
instance moveRight_impartial {G : PGame} [h : G.Impartial] (j : G.RightMoves) :
(G.moveRight j).Impartial :=
(impartial_def.1 h).2.2 j
#align pgame.impartial.move_right_impartial SetTheory.PGame.Impartial.moveRight_impartial
theorem impartial_congr : ∀ {G H : PGame} (_ : G ≡r H) [G.Impartial], H.Impartial
| G, H => fun e => by
intro h
exact impartial_def.2
⟨Equiv.trans e.symm.equiv (Equiv.trans (neg_equiv_self G) (neg_equiv_neg_iff.2 e.equiv)),
fun i => impartial_congr (e.moveLeftSymm i), fun j => impartial_congr (e.moveRightSymm j)⟩
termination_by G H => (G, H)
#align pgame.impartial.impartial_congr SetTheory.PGame.Impartial.impartial_congr
instance impartial_add : ∀ (G H : PGame) [G.Impartial] [H.Impartial], (G + H).Impartial
| G, H, _, _ => by
rw [impartial_def]
refine ⟨Equiv.trans (add_congr (neg_equiv_self G) (neg_equiv_self _))
(Equiv.symm (negAddRelabelling _ _).equiv), fun k => ?_, fun k => ?_⟩
· apply leftMoves_add_cases k
all_goals
intro i; simp only [add_moveLeft_inl, add_moveLeft_inr]
apply impartial_add
· apply rightMoves_add_cases k
all_goals
intro i; simp only [add_moveRight_inl, add_moveRight_inr]
apply impartial_add
termination_by G H => (G, H)
#align pgame.impartial.impartial_add SetTheory.PGame.Impartial.impartial_add
instance impartial_neg : ∀ (G : PGame) [G.Impartial], (-G).Impartial
| G, _ => by
rw [impartial_def]
refine ⟨?_, fun i => ?_, fun i => ?_⟩
· rw [neg_neg]
exact Equiv.symm (neg_equiv_self G)
· rw [moveLeft_neg']
apply impartial_neg
· rw [moveRight_neg']
apply impartial_neg
termination_by G => G
#align pgame.impartial.impartial_neg SetTheory.PGame.Impartial.impartial_neg
variable (G : PGame) [Impartial G]
theorem nonpos : ¬0 < G := fun h => by
have h' := neg_lt_neg_iff.2 h
rw [neg_zero, lt_congr_left (Equiv.symm (neg_equiv_self G))] at h'
exact (h.trans h').false
#align pgame.impartial.nonpos SetTheory.PGame.Impartial.nonpos
theorem nonneg : ¬G < 0 := fun h => by
have h' := neg_lt_neg_iff.2 h
rw [neg_zero, lt_congr_right (Equiv.symm (neg_equiv_self G))] at h'
exact (h.trans h').false
#align pgame.impartial.nonneg SetTheory.PGame.Impartial.nonneg
theorem equiv_or_fuzzy_zero : (G ≈ 0) ∨ G ‖ 0 := by
rcases lt_or_equiv_or_gt_or_fuzzy G 0 with (h | h | h | h)
· exact ((nonneg G) h).elim
· exact Or.inl h
· exact ((nonpos G) h).elim
· exact Or.inr h
#align pgame.impartial.equiv_or_fuzzy_zero SetTheory.PGame.Impartial.equiv_or_fuzzy_zero
@[simp]
theorem not_equiv_zero_iff : ¬(G ≈ 0) ↔ G ‖ 0 :=
⟨(equiv_or_fuzzy_zero G).resolve_left, Fuzzy.not_equiv⟩
#align pgame.impartial.not_equiv_zero_iff SetTheory.PGame.Impartial.not_equiv_zero_iff
@[simp]
theorem not_fuzzy_zero_iff : ¬G ‖ 0 ↔ (G ≈ 0) :=
⟨(equiv_or_fuzzy_zero G).resolve_right, Equiv.not_fuzzy⟩
#align pgame.impartial.not_fuzzy_zero_iff SetTheory.PGame.Impartial.not_fuzzy_zero_iff
theorem add_self : G + G ≈ 0 :=
Equiv.trans (add_congr_left (neg_equiv_self G)) (add_left_neg_equiv G)
#align pgame.impartial.add_self SetTheory.PGame.Impartial.add_self
-- Porting note: Changed `⟦G⟧` to `(⟦G⟧ : Quotient setoid)`
@[simp]
theorem mk'_add_self : (⟦G⟧ : Quotient setoid) + ⟦G⟧ = 0 :=
Quot.sound (add_self G)
#align pgame.impartial.mk_add_self SetTheory.PGame.Impartial.mk'_add_self
theorem equiv_iff_add_equiv_zero (H : PGame) : (H ≈ G) ↔ (H + G ≈ 0) := by
rw [Game.PGame.equiv_iff_game_eq, ← @add_right_cancel_iff _ _ _ ⟦G⟧, mk'_add_self, ← quot_add,
Game.PGame.equiv_iff_game_eq]
rfl
#align pgame.impartial.equiv_iff_add_equiv_zero SetTheory.PGame.Impartial.equiv_iff_add_equiv_zero
theorem equiv_iff_add_equiv_zero' (H : PGame) : (G ≈ H) ↔ (G + H ≈ 0) := by
rw [Game.PGame.equiv_iff_game_eq, ← @add_left_cancel_iff _ _ _ ⟦G⟧, mk'_add_self, ← quot_add,
Game.PGame.equiv_iff_game_eq]
exact ⟨Eq.symm, Eq.symm⟩
#align pgame.impartial.equiv_iff_add_equiv_zero' SetTheory.PGame.Impartial.equiv_iff_add_equiv_zero'
theorem le_zero_iff {G : PGame} [G.Impartial] : G ≤ 0 ↔ 0 ≤ G := by
rw [← zero_le_neg_iff, le_congr_right (neg_equiv_self G)]
#align pgame.impartial.le_zero_iff SetTheory.PGame.Impartial.le_zero_iff
theorem lf_zero_iff {G : PGame} [G.Impartial] : G ⧏ 0 ↔ 0 ⧏ G := by
rw [← zero_lf_neg_iff, lf_congr_right (neg_equiv_self G)]
#align pgame.impartial.lf_zero_iff SetTheory.PGame.Impartial.lf_zero_iff
theorem equiv_zero_iff_le : (G ≈ 0) ↔ G ≤ 0 :=
⟨And.left, fun h => ⟨h, le_zero_iff.1 h⟩⟩
#align pgame.impartial.equiv_zero_iff_le SetTheory.PGame.Impartial.equiv_zero_iff_le
theorem fuzzy_zero_iff_lf : G ‖ 0 ↔ G ⧏ 0 :=
⟨And.left, fun h => ⟨h, lf_zero_iff.1 h⟩⟩
#align pgame.impartial.fuzzy_zero_iff_lf SetTheory.PGame.Impartial.fuzzy_zero_iff_lf
theorem equiv_zero_iff_ge : (G ≈ 0) ↔ 0 ≤ G :=
⟨And.right, fun h => ⟨le_zero_iff.2 h, h⟩⟩
#align pgame.impartial.equiv_zero_iff_ge SetTheory.PGame.Impartial.equiv_zero_iff_ge
theorem fuzzy_zero_iff_gf : G ‖ 0 ↔ 0 ⧏ G :=
⟨And.right, fun h => ⟨lf_zero_iff.2 h, h⟩⟩
#align pgame.impartial.fuzzy_zero_iff_gf SetTheory.PGame.Impartial.fuzzy_zero_iff_gf
theorem forall_leftMoves_fuzzy_iff_equiv_zero : (∀ i, G.moveLeft i ‖ 0) ↔ (G ≈ 0) := by
refine ⟨fun hb => ?_, fun hp i => ?_⟩
· rw [equiv_zero_iff_le G, le_zero_lf]
exact fun i => (hb i).1
· rw [fuzzy_zero_iff_lf]
exact hp.1.moveLeft_lf i
#align pgame.impartial.forall_left_moves_fuzzy_iff_equiv_zero SetTheory.PGame.Impartial.forall_leftMoves_fuzzy_iff_equiv_zero
theorem forall_rightMoves_fuzzy_iff_equiv_zero : (∀ j, G.moveRight j ‖ 0) ↔ (G ≈ 0) := by
refine ⟨fun hb => ?_, fun hp i => ?_⟩
· rw [equiv_zero_iff_ge G, zero_le_lf]
exact fun i => (hb i).2
· rw [fuzzy_zero_iff_gf]
exact hp.2.lf_moveRight i
#align pgame.impartial.forall_right_moves_fuzzy_iff_equiv_zero SetTheory.PGame.Impartial.forall_rightMoves_fuzzy_iff_equiv_zero
theorem exists_left_move_equiv_iff_fuzzy_zero : (∃ i, G.moveLeft i ≈ 0) ↔ G ‖ 0 := by
refine ⟨fun ⟨i, hi⟩ => (fuzzy_zero_iff_gf G).2 (lf_of_le_moveLeft hi.2), fun hn => ?_⟩
rw [fuzzy_zero_iff_gf G, zero_lf_le] at hn
cases' hn with i hi
exact ⟨i, (equiv_zero_iff_ge _).2 hi⟩
#align pgame.impartial.exists_left_move_equiv_iff_fuzzy_zero SetTheory.PGame.Impartial.exists_left_move_equiv_iff_fuzzy_zero
| Mathlib/SetTheory/Game/Impartial.lean | 226 | 230 | theorem exists_right_move_equiv_iff_fuzzy_zero : (∃ j, G.moveRight j ≈ 0) ↔ G ‖ 0 := by |
refine ⟨fun ⟨i, hi⟩ => (fuzzy_zero_iff_lf G).2 (lf_of_moveRight_le hi.1), fun hn => ?_⟩
rw [fuzzy_zero_iff_lf G, lf_zero_le] at hn
cases' hn with i hi
exact ⟨i, (equiv_zero_iff_le _).2 hi⟩
|
import Mathlib.Algebra.Algebra.Opposite
import Mathlib.Algebra.Algebra.Pi
import Mathlib.Algebra.BigOperators.Pi
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.BigOperators.RingEquiv
import Mathlib.Algebra.Module.LinearMap.Basic
import Mathlib.Algebra.Module.Pi
import Mathlib.Algebra.Star.BigOperators
import Mathlib.Algebra.Star.Module
import Mathlib.Algebra.Star.Pi
import Mathlib.Data.Fintype.BigOperators
import Mathlib.GroupTheory.GroupAction.BigOperators
#align_import data.matrix.basic from "leanprover-community/mathlib"@"eba5bb3155cab51d80af00e8d7d69fa271b1302b"
universe u u' v w
def Matrix (m : Type u) (n : Type u') (α : Type v) : Type max u u' v :=
m → n → α
#align matrix Matrix
variable {l m n o : Type*} {m' : o → Type*} {n' : o → Type*}
variable {R : Type*} {S : Type*} {α : Type v} {β : Type w} {γ : Type*}
namespace Matrix
open Matrix
namespace Matrix
section Diagonal
variable [DecidableEq n]
def diagonal [Zero α] (d : n → α) : Matrix n n α :=
of fun i j => if i = j then d i else 0
#align matrix.diagonal Matrix.diagonal
-- TODO: set as an equation lemma for `diagonal`, see mathlib4#3024
theorem diagonal_apply [Zero α] (d : n → α) (i j) : diagonal d i j = if i = j then d i else 0 :=
rfl
#align matrix.diagonal_apply Matrix.diagonal_apply
@[simp]
theorem diagonal_apply_eq [Zero α] (d : n → α) (i : n) : (diagonal d) i i = d i := by
simp [diagonal]
#align matrix.diagonal_apply_eq Matrix.diagonal_apply_eq
@[simp]
theorem diagonal_apply_ne [Zero α] (d : n → α) {i j : n} (h : i ≠ j) : (diagonal d) i j = 0 := by
simp [diagonal, h]
#align matrix.diagonal_apply_ne Matrix.diagonal_apply_ne
theorem diagonal_apply_ne' [Zero α] (d : n → α) {i j : n} (h : j ≠ i) : (diagonal d) i j = 0 :=
diagonal_apply_ne d h.symm
#align matrix.diagonal_apply_ne' Matrix.diagonal_apply_ne'
@[simp]
theorem diagonal_eq_diagonal_iff [Zero α] {d₁ d₂ : n → α} :
diagonal d₁ = diagonal d₂ ↔ ∀ i, d₁ i = d₂ i :=
⟨fun h i => by simpa using congr_arg (fun m : Matrix n n α => m i i) h, fun h => by
rw [show d₁ = d₂ from funext h]⟩
#align matrix.diagonal_eq_diagonal_iff Matrix.diagonal_eq_diagonal_iff
theorem diagonal_injective [Zero α] : Function.Injective (diagonal : (n → α) → Matrix n n α) :=
fun d₁ d₂ h => funext fun i => by simpa using Matrix.ext_iff.mpr h i i
#align matrix.diagonal_injective Matrix.diagonal_injective
@[simp]
theorem diagonal_zero [Zero α] : (diagonal fun _ => 0 : Matrix n n α) = 0 := by
ext
simp [diagonal]
#align matrix.diagonal_zero Matrix.diagonal_zero
@[simp]
theorem diagonal_transpose [Zero α] (v : n → α) : (diagonal v)ᵀ = diagonal v := by
ext i j
by_cases h : i = j
· simp [h, transpose]
· simp [h, transpose, diagonal_apply_ne' _ h]
#align matrix.diagonal_transpose Matrix.diagonal_transpose
@[simp]
theorem diagonal_add [AddZeroClass α] (d₁ d₂ : n → α) :
diagonal d₁ + diagonal d₂ = diagonal fun i => d₁ i + d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_add Matrix.diagonal_add
@[simp]
theorem diagonal_smul [Zero α] [SMulZeroClass R α] (r : R) (d : n → α) :
diagonal (r • d) = r • diagonal d := by
ext i j
by_cases h : i = j <;> simp [h]
#align matrix.diagonal_smul Matrix.diagonal_smul
@[simp]
theorem diagonal_neg [NegZeroClass α] (d : n → α) :
-diagonal d = diagonal fun i => -d i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_neg Matrix.diagonal_neg
@[simp]
theorem diagonal_sub [SubNegZeroMonoid α] (d₁ d₂ : n → α) :
diagonal d₁ - diagonal d₂ = diagonal fun i => d₁ i - d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
instance [Zero α] [NatCast α] : NatCast (Matrix n n α) where
natCast m := diagonal fun _ => m
@[norm_cast]
theorem diagonal_natCast [Zero α] [NatCast α] (m : ℕ) : diagonal (fun _ : n => (m : α)) = m := rfl
@[norm_cast]
theorem diagonal_natCast' [Zero α] [NatCast α] (m : ℕ) : diagonal ((m : n → α)) = m := rfl
-- See note [no_index around OfNat.ofNat]
theorem diagonal_ofNat [Zero α] [NatCast α] (m : ℕ) [m.AtLeastTwo] :
diagonal (fun _ : n => no_index (OfNat.ofNat m : α)) = OfNat.ofNat m := rfl
-- See note [no_index around OfNat.ofNat]
theorem diagonal_ofNat' [Zero α] [NatCast α] (m : ℕ) [m.AtLeastTwo] :
diagonal (no_index (OfNat.ofNat m : n → α)) = OfNat.ofNat m := rfl
instance [Zero α] [IntCast α] : IntCast (Matrix n n α) where
intCast m := diagonal fun _ => m
@[norm_cast]
theorem diagonal_intCast [Zero α] [IntCast α] (m : ℤ) : diagonal (fun _ : n => (m : α)) = m := rfl
@[norm_cast]
theorem diagonal_intCast' [Zero α] [IntCast α] (m : ℤ) : diagonal ((m : n → α)) = m := rfl
variable (n α)
@[simps]
def diagonalAddMonoidHom [AddZeroClass α] : (n → α) →+ Matrix n n α where
toFun := diagonal
map_zero' := diagonal_zero
map_add' x y := (diagonal_add x y).symm
#align matrix.diagonal_add_monoid_hom Matrix.diagonalAddMonoidHom
variable (R)
@[simps]
def diagonalLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : (n → α) →ₗ[R] Matrix n n α :=
{ diagonalAddMonoidHom n α with map_smul' := diagonal_smul }
#align matrix.diagonal_linear_map Matrix.diagonalLinearMap
variable {n α R}
@[simp]
theorem diagonal_map [Zero α] [Zero β] {f : α → β} (h : f 0 = 0) {d : n → α} :
(diagonal d).map f = diagonal fun m => f (d m) := by
ext
simp only [diagonal_apply, map_apply]
split_ifs <;> simp [h]
#align matrix.diagonal_map Matrix.diagonal_map
@[simp]
theorem diagonal_conjTranspose [AddMonoid α] [StarAddMonoid α] (v : n → α) :
(diagonal v)ᴴ = diagonal (star v) := by
rw [conjTranspose, diagonal_transpose, diagonal_map (star_zero _)]
rfl
#align matrix.diagonal_conj_transpose Matrix.diagonal_conjTranspose
instance instAddMonoidWithOne [AddMonoidWithOne α] : AddMonoidWithOne (Matrix n n α) where
natCast_zero := show diagonal _ = _ by
rw [Nat.cast_zero, diagonal_zero]
natCast_succ n := show diagonal _ = diagonal _ + _ by
rw [Nat.cast_succ, ← diagonal_add, diagonal_one]
instance instAddGroupWithOne [AddGroupWithOne α] : AddGroupWithOne (Matrix n n α) where
intCast_ofNat n := show diagonal _ = diagonal _ by
rw [Int.cast_natCast]
intCast_negSucc n := show diagonal _ = -(diagonal _) by
rw [Int.cast_negSucc, diagonal_neg]
__ := addGroup
__ := instAddMonoidWithOne
instance instAddCommMonoidWithOne [AddCommMonoidWithOne α] :
AddCommMonoidWithOne (Matrix n n α) where
__ := addCommMonoid
__ := instAddMonoidWithOne
instance instAddCommGroupWithOne [AddCommGroupWithOne α] :
AddCommGroupWithOne (Matrix n n α) where
__ := addCommGroup
__ := instAddGroupWithOne
section DotProduct
variable [Fintype m] [Fintype n]
def dotProduct [Mul α] [AddCommMonoid α] (v w : m → α) : α :=
∑ i, v i * w i
#align matrix.dot_product Matrix.dotProduct
@[inherit_doc]
scoped infixl:72 " ⬝ᵥ " => Matrix.dotProduct
theorem dotProduct_assoc [NonUnitalSemiring α] (u : m → α) (w : n → α) (v : Matrix m n α) :
(fun j => u ⬝ᵥ fun i => v i j) ⬝ᵥ w = u ⬝ᵥ fun i => v i ⬝ᵥ w := by
simpa [dotProduct, Finset.mul_sum, Finset.sum_mul, mul_assoc] using Finset.sum_comm
#align matrix.dot_product_assoc Matrix.dotProduct_assoc
theorem dotProduct_comm [AddCommMonoid α] [CommSemigroup α] (v w : m → α) : v ⬝ᵥ w = w ⬝ᵥ v := by
simp_rw [dotProduct, mul_comm]
#align matrix.dot_product_comm Matrix.dotProduct_comm
@[simp]
theorem dotProduct_pUnit [AddCommMonoid α] [Mul α] (v w : PUnit → α) : v ⬝ᵥ w = v ⟨⟩ * w ⟨⟩ := by
simp [dotProduct]
#align matrix.dot_product_punit Matrix.dotProduct_pUnit
open Matrix
-- We want to be lower priority than `instHMul`, but without this we can't have operands with
-- implicit dimensions.
@[default_instance 100]
instance [Fintype m] [Mul α] [AddCommMonoid α] :
HMul (Matrix l m α) (Matrix m n α) (Matrix l n α) where
hMul M N := fun i k => (fun j => M i j) ⬝ᵥ fun j => N j k
#align matrix.mul HMul.hMul
theorem mul_apply [Fintype m] [Mul α] [AddCommMonoid α] {M : Matrix l m α} {N : Matrix m n α}
{i k} : (M * N) i k = ∑ j, M i j * N j k :=
rfl
#align matrix.mul_apply Matrix.mul_apply
instance [Fintype n] [Mul α] [AddCommMonoid α] : Mul (Matrix n n α) where mul M N := M * N
#noalign matrix.mul_eq_mul
theorem mul_apply' [Fintype m] [Mul α] [AddCommMonoid α] {M : Matrix l m α} {N : Matrix m n α}
{i k} : (M * N) i k = (fun j => M i j) ⬝ᵥ fun j => N j k :=
rfl
#align matrix.mul_apply' Matrix.mul_apply'
theorem sum_apply [AddCommMonoid α] (i : m) (j : n) (s : Finset β) (g : β → Matrix m n α) :
(∑ c ∈ s, g c) i j = ∑ c ∈ s, g c i j :=
(congr_fun (s.sum_apply i g) j).trans (s.sum_apply j _)
#align matrix.sum_apply Matrix.sum_apply
theorem two_mul_expl {R : Type*} [CommRing R] (A B : Matrix (Fin 2) (Fin 2) R) :
(A * B) 0 0 = A 0 0 * B 0 0 + A 0 1 * B 1 0 ∧
(A * B) 0 1 = A 0 0 * B 0 1 + A 0 1 * B 1 1 ∧
(A * B) 1 0 = A 1 0 * B 0 0 + A 1 1 * B 1 0 ∧
(A * B) 1 1 = A 1 0 * B 0 1 + A 1 1 * B 1 1 := by
refine ⟨?_, ?_, ?_, ?_⟩ <;>
· rw [Matrix.mul_apply, Finset.sum_fin_eq_sum_range, Finset.sum_range_succ, Finset.sum_range_succ]
simp
#align matrix.two_mul_expl Matrix.two_mul_expl
instance instNonUnitalRing [Fintype n] [NonUnitalRing α] : NonUnitalRing (Matrix n n α) :=
{ Matrix.nonUnitalSemiring, Matrix.addCommGroup with }
#align matrix.non_unital_ring Matrix.instNonUnitalRing
instance instNonAssocRing [Fintype n] [DecidableEq n] [NonAssocRing α] :
NonAssocRing (Matrix n n α) :=
{ Matrix.nonAssocSemiring, Matrix.instAddCommGroupWithOne with }
#align matrix.non_assoc_ring Matrix.instNonAssocRing
instance instRing [Fintype n] [DecidableEq n] [Ring α] : Ring (Matrix n n α) :=
{ Matrix.semiring, Matrix.instAddCommGroupWithOne with }
#align matrix.ring Matrix.instRing
section Semiring
variable [Semiring α]
theorem diagonal_pow [Fintype n] [DecidableEq n] (v : n → α) (k : ℕ) :
diagonal v ^ k = diagonal (v ^ k) :=
(map_pow (diagonalRingHom n α) v k).symm
#align matrix.diagonal_pow Matrix.diagonal_pow
@[simp]
theorem mul_mul_left [Fintype n] (M : Matrix m n α) (N : Matrix n o α) (a : α) :
(of fun i j => a * M i j) * N = a • (M * N) :=
smul_mul a M N
#align matrix.mul_mul_left Matrix.mul_mul_left
def scalar (n : Type u) [DecidableEq n] [Fintype n] : α →+* Matrix n n α :=
(diagonalRingHom n α).comp <| Pi.constRingHom n α
#align matrix.scalar Matrix.scalar
section Transpose
open Matrix
@[simp]
theorem transpose_transpose (M : Matrix m n α) : Mᵀᵀ = M := by
ext
rfl
#align matrix.transpose_transpose Matrix.transpose_transpose
theorem transpose_injective : Function.Injective (transpose : Matrix m n α → Matrix n m α) :=
fun _ _ h => ext fun i j => ext_iff.2 h j i
@[simp] theorem transpose_inj {A B : Matrix m n α} : Aᵀ = Bᵀ ↔ A = B := transpose_injective.eq_iff
@[simp]
theorem transpose_zero [Zero α] : (0 : Matrix m n α)ᵀ = 0 := by
ext
rfl
#align matrix.transpose_zero Matrix.transpose_zero
@[simp]
theorem transpose_eq_zero [Zero α] {M : Matrix m n α} : Mᵀ = 0 ↔ M = 0 := transpose_inj
@[simp]
| Mathlib/Data/Matrix/Basic.lean | 2,061 | 2,066 | theorem transpose_one [DecidableEq n] [Zero α] [One α] : (1 : Matrix n n α)ᵀ = 1 := by |
ext i j
rw [transpose_apply, ← diagonal_one]
by_cases h : i = j
· simp only [h, diagonal_apply_eq]
· simp only [diagonal_apply_ne _ h, diagonal_apply_ne' _ h]
|
import Mathlib.Algebra.Group.Equiv.Basic
import Mathlib.Algebra.Group.Units.Hom
import Mathlib.Algebra.Opposites
import Mathlib.Algebra.Order.GroupWithZero.Synonym
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Data.Set.Lattice
import Mathlib.Tactic.Common
#align_import data.set.pointwise.basic from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654"
library_note "pointwise nat action"
open Function
variable {F α β γ : Type*}
namespace Set
section InvolutiveInv
variable [InvolutiveInv α] {s t : Set α} {a : α}
@[to_additive]
theorem inv_mem_inv : a⁻¹ ∈ s⁻¹ ↔ a ∈ s := by simp only [mem_inv, inv_inv]
#align set.inv_mem_inv Set.inv_mem_inv
#align set.neg_mem_neg Set.neg_mem_neg
@[to_additive (attr := simp)]
theorem nonempty_inv : s⁻¹.Nonempty ↔ s.Nonempty :=
inv_involutive.surjective.nonempty_preimage
#align set.nonempty_inv Set.nonempty_inv
#align set.nonempty_neg Set.nonempty_neg
@[to_additive]
theorem Nonempty.inv (h : s.Nonempty) : s⁻¹.Nonempty :=
nonempty_inv.2 h
#align set.nonempty.inv Set.Nonempty.inv
#align set.nonempty.neg Set.Nonempty.neg
@[to_additive (attr := simp)]
theorem image_inv : Inv.inv '' s = s⁻¹ :=
congr_fun (image_eq_preimage_of_inverse inv_involutive.leftInverse inv_involutive.rightInverse) _
#align set.image_inv Set.image_inv
#align set.image_neg Set.image_neg
@[to_additive (attr := simp)]
theorem inv_eq_empty : s⁻¹ = ∅ ↔ s = ∅ := by
rw [← image_inv, image_eq_empty]
@[to_additive (attr := simp)]
noncomputable instance involutiveInv : InvolutiveInv (Set α) where
inv := Inv.inv
inv_inv s := by simp only [← inv_preimage, preimage_preimage, inv_inv, preimage_id']
@[to_additive (attr := simp)]
theorem inv_subset_inv : s⁻¹ ⊆ t⁻¹ ↔ s ⊆ t :=
(Equiv.inv α).surjective.preimage_subset_preimage_iff
#align set.inv_subset_inv Set.inv_subset_inv
#align set.neg_subset_neg Set.neg_subset_neg
@[to_additive]
theorem inv_subset : s⁻¹ ⊆ t ↔ s ⊆ t⁻¹ := by rw [← inv_subset_inv, inv_inv]
#align set.inv_subset Set.inv_subset
#align set.neg_subset Set.neg_subset
@[to_additive (attr := simp)]
| Mathlib/Data/Set/Pointwise/Basic.lean | 283 | 283 | theorem inv_singleton (a : α) : ({a} : Set α)⁻¹ = {a⁻¹} := by | rw [← image_inv, image_singleton]
|
import Mathlib.Algebra.BigOperators.Option
import Mathlib.Analysis.BoxIntegral.Box.Basic
import Mathlib.Data.Set.Pairwise.Lattice
#align_import analysis.box_integral.partition.basic from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219"
open Set Finset Function
open scoped Classical
open NNReal
noncomputable section
namespace BoxIntegral
variable {ι : Type*}
structure Prepartition (I : Box ι) where
boxes : Finset (Box ι)
le_of_mem' : ∀ J ∈ boxes, J ≤ I
pairwiseDisjoint : Set.Pairwise (↑boxes) (Disjoint on ((↑) : Box ι → Set (ι → ℝ)))
#align box_integral.prepartition BoxIntegral.Prepartition
namespace Prepartition
variable {I J J₁ J₂ : Box ι} (π : Prepartition I) {π₁ π₂ : Prepartition I} {x : ι → ℝ}
instance : Membership (Box ι) (Prepartition I) :=
⟨fun J π => J ∈ π.boxes⟩
@[simp]
theorem mem_boxes : J ∈ π.boxes ↔ J ∈ π := Iff.rfl
#align box_integral.prepartition.mem_boxes BoxIntegral.Prepartition.mem_boxes
@[simp]
theorem mem_mk {s h₁ h₂} : J ∈ (mk s h₁ h₂ : Prepartition I) ↔ J ∈ s := Iff.rfl
#align box_integral.prepartition.mem_mk BoxIntegral.Prepartition.mem_mk
theorem disjoint_coe_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (h : J₁ ≠ J₂) :
Disjoint (J₁ : Set (ι → ℝ)) J₂ :=
π.pairwiseDisjoint h₁ h₂ h
#align box_integral.prepartition.disjoint_coe_of_mem BoxIntegral.Prepartition.disjoint_coe_of_mem
theorem eq_of_mem_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hx₁ : x ∈ J₁) (hx₂ : x ∈ J₂) : J₁ = J₂ :=
by_contra fun H => (π.disjoint_coe_of_mem h₁ h₂ H).le_bot ⟨hx₁, hx₂⟩
#align box_integral.prepartition.eq_of_mem_of_mem BoxIntegral.Prepartition.eq_of_mem_of_mem
theorem eq_of_le_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle₁ : J ≤ J₁) (hle₂ : J ≤ J₂) : J₁ = J₂ :=
π.eq_of_mem_of_mem h₁ h₂ (hle₁ J.upper_mem) (hle₂ J.upper_mem)
#align box_integral.prepartition.eq_of_le_of_le BoxIntegral.Prepartition.eq_of_le_of_le
theorem eq_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle : J₁ ≤ J₂) : J₁ = J₂ :=
π.eq_of_le_of_le h₁ h₂ le_rfl hle
#align box_integral.prepartition.eq_of_le BoxIntegral.Prepartition.eq_of_le
theorem le_of_mem (hJ : J ∈ π) : J ≤ I :=
π.le_of_mem' J hJ
#align box_integral.prepartition.le_of_mem BoxIntegral.Prepartition.le_of_mem
theorem lower_le_lower (hJ : J ∈ π) : I.lower ≤ J.lower :=
Box.antitone_lower (π.le_of_mem hJ)
#align box_integral.prepartition.lower_le_lower BoxIntegral.Prepartition.lower_le_lower
theorem upper_le_upper (hJ : J ∈ π) : J.upper ≤ I.upper :=
Box.monotone_upper (π.le_of_mem hJ)
#align box_integral.prepartition.upper_le_upper BoxIntegral.Prepartition.upper_le_upper
theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by
rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂)
rfl
#align box_integral.prepartition.injective_boxes BoxIntegral.Prepartition.injective_boxes
@[ext]
theorem ext (h : ∀ J, J ∈ π₁ ↔ J ∈ π₂) : π₁ = π₂ :=
injective_boxes <| Finset.ext h
#align box_integral.prepartition.ext BoxIntegral.Prepartition.ext
@[simps]
def single (I J : Box ι) (h : J ≤ I) : Prepartition I :=
⟨{J}, by simpa, by simp⟩
#align box_integral.prepartition.single BoxIntegral.Prepartition.single
@[simp]
theorem mem_single {J'} (h : J ≤ I) : J' ∈ single I J h ↔ J' = J :=
mem_singleton
#align box_integral.prepartition.mem_single BoxIntegral.Prepartition.mem_single
instance : LE (Prepartition I) :=
⟨fun π π' => ∀ ⦃I⦄, I ∈ π → ∃ I' ∈ π', I ≤ I'⟩
instance partialOrder : PartialOrder (Prepartition I) where
le := (· ≤ ·)
le_refl π I hI := ⟨I, hI, le_rfl⟩
le_trans π₁ π₂ π₃ h₁₂ h₂₃ I₁ hI₁ :=
let ⟨I₂, hI₂, hI₁₂⟩ := h₁₂ hI₁
let ⟨I₃, hI₃, hI₂₃⟩ := h₂₃ hI₂
⟨I₃, hI₃, hI₁₂.trans hI₂₃⟩
le_antisymm := by
suffices ∀ {π₁ π₂ : Prepartition I}, π₁ ≤ π₂ → π₂ ≤ π₁ → π₁.boxes ⊆ π₂.boxes from
fun π₁ π₂ h₁ h₂ => injective_boxes (Subset.antisymm (this h₁ h₂) (this h₂ h₁))
intro π₁ π₂ h₁ h₂ J hJ
rcases h₁ hJ with ⟨J', hJ', hle⟩; rcases h₂ hJ' with ⟨J'', hJ'', hle'⟩
obtain rfl : J = J'' := π₁.eq_of_le hJ hJ'' (hle.trans hle')
obtain rfl : J' = J := le_antisymm ‹_› ‹_›
assumption
instance : OrderTop (Prepartition I) where
top := single I I le_rfl
le_top π J hJ := ⟨I, by simp, π.le_of_mem hJ⟩
instance : OrderBot (Prepartition I) where
bot := ⟨∅,
fun _ hJ => (Finset.not_mem_empty _ hJ).elim,
fun _ hJ => (Set.not_mem_empty _ <| Finset.coe_empty ▸ hJ).elim⟩
bot_le _ _ hJ := (Finset.not_mem_empty _ hJ).elim
instance : Inhabited (Prepartition I) := ⟨⊤⟩
theorem le_def : π₁ ≤ π₂ ↔ ∀ J ∈ π₁, ∃ J' ∈ π₂, J ≤ J' := Iff.rfl
#align box_integral.prepartition.le_def BoxIntegral.Prepartition.le_def
@[simp]
theorem mem_top : J ∈ (⊤ : Prepartition I) ↔ J = I :=
mem_singleton
#align box_integral.prepartition.mem_top BoxIntegral.Prepartition.mem_top
@[simp]
theorem top_boxes : (⊤ : Prepartition I).boxes = {I} := rfl
#align box_integral.prepartition.top_boxes BoxIntegral.Prepartition.top_boxes
@[simp]
theorem not_mem_bot : J ∉ (⊥ : Prepartition I) :=
Finset.not_mem_empty _
#align box_integral.prepartition.not_mem_bot BoxIntegral.Prepartition.not_mem_bot
@[simp]
theorem bot_boxes : (⊥ : Prepartition I).boxes = ∅ := rfl
#align box_integral.prepartition.bot_boxes BoxIntegral.Prepartition.bot_boxes
theorem injOn_setOf_mem_Icc_setOf_lower_eq (x : ι → ℝ) :
InjOn (fun J : Box ι => { i | J.lower i = x i }) { J | J ∈ π ∧ x ∈ Box.Icc J } := by
rintro J₁ ⟨h₁, hx₁⟩ J₂ ⟨h₂, hx₂⟩ (H : { i | J₁.lower i = x i } = { i | J₂.lower i = x i })
suffices ∀ i, (Ioc (J₁.lower i) (J₁.upper i) ∩ Ioc (J₂.lower i) (J₂.upper i)).Nonempty by
choose y hy₁ hy₂ using this
exact π.eq_of_mem_of_mem h₁ h₂ hy₁ hy₂
intro i
simp only [Set.ext_iff, mem_setOf] at H
rcases (hx₁.1 i).eq_or_lt with hi₁ | hi₁
· have hi₂ : J₂.lower i = x i := (H _).1 hi₁
have H₁ : x i < J₁.upper i := by simpa only [hi₁] using J₁.lower_lt_upper i
have H₂ : x i < J₂.upper i := by simpa only [hi₂] using J₂.lower_lt_upper i
rw [Ioc_inter_Ioc, hi₁, hi₂, sup_idem, Set.nonempty_Ioc]
exact lt_min H₁ H₂
· have hi₂ : J₂.lower i < x i := (hx₂.1 i).lt_of_ne (mt (H _).2 hi₁.ne)
exact ⟨x i, ⟨hi₁, hx₁.2 i⟩, ⟨hi₂, hx₂.2 i⟩⟩
#align box_integral.prepartition.inj_on_set_of_mem_Icc_set_of_lower_eq BoxIntegral.Prepartition.injOn_setOf_mem_Icc_setOf_lower_eq
theorem card_filter_mem_Icc_le [Fintype ι] (x : ι → ℝ) :
(π.boxes.filter fun J : Box ι => x ∈ Box.Icc J).card ≤ 2 ^ Fintype.card ι := by
rw [← Fintype.card_set]
refine Finset.card_le_card_of_inj_on (fun J : Box ι => { i | J.lower i = x i })
(fun _ _ => Finset.mem_univ _) ?_
simpa only [Finset.mem_filter] using π.injOn_setOf_mem_Icc_setOf_lower_eq x
#align box_integral.prepartition.card_filter_mem_Icc_le BoxIntegral.Prepartition.card_filter_mem_Icc_le
protected def iUnion : Set (ι → ℝ) :=
⋃ J ∈ π, ↑J
#align box_integral.prepartition.Union BoxIntegral.Prepartition.iUnion
theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl
#align box_integral.prepartition.Union_def BoxIntegral.Prepartition.iUnion_def
theorem iUnion_def' : π.iUnion = ⋃ J ∈ π.boxes, ↑J := rfl
#align box_integral.prepartition.Union_def' BoxIntegral.Prepartition.iUnion_def'
-- Porting note: Previous proof was `:= Set.mem_iUnion₂`
@[simp]
theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by
convert Set.mem_iUnion₂
rw [Box.mem_coe, exists_prop]
#align box_integral.prepartition.mem_Union BoxIntegral.Prepartition.mem_iUnion
@[simp]
theorem iUnion_single (h : J ≤ I) : (single I J h).iUnion = J := by simp [iUnion_def]
#align box_integral.prepartition.Union_single BoxIntegral.Prepartition.iUnion_single
@[simp]
theorem iUnion_top : (⊤ : Prepartition I).iUnion = I := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_top BoxIntegral.Prepartition.iUnion_top
@[simp]
theorem iUnion_eq_empty : π₁.iUnion = ∅ ↔ π₁ = ⊥ := by
simp [← injective_boxes.eq_iff, Finset.ext_iff, Prepartition.iUnion, imp_false]
#align box_integral.prepartition.Union_eq_empty BoxIntegral.Prepartition.iUnion_eq_empty
@[simp]
theorem iUnion_bot : (⊥ : Prepartition I).iUnion = ∅ :=
iUnion_eq_empty.2 rfl
#align box_integral.prepartition.Union_bot BoxIntegral.Prepartition.iUnion_bot
theorem subset_iUnion (h : J ∈ π) : ↑J ⊆ π.iUnion :=
subset_biUnion_of_mem h
#align box_integral.prepartition.subset_Union BoxIntegral.Prepartition.subset_iUnion
theorem iUnion_subset : π.iUnion ⊆ I :=
iUnion₂_subset π.le_of_mem'
#align box_integral.prepartition.Union_subset BoxIntegral.Prepartition.iUnion_subset
@[mono]
theorem iUnion_mono (h : π₁ ≤ π₂) : π₁.iUnion ⊆ π₂.iUnion := fun _ hx =>
let ⟨_, hJ₁, hx⟩ := π₁.mem_iUnion.1 hx
let ⟨J₂, hJ₂, hle⟩ := h hJ₁
π₂.mem_iUnion.2 ⟨J₂, hJ₂, hle hx⟩
#align box_integral.prepartition.Union_mono BoxIntegral.Prepartition.iUnion_mono
theorem disjoint_boxes_of_disjoint_iUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
Disjoint π₁.boxes π₂.boxes :=
Finset.disjoint_left.2 fun J h₁ h₂ =>
Disjoint.le_bot (h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)) ⟨J.upper_mem, J.upper_mem⟩
#align box_integral.prepartition.disjoint_boxes_of_disjoint_Union BoxIntegral.Prepartition.disjoint_boxes_of_disjoint_iUnion
theorem le_iff_nonempty_imp_le_and_iUnion_subset :
π₁ ≤ π₂ ↔
(∀ J ∈ π₁, ∀ J' ∈ π₂, (J ∩ J' : Set (ι → ℝ)).Nonempty → J ≤ J') ∧ π₁.iUnion ⊆ π₂.iUnion := by
constructor
· refine fun H => ⟨fun J hJ J' hJ' Hne => ?_, iUnion_mono H⟩
rcases H hJ with ⟨J'', hJ'', Hle⟩
rcases Hne with ⟨x, hx, hx'⟩
rwa [π₂.eq_of_mem_of_mem hJ' hJ'' hx' (Hle hx)]
· rintro ⟨H, HU⟩ J hJ
simp only [Set.subset_def, mem_iUnion] at HU
rcases HU J.upper ⟨J, hJ, J.upper_mem⟩ with ⟨J₂, hJ₂, hx⟩
exact ⟨J₂, hJ₂, H _ hJ _ hJ₂ ⟨_, J.upper_mem, hx⟩⟩
#align box_integral.prepartition.le_iff_nonempty_imp_le_and_Union_subset BoxIntegral.Prepartition.le_iff_nonempty_imp_le_and_iUnion_subset
theorem eq_of_boxes_subset_iUnion_superset (h₁ : π₁.boxes ⊆ π₂.boxes) (h₂ : π₂.iUnion ⊆ π₁.iUnion) :
π₁ = π₂ :=
le_antisymm (fun J hJ => ⟨J, h₁ hJ, le_rfl⟩) <|
le_iff_nonempty_imp_le_and_iUnion_subset.2
⟨fun _ hJ₁ _ hJ₂ Hne =>
(π₂.eq_of_mem_of_mem hJ₁ (h₁ hJ₂) Hne.choose_spec.1 Hne.choose_spec.2).le, h₂⟩
#align box_integral.prepartition.eq_of_boxes_subset_Union_superset BoxIntegral.Prepartition.eq_of_boxes_subset_iUnion_superset
@[simps]
def biUnion (πi : ∀ J : Box ι, Prepartition J) : Prepartition I where
boxes := π.boxes.biUnion fun J => (πi J).boxes
le_of_mem' J hJ := by
simp only [Finset.mem_biUnion, exists_prop, mem_boxes] at hJ
rcases hJ with ⟨J', hJ', hJ⟩
exact ((πi J').le_of_mem hJ).trans (π.le_of_mem hJ')
pairwiseDisjoint := by
simp only [Set.Pairwise, Finset.mem_coe, Finset.mem_biUnion]
rintro J₁' ⟨J₁, hJ₁, hJ₁'⟩ J₂' ⟨J₂, hJ₂, hJ₂'⟩ Hne
rw [Function.onFun, Set.disjoint_left]
rintro x hx₁ hx₂; apply Hne
obtain rfl : J₁ = J₂ :=
π.eq_of_mem_of_mem hJ₁ hJ₂ ((πi J₁).le_of_mem hJ₁' hx₁) ((πi J₂).le_of_mem hJ₂' hx₂)
exact (πi J₁).eq_of_mem_of_mem hJ₁' hJ₂' hx₁ hx₂
#align box_integral.prepartition.bUnion BoxIntegral.Prepartition.biUnion
variable {πi πi₁ πi₂ : ∀ J : Box ι, Prepartition J}
@[simp]
theorem mem_biUnion : J ∈ π.biUnion πi ↔ ∃ J' ∈ π, J ∈ πi J' := by simp [biUnion]
#align box_integral.prepartition.mem_bUnion BoxIntegral.Prepartition.mem_biUnion
theorem biUnion_le (πi : ∀ J, Prepartition J) : π.biUnion πi ≤ π := fun _ hJ =>
let ⟨J', hJ', hJ⟩ := π.mem_biUnion.1 hJ
⟨J', hJ', (πi J').le_of_mem hJ⟩
#align box_integral.prepartition.bUnion_le BoxIntegral.Prepartition.biUnion_le
@[simp]
theorem biUnion_top : (π.biUnion fun _ => ⊤) = π := by
ext
simp
#align box_integral.prepartition.bUnion_top BoxIntegral.Prepartition.biUnion_top
@[congr]
theorem biUnion_congr (h : π₁ = π₂) (hi : ∀ J ∈ π₁, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ := by
subst π₂
ext J
simp only [mem_biUnion]
constructor <;> exact fun ⟨J', h₁, h₂⟩ => ⟨J', h₁, hi J' h₁ ▸ h₂⟩
#align box_integral.prepartition.bUnion_congr BoxIntegral.Prepartition.biUnion_congr
theorem biUnion_congr_of_le (h : π₁ = π₂) (hi : ∀ J ≤ I, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ :=
biUnion_congr h fun J hJ => hi J (π₁.le_of_mem hJ)
#align box_integral.prepartition.bUnion_congr_of_le BoxIntegral.Prepartition.biUnion_congr_of_le
@[simp]
theorem iUnion_biUnion (πi : ∀ J : Box ι, Prepartition J) :
(π.biUnion πi).iUnion = ⋃ J ∈ π, (πi J).iUnion := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_bUnion BoxIntegral.Prepartition.iUnion_biUnion
@[simp]
theorem sum_biUnion_boxes {M : Type*} [AddCommMonoid M] (π : Prepartition I)
(πi : ∀ J, Prepartition J) (f : Box ι → M) :
(∑ J ∈ π.boxes.biUnion fun J => (πi J).boxes, f J) =
∑ J ∈ π.boxes, ∑ J' ∈ (πi J).boxes, f J' := by
refine Finset.sum_biUnion fun J₁ h₁ J₂ h₂ hne => Finset.disjoint_left.2 fun J' h₁' h₂' => ?_
exact hne (π.eq_of_le_of_le h₁ h₂ ((πi J₁).le_of_mem h₁') ((πi J₂).le_of_mem h₂'))
#align box_integral.prepartition.sum_bUnion_boxes BoxIntegral.Prepartition.sum_biUnion_boxes
def biUnionIndex (πi : ∀ (J : Box ι), Prepartition J) (J : Box ι) : Box ι :=
if hJ : J ∈ π.biUnion πi then (π.mem_biUnion.1 hJ).choose else I
#align box_integral.prepartition.bUnion_index BoxIntegral.Prepartition.biUnionIndex
theorem biUnionIndex_mem (hJ : J ∈ π.biUnion πi) : π.biUnionIndex πi J ∈ π := by
rw [biUnionIndex, dif_pos hJ]
exact (π.mem_biUnion.1 hJ).choose_spec.1
#align box_integral.prepartition.bUnion_index_mem BoxIntegral.Prepartition.biUnionIndex_mem
theorem biUnionIndex_le (πi : ∀ J, Prepartition J) (J : Box ι) : π.biUnionIndex πi J ≤ I := by
by_cases hJ : J ∈ π.biUnion πi
· exact π.le_of_mem (π.biUnionIndex_mem hJ)
· rw [biUnionIndex, dif_neg hJ]
#align box_integral.prepartition.bUnion_index_le BoxIntegral.Prepartition.biUnionIndex_le
theorem mem_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ∈ πi (π.biUnionIndex πi J) := by
convert (π.mem_biUnion.1 hJ).choose_spec.2 <;> exact dif_pos hJ
#align box_integral.prepartition.mem_bUnion_index BoxIntegral.Prepartition.mem_biUnionIndex
theorem le_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ≤ π.biUnionIndex πi J :=
le_of_mem _ (π.mem_biUnionIndex hJ)
#align box_integral.prepartition.le_bUnion_index BoxIntegral.Prepartition.le_biUnionIndex
theorem biUnionIndex_of_mem (hJ : J ∈ π) {J'} (hJ' : J' ∈ πi J) : π.biUnionIndex πi J' = J :=
have : J' ∈ π.biUnion πi := π.mem_biUnion.2 ⟨J, hJ, hJ'⟩
π.eq_of_le_of_le (π.biUnionIndex_mem this) hJ (π.le_biUnionIndex this) (le_of_mem _ hJ')
#align box_integral.prepartition.bUnion_index_of_mem BoxIntegral.Prepartition.biUnionIndex_of_mem
theorem biUnion_assoc (πi : ∀ J, Prepartition J) (πi' : Box ι → ∀ J : Box ι, Prepartition J) :
(π.biUnion fun J => (πi J).biUnion (πi' J)) =
(π.biUnion πi).biUnion fun J => πi' (π.biUnionIndex πi J) J := by
ext J
simp only [mem_biUnion, exists_prop]
constructor
· rintro ⟨J₁, hJ₁, J₂, hJ₂, hJ⟩
refine ⟨J₂, ⟨J₁, hJ₁, hJ₂⟩, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₁ hJ₂]
· rintro ⟨J₁, ⟨J₂, hJ₂, hJ₁⟩, hJ⟩
refine ⟨J₂, hJ₂, J₁, hJ₁, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₂ hJ₁] at hJ
#align box_integral.prepartition.bUnion_assoc BoxIntegral.Prepartition.biUnion_assoc
def ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
Prepartition I where
boxes := Finset.eraseNone boxes
le_of_mem' J hJ := by
rw [mem_eraseNone] at hJ
simpa only [WithBot.some_eq_coe, WithBot.coe_le_coe] using le_of_mem _ hJ
pairwiseDisjoint J₁ h₁ J₂ h₂ hne := by
simp only [mem_coe, mem_eraseNone] at h₁ h₂
exact Box.disjoint_coe.1 (pairwise_disjoint h₁ h₂ (mt Option.some_inj.1 hne))
#align box_integral.prepartition.of_with_bot BoxIntegral.Prepartition.ofWithBot
@[simp]
theorem mem_ofWithBot {boxes : Finset (WithBot (Box ι))} {h₁ h₂} :
J ∈ (ofWithBot boxes h₁ h₂ : Prepartition I) ↔ (J : WithBot (Box ι)) ∈ boxes :=
mem_eraseNone
#align box_integral.prepartition.mem_of_with_bot BoxIntegral.Prepartition.mem_ofWithBot
@[simp]
theorem iUnion_ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
(ofWithBot boxes le_of_mem pairwise_disjoint).iUnion = ⋃ J ∈ boxes, ↑J := by
suffices ⋃ (J : Box ι) (_ : ↑J ∈ boxes), ↑J = ⋃ J ∈ boxes, (J : Set (ι → ℝ)) by
simpa [ofWithBot, Prepartition.iUnion]
simp only [← Box.biUnion_coe_eq_coe, @iUnion_comm _ _ (Box ι), @iUnion_comm _ _ (@Eq _ _ _),
iUnion_iUnion_eq_right]
#align box_integral.prepartition.Union_of_with_bot BoxIntegral.Prepartition.iUnion_ofWithBot
theorem ofWithBot_le {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes, J ≠ ⊥ → ∃ J' ∈ π, J ≤ ↑J') :
ofWithBot boxes le_of_mem pairwise_disjoint ≤ π := by
have : ∀ J : Box ι, ↑J ∈ boxes → ∃ J' ∈ π, J ≤ J' := fun J hJ => by
simpa only [WithBot.coe_le_coe] using H J hJ WithBot.coe_ne_bot
simpa [ofWithBot, le_def]
#align box_integral.prepartition.of_with_bot_le BoxIntegral.Prepartition.ofWithBot_le
theorem le_ofWithBot {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ π, ∃ J' ∈ boxes, ↑J ≤ J') : π ≤ ofWithBot boxes le_of_mem pairwise_disjoint := by
intro J hJ
rcases H J hJ with ⟨J', J'mem, hle⟩
lift J' to Box ι using ne_bot_of_le_ne_bot WithBot.coe_ne_bot hle
exact ⟨J', mem_ofWithBot.2 J'mem, WithBot.coe_le_coe.1 hle⟩
#align box_integral.prepartition.le_of_with_bot BoxIntegral.Prepartition.le_ofWithBot
theorem ofWithBot_mono {boxes₁ : Finset (WithBot (Box ι))}
{le_of_mem₁ : ∀ J ∈ boxes₁, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₁ : Set.Pairwise (boxes₁ : Set (WithBot (Box ι))) Disjoint}
{boxes₂ : Finset (WithBot (Box ι))} {le_of_mem₂ : ∀ J ∈ boxes₂, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₂ : Set.Pairwise (boxes₂ : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes₁, J ≠ ⊥ → ∃ J' ∈ boxes₂, J ≤ J') :
ofWithBot boxes₁ le_of_mem₁ pairwise_disjoint₁ ≤
ofWithBot boxes₂ le_of_mem₂ pairwise_disjoint₂ :=
le_ofWithBot _ fun J hJ => H J (mem_ofWithBot.1 hJ) WithBot.coe_ne_bot
#align box_integral.prepartition.of_with_bot_mono BoxIntegral.Prepartition.ofWithBot_mono
theorem sum_ofWithBot {M : Type*} [AddCommMonoid M] (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) (f : Box ι → M) :
(∑ J ∈ (ofWithBot boxes le_of_mem pairwise_disjoint).boxes, f J) =
∑ J ∈ boxes, Option.elim' 0 f J :=
Finset.sum_eraseNone _ _
#align box_integral.prepartition.sum_of_with_bot BoxIntegral.Prepartition.sum_ofWithBot
def restrict (π : Prepartition I) (J : Box ι) : Prepartition J :=
ofWithBot (π.boxes.image fun J' : Box ι => J ⊓ J')
(fun J' hJ' => by
rcases Finset.mem_image.1 hJ' with ⟨J', -, rfl⟩
exact inf_le_left)
(by
simp only [Set.Pairwise, onFun, Finset.mem_coe, Finset.mem_image]
rintro _ ⟨J₁, h₁, rfl⟩ _ ⟨J₂, h₂, rfl⟩ Hne
have : J₁ ≠ J₂ := by
rintro rfl
exact Hne rfl
exact ((Box.disjoint_coe.2 <| π.disjoint_coe_of_mem h₁ h₂ this).inf_left' _).inf_right' _)
#align box_integral.prepartition.restrict BoxIntegral.Prepartition.restrict
@[simp]
theorem mem_restrict : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : WithBot (Box ι)) = ↑J ⊓ ↑J' := by
simp [restrict, eq_comm]
#align box_integral.prepartition.mem_restrict BoxIntegral.Prepartition.mem_restrict
theorem mem_restrict' : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : Set (ι → ℝ)) = ↑J ∩ ↑J' := by
simp only [mem_restrict, ← Box.withBotCoe_inj, Box.coe_inf, Box.coe_coe]
#align box_integral.prepartition.mem_restrict' BoxIntegral.Prepartition.mem_restrict'
@[mono]
theorem restrict_mono {π₁ π₂ : Prepartition I} (Hle : π₁ ≤ π₂) : π₁.restrict J ≤ π₂.restrict J := by
refine ofWithBot_mono fun J₁ hJ₁ hne => ?_
rw [Finset.mem_image] at hJ₁; rcases hJ₁ with ⟨J₁, hJ₁, rfl⟩
rcases Hle hJ₁ with ⟨J₂, hJ₂, hle⟩
exact ⟨_, Finset.mem_image_of_mem _ hJ₂, inf_le_inf_left _ <| WithBot.coe_le_coe.2 hle⟩
#align box_integral.prepartition.restrict_mono BoxIntegral.Prepartition.restrict_mono
theorem monotone_restrict : Monotone fun π : Prepartition I => restrict π J :=
fun _ _ => restrict_mono
#align box_integral.prepartition.monotone_restrict BoxIntegral.Prepartition.monotone_restrict
theorem restrict_boxes_of_le (π : Prepartition I) (h : I ≤ J) : (π.restrict J).boxes = π.boxes := by
simp only [restrict, ofWithBot, eraseNone_eq_biUnion]
refine Finset.image_biUnion.trans ?_
refine (Finset.biUnion_congr rfl ?_).trans Finset.biUnion_singleton_eq_self
intro J' hJ'
rw [inf_of_le_right, ← WithBot.some_eq_coe, Option.toFinset_some]
exact WithBot.coe_le_coe.2 ((π.le_of_mem hJ').trans h)
#align box_integral.prepartition.restrict_boxes_of_le BoxIntegral.Prepartition.restrict_boxes_of_le
@[simp]
theorem restrict_self : π.restrict I = π :=
injective_boxes <| restrict_boxes_of_le π le_rfl
#align box_integral.prepartition.restrict_self BoxIntegral.Prepartition.restrict_self
@[simp]
theorem iUnion_restrict : (π.restrict J).iUnion = (J : Set (ι → ℝ)) ∩ (π.iUnion) := by
simp [restrict, ← inter_iUnion, ← iUnion_def]
#align box_integral.prepartition.Union_restrict BoxIntegral.Prepartition.iUnion_restrict
@[simp]
theorem restrict_biUnion (πi : ∀ J, Prepartition J) (hJ : J ∈ π) :
(π.biUnion πi).restrict J = πi J := by
refine (eq_of_boxes_subset_iUnion_superset (fun J₁ h₁ => ?_) ?_).symm
· refine (mem_restrict _).2 ⟨J₁, π.mem_biUnion.2 ⟨J, hJ, h₁⟩, (inf_of_le_right ?_).symm⟩
exact WithBot.coe_le_coe.2 (le_of_mem _ h₁)
· simp only [iUnion_restrict, iUnion_biUnion, Set.subset_def, Set.mem_inter_iff, Set.mem_iUnion]
rintro x ⟨hxJ, J₁, h₁, hx⟩
obtain rfl : J = J₁ := π.eq_of_mem_of_mem hJ h₁ hxJ (iUnion_subset _ hx)
exact hx
#align box_integral.prepartition.restrict_bUnion BoxIntegral.Prepartition.restrict_biUnion
theorem biUnion_le_iff {πi : ∀ J, Prepartition J} {π' : Prepartition I} :
π.biUnion πi ≤ π' ↔ ∀ J ∈ π, πi J ≤ π'.restrict J := by
constructor <;> intro H J hJ
· rw [← π.restrict_biUnion πi hJ]
exact restrict_mono H
· rw [mem_biUnion] at hJ
rcases hJ with ⟨J₁, h₁, hJ⟩
rcases H J₁ h₁ hJ with ⟨J₂, h₂, Hle⟩
rcases π'.mem_restrict.mp h₂ with ⟨J₃, h₃, H⟩
exact ⟨J₃, h₃, Hle.trans <| WithBot.coe_le_coe.1 <| H.trans_le inf_le_right⟩
#align box_integral.prepartition.bUnion_le_iff BoxIntegral.Prepartition.biUnion_le_iff
theorem le_biUnion_iff {πi : ∀ J, Prepartition J} {π' : Prepartition I} :
π' ≤ π.biUnion πi ↔ π' ≤ π ∧ ∀ J ∈ π, π'.restrict J ≤ πi J := by
refine ⟨fun H => ⟨H.trans (π.biUnion_le πi), fun J hJ => ?_⟩, ?_⟩
· rw [← π.restrict_biUnion πi hJ]
exact restrict_mono H
· rintro ⟨H, Hi⟩ J' hJ'
rcases H hJ' with ⟨J, hJ, hle⟩
have : J' ∈ π'.restrict J :=
π'.mem_restrict.2 ⟨J', hJ', (inf_of_le_right <| WithBot.coe_le_coe.2 hle).symm⟩
rcases Hi J hJ this with ⟨Ji, hJi, hlei⟩
exact ⟨Ji, π.mem_biUnion.2 ⟨J, hJ, hJi⟩, hlei⟩
#align box_integral.prepartition.le_bUnion_iff BoxIntegral.Prepartition.le_biUnion_iff
instance inf : Inf (Prepartition I) :=
⟨fun π₁ π₂ => π₁.biUnion fun J => π₂.restrict J⟩
theorem inf_def (π₁ π₂ : Prepartition I) : π₁ ⊓ π₂ = π₁.biUnion fun J => π₂.restrict J := rfl
#align box_integral.prepartition.inf_def BoxIntegral.Prepartition.inf_def
@[simp]
theorem mem_inf {π₁ π₂ : Prepartition I} :
J ∈ π₁ ⊓ π₂ ↔ ∃ J₁ ∈ π₁, ∃ J₂ ∈ π₂, (J : WithBot (Box ι)) = ↑J₁ ⊓ ↑J₂ := by
simp only [inf_def, mem_biUnion, mem_restrict]
#align box_integral.prepartition.mem_inf BoxIntegral.Prepartition.mem_inf
@[simp]
theorem iUnion_inf (π₁ π₂ : Prepartition I) : (π₁ ⊓ π₂).iUnion = π₁.iUnion ∩ π₂.iUnion := by
simp only [inf_def, iUnion_biUnion, iUnion_restrict, ← iUnion_inter, ← iUnion_def]
#align box_integral.prepartition.Union_inf BoxIntegral.Prepartition.iUnion_inf
instance : SemilatticeInf (Prepartition I) :=
{ Prepartition.inf,
Prepartition.partialOrder with
inf_le_left := fun π₁ _ => π₁.biUnion_le _
inf_le_right := fun _ _ => (biUnion_le_iff _).2 fun _ _ => le_rfl
le_inf := fun _ π₁ _ h₁ h₂ => π₁.le_biUnion_iff.2 ⟨h₁, fun _ _ => restrict_mono h₂⟩ }
@[simps]
def filter (π : Prepartition I) (p : Box ι → Prop) : Prepartition I where
boxes := π.boxes.filter p
le_of_mem' _ hJ := π.le_of_mem (mem_filter.1 hJ).1
pairwiseDisjoint _ h₁ _ h₂ := π.disjoint_coe_of_mem (mem_filter.1 h₁).1 (mem_filter.1 h₂).1
#align box_integral.prepartition.filter BoxIntegral.Prepartition.filter
@[simp]
theorem mem_filter {p : Box ι → Prop} : J ∈ π.filter p ↔ J ∈ π ∧ p J :=
Finset.mem_filter
#align box_integral.prepartition.mem_filter BoxIntegral.Prepartition.mem_filter
theorem filter_le (π : Prepartition I) (p : Box ι → Prop) : π.filter p ≤ π := fun J hJ =>
let ⟨hπ, _⟩ := π.mem_filter.1 hJ
⟨J, hπ, le_rfl⟩
#align box_integral.prepartition.filter_le BoxIntegral.Prepartition.filter_le
theorem filter_of_true {p : Box ι → Prop} (hp : ∀ J ∈ π, p J) : π.filter p = π := by
ext J
simpa using hp J
#align box_integral.prepartition.filter_of_true BoxIntegral.Prepartition.filter_of_true
@[simp]
theorem filter_true : (π.filter fun _ => True) = π :=
π.filter_of_true fun _ _ => trivial
#align box_integral.prepartition.filter_true BoxIntegral.Prepartition.filter_true
@[simp]
| Mathlib/Analysis/BoxIntegral/Partition/Basic.lean | 622 | 630 | theorem iUnion_filter_not (π : Prepartition I) (p : Box ι → Prop) :
(π.filter fun J => ¬p J).iUnion = π.iUnion \ (π.filter p).iUnion := by |
simp only [Prepartition.iUnion]
convert (@Set.biUnion_diff_biUnion_eq (ι → ℝ) (Box ι) π.boxes (π.filter p).boxes (↑) _).symm
· simp (config := { contextual := true })
· rw [Set.PairwiseDisjoint]
convert π.pairwiseDisjoint
rw [Set.union_eq_left, filter_boxes, coe_filter]
exact fun _ ⟨h, _⟩ => h
|
import Mathlib.RingTheory.Derivation.ToSquareZero
import Mathlib.RingTheory.Ideal.Cotangent
import Mathlib.RingTheory.IsTensorProduct
import Mathlib.Algebra.Exact
import Mathlib.Algebra.MvPolynomial.PDeriv
import Mathlib.Algebra.Polynomial.Derivation
#align_import ring_theory.kaehler from "leanprover-community/mathlib"@"4b92a463033b5587bb011657e25e4710bfca7364"
suppress_compilation
section KaehlerDifferential
open scoped TensorProduct
open Algebra
universe u v
variable (R : Type u) (S : Type v) [CommRing R] [CommRing S] [Algebra R S]
abbrev KaehlerDifferential.ideal : Ideal (S ⊗[R] S) :=
RingHom.ker (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S)
#align kaehler_differential.ideal KaehlerDifferential.ideal
variable {S}
theorem KaehlerDifferential.one_smul_sub_smul_one_mem_ideal (a : S) :
(1 : S) ⊗ₜ[R] a - a ⊗ₜ[R] (1 : S) ∈ KaehlerDifferential.ideal R S := by simp [RingHom.mem_ker]
#align kaehler_differential.one_smul_sub_smul_one_mem_ideal KaehlerDifferential.one_smul_sub_smul_one_mem_ideal
variable {R}
variable {M : Type*} [AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M]
def Derivation.tensorProductTo (D : Derivation R S M) : S ⊗[R] S →ₗ[S] M :=
TensorProduct.AlgebraTensorModule.lift ((LinearMap.lsmul S (S →ₗ[R] M)).flip D.toLinearMap)
#align derivation.tensor_product_to Derivation.tensorProductTo
theorem Derivation.tensorProductTo_tmul (D : Derivation R S M) (s t : S) :
D.tensorProductTo (s ⊗ₜ t) = s • D t := rfl
#align derivation.tensor_product_to_tmul Derivation.tensorProductTo_tmul
theorem Derivation.tensorProductTo_mul (D : Derivation R S M) (x y : S ⊗[R] S) :
D.tensorProductTo (x * y) =
TensorProduct.lmul' (S := S) R x • D.tensorProductTo y +
TensorProduct.lmul' (S := S) R y • D.tensorProductTo x := by
refine TensorProduct.induction_on x ?_ ?_ ?_
· rw [zero_mul, map_zero, map_zero, zero_smul, smul_zero, add_zero]
swap
· intro x₁ y₁ h₁ h₂
rw [add_mul, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm]
intro x₁ x₂
refine TensorProduct.induction_on y ?_ ?_ ?_
· rw [mul_zero, map_zero, map_zero, zero_smul, smul_zero, add_zero]
swap
· intro x₁ y₁ h₁ h₂
rw [mul_add, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm]
intro x y
simp only [TensorProduct.tmul_mul_tmul, Derivation.tensorProductTo,
TensorProduct.AlgebraTensorModule.lift_apply, TensorProduct.lift.tmul',
TensorProduct.lmul'_apply_tmul]
dsimp
rw [D.leibniz]
simp only [smul_smul, smul_add, mul_comm (x * y) x₁, mul_right_comm x₁ x₂, ← mul_assoc]
#align derivation.tensor_product_to_mul Derivation.tensorProductTo_mul
variable (R S)
| Mathlib/RingTheory/Kaehler.lean | 105 | 128 | theorem KaehlerDifferential.submodule_span_range_eq_ideal :
Submodule.span S (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) =
(KaehlerDifferential.ideal R S).restrictScalars S := by |
apply le_antisymm
· rw [Submodule.span_le]
rintro _ ⟨s, rfl⟩
exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _
· rintro x (hx : _ = _)
have : x - TensorProduct.lmul' (S := S) R x ⊗ₜ[R] (1 : S) = x := by
rw [hx, TensorProduct.zero_tmul, sub_zero]
rw [← this]
clear this hx
refine TensorProduct.induction_on x ?_ ?_ ?_
· rw [map_zero, TensorProduct.zero_tmul, sub_zero]; exact zero_mem _
· intro x y
have : x ⊗ₜ[R] y - (x * y) ⊗ₜ[R] (1 : S) = x • ((1 : S) ⊗ₜ y - y ⊗ₜ (1 : S)) := by
simp_rw [smul_sub, TensorProduct.smul_tmul', smul_eq_mul, mul_one]
rw [TensorProduct.lmul'_apply_tmul, this]
refine Submodule.smul_mem _ x ?_
apply Submodule.subset_span
exact Set.mem_range_self y
· intro x y hx hy
rw [map_add, TensorProduct.add_tmul, ← sub_add_sub_comm]
exact add_mem hx hy
|
import Mathlib.Algebra.Module.Submodule.Bilinear
import Mathlib.GroupTheory.Congruence.Basic
import Mathlib.LinearAlgebra.Basic
import Mathlib.Tactic.SuppressCompilation
#align_import linear_algebra.tensor_product from "leanprover-community/mathlib"@"88fcdc3da43943f5b01925deddaa5bf0c0e85e4e"
suppress_compilation
section Semiring
variable {R : Type*} [CommSemiring R]
variable {R' : Type*} [Monoid R']
variable {R'' : Type*} [Semiring R'']
variable {M : Type*} {N : Type*} {P : Type*} {Q : Type*} {S : Type*} {T : Type*}
variable [AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P]
variable [AddCommMonoid Q] [AddCommMonoid S] [AddCommMonoid T]
variable [Module R M] [Module R N] [Module R P] [Module R Q] [Module R S] [Module R T]
variable [DistribMulAction R' M]
variable [Module R'' M]
variable (M N)
variable (R)
def TensorProduct : Type _ :=
(addConGen (TensorProduct.Eqv R M N)).Quotient
#align tensor_product TensorProduct
variable {R}
set_option quotPrecheck false in
@[inherit_doc TensorProduct] scoped[TensorProduct] infixl:100 " ⊗ " => TensorProduct _
@[inherit_doc] scoped[TensorProduct] notation:100 M " ⊗[" R "] " N:100 => TensorProduct R M N
namespace TensorProduct
section Module
protected instance add : Add (M ⊗[R] N) :=
(addConGen (TensorProduct.Eqv R M N)).hasAdd
instance addZeroClass : AddZeroClass (M ⊗[R] N) :=
{ (addConGen (TensorProduct.Eqv R M N)).addMonoid with
toAdd := TensorProduct.add _ _ }
instance addSemigroup : AddSemigroup (M ⊗[R] N) :=
{ (addConGen (TensorProduct.Eqv R M N)).addMonoid with
toAdd := TensorProduct.add _ _ }
instance addCommSemigroup : AddCommSemigroup (M ⊗[R] N) :=
{ (addConGen (TensorProduct.Eqv R M N)).addMonoid with
toAddSemigroup := TensorProduct.addSemigroup _ _
add_comm := fun x y =>
AddCon.induction_on₂ x y fun _ _ =>
Quotient.sound' <| AddConGen.Rel.of _ _ <| Eqv.add_comm _ _ }
instance : Inhabited (M ⊗[R] N) :=
⟨0⟩
variable (R) {M N}
def tmul (m : M) (n : N) : M ⊗[R] N :=
AddCon.mk' _ <| FreeAddMonoid.of (m, n)
#align tensor_product.tmul TensorProduct.tmul
variable {R}
infixl:100 " ⊗ₜ " => tmul _
notation:100 x " ⊗ₜ[" R "] " y:100 => tmul R x y
-- Porting note: make the arguments of induction_on explicit
@[elab_as_elim]
protected theorem induction_on {motive : M ⊗[R] N → Prop} (z : M ⊗[R] N)
(zero : motive 0)
(tmul : ∀ x y, motive <| x ⊗ₜ[R] y)
(add : ∀ x y, motive x → motive y → motive (x + y)) : motive z :=
AddCon.induction_on z fun x =>
FreeAddMonoid.recOn x zero fun ⟨m, n⟩ y ih => by
rw [AddCon.coe_add]
exact add _ _ (tmul ..) ih
#align tensor_product.induction_on TensorProduct.induction_on
-- TODO: use this to implement `lift` and `SMul.aux`. For now we do not do this as it causes
-- performance issues elsewhere.
def liftAddHom (f : M →+ N →+ P)
(hf : ∀ (r : R) (m : M) (n : N), f (r • m) n = f m (r • n)) :
M ⊗[R] N →+ P :=
(addConGen (TensorProduct.Eqv R M N)).lift (FreeAddMonoid.lift (fun mn : M × N => f mn.1 mn.2)) <|
AddCon.addConGen_le fun x y hxy =>
match x, y, hxy with
| _, _, .of_zero_left n =>
(AddCon.ker_rel _).2 <| by simp_rw [map_zero, FreeAddMonoid.lift_eval_of, map_zero,
AddMonoidHom.zero_apply]
| _, _, .of_zero_right m =>
(AddCon.ker_rel _).2 <| by simp_rw [map_zero, FreeAddMonoid.lift_eval_of, map_zero]
| _, _, .of_add_left m₁ m₂ n =>
(AddCon.ker_rel _).2 <| by simp_rw [map_add, FreeAddMonoid.lift_eval_of, map_add,
AddMonoidHom.add_apply]
| _, _, .of_add_right m n₁ n₂ =>
(AddCon.ker_rel _).2 <| by simp_rw [map_add, FreeAddMonoid.lift_eval_of, map_add]
| _, _, .of_smul s m n =>
(AddCon.ker_rel _).2 <| by rw [FreeAddMonoid.lift_eval_of, FreeAddMonoid.lift_eval_of, hf]
| _, _, .add_comm x y =>
(AddCon.ker_rel _).2 <| by simp_rw [map_add, add_comm]
@[simp]
theorem liftAddHom_tmul (f : M →+ N →+ P)
(hf : ∀ (r : R) (m : M) (n : N), f (r • m) n = f m (r • n)) (m : M) (n : N) :
liftAddHom f hf (m ⊗ₜ n) = f m n :=
rfl
variable (M)
@[simp]
theorem zero_tmul (n : N) : (0 : M) ⊗ₜ[R] n = 0 :=
Quotient.sound' <| AddConGen.Rel.of _ _ <| Eqv.of_zero_left _
#align tensor_product.zero_tmul TensorProduct.zero_tmul
variable {M}
theorem add_tmul (m₁ m₂ : M) (n : N) : (m₁ + m₂) ⊗ₜ n = m₁ ⊗ₜ n + m₂ ⊗ₜ[R] n :=
Eq.symm <| Quotient.sound' <| AddConGen.Rel.of _ _ <| Eqv.of_add_left _ _ _
#align tensor_product.add_tmul TensorProduct.add_tmul
variable (N)
@[simp]
theorem tmul_zero (m : M) : m ⊗ₜ[R] (0 : N) = 0 :=
Quotient.sound' <| AddConGen.Rel.of _ _ <| Eqv.of_zero_right _
#align tensor_product.tmul_zero TensorProduct.tmul_zero
variable {N}
theorem tmul_add (m : M) (n₁ n₂ : N) : m ⊗ₜ (n₁ + n₂) = m ⊗ₜ n₁ + m ⊗ₜ[R] n₂ :=
Eq.symm <| Quotient.sound' <| AddConGen.Rel.of _ _ <| Eqv.of_add_right _ _ _
#align tensor_product.tmul_add TensorProduct.tmul_add
instance uniqueLeft [Subsingleton M] : Unique (M ⊗[R] N) where
default := 0
uniq z := z.induction_on rfl (fun x y ↦ by rw [Subsingleton.elim x 0, zero_tmul]; rfl) <| by
rintro _ _ rfl rfl; apply add_zero
instance uniqueRight [Subsingleton N] : Unique (M ⊗[R] N) where
default := 0
uniq z := z.induction_on rfl (fun x y ↦ by rw [Subsingleton.elim y 0, tmul_zero]; rfl) <| by
rintro _ _ rfl rfl; apply add_zero
section
variable (R R' M N)
class CompatibleSMul [DistribMulAction R' N] : Prop where
smul_tmul : ∀ (r : R') (m : M) (n : N), (r • m) ⊗ₜ n = m ⊗ₜ[R] (r • n)
#align tensor_product.compatible_smul TensorProduct.CompatibleSMul
end
instance (priority := 100) CompatibleSMul.isScalarTower [SMul R' R] [IsScalarTower R' R M]
[DistribMulAction R' N] [IsScalarTower R' R N] : CompatibleSMul R R' M N :=
⟨fun r m n => by
conv_lhs => rw [← one_smul R m]
conv_rhs => rw [← one_smul R n]
rw [← smul_assoc, ← smul_assoc]
exact Quotient.sound' <| AddConGen.Rel.of _ _ <| Eqv.of_smul _ _ _⟩
#align tensor_product.compatible_smul.is_scalar_tower TensorProduct.CompatibleSMul.isScalarTower
theorem smul_tmul [DistribMulAction R' N] [CompatibleSMul R R' M N] (r : R') (m : M) (n : N) :
(r • m) ⊗ₜ n = m ⊗ₜ[R] (r • n) :=
CompatibleSMul.smul_tmul _ _ _
#align tensor_product.smul_tmul TensorProduct.smul_tmul
-- Porting note: This is added as a local instance for `SMul.aux`.
-- For some reason type-class inference in Lean 3 unfolded this definition.
private def addMonoidWithWrongNSMul : AddMonoid (M ⊗[R] N) :=
{ (addConGen (TensorProduct.Eqv R M N)).addMonoid with }
attribute [local instance] addMonoidWithWrongNSMul in
def SMul.aux {R' : Type*} [SMul R' M] (r : R') : FreeAddMonoid (M × N) →+ M ⊗[R] N :=
FreeAddMonoid.lift fun p : M × N => (r • p.1) ⊗ₜ p.2
#align tensor_product.smul.aux TensorProduct.SMul.aux
theorem SMul.aux_of {R' : Type*} [SMul R' M] (r : R') (m : M) (n : N) :
SMul.aux r (.of (m, n)) = (r • m) ⊗ₜ[R] n :=
rfl
#align tensor_product.smul.aux_of TensorProduct.SMul.aux_of
variable [SMulCommClass R R' M] [SMulCommClass R R'' M]
instance leftHasSMul : SMul R' (M ⊗[R] N) :=
⟨fun r =>
(addConGen (TensorProduct.Eqv R M N)).lift (SMul.aux r : _ →+ M ⊗[R] N) <|
AddCon.addConGen_le fun x y hxy =>
match x, y, hxy with
| _, _, .of_zero_left n =>
(AddCon.ker_rel _).2 <| by simp_rw [map_zero, SMul.aux_of, smul_zero, zero_tmul]
| _, _, .of_zero_right m =>
(AddCon.ker_rel _).2 <| by simp_rw [map_zero, SMul.aux_of, tmul_zero]
| _, _, .of_add_left m₁ m₂ n =>
(AddCon.ker_rel _).2 <| by simp_rw [map_add, SMul.aux_of, smul_add, add_tmul]
| _, _, .of_add_right m n₁ n₂ =>
(AddCon.ker_rel _).2 <| by simp_rw [map_add, SMul.aux_of, tmul_add]
| _, _, .of_smul s m n =>
(AddCon.ker_rel _).2 <| by rw [SMul.aux_of, SMul.aux_of, ← smul_comm, smul_tmul]
| _, _, .add_comm x y =>
(AddCon.ker_rel _).2 <| by simp_rw [map_add, add_comm]⟩
#align tensor_product.left_has_smul TensorProduct.leftHasSMul
instance : SMul R (M ⊗[R] N) :=
TensorProduct.leftHasSMul
protected theorem smul_zero (r : R') : r • (0 : M ⊗[R] N) = 0 :=
AddMonoidHom.map_zero _
#align tensor_product.smul_zero TensorProduct.smul_zero
protected theorem smul_add (r : R') (x y : M ⊗[R] N) : r • (x + y) = r • x + r • y :=
AddMonoidHom.map_add _ _ _
#align tensor_product.smul_add TensorProduct.smul_add
protected theorem zero_smul (x : M ⊗[R] N) : (0 : R'') • x = 0 :=
have : ∀ (r : R'') (m : M) (n : N), r • m ⊗ₜ[R] n = (r • m) ⊗ₜ n := fun _ _ _ => rfl
x.induction_on (by rw [TensorProduct.smul_zero])
(fun m n => by rw [this, zero_smul, zero_tmul]) fun x y ihx ihy => by
rw [TensorProduct.smul_add, ihx, ihy, add_zero]
#align tensor_product.zero_smul TensorProduct.zero_smul
protected theorem one_smul (x : M ⊗[R] N) : (1 : R') • x = x :=
have : ∀ (r : R') (m : M) (n : N), r • m ⊗ₜ[R] n = (r • m) ⊗ₜ n := fun _ _ _ => rfl
x.induction_on (by rw [TensorProduct.smul_zero])
(fun m n => by rw [this, one_smul])
fun x y ihx ihy => by rw [TensorProduct.smul_add, ihx, ihy]
#align tensor_product.one_smul TensorProduct.one_smul
protected theorem add_smul (r s : R'') (x : M ⊗[R] N) : (r + s) • x = r • x + s • x :=
have : ∀ (r : R'') (m : M) (n : N), r • m ⊗ₜ[R] n = (r • m) ⊗ₜ n := fun _ _ _ => rfl
x.induction_on (by simp_rw [TensorProduct.smul_zero, add_zero])
(fun m n => by simp_rw [this, add_smul, add_tmul]) fun x y ihx ihy => by
simp_rw [TensorProduct.smul_add]
rw [ihx, ihy, add_add_add_comm]
#align tensor_product.add_smul TensorProduct.add_smul
instance addMonoid : AddMonoid (M ⊗[R] N) :=
{ TensorProduct.addZeroClass _ _ with
toAddSemigroup := TensorProduct.addSemigroup _ _
toZero := (TensorProduct.addZeroClass _ _).toZero
nsmul := fun n v => n • v
nsmul_zero := by simp [TensorProduct.zero_smul]
nsmul_succ := by simp only [TensorProduct.one_smul, TensorProduct.add_smul, add_comm,
forall_const] }
instance addCommMonoid : AddCommMonoid (M ⊗[R] N) :=
{ TensorProduct.addCommSemigroup _ _ with
toAddMonoid := TensorProduct.addMonoid }
instance leftDistribMulAction : DistribMulAction R' (M ⊗[R] N) :=
have : ∀ (r : R') (m : M) (n : N), r • m ⊗ₜ[R] n = (r • m) ⊗ₜ n := fun _ _ _ => rfl
{ smul_add := fun r x y => TensorProduct.smul_add r x y
mul_smul := fun r s x =>
x.induction_on (by simp_rw [TensorProduct.smul_zero])
(fun m n => by simp_rw [this, mul_smul]) fun x y ihx ihy => by
simp_rw [TensorProduct.smul_add]
rw [ihx, ihy]
one_smul := TensorProduct.one_smul
smul_zero := TensorProduct.smul_zero }
#align tensor_product.left_distrib_mul_action TensorProduct.leftDistribMulAction
instance : DistribMulAction R (M ⊗[R] N) :=
TensorProduct.leftDistribMulAction
theorem smul_tmul' (r : R') (m : M) (n : N) : r • m ⊗ₜ[R] n = (r • m) ⊗ₜ n :=
rfl
#align tensor_product.smul_tmul' TensorProduct.smul_tmul'
@[simp]
theorem tmul_smul [DistribMulAction R' N] [CompatibleSMul R R' M N] (r : R') (x : M) (y : N) :
x ⊗ₜ (r • y) = r • x ⊗ₜ[R] y :=
(smul_tmul _ _ _).symm
#align tensor_product.tmul_smul TensorProduct.tmul_smul
theorem smul_tmul_smul (r s : R) (m : M) (n : N) : (r • m) ⊗ₜ[R] (s • n) = (r * s) • m ⊗ₜ[R] n := by
simp_rw [smul_tmul, tmul_smul, mul_smul]
#align tensor_product.smul_tmul_smul TensorProduct.smul_tmul_smul
instance leftModule : Module R'' (M ⊗[R] N) :=
{ add_smul := TensorProduct.add_smul
zero_smul := TensorProduct.zero_smul }
#align tensor_product.left_module TensorProduct.leftModule
instance : Module R (M ⊗[R] N) :=
TensorProduct.leftModule
instance [Module R''ᵐᵒᵖ M] [IsCentralScalar R'' M] : IsCentralScalar R'' (M ⊗[R] N) where
op_smul_eq_smul r x :=
x.induction_on (by rw [smul_zero, smul_zero])
(fun x y => by rw [smul_tmul', smul_tmul', op_smul_eq_smul]) fun x y hx hy => by
rw [smul_add, smul_add, hx, hy]
section
-- Like `R'`, `R'₂` provides a `DistribMulAction R'₂ (M ⊗[R] N)`
variable {R'₂ : Type*} [Monoid R'₂] [DistribMulAction R'₂ M]
variable [SMulCommClass R R'₂ M]
instance smulCommClass_left [SMulCommClass R' R'₂ M] : SMulCommClass R' R'₂ (M ⊗[R] N) where
smul_comm r' r'₂ x :=
TensorProduct.induction_on x (by simp_rw [TensorProduct.smul_zero])
(fun m n => by simp_rw [smul_tmul', smul_comm]) fun x y ihx ihy => by
simp_rw [TensorProduct.smul_add]; rw [ihx, ihy]
#align tensor_product.smul_comm_class_left TensorProduct.smulCommClass_left
variable [SMul R'₂ R']
instance isScalarTower_left [IsScalarTower R'₂ R' M] : IsScalarTower R'₂ R' (M ⊗[R] N) :=
⟨fun s r x =>
x.induction_on (by simp)
(fun m n => by rw [smul_tmul', smul_tmul', smul_tmul', smul_assoc]) fun x y ihx ihy => by
rw [smul_add, smul_add, smul_add, ihx, ihy]⟩
#align tensor_product.is_scalar_tower_left TensorProduct.isScalarTower_left
variable [DistribMulAction R'₂ N] [DistribMulAction R' N]
variable [CompatibleSMul R R'₂ M N] [CompatibleSMul R R' M N]
instance isScalarTower_right [IsScalarTower R'₂ R' N] : IsScalarTower R'₂ R' (M ⊗[R] N) :=
⟨fun s r x =>
x.induction_on (by simp)
(fun m n => by rw [← tmul_smul, ← tmul_smul, ← tmul_smul, smul_assoc]) fun x y ihx ihy => by
rw [smul_add, smul_add, smul_add, ihx, ihy]⟩
#align tensor_product.is_scalar_tower_right TensorProduct.isScalarTower_right
end
instance isScalarTower [SMul R' R] [IsScalarTower R' R M] : IsScalarTower R' R (M ⊗[R] N) :=
TensorProduct.isScalarTower_left
#align tensor_product.is_scalar_tower TensorProduct.isScalarTower
-- or right
variable (R M N)
def mk : M →ₗ[R] N →ₗ[R] M ⊗[R] N :=
LinearMap.mk₂ R (· ⊗ₜ ·) add_tmul (fun c m n => by simp_rw [smul_tmul, tmul_smul])
tmul_add tmul_smul
#align tensor_product.mk TensorProduct.mk
variable {R M N}
@[simp]
theorem mk_apply (m : M) (n : N) : mk R M N m n = m ⊗ₜ n :=
rfl
#align tensor_product.mk_apply TensorProduct.mk_apply
theorem ite_tmul (x₁ : M) (x₂ : N) (P : Prop) [Decidable P] :
(if P then x₁ else 0) ⊗ₜ[R] x₂ = if P then x₁ ⊗ₜ x₂ else 0 := by split_ifs <;> simp
#align tensor_product.ite_tmul TensorProduct.ite_tmul
theorem tmul_ite (x₁ : M) (x₂ : N) (P : Prop) [Decidable P] :
(x₁ ⊗ₜ[R] if P then x₂ else 0) = if P then x₁ ⊗ₜ x₂ else 0 := by split_ifs <;> simp
#align tensor_product.tmul_ite TensorProduct.tmul_ite
section
theorem sum_tmul {α : Type*} (s : Finset α) (m : α → M) (n : N) :
(∑ a ∈ s, m a) ⊗ₜ[R] n = ∑ a ∈ s, m a ⊗ₜ[R] n := by
classical
induction' s using Finset.induction with a s has ih h
· simp
· simp [Finset.sum_insert has, add_tmul, ih]
#align tensor_product.sum_tmul TensorProduct.sum_tmul
theorem tmul_sum (m : M) {α : Type*} (s : Finset α) (n : α → N) :
(m ⊗ₜ[R] ∑ a ∈ s, n a) = ∑ a ∈ s, m ⊗ₜ[R] n a := by
classical
induction' s using Finset.induction with a s has ih h
· simp
· simp [Finset.sum_insert has, tmul_add, ih]
#align tensor_product.tmul_sum TensorProduct.tmul_sum
end
variable (R M N)
theorem span_tmul_eq_top : Submodule.span R { t : M ⊗[R] N | ∃ m n, m ⊗ₜ n = t } = ⊤ := by
ext t; simp only [Submodule.mem_top, iff_true_iff]
refine t.induction_on ?_ ?_ ?_
· exact Submodule.zero_mem _
· intro m n
apply Submodule.subset_span
use m, n
· intro t₁ t₂ ht₁ ht₂
exact Submodule.add_mem _ ht₁ ht₂
#align tensor_product.span_tmul_eq_top TensorProduct.span_tmul_eq_top
@[simp]
| Mathlib/LinearAlgebra/TensorProduct/Basic.lean | 494 | 496 | theorem map₂_mk_top_top_eq_top : Submodule.map₂ (mk R M N) ⊤ ⊤ = ⊤ := by |
rw [← top_le_iff, ← span_tmul_eq_top, Submodule.map₂_eq_span_image2]
exact Submodule.span_mono fun _ ⟨m, n, h⟩ => ⟨m, trivial, n, trivial, h⟩
|
import Mathlib.Algebra.MonoidAlgebra.Division
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Algebra.Polynomial.Induction
import Mathlib.Algebra.Polynomial.EraseLead
import Mathlib.Order.Interval.Finset.Nat
#align_import data.polynomial.inductions from "leanprover-community/mathlib"@"57e09a1296bfb4330ddf6624f1028ba186117d82"
noncomputable section
open Polynomial
open Finset
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {a b : R} {n : ℕ}
section Semiring
variable [Semiring R] {p q : R[X]}
def divX (p : R[X]) : R[X] :=
⟨AddMonoidAlgebra.divOf p.toFinsupp 1⟩
set_option linter.uppercaseLean3 false in
#align polynomial.div_X Polynomial.divX
@[simp]
theorem coeff_divX : (divX p).coeff n = p.coeff (n + 1) := by
rw [add_comm]; cases p; rfl
set_option linter.uppercaseLean3 false in
#align polynomial.coeff_div_X Polynomial.coeff_divX
theorem divX_mul_X_add (p : R[X]) : divX p * X + C (p.coeff 0) = p :=
ext <| by rintro ⟨_ | _⟩ <;> simp [coeff_C, Nat.succ_ne_zero, coeff_mul_X]
set_option linter.uppercaseLean3 false in
#align polynomial.div_X_mul_X_add Polynomial.divX_mul_X_add
@[simp]
theorem X_mul_divX_add (p : R[X]) : X * divX p + C (p.coeff 0) = p :=
ext <| by rintro ⟨_ | _⟩ <;> simp [coeff_C, Nat.succ_ne_zero, coeff_mul_X]
@[simp]
theorem divX_C (a : R) : divX (C a) = 0 :=
ext fun n => by simp [coeff_divX, coeff_C, Finsupp.single_eq_of_ne _]
set_option linter.uppercaseLean3 false in
#align polynomial.div_X_C Polynomial.divX_C
theorem divX_eq_zero_iff : divX p = 0 ↔ p = C (p.coeff 0) :=
⟨fun h => by simpa [eq_comm, h] using divX_mul_X_add p, fun h => by rw [h, divX_C]⟩
set_option linter.uppercaseLean3 false in
#align polynomial.div_X_eq_zero_iff Polynomial.divX_eq_zero_iff
theorem divX_add : divX (p + q) = divX p + divX q :=
ext <| by simp
set_option linter.uppercaseLean3 false in
#align polynomial.div_X_add Polynomial.divX_add
@[simp]
theorem divX_zero : divX (0 : R[X]) = 0 := leadingCoeff_eq_zero.mp rfl
@[simp]
theorem divX_one : divX (1 : R[X]) = 0 := by
ext
simpa only [coeff_divX, coeff_zero] using coeff_one
@[simp]
theorem divX_C_mul : divX (C a * p) = C a * divX p := by
ext
simp
theorem divX_X_pow : divX (X ^ n : R[X]) = if (n = 0) then 0 else X ^ (n - 1) := by
cases n
· simp
· ext n
simp [coeff_X_pow]
noncomputable
def divX_hom : R[X] →+ R[X] :=
{ toFun := divX
map_zero' := divX_zero
map_add' := fun _ _ => divX_add }
@[simp] theorem divX_hom_toFun : divX_hom p = divX p := rfl
theorem natDegree_divX_eq_natDegree_tsub_one : p.divX.natDegree = p.natDegree - 1 := by
apply map_natDegree_eq_sub (φ := divX_hom)
· intro f
simpa [divX_hom, divX_eq_zero_iff] using eq_C_of_natDegree_eq_zero
· intros n c c0
rw [← C_mul_X_pow_eq_monomial, divX_hom_toFun, divX_C_mul, divX_X_pow]
split_ifs with n0
· simp [n0]
· exact natDegree_C_mul_X_pow (n - 1) c c0
theorem natDegree_divX_le : p.divX.natDegree ≤ p.natDegree :=
natDegree_divX_eq_natDegree_tsub_one.trans_le (Nat.pred_le _)
theorem divX_C_mul_X_pow : divX (C a * X ^ n) = if n = 0 then 0 else C a * X ^ (n - 1) := by
simp only [divX_C_mul, divX_X_pow, mul_ite, mul_zero]
| Mathlib/Algebra/Polynomial/Inductions.lean | 119 | 143 | theorem degree_divX_lt (hp0 : p ≠ 0) : (divX p).degree < p.degree := by |
haveI := Nontrivial.of_polynomial_ne hp0
calc
degree (divX p) < (divX p * X + C (p.coeff 0)).degree :=
if h : degree p ≤ 0 then by
have h' : C (p.coeff 0) ≠ 0 := by rwa [← eq_C_of_degree_le_zero h]
rw [eq_C_of_degree_le_zero h, divX_C, degree_zero, zero_mul, zero_add]
exact lt_of_le_of_ne bot_le (Ne.symm (mt degree_eq_bot.1 <| by simpa using h'))
else by
have hXp0 : divX p ≠ 0 := by
simpa [divX_eq_zero_iff, -not_le, degree_le_zero_iff] using h
have : leadingCoeff (divX p) * leadingCoeff X ≠ 0 := by simpa
have : degree (C (p.coeff 0)) < degree (divX p * X) :=
calc
degree (C (p.coeff 0)) ≤ 0 := degree_C_le
_ < 1 := by decide
_ = degree (X : R[X]) := degree_X.symm
_ ≤ degree (divX p * X) := by
rw [← zero_add (degree X), degree_mul' this]
exact add_le_add
(by rw [zero_le_degree_iff, Ne, divX_eq_zero_iff]
exact fun h0 => h (h0.symm ▸ degree_C_le))
le_rfl
rw [degree_add_eq_left_of_degree_lt this]; exact degree_lt_degree_mul_X hXp0
_ = degree p := congr_arg _ (divX_mul_X_add _)
|
import Mathlib.Algebra.Homology.Linear
import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex
import Mathlib.Tactic.Abel
#align_import algebra.homology.homotopy from "leanprover-community/mathlib"@"618ea3d5c99240cd7000d8376924906a148bf9ff"
universe v u
open scoped Classical
noncomputable section
open CategoryTheory Category Limits HomologicalComplex
variable {ι : Type*}
variable {V : Type u} [Category.{v} V] [Preadditive V]
variable {c : ComplexShape ι} {C D E : HomologicalComplex V c}
variable (f g : C ⟶ D) (h k : D ⟶ E) (i : ι)
section
def dNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X i ⟶ D.X i) :=
AddMonoidHom.mk' (fun f => C.d i (c.next i) ≫ f (c.next i) i) fun _ _ =>
Preadditive.comp_add _ _ _ _ _ _
#align d_next dNext
def fromNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.xNext i ⟶ D.X i) :=
AddMonoidHom.mk' (fun f => f (c.next i) i) fun _ _ => rfl
#align from_next fromNext
@[simp]
theorem dNext_eq_dFrom_fromNext (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) :
dNext i f = C.dFrom i ≫ fromNext i f :=
rfl
#align d_next_eq_d_from_from_next dNext_eq_dFrom_fromNext
theorem dNext_eq (f : ∀ i j, C.X i ⟶ D.X j) {i i' : ι} (w : c.Rel i i') :
dNext i f = C.d i i' ≫ f i' i := by
obtain rfl := c.next_eq' w
rfl
#align d_next_eq dNext_eq
lemma dNext_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel i (c.next i)) :
dNext i f = 0 := by
dsimp [dNext]
rw [shape _ _ _ hi, zero_comp]
@[simp 1100]
theorem dNext_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (i : ι) :
(dNext i fun i j => f.f i ≫ g i j) = f.f i ≫ dNext i g :=
(f.comm_assoc _ _ _).symm
#align d_next_comp_left dNext_comp_left
@[simp 1100]
theorem dNext_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (i : ι) :
(dNext i fun i j => f i j ≫ g.f j) = dNext i f ≫ g.f i :=
(assoc _ _ _).symm
#align d_next_comp_right dNext_comp_right
def prevD (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.X j) :=
AddMonoidHom.mk' (fun f => f j (c.prev j) ≫ D.d (c.prev j) j) fun _ _ =>
Preadditive.add_comp _ _ _ _ _ _
#align prev_d prevD
lemma prevD_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel (c.prev i) i) :
prevD i f = 0 := by
dsimp [prevD]
rw [shape _ _ _ hi, comp_zero]
def toPrev (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.xPrev j) :=
AddMonoidHom.mk' (fun f => f j (c.prev j)) fun _ _ => rfl
#align to_prev toPrev
@[simp]
theorem prevD_eq_toPrev_dTo (f : ∀ i j, C.X i ⟶ D.X j) (j : ι) :
prevD j f = toPrev j f ≫ D.dTo j :=
rfl
#align prev_d_eq_to_prev_d_to prevD_eq_toPrev_dTo
theorem prevD_eq (f : ∀ i j, C.X i ⟶ D.X j) {j j' : ι} (w : c.Rel j' j) :
prevD j f = f j j' ≫ D.d j' j := by
obtain rfl := c.prev_eq' w
rfl
#align prev_d_eq prevD_eq
@[simp 1100]
theorem prevD_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (j : ι) :
(prevD j fun i j => f.f i ≫ g i j) = f.f j ≫ prevD j g :=
assoc _ _ _
#align prev_d_comp_left prevD_comp_left
@[simp 1100]
theorem prevD_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (j : ι) :
(prevD j fun i j => f i j ≫ g.f j) = prevD j f ≫ g.f j := by
dsimp [prevD]
simp only [assoc, g.comm]
#align prev_d_comp_right prevD_comp_right
theorem dNext_nat (C D : ChainComplex V ℕ) (i : ℕ) (f : ∀ i j, C.X i ⟶ D.X j) :
dNext i f = C.d i (i - 1) ≫ f (i - 1) i := by
dsimp [dNext]
cases i
· simp only [shape, ChainComplex.next_nat_zero, ComplexShape.down_Rel, Nat.one_ne_zero,
not_false_iff, zero_comp]
· congr <;> simp
#align d_next_nat dNext_nat
theorem prevD_nat (C D : CochainComplex V ℕ) (i : ℕ) (f : ∀ i j, C.X i ⟶ D.X j) :
prevD i f = f i (i - 1) ≫ D.d (i - 1) i := by
dsimp [prevD]
cases i
· simp only [shape, CochainComplex.prev_nat_zero, ComplexShape.up_Rel, Nat.one_ne_zero,
not_false_iff, comp_zero]
· congr <;> simp
#align prev_d_nat prevD_nat
-- Porting note(#5171): removed @[has_nonempty_instance]
@[ext]
structure Homotopy (f g : C ⟶ D) where
hom : ∀ i j, C.X i ⟶ D.X j
zero : ∀ i j, ¬c.Rel j i → hom i j = 0 := by aesop_cat
comm : ∀ i, f.f i = dNext i hom + prevD i hom + g.f i := by aesop_cat
#align homotopy Homotopy
variable {f g}
namespace Homotopy
def equivSubZero : Homotopy f g ≃ Homotopy (f - g) 0 where
toFun h :=
{ hom := fun i j => h.hom i j
zero := fun i j w => h.zero _ _ w
comm := fun i => by simp [h.comm] }
invFun h :=
{ hom := fun i j => h.hom i j
zero := fun i j w => h.zero _ _ w
comm := fun i => by simpa [sub_eq_iff_eq_add] using h.comm i }
left_inv := by aesop_cat
right_inv := by aesop_cat
#align homotopy.equiv_sub_zero Homotopy.equivSubZero
@[simps]
def ofEq (h : f = g) : Homotopy f g where
hom := 0
zero _ _ _ := rfl
#align homotopy.of_eq Homotopy.ofEq
@[simps!, refl]
def refl (f : C ⟶ D) : Homotopy f f :=
ofEq (rfl : f = f)
#align homotopy.refl Homotopy.refl
@[simps!, symm]
def symm {f g : C ⟶ D} (h : Homotopy f g) : Homotopy g f where
hom := -h.hom
zero i j w := by rw [Pi.neg_apply, Pi.neg_apply, h.zero i j w, neg_zero]
comm i := by
rw [AddMonoidHom.map_neg, AddMonoidHom.map_neg, h.comm, ← neg_add, ← add_assoc, neg_add_self,
zero_add]
#align homotopy.symm Homotopy.symm
@[simps!, trans]
def trans {e f g : C ⟶ D} (h : Homotopy e f) (k : Homotopy f g) : Homotopy e g where
hom := h.hom + k.hom
zero i j w := by rw [Pi.add_apply, Pi.add_apply, h.zero i j w, k.zero i j w, zero_add]
comm i := by
rw [AddMonoidHom.map_add, AddMonoidHom.map_add, h.comm, k.comm]
abel
#align homotopy.trans Homotopy.trans
@[simps!]
def add {f₁ g₁ f₂ g₂ : C ⟶ D} (h₁ : Homotopy f₁ g₁) (h₂ : Homotopy f₂ g₂) :
Homotopy (f₁ + f₂) (g₁ + g₂) where
hom := h₁.hom + h₂.hom
zero i j hij := by rw [Pi.add_apply, Pi.add_apply, h₁.zero i j hij, h₂.zero i j hij, add_zero]
comm i := by
simp only [HomologicalComplex.add_f_apply, h₁.comm, h₂.comm, AddMonoidHom.map_add]
abel
#align homotopy.add Homotopy.add
@[simps!]
def smul {R : Type*} [Semiring R] [Linear R V] (h : Homotopy f g) (a : R) :
Homotopy (a • f) (a • g) where
hom i j := a • h.hom i j
zero i j hij := by
dsimp
rw [h.zero i j hij, smul_zero]
comm i := by
dsimp
rw [h.comm]
dsimp [fromNext, toPrev]
simp only [smul_add, Linear.comp_smul, Linear.smul_comp]
@[simps]
def compRight {e f : C ⟶ D} (h : Homotopy e f) (g : D ⟶ E) : Homotopy (e ≫ g) (f ≫ g) where
hom i j := h.hom i j ≫ g.f j
zero i j w := by dsimp; rw [h.zero i j w, zero_comp]
comm i := by rw [comp_f, h.comm i, dNext_comp_right, prevD_comp_right, Preadditive.add_comp,
comp_f, Preadditive.add_comp]
#align homotopy.comp_right Homotopy.compRight
@[simps]
def compLeft {f g : D ⟶ E} (h : Homotopy f g) (e : C ⟶ D) : Homotopy (e ≫ f) (e ≫ g) where
hom i j := e.f i ≫ h.hom i j
zero i j w := by dsimp; rw [h.zero i j w, comp_zero]
comm i := by rw [comp_f, h.comm i, dNext_comp_left, prevD_comp_left, comp_f,
Preadditive.comp_add, Preadditive.comp_add]
#align homotopy.comp_left Homotopy.compLeft
@[simps!]
def comp {C₁ C₂ C₃ : HomologicalComplex V c} {f₁ g₁ : C₁ ⟶ C₂} {f₂ g₂ : C₂ ⟶ C₃}
(h₁ : Homotopy f₁ g₁) (h₂ : Homotopy f₂ g₂) : Homotopy (f₁ ≫ f₂) (g₁ ≫ g₂) :=
(h₁.compRight _).trans (h₂.compLeft _)
#align homotopy.comp Homotopy.comp
@[simps!]
def compRightId {f : C ⟶ C} (h : Homotopy f (𝟙 C)) (g : C ⟶ D) : Homotopy (f ≫ g) g :=
(h.compRight g).trans (ofEq <| id_comp _)
#align homotopy.comp_right_id Homotopy.compRightId
@[simps!]
def compLeftId {f : D ⟶ D} (h : Homotopy f (𝟙 D)) (g : C ⟶ D) : Homotopy (g ≫ f) g :=
(h.compLeft g).trans (ofEq <| comp_id _)
#align homotopy.comp_left_id Homotopy.compLeftId
def nullHomotopicMap (hom : ∀ i j, C.X i ⟶ D.X j) : C ⟶ D where
f i := dNext i hom + prevD i hom
comm' i j hij := by
have eq1 : prevD i hom ≫ D.d i j = 0 := by
simp only [prevD, AddMonoidHom.mk'_apply, assoc, d_comp_d, comp_zero]
have eq2 : C.d i j ≫ dNext j hom = 0 := by
simp only [dNext, AddMonoidHom.mk'_apply, d_comp_d_assoc, zero_comp]
dsimp only
rw [dNext_eq hom hij, prevD_eq hom hij, Preadditive.comp_add, Preadditive.add_comp, eq1, eq2,
add_zero, zero_add, assoc]
#align homotopy.null_homotopic_map Homotopy.nullHomotopicMap
def nullHomotopicMap' (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : C ⟶ D :=
nullHomotopicMap fun i j => dite (c.Rel j i) (h i j) fun _ => 0
#align homotopy.null_homotopic_map' Homotopy.nullHomotopicMap'
theorem nullHomotopicMap_comp (hom : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) :
nullHomotopicMap hom ≫ g = nullHomotopicMap fun i j => hom i j ≫ g.f j := by
ext n
dsimp [nullHomotopicMap, fromNext, toPrev, AddMonoidHom.mk'_apply]
simp only [Preadditive.add_comp, assoc, g.comm]
#align homotopy.null_homotopic_map_comp Homotopy.nullHomotopicMap_comp
theorem nullHomotopicMap'_comp (hom : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) (g : D ⟶ E) :
nullHomotopicMap' hom ≫ g = nullHomotopicMap' fun i j hij => hom i j hij ≫ g.f j := by
ext n
erw [nullHomotopicMap_comp]
congr
ext i j
split_ifs
· rfl
· rw [zero_comp]
#align homotopy.null_homotopic_map'_comp Homotopy.nullHomotopicMap'_comp
theorem comp_nullHomotopicMap (f : C ⟶ D) (hom : ∀ i j, D.X i ⟶ E.X j) :
f ≫ nullHomotopicMap hom = nullHomotopicMap fun i j => f.f i ≫ hom i j := by
ext n
dsimp [nullHomotopicMap, fromNext, toPrev, AddMonoidHom.mk'_apply]
simp only [Preadditive.comp_add, assoc, f.comm_assoc]
#align homotopy.comp_null_homotopic_map Homotopy.comp_nullHomotopicMap
theorem comp_nullHomotopicMap' (f : C ⟶ D) (hom : ∀ i j, c.Rel j i → (D.X i ⟶ E.X j)) :
f ≫ nullHomotopicMap' hom = nullHomotopicMap' fun i j hij => f.f i ≫ hom i j hij := by
ext n
erw [comp_nullHomotopicMap]
congr
ext i j
split_ifs
· rfl
· rw [comp_zero]
#align homotopy.comp_null_homotopic_map' Homotopy.comp_nullHomotopicMap'
theorem map_nullHomotopicMap {W : Type*} [Category W] [Preadditive W] (G : V ⥤ W) [G.Additive]
(hom : ∀ i j, C.X i ⟶ D.X j) :
(G.mapHomologicalComplex c).map (nullHomotopicMap hom) =
nullHomotopicMap (fun i j => by exact G.map (hom i j)) := by
ext i
dsimp [nullHomotopicMap, dNext, prevD]
simp only [G.map_comp, Functor.map_add]
#align homotopy.map_null_homotopic_map Homotopy.map_nullHomotopicMap
theorem map_nullHomotopicMap' {W : Type*} [Category W] [Preadditive W] (G : V ⥤ W) [G.Additive]
(hom : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) :
(G.mapHomologicalComplex c).map (nullHomotopicMap' hom) =
nullHomotopicMap' fun i j hij => by exact G.map (hom i j hij) := by
ext n
erw [map_nullHomotopicMap]
congr
ext i j
split_ifs
· rfl
· rw [G.map_zero]
#align homotopy.map_null_homotopic_map' Homotopy.map_nullHomotopicMap'
@[simps]
def nullHomotopy (hom : ∀ i j, C.X i ⟶ D.X j) (zero : ∀ i j, ¬c.Rel j i → hom i j = 0) :
Homotopy (nullHomotopicMap hom) 0 :=
{ hom := hom
zero := zero
comm := by
intro i
rw [HomologicalComplex.zero_f_apply, add_zero]
rfl }
#align homotopy.null_homotopy Homotopy.nullHomotopy
@[simps!]
def nullHomotopy' (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : Homotopy (nullHomotopicMap' h) 0 := by
apply nullHomotopy fun i j => dite (c.Rel j i) (h i j) fun _ => 0
intro i j hij
rw [dite_eq_right_iff]
intro hij'
exfalso
exact hij hij'
#align homotopy.null_homotopy' Homotopy.nullHomotopy'
@[simp]
theorem nullHomotopicMap_f {k₂ k₁ k₀ : ι} (r₂₁ : c.Rel k₂ k₁) (r₁₀ : c.Rel k₁ k₀)
(hom : ∀ i j, C.X i ⟶ D.X j) :
(nullHomotopicMap hom).f k₁ = C.d k₁ k₀ ≫ hom k₀ k₁ + hom k₁ k₂ ≫ D.d k₂ k₁ := by
dsimp only [nullHomotopicMap]
rw [dNext_eq hom r₁₀, prevD_eq hom r₂₁]
#align homotopy.null_homotopic_map_f Homotopy.nullHomotopicMap_f
@[simp]
theorem nullHomotopicMap'_f {k₂ k₁ k₀ : ι} (r₂₁ : c.Rel k₂ k₁) (r₁₀ : c.Rel k₁ k₀)
(h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) :
(nullHomotopicMap' h).f k₁ = C.d k₁ k₀ ≫ h k₀ k₁ r₁₀ + h k₁ k₂ r₂₁ ≫ D.d k₂ k₁ := by
simp only [nullHomotopicMap']
rw [nullHomotopicMap_f r₂₁ r₁₀]
split_ifs
rfl
#align homotopy.null_homotopic_map'_f Homotopy.nullHomotopicMap'_f
@[simp]
theorem nullHomotopicMap_f_of_not_rel_left {k₁ k₀ : ι} (r₁₀ : c.Rel k₁ k₀)
(hk₀ : ∀ l : ι, ¬c.Rel k₀ l) (hom : ∀ i j, C.X i ⟶ D.X j) :
(nullHomotopicMap hom).f k₀ = hom k₀ k₁ ≫ D.d k₁ k₀ := by
dsimp only [nullHomotopicMap]
rw [prevD_eq hom r₁₀, dNext, AddMonoidHom.mk'_apply, C.shape, zero_comp, zero_add]
exact hk₀ _
#align homotopy.null_homotopic_map_f_of_not_rel_left Homotopy.nullHomotopicMap_f_of_not_rel_left
@[simp]
theorem nullHomotopicMap'_f_of_not_rel_left {k₁ k₀ : ι} (r₁₀ : c.Rel k₁ k₀)
(hk₀ : ∀ l : ι, ¬c.Rel k₀ l) (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) :
(nullHomotopicMap' h).f k₀ = h k₀ k₁ r₁₀ ≫ D.d k₁ k₀ := by
simp only [nullHomotopicMap']
rw [nullHomotopicMap_f_of_not_rel_left r₁₀ hk₀]
split_ifs
rfl
#align homotopy.null_homotopic_map'_f_of_not_rel_left Homotopy.nullHomotopicMap'_f_of_not_rel_left
@[simp]
theorem nullHomotopicMap_f_of_not_rel_right {k₁ k₀ : ι} (r₁₀ : c.Rel k₁ k₀)
(hk₁ : ∀ l : ι, ¬c.Rel l k₁) (hom : ∀ i j, C.X i ⟶ D.X j) :
(nullHomotopicMap hom).f k₁ = C.d k₁ k₀ ≫ hom k₀ k₁ := by
dsimp only [nullHomotopicMap]
rw [dNext_eq hom r₁₀, prevD, AddMonoidHom.mk'_apply, D.shape, comp_zero, add_zero]
exact hk₁ _
#align homotopy.null_homotopic_map_f_of_not_rel_right Homotopy.nullHomotopicMap_f_of_not_rel_right
@[simp]
theorem nullHomotopicMap'_f_of_not_rel_right {k₁ k₀ : ι} (r₁₀ : c.Rel k₁ k₀)
(hk₁ : ∀ l : ι, ¬c.Rel l k₁) (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) :
(nullHomotopicMap' h).f k₁ = C.d k₁ k₀ ≫ h k₀ k₁ r₁₀ := by
simp only [nullHomotopicMap']
rw [nullHomotopicMap_f_of_not_rel_right r₁₀ hk₁]
split_ifs
rfl
#align homotopy.null_homotopic_map'_f_of_not_rel_right Homotopy.nullHomotopicMap'_f_of_not_rel_right
@[simp]
theorem nullHomotopicMap_f_eq_zero {k₀ : ι} (hk₀ : ∀ l : ι, ¬c.Rel k₀ l)
(hk₀' : ∀ l : ι, ¬c.Rel l k₀) (hom : ∀ i j, C.X i ⟶ D.X j) :
(nullHomotopicMap hom).f k₀ = 0 := by
dsimp [nullHomotopicMap, dNext, prevD]
rw [C.shape, D.shape, zero_comp, comp_zero, add_zero] <;> apply_assumption
#align homotopy.null_homotopic_map_f_eq_zero Homotopy.nullHomotopicMap_f_eq_zero
@[simp]
theorem nullHomotopicMap'_f_eq_zero {k₀ : ι} (hk₀ : ∀ l : ι, ¬c.Rel k₀ l)
(hk₀' : ∀ l : ι, ¬c.Rel l k₀) (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) :
(nullHomotopicMap' h).f k₀ = 0 := by
simp only [nullHomotopicMap']
apply nullHomotopicMap_f_eq_zero hk₀ hk₀'
#align homotopy.null_homotopic_map'_f_eq_zero Homotopy.nullHomotopicMap'_f_eq_zero
section MkInductive
variable {P Q : ChainComplex V ℕ}
@[simp 1100]
theorem prevD_chainComplex (f : ∀ i j, P.X i ⟶ Q.X j) (j : ℕ) :
prevD j f = f j (j + 1) ≫ Q.d _ _ := by
dsimp [prevD]
have : (ComplexShape.down ℕ).prev j = j + 1 := ChainComplex.prev ℕ j
congr 2
#align homotopy.prev_d_chain_complex Homotopy.prevD_chainComplex
@[simp 1100]
theorem dNext_succ_chainComplex (f : ∀ i j, P.X i ⟶ Q.X j) (i : ℕ) :
dNext (i + 1) f = P.d _ _ ≫ f i (i + 1) := by
dsimp [dNext]
have : (ComplexShape.down ℕ).next (i + 1) = i := ChainComplex.next_nat_succ _
congr 2
#align homotopy.d_next_succ_chain_complex Homotopy.dNext_succ_chainComplex
@[simp 1100]
| Mathlib/Algebra/Homology/Homotopy.lean | 493 | 496 | theorem dNext_zero_chainComplex (f : ∀ i j, P.X i ⟶ Q.X j) : dNext 0 f = 0 := by |
dsimp [dNext]
rw [P.shape, zero_comp]
rw [ChainComplex.next_nat_zero]; dsimp; decide
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Data.Set.Finite
#align_import order.filter.basic from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
set_option autoImplicit true
open Function Set Order
open scoped Classical
universe u v w x y
structure Filter (α : Type*) where
sets : Set (Set α)
univ_sets : Set.univ ∈ sets
sets_of_superset {x y} : x ∈ sets → x ⊆ y → y ∈ sets
inter_sets {x y} : x ∈ sets → y ∈ sets → x ∩ y ∈ sets
#align filter Filter
instance {α : Type*} : Membership (Set α) (Filter α) :=
⟨fun U F => U ∈ F.sets⟩
namespace Filter
variable {α : Type u} {β : Type v} {γ : Type w} {δ : Type*} {ι : Sort x}
open Filter
section Lattice
variable {f g : Filter α} {s t : Set α}
instance : PartialOrder (Filter α) where
le f g := ∀ ⦃U : Set α⦄, U ∈ g → U ∈ f
le_antisymm a b h₁ h₂ := filter_eq <| Subset.antisymm h₂ h₁
le_refl a := Subset.rfl
le_trans a b c h₁ h₂ := Subset.trans h₂ h₁
theorem le_def : f ≤ g ↔ ∀ x ∈ g, x ∈ f :=
Iff.rfl
#align filter.le_def Filter.le_def
protected theorem not_le : ¬f ≤ g ↔ ∃ s ∈ g, s ∉ f := by simp_rw [le_def, not_forall, exists_prop]
#align filter.not_le Filter.not_le
inductive GenerateSets (g : Set (Set α)) : Set α → Prop
| basic {s : Set α} : s ∈ g → GenerateSets g s
| univ : GenerateSets g univ
| superset {s t : Set α} : GenerateSets g s → s ⊆ t → GenerateSets g t
| inter {s t : Set α} : GenerateSets g s → GenerateSets g t → GenerateSets g (s ∩ t)
#align filter.generate_sets Filter.GenerateSets
def generate (g : Set (Set α)) : Filter α where
sets := {s | GenerateSets g s}
univ_sets := GenerateSets.univ
sets_of_superset := GenerateSets.superset
inter_sets := GenerateSets.inter
#align filter.generate Filter.generate
lemma mem_generate_of_mem {s : Set <| Set α} {U : Set α} (h : U ∈ s) :
U ∈ generate s := GenerateSets.basic h
theorem le_generate_iff {s : Set (Set α)} {f : Filter α} : f ≤ generate s ↔ s ⊆ f.sets :=
Iff.intro (fun h _ hu => h <| GenerateSets.basic <| hu) fun h _ hu =>
hu.recOn (fun h' => h h') univ_mem (fun _ hxy hx => mem_of_superset hx hxy) fun _ _ hx hy =>
inter_mem hx hy
#align filter.sets_iff_generate Filter.le_generate_iff
theorem mem_generate_iff {s : Set <| Set α} {U : Set α} :
U ∈ generate s ↔ ∃ t ⊆ s, Set.Finite t ∧ ⋂₀ t ⊆ U := by
constructor <;> intro h
· induction h with
| @basic V V_in =>
exact ⟨{V}, singleton_subset_iff.2 V_in, finite_singleton _, (sInter_singleton _).subset⟩
| univ => exact ⟨∅, empty_subset _, finite_empty, subset_univ _⟩
| superset _ hVW hV =>
rcases hV with ⟨t, hts, ht, htV⟩
exact ⟨t, hts, ht, htV.trans hVW⟩
| inter _ _ hV hW =>
rcases hV, hW with ⟨⟨t, hts, ht, htV⟩, u, hus, hu, huW⟩
exact
⟨t ∪ u, union_subset hts hus, ht.union hu,
(sInter_union _ _).subset.trans <| inter_subset_inter htV huW⟩
· rcases h with ⟨t, hts, tfin, h⟩
exact mem_of_superset ((sInter_mem tfin).2 fun V hV => GenerateSets.basic <| hts hV) h
#align filter.mem_generate_iff Filter.mem_generate_iff
@[simp] lemma generate_singleton (s : Set α) : generate {s} = 𝓟 s :=
le_antisymm (fun _t ht ↦ mem_of_superset (mem_generate_of_mem <| mem_singleton _) ht) <|
le_generate_iff.2 <| singleton_subset_iff.2 Subset.rfl
protected def mkOfClosure (s : Set (Set α)) (hs : (generate s).sets = s) : Filter α where
sets := s
univ_sets := hs ▸ univ_mem
sets_of_superset := hs ▸ mem_of_superset
inter_sets := hs ▸ inter_mem
#align filter.mk_of_closure Filter.mkOfClosure
theorem mkOfClosure_sets {s : Set (Set α)} {hs : (generate s).sets = s} :
Filter.mkOfClosure s hs = generate s :=
Filter.ext fun u =>
show u ∈ (Filter.mkOfClosure s hs).sets ↔ u ∈ (generate s).sets from hs.symm ▸ Iff.rfl
#align filter.mk_of_closure_sets Filter.mkOfClosure_sets
def giGenerate (α : Type*) :
@GaloisInsertion (Set (Set α)) (Filter α)ᵒᵈ _ _ Filter.generate Filter.sets where
gc _ _ := le_generate_iff
le_l_u _ _ h := GenerateSets.basic h
choice s hs := Filter.mkOfClosure s (le_antisymm hs <| le_generate_iff.1 <| le_rfl)
choice_eq _ _ := mkOfClosure_sets
#align filter.gi_generate Filter.giGenerate
instance : Inf (Filter α) :=
⟨fun f g : Filter α =>
{ sets := { s | ∃ a ∈ f, ∃ b ∈ g, s = a ∩ b }
univ_sets := ⟨_, univ_mem, _, univ_mem, by simp⟩
sets_of_superset := by
rintro x y ⟨a, ha, b, hb, rfl⟩ xy
refine
⟨a ∪ y, mem_of_superset ha subset_union_left, b ∪ y,
mem_of_superset hb subset_union_left, ?_⟩
rw [← inter_union_distrib_right, union_eq_self_of_subset_left xy]
inter_sets := by
rintro x y ⟨a, ha, b, hb, rfl⟩ ⟨c, hc, d, hd, rfl⟩
refine ⟨a ∩ c, inter_mem ha hc, b ∩ d, inter_mem hb hd, ?_⟩
ac_rfl }⟩
theorem mem_inf_iff {f g : Filter α} {s : Set α} : s ∈ f ⊓ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, s = t₁ ∩ t₂ :=
Iff.rfl
#align filter.mem_inf_iff Filter.mem_inf_iff
theorem mem_inf_of_left {f g : Filter α} {s : Set α} (h : s ∈ f) : s ∈ f ⊓ g :=
⟨s, h, univ, univ_mem, (inter_univ s).symm⟩
#align filter.mem_inf_of_left Filter.mem_inf_of_left
theorem mem_inf_of_right {f g : Filter α} {s : Set α} (h : s ∈ g) : s ∈ f ⊓ g :=
⟨univ, univ_mem, s, h, (univ_inter s).symm⟩
#align filter.mem_inf_of_right Filter.mem_inf_of_right
theorem inter_mem_inf {α : Type u} {f g : Filter α} {s t : Set α} (hs : s ∈ f) (ht : t ∈ g) :
s ∩ t ∈ f ⊓ g :=
⟨s, hs, t, ht, rfl⟩
#align filter.inter_mem_inf Filter.inter_mem_inf
theorem mem_inf_of_inter {f g : Filter α} {s t u : Set α} (hs : s ∈ f) (ht : t ∈ g)
(h : s ∩ t ⊆ u) : u ∈ f ⊓ g :=
mem_of_superset (inter_mem_inf hs ht) h
#align filter.mem_inf_of_inter Filter.mem_inf_of_inter
theorem mem_inf_iff_superset {f g : Filter α} {s : Set α} :
s ∈ f ⊓ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ∩ t₂ ⊆ s :=
⟨fun ⟨t₁, h₁, t₂, h₂, Eq⟩ => ⟨t₁, h₁, t₂, h₂, Eq ▸ Subset.rfl⟩, fun ⟨_, h₁, _, h₂, sub⟩ =>
mem_inf_of_inter h₁ h₂ sub⟩
#align filter.mem_inf_iff_superset Filter.mem_inf_iff_superset
instance : Top (Filter α) :=
⟨{ sets := { s | ∀ x, x ∈ s }
univ_sets := fun x => mem_univ x
sets_of_superset := fun hx hxy a => hxy (hx a)
inter_sets := fun hx hy _ => mem_inter (hx _) (hy _) }⟩
theorem mem_top_iff_forall {s : Set α} : s ∈ (⊤ : Filter α) ↔ ∀ x, x ∈ s :=
Iff.rfl
#align filter.mem_top_iff_forall Filter.mem_top_iff_forall
@[simp]
theorem mem_top {s : Set α} : s ∈ (⊤ : Filter α) ↔ s = univ := by
rw [mem_top_iff_forall, eq_univ_iff_forall]
#align filter.mem_top Filter.mem_top
@[mono, gcongr]
theorem join_mono {f₁ f₂ : Filter (Filter α)} (h : f₁ ≤ f₂) : join f₁ ≤ join f₂ := fun _ hs => h hs
#align filter.join_mono Filter.join_mono
protected def Eventually (p : α → Prop) (f : Filter α) : Prop :=
{ x | p x } ∈ f
#align filter.eventually Filter.Eventually
@[inherit_doc Filter.Eventually]
notation3 "∀ᶠ "(...)" in "f", "r:(scoped p => Filter.Eventually p f) => r
theorem eventually_iff {f : Filter α} {P : α → Prop} : (∀ᶠ x in f, P x) ↔ { x | P x } ∈ f :=
Iff.rfl
#align filter.eventually_iff Filter.eventually_iff
@[simp]
theorem eventually_mem_set {s : Set α} {l : Filter α} : (∀ᶠ x in l, x ∈ s) ↔ s ∈ l :=
Iff.rfl
#align filter.eventually_mem_set Filter.eventually_mem_set
protected theorem ext' {f₁ f₂ : Filter α}
(h : ∀ p : α → Prop, (∀ᶠ x in f₁, p x) ↔ ∀ᶠ x in f₂, p x) : f₁ = f₂ :=
Filter.ext h
#align filter.ext' Filter.ext'
theorem Eventually.filter_mono {f₁ f₂ : Filter α} (h : f₁ ≤ f₂) {p : α → Prop}
(hp : ∀ᶠ x in f₂, p x) : ∀ᶠ x in f₁, p x :=
h hp
#align filter.eventually.filter_mono Filter.Eventually.filter_mono
theorem eventually_of_mem {f : Filter α} {P : α → Prop} {U : Set α} (hU : U ∈ f)
(h : ∀ x ∈ U, P x) : ∀ᶠ x in f, P x :=
mem_of_superset hU h
#align filter.eventually_of_mem Filter.eventually_of_mem
protected theorem Eventually.and {p q : α → Prop} {f : Filter α} :
f.Eventually p → f.Eventually q → ∀ᶠ x in f, p x ∧ q x :=
inter_mem
#align filter.eventually.and Filter.Eventually.and
@[simp] theorem eventually_true (f : Filter α) : ∀ᶠ _ in f, True := univ_mem
#align filter.eventually_true Filter.eventually_true
theorem eventually_of_forall {p : α → Prop} {f : Filter α} (hp : ∀ x, p x) : ∀ᶠ x in f, p x :=
univ_mem' hp
#align filter.eventually_of_forall Filter.eventually_of_forall
@[simp]
theorem eventually_false_iff_eq_bot {f : Filter α} : (∀ᶠ _ in f, False) ↔ f = ⊥ :=
empty_mem_iff_bot
#align filter.eventually_false_iff_eq_bot Filter.eventually_false_iff_eq_bot
@[simp]
theorem eventually_const {f : Filter α} [t : NeBot f] {p : Prop} : (∀ᶠ _ in f, p) ↔ p := by
by_cases h : p <;> simp [h, t.ne]
#align filter.eventually_const Filter.eventually_const
theorem eventually_iff_exists_mem {p : α → Prop} {f : Filter α} :
(∀ᶠ x in f, p x) ↔ ∃ v ∈ f, ∀ y ∈ v, p y :=
exists_mem_subset_iff.symm
#align filter.eventually_iff_exists_mem Filter.eventually_iff_exists_mem
theorem Eventually.exists_mem {p : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x) :
∃ v ∈ f, ∀ y ∈ v, p y :=
eventually_iff_exists_mem.1 hp
#align filter.eventually.exists_mem Filter.Eventually.exists_mem
theorem Eventually.mp {p q : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x)
(hq : ∀ᶠ x in f, p x → q x) : ∀ᶠ x in f, q x :=
mp_mem hp hq
#align filter.eventually.mp Filter.Eventually.mp
theorem Eventually.mono {p q : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x)
(hq : ∀ x, p x → q x) : ∀ᶠ x in f, q x :=
hp.mp (eventually_of_forall hq)
#align filter.eventually.mono Filter.Eventually.mono
theorem forall_eventually_of_eventually_forall {f : Filter α} {p : α → β → Prop}
(h : ∀ᶠ x in f, ∀ y, p x y) : ∀ y, ∀ᶠ x in f, p x y :=
fun y => h.mono fun _ h => h y
#align filter.forall_eventually_of_eventually_forall Filter.forall_eventually_of_eventually_forall
@[simp]
theorem eventually_and {p q : α → Prop} {f : Filter α} :
(∀ᶠ x in f, p x ∧ q x) ↔ (∀ᶠ x in f, p x) ∧ ∀ᶠ x in f, q x :=
inter_mem_iff
#align filter.eventually_and Filter.eventually_and
theorem Eventually.congr {f : Filter α} {p q : α → Prop} (h' : ∀ᶠ x in f, p x)
(h : ∀ᶠ x in f, p x ↔ q x) : ∀ᶠ x in f, q x :=
h'.mp (h.mono fun _ hx => hx.mp)
#align filter.eventually.congr Filter.Eventually.congr
theorem eventually_congr {f : Filter α} {p q : α → Prop} (h : ∀ᶠ x in f, p x ↔ q x) :
(∀ᶠ x in f, p x) ↔ ∀ᶠ x in f, q x :=
⟨fun hp => hp.congr h, fun hq => hq.congr <| by simpa only [Iff.comm] using h⟩
#align filter.eventually_congr Filter.eventually_congr
@[simp]
theorem eventually_all {ι : Sort*} [Finite ι] {l} {p : ι → α → Prop} :
(∀ᶠ x in l, ∀ i, p i x) ↔ ∀ i, ∀ᶠ x in l, p i x := by
simpa only [Filter.Eventually, setOf_forall] using iInter_mem
#align filter.eventually_all Filter.eventually_all
@[simp]
theorem eventually_all_finite {ι} {I : Set ι} (hI : I.Finite) {l} {p : ι → α → Prop} :
(∀ᶠ x in l, ∀ i ∈ I, p i x) ↔ ∀ i ∈ I, ∀ᶠ x in l, p i x := by
simpa only [Filter.Eventually, setOf_forall] using biInter_mem hI
#align filter.eventually_all_finite Filter.eventually_all_finite
alias _root_.Set.Finite.eventually_all := eventually_all_finite
#align set.finite.eventually_all Set.Finite.eventually_all
-- attribute [protected] Set.Finite.eventually_all
@[simp] theorem eventually_all_finset {ι} (I : Finset ι) {l} {p : ι → α → Prop} :
(∀ᶠ x in l, ∀ i ∈ I, p i x) ↔ ∀ i ∈ I, ∀ᶠ x in l, p i x :=
I.finite_toSet.eventually_all
#align filter.eventually_all_finset Filter.eventually_all_finset
alias _root_.Finset.eventually_all := eventually_all_finset
#align finset.eventually_all Finset.eventually_all
-- attribute [protected] Finset.eventually_all
@[simp]
theorem eventually_or_distrib_left {f : Filter α} {p : Prop} {q : α → Prop} :
(∀ᶠ x in f, p ∨ q x) ↔ p ∨ ∀ᶠ x in f, q x :=
by_cases (fun h : p => by simp [h]) fun h => by simp [h]
#align filter.eventually_or_distrib_left Filter.eventually_or_distrib_left
@[simp]
theorem eventually_or_distrib_right {f : Filter α} {p : α → Prop} {q : Prop} :
(∀ᶠ x in f, p x ∨ q) ↔ (∀ᶠ x in f, p x) ∨ q := by
simp only [@or_comm _ q, eventually_or_distrib_left]
#align filter.eventually_or_distrib_right Filter.eventually_or_distrib_right
theorem eventually_imp_distrib_left {f : Filter α} {p : Prop} {q : α → Prop} :
(∀ᶠ x in f, p → q x) ↔ p → ∀ᶠ x in f, q x :=
eventually_all
#align filter.eventually_imp_distrib_left Filter.eventually_imp_distrib_left
@[simp]
theorem eventually_bot {p : α → Prop} : ∀ᶠ x in ⊥, p x :=
⟨⟩
#align filter.eventually_bot Filter.eventually_bot
@[simp]
theorem eventually_top {p : α → Prop} : (∀ᶠ x in ⊤, p x) ↔ ∀ x, p x :=
Iff.rfl
#align filter.eventually_top Filter.eventually_top
@[simp]
theorem eventually_sup {p : α → Prop} {f g : Filter α} :
(∀ᶠ x in f ⊔ g, p x) ↔ (∀ᶠ x in f, p x) ∧ ∀ᶠ x in g, p x :=
Iff.rfl
#align filter.eventually_sup Filter.eventually_sup
@[simp]
theorem eventually_sSup {p : α → Prop} {fs : Set (Filter α)} :
(∀ᶠ x in sSup fs, p x) ↔ ∀ f ∈ fs, ∀ᶠ x in f, p x :=
Iff.rfl
#align filter.eventually_Sup Filter.eventually_sSup
@[simp]
theorem eventually_iSup {p : α → Prop} {fs : ι → Filter α} :
(∀ᶠ x in ⨆ b, fs b, p x) ↔ ∀ b, ∀ᶠ x in fs b, p x :=
mem_iSup
#align filter.eventually_supr Filter.eventually_iSup
@[simp]
theorem eventually_principal {a : Set α} {p : α → Prop} : (∀ᶠ x in 𝓟 a, p x) ↔ ∀ x ∈ a, p x :=
Iff.rfl
#align filter.eventually_principal Filter.eventually_principal
theorem Eventually.forall_mem {α : Type*} {f : Filter α} {s : Set α} {P : α → Prop}
(hP : ∀ᶠ x in f, P x) (hf : 𝓟 s ≤ f) : ∀ x ∈ s, P x :=
Filter.eventually_principal.mp (hP.filter_mono hf)
theorem eventually_inf {f g : Filter α} {p : α → Prop} :
(∀ᶠ x in f ⊓ g, p x) ↔ ∃ s ∈ f, ∃ t ∈ g, ∀ x ∈ s ∩ t, p x :=
mem_inf_iff_superset
#align filter.eventually_inf Filter.eventually_inf
theorem eventually_inf_principal {f : Filter α} {p : α → Prop} {s : Set α} :
(∀ᶠ x in f ⊓ 𝓟 s, p x) ↔ ∀ᶠ x in f, x ∈ s → p x :=
mem_inf_principal
#align filter.eventually_inf_principal Filter.eventually_inf_principal
protected def Frequently (p : α → Prop) (f : Filter α) : Prop :=
¬∀ᶠ x in f, ¬p x
#align filter.frequently Filter.Frequently
@[inherit_doc Filter.Frequently]
notation3 "∃ᶠ "(...)" in "f", "r:(scoped p => Filter.Frequently p f) => r
theorem Eventually.frequently {f : Filter α} [NeBot f] {p : α → Prop} (h : ∀ᶠ x in f, p x) :
∃ᶠ x in f, p x :=
compl_not_mem h
#align filter.eventually.frequently Filter.Eventually.frequently
theorem frequently_of_forall {f : Filter α} [NeBot f] {p : α → Prop} (h : ∀ x, p x) :
∃ᶠ x in f, p x :=
Eventually.frequently (eventually_of_forall h)
#align filter.frequently_of_forall Filter.frequently_of_forall
theorem Frequently.mp {p q : α → Prop} {f : Filter α} (h : ∃ᶠ x in f, p x)
(hpq : ∀ᶠ x in f, p x → q x) : ∃ᶠ x in f, q x :=
mt (fun hq => hq.mp <| hpq.mono fun _ => mt) h
#align filter.frequently.mp Filter.Frequently.mp
theorem Frequently.filter_mono {p : α → Prop} {f g : Filter α} (h : ∃ᶠ x in f, p x) (hle : f ≤ g) :
∃ᶠ x in g, p x :=
mt (fun h' => h'.filter_mono hle) h
#align filter.frequently.filter_mono Filter.Frequently.filter_mono
theorem Frequently.mono {p q : α → Prop} {f : Filter α} (h : ∃ᶠ x in f, p x)
(hpq : ∀ x, p x → q x) : ∃ᶠ x in f, q x :=
h.mp (eventually_of_forall hpq)
#align filter.frequently.mono Filter.Frequently.mono
theorem Frequently.and_eventually {p q : α → Prop} {f : Filter α} (hp : ∃ᶠ x in f, p x)
(hq : ∀ᶠ x in f, q x) : ∃ᶠ x in f, p x ∧ q x := by
refine mt (fun h => hq.mp <| h.mono ?_) hp
exact fun x hpq hq hp => hpq ⟨hp, hq⟩
#align filter.frequently.and_eventually Filter.Frequently.and_eventually
theorem Eventually.and_frequently {p q : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x)
(hq : ∃ᶠ x in f, q x) : ∃ᶠ x in f, p x ∧ q x := by
simpa only [and_comm] using hq.and_eventually hp
#align filter.eventually.and_frequently Filter.Eventually.and_frequently
theorem Frequently.exists {p : α → Prop} {f : Filter α} (hp : ∃ᶠ x in f, p x) : ∃ x, p x := by
by_contra H
replace H : ∀ᶠ x in f, ¬p x := eventually_of_forall (not_exists.1 H)
exact hp H
#align filter.frequently.exists Filter.Frequently.exists
theorem Eventually.exists {p : α → Prop} {f : Filter α} [NeBot f] (hp : ∀ᶠ x in f, p x) :
∃ x, p x :=
hp.frequently.exists
#align filter.eventually.exists Filter.Eventually.exists
lemma frequently_iff_neBot {p : α → Prop} : (∃ᶠ x in l, p x) ↔ NeBot (l ⊓ 𝓟 {x | p x}) := by
rw [neBot_iff, Ne, inf_principal_eq_bot]; rfl
lemma frequently_mem_iff_neBot {s : Set α} : (∃ᶠ x in l, x ∈ s) ↔ NeBot (l ⊓ 𝓟 s) :=
frequently_iff_neBot
theorem frequently_iff_forall_eventually_exists_and {p : α → Prop} {f : Filter α} :
(∃ᶠ x in f, p x) ↔ ∀ {q : α → Prop}, (∀ᶠ x in f, q x) → ∃ x, p x ∧ q x :=
⟨fun hp q hq => (hp.and_eventually hq).exists, fun H hp => by
simpa only [and_not_self_iff, exists_false] using H hp⟩
#align filter.frequently_iff_forall_eventually_exists_and Filter.frequently_iff_forall_eventually_exists_and
theorem frequently_iff {f : Filter α} {P : α → Prop} :
(∃ᶠ x in f, P x) ↔ ∀ {U}, U ∈ f → ∃ x ∈ U, P x := by
simp only [frequently_iff_forall_eventually_exists_and, @and_comm (P _)]
rfl
#align filter.frequently_iff Filter.frequently_iff
@[simp]
theorem not_eventually {p : α → Prop} {f : Filter α} : (¬∀ᶠ x in f, p x) ↔ ∃ᶠ x in f, ¬p x := by
simp [Filter.Frequently]
#align filter.not_eventually Filter.not_eventually
@[simp]
theorem not_frequently {p : α → Prop} {f : Filter α} : (¬∃ᶠ x in f, p x) ↔ ∀ᶠ x in f, ¬p x := by
simp only [Filter.Frequently, not_not]
#align filter.not_frequently Filter.not_frequently
@[simp]
theorem frequently_true_iff_neBot (f : Filter α) : (∃ᶠ _ in f, True) ↔ NeBot f := by
simp [frequently_iff_neBot]
#align filter.frequently_true_iff_ne_bot Filter.frequently_true_iff_neBot
@[simp]
theorem frequently_false (f : Filter α) : ¬∃ᶠ _ in f, False := by simp
#align filter.frequently_false Filter.frequently_false
@[simp]
theorem frequently_const {f : Filter α} [NeBot f] {p : Prop} : (∃ᶠ _ in f, p) ↔ p := by
by_cases p <;> simp [*]
#align filter.frequently_const Filter.frequently_const
@[simp]
theorem frequently_or_distrib {f : Filter α} {p q : α → Prop} :
(∃ᶠ x in f, p x ∨ q x) ↔ (∃ᶠ x in f, p x) ∨ ∃ᶠ x in f, q x := by
simp only [Filter.Frequently, ← not_and_or, not_or, eventually_and]
#align filter.frequently_or_distrib Filter.frequently_or_distrib
theorem frequently_or_distrib_left {f : Filter α} [NeBot f] {p : Prop} {q : α → Prop} :
(∃ᶠ x in f, p ∨ q x) ↔ p ∨ ∃ᶠ x in f, q x := by simp
#align filter.frequently_or_distrib_left Filter.frequently_or_distrib_left
theorem frequently_or_distrib_right {f : Filter α} [NeBot f] {p : α → Prop} {q : Prop} :
(∃ᶠ x in f, p x ∨ q) ↔ (∃ᶠ x in f, p x) ∨ q := by simp
#align filter.frequently_or_distrib_right Filter.frequently_or_distrib_right
theorem frequently_imp_distrib {f : Filter α} {p q : α → Prop} :
(∃ᶠ x in f, p x → q x) ↔ (∀ᶠ x in f, p x) → ∃ᶠ x in f, q x := by
simp [imp_iff_not_or]
#align filter.frequently_imp_distrib Filter.frequently_imp_distrib
theorem frequently_imp_distrib_left {f : Filter α} [NeBot f] {p : Prop} {q : α → Prop} :
(∃ᶠ x in f, p → q x) ↔ p → ∃ᶠ x in f, q x := by simp [frequently_imp_distrib]
#align filter.frequently_imp_distrib_left Filter.frequently_imp_distrib_left
theorem frequently_imp_distrib_right {f : Filter α} [NeBot f] {p : α → Prop} {q : Prop} :
(∃ᶠ x in f, p x → q) ↔ (∀ᶠ x in f, p x) → q := by
set_option tactic.skipAssignedInstances false in simp [frequently_imp_distrib]
#align filter.frequently_imp_distrib_right Filter.frequently_imp_distrib_right
theorem eventually_imp_distrib_right {f : Filter α} {p : α → Prop} {q : Prop} :
(∀ᶠ x in f, p x → q) ↔ (∃ᶠ x in f, p x) → q := by
simp only [imp_iff_not_or, eventually_or_distrib_right, not_frequently]
#align filter.eventually_imp_distrib_right Filter.eventually_imp_distrib_right
@[simp]
theorem frequently_and_distrib_left {f : Filter α} {p : Prop} {q : α → Prop} :
(∃ᶠ x in f, p ∧ q x) ↔ p ∧ ∃ᶠ x in f, q x := by
simp only [Filter.Frequently, not_and, eventually_imp_distrib_left, Classical.not_imp]
#align filter.frequently_and_distrib_left Filter.frequently_and_distrib_left
@[simp]
theorem frequently_and_distrib_right {f : Filter α} {p : α → Prop} {q : Prop} :
(∃ᶠ x in f, p x ∧ q) ↔ (∃ᶠ x in f, p x) ∧ q := by
simp only [@and_comm _ q, frequently_and_distrib_left]
#align filter.frequently_and_distrib_right Filter.frequently_and_distrib_right
@[simp]
theorem frequently_bot {p : α → Prop} : ¬∃ᶠ x in ⊥, p x := by simp
#align filter.frequently_bot Filter.frequently_bot
@[simp]
theorem frequently_top {p : α → Prop} : (∃ᶠ x in ⊤, p x) ↔ ∃ x, p x := by simp [Filter.Frequently]
#align filter.frequently_top Filter.frequently_top
@[simp]
theorem frequently_principal {a : Set α} {p : α → Prop} : (∃ᶠ x in 𝓟 a, p x) ↔ ∃ x ∈ a, p x := by
simp [Filter.Frequently, not_forall]
#align filter.frequently_principal Filter.frequently_principal
theorem frequently_inf_principal {f : Filter α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in f ⊓ 𝓟 s, p x) ↔ ∃ᶠ x in f, x ∈ s ∧ p x := by
simp only [Filter.Frequently, eventually_inf_principal, not_and]
alias ⟨Frequently.of_inf_principal, Frequently.inf_principal⟩ := frequently_inf_principal
theorem frequently_sup {p : α → Prop} {f g : Filter α} :
(∃ᶠ x in f ⊔ g, p x) ↔ (∃ᶠ x in f, p x) ∨ ∃ᶠ x in g, p x := by
simp only [Filter.Frequently, eventually_sup, not_and_or]
#align filter.frequently_sup Filter.frequently_sup
@[simp]
theorem frequently_sSup {p : α → Prop} {fs : Set (Filter α)} :
(∃ᶠ x in sSup fs, p x) ↔ ∃ f ∈ fs, ∃ᶠ x in f, p x := by
simp only [Filter.Frequently, not_forall, eventually_sSup, exists_prop]
#align filter.frequently_Sup Filter.frequently_sSup
@[simp]
theorem frequently_iSup {p : α → Prop} {fs : β → Filter α} :
(∃ᶠ x in ⨆ b, fs b, p x) ↔ ∃ b, ∃ᶠ x in fs b, p x := by
simp only [Filter.Frequently, eventually_iSup, not_forall]
#align filter.frequently_supr Filter.frequently_iSup
theorem Eventually.choice {r : α → β → Prop} {l : Filter α} [l.NeBot] (h : ∀ᶠ x in l, ∃ y, r x y) :
∃ f : α → β, ∀ᶠ x in l, r x (f x) := by
haveI : Nonempty β := let ⟨_, hx⟩ := h.exists; hx.nonempty
choose! f hf using fun x (hx : ∃ y, r x y) => hx
exact ⟨f, h.mono hf⟩
#align filter.eventually.choice Filter.Eventually.choice
def EventuallyEq (l : Filter α) (f g : α → β) : Prop :=
∀ᶠ x in l, f x = g x
#align filter.eventually_eq Filter.EventuallyEq
@[inherit_doc]
notation:50 f " =ᶠ[" l:50 "] " g:50 => EventuallyEq l f g
theorem EventuallyEq.eventually {l : Filter α} {f g : α → β} (h : f =ᶠ[l] g) :
∀ᶠ x in l, f x = g x :=
h
#align filter.eventually_eq.eventually Filter.EventuallyEq.eventually
theorem EventuallyEq.rw {l : Filter α} {f g : α → β} (h : f =ᶠ[l] g) (p : α → β → Prop)
(hf : ∀ᶠ x in l, p x (f x)) : ∀ᶠ x in l, p x (g x) :=
hf.congr <| h.mono fun _ hx => hx ▸ Iff.rfl
#align filter.eventually_eq.rw Filter.EventuallyEq.rw
theorem eventuallyEq_set {s t : Set α} {l : Filter α} : s =ᶠ[l] t ↔ ∀ᶠ x in l, x ∈ s ↔ x ∈ t :=
eventually_congr <| eventually_of_forall fun _ ↦ eq_iff_iff
#align filter.eventually_eq_set Filter.eventuallyEq_set
alias ⟨EventuallyEq.mem_iff, Eventually.set_eq⟩ := eventuallyEq_set
#align filter.eventually_eq.mem_iff Filter.EventuallyEq.mem_iff
#align filter.eventually.set_eq Filter.Eventually.set_eq
@[simp]
theorem eventuallyEq_univ {s : Set α} {l : Filter α} : s =ᶠ[l] univ ↔ s ∈ l := by
simp [eventuallyEq_set]
#align filter.eventually_eq_univ Filter.eventuallyEq_univ
theorem EventuallyEq.exists_mem {l : Filter α} {f g : α → β} (h : f =ᶠ[l] g) :
∃ s ∈ l, EqOn f g s :=
Eventually.exists_mem h
#align filter.eventually_eq.exists_mem Filter.EventuallyEq.exists_mem
theorem eventuallyEq_of_mem {l : Filter α} {f g : α → β} {s : Set α} (hs : s ∈ l) (h : EqOn f g s) :
f =ᶠ[l] g :=
eventually_of_mem hs h
#align filter.eventually_eq_of_mem Filter.eventuallyEq_of_mem
theorem eventuallyEq_iff_exists_mem {l : Filter α} {f g : α → β} :
f =ᶠ[l] g ↔ ∃ s ∈ l, EqOn f g s :=
eventually_iff_exists_mem
#align filter.eventually_eq_iff_exists_mem Filter.eventuallyEq_iff_exists_mem
theorem EventuallyEq.filter_mono {l l' : Filter α} {f g : α → β} (h₁ : f =ᶠ[l] g) (h₂ : l' ≤ l) :
f =ᶠ[l'] g :=
h₂ h₁
#align filter.eventually_eq.filter_mono Filter.EventuallyEq.filter_mono
@[refl, simp]
theorem EventuallyEq.refl (l : Filter α) (f : α → β) : f =ᶠ[l] f :=
eventually_of_forall fun _ => rfl
#align filter.eventually_eq.refl Filter.EventuallyEq.refl
protected theorem EventuallyEq.rfl {l : Filter α} {f : α → β} : f =ᶠ[l] f :=
EventuallyEq.refl l f
#align filter.eventually_eq.rfl Filter.EventuallyEq.rfl
@[symm]
theorem EventuallyEq.symm {f g : α → β} {l : Filter α} (H : f =ᶠ[l] g) : g =ᶠ[l] f :=
H.mono fun _ => Eq.symm
#align filter.eventually_eq.symm Filter.EventuallyEq.symm
@[trans]
theorem EventuallyEq.trans {l : Filter α} {f g h : α → β} (H₁ : f =ᶠ[l] g) (H₂ : g =ᶠ[l] h) :
f =ᶠ[l] h :=
H₂.rw (fun x y => f x = y) H₁
#align filter.eventually_eq.trans Filter.EventuallyEq.trans
instance : Trans ((· =ᶠ[l] ·) : (α → β) → (α → β) → Prop) (· =ᶠ[l] ·) (· =ᶠ[l] ·) where
trans := EventuallyEq.trans
theorem EventuallyEq.prod_mk {l} {f f' : α → β} (hf : f =ᶠ[l] f') {g g' : α → γ} (hg : g =ᶠ[l] g') :
(fun x => (f x, g x)) =ᶠ[l] fun x => (f' x, g' x) :=
hf.mp <|
hg.mono <| by
intros
simp only [*]
#align filter.eventually_eq.prod_mk Filter.EventuallyEq.prod_mk
-- See `EventuallyEq.comp_tendsto` further below for a similar statement w.r.t.
-- composition on the right.
theorem EventuallyEq.fun_comp {f g : α → β} {l : Filter α} (H : f =ᶠ[l] g) (h : β → γ) :
h ∘ f =ᶠ[l] h ∘ g :=
H.mono fun _ hx => congr_arg h hx
#align filter.eventually_eq.fun_comp Filter.EventuallyEq.fun_comp
theorem EventuallyEq.comp₂ {δ} {f f' : α → β} {g g' : α → γ} {l} (Hf : f =ᶠ[l] f') (h : β → γ → δ)
(Hg : g =ᶠ[l] g') : (fun x => h (f x) (g x)) =ᶠ[l] fun x => h (f' x) (g' x) :=
(Hf.prod_mk Hg).fun_comp (uncurry h)
#align filter.eventually_eq.comp₂ Filter.EventuallyEq.comp₂
@[to_additive]
theorem EventuallyEq.mul [Mul β] {f f' g g' : α → β} {l : Filter α} (h : f =ᶠ[l] g)
(h' : f' =ᶠ[l] g') : (fun x => f x * f' x) =ᶠ[l] fun x => g x * g' x :=
h.comp₂ (· * ·) h'
#align filter.eventually_eq.mul Filter.EventuallyEq.mul
#align filter.eventually_eq.add Filter.EventuallyEq.add
@[to_additive const_smul]
theorem EventuallyEq.pow_const {γ} [Pow β γ] {f g : α → β} {l : Filter α} (h : f =ᶠ[l] g) (c : γ):
(fun x => f x ^ c) =ᶠ[l] fun x => g x ^ c :=
h.fun_comp (· ^ c)
#align filter.eventually_eq.const_smul Filter.EventuallyEq.const_smul
@[to_additive]
theorem EventuallyEq.inv [Inv β] {f g : α → β} {l : Filter α} (h : f =ᶠ[l] g) :
(fun x => (f x)⁻¹) =ᶠ[l] fun x => (g x)⁻¹ :=
h.fun_comp Inv.inv
#align filter.eventually_eq.inv Filter.EventuallyEq.inv
#align filter.eventually_eq.neg Filter.EventuallyEq.neg
@[to_additive]
theorem EventuallyEq.div [Div β] {f f' g g' : α → β} {l : Filter α} (h : f =ᶠ[l] g)
(h' : f' =ᶠ[l] g') : (fun x => f x / f' x) =ᶠ[l] fun x => g x / g' x :=
h.comp₂ (· / ·) h'
#align filter.eventually_eq.div Filter.EventuallyEq.div
#align filter.eventually_eq.sub Filter.EventuallyEq.sub
attribute [to_additive] EventuallyEq.const_smul
#align filter.eventually_eq.const_vadd Filter.EventuallyEq.const_vadd
@[to_additive]
theorem EventuallyEq.smul {𝕜} [SMul 𝕜 β] {l : Filter α} {f f' : α → 𝕜} {g g' : α → β}
(hf : f =ᶠ[l] f') (hg : g =ᶠ[l] g') : (fun x => f x • g x) =ᶠ[l] fun x => f' x • g' x :=
hf.comp₂ (· • ·) hg
#align filter.eventually_eq.smul Filter.EventuallyEq.smul
#align filter.eventually_eq.vadd Filter.EventuallyEq.vadd
theorem EventuallyEq.sup [Sup β] {l : Filter α} {f f' g g' : α → β} (hf : f =ᶠ[l] f')
(hg : g =ᶠ[l] g') : (fun x => f x ⊔ g x) =ᶠ[l] fun x => f' x ⊔ g' x :=
hf.comp₂ (· ⊔ ·) hg
#align filter.eventually_eq.sup Filter.EventuallyEq.sup
theorem EventuallyEq.inf [Inf β] {l : Filter α} {f f' g g' : α → β} (hf : f =ᶠ[l] f')
(hg : g =ᶠ[l] g') : (fun x => f x ⊓ g x) =ᶠ[l] fun x => f' x ⊓ g' x :=
hf.comp₂ (· ⊓ ·) hg
#align filter.eventually_eq.inf Filter.EventuallyEq.inf
theorem EventuallyEq.preimage {l : Filter α} {f g : α → β} (h : f =ᶠ[l] g) (s : Set β) :
f ⁻¹' s =ᶠ[l] g ⁻¹' s :=
h.fun_comp s
#align filter.eventually_eq.preimage Filter.EventuallyEq.preimage
theorem EventuallyEq.inter {s t s' t' : Set α} {l : Filter α} (h : s =ᶠ[l] t) (h' : s' =ᶠ[l] t') :
(s ∩ s' : Set α) =ᶠ[l] (t ∩ t' : Set α) :=
h.comp₂ (· ∧ ·) h'
#align filter.eventually_eq.inter Filter.EventuallyEq.inter
theorem EventuallyEq.union {s t s' t' : Set α} {l : Filter α} (h : s =ᶠ[l] t) (h' : s' =ᶠ[l] t') :
(s ∪ s' : Set α) =ᶠ[l] (t ∪ t' : Set α) :=
h.comp₂ (· ∨ ·) h'
#align filter.eventually_eq.union Filter.EventuallyEq.union
theorem EventuallyEq.compl {s t : Set α} {l : Filter α} (h : s =ᶠ[l] t) :
(sᶜ : Set α) =ᶠ[l] (tᶜ : Set α) :=
h.fun_comp Not
#align filter.eventually_eq.compl Filter.EventuallyEq.compl
theorem EventuallyEq.diff {s t s' t' : Set α} {l : Filter α} (h : s =ᶠ[l] t) (h' : s' =ᶠ[l] t') :
(s \ s' : Set α) =ᶠ[l] (t \ t' : Set α) :=
h.inter h'.compl
#align filter.eventually_eq.diff Filter.EventuallyEq.diff
theorem eventuallyEq_empty {s : Set α} {l : Filter α} : s =ᶠ[l] (∅ : Set α) ↔ ∀ᶠ x in l, x ∉ s :=
eventuallyEq_set.trans <| by simp
#align filter.eventually_eq_empty Filter.eventuallyEq_empty
theorem inter_eventuallyEq_left {s t : Set α} {l : Filter α} :
(s ∩ t : Set α) =ᶠ[l] s ↔ ∀ᶠ x in l, x ∈ s → x ∈ t := by
simp only [eventuallyEq_set, mem_inter_iff, and_iff_left_iff_imp]
#align filter.inter_eventually_eq_left Filter.inter_eventuallyEq_left
theorem inter_eventuallyEq_right {s t : Set α} {l : Filter α} :
(s ∩ t : Set α) =ᶠ[l] t ↔ ∀ᶠ x in l, x ∈ t → x ∈ s := by
rw [inter_comm, inter_eventuallyEq_left]
#align filter.inter_eventually_eq_right Filter.inter_eventuallyEq_right
@[simp]
theorem eventuallyEq_principal {s : Set α} {f g : α → β} : f =ᶠ[𝓟 s] g ↔ EqOn f g s :=
Iff.rfl
#align filter.eventually_eq_principal Filter.eventuallyEq_principal
theorem eventuallyEq_inf_principal_iff {F : Filter α} {s : Set α} {f g : α → β} :
f =ᶠ[F ⊓ 𝓟 s] g ↔ ∀ᶠ x in F, x ∈ s → f x = g x :=
eventually_inf_principal
#align filter.eventually_eq_inf_principal_iff Filter.eventuallyEq_inf_principal_iff
theorem EventuallyEq.sub_eq [AddGroup β] {f g : α → β} {l : Filter α} (h : f =ᶠ[l] g) :
f - g =ᶠ[l] 0 := by simpa using ((EventuallyEq.refl l f).sub h).symm
#align filter.eventually_eq.sub_eq Filter.EventuallyEq.sub_eq
theorem eventuallyEq_iff_sub [AddGroup β] {f g : α → β} {l : Filter α} :
f =ᶠ[l] g ↔ f - g =ᶠ[l] 0 :=
⟨fun h => h.sub_eq, fun h => by simpa using h.add (EventuallyEq.refl l g)⟩
#align filter.eventually_eq_iff_sub Filter.eventuallyEq_iff_sub
theorem EventuallyLE.antisymm [PartialOrder β] {l : Filter α} {f g : α → β} (h₁ : f ≤ᶠ[l] g)
(h₂ : g ≤ᶠ[l] f) : f =ᶠ[l] g :=
h₂.mp <| h₁.mono fun _ => le_antisymm
#align filter.eventually_le.antisymm Filter.EventuallyLE.antisymm
theorem eventuallyLE_antisymm_iff [PartialOrder β] {l : Filter α} {f g : α → β} :
f =ᶠ[l] g ↔ f ≤ᶠ[l] g ∧ g ≤ᶠ[l] f := by
simp only [EventuallyEq, EventuallyLE, le_antisymm_iff, eventually_and]
#align filter.eventually_le_antisymm_iff Filter.eventuallyLE_antisymm_iff
theorem EventuallyLE.le_iff_eq [PartialOrder β] {l : Filter α} {f g : α → β} (h : f ≤ᶠ[l] g) :
g ≤ᶠ[l] f ↔ g =ᶠ[l] f :=
⟨fun h' => h'.antisymm h, EventuallyEq.le⟩
#align filter.eventually_le.le_iff_eq Filter.EventuallyLE.le_iff_eq
theorem Eventually.ne_of_lt [Preorder β] {l : Filter α} {f g : α → β} (h : ∀ᶠ x in l, f x < g x) :
∀ᶠ x in l, f x ≠ g x :=
h.mono fun _ hx => hx.ne
#align filter.eventually.ne_of_lt Filter.Eventually.ne_of_lt
theorem Eventually.ne_top_of_lt [PartialOrder β] [OrderTop β] {l : Filter α} {f g : α → β}
(h : ∀ᶠ x in l, f x < g x) : ∀ᶠ x in l, f x ≠ ⊤ :=
h.mono fun _ hx => hx.ne_top
#align filter.eventually.ne_top_of_lt Filter.Eventually.ne_top_of_lt
theorem Eventually.lt_top_of_ne [PartialOrder β] [OrderTop β] {l : Filter α} {f : α → β}
(h : ∀ᶠ x in l, f x ≠ ⊤) : ∀ᶠ x in l, f x < ⊤ :=
h.mono fun _ hx => hx.lt_top
#align filter.eventually.lt_top_of_ne Filter.Eventually.lt_top_of_ne
theorem Eventually.lt_top_iff_ne_top [PartialOrder β] [OrderTop β] {l : Filter α} {f : α → β} :
(∀ᶠ x in l, f x < ⊤) ↔ ∀ᶠ x in l, f x ≠ ⊤ :=
⟨Eventually.ne_of_lt, Eventually.lt_top_of_ne⟩
#align filter.eventually.lt_top_iff_ne_top Filter.Eventually.lt_top_iff_ne_top
@[mono]
theorem EventuallyLE.inter {s t s' t' : Set α} {l : Filter α} (h : s ≤ᶠ[l] t) (h' : s' ≤ᶠ[l] t') :
(s ∩ s' : Set α) ≤ᶠ[l] (t ∩ t' : Set α) :=
h'.mp <| h.mono fun _ => And.imp
#align filter.eventually_le.inter Filter.EventuallyLE.inter
@[mono]
theorem EventuallyLE.union {s t s' t' : Set α} {l : Filter α} (h : s ≤ᶠ[l] t) (h' : s' ≤ᶠ[l] t') :
(s ∪ s' : Set α) ≤ᶠ[l] (t ∪ t' : Set α) :=
h'.mp <| h.mono fun _ => Or.imp
#align filter.eventually_le.union Filter.EventuallyLE.union
protected lemma EventuallyLE.iUnion [Finite ι] {s t : ι → Set α}
(h : ∀ i, s i ≤ᶠ[l] t i) : (⋃ i, s i) ≤ᶠ[l] ⋃ i, t i :=
(eventually_all.2 h).mono fun _x hx hx' ↦
let ⟨i, hi⟩ := mem_iUnion.1 hx'; mem_iUnion.2 ⟨i, hx i hi⟩
protected lemma EventuallyEq.iUnion [Finite ι] {s t : ι → Set α}
(h : ∀ i, s i =ᶠ[l] t i) : (⋃ i, s i) =ᶠ[l] ⋃ i, t i :=
(EventuallyLE.iUnion fun i ↦ (h i).le).antisymm <| .iUnion fun i ↦ (h i).symm.le
protected lemma EventuallyLE.iInter [Finite ι] {s t : ι → Set α}
(h : ∀ i, s i ≤ᶠ[l] t i) : (⋂ i, s i) ≤ᶠ[l] ⋂ i, t i :=
(eventually_all.2 h).mono fun _x hx hx' ↦ mem_iInter.2 fun i ↦ hx i (mem_iInter.1 hx' i)
protected lemma EventuallyEq.iInter [Finite ι] {s t : ι → Set α}
(h : ∀ i, s i =ᶠ[l] t i) : (⋂ i, s i) =ᶠ[l] ⋂ i, t i :=
(EventuallyLE.iInter fun i ↦ (h i).le).antisymm <| .iInter fun i ↦ (h i).symm.le
lemma _root_.Set.Finite.eventuallyLE_iUnion {ι : Type*} {s : Set ι} (hs : s.Finite)
{f g : ι → Set α} (hle : ∀ i ∈ s, f i ≤ᶠ[l] g i) : (⋃ i ∈ s, f i) ≤ᶠ[l] (⋃ i ∈ s, g i) := by
have := hs.to_subtype
rw [biUnion_eq_iUnion, biUnion_eq_iUnion]
exact .iUnion fun i ↦ hle i.1 i.2
alias EventuallyLE.biUnion := Set.Finite.eventuallyLE_iUnion
lemma _root_.Set.Finite.eventuallyEq_iUnion {ι : Type*} {s : Set ι} (hs : s.Finite)
{f g : ι → Set α} (heq : ∀ i ∈ s, f i =ᶠ[l] g i) : (⋃ i ∈ s, f i) =ᶠ[l] (⋃ i ∈ s, g i) :=
(EventuallyLE.biUnion hs fun i hi ↦ (heq i hi).le).antisymm <|
.biUnion hs fun i hi ↦ (heq i hi).symm.le
alias EventuallyEq.biUnion := Set.Finite.eventuallyEq_iUnion
lemma _root_.Set.Finite.eventuallyLE_iInter {ι : Type*} {s : Set ι} (hs : s.Finite)
{f g : ι → Set α} (hle : ∀ i ∈ s, f i ≤ᶠ[l] g i) : (⋂ i ∈ s, f i) ≤ᶠ[l] (⋂ i ∈ s, g i) := by
have := hs.to_subtype
rw [biInter_eq_iInter, biInter_eq_iInter]
exact .iInter fun i ↦ hle i.1 i.2
alias EventuallyLE.biInter := Set.Finite.eventuallyLE_iInter
lemma _root_.Set.Finite.eventuallyEq_iInter {ι : Type*} {s : Set ι} (hs : s.Finite)
{f g : ι → Set α} (heq : ∀ i ∈ s, f i =ᶠ[l] g i) : (⋂ i ∈ s, f i) =ᶠ[l] (⋂ i ∈ s, g i) :=
(EventuallyLE.biInter hs fun i hi ↦ (heq i hi).le).antisymm <|
.biInter hs fun i hi ↦ (heq i hi).symm.le
alias EventuallyEq.biInter := Set.Finite.eventuallyEq_iInter
lemma _root_.Finset.eventuallyLE_iUnion {ι : Type*} (s : Finset ι) {f g : ι → Set α}
(hle : ∀ i ∈ s, f i ≤ᶠ[l] g i) : (⋃ i ∈ s, f i) ≤ᶠ[l] (⋃ i ∈ s, g i) :=
.biUnion s.finite_toSet hle
lemma _root_.Finset.eventuallyEq_iUnion {ι : Type*} (s : Finset ι) {f g : ι → Set α}
(heq : ∀ i ∈ s, f i =ᶠ[l] g i) : (⋃ i ∈ s, f i) =ᶠ[l] (⋃ i ∈ s, g i) :=
.biUnion s.finite_toSet heq
lemma _root_.Finset.eventuallyLE_iInter {ι : Type*} (s : Finset ι) {f g : ι → Set α}
(hle : ∀ i ∈ s, f i ≤ᶠ[l] g i) : (⋂ i ∈ s, f i) ≤ᶠ[l] (⋂ i ∈ s, g i) :=
.biInter s.finite_toSet hle
lemma _root_.Finset.eventuallyEq_iInter {ι : Type*} (s : Finset ι) {f g : ι → Set α}
(heq : ∀ i ∈ s, f i =ᶠ[l] g i) : (⋂ i ∈ s, f i) =ᶠ[l] (⋂ i ∈ s, g i) :=
.biInter s.finite_toSet heq
@[mono]
theorem EventuallyLE.compl {s t : Set α} {l : Filter α} (h : s ≤ᶠ[l] t) :
(tᶜ : Set α) ≤ᶠ[l] (sᶜ : Set α) :=
h.mono fun _ => mt
#align filter.eventually_le.compl Filter.EventuallyLE.compl
@[mono]
theorem EventuallyLE.diff {s t s' t' : Set α} {l : Filter α} (h : s ≤ᶠ[l] t) (h' : t' ≤ᶠ[l] s') :
(s \ s' : Set α) ≤ᶠ[l] (t \ t' : Set α) :=
h.inter h'.compl
#align filter.eventually_le.diff Filter.EventuallyLE.diff
theorem set_eventuallyLE_iff_mem_inf_principal {s t : Set α} {l : Filter α} :
s ≤ᶠ[l] t ↔ t ∈ l ⊓ 𝓟 s :=
eventually_inf_principal.symm
#align filter.set_eventually_le_iff_mem_inf_principal Filter.set_eventuallyLE_iff_mem_inf_principal
theorem set_eventuallyLE_iff_inf_principal_le {s t : Set α} {l : Filter α} :
s ≤ᶠ[l] t ↔ l ⊓ 𝓟 s ≤ l ⊓ 𝓟 t :=
set_eventuallyLE_iff_mem_inf_principal.trans <| by
simp only [le_inf_iff, inf_le_left, true_and_iff, le_principal_iff]
#align filter.set_eventually_le_iff_inf_principal_le Filter.set_eventuallyLE_iff_inf_principal_le
theorem set_eventuallyEq_iff_inf_principal {s t : Set α} {l : Filter α} :
s =ᶠ[l] t ↔ l ⊓ 𝓟 s = l ⊓ 𝓟 t := by
simp only [eventuallyLE_antisymm_iff, le_antisymm_iff, set_eventuallyLE_iff_inf_principal_le]
#align filter.set_eventually_eq_iff_inf_principal Filter.set_eventuallyEq_iff_inf_principal
theorem EventuallyLE.mul_le_mul [MulZeroClass β] [PartialOrder β] [PosMulMono β] [MulPosMono β]
{l : Filter α} {f₁ f₂ g₁ g₂ : α → β} (hf : f₁ ≤ᶠ[l] f₂) (hg : g₁ ≤ᶠ[l] g₂) (hg₀ : 0 ≤ᶠ[l] g₁)
(hf₀ : 0 ≤ᶠ[l] f₂) : f₁ * g₁ ≤ᶠ[l] f₂ * g₂ := by
filter_upwards [hf, hg, hg₀, hf₀] with x using _root_.mul_le_mul
#align filter.eventually_le.mul_le_mul Filter.EventuallyLE.mul_le_mul
@[to_additive EventuallyLE.add_le_add]
theorem EventuallyLE.mul_le_mul' [Mul β] [Preorder β] [CovariantClass β β (· * ·) (· ≤ ·)]
[CovariantClass β β (swap (· * ·)) (· ≤ ·)] {l : Filter α} {f₁ f₂ g₁ g₂ : α → β}
(hf : f₁ ≤ᶠ[l] f₂) (hg : g₁ ≤ᶠ[l] g₂) : f₁ * g₁ ≤ᶠ[l] f₂ * g₂ := by
filter_upwards [hf, hg] with x hfx hgx using _root_.mul_le_mul' hfx hgx
#align filter.eventually_le.mul_le_mul' Filter.EventuallyLE.mul_le_mul'
#align filter.eventually_le.add_le_add Filter.EventuallyLE.add_le_add
theorem EventuallyLE.mul_nonneg [OrderedSemiring β] {l : Filter α} {f g : α → β} (hf : 0 ≤ᶠ[l] f)
(hg : 0 ≤ᶠ[l] g) : 0 ≤ᶠ[l] f * g := by filter_upwards [hf, hg] with x using _root_.mul_nonneg
#align filter.eventually_le.mul_nonneg Filter.EventuallyLE.mul_nonneg
theorem eventually_sub_nonneg [OrderedRing β] {l : Filter α} {f g : α → β} :
0 ≤ᶠ[l] g - f ↔ f ≤ᶠ[l] g :=
eventually_congr <| eventually_of_forall fun _ => sub_nonneg
#align filter.eventually_sub_nonneg Filter.eventually_sub_nonneg
theorem EventuallyLE.sup [SemilatticeSup β] {l : Filter α} {f₁ f₂ g₁ g₂ : α → β} (hf : f₁ ≤ᶠ[l] f₂)
(hg : g₁ ≤ᶠ[l] g₂) : f₁ ⊔ g₁ ≤ᶠ[l] f₂ ⊔ g₂ := by
filter_upwards [hf, hg] with x hfx hgx using sup_le_sup hfx hgx
#align filter.eventually_le.sup Filter.EventuallyLE.sup
theorem EventuallyLE.sup_le [SemilatticeSup β] {l : Filter α} {f g h : α → β} (hf : f ≤ᶠ[l] h)
(hg : g ≤ᶠ[l] h) : f ⊔ g ≤ᶠ[l] h := by
filter_upwards [hf, hg] with x hfx hgx using _root_.sup_le hfx hgx
#align filter.eventually_le.sup_le Filter.EventuallyLE.sup_le
theorem EventuallyLE.le_sup_of_le_left [SemilatticeSup β] {l : Filter α} {f g h : α → β}
(hf : h ≤ᶠ[l] f) : h ≤ᶠ[l] f ⊔ g :=
hf.mono fun _ => _root_.le_sup_of_le_left
#align filter.eventually_le.le_sup_of_le_left Filter.EventuallyLE.le_sup_of_le_left
theorem EventuallyLE.le_sup_of_le_right [SemilatticeSup β] {l : Filter α} {f g h : α → β}
(hg : h ≤ᶠ[l] g) : h ≤ᶠ[l] f ⊔ g :=
hg.mono fun _ => _root_.le_sup_of_le_right
#align filter.eventually_le.le_sup_of_le_right Filter.EventuallyLE.le_sup_of_le_right
theorem join_le {f : Filter (Filter α)} {l : Filter α} (h : ∀ᶠ m in f, m ≤ l) : join f ≤ l :=
fun _ hs => h.mono fun _ hm => hm hs
#align filter.join_le Filter.join_le
def bind (f : Filter α) (m : α → Filter β) : Filter β :=
join (map m f)
#align filter.bind Filter.bind
def seq (f : Filter (α → β)) (g : Filter α) : Filter β where
sets := { s | ∃ u ∈ f, ∃ t ∈ g, ∀ m ∈ u, ∀ x ∈ t, (m : α → β) x ∈ s }
univ_sets := ⟨univ, univ_mem, univ, univ_mem, fun _ _ _ _ => trivial⟩
sets_of_superset := fun ⟨t₀, t₁, h₀, h₁, h⟩ hst =>
⟨t₀, t₁, h₀, h₁, fun _ hx _ hy => hst <| h _ hx _ hy⟩
inter_sets := fun ⟨t₀, ht₀, t₁, ht₁, ht⟩ ⟨u₀, hu₀, u₁, hu₁, hu⟩ =>
⟨t₀ ∩ u₀, inter_mem ht₀ hu₀, t₁ ∩ u₁, inter_mem ht₁ hu₁, fun _ ⟨hx₀, hx₁⟩ _ ⟨hy₀, hy₁⟩ =>
⟨ht _ hx₀ _ hy₀, hu _ hx₁ _ hy₁⟩⟩
#align filter.seq Filter.seq
instance : Pure Filter :=
⟨fun x =>
{ sets := { s | x ∈ s }
inter_sets := And.intro
sets_of_superset := fun hs hst => hst hs
univ_sets := trivial }⟩
instance : Bind Filter :=
⟨@Filter.bind⟩
instance : Functor Filter where map := @Filter.map
instance : LawfulFunctor (Filter : Type u → Type u) where
id_map _ := map_id
comp_map _ _ _ := map_map.symm
map_const := rfl
theorem pure_sets (a : α) : (pure a : Filter α).sets = { s | a ∈ s } :=
rfl
#align filter.pure_sets Filter.pure_sets
@[simp]
theorem mem_pure {a : α} {s : Set α} : s ∈ (pure a : Filter α) ↔ a ∈ s :=
Iff.rfl
#align filter.mem_pure Filter.mem_pure
@[simp]
theorem eventually_pure {a : α} {p : α → Prop} : (∀ᶠ x in pure a, p x) ↔ p a :=
Iff.rfl
#align filter.eventually_pure Filter.eventually_pure
@[simp]
theorem principal_singleton (a : α) : 𝓟 {a} = pure a :=
Filter.ext fun s => by simp only [mem_pure, mem_principal, singleton_subset_iff]
#align filter.principal_singleton Filter.principal_singleton
@[simp]
theorem map_pure (f : α → β) (a : α) : map f (pure a) = pure (f a) :=
rfl
#align filter.map_pure Filter.map_pure
theorem pure_le_principal (a : α) : pure a ≤ 𝓟 s ↔ a ∈ s := by
simp
@[simp] theorem join_pure (f : Filter α) : join (pure f) = f := rfl
#align filter.join_pure Filter.join_pure
@[simp]
theorem pure_bind (a : α) (m : α → Filter β) : bind (pure a) m = m a := by
simp only [Bind.bind, bind, map_pure, join_pure]
#align filter.pure_bind Filter.pure_bind
theorem map_bind {α β} (m : β → γ) (f : Filter α) (g : α → Filter β) :
map m (bind f g) = bind f (map m ∘ g) :=
rfl
theorem bind_map {α β} (m : α → β) (f : Filter α) (g : β → Filter γ) :
(bind (map m f) g) = bind f (g ∘ m) :=
rfl
section
protected def monad : Monad Filter where map := @Filter.map
#align filter.monad Filter.monad
attribute [local instance] Filter.monad
protected theorem lawfulMonad : LawfulMonad Filter where
map_const := rfl
id_map _ := rfl
seqLeft_eq _ _ := rfl
seqRight_eq _ _ := rfl
pure_seq _ _ := rfl
bind_pure_comp _ _ := rfl
bind_map _ _ := rfl
pure_bind _ _ := rfl
bind_assoc _ _ _ := rfl
#align filter.is_lawful_monad Filter.lawfulMonad
end
instance : Alternative Filter where
seq := fun x y => x.seq (y ())
failure := ⊥
orElse x y := x ⊔ y ()
@[simp]
theorem map_def {α β} (m : α → β) (f : Filter α) : m <$> f = map m f :=
rfl
#align filter.map_def Filter.map_def
@[simp]
theorem bind_def {α β} (f : Filter α) (m : α → Filter β) : f >>= m = bind f m :=
rfl
#align filter.bind_def Filter.bind_def
section Map
variable {f f₁ f₂ : Filter α} {g g₁ g₂ : Filter β} {m : α → β} {m' : β → γ} {s : Set α} {t : Set β}
@[simp] theorem mem_comap : s ∈ comap m g ↔ ∃ t ∈ g, m ⁻¹' t ⊆ s := Iff.rfl
#align filter.mem_comap Filter.mem_comap
theorem preimage_mem_comap (ht : t ∈ g) : m ⁻¹' t ∈ comap m g :=
⟨t, ht, Subset.rfl⟩
#align filter.preimage_mem_comap Filter.preimage_mem_comap
theorem Eventually.comap {p : β → Prop} (hf : ∀ᶠ b in g, p b) (f : α → β) :
∀ᶠ a in comap f g, p (f a) :=
preimage_mem_comap hf
#align filter.eventually.comap Filter.Eventually.comap
theorem comap_id : comap id f = f :=
le_antisymm (fun _ => preimage_mem_comap) fun _ ⟨_, ht, hst⟩ => mem_of_superset ht hst
#align filter.comap_id Filter.comap_id
theorem comap_id' : comap (fun x => x) f = f := comap_id
#align filter.comap_id' Filter.comap_id'
theorem comap_const_of_not_mem {x : β} (ht : t ∈ g) (hx : x ∉ t) : comap (fun _ : α => x) g = ⊥ :=
empty_mem_iff_bot.1 <| mem_comap'.2 <| mem_of_superset ht fun _ hx' _ h => hx <| h.symm ▸ hx'
#align filter.comap_const_of_not_mem Filter.comap_const_of_not_mem
theorem comap_const_of_mem {x : β} (h : ∀ t ∈ g, x ∈ t) : comap (fun _ : α => x) g = ⊤ :=
top_unique fun _ hs => univ_mem' fun _ => h _ (mem_comap'.1 hs) rfl
#align filter.comap_const_of_mem Filter.comap_const_of_mem
theorem map_const [NeBot f] {c : β} : (f.map fun _ => c) = pure c := by
ext s
by_cases h : c ∈ s <;> simp [h]
#align filter.map_const Filter.map_const
theorem comap_comap {m : γ → β} {n : β → α} : comap m (comap n f) = comap (n ∘ m) f :=
Filter.coext fun s => by simp only [compl_mem_comap, image_image, (· ∘ ·)]
#align filter.comap_comap Filter.comap_comap
theorem _root_.Function.Semiconj.filter_map {f : α → β} {ga : α → α} {gb : β → β}
(h : Function.Semiconj f ga gb) : Function.Semiconj (map f) (map ga) (map gb) :=
map_comm h.comp_eq
#align function.semiconj.filter_map Function.Semiconj.filter_map
theorem _root_.Function.Commute.filter_map {f g : α → α} (h : Function.Commute f g) :
Function.Commute (map f) (map g) :=
h.semiconj.filter_map
#align function.commute.filter_map Function.Commute.filter_map
theorem _root_.Function.Semiconj.filter_comap {f : α → β} {ga : α → α} {gb : β → β}
(h : Function.Semiconj f ga gb) : Function.Semiconj (comap f) (comap gb) (comap ga) :=
comap_comm h.comp_eq.symm
#align function.semiconj.filter_comap Function.Semiconj.filter_comap
theorem _root_.Function.Commute.filter_comap {f g : α → α} (h : Function.Commute f g) :
Function.Commute (comap f) (comap g) :=
h.semiconj.filter_comap
#align function.commute.filter_comap Function.Commute.filter_comap
section
open Filter
theorem _root_.Function.LeftInverse.filter_map {f : α → β} {g : β → α} (hfg : LeftInverse g f) :
LeftInverse (map g) (map f) := fun F ↦ by
rw [map_map, hfg.comp_eq_id, map_id]
theorem _root_.Function.LeftInverse.filter_comap {f : α → β} {g : β → α} (hfg : LeftInverse g f) :
RightInverse (comap g) (comap f) := fun F ↦ by
rw [comap_comap, hfg.comp_eq_id, comap_id]
nonrec theorem _root_.Function.RightInverse.filter_map {f : α → β} {g : β → α}
(hfg : RightInverse g f) : RightInverse (map g) (map f) :=
hfg.filter_map
nonrec theorem _root_.Function.RightInverse.filter_comap {f : α → β} {g : β → α}
(hfg : RightInverse g f) : LeftInverse (comap g) (comap f) :=
hfg.filter_comap
theorem _root_.Set.LeftInvOn.filter_map_Iic {f : α → β} {g : β → α} (hfg : LeftInvOn g f s) :
LeftInvOn (map g) (map f) (Iic <| 𝓟 s) := fun F (hF : F ≤ 𝓟 s) ↦ by
have : (g ∘ f) =ᶠ[𝓟 s] id := by simpa only [eventuallyEq_principal] using hfg
rw [map_map, map_congr (this.filter_mono hF), map_id]
nonrec theorem _root_.Set.RightInvOn.filter_map_Iic {f : α → β} {g : β → α}
(hfg : RightInvOn g f t) : RightInvOn (map g) (map f) (Iic <| 𝓟 t) :=
hfg.filter_map_Iic
end
@[simp]
theorem comap_principal {t : Set β} : comap m (𝓟 t) = 𝓟 (m ⁻¹' t) :=
Filter.ext fun _ => ⟨fun ⟨_u, hu, b⟩ => (preimage_mono hu).trans b,
fun h => ⟨t, Subset.rfl, h⟩⟩
#align filter.comap_principal Filter.comap_principal
theorem principal_subtype {α : Type*} (s : Set α) (t : Set s) :
𝓟 t = comap (↑) (𝓟 (((↑) : s → α) '' t)) := by
rw [comap_principal, preimage_image_eq _ Subtype.coe_injective]
#align principal_subtype Filter.principal_subtype
@[simp]
theorem comap_pure {b : β} : comap m (pure b) = 𝓟 (m ⁻¹' {b}) := by
rw [← principal_singleton, comap_principal]
#align filter.comap_pure Filter.comap_pure
theorem map_le_iff_le_comap : map m f ≤ g ↔ f ≤ comap m g :=
⟨fun h _ ⟨_, ht, hts⟩ => mem_of_superset (h ht) hts, fun h _ ht => h ⟨_, ht, Subset.rfl⟩⟩
#align filter.map_le_iff_le_comap Filter.map_le_iff_le_comap
theorem gc_map_comap (m : α → β) : GaloisConnection (map m) (comap m) :=
fun _ _ => map_le_iff_le_comap
#align filter.gc_map_comap Filter.gc_map_comap
theorem comap_le_iff_le_kernMap : comap m g ≤ f ↔ g ≤ kernMap m f := by
simp [Filter.le_def, mem_comap'', mem_kernMap, -mem_comap]
theorem gc_comap_kernMap (m : α → β) : GaloisConnection (comap m) (kernMap m) :=
fun _ _ ↦ comap_le_iff_le_kernMap
theorem kernMap_principal {s : Set α} : kernMap m (𝓟 s) = 𝓟 (kernImage m s) := by
refine eq_of_forall_le_iff (fun g ↦ ?_)
rw [← comap_le_iff_le_kernMap, le_principal_iff, le_principal_iff, mem_comap'']
@[mono]
theorem map_mono : Monotone (map m) :=
(gc_map_comap m).monotone_l
#align filter.map_mono Filter.map_mono
@[mono]
theorem comap_mono : Monotone (comap m) :=
(gc_map_comap m).monotone_u
#align filter.comap_mono Filter.comap_mono
@[gcongr, deprecated] theorem map_le_map (h : F ≤ G) : map m F ≤ map m G := map_mono h
@[gcongr, deprecated] theorem comap_le_comap (h : F ≤ G) : comap m F ≤ comap m G := comap_mono h
@[simp] theorem map_bot : map m ⊥ = ⊥ := (gc_map_comap m).l_bot
#align filter.map_bot Filter.map_bot
@[simp] theorem map_sup : map m (f₁ ⊔ f₂) = map m f₁ ⊔ map m f₂ := (gc_map_comap m).l_sup
#align filter.map_sup Filter.map_sup
@[simp]
theorem map_iSup {f : ι → Filter α} : map m (⨆ i, f i) = ⨆ i, map m (f i) :=
(gc_map_comap m).l_iSup
#align filter.map_supr Filter.map_iSup
@[simp]
theorem map_top (f : α → β) : map f ⊤ = 𝓟 (range f) := by
rw [← principal_univ, map_principal, image_univ]
#align filter.map_top Filter.map_top
@[simp] theorem comap_top : comap m ⊤ = ⊤ := (gc_map_comap m).u_top
#align filter.comap_top Filter.comap_top
@[simp] theorem comap_inf : comap m (g₁ ⊓ g₂) = comap m g₁ ⊓ comap m g₂ := (gc_map_comap m).u_inf
#align filter.comap_inf Filter.comap_inf
@[simp]
theorem comap_iInf {f : ι → Filter β} : comap m (⨅ i, f i) = ⨅ i, comap m (f i) :=
(gc_map_comap m).u_iInf
#align filter.comap_infi Filter.comap_iInf
theorem le_comap_top (f : α → β) (l : Filter α) : l ≤ comap f ⊤ := by
rw [comap_top]
exact le_top
#align filter.le_comap_top Filter.le_comap_top
theorem map_comap_le : map m (comap m g) ≤ g :=
(gc_map_comap m).l_u_le _
#align filter.map_comap_le Filter.map_comap_le
theorem le_comap_map : f ≤ comap m (map m f) :=
(gc_map_comap m).le_u_l _
#align filter.le_comap_map Filter.le_comap_map
@[simp]
theorem comap_bot : comap m ⊥ = ⊥ :=
bot_unique fun s _ => ⟨∅, mem_bot, by simp only [empty_subset, preimage_empty]⟩
#align filter.comap_bot Filter.comap_bot
theorem neBot_of_comap (h : (comap m g).NeBot) : g.NeBot := by
rw [neBot_iff] at *
contrapose! h
rw [h]
exact comap_bot
#align filter.ne_bot_of_comap Filter.neBot_of_comap
theorem comap_inf_principal_range : comap m (g ⊓ 𝓟 (range m)) = comap m g := by
simp
#align filter.comap_inf_principal_range Filter.comap_inf_principal_range
theorem disjoint_comap (h : Disjoint g₁ g₂) : Disjoint (comap m g₁) (comap m g₂) := by
simp only [disjoint_iff, ← comap_inf, h.eq_bot, comap_bot]
#align filter.disjoint_comap Filter.disjoint_comap
theorem comap_iSup {ι} {f : ι → Filter β} {m : α → β} : comap m (iSup f) = ⨆ i, comap m (f i) :=
(gc_comap_kernMap m).l_iSup
#align filter.comap_supr Filter.comap_iSup
theorem comap_sSup {s : Set (Filter β)} {m : α → β} : comap m (sSup s) = ⨆ f ∈ s, comap m f := by
simp only [sSup_eq_iSup, comap_iSup, eq_self_iff_true]
#align filter.comap_Sup Filter.comap_sSup
theorem comap_sup : comap m (g₁ ⊔ g₂) = comap m g₁ ⊔ comap m g₂ := by
rw [sup_eq_iSup, comap_iSup, iSup_bool_eq, Bool.cond_true, Bool.cond_false]
#align filter.comap_sup Filter.comap_sup
theorem map_comap (f : Filter β) (m : α → β) : (f.comap m).map m = f ⊓ 𝓟 (range m) := by
refine le_antisymm (le_inf map_comap_le <| le_principal_iff.2 range_mem_map) ?_
rintro t' ⟨t, ht, sub⟩
refine mem_inf_principal.2 (mem_of_superset ht ?_)
rintro _ hxt ⟨x, rfl⟩
exact sub hxt
#align filter.map_comap Filter.map_comap
theorem map_comap_setCoe_val (f : Filter β) (s : Set β) :
(f.comap ((↑) : s → β)).map (↑) = f ⊓ 𝓟 s := by
rw [map_comap, Subtype.range_val]
theorem map_comap_of_mem {f : Filter β} {m : α → β} (hf : range m ∈ f) : (f.comap m).map m = f := by
rw [map_comap, inf_eq_left.2 (le_principal_iff.2 hf)]
#align filter.map_comap_of_mem Filter.map_comap_of_mem
instance canLift (c) (p) [CanLift α β c p] :
CanLift (Filter α) (Filter β) (map c) fun f => ∀ᶠ x : α in f, p x where
prf f hf := ⟨comap c f, map_comap_of_mem <| hf.mono CanLift.prf⟩
#align filter.can_lift Filter.canLift
theorem comap_le_comap_iff {f g : Filter β} {m : α → β} (hf : range m ∈ f) :
comap m f ≤ comap m g ↔ f ≤ g :=
⟨fun h => map_comap_of_mem hf ▸ (map_mono h).trans map_comap_le, fun h => comap_mono h⟩
#align filter.comap_le_comap_iff Filter.comap_le_comap_iff
theorem map_comap_of_surjective {f : α → β} (hf : Surjective f) (l : Filter β) :
map f (comap f l) = l :=
map_comap_of_mem <| by simp only [hf.range_eq, univ_mem]
#align filter.map_comap_of_surjective Filter.map_comap_of_surjective
theorem comap_injective {f : α → β} (hf : Surjective f) : Injective (comap f) :=
LeftInverse.injective <| map_comap_of_surjective hf
theorem _root_.Function.Surjective.filter_map_top {f : α → β} (hf : Surjective f) : map f ⊤ = ⊤ :=
(congr_arg _ comap_top).symm.trans <| map_comap_of_surjective hf ⊤
#align function.surjective.filter_map_top Function.Surjective.filter_map_top
theorem subtype_coe_map_comap (s : Set α) (f : Filter α) :
map ((↑) : s → α) (comap ((↑) : s → α) f) = f ⊓ 𝓟 s := by rw [map_comap, Subtype.range_coe]
#align filter.subtype_coe_map_comap Filter.subtype_coe_map_comap
theorem image_mem_of_mem_comap {f : Filter α} {c : β → α} (h : range c ∈ f) {W : Set β}
(W_in : W ∈ comap c f) : c '' W ∈ f := by
rw [← map_comap_of_mem h]
exact image_mem_map W_in
#align filter.image_mem_of_mem_comap Filter.image_mem_of_mem_comap
theorem image_coe_mem_of_mem_comap {f : Filter α} {U : Set α} (h : U ∈ f) {W : Set U}
(W_in : W ∈ comap ((↑) : U → α) f) : (↑) '' W ∈ f :=
image_mem_of_mem_comap (by simp [h]) W_in
#align filter.image_coe_mem_of_mem_comap Filter.image_coe_mem_of_mem_comap
theorem comap_map {f : Filter α} {m : α → β} (h : Injective m) : comap m (map m f) = f :=
le_antisymm
(fun s hs =>
mem_of_superset (preimage_mem_comap <| image_mem_map hs) <| by
simp only [preimage_image_eq s h, Subset.rfl])
le_comap_map
#align filter.comap_map Filter.comap_map
theorem mem_comap_iff {f : Filter β} {m : α → β} (inj : Injective m) (large : Set.range m ∈ f)
{S : Set α} : S ∈ comap m f ↔ m '' S ∈ f := by
rw [← image_mem_map_iff inj, map_comap_of_mem large]
#align filter.mem_comap_iff Filter.mem_comap_iff
theorem map_le_map_iff_of_injOn {l₁ l₂ : Filter α} {f : α → β} {s : Set α} (h₁ : s ∈ l₁)
(h₂ : s ∈ l₂) (hinj : InjOn f s) : map f l₁ ≤ map f l₂ ↔ l₁ ≤ l₂ :=
⟨fun h _t ht =>
mp_mem h₁ <|
mem_of_superset (h <| image_mem_map (inter_mem h₂ ht)) fun _y ⟨_x, ⟨hxs, hxt⟩, hxy⟩ hys =>
hinj hxs hys hxy ▸ hxt,
fun h => map_mono h⟩
#align filter.map_le_map_iff_of_inj_on Filter.map_le_map_iff_of_injOn
theorem map_le_map_iff {f g : Filter α} {m : α → β} (hm : Injective m) :
map m f ≤ map m g ↔ f ≤ g := by rw [map_le_iff_le_comap, comap_map hm]
#align filter.map_le_map_iff Filter.map_le_map_iff
theorem map_eq_map_iff_of_injOn {f g : Filter α} {m : α → β} {s : Set α} (hsf : s ∈ f) (hsg : s ∈ g)
(hm : InjOn m s) : map m f = map m g ↔ f = g := by
simp only [le_antisymm_iff, map_le_map_iff_of_injOn hsf hsg hm,
map_le_map_iff_of_injOn hsg hsf hm]
#align filter.map_eq_map_iff_of_inj_on Filter.map_eq_map_iff_of_injOn
theorem map_inj {f g : Filter α} {m : α → β} (hm : Injective m) : map m f = map m g ↔ f = g :=
map_eq_map_iff_of_injOn univ_mem univ_mem hm.injOn
#align filter.map_inj Filter.map_inj
theorem map_injective {m : α → β} (hm : Injective m) : Injective (map m) := fun _ _ =>
(map_inj hm).1
#align filter.map_injective Filter.map_injective
theorem comap_neBot_iff {f : Filter β} {m : α → β} : NeBot (comap m f) ↔ ∀ t ∈ f, ∃ a, m a ∈ t := by
simp only [← forall_mem_nonempty_iff_neBot, mem_comap, forall_exists_index, and_imp]
exact ⟨fun h t t_in => h (m ⁻¹' t) t t_in Subset.rfl, fun h s t ht hst => (h t ht).imp hst⟩
#align filter.comap_ne_bot_iff Filter.comap_neBot_iff
theorem comap_neBot {f : Filter β} {m : α → β} (hm : ∀ t ∈ f, ∃ a, m a ∈ t) : NeBot (comap m f) :=
comap_neBot_iff.mpr hm
#align filter.comap_ne_bot Filter.comap_neBot
theorem comap_neBot_iff_frequently {f : Filter β} {m : α → β} :
NeBot (comap m f) ↔ ∃ᶠ y in f, y ∈ range m := by
simp only [comap_neBot_iff, frequently_iff, mem_range, @and_comm (_ ∈ _), exists_exists_eq_and]
#align filter.comap_ne_bot_iff_frequently Filter.comap_neBot_iff_frequently
theorem comap_neBot_iff_compl_range {f : Filter β} {m : α → β} :
NeBot (comap m f) ↔ (range m)ᶜ ∉ f :=
comap_neBot_iff_frequently
#align filter.comap_ne_bot_iff_compl_range Filter.comap_neBot_iff_compl_range
theorem comap_eq_bot_iff_compl_range {f : Filter β} {m : α → β} : comap m f = ⊥ ↔ (range m)ᶜ ∈ f :=
not_iff_not.mp <| neBot_iff.symm.trans comap_neBot_iff_compl_range
#align filter.comap_eq_bot_iff_compl_range Filter.comap_eq_bot_iff_compl_range
theorem comap_surjective_eq_bot {f : Filter β} {m : α → β} (hm : Surjective m) :
comap m f = ⊥ ↔ f = ⊥ := by
rw [comap_eq_bot_iff_compl_range, hm.range_eq, compl_univ, empty_mem_iff_bot]
#align filter.comap_surjective_eq_bot Filter.comap_surjective_eq_bot
theorem disjoint_comap_iff (h : Surjective m) :
Disjoint (comap m g₁) (comap m g₂) ↔ Disjoint g₁ g₂ := by
rw [disjoint_iff, disjoint_iff, ← comap_inf, comap_surjective_eq_bot h]
#align filter.disjoint_comap_iff Filter.disjoint_comap_iff
theorem NeBot.comap_of_range_mem {f : Filter β} {m : α → β} (_ : NeBot f) (hm : range m ∈ f) :
NeBot (comap m f) :=
comap_neBot_iff_frequently.2 <| Eventually.frequently hm
#align filter.ne_bot.comap_of_range_mem Filter.NeBot.comap_of_range_mem
@[simp]
theorem comap_fst_neBot_iff {f : Filter α} :
(f.comap (Prod.fst : α × β → α)).NeBot ↔ f.NeBot ∧ Nonempty β := by
cases isEmpty_or_nonempty β
· rw [filter_eq_bot_of_isEmpty (f.comap _), ← not_iff_not]; simp [*]
· simp [comap_neBot_iff_frequently, *]
#align filter.comap_fst_ne_bot_iff Filter.comap_fst_neBot_iff
@[instance]
theorem comap_fst_neBot [Nonempty β] {f : Filter α} [NeBot f] :
(f.comap (Prod.fst : α × β → α)).NeBot :=
comap_fst_neBot_iff.2 ⟨‹_›, ‹_›⟩
#align filter.comap_fst_ne_bot Filter.comap_fst_neBot
@[simp]
theorem comap_snd_neBot_iff {f : Filter β} :
(f.comap (Prod.snd : α × β → β)).NeBot ↔ Nonempty α ∧ f.NeBot := by
cases' isEmpty_or_nonempty α with hα hα
· rw [filter_eq_bot_of_isEmpty (f.comap _), ← not_iff_not]; simp
· simp [comap_neBot_iff_frequently, hα]
#align filter.comap_snd_ne_bot_iff Filter.comap_snd_neBot_iff
@[instance]
theorem comap_snd_neBot [Nonempty α] {f : Filter β} [NeBot f] :
(f.comap (Prod.snd : α × β → β)).NeBot :=
comap_snd_neBot_iff.2 ⟨‹_›, ‹_›⟩
#align filter.comap_snd_ne_bot Filter.comap_snd_neBot
| Mathlib/Order/Filter/Basic.lean | 2,628 | 2,634 | theorem comap_eval_neBot_iff' {ι : Type*} {α : ι → Type*} {i : ι} {f : Filter (α i)} :
(comap (eval i) f).NeBot ↔ (∀ j, Nonempty (α j)) ∧ NeBot f := by |
cases' isEmpty_or_nonempty (∀ j, α j) with H H
· rw [filter_eq_bot_of_isEmpty (f.comap _), ← not_iff_not]
simp [← Classical.nonempty_pi]
· have : ∀ j, Nonempty (α j) := Classical.nonempty_pi.1 H
simp [comap_neBot_iff_frequently, *]
|
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Set.Finite
#align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0"
open Function Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*}
namespace Finset
variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ]
[DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ}
{s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ}
def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ :=
(s ×ˢ t).image <| uncurry f
#align finset.image₂ Finset.image₂
@[simp]
theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by
simp [image₂, and_assoc]
#align finset.mem_image₂ Finset.mem_image₂
@[simp, norm_cast]
theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t : Set γ) = Set.image2 f s t :=
Set.ext fun _ => mem_image₂
#align finset.coe_image₂ Finset.coe_image₂
theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t).card ≤ s.card * t.card :=
card_image_le.trans_eq <| card_product _ _
#align finset.card_image₂_le Finset.card_image₂_le
theorem card_image₂_iff :
(image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product]
exact card_image_iff
#align finset.card_image₂_iff Finset.card_image₂_iff
theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) :
(image₂ f s t).card = s.card * t.card :=
(card_image_of_injective _ hf.uncurry).trans <| card_product _ _
#align finset.card_image₂ Finset.card_image₂
theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t :=
mem_image₂.2 ⟨a, ha, b, hb, rfl⟩
#align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem
theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by
rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe]
#align finset.mem_image₂_iff Finset.mem_image₂_iff
theorem image₂_subset (hs : s ⊆ s') (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s' t' := by
rw [← coe_subset, coe_image₂, coe_image₂]
exact image2_subset hs ht
#align finset.image₂_subset Finset.image₂_subset
theorem image₂_subset_left (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s t' :=
image₂_subset Subset.rfl ht
#align finset.image₂_subset_left Finset.image₂_subset_left
theorem image₂_subset_right (hs : s ⊆ s') : image₂ f s t ⊆ image₂ f s' t :=
image₂_subset hs Subset.rfl
#align finset.image₂_subset_right Finset.image₂_subset_right
theorem image_subset_image₂_left (hb : b ∈ t) : s.image (fun a => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ ha => mem_image₂_of_mem ha hb
#align finset.image_subset_image₂_left Finset.image_subset_image₂_left
theorem image_subset_image₂_right (ha : a ∈ s) : t.image (fun b => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ => mem_image₂_of_mem ha
#align finset.image_subset_image₂_right Finset.image_subset_image₂_right
theorem forall_image₂_iff {p : γ → Prop} :
(∀ z ∈ image₂ f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := by
simp_rw [← mem_coe, coe_image₂, forall_image2_iff]
#align finset.forall_image₂_iff Finset.forall_image₂_iff
@[simp]
theorem image₂_subset_iff : image₂ f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image₂_iff
#align finset.image₂_subset_iff Finset.image₂_subset_iff
theorem image₂_subset_iff_left : image₂ f s t ⊆ u ↔ ∀ a ∈ s, (t.image fun b => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff]
#align finset.image₂_subset_iff_left Finset.image₂_subset_iff_left
theorem image₂_subset_iff_right : image₂ f s t ⊆ u ↔ ∀ b ∈ t, (s.image fun a => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff, @forall₂_swap α]
#align finset.image₂_subset_iff_right Finset.image₂_subset_iff_right
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem image₂_nonempty_iff : (image₂ f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := by
rw [← coe_nonempty, coe_image₂]
exact image2_nonempty_iff
#align finset.image₂_nonempty_iff Finset.image₂_nonempty_iff
theorem Nonempty.image₂ (hs : s.Nonempty) (ht : t.Nonempty) : (image₂ f s t).Nonempty :=
image₂_nonempty_iff.2 ⟨hs, ht⟩
#align finset.nonempty.image₂ Finset.Nonempty.image₂
theorem Nonempty.of_image₂_left (h : (s.image₂ f t).Nonempty) : s.Nonempty :=
(image₂_nonempty_iff.1 h).1
#align finset.nonempty.of_image₂_left Finset.Nonempty.of_image₂_left
theorem Nonempty.of_image₂_right (h : (s.image₂ f t).Nonempty) : t.Nonempty :=
(image₂_nonempty_iff.1 h).2
#align finset.nonempty.of_image₂_right Finset.Nonempty.of_image₂_right
@[simp]
theorem image₂_empty_left : image₂ f ∅ t = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_left Finset.image₂_empty_left
@[simp]
theorem image₂_empty_right : image₂ f s ∅ = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_right Finset.image₂_empty_right
@[simp]
theorem image₂_eq_empty_iff : image₂ f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp_rw [← not_nonempty_iff_eq_empty, image₂_nonempty_iff, not_and_or]
#align finset.image₂_eq_empty_iff Finset.image₂_eq_empty_iff
@[simp]
theorem image₂_singleton_left : image₂ f {a} t = t.image fun b => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_left Finset.image₂_singleton_left
@[simp]
theorem image₂_singleton_right : image₂ f s {b} = s.image fun a => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_right Finset.image₂_singleton_right
theorem image₂_singleton_left' : image₂ f {a} t = t.image (f a) :=
image₂_singleton_left
#align finset.image₂_singleton_left' Finset.image₂_singleton_left'
theorem image₂_singleton : image₂ f {a} {b} = {f a b} := by simp
#align finset.image₂_singleton Finset.image₂_singleton
theorem image₂_union_left [DecidableEq α] : image₂ f (s ∪ s') t = image₂ f s t ∪ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_union_left
#align finset.image₂_union_left Finset.image₂_union_left
theorem image₂_union_right [DecidableEq β] : image₂ f s (t ∪ t') = image₂ f s t ∪ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_union_right
#align finset.image₂_union_right Finset.image₂_union_right
@[simp]
theorem image₂_insert_left [DecidableEq α] :
image₂ f (insert a s) t = (t.image fun b => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_left
#align finset.image₂_insert_left Finset.image₂_insert_left
@[simp]
theorem image₂_insert_right [DecidableEq β] :
image₂ f s (insert b t) = (s.image fun a => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_right
#align finset.image₂_insert_right Finset.image₂_insert_right
theorem image₂_inter_left [DecidableEq α] (hf : Injective2 f) :
image₂ f (s ∩ s') t = image₂ f s t ∩ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_inter_left hf
#align finset.image₂_inter_left Finset.image₂_inter_left
theorem image₂_inter_right [DecidableEq β] (hf : Injective2 f) :
image₂ f s (t ∩ t') = image₂ f s t ∩ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_inter_right hf
#align finset.image₂_inter_right Finset.image₂_inter_right
theorem image₂_inter_subset_left [DecidableEq α] :
image₂ f (s ∩ s') t ⊆ image₂ f s t ∩ image₂ f s' t :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_left
#align finset.image₂_inter_subset_left Finset.image₂_inter_subset_left
theorem image₂_inter_subset_right [DecidableEq β] :
image₂ f s (t ∩ t') ⊆ image₂ f s t ∩ image₂ f s t' :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_right
#align finset.image₂_inter_subset_right Finset.image₂_inter_subset_right
theorem image₂_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
coe_injective <| by
push_cast
exact image2_congr h
#align finset.image₂_congr Finset.image₂_congr
theorem image₂_congr' (h : ∀ a b, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
image₂_congr fun a _ b _ => h a b
#align finset.image₂_congr' Finset.image₂_congr'
variable (s t)
theorem card_image₂_singleton_left (hf : Injective (f a)) : (image₂ f {a} t).card = t.card := by
rw [image₂_singleton_left, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_left Finset.card_image₂_singleton_left
theorem card_image₂_singleton_right (hf : Injective fun a => f a b) :
(image₂ f s {b}).card = s.card := by rw [image₂_singleton_right, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_right Finset.card_image₂_singleton_right
theorem image₂_singleton_inter [DecidableEq β] (t₁ t₂ : Finset β) (hf : Injective (f a)) :
image₂ f {a} (t₁ ∩ t₂) = image₂ f {a} t₁ ∩ image₂ f {a} t₂ := by
simp_rw [image₂_singleton_left, image_inter _ _ hf]
#align finset.image₂_singleton_inter Finset.image₂_singleton_inter
theorem image₂_inter_singleton [DecidableEq α] (s₁ s₂ : Finset α) (hf : Injective fun a => f a b) :
image₂ f (s₁ ∩ s₂) {b} = image₂ f s₁ {b} ∩ image₂ f s₂ {b} := by
simp_rw [image₂_singleton_right, image_inter _ _ hf]
#align finset.image₂_inter_singleton Finset.image₂_inter_singleton
theorem card_le_card_image₂_left {s : Finset α} (hs : s.Nonempty) (hf : ∀ a, Injective (f a)) :
t.card ≤ (image₂ f s t).card := by
obtain ⟨a, ha⟩ := hs
rw [← card_image₂_singleton_left _ (hf a)]
exact card_le_card (image₂_subset_right <| singleton_subset_iff.2 ha)
#align finset.card_le_card_image₂_left Finset.card_le_card_image₂_left
theorem card_le_card_image₂_right {t : Finset β} (ht : t.Nonempty)
(hf : ∀ b, Injective fun a => f a b) : s.card ≤ (image₂ f s t).card := by
obtain ⟨b, hb⟩ := ht
rw [← card_image₂_singleton_right _ (hf b)]
exact card_le_card (image₂_subset_left <| singleton_subset_iff.2 hb)
#align finset.card_le_card_image₂_right Finset.card_le_card_image₂_right
variable {s t}
theorem biUnion_image_left : (s.biUnion fun a => t.image <| f a) = image₂ f s t :=
coe_injective <| by
push_cast
exact Set.iUnion_image_left _
#align finset.bUnion_image_left Finset.biUnion_image_left
theorem biUnion_image_right : (t.biUnion fun b => s.image fun a => f a b) = image₂ f s t :=
coe_injective <| by
push_cast
exact Set.iUnion_image_right _
#align finset.bUnion_image_right Finset.biUnion_image_right
theorem image_image₂ (f : α → β → γ) (g : γ → δ) :
(image₂ f s t).image g = image₂ (fun a b => g (f a b)) s t :=
coe_injective <| by
push_cast
exact image_image2 _ _
#align finset.image_image₂ Finset.image_image₂
theorem image₂_image_left (f : γ → β → δ) (g : α → γ) :
image₂ f (s.image g) t = image₂ (fun a b => f (g a) b) s t :=
coe_injective <| by
push_cast
exact image2_image_left _ _
#align finset.image₂_image_left Finset.image₂_image_left
theorem image₂_image_right (f : α → γ → δ) (g : β → γ) :
image₂ f s (t.image g) = image₂ (fun a b => f a (g b)) s t :=
coe_injective <| by
push_cast
exact image2_image_right _ _
#align finset.image₂_image_right Finset.image₂_image_right
@[simp]
theorem image₂_mk_eq_product [DecidableEq α] [DecidableEq β] (s : Finset α) (t : Finset β) :
image₂ Prod.mk s t = s ×ˢ t := by ext; simp [Prod.ext_iff]
#align finset.image₂_mk_eq_product Finset.image₂_mk_eq_product
@[simp]
theorem image₂_curry (f : α × β → γ) (s : Finset α) (t : Finset β) :
image₂ (curry f) s t = (s ×ˢ t).image f := rfl
#align finset.image₂_curry Finset.image₂_curry
@[simp]
theorem image_uncurry_product (f : α → β → γ) (s : Finset α) (t : Finset β) :
(s ×ˢ t).image (uncurry f) = image₂ f s t := rfl
#align finset.image_uncurry_product Finset.image_uncurry_product
theorem image₂_swap (f : α → β → γ) (s : Finset α) (t : Finset β) :
image₂ f s t = image₂ (fun a b => f b a) t s :=
coe_injective <| by
push_cast
exact image2_swap _ _ _
#align finset.image₂_swap Finset.image₂_swap
@[simp]
theorem image₂_left [DecidableEq α] (h : t.Nonempty) : image₂ (fun x _ => x) s t = s :=
coe_injective <| by
push_cast
exact image2_left h
#align finset.image₂_left Finset.image₂_left
@[simp]
theorem image₂_right [DecidableEq β] (h : s.Nonempty) : image₂ (fun _ y => y) s t = t :=
coe_injective <| by
push_cast
exact image2_right h
#align finset.image₂_right Finset.image₂_right
theorem image₂_assoc {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε}
{g' : β → γ → ε'} (h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) :
image₂ f (image₂ g s t) u = image₂ f' s (image₂ g' t u) :=
coe_injective <| by
push_cast
exact image2_assoc h_assoc
#align finset.image₂_assoc Finset.image₂_assoc
theorem image₂_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image₂ f s t = image₂ g t s :=
(image₂_swap _ _ _).trans <| by simp_rw [h_comm]
#align finset.image₂_comm Finset.image₂_comm
theorem image₂_left_comm {γ : Type*} {u : Finset γ} {f : α → δ → ε} {g : β → γ → δ}
{f' : α → γ → δ'} {g' : β → δ' → ε} (h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) :
image₂ f s (image₂ g t u) = image₂ g' t (image₂ f' s u) :=
coe_injective <| by
push_cast
exact image2_left_comm h_left_comm
#align finset.image₂_left_comm Finset.image₂_left_comm
theorem image₂_right_comm {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ}
{f' : α → γ → δ'} {g' : δ' → β → ε} (h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) :
image₂ f (image₂ g s t) u = image₂ g' (image₂ f' s u) t :=
coe_injective <| by
push_cast
exact image2_right_comm h_right_comm
#align finset.image₂_right_comm Finset.image₂_right_comm
theorem image₂_image₂_image₂_comm {γ δ : Type*} {u : Finset γ} {v : Finset δ} [DecidableEq ζ]
[DecidableEq ζ'] [DecidableEq ν] {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ}
{f' : ε' → ζ' → ν} {g' : α → γ → ε'} {h' : β → δ → ζ'}
(h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) :
image₂ f (image₂ g s t) (image₂ h u v) = image₂ f' (image₂ g' s u) (image₂ h' t v) :=
coe_injective <| by
push_cast
exact image2_image2_image2_comm h_comm
#align finset.image₂_image₂_image₂_comm Finset.image₂_image₂_image₂_comm
theorem image_image₂_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) :
(image₂ f s t).image g = image₂ f' (s.image g₁) (t.image g₂) :=
coe_injective <| by
push_cast
exact image_image2_distrib h_distrib
#align finset.image_image₂_distrib Finset.image_image₂_distrib
theorem image_image₂_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'}
(h_distrib : ∀ a b, g (f a b) = f' (g' a) b) :
(image₂ f s t).image g = image₂ f' (s.image g') t :=
coe_injective <| by
push_cast
exact image_image2_distrib_left h_distrib
#align finset.image_image₂_distrib_left Finset.image_image₂_distrib_left
theorem image_image₂_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' a (g' b)) :
(image₂ f s t).image g = image₂ f' s (t.image g') :=
coe_injective <| by
push_cast
exact image_image2_distrib_right h_distrib
#align finset.image_image₂_distrib_right Finset.image_image₂_distrib_right
theorem image₂_image_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ}
(h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) :
image₂ f (s.image g) t = (image₂ f' s t).image g' :=
(image_image₂_distrib_left fun a b => (h_left_comm a b).symm).symm
#align finset.image₂_image_left_comm Finset.image₂_image_left_comm
theorem image_image₂_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ}
(h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) :
image₂ f s (t.image g) = (image₂ f' s t).image g' :=
(image_image₂_distrib_right fun a b => (h_right_comm a b).symm).symm
#align finset.image_image₂_right_comm Finset.image_image₂_right_comm
theorem image₂_distrib_subset_left {γ : Type*} {u : Finset γ} {f : α → δ → ε} {g : β → γ → δ}
{f₁ : α → β → β'} {f₂ : α → γ → γ'} {g' : β' → γ' → ε}
(h_distrib : ∀ a b c, f a (g b c) = g' (f₁ a b) (f₂ a c)) :
image₂ f s (image₂ g t u) ⊆ image₂ g' (image₂ f₁ s t) (image₂ f₂ s u) :=
coe_subset.1 <| by
push_cast
exact Set.image2_distrib_subset_left h_distrib
#align finset.image₂_distrib_subset_left Finset.image₂_distrib_subset_left
theorem image₂_distrib_subset_right {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ}
{f₁ : α → γ → α'} {f₂ : β → γ → β'} {g' : α' → β' → ε}
(h_distrib : ∀ a b c, f (g a b) c = g' (f₁ a c) (f₂ b c)) :
image₂ f (image₂ g s t) u ⊆ image₂ g' (image₂ f₁ s u) (image₂ f₂ t u) :=
coe_subset.1 <| by
push_cast
exact Set.image2_distrib_subset_right h_distrib
#align finset.image₂_distrib_subset_right Finset.image₂_distrib_subset_right
theorem image_image₂_antidistrib {g : γ → δ} {f' : β' → α' → δ} {g₁ : β → β'} {g₂ : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g₁ b) (g₂ a)) :
(image₂ f s t).image g = image₂ f' (t.image g₁) (s.image g₂) := by
rw [image₂_swap f]
exact image_image₂_distrib fun _ _ => h_antidistrib _ _
#align finset.image_image₂_antidistrib Finset.image_image₂_antidistrib
theorem image_image₂_antidistrib_left {g : γ → δ} {f' : β' → α → δ} {g' : β → β'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g' b) a) :
(image₂ f s t).image g = image₂ f' (t.image g') s :=
coe_injective <| by
push_cast
exact image_image2_antidistrib_left h_antidistrib
#align finset.image_image₂_antidistrib_left Finset.image_image₂_antidistrib_left
theorem image_image₂_antidistrib_right {g : γ → δ} {f' : β → α' → δ} {g' : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' b (g' a)) :
(image₂ f s t).image g = image₂ f' t (s.image g') :=
coe_injective <| by
push_cast
exact image_image2_antidistrib_right h_antidistrib
#align finset.image_image₂_antidistrib_right Finset.image_image₂_antidistrib_right
theorem image₂_image_left_anticomm {f : α' → β → γ} {g : α → α'} {f' : β → α → δ} {g' : δ → γ}
(h_left_anticomm : ∀ a b, f (g a) b = g' (f' b a)) :
image₂ f (s.image g) t = (image₂ f' t s).image g' :=
(image_image₂_antidistrib_left fun a b => (h_left_anticomm b a).symm).symm
#align finset.image₂_image_left_anticomm Finset.image₂_image_left_anticomm
theorem image_image₂_right_anticomm {f : α → β' → γ} {g : β → β'} {f' : β → α → δ} {g' : δ → γ}
(h_right_anticomm : ∀ a b, f a (g b) = g' (f' b a)) :
image₂ f s (t.image g) = (image₂ f' t s).image g' :=
(image_image₂_antidistrib_right fun a b => (h_right_anticomm b a).symm).symm
#align finset.image_image₂_right_anticomm Finset.image_image₂_right_anticomm
theorem image₂_left_identity {f : α → γ → γ} {a : α} (h : ∀ b, f a b = b) (t : Finset γ) :
image₂ f {a} t = t :=
coe_injective <| by rw [coe_image₂, coe_singleton, Set.image2_left_identity h]
#align finset.image₂_left_identity Finset.image₂_left_identity
| Mathlib/Data/Finset/NAry.lean | 494 | 495 | theorem image₂_right_identity {f : γ → β → γ} {b : β} (h : ∀ a, f a b = a) (s : Finset γ) :
image₂ f s {b} = s := by | rw [image₂_singleton_right, funext h, image_id']
|
import Mathlib.SetTheory.Ordinal.Arithmetic
import Mathlib.Tactic.Abel
#align_import set_theory.ordinal.natural_ops from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
set_option autoImplicit true
universe u v
open Function Order
noncomputable section
def NatOrdinal : Type _ :=
-- Porting note: used to derive LinearOrder & SuccOrder but need to manually define
Ordinal deriving Zero, Inhabited, One, WellFoundedRelation
#align nat_ordinal NatOrdinal
instance NatOrdinal.linearOrder : LinearOrder NatOrdinal := {Ordinal.linearOrder with}
instance NatOrdinal.succOrder : SuccOrder NatOrdinal := {Ordinal.succOrder with}
@[match_pattern]
def Ordinal.toNatOrdinal : Ordinal ≃o NatOrdinal :=
OrderIso.refl _
#align ordinal.to_nat_ordinal Ordinal.toNatOrdinal
@[match_pattern]
def NatOrdinal.toOrdinal : NatOrdinal ≃o Ordinal :=
OrderIso.refl _
#align nat_ordinal.to_ordinal NatOrdinal.toOrdinal
namespace Ordinal
variable {a b c : Ordinal.{u}}
@[simp]
theorem toNatOrdinal_symm_eq : toNatOrdinal.symm = NatOrdinal.toOrdinal :=
rfl
#align ordinal.to_nat_ordinal_symm_eq Ordinal.toNatOrdinal_symm_eq
@[simp]
theorem toNatOrdinal_toOrdinal (a : Ordinal) : NatOrdinal.toOrdinal (toNatOrdinal a) = a :=
rfl
#align ordinal.to_nat_ordinal_to_ordinal Ordinal.toNatOrdinal_toOrdinal
@[simp]
theorem toNatOrdinal_zero : toNatOrdinal 0 = 0 :=
rfl
#align ordinal.to_nat_ordinal_zero Ordinal.toNatOrdinal_zero
@[simp]
theorem toNatOrdinal_one : toNatOrdinal 1 = 1 :=
rfl
#align ordinal.to_nat_ordinal_one Ordinal.toNatOrdinal_one
@[simp]
theorem toNatOrdinal_eq_zero (a) : toNatOrdinal a = 0 ↔ a = 0 :=
Iff.rfl
#align ordinal.to_nat_ordinal_eq_zero Ordinal.toNatOrdinal_eq_zero
@[simp]
theorem toNatOrdinal_eq_one (a) : toNatOrdinal a = 1 ↔ a = 1 :=
Iff.rfl
#align ordinal.to_nat_ordinal_eq_one Ordinal.toNatOrdinal_eq_one
@[simp]
theorem toNatOrdinal_max (a b : Ordinal) :
toNatOrdinal (max a b) = max (toNatOrdinal a) (toNatOrdinal b) :=
rfl
#align ordinal.to_nat_ordinal_max Ordinal.toNatOrdinal_max
@[simp]
theorem toNatOrdinal_min (a b : Ordinal) :
toNatOrdinal (linearOrder.min a b) = linearOrder.min (toNatOrdinal a) (toNatOrdinal b) :=
rfl
#align ordinal.to_nat_ordinal_min Ordinal.toNatOrdinal_min
noncomputable def nadd : Ordinal → Ordinal → Ordinal
| a, b =>
max (blsub.{u, u} a fun a' _ => nadd a' b) (blsub.{u, u} b fun b' _ => nadd a b')
termination_by o₁ o₂ => (o₁, o₂)
#align ordinal.nadd Ordinal.nadd
@[inherit_doc]
scoped[NaturalOps] infixl:65 " ♯ " => Ordinal.nadd
open NaturalOps
noncomputable def nmul : Ordinal.{u} → Ordinal.{u} → Ordinal.{u}
| a, b => sInf {c | ∀ a' < a, ∀ b' < b, nmul a' b ♯ nmul a b' < c ♯ nmul a' b'}
termination_by a b => (a, b)
#align ordinal.nmul Ordinal.nmul
@[inherit_doc]
scoped[NaturalOps] infixl:70 " ⨳ " => Ordinal.nmul
theorem nadd_def (a b : Ordinal) :
a ♯ b = max (blsub.{u, u} a fun a' _ => a' ♯ b) (blsub.{u, u} b fun b' _ => a ♯ b') := by
rw [nadd]
#align ordinal.nadd_def Ordinal.nadd_def
theorem lt_nadd_iff : a < b ♯ c ↔ (∃ b' < b, a ≤ b' ♯ c) ∨ ∃ c' < c, a ≤ b ♯ c' := by
rw [nadd_def]
simp [lt_blsub_iff]
#align ordinal.lt_nadd_iff Ordinal.lt_nadd_iff
theorem nadd_le_iff : b ♯ c ≤ a ↔ (∀ b' < b, b' ♯ c < a) ∧ ∀ c' < c, b ♯ c' < a := by
rw [nadd_def]
simp [blsub_le_iff]
#align ordinal.nadd_le_iff Ordinal.nadd_le_iff
theorem nadd_lt_nadd_left (h : b < c) (a) : a ♯ b < a ♯ c :=
lt_nadd_iff.2 (Or.inr ⟨b, h, le_rfl⟩)
#align ordinal.nadd_lt_nadd_left Ordinal.nadd_lt_nadd_left
theorem nadd_lt_nadd_right (h : b < c) (a) : b ♯ a < c ♯ a :=
lt_nadd_iff.2 (Or.inl ⟨b, h, le_rfl⟩)
#align ordinal.nadd_lt_nadd_right Ordinal.nadd_lt_nadd_right
theorem nadd_le_nadd_left (h : b ≤ c) (a) : a ♯ b ≤ a ♯ c := by
rcases lt_or_eq_of_le h with (h | rfl)
· exact (nadd_lt_nadd_left h a).le
· exact le_rfl
#align ordinal.nadd_le_nadd_left Ordinal.nadd_le_nadd_left
theorem nadd_le_nadd_right (h : b ≤ c) (a) : b ♯ a ≤ c ♯ a := by
rcases lt_or_eq_of_le h with (h | rfl)
· exact (nadd_lt_nadd_right h a).le
· exact le_rfl
#align ordinal.nadd_le_nadd_right Ordinal.nadd_le_nadd_right
variable (a b)
theorem nadd_comm : ∀ a b, a ♯ b = b ♯ a
| a, b => by
rw [nadd_def, nadd_def, max_comm]
congr <;> ext <;> apply nadd_comm
termination_by a b => (a,b)
#align ordinal.nadd_comm Ordinal.nadd_comm
theorem blsub_nadd_of_mono {f : ∀ c < a ♯ b, Ordinal.{max u v}}
(hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) :
-- Porting note: needed to add universe hint blsub.{u,v} in the line below
blsub.{u,v} _ f =
max (blsub.{u, v} a fun a' ha' => f (a' ♯ b) <| nadd_lt_nadd_right ha' b)
(blsub.{u, v} b fun b' hb' => f (a ♯ b') <| nadd_lt_nadd_left hb' a) := by
apply (blsub_le_iff.2 fun i h => _).antisymm (max_le _ _)
· intro i h
rcases lt_nadd_iff.1 h with (⟨a', ha', hi⟩ | ⟨b', hb', hi⟩)
· exact lt_max_of_lt_left ((hf h (nadd_lt_nadd_right ha' b) hi).trans_lt (lt_blsub _ _ ha'))
· exact lt_max_of_lt_right ((hf h (nadd_lt_nadd_left hb' a) hi).trans_lt (lt_blsub _ _ hb'))
all_goals
apply blsub_le_of_brange_subset.{u, u, v}
rintro c ⟨d, hd, rfl⟩
apply mem_brange_self
#align ordinal.blsub_nadd_of_mono Ordinal.blsub_nadd_of_mono
theorem nadd_assoc (a b c) : a ♯ b ♯ c = a ♯ (b ♯ c) := by
rw [nadd_def a (b ♯ c), nadd_def, blsub_nadd_of_mono, blsub_nadd_of_mono, max_assoc]
· congr <;> ext <;> apply nadd_assoc
· exact fun _ _ h => nadd_le_nadd_left h a
· exact fun _ _ h => nadd_le_nadd_right h c
termination_by (a, b, c)
#align ordinal.nadd_assoc Ordinal.nadd_assoc
@[simp]
theorem nadd_zero : a ♯ 0 = a := by
induction' a using Ordinal.induction with a IH
rw [nadd_def, blsub_zero, max_zero_right]
convert blsub_id a
rename_i hb
exact IH _ hb
#align ordinal.nadd_zero Ordinal.nadd_zero
@[simp]
theorem zero_nadd : 0 ♯ a = a := by rw [nadd_comm, nadd_zero]
#align ordinal.zero_nadd Ordinal.zero_nadd
@[simp]
theorem nadd_one : a ♯ 1 = succ a := by
induction' a using Ordinal.induction with a IH
rw [nadd_def, blsub_one, nadd_zero, max_eq_right_iff, blsub_le_iff]
intro i hi
rwa [IH i hi, succ_lt_succ_iff]
#align ordinal.nadd_one Ordinal.nadd_one
@[simp]
theorem one_nadd : 1 ♯ a = succ a := by rw [nadd_comm, nadd_one]
#align ordinal.one_nadd Ordinal.one_nadd
| Mathlib/SetTheory/Ordinal/NaturalOps.lean | 326 | 326 | theorem nadd_succ : a ♯ succ b = succ (a ♯ b) := by | rw [← nadd_one (a ♯ b), nadd_assoc, nadd_one]
|
import Mathlib.CategoryTheory.NatIso
#align_import category_theory.bicategory.basic from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
namespace CategoryTheory
universe w v u
open Category Iso
-- intended to be used with explicit universe parameters
@[nolint checkUnivs]
class Bicategory (B : Type u) extends CategoryStruct.{v} B where
-- category structure on the collection of 1-morphisms:
homCategory : ∀ a b : B, Category.{w} (a ⟶ b) := by infer_instance
-- left whiskering:
whiskerLeft {a b c : B} (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) : f ≫ g ⟶ f ≫ h
-- right whiskering:
whiskerRight {a b c : B} {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) : f ≫ h ⟶ g ≫ h
-- associator:
associator {a b c d : B} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) : (f ≫ g) ≫ h ≅ f ≫ g ≫ h
-- left unitor:
leftUnitor {a b : B} (f : a ⟶ b) : 𝟙 a ≫ f ≅ f
-- right unitor:
rightUnitor {a b : B} (f : a ⟶ b) : f ≫ 𝟙 b ≅ f
-- axioms for left whiskering:
whiskerLeft_id : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerLeft f (𝟙 g) = 𝟙 (f ≫ g) := by
aesop_cat
whiskerLeft_comp :
∀ {a b c} (f : a ⟶ b) {g h i : b ⟶ c} (η : g ⟶ h) (θ : h ⟶ i),
whiskerLeft f (η ≫ θ) = whiskerLeft f η ≫ whiskerLeft f θ := by
aesop_cat
id_whiskerLeft :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerLeft (𝟙 a) η = (leftUnitor f).hom ≫ η ≫ (leftUnitor g).inv := by
aesop_cat
comp_whiskerLeft :
∀ {a b c d} (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h'),
whiskerLeft (f ≫ g) η =
(associator f g h).hom ≫ whiskerLeft f (whiskerLeft g η) ≫ (associator f g h').inv := by
aesop_cat
-- axioms for right whiskering:
id_whiskerRight : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerRight (𝟙 f) g = 𝟙 (f ≫ g) := by
aesop_cat
comp_whiskerRight :
∀ {a b c} {f g h : a ⟶ b} (η : f ⟶ g) (θ : g ⟶ h) (i : b ⟶ c),
whiskerRight (η ≫ θ) i = whiskerRight η i ≫ whiskerRight θ i := by
aesop_cat
whiskerRight_id :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerRight η (𝟙 b) = (rightUnitor f).hom ≫ η ≫ (rightUnitor g).inv := by
aesop_cat
whiskerRight_comp :
∀ {a b c d} {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d),
whiskerRight η (g ≫ h) =
(associator f g h).inv ≫ whiskerRight (whiskerRight η g) h ≫ (associator f' g h).hom := by
aesop_cat
-- associativity of whiskerings:
whisker_assoc :
∀ {a b c d} (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d),
whiskerRight (whiskerLeft f η) h =
(associator f g h).hom ≫ whiskerLeft f (whiskerRight η h) ≫ (associator f g' h).inv := by
aesop_cat
-- exchange law of left and right whiskerings:
whisker_exchange :
∀ {a b c} {f g : a ⟶ b} {h i : b ⟶ c} (η : f ⟶ g) (θ : h ⟶ i),
whiskerLeft f θ ≫ whiskerRight η i = whiskerRight η h ≫ whiskerLeft g θ := by
aesop_cat
-- pentagon identity:
pentagon :
∀ {a b c d e} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e),
whiskerRight (associator f g h).hom i ≫
(associator f (g ≫ h) i).hom ≫ whiskerLeft f (associator g h i).hom =
(associator (f ≫ g) h i).hom ≫ (associator f g (h ≫ i)).hom := by
aesop_cat
-- triangle identity:
triangle :
∀ {a b c} (f : a ⟶ b) (g : b ⟶ c),
(associator f (𝟙 b) g).hom ≫ whiskerLeft f (leftUnitor g).hom
= whiskerRight (rightUnitor f).hom g := by
aesop_cat
#align category_theory.bicategory CategoryTheory.Bicategory
#align category_theory.bicategory.hom_category CategoryTheory.Bicategory.homCategory
#align category_theory.bicategory.whisker_left CategoryTheory.Bicategory.whiskerLeft
#align category_theory.bicategory.whisker_right CategoryTheory.Bicategory.whiskerRight
#align category_theory.bicategory.left_unitor CategoryTheory.Bicategory.leftUnitor
#align category_theory.bicategory.right_unitor CategoryTheory.Bicategory.rightUnitor
#align category_theory.bicategory.whisker_left_id' CategoryTheory.Bicategory.whiskerLeft_id
#align category_theory.bicategory.whisker_left_comp' CategoryTheory.Bicategory.whiskerLeft_comp
#align category_theory.bicategory.id_whisker_left' CategoryTheory.Bicategory.id_whiskerLeft
#align category_theory.bicategory.comp_whisker_left' CategoryTheory.Bicategory.comp_whiskerLeft
#align category_theory.bicategory.id_whisker_right' CategoryTheory.Bicategory.id_whiskerRight
#align category_theory.bicategory.comp_whisker_right' CategoryTheory.Bicategory.comp_whiskerRight
#align category_theory.bicategory.whisker_right_id' CategoryTheory.Bicategory.whiskerRight_id
#align category_theory.bicategory.whisker_right_comp' CategoryTheory.Bicategory.whiskerRight_comp
#align category_theory.bicategory.whisker_assoc' CategoryTheory.Bicategory.whisker_assoc
#align category_theory.bicategory.whisker_exchange' CategoryTheory.Bicategory.whisker_exchange
#align category_theory.bicategory.pentagon' CategoryTheory.Bicategory.pentagon
#align category_theory.bicategory.triangle' CategoryTheory.Bicategory.triangle
namespace Bicategory
scoped infixr:81 " ◁ " => Bicategory.whiskerLeft
scoped infixl:81 " ▷ " => Bicategory.whiskerRight
scoped notation "α_" => Bicategory.associator
scoped notation "λ_" => Bicategory.leftUnitor
scoped notation "ρ_" => Bicategory.rightUnitor
attribute [instance] homCategory
attribute [reassoc]
whiskerLeft_comp id_whiskerLeft comp_whiskerLeft comp_whiskerRight whiskerRight_id
whiskerRight_comp whisker_assoc whisker_exchange
attribute [reassoc (attr := simp)] pentagon triangle
attribute [simp]
whiskerLeft_id whiskerLeft_comp id_whiskerLeft comp_whiskerLeft id_whiskerRight comp_whiskerRight
whiskerRight_id whiskerRight_comp whisker_assoc
variable {B : Type u} [Bicategory.{w, v} B] {a b c d e : B}
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.hom ≫ f ◁ η.inv = 𝟙 (f ≫ g) := by rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
#align category_theory.bicategory.hom_inv_whisker_left CategoryTheory.Bicategory.whiskerLeft_hom_inv
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.hom ▷ h ≫ η.inv ▷ h = 𝟙 (f ≫ h) := by rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
#align category_theory.bicategory.hom_inv_whisker_right CategoryTheory.Bicategory.hom_inv_whiskerRight
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.inv ≫ f ◁ η.hom = 𝟙 (f ≫ h) := by rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
#align category_theory.bicategory.inv_hom_whisker_left CategoryTheory.Bicategory.whiskerLeft_inv_hom
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.inv ▷ h ≫ η.hom ▷ h = 𝟙 (g ≫ h) := by rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
#align category_theory.bicategory.inv_hom_whisker_right CategoryTheory.Bicategory.inv_hom_whiskerRight
@[simps]
def whiskerLeftIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ≫ g ≅ f ≫ h where
hom := f ◁ η.hom
inv := f ◁ η.inv
#align category_theory.bicategory.whisker_left_iso CategoryTheory.Bicategory.whiskerLeftIso
instance whiskerLeft_isIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : IsIso (f ◁ η) :=
(whiskerLeftIso f (asIso η)).isIso_hom
#align category_theory.bicategory.whisker_left_is_iso CategoryTheory.Bicategory.whiskerLeft_isIso
@[simp]
theorem inv_whiskerLeft (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] :
inv (f ◁ η) = f ◁ inv η := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← whiskerLeft_comp, whiskerLeft_id, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_left CategoryTheory.Bicategory.inv_whiskerLeft
@[simps!]
def whiskerRightIso {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : f ≫ h ≅ g ≫ h where
hom := η.hom ▷ h
inv := η.inv ▷ h
#align category_theory.bicategory.whisker_right_iso CategoryTheory.Bicategory.whiskerRightIso
instance whiskerRight_isIso {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : IsIso (η ▷ h) :=
(whiskerRightIso (asIso η) h).isIso_hom
#align category_theory.bicategory.whisker_right_is_iso CategoryTheory.Bicategory.whiskerRight_isIso
@[simp]
theorem inv_whiskerRight {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] :
inv (η ▷ h) = inv η ▷ h := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← comp_whiskerRight, id_whiskerRight, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_right CategoryTheory.Bicategory.inv_whiskerRight
@[reassoc (attr := simp)]
theorem pentagon_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i =
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv CategoryTheory.Bicategory.pentagon_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom =
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv := by
rw [← cancel_epi (f ◁ (α_ g h i).inv), ← cancel_mono (α_ (f ≫ g) h i).inv]
simp
#align category_theory.bicategory.pentagon_inv_inv_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom =
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv =
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i := by
simp [← cancel_epi (f ◁ (α_ g h i).inv)]
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_inv CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv =
(α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_hom_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv =
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i := by
rw [← cancel_epi (α_ f g (h ≫ i)).inv, ← cancel_mono ((α_ f g h).inv ▷ i)]
simp
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv =
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom =
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom := by
simp [← cancel_epi ((α_ f g h).hom ▷ i)]
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_hom CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i =
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_inv_hom_inv_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_inv_inv
theorem triangle_assoc_comp_left (f : a ⟶ b) (g : b ⟶ c) :
(α_ f (𝟙 b) g).hom ≫ f ◁ (λ_ g).hom = (ρ_ f).hom ▷ g :=
triangle f g
#align category_theory.bicategory.triangle_assoc_comp_left CategoryTheory.Bicategory.triangle_assoc_comp_left
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right (f : a ⟶ b) (g : b ⟶ c) :
(α_ f (𝟙 b) g).inv ≫ (ρ_ f).hom ▷ g = f ◁ (λ_ g).hom := by rw [← triangle, inv_hom_id_assoc]
#align category_theory.bicategory.triangle_assoc_comp_right CategoryTheory.Bicategory.triangle_assoc_comp_right
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right_inv (f : a ⟶ b) (g : b ⟶ c) :
(ρ_ f).inv ▷ g ≫ (α_ f (𝟙 b) g).hom = f ◁ (λ_ g).inv := by
simp [← cancel_mono (f ◁ (λ_ g).hom)]
#align category_theory.bicategory.triangle_assoc_comp_right_inv CategoryTheory.Bicategory.triangle_assoc_comp_right_inv
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_left_inv (f : a ⟶ b) (g : b ⟶ c) :
f ◁ (λ_ g).inv ≫ (α_ f (𝟙 b) g).inv = (ρ_ f).inv ▷ g := by
simp [← cancel_mono ((ρ_ f).hom ▷ g)]
#align category_theory.bicategory.triangle_assoc_comp_left_inv CategoryTheory.Bicategory.triangle_assoc_comp_left_inv
@[reassoc]
theorem associator_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ g ▷ h ≫ (α_ f' g h).hom = (α_ f g h).hom ≫ η ▷ (g ≫ h) := by simp
#align category_theory.bicategory.associator_naturality_left CategoryTheory.Bicategory.associator_naturality_left
@[reassoc]
theorem associator_inv_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ (g ≫ h) ≫ (α_ f' g h).inv = (α_ f g h).inv ≫ η ▷ g ▷ h := by simp
#align category_theory.bicategory.associator_inv_naturality_left CategoryTheory.Bicategory.associator_inv_naturality_left
@[reassoc]
theorem whiskerRight_comp_symm {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ g ▷ h = (α_ f g h).hom ≫ η ▷ (g ≫ h) ≫ (α_ f' g h).inv := by simp
#align category_theory.bicategory.whisker_right_comp_symm CategoryTheory.Bicategory.whiskerRight_comp_symm
@[reassoc]
theorem associator_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
(f ◁ η) ▷ h ≫ (α_ f g' h).hom = (α_ f g h).hom ≫ f ◁ η ▷ h := by simp
#align category_theory.bicategory.associator_naturality_middle CategoryTheory.Bicategory.associator_naturality_middle
@[reassoc]
theorem associator_inv_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
f ◁ η ▷ h ≫ (α_ f g' h).inv = (α_ f g h).inv ≫ (f ◁ η) ▷ h := by simp
#align category_theory.bicategory.associator_inv_naturality_middle CategoryTheory.Bicategory.associator_inv_naturality_middle
@[reassoc]
theorem whisker_assoc_symm (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
f ◁ η ▷ h = (α_ f g h).inv ≫ (f ◁ η) ▷ h ≫ (α_ f g' h).hom := by simp
#align category_theory.bicategory.whisker_assoc_symm CategoryTheory.Bicategory.whisker_assoc_symm
@[reassoc]
| Mathlib/CategoryTheory/Bicategory/Basic.lean | 369 | 370 | theorem associator_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
(f ≫ g) ◁ η ≫ (α_ f g h').hom = (α_ f g h).hom ≫ f ◁ g ◁ η := by | simp
|
import Mathlib.Data.List.Basic
#align_import data.list.infix from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
open Nat
variable {α β : Type*}
namespace List
variable {l l₁ l₂ l₃ : List α} {a b : α} {m n : ℕ}
section InitsTails
@[simp]
theorem mem_inits : ∀ s t : List α, s ∈ inits t ↔ s <+: t
| s, [] =>
suffices s = nil ↔ s <+: nil by simpa only [inits, mem_singleton]
⟨fun h => h.symm ▸ prefix_refl [], eq_nil_of_prefix_nil⟩
| s, a :: t =>
suffices (s = nil ∨ ∃ l ∈ inits t, a :: l = s) ↔ s <+: a :: t by simpa
⟨fun o =>
match s, o with
| _, Or.inl rfl => ⟨_, rfl⟩
| s, Or.inr ⟨r, hr, hs⟩ => by
let ⟨s, ht⟩ := (mem_inits _ _).1 hr
rw [← hs, ← ht]; exact ⟨s, rfl⟩,
fun mi =>
match s, mi with
| [], ⟨_, rfl⟩ => Or.inl rfl
| b :: s, ⟨r, hr⟩ =>
(List.noConfusion hr) fun ba (st : s ++ r = t) =>
Or.inr <| by rw [ba]; exact ⟨_, (mem_inits _ _).2 ⟨_, st⟩, rfl⟩⟩
#align list.mem_inits List.mem_inits
@[simp]
theorem mem_tails : ∀ s t : List α, s ∈ tails t ↔ s <:+ t
| s, [] => by
simp only [tails, mem_singleton, suffix_nil]
| s, a :: t => by
simp only [tails, mem_cons, mem_tails s t];
exact
show s = a :: t ∨ s <:+ t ↔ s <:+ a :: t from
⟨fun o =>
match s, t, o with
| _, t, Or.inl rfl => suffix_rfl
| s, _, Or.inr ⟨l, rfl⟩ => ⟨a :: l, rfl⟩,
fun e =>
match s, t, e with
| _, t, ⟨[], rfl⟩ => Or.inl rfl
| s, t, ⟨b :: l, he⟩ => List.noConfusion he fun _ lt => Or.inr ⟨l, lt⟩⟩
#align list.mem_tails List.mem_tails
theorem inits_cons (a : α) (l : List α) : inits (a :: l) = [] :: l.inits.map fun t => a :: t := by
simp
#align list.inits_cons List.inits_cons
theorem tails_cons (a : α) (l : List α) : tails (a :: l) = (a :: l) :: l.tails := by simp
#align list.tails_cons List.tails_cons
@[simp]
theorem inits_append : ∀ s t : List α, inits (s ++ t) = s.inits ++ t.inits.tail.map fun l => s ++ l
| [], [] => by simp
| [], a :: t => by simp [· ∘ ·]
| a :: s, t => by simp [inits_append s t, · ∘ ·]
#align list.inits_append List.inits_append
@[simp]
theorem tails_append :
∀ s t : List α, tails (s ++ t) = (s.tails.map fun l => l ++ t) ++ t.tails.tail
| [], [] => by simp
| [], a :: t => by simp
| a :: s, t => by simp [tails_append s t]
#align list.tails_append List.tails_append
-- the lemma names `inits_eq_tails` and `tails_eq_inits` are like `sublists_eq_sublists'`
theorem inits_eq_tails : ∀ l : List α, l.inits = (reverse <| map reverse <| tails <| reverse l)
| [] => by simp
| a :: l => by simp [inits_eq_tails l, map_eq_map_iff, reverse_map]
#align list.inits_eq_tails List.inits_eq_tails
theorem tails_eq_inits : ∀ l : List α, l.tails = (reverse <| map reverse <| inits <| reverse l)
| [] => by simp
| a :: l => by simp [tails_eq_inits l, append_left_inj]
#align list.tails_eq_inits List.tails_eq_inits
theorem inits_reverse (l : List α) : inits (reverse l) = reverse (map reverse l.tails) := by
rw [tails_eq_inits l]
simp [reverse_involutive.comp_self, reverse_map]
#align list.inits_reverse List.inits_reverse
theorem tails_reverse (l : List α) : tails (reverse l) = reverse (map reverse l.inits) := by
rw [inits_eq_tails l]
simp [reverse_involutive.comp_self, reverse_map]
#align list.tails_reverse List.tails_reverse
| Mathlib/Data/List/Infix.lean | 440 | 442 | theorem map_reverse_inits (l : List α) : map reverse l.inits = (reverse <| tails <| reverse l) := by |
rw [inits_eq_tails l]
simp [reverse_involutive.comp_self, reverse_map]
|
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
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
#align finsupp.lsingle_range_le_ker_lapply Finsupp.lsingle_range_le_ker_lapply
theorem iInf_ker_lapply_le_bot : ⨅ a, ker (lapply a : (α →₀ M) →ₗ[R] M) ≤ ⊥ := by
simp only [SetLike.le_def, mem_iInf, mem_ker, mem_bot, lapply_apply]
exact fun a h => Finsupp.ext h
#align finsupp.infi_ker_lapply_le_bot Finsupp.iInf_ker_lapply_le_bot
theorem iSup_lsingle_range : ⨆ a, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) = ⊤ := by
refine eq_top_iff.2 <| SetLike.le_def.2 fun f _ => ?_
rw [← sum_single f]
exact sum_mem fun a _ => Submodule.mem_iSup_of_mem a ⟨_, rfl⟩
#align finsupp.supr_lsingle_range Finsupp.iSup_lsingle_range
theorem disjoint_lsingle_lsingle (s t : Set α) (hs : Disjoint s t) :
Disjoint (⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M))
(⨆ a ∈ t, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M)) := by
-- Porting note: 2 placeholders are added to prevent timeout.
refine
(Disjoint.mono
(lsingle_range_le_ker_lapply s sᶜ ?_)
(lsingle_range_le_ker_lapply t tᶜ ?_))
?_
· apply disjoint_compl_right
· apply disjoint_compl_right
rw [disjoint_iff_inf_le]
refine le_trans (le_iInf fun i => ?_) iInf_ker_lapply_le_bot
classical
by_cases his : i ∈ s
· by_cases hit : i ∈ t
· exact (hs.le_bot ⟨his, hit⟩).elim
exact inf_le_of_right_le (iInf_le_of_le i <| iInf_le _ hit)
exact inf_le_of_left_le (iInf_le_of_le i <| iInf_le _ his)
#align finsupp.disjoint_lsingle_lsingle Finsupp.disjoint_lsingle_lsingle
theorem span_single_image (s : Set M) (a : α) :
Submodule.span R (single a '' s) = (Submodule.span R s).map (lsingle a : M →ₗ[R] α →₀ M) := by
rw [← span_image]; rfl
#align finsupp.span_single_image Finsupp.span_single_image
variable (M R)
def supported (s : Set α) : Submodule R (α →₀ M) where
carrier := { p | ↑p.support ⊆ s }
add_mem' {p q} hp hq := by
classical
refine Subset.trans (Subset.trans (Finset.coe_subset.2 support_add) ?_) (union_subset hp hq)
rw [Finset.coe_union]
zero_mem' := by
simp only [subset_def, Finset.mem_coe, Set.mem_setOf_eq, mem_support_iff, zero_apply]
intro h ha
exact (ha rfl).elim
smul_mem' a p hp := Subset.trans (Finset.coe_subset.2 support_smul) hp
#align finsupp.supported Finsupp.supported
variable {M}
theorem mem_supported {s : Set α} (p : α →₀ M) : p ∈ supported M R s ↔ ↑p.support ⊆ s :=
Iff.rfl
#align finsupp.mem_supported Finsupp.mem_supported
theorem mem_supported' {s : Set α} (p : α →₀ M) :
p ∈ supported M R s ↔ ∀ x ∉ s, p x = 0 := by
haveI := Classical.decPred fun x : α => x ∈ s; simp [mem_supported, Set.subset_def, not_imp_comm]
#align finsupp.mem_supported' Finsupp.mem_supported'
theorem mem_supported_support (p : α →₀ M) : p ∈ Finsupp.supported M R (p.support : Set α) := by
rw [Finsupp.mem_supported]
#align finsupp.mem_supported_support Finsupp.mem_supported_support
theorem single_mem_supported {s : Set α} {a : α} (b : M) (h : a ∈ s) :
single a b ∈ supported M R s :=
Set.Subset.trans support_single_subset (Finset.singleton_subset_set_iff.2 h)
#align finsupp.single_mem_supported Finsupp.single_mem_supported
theorem supported_eq_span_single (s : Set α) :
supported R R s = span R ((fun i => single i 1) '' s) := by
refine (span_eq_of_le _ ?_ (SetLike.le_def.2 fun l hl => ?_)).symm
· rintro _ ⟨_, hp, rfl⟩
exact single_mem_supported R 1 hp
· rw [← l.sum_single]
refine sum_mem fun i il => ?_
-- Porting note: Needed to help this convert quite a bit replacing underscores
convert smul_mem (M := α →₀ R) (x := single i 1) (span R ((fun i => single i 1) '' s)) (l i) ?_
· simp [span]
· apply subset_span
apply Set.mem_image_of_mem _ (hl il)
#align finsupp.supported_eq_span_single Finsupp.supported_eq_span_single
variable (M)
def restrictDom (s : Set α) [DecidablePred (· ∈ s)] : (α →₀ M) →ₗ[R] supported M R s :=
LinearMap.codRestrict _
{ toFun := filter (· ∈ s)
map_add' := fun _ _ => filter_add
map_smul' := fun _ _ => filter_smul } fun l =>
(mem_supported' _ _).2 fun _ => filter_apply_neg (· ∈ s) l
#align finsupp.restrict_dom Finsupp.restrictDom
variable {M R}
section
@[simp]
theorem restrictDom_apply (s : Set α) (l : α →₀ M) [DecidablePred (· ∈ s)]:
(restrictDom M R s l : α →₀ M) = Finsupp.filter (· ∈ s) l := rfl
#align finsupp.restrict_dom_apply Finsupp.restrictDom_apply
end
theorem restrictDom_comp_subtype (s : Set α) [DecidablePred (· ∈ s)] :
(restrictDom M R s).comp (Submodule.subtype _) = LinearMap.id := by
ext l a
by_cases h : a ∈ s <;> simp [h]
exact ((mem_supported' R l.1).1 l.2 a h).symm
#align finsupp.restrict_dom_comp_subtype Finsupp.restrictDom_comp_subtype
theorem range_restrictDom (s : Set α) [DecidablePred (· ∈ s)] :
LinearMap.range (restrictDom M R s) = ⊤ :=
range_eq_top.2 <|
Function.RightInverse.surjective <| LinearMap.congr_fun (restrictDom_comp_subtype s)
#align finsupp.range_restrict_dom Finsupp.range_restrictDom
theorem supported_mono {s t : Set α} (st : s ⊆ t) : supported M R s ≤ supported M R t := fun _ h =>
Set.Subset.trans h st
#align finsupp.supported_mono Finsupp.supported_mono
@[simp]
theorem supported_empty : supported M R (∅ : Set α) = ⊥ :=
eq_bot_iff.2 fun l h => (Submodule.mem_bot R).2 <| by ext; simp_all [mem_supported']
#align finsupp.supported_empty Finsupp.supported_empty
@[simp]
theorem supported_univ : supported M R (Set.univ : Set α) = ⊤ :=
eq_top_iff.2 fun _ _ => Set.subset_univ _
#align finsupp.supported_univ Finsupp.supported_univ
theorem supported_iUnion {δ : Type*} (s : δ → Set α) :
supported M R (⋃ i, s i) = ⨆ i, supported M R (s i) := by
refine le_antisymm ?_ (iSup_le fun i => supported_mono <| Set.subset_iUnion _ _)
haveI := Classical.decPred fun x => x ∈ ⋃ i, s i
suffices
LinearMap.range ((Submodule.subtype _).comp (restrictDom M R (⋃ i, s i))) ≤
⨆ i, supported M R (s i) by
rwa [LinearMap.range_comp, range_restrictDom, Submodule.map_top, range_subtype] at this
rw [range_le_iff_comap, eq_top_iff]
rintro l ⟨⟩
-- Porting note: Was ported as `induction l using Finsupp.induction`
refine Finsupp.induction l ?_ ?_
· exact zero_mem _
· refine fun x a l _ _ => add_mem ?_
by_cases h : ∃ i, x ∈ s i <;> simp [h]
cases' h with i hi
exact le_iSup (fun i => supported M R (s i)) i (single_mem_supported R _ hi)
#align finsupp.supported_Union Finsupp.supported_iUnion
theorem supported_union (s t : Set α) :
supported M R (s ∪ t) = supported M R s ⊔ supported M R t := by
erw [Set.union_eq_iUnion, supported_iUnion, iSup_bool_eq]; rfl
#align finsupp.supported_union Finsupp.supported_union
theorem supported_iInter {ι : Type*} (s : ι → Set α) :
supported M R (⋂ i, s i) = ⨅ i, supported M R (s i) :=
Submodule.ext fun x => by simp [mem_supported, subset_iInter_iff]
#align finsupp.supported_Inter Finsupp.supported_iInter
theorem supported_inter (s t : Set α) :
supported M R (s ∩ t) = supported M R s ⊓ supported M R t := by
rw [Set.inter_eq_iInter, supported_iInter, iInf_bool_eq]; rfl
#align finsupp.supported_inter Finsupp.supported_inter
theorem disjoint_supported_supported {s t : Set α} (h : Disjoint s t) :
Disjoint (supported M R s) (supported M R t) :=
disjoint_iff.2 <| by rw [← supported_inter, disjoint_iff_inter_eq_empty.1 h, supported_empty]
#align finsupp.disjoint_supported_supported Finsupp.disjoint_supported_supported
theorem disjoint_supported_supported_iff [Nontrivial M] {s t : Set α} :
Disjoint (supported M R s) (supported M R t) ↔ Disjoint s t := by
refine ⟨fun h => Set.disjoint_left.mpr fun x hx1 hx2 => ?_, disjoint_supported_supported⟩
rcases exists_ne (0 : M) with ⟨y, hy⟩
have := h.le_bot ⟨single_mem_supported R y hx1, single_mem_supported R y hx2⟩
rw [mem_bot, single_eq_zero] at this
exact hy this
#align finsupp.disjoint_supported_supported_iff Finsupp.disjoint_supported_supported_iff
def supportedEquivFinsupp (s : Set α) : supported M R s ≃ₗ[R] s →₀ M := by
let F : supported M R s ≃ (s →₀ M) := restrictSupportEquiv s M
refine F.toLinearEquiv ?_
have :
(F : supported M R s → ↥s →₀ M) =
(lsubtypeDomain s : (α →₀ M) →ₗ[R] s →₀ M).comp (Submodule.subtype (supported M R s)) :=
rfl
rw [this]
exact LinearMap.isLinear _
#align finsupp.supported_equiv_finsupp Finsupp.supportedEquivFinsupp
section
variable (M) (R) (X : Type*) (S)
variable [Module S M] [SMulCommClass R S M]
noncomputable def lift : (X → M) ≃+ ((X →₀ R) →ₗ[R] M) :=
(AddEquiv.arrowCongr (Equiv.refl X) (ringLmapEquivSelf R ℕ M).toAddEquiv.symm).trans
(lsum _ : _ ≃ₗ[ℕ] _).toAddEquiv
#align finsupp.lift Finsupp.lift
@[simp]
theorem lift_symm_apply (f) (x) : ((lift M R X).symm f) x = f (single x 1) :=
rfl
#align finsupp.lift_symm_apply Finsupp.lift_symm_apply
@[simp]
theorem lift_apply (f) (g) : ((lift M R X) f) g = g.sum fun x r => r • f x :=
rfl
#align finsupp.lift_apply Finsupp.lift_apply
noncomputable def llift : (X → M) ≃ₗ[S] (X →₀ R) →ₗ[R] M :=
{ lift M R X with
map_smul' := by
intros
dsimp
ext
simp only [coe_comp, Function.comp_apply, lsingle_apply, lift_apply, Pi.smul_apply,
sum_single_index, zero_smul, one_smul, LinearMap.smul_apply] }
#align finsupp.llift Finsupp.llift
@[simp]
theorem llift_apply (f : X → M) (x : X →₀ R) : llift M R S X f x = lift M R X f x :=
rfl
#align finsupp.llift_apply Finsupp.llift_apply
@[simp]
theorem llift_symm_apply (f : (X →₀ R) →ₗ[R] M) (x : X) :
(llift M R S X).symm f x = f (single x 1) :=
rfl
#align finsupp.llift_symm_apply Finsupp.llift_symm_apply
end
section Total
variable (α) (M) (R)
variable {α' : Type*} {M' : Type*} [AddCommMonoid M'] [Module R M'] (v : α → M) {v' : α' → M'}
protected def total : (α →₀ R) →ₗ[R] M :=
Finsupp.lsum ℕ fun i => LinearMap.id.smulRight (v i)
#align finsupp.total Finsupp.total
variable {α M v}
theorem total_apply (l : α →₀ R) : Finsupp.total α M R v l = l.sum fun i a => a • v i :=
rfl
#align finsupp.total_apply Finsupp.total_apply
theorem total_apply_of_mem_supported {l : α →₀ R} {s : Finset α}
(hs : l ∈ supported R R (↑s : Set α)) : Finsupp.total α M R v l = s.sum fun i => l i • v i :=
Finset.sum_subset hs fun x _ hxg =>
show l x • v x = 0 by rw [not_mem_support_iff.1 hxg, zero_smul]
#align finsupp.total_apply_of_mem_supported Finsupp.total_apply_of_mem_supported
@[simp]
theorem total_single (c : R) (a : α) : Finsupp.total α M R v (single a c) = c • v a := by
simp [total_apply, sum_single_index]
#align finsupp.total_single Finsupp.total_single
theorem total_zero_apply (x : α →₀ R) : (Finsupp.total α M R 0) x = 0 := by
simp [Finsupp.total_apply]
#align finsupp.total_zero_apply Finsupp.total_zero_apply
variable (α M)
@[simp]
theorem total_zero : Finsupp.total α M R 0 = 0 :=
LinearMap.ext (total_zero_apply R)
#align finsupp.total_zero Finsupp.total_zero
variable {α M}
theorem apply_total (f : M →ₗ[R] M') (v) (l : α →₀ R) :
f (Finsupp.total α M R v l) = Finsupp.total α M' R (f ∘ v) l := by
apply Finsupp.induction_linear l <;> simp (config := { contextual := true })
#align finsupp.apply_total Finsupp.apply_total
theorem apply_total_id (f : M →ₗ[R] M') (l : M →₀ R) :
f (Finsupp.total M M R _root_.id l) = Finsupp.total M M' R f l :=
apply_total ..
theorem total_unique [Unique α] (l : α →₀ R) (v) :
Finsupp.total α M R v l = l default • v default := by rw [← total_single, ← unique_single l]
#align finsupp.total_unique Finsupp.total_unique
theorem total_surjective (h : Function.Surjective v) :
Function.Surjective (Finsupp.total α M R v) := by
intro x
obtain ⟨y, hy⟩ := h x
exact ⟨Finsupp.single y 1, by simp [hy]⟩
#align finsupp.total_surjective Finsupp.total_surjective
theorem total_range (h : Function.Surjective v) : LinearMap.range (Finsupp.total α M R v) = ⊤ :=
range_eq_top.2 <| total_surjective R h
#align finsupp.total_range Finsupp.total_range
theorem total_id_surjective (M) [AddCommMonoid M] [Module R M] :
Function.Surjective (Finsupp.total M M R _root_.id) :=
total_surjective R Function.surjective_id
#align finsupp.total_id_surjective Finsupp.total_id_surjective
theorem range_total : LinearMap.range (Finsupp.total α M R v) = span R (range v) := by
ext x
constructor
· intro hx
rw [LinearMap.mem_range] at hx
rcases hx with ⟨l, hl⟩
rw [← hl]
rw [Finsupp.total_apply]
exact sum_mem fun i _ => Submodule.smul_mem _ _ (subset_span (mem_range_self i))
· apply span_le.2
intro x hx
rcases hx with ⟨i, hi⟩
rw [SetLike.mem_coe, LinearMap.mem_range]
use Finsupp.single i 1
simp [hi]
#align finsupp.range_total Finsupp.range_total
theorem lmapDomain_total (f : α → α') (g : M →ₗ[R] M') (h : ∀ i, g (v i) = v' (f i)) :
(Finsupp.total α' M' R v').comp (lmapDomain R R f) = g.comp (Finsupp.total α M R v) := by
ext l
simp [total_apply, Finsupp.sum_mapDomain_index, add_smul, h]
#align finsupp.lmap_domain_total Finsupp.lmapDomain_total
theorem total_comp_lmapDomain (f : α → α') :
(Finsupp.total α' M' R v').comp (Finsupp.lmapDomain R R f) = Finsupp.total α M' R (v' ∘ f) := by
ext
simp
#align finsupp.total_comp_lmap_domain Finsupp.total_comp_lmapDomain
@[simp]
theorem total_embDomain (f : α ↪ α') (l : α →₀ R) :
(Finsupp.total α' M' R v') (embDomain f l) = (Finsupp.total α M' R (v' ∘ f)) l := by
simp [total_apply, Finsupp.sum, support_embDomain, embDomain_apply]
#align finsupp.total_emb_domain Finsupp.total_embDomain
@[simp]
theorem total_mapDomain (f : α → α') (l : α →₀ R) :
(Finsupp.total α' M' R v') (mapDomain f l) = (Finsupp.total α M' R (v' ∘ f)) l :=
LinearMap.congr_fun (total_comp_lmapDomain _ _) l
#align finsupp.total_map_domain Finsupp.total_mapDomain
@[simp]
theorem total_equivMapDomain (f : α ≃ α') (l : α →₀ R) :
(Finsupp.total α' M' R v') (equivMapDomain f l) = (Finsupp.total α M' R (v' ∘ f)) l := by
rw [equivMapDomain_eq_mapDomain, total_mapDomain]
#align finsupp.total_equiv_map_domain Finsupp.total_equivMapDomain
theorem span_eq_range_total (s : Set M) : span R s = LinearMap.range (Finsupp.total s M R (↑)) := by
rw [range_total, Subtype.range_coe_subtype, Set.setOf_mem_eq]
#align finsupp.span_eq_range_total Finsupp.span_eq_range_total
theorem mem_span_iff_total (s : Set M) (x : M) :
x ∈ span R s ↔ ∃ l : s →₀ R, Finsupp.total s M R (↑) l = x :=
(SetLike.ext_iff.1 <| span_eq_range_total _ _) x
#align finsupp.mem_span_iff_total Finsupp.mem_span_iff_total
variable {R}
theorem mem_span_range_iff_exists_finsupp {v : α → M} {x : M} :
x ∈ span R (range v) ↔ ∃ c : α →₀ R, (c.sum fun i a => a • v i) = x := by
simp only [← Finsupp.range_total, LinearMap.mem_range, Finsupp.total_apply]
#align finsupp.mem_span_range_iff_exists_finsupp Finsupp.mem_span_range_iff_exists_finsupp
variable (R)
theorem span_image_eq_map_total (s : Set α) :
span R (v '' s) = Submodule.map (Finsupp.total α M R v) (supported R R s) := by
apply span_eq_of_le
· intro x hx
rw [Set.mem_image] at hx
apply Exists.elim hx
intro i hi
exact ⟨_, Finsupp.single_mem_supported R 1 hi.1, by simp [hi.2]⟩
· refine map_le_iff_le_comap.2 fun z hz => ?_
have : ∀ i, z i • v i ∈ span R (v '' s) := by
intro c
haveI := Classical.decPred fun x => x ∈ s
by_cases h : c ∈ s
· exact smul_mem _ _ (subset_span (Set.mem_image_of_mem _ h))
· simp [(Finsupp.mem_supported' R _).1 hz _ h]
-- Porting note: `rw` is required to infer metavariables in `sum_mem`.
rw [mem_comap, total_apply]
refine sum_mem ?_
simp [this]
#align finsupp.span_image_eq_map_total Finsupp.span_image_eq_map_total
theorem mem_span_image_iff_total {s : Set α} {x : M} :
x ∈ span R (v '' s) ↔ ∃ l ∈ supported R R s, Finsupp.total α M R v l = x := by
rw [span_image_eq_map_total]
simp
#align finsupp.mem_span_image_iff_total Finsupp.mem_span_image_iff_total
theorem total_option (v : Option α → M) (f : Option α →₀ R) :
Finsupp.total (Option α) M R v f =
f none • v none + Finsupp.total α M R (v ∘ Option.some) f.some := by
rw [total_apply, sum_option_index_smul, total_apply]; simp
#align finsupp.total_option Finsupp.total_option
theorem total_total {α β : Type*} (A : α → M) (B : β → α →₀ R) (f : β →₀ R) :
Finsupp.total α M R A (Finsupp.total β (α →₀ R) R B f) =
Finsupp.total β M R (fun b => Finsupp.total α M R A (B b)) f := by
classical
simp only [total_apply]
apply induction_linear f
· simp only [sum_zero_index]
· intro f₁ f₂ h₁ h₂
simp [sum_add_index, h₁, h₂, add_smul]
· simp [sum_single_index, sum_smul_index, smul_sum, mul_smul]
#align finsupp.total_total Finsupp.total_total
@[simp]
theorem total_fin_zero (f : Fin 0 → M) : Finsupp.total (Fin 0) M R f = 0 := by
ext i
apply finZeroElim i
#align finsupp.total_fin_zero Finsupp.total_fin_zero
variable (α) (M) (v)
protected def totalOn (s : Set α) : supported R R s →ₗ[R] span R (v '' s) :=
LinearMap.codRestrict _ ((Finsupp.total _ _ _ v).comp (Submodule.subtype (supported R R s)))
fun ⟨l, hl⟩ => (mem_span_image_iff_total _).2 ⟨l, hl, rfl⟩
#align finsupp.total_on Finsupp.totalOn
variable {α} {M} {v}
theorem totalOn_range (s : Set α) : LinearMap.range (Finsupp.totalOn α M R v s) = ⊤ := by
rw [Finsupp.totalOn, LinearMap.range_eq_map, LinearMap.map_codRestrict,
← LinearMap.range_le_iff_comap, range_subtype, Submodule.map_top, LinearMap.range_comp,
range_subtype]
exact (span_image_eq_map_total _ _).le
#align finsupp.total_on_range Finsupp.totalOn_range
theorem total_comp (f : α' → α) :
Finsupp.total α' M R (v ∘ f) = (Finsupp.total α M R v).comp (lmapDomain R R f) := by
ext
simp [total_apply]
#align finsupp.total_comp Finsupp.total_comp
| Mathlib/LinearAlgebra/Finsupp.lean | 867 | 870 | theorem total_comapDomain (f : α → α') (l : α' →₀ R) (hf : Set.InjOn f (f ⁻¹' ↑l.support)) :
Finsupp.total α M R v (Finsupp.comapDomain f l hf) =
(l.support.preimage f hf).sum fun i => l (f i) • v i := by |
rw [Finsupp.total_apply]; rfl
|
import Mathlib.Data.List.Basic
#align_import data.list.join from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607"
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α β : Type*}
namespace List
attribute [simp] join
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem join_singleton (l : List α) : [l].join = l := by rw [join, join, append_nil]
#align list.join_singleton List.join_singleton
@[simp]
theorem join_eq_nil : ∀ {L : List (List α)}, join L = [] ↔ ∀ l ∈ L, l = []
| [] => iff_of_true rfl (forall_mem_nil _)
| l :: L => by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons]
#align list.join_eq_nil List.join_eq_nil
@[simp]
theorem join_append (L₁ L₂ : List (List α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ := by
induction L₁
· rfl
· simp [*]
#align list.join_append List.join_append
theorem join_concat (L : List (List α)) (l : List α) : join (L.concat l) = join L ++ l := by simp
#align list.join_concat List.join_concat
@[simp]
theorem join_filter_not_isEmpty :
∀ {L : List (List α)}, join (L.filter fun l => !l.isEmpty) = L.join
| [] => rfl
| [] :: L => by
simp [join_filter_not_isEmpty (L := L), isEmpty_iff_eq_nil]
| (a :: l) :: L => by
simp [join_filter_not_isEmpty (L := L)]
#align list.join_filter_empty_eq_ff List.join_filter_not_isEmpty
@[deprecated (since := "2024-02-25")] alias join_filter_isEmpty_eq_false := join_filter_not_isEmpty
@[simp]
theorem join_filter_ne_nil [DecidablePred fun l : List α => l ≠ []] {L : List (List α)} :
join (L.filter fun l => l ≠ []) = L.join := by
simp [join_filter_not_isEmpty, ← isEmpty_iff_eq_nil]
#align list.join_filter_ne_nil List.join_filter_ne_nil
theorem join_join (l : List (List (List α))) : l.join.join = (l.map join).join := by
induction l <;> simp [*]
#align list.join_join List.join_join
lemma length_join' (L : List (List α)) : length (join L) = Nat.sum (map length L) := by
induction L <;> [rfl; simp only [*, join, map, Nat.sum_cons, length_append]]
lemma countP_join' (p : α → Bool) :
∀ L : List (List α), countP p L.join = Nat.sum (L.map (countP p))
| [] => rfl
| a :: l => by rw [join, countP_append, map_cons, Nat.sum_cons, countP_join' _ l]
lemma count_join' [BEq α] (L : List (List α)) (a : α) :
L.join.count a = Nat.sum (L.map (count a)) := countP_join' _ _
lemma length_bind' (l : List α) (f : α → List β) :
length (l.bind f) = Nat.sum (map (length ∘ f) l) := by rw [List.bind, length_join', map_map]
lemma countP_bind' (p : β → Bool) (l : List α) (f : α → List β) :
countP p (l.bind f) = Nat.sum (map (countP p ∘ f) l) := by rw [List.bind, countP_join', map_map]
lemma count_bind' [BEq β] (l : List α) (f : α → List β) (x : β) :
count x (l.bind f) = Nat.sum (map (count x ∘ f) l) := countP_bind' _ _ _
@[simp]
theorem bind_eq_nil {l : List α} {f : α → List β} : List.bind l f = [] ↔ ∀ x ∈ l, f x = [] :=
join_eq_nil.trans <| by
simp only [mem_map, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
#align list.bind_eq_nil List.bind_eq_nil
theorem take_sum_join' (L : List (List α)) (i : ℕ) :
L.join.take (Nat.sum ((L.map length).take i)) = (L.take i).join := by
induction L generalizing i
· simp
· cases i <;> simp [take_append, *]
| Mathlib/Data/List/Join.lean | 115 | 119 | theorem drop_sum_join' (L : List (List α)) (i : ℕ) :
L.join.drop (Nat.sum ((L.map length).take i)) = (L.drop i).join := by |
induction L generalizing i
· simp
· cases i <;> simp [drop_append, *]
|
import Mathlib.FieldTheory.Fixed
import Mathlib.FieldTheory.NormalClosure
import Mathlib.FieldTheory.PrimitiveElement
import Mathlib.GroupTheory.GroupAction.FixingSubgroup
#align_import field_theory.galois from "leanprover-community/mathlib"@"9fb8964792b4237dac6200193a0d533f1b3f7423"
open scoped Polynomial IntermediateField
open FiniteDimensional AlgEquiv
section
variable (F : Type*) [Field F] (E : Type*) [Field E] [Algebra F E]
class IsGalois : Prop where
[to_isSeparable : IsSeparable F E]
[to_normal : Normal F E]
#align is_galois IsGalois
variable {F E}
theorem isGalois_iff : IsGalois F E ↔ IsSeparable F E ∧ Normal F E :=
⟨fun h => ⟨h.1, h.2⟩, fun h =>
{ to_isSeparable := h.1
to_normal := h.2 }⟩
#align is_galois_iff isGalois_iff
attribute [instance 100] IsGalois.to_isSeparable IsGalois.to_normal
-- see Note [lower instance priority]
variable (F E)
namespace IsGalois
instance self : IsGalois F F :=
⟨⟩
#align is_galois.self IsGalois.self
variable {E}
theorem integral [IsGalois F E] (x : E) : IsIntegral F x :=
to_normal.isIntegral x
#align is_galois.integral IsGalois.integral
theorem separable [IsGalois F E] (x : E) : (minpoly F x).Separable :=
IsSeparable.separable F x
#align is_galois.separable IsGalois.separable
theorem splits [IsGalois F E] (x : E) : (minpoly F x).Splits (algebraMap F E) :=
Normal.splits' x
#align is_galois.splits IsGalois.splits
variable (E)
instance of_fixed_field (G : Type*) [Group G] [Finite G] [MulSemiringAction G E] :
IsGalois (FixedPoints.subfield G E) E :=
⟨⟩
#align is_galois.of_fixed_field IsGalois.of_fixed_field
theorem IntermediateField.AdjoinSimple.card_aut_eq_finrank [FiniteDimensional F E] {α : E}
(hα : IsIntegral F α) (h_sep : (minpoly F α).Separable)
(h_splits : (minpoly F α).Splits (algebraMap F F⟮α⟯)) :
Fintype.card (F⟮α⟯ ≃ₐ[F] F⟮α⟯) = finrank F F⟮α⟯ := by
letI : Fintype (F⟮α⟯ →ₐ[F] F⟮α⟯) := IntermediateField.fintypeOfAlgHomAdjoinIntegral F hα
rw [IntermediateField.adjoin.finrank hα]
rw [← IntermediateField.card_algHom_adjoin_integral F hα h_sep h_splits]
exact Fintype.card_congr (algEquivEquivAlgHom F F⟮α⟯)
#align is_galois.intermediate_field.adjoin_simple.card_aut_eq_finrank IsGalois.IntermediateField.AdjoinSimple.card_aut_eq_finrank
theorem card_aut_eq_finrank [FiniteDimensional F E] [IsGalois F E] :
Fintype.card (E ≃ₐ[F] E) = finrank F E := by
cases' Field.exists_primitive_element F E with α hα
let iso : F⟮α⟯ ≃ₐ[F] E :=
{ toFun := fun e => e.val
invFun := fun e => ⟨e, by rw [hα]; exact IntermediateField.mem_top⟩
left_inv := fun _ => by ext; rfl
right_inv := fun _ => rfl
map_mul' := fun _ _ => rfl
map_add' := fun _ _ => rfl
commutes' := fun _ => rfl }
have H : IsIntegral F α := IsGalois.integral F α
have h_sep : (minpoly F α).Separable := IsGalois.separable F α
have h_splits : (minpoly F α).Splits (algebraMap F E) := IsGalois.splits F α
replace h_splits : Polynomial.Splits (algebraMap F F⟮α⟯) (minpoly F α) := by
simpa using
Polynomial.splits_comp_of_splits (algebraMap F E) iso.symm.toAlgHom.toRingHom h_splits
rw [← LinearEquiv.finrank_eq iso.toLinearEquiv]
rw [← IntermediateField.AdjoinSimple.card_aut_eq_finrank F E H h_sep h_splits]
apply Fintype.card_congr
apply Equiv.mk (fun ϕ => iso.trans (ϕ.trans iso.symm)) fun ϕ => iso.symm.trans (ϕ.trans iso)
· intro ϕ; ext1; simp only [trans_apply, apply_symm_apply]
· intro ϕ; ext1; simp only [trans_apply, symm_apply_apply]
#align is_galois.card_aut_eq_finrank IsGalois.card_aut_eq_finrank
end IsGalois
end
end
section GaloisCorrespondence
variable {F : Type*} [Field F] {E : Type*} [Field E] [Algebra F E]
variable (H : Subgroup (E ≃ₐ[F] E)) (K : IntermediateField F E)
def FixedPoints.intermediateField (M : Type*) [Monoid M] [MulSemiringAction M E]
[SMulCommClass M F E] : IntermediateField F E :=
{ FixedPoints.subfield M E with
carrier := MulAction.fixedPoints M E
algebraMap_mem' := fun a g => smul_algebraMap g a }
#align fixed_points.intermediate_field FixedPoints.intermediateField
section GaloisEquivalentDefinitions
variable (F : Type*) [Field F] (E : Type*) [Field E] [Algebra F E]
namespace IsGalois
theorem is_separable_splitting_field [FiniteDimensional F E] [IsGalois F E] :
∃ p : F[X], p.Separable ∧ p.IsSplittingField F E := by
cases' Field.exists_primitive_element F E with α h1
use minpoly F α, separable F α, IsGalois.splits F α
rw [eq_top_iff, ← IntermediateField.top_toSubalgebra, ← h1]
rw [IntermediateField.adjoin_simple_toSubalgebra_of_integral (integral F α)]
apply Algebra.adjoin_mono
rw [Set.singleton_subset_iff, Polynomial.mem_rootSet]
exact ⟨minpoly.ne_zero (integral F α), minpoly.aeval _ _⟩
#align is_galois.is_separable_splitting_field IsGalois.is_separable_splitting_field
theorem of_fixedField_eq_bot [FiniteDimensional F E]
(h : IntermediateField.fixedField (⊤ : Subgroup (E ≃ₐ[F] E)) = ⊥) : IsGalois F E := by
rw [← isGalois_iff_isGalois_bot, ← h]
classical exact IsGalois.of_fixed_field E (⊤ : Subgroup (E ≃ₐ[F] E))
#align is_galois.of_fixed_field_eq_bot IsGalois.of_fixedField_eq_bot
theorem of_card_aut_eq_finrank [FiniteDimensional F E]
(h : Fintype.card (E ≃ₐ[F] E) = finrank F E) : IsGalois F E := by
apply of_fixedField_eq_bot
have p : 0 < finrank (IntermediateField.fixedField (⊤ : Subgroup (E ≃ₐ[F] E))) E := finrank_pos
classical
rw [← IntermediateField.finrank_eq_one_iff, ← mul_left_inj' (ne_of_lt p).symm,
finrank_mul_finrank, ← h, one_mul, IntermediateField.finrank_fixedField_eq_card]
apply Fintype.card_congr
exact
{ toFun := fun g => ⟨g, Subgroup.mem_top g⟩
invFun := (↑)
left_inv := fun g => rfl
right_inv := fun _ => by ext; rfl }
#align is_galois.of_card_aut_eq_finrank IsGalois.of_card_aut_eq_finrank
variable {F} {E}
variable {p : F[X]}
theorem of_separable_splitting_field_aux [hFE : FiniteDimensional F E] [sp : p.IsSplittingField F E]
(hp : p.Separable) (K : Type*) [Field K] [Algebra F K] [Algebra K E] [IsScalarTower F K E]
{x : E} (hx : x ∈ p.aroots E)
-- these are both implied by `hFE`, but as they carry data this makes the lemma more general
[Fintype (K →ₐ[F] E)]
[Fintype (K⟮x⟯.restrictScalars F →ₐ[F] E)] :
Fintype.card (K⟮x⟯.restrictScalars F →ₐ[F] E) = Fintype.card (K →ₐ[F] E) * finrank K K⟮x⟯ := by
have h : IsIntegral K x := (isIntegral_of_noetherian (IsNoetherian.iff_fg.2 hFE) x).tower_top
have h1 : p ≠ 0 := fun hp => by
rw [hp, Polynomial.aroots_zero] at hx
exact Multiset.not_mem_zero x hx
have h2 : minpoly K x ∣ p.map (algebraMap F K) := by
apply minpoly.dvd
rw [Polynomial.aeval_def, Polynomial.eval₂_map, ← Polynomial.eval_map, ←
IsScalarTower.algebraMap_eq]
exact (Polynomial.mem_roots (Polynomial.map_ne_zero h1)).mp hx
let key_equiv : (K⟮x⟯.restrictScalars F →ₐ[F] E) ≃
Σ f : K →ₐ[F] E, @AlgHom K K⟮x⟯ E _ _ _ _ (RingHom.toAlgebra f) := by
change (K⟮x⟯ →ₐ[F] E) ≃ Σ f : K →ₐ[F] E, _
exact algHomEquivSigma
haveI : ∀ f : K →ₐ[F] E, Fintype (@AlgHom K K⟮x⟯ E _ _ _ _ (RingHom.toAlgebra f)) := fun f => by
have := Fintype.ofEquiv _ key_equiv
apply Fintype.ofInjective (Sigma.mk f) fun _ _ H => eq_of_heq (Sigma.ext_iff.mp H).2
rw [Fintype.card_congr key_equiv, Fintype.card_sigma, IntermediateField.adjoin.finrank h]
apply Finset.sum_const_nat
intro f _
rw [← @IntermediateField.card_algHom_adjoin_integral K _ E _ _ x E _ (RingHom.toAlgebra f) h]
· congr!
· exact Polynomial.Separable.of_dvd ((Polynomial.separable_map (algebraMap F K)).mpr hp) h2
· refine Polynomial.splits_of_splits_of_dvd _ (Polynomial.map_ne_zero h1) ?_ h2
-- Porting note: use unification instead of synthesis for one argument of `algebraMap_eq`
rw [Polynomial.splits_map_iff, ← @IsScalarTower.algebraMap_eq _ _ _ _ _ _ _ (_) _ _]
exact sp.splits
#align is_galois.of_separable_splitting_field_aux IsGalois.of_separable_splitting_field_aux
theorem of_separable_splitting_field [sp : p.IsSplittingField F E] (hp : p.Separable) :
IsGalois F E := by
haveI hFE : FiniteDimensional F E := Polynomial.IsSplittingField.finiteDimensional E p
letI := Classical.decEq E
let s := p.rootSet E
have adjoin_root : IntermediateField.adjoin F s = ⊤ := by
apply IntermediateField.toSubalgebra_injective
rw [IntermediateField.top_toSubalgebra, ← top_le_iff, ← sp.adjoin_rootSet]
apply IntermediateField.algebra_adjoin_le_adjoin
let P : IntermediateField F E → Prop := fun K => Fintype.card (K →ₐ[F] E) = finrank F K
suffices P (IntermediateField.adjoin F s) by
rw [adjoin_root] at this
apply of_card_aut_eq_finrank
rw [← Eq.trans this (LinearEquiv.finrank_eq IntermediateField.topEquiv.toLinearEquiv)]
exact Fintype.card_congr ((algEquivEquivAlgHom F E).toEquiv.trans
(IntermediateField.topEquiv.symm.arrowCongr AlgEquiv.refl))
apply IntermediateField.induction_on_adjoin_finset _ P
· have key := IntermediateField.card_algHom_adjoin_integral F (K := E)
(show IsIntegral F (0 : E) from isIntegral_zero)
rw [minpoly.zero, Polynomial.natDegree_X] at key
specialize key Polynomial.separable_X (Polynomial.splits_X (algebraMap F E))
rw [← @Subalgebra.finrank_bot F E _ _ _, ← IntermediateField.bot_toSubalgebra] at key
refine Eq.trans ?_ key
-- Porting note: use unification instead of synthesis for one argument of `card_congr`
apply @Fintype.card_congr _ _ _ (_) _
rw [IntermediateField.adjoin_zero]
intro K x hx hK
simp only [P] at *
-- Porting note: need to specify two implicit arguments of `finrank_mul_finrank`
letI := K⟮x⟯.module
letI := K⟮x⟯.isScalarTower (R := F)
rw [of_separable_splitting_field_aux hp K (Multiset.mem_toFinset.mp hx), hK, finrank_mul_finrank]
symm
refine LinearEquiv.finrank_eq ?_
rfl
#align is_galois.of_separable_splitting_field IsGalois.of_separable_splitting_field
| Mathlib/FieldTheory/Galois.lean | 429 | 444 | theorem tfae [FiniteDimensional F E] :
List.TFAE [IsGalois F E, IntermediateField.fixedField (⊤ : Subgroup (E ≃ₐ[F] E)) = ⊥,
Fintype.card (E ≃ₐ[F] E) = finrank F E, ∃ p: F[X], p.Separable ∧ p.IsSplittingField F E] := by |
tfae_have 1 → 2
· exact fun h => OrderIso.map_bot (@intermediateFieldEquivSubgroup F _ E _ _ _ h).symm
tfae_have 1 → 3
· intro; exact card_aut_eq_finrank F E
tfae_have 1 → 4
· intro; exact is_separable_splitting_field F E
tfae_have 2 → 1
· exact of_fixedField_eq_bot F E
tfae_have 3 → 1
· exact of_card_aut_eq_finrank F E
tfae_have 4 → 1
· rintro ⟨h, hp1, _⟩; exact of_separable_splitting_field hp1
tfae_finish
|
import Mathlib.MeasureTheory.Measure.Typeclasses
import Mathlib.Analysis.Complex.Basic
#align_import measure_theory.measure.vector_measure from "leanprover-community/mathlib"@"70a4f2197832bceab57d7f41379b2592d1110570"
noncomputable section
open scoped Classical
open NNReal ENNReal MeasureTheory
namespace MeasureTheory
variable {α β : Type*} {m : MeasurableSpace α}
structure VectorMeasure (α : Type*) [MeasurableSpace α] (M : Type*) [AddCommMonoid M]
[TopologicalSpace M] where
measureOf' : Set α → M
empty' : measureOf' ∅ = 0
not_measurable' ⦃i : Set α⦄ : ¬MeasurableSet i → measureOf' i = 0
m_iUnion' ⦃f : ℕ → Set α⦄ : (∀ i, MeasurableSet (f i)) → Pairwise (Disjoint on f) →
HasSum (fun i => measureOf' (f i)) (measureOf' (⋃ i, f i))
#align measure_theory.vector_measure MeasureTheory.VectorMeasure
#align measure_theory.vector_measure.measure_of' MeasureTheory.VectorMeasure.measureOf'
#align measure_theory.vector_measure.empty' MeasureTheory.VectorMeasure.empty'
#align measure_theory.vector_measure.not_measurable' MeasureTheory.VectorMeasure.not_measurable'
#align measure_theory.vector_measure.m_Union' MeasureTheory.VectorMeasure.m_iUnion'
abbrev SignedMeasure (α : Type*) [MeasurableSpace α] :=
VectorMeasure α ℝ
#align measure_theory.signed_measure MeasureTheory.SignedMeasure
abbrev ComplexMeasure (α : Type*) [MeasurableSpace α] :=
VectorMeasure α ℂ
#align measure_theory.complex_measure MeasureTheory.ComplexMeasure
open Set MeasureTheory
namespace VectorMeasure
section
variable {M : Type*} [AddCommMonoid M] [TopologicalSpace M]
attribute [coe] VectorMeasure.measureOf'
instance instCoeFun : CoeFun (VectorMeasure α M) fun _ => Set α → M :=
⟨VectorMeasure.measureOf'⟩
#align measure_theory.vector_measure.has_coe_to_fun MeasureTheory.VectorMeasure.instCoeFun
initialize_simps_projections VectorMeasure (measureOf' → apply)
#noalign measure_theory.vector_measure.measure_of_eq_coe
@[simp]
theorem empty (v : VectorMeasure α M) : v ∅ = 0 :=
v.empty'
#align measure_theory.vector_measure.empty MeasureTheory.VectorMeasure.empty
theorem not_measurable (v : VectorMeasure α M) {i : Set α} (hi : ¬MeasurableSet i) : v i = 0 :=
v.not_measurable' hi
#align measure_theory.vector_measure.not_measurable MeasureTheory.VectorMeasure.not_measurable
theorem m_iUnion (v : VectorMeasure α M) {f : ℕ → Set α} (hf₁ : ∀ i, MeasurableSet (f i))
(hf₂ : Pairwise (Disjoint on f)) : HasSum (fun i => v (f i)) (v (⋃ i, f i)) :=
v.m_iUnion' hf₁ hf₂
#align measure_theory.vector_measure.m_Union MeasureTheory.VectorMeasure.m_iUnion
theorem of_disjoint_iUnion_nat [T2Space M] (v : VectorMeasure α M) {f : ℕ → Set α}
(hf₁ : ∀ i, MeasurableSet (f i)) (hf₂ : Pairwise (Disjoint on f)) :
v (⋃ i, f i) = ∑' i, v (f i) :=
(v.m_iUnion hf₁ hf₂).tsum_eq.symm
#align measure_theory.vector_measure.of_disjoint_Union_nat MeasureTheory.VectorMeasure.of_disjoint_iUnion_nat
theorem coe_injective : @Function.Injective (VectorMeasure α M) (Set α → M) (⇑) := fun v w h => by
cases v
cases w
congr
#align measure_theory.vector_measure.coe_injective MeasureTheory.VectorMeasure.coe_injective
theorem ext_iff' (v w : VectorMeasure α M) : v = w ↔ ∀ i : Set α, v i = w i := by
rw [← coe_injective.eq_iff, Function.funext_iff]
#align measure_theory.vector_measure.ext_iff' MeasureTheory.VectorMeasure.ext_iff'
theorem ext_iff (v w : VectorMeasure α M) : v = w ↔ ∀ i : Set α, MeasurableSet i → v i = w i := by
constructor
· rintro rfl _ _
rfl
· rw [ext_iff']
intro h i
by_cases hi : MeasurableSet i
· exact h i hi
· simp_rw [not_measurable _ hi]
#align measure_theory.vector_measure.ext_iff MeasureTheory.VectorMeasure.ext_iff
@[ext]
theorem ext {s t : VectorMeasure α M} (h : ∀ i : Set α, MeasurableSet i → s i = t i) : s = t :=
(ext_iff s t).2 h
#align measure_theory.vector_measure.ext MeasureTheory.VectorMeasure.ext
variable [T2Space M] {v : VectorMeasure α M} {f : ℕ → Set α}
theorem hasSum_of_disjoint_iUnion [Countable β] {f : β → Set α} (hf₁ : ∀ i, MeasurableSet (f i))
(hf₂ : Pairwise (Disjoint on f)) : HasSum (fun i => v (f i)) (v (⋃ i, f i)) := by
cases nonempty_encodable β
set g := fun i : ℕ => ⋃ (b : β) (_ : b ∈ Encodable.decode₂ β i), f b with hg
have hg₁ : ∀ i, MeasurableSet (g i) :=
fun _ => MeasurableSet.iUnion fun b => MeasurableSet.iUnion fun _ => hf₁ b
have hg₂ : Pairwise (Disjoint on g) := Encodable.iUnion_decode₂_disjoint_on hf₂
have := v.of_disjoint_iUnion_nat hg₁ hg₂
rw [hg, Encodable.iUnion_decode₂] at this
have hg₃ : (fun i : β => v (f i)) = fun i => v (g (Encodable.encode i)) := by
ext x
rw [hg]
simp only
congr
ext y
simp only [exists_prop, Set.mem_iUnion, Option.mem_def]
constructor
· intro hy
exact ⟨x, (Encodable.decode₂_is_partial_inv _ _).2 rfl, hy⟩
· rintro ⟨b, hb₁, hb₂⟩
rw [Encodable.decode₂_is_partial_inv _ _] at hb₁
rwa [← Encodable.encode_injective hb₁]
rw [Summable.hasSum_iff, this, ← tsum_iUnion_decode₂]
· exact v.empty
· rw [hg₃]
change Summable ((fun i => v (g i)) ∘ Encodable.encode)
rw [Function.Injective.summable_iff Encodable.encode_injective]
· exact (v.m_iUnion hg₁ hg₂).summable
· intro x hx
convert v.empty
simp only [g, Set.iUnion_eq_empty, Option.mem_def, not_exists, Set.mem_range] at hx ⊢
intro i hi
exact False.elim ((hx i) ((Encodable.decode₂_is_partial_inv _ _).1 hi))
#align measure_theory.vector_measure.has_sum_of_disjoint_Union MeasureTheory.VectorMeasure.hasSum_of_disjoint_iUnion
theorem of_disjoint_iUnion [Countable β] {f : β → Set α} (hf₁ : ∀ i, MeasurableSet (f i))
(hf₂ : Pairwise (Disjoint on f)) : v (⋃ i, f i) = ∑' i, v (f i) :=
(hasSum_of_disjoint_iUnion hf₁ hf₂).tsum_eq.symm
#align measure_theory.vector_measure.of_disjoint_Union MeasureTheory.VectorMeasure.of_disjoint_iUnion
theorem of_union {A B : Set α} (h : Disjoint A B) (hA : MeasurableSet A) (hB : MeasurableSet B) :
v (A ∪ B) = v A + v B := by
rw [Set.union_eq_iUnion, of_disjoint_iUnion, tsum_fintype, Fintype.sum_bool, cond, cond]
exacts [fun b => Bool.casesOn b hB hA, pairwise_disjoint_on_bool.2 h]
#align measure_theory.vector_measure.of_union MeasureTheory.VectorMeasure.of_union
theorem of_add_of_diff {A B : Set α} (hA : MeasurableSet A) (hB : MeasurableSet B) (h : A ⊆ B) :
v A + v (B \ A) = v B := by
rw [← of_union (@Set.disjoint_sdiff_right _ A B) hA (hB.diff hA), Set.union_diff_cancel h]
#align measure_theory.vector_measure.of_add_of_diff MeasureTheory.VectorMeasure.of_add_of_diff
theorem of_diff {M : Type*} [AddCommGroup M] [TopologicalSpace M] [T2Space M]
{v : VectorMeasure α M} {A B : Set α} (hA : MeasurableSet A) (hB : MeasurableSet B)
(h : A ⊆ B) : v (B \ A) = v B - v A := by
rw [← of_add_of_diff hA hB h, add_sub_cancel_left]
#align measure_theory.vector_measure.of_diff MeasureTheory.VectorMeasure.of_diff
theorem of_diff_of_diff_eq_zero {A B : Set α} (hA : MeasurableSet A) (hB : MeasurableSet B)
(h' : v (B \ A) = 0) : v (A \ B) + v B = v A := by
symm
calc
v A = v (A \ B ∪ A ∩ B) := by simp only [Set.diff_union_inter]
_ = v (A \ B) + v (A ∩ B) := by
rw [of_union]
· rw [disjoint_comm]
exact Set.disjoint_of_subset_left A.inter_subset_right disjoint_sdiff_self_right
· exact hA.diff hB
· exact hA.inter hB
_ = v (A \ B) + v (A ∩ B ∪ B \ A) := by
rw [of_union, h', add_zero]
· exact Set.disjoint_of_subset_left A.inter_subset_left disjoint_sdiff_self_right
· exact hA.inter hB
· exact hB.diff hA
_ = v (A \ B) + v B := by rw [Set.union_comm, Set.inter_comm, Set.diff_union_inter]
#align measure_theory.vector_measure.of_diff_of_diff_eq_zero MeasureTheory.VectorMeasure.of_diff_of_diff_eq_zero
theorem of_iUnion_nonneg {M : Type*} [TopologicalSpace M] [OrderedAddCommMonoid M]
[OrderClosedTopology M] {v : VectorMeasure α M} (hf₁ : ∀ i, MeasurableSet (f i))
(hf₂ : Pairwise (Disjoint on f)) (hf₃ : ∀ i, 0 ≤ v (f i)) : 0 ≤ v (⋃ i, f i) :=
(v.of_disjoint_iUnion_nat hf₁ hf₂).symm ▸ tsum_nonneg hf₃
#align measure_theory.vector_measure.of_Union_nonneg MeasureTheory.VectorMeasure.of_iUnion_nonneg
theorem of_iUnion_nonpos {M : Type*} [TopologicalSpace M] [OrderedAddCommMonoid M]
[OrderClosedTopology M] {v : VectorMeasure α M} (hf₁ : ∀ i, MeasurableSet (f i))
(hf₂ : Pairwise (Disjoint on f)) (hf₃ : ∀ i, v (f i) ≤ 0) : v (⋃ i, f i) ≤ 0 :=
(v.of_disjoint_iUnion_nat hf₁ hf₂).symm ▸ tsum_nonpos hf₃
#align measure_theory.vector_measure.of_Union_nonpos MeasureTheory.VectorMeasure.of_iUnion_nonpos
theorem of_nonneg_disjoint_union_eq_zero {s : SignedMeasure α} {A B : Set α} (h : Disjoint A B)
(hA₁ : MeasurableSet A) (hB₁ : MeasurableSet B) (hA₂ : 0 ≤ s A) (hB₂ : 0 ≤ s B)
(hAB : s (A ∪ B) = 0) : s A = 0 := by
rw [of_union h hA₁ hB₁] at hAB
linarith
#align measure_theory.vector_measure.of_nonneg_disjoint_union_eq_zero MeasureTheory.VectorMeasure.of_nonneg_disjoint_union_eq_zero
theorem of_nonpos_disjoint_union_eq_zero {s : SignedMeasure α} {A B : Set α} (h : Disjoint A B)
(hA₁ : MeasurableSet A) (hB₁ : MeasurableSet B) (hA₂ : s A ≤ 0) (hB₂ : s B ≤ 0)
(hAB : s (A ∪ B) = 0) : s A = 0 := by
rw [of_union h hA₁ hB₁] at hAB
linarith
#align measure_theory.vector_measure.of_nonpos_disjoint_union_eq_zero MeasureTheory.VectorMeasure.of_nonpos_disjoint_union_eq_zero
end
namespace VectorMeasure
open Measure
section
def ennrealToMeasure {_ : MeasurableSpace α} (v : VectorMeasure α ℝ≥0∞) : Measure α :=
ofMeasurable (fun s _ => v s) v.empty fun _ hf₁ hf₂ => v.of_disjoint_iUnion_nat hf₁ hf₂
#align measure_theory.vector_measure.ennreal_to_measure MeasureTheory.VectorMeasure.ennrealToMeasure
theorem ennrealToMeasure_apply {m : MeasurableSpace α} {v : VectorMeasure α ℝ≥0∞} {s : Set α}
(hs : MeasurableSet s) : ennrealToMeasure v s = v s := by
rw [ennrealToMeasure, ofMeasurable_apply _ hs]
#align measure_theory.vector_measure.ennreal_to_measure_apply MeasureTheory.VectorMeasure.ennrealToMeasure_apply
@[simp]
theorem _root_.MeasureTheory.Measure.toENNRealVectorMeasure_ennrealToMeasure
(μ : VectorMeasure α ℝ≥0∞) :
toENNRealVectorMeasure (ennrealToMeasure μ) = μ := ext fun s hs => by
rw [toENNRealVectorMeasure_apply_measurable hs, ennrealToMeasure_apply hs]
@[simp]
theorem ennrealToMeasure_toENNRealVectorMeasure (μ : Measure α) :
ennrealToMeasure (toENNRealVectorMeasure μ) = μ := Measure.ext fun s hs => by
rw [ennrealToMeasure_apply hs, toENNRealVectorMeasure_apply_measurable hs]
@[simps]
def equivMeasure [MeasurableSpace α] : VectorMeasure α ℝ≥0∞ ≃ Measure α where
toFun := ennrealToMeasure
invFun := toENNRealVectorMeasure
left_inv := toENNRealVectorMeasure_ennrealToMeasure
right_inv := ennrealToMeasure_toENNRealVectorMeasure
#align measure_theory.vector_measure.equiv_measure MeasureTheory.VectorMeasure.equivMeasure
end
section
variable [MeasurableSpace α] [MeasurableSpace β]
variable {M : Type*} [AddCommMonoid M] [TopologicalSpace M]
variable (v : VectorMeasure α M)
def map (v : VectorMeasure α M) (f : α → β) : VectorMeasure β M :=
if hf : Measurable f then
{ measureOf' := fun s => if MeasurableSet s then v (f ⁻¹' s) else 0
empty' := by simp
not_measurable' := fun i hi => if_neg hi
m_iUnion' := by
intro g hg₁ hg₂
simp only
convert v.m_iUnion (fun i => hf (hg₁ i)) fun i j hij => (hg₂ hij).preimage _
· rw [if_pos (hg₁ _)]
· rw [Set.preimage_iUnion, if_pos (MeasurableSet.iUnion hg₁)] }
else 0
#align measure_theory.vector_measure.map MeasureTheory.VectorMeasure.map
theorem map_not_measurable {f : α → β} (hf : ¬Measurable f) : v.map f = 0 :=
dif_neg hf
#align measure_theory.vector_measure.map_not_measurable MeasureTheory.VectorMeasure.map_not_measurable
theorem map_apply {f : α → β} (hf : Measurable f) {s : Set β} (hs : MeasurableSet s) :
v.map f s = v (f ⁻¹' s) := by
rw [map, dif_pos hf]
exact if_pos hs
#align measure_theory.vector_measure.map_apply MeasureTheory.VectorMeasure.map_apply
@[simp]
theorem map_id : v.map id = v :=
ext fun i hi => by rw [map_apply v measurable_id hi, Set.preimage_id]
#align measure_theory.vector_measure.map_id MeasureTheory.VectorMeasure.map_id
@[simp]
theorem map_zero (f : α → β) : (0 : VectorMeasure α M).map f = 0 := by
by_cases hf : Measurable f
· ext i hi
rw [map_apply _ hf hi, zero_apply, zero_apply]
· exact dif_neg hf
#align measure_theory.vector_measure.map_zero MeasureTheory.VectorMeasure.map_zero
section
variable {N : Type*} [AddCommMonoid N] [TopologicalSpace N]
def mapRange (v : VectorMeasure α M) (f : M →+ N) (hf : Continuous f) : VectorMeasure α N where
measureOf' s := f (v s)
empty' := by simp only; rw [empty, AddMonoidHom.map_zero]
not_measurable' i hi := by simp only; rw [not_measurable v hi, AddMonoidHom.map_zero]
m_iUnion' g hg₁ hg₂ := HasSum.map (v.m_iUnion hg₁ hg₂) f hf
#align measure_theory.vector_measure.map_range MeasureTheory.VectorMeasure.mapRange
@[simp]
theorem mapRange_apply {f : M →+ N} (hf : Continuous f) {s : Set α} : v.mapRange f hf s = f (v s) :=
rfl
#align measure_theory.vector_measure.map_range_apply MeasureTheory.VectorMeasure.mapRange_apply
@[simp]
theorem mapRange_id : v.mapRange (AddMonoidHom.id M) continuous_id = v := by
ext
rfl
#align measure_theory.vector_measure.map_range_id MeasureTheory.VectorMeasure.mapRange_id
@[simp]
theorem mapRange_zero {f : M →+ N} (hf : Continuous f) :
mapRange (0 : VectorMeasure α M) f hf = 0 := by
ext
simp
#align measure_theory.vector_measure.map_range_zero MeasureTheory.VectorMeasure.mapRange_zero
end
section
variable [MeasurableSpace β]
variable {M : Type*} [AddCommMonoid M] [TopologicalSpace M]
variable {R : Type*} [Semiring R] [DistribMulAction R M] [ContinuousConstSMul R M]
@[simp]
theorem map_smul {v : VectorMeasure α M} {f : α → β} (c : R) : (c • v).map f = c • v.map f := by
by_cases hf : Measurable f
· ext i hi
simp [map_apply _ hf hi]
· simp only [map, dif_neg hf]
-- `smul_zero` does not work since we do not require `ContinuousAdd`
ext i
simp
#align measure_theory.vector_measure.map_smul MeasureTheory.VectorMeasure.map_smul
@[simp]
theorem restrict_smul {v : VectorMeasure α M} {i : Set α} (c : R) :
(c • v).restrict i = c • v.restrict i := by
by_cases hi : MeasurableSet i
· ext j hj
simp [restrict_apply _ hi hj]
· simp only [restrict_not_measurable _ hi]
-- `smul_zero` does not work since we do not require `ContinuousAdd`
ext j
simp
#align measure_theory.vector_measure.restrict_smul MeasureTheory.VectorMeasure.restrict_smul
end
section
variable [MeasurableSpace β]
variable {M : Type*} [AddCommMonoid M] [TopologicalSpace M]
variable {R : Type*} [Semiring R] [Module R M] [ContinuousConstSMul R M] [ContinuousAdd M]
@[simps]
def mapₗ (f : α → β) : VectorMeasure α M →ₗ[R] VectorMeasure β M where
toFun v := v.map f
map_add' _ _ := map_add _ _ f
map_smul' _ _ := map_smul _
#align measure_theory.vector_measure.mapₗ MeasureTheory.VectorMeasure.mapₗ
@[simps]
def restrictₗ (i : Set α) : VectorMeasure α M →ₗ[R] VectorMeasure α M where
toFun v := v.restrict i
map_add' _ _ := restrict_add _ _ i
map_smul' _ _ := restrict_smul _
#align measure_theory.vector_measure.restrictₗ MeasureTheory.VectorMeasure.restrictₗ
end
section
variable {M : Type*} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M]
instance instPartialOrder : PartialOrder (VectorMeasure α M) where
le v w := ∀ i, MeasurableSet i → v i ≤ w i
le_refl v i _ := le_rfl
le_trans u v w h₁ h₂ i hi := le_trans (h₁ i hi) (h₂ i hi)
le_antisymm v w h₁ h₂ := ext fun i hi => le_antisymm (h₁ i hi) (h₂ i hi)
variable {u v w : VectorMeasure α M}
theorem le_iff : v ≤ w ↔ ∀ i, MeasurableSet i → v i ≤ w i := Iff.rfl
#align measure_theory.vector_measure.le_iff MeasureTheory.VectorMeasure.le_iff
theorem le_iff' : v ≤ w ↔ ∀ i, v i ≤ w i := by
refine ⟨fun h i => ?_, fun h i _ => h i⟩
by_cases hi : MeasurableSet i
· exact h i hi
· rw [v.not_measurable hi, w.not_measurable hi]
#align measure_theory.vector_measure.le_iff' MeasureTheory.VectorMeasure.le_iff'
end
set_option quotPrecheck false in -- Porting note: error message suggested to do this
scoped[MeasureTheory]
notation:50 v " ≤[" i:50 "] " w:50 =>
MeasureTheory.VectorMeasure.restrict v i ≤ MeasureTheory.VectorMeasure.restrict w i
section
variable {M : Type*} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M]
variable (v w : VectorMeasure α M)
theorem restrict_le_restrict_iff {i : Set α} (hi : MeasurableSet i) :
v ≤[i] w ↔ ∀ ⦃j⦄, MeasurableSet j → j ⊆ i → v j ≤ w j :=
⟨fun h j hj₁ hj₂ => restrict_eq_self v hi hj₁ hj₂ ▸ restrict_eq_self w hi hj₁ hj₂ ▸ h j hj₁,
fun h => le_iff.1 fun _ hj =>
(restrict_apply v hi hj).symm ▸ (restrict_apply w hi hj).symm ▸
h (hj.inter hi) Set.inter_subset_right⟩
#align measure_theory.vector_measure.restrict_le_restrict_iff MeasureTheory.VectorMeasure.restrict_le_restrict_iff
theorem subset_le_of_restrict_le_restrict {i : Set α} (hi : MeasurableSet i) (hi₂ : v ≤[i] w)
{j : Set α} (hj : j ⊆ i) : v j ≤ w j := by
by_cases hj₁ : MeasurableSet j
· exact (restrict_le_restrict_iff _ _ hi).1 hi₂ hj₁ hj
· rw [v.not_measurable hj₁, w.not_measurable hj₁]
#align measure_theory.vector_measure.subset_le_of_restrict_le_restrict MeasureTheory.VectorMeasure.subset_le_of_restrict_le_restrict
theorem restrict_le_restrict_of_subset_le {i : Set α}
(h : ∀ ⦃j⦄, MeasurableSet j → j ⊆ i → v j ≤ w j) : v ≤[i] w := by
by_cases hi : MeasurableSet i
· exact (restrict_le_restrict_iff _ _ hi).2 h
· rw [restrict_not_measurable v hi, restrict_not_measurable w hi]
#align measure_theory.vector_measure.restrict_le_restrict_of_subset_le MeasureTheory.VectorMeasure.restrict_le_restrict_of_subset_le
theorem restrict_le_restrict_subset {i j : Set α} (hi₁ : MeasurableSet i) (hi₂ : v ≤[i] w)
(hij : j ⊆ i) : v ≤[j] w :=
restrict_le_restrict_of_subset_le v w fun _ _ hk₂ =>
subset_le_of_restrict_le_restrict v w hi₁ hi₂ (Set.Subset.trans hk₂ hij)
#align measure_theory.vector_measure.restrict_le_restrict_subset MeasureTheory.VectorMeasure.restrict_le_restrict_subset
theorem le_restrict_empty : v ≤[∅] w := by
intro j _
rw [restrict_empty, restrict_empty]
#align measure_theory.vector_measure.le_restrict_empty MeasureTheory.VectorMeasure.le_restrict_empty
theorem le_restrict_univ_iff_le : v ≤[Set.univ] w ↔ v ≤ w := by
constructor
· intro h s hs
have := h s hs
rwa [restrict_apply _ MeasurableSet.univ hs, Set.inter_univ,
restrict_apply _ MeasurableSet.univ hs, Set.inter_univ] at this
· intro h s hs
rw [restrict_apply _ MeasurableSet.univ hs, Set.inter_univ,
restrict_apply _ MeasurableSet.univ hs, Set.inter_univ]
exact h s hs
#align measure_theory.vector_measure.le_restrict_univ_iff_le MeasureTheory.VectorMeasure.le_restrict_univ_iff_le
end
section
variable {M : Type*} [TopologicalSpace M] [OrderedAddCommGroup M] [TopologicalAddGroup M]
variable (v w : VectorMeasure α M)
nonrec theorem neg_le_neg {i : Set α} (hi : MeasurableSet i) (h : v ≤[i] w) : -w ≤[i] -v := by
intro j hj₁
rw [restrict_apply _ hi hj₁, restrict_apply _ hi hj₁, neg_apply, neg_apply]
refine neg_le_neg ?_
rw [← restrict_apply _ hi hj₁, ← restrict_apply _ hi hj₁]
exact h j hj₁
#align measure_theory.vector_measure.neg_le_neg MeasureTheory.VectorMeasure.neg_le_neg
@[simp]
theorem neg_le_neg_iff {i : Set α} (hi : MeasurableSet i) : -w ≤[i] -v ↔ v ≤[i] w :=
⟨fun h => neg_neg v ▸ neg_neg w ▸ neg_le_neg _ _ hi h, fun h => neg_le_neg _ _ hi h⟩
#align measure_theory.vector_measure.neg_le_neg_iff MeasureTheory.VectorMeasure.neg_le_neg_iff
end
section
variable {M : Type*} [TopologicalSpace M] [OrderedAddCommMonoid M] [OrderClosedTopology M]
variable (v w : VectorMeasure α M) {i j : Set α}
theorem restrict_le_restrict_iUnion {f : ℕ → Set α} (hf₁ : ∀ n, MeasurableSet (f n))
(hf₂ : ∀ n, v ≤[f n] w) : v ≤[⋃ n, f n] w := by
refine restrict_le_restrict_of_subset_le v w fun a ha₁ ha₂ => ?_
have ha₃ : ⋃ n, a ∩ disjointed f n = a := by
rwa [← Set.inter_iUnion, iUnion_disjointed, Set.inter_eq_left]
have ha₄ : Pairwise (Disjoint on fun n => a ∩ disjointed f n) :=
(disjoint_disjointed _).mono fun i j => Disjoint.mono inf_le_right inf_le_right
rw [← ha₃, v.of_disjoint_iUnion_nat _ ha₄, w.of_disjoint_iUnion_nat _ ha₄]
· refine tsum_le_tsum (fun n => (restrict_le_restrict_iff v w (hf₁ n)).1 (hf₂ n) ?_ ?_) ?_ ?_
· exact ha₁.inter (MeasurableSet.disjointed hf₁ n)
· exact Set.Subset.trans Set.inter_subset_right (disjointed_subset _ _)
· refine (v.m_iUnion (fun n => ?_) ?_).summable
· exact ha₁.inter (MeasurableSet.disjointed hf₁ n)
· exact (disjoint_disjointed _).mono fun i j => Disjoint.mono inf_le_right inf_le_right
· refine (w.m_iUnion (fun n => ?_) ?_).summable
· exact ha₁.inter (MeasurableSet.disjointed hf₁ n)
· exact (disjoint_disjointed _).mono fun i j => Disjoint.mono inf_le_right inf_le_right
· intro n
exact ha₁.inter (MeasurableSet.disjointed hf₁ n)
· exact fun n => ha₁.inter (MeasurableSet.disjointed hf₁ n)
#align measure_theory.vector_measure.restrict_le_restrict_Union MeasureTheory.VectorMeasure.restrict_le_restrict_iUnion
theorem restrict_le_restrict_countable_iUnion [Countable β] {f : β → Set α}
(hf₁ : ∀ b, MeasurableSet (f b)) (hf₂ : ∀ b, v ≤[f b] w) : v ≤[⋃ b, f b] w := by
cases nonempty_encodable β
rw [← Encodable.iUnion_decode₂]
refine restrict_le_restrict_iUnion v w ?_ ?_
· intro n
measurability
· intro n
cases' Encodable.decode₂ β n with b
· simp
· simp [hf₂ b]
#align measure_theory.vector_measure.restrict_le_restrict_countable_Union MeasureTheory.VectorMeasure.restrict_le_restrict_countable_iUnion
theorem restrict_le_restrict_union (hi₁ : MeasurableSet i) (hi₂ : v ≤[i] w) (hj₁ : MeasurableSet j)
(hj₂ : v ≤[j] w) : v ≤[i ∪ j] w := by
rw [Set.union_eq_iUnion]
refine restrict_le_restrict_countable_iUnion v w ?_ ?_
· measurability
· rintro (_ | _) <;> simpa
#align measure_theory.vector_measure.restrict_le_restrict_union MeasureTheory.VectorMeasure.restrict_le_restrict_union
end
section
variable {M : Type*} [TopologicalSpace M] [OrderedAddCommMonoid M]
variable (v w : VectorMeasure α M) {i j : Set α}
theorem nonneg_of_zero_le_restrict (hi₂ : 0 ≤[i] v) : 0 ≤ v i := by
by_cases hi₁ : MeasurableSet i
· exact (restrict_le_restrict_iff _ _ hi₁).1 hi₂ hi₁ Set.Subset.rfl
· rw [v.not_measurable hi₁]
#align measure_theory.vector_measure.nonneg_of_zero_le_restrict MeasureTheory.VectorMeasure.nonneg_of_zero_le_restrict
theorem nonpos_of_restrict_le_zero (hi₂ : v ≤[i] 0) : v i ≤ 0 := by
by_cases hi₁ : MeasurableSet i
· exact (restrict_le_restrict_iff _ _ hi₁).1 hi₂ hi₁ Set.Subset.rfl
· rw [v.not_measurable hi₁]
#align measure_theory.vector_measure.nonpos_of_restrict_le_zero MeasureTheory.VectorMeasure.nonpos_of_restrict_le_zero
theorem zero_le_restrict_not_measurable (hi : ¬MeasurableSet i) : 0 ≤[i] v := by
rw [restrict_zero, restrict_not_measurable _ hi]
#align measure_theory.vector_measure.zero_le_restrict_not_measurable MeasureTheory.VectorMeasure.zero_le_restrict_not_measurable
theorem restrict_le_zero_of_not_measurable (hi : ¬MeasurableSet i) : v ≤[i] 0 := by
rw [restrict_zero, restrict_not_measurable _ hi]
#align measure_theory.vector_measure.restrict_le_zero_of_not_measurable MeasureTheory.VectorMeasure.restrict_le_zero_of_not_measurable
theorem measurable_of_not_zero_le_restrict (hi : ¬0 ≤[i] v) : MeasurableSet i :=
Not.imp_symm (zero_le_restrict_not_measurable _) hi
#align measure_theory.vector_measure.measurable_of_not_zero_le_restrict MeasureTheory.VectorMeasure.measurable_of_not_zero_le_restrict
theorem measurable_of_not_restrict_le_zero (hi : ¬v ≤[i] 0) : MeasurableSet i :=
Not.imp_symm (restrict_le_zero_of_not_measurable _) hi
#align measure_theory.vector_measure.measurable_of_not_restrict_le_zero MeasureTheory.VectorMeasure.measurable_of_not_restrict_le_zero
theorem zero_le_restrict_subset (hi₁ : MeasurableSet i) (hij : j ⊆ i) (hi₂ : 0 ≤[i] v) : 0 ≤[j] v :=
restrict_le_restrict_of_subset_le _ _ fun _ hk₁ hk₂ =>
(restrict_le_restrict_iff _ _ hi₁).1 hi₂ hk₁ (Set.Subset.trans hk₂ hij)
#align measure_theory.vector_measure.zero_le_restrict_subset MeasureTheory.VectorMeasure.zero_le_restrict_subset
theorem restrict_le_zero_subset (hi₁ : MeasurableSet i) (hij : j ⊆ i) (hi₂ : v ≤[i] 0) : v ≤[j] 0 :=
restrict_le_restrict_of_subset_le _ _ fun _ hk₁ hk₂ =>
(restrict_le_restrict_iff _ _ hi₁).1 hi₂ hk₁ (Set.Subset.trans hk₂ hij)
#align measure_theory.vector_measure.restrict_le_zero_subset MeasureTheory.VectorMeasure.restrict_le_zero_subset
end
section
variable {M : Type*} [TopologicalSpace M] [LinearOrderedAddCommMonoid M]
variable (v w : VectorMeasure α M) {i j : Set α}
theorem exists_pos_measure_of_not_restrict_le_zero (hi : ¬v ≤[i] 0) :
∃ j : Set α, MeasurableSet j ∧ j ⊆ i ∧ 0 < v j := by
have hi₁ : MeasurableSet i := measurable_of_not_restrict_le_zero _ hi
rw [restrict_le_restrict_iff _ _ hi₁] at hi
push_neg at hi
exact hi
#align measure_theory.vector_measure.exists_pos_measure_of_not_restrict_le_zero MeasureTheory.VectorMeasure.exists_pos_measure_of_not_restrict_le_zero
end
section
variable {M : Type*} [TopologicalSpace M] [AddCommMonoid M] [PartialOrder M]
[CovariantClass M M (· + ·) (· ≤ ·)] [ContinuousAdd M]
instance covariant_add_le :
CovariantClass (VectorMeasure α M) (VectorMeasure α M) (· + ·) (· ≤ ·) :=
⟨fun _ _ _ h i hi => add_le_add_left (h i hi) _⟩
#align measure_theory.vector_measure.covariant_add_le MeasureTheory.VectorMeasure.covariant_add_le
end
section
variable {L M N : Type*}
variable [AddCommMonoid L] [TopologicalSpace L] [AddCommMonoid M] [TopologicalSpace M]
[AddCommMonoid N] [TopologicalSpace N]
def AbsolutelyContinuous (v : VectorMeasure α M) (w : VectorMeasure α N) :=
∀ ⦃s : Set α⦄, w s = 0 → v s = 0
#align measure_theory.vector_measure.absolutely_continuous MeasureTheory.VectorMeasure.AbsolutelyContinuous
@[inherit_doc VectorMeasure.AbsolutelyContinuous]
scoped[MeasureTheory] infixl:50 " ≪ᵥ " => MeasureTheory.VectorMeasure.AbsolutelyContinuous
open MeasureTheory
def MutuallySingular (v : VectorMeasure α M) (w : VectorMeasure α N) : Prop :=
∃ s : Set α, MeasurableSet s ∧ (∀ t ⊆ s, v t = 0) ∧ ∀ t ⊆ sᶜ, w t = 0
#align measure_theory.vector_measure.mutually_singular MeasureTheory.VectorMeasure.MutuallySingular
@[inherit_doc VectorMeasure.MutuallySingular]
scoped[MeasureTheory] infixl:60 " ⟂ᵥ " => MeasureTheory.VectorMeasure.MutuallySingular
section Trim
@[simps]
def trim {m n : MeasurableSpace α} (v : VectorMeasure α M) (hle : m ≤ n) :
@VectorMeasure α m M _ _ :=
@VectorMeasure.mk α m M _ _
(fun i => if MeasurableSet[m] i then v i else 0)
(by dsimp only; rw [if_pos (@MeasurableSet.empty _ m), v.empty])
(fun i hi => by dsimp only; rw [if_neg hi])
(fun f hf₁ hf₂ => by
dsimp only
have hf₁' : ∀ k, MeasurableSet[n] (f k) := fun k => hle _ (hf₁ k)
convert v.m_iUnion hf₁' hf₂ using 1
· ext n
rw [if_pos (hf₁ n)]
· rw [if_pos (@MeasurableSet.iUnion _ _ m _ _ hf₁)])
#align measure_theory.vector_measure.trim MeasureTheory.VectorMeasure.trim
variable {n : MeasurableSpace α} {v : VectorMeasure α M}
theorem trim_eq_self : v.trim le_rfl = v := by
ext i hi
exact if_pos hi
#align measure_theory.vector_measure.trim_eq_self MeasureTheory.VectorMeasure.trim_eq_self
@[simp]
theorem zero_trim (hle : m ≤ n) : (0 : VectorMeasure α M).trim hle = 0 := by
ext i hi
exact if_pos hi
#align measure_theory.vector_measure.zero_trim MeasureTheory.VectorMeasure.zero_trim
theorem trim_measurableSet_eq (hle : m ≤ n) {i : Set α} (hi : MeasurableSet[m] i) :
v.trim hle i = v i :=
if_pos hi
#align measure_theory.vector_measure.trim_measurable_set_eq MeasureTheory.VectorMeasure.trim_measurableSet_eq
| Mathlib/MeasureTheory/Measure/VectorMeasure.lean | 1,274 | 1,278 | theorem restrict_trim (hle : m ≤ n) {i : Set α} (hi : MeasurableSet[m] i) :
@VectorMeasure.restrict α m M _ _ (v.trim hle) i = (v.restrict i).trim hle := by |
ext j hj
rw [@restrict_apply _ m, trim_measurableSet_eq hle hj, restrict_apply, trim_measurableSet_eq]
all_goals measurability
|
import Mathlib.Algebra.Group.Nat
import Mathlib.Algebra.Order.Sub.Canonical
import Mathlib.Data.List.Perm
import Mathlib.Data.Set.List
import Mathlib.Init.Quot
import Mathlib.Order.Hom.Basic
#align_import data.multiset.basic from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
universe v
open List Subtype Nat Function
variable {α : Type*} {β : Type v} {γ : Type*}
def Multiset.{u} (α : Type u) : Type u :=
Quotient (List.isSetoid α)
#align multiset Multiset
namespace Multiset
-- Porting note: new
@[coe]
def ofList : List α → Multiset α :=
Quot.mk _
instance : Coe (List α) (Multiset α) :=
⟨ofList⟩
@[simp]
theorem quot_mk_to_coe (l : List α) : @Eq (Multiset α) ⟦l⟧ l :=
rfl
#align multiset.quot_mk_to_coe Multiset.quot_mk_to_coe
@[simp]
theorem quot_mk_to_coe' (l : List α) : @Eq (Multiset α) (Quot.mk (· ≈ ·) l) l :=
rfl
#align multiset.quot_mk_to_coe' Multiset.quot_mk_to_coe'
@[simp]
theorem quot_mk_to_coe'' (l : List α) : @Eq (Multiset α) (Quot.mk Setoid.r l) l :=
rfl
#align multiset.quot_mk_to_coe'' Multiset.quot_mk_to_coe''
@[simp]
theorem coe_eq_coe {l₁ l₂ : List α} : (l₁ : Multiset α) = l₂ ↔ l₁ ~ l₂ :=
Quotient.eq
#align multiset.coe_eq_coe Multiset.coe_eq_coe
-- Porting note: new instance;
-- Porting note (#11215): TODO: move to better place
instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ ≈ l₂) :=
inferInstanceAs (Decidable (l₁ ~ l₂))
-- Porting note: `Quotient.recOnSubsingleton₂ s₁ s₂` was in parens which broke elaboration
instance decidableEq [DecidableEq α] : DecidableEq (Multiset α)
| s₁, s₂ => Quotient.recOnSubsingleton₂ s₁ s₂ fun _ _ => decidable_of_iff' _ Quotient.eq
#align multiset.has_decidable_eq Multiset.decidableEq
protected
def sizeOf [SizeOf α] (s : Multiset α) : ℕ :=
(Quot.liftOn s SizeOf.sizeOf) fun _ _ => Perm.sizeOf_eq_sizeOf
#align multiset.sizeof Multiset.sizeOf
instance [SizeOf α] : SizeOf (Multiset α) :=
⟨Multiset.sizeOf⟩
protected def zero : Multiset α :=
@nil α
#align multiset.zero Multiset.zero
instance : Zero (Multiset α) :=
⟨Multiset.zero⟩
instance : EmptyCollection (Multiset α) :=
⟨0⟩
instance inhabitedMultiset : Inhabited (Multiset α) :=
⟨0⟩
#align multiset.inhabited_multiset Multiset.inhabitedMultiset
instance [IsEmpty α] : Unique (Multiset α) where
default := 0
uniq := by rintro ⟨_ | ⟨a, l⟩⟩; exacts [rfl, isEmptyElim a]
@[simp]
theorem coe_nil : (@nil α : Multiset α) = 0 :=
rfl
#align multiset.coe_nil Multiset.coe_nil
@[simp]
theorem empty_eq_zero : (∅ : Multiset α) = 0 :=
rfl
#align multiset.empty_eq_zero Multiset.empty_eq_zero
@[simp]
theorem coe_eq_zero (l : List α) : (l : Multiset α) = 0 ↔ l = [] :=
Iff.trans coe_eq_coe perm_nil
#align multiset.coe_eq_zero Multiset.coe_eq_zero
theorem coe_eq_zero_iff_isEmpty (l : List α) : (l : Multiset α) = 0 ↔ l.isEmpty :=
Iff.trans (coe_eq_zero l) isEmpty_iff_eq_nil.symm
#align multiset.coe_eq_zero_iff_empty Multiset.coe_eq_zero_iff_isEmpty
def cons (a : α) (s : Multiset α) : Multiset α :=
Quot.liftOn s (fun l => (a :: l : Multiset α)) fun _ _ p => Quot.sound (p.cons a)
#align multiset.cons Multiset.cons
@[inherit_doc Multiset.cons]
infixr:67 " ::ₘ " => Multiset.cons
instance : Insert α (Multiset α) :=
⟨cons⟩
@[simp]
theorem insert_eq_cons (a : α) (s : Multiset α) : insert a s = a ::ₘ s :=
rfl
#align multiset.insert_eq_cons Multiset.insert_eq_cons
@[simp]
theorem cons_coe (a : α) (l : List α) : (a ::ₘ l : Multiset α) = (a :: l : List α) :=
rfl
#align multiset.cons_coe Multiset.cons_coe
@[simp]
theorem cons_inj_left {a b : α} (s : Multiset α) : a ::ₘ s = b ::ₘ s ↔ a = b :=
⟨Quot.inductionOn s fun l e =>
have : [a] ++ l ~ [b] ++ l := Quotient.exact e
singleton_perm_singleton.1 <| (perm_append_right_iff _).1 this,
congr_arg (· ::ₘ _)⟩
#align multiset.cons_inj_left Multiset.cons_inj_left
@[simp]
theorem cons_inj_right (a : α) : ∀ {s t : Multiset α}, a ::ₘ s = a ::ₘ t ↔ s = t := by
rintro ⟨l₁⟩ ⟨l₂⟩; simp
#align multiset.cons_inj_right Multiset.cons_inj_right
@[elab_as_elim]
protected theorem induction {p : Multiset α → Prop} (empty : p 0)
(cons : ∀ (a : α) (s : Multiset α), p s → p (a ::ₘ s)) : ∀ s, p s := by
rintro ⟨l⟩; induction' l with _ _ ih <;> [exact empty; exact cons _ _ ih]
#align multiset.induction Multiset.induction
@[elab_as_elim]
protected theorem induction_on {p : Multiset α → Prop} (s : Multiset α) (empty : p 0)
(cons : ∀ (a : α) (s : Multiset α), p s → p (a ::ₘ s)) : p s :=
Multiset.induction empty cons s
#align multiset.induction_on Multiset.induction_on
theorem cons_swap (a b : α) (s : Multiset α) : a ::ₘ b ::ₘ s = b ::ₘ a ::ₘ s :=
Quot.inductionOn s fun _ => Quotient.sound <| Perm.swap _ _ _
#align multiset.cons_swap Multiset.cons_swap
instance : Singleton α (Multiset α) :=
⟨fun a => a ::ₘ 0⟩
instance : LawfulSingleton α (Multiset α) :=
⟨fun _ => rfl⟩
@[simp]
theorem cons_zero (a : α) : a ::ₘ 0 = {a} :=
rfl
#align multiset.cons_zero Multiset.cons_zero
@[simp, norm_cast]
theorem coe_singleton (a : α) : ([a] : Multiset α) = {a} :=
rfl
#align multiset.coe_singleton Multiset.coe_singleton
@[simp]
theorem mem_singleton {a b : α} : b ∈ ({a} : Multiset α) ↔ b = a := by
simp only [← cons_zero, mem_cons, iff_self_iff, or_false_iff, not_mem_zero]
#align multiset.mem_singleton Multiset.mem_singleton
theorem mem_singleton_self (a : α) : a ∈ ({a} : Multiset α) := by
rw [← cons_zero]
exact mem_cons_self _ _
#align multiset.mem_singleton_self Multiset.mem_singleton_self
@[simp]
theorem singleton_inj {a b : α} : ({a} : Multiset α) = {b} ↔ a = b := by
simp_rw [← cons_zero]
exact cons_inj_left _
#align multiset.singleton_inj Multiset.singleton_inj
@[simp, norm_cast]
theorem coe_eq_singleton {l : List α} {a : α} : (l : Multiset α) = {a} ↔ l = [a] := by
rw [← coe_singleton, coe_eq_coe, List.perm_singleton]
#align multiset.coe_eq_singleton Multiset.coe_eq_singleton
@[simp]
theorem singleton_eq_cons_iff {a b : α} (m : Multiset α) : {a} = b ::ₘ m ↔ a = b ∧ m = 0 := by
rw [← cons_zero, cons_eq_cons]
simp [eq_comm]
#align multiset.singleton_eq_cons_iff Multiset.singleton_eq_cons_iff
theorem pair_comm (x y : α) : ({x, y} : Multiset α) = {y, x} :=
cons_swap x y 0
#align multiset.pair_comm Multiset.pair_comm
protected def Le (s t : Multiset α) : Prop :=
(Quotient.liftOn₂ s t (· <+~ ·)) fun _ _ _ _ p₁ p₂ =>
propext (p₂.subperm_left.trans p₁.subperm_right)
#align multiset.le Multiset.Le
instance : PartialOrder (Multiset α) where
le := Multiset.Le
le_refl := by rintro ⟨l⟩; exact Subperm.refl _
le_trans := by rintro ⟨l₁⟩ ⟨l₂⟩ ⟨l₃⟩; exact @Subperm.trans _ _ _ _
le_antisymm := by rintro ⟨l₁⟩ ⟨l₂⟩ h₁ h₂; exact Quot.sound (Subperm.antisymm h₁ h₂)
instance decidableLE [DecidableEq α] : DecidableRel ((· ≤ ·) : Multiset α → Multiset α → Prop) :=
fun s t => Quotient.recOnSubsingleton₂ s t List.decidableSubperm
#align multiset.decidable_le Multiset.decidableLE
section
variable {s t : Multiset α} {a : α}
theorem subset_of_le : s ≤ t → s ⊆ t :=
Quotient.inductionOn₂ s t fun _ _ => Subperm.subset
#align multiset.subset_of_le Multiset.subset_of_le
alias Le.subset := subset_of_le
#align multiset.le.subset Multiset.Le.subset
theorem mem_of_le (h : s ≤ t) : a ∈ s → a ∈ t :=
mem_of_subset (subset_of_le h)
#align multiset.mem_of_le Multiset.mem_of_le
theorem not_mem_mono (h : s ⊆ t) : a ∉ t → a ∉ s :=
mt <| @h _
#align multiset.not_mem_mono Multiset.not_mem_mono
@[simp]
theorem coe_le {l₁ l₂ : List α} : (l₁ : Multiset α) ≤ l₂ ↔ l₁ <+~ l₂ :=
Iff.rfl
#align multiset.coe_le Multiset.coe_le
@[elab_as_elim]
theorem leInductionOn {C : Multiset α → Multiset α → Prop} {s t : Multiset α} (h : s ≤ t)
(H : ∀ {l₁ l₂ : List α}, l₁ <+ l₂ → C l₁ l₂) : C s t :=
Quotient.inductionOn₂ s t (fun l₁ _ ⟨l, p, s⟩ => (show ⟦l⟧ = ⟦l₁⟧ from Quot.sound p) ▸ H s) h
#align multiset.le_induction_on Multiset.leInductionOn
theorem zero_le (s : Multiset α) : 0 ≤ s :=
Quot.inductionOn s fun l => (nil_sublist l).subperm
#align multiset.zero_le Multiset.zero_le
instance : OrderBot (Multiset α) where
bot := 0
bot_le := zero_le
@[simp]
theorem bot_eq_zero : (⊥ : Multiset α) = 0 :=
rfl
#align multiset.bot_eq_zero Multiset.bot_eq_zero
theorem le_zero : s ≤ 0 ↔ s = 0 :=
le_bot_iff
#align multiset.le_zero Multiset.le_zero
theorem lt_cons_self (s : Multiset α) (a : α) : s < a ::ₘ s :=
Quot.inductionOn s fun l =>
suffices l <+~ a :: l ∧ ¬l ~ a :: l by simpa [lt_iff_le_and_ne]
⟨(sublist_cons _ _).subperm, fun p => _root_.ne_of_lt (lt_succ_self (length l)) p.length_eq⟩
#align multiset.lt_cons_self Multiset.lt_cons_self
theorem le_cons_self (s : Multiset α) (a : α) : s ≤ a ::ₘ s :=
le_of_lt <| lt_cons_self _ _
#align multiset.le_cons_self Multiset.le_cons_self
theorem cons_le_cons_iff (a : α) : a ::ₘ s ≤ a ::ₘ t ↔ s ≤ t :=
Quotient.inductionOn₂ s t fun _ _ => subperm_cons a
#align multiset.cons_le_cons_iff Multiset.cons_le_cons_iff
theorem cons_le_cons (a : α) : s ≤ t → a ::ₘ s ≤ a ::ₘ t :=
(cons_le_cons_iff a).2
#align multiset.cons_le_cons Multiset.cons_le_cons
@[simp] lemma cons_lt_cons_iff : a ::ₘ s < a ::ₘ t ↔ s < t :=
lt_iff_lt_of_le_iff_le' (cons_le_cons_iff _) (cons_le_cons_iff _)
lemma cons_lt_cons (a : α) (h : s < t) : a ::ₘ s < a ::ₘ t := cons_lt_cons_iff.2 h
theorem le_cons_of_not_mem (m : a ∉ s) : s ≤ a ::ₘ t ↔ s ≤ t := by
refine ⟨?_, fun h => le_trans h <| le_cons_self _ _⟩
suffices ∀ {t'}, s ≤ t' → a ∈ t' → a ::ₘ s ≤ t' by
exact fun h => (cons_le_cons_iff a).1 (this h (mem_cons_self _ _))
introv h
revert m
refine leInductionOn h ?_
introv s m₁ m₂
rcases append_of_mem m₂ with ⟨r₁, r₂, rfl⟩
exact
perm_middle.subperm_left.2
((subperm_cons _).2 <| ((sublist_or_mem_of_sublist s).resolve_right m₁).subperm)
#align multiset.le_cons_of_not_mem Multiset.le_cons_of_not_mem
@[simp]
theorem singleton_ne_zero (a : α) : ({a} : Multiset α) ≠ 0 :=
ne_of_gt (lt_cons_self _ _)
#align multiset.singleton_ne_zero Multiset.singleton_ne_zero
@[simp]
theorem singleton_le {a : α} {s : Multiset α} : {a} ≤ s ↔ a ∈ s :=
⟨fun h => mem_of_le h (mem_singleton_self _), fun h =>
let ⟨_t, e⟩ := exists_cons_of_mem h
e.symm ▸ cons_le_cons _ (zero_le _)⟩
#align multiset.singleton_le Multiset.singleton_le
@[simp] lemma le_singleton : s ≤ {a} ↔ s = 0 ∨ s = {a} :=
Quot.induction_on s fun l ↦ by simp only [cons_zero, ← coe_singleton, quot_mk_to_coe'', coe_le,
coe_eq_zero, coe_eq_coe, perm_singleton, subperm_singleton_iff]
@[simp] lemma lt_singleton : s < {a} ↔ s = 0 := by
simp only [lt_iff_le_and_ne, le_singleton, or_and_right, Ne, and_not_self, or_false,
and_iff_left_iff_imp]
rintro rfl
exact (singleton_ne_zero _).symm
@[simp] lemma ssubset_singleton_iff : s ⊂ {a} ↔ s = 0 := by
refine ⟨fun hs ↦ eq_zero_of_subset_zero fun b hb ↦ (hs.2 ?_).elim, ?_⟩
· obtain rfl := mem_singleton.1 (hs.1 hb)
rwa [singleton_subset]
· rintro rfl
simp
end
protected def add (s₁ s₂ : Multiset α) : Multiset α :=
(Quotient.liftOn₂ s₁ s₂ fun l₁ l₂ => ((l₁ ++ l₂ : List α) : Multiset α)) fun _ _ _ _ p₁ p₂ =>
Quot.sound <| p₁.append p₂
#align multiset.add Multiset.add
instance : Add (Multiset α) :=
⟨Multiset.add⟩
@[simp]
theorem coe_add (s t : List α) : (s + t : Multiset α) = (s ++ t : List α) :=
rfl
#align multiset.coe_add Multiset.coe_add
@[simp]
theorem singleton_add (a : α) (s : Multiset α) : {a} + s = a ::ₘ s :=
rfl
#align multiset.singleton_add Multiset.singleton_add
private theorem add_le_add_iff_left' {s t u : Multiset α} : s + t ≤ s + u ↔ t ≤ u :=
Quotient.inductionOn₃ s t u fun _ _ _ => subperm_append_left _
instance : CovariantClass (Multiset α) (Multiset α) (· + ·) (· ≤ ·) :=
⟨fun _s _t _u => add_le_add_iff_left'.2⟩
instance : ContravariantClass (Multiset α) (Multiset α) (· + ·) (· ≤ ·) :=
⟨fun _s _t _u => add_le_add_iff_left'.1⟩
instance : OrderedCancelAddCommMonoid (Multiset α) where
zero := 0
add := (· + ·)
add_comm := fun s t => Quotient.inductionOn₂ s t fun l₁ l₂ => Quot.sound perm_append_comm
add_assoc := fun s₁ s₂ s₃ =>
Quotient.inductionOn₃ s₁ s₂ s₃ fun l₁ l₂ l₃ => congr_arg _ <| append_assoc l₁ l₂ l₃
zero_add := fun s => Quot.inductionOn s fun l => rfl
add_zero := fun s => Quotient.inductionOn s fun l => congr_arg _ <| append_nil l
add_le_add_left := fun s₁ s₂ => add_le_add_left
le_of_add_le_add_left := fun s₁ s₂ s₃ => le_of_add_le_add_left
nsmul := nsmulRec
theorem le_add_right (s t : Multiset α) : s ≤ s + t := by simpa using add_le_add_left (zero_le t) s
#align multiset.le_add_right Multiset.le_add_right
theorem le_add_left (s t : Multiset α) : s ≤ t + s := by simpa using add_le_add_right (zero_le t) s
#align multiset.le_add_left Multiset.le_add_left
theorem le_iff_exists_add {s t : Multiset α} : s ≤ t ↔ ∃ u, t = s + u :=
⟨fun h =>
leInductionOn h fun s =>
let ⟨l, p⟩ := s.exists_perm_append
⟨l, Quot.sound p⟩,
fun ⟨_u, e⟩ => e.symm ▸ le_add_right _ _⟩
#align multiset.le_iff_exists_add Multiset.le_iff_exists_add
instance : CanonicallyOrderedAddCommMonoid (Multiset α) where
__ := inferInstanceAs (OrderBot (Multiset α))
le_self_add := le_add_right
exists_add_of_le h := leInductionOn h fun s =>
let ⟨l, p⟩ := s.exists_perm_append
⟨l, Quot.sound p⟩
@[simp]
theorem cons_add (a : α) (s t : Multiset α) : a ::ₘ s + t = a ::ₘ (s + t) := by
rw [← singleton_add, ← singleton_add, add_assoc]
#align multiset.cons_add Multiset.cons_add
@[simp]
theorem add_cons (a : α) (s t : Multiset α) : s + a ::ₘ t = a ::ₘ (s + t) := by
rw [add_comm, cons_add, add_comm]
#align multiset.add_cons Multiset.add_cons
@[simp]
theorem mem_add {a : α} {s t : Multiset α} : a ∈ s + t ↔ a ∈ s ∨ a ∈ t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => mem_append
#align multiset.mem_add Multiset.mem_add
theorem mem_of_mem_nsmul {a : α} {s : Multiset α} {n : ℕ} (h : a ∈ n • s) : a ∈ s := by
induction' n with n ih
· rw [zero_nsmul] at h
exact absurd h (not_mem_zero _)
· rw [succ_nsmul, mem_add] at h
exact h.elim ih id
#align multiset.mem_of_mem_nsmul Multiset.mem_of_mem_nsmul
@[simp]
theorem mem_nsmul {a : α} {s : Multiset α} {n : ℕ} (h0 : n ≠ 0) : a ∈ n • s ↔ a ∈ s := by
refine ⟨mem_of_mem_nsmul, fun h => ?_⟩
obtain ⟨n, rfl⟩ := exists_eq_succ_of_ne_zero h0
rw [succ_nsmul, mem_add]
exact Or.inr h
#align multiset.mem_nsmul Multiset.mem_nsmul
theorem nsmul_cons {s : Multiset α} (n : ℕ) (a : α) :
n • (a ::ₘ s) = n • ({a} : Multiset α) + n • s := by
rw [← singleton_add, nsmul_add]
#align multiset.nsmul_cons Multiset.nsmul_cons
def card : Multiset α →+ ℕ where
toFun s := (Quot.liftOn s length) fun _l₁ _l₂ => Perm.length_eq
map_zero' := rfl
map_add' s t := Quotient.inductionOn₂ s t length_append
#align multiset.card Multiset.card
@[simp]
theorem coe_card (l : List α) : card (l : Multiset α) = length l :=
rfl
#align multiset.coe_card Multiset.coe_card
@[simp]
theorem length_toList (s : Multiset α) : s.toList.length = card s := by
rw [← coe_card, coe_toList]
#align multiset.length_to_list Multiset.length_toList
@[simp, nolint simpNF] -- Porting note (#10675): `dsimp` can not prove this, yet linter complains
theorem card_zero : @card α 0 = 0 :=
rfl
#align multiset.card_zero Multiset.card_zero
theorem card_add (s t : Multiset α) : card (s + t) = card s + card t :=
card.map_add s t
#align multiset.card_add Multiset.card_add
theorem card_nsmul (s : Multiset α) (n : ℕ) : card (n • s) = n * card s := by
rw [card.map_nsmul s n, Nat.nsmul_eq_mul]
#align multiset.card_nsmul Multiset.card_nsmul
@[simp]
theorem card_cons (a : α) (s : Multiset α) : card (a ::ₘ s) = card s + 1 :=
Quot.inductionOn s fun _l => rfl
#align multiset.card_cons Multiset.card_cons
@[simp]
theorem card_singleton (a : α) : card ({a} : Multiset α) = 1 := by
simp only [← cons_zero, card_zero, eq_self_iff_true, zero_add, card_cons]
#align multiset.card_singleton Multiset.card_singleton
theorem card_pair (a b : α) : card {a, b} = 2 := by
rw [insert_eq_cons, card_cons, card_singleton]
#align multiset.card_pair Multiset.card_pair
theorem card_eq_one {s : Multiset α} : card s = 1 ↔ ∃ a, s = {a} :=
⟨Quot.inductionOn s fun _l h => (List.length_eq_one.1 h).imp fun _a => congr_arg _,
fun ⟨_a, e⟩ => e.symm ▸ rfl⟩
#align multiset.card_eq_one Multiset.card_eq_one
theorem card_le_card {s t : Multiset α} (h : s ≤ t) : card s ≤ card t :=
leInductionOn h Sublist.length_le
#align multiset.card_le_of_le Multiset.card_le_card
@[mono]
theorem card_mono : Monotone (@card α) := fun _a _b => card_le_card
#align multiset.card_mono Multiset.card_mono
theorem eq_of_le_of_card_le {s t : Multiset α} (h : s ≤ t) : card t ≤ card s → s = t :=
leInductionOn h fun s h₂ => congr_arg _ <| s.eq_of_length_le h₂
#align multiset.eq_of_le_of_card_le Multiset.eq_of_le_of_card_le
theorem card_lt_card {s t : Multiset α} (h : s < t) : card s < card t :=
lt_of_not_ge fun h₂ => _root_.ne_of_lt h <| eq_of_le_of_card_le (le_of_lt h) h₂
#align multiset.card_lt_card Multiset.card_lt_card
lemma card_strictMono : StrictMono (card : Multiset α → ℕ) := fun _ _ ↦ card_lt_card
theorem lt_iff_cons_le {s t : Multiset α} : s < t ↔ ∃ a, a ::ₘ s ≤ t :=
⟨Quotient.inductionOn₂ s t fun _l₁ _l₂ h =>
Subperm.exists_of_length_lt (le_of_lt h) (card_lt_card h),
fun ⟨_a, h⟩ => lt_of_lt_of_le (lt_cons_self _ _) h⟩
#align multiset.lt_iff_cons_le Multiset.lt_iff_cons_le
@[simp]
theorem card_eq_zero {s : Multiset α} : card s = 0 ↔ s = 0 :=
⟨fun h => (eq_of_le_of_card_le (zero_le _) (le_of_eq h)).symm, fun e => by simp [e]⟩
#align multiset.card_eq_zero Multiset.card_eq_zero
theorem card_pos {s : Multiset α} : 0 < card s ↔ s ≠ 0 :=
Nat.pos_iff_ne_zero.trans <| not_congr card_eq_zero
#align multiset.card_pos Multiset.card_pos
theorem card_pos_iff_exists_mem {s : Multiset α} : 0 < card s ↔ ∃ a, a ∈ s :=
Quot.inductionOn s fun _l => length_pos_iff_exists_mem
#align multiset.card_pos_iff_exists_mem Multiset.card_pos_iff_exists_mem
theorem card_eq_two {s : Multiset α} : card s = 2 ↔ ∃ x y, s = {x, y} :=
⟨Quot.inductionOn s fun _l h =>
(List.length_eq_two.mp h).imp fun _a => Exists.imp fun _b => congr_arg _,
fun ⟨_a, _b, e⟩ => e.symm ▸ rfl⟩
#align multiset.card_eq_two Multiset.card_eq_two
theorem card_eq_three {s : Multiset α} : card s = 3 ↔ ∃ x y z, s = {x, y, z} :=
⟨Quot.inductionOn s fun _l h =>
(List.length_eq_three.mp h).imp fun _a =>
Exists.imp fun _b => Exists.imp fun _c => congr_arg _,
fun ⟨_a, _b, _c, e⟩ => e.symm ▸ rfl⟩
#align multiset.card_eq_three Multiset.card_eq_three
@[elab_as_elim]
def strongInductionOn {p : Multiset α → Sort*} (s : Multiset α) (ih : ∀ s, (∀ t < s, p t) → p s) :
p s :=
(ih s) fun t _h =>
strongInductionOn t ih
termination_by card s
decreasing_by exact card_lt_card _h
#align multiset.strong_induction_on Multiset.strongInductionOnₓ -- Porting note: reorderd universes
theorem strongInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) (H) :
@strongInductionOn _ p s H = H s fun t _h => @strongInductionOn _ p t H := by
rw [strongInductionOn]
#align multiset.strong_induction_eq Multiset.strongInductionOn_eq
@[elab_as_elim]
theorem case_strongInductionOn {p : Multiset α → Prop} (s : Multiset α) (h₀ : p 0)
(h₁ : ∀ a s, (∀ t ≤ s, p t) → p (a ::ₘ s)) : p s :=
Multiset.strongInductionOn s fun s =>
Multiset.induction_on s (fun _ => h₀) fun _a _s _ ih =>
(h₁ _ _) fun _t h => ih _ <| lt_of_le_of_lt h <| lt_cons_self _ _
#align multiset.case_strong_induction_on Multiset.case_strongInductionOn
def strongDownwardInduction {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
card s ≤ n → p s :=
H s fun {t} ht _h =>
strongDownwardInduction H t ht
termination_by n - card s
decreasing_by simp_wf; have := (card_lt_card _h); omega
-- Porting note: reorderd universes
#align multiset.strong_downward_induction Multiset.strongDownwardInductionₓ
theorem strongDownwardInduction_eq {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
strongDownwardInduction H s = H s fun ht _hst => strongDownwardInduction H _ ht := by
rw [strongDownwardInduction]
#align multiset.strong_downward_induction_eq Multiset.strongDownwardInduction_eq
@[elab_as_elim]
def strongDownwardInductionOn {p : Multiset α → Sort*} {n : ℕ} :
∀ s : Multiset α,
(∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) →
card s ≤ n → p s :=
fun s H => strongDownwardInduction H s
#align multiset.strong_downward_induction_on Multiset.strongDownwardInductionOn
theorem strongDownwardInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) :
s.strongDownwardInductionOn H = H s fun {t} ht _h => t.strongDownwardInductionOn H ht := by
dsimp only [strongDownwardInductionOn]
rw [strongDownwardInduction]
#align multiset.strong_downward_induction_on_eq Multiset.strongDownwardInductionOn_eq
#align multiset.well_founded_lt wellFounded_lt
instance instWellFoundedLT : WellFoundedLT (Multiset α) :=
⟨Subrelation.wf Multiset.card_lt_card (measure Multiset.card).2⟩
#align multiset.is_well_founded_lt Multiset.instWellFoundedLT
def replicate (n : ℕ) (a : α) : Multiset α :=
List.replicate n a
#align multiset.replicate Multiset.replicate
theorem coe_replicate (n : ℕ) (a : α) : (List.replicate n a : Multiset α) = replicate n a := rfl
#align multiset.coe_replicate Multiset.coe_replicate
@[simp] theorem replicate_zero (a : α) : replicate 0 a = 0 := rfl
#align multiset.replicate_zero Multiset.replicate_zero
@[simp] theorem replicate_succ (a : α) (n) : replicate (n + 1) a = a ::ₘ replicate n a := rfl
#align multiset.replicate_succ Multiset.replicate_succ
theorem replicate_add (m n : ℕ) (a : α) : replicate (m + n) a = replicate m a + replicate n a :=
congr_arg _ <| List.replicate_add ..
#align multiset.replicate_add Multiset.replicate_add
@[simps]
def replicateAddMonoidHom (a : α) : ℕ →+ Multiset α where
toFun := fun n => replicate n a
map_zero' := replicate_zero a
map_add' := fun _ _ => replicate_add _ _ a
#align multiset.replicate_add_monoid_hom Multiset.replicateAddMonoidHom
#align multiset.replicate_add_monoid_hom_apply Multiset.replicateAddMonoidHom_apply
theorem replicate_one (a : α) : replicate 1 a = {a} := rfl
#align multiset.replicate_one Multiset.replicate_one
@[simp] theorem card_replicate (n) (a : α) : card (replicate n a) = n :=
length_replicate n a
#align multiset.card_replicate Multiset.card_replicate
theorem mem_replicate {a b : α} {n : ℕ} : b ∈ replicate n a ↔ n ≠ 0 ∧ b = a :=
List.mem_replicate
#align multiset.mem_replicate Multiset.mem_replicate
theorem eq_of_mem_replicate {a b : α} {n} : b ∈ replicate n a → b = a :=
List.eq_of_mem_replicate
#align multiset.eq_of_mem_replicate Multiset.eq_of_mem_replicate
theorem eq_replicate_card {a : α} {s : Multiset α} : s = replicate (card s) a ↔ ∀ b ∈ s, b = a :=
Quot.inductionOn s fun _l => coe_eq_coe.trans <| perm_replicate.trans eq_replicate_length
#align multiset.eq_replicate_card Multiset.eq_replicate_card
alias ⟨_, eq_replicate_of_mem⟩ := eq_replicate_card
#align multiset.eq_replicate_of_mem Multiset.eq_replicate_of_mem
theorem eq_replicate {a : α} {n} {s : Multiset α} :
s = replicate n a ↔ card s = n ∧ ∀ b ∈ s, b = a :=
⟨fun h => h.symm ▸ ⟨card_replicate _ _, fun _b => eq_of_mem_replicate⟩,
fun ⟨e, al⟩ => e ▸ eq_replicate_of_mem al⟩
#align multiset.eq_replicate Multiset.eq_replicate
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 multiset.replicate_right_injective Multiset.replicate_right_injective
@[simp] theorem replicate_right_inj {a b : α} {n : ℕ} (h : n ≠ 0) :
replicate n a = replicate n b ↔ a = b :=
(replicate_right_injective h).eq_iff
#align multiset.replicate_right_inj Multiset.replicate_right_inj
theorem replicate_left_injective (a : α) : Injective (replicate · a) :=
-- Porting note: was `fun m n h => by rw [← (eq_replicate.1 h).1, card_replicate]`
LeftInverse.injective (card_replicate · a)
#align multiset.replicate_left_injective Multiset.replicate_left_injective
theorem replicate_subset_singleton (n : ℕ) (a : α) : replicate n a ⊆ {a} :=
List.replicate_subset_singleton n a
#align multiset.replicate_subset_singleton Multiset.replicate_subset_singleton
theorem replicate_le_coe {a : α} {n} {l : List α} : replicate n a ≤ l ↔ List.replicate n a <+ l :=
⟨fun ⟨_l', p, s⟩ => perm_replicate.1 p ▸ s, Sublist.subperm⟩
#align multiset.replicate_le_coe Multiset.replicate_le_coe
theorem nsmul_replicate {a : α} (n m : ℕ) : n • replicate m a = replicate (n * m) a :=
((replicateAddMonoidHom a).map_nsmul _ _).symm
#align multiset.nsmul_replicate Multiset.nsmul_replicate
theorem nsmul_singleton (a : α) (n) : n • ({a} : Multiset α) = replicate n a := by
rw [← replicate_one, nsmul_replicate, mul_one]
#align multiset.nsmul_singleton Multiset.nsmul_singleton
theorem replicate_le_replicate (a : α) {k n : ℕ} : replicate k a ≤ replicate n a ↔ k ≤ n :=
_root_.trans (by rw [← replicate_le_coe, coe_replicate]) (List.replicate_sublist_replicate a)
#align multiset.replicate_le_replicate Multiset.replicate_le_replicate
theorem le_replicate_iff {m : Multiset α} {a : α} {n : ℕ} :
m ≤ replicate n a ↔ ∃ k ≤ n, m = replicate k a :=
⟨fun h => ⟨card m, (card_mono h).trans_eq (card_replicate _ _),
eq_replicate_card.2 fun _ hb => eq_of_mem_replicate <| subset_of_le h hb⟩,
fun ⟨_, hkn, hm⟩ => hm.symm ▸ (replicate_le_replicate _).2 hkn⟩
#align multiset.le_replicate_iff Multiset.le_replicate_iff
theorem lt_replicate_succ {m : Multiset α} {x : α} {n : ℕ} :
m < replicate (n + 1) x ↔ m ≤ replicate n x := by
rw [lt_iff_cons_le]
constructor
· rintro ⟨x', hx'⟩
have := eq_of_mem_replicate (mem_of_le hx' (mem_cons_self _ _))
rwa [this, replicate_succ, cons_le_cons_iff] at hx'
· intro h
rw [replicate_succ]
exact ⟨x, cons_le_cons _ h⟩
#align multiset.lt_replicate_succ Multiset.lt_replicate_succ
@[simp]
theorem coe_reverse (l : List α) : (reverse l : Multiset α) = l :=
Quot.sound <| reverse_perm _
#align multiset.coe_reverse Multiset.coe_reverse
def map (f : α → β) (s : Multiset α) : Multiset β :=
Quot.liftOn s (fun l : List α => (l.map f : Multiset β)) fun _l₁ _l₂ p => Quot.sound (p.map f)
#align multiset.map Multiset.map
@[congr]
theorem map_congr {f g : α → β} {s t : Multiset α} :
s = t → (∀ x ∈ t, f x = g x) → map f s = map g t := by
rintro rfl h
induction s using Quot.inductionOn
exact congr_arg _ (List.map_congr h)
#align multiset.map_congr Multiset.map_congr
theorem map_hcongr {β' : Type v} {m : Multiset α} {f : α → β} {f' : α → β'} (h : β = β')
(hf : ∀ a ∈ m, HEq (f a) (f' a)) : HEq (map f m) (map f' m) := by
subst h; simp at hf
simp [map_congr rfl hf]
#align multiset.map_hcongr Multiset.map_hcongr
theorem forall_mem_map_iff {f : α → β} {p : β → Prop} {s : Multiset α} :
(∀ y ∈ s.map f, p y) ↔ ∀ x ∈ s, p (f x) :=
Quotient.inductionOn' s fun _L => List.forall_mem_map_iff
#align multiset.forall_mem_map_iff Multiset.forall_mem_map_iff
@[simp, norm_cast] lemma map_coe (f : α → β) (l : List α) : map f l = l.map f := rfl
#align multiset.coe_map Multiset.map_coe
@[simp]
theorem map_zero (f : α → β) : map f 0 = 0 :=
rfl
#align multiset.map_zero Multiset.map_zero
@[simp]
theorem map_cons (f : α → β) (a s) : map f (a ::ₘ s) = f a ::ₘ map f s :=
Quot.inductionOn s fun _l => rfl
#align multiset.map_cons Multiset.map_cons
theorem map_comp_cons (f : α → β) (t) : map f ∘ cons t = cons (f t) ∘ map f := by
ext
simp
#align multiset.map_comp_cons Multiset.map_comp_cons
@[simp]
theorem map_singleton (f : α → β) (a : α) : ({a} : Multiset α).map f = {f a} :=
rfl
#align multiset.map_singleton Multiset.map_singleton
@[simp]
theorem map_replicate (f : α → β) (k : ℕ) (a : α) : (replicate k a).map f = replicate k (f a) := by
simp only [← coe_replicate, map_coe, List.map_replicate]
#align multiset.map_replicate Multiset.map_replicate
@[simp]
theorem map_add (f : α → β) (s t) : map f (s + t) = map f s + map f t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => congr_arg _ <| map_append _ _ _
#align multiset.map_add Multiset.map_add
instance canLift (c) (p) [CanLift α β c p] :
CanLift (Multiset α) (Multiset β) (map c) fun s => ∀ x ∈ s, p x where
prf := by
rintro ⟨l⟩ hl
lift l to List β using hl
exact ⟨l, map_coe _ _⟩
#align multiset.can_lift Multiset.canLift
def mapAddMonoidHom (f : α → β) : Multiset α →+ Multiset β where
toFun := map f
map_zero' := map_zero _
map_add' := map_add _
#align multiset.map_add_monoid_hom Multiset.mapAddMonoidHom
@[simp]
theorem coe_mapAddMonoidHom (f : α → β) :
(mapAddMonoidHom f : Multiset α → Multiset β) = map f :=
rfl
#align multiset.coe_map_add_monoid_hom Multiset.coe_mapAddMonoidHom
theorem map_nsmul (f : α → β) (n : ℕ) (s) : map f (n • s) = n • map f s :=
(mapAddMonoidHom f).map_nsmul _ _
#align multiset.map_nsmul Multiset.map_nsmul
@[simp]
theorem mem_map {f : α → β} {b : β} {s : Multiset α} : b ∈ map f s ↔ ∃ a, a ∈ s ∧ f a = b :=
Quot.inductionOn s fun _l => List.mem_map
#align multiset.mem_map Multiset.mem_map
@[simp]
theorem card_map (f : α → β) (s) : card (map f s) = card s :=
Quot.inductionOn s fun _l => length_map _ _
#align multiset.card_map Multiset.card_map
@[simp]
theorem map_eq_zero {s : Multiset α} {f : α → β} : s.map f = 0 ↔ s = 0 := by
rw [← Multiset.card_eq_zero, Multiset.card_map, Multiset.card_eq_zero]
#align multiset.map_eq_zero Multiset.map_eq_zero
theorem mem_map_of_mem (f : α → β) {a : α} {s : Multiset α} (h : a ∈ s) : f a ∈ map f s :=
mem_map.2 ⟨_, h, rfl⟩
#align multiset.mem_map_of_mem Multiset.mem_map_of_mem
theorem map_eq_singleton {f : α → β} {s : Multiset α} {b : β} :
map f s = {b} ↔ ∃ a : α, s = {a} ∧ f a = b := by
constructor
· intro h
obtain ⟨a, ha⟩ : ∃ a, s = {a} := by rw [← card_eq_one, ← card_map, h, card_singleton]
refine ⟨a, ha, ?_⟩
rw [← mem_singleton, ← h, ha, map_singleton, mem_singleton]
· rintro ⟨a, rfl, rfl⟩
simp
#align multiset.map_eq_singleton Multiset.map_eq_singleton
theorem map_eq_cons [DecidableEq α] (f : α → β) (s : Multiset α) (t : Multiset β) (b : β) :
(∃ a ∈ s, f a = b ∧ (s.erase a).map f = t) ↔ s.map f = b ::ₘ t := by
constructor
· rintro ⟨a, ha, rfl, rfl⟩
rw [← map_cons, Multiset.cons_erase ha]
· intro h
have : b ∈ s.map f := by
rw [h]
exact mem_cons_self _ _
obtain ⟨a, h1, rfl⟩ := mem_map.mp this
obtain ⟨u, rfl⟩ := exists_cons_of_mem h1
rw [map_cons, cons_inj_right] at h
refine ⟨a, mem_cons_self _ _, rfl, ?_⟩
rw [Multiset.erase_cons_head, h]
#align multiset.map_eq_cons Multiset.map_eq_cons
-- The simpNF linter says that the LHS can be simplified via `Multiset.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 : Function.Injective f) {a : α} {s : Multiset α} :
f a ∈ map f s ↔ a ∈ s :=
Quot.inductionOn s fun _l => List.mem_map_of_injective H
#align multiset.mem_map_of_injective Multiset.mem_map_of_injective
@[simp]
theorem map_map (g : β → γ) (f : α → β) (s : Multiset α) : map g (map f s) = map (g ∘ f) s :=
Quot.inductionOn s fun _l => congr_arg _ <| List.map_map _ _ _
#align multiset.map_map Multiset.map_map
theorem map_id (s : Multiset α) : map id s = s :=
Quot.inductionOn s fun _l => congr_arg _ <| List.map_id _
#align multiset.map_id Multiset.map_id
@[simp]
theorem map_id' (s : Multiset α) : map (fun x => x) s = s :=
map_id s
#align multiset.map_id' Multiset.map_id'
-- Porting note: was a `simp` lemma in mathlib3
theorem map_const (s : Multiset α) (b : β) : map (const α b) s = replicate (card s) b :=
Quot.inductionOn s fun _ => congr_arg _ <| List.map_const' _ _
#align multiset.map_const Multiset.map_const
-- Porting note: was not a `simp` lemma in mathlib3 because `Function.const` was reducible
@[simp] theorem map_const' (s : Multiset α) (b : β) : map (fun _ ↦ b) s = replicate (card s) b :=
map_const _ _
#align multiset.map_const' Multiset.map_const'
theorem eq_of_mem_map_const {b₁ b₂ : β} {l : List α} (h : b₁ ∈ map (Function.const α b₂) l) :
b₁ = b₂ :=
eq_of_mem_replicate <| by rwa [map_const] at h
#align multiset.eq_of_mem_map_const Multiset.eq_of_mem_map_const
@[simp]
theorem map_le_map {f : α → β} {s t : Multiset α} (h : s ≤ t) : map f s ≤ map f t :=
leInductionOn h fun h => (h.map f).subperm
#align multiset.map_le_map Multiset.map_le_map
@[simp]
theorem map_lt_map {f : α → β} {s t : Multiset α} (h : s < t) : s.map f < t.map f := by
refine (map_le_map h.le).lt_of_not_le fun H => h.ne <| eq_of_le_of_card_le h.le ?_
rw [← s.card_map f, ← t.card_map f]
exact card_le_card H
#align multiset.map_lt_map Multiset.map_lt_map
theorem map_mono (f : α → β) : Monotone (map f) := fun _ _ => map_le_map
#align multiset.map_mono Multiset.map_mono
theorem map_strictMono (f : α → β) : StrictMono (map f) := fun _ _ => map_lt_map
#align multiset.map_strict_mono Multiset.map_strictMono
@[simp]
theorem map_subset_map {f : α → β} {s t : Multiset α} (H : s ⊆ t) : map f s ⊆ map f t := fun _b m =>
let ⟨a, h, e⟩ := mem_map.1 m
mem_map.2 ⟨a, H h, e⟩
#align multiset.map_subset_map Multiset.map_subset_map
theorem map_erase [DecidableEq α] [DecidableEq β] (f : α → β) (hf : Function.Injective f) (x : α)
(s : Multiset α) : (s.erase x).map f = (s.map f).erase (f x) := by
induction' s using Multiset.induction_on with y s ih
· simp
by_cases hxy : y = x
· cases hxy
simp
· rw [s.erase_cons_tail hxy, map_cons, map_cons, (s.map f).erase_cons_tail (hf.ne hxy), ih]
#align multiset.map_erase Multiset.map_erase
theorem map_erase_of_mem [DecidableEq α] [DecidableEq β] (f : α → β)
(s : Multiset α) {x : α} (h : x ∈ s) : (s.erase x).map f = (s.map f).erase (f x) := by
induction' s using Multiset.induction_on with y s ih
· simp
rcases eq_or_ne y x with rfl | hxy
· simp
replace h : x ∈ s := by simpa [hxy.symm] using h
rw [s.erase_cons_tail hxy, map_cons, map_cons, ih h, erase_cons_tail_of_mem (mem_map_of_mem f h)]
theorem map_surjective_of_surjective {f : α → β} (hf : Function.Surjective f) :
Function.Surjective (map f) := by
intro s
induction' s using Multiset.induction_on with x s ih
· exact ⟨0, map_zero _⟩
· obtain ⟨y, rfl⟩ := hf x
obtain ⟨t, rfl⟩ := ih
exact ⟨y ::ₘ t, map_cons _ _ _⟩
#align multiset.map_surjective_of_surjective Multiset.map_surjective_of_surjective
def foldl (f : β → α → β) (H : RightCommutative f) (b : β) (s : Multiset α) : β :=
Quot.liftOn s (fun l => List.foldl f b l) fun _l₁ _l₂ p => p.foldl_eq H b
#align multiset.foldl Multiset.foldl
@[simp]
theorem foldl_zero (f : β → α → β) (H b) : foldl f H b 0 = b :=
rfl
#align multiset.foldl_zero Multiset.foldl_zero
@[simp]
theorem foldl_cons (f : β → α → β) (H b a s) : foldl f H b (a ::ₘ s) = foldl f H (f b a) s :=
Quot.inductionOn s fun _l => rfl
#align multiset.foldl_cons Multiset.foldl_cons
@[simp]
theorem foldl_add (f : β → α → β) (H b s t) : foldl f H b (s + t) = foldl f H (foldl f H b s) t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => foldl_append _ _ _ _
#align multiset.foldl_add Multiset.foldl_add
def foldr (f : α → β → β) (H : LeftCommutative f) (b : β) (s : Multiset α) : β :=
Quot.liftOn s (fun l => List.foldr f b l) fun _l₁ _l₂ p => p.foldr_eq H b
#align multiset.foldr Multiset.foldr
@[simp]
theorem foldr_zero (f : α → β → β) (H b) : foldr f H b 0 = b :=
rfl
#align multiset.foldr_zero Multiset.foldr_zero
@[simp]
theorem foldr_cons (f : α → β → β) (H b a s) : foldr f H b (a ::ₘ s) = f a (foldr f H b s) :=
Quot.inductionOn s fun _l => rfl
#align multiset.foldr_cons Multiset.foldr_cons
@[simp]
theorem foldr_singleton (f : α → β → β) (H b a) : foldr f H b ({a} : Multiset α) = f a b :=
rfl
#align multiset.foldr_singleton Multiset.foldr_singleton
@[simp]
theorem foldr_add (f : α → β → β) (H b s t) : foldr f H b (s + t) = foldr f H (foldr f H b t) s :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => foldr_append _ _ _ _
#align multiset.foldr_add Multiset.foldr_add
@[simp]
theorem coe_foldr (f : α → β → β) (H : LeftCommutative f) (b : β) (l : List α) :
foldr f H b l = l.foldr f b :=
rfl
#align multiset.coe_foldr Multiset.coe_foldr
@[simp]
theorem coe_foldl (f : β → α → β) (H : RightCommutative f) (b : β) (l : List α) :
foldl f H b l = l.foldl f b :=
rfl
#align multiset.coe_foldl Multiset.coe_foldl
theorem coe_foldr_swap (f : α → β → β) (H : LeftCommutative f) (b : β) (l : List α) :
foldr f H b l = l.foldl (fun x y => f y x) b :=
(congr_arg (foldr f H b) (coe_reverse l)).symm.trans <| foldr_reverse _ _ _
#align multiset.coe_foldr_swap Multiset.coe_foldr_swap
theorem foldr_swap (f : α → β → β) (H : LeftCommutative f) (b : β) (s : Multiset α) :
foldr f H b s = foldl (fun x y => f y x) (fun _x _y _z => (H _ _ _).symm) b s :=
Quot.inductionOn s fun _l => coe_foldr_swap _ _ _ _
#align multiset.foldr_swap Multiset.foldr_swap
theorem foldl_swap (f : β → α → β) (H : RightCommutative f) (b : β) (s : Multiset α) :
foldl f H b s = foldr (fun x y => f y x) (fun _x _y _z => (H _ _ _).symm) b s :=
(foldr_swap _ _ _ _).symm
#align multiset.foldl_swap Multiset.foldl_swap
theorem foldr_induction' (f : α → β → β) (H : LeftCommutative f) (x : β) (q : α → Prop)
(p : β → Prop) (s : Multiset α) (hpqf : ∀ a b, q a → p b → p (f a b)) (px : p x)
(q_s : ∀ a ∈ s, q a) : p (foldr f H x s) := by
induction s using Multiset.induction with
| empty => simpa
| cons a s ihs =>
simp only [forall_mem_cons, foldr_cons] at q_s ⊢
exact hpqf _ _ q_s.1 (ihs q_s.2)
#align multiset.foldr_induction' Multiset.foldr_induction'
theorem foldr_induction (f : α → α → α) (H : LeftCommutative f) (x : α) (p : α → Prop)
(s : Multiset α) (p_f : ∀ a b, p a → p b → p (f a b)) (px : p x) (p_s : ∀ a ∈ s, p a) :
p (foldr f H x s) :=
foldr_induction' f H x p p s p_f px p_s
#align multiset.foldr_induction Multiset.foldr_induction
theorem foldl_induction' (f : β → α → β) (H : RightCommutative f) (x : β) (q : α → Prop)
(p : β → Prop) (s : Multiset α) (hpqf : ∀ a b, q a → p b → p (f b a)) (px : p x)
(q_s : ∀ a ∈ s, q a) : p (foldl f H x s) := by
rw [foldl_swap]
exact foldr_induction' (fun x y => f y x) (fun x y z => (H _ _ _).symm) x q p s hpqf px q_s
#align multiset.foldl_induction' Multiset.foldl_induction'
theorem foldl_induction (f : α → α → α) (H : RightCommutative f) (x : α) (p : α → Prop)
(s : Multiset α) (p_f : ∀ a b, p a → p b → p (f b a)) (px : p x) (p_s : ∀ a ∈ s, p a) :
p (foldl f H x s) :=
foldl_induction' f H x p p s p_f px p_s
#align multiset.foldl_induction Multiset.foldl_induction
nonrec def pmap {p : α → Prop} (f : ∀ a, p a → β) (s : Multiset α) : (∀ a ∈ s, p a) → Multiset β :=
Quot.recOn' s (fun l H => ↑(pmap f l H)) fun l₁ l₂ (pp : l₁ ~ l₂) =>
funext fun H₂ : ∀ a ∈ l₂, p a =>
have H₁ : ∀ a ∈ l₁, p a := fun a h => H₂ a (pp.subset h)
have : ∀ {s₂ e H}, @Eq.ndrec (Multiset α) l₁ (fun s => (∀ a ∈ s, p a) → Multiset β)
(fun _ => ↑(pmap f l₁ H₁)) s₂ e H = ↑(pmap f l₁ H₁) := by
intro s₂ e _; subst e; rfl
this.trans <| Quot.sound <| pp.pmap f
#align multiset.pmap Multiset.pmap
@[simp]
theorem coe_pmap {p : α → Prop} (f : ∀ a, p a → β) (l : List α) (H : ∀ a ∈ l, p a) :
pmap f l H = l.pmap f H :=
rfl
#align multiset.coe_pmap Multiset.coe_pmap
@[simp]
theorem pmap_zero {p : α → Prop} (f : ∀ a, p a → β) (h : ∀ a ∈ (0 : Multiset α), p a) :
pmap f 0 h = 0 :=
rfl
#align multiset.pmap_zero Multiset.pmap_zero
@[simp]
theorem pmap_cons {p : α → Prop} (f : ∀ a, p a → β) (a : α) (m : Multiset α) :
∀ h : ∀ b ∈ a ::ₘ m, p b,
pmap f (a ::ₘ m) h =
f a (h a (mem_cons_self a m)) ::ₘ pmap f m fun a ha => h a <| mem_cons_of_mem ha :=
Quotient.inductionOn m fun _l _h => rfl
#align multiset.pmap_cons Multiset.pmap_cons
def attach (s : Multiset α) : Multiset { x // x ∈ s } :=
pmap Subtype.mk s fun _a => id
#align multiset.attach Multiset.attach
@[simp]
theorem coe_attach (l : List α) : @Eq (Multiset { x // x ∈ l }) (@attach α l) l.attach :=
rfl
#align multiset.coe_attach Multiset.coe_attach
theorem sizeOf_lt_sizeOf_of_mem [SizeOf α] {x : α} {s : Multiset α} (hx : x ∈ s) :
SizeOf.sizeOf x < SizeOf.sizeOf s := by
induction' s using Quot.inductionOn with l a b
exact List.sizeOf_lt_sizeOf_of_mem hx
#align multiset.sizeof_lt_sizeof_of_mem Multiset.sizeOf_lt_sizeOf_of_mem
theorem pmap_eq_map (p : α → Prop) (f : α → β) (s : Multiset α) :
∀ H, @pmap _ _ p (fun a _ => f a) s H = map f s :=
Quot.inductionOn s fun l H => congr_arg _ <| List.pmap_eq_map p f l H
#align multiset.pmap_eq_map Multiset.pmap_eq_map
theorem pmap_congr {p q : α → Prop} {f : ∀ a, p a → β} {g : ∀ a, q a → β} (s : Multiset α) :
∀ {H₁ H₂}, (∀ a ∈ s, ∀ (h₁ h₂), f a h₁ = g a h₂) → pmap f s H₁ = pmap g s H₂ :=
@(Quot.inductionOn s (fun l _H₁ _H₂ h => congr_arg _ <| List.pmap_congr l h))
#align multiset.pmap_congr Multiset.pmap_congr
theorem map_pmap {p : α → Prop} (g : β → γ) (f : ∀ a, p a → β) (s) :
∀ H, map g (pmap f s H) = pmap (fun a h => g (f a h)) s H :=
Quot.inductionOn s fun l H => congr_arg _ <| List.map_pmap g f l H
#align multiset.map_pmap Multiset.map_pmap
theorem pmap_eq_map_attach {p : α → Prop} (f : ∀ a, p a → β) (s) :
∀ H, pmap f s H = s.attach.map fun x => f x.1 (H _ x.2) :=
Quot.inductionOn s fun l H => congr_arg _ <| List.pmap_eq_map_attach f l H
#align multiset.pmap_eq_map_attach Multiset.pmap_eq_map_attach
-- @[simp] -- Porting note: Left hand does not simplify
theorem attach_map_val' (s : Multiset α) (f : α → β) : (s.attach.map fun i => f i.val) = s.map f :=
Quot.inductionOn s fun l => congr_arg _ <| List.attach_map_coe' l f
#align multiset.attach_map_coe' Multiset.attach_map_val'
#align multiset.attach_map_val' Multiset.attach_map_val'
@[simp]
theorem attach_map_val (s : Multiset α) : s.attach.map Subtype.val = s :=
(attach_map_val' _ _).trans s.map_id
#align multiset.attach_map_coe Multiset.attach_map_val
#align multiset.attach_map_val Multiset.attach_map_val
@[simp]
theorem mem_attach (s : Multiset α) : ∀ x, x ∈ s.attach :=
Quot.inductionOn s fun _l => List.mem_attach _
#align multiset.mem_attach Multiset.mem_attach
@[simp]
theorem mem_pmap {p : α → Prop} {f : ∀ a, p a → β} {s H b} :
b ∈ pmap f s H ↔ ∃ (a : _) (h : a ∈ s), f a (H a h) = b :=
Quot.inductionOn s (fun _l _H => List.mem_pmap) H
#align multiset.mem_pmap Multiset.mem_pmap
@[simp]
theorem card_pmap {p : α → Prop} (f : ∀ a, p a → β) (s H) : card (pmap f s H) = card s :=
Quot.inductionOn s (fun _l _H => length_pmap) H
#align multiset.card_pmap Multiset.card_pmap
@[simp]
theorem card_attach {m : Multiset α} : card (attach m) = card m :=
card_pmap _ _ _
#align multiset.card_attach Multiset.card_attach
@[simp]
theorem attach_zero : (0 : Multiset α).attach = 0 :=
rfl
#align multiset.attach_zero Multiset.attach_zero
theorem attach_cons (a : α) (m : Multiset α) :
(a ::ₘ m).attach =
⟨a, mem_cons_self a m⟩ ::ₘ m.attach.map fun p => ⟨p.1, mem_cons_of_mem p.2⟩ :=
Quotient.inductionOn m fun l =>
congr_arg _ <|
congr_arg (List.cons _) <| by
rw [List.map_pmap]; exact List.pmap_congr _ fun _ _ _ _ => Subtype.eq rfl
#align multiset.attach_cons Multiset.attach_cons
section
variable [DecidableEq α] {s t u : Multiset α} {a b : α}
protected def sub (s t : Multiset α) : Multiset α :=
(Quotient.liftOn₂ s t fun l₁ l₂ => (l₁.diff l₂ : Multiset α)) fun _v₁ _v₂ _w₁ _w₂ p₁ p₂ =>
Quot.sound <| p₁.diff p₂
#align multiset.sub Multiset.sub
instance : Sub (Multiset α) :=
⟨Multiset.sub⟩
@[simp]
theorem coe_sub (s t : List α) : (s - t : Multiset α) = (s.diff t : List α) :=
rfl
#align multiset.coe_sub Multiset.coe_sub
protected theorem sub_zero (s : Multiset α) : s - 0 = s :=
Quot.inductionOn s fun _l => rfl
#align multiset.sub_zero Multiset.sub_zero
@[simp]
theorem sub_cons (a : α) (s t : Multiset α) : s - a ::ₘ t = s.erase a - t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => congr_arg _ <| diff_cons _ _ _
#align multiset.sub_cons Multiset.sub_cons
protected theorem sub_le_iff_le_add : s - t ≤ u ↔ s ≤ u + t := by
revert s
exact @(Multiset.induction_on t (by simp [Multiset.sub_zero]) fun a t IH s => by
simp [IH, erase_le_iff_le_cons])
#align multiset.sub_le_iff_le_add Multiset.sub_le_iff_le_add
instance : OrderedSub (Multiset α) :=
⟨fun _n _m _k => Multiset.sub_le_iff_le_add⟩
theorem cons_sub_of_le (a : α) {s t : Multiset α} (h : t ≤ s) : a ::ₘ s - t = a ::ₘ (s - t) := by
rw [← singleton_add, ← singleton_add, add_tsub_assoc_of_le h]
#align multiset.cons_sub_of_le Multiset.cons_sub_of_le
theorem sub_eq_fold_erase (s t : Multiset α) : s - t = foldl erase erase_comm s t :=
Quotient.inductionOn₂ s t fun l₁ l₂ => by
show ofList (l₁.diff l₂) = foldl erase erase_comm l₁ l₂
rw [diff_eq_foldl l₁ l₂]
symm
exact foldl_hom _ _ _ _ _ fun x y => rfl
#align multiset.sub_eq_fold_erase Multiset.sub_eq_fold_erase
@[simp]
theorem card_sub {s t : Multiset α} (h : t ≤ s) : card (s - t) = card s - card t :=
Nat.eq_sub_of_add_eq $ by rw [← card_add, tsub_add_cancel_of_le h]
#align multiset.card_sub Multiset.card_sub
def union (s t : Multiset α) : Multiset α :=
s - t + t
#align multiset.union Multiset.union
instance : Union (Multiset α) :=
⟨union⟩
theorem union_def (s t : Multiset α) : s ∪ t = s - t + t :=
rfl
#align multiset.union_def Multiset.union_def
theorem le_union_left (s t : Multiset α) : s ≤ s ∪ t :=
le_tsub_add
#align multiset.le_union_left Multiset.le_union_left
theorem le_union_right (s t : Multiset α) : t ≤ s ∪ t :=
le_add_left _ _
#align multiset.le_union_right Multiset.le_union_right
theorem eq_union_left : t ≤ s → s ∪ t = s :=
tsub_add_cancel_of_le
#align multiset.eq_union_left Multiset.eq_union_left
theorem union_le_union_right (h : s ≤ t) (u) : s ∪ u ≤ t ∪ u :=
add_le_add_right (tsub_le_tsub_right h _) u
#align multiset.union_le_union_right Multiset.union_le_union_right
theorem union_le (h₁ : s ≤ u) (h₂ : t ≤ u) : s ∪ t ≤ u := by
rw [← eq_union_left h₂]; exact union_le_union_right h₁ t
#align multiset.union_le Multiset.union_le
@[simp]
theorem mem_union : a ∈ s ∪ t ↔ a ∈ s ∨ a ∈ t :=
⟨fun h => (mem_add.1 h).imp_left (mem_of_le tsub_le_self),
(Or.elim · (mem_of_le <| le_union_left _ _) (mem_of_le <| le_union_right _ _))⟩
#align multiset.mem_union Multiset.mem_union
@[simp]
theorem map_union [DecidableEq β] {f : α → β} (finj : Function.Injective f) {s t : Multiset α} :
map f (s ∪ t) = map f s ∪ map f t :=
Quotient.inductionOn₂ s t fun l₁ l₂ =>
congr_arg ofList (by rw [List.map_append f, List.map_diff finj])
#align multiset.map_union Multiset.map_union
-- Porting note (#10756): new theorem
@[simp] theorem zero_union : 0 ∪ s = s := by
simp [union_def]
-- Porting note (#10756): new theorem
@[simp] theorem union_zero : s ∪ 0 = s := by
simp [union_def]
def inter (s t : Multiset α) : Multiset α :=
Quotient.liftOn₂ s t (fun l₁ l₂ => (l₁.bagInter l₂ : Multiset α)) fun _v₁ _v₂ _w₁ _w₂ p₁ p₂ =>
Quot.sound <| p₁.bagInter p₂
#align multiset.inter Multiset.inter
instance : Inter (Multiset α) :=
⟨inter⟩
@[simp]
theorem inter_zero (s : Multiset α) : s ∩ 0 = 0 :=
Quot.inductionOn s fun l => congr_arg ofList l.bagInter_nil
#align multiset.inter_zero Multiset.inter_zero
@[simp]
theorem zero_inter (s : Multiset α) : 0 ∩ s = 0 :=
Quot.inductionOn s fun l => congr_arg ofList l.nil_bagInter
#align multiset.zero_inter Multiset.zero_inter
@[simp]
theorem cons_inter_of_pos {a} (s : Multiset α) {t} : a ∈ t → (a ::ₘ s) ∩ t = a ::ₘ s ∩ t.erase a :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ h => congr_arg ofList <| cons_bagInter_of_pos _ h
#align multiset.cons_inter_of_pos Multiset.cons_inter_of_pos
@[simp]
theorem cons_inter_of_neg {a} (s : Multiset α) {t} : a ∉ t → (a ::ₘ s) ∩ t = s ∩ t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ h => congr_arg ofList <| cons_bagInter_of_neg _ h
#align multiset.cons_inter_of_neg Multiset.cons_inter_of_neg
theorem inter_le_left (s t : Multiset α) : s ∩ t ≤ s :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => (bagInter_sublist_left _ _).subperm
#align multiset.inter_le_left Multiset.inter_le_left
theorem inter_le_right (s : Multiset α) : ∀ t, s ∩ t ≤ t :=
Multiset.induction_on s (fun t => (zero_inter t).symm ▸ zero_le _) fun a s IH t =>
if h : a ∈ t then by simpa [h] using cons_le_cons a (IH (t.erase a)) else by simp [h, IH]
#align multiset.inter_le_right Multiset.inter_le_right
theorem le_inter (h₁ : s ≤ t) (h₂ : s ≤ u) : s ≤ t ∩ u := by
revert s u; refine @(Multiset.induction_on t ?_ fun a t IH => ?_) <;> intros s u h₁ h₂
· simpa only [zero_inter, nonpos_iff_eq_zero] using h₁
by_cases h : a ∈ u
· rw [cons_inter_of_pos _ h, ← erase_le_iff_le_cons]
exact IH (erase_le_iff_le_cons.2 h₁) (erase_le_erase _ h₂)
· rw [cons_inter_of_neg _ h]
exact IH ((le_cons_of_not_mem <| mt (mem_of_le h₂) h).1 h₁) h₂
#align multiset.le_inter Multiset.le_inter
@[simp]
theorem mem_inter : a ∈ s ∩ t ↔ a ∈ s ∧ a ∈ t :=
⟨fun h => ⟨mem_of_le (inter_le_left _ _) h, mem_of_le (inter_le_right _ _) h⟩, fun ⟨h₁, h₂⟩ => by
rw [← cons_erase h₁, cons_inter_of_pos _ h₂]; apply mem_cons_self⟩
#align multiset.mem_inter Multiset.mem_inter
instance : Lattice (Multiset α) :=
{ sup := (· ∪ ·)
sup_le := @union_le _ _
le_sup_left := le_union_left
le_sup_right := le_union_right
inf := (· ∩ ·)
le_inf := @le_inter _ _
inf_le_left := inter_le_left
inf_le_right := inter_le_right }
@[simp]
theorem sup_eq_union (s t : Multiset α) : s ⊔ t = s ∪ t :=
rfl
#align multiset.sup_eq_union Multiset.sup_eq_union
@[simp]
theorem inf_eq_inter (s t : Multiset α) : s ⊓ t = s ∩ t :=
rfl
#align multiset.inf_eq_inter Multiset.inf_eq_inter
@[simp]
theorem le_inter_iff : s ≤ t ∩ u ↔ s ≤ t ∧ s ≤ u :=
le_inf_iff
#align multiset.le_inter_iff Multiset.le_inter_iff
@[simp]
theorem union_le_iff : s ∪ t ≤ u ↔ s ≤ u ∧ t ≤ u :=
sup_le_iff
#align multiset.union_le_iff Multiset.union_le_iff
theorem union_comm (s t : Multiset α) : s ∪ t = t ∪ s := sup_comm _ _
#align multiset.union_comm Multiset.union_comm
theorem inter_comm (s t : Multiset α) : s ∩ t = t ∩ s := inf_comm _ _
#align multiset.inter_comm Multiset.inter_comm
theorem eq_union_right (h : s ≤ t) : s ∪ t = t := by rw [union_comm, eq_union_left h]
#align multiset.eq_union_right Multiset.eq_union_right
theorem union_le_union_left (h : s ≤ t) (u) : u ∪ s ≤ u ∪ t :=
sup_le_sup_left h _
#align multiset.union_le_union_left Multiset.union_le_union_left
theorem union_le_add (s t : Multiset α) : s ∪ t ≤ s + t :=
union_le (le_add_right _ _) (le_add_left _ _)
#align multiset.union_le_add Multiset.union_le_add
theorem union_add_distrib (s t u : Multiset α) : s ∪ t + u = s + u ∪ (t + u) := by
simpa [(· ∪ ·), union, eq_comm, add_assoc] using
show s + u - (t + u) = s - t by rw [add_comm t, tsub_add_eq_tsub_tsub, add_tsub_cancel_right]
#align multiset.union_add_distrib Multiset.union_add_distrib
theorem add_union_distrib (s t u : Multiset α) : s + (t ∪ u) = s + t ∪ (s + u) := by
rw [add_comm, union_add_distrib, add_comm s, add_comm s]
#align multiset.add_union_distrib Multiset.add_union_distrib
theorem cons_union_distrib (a : α) (s t : Multiset α) : a ::ₘ (s ∪ t) = a ::ₘ s ∪ a ::ₘ t := by
simpa using add_union_distrib (a ::ₘ 0) s t
#align multiset.cons_union_distrib Multiset.cons_union_distrib
theorem inter_add_distrib (s t u : Multiset α) : s ∩ t + u = (s + u) ∩ (t + u) := by
by_contra h
cases'
lt_iff_cons_le.1
(lt_of_le_of_ne
(le_inter (add_le_add_right (inter_le_left s t) u)
(add_le_add_right (inter_le_right s t) u))
h) with
a hl
rw [← cons_add] at hl
exact
not_le_of_lt (lt_cons_self (s ∩ t) a)
(le_inter (le_of_add_le_add_right (le_trans hl (inter_le_left _ _)))
(le_of_add_le_add_right (le_trans hl (inter_le_right _ _))))
#align multiset.inter_add_distrib Multiset.inter_add_distrib
theorem add_inter_distrib (s t u : Multiset α) : s + t ∩ u = (s + t) ∩ (s + u) := by
rw [add_comm, inter_add_distrib, add_comm s, add_comm s]
#align multiset.add_inter_distrib Multiset.add_inter_distrib
theorem cons_inter_distrib (a : α) (s t : Multiset α) : a ::ₘ s ∩ t = (a ::ₘ s) ∩ (a ::ₘ t) := by
simp
#align multiset.cons_inter_distrib Multiset.cons_inter_distrib
theorem union_add_inter (s t : Multiset α) : s ∪ t + s ∩ t = s + t := by
apply _root_.le_antisymm
· rw [union_add_distrib]
refine union_le (add_le_add_left (inter_le_right _ _) _) ?_
rw [add_comm]
exact add_le_add_right (inter_le_left _ _) _
· rw [add_comm, add_inter_distrib]
refine le_inter (add_le_add_right (le_union_right _ _) _) ?_
rw [add_comm]
exact add_le_add_right (le_union_left _ _) _
#align multiset.union_add_inter Multiset.union_add_inter
theorem sub_add_inter (s t : Multiset α) : s - t + s ∩ t = s := by
rw [inter_comm]
revert s; refine Multiset.induction_on t (by simp) fun a t IH s => ?_
by_cases h : a ∈ s
· rw [cons_inter_of_pos _ h, sub_cons, add_cons, IH, cons_erase h]
· rw [cons_inter_of_neg _ h, sub_cons, erase_of_not_mem h, IH]
#align multiset.sub_add_inter Multiset.sub_add_inter
theorem sub_inter (s t : Multiset α) : s - s ∩ t = s - t :=
add_right_cancel <| by rw [sub_add_inter s t, tsub_add_cancel_of_le (inter_le_left s t)]
#align multiset.sub_inter Multiset.sub_inter
end
section
variable (p : α → Prop) [DecidablePred p]
def filter (s : Multiset α) : Multiset α :=
Quot.liftOn s (fun l => (List.filter p l : Multiset α)) fun _l₁ _l₂ h => Quot.sound <| h.filter p
#align multiset.filter Multiset.filter
@[simp, norm_cast] lemma filter_coe (l : List α) : filter p l = l.filter p := rfl
#align multiset.coe_filter Multiset.filter_coe
@[simp]
theorem filter_zero : filter p 0 = 0 :=
rfl
#align multiset.filter_zero Multiset.filter_zero
theorem filter_congr {p q : α → Prop} [DecidablePred p] [DecidablePred q] {s : Multiset α} :
(∀ x ∈ s, p x ↔ q x) → filter p s = filter q s :=
Quot.inductionOn s fun _l h => congr_arg ofList <| filter_congr' <| by simpa using h
#align multiset.filter_congr Multiset.filter_congr
@[simp]
theorem filter_add (s t : Multiset α) : filter p (s + t) = filter p s + filter p t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => congr_arg ofList <| filter_append _ _
#align multiset.filter_add Multiset.filter_add
@[simp]
theorem filter_le (s : Multiset α) : filter p s ≤ s :=
Quot.inductionOn s fun _l => (filter_sublist _).subperm
#align multiset.filter_le Multiset.filter_le
@[simp]
theorem filter_subset (s : Multiset α) : filter p s ⊆ s :=
subset_of_le <| filter_le _ _
#align multiset.filter_subset Multiset.filter_subset
theorem filter_le_filter {s t} (h : s ≤ t) : filter p s ≤ filter p t :=
leInductionOn h fun h => (h.filter (p ·)).subperm
#align multiset.filter_le_filter Multiset.filter_le_filter
theorem monotone_filter_left : Monotone (filter p) := fun _s _t => filter_le_filter p
#align multiset.monotone_filter_left Multiset.monotone_filter_left
theorem monotone_filter_right (s : Multiset α) ⦃p q : α → Prop⦄ [DecidablePred p] [DecidablePred q]
(h : ∀ b, p b → q b) :
s.filter p ≤ s.filter q :=
Quotient.inductionOn s fun l => (l.monotone_filter_right <| by simpa using h).subperm
#align multiset.monotone_filter_right Multiset.monotone_filter_right
variable {p}
@[simp]
theorem filter_cons_of_pos {a : α} (s) : p a → filter p (a ::ₘ s) = a ::ₘ filter p s :=
Quot.inductionOn s fun l h => congr_arg ofList <| List.filter_cons_of_pos l <| by simpa using h
#align multiset.filter_cons_of_pos Multiset.filter_cons_of_pos
@[simp]
theorem filter_cons_of_neg {a : α} (s) : ¬p a → filter p (a ::ₘ s) = filter p s :=
Quot.inductionOn s fun l h => congr_arg ofList <| List.filter_cons_of_neg l <| by simpa using h
#align multiset.filter_cons_of_neg Multiset.filter_cons_of_neg
@[simp]
theorem mem_filter {a : α} {s} : a ∈ filter p s ↔ a ∈ s ∧ p a :=
Quot.inductionOn s fun _l => by simpa using List.mem_filter (p := (p ·))
#align multiset.mem_filter Multiset.mem_filter
theorem of_mem_filter {a : α} {s} (h : a ∈ filter p s) : p a :=
(mem_filter.1 h).2
#align multiset.of_mem_filter Multiset.of_mem_filter
theorem mem_of_mem_filter {a : α} {s} (h : a ∈ filter p s) : a ∈ s :=
(mem_filter.1 h).1
#align multiset.mem_of_mem_filter Multiset.mem_of_mem_filter
theorem mem_filter_of_mem {a : α} {l} (m : a ∈ l) (h : p a) : a ∈ filter p l :=
mem_filter.2 ⟨m, h⟩
#align multiset.mem_filter_of_mem Multiset.mem_filter_of_mem
theorem filter_eq_self {s} : filter p s = s ↔ ∀ a ∈ s, p a :=
Quot.inductionOn s fun _l =>
Iff.trans ⟨fun h => (filter_sublist _).eq_of_length (@congr_arg _ _ _ _ card h),
congr_arg ofList⟩ <| by simp
#align multiset.filter_eq_self Multiset.filter_eq_self
theorem filter_eq_nil {s} : filter p s = 0 ↔ ∀ a ∈ s, ¬p a :=
Quot.inductionOn s fun _l =>
Iff.trans ⟨fun h => eq_nil_of_length_eq_zero (@congr_arg _ _ _ _ card h), congr_arg ofList⟩ <|
by simpa using List.filter_eq_nil (p := (p ·))
#align multiset.filter_eq_nil Multiset.filter_eq_nil
theorem le_filter {s t} : s ≤ filter p t ↔ s ≤ t ∧ ∀ a ∈ s, p a :=
⟨fun h => ⟨le_trans h (filter_le _ _), fun _a m => of_mem_filter (mem_of_le h m)⟩, fun ⟨h, al⟩ =>
filter_eq_self.2 al ▸ filter_le_filter p h⟩
#align multiset.le_filter Multiset.le_filter
theorem filter_cons {a : α} (s : Multiset α) :
filter p (a ::ₘ s) = (if p a then {a} else 0) + filter p s := by
split_ifs with h
· rw [filter_cons_of_pos _ h, singleton_add]
· rw [filter_cons_of_neg _ h, zero_add]
#align multiset.filter_cons Multiset.filter_cons
theorem filter_singleton {a : α} (p : α → Prop) [DecidablePred p] :
filter p {a} = if p a then {a} else ∅ := by
simp only [singleton, filter_cons, filter_zero, add_zero, empty_eq_zero]
#align multiset.filter_singleton Multiset.filter_singleton
theorem filter_nsmul (s : Multiset α) (n : ℕ) : filter p (n • s) = n • filter p s := by
refine s.induction_on ?_ ?_
· simp only [filter_zero, nsmul_zero]
· intro a ha ih
rw [nsmul_cons, filter_add, ih, filter_cons, nsmul_add]
congr
split_ifs with hp <;>
· simp only [filter_eq_self, nsmul_zero, filter_eq_nil]
intro b hb
rwa [mem_singleton.mp (mem_of_mem_nsmul hb)]
#align multiset.filter_nsmul Multiset.filter_nsmul
variable (p)
@[simp]
theorem filter_sub [DecidableEq α] (s t : Multiset α) :
filter p (s - t) = filter p s - filter p t := by
revert s; refine Multiset.induction_on t (by simp) fun a t IH s => ?_
rw [sub_cons, IH]
by_cases h : p a
· rw [filter_cons_of_pos _ h, sub_cons]
congr
by_cases m : a ∈ s
· rw [← cons_inj_right a, ← filter_cons_of_pos _ h, cons_erase (mem_filter_of_mem m h),
cons_erase m]
· rw [erase_of_not_mem m, erase_of_not_mem (mt mem_of_mem_filter m)]
· rw [filter_cons_of_neg _ h]
by_cases m : a ∈ s
· rw [(by rw [filter_cons_of_neg _ h] : filter p (erase s a) = filter p (a ::ₘ erase s a)),
cons_erase m]
· rw [erase_of_not_mem m]
#align multiset.filter_sub Multiset.filter_sub
@[simp]
theorem filter_union [DecidableEq α] (s t : Multiset α) :
filter p (s ∪ t) = filter p s ∪ filter p t := by simp [(· ∪ ·), union]
#align multiset.filter_union Multiset.filter_union
@[simp]
theorem filter_inter [DecidableEq α] (s t : Multiset α) :
filter p (s ∩ t) = filter p s ∩ filter p t :=
le_antisymm
(le_inter (filter_le_filter _ <| inter_le_left _ _)
(filter_le_filter _ <| inter_le_right _ _)) <|
le_filter.2
⟨inf_le_inf (filter_le _ _) (filter_le _ _), fun _a h =>
of_mem_filter (mem_of_le (inter_le_left _ _) h)⟩
#align multiset.filter_inter Multiset.filter_inter
@[simp]
theorem filter_filter (q) [DecidablePred q] (s : Multiset α) :
filter p (filter q s) = filter (fun a => p a ∧ q a) s :=
Quot.inductionOn s fun l => by simp
#align multiset.filter_filter Multiset.filter_filter
lemma filter_comm (q) [DecidablePred q] (s : Multiset α) :
filter p (filter q s) = filter q (filter p s) := by simp [and_comm]
#align multiset.filter_comm Multiset.filter_comm
theorem filter_add_filter (q) [DecidablePred q] (s : Multiset α) :
filter p s + filter q s = filter (fun a => p a ∨ q a) s + filter (fun a => p a ∧ q a) s :=
Multiset.induction_on s rfl fun a s IH => by by_cases p a <;> by_cases q a <;> simp [*]
#align multiset.filter_add_filter Multiset.filter_add_filter
theorem filter_add_not (s : Multiset α) : filter p s + filter (fun a => ¬p a) s = s := by
rw [filter_add_filter, filter_eq_self.2, filter_eq_nil.2]
· simp only [add_zero]
· simp [Decidable.em, -Bool.not_eq_true, -not_and, not_and_or, or_comm]
· simp only [Bool.not_eq_true, decide_eq_true_eq, Bool.eq_false_or_eq_true,
decide_True, implies_true, Decidable.em]
#align multiset.filter_add_not Multiset.filter_add_not
theorem map_filter (f : β → α) (s : Multiset β) : filter p (map f s) = map f (filter (p ∘ f) s) :=
Quot.inductionOn s fun l => by simp [List.map_filter]; rfl
#align multiset.map_filter Multiset.map_filter
lemma map_filter' {f : α → β} (hf : Injective f) (s : Multiset α)
[DecidablePred fun b => ∃ a, p a ∧ f a = b] :
(s.filter p).map f = (s.map f).filter fun b => ∃ a, p a ∧ f a = b := by
simp [(· ∘ ·), map_filter, hf.eq_iff]
#align multiset.map_filter' Multiset.map_filter'
lemma card_filter_le_iff (s : Multiset α) (P : α → Prop) [DecidablePred P] (n : ℕ) :
card (s.filter P) ≤ n ↔ ∀ s' ≤ s, n < card s' → ∃ a ∈ s', ¬ P a := by
fconstructor
· intro H s' hs' s'_card
by_contra! rid
have card := card_le_card (monotone_filter_left P hs') |>.trans H
exact s'_card.not_le (filter_eq_self.mpr rid ▸ card)
· contrapose!
exact fun H ↦ ⟨s.filter P, filter_le _ _, H, fun a ha ↦ (mem_filter.mp ha).2⟩
def filterMap (f : α → Option β) (s : Multiset α) : Multiset β :=
Quot.liftOn s (fun l => (List.filterMap f l : Multiset β))
fun _l₁ _l₂ h => Quot.sound <| h.filterMap f
#align multiset.filter_map Multiset.filterMap
@[simp, norm_cast]
lemma filterMap_coe (f : α → Option β) (l : List α) : filterMap f l = l.filterMap f := rfl
#align multiset.coe_filter_map Multiset.filterMap_coe
@[simp]
theorem filterMap_zero (f : α → Option β) : filterMap f 0 = 0 :=
rfl
#align multiset.filter_map_zero Multiset.filterMap_zero
@[simp]
theorem filterMap_cons_none {f : α → Option β} (a : α) (s : Multiset α) (h : f a = none) :
filterMap f (a ::ₘ s) = filterMap f s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.filterMap_cons_none a l h
#align multiset.filter_map_cons_none Multiset.filterMap_cons_none
@[simp]
theorem filterMap_cons_some (f : α → Option β) (a : α) (s : Multiset α) {b : β}
(h : f a = some b) : filterMap f (a ::ₘ s) = b ::ₘ filterMap f s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.filterMap_cons_some f a l h
#align multiset.filter_map_cons_some Multiset.filterMap_cons_some
theorem filterMap_eq_map (f : α → β) : filterMap (some ∘ f) = map f :=
funext fun s =>
Quot.inductionOn s fun l => congr_arg ofList <| congr_fun (List.filterMap_eq_map f) l
#align multiset.filter_map_eq_map Multiset.filterMap_eq_map
theorem filterMap_eq_filter : filterMap (Option.guard p) = filter p :=
funext fun s =>
Quot.inductionOn s fun l => congr_arg ofList <| by
rw [← List.filterMap_eq_filter]
congr; funext a; simp
#align multiset.filter_map_eq_filter Multiset.filterMap_eq_filter
theorem filterMap_filterMap (f : α → Option β) (g : β → Option γ) (s : Multiset α) :
filterMap g (filterMap f s) = filterMap (fun x => (f x).bind g) s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.filterMap_filterMap f g l
#align multiset.filter_map_filter_map Multiset.filterMap_filterMap
theorem map_filterMap (f : α → Option β) (g : β → γ) (s : Multiset α) :
map g (filterMap f s) = filterMap (fun x => (f x).map g) s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.map_filterMap f g l
#align multiset.map_filter_map Multiset.map_filterMap
theorem filterMap_map (f : α → β) (g : β → Option γ) (s : Multiset α) :
filterMap g (map f s) = filterMap (g ∘ f) s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.filterMap_map f g l
#align multiset.filter_map_map Multiset.filterMap_map
theorem filter_filterMap (f : α → Option β) (p : β → Prop) [DecidablePred p] (s : Multiset α) :
filter p (filterMap f s) = filterMap (fun x => (f x).filter p) s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.filter_filterMap f p l
#align multiset.filter_filter_map Multiset.filter_filterMap
theorem filterMap_filter (f : α → Option β) (s : Multiset α) :
filterMap f (filter p s) = filterMap (fun x => if p x then f x else none) s :=
Quot.inductionOn s fun l => congr_arg ofList <| by simpa using List.filterMap_filter p f l
#align multiset.filter_map_filter Multiset.filterMap_filter
@[simp]
theorem filterMap_some (s : Multiset α) : filterMap some s = s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.filterMap_some l
#align multiset.filter_map_some Multiset.filterMap_some
@[simp]
theorem mem_filterMap (f : α → Option β) (s : Multiset α) {b : β} :
b ∈ filterMap f s ↔ ∃ a, a ∈ s ∧ f a = some b :=
Quot.inductionOn s fun l => List.mem_filterMap f l
#align multiset.mem_filter_map Multiset.mem_filterMap
theorem map_filterMap_of_inv (f : α → Option β) (g : β → α) (H : ∀ x : α, (f x).map g = some x)
(s : Multiset α) : map g (filterMap f s) = s :=
Quot.inductionOn s fun l => congr_arg ofList <| List.map_filterMap_of_inv f g H l
#align multiset.map_filter_map_of_inv Multiset.map_filterMap_of_inv
theorem filterMap_le_filterMap (f : α → Option β) {s t : Multiset α} (h : s ≤ t) :
filterMap f s ≤ filterMap f t :=
leInductionOn h fun h => (h.filterMap _).subperm
#align multiset.filter_map_le_filter_map Multiset.filterMap_le_filterMap
def countP (s : Multiset α) : ℕ :=
Quot.liftOn s (List.countP p) fun _l₁ _l₂ => Perm.countP_eq (p ·)
#align multiset.countp Multiset.countP
@[simp]
theorem coe_countP (l : List α) : countP p l = l.countP p :=
rfl
#align multiset.coe_countp Multiset.coe_countP
@[simp]
theorem countP_zero : countP p 0 = 0 :=
rfl
#align multiset.countp_zero Multiset.countP_zero
variable {p}
@[simp]
theorem countP_cons_of_pos {a : α} (s) : p a → countP p (a ::ₘ s) = countP p s + 1 :=
Quot.inductionOn s <| by simpa using List.countP_cons_of_pos (p ·)
#align multiset.countp_cons_of_pos Multiset.countP_cons_of_pos
@[simp]
theorem countP_cons_of_neg {a : α} (s) : ¬p a → countP p (a ::ₘ s) = countP p s :=
Quot.inductionOn s <| by simpa using List.countP_cons_of_neg (p ·)
#align multiset.countp_cons_of_neg Multiset.countP_cons_of_neg
variable (p)
theorem countP_cons (b : α) (s) : countP p (b ::ₘ s) = countP p s + if p b then 1 else 0 :=
Quot.inductionOn s <| by simp [List.countP_cons]
#align multiset.countp_cons Multiset.countP_cons
theorem countP_eq_card_filter (s) : countP p s = card (filter p s) :=
Quot.inductionOn s fun l => l.countP_eq_length_filter (p ·)
#align multiset.countp_eq_card_filter Multiset.countP_eq_card_filter
theorem countP_le_card (s) : countP p s ≤ card s :=
Quot.inductionOn s fun _l => countP_le_length (p ·)
#align multiset.countp_le_card Multiset.countP_le_card
@[simp]
theorem countP_add (s t) : countP p (s + t) = countP p s + countP p t := by
simp [countP_eq_card_filter]
#align multiset.countp_add Multiset.countP_add
@[simp]
theorem countP_nsmul (s) (n : ℕ) : countP p (n • s) = n * countP p s := by
induction n <;> simp [*, succ_nsmul, succ_mul, zero_nsmul]
#align multiset.countp_nsmul Multiset.countP_nsmul
theorem card_eq_countP_add_countP (s) : card s = countP p s + countP (fun x => ¬p x) s :=
Quot.inductionOn s fun l => by simp [l.length_eq_countP_add_countP p]
#align multiset.card_eq_countp_add_countp Multiset.card_eq_countP_add_countP
def countPAddMonoidHom : Multiset α →+ ℕ where
toFun := countP p
map_zero' := countP_zero _
map_add' := countP_add _
#align multiset.countp_add_monoid_hom Multiset.countPAddMonoidHom
@[simp]
theorem coe_countPAddMonoidHom : (countPAddMonoidHom p : Multiset α → ℕ) = countP p :=
rfl
#align multiset.coe_countp_add_monoid_hom Multiset.coe_countPAddMonoidHom
@[simp]
theorem countP_sub [DecidableEq α] {s t : Multiset α} (h : t ≤ s) :
countP p (s - t) = countP p s - countP p t := by
simp [countP_eq_card_filter, h, filter_le_filter]
#align multiset.countp_sub Multiset.countP_sub
theorem countP_le_of_le {s t} (h : s ≤ t) : countP p s ≤ countP p t := by
simpa [countP_eq_card_filter] using card_le_card (filter_le_filter p h)
#align multiset.countp_le_of_le Multiset.countP_le_of_le
@[simp]
theorem countP_filter (q) [DecidablePred q] (s : Multiset α) :
countP p (filter q s) = countP (fun a => p a ∧ q a) s := by simp [countP_eq_card_filter]
#align multiset.countp_filter Multiset.countP_filter
theorem countP_eq_countP_filter_add (s) (p q : α → Prop) [DecidablePred p] [DecidablePred q] :
countP p s = (filter q s).countP p + (filter (fun a => ¬q a) s).countP p :=
Quot.inductionOn s fun l => by
convert l.countP_eq_countP_filter_add (p ·) (q ·)
simp [countP_filter]
#align multiset.countp_eq_countp_filter_add Multiset.countP_eq_countP_filter_add
@[simp]
theorem countP_True {s : Multiset α} : countP (fun _ => True) s = card s :=
Quot.inductionOn s fun _l => List.countP_true
#align multiset.countp_true Multiset.countP_True
@[simp]
theorem countP_False {s : Multiset α} : countP (fun _ => False) s = 0 :=
Quot.inductionOn s fun _l => List.countP_false
#align multiset.countp_false Multiset.countP_False
theorem countP_map (f : α → β) (s : Multiset α) (p : β → Prop) [DecidablePred p] :
countP p (map f s) = card (s.filter fun a => p (f a)) := by
refine Multiset.induction_on s ?_ fun a t IH => ?_
· rw [map_zero, countP_zero, filter_zero, card_zero]
· rw [map_cons, countP_cons, IH, filter_cons, card_add, apply_ite card, card_zero, card_singleton,
add_comm]
#align multiset.countp_map Multiset.countP_map
-- Porting note: `Lean.Internal.coeM` forces us to type-ascript `{a // a ∈ s}`
lemma countP_attach (s : Multiset α) : s.attach.countP (fun a : {a // a ∈ s} ↦ p a) = s.countP p :=
Quotient.inductionOn s fun l => by
simp only [quot_mk_to_coe, coe_countP]
-- Porting note: was
-- rw [quot_mk_to_coe, coe_attach, coe_countP]
-- exact List.countP_attach _ _
rw [coe_attach]
refine (coe_countP _ _).trans ?_
convert List.countP_attach _ _
rfl
#align multiset.countp_attach Multiset.countP_attach
lemma filter_attach (s : Multiset α) (p : α → Prop) [DecidablePred p] :
(s.attach.filter fun a : {a // a ∈ s} ↦ p ↑a) =
(s.filter p).attach.map (Subtype.map id fun _ ↦ Multiset.mem_of_mem_filter) :=
Quotient.inductionOn s fun l ↦ congr_arg _ (List.filter_attach l p)
#align multiset.filter_attach Multiset.filter_attach
variable {p}
theorem countP_pos {s} : 0 < countP p s ↔ ∃ a ∈ s, p a :=
Quot.inductionOn s fun _l => by simpa using List.countP_pos (p ·)
#align multiset.countp_pos Multiset.countP_pos
theorem countP_eq_zero {s} : countP p s = 0 ↔ ∀ a ∈ s, ¬p a :=
Quot.inductionOn s fun _l => by simp [List.countP_eq_zero]
#align multiset.countp_eq_zero Multiset.countP_eq_zero
theorem countP_eq_card {s} : countP p s = card s ↔ ∀ a ∈ s, p a :=
Quot.inductionOn s fun _l => by simp [List.countP_eq_length]
#align multiset.countp_eq_card Multiset.countP_eq_card
theorem countP_pos_of_mem {s a} (h : a ∈ s) (pa : p a) : 0 < countP p s :=
countP_pos.2 ⟨_, h, pa⟩
#align multiset.countp_pos_of_mem Multiset.countP_pos_of_mem
theorem countP_congr {s s' : Multiset α} (hs : s = s')
{p p' : α → Prop} [DecidablePred p] [DecidablePred p']
(hp : ∀ x ∈ s, p x = p' x) : s.countP p = s'.countP p' := by
revert hs hp
exact Quot.induction_on₂ s s'
(fun l l' hs hp => by
simp only [quot_mk_to_coe'', coe_eq_coe] at hs
apply hs.countP_congr
simpa using hp)
#align multiset.countp_congr Multiset.countP_congr
end
section
variable [DecidableEq α] {s : Multiset α}
def count (a : α) : Multiset α → ℕ :=
countP (a = ·)
#align multiset.count Multiset.count
@[simp]
theorem coe_count (a : α) (l : List α) : count a (ofList l) = l.count a := by
simp_rw [count, List.count, coe_countP (a = ·) l, @eq_comm _ a]
rfl
#align multiset.coe_count Multiset.coe_count
@[simp, nolint simpNF] -- Porting note (#10618): simp can prove this at EOF, but not right now
theorem count_zero (a : α) : count a 0 = 0 :=
rfl
#align multiset.count_zero Multiset.count_zero
@[simp]
theorem count_cons_self (a : α) (s : Multiset α) : count a (a ::ₘ s) = count a s + 1 :=
countP_cons_of_pos _ <| rfl
#align multiset.count_cons_self Multiset.count_cons_self
@[simp]
theorem count_cons_of_ne {a b : α} (h : a ≠ b) (s : Multiset α) : count a (b ::ₘ s) = count a s :=
countP_cons_of_neg _ <| h
#align multiset.count_cons_of_ne Multiset.count_cons_of_ne
theorem count_le_card (a : α) (s) : count a s ≤ card s :=
countP_le_card _ _
#align multiset.count_le_card Multiset.count_le_card
theorem count_le_of_le (a : α) {s t} : s ≤ t → count a s ≤ count a t :=
countP_le_of_le _
#align multiset.count_le_of_le Multiset.count_le_of_le
theorem count_le_count_cons (a b : α) (s : Multiset α) : count a s ≤ count a (b ::ₘ s) :=
count_le_of_le _ (le_cons_self _ _)
#align multiset.count_le_count_cons Multiset.count_le_count_cons
theorem count_cons (a b : α) (s : Multiset α) :
count a (b ::ₘ s) = count a s + if a = b then 1 else 0 :=
countP_cons (a = ·) _ _
#align multiset.count_cons Multiset.count_cons
theorem count_singleton_self (a : α) : count a ({a} : Multiset α) = 1 :=
count_eq_one_of_mem (nodup_singleton a) <| mem_singleton_self a
#align multiset.count_singleton_self Multiset.count_singleton_self
theorem count_singleton (a b : α) : count a ({b} : Multiset α) = if a = b then 1 else 0 := by
simp only [count_cons, ← cons_zero, count_zero, zero_add]
#align multiset.count_singleton Multiset.count_singleton
@[simp]
theorem count_add (a : α) : ∀ s t, count a (s + t) = count a s + count a t :=
countP_add _
#align multiset.count_add Multiset.count_add
def countAddMonoidHom (a : α) : Multiset α →+ ℕ :=
countPAddMonoidHom (a = ·)
#align multiset.count_add_monoid_hom Multiset.countAddMonoidHom
@[simp]
theorem coe_countAddMonoidHom {a : α} : (countAddMonoidHom a : Multiset α → ℕ) = count a :=
rfl
#align multiset.coe_count_add_monoid_hom Multiset.coe_countAddMonoidHom
@[simp]
theorem count_nsmul (a : α) (n s) : count a (n • s) = n * count a s := by
induction n <;> simp [*, succ_nsmul, succ_mul, zero_nsmul]
#align multiset.count_nsmul Multiset.count_nsmul
@[simp]
lemma count_attach (a : {x // x ∈ s}) : s.attach.count a = s.count ↑a :=
Eq.trans (countP_congr rfl fun _ _ => by simp [Subtype.ext_iff]) <| countP_attach _ _
#align multiset.count_attach Multiset.count_attach
theorem count_pos {a : α} {s : Multiset α} : 0 < count a s ↔ a ∈ s := by simp [count, countP_pos]
#align multiset.count_pos Multiset.count_pos
theorem one_le_count_iff_mem {a : α} {s : Multiset α} : 1 ≤ count a s ↔ a ∈ s := by
rw [succ_le_iff, count_pos]
#align multiset.one_le_count_iff_mem Multiset.one_le_count_iff_mem
@[simp]
theorem count_eq_zero_of_not_mem {a : α} {s : Multiset α} (h : a ∉ s) : count a s = 0 :=
by_contradiction fun h' => h <| count_pos.1 (Nat.pos_of_ne_zero h')
#align multiset.count_eq_zero_of_not_mem Multiset.count_eq_zero_of_not_mem
lemma count_ne_zero {a : α} : count a s ≠ 0 ↔ a ∈ s := Nat.pos_iff_ne_zero.symm.trans count_pos
#align multiset.count_ne_zero Multiset.count_ne_zero
@[simp] lemma count_eq_zero {a : α} : count a s = 0 ↔ a ∉ s := count_ne_zero.not_right
#align multiset.count_eq_zero Multiset.count_eq_zero
theorem count_eq_card {a : α} {s} : count a s = card s ↔ ∀ x ∈ s, a = x := by
simp [countP_eq_card, count, @eq_comm _ a]
#align multiset.count_eq_card Multiset.count_eq_card
@[simp]
theorem count_replicate_self (a : α) (n : ℕ) : count a (replicate n a) = n := by
convert List.count_replicate_self a n
rw [← coe_count, coe_replicate]
#align multiset.count_replicate_self Multiset.count_replicate_self
theorem count_replicate (a b : α) (n : ℕ) : count a (replicate n b) = if a = b then n else 0 := by
convert List.count_replicate a b n
rw [← coe_count, coe_replicate]
#align multiset.count_replicate Multiset.count_replicate
@[simp]
theorem count_erase_self (a : α) (s : Multiset α) : count a (erase s a) = count a s - 1 :=
Quotient.inductionOn s fun l => by
convert List.count_erase_self a l <;> rw [← coe_count] <;> simp
#align multiset.count_erase_self Multiset.count_erase_self
@[simp]
theorem count_erase_of_ne {a b : α} (ab : a ≠ b) (s : Multiset α) :
count a (erase s b) = count a s :=
Quotient.inductionOn s fun l => by
convert List.count_erase_of_ne ab l <;> rw [← coe_count] <;> simp
#align multiset.count_erase_of_ne Multiset.count_erase_of_ne
@[simp]
theorem count_sub (a : α) (s t : Multiset α) : count a (s - t) = count a s - count a t := by
revert s; refine Multiset.induction_on t (by simp) fun b t IH s => ?_
rw [sub_cons, IH]
rcases Decidable.eq_or_ne a b with rfl | ab
· rw [count_erase_self, count_cons_self, Nat.sub_sub, add_comm]
· rw [count_erase_of_ne ab, count_cons_of_ne ab]
#align multiset.count_sub Multiset.count_sub
@[simp]
theorem count_union (a : α) (s t : Multiset α) : count a (s ∪ t) = max (count a s) (count a t) := by
simp [(· ∪ ·), union, Nat.sub_add_eq_max]
#align multiset.count_union Multiset.count_union
@[simp]
theorem count_inter (a : α) (s t : Multiset α) : count a (s ∩ t) = min (count a s) (count a t) := by
apply @Nat.add_left_cancel (count a (s - t))
rw [← count_add, sub_add_inter, count_sub, Nat.sub_add_min_cancel]
#align multiset.count_inter Multiset.count_inter
theorem le_count_iff_replicate_le {a : α} {s : Multiset α} {n : ℕ} :
n ≤ count a s ↔ replicate n a ≤ s :=
Quot.inductionOn s fun _l => by
simp only [quot_mk_to_coe'', mem_coe, coe_count]
exact le_count_iff_replicate_sublist.trans replicate_le_coe.symm
#align multiset.le_count_iff_replicate_le Multiset.le_count_iff_replicate_le
@[simp]
theorem count_filter_of_pos {p} [DecidablePred p] {a} {s : Multiset α} (h : p a) :
count a (filter p s) = count a s :=
Quot.inductionOn s fun _l => by
simp only [quot_mk_to_coe'', filter_coe, mem_coe, coe_count, decide_eq_true_eq]
apply count_filter
simpa using h
#align multiset.count_filter_of_pos Multiset.count_filter_of_pos
@[simp]
theorem count_filter_of_neg {p} [DecidablePred p] {a} {s : Multiset α} (h : ¬p a) :
count a (filter p s) = 0 :=
Multiset.count_eq_zero_of_not_mem fun t => h (of_mem_filter t)
#align multiset.count_filter_of_neg Multiset.count_filter_of_neg
theorem count_filter {p} [DecidablePred p] {a} {s : Multiset α} :
count a (filter p s) = if p a then count a s else 0 := by
split_ifs with h
· exact count_filter_of_pos h
· exact count_filter_of_neg h
#align multiset.count_filter Multiset.count_filter
theorem ext {s t : Multiset α} : s = t ↔ ∀ a, count a s = count a t :=
Quotient.inductionOn₂ s t fun _l₁ _l₂ => Quotient.eq.trans <| by
simp only [quot_mk_to_coe, filter_coe, mem_coe, coe_count, decide_eq_true_eq]
apply perm_iff_count
#align multiset.ext Multiset.ext
@[ext]
theorem ext' {s t : Multiset α} : (∀ a, count a s = count a t) → s = t :=
ext.2
#align multiset.ext' Multiset.ext'
@[simp]
theorem coe_inter (s t : List α) : (s ∩ t : Multiset α) = (s.bagInter t : List α) := by ext; simp
#align multiset.coe_inter Multiset.coe_inter
theorem le_iff_count {s t : Multiset α} : s ≤ t ↔ ∀ a, count a s ≤ count a t :=
⟨fun h a => count_le_of_le a h, fun al => by
rw [← (ext.2 fun a => by simp [max_eq_right (al a)] : s ∪ t = t)]; apply le_union_left⟩
#align multiset.le_iff_count Multiset.le_iff_count
instance : DistribLattice (Multiset α) :=
{ le_sup_inf := fun s t u =>
le_of_eq <|
Eq.symm <|
ext.2 fun a => by
simp only [max_min_distrib_left, Multiset.count_inter, Multiset.sup_eq_union,
Multiset.count_union, Multiset.inf_eq_inter] }
theorem count_map {α β : Type*} (f : α → β) (s : Multiset α) [DecidableEq β] (b : β) :
count b (map f s) = card (s.filter fun a => b = f a) := by
simp [Bool.beq_eq_decide_eq, eq_comm, count, countP_map]
#align multiset.count_map Multiset.count_map
theorem count_map_eq_count [DecidableEq β] (f : α → β) (s : Multiset α)
(hf : Set.InjOn f { x : α | x ∈ s }) (x) (H : x ∈ s) : (s.map f).count (f x) = s.count x := by
suffices (filter (fun a : α => f x = f a) s).count x = card (filter (fun a : α => f x = f a) s) by
rw [count, countP_map, ← this]
exact count_filter_of_pos <| rfl
· rw [eq_replicate_card.2 fun b hb => (hf H (mem_filter.1 hb).left _).symm]
· simp only [count_replicate, eq_self_iff_true, if_true, card_replicate]
· simp only [mem_filter, beq_iff_eq, and_imp, @eq_comm _ (f x), imp_self, implies_true]
#align multiset.count_map_eq_count Multiset.count_map_eq_count
theorem count_map_eq_count' [DecidableEq β] (f : α → β) (s : Multiset α) (hf : Function.Injective f)
(x : α) : (s.map f).count (f x) = s.count x := by
by_cases H : x ∈ s
· exact count_map_eq_count f _ hf.injOn _ H
· rw [count_eq_zero_of_not_mem H, count_eq_zero, mem_map]
rintro ⟨k, hks, hkx⟩
rw [hf hkx] at hks
contradiction
#align multiset.count_map_eq_count' Multiset.count_map_eq_count'
@[simp]
| Mathlib/Data/Multiset/Basic.lean | 2,654 | 2,656 | theorem sub_filter_eq_filter_not [DecidableEq α] (p) [DecidablePred p] (s : Multiset α) :
s - s.filter p = s.filter (fun a ↦ ¬ p a) := by |
ext a; by_cases h : p a <;> simp [h]
|
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.hausdorff_distance from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156"
noncomputable section
open NNReal ENNReal Topology Set Filter Bornology
universe u v w
variable {ι : Sort*} {α : Type u} {β : Type v}
namespace Metric
section Cthickening
variable [PseudoEMetricSpace α] {δ ε : ℝ} {s t : Set α} {x : α}
open EMetric
def cthickening (δ : ℝ) (E : Set α) : Set α :=
{ x : α | infEdist x E ≤ ENNReal.ofReal δ }
#align metric.cthickening Metric.cthickening
@[simp]
theorem mem_cthickening_iff : x ∈ cthickening δ s ↔ infEdist x s ≤ ENNReal.ofReal δ :=
Iff.rfl
#align metric.mem_cthickening_iff Metric.mem_cthickening_iff
lemma eventually_not_mem_cthickening_of_infEdist_pos {E : Set α} {x : α} (h : x ∉ closure E) :
∀ᶠ δ in 𝓝 (0 : ℝ), x ∉ Metric.cthickening δ E := by
obtain ⟨ε, ⟨ε_pos, ε_lt⟩⟩ := exists_real_pos_lt_infEdist_of_not_mem_closure h
filter_upwards [eventually_lt_nhds ε_pos] with δ hδ
simp only [cthickening, mem_setOf_eq, not_le]
exact ((ofReal_lt_ofReal_iff ε_pos).mpr hδ).trans ε_lt
theorem mem_cthickening_of_edist_le (x y : α) (δ : ℝ) (E : Set α) (h : y ∈ E)
(h' : edist x y ≤ ENNReal.ofReal δ) : x ∈ cthickening δ E :=
(infEdist_le_edist_of_mem h).trans h'
#align metric.mem_cthickening_of_edist_le Metric.mem_cthickening_of_edist_le
theorem mem_cthickening_of_dist_le {α : Type*} [PseudoMetricSpace α] (x y : α) (δ : ℝ) (E : Set α)
(h : y ∈ E) (h' : dist x y ≤ δ) : x ∈ cthickening δ E := by
apply mem_cthickening_of_edist_le x y δ E h
rw [edist_dist]
exact ENNReal.ofReal_le_ofReal h'
#align metric.mem_cthickening_of_dist_le Metric.mem_cthickening_of_dist_le
theorem cthickening_eq_preimage_infEdist (δ : ℝ) (E : Set α) :
cthickening δ E = (fun x => infEdist x E) ⁻¹' Iic (ENNReal.ofReal δ) :=
rfl
#align metric.cthickening_eq_preimage_inf_edist Metric.cthickening_eq_preimage_infEdist
theorem isClosed_cthickening {δ : ℝ} {E : Set α} : IsClosed (cthickening δ E) :=
IsClosed.preimage continuous_infEdist isClosed_Iic
#align metric.is_closed_cthickening Metric.isClosed_cthickening
@[simp]
theorem cthickening_empty (δ : ℝ) : cthickening δ (∅ : Set α) = ∅ := by
simp only [cthickening, ENNReal.ofReal_ne_top, setOf_false, infEdist_empty, top_le_iff]
#align metric.cthickening_empty Metric.cthickening_empty
theorem cthickening_of_nonpos {δ : ℝ} (hδ : δ ≤ 0) (E : Set α) : cthickening δ E = closure E := by
ext x
simp [mem_closure_iff_infEdist_zero, cthickening, ENNReal.ofReal_eq_zero.2 hδ]
#align metric.cthickening_of_nonpos Metric.cthickening_of_nonpos
@[simp]
theorem cthickening_zero (E : Set α) : cthickening 0 E = closure E :=
cthickening_of_nonpos le_rfl E
#align metric.cthickening_zero Metric.cthickening_zero
theorem cthickening_max_zero (δ : ℝ) (E : Set α) : cthickening (max 0 δ) E = cthickening δ E := by
cases le_total δ 0 <;> simp [cthickening_of_nonpos, *]
#align metric.cthickening_max_zero Metric.cthickening_max_zero
theorem cthickening_mono {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
cthickening δ₁ E ⊆ cthickening δ₂ E :=
preimage_mono (Iic_subset_Iic.mpr (ENNReal.ofReal_le_ofReal hle))
#align metric.cthickening_mono Metric.cthickening_mono
@[simp]
theorem cthickening_singleton {α : Type*} [PseudoMetricSpace α] (x : α) {δ : ℝ} (hδ : 0 ≤ δ) :
cthickening δ ({x} : Set α) = closedBall x δ := by
ext y
simp [cthickening, edist_dist, ENNReal.ofReal_le_ofReal_iff hδ]
#align metric.cthickening_singleton Metric.cthickening_singleton
theorem closedBall_subset_cthickening_singleton {α : Type*} [PseudoMetricSpace α] (x : α) (δ : ℝ) :
closedBall x δ ⊆ cthickening δ ({x} : Set α) := by
rcases lt_or_le δ 0 with (hδ | hδ)
· simp only [closedBall_eq_empty.mpr hδ, empty_subset]
· simp only [cthickening_singleton x hδ, Subset.rfl]
#align metric.closed_ball_subset_cthickening_singleton Metric.closedBall_subset_cthickening_singleton
theorem cthickening_subset_of_subset (δ : ℝ) {E₁ E₂ : Set α} (h : E₁ ⊆ E₂) :
cthickening δ E₁ ⊆ cthickening δ E₂ := fun _ hx => le_trans (infEdist_anti h) hx
#align metric.cthickening_subset_of_subset Metric.cthickening_subset_of_subset
theorem cthickening_subset_thickening {δ₁ : ℝ≥0} {δ₂ : ℝ} (hlt : (δ₁ : ℝ) < δ₂) (E : Set α) :
cthickening δ₁ E ⊆ thickening δ₂ E := fun _ hx =>
hx.out.trans_lt ((ENNReal.ofReal_lt_ofReal_iff (lt_of_le_of_lt δ₁.prop hlt)).mpr hlt)
#align metric.cthickening_subset_thickening Metric.cthickening_subset_thickening
theorem cthickening_subset_thickening' {δ₁ δ₂ : ℝ} (δ₂_pos : 0 < δ₂) (hlt : δ₁ < δ₂) (E : Set α) :
cthickening δ₁ E ⊆ thickening δ₂ E := fun _ hx =>
lt_of_le_of_lt hx.out ((ENNReal.ofReal_lt_ofReal_iff δ₂_pos).mpr hlt)
#align metric.cthickening_subset_thickening' Metric.cthickening_subset_thickening'
theorem thickening_subset_cthickening (δ : ℝ) (E : Set α) : thickening δ E ⊆ cthickening δ E := by
intro x hx
rw [thickening, mem_setOf_eq] at hx
exact hx.le
#align metric.thickening_subset_cthickening Metric.thickening_subset_cthickening
theorem thickening_subset_cthickening_of_le {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
thickening δ₁ E ⊆ cthickening δ₂ E :=
(thickening_subset_cthickening δ₁ E).trans (cthickening_mono hle E)
#align metric.thickening_subset_cthickening_of_le Metric.thickening_subset_cthickening_of_le
theorem _root_.Bornology.IsBounded.cthickening {α : Type*} [PseudoMetricSpace α] {δ : ℝ} {E : Set α}
(h : IsBounded E) : IsBounded (cthickening δ E) := by
have : IsBounded (thickening (max (δ + 1) 1) E) := h.thickening
apply this.subset
exact cthickening_subset_thickening' (zero_lt_one.trans_le (le_max_right _ _))
((lt_add_one _).trans_le (le_max_left _ _)) _
#align metric.bounded.cthickening Bornology.IsBounded.cthickening
protected theorem _root_.IsCompact.cthickening
{α : Type*} [PseudoMetricSpace α] [ProperSpace α] {s : Set α}
(hs : IsCompact s) {r : ℝ} : IsCompact (cthickening r s) :=
isCompact_of_isClosed_isBounded isClosed_cthickening hs.isBounded.cthickening
theorem thickening_subset_interior_cthickening (δ : ℝ) (E : Set α) :
thickening δ E ⊆ interior (cthickening δ E) :=
(subset_interior_iff_isOpen.mpr isOpen_thickening).trans
(interior_mono (thickening_subset_cthickening δ E))
#align metric.thickening_subset_interior_cthickening Metric.thickening_subset_interior_cthickening
theorem closure_thickening_subset_cthickening (δ : ℝ) (E : Set α) :
closure (thickening δ E) ⊆ cthickening δ E :=
(closure_mono (thickening_subset_cthickening δ E)).trans isClosed_cthickening.closure_subset
#align metric.closure_thickening_subset_cthickening Metric.closure_thickening_subset_cthickening
theorem closure_subset_cthickening (δ : ℝ) (E : Set α) : closure E ⊆ cthickening δ E := by
rw [← cthickening_of_nonpos (min_le_right δ 0)]
exact cthickening_mono (min_le_left δ 0) E
#align metric.closure_subset_cthickening Metric.closure_subset_cthickening
theorem closure_subset_thickening {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) :
closure E ⊆ thickening δ E := by
rw [← cthickening_zero]
exact cthickening_subset_thickening' δ_pos δ_pos E
#align metric.closure_subset_thickening Metric.closure_subset_thickening
theorem self_subset_thickening {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) : E ⊆ thickening δ E :=
(@subset_closure _ E).trans (closure_subset_thickening δ_pos E)
#align metric.self_subset_thickening Metric.self_subset_thickening
theorem self_subset_cthickening {δ : ℝ} (E : Set α) : E ⊆ cthickening δ E :=
subset_closure.trans (closure_subset_cthickening δ E)
#align metric.self_subset_cthickening Metric.self_subset_cthickening
theorem thickening_mem_nhdsSet (E : Set α) {δ : ℝ} (hδ : 0 < δ) : thickening δ E ∈ 𝓝ˢ E :=
isOpen_thickening.mem_nhdsSet.2 <| self_subset_thickening hδ E
#align metric.thickening_mem_nhds_set Metric.thickening_mem_nhdsSet
theorem cthickening_mem_nhdsSet (E : Set α) {δ : ℝ} (hδ : 0 < δ) : cthickening δ E ∈ 𝓝ˢ E :=
mem_of_superset (thickening_mem_nhdsSet E hδ) (thickening_subset_cthickening _ _)
#align metric.cthickening_mem_nhds_set Metric.cthickening_mem_nhdsSet
@[simp]
theorem thickening_union (δ : ℝ) (s t : Set α) :
thickening δ (s ∪ t) = thickening δ s ∪ thickening δ t := by
simp_rw [thickening, infEdist_union, inf_eq_min, min_lt_iff, setOf_or]
#align metric.thickening_union Metric.thickening_union
@[simp]
theorem cthickening_union (δ : ℝ) (s t : Set α) :
cthickening δ (s ∪ t) = cthickening δ s ∪ cthickening δ t := by
simp_rw [cthickening, infEdist_union, inf_eq_min, min_le_iff, setOf_or]
#align metric.cthickening_union Metric.cthickening_union
@[simp]
theorem thickening_iUnion (δ : ℝ) (f : ι → Set α) :
thickening δ (⋃ i, f i) = ⋃ i, thickening δ (f i) := by
simp_rw [thickening, infEdist_iUnion, iInf_lt_iff, setOf_exists]
#align metric.thickening_Union Metric.thickening_iUnion
lemma thickening_biUnion {ι : Type*} (δ : ℝ) (f : ι → Set α) (I : Set ι) :
thickening δ (⋃ i ∈ I, f i) = ⋃ i ∈ I, thickening δ (f i) := by simp only [thickening_iUnion]
theorem ediam_cthickening_le (ε : ℝ≥0) :
EMetric.diam (cthickening ε s) ≤ EMetric.diam s + 2 * ε := by
refine diam_le fun x hx y hy => ENNReal.le_of_forall_pos_le_add fun δ hδ _ => ?_
rw [mem_cthickening_iff, ENNReal.ofReal_coe_nnreal] at hx hy
have hε : (ε : ℝ≥0∞) < ε + δ := ENNReal.coe_lt_coe.2 (lt_add_of_pos_right _ hδ)
replace hx := hx.trans_lt hε
obtain ⟨x', hx', hxx'⟩ := infEdist_lt_iff.mp hx
calc
edist x y ≤ edist x x' + edist y x' := edist_triangle_right _ _ _
_ ≤ ε + δ + (infEdist y s + EMetric.diam s) :=
add_le_add hxx'.le (edist_le_infEdist_add_ediam hx')
_ ≤ ε + δ + (ε + EMetric.diam s) := add_le_add_left (add_le_add_right hy _) _
_ = _ := by rw [two_mul]; ac_rfl
#align metric.ediam_cthickening_le Metric.ediam_cthickening_le
theorem ediam_thickening_le (ε : ℝ≥0) : EMetric.diam (thickening ε s) ≤ EMetric.diam s + 2 * ε :=
(EMetric.diam_mono <| thickening_subset_cthickening _ _).trans <| ediam_cthickening_le _
#align metric.ediam_thickening_le Metric.ediam_thickening_le
theorem diam_cthickening_le {α : Type*} [PseudoMetricSpace α] (s : Set α) (hε : 0 ≤ ε) :
diam (cthickening ε s) ≤ diam s + 2 * ε := by
lift ε to ℝ≥0 using hε
refine (toReal_le_add' (ediam_cthickening_le _) ?_ ?_).trans_eq ?_
· exact fun h ↦ top_unique <| h ▸ EMetric.diam_mono (self_subset_cthickening _)
· simp [mul_eq_top]
· simp [diam]
#align metric.diam_cthickening_le Metric.diam_cthickening_le
theorem diam_thickening_le {α : Type*} [PseudoMetricSpace α] (s : Set α) (hε : 0 ≤ ε) :
diam (thickening ε s) ≤ diam s + 2 * ε := by
by_cases hs : IsBounded s
· exact (diam_mono (thickening_subset_cthickening _ _) hs.cthickening).trans
(diam_cthickening_le _ hε)
obtain rfl | hε := hε.eq_or_lt
· simp [thickening_of_nonpos, diam_nonneg]
· rw [diam_eq_zero_of_unbounded (mt (IsBounded.subset · <| self_subset_thickening hε _) hs)]
positivity
#align metric.diam_thickening_le Metric.diam_thickening_le
@[simp]
theorem thickening_closure : thickening δ (closure s) = thickening δ s := by
simp_rw [thickening, infEdist_closure]
#align metric.thickening_closure Metric.thickening_closure
@[simp]
theorem cthickening_closure : cthickening δ (closure s) = cthickening δ s := by
simp_rw [cthickening, infEdist_closure]
#align metric.cthickening_closure Metric.cthickening_closure
open ENNReal
theorem _root_.Disjoint.exists_thickenings (hst : Disjoint s t) (hs : IsCompact s)
(ht : IsClosed t) :
∃ δ, 0 < δ ∧ Disjoint (thickening δ s) (thickening δ t) := by
obtain ⟨r, hr, h⟩ := exists_pos_forall_lt_edist hs ht hst
refine ⟨r / 2, half_pos (NNReal.coe_pos.2 hr), ?_⟩
rw [disjoint_iff_inf_le]
rintro z ⟨hzs, hzt⟩
rw [mem_thickening_iff_exists_edist_lt] at hzs hzt
rw [← NNReal.coe_two, ← NNReal.coe_div, ENNReal.ofReal_coe_nnreal] at hzs hzt
obtain ⟨x, hx, hzx⟩ := hzs
obtain ⟨y, hy, hzy⟩ := hzt
refine (h x hx y hy).not_le ?_
calc
edist x y ≤ edist z x + edist z y := edist_triangle_left _ _ _
_ ≤ ↑(r / 2) + ↑(r / 2) := add_le_add hzx.le hzy.le
_ = r := by rw [← ENNReal.coe_add, add_halves]
#align disjoint.exists_thickenings Disjoint.exists_thickenings
theorem _root_.Disjoint.exists_cthickenings (hst : Disjoint s t) (hs : IsCompact s)
(ht : IsClosed t) :
∃ δ, 0 < δ ∧ Disjoint (cthickening δ s) (cthickening δ t) := by
obtain ⟨δ, hδ, h⟩ := hst.exists_thickenings hs ht
refine ⟨δ / 2, half_pos hδ, h.mono ?_ ?_⟩ <;>
exact cthickening_subset_thickening' hδ (half_lt_self hδ) _
#align disjoint.exists_cthickenings Disjoint.exists_cthickenings
theorem _root_.IsCompact.exists_cthickening_subset_open (hs : IsCompact s) (ht : IsOpen t)
(hst : s ⊆ t) :
∃ δ, 0 < δ ∧ cthickening δ s ⊆ t :=
(hst.disjoint_compl_right.exists_cthickenings hs ht.isClosed_compl).imp fun _ h =>
⟨h.1, disjoint_compl_right_iff_subset.1 <| h.2.mono_right <| self_subset_cthickening _⟩
#align is_compact.exists_cthickening_subset_open IsCompact.exists_cthickening_subset_open
theorem _root_.IsCompact.exists_isCompact_cthickening [LocallyCompactSpace α] (hs : IsCompact s) :
∃ δ, 0 < δ ∧ IsCompact (cthickening δ s) := by
rcases exists_compact_superset hs with ⟨K, K_compact, hK⟩
rcases hs.exists_cthickening_subset_open isOpen_interior hK with ⟨δ, δpos, hδ⟩
refine ⟨δ, δpos, ?_⟩
exact K_compact.of_isClosed_subset isClosed_cthickening (hδ.trans interior_subset)
theorem _root_.IsCompact.exists_thickening_subset_open (hs : IsCompact s) (ht : IsOpen t)
(hst : s ⊆ t) : ∃ δ, 0 < δ ∧ thickening δ s ⊆ t :=
let ⟨δ, h₀, hδ⟩ := hs.exists_cthickening_subset_open ht hst
⟨δ, h₀, (thickening_subset_cthickening _ _).trans hδ⟩
#align is_compact.exists_thickening_subset_open IsCompact.exists_thickening_subset_open
theorem hasBasis_nhdsSet_thickening {K : Set α} (hK : IsCompact K) :
(𝓝ˢ K).HasBasis (fun δ : ℝ => 0 < δ) fun δ => thickening δ K :=
(hasBasis_nhdsSet K).to_hasBasis' (fun _U hU => hK.exists_thickening_subset_open hU.1 hU.2)
fun _ => thickening_mem_nhdsSet K
#align metric.has_basis_nhds_set_thickening Metric.hasBasis_nhdsSet_thickening
theorem hasBasis_nhdsSet_cthickening {K : Set α} (hK : IsCompact K) :
(𝓝ˢ K).HasBasis (fun δ : ℝ => 0 < δ) fun δ => cthickening δ K :=
(hasBasis_nhdsSet K).to_hasBasis' (fun _U hU => hK.exists_cthickening_subset_open hU.1 hU.2)
fun _ => cthickening_mem_nhdsSet K
#align metric.has_basis_nhds_set_cthickening Metric.hasBasis_nhdsSet_cthickening
theorem cthickening_eq_iInter_cthickening' {δ : ℝ} (s : Set ℝ) (hsδ : s ⊆ Ioi δ)
(hs : ∀ ε, δ < ε → (s ∩ Ioc δ ε).Nonempty) (E : Set α) :
cthickening δ E = ⋂ ε ∈ s, cthickening ε E := by
apply Subset.antisymm
· exact subset_iInter₂ fun _ hε => cthickening_mono (le_of_lt (hsδ hε)) E
· unfold cthickening
intro x hx
simp only [mem_iInter, mem_setOf_eq] at *
apply ENNReal.le_of_forall_pos_le_add
intro η η_pos _
rcases hs (δ + η) (lt_add_of_pos_right _ (NNReal.coe_pos.mpr η_pos)) with ⟨ε, ⟨hsε, hε⟩⟩
apply ((hx ε hsε).trans (ENNReal.ofReal_le_ofReal hε.2)).trans
rw [ENNReal.coe_nnreal_eq η]
exact ENNReal.ofReal_add_le
#align metric.cthickening_eq_Inter_cthickening' Metric.cthickening_eq_iInter_cthickening'
theorem cthickening_eq_iInter_cthickening {δ : ℝ} (E : Set α) :
cthickening δ E = ⋂ (ε : ℝ) (_ : δ < ε), cthickening ε E := by
apply cthickening_eq_iInter_cthickening' (Ioi δ) rfl.subset
simp_rw [inter_eq_right.mpr Ioc_subset_Ioi_self]
exact fun _ hε => nonempty_Ioc.mpr hε
#align metric.cthickening_eq_Inter_cthickening Metric.cthickening_eq_iInter_cthickening
theorem cthickening_eq_iInter_thickening' {δ : ℝ} (δ_nn : 0 ≤ δ) (s : Set ℝ) (hsδ : s ⊆ Ioi δ)
(hs : ∀ ε, δ < ε → (s ∩ Ioc δ ε).Nonempty) (E : Set α) :
cthickening δ E = ⋂ ε ∈ s, thickening ε E := by
refine (subset_iInter₂ fun ε hε => ?_).antisymm ?_
· obtain ⟨ε', -, hε'⟩ := hs ε (hsδ hε)
have ss := cthickening_subset_thickening' (lt_of_le_of_lt δ_nn hε'.1) hε'.1 E
exact ss.trans (thickening_mono hε'.2 E)
· rw [cthickening_eq_iInter_cthickening' s hsδ hs E]
exact iInter₂_mono fun ε _ => thickening_subset_cthickening ε E
#align metric.cthickening_eq_Inter_thickening' Metric.cthickening_eq_iInter_thickening'
theorem cthickening_eq_iInter_thickening {δ : ℝ} (δ_nn : 0 ≤ δ) (E : Set α) :
cthickening δ E = ⋂ (ε : ℝ) (_ : δ < ε), thickening ε E := by
apply cthickening_eq_iInter_thickening' δ_nn (Ioi δ) rfl.subset
simp_rw [inter_eq_right.mpr Ioc_subset_Ioi_self]
exact fun _ hε => nonempty_Ioc.mpr hε
#align metric.cthickening_eq_Inter_thickening Metric.cthickening_eq_iInter_thickening
theorem cthickening_eq_iInter_thickening'' (δ : ℝ) (E : Set α) :
cthickening δ E = ⋂ (ε : ℝ) (_ : max 0 δ < ε), thickening ε E := by
rw [← cthickening_max_zero, cthickening_eq_iInter_thickening]
exact le_max_left _ _
#align metric.cthickening_eq_Inter_thickening'' Metric.cthickening_eq_iInter_thickening''
theorem closure_eq_iInter_cthickening' (E : Set α) (s : Set ℝ)
(hs : ∀ ε, 0 < ε → (s ∩ Ioc 0 ε).Nonempty) : closure E = ⋂ δ ∈ s, cthickening δ E := by
by_cases hs₀ : s ⊆ Ioi 0
· rw [← cthickening_zero]
apply cthickening_eq_iInter_cthickening' _ hs₀ hs
obtain ⟨δ, hδs, δ_nonpos⟩ := not_subset.mp hs₀
rw [Set.mem_Ioi, not_lt] at δ_nonpos
apply Subset.antisymm
· exact subset_iInter₂ fun ε _ => closure_subset_cthickening ε E
· rw [← cthickening_of_nonpos δ_nonpos E]
exact biInter_subset_of_mem hδs
#align metric.closure_eq_Inter_cthickening' Metric.closure_eq_iInter_cthickening'
theorem closure_eq_iInter_cthickening (E : Set α) :
closure E = ⋂ (δ : ℝ) (_ : 0 < δ), cthickening δ E := by
rw [← cthickening_zero]
exact cthickening_eq_iInter_cthickening E
#align metric.closure_eq_Inter_cthickening Metric.closure_eq_iInter_cthickening
theorem closure_eq_iInter_thickening' (E : Set α) (s : Set ℝ) (hs₀ : s ⊆ Ioi 0)
(hs : ∀ ε, 0 < ε → (s ∩ Ioc 0 ε).Nonempty) : closure E = ⋂ δ ∈ s, thickening δ E := by
rw [← cthickening_zero]
apply cthickening_eq_iInter_thickening' le_rfl _ hs₀ hs
#align metric.closure_eq_Inter_thickening' Metric.closure_eq_iInter_thickening'
theorem closure_eq_iInter_thickening (E : Set α) :
closure E = ⋂ (δ : ℝ) (_ : 0 < δ), thickening δ E := by
rw [← cthickening_zero]
exact cthickening_eq_iInter_thickening rfl.ge E
#align metric.closure_eq_Inter_thickening Metric.closure_eq_iInter_thickening
theorem frontier_cthickening_subset (E : Set α) {δ : ℝ} :
frontier (cthickening δ E) ⊆ { x : α | infEdist x E = ENNReal.ofReal δ } :=
frontier_le_subset_eq continuous_infEdist continuous_const
#align metric.frontier_cthickening_subset Metric.frontier_cthickening_subset
theorem closedBall_subset_cthickening {α : Type*} [PseudoMetricSpace α] {x : α} {E : Set α}
(hx : x ∈ E) (δ : ℝ) : closedBall x δ ⊆ cthickening δ E := by
refine (closedBall_subset_cthickening_singleton _ _).trans (cthickening_subset_of_subset _ ?_)
simpa using hx
#align metric.closed_ball_subset_cthickening Metric.closedBall_subset_cthickening
theorem cthickening_subset_iUnion_closedBall_of_lt {α : Type*} [PseudoMetricSpace α] (E : Set α)
{δ δ' : ℝ} (hδ₀ : 0 < δ') (hδδ' : δ < δ') : cthickening δ E ⊆ ⋃ x ∈ E, closedBall x δ' := by
refine (cthickening_subset_thickening' hδ₀ hδδ' E).trans fun x hx => ?_
obtain ⟨y, hy₁, hy₂⟩ := mem_thickening_iff.mp hx
exact mem_iUnion₂.mpr ⟨y, hy₁, hy₂.le⟩
#align metric.cthickening_subset_Union_closed_ball_of_lt Metric.cthickening_subset_iUnion_closedBall_of_lt
theorem _root_.IsCompact.cthickening_eq_biUnion_closedBall {α : Type*} [PseudoMetricSpace α]
{δ : ℝ} {E : Set α} (hE : IsCompact E) (hδ : 0 ≤ δ) :
cthickening δ E = ⋃ x ∈ E, closedBall x δ := by
rcases eq_empty_or_nonempty E with (rfl | hne)
· simp only [cthickening_empty, biUnion_empty]
refine Subset.antisymm (fun x hx ↦ ?_)
(iUnion₂_subset fun x hx ↦ closedBall_subset_cthickening hx _)
obtain ⟨y, yE, hy⟩ : ∃ y ∈ E, infEdist x E = edist x y := hE.exists_infEdist_eq_edist hne _
have D1 : edist x y ≤ ENNReal.ofReal δ := (le_of_eq hy.symm).trans hx
have D2 : dist x y ≤ δ := by
rw [edist_dist] at D1
exact (ENNReal.ofReal_le_ofReal_iff hδ).1 D1
exact mem_biUnion yE D2
#align is_compact.cthickening_eq_bUnion_closed_ball IsCompact.cthickening_eq_biUnion_closedBall
theorem cthickening_eq_biUnion_closedBall {α : Type*} [PseudoMetricSpace α] [ProperSpace α]
(E : Set α) (hδ : 0 ≤ δ) : cthickening δ E = ⋃ x ∈ closure E, closedBall x δ := by
rcases eq_empty_or_nonempty E with (rfl | hne)
· simp only [cthickening_empty, biUnion_empty, closure_empty]
rw [← cthickening_closure]
refine Subset.antisymm (fun x hx ↦ ?_)
(iUnion₂_subset fun x hx ↦ closedBall_subset_cthickening hx _)
obtain ⟨y, yE, hy⟩ : ∃ y ∈ closure E, infDist x (closure E) = dist x y :=
isClosed_closure.exists_infDist_eq_dist (closure_nonempty_iff.mpr hne) x
replace hy : dist x y ≤ δ :=
(ENNReal.ofReal_le_ofReal_iff hδ).mp
(((congr_arg ENNReal.ofReal hy.symm).le.trans ENNReal.ofReal_toReal_le).trans hx)
exact mem_biUnion yE hy
#align metric.cthickening_eq_bUnion_closed_ball Metric.cthickening_eq_biUnion_closedBall
nonrec theorem _root_.IsClosed.cthickening_eq_biUnion_closedBall {α : Type*} [PseudoMetricSpace α]
[ProperSpace α] {E : Set α} (hE : IsClosed E) (hδ : 0 ≤ δ) :
cthickening δ E = ⋃ x ∈ E, closedBall x δ := by
rw [cthickening_eq_biUnion_closedBall E hδ, hE.closure_eq]
#align is_closed.cthickening_eq_bUnion_closed_ball IsClosed.cthickening_eq_biUnion_closedBall
theorem infEdist_le_infEdist_cthickening_add :
infEdist x s ≤ infEdist x (cthickening δ s) + ENNReal.ofReal δ := by
refine le_of_forall_lt' fun r h => ?_
simp_rw [← lt_tsub_iff_right, infEdist_lt_iff, mem_cthickening_iff] at h
obtain ⟨y, hy, hxy⟩ := h
exact infEdist_le_edist_add_infEdist.trans_lt
((ENNReal.add_lt_add_of_lt_of_le (hy.trans_lt ENNReal.ofReal_lt_top).ne hxy hy).trans_eq
(tsub_add_cancel_of_le <| le_self_add.trans (lt_tsub_iff_left.1 hxy).le))
#align metric.inf_edist_le_inf_edist_cthickening_add Metric.infEdist_le_infEdist_cthickening_add
theorem infEdist_le_infEdist_thickening_add :
infEdist x s ≤ infEdist x (thickening δ s) + ENNReal.ofReal δ :=
infEdist_le_infEdist_cthickening_add.trans <|
add_le_add_right (infEdist_anti <| thickening_subset_cthickening _ _) _
#align metric.inf_edist_le_inf_edist_thickening_add Metric.infEdist_le_infEdist_thickening_add
@[simp]
theorem thickening_thickening_subset (ε δ : ℝ) (s : Set α) :
thickening ε (thickening δ s) ⊆ thickening (ε + δ) s := by
obtain hε | hε := le_total ε 0
· simp only [thickening_of_nonpos hε, empty_subset]
obtain hδ | hδ := le_total δ 0
· simp only [thickening_of_nonpos hδ, thickening_empty, empty_subset]
intro x
simp_rw [mem_thickening_iff_exists_edist_lt, ENNReal.ofReal_add hε hδ]
exact fun ⟨y, ⟨z, hz, hy⟩, hx⟩ =>
⟨z, hz, (edist_triangle _ _ _).trans_lt <| ENNReal.add_lt_add hx hy⟩
#align metric.thickening_thickening_subset Metric.thickening_thickening_subset
@[simp]
theorem thickening_cthickening_subset (ε : ℝ) (hδ : 0 ≤ δ) (s : Set α) :
thickening ε (cthickening δ s) ⊆ thickening (ε + δ) s := by
obtain hε | hε := le_total ε 0
· simp only [thickening_of_nonpos hε, empty_subset]
intro x
simp_rw [mem_thickening_iff_exists_edist_lt, mem_cthickening_iff, ← infEdist_lt_iff,
ENNReal.ofReal_add hε hδ]
rintro ⟨y, hy, hxy⟩
exact infEdist_le_edist_add_infEdist.trans_lt
(ENNReal.add_lt_add_of_lt_of_le (hy.trans_lt ENNReal.ofReal_lt_top).ne hxy hy)
#align metric.thickening_cthickening_subset Metric.thickening_cthickening_subset
@[simp]
| Mathlib/Topology/MetricSpace/Thickening.lean | 689 | 695 | theorem cthickening_thickening_subset (hε : 0 ≤ ε) (δ : ℝ) (s : Set α) :
cthickening ε (thickening δ s) ⊆ cthickening (ε + δ) s := by |
obtain hδ | hδ := le_total δ 0
· simp only [thickening_of_nonpos hδ, cthickening_empty, empty_subset]
intro x
simp_rw [mem_cthickening_iff, ENNReal.ofReal_add hε hδ]
exact fun hx => infEdist_le_infEdist_thickening_add.trans (add_le_add_right hx _)
|
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
#align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840"
noncomputable section
open Affine
open Set
section
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P]
def vectorSpan (s : Set P) : Submodule k V :=
Submodule.span k (s -ᵥ s)
#align vector_span vectorSpan
theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) :=
rfl
#align vector_span_def vectorSpan_def
theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ :=
Submodule.span_mono (vsub_self_mono h)
#align vector_span_mono vectorSpan_mono
variable (P)
@[simp]
theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by
rw [vectorSpan_def, vsub_empty, Submodule.span_empty]
#align vector_span_empty vectorSpan_empty
variable {P}
@[simp]
theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by simp [vectorSpan_def]
#align vector_span_singleton vectorSpan_singleton
theorem vsub_set_subset_vectorSpan (s : Set P) : s -ᵥ s ⊆ ↑(vectorSpan k s) :=
Submodule.subset_span
#align vsub_set_subset_vector_span vsub_set_subset_vectorSpan
theorem vsub_mem_vectorSpan {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) :
p1 -ᵥ p2 ∈ vectorSpan k s :=
vsub_set_subset_vectorSpan k s (vsub_mem_vsub hp1 hp2)
#align vsub_mem_vector_span vsub_mem_vectorSpan
def spanPoints (s : Set P) : Set P :=
{ p | ∃ p1 ∈ s, ∃ v ∈ vectorSpan k s, p = v +ᵥ p1 }
#align span_points spanPoints
theorem mem_spanPoints (p : P) (s : Set P) : p ∈ s → p ∈ spanPoints k s
| hp => ⟨p, hp, 0, Submodule.zero_mem _, (zero_vadd V p).symm⟩
#align mem_span_points mem_spanPoints
theorem subset_spanPoints (s : Set P) : s ⊆ spanPoints k s := fun p => mem_spanPoints k p s
#align subset_span_points subset_spanPoints
@[simp]
theorem spanPoints_nonempty (s : Set P) : (spanPoints k s).Nonempty ↔ s.Nonempty := by
constructor
· contrapose
rw [Set.not_nonempty_iff_eq_empty, Set.not_nonempty_iff_eq_empty]
intro h
simp [h, spanPoints]
· exact fun h => h.mono (subset_spanPoints _ _)
#align span_points_nonempty spanPoints_nonempty
theorem vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan {s : Set P} {p : P} {v : V}
(hp : p ∈ spanPoints k s) (hv : v ∈ vectorSpan k s) : v +ᵥ p ∈ spanPoints k s := by
rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩
rw [hv2p, vadd_vadd]
exact ⟨p2, hp2, v + v2, (vectorSpan k s).add_mem hv hv2, rfl⟩
#align vadd_mem_span_points_of_mem_span_points_of_mem_vector_span vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan
theorem vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints {s : Set P} {p1 p2 : P}
(hp1 : p1 ∈ spanPoints k s) (hp2 : p2 ∈ spanPoints k s) : p1 -ᵥ p2 ∈ vectorSpan k s := by
rcases hp1 with ⟨p1a, ⟨hp1a, ⟨v1, ⟨hv1, hv1p⟩⟩⟩⟩
rcases hp2 with ⟨p2a, ⟨hp2a, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩
rw [hv1p, hv2p, vsub_vadd_eq_vsub_sub (v1 +ᵥ p1a), vadd_vsub_assoc, add_comm, add_sub_assoc]
have hv1v2 : v1 - v2 ∈ vectorSpan k s := (vectorSpan k s).sub_mem hv1 hv2
refine (vectorSpan k s).add_mem ?_ hv1v2
exact vsub_mem_vectorSpan k hp1a hp2a
#align vsub_mem_vector_span_of_mem_span_points_of_mem_span_points vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints
end
structure AffineSubspace (k : Type*) {V : Type*} (P : Type*) [Ring k] [AddCommGroup V]
[Module k V] [AffineSpace V P] where
carrier : Set P
smul_vsub_vadd_mem :
∀ (c : k) {p1 p2 p3 : P},
p1 ∈ carrier → p2 ∈ carrier → p3 ∈ carrier → c • (p1 -ᵥ p2 : V) +ᵥ p3 ∈ carrier
#align affine_subspace AffineSubspace
theorem AffineMap.lineMap_mem {k V P : Type*} [Ring k] [AddCommGroup V] [Module k V]
[AddTorsor V P] {Q : AffineSubspace k P} {p₀ p₁ : P} (c : k) (h₀ : p₀ ∈ Q) (h₁ : p₁ ∈ Q) :
AffineMap.lineMap p₀ p₁ c ∈ Q := by
rw [AffineMap.lineMap_apply]
exact Q.smul_vsub_vadd_mem c h₁ h₀ h₀
#align affine_map.line_map_mem AffineMap.lineMap_mem
namespace AffineSubspace
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
[S : AffineSpace V P]
instance : CompleteLattice (AffineSubspace k P) :=
{
PartialOrder.lift ((↑) : AffineSubspace k P → Set P)
coe_injective with
sup := fun s1 s2 => affineSpan k (s1 ∪ s2)
le_sup_left := fun s1 s2 =>
Set.Subset.trans Set.subset_union_left (subset_spanPoints k _)
le_sup_right := fun s1 s2 =>
Set.Subset.trans Set.subset_union_right (subset_spanPoints k _)
sup_le := fun s1 s2 s3 hs1 hs2 => spanPoints_subset_coe_of_subset_coe (Set.union_subset hs1 hs2)
inf := fun s1 s2 =>
mk (s1 ∩ s2) fun c p1 p2 p3 hp1 hp2 hp3 =>
⟨s1.smul_vsub_vadd_mem c hp1.1 hp2.1 hp3.1, s2.smul_vsub_vadd_mem c hp1.2 hp2.2 hp3.2⟩
inf_le_left := fun _ _ => Set.inter_subset_left
inf_le_right := fun _ _ => Set.inter_subset_right
le_sInf := fun S s1 hs1 => by
-- Porting note: surely there is an easier way?
refine Set.subset_sInter (t := (s1 : Set P)) ?_
rintro t ⟨s, _hs, rfl⟩
exact Set.subset_iInter (hs1 s)
top :=
{ carrier := Set.univ
smul_vsub_vadd_mem := fun _ _ _ _ _ _ _ => Set.mem_univ _ }
le_top := fun _ _ _ => Set.mem_univ _
bot :=
{ carrier := ∅
smul_vsub_vadd_mem := fun _ _ _ _ => False.elim }
bot_le := fun _ _ => False.elim
sSup := fun s => affineSpan k (⋃ s' ∈ s, (s' : Set P))
sInf := fun s =>
mk (⋂ s' ∈ s, (s' : Set P)) fun c p1 p2 p3 hp1 hp2 hp3 =>
Set.mem_iInter₂.2 fun s2 hs2 => by
rw [Set.mem_iInter₂] at *
exact s2.smul_vsub_vadd_mem c (hp1 s2 hs2) (hp2 s2 hs2) (hp3 s2 hs2)
le_sSup := fun _ _ h => Set.Subset.trans (Set.subset_biUnion_of_mem h) (subset_spanPoints k _)
sSup_le := fun _ _ h => spanPoints_subset_coe_of_subset_coe (Set.iUnion₂_subset h)
sInf_le := fun _ _ => Set.biInter_subset_of_mem
le_inf := fun _ _ _ => Set.subset_inter }
instance : Inhabited (AffineSubspace k P) :=
⟨⊤⟩
theorem le_def (s1 s2 : AffineSubspace k P) : s1 ≤ s2 ↔ (s1 : Set P) ⊆ s2 :=
Iff.rfl
#align affine_subspace.le_def AffineSubspace.le_def
theorem le_def' (s1 s2 : AffineSubspace k P) : s1 ≤ s2 ↔ ∀ p ∈ s1, p ∈ s2 :=
Iff.rfl
#align affine_subspace.le_def' AffineSubspace.le_def'
theorem lt_def (s1 s2 : AffineSubspace k P) : s1 < s2 ↔ (s1 : Set P) ⊂ s2 :=
Iff.rfl
#align affine_subspace.lt_def AffineSubspace.lt_def
theorem not_le_iff_exists (s1 s2 : AffineSubspace k P) : ¬s1 ≤ s2 ↔ ∃ p ∈ s1, p ∉ s2 :=
Set.not_subset
#align affine_subspace.not_le_iff_exists AffineSubspace.not_le_iff_exists
theorem exists_of_lt {s1 s2 : AffineSubspace k P} (h : s1 < s2) : ∃ p ∈ s2, p ∉ s1 :=
Set.exists_of_ssubset h
#align affine_subspace.exists_of_lt AffineSubspace.exists_of_lt
theorem lt_iff_le_and_exists (s1 s2 : AffineSubspace k P) :
s1 < s2 ↔ s1 ≤ s2 ∧ ∃ p ∈ s2, p ∉ s1 := by
rw [lt_iff_le_not_le, not_le_iff_exists]
#align affine_subspace.lt_iff_le_and_exists AffineSubspace.lt_iff_le_and_exists
theorem eq_of_direction_eq_of_nonempty_of_le {s₁ s₂ : AffineSubspace k P}
(hd : s₁.direction = s₂.direction) (hn : (s₁ : Set P).Nonempty) (hle : s₁ ≤ s₂) : s₁ = s₂ :=
let ⟨p, hp⟩ := hn
ext_of_direction_eq hd ⟨p, hp, hle hp⟩
#align affine_subspace.eq_of_direction_eq_of_nonempty_of_le AffineSubspace.eq_of_direction_eq_of_nonempty_of_le
variable (k V)
theorem affineSpan_eq_sInf (s : Set P) :
affineSpan k s = sInf { s' : AffineSubspace k P | s ⊆ s' } :=
le_antisymm (spanPoints_subset_coe_of_subset_coe <| Set.subset_iInter₂ fun _ => id)
(sInf_le (subset_spanPoints k _))
#align affine_subspace.affine_span_eq_Inf AffineSubspace.affineSpan_eq_sInf
variable (P)
protected def gi : GaloisInsertion (affineSpan k) ((↑) : AffineSubspace k P → Set P) where
choice s _ := affineSpan k s
gc s1 _s2 :=
⟨fun h => Set.Subset.trans (subset_spanPoints k s1) h, spanPoints_subset_coe_of_subset_coe⟩
le_l_u _ := subset_spanPoints k _
choice_eq _ _ := rfl
#align affine_subspace.gi AffineSubspace.gi
@[simp]
theorem span_empty : affineSpan k (∅ : Set P) = ⊥ :=
(AffineSubspace.gi k V P).gc.l_bot
#align affine_subspace.span_empty AffineSubspace.span_empty
@[simp]
theorem span_univ : affineSpan k (Set.univ : Set P) = ⊤ :=
eq_top_iff.2 <| subset_spanPoints k _
#align affine_subspace.span_univ AffineSubspace.span_univ
variable {k V P}
theorem _root_.affineSpan_le {s : Set P} {Q : AffineSubspace k P} :
affineSpan k s ≤ Q ↔ s ⊆ (Q : Set P) :=
(AffineSubspace.gi k V P).gc _ _
#align affine_span_le affineSpan_le
variable (k V) {p₁ p₂ : P}
@[simp 1001] -- Porting note: this needs to take priority over `coe_affineSpan`
theorem coe_affineSpan_singleton (p : P) : (affineSpan k ({p} : Set P) : Set P) = {p} := by
ext x
rw [mem_coe, ← vsub_right_mem_direction_iff_mem (mem_affineSpan k (Set.mem_singleton p)) _,
direction_affineSpan]
simp
#align affine_subspace.coe_affine_span_singleton AffineSubspace.coe_affineSpan_singleton
@[simp]
theorem mem_affineSpan_singleton : p₁ ∈ affineSpan k ({p₂} : Set P) ↔ p₁ = p₂ := by
simp [← mem_coe]
#align affine_subspace.mem_affine_span_singleton AffineSubspace.mem_affineSpan_singleton
@[simp]
theorem preimage_coe_affineSpan_singleton (x : P) :
((↑) : affineSpan k ({x} : Set P) → P) ⁻¹' {x} = univ :=
eq_univ_of_forall fun y => (AffineSubspace.mem_affineSpan_singleton _ _).1 y.2
#align affine_subspace.preimage_coe_affine_span_singleton AffineSubspace.preimage_coe_affineSpan_singleton
theorem span_union (s t : Set P) : affineSpan k (s ∪ t) = affineSpan k s ⊔ affineSpan k t :=
(AffineSubspace.gi k V P).gc.l_sup
#align affine_subspace.span_union AffineSubspace.span_union
theorem span_iUnion {ι : Type*} (s : ι → Set P) :
affineSpan k (⋃ i, s i) = ⨆ i, affineSpan k (s i) :=
(AffineSubspace.gi k V P).gc.l_iSup
#align affine_subspace.span_Union AffineSubspace.span_iUnion
variable (P)
@[simp]
theorem top_coe : ((⊤ : AffineSubspace k P) : Set P) = Set.univ :=
rfl
#align affine_subspace.top_coe AffineSubspace.top_coe
variable {P}
@[simp]
theorem mem_top (p : P) : p ∈ (⊤ : AffineSubspace k P) :=
Set.mem_univ p
#align affine_subspace.mem_top AffineSubspace.mem_top
variable (P)
@[simp]
theorem direction_top : (⊤ : AffineSubspace k P).direction = ⊤ := by
cases' S.nonempty with p
ext v
refine ⟨imp_intro Submodule.mem_top, fun _hv => ?_⟩
have hpv : (v +ᵥ p -ᵥ p : V) ∈ (⊤ : AffineSubspace k P).direction :=
vsub_mem_direction (mem_top k V _) (mem_top k V _)
rwa [vadd_vsub] at hpv
#align affine_subspace.direction_top AffineSubspace.direction_top
@[simp]
theorem bot_coe : ((⊥ : AffineSubspace k P) : Set P) = ∅ :=
rfl
#align affine_subspace.bot_coe AffineSubspace.bot_coe
theorem bot_ne_top : (⊥ : AffineSubspace k P) ≠ ⊤ := by
intro contra
rw [← ext_iff, bot_coe, top_coe] at contra
exact Set.empty_ne_univ contra
#align affine_subspace.bot_ne_top AffineSubspace.bot_ne_top
instance : Nontrivial (AffineSubspace k P) :=
⟨⟨⊥, ⊤, bot_ne_top k V P⟩⟩
theorem nonempty_of_affineSpan_eq_top {s : Set P} (h : affineSpan k s = ⊤) : s.Nonempty := by
rw [Set.nonempty_iff_ne_empty]
rintro rfl
rw [AffineSubspace.span_empty] at h
exact bot_ne_top k V P h
#align affine_subspace.nonempty_of_affine_span_eq_top AffineSubspace.nonempty_of_affineSpan_eq_top
theorem vectorSpan_eq_top_of_affineSpan_eq_top {s : Set P} (h : affineSpan k s = ⊤) :
vectorSpan k s = ⊤ := by rw [← direction_affineSpan, h, direction_top]
#align affine_subspace.vector_span_eq_top_of_affine_span_eq_top AffineSubspace.vectorSpan_eq_top_of_affineSpan_eq_top
theorem affineSpan_eq_top_iff_vectorSpan_eq_top_of_nonempty {s : Set P} (hs : s.Nonempty) :
affineSpan k s = ⊤ ↔ vectorSpan k s = ⊤ := by
refine ⟨vectorSpan_eq_top_of_affineSpan_eq_top k V P, ?_⟩
intro h
suffices Nonempty (affineSpan k s) by
obtain ⟨p, hp : p ∈ affineSpan k s⟩ := this
rw [eq_iff_direction_eq_of_mem hp (mem_top k V p), direction_affineSpan, h, direction_top]
obtain ⟨x, hx⟩ := hs
exact ⟨⟨x, mem_affineSpan k hx⟩⟩
#align affine_subspace.affine_span_eq_top_iff_vector_span_eq_top_of_nonempty AffineSubspace.affineSpan_eq_top_iff_vectorSpan_eq_top_of_nonempty
theorem affineSpan_eq_top_iff_vectorSpan_eq_top_of_nontrivial {s : Set P} [Nontrivial P] :
affineSpan k s = ⊤ ↔ vectorSpan k s = ⊤ := by
rcases s.eq_empty_or_nonempty with hs | hs
· simp [hs, subsingleton_iff_bot_eq_top, AddTorsor.subsingleton_iff V P, not_subsingleton]
· rw [affineSpan_eq_top_iff_vectorSpan_eq_top_of_nonempty k V P hs]
#align affine_subspace.affine_span_eq_top_iff_vector_span_eq_top_of_nontrivial AffineSubspace.affineSpan_eq_top_iff_vectorSpan_eq_top_of_nontrivial
theorem card_pos_of_affineSpan_eq_top {ι : Type*} [Fintype ι] {p : ι → P}
(h : affineSpan k (range p) = ⊤) : 0 < Fintype.card ι := by
obtain ⟨-, ⟨i, -⟩⟩ := nonempty_of_affineSpan_eq_top k V P h
exact Fintype.card_pos_iff.mpr ⟨i⟩
#align affine_subspace.card_pos_of_affine_span_eq_top AffineSubspace.card_pos_of_affineSpan_eq_top
attribute [local instance] toAddTorsor
@[simps! linear apply symm_apply_coe]
def topEquiv : (⊤ : AffineSubspace k P) ≃ᵃ[k] P where
toEquiv := Equiv.Set.univ P
linear := .ofEq _ _ (direction_top _ _ _) ≪≫ₗ Submodule.topEquiv
map_vadd' _p _v := rfl
variable {P}
theorem not_mem_bot (p : P) : p ∉ (⊥ : AffineSubspace k P) :=
Set.not_mem_empty p
#align affine_subspace.not_mem_bot AffineSubspace.not_mem_bot
variable (P)
@[simp]
theorem direction_bot : (⊥ : AffineSubspace k P).direction = ⊥ := by
rw [direction_eq_vectorSpan, bot_coe, vectorSpan_def, vsub_empty, Submodule.span_empty]
#align affine_subspace.direction_bot AffineSubspace.direction_bot
variable {k V P}
@[simp]
theorem coe_eq_bot_iff (Q : AffineSubspace k P) : (Q : Set P) = ∅ ↔ Q = ⊥ :=
coe_injective.eq_iff' (bot_coe _ _ _)
#align affine_subspace.coe_eq_bot_iff AffineSubspace.coe_eq_bot_iff
@[simp]
theorem coe_eq_univ_iff (Q : AffineSubspace k P) : (Q : Set P) = univ ↔ Q = ⊤ :=
coe_injective.eq_iff' (top_coe _ _ _)
#align affine_subspace.coe_eq_univ_iff AffineSubspace.coe_eq_univ_iff
theorem nonempty_iff_ne_bot (Q : AffineSubspace k P) : (Q : Set P).Nonempty ↔ Q ≠ ⊥ := by
rw [nonempty_iff_ne_empty]
exact not_congr Q.coe_eq_bot_iff
#align affine_subspace.nonempty_iff_ne_bot AffineSubspace.nonempty_iff_ne_bot
theorem eq_bot_or_nonempty (Q : AffineSubspace k P) : Q = ⊥ ∨ (Q : Set P).Nonempty := by
rw [nonempty_iff_ne_bot]
apply eq_or_ne
#align affine_subspace.eq_bot_or_nonempty AffineSubspace.eq_bot_or_nonempty
theorem subsingleton_of_subsingleton_span_eq_top {s : Set P} (h₁ : s.Subsingleton)
(h₂ : affineSpan k s = ⊤) : Subsingleton P := by
obtain ⟨p, hp⟩ := AffineSubspace.nonempty_of_affineSpan_eq_top k V P h₂
have : s = {p} := Subset.antisymm (fun q hq => h₁ hq hp) (by simp [hp])
rw [this, ← AffineSubspace.ext_iff, AffineSubspace.coe_affineSpan_singleton,
AffineSubspace.top_coe, eq_comm, ← subsingleton_iff_singleton (mem_univ _)] at h₂
exact subsingleton_of_univ_subsingleton h₂
#align affine_subspace.subsingleton_of_subsingleton_span_eq_top AffineSubspace.subsingleton_of_subsingleton_span_eq_top
theorem eq_univ_of_subsingleton_span_eq_top {s : Set P} (h₁ : s.Subsingleton)
(h₂ : affineSpan k s = ⊤) : s = (univ : Set P) := by
obtain ⟨p, hp⟩ := AffineSubspace.nonempty_of_affineSpan_eq_top k V P h₂
have : s = {p} := Subset.antisymm (fun q hq => h₁ hq hp) (by simp [hp])
rw [this, eq_comm, ← subsingleton_iff_singleton (mem_univ p), subsingleton_univ_iff]
exact subsingleton_of_subsingleton_span_eq_top h₁ h₂
#align affine_subspace.eq_univ_of_subsingleton_span_eq_top AffineSubspace.eq_univ_of_subsingleton_span_eq_top
@[simp]
theorem direction_eq_top_iff_of_nonempty {s : AffineSubspace k P} (h : (s : Set P).Nonempty) :
s.direction = ⊤ ↔ s = ⊤ := by
constructor
· intro hd
rw [← direction_top k V P] at hd
refine ext_of_direction_eq hd ?_
simp [h]
· rintro rfl
simp
#align affine_subspace.direction_eq_top_iff_of_nonempty AffineSubspace.direction_eq_top_iff_of_nonempty
@[simp]
theorem inf_coe (s1 s2 : AffineSubspace k P) : (s1 ⊓ s2 : Set P) = (s1 : Set P) ∩ s2 :=
rfl
#align affine_subspace.inf_coe AffineSubspace.inf_coe
theorem mem_inf_iff (p : P) (s1 s2 : AffineSubspace k P) : p ∈ s1 ⊓ s2 ↔ p ∈ s1 ∧ p ∈ s2 :=
Iff.rfl
#align affine_subspace.mem_inf_iff AffineSubspace.mem_inf_iff
theorem direction_inf (s1 s2 : AffineSubspace k P) :
(s1 ⊓ s2).direction ≤ s1.direction ⊓ s2.direction := by
simp only [direction_eq_vectorSpan, vectorSpan_def]
exact
le_inf (sInf_le_sInf fun p hp => trans (vsub_self_mono inter_subset_left) hp)
(sInf_le_sInf fun p hp => trans (vsub_self_mono inter_subset_right) hp)
#align affine_subspace.direction_inf AffineSubspace.direction_inf
theorem direction_inf_of_mem {s₁ s₂ : AffineSubspace k P} {p : P} (h₁ : p ∈ s₁) (h₂ : p ∈ s₂) :
(s₁ ⊓ s₂).direction = s₁.direction ⊓ s₂.direction := by
ext v
rw [Submodule.mem_inf, ← vadd_mem_iff_mem_direction v h₁, ← vadd_mem_iff_mem_direction v h₂, ←
vadd_mem_iff_mem_direction v ((mem_inf_iff p s₁ s₂).2 ⟨h₁, h₂⟩), mem_inf_iff]
#align affine_subspace.direction_inf_of_mem AffineSubspace.direction_inf_of_mem
theorem direction_inf_of_mem_inf {s₁ s₂ : AffineSubspace k P} {p : P} (h : p ∈ s₁ ⊓ s₂) :
(s₁ ⊓ s₂).direction = s₁.direction ⊓ s₂.direction :=
direction_inf_of_mem ((mem_inf_iff p s₁ s₂).1 h).1 ((mem_inf_iff p s₁ s₂).1 h).2
#align affine_subspace.direction_inf_of_mem_inf AffineSubspace.direction_inf_of_mem_inf
theorem direction_le {s1 s2 : AffineSubspace k P} (h : s1 ≤ s2) : s1.direction ≤ s2.direction := by
simp only [direction_eq_vectorSpan, vectorSpan_def]
exact vectorSpan_mono k h
#align affine_subspace.direction_le AffineSubspace.direction_le
theorem direction_lt_of_nonempty {s1 s2 : AffineSubspace k P} (h : s1 < s2)
(hn : (s1 : Set P).Nonempty) : s1.direction < s2.direction := by
cases' hn with p hp
rw [lt_iff_le_and_exists] at h
rcases h with ⟨hle, p2, hp2, hp2s1⟩
rw [SetLike.lt_iff_le_and_exists]
use direction_le hle, p2 -ᵥ p, vsub_mem_direction hp2 (hle hp)
intro hm
rw [vsub_right_mem_direction_iff_mem hp p2] at hm
exact hp2s1 hm
#align affine_subspace.direction_lt_of_nonempty AffineSubspace.direction_lt_of_nonempty
theorem sup_direction_le (s1 s2 : AffineSubspace k P) :
s1.direction ⊔ s2.direction ≤ (s1 ⊔ s2).direction := by
simp only [direction_eq_vectorSpan, vectorSpan_def]
exact
sup_le
(sInf_le_sInf fun p hp => Set.Subset.trans (vsub_self_mono (le_sup_left : s1 ≤ s1 ⊔ s2)) hp)
(sInf_le_sInf fun p hp => Set.Subset.trans (vsub_self_mono (le_sup_right : s2 ≤ s1 ⊔ s2)) hp)
#align affine_subspace.sup_direction_le AffineSubspace.sup_direction_le
theorem sup_direction_lt_of_nonempty_of_inter_empty {s1 s2 : AffineSubspace k P}
(h1 : (s1 : Set P).Nonempty) (h2 : (s2 : Set P).Nonempty) (he : (s1 ∩ s2 : Set P) = ∅) :
s1.direction ⊔ s2.direction < (s1 ⊔ s2).direction := by
cases' h1 with p1 hp1
cases' h2 with p2 hp2
rw [SetLike.lt_iff_le_and_exists]
use sup_direction_le s1 s2, p2 -ᵥ p1,
vsub_mem_direction ((le_sup_right : s2 ≤ s1 ⊔ s2) hp2) ((le_sup_left : s1 ≤ s1 ⊔ s2) hp1)
intro h
rw [Submodule.mem_sup] at h
rcases h with ⟨v1, hv1, v2, hv2, hv1v2⟩
rw [← sub_eq_zero, sub_eq_add_neg, neg_vsub_eq_vsub_rev, add_comm v1, add_assoc, ←
vadd_vsub_assoc, ← neg_neg v2, add_comm, ← sub_eq_add_neg, ← vsub_vadd_eq_vsub_sub,
vsub_eq_zero_iff_eq] at hv1v2
refine Set.Nonempty.ne_empty ?_ he
use v1 +ᵥ p1, vadd_mem_of_mem_direction hv1 hp1
rw [hv1v2]
exact vadd_mem_of_mem_direction (Submodule.neg_mem _ hv2) hp2
#align affine_subspace.sup_direction_lt_of_nonempty_of_inter_empty AffineSubspace.sup_direction_lt_of_nonempty_of_inter_empty
| Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean | 992 | 999 | theorem inter_nonempty_of_nonempty_of_sup_direction_eq_top {s1 s2 : AffineSubspace k P}
(h1 : (s1 : Set P).Nonempty) (h2 : (s2 : Set P).Nonempty)
(hd : s1.direction ⊔ s2.direction = ⊤) : ((s1 : Set P) ∩ s2).Nonempty := by |
by_contra h
rw [Set.not_nonempty_iff_eq_empty] at h
have hlt := sup_direction_lt_of_nonempty_of_inter_empty h1 h2 h
rw [hd] at hlt
exact not_top_lt hlt
|
import Mathlib.Order.Filter.Cofinite
import Mathlib.Order.Hom.CompleteLattice
#align_import order.liminf_limsup from "leanprover-community/mathlib"@"ffde2d8a6e689149e44fd95fa862c23a57f8c780"
set_option autoImplicit true
open Filter Set Function
variable {α β γ ι ι' : Type*}
namespace Filter
theorem isCobounded_le_of_bot [Preorder α] [OrderBot α] {f : Filter α} : f.IsCobounded (· ≤ ·) :=
⟨⊥, fun _ _ => bot_le⟩
#align filter.is_cobounded_le_of_bot Filter.isCobounded_le_of_bot
theorem isCobounded_ge_of_top [Preorder α] [OrderTop α] {f : Filter α} : f.IsCobounded (· ≥ ·) :=
⟨⊤, fun _ _ => le_top⟩
#align filter.is_cobounded_ge_of_top Filter.isCobounded_ge_of_top
theorem isBounded_le_of_top [Preorder α] [OrderTop α] {f : Filter α} : f.IsBounded (· ≤ ·) :=
⟨⊤, eventually_of_forall fun _ => le_top⟩
#align filter.is_bounded_le_of_top Filter.isBounded_le_of_top
theorem isBounded_ge_of_bot [Preorder α] [OrderBot α] {f : Filter α} : f.IsBounded (· ≥ ·) :=
⟨⊥, eventually_of_forall fun _ => bot_le⟩
#align filter.is_bounded_ge_of_bot Filter.isBounded_ge_of_bot
@[simp]
theorem _root_.OrderIso.isBoundedUnder_le_comp [Preorder α] [Preorder β] (e : α ≃o β) {l : Filter γ}
{u : γ → α} : (IsBoundedUnder (· ≤ ·) l fun x => e (u x)) ↔ IsBoundedUnder (· ≤ ·) l u :=
(Function.Surjective.exists e.surjective).trans <|
exists_congr fun a => by simp only [eventually_map, e.le_iff_le]
#align order_iso.is_bounded_under_le_comp OrderIso.isBoundedUnder_le_comp
@[simp]
theorem _root_.OrderIso.isBoundedUnder_ge_comp [Preorder α] [Preorder β] (e : α ≃o β) {l : Filter γ}
{u : γ → α} : (IsBoundedUnder (· ≥ ·) l fun x => e (u x)) ↔ IsBoundedUnder (· ≥ ·) l u :=
OrderIso.isBoundedUnder_le_comp e.dual
#align order_iso.is_bounded_under_ge_comp OrderIso.isBoundedUnder_ge_comp
@[to_additive (attr := simp)]
theorem isBoundedUnder_le_inv [OrderedCommGroup α] {l : Filter β} {u : β → α} :
(IsBoundedUnder (· ≤ ·) l fun x => (u x)⁻¹) ↔ IsBoundedUnder (· ≥ ·) l u :=
(OrderIso.inv α).isBoundedUnder_ge_comp
#align filter.is_bounded_under_le_inv Filter.isBoundedUnder_le_inv
#align filter.is_bounded_under_le_neg Filter.isBoundedUnder_le_neg
@[to_additive (attr := simp)]
theorem isBoundedUnder_ge_inv [OrderedCommGroup α] {l : Filter β} {u : β → α} :
(IsBoundedUnder (· ≥ ·) l fun x => (u x)⁻¹) ↔ IsBoundedUnder (· ≤ ·) l u :=
(OrderIso.inv α).isBoundedUnder_le_comp
#align filter.is_bounded_under_ge_inv Filter.isBoundedUnder_ge_inv
#align filter.is_bounded_under_ge_neg Filter.isBoundedUnder_ge_neg
theorem IsBoundedUnder.sup [SemilatticeSup α] {f : Filter β} {u v : β → α} :
f.IsBoundedUnder (· ≤ ·) u →
f.IsBoundedUnder (· ≤ ·) v → f.IsBoundedUnder (· ≤ ·) fun a => u a ⊔ v a
| ⟨bu, (hu : ∀ᶠ x in f, u x ≤ bu)⟩, ⟨bv, (hv : ∀ᶠ x in f, v x ≤ bv)⟩ =>
⟨bu ⊔ bv, show ∀ᶠ x in f, u x ⊔ v x ≤ bu ⊔ bv
by filter_upwards [hu, hv] with _ using sup_le_sup⟩
#align filter.is_bounded_under.sup Filter.IsBoundedUnder.sup
@[simp]
theorem isBoundedUnder_le_sup [SemilatticeSup α] {f : Filter β} {u v : β → α} :
(f.IsBoundedUnder (· ≤ ·) fun a => u a ⊔ v a) ↔
f.IsBoundedUnder (· ≤ ·) u ∧ f.IsBoundedUnder (· ≤ ·) v :=
⟨fun h =>
⟨h.mono_le <| eventually_of_forall fun _ => le_sup_left,
h.mono_le <| eventually_of_forall fun _ => le_sup_right⟩,
fun h => h.1.sup h.2⟩
#align filter.is_bounded_under_le_sup Filter.isBoundedUnder_le_sup
theorem IsBoundedUnder.inf [SemilatticeInf α] {f : Filter β} {u v : β → α} :
f.IsBoundedUnder (· ≥ ·) u →
f.IsBoundedUnder (· ≥ ·) v → f.IsBoundedUnder (· ≥ ·) fun a => u a ⊓ v a :=
IsBoundedUnder.sup (α := αᵒᵈ)
#align filter.is_bounded_under.inf Filter.IsBoundedUnder.inf
@[simp]
theorem isBoundedUnder_ge_inf [SemilatticeInf α] {f : Filter β} {u v : β → α} :
(f.IsBoundedUnder (· ≥ ·) fun a => u a ⊓ v a) ↔
f.IsBoundedUnder (· ≥ ·) u ∧ f.IsBoundedUnder (· ≥ ·) v :=
isBoundedUnder_le_sup (α := αᵒᵈ)
#align filter.is_bounded_under_ge_inf Filter.isBoundedUnder_ge_inf
theorem isBoundedUnder_le_abs [LinearOrderedAddCommGroup α] {f : Filter β} {u : β → α} :
(f.IsBoundedUnder (· ≤ ·) fun a => |u a|) ↔
f.IsBoundedUnder (· ≤ ·) u ∧ f.IsBoundedUnder (· ≥ ·) u :=
isBoundedUnder_le_sup.trans <| and_congr Iff.rfl isBoundedUnder_le_neg
#align filter.is_bounded_under_le_abs Filter.isBoundedUnder_le_abs
macro "isBoundedDefault" : tactic =>
`(tactic| first
| apply isCobounded_le_of_bot
| apply isCobounded_ge_of_top
| apply isBounded_le_of_top
| apply isBounded_ge_of_bot)
-- Porting note: The above is a lean 4 reconstruction of (note that applyc is not available (yet?)):
-- unsafe def is_bounded_default : tactic Unit :=
-- tactic.applyc `` is_cobounded_le_of_bot <|>
-- tactic.applyc `` is_cobounded_ge_of_top <|>
-- tactic.applyc `` is_bounded_le_of_top <|> tactic.applyc `` is_bounded_ge_of_bot
-- #align filter.is_bounded_default filter.IsBounded_default
section ConditionallyCompleteLinearOrder
theorem frequently_lt_of_lt_limsSup {f : Filter α} [ConditionallyCompleteLinearOrder α] {a : α}
(hf : f.IsCobounded (· ≤ ·) := by isBoundedDefault)
(h : a < limsSup f) : ∃ᶠ n in f, a < n := by
contrapose! h
simp only [not_frequently, not_lt] at h
exact limsSup_le_of_le hf h
set_option linter.uppercaseLean3 false in
#align filter.frequently_lt_of_lt_Limsup Filter.frequently_lt_of_lt_limsSup
theorem frequently_lt_of_limsInf_lt {f : Filter α} [ConditionallyCompleteLinearOrder α] {a : α}
(hf : f.IsCobounded (· ≥ ·) := by isBoundedDefault)
(h : limsInf f < a) : ∃ᶠ n in f, n < a :=
frequently_lt_of_lt_limsSup (α := OrderDual α) hf h
set_option linter.uppercaseLean3 false in
#align filter.frequently_lt_of_Liminf_lt Filter.frequently_lt_of_limsInf_lt
| Mathlib/Order/LiminfLimsup.lean | 1,277 | 1,284 | theorem eventually_lt_of_lt_liminf {f : Filter α} [ConditionallyCompleteLinearOrder β] {u : α → β}
{b : β} (h : b < liminf u f)
(hu : f.IsBoundedUnder (· ≥ ·) u := by | isBoundedDefault) :
∀ᶠ a in f, b < u a := by
obtain ⟨c, hc, hbc⟩ : ∃ (c : β) (_ : c ∈ { c : β | ∀ᶠ n : α in f, c ≤ u n }), b < c := by
simp_rw [exists_prop]
exact exists_lt_of_lt_csSup hu h
exact hc.mono fun x hx => lt_of_lt_of_le hbc hx
|
import Mathlib.CategoryTheory.Monoidal.Free.Coherence
import Mathlib.CategoryTheory.Monoidal.Discrete
import Mathlib.CategoryTheory.Monoidal.NaturalTransformation
import Mathlib.CategoryTheory.Monoidal.Opposite
import Mathlib.Tactic.CategoryTheory.Coherence
import Mathlib.CategoryTheory.CommSq
#align_import category_theory.monoidal.braided from "leanprover-community/mathlib"@"2efd2423f8d25fa57cf7a179f5d8652ab4d0df44"
open CategoryTheory MonoidalCategory
universe v v₁ v₂ v₃ u u₁ u₂ u₃
namespace CategoryTheory
class BraidedCategory (C : Type u) [Category.{v} C] [MonoidalCategory.{v} C] where
braiding : ∀ X Y : C, X ⊗ Y ≅ Y ⊗ X
braiding_naturality_right :
∀ (X : C) {Y Z : C} (f : Y ⟶ Z),
X ◁ f ≫ (braiding X Z).hom = (braiding X Y).hom ≫ f ▷ X := by
aesop_cat
braiding_naturality_left :
∀ {X Y : C} (f : X ⟶ Y) (Z : C),
f ▷ Z ≫ (braiding Y Z).hom = (braiding X Z).hom ≫ Z ◁ f := by
aesop_cat
hexagon_forward :
∀ X Y Z : C,
(α_ X Y Z).hom ≫ (braiding X (Y ⊗ Z)).hom ≫ (α_ Y Z X).hom =
((braiding X Y).hom ▷ Z) ≫ (α_ Y X Z).hom ≫ (Y ◁ (braiding X Z).hom) := by
aesop_cat
hexagon_reverse :
∀ X Y Z : C,
(α_ X Y Z).inv ≫ (braiding (X ⊗ Y) Z).hom ≫ (α_ Z X Y).inv =
(X ◁ (braiding Y Z).hom) ≫ (α_ X Z Y).inv ≫ ((braiding X Z).hom ▷ Y) := by
aesop_cat
#align category_theory.braided_category CategoryTheory.BraidedCategory
attribute [reassoc (attr := simp)]
BraidedCategory.braiding_naturality_left
BraidedCategory.braiding_naturality_right
attribute [reassoc] BraidedCategory.hexagon_forward BraidedCategory.hexagon_reverse
open Category
open MonoidalCategory
open BraidedCategory
@[inherit_doc]
notation "β_" => BraidedCategory.braiding
def braidedCategoryOfFaithful {C D : Type*} [Category C] [Category D] [MonoidalCategory C]
[MonoidalCategory D] (F : MonoidalFunctor C D) [F.Faithful] [BraidedCategory D]
(β : ∀ X Y : C, X ⊗ Y ≅ Y ⊗ X)
(w : ∀ X Y, F.μ _ _ ≫ F.map (β X Y).hom = (β_ _ _).hom ≫ F.μ _ _) : BraidedCategory C where
braiding := β
braiding_naturality_left := by
intros
apply F.map_injective
refine (cancel_epi (F.μ ?_ ?_)).1 ?_
rw [Functor.map_comp, ← LaxMonoidalFunctor.μ_natural_left_assoc, w, Functor.map_comp,
reassoc_of% w, braiding_naturality_left_assoc, LaxMonoidalFunctor.μ_natural_right]
braiding_naturality_right := by
intros
apply F.map_injective
refine (cancel_epi (F.μ ?_ ?_)).1 ?_
rw [Functor.map_comp, ← LaxMonoidalFunctor.μ_natural_right_assoc, w, Functor.map_comp,
reassoc_of% w, braiding_naturality_right_assoc, LaxMonoidalFunctor.μ_natural_left]
hexagon_forward := by
intros
apply F.map_injective
refine (cancel_epi (F.μ _ _)).1 ?_
refine (cancel_epi (F.μ _ _ ▷ _)).1 ?_
rw [Functor.map_comp, Functor.map_comp, Functor.map_comp, Functor.map_comp, ←
LaxMonoidalFunctor.μ_natural_left_assoc, ← comp_whiskerRight_assoc, w,
comp_whiskerRight_assoc, LaxMonoidalFunctor.associativity_assoc,
LaxMonoidalFunctor.associativity_assoc, ← LaxMonoidalFunctor.μ_natural_right, ←
MonoidalCategory.whiskerLeft_comp_assoc, w, MonoidalCategory.whiskerLeft_comp_assoc,
reassoc_of% w, braiding_naturality_right_assoc,
LaxMonoidalFunctor.associativity, hexagon_forward_assoc]
hexagon_reverse := by
intros
apply F.toFunctor.map_injective
refine (cancel_epi (F.μ _ _)).1 ?_
refine (cancel_epi (_ ◁ F.μ _ _)).1 ?_
rw [Functor.map_comp, Functor.map_comp, Functor.map_comp, Functor.map_comp, ←
LaxMonoidalFunctor.μ_natural_right_assoc, ← MonoidalCategory.whiskerLeft_comp_assoc, w,
MonoidalCategory.whiskerLeft_comp_assoc, LaxMonoidalFunctor.associativity_inv_assoc,
LaxMonoidalFunctor.associativity_inv_assoc, ← LaxMonoidalFunctor.μ_natural_left,
← comp_whiskerRight_assoc, w, comp_whiskerRight_assoc, reassoc_of% w,
braiding_naturality_left_assoc, LaxMonoidalFunctor.associativity_inv, hexagon_reverse_assoc]
#align category_theory.braided_category_of_faithful CategoryTheory.braidedCategoryOfFaithful
noncomputable def braidedCategoryOfFullyFaithful {C D : Type*} [Category C] [Category D]
[MonoidalCategory C] [MonoidalCategory D] (F : MonoidalFunctor C D) [F.Full]
[F.Faithful] [BraidedCategory D] : BraidedCategory C :=
braidedCategoryOfFaithful F
(fun X Y => F.toFunctor.preimageIso
((asIso (F.μ _ _)).symm ≪≫ β_ (F.obj X) (F.obj Y) ≪≫ asIso (F.μ _ _)))
(by aesop_cat)
#align category_theory.braided_category_of_fully_faithful CategoryTheory.braidedCategoryOfFullyFaithful
section
variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory C] [BraidedCategory C]
theorem braiding_leftUnitor_aux₁ (X : C) :
(α_ (𝟙_ C) (𝟙_ C) X).hom ≫
(𝟙_ C ◁ (β_ X (𝟙_ C)).inv) ≫ (α_ _ X _).inv ≫ ((λ_ X).hom ▷ _) =
((λ_ _).hom ▷ X) ≫ (β_ X (𝟙_ C)).inv := by
coherence
#align category_theory.braiding_left_unitor_aux₁ CategoryTheory.braiding_leftUnitor_aux₁
theorem braiding_leftUnitor_aux₂ (X : C) :
((β_ X (𝟙_ C)).hom ▷ 𝟙_ C) ≫ ((λ_ X).hom ▷ 𝟙_ C) = (ρ_ X).hom ▷ 𝟙_ C :=
calc
((β_ X (𝟙_ C)).hom ▷ 𝟙_ C) ≫ ((λ_ X).hom ▷ 𝟙_ C) =
((β_ X (𝟙_ C)).hom ▷ 𝟙_ C) ≫ (α_ _ _ _).hom ≫ (α_ _ _ _).inv ≫ ((λ_ X).hom ▷ 𝟙_ C) := by
coherence
_ = ((β_ X (𝟙_ C)).hom ▷ 𝟙_ C) ≫ (α_ _ _ _).hom ≫ (_ ◁ (β_ X _).hom) ≫
(_ ◁ (β_ X _).inv) ≫ (α_ _ _ _).inv ≫ ((λ_ X).hom ▷ 𝟙_ C) := by
simp
_ = (α_ _ _ _).hom ≫ (β_ _ _).hom ≫ (α_ _ _ _).hom ≫ (_ ◁ (β_ X _).inv) ≫ (α_ _ _ _).inv ≫
((λ_ X).hom ▷ 𝟙_ C) := by
(slice_lhs 1 3 => rw [← hexagon_forward]); simp only [assoc]
_ = (α_ _ _ _).hom ≫ (β_ _ _).hom ≫ ((λ_ _).hom ▷ X) ≫ (β_ X _).inv := by
rw [braiding_leftUnitor_aux₁]
_ = (α_ _ _ _).hom ≫ (_ ◁ (λ_ _).hom) ≫ (β_ _ _).hom ≫ (β_ X _).inv := by
(slice_lhs 2 3 => rw [← braiding_naturality_right]); simp only [assoc]
_ = (α_ _ _ _).hom ≫ (_ ◁ (λ_ _).hom) := by rw [Iso.hom_inv_id, comp_id]
_ = (ρ_ X).hom ▷ 𝟙_ C := by rw [triangle]
#align category_theory.braiding_left_unitor_aux₂ CategoryTheory.braiding_leftUnitor_aux₂
@[reassoc]
theorem braiding_leftUnitor (X : C) : (β_ X (𝟙_ C)).hom ≫ (λ_ X).hom = (ρ_ X).hom := by
rw [← whiskerRight_iff, comp_whiskerRight, braiding_leftUnitor_aux₂]
#align category_theory.braiding_left_unitor CategoryTheory.braiding_leftUnitor
theorem braiding_rightUnitor_aux₁ (X : C) :
(α_ X (𝟙_ C) (𝟙_ C)).inv ≫
((β_ (𝟙_ C) X).inv ▷ 𝟙_ C) ≫ (α_ _ X _).hom ≫ (_ ◁ (ρ_ X).hom) =
(X ◁ (ρ_ _).hom) ≫ (β_ (𝟙_ C) X).inv := by
coherence
#align category_theory.braiding_right_unitor_aux₁ CategoryTheory.braiding_rightUnitor_aux₁
theorem braiding_rightUnitor_aux₂ (X : C) :
(𝟙_ C ◁ (β_ (𝟙_ C) X).hom) ≫ (𝟙_ C ◁ (ρ_ X).hom) = 𝟙_ C ◁ (λ_ X).hom :=
calc
(𝟙_ C ◁ (β_ (𝟙_ C) X).hom) ≫ (𝟙_ C ◁ (ρ_ X).hom) =
(𝟙_ C ◁ (β_ (𝟙_ C) X).hom) ≫ (α_ _ _ _).inv ≫ (α_ _ _ _).hom ≫ (𝟙_ C ◁ (ρ_ X).hom) := by
coherence
_ = (𝟙_ C ◁ (β_ (𝟙_ C) X).hom) ≫ (α_ _ _ _).inv ≫ ((β_ _ X).hom ▷ _) ≫
((β_ _ X).inv ▷ _) ≫ (α_ _ _ _).hom ≫ (𝟙_ C ◁ (ρ_ X).hom) := by
simp
_ = (α_ _ _ _).inv ≫ (β_ _ _).hom ≫ (α_ _ _ _).inv ≫ ((β_ _ X).inv ▷ _) ≫ (α_ _ _ _).hom ≫
(𝟙_ C ◁ (ρ_ X).hom) := by
(slice_lhs 1 3 => rw [← hexagon_reverse]); simp only [assoc]
_ = (α_ _ _ _).inv ≫ (β_ _ _).hom ≫ (X ◁ (ρ_ _).hom) ≫ (β_ _ X).inv := by
rw [braiding_rightUnitor_aux₁]
_ = (α_ _ _ _).inv ≫ ((ρ_ _).hom ▷ _) ≫ (β_ _ X).hom ≫ (β_ _ _).inv := by
(slice_lhs 2 3 => rw [← braiding_naturality_left]); simp only [assoc]
_ = (α_ _ _ _).inv ≫ ((ρ_ _).hom ▷ _) := by rw [Iso.hom_inv_id, comp_id]
_ = 𝟙_ C ◁ (λ_ X).hom := by rw [triangle_assoc_comp_right]
#align category_theory.braiding_right_unitor_aux₂ CategoryTheory.braiding_rightUnitor_aux₂
@[reassoc]
theorem braiding_rightUnitor (X : C) : (β_ (𝟙_ C) X).hom ≫ (ρ_ X).hom = (λ_ X).hom := by
rw [← whiskerLeft_iff, MonoidalCategory.whiskerLeft_comp, braiding_rightUnitor_aux₂]
#align category_theory.braiding_right_unitor CategoryTheory.braiding_rightUnitor
@[reassoc, simp]
theorem braiding_tensorUnit_left (X : C) : (β_ (𝟙_ C) X).hom = (λ_ X).hom ≫ (ρ_ X).inv := by
simp [← braiding_rightUnitor]
@[reassoc, simp]
theorem braiding_inv_tensorUnit_left (X : C) : (β_ (𝟙_ C) X).inv = (ρ_ X).hom ≫ (λ_ X).inv := by
rw [Iso.inv_ext]
rw [braiding_tensorUnit_left]
coherence
@[reassoc]
| Mathlib/CategoryTheory/Monoidal/Braided/Basic.lean | 342 | 343 | theorem leftUnitor_inv_braiding (X : C) : (λ_ X).inv ≫ (β_ (𝟙_ C) X).hom = (ρ_ X).inv := by |
simp
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.