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import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Data.Complex.Cardinality
import Mathlib.Data.Fin.VecNotation
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import data.complex.module from "leanprover-community/mathlib"@"c7bce2818663f456335892ddbdd1809f111a5b72"
namespace Complex
open ComplexConjugate
open scoped SMul
variable {R : Type*} {S : Type*}
attribute [local ext] Complex.ext
-- Test that the `SMul ℚ ℂ` instance is correct.
example : (Complex.SMul.instSMulRealComplex : SMul ℚ ℂ) = (Algebra.toSMul : SMul ℚ ℂ) := rfl
-- priority manually adjusted in #11980
instance (priority := 90) [SMul R ℝ] [SMul S ℝ] [SMulCommClass R S ℝ] : SMulCommClass R S ℂ where
smul_comm r s x := by ext <;> simp [smul_re, smul_im, smul_comm]
-- priority manually adjusted in #11980
instance (priority := 90) [SMul R S] [SMul R ℝ] [SMul S ℝ] [IsScalarTower R S ℝ] :
IsScalarTower R S ℂ where
smul_assoc r s x := by ext <;> simp [smul_re, smul_im, smul_assoc]
-- priority manually adjusted in #11980
instance (priority := 90) [SMul R ℝ] [SMul Rᵐᵒᵖ ℝ] [IsCentralScalar R ℝ] :
IsCentralScalar R ℂ where
op_smul_eq_smul r x := by ext <;> simp [smul_re, smul_im, op_smul_eq_smul]
-- priority manually adjusted in #11980
instance (priority := 90) mulAction [Monoid R] [MulAction R ℝ] : MulAction R ℂ where
one_smul x := by ext <;> simp [smul_re, smul_im, one_smul]
mul_smul r s x := by ext <;> simp [smul_re, smul_im, mul_smul]
-- priority manually adjusted in #11980
instance (priority := 90) distribSMul [DistribSMul R ℝ] : DistribSMul R ℂ where
smul_add r x y := by ext <;> simp [smul_re, smul_im, smul_add]
smul_zero r := by ext <;> simp [smul_re, smul_im, smul_zero]
-- priority manually adjusted in #11980
instance (priority := 90) [Semiring R] [DistribMulAction R ℝ] : DistribMulAction R ℂ :=
{ Complex.distribSMul, Complex.mulAction with }
-- priority manually adjusted in #11980
instance (priority := 100) instModule [Semiring R] [Module R ℝ] : Module R ℂ where
add_smul r s x := by ext <;> simp [smul_re, smul_im, add_smul]
zero_smul r := by ext <;> simp [smul_re, smul_im, zero_smul]
-- priority manually adjusted in #11980
instance (priority := 95) instAlgebraOfReal [CommSemiring R] [Algebra R ℝ] : Algebra R ℂ :=
{ Complex.ofReal.comp (algebraMap R ℝ) with
smul := (· • ·)
smul_def' := fun r x => by ext <;> simp [smul_re, smul_im, Algebra.smul_def]
commutes' := fun r ⟨xr, xi⟩ => by ext <;> simp [smul_re, smul_im, Algebra.commutes] }
instance : StarModule ℝ ℂ :=
⟨fun r x => by simp only [star_def, star_trivial, real_smul, map_mul, conj_ofReal]⟩
@[simp]
theorem coe_algebraMap : (algebraMap ℝ ℂ : ℝ → ℂ) = ((↑) : ℝ → ℂ) :=
rfl
#align complex.coe_algebra_map Complex.coe_algebraMap
section
variable {A : Type*} [Semiring A] [Algebra ℝ A]
@[simp]
theorem _root_.AlgHom.map_coe_real_complex (f : ℂ →ₐ[ℝ] A) (x : ℝ) : f x = algebraMap ℝ A x :=
f.commutes x
#align alg_hom.map_coe_real_complex AlgHom.map_coe_real_complex
@[ext]
theorem algHom_ext ⦃f g : ℂ →ₐ[ℝ] A⦄ (h : f I = g I) : f = g := by
ext ⟨x, y⟩
simp only [mk_eq_add_mul_I, AlgHom.map_add, AlgHom.map_coe_real_complex, AlgHom.map_mul, h]
#align complex.alg_hom_ext Complex.algHom_ext
end
open Submodule FiniteDimensional
noncomputable def basisOneI : Basis (Fin 2) ℝ ℂ :=
Basis.ofEquivFun
{ toFun := fun z => ![z.re, z.im]
invFun := fun c => c 0 + c 1 • I
left_inv := fun z => by simp
right_inv := fun c => by
ext i
fin_cases i <;> simp
map_add' := fun z z' => by simp
map_smul' := fun c z => by simp }
set_option linter.uppercaseLean3 false in
#align complex.basis_one_I Complex.basisOneI
@[simp]
theorem coe_basisOneI_repr (z : ℂ) : ⇑(basisOneI.repr z) = ![z.re, z.im] :=
rfl
set_option linter.uppercaseLean3 false in
#align complex.coe_basis_one_I_repr Complex.coe_basisOneI_repr
@[simp]
theorem coe_basisOneI : ⇑basisOneI = ![1, I] :=
funext fun i =>
Basis.apply_eq_iff.mpr <|
Finsupp.ext fun j => by
fin_cases i <;> fin_cases j <;>
-- Porting note: removed `only`, consider squeezing again
simp [coe_basisOneI_repr, Finsupp.single_eq_of_ne, Matrix.cons_val_zero,
Matrix.cons_val_one, Matrix.head_cons, Fin.one_eq_zero_iff, Ne, not_false_iff, I_re,
Nat.succ_succ_ne_one, one_im, I_im, one_re, Finsupp.single_eq_same, Fin.zero_eq_one_iff]
set_option linter.uppercaseLean3 false in
#align complex.coe_basis_one_I Complex.coe_basisOneI
instance : FiniteDimensional ℝ ℂ :=
of_fintype_basis basisOneI
@[simp]
| Mathlib/Data/Complex/Module.lean | 171 | 172 | theorem finrank_real_complex : FiniteDimensional.finrank ℝ ℂ = 2 := by |
rw [finrank_eq_card_basis basisOneI, Fintype.card_fin]
|
import Mathlib.CategoryTheory.Subobject.Limits
#align_import algebra.homology.image_to_kernel from "leanprover-community/mathlib"@"618ea3d5c99240cd7000d8376924906a148bf9ff"
universe v u w
open CategoryTheory CategoryTheory.Limits
variable {ι : Type*}
variable {V : Type u} [Category.{v} V] [HasZeroMorphisms V]
open scoped Classical
noncomputable section
section
variable {A B C : V} (f : A ⟶ B) [HasImage f] (g : B ⟶ C) [HasKernel g]
theorem image_le_kernel (w : f ≫ g = 0) : imageSubobject f ≤ kernelSubobject g :=
imageSubobject_le_mk _ _ (kernel.lift _ _ w) (by simp)
#align image_le_kernel image_le_kernel
def imageToKernel (w : f ≫ g = 0) : (imageSubobject f : V) ⟶ (kernelSubobject g : V) :=
Subobject.ofLE _ _ (image_le_kernel _ _ w)
#align image_to_kernel imageToKernel
instance (w : f ≫ g = 0) : Mono (imageToKernel f g w) := by
dsimp only [imageToKernel]
infer_instance
@[simp]
theorem subobject_ofLE_as_imageToKernel (w : f ≫ g = 0) (h) :
Subobject.ofLE (imageSubobject f) (kernelSubobject g) h = imageToKernel f g w :=
rfl
#align subobject_of_le_as_image_to_kernel subobject_ofLE_as_imageToKernel
attribute [local instance] ConcreteCategory.instFunLike
-- Porting note: removed elementwise attribute which does not seem to be helpful here
-- a more suitable lemma is added below
@[reassoc (attr := simp)]
theorem imageToKernel_arrow (w : f ≫ g = 0) :
imageToKernel f g w ≫ (kernelSubobject g).arrow = (imageSubobject f).arrow := by
simp [imageToKernel]
#align image_to_kernel_arrow imageToKernel_arrow
@[simp]
lemma imageToKernel_arrow_apply [ConcreteCategory V] (w : f ≫ g = 0)
(x : (forget V).obj (Subobject.underlying.obj (imageSubobject f))) :
(kernelSubobject g).arrow (imageToKernel f g w x) =
(imageSubobject f).arrow x := by
rw [← comp_apply, imageToKernel_arrow]
-- This is less useful as a `simp` lemma than it initially appears,
-- as it "loses" the information the morphism factors through the image.
theorem factorThruImageSubobject_comp_imageToKernel (w : f ≫ g = 0) :
factorThruImageSubobject f ≫ imageToKernel f g w = factorThruKernelSubobject g f w := by
ext
simp
#align factor_thru_image_subobject_comp_image_to_kernel factorThruImageSubobject_comp_imageToKernel
end
section
variable {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
@[simp]
theorem imageToKernel_zero_left [HasKernels V] [HasZeroObject V] {w} :
imageToKernel (0 : A ⟶ B) g w = 0 := by
ext
simp
#align image_to_kernel_zero_left imageToKernel_zero_left
theorem imageToKernel_zero_right [HasImages V] {w} :
imageToKernel f (0 : B ⟶ C) w =
(imageSubobject f).arrow ≫ inv (kernelSubobject (0 : B ⟶ C)).arrow := by
ext
simp
#align image_to_kernel_zero_right imageToKernel_zero_right
section
variable [HasKernels V] [HasImages V]
| Mathlib/Algebra/Homology/ImageToKernel.lean | 112 | 116 | theorem imageToKernel_comp_right {D : V} (h : C ⟶ D) (w : f ≫ g = 0) :
imageToKernel f (g ≫ h) (by simp [reassoc_of% w]) =
imageToKernel f g w ≫ Subobject.ofLE _ _ (kernelSubobject_comp_le g h) := by |
ext
simp
|
import Mathlib.Algebra.Group.ConjFinite
import Mathlib.GroupTheory.Perm.Fin
import Mathlib.GroupTheory.Subgroup.Simple
import Mathlib.Tactic.IntervalCases
#align_import group_theory.specific_groups.alternating from "leanprover-community/mathlib"@"0f6670b8af2dff699de1c0b4b49039b31bc13c46"
-- An example on how to determine the order of an element of a finite group.
example : orderOf (-1 : ℤˣ) = 2 :=
orderOf_eq_prime (Int.units_sq _) (by decide)
open Equiv Equiv.Perm Subgroup Fintype
variable (α : Type*) [Fintype α] [DecidableEq α]
def alternatingGroup : Subgroup (Perm α) :=
sign.ker
#align alternating_group alternatingGroup
-- Porting note (#10754): manually added instance
instance fta : Fintype (alternatingGroup α) :=
@Subtype.fintype _ _ sign.decidableMemKer _
instance [Subsingleton α] : Unique (alternatingGroup α) :=
⟨⟨1⟩, fun ⟨p, _⟩ => Subtype.eq (Subsingleton.elim p _)⟩
variable {α}
theorem alternatingGroup_eq_sign_ker : alternatingGroup α = sign.ker :=
rfl
#align alternating_group_eq_sign_ker alternatingGroup_eq_sign_ker
theorem two_mul_card_alternatingGroup [Nontrivial α] :
2 * card (alternatingGroup α) = card (Perm α) := by
let this := (QuotientGroup.quotientKerEquivOfSurjective _ (sign_surjective α)).toEquiv
rw [← Fintype.card_units_int, ← Fintype.card_congr this]
simp only [← Nat.card_eq_fintype_card]
apply (Subgroup.card_eq_card_quotient_mul_card_subgroup _).symm
#align two_mul_card_alternating_group two_mul_card_alternatingGroup
namespace alternatingGroup
open Equiv.Perm
| Mathlib/GroupTheory/SpecificGroups/Alternating.lean | 219 | 224 | theorem nontrivial_of_three_le_card (h3 : 3 ≤ card α) : Nontrivial (alternatingGroup α) := by |
haveI := Fintype.one_lt_card_iff_nontrivial.1 (lt_trans (by decide) h3)
rw [← Fintype.one_lt_card_iff_nontrivial]
refine lt_of_mul_lt_mul_left ?_ (le_of_lt Nat.prime_two.pos)
rw [two_mul_card_alternatingGroup, card_perm, ← Nat.succ_le_iff]
exact le_trans h3 (card α).self_le_factorial
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap
import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.MeasureTheory.Constructions.Polish
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn
#align_import measure_theory.function.jacobian from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5"
open MeasureTheory MeasureTheory.Measure Metric Filter Set FiniteDimensional Asymptotics
TopologicalSpace
open scoped NNReal ENNReal Topology Pointwise
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] {s : Set E} {f : E → E} {f' : E → E →L[ℝ] E}
theorem exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F]
(f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x)
(r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F),
(∀ n, IsClosed (t n)) ∧
(s ⊆ ⋃ n, t n) ∧
(∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by
-- exclude the trivial case where `s` is empty
rcases eq_empty_or_nonempty s with (rfl | hs)
· refine ⟨fun _ => ∅, fun _ => 0, ?_, ?_, ?_, ?_⟩ <;> simp
-- we will use countably many linear maps. Select these from all the derivatives since the
-- space of linear maps is second-countable
obtain ⟨T, T_count, hT⟩ :
∃ T : Set s,
T.Countable ∧ ⋃ x ∈ T, ball (f' (x : E)) (r (f' x)) = ⋃ x : s, ball (f' x) (r (f' x)) :=
TopologicalSpace.isOpen_iUnion_countable _ fun x => isOpen_ball
-- fix a sequence `u` of positive reals tending to zero.
obtain ⟨u, _, u_pos, u_lim⟩ :
∃ u : ℕ → ℝ, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
exists_seq_strictAnti_tendsto (0 : ℝ)
-- `M n z` is the set of points `x` such that `f y - f x` is close to `f' z (y - x)` for `y`
-- in the ball of radius `u n` around `x`.
let M : ℕ → T → Set E := fun n z =>
{x | x ∈ s ∧ ∀ y ∈ s ∩ ball x (u n), ‖f y - f x - f' z (y - x)‖ ≤ r (f' z) * ‖y - x‖}
-- As `f` is differentiable everywhere on `s`, the sets `M n z` cover `s` by design.
have s_subset : ∀ x ∈ s, ∃ (n : ℕ) (z : T), x ∈ M n z := by
intro x xs
obtain ⟨z, zT, hz⟩ : ∃ z ∈ T, f' x ∈ ball (f' (z : E)) (r (f' z)) := by
have : f' x ∈ ⋃ z ∈ T, ball (f' (z : E)) (r (f' z)) := by
rw [hT]
refine mem_iUnion.2 ⟨⟨x, xs⟩, ?_⟩
simpa only [mem_ball, Subtype.coe_mk, dist_self] using (rpos (f' x)).bot_lt
rwa [mem_iUnion₂, bex_def] at this
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ ‖f' x - f' z‖ + ε ≤ r (f' z) := by
refine ⟨r (f' z) - ‖f' x - f' z‖, ?_, le_of_eq (by abel)⟩
simpa only [sub_pos] using mem_ball_iff_norm.mp hz
obtain ⟨δ, δpos, hδ⟩ :
∃ (δ : ℝ), 0 < δ ∧ ball x δ ∩ s ⊆ {y | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} :=
Metric.mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos)
obtain ⟨n, hn⟩ : ∃ n, u n < δ := ((tendsto_order.1 u_lim).2 _ δpos).exists
refine ⟨n, ⟨z, zT⟩, ⟨xs, ?_⟩⟩
intro y hy
calc
‖f y - f x - (f' z) (y - x)‖ = ‖f y - f x - (f' x) (y - x) + (f' x - f' z) (y - x)‖ := by
congr 1
simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply]
abel
_ ≤ ‖f y - f x - (f' x) (y - x)‖ + ‖(f' x - f' z) (y - x)‖ := norm_add_le _ _
_ ≤ ε * ‖y - x‖ + ‖f' x - f' z‖ * ‖y - x‖ := by
refine add_le_add (hδ ?_) (ContinuousLinearMap.le_opNorm _ _)
rw [inter_comm]
exact inter_subset_inter_right _ (ball_subset_ball hn.le) hy
_ ≤ r (f' z) * ‖y - x‖ := by
rw [← add_mul, add_comm]
gcongr
-- the sets `M n z` are relatively closed in `s`, as all the conditions defining it are clearly
-- closed
have closure_M_subset : ∀ n z, s ∩ closure (M n z) ⊆ M n z := by
rintro n z x ⟨xs, hx⟩
refine ⟨xs, fun y hy => ?_⟩
obtain ⟨a, aM, a_lim⟩ : ∃ a : ℕ → E, (∀ k, a k ∈ M n z) ∧ Tendsto a atTop (𝓝 x) :=
mem_closure_iff_seq_limit.1 hx
have L1 :
Tendsto (fun k : ℕ => ‖f y - f (a k) - (f' z) (y - a k)‖) atTop
(𝓝 ‖f y - f x - (f' z) (y - x)‖) := by
apply Tendsto.norm
have L : Tendsto (fun k => f (a k)) atTop (𝓝 (f x)) := by
apply (hf' x xs).continuousWithinAt.tendsto.comp
apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ a_lim
exact eventually_of_forall fun k => (aM k).1
apply Tendsto.sub (tendsto_const_nhds.sub L)
exact ((f' z).continuous.tendsto _).comp (tendsto_const_nhds.sub a_lim)
have L2 : Tendsto (fun k : ℕ => (r (f' z) : ℝ) * ‖y - a k‖) atTop (𝓝 (r (f' z) * ‖y - x‖)) :=
(tendsto_const_nhds.sub a_lim).norm.const_mul _
have I : ∀ᶠ k in atTop, ‖f y - f (a k) - (f' z) (y - a k)‖ ≤ r (f' z) * ‖y - a k‖ := by
have L : Tendsto (fun k => dist y (a k)) atTop (𝓝 (dist y x)) :=
tendsto_const_nhds.dist a_lim
filter_upwards [(tendsto_order.1 L).2 _ hy.2]
intro k hk
exact (aM k).2 y ⟨hy.1, hk⟩
exact le_of_tendsto_of_tendsto L1 L2 I
-- choose a dense sequence `d p`
rcases TopologicalSpace.exists_dense_seq E with ⟨d, hd⟩
-- split `M n z` into subsets `K n z p` of small diameters by intersecting with the ball
-- `closedBall (d p) (u n / 3)`.
let K : ℕ → T → ℕ → Set E := fun n z p => closure (M n z) ∩ closedBall (d p) (u n / 3)
-- on the sets `K n z p`, the map `f` is well approximated by `f' z` by design.
have K_approx : ∀ (n) (z : T) (p), ApproximatesLinearOn f (f' z) (s ∩ K n z p) (r (f' z)) := by
intro n z p x hx y hy
have yM : y ∈ M n z := closure_M_subset _ _ ⟨hy.1, hy.2.1⟩
refine yM.2 _ ⟨hx.1, ?_⟩
calc
dist x y ≤ dist x (d p) + dist y (d p) := dist_triangle_right _ _ _
_ ≤ u n / 3 + u n / 3 := add_le_add hx.2.2 hy.2.2
_ < u n := by linarith [u_pos n]
-- the sets `K n z p` are also closed, again by design.
have K_closed : ∀ (n) (z : T) (p), IsClosed (K n z p) := fun n z p =>
isClosed_closure.inter isClosed_ball
-- reindex the sets `K n z p`, to let them only depend on an integer parameter `q`.
obtain ⟨F, hF⟩ : ∃ F : ℕ → ℕ × T × ℕ, Function.Surjective F := by
haveI : Encodable T := T_count.toEncodable
have : Nonempty T := by
rcases hs with ⟨x, xs⟩
rcases s_subset x xs with ⟨n, z, _⟩
exact ⟨z⟩
inhabit ↥T
exact ⟨_, Encodable.surjective_decode_iget (ℕ × T × ℕ)⟩
-- these sets `t q = K n z p` will do
refine
⟨fun q => K (F q).1 (F q).2.1 (F q).2.2, fun q => f' (F q).2.1, fun n => K_closed _ _ _,
fun x xs => ?_, fun q => K_approx _ _ _, fun _ q => ⟨(F q).2.1, (F q).2.1.1.2, rfl⟩⟩
-- the only fact that needs further checking is that they cover `s`.
-- we already know that any point `x ∈ s` belongs to a set `M n z`.
obtain ⟨n, z, hnz⟩ : ∃ (n : ℕ) (z : T), x ∈ M n z := s_subset x xs
-- by density, it also belongs to a ball `closedBall (d p) (u n / 3)`.
obtain ⟨p, hp⟩ : ∃ p : ℕ, x ∈ closedBall (d p) (u n / 3) := by
have : Set.Nonempty (ball x (u n / 3)) := by simp only [nonempty_ball]; linarith [u_pos n]
obtain ⟨p, hp⟩ : ∃ p : ℕ, d p ∈ ball x (u n / 3) := hd.exists_mem_open isOpen_ball this
exact ⟨p, (mem_ball'.1 hp).le⟩
-- choose `q` for which `t q = K n z p`.
obtain ⟨q, hq⟩ : ∃ q, F q = (n, z, p) := hF _
-- then `x` belongs to `t q`.
apply mem_iUnion.2 ⟨q, _⟩
simp (config := { zeta := false }) only [K, hq, mem_inter_iff, hp, and_true]
exact subset_closure hnz
#align exists_closed_cover_approximates_linear_on_of_has_fderiv_within_at exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt
variable [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ]
theorem exists_partition_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F]
(f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x)
(r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F),
Pairwise (Disjoint on t) ∧
(∀ n, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n, t n) ∧
(∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by
rcases exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' r rpos with
⟨t, A, t_closed, st, t_approx, ht⟩
refine
⟨disjointed t, A, disjoint_disjointed _,
MeasurableSet.disjointed fun n => (t_closed n).measurableSet, ?_, ?_, ht⟩
· rw [iUnion_disjointed]; exact st
· intro n; exact (t_approx n).mono_set (inter_subset_inter_right _ (disjointed_subset _ _))
#align exists_partition_approximates_linear_on_of_has_fderiv_within_at exists_partition_approximatesLinearOn_of_hasFDerivWithinAt
namespace MeasureTheory
theorem addHaar_image_le_mul_of_det_lt (A : E →L[ℝ] E) {m : ℝ≥0}
(hm : ENNReal.ofReal |A.det| < m) :
∀ᶠ δ in 𝓝[>] (0 : ℝ≥0),
∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → μ (f '' s) ≤ m * μ s := by
apply nhdsWithin_le_nhds
let d := ENNReal.ofReal |A.det|
-- construct a small neighborhood of `A '' (closedBall 0 1)` with measure comparable to
-- the determinant of `A`.
obtain ⟨ε, hε, εpos⟩ :
∃ ε : ℝ, μ (closedBall 0 ε + A '' closedBall 0 1) < m * μ (closedBall 0 1) ∧ 0 < ε := by
have HC : IsCompact (A '' closedBall 0 1) :=
(ProperSpace.isCompact_closedBall _ _).image A.continuous
have L0 :
Tendsto (fun ε => μ (cthickening ε (A '' closedBall 0 1))) (𝓝[>] 0)
(𝓝 (μ (A '' closedBall 0 1))) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
exact tendsto_measure_cthickening_of_isCompact HC
have L1 :
Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0)
(𝓝 (μ (A '' closedBall 0 1))) := by
apply L0.congr' _
filter_upwards [self_mem_nhdsWithin] with r hr
rw [← HC.add_closedBall_zero (le_of_lt hr), add_comm]
have L2 :
Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0)
(𝓝 (d * μ (closedBall 0 1))) := by
convert L1
exact (addHaar_image_continuousLinearMap _ _ _).symm
have I : d * μ (closedBall 0 1) < m * μ (closedBall 0 1) :=
(ENNReal.mul_lt_mul_right (measure_closedBall_pos μ _ zero_lt_one).ne'
measure_closedBall_lt_top.ne).2
hm
have H :
∀ᶠ b : ℝ in 𝓝[>] 0, μ (closedBall 0 b + A '' closedBall 0 1) < m * μ (closedBall 0 1) :=
(tendsto_order.1 L2).2 _ I
exact (H.and self_mem_nhdsWithin).exists
have : Iio (⟨ε, εpos.le⟩ : ℝ≥0) ∈ 𝓝 (0 : ℝ≥0) := by apply Iio_mem_nhds; exact εpos
filter_upwards [this]
-- fix a function `f` which is close enough to `A`.
intro δ hδ s f hf
simp only [mem_Iio, ← NNReal.coe_lt_coe, NNReal.coe_mk] at hδ
-- This function expands the volume of any ball by at most `m`
have I : ∀ x r, x ∈ s → 0 ≤ r → μ (f '' (s ∩ closedBall x r)) ≤ m * μ (closedBall x r) := by
intro x r xs r0
have K : f '' (s ∩ closedBall x r) ⊆ A '' closedBall 0 r + closedBall (f x) (ε * r) := by
rintro y ⟨z, ⟨zs, zr⟩, rfl⟩
rw [mem_closedBall_iff_norm] at zr
apply Set.mem_add.2 ⟨A (z - x), _, f z - f x - A (z - x) + f x, _, _⟩
· apply mem_image_of_mem
simpa only [dist_eq_norm, mem_closedBall, mem_closedBall_zero_iff, sub_zero] using zr
· rw [mem_closedBall_iff_norm, add_sub_cancel_right]
calc
‖f z - f x - A (z - x)‖ ≤ δ * ‖z - x‖ := hf _ zs _ xs
_ ≤ ε * r := by gcongr
· simp only [map_sub, Pi.sub_apply]
abel
have :
A '' closedBall 0 r + closedBall (f x) (ε * r) =
{f x} + r • (A '' closedBall 0 1 + closedBall 0 ε) := by
rw [smul_add, ← add_assoc, add_comm {f x}, add_assoc, smul_closedBall _ _ εpos.le, smul_zero,
singleton_add_closedBall_zero, ← image_smul_set ℝ E E A, smul_closedBall _ _ zero_le_one,
smul_zero, Real.norm_eq_abs, abs_of_nonneg r0, mul_one, mul_comm]
rw [this] at K
calc
μ (f '' (s ∩ closedBall x r)) ≤ μ ({f x} + r • (A '' closedBall 0 1 + closedBall 0 ε)) :=
measure_mono K
_ = ENNReal.ofReal (r ^ finrank ℝ E) * μ (A '' closedBall 0 1 + closedBall 0 ε) := by
simp only [abs_of_nonneg r0, addHaar_smul, image_add_left, abs_pow, singleton_add,
measure_preimage_add]
_ ≤ ENNReal.ofReal (r ^ finrank ℝ E) * (m * μ (closedBall 0 1)) := by
rw [add_comm]; gcongr
_ = m * μ (closedBall x r) := by simp only [addHaar_closedBall' μ _ r0]; ring
-- covering `s` by closed balls with total measure very close to `μ s`, one deduces that the
-- measure of `f '' s` is at most `m * (μ s + a)` for any positive `a`.
have J : ∀ᶠ a in 𝓝[>] (0 : ℝ≥0∞), μ (f '' s) ≤ m * (μ s + a) := by
filter_upwards [self_mem_nhdsWithin] with a ha
rw [mem_Ioi] at ha
obtain ⟨t, r, t_count, ts, rpos, st, μt⟩ :
∃ (t : Set E) (r : E → ℝ),
t.Countable ∧
t ⊆ s ∧
(∀ x : E, x ∈ t → 0 < r x) ∧
(s ⊆ ⋃ x ∈ t, closedBall x (r x)) ∧
(∑' x : ↥t, μ (closedBall (↑x) (r ↑x))) ≤ μ s + a :=
Besicovitch.exists_closedBall_covering_tsum_measure_le μ ha.ne' (fun _ => Ioi 0) s
fun x _ δ δpos => ⟨δ / 2, by simp [half_pos δpos, δpos]⟩
haveI : Encodable t := t_count.toEncodable
calc
μ (f '' s) ≤ μ (⋃ x : t, f '' (s ∩ closedBall x (r x))) := by
rw [biUnion_eq_iUnion] at st
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset _ (subset_inter (Subset.refl _) st)
_ ≤ ∑' x : t, μ (f '' (s ∩ closedBall x (r x))) := measure_iUnion_le _
_ ≤ ∑' x : t, m * μ (closedBall x (r x)) :=
(ENNReal.tsum_le_tsum fun x => I x (r x) (ts x.2) (rpos x x.2).le)
_ ≤ m * (μ s + a) := by rw [ENNReal.tsum_mul_left]; gcongr
-- taking the limit in `a`, one obtains the conclusion
have L : Tendsto (fun a => (m : ℝ≥0∞) * (μ s + a)) (𝓝[>] 0) (𝓝 (m * (μ s + 0))) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
apply ENNReal.Tendsto.const_mul (tendsto_const_nhds.add tendsto_id)
simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff]
rw [add_zero] at L
exact ge_of_tendsto L J
#align measure_theory.add_haar_image_le_mul_of_det_lt MeasureTheory.addHaar_image_le_mul_of_det_lt
theorem mul_le_addHaar_image_of_lt_det (A : E →L[ℝ] E) {m : ℝ≥0}
(hm : (m : ℝ≥0∞) < ENNReal.ofReal |A.det|) :
∀ᶠ δ in 𝓝[>] (0 : ℝ≥0),
∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → (m : ℝ≥0∞) * μ s ≤ μ (f '' s) := by
apply nhdsWithin_le_nhds
-- The assumption `hm` implies that `A` is invertible. If `f` is close enough to `A`, it is also
-- invertible. One can then pass to the inverses, and deduce the estimate from
-- `addHaar_image_le_mul_of_det_lt` applied to `f⁻¹` and `A⁻¹`.
-- exclude first the trivial case where `m = 0`.
rcases eq_or_lt_of_le (zero_le m) with (rfl | mpos)
· filter_upwards
simp only [forall_const, zero_mul, imp_true_iff, zero_le, ENNReal.coe_zero]
have hA : A.det ≠ 0 := by
intro h; simp only [h, ENNReal.not_lt_zero, ENNReal.ofReal_zero, abs_zero] at hm
-- let `B` be the continuous linear equiv version of `A`.
let B := A.toContinuousLinearEquivOfDetNeZero hA
-- the determinant of `B.symm` is bounded by `m⁻¹`
have I : ENNReal.ofReal |(B.symm : E →L[ℝ] E).det| < (m⁻¹ : ℝ≥0) := by
simp only [ENNReal.ofReal, abs_inv, Real.toNNReal_inv, ContinuousLinearEquiv.det_coe_symm,
ContinuousLinearMap.coe_toContinuousLinearEquivOfDetNeZero, ENNReal.coe_lt_coe] at hm ⊢
exact NNReal.inv_lt_inv mpos.ne' hm
-- therefore, we may apply `addHaar_image_le_mul_of_det_lt` to `B.symm` and `m⁻¹`.
obtain ⟨δ₀, δ₀pos, hδ₀⟩ :
∃ δ : ℝ≥0,
0 < δ ∧
∀ (t : Set E) (g : E → E),
ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t := by
have :
∀ᶠ δ : ℝ≥0 in 𝓝[>] 0,
∀ (t : Set E) (g : E → E),
ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t :=
addHaar_image_le_mul_of_det_lt μ B.symm I
rcases (this.and self_mem_nhdsWithin).exists with ⟨δ₀, h, h'⟩
exact ⟨δ₀, h', h⟩
-- record smallness conditions for `δ` that will be needed to apply `hδ₀` below.
have L1 : ∀ᶠ δ in 𝓝 (0 : ℝ≥0), Subsingleton E ∨ δ < ‖(B.symm : E →L[ℝ] E)‖₊⁻¹ := by
by_cases h : Subsingleton E
· simp only [h, true_or_iff, eventually_const]
simp only [h, false_or_iff]
apply Iio_mem_nhds
simpa only [h, false_or_iff, inv_pos] using B.subsingleton_or_nnnorm_symm_pos
have L2 :
∀ᶠ δ in 𝓝 (0 : ℝ≥0), ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ < δ₀ := by
have :
Tendsto (fun δ => ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ) (𝓝 0)
(𝓝 (‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - 0)⁻¹ * 0)) := by
rcases eq_or_ne ‖(B.symm : E →L[ℝ] E)‖₊ 0 with (H | H)
· simpa only [H, zero_mul] using tendsto_const_nhds
refine Tendsto.mul (tendsto_const_nhds.mul ?_) tendsto_id
refine (Tendsto.sub tendsto_const_nhds tendsto_id).inv₀ ?_
simpa only [tsub_zero, inv_eq_zero, Ne] using H
simp only [mul_zero] at this
exact (tendsto_order.1 this).2 δ₀ δ₀pos
-- let `δ` be small enough, and `f` approximated by `B` up to `δ`.
filter_upwards [L1, L2]
intro δ h1δ h2δ s f hf
have hf' : ApproximatesLinearOn f (B : E →L[ℝ] E) s δ := by convert hf
let F := hf'.toPartialEquiv h1δ
-- the condition to be checked can be reformulated in terms of the inverse maps
suffices H : μ (F.symm '' F.target) ≤ (m⁻¹ : ℝ≥0) * μ F.target by
change (m : ℝ≥0∞) * μ F.source ≤ μ F.target
rwa [← F.symm_image_target_eq_source, mul_comm, ← ENNReal.le_div_iff_mul_le, div_eq_mul_inv,
mul_comm, ← ENNReal.coe_inv mpos.ne']
· apply Or.inl
simpa only [ENNReal.coe_eq_zero, Ne] using mpos.ne'
· simp only [ENNReal.coe_ne_top, true_or_iff, Ne, not_false_iff]
-- as `f⁻¹` is well approximated by `B⁻¹`, the conclusion follows from `hδ₀`
-- and our choice of `δ`.
exact hδ₀ _ _ ((hf'.to_inv h1δ).mono_num h2δ.le)
#align measure_theory.mul_le_add_haar_image_of_lt_det MeasureTheory.mul_le_addHaar_image_of_lt_det
theorem _root_.ApproximatesLinearOn.norm_fderiv_sub_le {A : E →L[ℝ] E} {δ : ℝ≥0}
(hf : ApproximatesLinearOn f A s δ) (hs : MeasurableSet s) (f' : E → E →L[ℝ] E)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) : ∀ᵐ x ∂μ.restrict s, ‖f' x - A‖₊ ≤ δ := by
filter_upwards [Besicovitch.ae_tendsto_measure_inter_div μ s, ae_restrict_mem hs]
-- start from a Lebesgue density point `x`, belonging to `s`.
intro x hx xs
-- consider an arbitrary vector `z`.
apply ContinuousLinearMap.opNorm_le_bound _ δ.2 fun z => ?_
-- to show that `‖(f' x - A) z‖ ≤ δ ‖z‖`, it suffices to do it up to some error that vanishes
-- asymptotically in terms of `ε > 0`.
suffices H : ∀ ε, 0 < ε → ‖(f' x - A) z‖ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε by
have :
Tendsto (fun ε : ℝ => ((δ : ℝ) + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε) (𝓝[>] 0)
(𝓝 ((δ + 0) * (‖z‖ + 0) + ‖f' x - A‖ * 0)) :=
Tendsto.mono_left (Continuous.tendsto (by continuity) 0) nhdsWithin_le_nhds
simp only [add_zero, mul_zero] at this
apply le_of_tendsto_of_tendsto tendsto_const_nhds this
filter_upwards [self_mem_nhdsWithin]
exact H
-- fix a positive `ε`.
intro ε εpos
-- for small enough `r`, the rescaled ball `r • closedBall z ε` intersects `s`, as `x` is a
-- density point
have B₁ : ∀ᶠ r in 𝓝[>] (0 : ℝ), (s ∩ ({x} + r • closedBall z ε)).Nonempty :=
eventually_nonempty_inter_smul_of_density_one μ s x hx _ measurableSet_closedBall
(measure_closedBall_pos μ z εpos).ne'
obtain ⟨ρ, ρpos, hρ⟩ :
∃ ρ > 0, ball x ρ ∩ s ⊆ {y : E | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} :=
mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos)
-- for small enough `r`, the rescaled ball `r • closedBall z ε` is included in the set where
-- `f y - f x` is well approximated by `f' x (y - x)`.
have B₂ : ∀ᶠ r in 𝓝[>] (0 : ℝ), {x} + r • closedBall z ε ⊆ ball x ρ := by
apply nhdsWithin_le_nhds
exact eventually_singleton_add_smul_subset isBounded_closedBall (ball_mem_nhds x ρpos)
-- fix a small positive `r` satisfying the above properties, as well as a corresponding `y`.
obtain ⟨r, ⟨y, ⟨ys, hy⟩⟩, rρ, rpos⟩ :
∃ r : ℝ,
(s ∩ ({x} + r • closedBall z ε)).Nonempty ∧ {x} + r • closedBall z ε ⊆ ball x ρ ∧ 0 < r :=
(B₁.and (B₂.and self_mem_nhdsWithin)).exists
-- write `y = x + r a` with `a ∈ closedBall z ε`.
obtain ⟨a, az, ya⟩ : ∃ a, a ∈ closedBall z ε ∧ y = x + r • a := by
simp only [mem_smul_set, image_add_left, mem_preimage, singleton_add] at hy
rcases hy with ⟨a, az, ha⟩
exact ⟨a, az, by simp only [ha, add_neg_cancel_left]⟩
have norm_a : ‖a‖ ≤ ‖z‖ + ε :=
calc
‖a‖ = ‖z + (a - z)‖ := by simp only [add_sub_cancel]
_ ≤ ‖z‖ + ‖a - z‖ := norm_add_le _ _
_ ≤ ‖z‖ + ε := add_le_add_left (mem_closedBall_iff_norm.1 az) _
-- use the approximation properties to control `(f' x - A) a`, and then `(f' x - A) z` as `z` is
-- close to `a`.
have I : r * ‖(f' x - A) a‖ ≤ r * (δ + ε) * (‖z‖ + ε) :=
calc
r * ‖(f' x - A) a‖ = ‖(f' x - A) (r • a)‖ := by
simp only [ContinuousLinearMap.map_smul, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le]
_ = ‖f y - f x - A (y - x) - (f y - f x - (f' x) (y - x))‖ := by
congr 1
simp only [ya, add_sub_cancel_left, sub_sub_sub_cancel_left, ContinuousLinearMap.coe_sub',
eq_self_iff_true, sub_left_inj, Pi.sub_apply, ContinuousLinearMap.map_smul, smul_sub]
_ ≤ ‖f y - f x - A (y - x)‖ + ‖f y - f x - (f' x) (y - x)‖ := norm_sub_le _ _
_ ≤ δ * ‖y - x‖ + ε * ‖y - x‖ := (add_le_add (hf _ ys _ xs) (hρ ⟨rρ hy, ys⟩))
_ = r * (δ + ε) * ‖a‖ := by
simp only [ya, add_sub_cancel_left, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le]
ring
_ ≤ r * (δ + ε) * (‖z‖ + ε) := by gcongr
calc
‖(f' x - A) z‖ = ‖(f' x - A) a + (f' x - A) (z - a)‖ := by
congr 1
simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply]
abel
_ ≤ ‖(f' x - A) a‖ + ‖(f' x - A) (z - a)‖ := norm_add_le _ _
_ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ‖z - a‖ := by
apply add_le_add
· rw [mul_assoc] at I; exact (mul_le_mul_left rpos).1 I
· apply ContinuousLinearMap.le_opNorm
_ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε := by
rw [mem_closedBall_iff_norm'] at az
gcongr
#align approximates_linear_on.norm_fderiv_sub_le ApproximatesLinearOn.norm_fderiv_sub_le
| Mathlib/MeasureTheory/Function/Jacobian.lean | 559 | 595 | theorem addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero (hf : DifferentiableOn ℝ f s)
(hs : μ s = 0) : μ (f '' s) = 0 := by |
refine le_antisymm ?_ (zero_le _)
have :
∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧
∀ (t : Set E), ApproximatesLinearOn f A t δ →
μ (f '' t) ≤ (Real.toNNReal |A.det| + 1 : ℝ≥0) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + 1
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, zero_lt_one, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩
exact ⟨δ, h', fun t ht => h t f ht⟩
choose δ hδ using this
obtain ⟨t, A, _, _, t_cover, ht, -⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = fderivWithin ℝ f s y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s (fderivWithin ℝ f s)
(fun x xs => (hf x xs).hasFDerivWithinAt) δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset f (subset_inter Subset.rfl t_cover)
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (Real.toNNReal |(A n).det| + 1 : ℝ≥0) * μ (s ∩ t n) := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply (hδ (A n)).2
exact ht n
_ ≤ ∑' n, ((Real.toNNReal |(A n).det| + 1 : ℝ≥0) : ℝ≥0∞) * 0 := by
refine ENNReal.tsum_le_tsum fun n => mul_le_mul_left' ?_ _
exact le_trans (measure_mono inter_subset_left) (le_of_eq hs)
_ = 0 := by simp only [tsum_zero, mul_zero]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
#align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior
theorem compl_frontier_eq_union_interior :
(frontier s)ᶜ = interior s ∪ interior sᶜ := by
rw [frontier_eq_inter_compl_interior]
simp only [compl_inter, compl_compl]
#align compl_frontier_eq_union_interior compl_frontier_eq_union_interior
theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by
simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and]
#align nhds_def' nhds_def'
theorem nhds_basis_opens (x : X) :
(𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by
rw [nhds_def]
exact hasBasis_biInf_principal
(fun s ⟨has, hs⟩ t ⟨hat, ht⟩ =>
⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩)
⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩
#align nhds_basis_opens nhds_basis_opens
theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl :=
⟨fun t => (nhds_basis_opens x).mem_iff.trans <|
compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩
#align nhds_basis_closeds nhds_basis_closeds
@[simp]
theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x :=
(nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right
theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) :=
lift'_nhds_interior x ▸ h.lift'_interior
theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def]
#align le_nhds_iff le_nhds_iff
theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by
rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf
#align nhds_le_of_le nhds_le_of_le
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t :=
(nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ =>
⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩
#align mem_nhds_iff mem_nhds_iffₓ
theorem eventually_nhds_iff {p : X → Prop} :
(∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t :=
mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq]
#align eventually_nhds_iff eventually_nhds_iff
theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x :=
mem_interior.trans mem_nhds_iff.symm
#align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds
theorem map_nhds {f : X → α} :
map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) :=
((nhds_basis_opens x).map f).eq_biInf
#align map_nhds map_nhds
theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H =>
let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs
#align mem_of_mem_nhds mem_of_mem_nhds
theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x :=
mem_of_mem_nhds h
#align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds
theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x :=
mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩
#align is_open.mem_nhds IsOpen.mem_nhds
protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s :=
⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩
#align is_open.mem_nhds_iff IsOpen.mem_nhds_iff
theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x :=
hs.isOpen_compl.mem_nhds (mem_compl hx)
#align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds
theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) :
∀ᶠ x in 𝓝 x, x ∈ s :=
IsOpen.mem_nhds hs hx
#align is_open.eventually_mem IsOpen.eventually_mem
theorem nhds_basis_opens' (x : X) :
(𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by
convert nhds_basis_opens x using 2
exact and_congr_left_iff.2 IsOpen.mem_nhds_iff
#align nhds_basis_opens' nhds_basis_opens'
theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩
#align exists_open_set_nhds exists_open_set_nhds
theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
exists_open_set_nhds (by simpa using h)
#align exists_open_set_nhds' exists_open_set_nhds'
theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) :
∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x :=
let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h
eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩
#align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds
@[simp]
theorem eventually_eventually_nhds {p : X → Prop} :
(∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x :=
⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩
#align eventually_eventually_nhds eventually_eventually_nhds
@[simp]
theorem frequently_frequently_nhds {p : X → Prop} :
(∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by
rw [← not_iff_not]
simp only [not_frequently, eventually_eventually_nhds]
#align frequently_frequently_nhds frequently_frequently_nhds
@[simp]
theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x :=
eventually_eventually_nhds
#align eventually_mem_nhds eventually_mem_nhds
@[simp]
theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x :=
Filter.ext fun _ => eventually_eventually_nhds
#align nhds_bind_nhds nhds_bind_nhds
@[simp]
theorem eventually_eventuallyEq_nhds {f g : X → α} :
(∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds
theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x :=
h.self_of_nhds
#align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds
@[simp]
theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} :
(∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_le_nhds eventually_eventuallyLE_nhds
theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds
theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds
theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s :=
((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp]
#align all_mem_nhds all_mem_nhds
theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l :=
all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt)
#align all_mem_nhds_filter all_mem_nhds_filter
theorem tendsto_nhds {f : α → X} {l : Filter α} :
Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l :=
all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _
#align tendsto_nhds tendsto_nhds
theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} :
Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U :=
(atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by
simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le]
#align tendsto_at_top_nhds tendsto_atTop_nhds
theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) :=
tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha
#align tendsto_const_nhds tendsto_const_nhds
theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const
theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const
theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs
#align pure_le_nhds pure_le_nhds
theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) :=
(tendsto_pure_pure f a).mono_right (pure_le_nhds _)
#align tendsto_pure_nhds tendsto_pure_nhds
theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) :
Tendsto f atTop (𝓝 (f ⊤)) :=
(tendsto_atTop_pure f).mono_right (pure_le_nhds _)
#align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds
@[simp]
instance nhds_neBot : NeBot (𝓝 x) :=
neBot_of_le (pure_le_nhds x)
#align nhds_ne_bot nhds_neBot
theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) :
Tendsto f l (𝓝 x) :=
tendsto_const_nhds.congr' (.symm h)
theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) :
Tendsto f l (𝓝 x) :=
tendsto_nhds_of_eventually_eq hf
theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) :=
h
#align cluster_pt.ne_bot ClusterPt.neBot
theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop}
{sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) :
ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty :=
hX.inf_basis_neBot_iff hF
#align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff
theorem clusterPt_iff {F : Filter X} :
ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty :=
inf_neBot_iff
#align cluster_pt_iff clusterPt_iff
theorem clusterPt_iff_not_disjoint {F : Filter X} :
ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by
rw [disjoint_iff, ClusterPt, neBot_iff]
theorem clusterPt_principal_iff :
ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty :=
inf_principal_neBot_iff
#align cluster_pt_principal_iff clusterPt_principal_iff
theorem clusterPt_principal_iff_frequently :
ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by
simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff]
#align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently
theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by
rwa [ClusterPt, inf_eq_right.mpr H]
#align cluster_pt.of_le_nhds ClusterPt.of_le_nhds
theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) :
ClusterPt x f :=
ClusterPt.of_le_nhds H
#align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds'
theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by
simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot]
#align cluster_pt.of_nhds_le ClusterPt.of_nhds_le
theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g :=
NeBot.mono H <| inf_le_inf_left _ h
#align cluster_pt.mono ClusterPt.mono
theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f :=
H.mono inf_le_left
#align cluster_pt.of_inf_left ClusterPt.of_inf_left
theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) :
ClusterPt x g :=
H.mono inf_le_right
#align cluster_pt.of_inf_right ClusterPt.of_inf_right
theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x :=
⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩
#align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff
theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔
∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by
simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl
theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by
simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map]
rfl
#align map_cluster_pt_iff mapClusterPt_iff
theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by
simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap,
← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β}
{u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl
theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β}
{u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) :
MapClusterPt x F u := by
have :=
calc
map (u ∘ φ) p = map u (map φ p) := map_map
_ ≤ map u F := map_mono h
have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this
exact neBot_of_le this
#align map_cluster_pt_of_comp mapClusterPt_of_comp
theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by
rw [AccPt, nhdsWithin, ClusterPt, inf_assoc]
#align acc_iff_cluster acc_iff_cluster
theorem acc_principal_iff_cluster (x : X) (C : Set X) :
AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by
rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq]
#align acc_principal_iff_cluster acc_principal_iff_cluster
theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc,
@and_comm (¬_ = x)]
#align acc_pt_iff_nhds accPt_iff_nhds
theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm]
#align acc_pt_iff_frequently accPt_iff_frequently
theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G :=
NeBot.mono h (inf_le_inf_left _ hFG)
#align acc_pt.mono AccPt.mono
theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } :=
Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq]
#align interior_eq_nhds' interior_eq_nhds'
theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } :=
interior_eq_nhds'.trans <| by simp only [le_principal_iff]
#align interior_eq_nhds interior_eq_nhds
@[simp]
theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x :=
⟨fun h => mem_of_superset h interior_subset, fun h =>
IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩
#align interior_mem_nhds interior_mem_nhds
theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } :=
interior_eq_nhds'
#align interior_set_of_eq interior_setOf_eq
theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by
simp only [← interior_setOf_eq, isOpen_interior]
#align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds
theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by
simp_rw [subset_def, mem_interior_iff_mem_nhds]
#align subset_interior_iff_nhds subset_interior_iff_nhds
theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s :=
calc
IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm
_ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf]
#align is_open_iff_nhds isOpen_iff_nhds
theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} :
t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x :=
⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩
alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds
theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x :=
isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff
#align is_open_iff_mem_nhds isOpen_iff_mem_nhds
theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s :=
isOpen_iff_mem_nhds
#align is_open_iff_eventually isOpen_iff_eventually
theorem isOpen_iff_ultrafilter :
IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by
simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter]
#align is_open_iff_ultrafilter isOpen_iff_ultrafilter
theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by
constructor
· intro h
apply le_antisymm _ (pure_le_nhds x)
rw [le_pure_iff]
exact h.mem_nhds (mem_singleton x)
· intro h
simp [isOpen_iff_nhds, h]
#align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure
theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by
rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff,
nhds_neBot.le_pure_iff]
#align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds
theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by
rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds,
closure_eq_compl_interior_compl, mem_compl_iff, compl_def]
#align mem_closure_iff_frequently mem_closure_iff_frequently
alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently
#align filter.frequently.mem_closure Filter.Frequently.mem_closure
theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by
rw [← closure_subset_iff_isClosed]
refine forall_congr' fun x => ?_
rw [mem_closure_iff_frequently]
#align is_closed_iff_frequently isClosed_iff_frequently
theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by
simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or]
refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2
exacts [isOpen_setOf_eventually_nhds, isOpen_const]
#align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt
theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) :=
mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm
#align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt
theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ :=
mem_closure_iff_clusterPt.trans neBot_iff
#align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot
@[deprecated (since := "2024-01-28")]
alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot
theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) :=
mem_closure_iff_clusterPt
#align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot
lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by
rw [mem_closure_iff_nhdsWithin_neBot, not_neBot]
| Mathlib/Topology/Basic.lean | 1,256 | 1,260 | theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by |
intro y
rcases eq_or_ne y x with (rfl | hne)
· rwa [mem_closure_iff_nhdsWithin_neBot]
· exact subset_closure hne
|
import Mathlib.RingTheory.Valuation.Basic
import Mathlib.NumberTheory.Padics.PadicNorm
import Mathlib.Analysis.Normed.Field.Basic
#align_import number_theory.padics.padic_numbers from "leanprover-community/mathlib"@"b9b2114f7711fec1c1e055d507f082f8ceb2c3b7"
noncomputable section
open scoped Classical
open Nat multiplicity padicNorm CauSeq CauSeq.Completion Metric
abbrev PadicSeq (p : ℕ) :=
CauSeq _ (padicNorm p)
#align padic_seq PadicSeq
namespace PadicSeq
section
variable {p : ℕ} [Fact p.Prime]
theorem stationary {f : CauSeq ℚ (padicNorm p)} (hf : ¬f ≈ 0) :
∃ N, ∀ m n, N ≤ m → N ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
have : ∃ ε > 0, ∃ N1, ∀ j ≥ N1, ε ≤ padicNorm p (f j) :=
CauSeq.abv_pos_of_not_limZero <| not_limZero_of_not_congr_zero hf
let ⟨ε, hε, N1, hN1⟩ := this
let ⟨N2, hN2⟩ := CauSeq.cauchy₂ f hε
⟨max N1 N2, fun n m hn hm ↦ by
have : padicNorm p (f n - f m) < ε := hN2 _ (max_le_iff.1 hn).2 _ (max_le_iff.1 hm).2
have : padicNorm p (f n - f m) < padicNorm p (f n) :=
lt_of_lt_of_le this <| hN1 _ (max_le_iff.1 hn).1
have : padicNorm p (f n - f m) < max (padicNorm p (f n)) (padicNorm p (f m)) :=
lt_max_iff.2 (Or.inl this)
by_contra hne
rw [← padicNorm.neg (f m)] at hne
have hnam := add_eq_max_of_ne hne
rw [padicNorm.neg, max_comm] at hnam
rw [← hnam, sub_eq_add_neg, add_comm] at this
apply _root_.lt_irrefl _ this⟩
#align padic_seq.stationary PadicSeq.stationary
def stationaryPoint {f : PadicSeq p} (hf : ¬f ≈ 0) : ℕ :=
Classical.choose <| stationary hf
#align padic_seq.stationary_point PadicSeq.stationaryPoint
theorem stationaryPoint_spec {f : PadicSeq p} (hf : ¬f ≈ 0) :
∀ {m n},
stationaryPoint hf ≤ m → stationaryPoint hf ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
@(Classical.choose_spec <| stationary hf)
#align padic_seq.stationary_point_spec PadicSeq.stationaryPoint_spec
def norm (f : PadicSeq p) : ℚ :=
if hf : f ≈ 0 then 0 else padicNorm p (f (stationaryPoint hf))
#align padic_seq.norm PadicSeq.norm
theorem norm_zero_iff (f : PadicSeq p) : f.norm = 0 ↔ f ≈ 0 := by
constructor
· intro h
by_contra hf
unfold norm at h
split_ifs at h
· contradiction
apply hf
intro ε hε
exists stationaryPoint hf
intro j hj
have heq := stationaryPoint_spec hf le_rfl hj
simpa [h, heq]
· intro h
simp [norm, h]
#align padic_seq.norm_zero_iff PadicSeq.norm_zero_iff
end
section Valuation
open CauSeq
variable {p : ℕ} [Fact p.Prime]
def valuation (f : PadicSeq p) : ℤ :=
if hf : f ≈ 0 then 0 else padicValRat p (f (stationaryPoint hf))
#align padic_seq.valuation PadicSeq.valuation
| Mathlib/NumberTheory/Padics/PadicNumbers.lean | 223 | 231 | theorem norm_eq_pow_val {f : PadicSeq p} (hf : ¬f ≈ 0) : f.norm = (p : ℚ) ^ (-f.valuation : ℤ) := by |
rw [norm, valuation, dif_neg hf, dif_neg hf, padicNorm, if_neg]
intro H
apply CauSeq.not_limZero_of_not_congr_zero hf
intro ε hε
use stationaryPoint hf
intro n hn
rw [stationaryPoint_spec hf le_rfl hn]
simpa [H] using hε
|
import Batteries.Tactic.SeqFocus
namespace Ordering
@[simp] theorem swap_swap {o : Ordering} : o.swap.swap = o := by cases o <;> rfl
@[simp] theorem swap_inj {o₁ o₂ : Ordering} : o₁.swap = o₂.swap ↔ o₁ = o₂ :=
⟨fun h => by simpa using congrArg swap h, congrArg _⟩
| .lake/packages/batteries/Batteries/Classes/Order.lean | 17 | 18 | theorem swap_then (o₁ o₂ : Ordering) : (o₁.then o₂).swap = o₁.swap.then o₂.swap := by |
cases o₁ <;> rfl
|
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Comp
#align_import analysis.calculus.deriv.inv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
open scoped Classical
open Topology Filter ENNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L : Filter 𝕜}
section Inverse
theorem hasStrictDerivAt_inv (hx : x ≠ 0) : HasStrictDerivAt Inv.inv (-(x ^ 2)⁻¹) x := by
suffices
(fun p : 𝕜 × 𝕜 => (p.1 - p.2) * ((x * x)⁻¹ - (p.1 * p.2)⁻¹)) =o[𝓝 (x, x)] fun p =>
(p.1 - p.2) * 1 by
refine this.congr' ?_ (eventually_of_forall fun _ => mul_one _)
refine Eventually.mono ((isOpen_ne.prod isOpen_ne).mem_nhds ⟨hx, hx⟩) ?_
rintro ⟨y, z⟩ ⟨hy, hz⟩
simp only [mem_setOf_eq] at hy hz
-- hy : y ≠ 0, hz : z ≠ 0
field_simp [hx, hy, hz]
ring
refine (isBigO_refl (fun p : 𝕜 × 𝕜 => p.1 - p.2) _).mul_isLittleO ((isLittleO_one_iff 𝕜).2 ?_)
rw [← sub_self (x * x)⁻¹]
exact tendsto_const_nhds.sub ((continuous_mul.tendsto (x, x)).inv₀ <| mul_ne_zero hx hx)
#align has_strict_deriv_at_inv hasStrictDerivAt_inv
theorem hasDerivAt_inv (x_ne_zero : x ≠ 0) : HasDerivAt (fun y => y⁻¹) (-(x ^ 2)⁻¹) x :=
(hasStrictDerivAt_inv x_ne_zero).hasDerivAt
#align has_deriv_at_inv hasDerivAt_inv
theorem hasDerivWithinAt_inv (x_ne_zero : x ≠ 0) (s : Set 𝕜) :
HasDerivWithinAt (fun x => x⁻¹) (-(x ^ 2)⁻¹) s x :=
(hasDerivAt_inv x_ne_zero).hasDerivWithinAt
#align has_deriv_within_at_inv hasDerivWithinAt_inv
theorem differentiableAt_inv : DifferentiableAt 𝕜 (fun x => x⁻¹) x ↔ x ≠ 0 :=
⟨fun H => NormedField.continuousAt_inv.1 H.continuousAt, fun H =>
(hasDerivAt_inv H).differentiableAt⟩
#align differentiable_at_inv differentiableAt_inv
theorem differentiableWithinAt_inv (x_ne_zero : x ≠ 0) :
DifferentiableWithinAt 𝕜 (fun x => x⁻¹) s x :=
(differentiableAt_inv.2 x_ne_zero).differentiableWithinAt
#align differentiable_within_at_inv differentiableWithinAt_inv
theorem differentiableOn_inv : DifferentiableOn 𝕜 (fun x : 𝕜 => x⁻¹) { x | x ≠ 0 } := fun _x hx =>
differentiableWithinAt_inv hx
#align differentiable_on_inv differentiableOn_inv
| Mathlib/Analysis/Calculus/Deriv/Inv.lean | 87 | 90 | theorem deriv_inv : deriv (fun x => x⁻¹) x = -(x ^ 2)⁻¹ := by |
rcases eq_or_ne x 0 with (rfl | hne)
· simp [deriv_zero_of_not_differentiableAt (mt differentiableAt_inv.1 (not_not.2 rfl))]
· exact (hasDerivAt_inv hne).deriv
|
import Mathlib.MeasureTheory.Integral.SetToL1
#align_import measure_theory.integral.bochner from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
assert_not_exists Differentiable
noncomputable section
open scoped Topology NNReal ENNReal MeasureTheory
open Set Filter TopologicalSpace ENNReal EMetric
namespace MeasureTheory
variable {α E F 𝕜 : Type*}
section WeightedSMul
open ContinuousLinearMap
variable [NormedAddCommGroup F] [NormedSpace ℝ F] {m : MeasurableSpace α} {μ : Measure α}
def weightedSMul {_ : MeasurableSpace α} (μ : Measure α) (s : Set α) : F →L[ℝ] F :=
(μ s).toReal • ContinuousLinearMap.id ℝ F
#align measure_theory.weighted_smul MeasureTheory.weightedSMul
theorem weightedSMul_apply {m : MeasurableSpace α} (μ : Measure α) (s : Set α) (x : F) :
weightedSMul μ s x = (μ s).toReal • x := by simp [weightedSMul]
#align measure_theory.weighted_smul_apply MeasureTheory.weightedSMul_apply
@[simp]
theorem weightedSMul_zero_measure {m : MeasurableSpace α} :
weightedSMul (0 : Measure α) = (0 : Set α → F →L[ℝ] F) := by ext1; simp [weightedSMul]
#align measure_theory.weighted_smul_zero_measure MeasureTheory.weightedSMul_zero_measure
@[simp]
theorem weightedSMul_empty {m : MeasurableSpace α} (μ : Measure α) :
weightedSMul μ ∅ = (0 : F →L[ℝ] F) := by ext1 x; rw [weightedSMul_apply]; simp
#align measure_theory.weighted_smul_empty MeasureTheory.weightedSMul_empty
theorem weightedSMul_add_measure {m : MeasurableSpace α} (μ ν : Measure α) {s : Set α}
(hμs : μ s ≠ ∞) (hνs : ν s ≠ ∞) :
(weightedSMul (μ + ν) s : F →L[ℝ] F) = weightedSMul μ s + weightedSMul ν s := by
ext1 x
push_cast
simp_rw [Pi.add_apply, weightedSMul_apply]
push_cast
rw [Pi.add_apply, ENNReal.toReal_add hμs hνs, add_smul]
#align measure_theory.weighted_smul_add_measure MeasureTheory.weightedSMul_add_measure
theorem weightedSMul_smul_measure {m : MeasurableSpace α} (μ : Measure α) (c : ℝ≥0∞) {s : Set α} :
(weightedSMul (c • μ) s : F →L[ℝ] F) = c.toReal • weightedSMul μ s := by
ext1 x
push_cast
simp_rw [Pi.smul_apply, weightedSMul_apply]
push_cast
simp_rw [Pi.smul_apply, smul_eq_mul, toReal_mul, smul_smul]
#align measure_theory.weighted_smul_smul_measure MeasureTheory.weightedSMul_smul_measure
theorem weightedSMul_congr (s t : Set α) (hst : μ s = μ t) :
(weightedSMul μ s : F →L[ℝ] F) = weightedSMul μ t := by
ext1 x; simp_rw [weightedSMul_apply]; congr 2
#align measure_theory.weighted_smul_congr MeasureTheory.weightedSMul_congr
theorem weightedSMul_null {s : Set α} (h_zero : μ s = 0) : (weightedSMul μ s : F →L[ℝ] F) = 0 := by
ext1 x; rw [weightedSMul_apply, h_zero]; simp
#align measure_theory.weighted_smul_null MeasureTheory.weightedSMul_null
| Mathlib/MeasureTheory/Integral/Bochner.lean | 213 | 219 | theorem weightedSMul_union' (s t : Set α) (ht : MeasurableSet t) (hs_finite : μ s ≠ ∞)
(ht_finite : μ t ≠ ∞) (h_inter : s ∩ t = ∅) :
(weightedSMul μ (s ∪ t) : F →L[ℝ] F) = weightedSMul μ s + weightedSMul μ t := by |
ext1 x
simp_rw [add_apply, weightedSMul_apply,
measure_union (Set.disjoint_iff_inter_eq_empty.mpr h_inter) ht,
ENNReal.toReal_add hs_finite ht_finite, add_smul]
|
import Mathlib.Data.List.Infix
#align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ)
namespace List
def rdrop : List α :=
l.take (l.length - n)
#align list.rdrop List.rdrop
@[simp]
theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop]
#align list.rdrop_nil List.rdrop_nil
@[simp]
theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop]
#align list.rdrop_zero List.rdrop_zero
theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by
rw [rdrop]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· simp [take_append]
· simp [take_append_eq_append_take, IH]
#align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse
@[simp]
theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by
simp [rdrop_eq_reverse_drop_reverse]
#align list.rdrop_concat_succ List.rdrop_concat_succ
def rtake : List α :=
l.drop (l.length - n)
#align list.rtake List.rtake
@[simp]
theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake]
#align list.rtake_nil List.rtake_nil
@[simp]
theorem rtake_zero : rtake l 0 = [] := by simp [rtake]
#align list.rtake_zero List.rtake_zero
theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by
rw [rtake]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· exact drop_length _
· simp [drop_append_eq_append_drop, IH]
#align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse
@[simp]
theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by
simp [rtake_eq_reverse_take_reverse]
#align list.rtake_concat_succ List.rtake_concat_succ
def rdropWhile : List α :=
reverse (l.reverse.dropWhile p)
#align list.rdrop_while List.rdropWhile
@[simp]
theorem rdropWhile_nil : rdropWhile p ([] : List α) = [] := by simp [rdropWhile, dropWhile]
#align list.rdrop_while_nil List.rdropWhile_nil
theorem rdropWhile_concat (x : α) :
rdropWhile p (l ++ [x]) = if p x then rdropWhile p l else l ++ [x] := by
simp only [rdropWhile, dropWhile, reverse_append, reverse_singleton, singleton_append]
split_ifs with h <;> simp [h]
#align list.rdrop_while_concat List.rdropWhile_concat
@[simp]
theorem rdropWhile_concat_pos (x : α) (h : p x) : rdropWhile p (l ++ [x]) = rdropWhile p l := by
rw [rdropWhile_concat, if_pos h]
#align list.rdrop_while_concat_pos List.rdropWhile_concat_pos
@[simp]
theorem rdropWhile_concat_neg (x : α) (h : ¬p x) : rdropWhile p (l ++ [x]) = l ++ [x] := by
rw [rdropWhile_concat, if_neg h]
#align list.rdrop_while_concat_neg List.rdropWhile_concat_neg
theorem rdropWhile_singleton (x : α) : rdropWhile p [x] = if p x then [] else [x] := by
rw [← nil_append [x], rdropWhile_concat, rdropWhile_nil]
#align list.rdrop_while_singleton List.rdropWhile_singleton
theorem rdropWhile_last_not (hl : l.rdropWhile p ≠ []) : ¬p ((rdropWhile p l).getLast hl) := by
simp_rw [rdropWhile]
rw [getLast_reverse]
exact dropWhile_nthLe_zero_not _ _ _
#align list.rdrop_while_last_not List.rdropWhile_last_not
theorem rdropWhile_prefix : l.rdropWhile p <+: l := by
rw [← reverse_suffix, rdropWhile, reverse_reverse]
exact dropWhile_suffix _
#align list.rdrop_while_prefix List.rdropWhile_prefix
variable {p} {l}
@[simp]
theorem rdropWhile_eq_nil_iff : rdropWhile p l = [] ↔ ∀ x ∈ l, p x := by simp [rdropWhile]
#align list.rdrop_while_eq_nil_iff List.rdropWhile_eq_nil_iff
-- it is in this file because it requires `List.Infix`
@[simp]
theorem dropWhile_eq_self_iff : dropWhile p l = l ↔ ∀ hl : 0 < l.length, ¬p (l.get ⟨0, hl⟩) := by
cases' l with hd tl
· simp only [dropWhile, true_iff]
intro h
by_contra
rwa [length_nil, lt_self_iff_false] at h
· rw [dropWhile]
refine ⟨fun h => ?_, fun h => ?_⟩
· intro _ H
rw [get] at H
refine (cons_ne_self hd tl) (Sublist.antisymm ?_ (sublist_cons _ _))
rw [← h]
simp only [H]
exact List.IsSuffix.sublist (dropWhile_suffix p)
· have := h (by simp only [length, Nat.succ_pos])
rw [get] at this
simp_rw [this]
#align list.drop_while_eq_self_iff List.dropWhile_eq_self_iff
@[simp]
theorem rdropWhile_eq_self_iff : rdropWhile p l = l ↔ ∀ hl : l ≠ [], ¬p (l.getLast hl) := by
simp only [rdropWhile, reverse_eq_iff, dropWhile_eq_self_iff, getLast_eq_get]
refine ⟨fun h hl => ?_, fun h hl => ?_⟩
· rw [← length_pos, ← length_reverse] at hl
have := h hl
rwa [get_reverse'] at this
· rw [length_reverse, length_pos] at hl
have := h hl
rwa [get_reverse']
#align list.rdrop_while_eq_self_iff List.rdropWhile_eq_self_iff
variable (p) (l)
theorem dropWhile_idempotent : dropWhile p (dropWhile p l) = dropWhile p l := by
simp only [dropWhile_eq_self_iff]
exact fun h => dropWhile_nthLe_zero_not p l h
#align list.drop_while_idempotent List.dropWhile_idempotent
theorem rdropWhile_idempotent : rdropWhile p (rdropWhile p l) = rdropWhile p l :=
rdropWhile_eq_self_iff.mpr (rdropWhile_last_not _ _)
#align list.rdrop_while_idempotent List.rdropWhile_idempotent
def rtakeWhile : List α :=
reverse (l.reverse.takeWhile p)
#align list.rtake_while List.rtakeWhile
@[simp]
theorem rtakeWhile_nil : rtakeWhile p ([] : List α) = [] := by simp [rtakeWhile, takeWhile]
#align list.rtake_while_nil List.rtakeWhile_nil
theorem rtakeWhile_concat (x : α) :
rtakeWhile p (l ++ [x]) = if p x then rtakeWhile p l ++ [x] else [] := by
simp only [rtakeWhile, takeWhile, reverse_append, reverse_singleton, singleton_append]
split_ifs with h <;> simp [h]
#align list.rtake_while_concat List.rtakeWhile_concat
@[simp]
| Mathlib/Data/List/DropRight.lean | 205 | 206 | theorem rtakeWhile_concat_pos (x : α) (h : p x) :
rtakeWhile p (l ++ [x]) = rtakeWhile p l ++ [x] := by | rw [rtakeWhile_concat, if_pos h]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
#align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior
theorem compl_frontier_eq_union_interior :
(frontier s)ᶜ = interior s ∪ interior sᶜ := by
rw [frontier_eq_inter_compl_interior]
simp only [compl_inter, compl_compl]
#align compl_frontier_eq_union_interior compl_frontier_eq_union_interior
theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by
simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and]
#align nhds_def' nhds_def'
theorem nhds_basis_opens (x : X) :
(𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by
rw [nhds_def]
exact hasBasis_biInf_principal
(fun s ⟨has, hs⟩ t ⟨hat, ht⟩ =>
⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩)
⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩
#align nhds_basis_opens nhds_basis_opens
theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl :=
⟨fun t => (nhds_basis_opens x).mem_iff.trans <|
compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩
#align nhds_basis_closeds nhds_basis_closeds
@[simp]
theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x :=
(nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right
theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) :=
lift'_nhds_interior x ▸ h.lift'_interior
theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def]
#align le_nhds_iff le_nhds_iff
theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by
rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf
#align nhds_le_of_le nhds_le_of_le
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t :=
(nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ =>
⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩
#align mem_nhds_iff mem_nhds_iffₓ
theorem eventually_nhds_iff {p : X → Prop} :
(∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t :=
mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq]
#align eventually_nhds_iff eventually_nhds_iff
theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x :=
mem_interior.trans mem_nhds_iff.symm
#align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds
theorem map_nhds {f : X → α} :
map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) :=
((nhds_basis_opens x).map f).eq_biInf
#align map_nhds map_nhds
theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H =>
let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs
#align mem_of_mem_nhds mem_of_mem_nhds
theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x :=
mem_of_mem_nhds h
#align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds
theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x :=
mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩
#align is_open.mem_nhds IsOpen.mem_nhds
protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s :=
⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩
#align is_open.mem_nhds_iff IsOpen.mem_nhds_iff
theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x :=
hs.isOpen_compl.mem_nhds (mem_compl hx)
#align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds
theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) :
∀ᶠ x in 𝓝 x, x ∈ s :=
IsOpen.mem_nhds hs hx
#align is_open.eventually_mem IsOpen.eventually_mem
theorem nhds_basis_opens' (x : X) :
(𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by
convert nhds_basis_opens x using 2
exact and_congr_left_iff.2 IsOpen.mem_nhds_iff
#align nhds_basis_opens' nhds_basis_opens'
theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩
#align exists_open_set_nhds exists_open_set_nhds
theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
exists_open_set_nhds (by simpa using h)
#align exists_open_set_nhds' exists_open_set_nhds'
theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) :
∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x :=
let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h
eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩
#align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds
@[simp]
theorem eventually_eventually_nhds {p : X → Prop} :
(∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x :=
⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩
#align eventually_eventually_nhds eventually_eventually_nhds
@[simp]
theorem frequently_frequently_nhds {p : X → Prop} :
(∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by
rw [← not_iff_not]
simp only [not_frequently, eventually_eventually_nhds]
#align frequently_frequently_nhds frequently_frequently_nhds
@[simp]
theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x :=
eventually_eventually_nhds
#align eventually_mem_nhds eventually_mem_nhds
@[simp]
theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x :=
Filter.ext fun _ => eventually_eventually_nhds
#align nhds_bind_nhds nhds_bind_nhds
@[simp]
theorem eventually_eventuallyEq_nhds {f g : X → α} :
(∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds
theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x :=
h.self_of_nhds
#align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds
@[simp]
theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} :
(∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_le_nhds eventually_eventuallyLE_nhds
theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds
theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds
theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s :=
((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp]
#align all_mem_nhds all_mem_nhds
theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l :=
all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt)
#align all_mem_nhds_filter all_mem_nhds_filter
theorem tendsto_nhds {f : α → X} {l : Filter α} :
Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l :=
all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _
#align tendsto_nhds tendsto_nhds
theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} :
Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U :=
(atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by
simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le]
#align tendsto_at_top_nhds tendsto_atTop_nhds
theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) :=
tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha
#align tendsto_const_nhds tendsto_const_nhds
theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const
theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const
theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs
#align pure_le_nhds pure_le_nhds
theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) :=
(tendsto_pure_pure f a).mono_right (pure_le_nhds _)
#align tendsto_pure_nhds tendsto_pure_nhds
theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) :
Tendsto f atTop (𝓝 (f ⊤)) :=
(tendsto_atTop_pure f).mono_right (pure_le_nhds _)
#align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds
@[simp]
instance nhds_neBot : NeBot (𝓝 x) :=
neBot_of_le (pure_le_nhds x)
#align nhds_ne_bot nhds_neBot
theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) :
Tendsto f l (𝓝 x) :=
tendsto_const_nhds.congr' (.symm h)
theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) :
Tendsto f l (𝓝 x) :=
tendsto_nhds_of_eventually_eq hf
theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) :=
h
#align cluster_pt.ne_bot ClusterPt.neBot
theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop}
{sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) :
ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty :=
hX.inf_basis_neBot_iff hF
#align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff
theorem clusterPt_iff {F : Filter X} :
ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty :=
inf_neBot_iff
#align cluster_pt_iff clusterPt_iff
theorem clusterPt_iff_not_disjoint {F : Filter X} :
ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by
rw [disjoint_iff, ClusterPt, neBot_iff]
theorem clusterPt_principal_iff :
ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty :=
inf_principal_neBot_iff
#align cluster_pt_principal_iff clusterPt_principal_iff
theorem clusterPt_principal_iff_frequently :
ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by
simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff]
#align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently
theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by
rwa [ClusterPt, inf_eq_right.mpr H]
#align cluster_pt.of_le_nhds ClusterPt.of_le_nhds
theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) :
ClusterPt x f :=
ClusterPt.of_le_nhds H
#align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds'
theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by
simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot]
#align cluster_pt.of_nhds_le ClusterPt.of_nhds_le
theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g :=
NeBot.mono H <| inf_le_inf_left _ h
#align cluster_pt.mono ClusterPt.mono
theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f :=
H.mono inf_le_left
#align cluster_pt.of_inf_left ClusterPt.of_inf_left
theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) :
ClusterPt x g :=
H.mono inf_le_right
#align cluster_pt.of_inf_right ClusterPt.of_inf_right
theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x :=
⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩
#align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff
theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔
∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by
simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl
theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by
simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map]
rfl
#align map_cluster_pt_iff mapClusterPt_iff
theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by
simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap,
← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β}
{u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl
theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β}
{u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) :
MapClusterPt x F u := by
have :=
calc
map (u ∘ φ) p = map u (map φ p) := map_map
_ ≤ map u F := map_mono h
have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this
exact neBot_of_le this
#align map_cluster_pt_of_comp mapClusterPt_of_comp
theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by
rw [AccPt, nhdsWithin, ClusterPt, inf_assoc]
#align acc_iff_cluster acc_iff_cluster
theorem acc_principal_iff_cluster (x : X) (C : Set X) :
AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by
rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq]
#align acc_principal_iff_cluster acc_principal_iff_cluster
theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc,
@and_comm (¬_ = x)]
#align acc_pt_iff_nhds accPt_iff_nhds
theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm]
#align acc_pt_iff_frequently accPt_iff_frequently
theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G :=
NeBot.mono h (inf_le_inf_left _ hFG)
#align acc_pt.mono AccPt.mono
theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } :=
Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq]
#align interior_eq_nhds' interior_eq_nhds'
theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } :=
interior_eq_nhds'.trans <| by simp only [le_principal_iff]
#align interior_eq_nhds interior_eq_nhds
@[simp]
theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x :=
⟨fun h => mem_of_superset h interior_subset, fun h =>
IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩
#align interior_mem_nhds interior_mem_nhds
theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } :=
interior_eq_nhds'
#align interior_set_of_eq interior_setOf_eq
theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by
simp only [← interior_setOf_eq, isOpen_interior]
#align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds
theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by
simp_rw [subset_def, mem_interior_iff_mem_nhds]
#align subset_interior_iff_nhds subset_interior_iff_nhds
theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s :=
calc
IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm
_ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf]
#align is_open_iff_nhds isOpen_iff_nhds
theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} :
t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x :=
⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩
alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds
theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x :=
isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff
#align is_open_iff_mem_nhds isOpen_iff_mem_nhds
theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s :=
isOpen_iff_mem_nhds
#align is_open_iff_eventually isOpen_iff_eventually
theorem isOpen_iff_ultrafilter :
IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by
simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter]
#align is_open_iff_ultrafilter isOpen_iff_ultrafilter
theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by
constructor
· intro h
apply le_antisymm _ (pure_le_nhds x)
rw [le_pure_iff]
exact h.mem_nhds (mem_singleton x)
· intro h
simp [isOpen_iff_nhds, h]
#align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure
theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by
rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff,
nhds_neBot.le_pure_iff]
#align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds
theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by
rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds,
closure_eq_compl_interior_compl, mem_compl_iff, compl_def]
#align mem_closure_iff_frequently mem_closure_iff_frequently
alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently
#align filter.frequently.mem_closure Filter.Frequently.mem_closure
theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by
rw [← closure_subset_iff_isClosed]
refine forall_congr' fun x => ?_
rw [mem_closure_iff_frequently]
#align is_closed_iff_frequently isClosed_iff_frequently
theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by
simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or]
refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2
exacts [isOpen_setOf_eventually_nhds, isOpen_const]
#align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt
theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) :=
mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm
#align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt
theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ :=
mem_closure_iff_clusterPt.trans neBot_iff
#align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot
@[deprecated (since := "2024-01-28")]
alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot
theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) :=
mem_closure_iff_clusterPt
#align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot
lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by
rw [mem_closure_iff_nhdsWithin_neBot, not_neBot]
theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by
intro y
rcases eq_or_ne y x with (rfl | hne)
· rwa [mem_closure_iff_nhdsWithin_neBot]
· exact subset_closure hne
#align dense_compl_singleton dense_compl_singleton
-- Porting note (#10618): was a `@[simp]` lemma but `simp` can prove it
theorem closure_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : closure {x}ᶜ = (univ : Set X) :=
(dense_compl_singleton x).closure_eq
#align closure_compl_singleton closure_compl_singleton
@[simp]
theorem interior_singleton (x : X) [NeBot (𝓝[≠] x)] : interior {x} = (∅ : Set X) :=
interior_eq_empty_iff_dense_compl.2 (dense_compl_singleton x)
#align interior_singleton interior_singleton
theorem not_isOpen_singleton (x : X) [NeBot (𝓝[≠] x)] : ¬IsOpen ({x} : Set X) :=
dense_compl_singleton_iff_not_open.1 (dense_compl_singleton x)
#align not_is_open_singleton not_isOpen_singleton
theorem closure_eq_cluster_pts : closure s = { a | ClusterPt a (𝓟 s) } :=
Set.ext fun _ => mem_closure_iff_clusterPt
#align closure_eq_cluster_pts closure_eq_cluster_pts
theorem mem_closure_iff_nhds : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, (t ∩ s).Nonempty :=
mem_closure_iff_clusterPt.trans clusterPt_principal_iff
#align mem_closure_iff_nhds mem_closure_iff_nhds
theorem mem_closure_iff_nhds' : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, ∃ y : s, ↑y ∈ t := by
simp only [mem_closure_iff_nhds, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop]
#align mem_closure_iff_nhds' mem_closure_iff_nhds'
theorem mem_closure_iff_comap_neBot :
x ∈ closure s ↔ NeBot (comap ((↑) : s → X) (𝓝 x)) := by
simp_rw [mem_closure_iff_nhds, comap_neBot_iff, Set.inter_nonempty_iff_exists_right,
SetCoe.exists, exists_prop]
#align mem_closure_iff_comap_ne_bot mem_closure_iff_comap_neBot
theorem mem_closure_iff_nhds_basis' {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) :
x ∈ closure t ↔ ∀ i, p i → (s i ∩ t).Nonempty :=
mem_closure_iff_clusterPt.trans <|
(h.clusterPt_iff (hasBasis_principal _)).trans <| by simp only [exists_prop, forall_const]
#align mem_closure_iff_nhds_basis' mem_closure_iff_nhds_basis'
theorem mem_closure_iff_nhds_basis {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) :
x ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i :=
(mem_closure_iff_nhds_basis' h).trans <| by
simp only [Set.Nonempty, mem_inter_iff, exists_prop, and_comm]
#align mem_closure_iff_nhds_basis mem_closure_iff_nhds_basis
theorem clusterPt_iff_forall_mem_closure {F : Filter X} :
ClusterPt x F ↔ ∀ s ∈ F, x ∈ closure s := by
simp_rw [ClusterPt, inf_neBot_iff, mem_closure_iff_nhds]
rw [forall₂_swap]
theorem clusterPt_iff_lift'_closure {F : Filter X} :
ClusterPt x F ↔ pure x ≤ (F.lift' closure) := by
simp_rw [clusterPt_iff_forall_mem_closure,
(hasBasis_pure _).le_basis_iff F.basis_sets.lift'_closure, id, singleton_subset_iff, true_and,
exists_const]
theorem clusterPt_iff_lift'_closure' {F : Filter X} :
ClusterPt x F ↔ (F.lift' closure ⊓ pure x).NeBot := by
rw [clusterPt_iff_lift'_closure, ← Ultrafilter.coe_pure, inf_comm, Ultrafilter.inf_neBot_iff]
@[simp]
theorem clusterPt_lift'_closure_iff {F : Filter X} :
ClusterPt x (F.lift' closure) ↔ ClusterPt x F := by
simp [clusterPt_iff_lift'_closure, lift'_lift'_assoc (monotone_closure X) (monotone_closure X)]
theorem mem_closure_iff_ultrafilter :
x ∈ closure s ↔ ∃ u : Ultrafilter X, s ∈ u ∧ ↑u ≤ 𝓝 x := by
simp [closure_eq_cluster_pts, ClusterPt, ← exists_ultrafilter_iff, and_comm]
#align mem_closure_iff_ultrafilter mem_closure_iff_ultrafilter
theorem isClosed_iff_clusterPt : IsClosed s ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s :=
calc
IsClosed s ↔ closure s ⊆ s := closure_subset_iff_isClosed.symm
_ ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s := by simp only [subset_def, mem_closure_iff_clusterPt]
#align is_closed_iff_cluster_pt isClosed_iff_clusterPt
theorem isClosed_iff_ultrafilter : IsClosed s ↔
∀ x, ∀ u : Ultrafilter X, ↑u ≤ 𝓝 x → s ∈ u → x ∈ s := by
simp [isClosed_iff_clusterPt, ClusterPt, ← exists_ultrafilter_iff]
theorem isClosed_iff_nhds :
IsClosed s ↔ ∀ x, (∀ U ∈ 𝓝 x, (U ∩ s).Nonempty) → x ∈ s := by
simp_rw [isClosed_iff_clusterPt, ClusterPt, inf_principal_neBot_iff]
#align is_closed_iff_nhds isClosed_iff_nhds
lemma isClosed_iff_forall_filter :
IsClosed s ↔ ∀ x, ∀ F : Filter X, F.NeBot → F ≤ 𝓟 s → F ≤ 𝓝 x → x ∈ s := by
simp_rw [isClosed_iff_clusterPt]
exact ⟨fun hs x F F_ne FS Fx ↦ hs _ <| NeBot.mono F_ne (le_inf Fx FS),
fun hs x hx ↦ hs x (𝓝 x ⊓ 𝓟 s) hx inf_le_right inf_le_left⟩
theorem IsClosed.interior_union_left (_ : IsClosed s) :
interior (s ∪ t) ⊆ s ∪ interior t := fun a ⟨u, ⟨⟨hu₁, hu₂⟩, ha⟩⟩ =>
(Classical.em (a ∈ s)).imp_right fun h =>
mem_interior.mpr
⟨u ∩ sᶜ, fun _x hx => (hu₂ hx.1).resolve_left hx.2, IsOpen.inter hu₁ IsClosed.isOpen_compl,
⟨ha, h⟩⟩
#align is_closed.interior_union_left IsClosed.interior_union_left
theorem IsClosed.interior_union_right (h : IsClosed t) :
interior (s ∪ t) ⊆ interior s ∪ t := by
simpa only [union_comm _ t] using h.interior_union_left
#align is_closed.interior_union_right IsClosed.interior_union_right
theorem IsOpen.inter_closure (h : IsOpen s) : s ∩ closure t ⊆ closure (s ∩ t) :=
compl_subset_compl.mp <| by
simpa only [← interior_compl, compl_inter] using IsClosed.interior_union_left h.isClosed_compl
#align is_open.inter_closure IsOpen.inter_closure
| Mathlib/Topology/Basic.lean | 1,376 | 1,377 | theorem IsOpen.closure_inter (h : IsOpen t) : closure s ∩ t ⊆ closure (s ∩ t) := by |
simpa only [inter_comm t] using h.inter_closure
|
import Mathlib.Geometry.Manifold.ContMDiff.Basic
open Set ChartedSpace SmoothManifoldWithCorners
open scoped Manifold
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare a smooth manifold `M` over the pair `(E, H)`.
{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]
-- declare a smooth manifold `M'` over the pair `(E', H')`.
{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']
-- declare functions, sets, points and smoothness indices
{e : PartialHomeomorph M H} {x : M} {m n : ℕ∞}
section Atlas
theorem contMDiff_model : ContMDiff I 𝓘(𝕜, E) n I := by
intro x
refine (contMDiffAt_iff _ _).mpr ⟨I.continuousAt, ?_⟩
simp only [mfld_simps]
refine contDiffWithinAt_id.congr_of_eventuallyEq ?_ ?_
· exact Filter.eventuallyEq_of_mem self_mem_nhdsWithin fun x₂ => I.right_inv
simp_rw [Function.comp_apply, I.left_inv, Function.id_def]
#align cont_mdiff_model contMDiff_model
theorem contMDiffOn_model_symm : ContMDiffOn 𝓘(𝕜, E) I n I.symm (range I) := by
rw [contMDiffOn_iff]
refine ⟨I.continuousOn_symm, fun x y => ?_⟩
simp only [mfld_simps]
exact contDiffOn_id.congr fun x' => I.right_inv
#align cont_mdiff_on_model_symm contMDiffOn_model_symm
theorem contMDiffOn_of_mem_maximalAtlas (h : e ∈ maximalAtlas I M) : ContMDiffOn I I n e e.source :=
ContMDiffOn.of_le
((contDiffWithinAt_localInvariantProp I I ∞).liftPropOn_of_mem_maximalAtlas
(contDiffWithinAtProp_id I) h)
le_top
#align cont_mdiff_on_of_mem_maximal_atlas contMDiffOn_of_mem_maximalAtlas
theorem contMDiffOn_symm_of_mem_maximalAtlas (h : e ∈ maximalAtlas I M) :
ContMDiffOn I I n e.symm e.target :=
ContMDiffOn.of_le
((contDiffWithinAt_localInvariantProp I I ∞).liftPropOn_symm_of_mem_maximalAtlas
(contDiffWithinAtProp_id I) h)
le_top
#align cont_mdiff_on_symm_of_mem_maximal_atlas contMDiffOn_symm_of_mem_maximalAtlas
theorem contMDiffAt_of_mem_maximalAtlas (h : e ∈ maximalAtlas I M) (hx : x ∈ e.source) :
ContMDiffAt I I n e x :=
(contMDiffOn_of_mem_maximalAtlas h).contMDiffAt <| e.open_source.mem_nhds hx
#align cont_mdiff_at_of_mem_maximal_atlas contMDiffAt_of_mem_maximalAtlas
theorem contMDiffAt_symm_of_mem_maximalAtlas {x : H} (h : e ∈ maximalAtlas I M)
(hx : x ∈ e.target) : ContMDiffAt I I n e.symm x :=
(contMDiffOn_symm_of_mem_maximalAtlas h).contMDiffAt <| e.open_target.mem_nhds hx
#align cont_mdiff_at_symm_of_mem_maximal_atlas contMDiffAt_symm_of_mem_maximalAtlas
theorem contMDiffOn_chart : ContMDiffOn I I n (chartAt H x) (chartAt H x).source :=
contMDiffOn_of_mem_maximalAtlas <| chart_mem_maximalAtlas I x
#align cont_mdiff_on_chart contMDiffOn_chart
theorem contMDiffOn_chart_symm : ContMDiffOn I I n (chartAt H x).symm (chartAt H x).target :=
contMDiffOn_symm_of_mem_maximalAtlas <| chart_mem_maximalAtlas I x
#align cont_mdiff_on_chart_symm contMDiffOn_chart_symm
theorem contMDiffAt_extend {x : M} (he : e ∈ maximalAtlas I M) (hx : x ∈ e.source) :
ContMDiffAt I 𝓘(𝕜, E) n (e.extend I) x :=
(contMDiff_model _).comp x <| contMDiffAt_of_mem_maximalAtlas he hx
#align cont_mdiff_at_extend contMDiffAt_extend
theorem contMDiffAt_extChartAt' {x' : M} (h : x' ∈ (chartAt H x).source) :
ContMDiffAt I 𝓘(𝕜, E) n (extChartAt I x) x' :=
contMDiffAt_extend (chart_mem_maximalAtlas I x) h
#align cont_mdiff_at_ext_chart_at' contMDiffAt_extChartAt'
theorem contMDiffAt_extChartAt : ContMDiffAt I 𝓘(𝕜, E) n (extChartAt I x) x :=
contMDiffAt_extChartAt' <| mem_chart_source H x
#align cont_mdiff_at_ext_chart_at contMDiffAt_extChartAt
theorem contMDiffOn_extChartAt : ContMDiffOn I 𝓘(𝕜, E) n (extChartAt I x) (chartAt H x).source :=
fun _x' hx' => (contMDiffAt_extChartAt' hx').contMDiffWithinAt
#align cont_mdiff_on_ext_chart_at contMDiffOn_extChartAt
theorem contMDiffOn_extend_symm (he : e ∈ maximalAtlas I M) :
ContMDiffOn 𝓘(𝕜, E) I n (e.extend I).symm (I '' e.target) := by
refine (contMDiffOn_symm_of_mem_maximalAtlas he).comp
(contMDiffOn_model_symm.mono <| image_subset_range _ _) ?_
simp_rw [image_subset_iff, PartialEquiv.restr_coe_symm, I.toPartialEquiv_coe_symm,
preimage_preimage, I.left_inv, preimage_id']; rfl
#align cont_mdiff_on_extend_symm contMDiffOn_extend_symm
| Mathlib/Geometry/Manifold/ContMDiff/Atlas.lean | 113 | 116 | theorem contMDiffOn_extChartAt_symm (x : M) :
ContMDiffOn 𝓘(𝕜, E) I n (extChartAt I x).symm (extChartAt I x).target := by |
convert contMDiffOn_extend_symm (chart_mem_maximalAtlas I x)
rw [extChartAt_target, I.image_eq]
|
import Mathlib.Algebra.MonoidAlgebra.Support
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.Algebra.Regular.Basic
import Mathlib.Data.Nat.Choose.Sum
#align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c"
set_option linter.uppercaseLean3 false
noncomputable section
open Finsupp Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
variable [Semiring R] {p q r : R[X]}
section Coeff
@[simp]
| Mathlib/Algebra/Polynomial/Coeff.lean | 40 | 44 | theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by |
rcases p with ⟨⟩
rcases q with ⟨⟩
simp_rw [← ofFinsupp_add, coeff]
exact Finsupp.add_apply _ _ _
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Finset.NatAntidiagonal
#align_import algebra.big_operators.nat_antidiagonal from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
variable {M N : Type*} [CommMonoid M] [AddCommMonoid N]
namespace Finset
namespace Nat
| Mathlib/Algebra/BigOperators/NatAntidiagonal.lean | 23 | 26 | theorem prod_antidiagonal_succ {n : ℕ} {f : ℕ × ℕ → M} :
(∏ p ∈ antidiagonal (n + 1), f p)
= f (0, n + 1) * ∏ p ∈ antidiagonal n, f (p.1 + 1, p.2) := by |
rw [antidiagonal_succ, prod_cons, prod_map]; rfl
|
import Mathlib.Topology.Connected.Basic
open Set Topology
universe u v
variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α]
{s t u v : Set α}
section LocallyConnectedSpace
class LocallyConnectedSpace (α : Type*) [TopologicalSpace α] : Prop where
open_connected_basis : ∀ x, (𝓝 x).HasBasis (fun s : Set α => IsOpen s ∧ x ∈ s ∧ IsConnected s) id
#align locally_connected_space LocallyConnectedSpace
theorem locallyConnectedSpace_iff_open_connected_basis :
LocallyConnectedSpace α ↔
∀ x, (𝓝 x).HasBasis (fun s : Set α => IsOpen s ∧ x ∈ s ∧ IsConnected s) id :=
⟨@LocallyConnectedSpace.open_connected_basis _ _, LocallyConnectedSpace.mk⟩
#align locally_connected_space_iff_open_connected_basis locallyConnectedSpace_iff_open_connected_basis
theorem locallyConnectedSpace_iff_open_connected_subsets :
LocallyConnectedSpace α ↔
∀ x, ∀ U ∈ 𝓝 x, ∃ V : Set α, V ⊆ U ∧ IsOpen V ∧ x ∈ V ∧ IsConnected V := by
simp_rw [locallyConnectedSpace_iff_open_connected_basis]
refine forall_congr' fun _ => ?_
constructor
· intro h U hU
rcases h.mem_iff.mp hU with ⟨V, hV, hVU⟩
exact ⟨V, hVU, hV⟩
· exact fun h => ⟨fun U => ⟨fun hU =>
let ⟨V, hVU, hV⟩ := h U hU
⟨V, hV, hVU⟩, fun ⟨V, ⟨hV, hxV, _⟩, hVU⟩ => mem_nhds_iff.mpr ⟨V, hVU, hV, hxV⟩⟩⟩
#align locally_connected_space_iff_open_connected_subsets locallyConnectedSpace_iff_open_connected_subsets
instance (priority := 100) DiscreteTopology.toLocallyConnectedSpace (α) [TopologicalSpace α]
[DiscreteTopology α] : LocallyConnectedSpace α :=
locallyConnectedSpace_iff_open_connected_subsets.2 fun x _U hU =>
⟨{x}, singleton_subset_iff.2 <| mem_of_mem_nhds hU, isOpen_discrete _, rfl,
isConnected_singleton⟩
#align discrete_topology.to_locally_connected_space DiscreteTopology.toLocallyConnectedSpace
theorem connectedComponentIn_mem_nhds [LocallyConnectedSpace α] {F : Set α} {x : α} (h : F ∈ 𝓝 x) :
connectedComponentIn F x ∈ 𝓝 x := by
rw [(LocallyConnectedSpace.open_connected_basis x).mem_iff] at h
rcases h with ⟨s, ⟨h1s, hxs, h2s⟩, hsF⟩
exact mem_nhds_iff.mpr ⟨s, h2s.isPreconnected.subset_connectedComponentIn hxs hsF, h1s, hxs⟩
#align connected_component_in_mem_nhds connectedComponentIn_mem_nhds
protected theorem IsOpen.connectedComponentIn [LocallyConnectedSpace α] {F : Set α} {x : α}
(hF : IsOpen F) : IsOpen (connectedComponentIn F x) := by
rw [isOpen_iff_mem_nhds]
intro y hy
rw [connectedComponentIn_eq hy]
exact connectedComponentIn_mem_nhds (hF.mem_nhds <| connectedComponentIn_subset F x hy)
#align is_open.connected_component_in IsOpen.connectedComponentIn
theorem isOpen_connectedComponent [LocallyConnectedSpace α] {x : α} :
IsOpen (connectedComponent x) := by
rw [← connectedComponentIn_univ]
exact isOpen_univ.connectedComponentIn
#align is_open_connected_component isOpen_connectedComponent
theorem isClopen_connectedComponent [LocallyConnectedSpace α] {x : α} :
IsClopen (connectedComponent x) :=
⟨isClosed_connectedComponent, isOpen_connectedComponent⟩
#align is_clopen_connected_component isClopen_connectedComponent
theorem locallyConnectedSpace_iff_connectedComponentIn_open :
LocallyConnectedSpace α ↔
∀ F : Set α, IsOpen F → ∀ x ∈ F, IsOpen (connectedComponentIn F x) := by
constructor
· intro h
exact fun F hF x _ => hF.connectedComponentIn
· intro h
rw [locallyConnectedSpace_iff_open_connected_subsets]
refine fun x U hU =>
⟨connectedComponentIn (interior U) x,
(connectedComponentIn_subset _ _).trans interior_subset, h _ isOpen_interior x ?_,
mem_connectedComponentIn ?_, isConnected_connectedComponentIn_iff.mpr ?_⟩ <;>
exact mem_interior_iff_mem_nhds.mpr hU
#align locally_connected_space_iff_connected_component_in_open locallyConnectedSpace_iff_connectedComponentIn_open
theorem locallyConnectedSpace_iff_connected_subsets :
LocallyConnectedSpace α ↔ ∀ (x : α), ∀ U ∈ 𝓝 x, ∃ V ∈ 𝓝 x, IsPreconnected V ∧ V ⊆ U := by
constructor
· rw [locallyConnectedSpace_iff_open_connected_subsets]
intro h x U hxU
rcases h x U hxU with ⟨V, hVU, hV₁, hxV, hV₂⟩
exact ⟨V, hV₁.mem_nhds hxV, hV₂.isPreconnected, hVU⟩
· rw [locallyConnectedSpace_iff_connectedComponentIn_open]
refine fun h U hU x _ => isOpen_iff_mem_nhds.mpr fun y hy => ?_
rw [connectedComponentIn_eq hy]
rcases h y U (hU.mem_nhds <| (connectedComponentIn_subset _ _) hy) with ⟨V, hVy, hV, hVU⟩
exact Filter.mem_of_superset hVy (hV.subset_connectedComponentIn (mem_of_mem_nhds hVy) hVU)
#align locally_connected_space_iff_connected_subsets locallyConnectedSpace_iff_connected_subsets
| Mathlib/Topology/Connected/LocallyConnected.lean | 118 | 122 | theorem locallyConnectedSpace_iff_connected_basis :
LocallyConnectedSpace α ↔
∀ x, (𝓝 x).HasBasis (fun s : Set α => s ∈ 𝓝 x ∧ IsPreconnected s) id := by |
rw [locallyConnectedSpace_iff_connected_subsets]
exact forall_congr' fun x => Filter.hasBasis_self.symm
|
import Mathlib.Algebra.Group.Hom.End
import Mathlib.Algebra.Ring.Invertible
import Mathlib.Algebra.SMulWithZero
import Mathlib.Data.Int.Cast.Lemmas
import Mathlib.GroupTheory.GroupAction.Units
#align_import algebra.module.basic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
assert_not_exists Multiset
assert_not_exists Set.indicator
assert_not_exists Pi.single_smul₀
open Function Set
universe u v
variable {α R k S M M₂ M₃ ι : Type*}
@[ext]
class Module (R : Type u) (M : Type v) [Semiring R] [AddCommMonoid M] extends
DistribMulAction R M where
protected add_smul : ∀ (r s : R) (x : M), (r + s) • x = r • x + s • x
protected zero_smul : ∀ x : M, (0 : R) • x = 0
#align module Module
#align module.ext Module.ext
#align module.ext_iff Module.ext_iff
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M] (r s : R) (x y : M)
-- see Note [lower instance priority]
instance (priority := 100) Module.toMulActionWithZero : MulActionWithZero R M :=
{ (inferInstance : MulAction R M) with
smul_zero := smul_zero
zero_smul := Module.zero_smul }
#align module.to_mul_action_with_zero Module.toMulActionWithZero
instance AddCommMonoid.natModule : Module ℕ M where
one_smul := one_nsmul
mul_smul m n a := mul_nsmul' a m n
smul_add n a b := nsmul_add a b n
smul_zero := nsmul_zero
zero_smul := zero_nsmul
add_smul r s x := add_nsmul x r s
#align add_comm_monoid.nat_module AddCommMonoid.natModule
theorem AddMonoid.End.natCast_def (n : ℕ) :
(↑n : AddMonoid.End M) = DistribMulAction.toAddMonoidEnd ℕ M n :=
rfl
#align add_monoid.End.nat_cast_def AddMonoid.End.natCast_def
theorem add_smul : (r + s) • x = r • x + s • x :=
Module.add_smul r s x
#align add_smul add_smul
theorem Convex.combo_self {a b : R} (h : a + b = 1) (x : M) : a • x + b • x = x := by
rw [← add_smul, h, one_smul]
#align convex.combo_self Convex.combo_self
variable (R)
-- Porting note: this is the letter of the mathlib3 version, but not really the spirit
theorem two_smul : (2 : R) • x = x + x := by rw [← one_add_one_eq_two, add_smul, one_smul]
#align two_smul two_smul
set_option linter.deprecated false in
@[deprecated]
theorem two_smul' : (2 : R) • x = bit0 x :=
two_smul R x
#align two_smul' two_smul'
@[simp]
theorem invOf_two_smul_add_invOf_two_smul [Invertible (2 : R)] (x : M) :
(⅟ 2 : R) • x + (⅟ 2 : R) • x = x :=
Convex.combo_self invOf_two_add_invOf_two _
#align inv_of_two_smul_add_inv_of_two_smul invOf_two_smul_add_invOf_two_smul
protected abbrev Function.Injective.module [AddCommMonoid M₂] [SMul R M₂] (f : M₂ →+ M)
(hf : Injective f) (smul : ∀ (c : R) (x), f (c • x) = c • f x) : Module R M₂ :=
{ hf.distribMulAction f smul with
add_smul := fun c₁ c₂ x => hf <| by simp only [smul, f.map_add, add_smul]
zero_smul := fun x => hf <| by simp only [smul, zero_smul, f.map_zero] }
#align function.injective.module Function.Injective.module
protected abbrev Function.Surjective.module [AddCommMonoid M₂] [SMul R M₂] (f : M →+ M₂)
(hf : Surjective f) (smul : ∀ (c : R) (x), f (c • x) = c • f x) : Module R M₂ :=
{ toDistribMulAction := hf.distribMulAction f smul
add_smul := fun c₁ c₂ x => by
rcases hf x with ⟨x, rfl⟩
simp only [add_smul, ← smul, ← f.map_add]
zero_smul := fun x => by
rcases hf x with ⟨x, rfl⟩
rw [← f.map_zero, ← smul, zero_smul] }
#align function.surjective.module Function.Surjective.module
abbrev Function.Surjective.moduleLeft {R S M : Type*} [Semiring R] [AddCommMonoid M] [Module R M]
[Semiring S] [SMul S M] (f : R →+* S) (hf : Function.Surjective f)
(hsmul : ∀ (c) (x : M), f c • x = c • x) : Module S M :=
{ hf.distribMulActionLeft f.toMonoidHom hsmul with
zero_smul := fun x => by rw [← f.map_zero, hsmul, zero_smul]
add_smul := hf.forall₂.mpr fun a b x => by simp only [← f.map_add, hsmul, add_smul] }
#align function.surjective.module_left Function.Surjective.moduleLeft
variable {R} (M)
abbrev Module.compHom [Semiring S] (f : S →+* R) : Module S M :=
{ MulActionWithZero.compHom M f.toMonoidWithZeroHom, DistribMulAction.compHom M (f : S →* R) with
-- Porting note: the `show f (r + s) • x = f r • x + f s • x` wasn't needed in mathlib3.
-- Somehow, now that `SMul` is heterogeneous, it can't unfold earlier fields of a definition for
-- use in later fields. See
-- https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Heterogeneous.20scalar.20multiplication
add_smul := fun r s x => show f (r + s) • x = f r • x + f s • x by simp [add_smul] }
#align module.comp_hom Module.compHom
variable (R)
@[simps! apply_apply]
def Module.toAddMonoidEnd : R →+* AddMonoid.End M :=
{ DistribMulAction.toAddMonoidEnd R M with
-- Porting note: the two `show`s weren't needed in mathlib3.
-- Somehow, now that `SMul` is heterogeneous, it can't unfold earlier fields of a definition for
-- use in later fields. See
-- https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Heterogeneous.20scalar.20multiplication
map_zero' := AddMonoidHom.ext fun r => show (0:R) • r = 0 by simp
map_add' := fun x y =>
AddMonoidHom.ext fun r => show (x + y) • r = x • r + y • r by simp [add_smul] }
#align module.to_add_monoid_End Module.toAddMonoidEnd
#align module.to_add_monoid_End_apply_apply Module.toAddMonoidEnd_apply_apply
def smulAddHom : R →+ M →+ M :=
(Module.toAddMonoidEnd R M).toAddMonoidHom
#align smul_add_hom smulAddHom
variable {R M}
@[simp]
theorem smulAddHom_apply (r : R) (x : M) : smulAddHom R M r x = r • x :=
rfl
#align smul_add_hom_apply smulAddHom_apply
| Mathlib/Algebra/Module/Defs.lean | 198 | 199 | theorem Module.eq_zero_of_zero_eq_one (zero_eq_one : (0 : R) = 1) : x = 0 := by |
rw [← one_smul R x, ← zero_eq_one, zero_smul]
|
import Mathlib.Topology.Algebra.InfiniteSum.Group
import Mathlib.Logic.Encodable.Lattice
noncomputable section
open Filter Finset Function Encodable
open scoped Topology
variable {M : Type*} [CommMonoid M] [TopologicalSpace M] {m m' : M}
variable {G : Type*} [CommGroup G] {g g' : G}
-- don't declare [TopologicalAddGroup G] here as some results require [UniformAddGroup G] instead
section Nat
section Monoid
namespace HasProd
@[to_additive "If `f : ℕ → M` has sum `m`, then the partial sums `∑ i ∈ range n, f i` converge
to `m`."]
theorem tendsto_prod_nat {f : ℕ → M} (h : HasProd f m) :
Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 m) :=
h.comp tendsto_finset_range
#align has_sum.tendsto_sum_nat HasSum.tendsto_sum_nat
@[to_additive "If `f : ℕ → M` is summable, then the partial sums `∑ i ∈ range n, f i` converge
to `∑' i, f i`."]
theorem Multipliable.tendsto_prod_tprod_nat {f : ℕ → M} (h : Multipliable f) :
Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 (∏' i, f i)) :=
tendsto_prod_nat h.hasProd
section ContinuousMul
variable [ContinuousMul M]
@[to_additive]
theorem prod_range_mul {f : ℕ → M} {k : ℕ} (h : HasProd (fun n ↦ f (n + k)) m) :
HasProd f ((∏ i ∈ range k, f i) * m) := by
refine ((range k).hasProd f).mul_compl ?_
rwa [← (notMemRangeEquiv k).symm.hasProd_iff]
@[to_additive]
| Mathlib/Topology/Algebra/InfiniteSum/NatInt.lean | 68 | 70 | theorem zero_mul {f : ℕ → M} (h : HasProd (fun n ↦ f (n + 1)) m) :
HasProd f (f 0 * m) := by |
simpa only [prod_range_one] using h.prod_range_mul
|
import Mathlib.Data.Nat.Factorial.Basic
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
#align_import data.nat.factorial.big_operators from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe"
open Finset Nat
namespace Nat
lemma monotone_factorial : Monotone factorial := fun _ _ => factorial_le
#align nat.monotone_factorial Nat.monotone_factorial
variable {α : Type*} (s : Finset α) (f : α → ℕ)
| Mathlib/Data/Nat/Factorial/BigOperators.lean | 31 | 31 | theorem prod_factorial_pos : 0 < ∏ i ∈ s, (f i)! := by | positivity
|
import Mathlib.Analysis.BoxIntegral.Partition.Filter
import Mathlib.Analysis.BoxIntegral.Partition.Measure
import Mathlib.Topology.UniformSpace.Compact
import Mathlib.Init.Data.Bool.Lemmas
#align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical Topology NNReal Filter Uniformity BoxIntegral
open Set Finset Function Filter Metric BoxIntegral.IntegrationParams
noncomputable section
namespace BoxIntegral
universe u v w
variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I}
open TaggedPrepartition
local notation "ℝⁿ" => ι → ℝ
def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F :=
∑ J ∈ π.boxes, vol J (f (π.tag J))
#align box_integral.integral_sum BoxIntegral.integralSum
theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I)
(πi : ∀ J, TaggedPrepartition J) :
integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by
refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_
rw [π.tag_biUnionTagged hJ hJ']
#align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged
theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F)
(π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) :
integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by
refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_)
calc
(∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) =
∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) :=
sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ']
_ = vol J (f (π.tag J)) :=
(vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes
le_top (hπi J hJ)
#align box_integral.integral_sum_bUnion_partition BoxIntegral.integralSum_biUnion_partition
theorem integralSum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I)
{π' : Prepartition I} (h : π'.IsPartition) :
integralSum f vol (π.infPrepartition π') = integralSum f vol π :=
integralSum_biUnion_partition f vol π _ fun _J hJ => h.restrict (Prepartition.le_of_mem _ hJ)
#align box_integral.integral_sum_inf_partition BoxIntegral.integralSum_inf_partition
theorem integralSum_fiberwise {α} (g : Box ι → α) (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F)
(π : TaggedPrepartition I) :
(∑ y ∈ π.boxes.image g, integralSum f vol (π.filter (g · = y))) = integralSum f vol π :=
π.sum_fiberwise g fun J => vol J (f <| π.tag J)
#align box_integral.integral_sum_fiberwise BoxIntegral.integralSum_fiberwise
theorem integralSum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F)
{π₁ π₂ : TaggedPrepartition I} (h₁ : π₁.IsPartition) (h₂ : π₂.IsPartition) :
integralSum f vol π₁ - integralSum f vol π₂ =
∑ J ∈ (π₁.toPrepartition ⊓ π₂.toPrepartition).boxes,
(vol J (f <| (π₁.infPrepartition π₂.toPrepartition).tag J) -
vol J (f <| (π₂.infPrepartition π₁.toPrepartition).tag J)) := by
rw [← integralSum_inf_partition f vol π₁ h₂, ← integralSum_inf_partition f vol π₂ h₁,
integralSum, integralSum, Finset.sum_sub_distrib]
simp only [infPrepartition_toPrepartition, inf_comm]
#align box_integral.integral_sum_sub_partitions BoxIntegral.integralSum_sub_partitions
@[simp]
theorem integralSum_disjUnion (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) {π₁ π₂ : TaggedPrepartition I}
(h : Disjoint π₁.iUnion π₂.iUnion) :
integralSum f vol (π₁.disjUnion π₂ h) = integralSum f vol π₁ + integralSum f vol π₂ := by
refine (Prepartition.sum_disj_union_boxes h _).trans
(congr_arg₂ (· + ·) (sum_congr rfl fun J hJ => ?_) (sum_congr rfl fun J hJ => ?_))
· rw [disjUnion_tag_of_mem_left _ hJ]
· rw [disjUnion_tag_of_mem_right _ hJ]
#align box_integral.integral_sum_disj_union BoxIntegral.integralSum_disjUnion
@[simp]
| Mathlib/Analysis/BoxIntegral/Basic.lean | 137 | 139 | theorem integralSum_add (f g : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) :
integralSum (f + g) vol π = integralSum f vol π + integralSum g vol π := by |
simp only [integralSum, Pi.add_apply, (vol _).map_add, Finset.sum_add_distrib]
|
import Batteries.Data.List.Lemmas
import Batteries.Tactic.Classical
import Mathlib.Tactic.TypeStar
import Mathlib.Mathport.Rename
#align_import data.list.tfae from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec"
namespace List
def TFAE (l : List Prop) : Prop :=
∀ x ∈ l, ∀ y ∈ l, x ↔ y
#align list.tfae List.TFAE
theorem tfae_nil : TFAE [] :=
forall_mem_nil _
#align list.tfae_nil List.tfae_nil
@[simp]
theorem tfae_singleton (p) : TFAE [p] := by simp [TFAE, -eq_iff_iff]
#align list.tfae_singleton List.tfae_singleton
theorem tfae_cons_of_mem {a b} {l : List Prop} (h : b ∈ l) : TFAE (a :: l) ↔ (a ↔ b) ∧ TFAE l :=
⟨fun H => ⟨H a (by simp) b (Mem.tail a h),
fun p hp q hq => H _ (Mem.tail a hp) _ (Mem.tail a hq)⟩,
by
rintro ⟨ab, H⟩ p (_ | ⟨_, hp⟩) q (_ | ⟨_, hq⟩)
· rfl
· exact ab.trans (H _ h _ hq)
· exact (ab.trans (H _ h _ hp)).symm
· exact H _ hp _ hq⟩
#align list.tfae_cons_of_mem List.tfae_cons_of_mem
theorem tfae_cons_cons {a b} {l : List Prop} : TFAE (a :: b :: l) ↔ (a ↔ b) ∧ TFAE (b :: l) :=
tfae_cons_of_mem (Mem.head _)
#align list.tfae_cons_cons List.tfae_cons_cons
@[simp]
| Mathlib/Data/List/TFAE.lean | 56 | 57 | theorem tfae_cons_self {a} {l : List Prop} : TFAE (a :: a :: l) ↔ TFAE (a :: l) := by |
simp [tfae_cons_cons]
|
import Mathlib.Topology.Algebra.Algebra
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Topology.UrysohnsLemma
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Analysis.NormedSpace.Units
import Mathlib.Topology.Algebra.Module.CharacterSpace
#align_import topology.continuous_function.ideals from "leanprover-community/mathlib"@"c2258f7bf086b17eac0929d635403780c39e239f"
open scoped NNReal
namespace ContinuousMap
open TopologicalSpace
section TopologicalRing
variable {X R : Type*} [TopologicalSpace X] [Semiring R]
variable [TopologicalSpace R] [TopologicalSemiring R]
variable (R)
def idealOfSet (s : Set X) : Ideal C(X, R) where
carrier := {f : C(X, R) | ∀ x ∈ sᶜ, f x = 0}
add_mem' {f g} hf hg x hx := by simp [hf x hx, hg x hx, coe_add, Pi.add_apply, add_zero]
zero_mem' _ _ := rfl
smul_mem' c f hf x hx := mul_zero (c x) ▸ congr_arg (fun y => c x * y) (hf x hx)
#align continuous_map.ideal_of_set ContinuousMap.idealOfSet
theorem idealOfSet_closed [T2Space R] (s : Set X) :
IsClosed (idealOfSet R s : Set C(X, R)) := by
simp only [idealOfSet, Submodule.coe_set_mk, Set.setOf_forall]
exact isClosed_iInter fun x => isClosed_iInter fun _ =>
isClosed_eq (continuous_eval_const x) continuous_const
#align continuous_map.ideal_of_set_closed ContinuousMap.idealOfSet_closed
variable {R}
theorem mem_idealOfSet {s : Set X} {f : C(X, R)} :
f ∈ idealOfSet R s ↔ ∀ ⦃x : X⦄, x ∈ sᶜ → f x = 0 := by
convert Iff.rfl
#align continuous_map.mem_ideal_of_set ContinuousMap.mem_idealOfSet
theorem not_mem_idealOfSet {s : Set X} {f : C(X, R)} : f ∉ idealOfSet R s ↔ ∃ x ∈ sᶜ, f x ≠ 0 := by
simp_rw [mem_idealOfSet]; push_neg; rfl
#align continuous_map.not_mem_ideal_of_set ContinuousMap.not_mem_idealOfSet
def setOfIdeal (I : Ideal C(X, R)) : Set X :=
{x : X | ∀ f ∈ I, (f : C(X, R)) x = 0}ᶜ
#align continuous_map.set_of_ideal ContinuousMap.setOfIdeal
theorem not_mem_setOfIdeal {I : Ideal C(X, R)} {x : X} :
x ∉ setOfIdeal I ↔ ∀ ⦃f : C(X, R)⦄, f ∈ I → f x = 0 := by
rw [← Set.mem_compl_iff, setOfIdeal, compl_compl, Set.mem_setOf]
#align continuous_map.not_mem_set_of_ideal ContinuousMap.not_mem_setOfIdeal
theorem mem_setOfIdeal {I : Ideal C(X, R)} {x : X} :
x ∈ setOfIdeal I ↔ ∃ f ∈ I, (f : C(X, R)) x ≠ 0 := by
simp_rw [setOfIdeal, Set.mem_compl_iff, Set.mem_setOf]; push_neg; rfl
#align continuous_map.mem_set_of_ideal ContinuousMap.mem_setOfIdeal
theorem setOfIdeal_open [T2Space R] (I : Ideal C(X, R)) : IsOpen (setOfIdeal I) := by
simp only [setOfIdeal, Set.setOf_forall, isOpen_compl_iff]
exact
isClosed_iInter fun f =>
isClosed_iInter fun _ => isClosed_eq (map_continuous f) continuous_const
#align continuous_map.set_of_ideal_open ContinuousMap.setOfIdeal_open
@[simps]
def opensOfIdeal [T2Space R] (I : Ideal C(X, R)) : Opens X :=
⟨setOfIdeal I, setOfIdeal_open I⟩
#align continuous_map.opens_of_ideal ContinuousMap.opensOfIdeal
@[simp]
theorem setOfTop_eq_univ [Nontrivial R] : setOfIdeal (⊤ : Ideal C(X, R)) = Set.univ :=
Set.univ_subset_iff.mp fun _ _ => mem_setOfIdeal.mpr ⟨1, Submodule.mem_top, one_ne_zero⟩
#align continuous_map.set_of_top_eq_univ ContinuousMap.setOfTop_eq_univ
@[simp]
theorem idealOfEmpty_eq_bot : idealOfSet R (∅ : Set X) = ⊥ :=
Ideal.ext fun f => by
simp only [mem_idealOfSet, Set.compl_empty, Set.mem_univ, forall_true_left, Ideal.mem_bot,
DFunLike.ext_iff, zero_apply]
#align continuous_map.ideal_of_empty_eq_bot ContinuousMap.idealOfEmpty_eq_bot
@[simp]
theorem mem_idealOfSet_compl_singleton (x : X) (f : C(X, R)) :
f ∈ idealOfSet R ({x}ᶜ : Set X) ↔ f x = 0 := by
simp only [mem_idealOfSet, compl_compl, Set.mem_singleton_iff, forall_eq]
#align continuous_map.mem_ideal_of_set_compl_singleton ContinuousMap.mem_idealOfSet_compl_singleton
variable (X R)
| Mathlib/Topology/ContinuousFunction/Ideals.lean | 161 | 168 | theorem ideal_gc : GaloisConnection (setOfIdeal : Ideal C(X, R) → Set X) (idealOfSet R) := by |
refine fun I s => ⟨fun h f hf => ?_, fun h x hx => ?_⟩
· by_contra h'
rcases not_mem_idealOfSet.mp h' with ⟨x, hx, hfx⟩
exact hfx (not_mem_setOfIdeal.mp (mt (@h x) hx) hf)
· obtain ⟨f, hf, hfx⟩ := mem_setOfIdeal.mp hx
by_contra hx'
exact not_mem_idealOfSet.mpr ⟨x, hx', hfx⟩ (h hf)
|
import Mathlib.Data.ENNReal.Real
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Topology.UniformSpace.Pi
import Mathlib.Topology.UniformSpace.UniformConvergence
import Mathlib.Topology.UniformSpace.UniformEmbedding
#align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328"
open Set Filter Classical
open scoped Uniformity Topology Filter NNReal ENNReal Pointwise
universe u v w
variable {α : Type u} {β : Type v} {X : Type*}
theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β)
(D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) :
U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } :=
HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩
#align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity
@[ext]
class EDist (α : Type*) where
edist : α → α → ℝ≥0∞
#align has_edist EDist
export EDist (edist)
def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0)
(edist_comm : ∀ x y : α, edist x y = edist y x)
(edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α :=
.ofFun edist edist_self edist_comm edist_triangle fun ε ε0 =>
⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ =>
(ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩
#align uniform_space_of_edist uniformSpaceOfEDist
-- the uniform structure is embedded in the emetric space structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where
edist_self : ∀ x : α, edist x x = 0
edist_comm : ∀ x y : α, edist x y = edist y x
edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z
toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle
uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl
#align pseudo_emetric_space PseudoEMetricSpace
attribute [instance] PseudoEMetricSpace.toUniformSpace
@[ext]
protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α}
(h : m.toEDist = m'.toEDist) : m = m' := by
cases' m with ed _ _ _ U hU
cases' m' with ed' _ _ _ U' hU'
congr 1
exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm)
variable [PseudoEMetricSpace α]
export PseudoEMetricSpace (edist_self edist_comm edist_triangle)
attribute [simp] edist_self
theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by
rw [edist_comm z]; apply edist_triangle
#align edist_triangle_left edist_triangle_left
theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by
rw [edist_comm y]; apply edist_triangle
#align edist_triangle_right edist_triangle_right
theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by
apply le_antisymm
· rw [← zero_add (edist y z), ← h]
apply edist_triangle
· rw [edist_comm] at h
rw [← zero_add (edist x z), ← h]
apply edist_triangle
#align edist_congr_right edist_congr_right
theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by
rw [edist_comm z x, edist_comm z y]
apply edist_congr_right h
#align edist_congr_left edist_congr_left
-- new theorem
theorem edist_congr {w x y z : α} (hl : edist w x = 0) (hr : edist y z = 0) :
edist w y = edist x z :=
(edist_congr_right hl).trans (edist_congr_left hr)
theorem edist_triangle4 (x y z t : α) : edist x t ≤ edist x y + edist y z + edist z t :=
calc
edist x t ≤ edist x z + edist z t := edist_triangle x z t
_ ≤ edist x y + edist y z + edist z t := add_le_add_right (edist_triangle x y z) _
#align edist_triangle4 edist_triangle4
theorem edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) :
edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, edist (f i) (f (i + 1)) := by
induction n, h using Nat.le_induction with
| base => rw [Finset.Ico_self, Finset.sum_empty, edist_self]
| succ n hle ihn =>
calc
edist (f m) (f (n + 1)) ≤ edist (f m) (f n) + edist (f n) (f (n + 1)) := edist_triangle _ _ _
_ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl
_ = ∑ i ∈ Finset.Ico m (n + 1), _ := by
{ rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp }
#align edist_le_Ico_sum_edist edist_le_Ico_sum_edist
theorem edist_le_range_sum_edist (f : ℕ → α) (n : ℕ) :
edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, edist (f i) (f (i + 1)) :=
Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_edist f (Nat.zero_le n)
#align edist_le_range_sum_edist edist_le_range_sum_edist
theorem edist_le_Ico_sum_of_edist_le {f : ℕ → α} {m n} (hmn : m ≤ n) {d : ℕ → ℝ≥0∞}
(hd : ∀ {k}, m ≤ k → k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, d i :=
le_trans (edist_le_Ico_sum_edist f hmn) <|
Finset.sum_le_sum fun _k hk => hd (Finset.mem_Ico.1 hk).1 (Finset.mem_Ico.1 hk).2
#align edist_le_Ico_sum_of_edist_le edist_le_Ico_sum_of_edist_le
theorem edist_le_range_sum_of_edist_le {f : ℕ → α} (n : ℕ) {d : ℕ → ℝ≥0∞}
(hd : ∀ {k}, k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, d i :=
Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_of_edist_le (zero_le n) fun _ => hd
#align edist_le_range_sum_of_edist_le edist_le_range_sum_of_edist_le
theorem uniformity_pseudoedist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } :=
PseudoEMetricSpace.uniformity_edist
#align uniformity_pseudoedist uniformity_pseudoedist
theorem uniformSpace_edist :
‹PseudoEMetricSpace α›.toUniformSpace =
uniformSpaceOfEDist edist edist_self edist_comm edist_triangle :=
UniformSpace.ext uniformity_pseudoedist
#align uniform_space_edist uniformSpace_edist
theorem uniformity_basis_edist :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } :=
(@uniformSpace_edist α _).symm ▸ UniformSpace.hasBasis_ofFun ⟨1, one_pos⟩ _ _ _ _ _
#align uniformity_basis_edist uniformity_basis_edist
theorem mem_uniformity_edist {s : Set (α × α)} :
s ∈ 𝓤 α ↔ ∃ ε > 0, ∀ {a b : α}, edist a b < ε → (a, b) ∈ s :=
uniformity_basis_edist.mem_uniformity_iff
#align mem_uniformity_edist mem_uniformity_edist
protected theorem EMetric.mk_uniformity_basis {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 < f x } := by
refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases hf ε ε₀ with ⟨i, hi, H⟩
exact ⟨i, hi, fun x hx => hε <| lt_of_lt_of_le hx.out H⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, H⟩
#align emetric.mk_uniformity_basis EMetric.mk_uniformity_basis
protected theorem EMetric.mk_uniformity_basis_le {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 ≤ f x } := by
refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases exists_between ε₀ with ⟨ε', hε'⟩
rcases hf ε' hε'.1 with ⟨i, hi, H⟩
exact ⟨i, hi, fun x hx => hε <| lt_of_le_of_lt (le_trans hx.out H) hε'.2⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, fun x hx => H (le_of_lt hx.out)⟩
#align emetric.mk_uniformity_basis_le EMetric.mk_uniformity_basis_le
theorem uniformity_basis_edist_le :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => id) fun ε ε₀ => ⟨ε, ε₀, le_refl ε⟩
#align uniformity_basis_edist_le uniformity_basis_edist_le
theorem uniformity_basis_edist' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 < ε } :=
EMetric.mk_uniformity_basis (fun _ => And.left) fun ε ε₀ =>
let ⟨δ, hδ⟩ := exists_between hε'
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩
#align uniformity_basis_edist' uniformity_basis_edist'
theorem uniformity_basis_edist_le' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => And.left) fun ε ε₀ =>
let ⟨δ, hδ⟩ := exists_between hε'
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩
#align uniformity_basis_edist_le' uniformity_basis_edist_le'
theorem uniformity_basis_edist_nnreal :
(𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } :=
EMetric.mk_uniformity_basis (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ =>
let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀
⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩
#align uniformity_basis_edist_nnreal uniformity_basis_edist_nnreal
theorem uniformity_basis_edist_nnreal_le :
(𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ =>
let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀
⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩
#align uniformity_basis_edist_nnreal_le uniformity_basis_edist_nnreal_le
theorem uniformity_basis_edist_inv_nat :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < (↑n)⁻¹ } :=
EMetric.mk_uniformity_basis (fun n _ ↦ ENNReal.inv_pos.2 <| ENNReal.natCast_ne_top n) fun _ε ε₀ ↦
let ⟨n, hn⟩ := ENNReal.exists_inv_nat_lt (ne_of_gt ε₀)
⟨n, trivial, le_of_lt hn⟩
#align uniformity_basis_edist_inv_nat uniformity_basis_edist_inv_nat
theorem uniformity_basis_edist_inv_two_pow :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < 2⁻¹ ^ n } :=
EMetric.mk_uniformity_basis (fun _ _ => ENNReal.pow_pos (ENNReal.inv_pos.2 ENNReal.two_ne_top) _)
fun _ε ε₀ =>
let ⟨n, hn⟩ := ENNReal.exists_inv_two_pow_lt (ne_of_gt ε₀)
⟨n, trivial, le_of_lt hn⟩
#align uniformity_basis_edist_inv_two_pow uniformity_basis_edist_inv_two_pow
theorem edist_mem_uniformity {ε : ℝ≥0∞} (ε0 : 0 < ε) : { p : α × α | edist p.1 p.2 < ε } ∈ 𝓤 α :=
mem_uniformity_edist.2 ⟨ε, ε0, id⟩
#align edist_mem_uniformity edist_mem_uniformity
open EMetric
def PseudoEMetricSpace.replaceUniformity {α} [U : UniformSpace α] (m : PseudoEMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : PseudoEMetricSpace α where
edist := @edist _ m.toEDist
edist_self := edist_self
edist_comm := edist_comm
edist_triangle := edist_triangle
toUniformSpace := U
uniformity_edist := H.trans (@PseudoEMetricSpace.uniformity_edist α _)
#align pseudo_emetric_space.replace_uniformity PseudoEMetricSpace.replaceUniformity
def PseudoEMetricSpace.induced {α β} (f : α → β) (m : PseudoEMetricSpace β) :
PseudoEMetricSpace α where
edist x y := edist (f x) (f y)
edist_self _ := edist_self _
edist_comm _ _ := edist_comm _ _
edist_triangle _ _ _ := edist_triangle _ _ _
toUniformSpace := UniformSpace.comap f m.toUniformSpace
uniformity_edist := (uniformity_basis_edist.comap (Prod.map f f)).eq_biInf
#align pseudo_emetric_space.induced PseudoEMetricSpace.induced
instance {α : Type*} {p : α → Prop} [PseudoEMetricSpace α] : PseudoEMetricSpace (Subtype p) :=
PseudoEMetricSpace.induced Subtype.val ‹_›
theorem Subtype.edist_eq {p : α → Prop} (x y : Subtype p) : edist x y = edist (x : α) y := rfl
#align subtype.edist_eq Subtype.edist_eq
instance Prod.pseudoEMetricSpaceMax [PseudoEMetricSpace β] : PseudoEMetricSpace (α × β) where
edist x y := edist x.1 y.1 ⊔ edist x.2 y.2
edist_self x := by simp
edist_comm x y := by simp [edist_comm]
edist_triangle x y z :=
max_le (le_trans (edist_triangle _ _ _) (add_le_add (le_max_left _ _) (le_max_left _ _)))
(le_trans (edist_triangle _ _ _) (add_le_add (le_max_right _ _) (le_max_right _ _)))
uniformity_edist := uniformity_prod.trans <| by
simp [PseudoEMetricSpace.uniformity_edist, ← iInf_inf_eq, setOf_and]
toUniformSpace := inferInstance
#align prod.pseudo_emetric_space_max Prod.pseudoEMetricSpaceMax
theorem Prod.edist_eq [PseudoEMetricSpace β] (x y : α × β) :
edist x y = max (edist x.1 y.1) (edist x.2 y.2) :=
rfl
#align prod.edist_eq Prod.edist_eq
namespace EMetric
variable {x y z : α} {ε ε₁ ε₂ : ℝ≥0∞} {s t : Set α}
def ball (x : α) (ε : ℝ≥0∞) : Set α :=
{ y | edist y x < ε }
#align emetric.ball EMetric.ball
@[simp] theorem mem_ball : y ∈ ball x ε ↔ edist y x < ε := Iff.rfl
#align emetric.mem_ball EMetric.mem_ball
theorem mem_ball' : y ∈ ball x ε ↔ edist x y < ε := by rw [edist_comm, mem_ball]
#align emetric.mem_ball' EMetric.mem_ball'
def closedBall (x : α) (ε : ℝ≥0∞) :=
{ y | edist y x ≤ ε }
#align emetric.closed_ball EMetric.closedBall
@[simp] theorem mem_closedBall : y ∈ closedBall x ε ↔ edist y x ≤ ε := Iff.rfl
#align emetric.mem_closed_ball EMetric.mem_closedBall
theorem mem_closedBall' : y ∈ closedBall x ε ↔ edist x y ≤ ε := by rw [edist_comm, mem_closedBall]
#align emetric.mem_closed_ball' EMetric.mem_closedBall'
@[simp]
theorem closedBall_top (x : α) : closedBall x ∞ = univ :=
eq_univ_of_forall fun _ => mem_setOf.2 le_top
#align emetric.closed_ball_top EMetric.closedBall_top
theorem ball_subset_closedBall : ball x ε ⊆ closedBall x ε := fun _ h => le_of_lt h.out
#align emetric.ball_subset_closed_ball EMetric.ball_subset_closedBall
theorem pos_of_mem_ball (hy : y ∈ ball x ε) : 0 < ε :=
lt_of_le_of_lt (zero_le _) hy
#align emetric.pos_of_mem_ball EMetric.pos_of_mem_ball
theorem mem_ball_self (h : 0 < ε) : x ∈ ball x ε := by
rwa [mem_ball, edist_self]
#align emetric.mem_ball_self EMetric.mem_ball_self
| Mathlib/Topology/EMetricSpace/Basic.lean | 579 | 580 | theorem mem_closedBall_self : x ∈ closedBall x ε := by |
rw [mem_closedBall, edist_self]; apply zero_le
|
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2
#align_import measure_theory.function.conditional_expectation.condexp_L1 from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
noncomputable section
open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap
open scoped NNReal ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α β F F' G G' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
-- G for a Lp add_subgroup
[NormedAddCommGroup G]
-- G' for integrals on a Lp add_subgroup
[NormedAddCommGroup G']
[NormedSpace ℝ G'] [CompleteSpace G']
section CondexpInd
variable {m m0 : MeasurableSpace α} {μ : Measure α} {s t : Set α} [NormedSpace ℝ G]
section CondexpIndL1Fin
set_option linter.uppercaseLean3 false
def condexpIndL1Fin (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hs : MeasurableSet s) (hμs : μ s ≠ ∞)
(x : G) : α →₁[μ] G :=
(integrable_condexpIndSMul hm hs hμs x).toL1 _
#align measure_theory.condexp_ind_L1_fin MeasureTheory.condexpIndL1Fin
theorem condexpIndL1Fin_ae_eq_condexpIndSMul (hm : m ≤ m0) [SigmaFinite (μ.trim hm)]
(hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x : G) :
condexpIndL1Fin hm hs hμs x =ᵐ[μ] condexpIndSMul hm hs hμs x :=
(integrable_condexpIndSMul hm hs hμs x).coeFn_toL1
#align measure_theory.condexp_ind_L1_fin_ae_eq_condexp_ind_smul MeasureTheory.condexpIndL1Fin_ae_eq_condexpIndSMul
variable {hm : m ≤ m0} [SigmaFinite (μ.trim hm)]
-- Porting note: this lemma fills the hole in `refine' (Memℒp.coeFn_toLp _) ...`
-- which is not automatically filled in Lean 4
private theorem q {hs : MeasurableSet s} {hμs : μ s ≠ ∞} {x : G} :
Memℒp (condexpIndSMul hm hs hμs x) 1 μ := by
rw [memℒp_one_iff_integrable]; apply integrable_condexpIndSMul
theorem condexpIndL1Fin_add (hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x y : G) :
condexpIndL1Fin hm hs hμs (x + y) =
condexpIndL1Fin hm hs hμs x + condexpIndL1Fin hm hs hμs y := by
ext1
refine (Memℒp.coeFn_toLp q).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_add _ _).symm
refine EventuallyEq.trans ?_
(EventuallyEq.add (Memℒp.coeFn_toLp q).symm (Memℒp.coeFn_toLp q).symm)
rw [condexpIndSMul_add]
refine (Lp.coeFn_add _ _).trans (eventually_of_forall fun a => ?_)
rfl
#align measure_theory.condexp_ind_L1_fin_add MeasureTheory.condexpIndL1Fin_add
| Mathlib/MeasureTheory/Function/ConditionalExpectation/CondexpL1.lean | 105 | 113 | theorem condexpIndL1Fin_smul (hs : MeasurableSet s) (hμs : μ s ≠ ∞) (c : ℝ) (x : G) :
condexpIndL1Fin hm hs hμs (c • x) = c • condexpIndL1Fin hm hs hμs x := by |
ext1
refine (Memℒp.coeFn_toLp q).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_smul _ _).symm
rw [condexpIndSMul_smul hs hμs c x]
refine (Lp.coeFn_smul _ _).trans ?_
refine (condexpIndL1Fin_ae_eq_condexpIndSMul hm hs hμs x).mono fun y hy => ?_
simp only [Pi.smul_apply, hy]
|
import Mathlib.Data.PFunctor.Multivariate.Basic
import Mathlib.Data.PFunctor.Univariate.M
#align_import data.pfunctor.multivariate.M from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d"
set_option linter.uppercaseLean3 false
universe u
open MvFunctor
namespace MvPFunctor
open TypeVec
variable {n : ℕ} (P : MvPFunctor.{u} (n + 1))
inductive M.Path : P.last.M → Fin2 n → Type u
| root (x : P.last.M)
(a : P.A)
(f : P.last.B a → P.last.M)
(h : PFunctor.M.dest x = ⟨a, f⟩)
(i : Fin2 n)
(c : P.drop.B a i) : M.Path x i
| child (x : P.last.M)
(a : P.A)
(f : P.last.B a → P.last.M)
(h : PFunctor.M.dest x = ⟨a, f⟩)
(j : P.last.B a)
(i : Fin2 n)
(c : M.Path (f j) i) : M.Path x i
#align mvpfunctor.M.path MvPFunctor.M.Path
instance M.Path.inhabited (x : P.last.M) {i} [Inhabited (P.drop.B x.head i)] :
Inhabited (M.Path P x i) :=
let a := PFunctor.M.head x
let f := PFunctor.M.children x
⟨M.Path.root _ a f
(PFunctor.M.casesOn' x
(r := fun _ => PFunctor.M.dest x = ⟨a, f⟩)
<| by
intros; simp [a, PFunctor.M.dest_mk, PFunctor.M.children_mk]; rfl)
_ default⟩
#align mvpfunctor.M.path.inhabited MvPFunctor.M.Path.inhabited
def mp : MvPFunctor n where
A := P.last.M
B := M.Path P
#align mvpfunctor.Mp MvPFunctor.mp
def M (α : TypeVec n) : Type _ :=
P.mp α
#align mvpfunctor.M MvPFunctor.M
instance mvfunctorM : MvFunctor P.M := by delta M; infer_instance
#align mvpfunctor.mvfunctor_M MvPFunctor.mvfunctorM
instance inhabitedM {α : TypeVec _} [I : Inhabited P.A] [∀ i : Fin2 n, Inhabited (α i)] :
Inhabited (P.M α) :=
@Obj.inhabited _ (mp P) _ (@PFunctor.M.inhabited P.last I) _
#align mvpfunctor.inhabited_M MvPFunctor.inhabitedM
def M.corecShape {β : Type u} (g₀ : β → P.A) (g₂ : ∀ b : β, P.last.B (g₀ b) → β) :
β → P.last.M :=
PFunctor.M.corec fun b => ⟨g₀ b, g₂ b⟩
#align mvpfunctor.M.corec_shape MvPFunctor.M.corecShape
def castDropB {a a' : P.A} (h : a = a') : P.drop.B a ⟹ P.drop.B a' := fun _i b => Eq.recOn h b
#align mvpfunctor.cast_dropB MvPFunctor.castDropB
def castLastB {a a' : P.A} (h : a = a') : P.last.B a → P.last.B a' := fun b => Eq.recOn h b
#align mvpfunctor.cast_lastB MvPFunctor.castLastB
def M.corecContents {α : TypeVec.{u} n}
{β : Type u}
(g₀ : β → P.A)
(g₁ : ∀ b : β, P.drop.B (g₀ b) ⟹ α)
(g₂ : ∀ b : β, P.last.B (g₀ b) → β)
(x : _)
(b : β)
(h: x = M.corecShape P g₀ g₂ b) :
M.Path P x ⟹ α
| _, M.Path.root x a f h' i c =>
have : a = g₀ b := by
rw [h, M.corecShape, PFunctor.M.dest_corec] at h'
cases h'
rfl
g₁ b i (P.castDropB this i c)
| _, M.Path.child x a f h' j i c =>
have h₀ : a = g₀ b := by
rw [h, M.corecShape, PFunctor.M.dest_corec] at h'
cases h'
rfl
have h₁ : f j = M.corecShape P g₀ g₂ (g₂ b (castLastB P h₀ j)) := by
rw [h, M.corecShape, PFunctor.M.dest_corec] at h'
cases h'
rfl
M.corecContents g₀ g₁ g₂ (f j) (g₂ b (P.castLastB h₀ j)) h₁ i c
#align mvpfunctor.M.corec_contents MvPFunctor.M.corecContents
def M.corec' {α : TypeVec n} {β : Type u} (g₀ : β → P.A) (g₁ : ∀ b : β, P.drop.B (g₀ b) ⟹ α)
(g₂ : ∀ b : β, P.last.B (g₀ b) → β) : β → P.M α := fun b =>
⟨M.corecShape P g₀ g₂ b, M.corecContents P g₀ g₁ g₂ _ _ rfl⟩
#align mvpfunctor.M.corec' MvPFunctor.M.corec'
def M.corec {α : TypeVec n} {β : Type u} (g : β → P (α.append1 β)) : β → P.M α :=
M.corec' P (fun b => (g b).fst) (fun b => dropFun (g b).snd) fun b => lastFun (g b).snd
#align mvpfunctor.M.corec MvPFunctor.M.corec
def M.pathDestLeft {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M}
(h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) : P.drop.B a ⟹ α := fun i c =>
f' i (M.Path.root x a f h i c)
#align mvpfunctor.M.path_dest_left MvPFunctor.M.pathDestLeft
def M.pathDestRight {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M}
(h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) :
∀ j : P.last.B a, M.Path P (f j) ⟹ α := fun j i c => f' i (M.Path.child x a f h j i c)
#align mvpfunctor.M.path_dest_right MvPFunctor.M.pathDestRight
def M.dest' {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M}
(h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) : P (α.append1 (P.M α)) :=
⟨a, splitFun (M.pathDestLeft P h f') fun x => ⟨f x, M.pathDestRight P h f' x⟩⟩
#align mvpfunctor.M.dest' MvPFunctor.M.dest'
def M.dest {α : TypeVec n} (x : P.M α) : P (α ::: P.M α) :=
M.dest' P (Sigma.eta <| PFunctor.M.dest x.fst).symm x.snd
#align mvpfunctor.M.dest MvPFunctor.M.dest
def M.mk {α : TypeVec n} : P (α.append1 (P.M α)) → P.M α :=
M.corec _ fun i => appendFun id (M.dest P) <$$> i
#align mvpfunctor.M.mk MvPFunctor.M.mk
theorem M.dest'_eq_dest' {α : TypeVec n} {x : P.last.M} {a₁ : P.A}
{f₁ : P.last.B a₁ → P.last.M} (h₁ : PFunctor.M.dest x = ⟨a₁, f₁⟩) {a₂ : P.A}
{f₂ : P.last.B a₂ → P.last.M} (h₂ : PFunctor.M.dest x = ⟨a₂, f₂⟩) (f' : M.Path P x ⟹ α) :
M.dest' P h₁ f' = M.dest' P h₂ f' := by cases h₁.symm.trans h₂; rfl
#align mvpfunctor.M.dest'_eq_dest' MvPFunctor.M.dest'_eq_dest'
theorem M.dest_eq_dest' {α : TypeVec n} {x : P.last.M} {a : P.A}
{f : P.last.B a → P.last.M} (h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) :
M.dest P ⟨x, f'⟩ = M.dest' P h f' :=
M.dest'_eq_dest' _ _ _ _
#align mvpfunctor.M.dest_eq_dest' MvPFunctor.M.dest_eq_dest'
theorem M.dest_corec' {α : TypeVec.{u} n} {β : Type u} (g₀ : β → P.A)
(g₁ : ∀ b : β, P.drop.B (g₀ b) ⟹ α) (g₂ : ∀ b : β, P.last.B (g₀ b) → β) (x : β) :
M.dest P (M.corec' P g₀ g₁ g₂ x) = ⟨g₀ x, splitFun (g₁ x) (M.corec' P g₀ g₁ g₂ ∘ g₂ x)⟩ :=
rfl
#align mvpfunctor.M.dest_corec' MvPFunctor.M.dest_corec'
| Mathlib/Data/PFunctor/Multivariate/M.lean | 213 | 220 | theorem M.dest_corec {α : TypeVec n} {β : Type u} (g : β → P (α.append1 β)) (x : β) :
M.dest P (M.corec P g x) = appendFun id (M.corec P g) <$$> g x := by |
trans
· apply M.dest_corec'
cases' g x with a f; dsimp
rw [MvPFunctor.map_eq]; congr
conv_rhs => rw [← split_dropFun_lastFun f, appendFun_comp_splitFun]
rfl
|
import Mathlib.Order.Lattice
#align_import order.min_max from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
universe u v
variable {α : Type u} {β : Type v}
attribute [simp] max_eq_left max_eq_right min_eq_left min_eq_right
section
variable [LinearOrder α] [LinearOrder β] {f : α → β} {s : Set α} {a b c d : α}
-- translate from lattices to linear orders (sup → max, inf → min)
@[simp]
theorem le_min_iff : c ≤ min a b ↔ c ≤ a ∧ c ≤ b :=
le_inf_iff
#align le_min_iff le_min_iff
@[simp]
theorem le_max_iff : a ≤ max b c ↔ a ≤ b ∨ a ≤ c :=
le_sup_iff
#align le_max_iff le_max_iff
@[simp]
theorem min_le_iff : min a b ≤ c ↔ a ≤ c ∨ b ≤ c :=
inf_le_iff
#align min_le_iff min_le_iff
@[simp]
theorem max_le_iff : max a b ≤ c ↔ a ≤ c ∧ b ≤ c :=
sup_le_iff
#align max_le_iff max_le_iff
@[simp]
theorem lt_min_iff : a < min b c ↔ a < b ∧ a < c :=
lt_inf_iff
#align lt_min_iff lt_min_iff
@[simp]
theorem lt_max_iff : a < max b c ↔ a < b ∨ a < c :=
lt_sup_iff
#align lt_max_iff lt_max_iff
@[simp]
theorem min_lt_iff : min a b < c ↔ a < c ∨ b < c :=
inf_lt_iff
#align min_lt_iff min_lt_iff
@[simp]
theorem max_lt_iff : max a b < c ↔ a < c ∧ b < c :=
sup_lt_iff
#align max_lt_iff max_lt_iff
@[gcongr]
theorem max_le_max : a ≤ c → b ≤ d → max a b ≤ max c d :=
sup_le_sup
#align max_le_max max_le_max
@[gcongr] theorem max_le_max_left (c) (h : a ≤ b) : max c a ≤ max c b := sup_le_sup_left h c
@[gcongr] theorem max_le_max_right (c) (h : a ≤ b) : max a c ≤ max b c := sup_le_sup_right h c
@[gcongr]
theorem min_le_min : a ≤ c → b ≤ d → min a b ≤ min c d :=
inf_le_inf
#align min_le_min min_le_min
@[gcongr] theorem min_le_min_left (c) (h : a ≤ b) : min c a ≤ min c b := inf_le_inf_left c h
@[gcongr] theorem min_le_min_right (c) (h : a ≤ b) : min a c ≤ min b c := inf_le_inf_right c h
theorem le_max_of_le_left : a ≤ b → a ≤ max b c :=
le_sup_of_le_left
#align le_max_of_le_left le_max_of_le_left
theorem le_max_of_le_right : a ≤ c → a ≤ max b c :=
le_sup_of_le_right
#align le_max_of_le_right le_max_of_le_right
theorem lt_max_of_lt_left (h : a < b) : a < max b c :=
h.trans_le (le_max_left b c)
#align lt_max_of_lt_left lt_max_of_lt_left
theorem lt_max_of_lt_right (h : a < c) : a < max b c :=
h.trans_le (le_max_right b c)
#align lt_max_of_lt_right lt_max_of_lt_right
theorem min_le_of_left_le : a ≤ c → min a b ≤ c :=
inf_le_of_left_le
#align min_le_of_left_le min_le_of_left_le
theorem min_le_of_right_le : b ≤ c → min a b ≤ c :=
inf_le_of_right_le
#align min_le_of_right_le min_le_of_right_le
theorem min_lt_of_left_lt (h : a < c) : min a b < c :=
(min_le_left a b).trans_lt h
#align min_lt_of_left_lt min_lt_of_left_lt
theorem min_lt_of_right_lt (h : b < c) : min a b < c :=
(min_le_right a b).trans_lt h
#align min_lt_of_right_lt min_lt_of_right_lt
lemma max_min_distrib_left (a b c : α) : max a (min b c) = min (max a b) (max a c) :=
sup_inf_left _ _ _
#align max_min_distrib_left max_min_distrib_left
lemma max_min_distrib_right (a b c : α) : max (min a b) c = min (max a c) (max b c) :=
sup_inf_right _ _ _
#align max_min_distrib_right max_min_distrib_right
lemma min_max_distrib_left (a b c : α) : min a (max b c) = max (min a b) (min a c) :=
inf_sup_left _ _ _
#align min_max_distrib_left min_max_distrib_left
lemma min_max_distrib_right (a b c : α) : min (max a b) c = max (min a c) (min b c) :=
inf_sup_right _ _ _
#align min_max_distrib_right min_max_distrib_right
theorem min_le_max : min a b ≤ max a b :=
le_trans (min_le_left a b) (le_max_left a b)
#align min_le_max min_le_max
@[simp]
theorem min_eq_left_iff : min a b = a ↔ a ≤ b :=
inf_eq_left
#align min_eq_left_iff min_eq_left_iff
@[simp]
theorem min_eq_right_iff : min a b = b ↔ b ≤ a :=
inf_eq_right
#align min_eq_right_iff min_eq_right_iff
@[simp]
theorem max_eq_left_iff : max a b = a ↔ b ≤ a :=
sup_eq_left
#align max_eq_left_iff max_eq_left_iff
@[simp]
theorem max_eq_right_iff : max a b = b ↔ a ≤ b :=
sup_eq_right
#align max_eq_right_iff max_eq_right_iff
theorem min_cases (a b : α) : min a b = a ∧ a ≤ b ∨ min a b = b ∧ b < a := by
by_cases h : a ≤ b
· left
exact ⟨min_eq_left h, h⟩
· right
exact ⟨min_eq_right (le_of_lt (not_le.mp h)), not_le.mp h⟩
#align min_cases min_cases
theorem max_cases (a b : α) : max a b = a ∧ b ≤ a ∨ max a b = b ∧ a < b :=
@min_cases αᵒᵈ _ a b
#align max_cases max_cases
theorem min_eq_iff : min a b = c ↔ a = c ∧ a ≤ b ∨ b = c ∧ b ≤ a := by
constructor
· intro h
refine Or.imp (fun h' => ?_) (fun h' => ?_) (le_total a b) <;> exact ⟨by simpa [h'] using h, h'⟩
· rintro (⟨rfl, h⟩ | ⟨rfl, h⟩) <;> simp [h]
#align min_eq_iff min_eq_iff
theorem max_eq_iff : max a b = c ↔ a = c ∧ b ≤ a ∨ b = c ∧ a ≤ b :=
@min_eq_iff αᵒᵈ _ a b c
#align max_eq_iff max_eq_iff
theorem min_lt_min_left_iff : min a c < min b c ↔ a < b ∧ a < c := by
simp_rw [lt_min_iff, min_lt_iff, or_iff_left (lt_irrefl _)]
exact and_congr_left fun h => or_iff_left_of_imp h.trans
#align min_lt_min_left_iff min_lt_min_left_iff
theorem min_lt_min_right_iff : min a b < min a c ↔ b < c ∧ b < a := by
simp_rw [min_comm a, min_lt_min_left_iff]
#align min_lt_min_right_iff min_lt_min_right_iff
theorem max_lt_max_left_iff : max a c < max b c ↔ a < b ∧ c < b :=
@min_lt_min_left_iff αᵒᵈ _ _ _ _
#align max_lt_max_left_iff max_lt_max_left_iff
theorem max_lt_max_right_iff : max a b < max a c ↔ b < c ∧ a < c :=
@min_lt_min_right_iff αᵒᵈ _ _ _ _
#align max_lt_max_right_iff max_lt_max_right_iff
instance max_idem : Std.IdempotentOp (α := α) max where
idempotent := by simp
#align max_idem max_idem
-- short-circuit type class inference
instance min_idem : Std.IdempotentOp (α := α) min where
idempotent := by simp
#align min_idem min_idem
-- short-circuit type class inference
theorem min_lt_max : min a b < max a b ↔ a ≠ b :=
inf_lt_sup
#align min_lt_max min_lt_max
-- Porting note: was `by simp [lt_max_iff, max_lt_iff, *]`
theorem max_lt_max (h₁ : a < c) (h₂ : b < d) : max a b < max c d :=
max_lt (lt_max_of_lt_left h₁) (lt_max_of_lt_right h₂)
#align max_lt_max max_lt_max
theorem min_lt_min (h₁ : a < c) (h₂ : b < d) : min a b < min c d :=
@max_lt_max αᵒᵈ _ _ _ _ _ h₁ h₂
#align min_lt_min min_lt_min
theorem min_right_comm (a b c : α) : min (min a b) c = min (min a c) b :=
right_comm min min_comm min_assoc a b c
#align min_right_comm min_right_comm
theorem Max.left_comm (a b c : α) : max a (max b c) = max b (max a c) :=
_root_.left_comm max max_comm max_assoc a b c
#align max.left_comm Max.left_comm
theorem Max.right_comm (a b c : α) : max (max a b) c = max (max a c) b :=
_root_.right_comm max max_comm max_assoc a b c
#align max.right_comm Max.right_comm
theorem MonotoneOn.map_max (hf : MonotoneOn f s) (ha : a ∈ s) (hb : b ∈ s) : f (max a b) =
max (f a) (f b) := by
rcases le_total a b with h | h <;>
simp only [max_eq_right, max_eq_left, hf ha hb, hf hb ha, h]
#align monotone_on.map_max MonotoneOn.map_max
theorem MonotoneOn.map_min (hf : MonotoneOn f s) (ha : a ∈ s) (hb : b ∈ s) : f (min a b) =
min (f a) (f b) := hf.dual.map_max ha hb
#align monotone_on.map_min MonotoneOn.map_min
theorem AntitoneOn.map_max (hf : AntitoneOn f s) (ha : a ∈ s) (hb : b ∈ s) : f (max a b) =
min (f a) (f b) := hf.dual_right.map_max ha hb
#align antitone_on.map_max AntitoneOn.map_max
theorem AntitoneOn.map_min (hf : AntitoneOn f s) (ha : a ∈ s) (hb : b ∈ s) : f (min a b) =
max (f a) (f b) := hf.dual.map_max ha hb
#align antitone_on.map_min AntitoneOn.map_min
| Mathlib/Order/MinMax.lean | 263 | 264 | theorem Monotone.map_max (hf : Monotone f) : f (max a b) = max (f a) (f b) := by |
rcases le_total a b with h | h <;> simp [h, hf h]
|
import Mathlib.Tactic.NormNum.Core
import Mathlib.Tactic.HaveI
import Mathlib.Data.Nat.Cast.Commute
import Mathlib.Algebra.Ring.Int
import Mathlib.Algebra.GroupWithZero.Invertible
import Mathlib.Tactic.ClearExclamation
import Mathlib.Data.Nat.Cast.Basic
set_option autoImplicit true
namespace Mathlib
open Lean hiding Rat mkRat
open Meta
namespace Meta.NormNum
open Qq
theorem IsInt.raw_refl (n : ℤ) : IsInt n n := ⟨rfl⟩
theorem isNat_zero (α) [AddMonoidWithOne α] : IsNat (Zero.zero : α) (nat_lit 0) :=
⟨Nat.cast_zero.symm⟩
@[norm_num Zero.zero] def evalZero : NormNumExt where eval {u α} e := do
let sα ← inferAddMonoidWithOne α
match e with
| ~q(Zero.zero) => return .isNat sα (mkRawNatLit 0) q(isNat_zero $α)
theorem isNat_one (α) [AddMonoidWithOne α] : IsNat (One.one : α) (nat_lit 1) := ⟨Nat.cast_one.symm⟩
@[norm_num One.one] def evalOne : NormNumExt where eval {u α} e := do
let sα ← inferAddMonoidWithOne α
match e with
| ~q(One.one) => return .isNat sα (mkRawNatLit 1) q(isNat_one $α)
theorem isNat_ofNat (α : Type u_1) [AddMonoidWithOne α] {a : α} {n : ℕ}
(h : n = a) : IsNat a n := ⟨h.symm⟩
@[norm_num OfNat.ofNat _] def evalOfNat : NormNumExt where eval {u α} e := do
let sα ← inferAddMonoidWithOne α
match e with
| ~q(@OfNat.ofNat _ $n $oα) =>
let n : Q(ℕ) ← whnf n
guard n.isRawNatLit
let ⟨a, (pa : Q($n = $e))⟩ ← mkOfNat α sα n
guard <|← isDefEq a e
return .isNat sα n q(isNat_ofNat $α $pa)
theorem isNat_intOfNat : {n n' : ℕ} → IsNat n n' → IsNat (Int.ofNat n) n'
| _, _, ⟨rfl⟩ => ⟨rfl⟩
@[norm_num Int.ofNat _] def evalIntOfNat : NormNumExt where eval {u α} e := do
let .app (.const ``Int.ofNat _) (n : Q(ℕ)) ← whnfR e | failure
haveI' : u =QL 0 := ⟨⟩; haveI' : $α =Q Int := ⟨⟩
let sℕ : Q(AddMonoidWithOne ℕ) := q(instAddMonoidWithOneNat)
let sℤ : Q(AddMonoidWithOne ℤ) := q(instAddMonoidWithOne)
let ⟨n', p⟩ ← deriveNat n sℕ
haveI' x : $e =Q Int.ofNat $n := ⟨⟩
return .isNat sℤ n' q(isNat_intOfNat $p)
theorem isNat_natAbs_pos : {n : ℤ} → {a : ℕ} → IsNat n a → IsNat n.natAbs a
| _, _, ⟨rfl⟩ => ⟨rfl⟩
theorem isNat_natAbs_neg : {n : ℤ} → {a : ℕ} → IsInt n (.negOfNat a) → IsNat n.natAbs a
| _, _, ⟨rfl⟩ => ⟨by simp⟩
@[norm_num Int.natAbs (_ : ℤ)] def evalIntNatAbs : NormNumExt where eval {u α} e := do
let .app (.const ``Int.natAbs _) (x : Q(ℤ)) ← whnfR e | failure
haveI' : u =QL 0 := ⟨⟩; haveI' : $α =Q ℕ := ⟨⟩
haveI' : $e =Q Int.natAbs $x := ⟨⟩
let sℕ : Q(AddMonoidWithOne ℕ) := q(instAddMonoidWithOneNat)
match ← derive (u := .zero) x with
| .isNat _ a p => assumeInstancesCommute; return .isNat sℕ a q(isNat_natAbs_pos $p)
| .isNegNat _ a p => assumeInstancesCommute; return .isNat sℕ a q(isNat_natAbs_neg $p)
| _ => failure
| Mathlib/Tactic/NormNum/Basic.lean | 104 | 105 | theorem isNat_natCast {R} [AddMonoidWithOne R] (n m : ℕ) :
IsNat n m → IsNat (n : R) m := by | rintro ⟨⟨⟩⟩; exact ⟨rfl⟩
|
import Mathlib.Algebra.Polynomial.Degree.CardPowDegree
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.NumberTheory.ClassNumber.AdmissibleAbsoluteValue
import Mathlib.RingTheory.Ideal.LocalRing
#align_import number_theory.class_number.admissible_card_pow_degree from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
namespace Polynomial
open Polynomial
open AbsoluteValue Real
variable {Fq : Type*} [Fintype Fq]
theorem exists_eq_polynomial [Semiring Fq] {d : ℕ} {m : ℕ} (hm : Fintype.card Fq ^ d ≤ m)
(b : Fq[X]) (hb : natDegree b ≤ d) (A : Fin m.succ → Fq[X])
(hA : ∀ i, degree (A i) < degree b) : ∃ i₀ i₁, i₀ ≠ i₁ ∧ A i₁ = A i₀ := by
-- Since there are > q^d elements of A, and only q^d choices for the highest `d` coefficients,
-- there must be two elements of A with the same coefficients at
-- `0`, ... `degree b - 1` ≤ `d - 1`.
-- In other words, the following map is not injective:
set f : Fin m.succ → Fin d → Fq := fun i j => (A i).coeff j
have : Fintype.card (Fin d → Fq) < Fintype.card (Fin m.succ) := by
simpa using lt_of_le_of_lt hm (Nat.lt_succ_self m)
-- Therefore, the differences have all coefficients higher than `deg b - d` equal.
obtain ⟨i₀, i₁, i_ne, i_eq⟩ := Fintype.exists_ne_map_eq_of_card_lt f this
use i₀, i₁, i_ne
ext j
-- The coefficients higher than `deg b` are the same because they are equal to 0.
by_cases hbj : degree b ≤ j
· rw [coeff_eq_zero_of_degree_lt (lt_of_lt_of_le (hA _) hbj),
coeff_eq_zero_of_degree_lt (lt_of_lt_of_le (hA _) hbj)]
-- So we only need to look for the coefficients between `0` and `deg b`.
rw [not_le] at hbj
apply congr_fun i_eq.symm ⟨j, _⟩
exact lt_of_lt_of_le (coe_lt_degree.mp hbj) hb
#align polynomial.exists_eq_polynomial Polynomial.exists_eq_polynomial
| Mathlib/NumberTheory/ClassNumber/AdmissibleCardPowDegree.lean | 63 | 98 | theorem exists_approx_polynomial_aux [Ring Fq] {d : ℕ} {m : ℕ} (hm : Fintype.card Fq ^ d ≤ m)
(b : Fq[X]) (A : Fin m.succ → Fq[X]) (hA : ∀ i, degree (A i) < degree b) :
∃ i₀ i₁, i₀ ≠ i₁ ∧ degree (A i₁ - A i₀) < ↑(natDegree b - d) := by |
have hb : b ≠ 0 := by
rintro rfl
specialize hA 0
rw [degree_zero] at hA
exact not_lt_of_le bot_le hA
-- Since there are > q^d elements of A, and only q^d choices for the highest `d` coefficients,
-- there must be two elements of A with the same coefficients at
-- `degree b - 1`, ... `degree b - d`.
-- In other words, the following map is not injective:
set f : Fin m.succ → Fin d → Fq := fun i j => (A i).coeff (natDegree b - j.succ)
have : Fintype.card (Fin d → Fq) < Fintype.card (Fin m.succ) := by
simpa using lt_of_le_of_lt hm (Nat.lt_succ_self m)
-- Therefore, the differences have all coefficients higher than `deg b - d` equal.
obtain ⟨i₀, i₁, i_ne, i_eq⟩ := Fintype.exists_ne_map_eq_of_card_lt f this
use i₀, i₁, i_ne
refine (degree_lt_iff_coeff_zero _ _).mpr fun j hj => ?_
-- The coefficients higher than `deg b` are the same because they are equal to 0.
by_cases hbj : degree b ≤ j
· refine coeff_eq_zero_of_degree_lt (lt_of_lt_of_le ?_ hbj)
exact lt_of_le_of_lt (degree_sub_le _ _) (max_lt (hA _) (hA _))
-- So we only need to look for the coefficients between `deg b - d` and `deg b`.
rw [coeff_sub, sub_eq_zero]
rw [not_le, degree_eq_natDegree hb] at hbj
have hbj : j < natDegree b := (@WithBot.coe_lt_coe _ _ _).mp hbj
have hj : natDegree b - j.succ < d := by
by_cases hd : natDegree b < d
· exact lt_of_le_of_lt tsub_le_self hd
· rw [not_lt] at hd
have := lt_of_le_of_lt hj (Nat.lt_succ_self j)
rwa [tsub_lt_iff_tsub_lt hd hbj] at this
have : j = b.natDegree - (natDegree b - j.succ).succ := by
rw [← Nat.succ_sub hbj, Nat.succ_sub_succ, tsub_tsub_cancel_of_le hbj.le]
convert congr_fun i_eq.symm ⟨natDegree b - j.succ, hj⟩
|
import Mathlib.Algebra.MvPolynomial.PDeriv
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.LinearIndependent
import Mathlib.RingTheory.Polynomial.Pochhammer
#align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Nat (choose)
open Polynomial (X)
open scoped Polynomial
variable (R : Type*) [CommRing R]
def bernsteinPolynomial (n ν : ℕ) : R[X] :=
(choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν)
#align bernstein_polynomial bernsteinPolynomial
example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by
norm_num [bernsteinPolynomial, choose]
ring
namespace bernsteinPolynomial
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
#align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt
section
variable {R} {S : Type*} [CommRing S]
@[simp]
theorem map (f : R →+* S) (n ν : ℕ) :
(bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial]
#align bernstein_polynomial.map bernsteinPolynomial.map
end
| Mathlib/RingTheory/Polynomial/Bernstein.lean | 76 | 78 | theorem flip (n ν : ℕ) (h : ν ≤ n) :
(bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by |
simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm]
|
import Mathlib.Init.Core
import Mathlib.LinearAlgebra.AffineSpace.Basis
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import linear_algebra.affine_space.finite_dimensional from "leanprover-community/mathlib"@"67e606eaea14c7854bdc556bd53d98aefdf76ec0"
noncomputable section
open Affine
section AffineSpace'
variable (k : Type*) {V : Type*} {P : Type*}
variable {ι : Type*}
open AffineSubspace FiniteDimensional Module
variable [DivisionRing k] [AddCommGroup V] [Module k V] [AffineSpace V P]
theorem finiteDimensional_vectorSpan_of_finite {s : Set P} (h : Set.Finite s) :
FiniteDimensional k (vectorSpan k s) :=
span_of_finite k <| h.vsub h
#align finite_dimensional_vector_span_of_finite finiteDimensional_vectorSpan_of_finite
instance finiteDimensional_vectorSpan_range [Finite ι] (p : ι → P) :
FiniteDimensional k (vectorSpan k (Set.range p)) :=
finiteDimensional_vectorSpan_of_finite k (Set.finite_range _)
#align finite_dimensional_vector_span_range finiteDimensional_vectorSpan_range
instance finiteDimensional_vectorSpan_image_of_finite [Finite ι] (p : ι → P) (s : Set ι) :
FiniteDimensional k (vectorSpan k (p '' s)) :=
finiteDimensional_vectorSpan_of_finite k (Set.toFinite _)
#align finite_dimensional_vector_span_image_of_finite finiteDimensional_vectorSpan_image_of_finite
theorem finiteDimensional_direction_affineSpan_of_finite {s : Set P} (h : Set.Finite s) :
FiniteDimensional k (affineSpan k s).direction :=
(direction_affineSpan k s).symm ▸ finiteDimensional_vectorSpan_of_finite k h
#align finite_dimensional_direction_affine_span_of_finite finiteDimensional_direction_affineSpan_of_finite
instance finiteDimensional_direction_affineSpan_range [Finite ι] (p : ι → P) :
FiniteDimensional k (affineSpan k (Set.range p)).direction :=
finiteDimensional_direction_affineSpan_of_finite k (Set.finite_range _)
#align finite_dimensional_direction_affine_span_range finiteDimensional_direction_affineSpan_range
instance finiteDimensional_direction_affineSpan_image_of_finite [Finite ι] (p : ι → P) (s : Set ι) :
FiniteDimensional k (affineSpan k (p '' s)).direction :=
finiteDimensional_direction_affineSpan_of_finite k (Set.toFinite _)
#align finite_dimensional_direction_affine_span_image_of_finite finiteDimensional_direction_affineSpan_image_of_finite
theorem finite_of_fin_dim_affineIndependent [FiniteDimensional k V] {p : ι → P}
(hi : AffineIndependent k p) : Finite ι := by
nontriviality ι; inhabit ι
rw [affineIndependent_iff_linearIndependent_vsub k p default] at hi
letI : IsNoetherian k V := IsNoetherian.iff_fg.2 inferInstance
exact
(Set.finite_singleton default).finite_of_compl (Set.finite_coe_iff.1 hi.finite_of_isNoetherian)
#align finite_of_fin_dim_affine_independent finite_of_fin_dim_affineIndependent
theorem finite_set_of_fin_dim_affineIndependent [FiniteDimensional k V] {s : Set ι} {f : s → P}
(hi : AffineIndependent k f) : s.Finite :=
@Set.toFinite _ s (finite_of_fin_dim_affineIndependent k hi)
#align finite_set_of_fin_dim_affine_independent finite_set_of_fin_dim_affineIndependent
variable {k}
theorem AffineIndependent.finrank_vectorSpan_image_finset [DecidableEq P]
{p : ι → P} (hi : AffineIndependent k p) {s : Finset ι} {n : ℕ} (hc : Finset.card s = n + 1) :
finrank k (vectorSpan k (s.image p : Set P)) = n := by
classical
have hi' := hi.range.mono (Set.image_subset_range p ↑s)
have hc' : (s.image p).card = n + 1 := by rwa [s.card_image_of_injective hi.injective]
have hn : (s.image p).Nonempty := by simp [hc', ← Finset.card_pos]
rcases hn with ⟨p₁, hp₁⟩
have hp₁' : p₁ ∈ p '' s := by simpa using hp₁
rw [affineIndependent_set_iff_linearIndependent_vsub k hp₁', ← Finset.coe_singleton,
← Finset.coe_image, ← Finset.coe_sdiff, Finset.sdiff_singleton_eq_erase, ← Finset.coe_image]
at hi'
have hc : (Finset.image (fun p : P => p -ᵥ p₁) ((Finset.image p s).erase p₁)).card = n := by
rw [Finset.card_image_of_injective _ (vsub_left_injective _), Finset.card_erase_of_mem hp₁]
exact Nat.pred_eq_of_eq_succ hc'
rwa [vectorSpan_eq_span_vsub_finset_right_ne k hp₁, finrank_span_finset_eq_card, hc]
#align affine_independent.finrank_vector_span_image_finset AffineIndependent.finrank_vectorSpan_image_finset
| Mathlib/LinearAlgebra/AffineSpace/FiniteDimensional.lean | 120 | 125 | theorem AffineIndependent.finrank_vectorSpan [Fintype ι] {p : ι → P} (hi : AffineIndependent k p)
{n : ℕ} (hc : Fintype.card ι = n + 1) : finrank k (vectorSpan k (Set.range p)) = n := by |
classical
rw [← Finset.card_univ] at hc
rw [← Set.image_univ, ← Finset.coe_univ, ← Finset.coe_image]
exact hi.finrank_vectorSpan_image_finset hc
|
import Mathlib.Analysis.Calculus.FDeriv.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
#align_import analysis.calculus.deriv.basic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal NNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) :=
HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L
#align has_deriv_at_filter HasDerivAtFilter
def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝[s] x)
#align has_deriv_within_at HasDerivWithinAt
def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝 x)
#align has_deriv_at HasDerivAt
def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x
#align has_strict_deriv_at HasStrictDerivAt
def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) :=
fderivWithin 𝕜 f s x 1
#align deriv_within derivWithin
def deriv (f : 𝕜 → F) (x : 𝕜) :=
fderiv 𝕜 f x 1
#align deriv deriv
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 161 | 162 | theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by | simp [HasDerivAtFilter]
|
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
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 _ ‹_›
theorem lmarginal_update_of_mem {i : δ} (hi : i ∈ s)
(f : (∀ i, π i) → ℝ≥0∞) (x : ∀ i, π i) (y : π i) :
(∫⋯∫⁻_s, f ∂μ) (Function.update x i y) = (∫⋯∫⁻_s, f ∂μ) x := by
apply lmarginal_congr
intro j hj
have : j ≠ i := by rintro rfl; exact hj hi
apply update_noteq this
theorem lmarginal_union (f : (∀ i, π i) → ℝ≥0∞) (hf : Measurable f)
(hst : Disjoint s t) : ∫⋯∫⁻_s ∪ t, f ∂μ = ∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ := by
ext1 x
let e := MeasurableEquiv.piFinsetUnion π hst
calc (∫⋯∫⁻_s ∪ t, f ∂μ) x
= ∫⁻ (y : (i : ↥(s ∪ t)) → π i), f (updateFinset x (s ∪ t) y)
∂.pi fun i' : ↥(s ∪ t) ↦ μ i' := rfl
_ = ∫⁻ (y : ((i : s) → π i) × ((j : t) → π j)), f (updateFinset x (s ∪ t) _)
∂(Measure.pi fun i : s ↦ μ i).prod (.pi fun j : t ↦ μ j) := by
rw [measurePreserving_piFinsetUnion hst μ |>.lintegral_map_equiv]
_ = ∫⁻ (y : (i : s) → π i), ∫⁻ (z : (j : t) → π j), f (updateFinset x (s ∪ t) (e (y, z)))
∂.pi fun j : t ↦ μ j ∂.pi fun i : s ↦ μ i := by
apply lintegral_prod
apply Measurable.aemeasurable
exact hf.comp <| measurable_updateFinset.comp e.measurable
_ = (∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ) x := by
simp_rw [lmarginal, updateFinset_updateFinset hst]
rfl
theorem lmarginal_union' (f : (∀ i, π i) → ℝ≥0∞) (hf : Measurable f) {s t : Finset δ}
(hst : Disjoint s t) : ∫⋯∫⁻_s ∪ t, f ∂μ = ∫⋯∫⁻_t, ∫⋯∫⁻_s, f ∂μ ∂μ := by
rw [Finset.union_comm, lmarginal_union μ f hf hst.symm]
variable {μ}
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem lmarginal_singleton (f : (∀ i, π i) → ℝ≥0∞) (i : δ) :
∫⋯∫⁻_{i}, f ∂μ = fun x => ∫⁻ xᵢ, f (Function.update x i xᵢ) ∂μ i := by
let α : Type _ := ({i} : Finset δ)
let e := (MeasurableEquiv.piUnique fun j : α ↦ π j).symm
ext1 x
calc (∫⋯∫⁻_{i}, f ∂μ) x
= ∫⁻ (y : π (default : α)), f (updateFinset x {i} (e y)) ∂μ (default : α) := by
simp_rw [lmarginal, measurePreserving_piUnique (fun j : ({i} : Finset δ) ↦ μ j) |>.symm _
|>.lintegral_map_equiv]
_ = ∫⁻ xᵢ, f (Function.update x i xᵢ) ∂μ i := by simp [update_eq_updateFinset]; rfl
| Mathlib/MeasureTheory/Integral/Marginal.lean | 157 | 161 | theorem lmarginal_insert (f : (∀ i, π i) → ℝ≥0∞) (hf : Measurable f) {i : δ}
(hi : i ∉ s) (x : ∀ i, π i) :
(∫⋯∫⁻_insert i s, f ∂μ) x = ∫⁻ xᵢ, (∫⋯∫⁻_s, f ∂μ) (Function.update x i xᵢ) ∂μ i := by |
rw [Finset.insert_eq, lmarginal_union μ f hf (Finset.disjoint_singleton_left.mpr hi),
lmarginal_singleton]
|
import Mathlib.Analysis.Calculus.FDeriv.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
#align_import analysis.calculus.deriv.basic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal NNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) :=
HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L
#align has_deriv_at_filter HasDerivAtFilter
def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝[s] x)
#align has_deriv_within_at HasDerivWithinAt
def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝 x)
#align has_deriv_at HasDerivAt
def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x
#align has_strict_deriv_at HasStrictDerivAt
def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) :=
fderivWithin 𝕜 f s x 1
#align deriv_within derivWithin
def deriv (f : 𝕜 → F) (x : 𝕜) :=
fderiv 𝕜 f x 1
#align deriv deriv
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by simp [HasDerivAtFilter]
#align has_fderiv_at_filter_iff_has_deriv_at_filter hasFDerivAtFilter_iff_hasDerivAtFilter
theorem HasFDerivAtFilter.hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L → HasDerivAtFilter f (f' 1) x L :=
hasFDerivAtFilter_iff_hasDerivAtFilter.mp
#align has_fderiv_at_filter.has_deriv_at_filter HasFDerivAtFilter.hasDerivAtFilter
theorem hasFDerivWithinAt_iff_hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x ↔ HasDerivWithinAt f (f' 1) s x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
#align has_fderiv_within_at_iff_has_deriv_within_at hasFDerivWithinAt_iff_hasDerivWithinAt
theorem hasDerivWithinAt_iff_hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x ↔ HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
Iff.rfl
#align has_deriv_within_at_iff_has_fderiv_within_at hasDerivWithinAt_iff_hasFDerivWithinAt
theorem HasFDerivWithinAt.hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x → HasDerivWithinAt f (f' 1) s x :=
hasFDerivWithinAt_iff_hasDerivWithinAt.mp
#align has_fderiv_within_at.has_deriv_within_at HasFDerivWithinAt.hasDerivWithinAt
theorem HasDerivWithinAt.hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x → HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
hasDerivWithinAt_iff_hasFDerivWithinAt.mp
#align has_deriv_within_at.has_fderiv_within_at HasDerivWithinAt.hasFDerivWithinAt
theorem hasFDerivAt_iff_hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x ↔ HasDerivAt f (f' 1) x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
#align has_fderiv_at_iff_has_deriv_at hasFDerivAt_iff_hasDerivAt
theorem HasFDerivAt.hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x → HasDerivAt f (f' 1) x :=
hasFDerivAt_iff_hasDerivAt.mp
#align has_fderiv_at.has_deriv_at HasFDerivAt.hasDerivAt
theorem hasStrictFDerivAt_iff_hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x ↔ HasStrictDerivAt f (f' 1) x := by
simp [HasStrictDerivAt, HasStrictFDerivAt]
#align has_strict_fderiv_at_iff_has_strict_deriv_at hasStrictFDerivAt_iff_hasStrictDerivAt
protected theorem HasStrictFDerivAt.hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x → HasStrictDerivAt f (f' 1) x :=
hasStrictFDerivAt_iff_hasStrictDerivAt.mp
#align has_strict_fderiv_at.has_strict_deriv_at HasStrictFDerivAt.hasStrictDerivAt
theorem hasStrictDerivAt_iff_hasStrictFDerivAt :
HasStrictDerivAt f f' x ↔ HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
#align has_strict_deriv_at_iff_has_strict_fderiv_at hasStrictDerivAt_iff_hasStrictFDerivAt
alias ⟨HasStrictDerivAt.hasStrictFDerivAt, _⟩ := hasStrictDerivAt_iff_hasStrictFDerivAt
#align has_strict_deriv_at.has_strict_fderiv_at HasStrictDerivAt.hasStrictFDerivAt
theorem hasDerivAt_iff_hasFDerivAt {f' : F} :
HasDerivAt f f' x ↔ HasFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
#align has_deriv_at_iff_has_fderiv_at hasDerivAt_iff_hasFDerivAt
alias ⟨HasDerivAt.hasFDerivAt, _⟩ := hasDerivAt_iff_hasFDerivAt
#align has_deriv_at.has_fderiv_at HasDerivAt.hasFDerivAt
theorem derivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) :
derivWithin f s x = 0 := by
unfold derivWithin
rw [fderivWithin_zero_of_not_differentiableWithinAt h]
simp
#align deriv_within_zero_of_not_differentiable_within_at derivWithin_zero_of_not_differentiableWithinAt
theorem derivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_isolated h, ContinuousLinearMap.zero_apply]
theorem derivWithin_zero_of_nmem_closure (h : x ∉ closure s) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_nmem_closure h, ContinuousLinearMap.zero_apply]
theorem differentiableWithinAt_of_derivWithin_ne_zero (h : derivWithin f s x ≠ 0) :
DifferentiableWithinAt 𝕜 f s x :=
not_imp_comm.1 derivWithin_zero_of_not_differentiableWithinAt h
#align differentiable_within_at_of_deriv_within_ne_zero differentiableWithinAt_of_derivWithin_ne_zero
theorem deriv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : deriv f x = 0 := by
unfold deriv
rw [fderiv_zero_of_not_differentiableAt h]
simp
#align deriv_zero_of_not_differentiable_at deriv_zero_of_not_differentiableAt
theorem differentiableAt_of_deriv_ne_zero (h : deriv f x ≠ 0) : DifferentiableAt 𝕜 f x :=
not_imp_comm.1 deriv_zero_of_not_differentiableAt h
#align differentiable_at_of_deriv_ne_zero differentiableAt_of_deriv_ne_zero
theorem UniqueDiffWithinAt.eq_deriv (s : Set 𝕜) (H : UniqueDiffWithinAt 𝕜 s x)
(h : HasDerivWithinAt f f' s x) (h₁ : HasDerivWithinAt f f₁' s x) : f' = f₁' :=
smulRight_one_eq_iff.mp <| UniqueDiffWithinAt.eq H h h₁
#align unique_diff_within_at.eq_deriv UniqueDiffWithinAt.eq_deriv
theorem hasDerivAtFilter_iff_isLittleO :
HasDerivAtFilter f f' x L ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[L] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_at_filter_iff_is_o hasDerivAtFilter_iff_isLittleO
theorem hasDerivAtFilter_iff_tendsto :
HasDerivAtFilter f f' x L ↔
Tendsto (fun x' : 𝕜 => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) L (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_at_filter_iff_tendsto hasDerivAtFilter_iff_tendsto
theorem hasDerivWithinAt_iff_isLittleO :
HasDerivWithinAt f f' s x ↔
(fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝[s] x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_within_at_iff_is_o hasDerivWithinAt_iff_isLittleO
theorem hasDerivWithinAt_iff_tendsto :
HasDerivWithinAt f f' s x ↔
Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝[s] x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_within_at_iff_tendsto hasDerivWithinAt_iff_tendsto
theorem hasDerivAt_iff_isLittleO :
HasDerivAt f f' x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝 x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_at_iff_is_o hasDerivAt_iff_isLittleO
theorem hasDerivAt_iff_tendsto :
HasDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝 x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_at_iff_tendsto hasDerivAt_iff_tendsto
theorem HasDerivAtFilter.isBigO_sub (h : HasDerivAtFilter f f' x L) :
(fun x' => f x' - f x) =O[L] fun x' => x' - x :=
HasFDerivAtFilter.isBigO_sub h
set_option linter.uppercaseLean3 false in
#align has_deriv_at_filter.is_O_sub HasDerivAtFilter.isBigO_sub
nonrec theorem HasDerivAtFilter.isBigO_sub_rev (hf : HasDerivAtFilter f f' x L) (hf' : f' ≠ 0) :
(fun x' => x' - x) =O[L] fun x' => f x' - f x :=
suffices AntilipschitzWith ‖f'‖₊⁻¹ (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') from hf.isBigO_sub_rev this
AddMonoidHomClass.antilipschitz_of_bound (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') fun x => by
simp [norm_smul, ← div_eq_inv_mul, mul_div_cancel_right₀ _ (mt norm_eq_zero.1 hf')]
set_option linter.uppercaseLean3 false in
#align has_deriv_at_filter.is_O_sub_rev HasDerivAtFilter.isBigO_sub_rev
theorem HasStrictDerivAt.hasDerivAt (h : HasStrictDerivAt f f' x) : HasDerivAt f f' x :=
h.hasFDerivAt
#align has_strict_deriv_at.has_deriv_at HasStrictDerivAt.hasDerivAt
theorem hasDerivWithinAt_congr_set' {s t : Set 𝕜} (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set' y h
#align has_deriv_within_at_congr_set' hasDerivWithinAt_congr_set'
theorem hasDerivWithinAt_congr_set {s t : Set 𝕜} (h : s =ᶠ[𝓝 x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set h
#align has_deriv_within_at_congr_set hasDerivWithinAt_congr_set
alias ⟨HasDerivWithinAt.congr_set, _⟩ := hasDerivWithinAt_congr_set
#align has_deriv_within_at.congr_set HasDerivWithinAt.congr_set
@[simp]
theorem hasDerivWithinAt_diff_singleton :
HasDerivWithinAt f f' (s \ {x}) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_diff_singleton _
#align has_deriv_within_at_diff_singleton hasDerivWithinAt_diff_singleton
@[simp]
theorem hasDerivWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Ioi x) x ↔ HasDerivWithinAt f f' (Ici x) x := by
rw [← Ici_diff_left, hasDerivWithinAt_diff_singleton]
#align has_deriv_within_at_Ioi_iff_Ici hasDerivWithinAt_Ioi_iff_Ici
alias ⟨HasDerivWithinAt.Ici_of_Ioi, HasDerivWithinAt.Ioi_of_Ici⟩ := hasDerivWithinAt_Ioi_iff_Ici
#align has_deriv_within_at.Ici_of_Ioi HasDerivWithinAt.Ici_of_Ioi
#align has_deriv_within_at.Ioi_of_Ici HasDerivWithinAt.Ioi_of_Ici
@[simp]
theorem hasDerivWithinAt_Iio_iff_Iic [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Iio x) x ↔ HasDerivWithinAt f f' (Iic x) x := by
rw [← Iic_diff_right, hasDerivWithinAt_diff_singleton]
#align has_deriv_within_at_Iio_iff_Iic hasDerivWithinAt_Iio_iff_Iic
alias ⟨HasDerivWithinAt.Iic_of_Iio, HasDerivWithinAt.Iio_of_Iic⟩ := hasDerivWithinAt_Iio_iff_Iic
#align has_deriv_within_at.Iic_of_Iio HasDerivWithinAt.Iic_of_Iio
#align has_deriv_within_at.Iio_of_Iic HasDerivWithinAt.Iio_of_Iic
theorem HasDerivWithinAt.Ioi_iff_Ioo [LinearOrder 𝕜] [OrderClosedTopology 𝕜] {x y : 𝕜} (h : x < y) :
HasDerivWithinAt f f' (Ioo x y) x ↔ HasDerivWithinAt f f' (Ioi x) x :=
hasFDerivWithinAt_inter <| Iio_mem_nhds h
#align has_deriv_within_at.Ioi_iff_Ioo HasDerivWithinAt.Ioi_iff_Ioo
alias ⟨HasDerivWithinAt.Ioi_of_Ioo, HasDerivWithinAt.Ioo_of_Ioi⟩ := HasDerivWithinAt.Ioi_iff_Ioo
#align has_deriv_within_at.Ioi_of_Ioo HasDerivWithinAt.Ioi_of_Ioo
#align has_deriv_within_at.Ioo_of_Ioi HasDerivWithinAt.Ioo_of_Ioi
theorem hasDerivAt_iff_isLittleO_nhds_zero :
HasDerivAt f f' x ↔ (fun h => f (x + h) - f x - h • f') =o[𝓝 0] fun h => h :=
hasFDerivAt_iff_isLittleO_nhds_zero
#align has_deriv_at_iff_is_o_nhds_zero hasDerivAt_iff_isLittleO_nhds_zero
theorem HasDerivAtFilter.mono (h : HasDerivAtFilter f f' x L₂) (hst : L₁ ≤ L₂) :
HasDerivAtFilter f f' x L₁ :=
HasFDerivAtFilter.mono h hst
#align has_deriv_at_filter.mono HasDerivAtFilter.mono
theorem HasDerivWithinAt.mono (h : HasDerivWithinAt f f' t x) (hst : s ⊆ t) :
HasDerivWithinAt f f' s x :=
HasFDerivWithinAt.mono h hst
#align has_deriv_within_at.mono HasDerivWithinAt.mono
theorem HasDerivWithinAt.mono_of_mem (h : HasDerivWithinAt f f' t x) (hst : t ∈ 𝓝[s] x) :
HasDerivWithinAt f f' s x :=
HasFDerivWithinAt.mono_of_mem h hst
#align has_deriv_within_at.mono_of_mem HasDerivWithinAt.mono_of_mem
#align has_deriv_within_at.nhds_within HasDerivWithinAt.mono_of_mem
theorem HasDerivAt.hasDerivAtFilter (h : HasDerivAt f f' x) (hL : L ≤ 𝓝 x) :
HasDerivAtFilter f f' x L :=
HasFDerivAt.hasFDerivAtFilter h hL
#align has_deriv_at.has_deriv_at_filter HasDerivAt.hasDerivAtFilter
theorem HasDerivAt.hasDerivWithinAt (h : HasDerivAt f f' x) : HasDerivWithinAt f f' s x :=
HasFDerivAt.hasFDerivWithinAt h
#align has_deriv_at.has_deriv_within_at HasDerivAt.hasDerivWithinAt
theorem HasDerivWithinAt.differentiableWithinAt (h : HasDerivWithinAt f f' s x) :
DifferentiableWithinAt 𝕜 f s x :=
HasFDerivWithinAt.differentiableWithinAt h
#align has_deriv_within_at.differentiable_within_at HasDerivWithinAt.differentiableWithinAt
theorem HasDerivAt.differentiableAt (h : HasDerivAt f f' x) : DifferentiableAt 𝕜 f x :=
HasFDerivAt.differentiableAt h
#align has_deriv_at.differentiable_at HasDerivAt.differentiableAt
@[simp]
theorem hasDerivWithinAt_univ : HasDerivWithinAt f f' univ x ↔ HasDerivAt f f' x :=
hasFDerivWithinAt_univ
#align has_deriv_within_at_univ hasDerivWithinAt_univ
theorem HasDerivAt.unique (h₀ : HasDerivAt f f₀' x) (h₁ : HasDerivAt f f₁' x) : f₀' = f₁' :=
smulRight_one_eq_iff.mp <| h₀.hasFDerivAt.unique h₁
#align has_deriv_at.unique HasDerivAt.unique
theorem hasDerivWithinAt_inter' (h : t ∈ 𝓝[s] x) :
HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_inter' h
#align has_deriv_within_at_inter' hasDerivWithinAt_inter'
theorem hasDerivWithinAt_inter (h : t ∈ 𝓝 x) :
HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_inter h
#align has_deriv_within_at_inter hasDerivWithinAt_inter
theorem HasDerivWithinAt.union (hs : HasDerivWithinAt f f' s x) (ht : HasDerivWithinAt f f' t x) :
HasDerivWithinAt f f' (s ∪ t) x :=
hs.hasFDerivWithinAt.union ht.hasFDerivWithinAt
#align has_deriv_within_at.union HasDerivWithinAt.union
theorem HasDerivWithinAt.hasDerivAt (h : HasDerivWithinAt f f' s x) (hs : s ∈ 𝓝 x) :
HasDerivAt f f' x :=
HasFDerivWithinAt.hasFDerivAt h hs
#align has_deriv_within_at.has_deriv_at HasDerivWithinAt.hasDerivAt
theorem DifferentiableWithinAt.hasDerivWithinAt (h : DifferentiableWithinAt 𝕜 f s x) :
HasDerivWithinAt f (derivWithin f s x) s x :=
h.hasFDerivWithinAt.hasDerivWithinAt
#align differentiable_within_at.has_deriv_within_at DifferentiableWithinAt.hasDerivWithinAt
theorem DifferentiableAt.hasDerivAt (h : DifferentiableAt 𝕜 f x) : HasDerivAt f (deriv f x) x :=
h.hasFDerivAt.hasDerivAt
#align differentiable_at.has_deriv_at DifferentiableAt.hasDerivAt
@[simp]
theorem hasDerivAt_deriv_iff : HasDerivAt f (deriv f x) x ↔ DifferentiableAt 𝕜 f x :=
⟨fun h => h.differentiableAt, fun h => h.hasDerivAt⟩
#align has_deriv_at_deriv_iff hasDerivAt_deriv_iff
@[simp]
theorem hasDerivWithinAt_derivWithin_iff :
HasDerivWithinAt f (derivWithin f s x) s x ↔ DifferentiableWithinAt 𝕜 f s x :=
⟨fun h => h.differentiableWithinAt, fun h => h.hasDerivWithinAt⟩
#align has_deriv_within_at_deriv_within_iff hasDerivWithinAt_derivWithin_iff
theorem DifferentiableOn.hasDerivAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) :
HasDerivAt f (deriv f x) x :=
(h.hasFDerivAt hs).hasDerivAt
#align differentiable_on.has_deriv_at DifferentiableOn.hasDerivAt
theorem HasDerivAt.deriv (h : HasDerivAt f f' x) : deriv f x = f' :=
h.differentiableAt.hasDerivAt.unique h
#align has_deriv_at.deriv HasDerivAt.deriv
theorem deriv_eq {f' : 𝕜 → F} (h : ∀ x, HasDerivAt f (f' x) x) : deriv f = f' :=
funext fun x => (h x).deriv
#align deriv_eq deriv_eq
theorem HasDerivWithinAt.derivWithin (h : HasDerivWithinAt f f' s x)
(hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin f s x = f' :=
hxs.eq_deriv _ h.differentiableWithinAt.hasDerivWithinAt h
#align has_deriv_within_at.deriv_within HasDerivWithinAt.derivWithin
theorem fderivWithin_derivWithin : (fderivWithin 𝕜 f s x : 𝕜 → F) 1 = derivWithin f s x :=
rfl
#align fderiv_within_deriv_within fderivWithin_derivWithin
theorem derivWithin_fderivWithin :
smulRight (1 : 𝕜 →L[𝕜] 𝕜) (derivWithin f s x) = fderivWithin 𝕜 f s x := by simp [derivWithin]
#align deriv_within_fderiv_within derivWithin_fderivWithin
theorem norm_derivWithin_eq_norm_fderivWithin : ‖derivWithin f s x‖ = ‖fderivWithin 𝕜 f s x‖ := by
simp [← derivWithin_fderivWithin]
theorem fderiv_deriv : (fderiv 𝕜 f x : 𝕜 → F) 1 = deriv f x :=
rfl
#align fderiv_deriv fderiv_deriv
theorem deriv_fderiv : smulRight (1 : 𝕜 →L[𝕜] 𝕜) (deriv f x) = fderiv 𝕜 f x := by simp [deriv]
#align deriv_fderiv deriv_fderiv
theorem norm_deriv_eq_norm_fderiv : ‖deriv f x‖ = ‖fderiv 𝕜 f x‖ := by
simp [← deriv_fderiv]
theorem DifferentiableAt.derivWithin (h : DifferentiableAt 𝕜 f x) (hxs : UniqueDiffWithinAt 𝕜 s x) :
derivWithin f s x = deriv f x := by
unfold derivWithin deriv
rw [h.fderivWithin hxs]
#align differentiable_at.deriv_within DifferentiableAt.derivWithin
theorem HasDerivWithinAt.deriv_eq_zero (hd : HasDerivWithinAt f 0 s x)
(H : UniqueDiffWithinAt 𝕜 s x) : deriv f x = 0 :=
(em' (DifferentiableAt 𝕜 f x)).elim deriv_zero_of_not_differentiableAt fun h =>
H.eq_deriv _ h.hasDerivAt.hasDerivWithinAt hd
#align has_deriv_within_at.deriv_eq_zero HasDerivWithinAt.deriv_eq_zero
theorem derivWithin_of_mem (st : t ∈ 𝓝[s] x) (ht : UniqueDiffWithinAt 𝕜 s x)
(h : DifferentiableWithinAt 𝕜 f t x) : derivWithin f s x = derivWithin f t x :=
((DifferentiableWithinAt.hasDerivWithinAt h).mono_of_mem st).derivWithin ht
#align deriv_within_of_mem derivWithin_of_mem
theorem derivWithin_subset (st : s ⊆ t) (ht : UniqueDiffWithinAt 𝕜 s x)
(h : DifferentiableWithinAt 𝕜 f t x) : derivWithin f s x = derivWithin f t x :=
((DifferentiableWithinAt.hasDerivWithinAt h).mono st).derivWithin ht
#align deriv_within_subset derivWithin_subset
theorem derivWithin_congr_set' (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) :
derivWithin f s x = derivWithin f t x := by simp only [derivWithin, fderivWithin_congr_set' y h]
#align deriv_within_congr_set' derivWithin_congr_set'
theorem derivWithin_congr_set (h : s =ᶠ[𝓝 x] t) : derivWithin f s x = derivWithin f t x := by
simp only [derivWithin, fderivWithin_congr_set h]
#align deriv_within_congr_set derivWithin_congr_set
@[simp]
theorem derivWithin_univ : derivWithin f univ = deriv f := by
ext
unfold derivWithin deriv
rw [fderivWithin_univ]
#align deriv_within_univ derivWithin_univ
theorem derivWithin_inter (ht : t ∈ 𝓝 x) : derivWithin f (s ∩ t) x = derivWithin f s x := by
unfold derivWithin
rw [fderivWithin_inter ht]
#align deriv_within_inter derivWithin_inter
theorem derivWithin_of_mem_nhds (h : s ∈ 𝓝 x) : derivWithin f s x = deriv f x := by
simp only [derivWithin, deriv, fderivWithin_of_mem_nhds h]
theorem derivWithin_of_isOpen (hs : IsOpen s) (hx : x ∈ s) : derivWithin f s x = deriv f x :=
derivWithin_of_mem_nhds (hs.mem_nhds hx)
#align deriv_within_of_open derivWithin_of_isOpen
lemma deriv_eqOn {f' : 𝕜 → F} (hs : IsOpen s) (hf' : ∀ x ∈ s, HasDerivWithinAt f (f' x) s x) :
s.EqOn (deriv f) f' := fun x hx ↦ by
rw [← derivWithin_of_isOpen hs hx, (hf' _ hx).derivWithin <| hs.uniqueDiffWithinAt hx]
theorem deriv_mem_iff {f : 𝕜 → F} {s : Set F} {x : 𝕜} :
deriv f x ∈ s ↔
DifferentiableAt 𝕜 f x ∧ deriv f x ∈ s ∨ ¬DifferentiableAt 𝕜 f x ∧ (0 : F) ∈ s := by
by_cases hx : DifferentiableAt 𝕜 f x <;> simp [deriv_zero_of_not_differentiableAt, *]
#align deriv_mem_iff deriv_mem_iff
theorem derivWithin_mem_iff {f : 𝕜 → F} {t : Set 𝕜} {s : Set F} {x : 𝕜} :
derivWithin f t x ∈ s ↔
DifferentiableWithinAt 𝕜 f t x ∧ derivWithin f t x ∈ s ∨
¬DifferentiableWithinAt 𝕜 f t x ∧ (0 : F) ∈ s := by
by_cases hx : DifferentiableWithinAt 𝕜 f t x <;>
simp [derivWithin_zero_of_not_differentiableWithinAt, *]
#align deriv_within_mem_iff derivWithin_mem_iff
theorem differentiableWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] :
DifferentiableWithinAt 𝕜 f (Ioi x) x ↔ DifferentiableWithinAt 𝕜 f (Ici x) x :=
⟨fun h => h.hasDerivWithinAt.Ici_of_Ioi.differentiableWithinAt, fun h =>
h.hasDerivWithinAt.Ioi_of_Ici.differentiableWithinAt⟩
#align differentiable_within_at_Ioi_iff_Ici differentiableWithinAt_Ioi_iff_Ici
-- Golfed while splitting the file
theorem derivWithin_Ioi_eq_Ici {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] (f : ℝ → E)
(x : ℝ) : derivWithin f (Ioi x) x = derivWithin f (Ici x) x := by
by_cases H : DifferentiableWithinAt ℝ f (Ioi x) x
· have A := H.hasDerivWithinAt.Ici_of_Ioi
have B := (differentiableWithinAt_Ioi_iff_Ici.1 H).hasDerivWithinAt
simpa using (uniqueDiffOn_Ici x).eq left_mem_Ici A B
· rw [derivWithin_zero_of_not_differentiableWithinAt H,
derivWithin_zero_of_not_differentiableWithinAt]
rwa [differentiableWithinAt_Ioi_iff_Ici] at H
#align deriv_within_Ioi_eq_Ici derivWithin_Ioi_eq_Ici
theorem HasDerivAt.le_of_lip' {f : 𝕜 → F} {f' : F} {x₀ : 𝕜} (hf : HasDerivAt f f' x₀)
{C : ℝ} (hC₀ : 0 ≤ C) (hlip : ∀ᶠ x in 𝓝 x₀, ‖f x - f x₀‖ ≤ C * ‖x - x₀‖) :
‖f'‖ ≤ C := by
simpa using HasFDerivAt.le_of_lip' hf.hasFDerivAt hC₀ hlip
theorem HasDerivAt.le_of_lipschitzOn {f : 𝕜 → F} {f' : F} {x₀ : 𝕜} (hf : HasDerivAt f f' x₀)
{s : Set 𝕜} (hs : s ∈ 𝓝 x₀) {C : ℝ≥0} (hlip : LipschitzOnWith C f s) : ‖f'‖ ≤ C := by
simpa using HasFDerivAt.le_of_lipschitzOn hf.hasFDerivAt hs hlip
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 785 | 787 | theorem HasDerivAt.le_of_lipschitz {f : 𝕜 → F} {f' : F} {x₀ : 𝕜} (hf : HasDerivAt f f' x₀)
{C : ℝ≥0} (hlip : LipschitzWith C f) : ‖f'‖ ≤ C := by |
simpa using HasFDerivAt.le_of_lipschitz hf.hasFDerivAt hlip
|
import Mathlib.MeasureTheory.Integral.IntegrableOn
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.Topology.MetricSpace.ThickenedIndicator
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual
#align_import measure_theory.integral.setIntegral from "leanprover-community/mathlib"@"24e0c85412ff6adbeca08022c25ba4876eedf37a"
assert_not_exists InnerProductSpace
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function RCLike
open scoped Classical Topology ENNReal NNReal
variable {X Y E F : Type*} [MeasurableSpace X]
namespace MeasureTheory
section NormedAddCommGroup
variable [NormedAddCommGroup E] [NormedSpace ℝ E]
{f g : X → E} {s t : Set X} {μ ν : Measure X} {l l' : Filter X}
theorem setIntegral_congr_ae₀ (hs : NullMeasurableSet s μ) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff'₀ hs).2 h)
#align measure_theory.set_integral_congr_ae₀ MeasureTheory.setIntegral_congr_ae₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae₀ := setIntegral_congr_ae₀
theorem setIntegral_congr_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff' hs).2 h)
#align measure_theory.set_integral_congr_ae MeasureTheory.setIntegral_congr_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae := setIntegral_congr_ae
theorem setIntegral_congr₀ (hs : NullMeasurableSet s μ) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae₀ hs <| eventually_of_forall h
#align measure_theory.set_integral_congr₀ MeasureTheory.setIntegral_congr₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr₀ := setIntegral_congr₀
theorem setIntegral_congr (hs : MeasurableSet s) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae hs <| eventually_of_forall h
#align measure_theory.set_integral_congr MeasureTheory.setIntegral_congr
@[deprecated (since := "2024-04-17")]
alias set_integral_congr := setIntegral_congr
theorem setIntegral_congr_set_ae (hst : s =ᵐ[μ] t) : ∫ x in s, f x ∂μ = ∫ x in t, f x ∂μ := by
rw [Measure.restrict_congr_set hst]
#align measure_theory.set_integral_congr_set_ae MeasureTheory.setIntegral_congr_set_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_set_ae := setIntegral_congr_set_ae
theorem integral_union_ae (hst : AEDisjoint μ s t) (ht : NullMeasurableSet t μ)
(hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := by
simp only [IntegrableOn, Measure.restrict_union₀ hst ht, integral_add_measure hfs hft]
#align measure_theory.integral_union_ae MeasureTheory.integral_union_ae
theorem integral_union (hst : Disjoint s t) (ht : MeasurableSet t) (hfs : IntegrableOn f s μ)
(hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ :=
integral_union_ae hst.aedisjoint ht.nullMeasurableSet hfs hft
#align measure_theory.integral_union MeasureTheory.integral_union
theorem integral_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hts : t ⊆ s) :
∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ - ∫ x in t, f x ∂μ := by
rw [eq_sub_iff_add_eq, ← integral_union, diff_union_of_subset hts]
exacts [disjoint_sdiff_self_left, ht, hfs.mono_set diff_subset, hfs.mono_set hts]
#align measure_theory.integral_diff MeasureTheory.integral_diff
theorem integral_inter_add_diff₀ (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := by
rw [← Measure.restrict_inter_add_diff₀ s ht, integral_add_measure]
· exact Integrable.mono_measure hfs (Measure.restrict_mono inter_subset_left le_rfl)
· exact Integrable.mono_measure hfs (Measure.restrict_mono diff_subset le_rfl)
#align measure_theory.integral_inter_add_diff₀ MeasureTheory.integral_inter_add_diff₀
theorem integral_inter_add_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_inter_add_diff₀ ht.nullMeasurableSet hfs
#align measure_theory.integral_inter_add_diff MeasureTheory.integral_inter_add_diff
theorem integral_finset_biUnion {ι : Type*} (t : Finset ι) {s : ι → Set X}
(hs : ∀ i ∈ t, MeasurableSet (s i)) (h's : Set.Pairwise (↑t) (Disjoint on s))
(hf : ∀ i ∈ t, IntegrableOn f (s i) μ) :
∫ x in ⋃ i ∈ t, s i, f x ∂μ = ∑ i ∈ t, ∫ x in s i, f x ∂μ := by
induction' t using Finset.induction_on with a t hat IH hs h's
· simp
· simp only [Finset.coe_insert, Finset.forall_mem_insert, Set.pairwise_insert,
Finset.set_biUnion_insert] at hs hf h's ⊢
rw [integral_union _ _ hf.1 (integrableOn_finset_iUnion.2 hf.2)]
· rw [Finset.sum_insert hat, IH hs.2 h's.1 hf.2]
· simp only [disjoint_iUnion_right]
exact fun i hi => (h's.2 i hi (ne_of_mem_of_not_mem hi hat).symm).1
· exact Finset.measurableSet_biUnion _ hs.2
#align measure_theory.integral_finset_bUnion MeasureTheory.integral_finset_biUnion
theorem integral_fintype_iUnion {ι : Type*} [Fintype ι] {s : ι → Set X}
(hs : ∀ i, MeasurableSet (s i)) (h's : Pairwise (Disjoint on s))
(hf : ∀ i, IntegrableOn f (s i) μ) : ∫ x in ⋃ i, s i, f x ∂μ = ∑ i, ∫ x in s i, f x ∂μ := by
convert integral_finset_biUnion Finset.univ (fun i _ => hs i) _ fun i _ => hf i
· simp
· simp [pairwise_univ, h's]
#align measure_theory.integral_fintype_Union MeasureTheory.integral_fintype_iUnion
theorem integral_empty : ∫ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, integral_zero_measure]
#align measure_theory.integral_empty MeasureTheory.integral_empty
theorem integral_univ : ∫ x in univ, f x ∂μ = ∫ x, f x ∂μ := by rw [Measure.restrict_univ]
#align measure_theory.integral_univ MeasureTheory.integral_univ
theorem integral_add_compl₀ (hs : NullMeasurableSet s μ) (hfi : Integrable f μ) :
∫ x in s, f x ∂μ + ∫ x in sᶜ, f x ∂μ = ∫ x, f x ∂μ := by
rw [
← integral_union_ae disjoint_compl_right.aedisjoint hs.compl hfi.integrableOn hfi.integrableOn,
union_compl_self, integral_univ]
#align measure_theory.integral_add_compl₀ MeasureTheory.integral_add_compl₀
theorem integral_add_compl (hs : MeasurableSet s) (hfi : Integrable f μ) :
∫ x in s, f x ∂μ + ∫ x in sᶜ, f x ∂μ = ∫ x, f x ∂μ :=
integral_add_compl₀ hs.nullMeasurableSet hfi
#align measure_theory.integral_add_compl MeasureTheory.integral_add_compl
theorem integral_indicator (hs : MeasurableSet s) :
∫ x, indicator s f x ∂μ = ∫ x in s, f x ∂μ := by
by_cases hfi : IntegrableOn f s μ; swap
· rw [integral_undef hfi, integral_undef]
rwa [integrable_indicator_iff hs]
calc
∫ x, indicator s f x ∂μ = ∫ x in s, indicator s f x ∂μ + ∫ x in sᶜ, indicator s f x ∂μ :=
(integral_add_compl hs (hfi.integrable_indicator hs)).symm
_ = ∫ x in s, f x ∂μ + ∫ x in sᶜ, 0 ∂μ :=
(congr_arg₂ (· + ·) (integral_congr_ae (indicator_ae_eq_restrict hs))
(integral_congr_ae (indicator_ae_eq_restrict_compl hs)))
_ = ∫ x in s, f x ∂μ := by simp
#align measure_theory.integral_indicator MeasureTheory.integral_indicator
theorem setIntegral_indicator (ht : MeasurableSet t) :
∫ x in s, t.indicator f x ∂μ = ∫ x in s ∩ t, f x ∂μ := by
rw [integral_indicator ht, Measure.restrict_restrict ht, Set.inter_comm]
#align measure_theory.set_integral_indicator MeasureTheory.setIntegral_indicator
@[deprecated (since := "2024-04-17")]
alias set_integral_indicator := setIntegral_indicator
theorem ofReal_setIntegral_one_of_measure_ne_top {X : Type*} {m : MeasurableSpace X}
{μ : Measure X} {s : Set X} (hs : μ s ≠ ∞) : ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = μ s :=
calc
ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = ENNReal.ofReal (∫ _ in s, ‖(1 : ℝ)‖ ∂μ) := by
simp only [norm_one]
_ = ∫⁻ _ in s, 1 ∂μ := by
rw [ofReal_integral_norm_eq_lintegral_nnnorm (integrableOn_const.2 (Or.inr hs.lt_top))]
simp only [nnnorm_one, ENNReal.coe_one]
_ = μ s := set_lintegral_one _
#align measure_theory.of_real_set_integral_one_of_measure_ne_top MeasureTheory.ofReal_setIntegral_one_of_measure_ne_top
@[deprecated (since := "2024-04-17")]
alias ofReal_set_integral_one_of_measure_ne_top := ofReal_setIntegral_one_of_measure_ne_top
theorem ofReal_setIntegral_one {X : Type*} {_ : MeasurableSpace X} (μ : Measure X)
[IsFiniteMeasure μ] (s : Set X) : ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = μ s :=
ofReal_setIntegral_one_of_measure_ne_top (measure_ne_top μ s)
#align measure_theory.of_real_set_integral_one MeasureTheory.ofReal_setIntegral_one
@[deprecated (since := "2024-04-17")]
alias ofReal_set_integral_one := ofReal_setIntegral_one
theorem integral_piecewise [DecidablePred (· ∈ s)] (hs : MeasurableSet s) (hf : IntegrableOn f s μ)
(hg : IntegrableOn g sᶜ μ) :
∫ x, s.piecewise f g x ∂μ = ∫ x in s, f x ∂μ + ∫ x in sᶜ, g x ∂μ := by
rw [← Set.indicator_add_compl_eq_piecewise,
integral_add' (hf.integrable_indicator hs) (hg.integrable_indicator hs.compl),
integral_indicator hs, integral_indicator hs.compl]
#align measure_theory.integral_piecewise MeasureTheory.integral_piecewise
theorem tendsto_setIntegral_of_monotone {ι : Type*} [Countable ι] [SemilatticeSup ι]
{s : ι → Set X} (hsm : ∀ i, MeasurableSet (s i)) (h_mono : Monotone s)
(hfi : IntegrableOn f (⋃ n, s n) μ) :
Tendsto (fun i => ∫ x in s i, f x ∂μ) atTop (𝓝 (∫ x in ⋃ n, s n, f x ∂μ)) := by
have hfi' : ∫⁻ x in ⋃ n, s n, ‖f x‖₊ ∂μ < ∞ := hfi.2
set S := ⋃ i, s i
have hSm : MeasurableSet S := MeasurableSet.iUnion hsm
have hsub : ∀ {i}, s i ⊆ S := @(subset_iUnion s)
rw [← withDensity_apply _ hSm] at hfi'
set ν := μ.withDensity fun x => ‖f x‖₊ with hν
refine Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le
have : ∀ᶠ i in atTop, ν (s i) ∈ Icc (ν S - ε) (ν S + ε) :=
tendsto_measure_iUnion h_mono (ENNReal.Icc_mem_nhds hfi'.ne (ENNReal.coe_pos.2 ε0).ne')
filter_upwards [this] with i hi
rw [mem_closedBall_iff_norm', ← integral_diff (hsm i) hfi hsub, ← coe_nnnorm, NNReal.coe_le_coe, ←
ENNReal.coe_le_coe]
refine (ennnorm_integral_le_lintegral_ennnorm _).trans ?_
rw [← withDensity_apply _ (hSm.diff (hsm _)), ← hν, measure_diff hsub (hsm _)]
exacts [tsub_le_iff_tsub_le.mp hi.1,
(hi.2.trans_lt <| ENNReal.add_lt_top.2 ⟨hfi', ENNReal.coe_lt_top⟩).ne]
#align measure_theory.tendsto_set_integral_of_monotone MeasureTheory.tendsto_setIntegral_of_monotone
@[deprecated (since := "2024-04-17")]
alias tendsto_set_integral_of_monotone := tendsto_setIntegral_of_monotone
theorem tendsto_setIntegral_of_antitone {ι : Type*} [Countable ι] [SemilatticeSup ι]
{s : ι → Set X} (hsm : ∀ i, MeasurableSet (s i)) (h_anti : Antitone s)
(hfi : ∃ i, IntegrableOn f (s i) μ) :
Tendsto (fun i ↦ ∫ x in s i, f x ∂μ) atTop (𝓝 (∫ x in ⋂ n, s n, f x ∂μ)) := by
set S := ⋂ i, s i
have hSm : MeasurableSet S := MeasurableSet.iInter hsm
have hsub i : S ⊆ s i := iInter_subset _ _
set ν := μ.withDensity fun x => ‖f x‖₊ with hν
refine Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le
rcases hfi with ⟨i₀, hi₀⟩
have νi₀ : ν (s i₀) ≠ ∞ := by
simpa [hsm i₀, ν, ENNReal.ofReal, norm_toNNReal] using hi₀.norm.lintegral_lt_top.ne
have νS : ν S ≠ ∞ := ((measure_mono (hsub i₀)).trans_lt νi₀.lt_top).ne
have : ∀ᶠ i in atTop, ν (s i) ∈ Icc (ν S - ε) (ν S + ε) := by
apply tendsto_measure_iInter hsm h_anti ⟨i₀, νi₀⟩
apply ENNReal.Icc_mem_nhds νS (ENNReal.coe_pos.2 ε0).ne'
filter_upwards [this, Ici_mem_atTop i₀] with i hi h'i
rw [mem_closedBall_iff_norm, ← integral_diff hSm (hi₀.mono_set (h_anti h'i)) (hsub i),
← coe_nnnorm, NNReal.coe_le_coe, ← ENNReal.coe_le_coe]
refine (ennnorm_integral_le_lintegral_ennnorm _).trans ?_
rw [← withDensity_apply _ ((hsm _).diff hSm), ← hν, measure_diff (hsub i) hSm νS]
exact tsub_le_iff_left.2 hi.2
@[deprecated (since := "2024-04-17")]
alias tendsto_set_integral_of_antitone := tendsto_setIntegral_of_antitone
theorem hasSum_integral_iUnion_ae {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, NullMeasurableSet (s i) μ) (hd : Pairwise (AEDisjoint μ on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) :
HasSum (fun n => ∫ x in s n, f x ∂μ) (∫ x in ⋃ n, s n, f x ∂μ) := by
simp only [IntegrableOn, Measure.restrict_iUnion_ae hd hm] at hfi ⊢
exact hasSum_integral_measure hfi
#align measure_theory.has_sum_integral_Union_ae MeasureTheory.hasSum_integral_iUnion_ae
theorem hasSum_integral_iUnion {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, MeasurableSet (s i)) (hd : Pairwise (Disjoint on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) :
HasSum (fun n => ∫ x in s n, f x ∂μ) (∫ x in ⋃ n, s n, f x ∂μ) :=
hasSum_integral_iUnion_ae (fun i => (hm i).nullMeasurableSet) (hd.mono fun _ _ h => h.aedisjoint)
hfi
#align measure_theory.has_sum_integral_Union MeasureTheory.hasSum_integral_iUnion
theorem integral_iUnion {ι : Type*} [Countable ι] {s : ι → Set X} (hm : ∀ i, MeasurableSet (s i))
(hd : Pairwise (Disjoint on s)) (hfi : IntegrableOn f (⋃ i, s i) μ) :
∫ x in ⋃ n, s n, f x ∂μ = ∑' n, ∫ x in s n, f x ∂μ :=
(HasSum.tsum_eq (hasSum_integral_iUnion hm hd hfi)).symm
#align measure_theory.integral_Union MeasureTheory.integral_iUnion
theorem integral_iUnion_ae {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, NullMeasurableSet (s i) μ) (hd : Pairwise (AEDisjoint μ on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) : ∫ x in ⋃ n, s n, f x ∂μ = ∑' n, ∫ x in s n, f x ∂μ :=
(HasSum.tsum_eq (hasSum_integral_iUnion_ae hm hd hfi)).symm
#align measure_theory.integral_Union_ae MeasureTheory.integral_iUnion_ae
theorem setIntegral_eq_zero_of_ae_eq_zero (ht_eq : ∀ᵐ x ∂μ, x ∈ t → f x = 0) :
∫ x in t, f x ∂μ = 0 := by
by_cases hf : AEStronglyMeasurable f (μ.restrict t); swap
· rw [integral_undef]
contrapose! hf
exact hf.1
have : ∫ x in t, hf.mk f x ∂μ = 0 := by
refine integral_eq_zero_of_ae ?_
rw [EventuallyEq,
ae_restrict_iff (hf.stronglyMeasurable_mk.measurableSet_eq_fun stronglyMeasurable_zero)]
filter_upwards [ae_imp_of_ae_restrict hf.ae_eq_mk, ht_eq] with x hx h'x h''x
rw [← hx h''x]
exact h'x h''x
rw [← this]
exact integral_congr_ae hf.ae_eq_mk
#align measure_theory.set_integral_eq_zero_of_ae_eq_zero MeasureTheory.setIntegral_eq_zero_of_ae_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_zero_of_ae_eq_zero := setIntegral_eq_zero_of_ae_eq_zero
theorem setIntegral_eq_zero_of_forall_eq_zero (ht_eq : ∀ x ∈ t, f x = 0) :
∫ x in t, f x ∂μ = 0 :=
setIntegral_eq_zero_of_ae_eq_zero (eventually_of_forall ht_eq)
#align measure_theory.set_integral_eq_zero_of_forall_eq_zero MeasureTheory.setIntegral_eq_zero_of_forall_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_zero_of_forall_eq_zero := setIntegral_eq_zero_of_forall_eq_zero
theorem integral_union_eq_left_of_ae_aux (ht_eq : ∀ᵐ x ∂μ.restrict t, f x = 0)
(haux : StronglyMeasurable f) (H : IntegrableOn f (s ∪ t) μ) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ := by
let k := f ⁻¹' {0}
have hk : MeasurableSet k := by borelize E; exact haux.measurable (measurableSet_singleton _)
have h's : IntegrableOn f s μ := H.mono subset_union_left le_rfl
have A : ∀ u : Set X, ∫ x in u ∩ k, f x ∂μ = 0 := fun u =>
setIntegral_eq_zero_of_forall_eq_zero fun x hx => hx.2
rw [← integral_inter_add_diff hk h's, ← integral_inter_add_diff hk H, A, A, zero_add, zero_add,
union_diff_distrib, union_comm]
apply setIntegral_congr_set_ae
rw [union_ae_eq_right]
apply measure_mono_null diff_subset
rw [measure_zero_iff_ae_nmem]
filter_upwards [ae_imp_of_ae_restrict ht_eq] with x hx h'x using h'x.2 (hx h'x.1)
#align measure_theory.integral_union_eq_left_of_ae_aux MeasureTheory.integral_union_eq_left_of_ae_aux
theorem integral_union_eq_left_of_ae (ht_eq : ∀ᵐ x ∂μ.restrict t, f x = 0) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ := by
have ht : IntegrableOn f t μ := by apply integrableOn_zero.congr_fun_ae; symm; exact ht_eq
by_cases H : IntegrableOn f (s ∪ t) μ; swap
· rw [integral_undef H, integral_undef]; simpa [integrableOn_union, ht] using H
let f' := H.1.mk f
calc
∫ x : X in s ∪ t, f x ∂μ = ∫ x : X in s ∪ t, f' x ∂μ := integral_congr_ae H.1.ae_eq_mk
_ = ∫ x in s, f' x ∂μ := by
apply
integral_union_eq_left_of_ae_aux _ H.1.stronglyMeasurable_mk (H.congr_fun_ae H.1.ae_eq_mk)
filter_upwards [ht_eq,
ae_mono (Measure.restrict_mono subset_union_right le_rfl) H.1.ae_eq_mk] with x hx h'x
rw [← h'x, hx]
_ = ∫ x in s, f x ∂μ :=
integral_congr_ae
(ae_mono (Measure.restrict_mono subset_union_left le_rfl) H.1.ae_eq_mk.symm)
#align measure_theory.integral_union_eq_left_of_ae MeasureTheory.integral_union_eq_left_of_ae
theorem integral_union_eq_left_of_forall₀ {f : X → E} (ht : NullMeasurableSet t μ)
(ht_eq : ∀ x ∈ t, f x = 0) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_union_eq_left_of_ae ((ae_restrict_iff'₀ ht).2 (eventually_of_forall ht_eq))
#align measure_theory.integral_union_eq_left_of_forall₀ MeasureTheory.integral_union_eq_left_of_forall₀
theorem integral_union_eq_left_of_forall {f : X → E} (ht : MeasurableSet t)
(ht_eq : ∀ x ∈ t, f x = 0) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_union_eq_left_of_forall₀ ht.nullMeasurableSet ht_eq
#align measure_theory.integral_union_eq_left_of_forall MeasureTheory.integral_union_eq_left_of_forall
theorem setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux (hts : s ⊆ t)
(h't : ∀ᵐ x ∂μ, x ∈ t \ s → f x = 0) (haux : StronglyMeasurable f)
(h'aux : IntegrableOn f t μ) : ∫ x in t, f x ∂μ = ∫ x in s, f x ∂μ := by
let k := f ⁻¹' {0}
have hk : MeasurableSet k := by borelize E; exact haux.measurable (measurableSet_singleton _)
calc
∫ x in t, f x ∂μ = ∫ x in t ∩ k, f x ∂μ + ∫ x in t \ k, f x ∂μ := by
rw [integral_inter_add_diff hk h'aux]
_ = ∫ x in t \ k, f x ∂μ := by
rw [setIntegral_eq_zero_of_forall_eq_zero fun x hx => ?_, zero_add]; exact hx.2
_ = ∫ x in s \ k, f x ∂μ := by
apply setIntegral_congr_set_ae
filter_upwards [h't] with x hx
change (x ∈ t \ k) = (x ∈ s \ k)
simp only [mem_preimage, mem_singleton_iff, eq_iff_iff, and_congr_left_iff, mem_diff]
intro h'x
by_cases xs : x ∈ s
· simp only [xs, hts xs]
· simp only [xs, iff_false_iff]
intro xt
exact h'x (hx ⟨xt, xs⟩)
_ = ∫ x in s ∩ k, f x ∂μ + ∫ x in s \ k, f x ∂μ := by
have : ∀ x ∈ s ∩ k, f x = 0 := fun x hx => hx.2
rw [setIntegral_eq_zero_of_forall_eq_zero this, zero_add]
_ = ∫ x in s, f x ∂μ := by rw [integral_inter_add_diff hk (h'aux.mono hts le_rfl)]
#align measure_theory.set_integral_eq_of_subset_of_ae_diff_eq_zero_aux MeasureTheory.setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_of_subset_of_ae_diff_eq_zero_aux :=
setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux
theorem setIntegral_eq_of_subset_of_ae_diff_eq_zero (ht : NullMeasurableSet t μ) (hts : s ⊆ t)
(h't : ∀ᵐ x ∂μ, x ∈ t \ s → f x = 0) : ∫ x in t, f x ∂μ = ∫ x in s, f x ∂μ := by
by_cases h : IntegrableOn f t μ; swap
· have : ¬IntegrableOn f s μ := fun H => h (H.of_ae_diff_eq_zero ht h't)
rw [integral_undef h, integral_undef this]
let f' := h.1.mk f
calc
∫ x in t, f x ∂μ = ∫ x in t, f' x ∂μ := integral_congr_ae h.1.ae_eq_mk
_ = ∫ x in s, f' x ∂μ := by
apply
setIntegral_eq_of_subset_of_ae_diff_eq_zero_aux hts _ h.1.stronglyMeasurable_mk
(h.congr h.1.ae_eq_mk)
filter_upwards [h't, ae_imp_of_ae_restrict h.1.ae_eq_mk] with x hx h'x h''x
rw [← h'x h''x.1, hx h''x]
_ = ∫ x in s, f x ∂μ := by
apply integral_congr_ae
apply ae_restrict_of_ae_restrict_of_subset hts
exact h.1.ae_eq_mk.symm
#align measure_theory.set_integral_eq_of_subset_of_ae_diff_eq_zero MeasureTheory.setIntegral_eq_of_subset_of_ae_diff_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_of_subset_of_ae_diff_eq_zero := setIntegral_eq_of_subset_of_ae_diff_eq_zero
theorem setIntegral_eq_of_subset_of_forall_diff_eq_zero (ht : MeasurableSet t) (hts : s ⊆ t)
(h't : ∀ x ∈ t \ s, f x = 0) : ∫ x in t, f x ∂μ = ∫ x in s, f x ∂μ :=
setIntegral_eq_of_subset_of_ae_diff_eq_zero ht.nullMeasurableSet hts
(eventually_of_forall fun x hx => h't x hx)
#align measure_theory.set_integral_eq_of_subset_of_forall_diff_eq_zero MeasureTheory.setIntegral_eq_of_subset_of_forall_diff_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_of_subset_of_forall_diff_eq_zero :=
setIntegral_eq_of_subset_of_forall_diff_eq_zero
theorem setIntegral_eq_integral_of_ae_compl_eq_zero (h : ∀ᵐ x ∂μ, x ∉ s → f x = 0) :
∫ x in s, f x ∂μ = ∫ x, f x ∂μ := by
symm
nth_rw 1 [← integral_univ]
apply setIntegral_eq_of_subset_of_ae_diff_eq_zero nullMeasurableSet_univ (subset_univ _)
filter_upwards [h] with x hx h'x using hx h'x.2
#align measure_theory.set_integral_eq_integral_of_ae_compl_eq_zero MeasureTheory.setIntegral_eq_integral_of_ae_compl_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_integral_of_ae_compl_eq_zero := setIntegral_eq_integral_of_ae_compl_eq_zero
theorem setIntegral_eq_integral_of_forall_compl_eq_zero (h : ∀ x, x ∉ s → f x = 0) :
∫ x in s, f x ∂μ = ∫ x, f x ∂μ :=
setIntegral_eq_integral_of_ae_compl_eq_zero (eventually_of_forall h)
#align measure_theory.set_integral_eq_integral_of_forall_compl_eq_zero MeasureTheory.setIntegral_eq_integral_of_forall_compl_eq_zero
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_integral_of_forall_compl_eq_zero :=
setIntegral_eq_integral_of_forall_compl_eq_zero
theorem setIntegral_neg_eq_setIntegral_nonpos [LinearOrder E] {f : X → E}
(hf : AEStronglyMeasurable f μ) :
∫ x in {x | f x < 0}, f x ∂μ = ∫ x in {x | f x ≤ 0}, f x ∂μ := by
have h_union : {x | f x ≤ 0} = {x | f x < 0} ∪ {x | f x = 0} := by
simp_rw [le_iff_lt_or_eq, setOf_or]
rw [h_union]
have B : NullMeasurableSet {x | f x = 0} μ :=
hf.nullMeasurableSet_eq_fun aestronglyMeasurable_zero
symm
refine integral_union_eq_left_of_ae ?_
filter_upwards [ae_restrict_mem₀ B] with x hx using hx
#align measure_theory.set_integral_neg_eq_set_integral_nonpos MeasureTheory.setIntegral_neg_eq_setIntegral_nonpos
@[deprecated (since := "2024-04-17")]
alias set_integral_neg_eq_set_integral_nonpos := setIntegral_neg_eq_setIntegral_nonpos
theorem integral_norm_eq_pos_sub_neg {f : X → ℝ} (hfi : Integrable f μ) :
∫ x, ‖f x‖ ∂μ = ∫ x in {x | 0 ≤ f x}, f x ∂μ - ∫ x in {x | f x ≤ 0}, f x ∂μ :=
have h_meas : NullMeasurableSet {x | 0 ≤ f x} μ :=
aestronglyMeasurable_const.nullMeasurableSet_le hfi.1
calc
∫ x, ‖f x‖ ∂μ = ∫ x in {x | 0 ≤ f x}, ‖f x‖ ∂μ + ∫ x in {x | 0 ≤ f x}ᶜ, ‖f x‖ ∂μ := by
rw [← integral_add_compl₀ h_meas hfi.norm]
_ = ∫ x in {x | 0 ≤ f x}, f x ∂μ + ∫ x in {x | 0 ≤ f x}ᶜ, ‖f x‖ ∂μ := by
congr 1
refine setIntegral_congr₀ h_meas fun x hx => ?_
dsimp only
rw [Real.norm_eq_abs, abs_eq_self.mpr _]
exact hx
_ = ∫ x in {x | 0 ≤ f x}, f x ∂μ - ∫ x in {x | 0 ≤ f x}ᶜ, f x ∂μ := by
congr 1
rw [← integral_neg]
refine setIntegral_congr₀ h_meas.compl fun x hx => ?_
dsimp only
rw [Real.norm_eq_abs, abs_eq_neg_self.mpr _]
rw [Set.mem_compl_iff, Set.nmem_setOf_iff] at hx
linarith
_ = ∫ x in {x | 0 ≤ f x}, f x ∂μ - ∫ x in {x | f x ≤ 0}, f x ∂μ := by
rw [← setIntegral_neg_eq_setIntegral_nonpos hfi.1, compl_setOf]; simp only [not_le]
#align measure_theory.integral_norm_eq_pos_sub_neg MeasureTheory.integral_norm_eq_pos_sub_neg
theorem setIntegral_const [CompleteSpace E] (c : E) : ∫ _ in s, c ∂μ = (μ s).toReal • c := by
rw [integral_const, Measure.restrict_apply_univ]
#align measure_theory.set_integral_const MeasureTheory.setIntegral_const
@[deprecated (since := "2024-04-17")]
alias set_integral_const := setIntegral_const
@[simp]
theorem integral_indicator_const [CompleteSpace E] (e : E) ⦃s : Set X⦄ (s_meas : MeasurableSet s) :
∫ x : X, s.indicator (fun _ : X => e) x ∂μ = (μ s).toReal • e := by
rw [integral_indicator s_meas, ← setIntegral_const]
#align measure_theory.integral_indicator_const MeasureTheory.integral_indicator_const
@[simp]
theorem integral_indicator_one ⦃s : Set X⦄ (hs : MeasurableSet s) :
∫ x, s.indicator 1 x ∂μ = (μ s).toReal :=
(integral_indicator_const 1 hs).trans ((smul_eq_mul _).trans (mul_one _))
#align measure_theory.integral_indicator_one MeasureTheory.integral_indicator_one
theorem setIntegral_indicatorConstLp [CompleteSpace E]
{p : ℝ≥0∞} (hs : MeasurableSet s) (ht : MeasurableSet t) (hμt : μ t ≠ ∞) (e : E) :
∫ x in s, indicatorConstLp p ht hμt e x ∂μ = (μ (t ∩ s)).toReal • e :=
calc
∫ x in s, indicatorConstLp p ht hμt e x ∂μ = ∫ x in s, t.indicator (fun _ => e) x ∂μ := by
rw [setIntegral_congr_ae hs (indicatorConstLp_coeFn.mono fun x hx _ => hx)]
_ = (μ (t ∩ s)).toReal • e := by rw [integral_indicator_const _ ht, Measure.restrict_apply ht]
set_option linter.uppercaseLean3 false in
#align measure_theory.set_integral_indicator_const_Lp MeasureTheory.setIntegral_indicatorConstLp
@[deprecated (since := "2024-04-17")]
alias set_integral_indicatorConstLp := setIntegral_indicatorConstLp
theorem integral_indicatorConstLp [CompleteSpace E]
{p : ℝ≥0∞} (ht : MeasurableSet t) (hμt : μ t ≠ ∞) (e : E) :
∫ x, indicatorConstLp p ht hμt e x ∂μ = (μ t).toReal • e :=
calc
∫ x, indicatorConstLp p ht hμt e x ∂μ = ∫ x in univ, indicatorConstLp p ht hμt e x ∂μ := by
rw [integral_univ]
_ = (μ (t ∩ univ)).toReal • e := setIntegral_indicatorConstLp MeasurableSet.univ ht hμt e
_ = (μ t).toReal • e := by rw [inter_univ]
set_option linter.uppercaseLean3 false in
#align measure_theory.integral_indicator_const_Lp MeasureTheory.integral_indicatorConstLp
theorem setIntegral_map {Y} [MeasurableSpace Y] {g : X → Y} {f : Y → E} {s : Set Y}
(hs : MeasurableSet s) (hf : AEStronglyMeasurable f (Measure.map g μ)) (hg : AEMeasurable g μ) :
∫ y in s, f y ∂Measure.map g μ = ∫ x in g ⁻¹' s, f (g x) ∂μ := by
rw [Measure.restrict_map_of_aemeasurable hg hs,
integral_map (hg.mono_measure Measure.restrict_le_self) (hf.mono_measure _)]
exact Measure.map_mono_of_aemeasurable Measure.restrict_le_self hg
#align measure_theory.set_integral_map MeasureTheory.setIntegral_map
@[deprecated (since := "2024-04-17")]
alias set_integral_map := setIntegral_map
theorem _root_.MeasurableEmbedding.setIntegral_map {Y} {_ : MeasurableSpace Y} {f : X → Y}
(hf : MeasurableEmbedding f) (g : Y → E) (s : Set Y) :
∫ y in s, g y ∂Measure.map f μ = ∫ x in f ⁻¹' s, g (f x) ∂μ := by
rw [hf.restrict_map, hf.integral_map]
#align measurable_embedding.set_integral_map MeasurableEmbedding.setIntegral_map
@[deprecated (since := "2024-04-17")]
alias _root_.MeasurableEmbedding.set_integral_map := _root_.MeasurableEmbedding.setIntegral_map
theorem _root_.ClosedEmbedding.setIntegral_map [TopologicalSpace X] [BorelSpace X] {Y}
[MeasurableSpace Y] [TopologicalSpace Y] [BorelSpace Y] {g : X → Y} {f : Y → E} (s : Set Y)
(hg : ClosedEmbedding g) : ∫ y in s, f y ∂Measure.map g μ = ∫ x in g ⁻¹' s, f (g x) ∂μ :=
hg.measurableEmbedding.setIntegral_map _ _
#align closed_embedding.set_integral_map ClosedEmbedding.setIntegral_map
@[deprecated (since := "2024-04-17")]
alias _root_.ClosedEmbedding.set_integral_map := _root_.ClosedEmbedding.setIntegral_map
theorem MeasurePreserving.setIntegral_preimage_emb {Y} {_ : MeasurableSpace Y} {f : X → Y} {ν}
(h₁ : MeasurePreserving f μ ν) (h₂ : MeasurableEmbedding f) (g : Y → E) (s : Set Y) :
∫ x in f ⁻¹' s, g (f x) ∂μ = ∫ y in s, g y ∂ν :=
(h₁.restrict_preimage_emb h₂ s).integral_comp h₂ _
#align measure_theory.measure_preserving.set_integral_preimage_emb MeasureTheory.MeasurePreserving.setIntegral_preimage_emb
@[deprecated (since := "2024-04-17")]
alias MeasurePreserving.set_integral_preimage_emb := MeasurePreserving.setIntegral_preimage_emb
theorem MeasurePreserving.setIntegral_image_emb {Y} {_ : MeasurableSpace Y} {f : X → Y} {ν}
(h₁ : MeasurePreserving f μ ν) (h₂ : MeasurableEmbedding f) (g : Y → E) (s : Set X) :
∫ y in f '' s, g y ∂ν = ∫ x in s, g (f x) ∂μ :=
Eq.symm <| (h₁.restrict_image_emb h₂ s).integral_comp h₂ _
#align measure_theory.measure_preserving.set_integral_image_emb MeasureTheory.MeasurePreserving.setIntegral_image_emb
@[deprecated (since := "2024-04-17")]
alias MeasurePreserving.set_integral_image_emb := MeasurePreserving.setIntegral_image_emb
theorem setIntegral_map_equiv {Y} [MeasurableSpace Y] (e : X ≃ᵐ Y) (f : Y → E) (s : Set Y) :
∫ y in s, f y ∂Measure.map e μ = ∫ x in e ⁻¹' s, f (e x) ∂μ :=
e.measurableEmbedding.setIntegral_map f s
#align measure_theory.set_integral_map_equiv MeasureTheory.setIntegral_map_equiv
@[deprecated (since := "2024-04-17")]
alias set_integral_map_equiv := setIntegral_map_equiv
theorem norm_setIntegral_le_of_norm_le_const_ae {C : ℝ} (hs : μ s < ∞)
(hC : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal := by
rw [← Measure.restrict_apply_univ] at *
haveI : IsFiniteMeasure (μ.restrict s) := ⟨hs⟩
exact norm_integral_le_of_norm_le_const hC
#align measure_theory.norm_set_integral_le_of_norm_le_const_ae MeasureTheory.norm_setIntegral_le_of_norm_le_const_ae
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const_ae := norm_setIntegral_le_of_norm_le_const_ae
theorem norm_setIntegral_le_of_norm_le_const_ae' {C : ℝ} (hs : μ s < ∞)
(hC : ∀ᵐ x ∂μ, x ∈ s → ‖f x‖ ≤ C) (hfm : AEStronglyMeasurable f (μ.restrict s)) :
‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal := by
apply norm_setIntegral_le_of_norm_le_const_ae hs
have A : ∀ᵐ x : X ∂μ, x ∈ s → ‖AEStronglyMeasurable.mk f hfm x‖ ≤ C := by
filter_upwards [hC, hfm.ae_mem_imp_eq_mk] with _ h1 h2 h3
rw [← h2 h3]
exact h1 h3
have B : MeasurableSet {x | ‖hfm.mk f x‖ ≤ C} :=
hfm.stronglyMeasurable_mk.norm.measurable measurableSet_Iic
filter_upwards [hfm.ae_eq_mk, (ae_restrict_iff B).2 A] with _ h1 _
rwa [h1]
#align measure_theory.norm_set_integral_le_of_norm_le_const_ae' MeasureTheory.norm_setIntegral_le_of_norm_le_const_ae'
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const_ae' := norm_setIntegral_le_of_norm_le_const_ae'
theorem norm_setIntegral_le_of_norm_le_const_ae'' {C : ℝ} (hs : μ s < ∞) (hsm : MeasurableSet s)
(hC : ∀ᵐ x ∂μ, x ∈ s → ‖f x‖ ≤ C) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal :=
norm_setIntegral_le_of_norm_le_const_ae hs <| by
rwa [ae_restrict_eq hsm, eventually_inf_principal]
#align measure_theory.norm_set_integral_le_of_norm_le_const_ae'' MeasureTheory.norm_setIntegral_le_of_norm_le_const_ae''
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const_ae'' := norm_setIntegral_le_of_norm_le_const_ae''
theorem norm_setIntegral_le_of_norm_le_const {C : ℝ} (hs : μ s < ∞) (hC : ∀ x ∈ s, ‖f x‖ ≤ C)
(hfm : AEStronglyMeasurable f (μ.restrict s)) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal :=
norm_setIntegral_le_of_norm_le_const_ae' hs (eventually_of_forall hC) hfm
#align measure_theory.norm_set_integral_le_of_norm_le_const MeasureTheory.norm_setIntegral_le_of_norm_le_const
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const := norm_setIntegral_le_of_norm_le_const
theorem norm_setIntegral_le_of_norm_le_const' {C : ℝ} (hs : μ s < ∞) (hsm : MeasurableSet s)
(hC : ∀ x ∈ s, ‖f x‖ ≤ C) : ‖∫ x in s, f x ∂μ‖ ≤ C * (μ s).toReal :=
norm_setIntegral_le_of_norm_le_const_ae'' hs hsm <| eventually_of_forall hC
#align measure_theory.norm_set_integral_le_of_norm_le_const' MeasureTheory.norm_setIntegral_le_of_norm_le_const'
@[deprecated (since := "2024-04-17")]
alias norm_set_integral_le_of_norm_le_const' := norm_setIntegral_le_of_norm_le_const'
theorem setIntegral_eq_zero_iff_of_nonneg_ae {f : X → ℝ} (hf : 0 ≤ᵐ[μ.restrict s] f)
(hfi : IntegrableOn f s μ) : ∫ x in s, f x ∂μ = 0 ↔ f =ᵐ[μ.restrict s] 0 :=
integral_eq_zero_iff_of_nonneg_ae hf hfi
#align measure_theory.set_integral_eq_zero_iff_of_nonneg_ae MeasureTheory.setIntegral_eq_zero_iff_of_nonneg_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_eq_zero_iff_of_nonneg_ae := setIntegral_eq_zero_iff_of_nonneg_ae
theorem setIntegral_pos_iff_support_of_nonneg_ae {f : X → ℝ} (hf : 0 ≤ᵐ[μ.restrict s] f)
(hfi : IntegrableOn f s μ) : (0 < ∫ x in s, f x ∂μ) ↔ 0 < μ (support f ∩ s) := by
rw [integral_pos_iff_support_of_nonneg_ae hf hfi, Measure.restrict_apply₀]
rw [support_eq_preimage]
exact hfi.aestronglyMeasurable.aemeasurable.nullMeasurable (measurableSet_singleton 0).compl
#align measure_theory.set_integral_pos_iff_support_of_nonneg_ae MeasureTheory.setIntegral_pos_iff_support_of_nonneg_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_pos_iff_support_of_nonneg_ae := setIntegral_pos_iff_support_of_nonneg_ae
theorem setIntegral_gt_gt {R : ℝ} {f : X → ℝ} (hR : 0 ≤ R) (hfm : Measurable f)
(hfint : IntegrableOn f {x | ↑R < f x} μ) (hμ : μ {x | ↑R < f x} ≠ 0) :
(μ {x | ↑R < f x}).toReal * R < ∫ x in {x | ↑R < f x}, f x ∂μ := by
have : IntegrableOn (fun _ => R) {x | ↑R < f x} μ := by
refine ⟨aestronglyMeasurable_const, lt_of_le_of_lt ?_ hfint.2⟩
refine
set_lintegral_mono (Measurable.nnnorm ?_).coe_nnreal_ennreal hfm.nnnorm.coe_nnreal_ennreal
fun x hx => ?_
· exact measurable_const
· simp only [ENNReal.coe_le_coe, Real.nnnorm_of_nonneg hR,
Real.nnnorm_of_nonneg (hR.trans <| le_of_lt hx), Subtype.mk_le_mk]
exact le_of_lt hx
rw [← sub_pos, ← smul_eq_mul, ← setIntegral_const, ← integral_sub hfint this,
setIntegral_pos_iff_support_of_nonneg_ae]
· rw [← zero_lt_iff] at hμ
rwa [Set.inter_eq_self_of_subset_right]
exact fun x hx => Ne.symm (ne_of_lt <| sub_pos.2 hx)
· rw [Pi.zero_def, EventuallyLE, ae_restrict_iff]
· exact eventually_of_forall fun x hx => sub_nonneg.2 <| le_of_lt hx
· exact measurableSet_le measurable_zero (hfm.sub measurable_const)
· exact Integrable.sub hfint this
#align measure_theory.set_integral_gt_gt MeasureTheory.setIntegral_gt_gt
@[deprecated (since := "2024-04-17")]
alias set_integral_gt_gt := setIntegral_gt_gt
theorem setIntegral_trim {X} {m m0 : MeasurableSpace X} {μ : Measure X} (hm : m ≤ m0) {f : X → E}
(hf_meas : StronglyMeasurable[m] f) {s : Set X} (hs : MeasurableSet[m] s) :
∫ x in s, f x ∂μ = ∫ x in s, f x ∂μ.trim hm := by
rwa [integral_trim hm hf_meas, restrict_trim hm μ]
#align measure_theory.set_integral_trim MeasureTheory.setIntegral_trim
@[deprecated (since := "2024-04-17")]
alias set_integral_trim := setIntegral_trim
section Nonneg
variable {μ : Measure X} {f : X → ℝ} {s : Set X}
theorem setIntegral_nonneg_of_ae_restrict (hf : 0 ≤ᵐ[μ.restrict s] f) : 0 ≤ ∫ x in s, f x ∂μ :=
integral_nonneg_of_ae hf
#align measure_theory.set_integral_nonneg_of_ae_restrict MeasureTheory.setIntegral_nonneg_of_ae_restrict
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg_of_ae_restrict := setIntegral_nonneg_of_ae_restrict
theorem setIntegral_nonneg_of_ae (hf : 0 ≤ᵐ[μ] f) : 0 ≤ ∫ x in s, f x ∂μ :=
setIntegral_nonneg_of_ae_restrict (ae_restrict_of_ae hf)
#align measure_theory.set_integral_nonneg_of_ae MeasureTheory.setIntegral_nonneg_of_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg_of_ae := setIntegral_nonneg_of_ae
theorem setIntegral_nonneg (hs : MeasurableSet s) (hf : ∀ x, x ∈ s → 0 ≤ f x) :
0 ≤ ∫ x in s, f x ∂μ :=
setIntegral_nonneg_of_ae_restrict ((ae_restrict_iff' hs).mpr (ae_of_all μ hf))
#align measure_theory.set_integral_nonneg MeasureTheory.setIntegral_nonneg
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg := setIntegral_nonneg
theorem setIntegral_nonneg_ae (hs : MeasurableSet s) (hf : ∀ᵐ x ∂μ, x ∈ s → 0 ≤ f x) :
0 ≤ ∫ x in s, f x ∂μ :=
setIntegral_nonneg_of_ae_restrict <| by rwa [EventuallyLE, ae_restrict_iff' hs]
#align measure_theory.set_integral_nonneg_ae MeasureTheory.setIntegral_nonneg_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonneg_ae := setIntegral_nonneg_ae
theorem setIntegral_le_nonneg {s : Set X} (hs : MeasurableSet s) (hf : StronglyMeasurable f)
(hfi : Integrable f μ) : ∫ x in s, f x ∂μ ≤ ∫ x in {y | 0 ≤ f y}, f x ∂μ := by
rw [← integral_indicator hs, ←
integral_indicator (stronglyMeasurable_const.measurableSet_le hf)]
exact
integral_mono (hfi.indicator hs)
(hfi.indicator (stronglyMeasurable_const.measurableSet_le hf))
(indicator_le_indicator_nonneg s f)
#align measure_theory.set_integral_le_nonneg MeasureTheory.setIntegral_le_nonneg
@[deprecated (since := "2024-04-17")]
alias set_integral_le_nonneg := setIntegral_le_nonneg
theorem setIntegral_nonpos_of_ae_restrict (hf : f ≤ᵐ[μ.restrict s] 0) : ∫ x in s, f x ∂μ ≤ 0 :=
integral_nonpos_of_ae hf
#align measure_theory.set_integral_nonpos_of_ae_restrict MeasureTheory.setIntegral_nonpos_of_ae_restrict
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_of_ae_restrict := setIntegral_nonpos_of_ae_restrict
theorem setIntegral_nonpos_of_ae (hf : f ≤ᵐ[μ] 0) : ∫ x in s, f x ∂μ ≤ 0 :=
setIntegral_nonpos_of_ae_restrict (ae_restrict_of_ae hf)
#align measure_theory.set_integral_nonpos_of_ae MeasureTheory.setIntegral_nonpos_of_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_of_ae := setIntegral_nonpos_of_ae
theorem setIntegral_nonpos_ae (hs : MeasurableSet s) (hf : ∀ᵐ x ∂μ, x ∈ s → f x ≤ 0) :
∫ x in s, f x ∂μ ≤ 0 :=
setIntegral_nonpos_of_ae_restrict <| by rwa [EventuallyLE, ae_restrict_iff' hs]
#align measure_theory.set_integral_nonpos_ae MeasureTheory.setIntegral_nonpos_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos_ae := setIntegral_nonpos_ae
theorem setIntegral_nonpos (hs : MeasurableSet s) (hf : ∀ x, x ∈ s → f x ≤ 0) :
∫ x in s, f x ∂μ ≤ 0 :=
setIntegral_nonpos_ae hs <| ae_of_all μ hf
#align measure_theory.set_integral_nonpos MeasureTheory.setIntegral_nonpos
@[deprecated (since := "2024-04-17")]
alias set_integral_nonpos := setIntegral_nonpos
| Mathlib/MeasureTheory/Integral/SetIntegral.lean | 954 | 960 | theorem setIntegral_nonpos_le {s : Set X} (hs : MeasurableSet s) (hf : StronglyMeasurable f)
(hfi : Integrable f μ) : ∫ x in {y | f y ≤ 0}, f x ∂μ ≤ ∫ x in s, f x ∂μ := by |
rw [← integral_indicator hs, ←
integral_indicator (hf.measurableSet_le stronglyMeasurable_const)]
exact
integral_mono (hfi.indicator (hf.measurableSet_le stronglyMeasurable_const))
(hfi.indicator hs) (indicator_nonpos_le_indicator s f)
|
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Set.Subsingleton
#align_import combinatorics.double_counting from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe"
open Finset Function Relator
variable {α β : Type*}
namespace Finset
section Bipartite
variable (r : α → β → Prop) (s : Finset α) (t : Finset β) (a a' : α) (b b' : β)
[DecidablePred (r a)] [∀ a, Decidable (r a b)] {m n : ℕ}
def bipartiteBelow : Finset α := s.filter fun a ↦ r a b
#align finset.bipartite_below Finset.bipartiteBelow
def bipartiteAbove : Finset β := t.filter (r a)
#align finset.bipartite_above Finset.bipartiteAbove
theorem bipartiteBelow_swap : t.bipartiteBelow (swap r) a = t.bipartiteAbove r a := rfl
#align finset.bipartite_below_swap Finset.bipartiteBelow_swap
theorem bipartiteAbove_swap : s.bipartiteAbove (swap r) b = s.bipartiteBelow r b := rfl
#align finset.bipartite_above_swap Finset.bipartiteAbove_swap
@[simp, norm_cast]
theorem coe_bipartiteBelow : (s.bipartiteBelow r b : Set α) = { a ∈ s | r a b } := coe_filter _ _
#align finset.coe_bipartite_below Finset.coe_bipartiteBelow
@[simp, norm_cast]
theorem coe_bipartiteAbove : (t.bipartiteAbove r a : Set β) = { b ∈ t | r a b } := coe_filter _ _
#align finset.coe_bipartite_above Finset.coe_bipartiteAbove
variable {s t a a' b b'}
@[simp]
theorem mem_bipartiteBelow {a : α} : a ∈ s.bipartiteBelow r b ↔ a ∈ s ∧ r a b := mem_filter
#align finset.mem_bipartite_below Finset.mem_bipartiteBelow
@[simp]
theorem mem_bipartiteAbove {b : β} : b ∈ t.bipartiteAbove r a ↔ b ∈ t ∧ r a b := mem_filter
#align finset.mem_bipartite_above Finset.mem_bipartiteAbove
| Mathlib/Combinatorics/Enumerative/DoubleCounting.lean | 79 | 82 | theorem sum_card_bipartiteAbove_eq_sum_card_bipartiteBelow [∀ a b, Decidable (r a b)] :
(∑ a ∈ s, (t.bipartiteAbove r a).card) = ∑ b ∈ t, (s.bipartiteBelow r b).card := by |
simp_rw [card_eq_sum_ones, bipartiteAbove, bipartiteBelow, sum_filter]
exact sum_comm
|
import Mathlib.Algebra.BigOperators.Group.List
import Mathlib.Algebra.Group.Prod
import Mathlib.Data.Multiset.Basic
#align_import algebra.big_operators.multiset.basic from "leanprover-community/mathlib"@"6c5f73fd6f6cc83122788a80a27cdd54663609f4"
assert_not_exists MonoidWithZero
variable {F ι α β γ : Type*}
namespace Multiset
section CommMonoid
variable [CommMonoid α] [CommMonoid β] {s t : Multiset α} {a : α} {m : Multiset ι} {f g : ι → α}
@[to_additive
"Sum of a multiset given a commutative additive monoid structure on `α`.
`sum {a, b, c} = a + b + c`"]
def prod : Multiset α → α :=
foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1
#align multiset.prod Multiset.prod
#align multiset.sum Multiset.sum
@[to_additive]
theorem prod_eq_foldr (s : Multiset α) :
prod s = foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 s :=
rfl
#align multiset.prod_eq_foldr Multiset.prod_eq_foldr
#align multiset.sum_eq_foldr Multiset.sum_eq_foldr
@[to_additive]
theorem prod_eq_foldl (s : Multiset α) :
prod s = foldl (· * ·) (fun x y z => by simp [mul_right_comm]) 1 s :=
(foldr_swap _ _ _ _).trans (by simp [mul_comm])
#align multiset.prod_eq_foldl Multiset.prod_eq_foldl
#align multiset.sum_eq_foldl Multiset.sum_eq_foldl
@[to_additive (attr := simp, norm_cast)]
theorem prod_coe (l : List α) : prod ↑l = l.prod :=
prod_eq_foldl _
#align multiset.coe_prod Multiset.prod_coe
#align multiset.coe_sum Multiset.sum_coe
@[to_additive (attr := simp)]
theorem prod_toList (s : Multiset α) : s.toList.prod = s.prod := by
conv_rhs => rw [← coe_toList s]
rw [prod_coe]
#align multiset.prod_to_list Multiset.prod_toList
#align multiset.sum_to_list Multiset.sum_toList
@[to_additive (attr := simp)]
theorem prod_zero : @prod α _ 0 = 1 :=
rfl
#align multiset.prod_zero Multiset.prod_zero
#align multiset.sum_zero Multiset.sum_zero
@[to_additive (attr := simp)]
theorem prod_cons (a : α) (s) : prod (a ::ₘ s) = a * prod s :=
foldr_cons _ _ _ _ _
#align multiset.prod_cons Multiset.prod_cons
#align multiset.sum_cons Multiset.sum_cons
@[to_additive (attr := simp)]
theorem prod_erase [DecidableEq α] (h : a ∈ s) : a * (s.erase a).prod = s.prod := by
rw [← s.coe_toList, coe_erase, prod_coe, prod_coe, List.prod_erase (mem_toList.2 h)]
#align multiset.prod_erase Multiset.prod_erase
#align multiset.sum_erase Multiset.sum_erase
@[to_additive (attr := simp)]
| Mathlib/Algebra/BigOperators/Group/Multiset.lean | 91 | 94 | theorem prod_map_erase [DecidableEq ι] {a : ι} (h : a ∈ m) :
f a * ((m.erase a).map f).prod = (m.map f).prod := by |
rw [← m.coe_toList, coe_erase, map_coe, map_coe, prod_coe, prod_coe,
List.prod_map_erase f (mem_toList.2 h)]
|
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Analysis.SpecialFunctions.Complex.LogDeriv
import Mathlib.Analysis.Calculus.FDeriv.Extend
import Mathlib.Analysis.Calculus.Deriv.Prod
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv
#align_import analysis.special_functions.pow.deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical Real Topology NNReal ENNReal Filter
open Filter
section Limits
open Real Filter
| Mathlib/Analysis/SpecialFunctions/Pow/Deriv.lean | 648 | 656 | theorem tendsto_one_plus_div_rpow_exp (t : ℝ) :
Tendsto (fun x : ℝ => (1 + t / x) ^ x) atTop (𝓝 (exp t)) := by |
apply ((Real.continuous_exp.tendsto _).comp (tendsto_mul_log_one_plus_div_atTop t)).congr' _
have h₁ : (1 : ℝ) / 2 < 1 := by linarith
have h₂ : Tendsto (fun x : ℝ => 1 + t / x) atTop (𝓝 1) := by
simpa using (tendsto_inv_atTop_zero.const_mul t).const_add 1
refine (eventually_ge_of_tendsto_gt h₁ h₂).mono fun x hx => ?_
have hx' : 0 < 1 + t / x := by linarith
simp [mul_comm x, exp_mul, exp_log hx']
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
#align real.tan_add Real.tan_add
theorem tan_add' {x y : ℝ}
(h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (Or.inl h)
#align real.tan_add' Real.tan_add'
theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by
have := @Complex.tan_two_mul x
norm_cast at *
#align real.tan_two_mul Real.tan_two_mul
theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
#align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two
theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by
suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by
have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos]
rwa [h_eq] at this
exact continuousOn_sin.div continuousOn_cos fun x => id
#align real.continuous_on_tan Real.continuousOn_tan
@[continuity]
theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x :=
continuousOn_iff_continuous_restrict.1 continuousOn_tan
#align real.continuous_tan Real.continuous_tan
theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by
refine ContinuousOn.mono continuousOn_tan fun x => ?_
simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne]
rw [cos_eq_zero_iff]
rintro hx_gt hx_lt ⟨r, hxr_eq⟩
rcases le_or_lt 0 r with h | h
· rw [lt_iff_not_ge] at hx_lt
refine hx_lt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)]
simp [h]
· rw [lt_iff_not_ge] at hx_gt
refine hx_gt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul,
mul_le_mul_right (half_pos pi_pos)]
have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h
rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff]
· set_option tactic.skipAssignedInstances false in norm_num
rw [← Int.cast_one, ← Int.cast_neg]; norm_cast
· exact zero_lt_two
#align real.continuous_on_tan_Ioo Real.continuousOn_tan_Ioo
theorem surjOn_tan : SurjOn tan (Ioo (-(π / 2)) (π / 2)) univ :=
have := neg_lt_self pi_div_two_pos
continuousOn_tan_Ioo.surjOn_of_tendsto (nonempty_Ioo.2 this)
(by rw [tendsto_comp_coe_Ioo_atBot this]; exact tendsto_tan_neg_pi_div_two)
(by rw [tendsto_comp_coe_Ioo_atTop this]; exact tendsto_tan_pi_div_two)
#align real.surj_on_tan Real.surjOn_tan
theorem tan_surjective : Function.Surjective tan := fun _ => surjOn_tan.subset_range trivial
#align real.tan_surjective Real.tan_surjective
theorem image_tan_Ioo : tan '' Ioo (-(π / 2)) (π / 2) = univ :=
univ_subset_iff.1 surjOn_tan
#align real.image_tan_Ioo Real.image_tan_Ioo
def tanOrderIso : Ioo (-(π / 2)) (π / 2) ≃o ℝ :=
(strictMonoOn_tan.orderIso _ _).trans <|
(OrderIso.setCongr _ _ image_tan_Ioo).trans OrderIso.Set.univ
#align real.tan_order_iso Real.tanOrderIso
-- @[pp_nodot] -- Porting note: removed
noncomputable def arctan (x : ℝ) : ℝ :=
tanOrderIso.symm x
#align real.arctan Real.arctan
@[simp]
theorem tan_arctan (x : ℝ) : tan (arctan x) = x :=
tanOrderIso.apply_symm_apply x
#align real.tan_arctan Real.tan_arctan
theorem arctan_mem_Ioo (x : ℝ) : arctan x ∈ Ioo (-(π / 2)) (π / 2) :=
Subtype.coe_prop _
#align real.arctan_mem_Ioo Real.arctan_mem_Ioo
@[simp]
theorem range_arctan : range arctan = Ioo (-(π / 2)) (π / 2) :=
((EquivLike.surjective _).range_comp _).trans Subtype.range_coe
#align real.range_arctan Real.range_arctan
theorem arctan_tan {x : ℝ} (hx₁ : -(π / 2) < x) (hx₂ : x < π / 2) : arctan (tan x) = x :=
Subtype.ext_iff.1 <| tanOrderIso.symm_apply_apply ⟨x, hx₁, hx₂⟩
#align real.arctan_tan Real.arctan_tan
theorem cos_arctan_pos (x : ℝ) : 0 < cos (arctan x) :=
cos_pos_of_mem_Ioo <| arctan_mem_Ioo x
#align real.cos_arctan_pos Real.cos_arctan_pos
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 138 | 139 | theorem cos_sq_arctan (x : ℝ) : cos (arctan x) ^ 2 = 1 / (1 + x ^ 2) := by |
rw_mod_cast [one_div, ← inv_one_add_tan_sq (cos_arctan_pos x).ne', tan_arctan]
|
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
| Mathlib/NumberTheory/Bernoulli.lean | 83 | 88 | 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])
|
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Algebra.Group.FiniteSupport
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Set.Subsingleton
#align_import algebra.big_operators.finprod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
open Function Set
-- Porting note: Used to be section Sort
section sort
variable {G M N : Type*} {α β ι : Sort*} [CommMonoid M] [CommMonoid N]
section
open scoped Classical
noncomputable irreducible_def finsum (lemma := finsum_def') [AddCommMonoid M] (f : α → M) : M :=
if h : (support (f ∘ PLift.down)).Finite then ∑ i ∈ h.toFinset, f i.down else 0
#align finsum finsum
@[to_additive existing]
noncomputable irreducible_def finprod (lemma := finprod_def') (f : α → M) : M :=
if h : (mulSupport (f ∘ PLift.down)).Finite then ∏ i ∈ h.toFinset, f i.down else 1
#align finprod finprod
attribute [to_additive existing] finprod_def'
end
open Batteries.ExtendedBinder
notation3"∑ᶠ "(...)", "r:67:(scoped f => finsum f) => r
notation3"∏ᶠ "(...)", "r:67:(scoped f => finprod f) => r
-- Porting note: The following ports the lean3 notation for this file, but is currently very fickle.
-- syntax (name := bigfinsum) "∑ᶠ" extBinders ", " term:67 : term
-- macro_rules (kind := bigfinsum)
-- | `(∑ᶠ $x:ident, $p) => `(finsum (fun $x:ident ↦ $p))
-- | `(∑ᶠ $x:ident : $t, $p) => `(finsum (fun $x:ident : $t ↦ $p))
-- | `(∑ᶠ $x:ident $b:binderPred, $p) =>
-- `(finsum fun $x => (finsum (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∑ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum (α := $t) fun $h => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => (finsum (α := $t) fun $h => $p))))
--
--
-- syntax (name := bigfinprod) "∏ᶠ " extBinders ", " term:67 : term
-- macro_rules (kind := bigfinprod)
-- | `(∏ᶠ $x:ident, $p) => `(finprod (fun $x:ident ↦ $p))
-- | `(∏ᶠ $x:ident : $t, $p) => `(finprod (fun $x:ident : $t ↦ $p))
-- | `(∏ᶠ $x:ident $b:binderPred, $p) =>
-- `(finprod fun $x => (finprod (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∏ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod (α := $t) fun $h => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z =>
-- (finprod (α := $t) fun $h => $p))))
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_toFinset_subset {f : α → M}
(hf : (mulSupport (f ∘ PLift.down)).Finite) {s : Finset (PLift α)} (hs : hf.toFinset ⊆ s) :
∏ᶠ i, f i = ∏ i ∈ s, f i.down := by
rw [finprod, dif_pos]
refine Finset.prod_subset hs fun x _ hxf => ?_
rwa [hf.mem_toFinset, nmem_mulSupport] at hxf
#align finprod_eq_prod_plift_of_mul_support_to_finset_subset finprod_eq_prod_plift_of_mulSupport_toFinset_subset
#align finsum_eq_sum_plift_of_support_to_finset_subset finsum_eq_sum_plift_of_support_toFinset_subset
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_subset {f : α → M} {s : Finset (PLift α)}
(hs : mulSupport (f ∘ PLift.down) ⊆ s) : ∏ᶠ i, f i = ∏ i ∈ s, f i.down :=
finprod_eq_prod_plift_of_mulSupport_toFinset_subset (s.finite_toSet.subset hs) fun x hx => by
rw [Finite.mem_toFinset] at hx
exact hs hx
#align finprod_eq_prod_plift_of_mul_support_subset finprod_eq_prod_plift_of_mulSupport_subset
#align finsum_eq_sum_plift_of_support_subset finsum_eq_sum_plift_of_support_subset
@[to_additive (attr := simp)]
| Mathlib/Algebra/BigOperators/Finprod.lean | 190 | 193 | theorem finprod_one : (∏ᶠ _ : α, (1 : M)) = 1 := by |
have : (mulSupport fun x : PLift α => (fun _ => 1 : α → M) x.down) ⊆ (∅ : Finset (PLift α)) :=
fun x h => by simp at h
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_empty]
|
import Mathlib.Algebra.Ring.Defs
import Mathlib.Algebra.Group.Ext
local macro:max "local_hAdd[" type:term ", " inst:term "]" : term =>
`(term| (letI := $inst; HAdd.hAdd : $type → $type → $type))
local macro:max "local_hMul[" type:term ", " inst:term "]" : term =>
`(term| (letI := $inst; HMul.hMul : $type → $type → $type))
universe u
variable {R : Type u}
@[ext] theorem AddMonoidWithOne.ext ⦃inst₁ inst₂ : AddMonoidWithOne R⦄
(h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂])
(h_one : (letI := inst₁; One.one : R) = (letI := inst₂; One.one : R)) :
inst₁ = inst₂ := by
have h_monoid : inst₁.toAddMonoid = inst₂.toAddMonoid := by ext : 1; exact h_add
have h_zero' : inst₁.toZero = inst₂.toZero := congrArg (·.toZero) h_monoid
have h_one' : inst₁.toOne = inst₂.toOne :=
congrArg One.mk h_one
have h_natCast : inst₁.toNatCast.natCast = inst₂.toNatCast.natCast := by
funext n; induction n with
| zero => rewrite [inst₁.natCast_zero, inst₂.natCast_zero]
exact congrArg (@Zero.zero R) h_zero'
| succ n h => rw [inst₁.natCast_succ, inst₂.natCast_succ, h_add]
exact congrArg₂ _ h h_one
rcases inst₁ with @⟨⟨⟩⟩; rcases inst₂ with @⟨⟨⟩⟩
congr
theorem AddCommMonoidWithOne.toAddMonoidWithOne_injective :
Function.Injective (@AddCommMonoidWithOne.toAddMonoidWithOne R) := by
rintro ⟨⟩ ⟨⟩ _; congr
@[ext] theorem AddCommMonoidWithOne.ext ⦃inst₁ inst₂ : AddCommMonoidWithOne R⦄
(h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂])
(h_one : (letI := inst₁; One.one : R) = (letI := inst₂; One.one : R)) :
inst₁ = inst₂ :=
AddCommMonoidWithOne.toAddMonoidWithOne_injective <|
AddMonoidWithOne.ext h_add h_one
namespace NonUnitalNonAssocRing
@[ext] theorem ext ⦃inst₁ inst₂ : NonUnitalNonAssocRing R⦄
(h_add : local_hAdd[R, inst₁] = local_hAdd[R, inst₂])
(h_mul : local_hMul[R, inst₁] = local_hMul[R, inst₂]) :
inst₁ = inst₂ := by
-- Split into `AddCommGroup` instance, `mul` function and properties.
rcases inst₁ with @⟨_, ⟨⟩⟩; rcases inst₂ with @⟨_, ⟨⟩⟩
congr; (ext : 1; assumption)
| Mathlib/Algebra/Ring/Ext.lean | 195 | 201 | theorem toNonUnitalNonAssocSemiring_injective :
Function.Injective (@toNonUnitalNonAssocSemiring R) := by |
intro _ _ h
-- Use above extensionality lemma to prove injectivity by showing that `h_add` and `h_mul` hold.
ext x y
· exact congrArg (·.toAdd.add x y) h
· exact congrArg (·.toMul.mul x y) h
|
import Mathlib.Topology.ContinuousFunction.Basic
#align_import topology.compact_open from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Set Filter TopologicalSpace
open scoped Topology
namespace ContinuousMap
section CompactOpen
variable {α X Y Z T : Type*}
variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace T]
variable {K : Set X} {U : Set Y}
#noalign continuous_map.compact_open.gen
#noalign continuous_map.gen_empty
#noalign continuous_map.gen_univ
#noalign continuous_map.gen_inter
#noalign continuous_map.gen_union
#noalign continuous_map.gen_empty_right
instance compactOpen : TopologicalSpace C(X, Y) :=
.generateFrom <| image2 (fun K U ↦ {f | MapsTo f K U}) {K | IsCompact K} {U | IsOpen U}
#align continuous_map.compact_open ContinuousMap.compactOpen
theorem compactOpen_eq : @compactOpen X Y _ _ =
.generateFrom (image2 (fun K U ↦ {f | MapsTo f K U}) {K | IsCompact K} {t | IsOpen t}) :=
rfl
theorem isOpen_setOf_mapsTo (hK : IsCompact K) (hU : IsOpen U) :
IsOpen {f : C(X, Y) | MapsTo f K U} :=
isOpen_generateFrom_of_mem <| mem_image2_of_mem hK hU
#align continuous_map.is_open_gen ContinuousMap.isOpen_setOf_mapsTo
lemma eventually_mapsTo {f : C(X, Y)} (hK : IsCompact K) (hU : IsOpen U) (h : MapsTo f K U) :
∀ᶠ g : C(X, Y) in 𝓝 f, MapsTo g K U :=
(isOpen_setOf_mapsTo hK hU).mem_nhds h
lemma nhds_compactOpen (f : C(X, Y)) :
𝓝 f = ⨅ (K : Set X) (_ : IsCompact K) (U : Set Y) (_ : IsOpen U) (_ : MapsTo f K U),
𝓟 {g : C(X, Y) | MapsTo g K U} := by
simp_rw [compactOpen_eq, nhds_generateFrom, mem_setOf_eq, @and_comm (f ∈ _), iInf_and,
← image_prod, iInf_image, biInf_prod, mem_setOf_eq]
lemma tendsto_nhds_compactOpen {l : Filter α} {f : α → C(Y, Z)} {g : C(Y, Z)} :
Tendsto f l (𝓝 g) ↔
∀ K, IsCompact K → ∀ U, IsOpen U → MapsTo g K U → ∀ᶠ a in l, MapsTo (f a) K U := by
simp [nhds_compactOpen]
lemma continuous_compactOpen {f : X → C(Y, Z)} :
Continuous f ↔ ∀ K, IsCompact K → ∀ U, IsOpen U → IsOpen {x | MapsTo (f x) K U} :=
continuous_generateFrom_iff.trans forall_image2_iff
section Coev
variable (X Y)
@[simps (config := .asFn)]
def coev (b : Y) : C(X, Y × X) :=
{ toFun := Prod.mk b }
#align continuous_map.coev ContinuousMap.coev
variable {X Y}
| Mathlib/Topology/CompactOpen.lean | 354 | 354 | theorem image_coev {y : Y} (s : Set X) : coev X Y y '' s = {y} ×ˢ s := by | simp
|
import Mathlib.Data.Nat.Prime
import Mathlib.Data.PNat.Basic
#align_import data.pnat.prime from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f"
namespace PNat
open Nat
def gcd (n m : ℕ+) : ℕ+ :=
⟨Nat.gcd (n : ℕ) (m : ℕ), Nat.gcd_pos_of_pos_left (m : ℕ) n.pos⟩
#align pnat.gcd PNat.gcd
def lcm (n m : ℕ+) : ℕ+ :=
⟨Nat.lcm (n : ℕ) (m : ℕ), by
let h := mul_pos n.pos m.pos
rw [← gcd_mul_lcm (n : ℕ) (m : ℕ), mul_comm] at h
exact pos_of_dvd_of_pos (Dvd.intro (Nat.gcd (n : ℕ) (m : ℕ)) rfl) h⟩
#align pnat.lcm PNat.lcm
@[simp, norm_cast]
theorem gcd_coe (n m : ℕ+) : (gcd n m : ℕ) = Nat.gcd n m :=
rfl
#align pnat.gcd_coe PNat.gcd_coe
@[simp, norm_cast]
theorem lcm_coe (n m : ℕ+) : (lcm n m : ℕ) = Nat.lcm n m :=
rfl
#align pnat.lcm_coe PNat.lcm_coe
theorem gcd_dvd_left (n m : ℕ+) : gcd n m ∣ n :=
dvd_iff.2 (Nat.gcd_dvd_left (n : ℕ) (m : ℕ))
#align pnat.gcd_dvd_left PNat.gcd_dvd_left
theorem gcd_dvd_right (n m : ℕ+) : gcd n m ∣ m :=
dvd_iff.2 (Nat.gcd_dvd_right (n : ℕ) (m : ℕ))
#align pnat.gcd_dvd_right PNat.gcd_dvd_right
theorem dvd_gcd {m n k : ℕ+} (hm : k ∣ m) (hn : k ∣ n) : k ∣ gcd m n :=
dvd_iff.2 (Nat.dvd_gcd (dvd_iff.1 hm) (dvd_iff.1 hn))
#align pnat.dvd_gcd PNat.dvd_gcd
theorem dvd_lcm_left (n m : ℕ+) : n ∣ lcm n m :=
dvd_iff.2 (Nat.dvd_lcm_left (n : ℕ) (m : ℕ))
#align pnat.dvd_lcm_left PNat.dvd_lcm_left
theorem dvd_lcm_right (n m : ℕ+) : m ∣ lcm n m :=
dvd_iff.2 (Nat.dvd_lcm_right (n : ℕ) (m : ℕ))
#align pnat.dvd_lcm_right PNat.dvd_lcm_right
theorem lcm_dvd {m n k : ℕ+} (hm : m ∣ k) (hn : n ∣ k) : lcm m n ∣ k :=
dvd_iff.2 (@Nat.lcm_dvd (m : ℕ) (n : ℕ) (k : ℕ) (dvd_iff.1 hm) (dvd_iff.1 hn))
#align pnat.lcm_dvd PNat.lcm_dvd
theorem gcd_mul_lcm (n m : ℕ+) : gcd n m * lcm n m = n * m :=
Subtype.eq (Nat.gcd_mul_lcm (n : ℕ) (m : ℕ))
#align pnat.gcd_mul_lcm PNat.gcd_mul_lcm
theorem eq_one_of_lt_two {n : ℕ+} : n < 2 → n = 1 := by
intro h; apply le_antisymm; swap
· apply PNat.one_le
· exact PNat.lt_add_one_iff.1 h
#align pnat.eq_one_of_lt_two PNat.eq_one_of_lt_two
section Prime
def Prime (p : ℕ+) : Prop :=
(p : ℕ).Prime
#align pnat.prime PNat.Prime
theorem Prime.one_lt {p : ℕ+} : p.Prime → 1 < p :=
Nat.Prime.one_lt
#align pnat.prime.one_lt PNat.Prime.one_lt
theorem prime_two : (2 : ℕ+).Prime :=
Nat.prime_two
#align pnat.prime_two PNat.prime_two
instance {p : ℕ+} [h : Fact p.Prime] : Fact (p : ℕ).Prime := h
instance fact_prime_two : Fact (2 : ℕ+).Prime :=
⟨prime_two⟩
theorem prime_three : (3 : ℕ+).Prime :=
Nat.prime_three
instance fact_prime_three : Fact (3 : ℕ+).Prime :=
⟨prime_three⟩
theorem prime_five : (5 : ℕ+).Prime :=
Nat.prime_five
instance fact_prime_five : Fact (5 : ℕ+).Prime :=
⟨prime_five⟩
| Mathlib/Data/PNat/Prime.lean | 144 | 147 | theorem dvd_prime {p m : ℕ+} (pp : p.Prime) : m ∣ p ↔ m = 1 ∨ m = p := by |
rw [PNat.dvd_iff]
rw [Nat.dvd_prime pp]
simp
|
import Mathlib.SetTheory.Ordinal.Basic
import Mathlib.Data.Nat.SuccPred
#align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
assert_not_exists Field
assert_not_exists Module
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop}
{t : γ → γ → Prop}
@[simp]
theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_add Ordinal.lift_add
@[simp]
theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by
rw [← add_one_eq_succ, lift_add, lift_one]
rfl
#align ordinal.lift_succ Ordinal.lift_succ
instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) :=
⟨fun a b c =>
inductionOn a fun α r hr =>
inductionOn b fun β₁ s₁ hs₁ =>
inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ =>
⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by
simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using
@InitialSeg.eq _ _ _ _ _
((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a
have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by
intro b; cases e : f (Sum.inr b)
· rw [← fl] at e
have := f.inj' e
contradiction
· exact ⟨_, rfl⟩
let g (b) := (this b).1
have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2
⟨⟨⟨g, fun x y h => by
injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩,
@fun a b => by
-- Porting note:
-- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding`
-- → `InitialSeg.coe_coe_fn`
simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using
@RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩,
fun a b H => by
rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩
· rw [fl] at h
cases h
· rw [fr] at h
exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩
#align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le
theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by
simp only [le_antisymm_iff, add_le_add_iff_left]
#align ordinal.add_left_cancel Ordinal.add_left_cancel
private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by
rw [← not_le, ← not_le, add_le_add_iff_left]
instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) :=
⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩
#align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt
instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) :=
⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩
#align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt
instance add_swap_contravariantClass_lt :
ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) :=
⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩
#align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt
theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b
| 0 => by simp
| n + 1 => by
simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right]
#align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right
theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by
simp only [le_antisymm_iff, add_le_add_iff_right]
#align ordinal.add_right_cancel Ordinal.add_right_cancel
theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 :=
inductionOn a fun α r _ =>
inductionOn b fun β s _ => by
simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty]
exact isEmpty_sum
#align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff
theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 :=
(add_eq_zero_iff.1 h).1
#align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero
theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 :=
(add_eq_zero_iff.1 h).2
#align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero
def pred (o : Ordinal) : Ordinal :=
if h : ∃ a, o = succ a then Classical.choose h else o
#align ordinal.pred Ordinal.pred
@[simp]
theorem pred_succ (o) : pred (succ o) = o := by
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩;
simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm
#align ordinal.pred_succ Ordinal.pred_succ
theorem pred_le_self (o) : pred o ≤ o :=
if h : ∃ a, o = succ a then by
let ⟨a, e⟩ := h
rw [e, pred_succ]; exact le_succ a
else by rw [pred, dif_neg h]
#align ordinal.pred_le_self Ordinal.pred_le_self
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a :=
⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩
#align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ
theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by
simpa using pred_eq_iff_not_succ
#align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ'
theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a :=
Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le])
(iff_not_comm.1 pred_eq_iff_not_succ).symm
#align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ
@[simp]
theorem pred_zero : pred 0 = 0 :=
pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm
#align ordinal.pred_zero Ordinal.pred_zero
theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a :=
⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩
#align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ
theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o :=
⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩
#align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ
theorem lt_pred {a b} : a < pred b ↔ succ a < b :=
if h : ∃ a, b = succ a then by
let ⟨c, e⟩ := h
rw [e, pred_succ, succ_lt_succ_iff]
else by simp only [pred, dif_neg h, succ_lt_of_not_succ h]
#align ordinal.lt_pred Ordinal.lt_pred
theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b :=
le_iff_le_iff_lt_iff_lt.2 lt_pred
#align ordinal.pred_le Ordinal.pred_le
@[simp]
theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a :=
⟨fun ⟨a, h⟩ =>
let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a
⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩,
fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩
#align ordinal.lift_is_succ Ordinal.lift_is_succ
@[simp]
theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) :=
if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ]
else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)]
#align ordinal.lift_pred Ordinal.lift_pred
def IsLimit (o : Ordinal) : Prop :=
o ≠ 0 ∧ ∀ a < o, succ a < o
#align ordinal.is_limit Ordinal.IsLimit
theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2
theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o :=
h.2 a
#align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt
theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot
theorem not_zero_isLimit : ¬IsLimit 0
| ⟨h, _⟩ => h rfl
#align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit
theorem not_succ_isLimit (o) : ¬IsLimit (succ o)
| ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o))
#align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit
theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a
| ⟨a, e⟩ => not_succ_isLimit a (e ▸ h)
#align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit
theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o :=
⟨(lt_succ a).trans, h.2 _⟩
#align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit
theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a :=
le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h
#align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit
theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a :=
⟨fun h _x l => l.le.trans h, fun H =>
(le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩
#align ordinal.limit_le Ordinal.limit_le
theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a)
#align ordinal.lt_limit Ordinal.lt_limit
@[simp]
theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o :=
and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0)
⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by
obtain ⟨a', rfl⟩ := lift_down h.le
rw [← lift_succ, lift_lt]
exact H a' (lift_lt.1 h)⟩
#align ordinal.lift_is_limit Ordinal.lift_isLimit
theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o :=
lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm
#align ordinal.is_limit.pos Ordinal.IsLimit.pos
theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by
simpa only [succ_zero] using h.2 _ h.pos
#align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt
theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o
| 0 => h.pos
| n + 1 => h.2 _ (IsLimit.nat_lt h n)
#align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt
theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o :=
if o0 : o = 0 then Or.inl o0
else
if h : ∃ a, o = succ a then Or.inr (Or.inl h)
else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩
#align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit
@[elab_as_elim]
def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o))
(H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o :=
SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦
if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩
#align ordinal.limit_rec_on Ordinal.limitRecOn
@[simp]
theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by
rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl]
#align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero
@[simp]
theorem limitRecOn_succ {C} (o H₁ H₂ H₃) :
@limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by
simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)]
#align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ
@[simp]
theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) :
@limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by
simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1]
#align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit
instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α :=
@OrderTop.mk _ _ (Top.mk _) le_enum_succ
#align ordinal.order_top_out_succ Ordinal.orderTopOutSucc
theorem enum_succ_eq_top {o : Ordinal} :
enum (· < ·) o
(by
rw [type_lt]
exact lt_succ o) =
(⊤ : (succ o).out.α) :=
rfl
#align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top
theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r]
(h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by
use enum r (succ (typein r x)) (h _ (typein_lt_type r x))
convert (enum_lt_enum (typein_lt_type r x)
(h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein]
#align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt
theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α :=
⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩
#align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt
theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) :
Bounded r {x} := by
refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩
intro b hb
rw [mem_singleton_iff.1 hb]
nth_rw 1 [← enum_typein r x]
rw [@enum_lt_enum _ r]
apply lt_succ
#align ordinal.bounded_singleton Ordinal.bounded_singleton
-- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance.
theorem type_subrel_lt (o : Ordinal.{u}) :
type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o })
= Ordinal.lift.{u + 1} o := by
refine Quotient.inductionOn o ?_
rintro ⟨α, r, wo⟩; apply Quotient.sound
-- Porting note: `symm; refine' [term]` → `refine' [term].symm`
constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm
#align ordinal.type_subrel_lt Ordinal.type_subrel_lt
theorem mk_initialSeg (o : Ordinal.{u}) :
#{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by
rw [lift_card, ← type_subrel_lt, card_type]
#align ordinal.mk_initial_seg Ordinal.mk_initialSeg
def IsNormal (f : Ordinal → Ordinal) : Prop :=
(∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a
#align ordinal.is_normal Ordinal.IsNormal
theorem IsNormal.limit_le {f} (H : IsNormal f) :
∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a :=
@H.2
#align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le
theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} :
a < f o ↔ ∃ b < o, a < f b :=
not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a
#align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt
theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b =>
limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _))
(fun _b IH h =>
(lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _)
fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h))
#align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono
theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f :=
H.strictMono.monotone
#align ordinal.is_normal.monotone Ordinal.IsNormal.monotone
theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) :
IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a :=
⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ =>
⟨fun a => hs (lt_succ a), fun a ha c =>
⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩
#align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit
theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b :=
StrictMono.lt_iff_lt <| H.strictMono
#align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff
theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_iff
#align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff
theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by
simp only [le_antisymm_iff, H.le_iff]
#align ordinal.is_normal.inj Ordinal.IsNormal.inj
theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a :=
lt_wf.self_le_of_strictMono H.strictMono a
#align ordinal.is_normal.self_le Ordinal.IsNormal.self_le
theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o :=
⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by
-- Porting note: `refine'` didn't work well so `induction` is used
induction b using limitRecOn with
| H₁ =>
cases' p0 with x px
have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px)
rw [this] at px
exact h _ px
| H₂ S _ =>
rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩
exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁)
| H₃ S L _ =>
refine (H.2 _ L _).2 fun a h' => ?_
rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩
exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩
#align ordinal.is_normal.le_set Ordinal.IsNormal.le_set
theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by
simpa [H₂] using H.le_set (g '' p) (p0.image g) b
#align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set'
theorem IsNormal.refl : IsNormal id :=
⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩
#align ordinal.is_normal.refl Ordinal.IsNormal.refl
theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) :=
⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a =>
H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩
#align ordinal.is_normal.trans Ordinal.IsNormal.trans
theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) :=
⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h =>
let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h
(succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩
#align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit
theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a :=
(H.self_le a).le_iff_eq
#align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq
theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c :=
⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H =>
le_of_not_lt <| by
-- Porting note: `induction` tactics are required because of the parser bug.
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
intro l
suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by
-- Porting note: `revert` & `intro` is required because `cases'` doesn't replace
-- `enum _ _ l` in `this`.
revert this; cases' enum _ _ l with x x <;> intro this
· cases this (enum s 0 h.pos)
· exact irrefl _ (this _)
intro x
rw [← typein_lt_typein (Sum.Lex r s), typein_enum]
have := H _ (h.2 _ (typein_lt_type s x))
rw [add_succ, succ_le_iff] at this
refine
(RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨a | b, h⟩
· exact Sum.inl a
· exact Sum.inr ⟨b, by cases h; assumption⟩
· rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;>
rintro ⟨⟩ <;> constructor <;> assumption⟩
#align ordinal.add_le_of_limit Ordinal.add_le_of_limit
theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) :=
⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩
#align ordinal.add_is_normal Ordinal.add_isNormal
theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) :=
(add_isNormal a).isLimit
#align ordinal.add_is_limit Ordinal.add_isLimit
alias IsLimit.add := add_isLimit
#align ordinal.is_limit.add Ordinal.IsLimit.add
theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty :=
⟨a, le_add_left _ _⟩
#align ordinal.sub_nonempty Ordinal.sub_nonempty
instance sub : Sub Ordinal :=
⟨fun a b => sInf { o | a ≤ b + o }⟩
theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) :=
csInf_mem sub_nonempty
#align ordinal.le_add_sub Ordinal.le_add_sub
theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c :=
⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩
#align ordinal.sub_le Ordinal.sub_le
theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b :=
lt_iff_lt_of_le_iff_le sub_le
#align ordinal.lt_sub Ordinal.lt_sub
theorem add_sub_cancel (a b : Ordinal) : a + b - a = b :=
le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _)
#align ordinal.add_sub_cancel Ordinal.add_sub_cancel
theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b :=
h ▸ add_sub_cancel _ _
#align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq
theorem sub_le_self (a b : Ordinal) : a - b ≤ a :=
sub_le.2 <| le_add_left _ _
#align ordinal.sub_le_self Ordinal.sub_le_self
protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a :=
(le_add_sub a b).antisymm'
(by
rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l)
· simp only [e, add_zero, h]
· rw [e, add_succ, succ_le_iff, ← lt_sub, e]
exact lt_succ c
· exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le)
#align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le
theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by
rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h]
#align ordinal.le_sub_of_le Ordinal.le_sub_of_le
theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c :=
lt_iff_lt_of_le_iff_le (le_sub_of_le h)
#align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le
instance existsAddOfLE : ExistsAddOfLE Ordinal :=
⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩
@[simp]
theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a
#align ordinal.sub_zero Ordinal.sub_zero
@[simp]
theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self
#align ordinal.zero_sub Ordinal.zero_sub
@[simp]
theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0
#align ordinal.sub_self Ordinal.sub_self
protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b :=
⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by
rwa [← Ordinal.le_zero, sub_le, add_zero]⟩
#align ordinal.sub_eq_zero_iff_le Ordinal.sub_eq_zero_iff_le
theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) :=
eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc]
#align ordinal.sub_sub Ordinal.sub_sub
@[simp]
theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by
rw [← sub_sub, add_sub_cancel]
#align ordinal.add_sub_add_cancel Ordinal.add_sub_add_cancel
theorem sub_isLimit {a b} (l : IsLimit a) (h : b < a) : IsLimit (a - b) :=
⟨ne_of_gt <| lt_sub.2 <| by rwa [add_zero], fun c h => by
rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩
#align ordinal.sub_is_limit Ordinal.sub_isLimit
-- @[simp] -- Porting note (#10618): simp can prove this
theorem one_add_omega : 1 + ω = ω := by
refine le_antisymm ?_ (le_add_left _ _)
rw [omega, ← lift_one.{_, 0}, ← lift_add, lift_le, ← type_unit, ← type_sum_lex]
refine ⟨RelEmbedding.collapse (RelEmbedding.ofMonotone ?_ ?_)⟩
· apply Sum.rec
· exact fun _ => 0
· exact Nat.succ
· intro a b
cases a <;> cases b <;> intro H <;> cases' H with _ _ H _ _ H <;>
[exact H.elim; exact Nat.succ_pos _; exact Nat.succ_lt_succ H]
#align ordinal.one_add_omega Ordinal.one_add_omega
@[simp]
theorem one_add_of_omega_le {o} (h : ω ≤ o) : 1 + o = o := by
rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, one_add_omega]
#align ordinal.one_add_of_omega_le Ordinal.one_add_of_omega_le
instance monoid : Monoid Ordinal.{u} where
mul a b :=
Quotient.liftOn₂ a b
(fun ⟨α, r, wo⟩ ⟨β, s, wo'⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ :
WellOrder → WellOrder → Ordinal)
fun ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩ =>
Quot.sound ⟨RelIso.prodLexCongr g f⟩
one := 1
mul_assoc a b c :=
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Eq.symm <|
Quotient.sound
⟨⟨prodAssoc _ _ _, @fun a b => by
rcases a with ⟨⟨a₁, a₂⟩, a₃⟩
rcases b with ⟨⟨b₁, b₂⟩, b₃⟩
simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩
mul_one a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨punitProd _, @fun a b => by
rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩
simp only [Prod.lex_def, EmptyRelation, false_or_iff]
simp only [eq_self_iff_true, true_and_iff]
rfl⟩⟩
one_mul a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨prodPUnit _, @fun a b => by
rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩
simp only [Prod.lex_def, EmptyRelation, and_false_iff, or_false_iff]
rfl⟩⟩
@[simp]
theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r]
[IsWellOrder β s] : type (Prod.Lex s r) = type r * type s :=
rfl
#align ordinal.type_prod_lex Ordinal.type_prod_lex
private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 :=
inductionOn a fun α _ _ =>
inductionOn b fun β _ _ => by
simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty]
rw [or_comm]
exact isEmpty_prod
instance monoidWithZero : MonoidWithZero Ordinal :=
{ Ordinal.monoid with
zero := 0
mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl
zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl }
instance noZeroDivisors : NoZeroDivisors Ordinal :=
⟨fun {_ _} => mul_eq_zero'.1⟩
@[simp]
theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _)
(RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_mul Ordinal.lift_mul
@[simp]
theorem card_mul (a b) : card (a * b) = card a * card b :=
Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α
#align ordinal.card_mul Ordinal.card_mul
instance leftDistribClass : LeftDistribClass Ordinal.{u} :=
⟨fun a b c =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Quotient.sound
⟨⟨sumProdDistrib _ _ _, by
rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;>
simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl,
Sum.lex_inr_inr, sumProdDistrib_apply_left, sumProdDistrib_apply_right] <;>
-- Porting note: `Sum.inr.inj_iff` is required.
simp only [Sum.inl.inj_iff, Sum.inr.inj_iff,
true_or_iff, false_and_iff, false_or_iff]⟩⟩⟩
theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a :=
mul_add_one a b
#align ordinal.mul_succ Ordinal.mul_succ
instance mul_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· * ·) (· ≤ ·) :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le
cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h'
· exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h')
· exact Prod.Lex.right _ h'⟩
#align ordinal.mul_covariant_class_le Ordinal.mul_covariantClass_le
instance mul_swap_covariantClass_le :
CovariantClass Ordinal.{u} Ordinal.{u} (swap (· * ·)) (· ≤ ·) :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le
cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h'
· exact Prod.Lex.left _ _ h'
· exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩
#align ordinal.mul_swap_covariant_class_le Ordinal.mul_swap_covariantClass_le
theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by
convert mul_le_mul_left' (one_le_iff_pos.2 hb) a
rw [mul_one a]
#align ordinal.le_mul_left Ordinal.le_mul_left
theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by
convert mul_le_mul_right' (one_le_iff_pos.2 hb) a
rw [one_mul a]
#align ordinal.le_mul_right Ordinal.le_mul_right
private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c}
(h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) :
False := by
suffices ∀ a b, Prod.Lex s r (b, a) (enum _ _ l) by
cases' enum _ _ l with b a
exact irrefl _ (this _ _)
intro a b
rw [← typein_lt_typein (Prod.Lex s r), typein_enum]
have := H _ (h.2 _ (typein_lt_type s b))
rw [mul_succ] at this
have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this
refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨⟨b', a'⟩, h⟩
by_cases e : b = b'
· refine Sum.inr ⟨a', ?_⟩
subst e
cases' h with _ _ _ _ h _ _ _ h
· exact (irrefl _ h).elim
· exact h
· refine Sum.inl (⟨b', ?_⟩, a')
cases' h with _ _ _ _ h _ _ _ h
· exact h
· exact (e rfl).elim
· rcases a with ⟨⟨b₁, a₁⟩, h₁⟩
rcases b with ⟨⟨b₂, a₂⟩, h₂⟩
intro h
by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂
· substs b₁ b₂
simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and_iff, false_or_iff,
eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h
· subst b₁
simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true,
or_false_iff, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and_iff] at h ⊢
cases' h₂ with _ _ _ _ h₂_h h₂_h <;> [exact asymm h h₂_h; exact e₂ rfl]
-- Porting note: `cc` hadn't ported yet.
· simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁]
· simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk,
Sum.lex_inl_inl] using h
theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c :=
⟨fun h b' l => (mul_le_mul_left' l.le _).trans h, fun H =>
-- Porting note: `induction` tactics are required because of the parser bug.
le_of_not_lt <| by
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
exact mul_le_of_limit_aux h H⟩
#align ordinal.mul_le_of_limit Ordinal.mul_le_of_limit
theorem mul_isNormal {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) :=
-- Porting note(#12129): additional beta reduction needed
⟨fun b => by
beta_reduce
rw [mul_succ]
simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h,
fun b l c => mul_le_of_limit l⟩
#align ordinal.mul_is_normal Ordinal.mul_isNormal
theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h)
#align ordinal.lt_mul_of_limit Ordinal.lt_mul_of_limit
theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c :=
(mul_isNormal a0).lt_iff
#align ordinal.mul_lt_mul_iff_left Ordinal.mul_lt_mul_iff_left
theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c :=
(mul_isNormal a0).le_iff
#align ordinal.mul_le_mul_iff_left Ordinal.mul_le_mul_iff_left
theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b :=
(mul_lt_mul_iff_left c0).2 h
#align ordinal.mul_lt_mul_of_pos_left Ordinal.mul_lt_mul_of_pos_left
theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by
simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁
#align ordinal.mul_pos Ordinal.mul_pos
theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by
simpa only [Ordinal.pos_iff_ne_zero] using mul_pos
#align ordinal.mul_ne_zero Ordinal.mul_ne_zero
theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b :=
le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h
#align ordinal.le_of_mul_le_mul_left Ordinal.le_of_mul_le_mul_left
theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c :=
(mul_isNormal a0).inj
#align ordinal.mul_right_inj Ordinal.mul_right_inj
theorem mul_isLimit {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) :=
(mul_isNormal a0).isLimit
#align ordinal.mul_is_limit Ordinal.mul_isLimit
theorem mul_isLimit_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by
rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb)
· exact b0.false.elim
· rw [mul_succ]
exact add_isLimit _ l
· exact mul_isLimit l.pos lb
#align ordinal.mul_is_limit_left Ordinal.mul_isLimit_left
theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n
| 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero]
| n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n]
#align ordinal.smul_eq_mul Ordinal.smul_eq_mul
theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty :=
⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by
simpa only [succ_zero, one_mul] using
mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩
#align ordinal.div_nonempty Ordinal.div_nonempty
instance div : Div Ordinal :=
⟨fun a b => if _h : b = 0 then 0 else sInf { o | a < b * succ o }⟩
@[simp]
theorem div_zero (a : Ordinal) : a / 0 = 0 :=
dif_pos rfl
#align ordinal.div_zero Ordinal.div_zero
theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } :=
dif_neg h
#align ordinal.div_def Ordinal.div_def
theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by
rw [div_def a h]; exact csInf_mem (div_nonempty h)
#align ordinal.lt_mul_succ_div Ordinal.lt_mul_succ_div
theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by
simpa only [mul_succ] using lt_mul_succ_div a h
#align ordinal.lt_mul_div_add Ordinal.lt_mul_div_add
theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c :=
⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by
rw [div_def a b0]; exact csInf_le' h⟩
#align ordinal.div_le Ordinal.div_le
theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by
rw [← not_le, div_le h, not_lt]
#align ordinal.lt_div Ordinal.lt_div
theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h]
#align ordinal.div_pos Ordinal.div_pos
theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by
induction a using limitRecOn with
| H₁ => simp only [mul_zero, Ordinal.zero_le]
| H₂ _ _ => rw [succ_le_iff, lt_div c0]
| H₃ _ h₁ h₂ =>
revert h₁ h₂
simp (config := { contextual := true }) only [mul_le_of_limit, limit_le, iff_self_iff,
forall_true_iff]
#align ordinal.le_div Ordinal.le_div
theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c :=
lt_iff_lt_of_le_iff_le <| le_div b0
#align ordinal.div_lt Ordinal.div_lt
theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c :=
if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le]
else
(div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0)
#align ordinal.div_le_of_le_mul Ordinal.div_le_of_le_mul
theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b :=
lt_imp_lt_of_le_imp_le div_le_of_le_mul
#align ordinal.mul_lt_of_lt_div Ordinal.mul_lt_of_lt_div
@[simp]
theorem zero_div (a : Ordinal) : 0 / a = 0 :=
Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _
#align ordinal.zero_div Ordinal.zero_div
theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a :=
if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl
#align ordinal.mul_div_le Ordinal.mul_div_le
theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by
apply le_antisymm
· apply (div_le b0).2
rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left]
apply lt_mul_div_add _ b0
· rw [le_div b0, mul_add, add_le_add_iff_left]
apply mul_div_le
#align ordinal.mul_add_div Ordinal.mul_add_div
theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by
rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h]
simpa only [succ_zero, mul_one] using h
#align ordinal.div_eq_zero_of_lt Ordinal.div_eq_zero_of_lt
@[simp]
theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by
simpa only [add_zero, zero_div] using mul_add_div a b0 0
#align ordinal.mul_div_cancel Ordinal.mul_div_cancel
@[simp]
theorem div_one (a : Ordinal) : a / 1 = a := by
simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero
#align ordinal.div_one Ordinal.div_one
@[simp]
theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by
simpa only [mul_one] using mul_div_cancel 1 h
#align ordinal.div_self Ordinal.div_self
theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c :=
if a0 : a = 0 then by simp only [a0, zero_mul, sub_self]
else
eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0]
#align ordinal.mul_sub Ordinal.mul_sub
theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by
constructor <;> intro h
· by_cases h' : b = 0
· rw [h', add_zero] at h
right
exact ⟨h', h⟩
left
rw [← add_sub_cancel a b]
apply sub_isLimit h
suffices a + 0 < a + b by simpa only [add_zero] using this
rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero]
rcases h with (h | ⟨rfl, h⟩)
· exact add_isLimit a h
· simpa only [add_zero]
#align ordinal.is_limit_add_iff Ordinal.isLimit_add_iff
theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c)
| a, _, c, ⟨b, rfl⟩ =>
⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by
rw [e, ← mul_add]
apply dvd_mul_right⟩
#align ordinal.dvd_add_iff Ordinal.dvd_add_iff
theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b
| a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0]
#align ordinal.div_mul_cancel Ordinal.div_mul_cancel
theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b
-- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e`
| a, _, b0, ⟨b, e⟩ => by
subst e
-- Porting note: `Ne` is required.
simpa only [mul_one] using
mul_le_mul_left'
(one_le_iff_ne_zero.2 fun h : b = 0 => by
simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a
#align ordinal.le_of_dvd Ordinal.le_of_dvd
theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b :=
if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm
else
if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂
else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂)
#align ordinal.dvd_antisymm Ordinal.dvd_antisymm
instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) :=
⟨@dvd_antisymm⟩
instance mod : Mod Ordinal :=
⟨fun a b => a - b * (a / b)⟩
theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) :=
rfl
#align ordinal.mod_def Ordinal.mod_def
theorem mod_le (a b : Ordinal) : a % b ≤ a :=
sub_le_self a _
#align ordinal.mod_le Ordinal.mod_le
@[simp]
theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero]
#align ordinal.mod_zero Ordinal.mod_zero
theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by
simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero]
#align ordinal.mod_eq_of_lt Ordinal.mod_eq_of_lt
@[simp]
theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self]
#align ordinal.zero_mod Ordinal.zero_mod
theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a :=
Ordinal.add_sub_cancel_of_le <| mul_div_le _ _
#align ordinal.div_add_mod Ordinal.div_add_mod
theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b :=
(add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h
#align ordinal.mod_lt Ordinal.mod_lt
@[simp]
theorem mod_self (a : Ordinal) : a % a = 0 :=
if a0 : a = 0 then by simp only [a0, zero_mod]
else by simp only [mod_def, div_self a0, mul_one, sub_self]
#align ordinal.mod_self Ordinal.mod_self
@[simp]
theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self]
#align ordinal.mod_one Ordinal.mod_one
theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a :=
⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩
#align ordinal.dvd_of_mod_eq_zero Ordinal.dvd_of_mod_eq_zero
theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by
rcases H with ⟨c, rfl⟩
rcases eq_or_ne b 0 with (rfl | hb)
· simp
· simp [mod_def, hb]
#align ordinal.mod_eq_zero_of_dvd Ordinal.mod_eq_zero_of_dvd
theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 :=
⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩
#align ordinal.dvd_iff_mod_eq_zero Ordinal.dvd_iff_mod_eq_zero
@[simp]
theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by
rcases eq_or_ne x 0 with rfl | hx
· simp
· rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def]
#align ordinal.mul_add_mod_self Ordinal.mul_add_mod_self
@[simp]
theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by
simpa using mul_add_mod_self x y 0
#align ordinal.mul_mod Ordinal.mul_mod
theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by
nth_rw 2 [← div_add_mod a b]
rcases h with ⟨d, rfl⟩
rw [mul_assoc, mul_add_mod_self]
#align ordinal.mod_mod_of_dvd Ordinal.mod_mod_of_dvd
@[simp]
theorem mod_mod (a b : Ordinal) : a % b % b = a % b :=
mod_mod_of_dvd a dvd_rfl
#align ordinal.mod_mod Ordinal.mod_mod
def bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) :
∀ a < type r, α := fun a ha => f (enum r a ha)
#align ordinal.bfamily_of_family' Ordinal.bfamilyOfFamily'
def bfamilyOfFamily {ι : Type u} : (ι → α) → ∀ a < type (@WellOrderingRel ι), α :=
bfamilyOfFamily' WellOrderingRel
#align ordinal.bfamily_of_family Ordinal.bfamilyOfFamily
def familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o)
(f : ∀ a < o, α) : ι → α := fun i =>
f (typein r i)
(by
rw [← ho]
exact typein_lt_type r i)
#align ordinal.family_of_bfamily' Ordinal.familyOfBFamily'
def familyOfBFamily (o : Ordinal) (f : ∀ a < o, α) : o.out.α → α :=
familyOfBFamily' (· < ·) (type_lt o) f
#align ordinal.family_of_bfamily Ordinal.familyOfBFamily
@[simp]
theorem bfamilyOfFamily'_typein {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (i) :
bfamilyOfFamily' r f (typein r i) (typein_lt_type r i) = f i := by
simp only [bfamilyOfFamily', enum_typein]
#align ordinal.bfamily_of_family'_typein Ordinal.bfamilyOfFamily'_typein
@[simp]
theorem bfamilyOfFamily_typein {ι} (f : ι → α) (i) :
bfamilyOfFamily f (typein _ i) (typein_lt_type _ i) = f i :=
bfamilyOfFamily'_typein _ f i
#align ordinal.bfamily_of_family_typein Ordinal.bfamilyOfFamily_typein
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem familyOfBFamily'_enum {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) (i hi) :
familyOfBFamily' r ho f (enum r i (by rwa [ho])) = f i hi := by
simp only [familyOfBFamily', typein_enum]
#align ordinal.family_of_bfamily'_enum Ordinal.familyOfBFamily'_enum
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem familyOfBFamily_enum (o : Ordinal) (f : ∀ a < o, α) (i hi) :
familyOfBFamily o f
(enum (· < ·) i
(by
convert hi
exact type_lt _)) =
f i hi :=
familyOfBFamily'_enum _ (type_lt o) f _ _
#align ordinal.family_of_bfamily_enum Ordinal.familyOfBFamily_enum
def brange (o : Ordinal) (f : ∀ a < o, α) : Set α :=
{ a | ∃ i hi, f i hi = a }
#align ordinal.brange Ordinal.brange
theorem mem_brange {o : Ordinal} {f : ∀ a < o, α} {a} : a ∈ brange o f ↔ ∃ i hi, f i hi = a :=
Iff.rfl
#align ordinal.mem_brange Ordinal.mem_brange
theorem mem_brange_self {o} (f : ∀ a < o, α) (i hi) : f i hi ∈ brange o f :=
⟨i, hi, rfl⟩
#align ordinal.mem_brange_self Ordinal.mem_brange_self
@[simp]
theorem range_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) : range (familyOfBFamily' r ho f) = brange o f := by
refine Set.ext fun a => ⟨?_, ?_⟩
· rintro ⟨b, rfl⟩
apply mem_brange_self
· rintro ⟨i, hi, rfl⟩
exact ⟨_, familyOfBFamily'_enum _ _ _ _ _⟩
#align ordinal.range_family_of_bfamily' Ordinal.range_familyOfBFamily'
@[simp]
theorem range_familyOfBFamily {o} (f : ∀ a < o, α) : range (familyOfBFamily o f) = brange o f :=
range_familyOfBFamily' _ _ f
#align ordinal.range_family_of_bfamily Ordinal.range_familyOfBFamily
@[simp]
theorem brange_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) :
brange _ (bfamilyOfFamily' r f) = range f := by
refine Set.ext fun a => ⟨?_, ?_⟩
· rintro ⟨i, hi, rfl⟩
apply mem_range_self
· rintro ⟨b, rfl⟩
exact ⟨_, _, bfamilyOfFamily'_typein _ _ _⟩
#align ordinal.brange_bfamily_of_family' Ordinal.brange_bfamilyOfFamily'
@[simp]
theorem brange_bfamilyOfFamily {ι : Type u} (f : ι → α) : brange _ (bfamilyOfFamily f) = range f :=
brange_bfamilyOfFamily' _ _
#align ordinal.brange_bfamily_of_family Ordinal.brange_bfamilyOfFamily
@[simp]
theorem brange_const {o : Ordinal} (ho : o ≠ 0) {c : α} : (brange o fun _ _ => c) = {c} := by
rw [← range_familyOfBFamily]
exact @Set.range_const _ o.out.α (out_nonempty_iff_ne_zero.2 ho) c
#align ordinal.brange_const Ordinal.brange_const
theorem comp_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α)
(g : α → β) : (fun i hi => g (bfamilyOfFamily' r f i hi)) = bfamilyOfFamily' r (g ∘ f) :=
rfl
#align ordinal.comp_bfamily_of_family' Ordinal.comp_bfamilyOfFamily'
theorem comp_bfamilyOfFamily {ι : Type u} (f : ι → α) (g : α → β) :
(fun i hi => g (bfamilyOfFamily f i hi)) = bfamilyOfFamily (g ∘ f) :=
rfl
#align ordinal.comp_bfamily_of_family Ordinal.comp_bfamilyOfFamily
theorem comp_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) (g : α → β) :
g ∘ familyOfBFamily' r ho f = familyOfBFamily' r ho fun i hi => g (f i hi) :=
rfl
#align ordinal.comp_family_of_bfamily' Ordinal.comp_familyOfBFamily'
theorem comp_familyOfBFamily {o} (f : ∀ a < o, α) (g : α → β) :
g ∘ familyOfBFamily o f = familyOfBFamily o fun i hi => g (f i hi) :=
rfl
#align ordinal.comp_family_of_bfamily Ordinal.comp_familyOfBFamily
-- Porting note: Universes should be specified in `sup`s.
def sup {ι : Type u} (f : ι → Ordinal.{max u v}) : Ordinal.{max u v} :=
iSup f
#align ordinal.sup Ordinal.sup
@[simp]
theorem sSup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : sSup (Set.range f) = sup.{_, v} f :=
rfl
#align ordinal.Sup_eq_sup Ordinal.sSup_eq_sup
theorem bddAbove_range {ι : Type u} (f : ι → Ordinal.{max u v}) : BddAbove (Set.range f) :=
⟨(iSup (succ ∘ card ∘ f)).ord, by
rintro a ⟨i, rfl⟩
exact le_of_lt (Cardinal.lt_ord.2 ((lt_succ _).trans_le
(le_ciSup (Cardinal.bddAbove_range.{_, v} _) _)))⟩
#align ordinal.bdd_above_range Ordinal.bddAbove_range
theorem le_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : ∀ i, f i ≤ sup.{_, v} f := fun i =>
le_csSup (bddAbove_range.{_, v} f) (mem_range_self i)
#align ordinal.le_sup Ordinal.le_sup
theorem sup_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : sup.{_, v} f ≤ a ↔ ∀ i, f i ≤ a :=
(csSup_le_iff' (bddAbove_range.{_, v} f)).trans (by simp)
#align ordinal.sup_le_iff Ordinal.sup_le_iff
theorem sup_le {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : (∀ i, f i ≤ a) → sup.{_, v} f ≤ a :=
sup_le_iff.2
#align ordinal.sup_le Ordinal.sup_le
theorem lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : a < sup.{_, v} f ↔ ∃ i, a < f i := by
simpa only [not_forall, not_le] using not_congr (@sup_le_iff.{_, v} _ f a)
#align ordinal.lt_sup Ordinal.lt_sup
theorem ne_sup_iff_lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} :
(∀ i, f i ≠ sup.{_, v} f) ↔ ∀ i, f i < sup.{_, v} f :=
⟨fun hf _ => lt_of_le_of_ne (le_sup _ _) (hf _), fun hf _ => ne_of_lt (hf _)⟩
#align ordinal.ne_sup_iff_lt_sup Ordinal.ne_sup_iff_lt_sup
theorem sup_not_succ_of_ne_sup {ι : Type u} {f : ι → Ordinal.{max u v}}
(hf : ∀ i, f i ≠ sup.{_, v} f) {a} (hao : a < sup.{_, v} f) : succ a < sup.{_, v} f := by
by_contra! hoa
exact
hao.not_le (sup_le fun i => le_of_lt_succ <| (lt_of_le_of_ne (le_sup _ _) (hf i)).trans_le hoa)
#align ordinal.sup_not_succ_of_ne_sup Ordinal.sup_not_succ_of_ne_sup
@[simp]
theorem sup_eq_zero_iff {ι : Type u} {f : ι → Ordinal.{max u v}} :
sup.{_, v} f = 0 ↔ ∀ i, f i = 0 := by
refine
⟨fun h i => ?_, fun h =>
le_antisymm (sup_le fun i => Ordinal.le_zero.2 (h i)) (Ordinal.zero_le _)⟩
rw [← Ordinal.le_zero, ← h]
exact le_sup f i
#align ordinal.sup_eq_zero_iff Ordinal.sup_eq_zero_iff
theorem IsNormal.sup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f) {ι : Type u}
(g : ι → Ordinal.{max u v}) [Nonempty ι] : f (sup.{_, v} g) = sup.{_, w} (f ∘ g) :=
eq_of_forall_ge_iff fun a => by
rw [sup_le_iff]; simp only [comp]; rw [H.le_set' Set.univ Set.univ_nonempty g] <;>
simp [sup_le_iff]
#align ordinal.is_normal.sup Ordinal.IsNormal.sup
@[simp]
theorem sup_empty {ι} [IsEmpty ι] (f : ι → Ordinal) : sup f = 0 :=
ciSup_of_empty f
#align ordinal.sup_empty Ordinal.sup_empty
@[simp]
theorem sup_const {ι} [_hι : Nonempty ι] (o : Ordinal) : (sup fun _ : ι => o) = o :=
ciSup_const
#align ordinal.sup_const Ordinal.sup_const
@[simp]
theorem sup_unique {ι} [Unique ι] (f : ι → Ordinal) : sup f = f default :=
ciSup_unique
#align ordinal.sup_unique Ordinal.sup_unique
theorem sup_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f ⊆ Set.range g) : sup.{u, max v w} f ≤ sup.{v, max u w} g :=
sup_le fun i =>
match h (mem_range_self i) with
| ⟨_j, hj⟩ => hj ▸ le_sup _ _
#align ordinal.sup_le_of_range_subset Ordinal.sup_le_of_range_subset
theorem sup_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f = Set.range g) : sup.{u, max v w} f = sup.{v, max u w} g :=
(sup_le_of_range_subset.{u, v, w} h.le).antisymm (sup_le_of_range_subset.{v, u, w} h.ge)
#align ordinal.sup_eq_of_range_eq Ordinal.sup_eq_of_range_eq
@[simp]
theorem sup_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) :
sup.{max u v, w} f =
max (sup.{u, max v w} fun a => f (Sum.inl a)) (sup.{v, max u w} fun b => f (Sum.inr b)) := by
apply (sup_le_iff.2 _).antisymm (max_le_iff.2 ⟨_, _⟩)
· rintro (i | i)
· exact le_max_of_le_left (le_sup _ i)
· exact le_max_of_le_right (le_sup _ i)
all_goals
apply sup_le_of_range_subset.{_, max u v, w}
rintro i ⟨a, rfl⟩
apply mem_range_self
#align ordinal.sup_sum Ordinal.sup_sum
theorem unbounded_range_of_sup_ge {α β : Type u} (r : α → α → Prop) [IsWellOrder α r] (f : β → α)
(h : type r ≤ sup.{u, u} (typein r ∘ f)) : Unbounded r (range f) :=
(not_bounded_iff _).1 fun ⟨x, hx⟩ =>
not_lt_of_le h <|
lt_of_le_of_lt
(sup_le fun y => le_of_lt <| (typein_lt_typein r).2 <| hx _ <| mem_range_self y)
(typein_lt_type r x)
#align ordinal.unbounded_range_of_sup_ge Ordinal.unbounded_range_of_sup_ge
theorem le_sup_shrink_equiv {s : Set Ordinal.{u}} (hs : Small.{u} s) (a) (ha : a ∈ s) :
a ≤ sup.{u, u} fun x => ((@equivShrink s hs).symm x).val := by
convert le_sup.{u, u} (fun x => ((@equivShrink s hs).symm x).val) ((@equivShrink s hs) ⟨a, ha⟩)
rw [symm_apply_apply]
#align ordinal.le_sup_shrink_equiv Ordinal.le_sup_shrink_equiv
instance small_Iio (o : Ordinal.{u}) : Small.{u} (Set.Iio o) :=
let f : o.out.α → Set.Iio o :=
fun x => ⟨typein ((· < ·) : o.out.α → o.out.α → Prop) x, typein_lt_self x⟩
let hf : Surjective f := fun b =>
⟨enum (· < ·) b.val
(by
rw [type_lt]
exact b.prop),
Subtype.ext (typein_enum _ _)⟩
small_of_surjective hf
#align ordinal.small_Iio Ordinal.small_Iio
instance small_Iic (o : Ordinal.{u}) : Small.{u} (Set.Iic o) := by
rw [← Iio_succ]
infer_instance
#align ordinal.small_Iic Ordinal.small_Iic
theorem bddAbove_iff_small {s : Set Ordinal.{u}} : BddAbove s ↔ Small.{u} s :=
⟨fun ⟨a, h⟩ => small_subset <| show s ⊆ Iic a from fun _x hx => h hx, fun h =>
⟨sup.{u, u} fun x => ((@equivShrink s h).symm x).val, le_sup_shrink_equiv h⟩⟩
#align ordinal.bdd_above_iff_small Ordinal.bddAbove_iff_small
theorem bddAbove_of_small (s : Set Ordinal.{u}) [h : Small.{u} s] : BddAbove s :=
bddAbove_iff_small.2 h
#align ordinal.bdd_above_of_small Ordinal.bddAbove_of_small
theorem sup_eq_sSup {s : Set Ordinal.{u}} (hs : Small.{u} s) :
(sup.{u, u} fun x => (@equivShrink s hs).symm x) = sSup s :=
let hs' := bddAbove_iff_small.2 hs
((csSup_le_iff' hs').2 (le_sup_shrink_equiv hs)).antisymm'
(sup_le fun _x => le_csSup hs' (Subtype.mem _))
#align ordinal.sup_eq_Sup Ordinal.sup_eq_sSup
theorem sSup_ord {s : Set Cardinal.{u}} (hs : BddAbove s) : (sSup s).ord = sSup (ord '' s) :=
eq_of_forall_ge_iff fun a => by
rw [csSup_le_iff'
(bddAbove_iff_small.2 (@small_image _ _ _ s (Cardinal.bddAbove_iff_small.1 hs))),
ord_le, csSup_le_iff' hs]
simp [ord_le]
#align ordinal.Sup_ord Ordinal.sSup_ord
theorem iSup_ord {ι} {f : ι → Cardinal} (hf : BddAbove (range f)) :
(iSup f).ord = ⨆ i, (f i).ord := by
unfold iSup
convert sSup_ord hf
-- Porting note: `change` is required.
conv_lhs => change range (ord ∘ f)
rw [range_comp]
#align ordinal.supr_ord Ordinal.iSup_ord
private theorem sup_le_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop)
[IsWellOrder ι r] [IsWellOrder ι' r'] {o} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily' r ho f) ≤ sup.{_, v} (familyOfBFamily' r' ho' f) :=
sup_le fun i => by
cases'
typein_surj r'
(by
rw [ho', ← ho]
exact typein_lt_type r i) with
j hj
simp_rw [familyOfBFamily', ← hj]
apply le_sup
theorem sup_eq_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r]
[IsWellOrder ι' r'] {o : Ordinal.{u}} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily' r ho f) = sup.{_, v} (familyOfBFamily' r' ho' f) :=
sup_eq_of_range_eq.{u, u, v} (by simp)
#align ordinal.sup_eq_sup Ordinal.sup_eq_sup
def bsup (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : Ordinal.{max u v} :=
sup.{_, v} (familyOfBFamily o f)
#align ordinal.bsup Ordinal.bsup
@[simp]
theorem sup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily o f) = bsup.{_, v} o f :=
rfl
#align ordinal.sup_eq_bsup Ordinal.sup_eq_bsup
@[simp]
theorem sup_eq_bsup' {o : Ordinal.{u}} {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (ho : type r = o)
(f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily' r ho f) = bsup.{_, v} o f :=
sup_eq_sup r _ ho _ f
#align ordinal.sup_eq_bsup' Ordinal.sup_eq_bsup'
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem sSup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
sSup (brange o f) = bsup.{_, v} o f := by
congr
rw [range_familyOfBFamily]
#align ordinal.Sup_eq_bsup Ordinal.sSup_eq_bsup
@[simp]
theorem bsup_eq_sup' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily' r f) = sup.{_, v} f := by
simp (config := { unfoldPartialApp := true }) only [← sup_eq_bsup' r, enum_typein,
familyOfBFamily', bfamilyOfFamily']
#align ordinal.bsup_eq_sup' Ordinal.bsup_eq_sup'
theorem bsup_eq_bsup {ι : Type u} (r r' : ι → ι → Prop) [IsWellOrder ι r] [IsWellOrder ι r']
(f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily' r f) = bsup.{_, v} _ (bfamilyOfFamily' r' f) := by
rw [bsup_eq_sup', bsup_eq_sup']
#align ordinal.bsup_eq_bsup Ordinal.bsup_eq_bsup
@[simp]
theorem bsup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily f) = sup.{_, v} f :=
bsup_eq_sup' _ f
#align ordinal.bsup_eq_sup Ordinal.bsup_eq_sup
@[congr]
theorem bsup_congr {o₁ o₂ : Ordinal.{u}} (f : ∀ a < o₁, Ordinal.{max u v}) (ho : o₁ = o₂) :
bsup.{_, v} o₁ f = bsup.{_, v} o₂ fun a h => f a (h.trans_eq ho.symm) := by
subst ho
-- Porting note: `rfl` is required.
rfl
#align ordinal.bsup_congr Ordinal.bsup_congr
theorem bsup_le_iff {o f a} : bsup.{u, v} o f ≤ a ↔ ∀ i h, f i h ≤ a :=
sup_le_iff.trans
⟨fun h i hi => by
rw [← familyOfBFamily_enum o f]
exact h _, fun h i => h _ _⟩
#align ordinal.bsup_le_iff Ordinal.bsup_le_iff
theorem bsup_le {o : Ordinal} {f : ∀ b < o, Ordinal} {a} :
(∀ i h, f i h ≤ a) → bsup.{u, v} o f ≤ a :=
bsup_le_iff.2
#align ordinal.bsup_le Ordinal.bsup_le
theorem le_bsup {o} (f : ∀ a < o, Ordinal) (i h) : f i h ≤ bsup o f :=
bsup_le_iff.1 le_rfl _ _
#align ordinal.le_bsup Ordinal.le_bsup
theorem lt_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) {a} :
a < bsup.{_, v} o f ↔ ∃ i hi, a < f i hi := by
simpa only [not_forall, not_le] using not_congr (@bsup_le_iff.{_, v} _ f a)
#align ordinal.lt_bsup Ordinal.lt_bsup
theorem IsNormal.bsup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f)
{o : Ordinal.{u}} :
∀ (g : ∀ a < o, Ordinal), o ≠ 0 → f (bsup.{_, v} o g) = bsup.{_, w} o fun a h => f (g a h) :=
inductionOn o fun α r _ g h => by
haveI := type_ne_zero_iff_nonempty.1 h
rw [← sup_eq_bsup' r, IsNormal.sup.{_, v, w} H, ← sup_eq_bsup' r] <;> rfl
#align ordinal.is_normal.bsup Ordinal.IsNormal.bsup
theorem lt_bsup_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}} :
(∀ i h, f i h ≠ bsup.{_, v} o f) ↔ ∀ i h, f i h < bsup.{_, v} o f :=
⟨fun hf _ _ => lt_of_le_of_ne (le_bsup _ _ _) (hf _ _), fun hf _ _ => ne_of_lt (hf _ _)⟩
#align ordinal.lt_bsup_of_ne_bsup Ordinal.lt_bsup_of_ne_bsup
theorem bsup_not_succ_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}}
(hf : ∀ {i : Ordinal} (h : i < o), f i h ≠ bsup.{_, v} o f) (a) :
a < bsup.{_, v} o f → succ a < bsup.{_, v} o f := by
rw [← sup_eq_bsup] at *
exact sup_not_succ_of_ne_sup fun i => hf _
#align ordinal.bsup_not_succ_of_ne_bsup Ordinal.bsup_not_succ_of_ne_bsup
@[simp]
theorem bsup_eq_zero_iff {o} {f : ∀ a < o, Ordinal} : bsup o f = 0 ↔ ∀ i hi, f i hi = 0 := by
refine
⟨fun h i hi => ?_, fun h =>
le_antisymm (bsup_le fun i hi => Ordinal.le_zero.2 (h i hi)) (Ordinal.zero_le _)⟩
rw [← Ordinal.le_zero, ← h]
exact le_bsup f i hi
#align ordinal.bsup_eq_zero_iff Ordinal.bsup_eq_zero_iff
theorem lt_bsup_of_limit {o : Ordinal} {f : ∀ a < o, Ordinal}
(hf : ∀ {a a'} (ha : a < o) (ha' : a' < o), a < a' → f a ha < f a' ha')
(ho : ∀ a < o, succ a < o) (i h) : f i h < bsup o f :=
(hf _ _ <| lt_succ i).trans_le (le_bsup f (succ i) <| ho _ h)
#align ordinal.lt_bsup_of_limit Ordinal.lt_bsup_of_limit
theorem bsup_succ_of_mono {o : Ordinal} {f : ∀ a < succ o, Ordinal}
(hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) : bsup _ f = f o (lt_succ o) :=
le_antisymm (bsup_le fun _i hi => hf _ _ <| le_of_lt_succ hi) (le_bsup _ _ _)
#align ordinal.bsup_succ_of_mono Ordinal.bsup_succ_of_mono
@[simp]
theorem bsup_zero (f : ∀ a < (0 : Ordinal), Ordinal) : bsup 0 f = 0 :=
bsup_eq_zero_iff.2 fun i hi => (Ordinal.not_lt_zero i hi).elim
#align ordinal.bsup_zero Ordinal.bsup_zero
theorem bsup_const {o : Ordinal.{u}} (ho : o ≠ 0) (a : Ordinal.{max u v}) :
(bsup.{_, v} o fun _ _ => a) = a :=
le_antisymm (bsup_le fun _ _ => le_rfl) (le_bsup _ 0 (Ordinal.pos_iff_ne_zero.2 ho))
#align ordinal.bsup_const Ordinal.bsup_const
@[simp]
theorem bsup_one (f : ∀ a < (1 : Ordinal), Ordinal) : bsup 1 f = f 0 zero_lt_one := by
simp_rw [← sup_eq_bsup, sup_unique, familyOfBFamily, familyOfBFamily', typein_one_out]
#align ordinal.bsup_one Ordinal.bsup_one
theorem bsup_le_of_brange_subset {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f ⊆ brange o' g) : bsup.{u, max v w} o f ≤ bsup.{v, max u w} o' g :=
bsup_le fun i hi => by
obtain ⟨j, hj, hj'⟩ := h ⟨i, hi, rfl⟩
rw [← hj']
apply le_bsup
#align ordinal.bsup_le_of_brange_subset Ordinal.bsup_le_of_brange_subset
theorem bsup_eq_of_brange_eq {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f = brange o' g) : bsup.{u, max v w} o f = bsup.{v, max u w} o' g :=
(bsup_le_of_brange_subset.{u, v, w} h.le).antisymm (bsup_le_of_brange_subset.{v, u, w} h.ge)
#align ordinal.bsup_eq_of_brange_eq Ordinal.bsup_eq_of_brange_eq
def lsub {ι} (f : ι → Ordinal) : Ordinal :=
sup (succ ∘ f)
#align ordinal.lsub Ordinal.lsub
@[simp]
theorem sup_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} (succ ∘ f) = lsub.{_, v} f :=
rfl
#align ordinal.sup_eq_lsub Ordinal.sup_eq_lsub
theorem lsub_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} :
lsub.{_, v} f ≤ a ↔ ∀ i, f i < a := by
convert sup_le_iff.{_, v} (f := succ ∘ f) (a := a) using 2
-- Porting note: `comp_apply` is required.
simp only [comp_apply, succ_le_iff]
#align ordinal.lsub_le_iff Ordinal.lsub_le_iff
theorem lsub_le {ι} {f : ι → Ordinal} {a} : (∀ i, f i < a) → lsub f ≤ a :=
lsub_le_iff.2
#align ordinal.lsub_le Ordinal.lsub_le
theorem lt_lsub {ι} (f : ι → Ordinal) (i) : f i < lsub f :=
succ_le_iff.1 (le_sup _ i)
#align ordinal.lt_lsub Ordinal.lt_lsub
theorem lt_lsub_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} :
a < lsub.{_, v} f ↔ ∃ i, a ≤ f i := by
simpa only [not_forall, not_lt, not_le] using not_congr (@lsub_le_iff.{_, v} _ f a)
#align ordinal.lt_lsub_iff Ordinal.lt_lsub_iff
theorem sup_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f ≤ lsub.{_, v} f :=
sup_le fun i => (lt_lsub f i).le
#align ordinal.sup_le_lsub Ordinal.sup_le_lsub
theorem lsub_le_sup_succ {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f ≤ succ (sup.{_, v} f) :=
lsub_le fun i => lt_succ_iff.2 (le_sup f i)
#align ordinal.lsub_le_sup_succ Ordinal.lsub_le_sup_succ
theorem sup_eq_lsub_or_sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ∨ succ (sup.{_, v} f) = lsub.{_, v} f := by
cases' eq_or_lt_of_le (sup_le_lsub.{_, v} f) with h h
· exact Or.inl h
· exact Or.inr ((succ_le_of_lt h).antisymm (lsub_le_sup_succ f))
#align ordinal.sup_eq_lsub_or_sup_succ_eq_lsub Ordinal.sup_eq_lsub_or_sup_succ_eq_lsub
theorem sup_succ_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
succ (sup.{_, v} f) ≤ lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f := by
refine ⟨fun h => ?_, ?_⟩
· by_contra! hf
exact (succ_le_iff.1 h).ne ((sup_le_lsub f).antisymm (lsub_le (ne_sup_iff_lt_sup.1 hf)))
rintro ⟨_, hf⟩
rw [succ_le_iff, ← hf]
exact lt_lsub _ _
#align ordinal.sup_succ_le_lsub Ordinal.sup_succ_le_lsub
theorem sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
succ (sup.{_, v} f) = lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f :=
(lsub_le_sup_succ f).le_iff_eq.symm.trans (sup_succ_le_lsub f)
#align ordinal.sup_succ_eq_lsub Ordinal.sup_succ_eq_lsub
theorem sup_eq_lsub_iff_succ {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ↔ ∀ a < lsub.{_, v} f, succ a < lsub.{_, v} f := by
refine ⟨fun h => ?_, fun hf => le_antisymm (sup_le_lsub f) (lsub_le fun i => ?_)⟩
· rw [← h]
exact fun a => sup_not_succ_of_ne_sup fun i => (lsub_le_iff.1 (le_of_eq h.symm) i).ne
by_contra! hle
have heq := (sup_succ_eq_lsub f).2 ⟨i, le_antisymm (le_sup _ _) hle⟩
have :=
hf _
(by
rw [← heq]
exact lt_succ (sup f))
rw [heq] at this
exact this.false
#align ordinal.sup_eq_lsub_iff_succ Ordinal.sup_eq_lsub_iff_succ
theorem sup_eq_lsub_iff_lt_sup {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ↔ ∀ i, f i < sup.{_, v} f :=
⟨fun h i => by
rw [h]
apply lt_lsub, fun h => le_antisymm (sup_le_lsub f) (lsub_le h)⟩
#align ordinal.sup_eq_lsub_iff_lt_sup Ordinal.sup_eq_lsub_iff_lt_sup
@[simp]
theorem lsub_empty {ι} [h : IsEmpty ι] (f : ι → Ordinal) : lsub f = 0 := by
rw [← Ordinal.le_zero, lsub_le_iff]
exact h.elim
#align ordinal.lsub_empty Ordinal.lsub_empty
theorem lsub_pos {ι : Type u} [h : Nonempty ι] (f : ι → Ordinal.{max u v}) : 0 < lsub.{_, v} f :=
h.elim fun i => (Ordinal.zero_le _).trans_lt (lt_lsub f i)
#align ordinal.lsub_pos Ordinal.lsub_pos
@[simp]
theorem lsub_eq_zero_iff {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f = 0 ↔ IsEmpty ι := by
refine ⟨fun h => ⟨fun i => ?_⟩, fun h => @lsub_empty _ h _⟩
have := @lsub_pos.{_, v} _ ⟨i⟩ f
rw [h] at this
exact this.false
#align ordinal.lsub_eq_zero_iff Ordinal.lsub_eq_zero_iff
@[simp]
theorem lsub_const {ι} [Nonempty ι] (o : Ordinal) : (lsub fun _ : ι => o) = succ o :=
sup_const (succ o)
#align ordinal.lsub_const Ordinal.lsub_const
@[simp]
theorem lsub_unique {ι} [Unique ι] (f : ι → Ordinal) : lsub f = succ (f default) :=
sup_unique _
#align ordinal.lsub_unique Ordinal.lsub_unique
theorem lsub_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f ⊆ Set.range g) : lsub.{u, max v w} f ≤ lsub.{v, max u w} g :=
sup_le_of_range_subset.{u, v, w} (by convert Set.image_subset succ h <;> apply Set.range_comp)
#align ordinal.lsub_le_of_range_subset Ordinal.lsub_le_of_range_subset
theorem lsub_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f = Set.range g) : lsub.{u, max v w} f = lsub.{v, max u w} g :=
(lsub_le_of_range_subset.{u, v, w} h.le).antisymm (lsub_le_of_range_subset.{v, u, w} h.ge)
#align ordinal.lsub_eq_of_range_eq Ordinal.lsub_eq_of_range_eq
@[simp]
theorem lsub_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) :
lsub.{max u v, w} f =
max (lsub.{u, max v w} fun a => f (Sum.inl a)) (lsub.{v, max u w} fun b => f (Sum.inr b)) :=
sup_sum _
#align ordinal.lsub_sum Ordinal.lsub_sum
theorem lsub_not_mem_range {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f ∉ Set.range f := fun ⟨i, h⟩ =>
h.not_lt (lt_lsub f i)
#align ordinal.lsub_not_mem_range Ordinal.lsub_not_mem_range
theorem nonempty_compl_range {ι : Type u} (f : ι → Ordinal.{max u v}) : (Set.range f)ᶜ.Nonempty :=
⟨_, lsub_not_mem_range.{_, v} f⟩
#align ordinal.nonempty_compl_range Ordinal.nonempty_compl_range
@[simp]
theorem lsub_typein (o : Ordinal) : lsub.{u, u} (typein ((· < ·) : o.out.α → o.out.α → Prop)) = o :=
(lsub_le.{u, u} typein_lt_self).antisymm
(by
by_contra! h
-- Porting note: `nth_rw` → `conv_rhs` & `rw`
conv_rhs at h => rw [← type_lt o]
simpa [typein_enum] using lt_lsub.{u, u} (typein (· < ·)) (enum (· < ·) _ h))
#align ordinal.lsub_typein Ordinal.lsub_typein
theorem sup_typein_limit {o : Ordinal} (ho : ∀ a, a < o → succ a < o) :
sup.{u, u} (typein ((· < ·) : o.out.α → o.out.α → Prop)) = o := by
-- Porting note: `rwa` → `rw` & `assumption`
rw [(sup_eq_lsub_iff_succ.{u, u} (typein (· < ·))).2] <;> rw [lsub_typein o]; assumption
#align ordinal.sup_typein_limit Ordinal.sup_typein_limit
@[simp]
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 1,730 | 1,740 | theorem sup_typein_succ {o : Ordinal} :
sup.{u, u} (typein ((· < ·) : (succ o).out.α → (succ o).out.α → Prop)) = o := by |
cases'
sup_eq_lsub_or_sup_succ_eq_lsub.{u, u}
(typein ((· < ·) : (succ o).out.α → (succ o).out.α → Prop)) with
h h
· rw [sup_eq_lsub_iff_succ] at h
simp only [lsub_typein] at h
exact (h o (lt_succ o)).false.elim
rw [← succ_eq_succ_iff, h]
apply lsub_typein
|
import Mathlib.Algebra.Polynomial.Expand
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.Algebra.Squarefree.Basic
import Mathlib.FieldTheory.Minpoly.Field
import Mathlib.RingTheory.PowerBasis
#align_import field_theory.separable from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
universe u v w
open scoped Classical
open Polynomial Finset
namespace Polynomial
section CommSemiring
variable {R : Type u} [CommSemiring R] {S : Type v} [CommSemiring S]
def Separable (f : R[X]) : Prop :=
IsCoprime f (derivative f)
#align polynomial.separable Polynomial.Separable
theorem separable_def (f : R[X]) : f.Separable ↔ IsCoprime f (derivative f) :=
Iff.rfl
#align polynomial.separable_def Polynomial.separable_def
theorem separable_def' (f : R[X]) : f.Separable ↔ ∃ a b : R[X], a * f + b * (derivative f) = 1 :=
Iff.rfl
#align polynomial.separable_def' Polynomial.separable_def'
theorem not_separable_zero [Nontrivial R] : ¬Separable (0 : R[X]) := by
rintro ⟨x, y, h⟩
simp only [derivative_zero, mul_zero, add_zero, zero_ne_one] at h
#align polynomial.not_separable_zero Polynomial.not_separable_zero
theorem Separable.ne_zero [Nontrivial R] {f : R[X]} (h : f.Separable) : f ≠ 0 :=
(not_separable_zero <| · ▸ h)
@[simp]
theorem separable_one : (1 : R[X]).Separable :=
isCoprime_one_left
#align polynomial.separable_one Polynomial.separable_one
@[nontriviality]
theorem separable_of_subsingleton [Subsingleton R] (f : R[X]) : f.Separable := by
simp [Separable, IsCoprime, eq_iff_true_of_subsingleton]
#align polynomial.separable_of_subsingleton Polynomial.separable_of_subsingleton
theorem separable_X_add_C (a : R) : (X + C a).Separable := by
rw [separable_def, derivative_add, derivative_X, derivative_C, add_zero]
exact isCoprime_one_right
set_option linter.uppercaseLean3 false in
#align polynomial.separable_X_add_C Polynomial.separable_X_add_C
theorem separable_X : (X : R[X]).Separable := by
rw [separable_def, derivative_X]
exact isCoprime_one_right
set_option linter.uppercaseLean3 false in
#align polynomial.separable_X Polynomial.separable_X
| Mathlib/FieldTheory/Separable.lean | 82 | 83 | theorem separable_C (r : R) : (C r).Separable ↔ IsUnit r := by |
rw [separable_def, derivative_C, isCoprime_zero_right, isUnit_C]
|
import Mathlib.MeasureTheory.Integral.IntegrableOn
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.Topology.MetricSpace.ThickenedIndicator
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual
#align_import measure_theory.integral.setIntegral from "leanprover-community/mathlib"@"24e0c85412ff6adbeca08022c25ba4876eedf37a"
assert_not_exists InnerProductSpace
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function RCLike
open scoped Classical Topology ENNReal NNReal
variable {X Y E F : Type*} [MeasurableSpace X]
namespace MeasureTheory
section NormedAddCommGroup
variable [NormedAddCommGroup E] [NormedSpace ℝ E]
{f g : X → E} {s t : Set X} {μ ν : Measure X} {l l' : Filter X}
theorem setIntegral_congr_ae₀ (hs : NullMeasurableSet s μ) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff'₀ hs).2 h)
#align measure_theory.set_integral_congr_ae₀ MeasureTheory.setIntegral_congr_ae₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae₀ := setIntegral_congr_ae₀
theorem setIntegral_congr_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff' hs).2 h)
#align measure_theory.set_integral_congr_ae MeasureTheory.setIntegral_congr_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae := setIntegral_congr_ae
theorem setIntegral_congr₀ (hs : NullMeasurableSet s μ) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae₀ hs <| eventually_of_forall h
#align measure_theory.set_integral_congr₀ MeasureTheory.setIntegral_congr₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr₀ := setIntegral_congr₀
theorem setIntegral_congr (hs : MeasurableSet s) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae hs <| eventually_of_forall h
#align measure_theory.set_integral_congr MeasureTheory.setIntegral_congr
@[deprecated (since := "2024-04-17")]
alias set_integral_congr := setIntegral_congr
theorem setIntegral_congr_set_ae (hst : s =ᵐ[μ] t) : ∫ x in s, f x ∂μ = ∫ x in t, f x ∂μ := by
rw [Measure.restrict_congr_set hst]
#align measure_theory.set_integral_congr_set_ae MeasureTheory.setIntegral_congr_set_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_set_ae := setIntegral_congr_set_ae
theorem integral_union_ae (hst : AEDisjoint μ s t) (ht : NullMeasurableSet t μ)
(hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := by
simp only [IntegrableOn, Measure.restrict_union₀ hst ht, integral_add_measure hfs hft]
#align measure_theory.integral_union_ae MeasureTheory.integral_union_ae
theorem integral_union (hst : Disjoint s t) (ht : MeasurableSet t) (hfs : IntegrableOn f s μ)
(hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ :=
integral_union_ae hst.aedisjoint ht.nullMeasurableSet hfs hft
#align measure_theory.integral_union MeasureTheory.integral_union
theorem integral_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hts : t ⊆ s) :
∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ - ∫ x in t, f x ∂μ := by
rw [eq_sub_iff_add_eq, ← integral_union, diff_union_of_subset hts]
exacts [disjoint_sdiff_self_left, ht, hfs.mono_set diff_subset, hfs.mono_set hts]
#align measure_theory.integral_diff MeasureTheory.integral_diff
| Mathlib/MeasureTheory/Integral/SetIntegral.lean | 127 | 131 | theorem integral_inter_add_diff₀ (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := by |
rw [← Measure.restrict_inter_add_diff₀ s ht, integral_add_measure]
· exact Integrable.mono_measure hfs (Measure.restrict_mono inter_subset_left le_rfl)
· exact Integrable.mono_measure hfs (Measure.restrict_mono diff_subset le_rfl)
|
import Mathlib.LinearAlgebra.Quotient
import Mathlib.RingTheory.Ideal.Operations
namespace Submodule
open Pointwise
variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {N N₁ N₂ P P₁ P₂ : Submodule R M}
def colon (N P : Submodule R M) : Ideal R :=
annihilator (P.map N.mkQ)
#align submodule.colon Submodule.colon
theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N :=
mem_annihilator.trans
⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)),
fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩
#align submodule.mem_colon Submodule.mem_colon
theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N :=
mem_colon
#align submodule.mem_colon' Submodule.mem_colon'
@[simp]
theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by
simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul]
exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩
@[simp]
theorem colon_bot : colon ⊥ N = N.annihilator := by
simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const]
theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ := fun _ hrnp =>
mem_colon.2 fun p₁ hp₁ => hn <| mem_colon.1 hrnp p₁ <| hp hp₁
#align submodule.colon_mono Submodule.colon_mono
theorem iInf_colon_iSup (ι₁ : Sort*) (f : ι₁ → Submodule R M) (ι₂ : Sort*)
(g : ι₂ → Submodule R M) : (⨅ i, f i).colon (⨆ j, g j) = ⨅ (i) (j), (f i).colon (g j) :=
le_antisymm (le_iInf fun _ => le_iInf fun _ => colon_mono (iInf_le _ _) (le_iSup _ _)) fun _ H =>
mem_colon'.2 <|
iSup_le fun j =>
map_le_iff_le_comap.1 <|
le_iInf fun i =>
map_le_iff_le_comap.2 <|
mem_colon'.1 <|
have := (mem_iInf _).1 H i
have := (mem_iInf _).1 this j
this
#align submodule.infi_colon_supr Submodule.iInf_colon_iSup
@[simp]
theorem mem_colon_singleton {N : Submodule R M} {x : M} {r : R} :
r ∈ N.colon (Submodule.span R {x}) ↔ r • x ∈ N :=
calc
r ∈ N.colon (Submodule.span R {x}) ↔ ∀ a : R, r • a • x ∈ N := by
simp [Submodule.mem_colon, Submodule.mem_span_singleton]
_ ↔ r • x ∈ N := by simp_rw [fun (a : R) ↦ smul_comm r a x]; exact SetLike.forall_smul_mem_iff
#align submodule.mem_colon_singleton Submodule.mem_colon_singleton
@[simp]
theorem _root_.Ideal.mem_colon_singleton {I : Ideal R} {x r : R} :
r ∈ I.colon (Ideal.span {x}) ↔ r * x ∈ I := by
simp only [← Ideal.submodule_span_eq, Submodule.mem_colon_singleton, smul_eq_mul]
#align ideal.mem_colon_singleton Ideal.mem_colon_singleton
theorem annihilator_quotient {N : Submodule R M} :
Module.annihilator R (M ⧸ N) = N.colon ⊤ := by
simp_rw [SetLike.ext_iff, Module.mem_annihilator, colon, mem_annihilator, map_top,
LinearMap.range_eq_top.mpr (mkQ_surjective N), mem_top, forall_true_left, forall_const]
| Mathlib/RingTheory/Ideal/Colon.lean | 86 | 87 | theorem _root_.Ideal.annihilator_quotient {I : Ideal R} : Module.annihilator R (R ⧸ I) = I := by |
rw [Submodule.annihilator_quotient, colon_top]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
#align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior
theorem compl_frontier_eq_union_interior :
(frontier s)ᶜ = interior s ∪ interior sᶜ := by
rw [frontier_eq_inter_compl_interior]
simp only [compl_inter, compl_compl]
#align compl_frontier_eq_union_interior compl_frontier_eq_union_interior
theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by
simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and]
#align nhds_def' nhds_def'
theorem nhds_basis_opens (x : X) :
(𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by
rw [nhds_def]
exact hasBasis_biInf_principal
(fun s ⟨has, hs⟩ t ⟨hat, ht⟩ =>
⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩)
⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩
#align nhds_basis_opens nhds_basis_opens
theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl :=
⟨fun t => (nhds_basis_opens x).mem_iff.trans <|
compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩
#align nhds_basis_closeds nhds_basis_closeds
@[simp]
theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x :=
(nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right
theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) :=
lift'_nhds_interior x ▸ h.lift'_interior
theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def]
#align le_nhds_iff le_nhds_iff
theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by
rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf
#align nhds_le_of_le nhds_le_of_le
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t :=
(nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ =>
⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩
#align mem_nhds_iff mem_nhds_iffₓ
theorem eventually_nhds_iff {p : X → Prop} :
(∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t :=
mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq]
#align eventually_nhds_iff eventually_nhds_iff
theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x :=
mem_interior.trans mem_nhds_iff.symm
#align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds
theorem map_nhds {f : X → α} :
map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) :=
((nhds_basis_opens x).map f).eq_biInf
#align map_nhds map_nhds
theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H =>
let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs
#align mem_of_mem_nhds mem_of_mem_nhds
theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x :=
mem_of_mem_nhds h
#align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds
theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x :=
mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩
#align is_open.mem_nhds IsOpen.mem_nhds
protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s :=
⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩
#align is_open.mem_nhds_iff IsOpen.mem_nhds_iff
theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x :=
hs.isOpen_compl.mem_nhds (mem_compl hx)
#align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds
theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) :
∀ᶠ x in 𝓝 x, x ∈ s :=
IsOpen.mem_nhds hs hx
#align is_open.eventually_mem IsOpen.eventually_mem
theorem nhds_basis_opens' (x : X) :
(𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by
convert nhds_basis_opens x using 2
exact and_congr_left_iff.2 IsOpen.mem_nhds_iff
#align nhds_basis_opens' nhds_basis_opens'
theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩
#align exists_open_set_nhds exists_open_set_nhds
theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
exists_open_set_nhds (by simpa using h)
#align exists_open_set_nhds' exists_open_set_nhds'
theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) :
∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x :=
let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h
eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩
#align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds
@[simp]
theorem eventually_eventually_nhds {p : X → Prop} :
(∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x :=
⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩
#align eventually_eventually_nhds eventually_eventually_nhds
@[simp]
theorem frequently_frequently_nhds {p : X → Prop} :
(∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by
rw [← not_iff_not]
simp only [not_frequently, eventually_eventually_nhds]
#align frequently_frequently_nhds frequently_frequently_nhds
@[simp]
theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x :=
eventually_eventually_nhds
#align eventually_mem_nhds eventually_mem_nhds
@[simp]
theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x :=
Filter.ext fun _ => eventually_eventually_nhds
#align nhds_bind_nhds nhds_bind_nhds
@[simp]
theorem eventually_eventuallyEq_nhds {f g : X → α} :
(∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds
theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x :=
h.self_of_nhds
#align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds
@[simp]
theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} :
(∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_le_nhds eventually_eventuallyLE_nhds
theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds
theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds
theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s :=
((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp]
#align all_mem_nhds all_mem_nhds
theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l :=
all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt)
#align all_mem_nhds_filter all_mem_nhds_filter
theorem tendsto_nhds {f : α → X} {l : Filter α} :
Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l :=
all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _
#align tendsto_nhds tendsto_nhds
theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} :
Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U :=
(atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by
simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le]
#align tendsto_at_top_nhds tendsto_atTop_nhds
theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) :=
tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha
#align tendsto_const_nhds tendsto_const_nhds
theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const
theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const
theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs
#align pure_le_nhds pure_le_nhds
theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) :=
(tendsto_pure_pure f a).mono_right (pure_le_nhds _)
#align tendsto_pure_nhds tendsto_pure_nhds
theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) :
Tendsto f atTop (𝓝 (f ⊤)) :=
(tendsto_atTop_pure f).mono_right (pure_le_nhds _)
#align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds
@[simp]
instance nhds_neBot : NeBot (𝓝 x) :=
neBot_of_le (pure_le_nhds x)
#align nhds_ne_bot nhds_neBot
theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) :
Tendsto f l (𝓝 x) :=
tendsto_const_nhds.congr' (.symm h)
theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) :
Tendsto f l (𝓝 x) :=
tendsto_nhds_of_eventually_eq hf
theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) :=
h
#align cluster_pt.ne_bot ClusterPt.neBot
theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop}
{sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) :
ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty :=
hX.inf_basis_neBot_iff hF
#align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff
theorem clusterPt_iff {F : Filter X} :
ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty :=
inf_neBot_iff
#align cluster_pt_iff clusterPt_iff
theorem clusterPt_iff_not_disjoint {F : Filter X} :
ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by
rw [disjoint_iff, ClusterPt, neBot_iff]
theorem clusterPt_principal_iff :
ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty :=
inf_principal_neBot_iff
#align cluster_pt_principal_iff clusterPt_principal_iff
theorem clusterPt_principal_iff_frequently :
ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by
simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff]
#align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently
theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by
rwa [ClusterPt, inf_eq_right.mpr H]
#align cluster_pt.of_le_nhds ClusterPt.of_le_nhds
theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) :
ClusterPt x f :=
ClusterPt.of_le_nhds H
#align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds'
theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by
simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot]
#align cluster_pt.of_nhds_le ClusterPt.of_nhds_le
theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g :=
NeBot.mono H <| inf_le_inf_left _ h
#align cluster_pt.mono ClusterPt.mono
theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f :=
H.mono inf_le_left
#align cluster_pt.of_inf_left ClusterPt.of_inf_left
theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) :
ClusterPt x g :=
H.mono inf_le_right
#align cluster_pt.of_inf_right ClusterPt.of_inf_right
theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x :=
⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩
#align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff
theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔
∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by
simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl
theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by
simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map]
rfl
#align map_cluster_pt_iff mapClusterPt_iff
theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by
simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap,
← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β}
{u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl
theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β}
{u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) :
MapClusterPt x F u := by
have :=
calc
map (u ∘ φ) p = map u (map φ p) := map_map
_ ≤ map u F := map_mono h
have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this
exact neBot_of_le this
#align map_cluster_pt_of_comp mapClusterPt_of_comp
theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by
rw [AccPt, nhdsWithin, ClusterPt, inf_assoc]
#align acc_iff_cluster acc_iff_cluster
theorem acc_principal_iff_cluster (x : X) (C : Set X) :
AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by
rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq]
#align acc_principal_iff_cluster acc_principal_iff_cluster
theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc,
@and_comm (¬_ = x)]
#align acc_pt_iff_nhds accPt_iff_nhds
theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm]
#align acc_pt_iff_frequently accPt_iff_frequently
theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G :=
NeBot.mono h (inf_le_inf_left _ hFG)
#align acc_pt.mono AccPt.mono
theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } :=
Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq]
#align interior_eq_nhds' interior_eq_nhds'
theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } :=
interior_eq_nhds'.trans <| by simp only [le_principal_iff]
#align interior_eq_nhds interior_eq_nhds
@[simp]
theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x :=
⟨fun h => mem_of_superset h interior_subset, fun h =>
IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩
#align interior_mem_nhds interior_mem_nhds
theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } :=
interior_eq_nhds'
#align interior_set_of_eq interior_setOf_eq
theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by
simp only [← interior_setOf_eq, isOpen_interior]
#align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds
theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by
simp_rw [subset_def, mem_interior_iff_mem_nhds]
#align subset_interior_iff_nhds subset_interior_iff_nhds
theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s :=
calc
IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm
_ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf]
#align is_open_iff_nhds isOpen_iff_nhds
theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} :
t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x :=
⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩
alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds
theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x :=
isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff
#align is_open_iff_mem_nhds isOpen_iff_mem_nhds
theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s :=
isOpen_iff_mem_nhds
#align is_open_iff_eventually isOpen_iff_eventually
theorem isOpen_iff_ultrafilter :
IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by
simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter]
#align is_open_iff_ultrafilter isOpen_iff_ultrafilter
theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by
constructor
· intro h
apply le_antisymm _ (pure_le_nhds x)
rw [le_pure_iff]
exact h.mem_nhds (mem_singleton x)
· intro h
simp [isOpen_iff_nhds, h]
#align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure
theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by
rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff,
nhds_neBot.le_pure_iff]
#align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds
theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by
rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds,
closure_eq_compl_interior_compl, mem_compl_iff, compl_def]
#align mem_closure_iff_frequently mem_closure_iff_frequently
alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently
#align filter.frequently.mem_closure Filter.Frequently.mem_closure
| Mathlib/Topology/Basic.lean | 1,222 | 1,225 | theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by |
rw [← closure_subset_iff_isClosed]
refine forall_congr' fun x => ?_
rw [mem_closure_iff_frequently]
|
import Mathlib.Analysis.InnerProductSpace.GramSchmidtOrtho
import Mathlib.LinearAlgebra.Matrix.PosDef
#align_import linear_algebra.matrix.ldl from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
variable {𝕜 : Type*} [RCLike 𝕜]
variable {n : Type*} [LinearOrder n] [IsWellOrder n (· < ·)] [LocallyFiniteOrderBot n]
section set_options
set_option linter.uppercaseLean3 false
set_option quotPrecheck false
local notation "⟪" x ", " y "⟫ₑ" =>
@inner 𝕜 _ _ ((WithLp.equiv 2 _).symm x) ((WithLp.equiv _ _).symm y)
open Matrix
open scoped Matrix ComplexOrder
variable {S : Matrix n n 𝕜} [Fintype n] (hS : S.PosDef)
noncomputable def LDL.lowerInv : Matrix n n 𝕜 :=
@gramSchmidt 𝕜 (n → 𝕜) _ (_ : _) (InnerProductSpace.ofMatrix hS.transpose) n _ _ _
(Pi.basisFun 𝕜 n)
#align LDL.lower_inv LDL.lowerInv
theorem LDL.lowerInv_eq_gramSchmidtBasis :
LDL.lowerInv hS =
((Pi.basisFun 𝕜 n).toMatrix
(@gramSchmidtBasis 𝕜 (n → 𝕜) _ (_ : _) (InnerProductSpace.ofMatrix hS.transpose) n _ _ _
(Pi.basisFun 𝕜 n)))ᵀ := by
letI := NormedAddCommGroup.ofMatrix hS.transpose
letI := InnerProductSpace.ofMatrix hS.transpose
ext i j
rw [LDL.lowerInv, Basis.coePiBasisFun.toMatrix_eq_transpose, coe_gramSchmidtBasis]
rfl
#align LDL.lower_inv_eq_gram_schmidt_basis LDL.lowerInv_eq_gramSchmidtBasis
noncomputable instance LDL.invertibleLowerInv : Invertible (LDL.lowerInv hS) := by
rw [LDL.lowerInv_eq_gramSchmidtBasis]
haveI :=
Basis.invertibleToMatrix (Pi.basisFun 𝕜 n)
(@gramSchmidtBasis 𝕜 (n → 𝕜) _ (_ : _) (InnerProductSpace.ofMatrix hS.transpose) n _ _ _
(Pi.basisFun 𝕜 n))
infer_instance
#align LDL.invertible_lower_inv LDL.invertibleLowerInv
theorem LDL.lowerInv_orthogonal {i j : n} (h₀ : i ≠ j) :
⟪LDL.lowerInv hS i, Sᵀ *ᵥ LDL.lowerInv hS j⟫ₑ = 0 :=
@gramSchmidt_orthogonal 𝕜 _ _ (_ : _) (InnerProductSpace.ofMatrix hS.transpose) _ _ _ _ _ _ _ h₀
#align LDL.lower_inv_orthogonal LDL.lowerInv_orthogonal
noncomputable def LDL.diagEntries : n → 𝕜 := fun i =>
⟪star (LDL.lowerInv hS i), S *ᵥ star (LDL.lowerInv hS i)⟫ₑ
#align LDL.diag_entries LDL.diagEntries
noncomputable def LDL.diag : Matrix n n 𝕜 :=
Matrix.diagonal (LDL.diagEntries hS)
#align LDL.diag LDL.diag
theorem LDL.lowerInv_triangular {i j : n} (hij : i < j) : LDL.lowerInv hS i j = 0 := by
rw [←
@gramSchmidt_triangular 𝕜 (n → 𝕜) _ (_ : _) (InnerProductSpace.ofMatrix hS.transpose) n _ _ _
i j hij (Pi.basisFun 𝕜 n),
Pi.basisFun_repr, LDL.lowerInv]
#align LDL.lower_inv_triangular LDL.lowerInv_triangular
| Mathlib/LinearAlgebra/Matrix/LDL.lean | 102 | 113 | theorem LDL.diag_eq_lowerInv_conj : LDL.diag hS = LDL.lowerInv hS * S * (LDL.lowerInv hS)ᴴ := by |
ext i j
by_cases hij : i = j
· simp only [diag, diagEntries, EuclideanSpace.inner_piLp_equiv_symm, star_star, hij,
diagonal_apply_eq, Matrix.mul_assoc]
rfl
· simp only [LDL.diag, hij, diagonal_apply_ne, Ne, not_false_iff, mul_mul_apply]
rw [conjTranspose, transpose_map, transpose_transpose, dotProduct_mulVec,
(LDL.lowerInv_orthogonal hS fun h : j = i => hij h.symm).symm, ← inner_conj_symm,
mulVec_transpose, EuclideanSpace.inner_piLp_equiv_symm, ← RCLike.star_def, ←
star_dotProduct_star, dotProduct_comm, star_star]
rfl
|
import Mathlib.Analysis.InnerProductSpace.TwoDim
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
#align_import geometry.euclidean.angle.oriented.basic 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 "ω" => o.areaForm
def oangle (x y : V) : Real.Angle :=
Complex.arg (o.kahler x y)
#align orientation.oangle Orientation.oangle
theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) :
ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by
refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_
· exact o.kahler_ne_zero hx1 hx2
exact ((continuous_ofReal.comp continuous_inner).add
((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt
#align orientation.continuous_at_oangle Orientation.continuousAt_oangle
@[simp]
theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle]
#align orientation.oangle_zero_left Orientation.oangle_zero_left
@[simp]
theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle]
#align orientation.oangle_zero_right Orientation.oangle_zero_right
@[simp]
theorem oangle_self (x : V) : o.oangle x x = 0 := by
rw [oangle, kahler_apply_self, ← ofReal_pow]
convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π))
apply arg_ofReal_of_nonneg
positivity
#align orientation.oangle_self Orientation.oangle_self
theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by
rintro rfl; simp at h
#align orientation.left_ne_zero_of_oangle_ne_zero Orientation.left_ne_zero_of_oangle_ne_zero
theorem right_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : y ≠ 0 := by
rintro rfl; simp at h
#align orientation.right_ne_zero_of_oangle_ne_zero Orientation.right_ne_zero_of_oangle_ne_zero
theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by
rintro rfl; simp at h
#align orientation.ne_of_oangle_ne_zero Orientation.ne_of_oangle_ne_zero
theorem left_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi Orientation.left_ne_zero_of_oangle_eq_pi
theorem right_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi Orientation.right_ne_zero_of_oangle_eq_pi
theorem ne_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi Orientation.ne_of_oangle_eq_pi
theorem left_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi_div_two Orientation.left_ne_zero_of_oangle_eq_pi_div_two
theorem right_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi_div_two Orientation.right_ne_zero_of_oangle_eq_pi_div_two
theorem ne_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi_div_two Orientation.ne_of_oangle_eq_pi_div_two
theorem left_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two
theorem right_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two
theorem ne_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_neg_pi_div_two Orientation.ne_of_oangle_eq_neg_pi_div_two
theorem left_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.left_ne_zero_of_oangle_sign_ne_zero Orientation.left_ne_zero_of_oangle_sign_ne_zero
theorem right_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.right_ne_zero_of_oangle_sign_ne_zero Orientation.right_ne_zero_of_oangle_sign_ne_zero
theorem ne_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ y :=
o.ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.ne_of_oangle_sign_ne_zero Orientation.ne_of_oangle_sign_ne_zero
theorem left_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_one Orientation.left_ne_zero_of_oangle_sign_eq_one
theorem right_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_one Orientation.right_ne_zero_of_oangle_sign_eq_one
theorem ne_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_one Orientation.ne_of_oangle_sign_eq_one
theorem left_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_neg_one Orientation.left_ne_zero_of_oangle_sign_eq_neg_one
theorem right_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_neg_one Orientation.right_ne_zero_of_oangle_sign_eq_neg_one
theorem ne_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_neg_one Orientation.ne_of_oangle_sign_eq_neg_one
theorem oangle_rev (x y : V) : o.oangle y x = -o.oangle x y := by
simp only [oangle, o.kahler_swap y x, Complex.arg_conj_coe_angle]
#align orientation.oangle_rev Orientation.oangle_rev
@[simp]
theorem oangle_add_oangle_rev (x y : V) : o.oangle x y + o.oangle y x = 0 := by
simp [o.oangle_rev y x]
#align orientation.oangle_add_oangle_rev Orientation.oangle_add_oangle_rev
theorem oangle_neg_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle (-x) y = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_left Orientation.oangle_neg_left
theorem oangle_neg_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle x (-y) = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_right Orientation.oangle_neg_right
@[simp]
theorem two_zsmul_oangle_neg_left (x y : V) :
(2 : ℤ) • o.oangle (-x) y = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_left hx hy]
#align orientation.two_zsmul_oangle_neg_left Orientation.two_zsmul_oangle_neg_left
@[simp]
theorem two_zsmul_oangle_neg_right (x y : V) :
(2 : ℤ) • o.oangle x (-y) = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_right hx hy]
#align orientation.two_zsmul_oangle_neg_right Orientation.two_zsmul_oangle_neg_right
@[simp]
theorem oangle_neg_neg (x y : V) : o.oangle (-x) (-y) = o.oangle x y := by simp [oangle]
#align orientation.oangle_neg_neg Orientation.oangle_neg_neg
theorem oangle_neg_left_eq_neg_right (x y : V) : o.oangle (-x) y = o.oangle x (-y) := by
rw [← neg_neg y, oangle_neg_neg, neg_neg]
#align orientation.oangle_neg_left_eq_neg_right Orientation.oangle_neg_left_eq_neg_right
@[simp]
theorem oangle_neg_self_left {x : V} (hx : x ≠ 0) : o.oangle (-x) x = π := by
simp [oangle_neg_left, hx]
#align orientation.oangle_neg_self_left Orientation.oangle_neg_self_left
@[simp]
theorem oangle_neg_self_right {x : V} (hx : x ≠ 0) : o.oangle x (-x) = π := by
simp [oangle_neg_right, hx]
#align orientation.oangle_neg_self_right Orientation.oangle_neg_self_right
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_left (x : V) : (2 : ℤ) • o.oangle (-x) x = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_left Orientation.two_zsmul_oangle_neg_self_left
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_right (x : V) : (2 : ℤ) • o.oangle x (-x) = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_right Orientation.two_zsmul_oangle_neg_self_right
@[simp]
theorem oangle_add_oangle_rev_neg_left (x y : V) : o.oangle (-x) y + o.oangle (-y) x = 0 := by
rw [oangle_neg_left_eq_neg_right, oangle_rev, add_left_neg]
#align orientation.oangle_add_oangle_rev_neg_left Orientation.oangle_add_oangle_rev_neg_left
@[simp]
theorem oangle_add_oangle_rev_neg_right (x y : V) : o.oangle x (-y) + o.oangle y (-x) = 0 := by
rw [o.oangle_rev (-x), oangle_neg_left_eq_neg_right, add_neg_self]
#align orientation.oangle_add_oangle_rev_neg_right Orientation.oangle_add_oangle_rev_neg_right
@[simp]
theorem oangle_smul_left_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle (r • x) y = o.oangle x y := by simp [oangle, Complex.arg_real_mul _ hr]
#align orientation.oangle_smul_left_of_pos Orientation.oangle_smul_left_of_pos
@[simp]
theorem oangle_smul_right_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle x (r • y) = o.oangle x y := by simp [oangle, Complex.arg_real_mul _ hr]
#align orientation.oangle_smul_right_of_pos Orientation.oangle_smul_right_of_pos
@[simp]
theorem oangle_smul_left_of_neg (x y : V) {r : ℝ} (hr : r < 0) :
o.oangle (r • x) y = o.oangle (-x) y := by
rw [← neg_neg r, neg_smul, ← smul_neg, o.oangle_smul_left_of_pos _ _ (neg_pos_of_neg hr)]
#align orientation.oangle_smul_left_of_neg Orientation.oangle_smul_left_of_neg
@[simp]
theorem oangle_smul_right_of_neg (x y : V) {r : ℝ} (hr : r < 0) :
o.oangle x (r • y) = o.oangle x (-y) := by
rw [← neg_neg r, neg_smul, ← smul_neg, o.oangle_smul_right_of_pos _ _ (neg_pos_of_neg hr)]
#align orientation.oangle_smul_right_of_neg Orientation.oangle_smul_right_of_neg
@[simp]
theorem oangle_smul_left_self_of_nonneg (x : V) {r : ℝ} (hr : 0 ≤ r) : o.oangle (r • x) x = 0 := by
rcases hr.lt_or_eq with (h | h)
· simp [h]
· simp [h.symm]
#align orientation.oangle_smul_left_self_of_nonneg Orientation.oangle_smul_left_self_of_nonneg
@[simp]
theorem oangle_smul_right_self_of_nonneg (x : V) {r : ℝ} (hr : 0 ≤ r) : o.oangle x (r • x) = 0 := by
rcases hr.lt_or_eq with (h | h)
· simp [h]
· simp [h.symm]
#align orientation.oangle_smul_right_self_of_nonneg Orientation.oangle_smul_right_self_of_nonneg
@[simp]
theorem oangle_smul_smul_self_of_nonneg (x : V) {r₁ r₂ : ℝ} (hr₁ : 0 ≤ r₁) (hr₂ : 0 ≤ r₂) :
o.oangle (r₁ • x) (r₂ • x) = 0 := by
rcases hr₁.lt_or_eq with (h | h)
· simp [h, hr₂]
· simp [h.symm]
#align orientation.oangle_smul_smul_self_of_nonneg Orientation.oangle_smul_smul_self_of_nonneg
@[simp]
theorem two_zsmul_oangle_smul_left_of_ne_zero (x y : V) {r : ℝ} (hr : r ≠ 0) :
(2 : ℤ) • o.oangle (r • x) y = (2 : ℤ) • o.oangle x y := by
rcases hr.lt_or_lt with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_left_of_ne_zero Orientation.two_zsmul_oangle_smul_left_of_ne_zero
@[simp]
theorem two_zsmul_oangle_smul_right_of_ne_zero (x y : V) {r : ℝ} (hr : r ≠ 0) :
(2 : ℤ) • o.oangle x (r • y) = (2 : ℤ) • o.oangle x y := by
rcases hr.lt_or_lt with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_right_of_ne_zero Orientation.two_zsmul_oangle_smul_right_of_ne_zero
@[simp]
theorem two_zsmul_oangle_smul_left_self (x : V) {r : ℝ} : (2 : ℤ) • o.oangle (r • x) x = 0 := by
rcases lt_or_le r 0 with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_left_self Orientation.two_zsmul_oangle_smul_left_self
@[simp]
theorem two_zsmul_oangle_smul_right_self (x : V) {r : ℝ} : (2 : ℤ) • o.oangle x (r • x) = 0 := by
rcases lt_or_le r 0 with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_right_self Orientation.two_zsmul_oangle_smul_right_self
@[simp]
theorem two_zsmul_oangle_smul_smul_self (x : V) {r₁ r₂ : ℝ} :
(2 : ℤ) • o.oangle (r₁ • x) (r₂ • x) = 0 := by by_cases h : r₁ = 0 <;> simp [h]
#align orientation.two_zsmul_oangle_smul_smul_self Orientation.two_zsmul_oangle_smul_smul_self
theorem two_zsmul_oangle_left_of_span_eq {x y : V} (z : V) (h : (ℝ ∙ x) = ℝ ∙ y) :
(2 : ℤ) • o.oangle x z = (2 : ℤ) • o.oangle y z := by
rw [Submodule.span_singleton_eq_span_singleton] at h
rcases h with ⟨r, rfl⟩
exact (o.two_zsmul_oangle_smul_left_of_ne_zero _ _ (Units.ne_zero _)).symm
#align orientation.two_zsmul_oangle_left_of_span_eq Orientation.two_zsmul_oangle_left_of_span_eq
theorem two_zsmul_oangle_right_of_span_eq (x : V) {y z : V} (h : (ℝ ∙ y) = ℝ ∙ z) :
(2 : ℤ) • o.oangle x y = (2 : ℤ) • o.oangle x z := by
rw [Submodule.span_singleton_eq_span_singleton] at h
rcases h with ⟨r, rfl⟩
exact (o.two_zsmul_oangle_smul_right_of_ne_zero _ _ (Units.ne_zero _)).symm
#align orientation.two_zsmul_oangle_right_of_span_eq Orientation.two_zsmul_oangle_right_of_span_eq
theorem two_zsmul_oangle_of_span_eq_of_span_eq {w x y z : V} (hwx : (ℝ ∙ w) = ℝ ∙ x)
(hyz : (ℝ ∙ y) = ℝ ∙ z) : (2 : ℤ) • o.oangle w y = (2 : ℤ) • o.oangle x z := by
rw [o.two_zsmul_oangle_left_of_span_eq y hwx, o.two_zsmul_oangle_right_of_span_eq x hyz]
#align orientation.two_zsmul_oangle_of_span_eq_of_span_eq Orientation.two_zsmul_oangle_of_span_eq_of_span_eq
theorem oangle_eq_zero_iff_oangle_rev_eq_zero {x y : V} : o.oangle x y = 0 ↔ o.oangle y x = 0 := by
rw [oangle_rev, neg_eq_zero]
#align orientation.oangle_eq_zero_iff_oangle_rev_eq_zero Orientation.oangle_eq_zero_iff_oangle_rev_eq_zero
theorem oangle_eq_zero_iff_sameRay {x y : V} : o.oangle x y = 0 ↔ SameRay ℝ x y := by
rw [oangle, kahler_apply_apply, Complex.arg_coe_angle_eq_iff_eq_toReal, Real.Angle.toReal_zero,
Complex.arg_eq_zero_iff]
simpa using o.nonneg_inner_and_areaForm_eq_zero_iff_sameRay x y
#align orientation.oangle_eq_zero_iff_same_ray Orientation.oangle_eq_zero_iff_sameRay
theorem oangle_eq_pi_iff_oangle_rev_eq_pi {x y : V} : o.oangle x y = π ↔ o.oangle y x = π := by
rw [oangle_rev, neg_eq_iff_eq_neg, Real.Angle.neg_coe_pi]
#align orientation.oangle_eq_pi_iff_oangle_rev_eq_pi Orientation.oangle_eq_pi_iff_oangle_rev_eq_pi
theorem oangle_eq_pi_iff_sameRay_neg {x y : V} :
o.oangle x y = π ↔ x ≠ 0 ∧ y ≠ 0 ∧ SameRay ℝ x (-y) := by
rw [← o.oangle_eq_zero_iff_sameRay]
constructor
· intro h
by_cases hx : x = 0; · simp [hx, Real.Angle.pi_ne_zero.symm] at h
by_cases hy : y = 0; · simp [hy, Real.Angle.pi_ne_zero.symm] at h
refine ⟨hx, hy, ?_⟩
rw [o.oangle_neg_right hx hy, h, Real.Angle.coe_pi_add_coe_pi]
· rintro ⟨hx, hy, h⟩
rwa [o.oangle_neg_right hx hy, ← Real.Angle.sub_coe_pi_eq_add_coe_pi, sub_eq_zero] at h
#align orientation.oangle_eq_pi_iff_same_ray_neg Orientation.oangle_eq_pi_iff_sameRay_neg
theorem oangle_eq_zero_or_eq_pi_iff_not_linearIndependent {x y : V} :
o.oangle x y = 0 ∨ o.oangle x y = π ↔ ¬LinearIndependent ℝ ![x, y] := by
rw [oangle_eq_zero_iff_sameRay, oangle_eq_pi_iff_sameRay_neg,
sameRay_or_ne_zero_and_sameRay_neg_iff_not_linearIndependent]
#align orientation.oangle_eq_zero_or_eq_pi_iff_not_linear_independent Orientation.oangle_eq_zero_or_eq_pi_iff_not_linearIndependent
theorem oangle_eq_zero_or_eq_pi_iff_right_eq_smul {x y : V} :
o.oangle x y = 0 ∨ o.oangle x y = π ↔ x = 0 ∨ ∃ r : ℝ, y = r • x := by
rw [oangle_eq_zero_iff_sameRay, oangle_eq_pi_iff_sameRay_neg]
refine ⟨fun h => ?_, fun h => ?_⟩
· rcases h with (h | ⟨-, -, h⟩)
· by_cases hx : x = 0; · simp [hx]
obtain ⟨r, -, rfl⟩ := h.exists_nonneg_left hx
exact Or.inr ⟨r, rfl⟩
· by_cases hx : x = 0; · simp [hx]
obtain ⟨r, -, hy⟩ := h.exists_nonneg_left hx
refine Or.inr ⟨-r, ?_⟩
simp [hy]
· rcases h with (rfl | ⟨r, rfl⟩); · simp
by_cases hx : x = 0; · simp [hx]
rcases lt_trichotomy r 0 with (hr | hr | hr)
· rw [← neg_smul]
exact Or.inr ⟨hx, smul_ne_zero hr.ne hx,
SameRay.sameRay_pos_smul_right x (Left.neg_pos_iff.2 hr)⟩
· simp [hr]
· exact Or.inl (SameRay.sameRay_pos_smul_right x hr)
#align orientation.oangle_eq_zero_or_eq_pi_iff_right_eq_smul Orientation.oangle_eq_zero_or_eq_pi_iff_right_eq_smul
theorem oangle_ne_zero_and_ne_pi_iff_linearIndependent {x y : V} :
o.oangle x y ≠ 0 ∧ o.oangle x y ≠ π ↔ LinearIndependent ℝ ![x, y] := by
rw [← not_or, ← not_iff_not, Classical.not_not,
oangle_eq_zero_or_eq_pi_iff_not_linearIndependent]
#align orientation.oangle_ne_zero_and_ne_pi_iff_linear_independent Orientation.oangle_ne_zero_and_ne_pi_iff_linearIndependent
theorem eq_iff_norm_eq_and_oangle_eq_zero (x y : V) : x = y ↔ ‖x‖ = ‖y‖ ∧ o.oangle x y = 0 := by
rw [oangle_eq_zero_iff_sameRay]
constructor
· rintro rfl
simp; rfl
· rcases eq_or_ne y 0 with (rfl | hy)
· simp
rintro ⟨h₁, h₂⟩
obtain ⟨r, hr, rfl⟩ := h₂.exists_nonneg_right hy
have : ‖y‖ ≠ 0 := by simpa using hy
obtain rfl : r = 1 := by
apply mul_right_cancel₀ this
simpa [norm_smul, _root_.abs_of_nonneg hr] using h₁
simp
#align orientation.eq_iff_norm_eq_and_oangle_eq_zero Orientation.eq_iff_norm_eq_and_oangle_eq_zero
theorem eq_iff_oangle_eq_zero_of_norm_eq {x y : V} (h : ‖x‖ = ‖y‖) : x = y ↔ o.oangle x y = 0 :=
⟨fun he => ((o.eq_iff_norm_eq_and_oangle_eq_zero x y).1 he).2, fun ha =>
(o.eq_iff_norm_eq_and_oangle_eq_zero x y).2 ⟨h, ha⟩⟩
#align orientation.eq_iff_oangle_eq_zero_of_norm_eq Orientation.eq_iff_oangle_eq_zero_of_norm_eq
theorem eq_iff_norm_eq_of_oangle_eq_zero {x y : V} (h : o.oangle x y = 0) : x = y ↔ ‖x‖ = ‖y‖ :=
⟨fun he => ((o.eq_iff_norm_eq_and_oangle_eq_zero x y).1 he).1, fun hn =>
(o.eq_iff_norm_eq_and_oangle_eq_zero x y).2 ⟨hn, h⟩⟩
#align orientation.eq_iff_norm_eq_of_oangle_eq_zero Orientation.eq_iff_norm_eq_of_oangle_eq_zero
@[simp]
theorem oangle_add {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle x y + o.oangle y z = o.oangle x z := by
simp_rw [oangle]
rw [← Complex.arg_mul_coe_angle, o.kahler_mul y x z]
· congr 1
convert Complex.arg_real_mul _ (_ : 0 < ‖y‖ ^ 2) using 2
· norm_cast
· have : 0 < ‖y‖ := by simpa using hy
positivity
· exact o.kahler_ne_zero hx hy
· exact o.kahler_ne_zero hy hz
#align orientation.oangle_add Orientation.oangle_add
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 525 | 526 | theorem oangle_add_swap {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle y z + o.oangle x y = o.oangle x z := by | rw [add_comm, o.oangle_add hx hy hz]
|
import Mathlib.Data.ENNReal.Inv
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal ENNReal
namespace ENNReal
section Real
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
rfl
#align ennreal.to_real_add ENNReal.toReal_add
theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) :
(a - b).toReal = a.toReal - b.toReal := by
lift b to ℝ≥0 using ne_top_of_le_ne_top ha h
lift a to ℝ≥0 using ha
simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)]
#align ennreal.to_real_sub_of_le ENNReal.toReal_sub_of_le
theorem le_toReal_sub {a b : ℝ≥0∞} (hb : b ≠ ∞) : a.toReal - b.toReal ≤ (a - b).toReal := by
lift b to ℝ≥0 using hb
induction a
· simp
· simp only [← coe_sub, NNReal.sub_def, Real.coe_toNNReal', coe_toReal]
exact le_max_left _ _
#align ennreal.le_to_real_sub ENNReal.le_toReal_sub
theorem toReal_add_le : (a + b).toReal ≤ a.toReal + b.toReal :=
if ha : a = ∞ then by simp only [ha, top_add, top_toReal, zero_add, toReal_nonneg]
else
if hb : b = ∞ then by simp only [hb, add_top, top_toReal, add_zero, toReal_nonneg]
else le_of_eq (toReal_add ha hb)
#align ennreal.to_real_add_le ENNReal.toReal_add_le
theorem ofReal_add {p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) :
ENNReal.ofReal (p + q) = ENNReal.ofReal p + ENNReal.ofReal q := by
rw [ENNReal.ofReal, ENNReal.ofReal, ENNReal.ofReal, ← coe_add, coe_inj,
Real.toNNReal_add hp hq]
#align ennreal.of_real_add ENNReal.ofReal_add
theorem ofReal_add_le {p q : ℝ} : ENNReal.ofReal (p + q) ≤ ENNReal.ofReal p + ENNReal.ofReal q :=
coe_le_coe.2 Real.toNNReal_add_le
#align ennreal.of_real_add_le ENNReal.ofReal_add_le
@[simp]
theorem toReal_le_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal ≤ b.toReal ↔ a ≤ b := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
norm_cast
#align ennreal.to_real_le_to_real ENNReal.toReal_le_toReal
@[gcongr]
theorem toReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toReal ≤ b.toReal :=
(toReal_le_toReal (ne_top_of_le_ne_top hb h) hb).2 h
#align ennreal.to_real_mono ENNReal.toReal_mono
-- Porting note (#10756): new lemma
theorem toReal_mono' (h : a ≤ b) (ht : b = ∞ → a = ∞) : a.toReal ≤ b.toReal := by
rcases eq_or_ne a ∞ with rfl | ha
· exact toReal_nonneg
· exact toReal_mono (mt ht ha) h
@[simp]
theorem toReal_lt_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal < b.toReal ↔ a < b := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
norm_cast
#align ennreal.to_real_lt_to_real ENNReal.toReal_lt_toReal
@[gcongr]
theorem toReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toReal < b.toReal :=
(toReal_lt_toReal h.ne_top hb).2 h
#align ennreal.to_real_strict_mono ENNReal.toReal_strict_mono
@[gcongr]
theorem toNNReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toNNReal ≤ b.toNNReal :=
toReal_mono hb h
#align ennreal.to_nnreal_mono ENNReal.toNNReal_mono
-- Porting note (#10756): new lemma
theorem toReal_le_add' (hle : a ≤ b + c) (hb : b = ∞ → a = ∞) (hc : c = ∞ → a = ∞) :
a.toReal ≤ b.toReal + c.toReal := by
refine le_trans (toReal_mono' hle ?_) toReal_add_le
simpa only [add_eq_top, or_imp] using And.intro hb hc
-- Porting note (#10756): new lemma
theorem toReal_le_add (hle : a ≤ b + c) (hb : b ≠ ∞) (hc : c ≠ ∞) :
a.toReal ≤ b.toReal + c.toReal :=
toReal_le_add' hle (flip absurd hb) (flip absurd hc)
@[simp]
theorem toNNReal_le_toNNReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toNNReal ≤ b.toNNReal ↔ a ≤ b :=
⟨fun h => by rwa [← coe_toNNReal ha, ← coe_toNNReal hb, coe_le_coe], toNNReal_mono hb⟩
#align ennreal.to_nnreal_le_to_nnreal ENNReal.toNNReal_le_toNNReal
theorem toNNReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toNNReal < b.toNNReal := by
simpa [← ENNReal.coe_lt_coe, hb, h.ne_top]
#align ennreal.to_nnreal_strict_mono ENNReal.toNNReal_strict_mono
@[simp]
theorem toNNReal_lt_toNNReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toNNReal < b.toNNReal ↔ a < b :=
⟨fun h => by rwa [← coe_toNNReal ha, ← coe_toNNReal hb, coe_lt_coe], toNNReal_strict_mono hb⟩
#align ennreal.to_nnreal_lt_to_nnreal ENNReal.toNNReal_lt_toNNReal
theorem toReal_max (hr : a ≠ ∞) (hp : b ≠ ∞) :
ENNReal.toReal (max a b) = max (ENNReal.toReal a) (ENNReal.toReal b) :=
(le_total a b).elim
(fun h => by simp only [h, (ENNReal.toReal_le_toReal hr hp).2 h, max_eq_right]) fun h => by
simp only [h, (ENNReal.toReal_le_toReal hp hr).2 h, max_eq_left]
#align ennreal.to_real_max ENNReal.toReal_max
theorem toReal_min {a b : ℝ≥0∞} (hr : a ≠ ∞) (hp : b ≠ ∞) :
ENNReal.toReal (min a b) = min (ENNReal.toReal a) (ENNReal.toReal b) :=
(le_total a b).elim (fun h => by simp only [h, (ENNReal.toReal_le_toReal hr hp).2 h, min_eq_left])
fun h => by simp only [h, (ENNReal.toReal_le_toReal hp hr).2 h, min_eq_right]
#align ennreal.to_real_min ENNReal.toReal_min
theorem toReal_sup {a b : ℝ≥0∞} : a ≠ ∞ → b ≠ ∞ → (a ⊔ b).toReal = a.toReal ⊔ b.toReal :=
toReal_max
#align ennreal.to_real_sup ENNReal.toReal_sup
theorem toReal_inf {a b : ℝ≥0∞} : a ≠ ∞ → b ≠ ∞ → (a ⊓ b).toReal = a.toReal ⊓ b.toReal :=
toReal_min
#align ennreal.to_real_inf ENNReal.toReal_inf
theorem toNNReal_pos_iff : 0 < a.toNNReal ↔ 0 < a ∧ a < ∞ := by
induction a <;> simp
#align ennreal.to_nnreal_pos_iff ENNReal.toNNReal_pos_iff
theorem toNNReal_pos {a : ℝ≥0∞} (ha₀ : a ≠ 0) (ha_top : a ≠ ∞) : 0 < a.toNNReal :=
toNNReal_pos_iff.mpr ⟨bot_lt_iff_ne_bot.mpr ha₀, lt_top_iff_ne_top.mpr ha_top⟩
#align ennreal.to_nnreal_pos ENNReal.toNNReal_pos
theorem toReal_pos_iff : 0 < a.toReal ↔ 0 < a ∧ a < ∞ :=
NNReal.coe_pos.trans toNNReal_pos_iff
#align ennreal.to_real_pos_iff ENNReal.toReal_pos_iff
theorem toReal_pos {a : ℝ≥0∞} (ha₀ : a ≠ 0) (ha_top : a ≠ ∞) : 0 < a.toReal :=
toReal_pos_iff.mpr ⟨bot_lt_iff_ne_bot.mpr ha₀, lt_top_iff_ne_top.mpr ha_top⟩
#align ennreal.to_real_pos ENNReal.toReal_pos
@[gcongr]
theorem ofReal_le_ofReal {p q : ℝ} (h : p ≤ q) : ENNReal.ofReal p ≤ ENNReal.ofReal q := by
simp [ENNReal.ofReal, Real.toNNReal_le_toNNReal h]
#align ennreal.of_real_le_of_real ENNReal.ofReal_le_ofReal
theorem ofReal_le_of_le_toReal {a : ℝ} {b : ℝ≥0∞} (h : a ≤ ENNReal.toReal b) :
ENNReal.ofReal a ≤ b :=
(ofReal_le_ofReal h).trans ofReal_toReal_le
#align ennreal.of_real_le_of_le_to_real ENNReal.ofReal_le_of_le_toReal
@[simp]
theorem ofReal_le_ofReal_iff {p q : ℝ} (h : 0 ≤ q) :
ENNReal.ofReal p ≤ ENNReal.ofReal q ↔ p ≤ q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_le_coe, Real.toNNReal_le_toNNReal_iff h]
#align ennreal.of_real_le_of_real_iff ENNReal.ofReal_le_ofReal_iff
lemma ofReal_le_ofReal_iff' {p q : ℝ} : ENNReal.ofReal p ≤ .ofReal q ↔ p ≤ q ∨ p ≤ 0 :=
coe_le_coe.trans Real.toNNReal_le_toNNReal_iff'
lemma ofReal_lt_ofReal_iff' {p q : ℝ} : ENNReal.ofReal p < .ofReal q ↔ p < q ∧ 0 < q :=
coe_lt_coe.trans Real.toNNReal_lt_toNNReal_iff'
@[simp]
theorem ofReal_eq_ofReal_iff {p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) :
ENNReal.ofReal p = ENNReal.ofReal q ↔ p = q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_inj, Real.toNNReal_eq_toNNReal_iff hp hq]
#align ennreal.of_real_eq_of_real_iff ENNReal.ofReal_eq_ofReal_iff
@[simp]
theorem ofReal_lt_ofReal_iff {p q : ℝ} (h : 0 < q) :
ENNReal.ofReal p < ENNReal.ofReal q ↔ p < q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_lt_coe, Real.toNNReal_lt_toNNReal_iff h]
#align ennreal.of_real_lt_of_real_iff ENNReal.ofReal_lt_ofReal_iff
theorem ofReal_lt_ofReal_iff_of_nonneg {p q : ℝ} (hp : 0 ≤ p) :
ENNReal.ofReal p < ENNReal.ofReal q ↔ p < q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_lt_coe, Real.toNNReal_lt_toNNReal_iff_of_nonneg hp]
#align ennreal.of_real_lt_of_real_iff_of_nonneg ENNReal.ofReal_lt_ofReal_iff_of_nonneg
@[simp]
theorem ofReal_pos {p : ℝ} : 0 < ENNReal.ofReal p ↔ 0 < p := by simp [ENNReal.ofReal]
#align ennreal.of_real_pos ENNReal.ofReal_pos
@[simp]
theorem ofReal_eq_zero {p : ℝ} : ENNReal.ofReal p = 0 ↔ p ≤ 0 := by simp [ENNReal.ofReal]
#align ennreal.of_real_eq_zero ENNReal.ofReal_eq_zero
@[simp]
theorem zero_eq_ofReal {p : ℝ} : 0 = ENNReal.ofReal p ↔ p ≤ 0 :=
eq_comm.trans ofReal_eq_zero
#align ennreal.zero_eq_of_real ENNReal.zero_eq_ofReal
alias ⟨_, ofReal_of_nonpos⟩ := ofReal_eq_zero
#align ennreal.of_real_of_nonpos ENNReal.ofReal_of_nonpos
@[simp]
lemma ofReal_lt_natCast {p : ℝ} {n : ℕ} (hn : n ≠ 0) : ENNReal.ofReal p < n ↔ p < n := by
exact mod_cast ofReal_lt_ofReal_iff (Nat.cast_pos.2 hn.bot_lt)
@[deprecated (since := "2024-04-17")]
alias ofReal_lt_nat_cast := ofReal_lt_natCast
@[simp]
lemma ofReal_lt_one {p : ℝ} : ENNReal.ofReal p < 1 ↔ p < 1 := by
exact mod_cast ofReal_lt_natCast one_ne_zero
@[simp]
lemma ofReal_lt_ofNat {p : ℝ} {n : ℕ} [n.AtLeastTwo] :
ENNReal.ofReal p < no_index (OfNat.ofNat n) ↔ p < OfNat.ofNat n :=
ofReal_lt_natCast (NeZero.ne n)
@[simp]
lemma natCast_le_ofReal {n : ℕ} {p : ℝ} (hn : n ≠ 0) : n ≤ ENNReal.ofReal p ↔ n ≤ p := by
simp only [← not_lt, ofReal_lt_natCast hn]
@[deprecated (since := "2024-04-17")]
alias nat_cast_le_ofReal := natCast_le_ofReal
@[simp]
lemma one_le_ofReal {p : ℝ} : 1 ≤ ENNReal.ofReal p ↔ 1 ≤ p := by
exact mod_cast natCast_le_ofReal one_ne_zero
@[simp]
lemma ofNat_le_ofReal {n : ℕ} [n.AtLeastTwo] {p : ℝ} :
no_index (OfNat.ofNat n) ≤ ENNReal.ofReal p ↔ OfNat.ofNat n ≤ p :=
natCast_le_ofReal (NeZero.ne n)
@[simp]
lemma ofReal_le_natCast {r : ℝ} {n : ℕ} : ENNReal.ofReal r ≤ n ↔ r ≤ n :=
coe_le_coe.trans Real.toNNReal_le_natCast
@[deprecated (since := "2024-04-17")]
alias ofReal_le_nat_cast := ofReal_le_natCast
@[simp]
lemma ofReal_le_one {r : ℝ} : ENNReal.ofReal r ≤ 1 ↔ r ≤ 1 :=
coe_le_coe.trans Real.toNNReal_le_one
@[simp]
lemma ofReal_le_ofNat {r : ℝ} {n : ℕ} [n.AtLeastTwo] :
ENNReal.ofReal r ≤ no_index (OfNat.ofNat n) ↔ r ≤ OfNat.ofNat n :=
ofReal_le_natCast
@[simp]
lemma natCast_lt_ofReal {n : ℕ} {r : ℝ} : n < ENNReal.ofReal r ↔ n < r :=
coe_lt_coe.trans Real.natCast_lt_toNNReal
@[deprecated (since := "2024-04-17")]
alias nat_cast_lt_ofReal := natCast_lt_ofReal
@[simp]
lemma one_lt_ofReal {r : ℝ} : 1 < ENNReal.ofReal r ↔ 1 < r := coe_lt_coe.trans Real.one_lt_toNNReal
@[simp]
lemma ofNat_lt_ofReal {n : ℕ} [n.AtLeastTwo] {r : ℝ} :
no_index (OfNat.ofNat n) < ENNReal.ofReal r ↔ OfNat.ofNat n < r :=
natCast_lt_ofReal
@[simp]
lemma ofReal_eq_natCast {r : ℝ} {n : ℕ} (h : n ≠ 0) : ENNReal.ofReal r = n ↔ r = n :=
ENNReal.coe_inj.trans <| Real.toNNReal_eq_natCast h
@[deprecated (since := "2024-04-17")]
alias ofReal_eq_nat_cast := ofReal_eq_natCast
@[simp]
lemma ofReal_eq_one {r : ℝ} : ENNReal.ofReal r = 1 ↔ r = 1 :=
ENNReal.coe_inj.trans Real.toNNReal_eq_one
@[simp]
lemma ofReal_eq_ofNat {r : ℝ} {n : ℕ} [n.AtLeastTwo] :
ENNReal.ofReal r = no_index (OfNat.ofNat n) ↔ r = OfNat.ofNat n :=
ofReal_eq_natCast (NeZero.ne n)
theorem ofReal_sub (p : ℝ) {q : ℝ} (hq : 0 ≤ q) :
ENNReal.ofReal (p - q) = ENNReal.ofReal p - ENNReal.ofReal q := by
obtain h | h := le_total p q
· rw [ofReal_of_nonpos (sub_nonpos_of_le h), tsub_eq_zero_of_le (ofReal_le_ofReal h)]
refine ENNReal.eq_sub_of_add_eq ofReal_ne_top ?_
rw [← ofReal_add (sub_nonneg_of_le h) hq, sub_add_cancel]
#align ennreal.of_real_sub ENNReal.ofReal_sub
theorem ofReal_le_iff_le_toReal {a : ℝ} {b : ℝ≥0∞} (hb : b ≠ ∞) :
ENNReal.ofReal a ≤ b ↔ a ≤ ENNReal.toReal b := by
lift b to ℝ≥0 using hb
simpa [ENNReal.ofReal, ENNReal.toReal] using Real.toNNReal_le_iff_le_coe
#align ennreal.of_real_le_iff_le_to_real ENNReal.ofReal_le_iff_le_toReal
theorem ofReal_lt_iff_lt_toReal {a : ℝ} {b : ℝ≥0∞} (ha : 0 ≤ a) (hb : b ≠ ∞) :
ENNReal.ofReal a < b ↔ a < ENNReal.toReal b := by
lift b to ℝ≥0 using hb
simpa [ENNReal.ofReal, ENNReal.toReal] using Real.toNNReal_lt_iff_lt_coe ha
#align ennreal.of_real_lt_iff_lt_to_real ENNReal.ofReal_lt_iff_lt_toReal
theorem ofReal_lt_coe_iff {a : ℝ} {b : ℝ≥0} (ha : 0 ≤ a) : ENNReal.ofReal a < b ↔ a < b :=
(ofReal_lt_iff_lt_toReal ha coe_ne_top).trans <| by rw [coe_toReal]
theorem le_ofReal_iff_toReal_le {a : ℝ≥0∞} {b : ℝ} (ha : a ≠ ∞) (hb : 0 ≤ b) :
a ≤ ENNReal.ofReal b ↔ ENNReal.toReal a ≤ b := by
lift a to ℝ≥0 using ha
simpa [ENNReal.ofReal, ENNReal.toReal] using Real.le_toNNReal_iff_coe_le hb
#align ennreal.le_of_real_iff_to_real_le ENNReal.le_ofReal_iff_toReal_le
theorem toReal_le_of_le_ofReal {a : ℝ≥0∞} {b : ℝ} (hb : 0 ≤ b) (h : a ≤ ENNReal.ofReal b) :
ENNReal.toReal a ≤ b :=
have ha : a ≠ ∞ := ne_top_of_le_ne_top ofReal_ne_top h
(le_ofReal_iff_toReal_le ha hb).1 h
#align ennreal.to_real_le_of_le_of_real ENNReal.toReal_le_of_le_ofReal
theorem lt_ofReal_iff_toReal_lt {a : ℝ≥0∞} {b : ℝ} (ha : a ≠ ∞) :
a < ENNReal.ofReal b ↔ ENNReal.toReal a < b := by
lift a to ℝ≥0 using ha
simpa [ENNReal.ofReal, ENNReal.toReal] using Real.lt_toNNReal_iff_coe_lt
#align ennreal.lt_of_real_iff_to_real_lt ENNReal.lt_ofReal_iff_toReal_lt
theorem toReal_lt_of_lt_ofReal {b : ℝ} (h : a < ENNReal.ofReal b) : ENNReal.toReal a < b :=
(lt_ofReal_iff_toReal_lt h.ne_top).1 h
theorem ofReal_mul {p q : ℝ} (hp : 0 ≤ p) :
ENNReal.ofReal (p * q) = ENNReal.ofReal p * ENNReal.ofReal q := by
simp only [ENNReal.ofReal, ← coe_mul, Real.toNNReal_mul hp]
#align ennreal.of_real_mul ENNReal.ofReal_mul
theorem ofReal_mul' {p q : ℝ} (hq : 0 ≤ q) :
ENNReal.ofReal (p * q) = ENNReal.ofReal p * ENNReal.ofReal q := by
rw [mul_comm, ofReal_mul hq, mul_comm]
#align ennreal.of_real_mul' ENNReal.ofReal_mul'
theorem ofReal_pow {p : ℝ} (hp : 0 ≤ p) (n : ℕ) :
ENNReal.ofReal (p ^ n) = ENNReal.ofReal p ^ n := by
rw [ofReal_eq_coe_nnreal hp, ← coe_pow, ← ofReal_coe_nnreal, NNReal.coe_pow, NNReal.coe_mk]
#align ennreal.of_real_pow ENNReal.ofReal_pow
theorem ofReal_nsmul {x : ℝ} {n : ℕ} : ENNReal.ofReal (n • x) = n • ENNReal.ofReal x := by
simp only [nsmul_eq_mul, ← ofReal_natCast n, ← ofReal_mul n.cast_nonneg]
#align ennreal.of_real_nsmul ENNReal.ofReal_nsmul
theorem ofReal_inv_of_pos {x : ℝ} (hx : 0 < x) : ENNReal.ofReal x⁻¹ = (ENNReal.ofReal x)⁻¹ := by
rw [ENNReal.ofReal, ENNReal.ofReal, ← @coe_inv (Real.toNNReal x) (by simp [hx]), coe_inj,
← Real.toNNReal_inv]
#align ennreal.of_real_inv_of_pos ENNReal.ofReal_inv_of_pos
theorem ofReal_div_of_pos {x y : ℝ} (hy : 0 < y) :
ENNReal.ofReal (x / y) = ENNReal.ofReal x / ENNReal.ofReal y := by
rw [div_eq_mul_inv, div_eq_mul_inv, ofReal_mul' (inv_nonneg.2 hy.le), ofReal_inv_of_pos hy]
#align ennreal.of_real_div_of_pos ENNReal.ofReal_div_of_pos
@[simp]
theorem toNNReal_mul {a b : ℝ≥0∞} : (a * b).toNNReal = a.toNNReal * b.toNNReal :=
WithTop.untop'_zero_mul a b
#align ennreal.to_nnreal_mul ENNReal.toNNReal_mul
theorem toNNReal_mul_top (a : ℝ≥0∞) : ENNReal.toNNReal (a * ∞) = 0 := by simp
#align ennreal.to_nnreal_mul_top ENNReal.toNNReal_mul_top
| Mathlib/Data/ENNReal/Real.lean | 393 | 393 | theorem toNNReal_top_mul (a : ℝ≥0∞) : ENNReal.toNNReal (∞ * a) = 0 := by | simp
|
import Mathlib.Algebra.GroupWithZero.Indicator
import Mathlib.Topology.ContinuousOn
import Mathlib.Topology.Instances.ENNReal
#align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology ENNReal
open Set Function Filter
variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α}
{s t : Set α} {y z : β}
def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) :=
∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x'
#align lower_semicontinuous_within_at LowerSemicontinuousWithinAt
def LowerSemicontinuousOn (f : α → β) (s : Set α) :=
∀ x ∈ s, LowerSemicontinuousWithinAt f s x
#align lower_semicontinuous_on LowerSemicontinuousOn
def LowerSemicontinuousAt (f : α → β) (x : α) :=
∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x'
#align lower_semicontinuous_at LowerSemicontinuousAt
def LowerSemicontinuous (f : α → β) :=
∀ x, LowerSemicontinuousAt f x
#align lower_semicontinuous LowerSemicontinuous
def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) :=
∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y
#align upper_semicontinuous_within_at UpperSemicontinuousWithinAt
def UpperSemicontinuousOn (f : α → β) (s : Set α) :=
∀ x ∈ s, UpperSemicontinuousWithinAt f s x
#align upper_semicontinuous_on UpperSemicontinuousOn
def UpperSemicontinuousAt (f : α → β) (x : α) :=
∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y
#align upper_semicontinuous_at UpperSemicontinuousAt
def UpperSemicontinuous (f : α → β) :=
∀ x, UpperSemicontinuousAt f x
#align upper_semicontinuous UpperSemicontinuous
theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) :
LowerSemicontinuousWithinAt f t x := fun y hy =>
Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy)
#align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono
| Mathlib/Topology/Semicontinuous.lean | 150 | 152 | theorem lowerSemicontinuousWithinAt_univ_iff :
LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by |
simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ]
|
import Mathlib.Logic.Relation
import Mathlib.Data.Option.Basic
import Mathlib.Data.Seq.Seq
#align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace Stream'
open Function
universe u v w
def WSeq (α) :=
Seq (Option α)
#align stream.wseq Stream'.WSeq
namespace WSeq
variable {α : Type u} {β : Type v} {γ : Type w}
@[coe]
def ofSeq : Seq α → WSeq α :=
(· <$> ·) some
#align stream.wseq.of_seq Stream'.WSeq.ofSeq
@[coe]
def ofList (l : List α) : WSeq α :=
ofSeq l
#align stream.wseq.of_list Stream'.WSeq.ofList
@[coe]
def ofStream (l : Stream' α) : WSeq α :=
ofSeq l
#align stream.wseq.of_stream Stream'.WSeq.ofStream
instance coeSeq : Coe (Seq α) (WSeq α) :=
⟨ofSeq⟩
#align stream.wseq.coe_seq Stream'.WSeq.coeSeq
instance coeList : Coe (List α) (WSeq α) :=
⟨ofList⟩
#align stream.wseq.coe_list Stream'.WSeq.coeList
instance coeStream : Coe (Stream' α) (WSeq α) :=
⟨ofStream⟩
#align stream.wseq.coe_stream Stream'.WSeq.coeStream
def nil : WSeq α :=
Seq.nil
#align stream.wseq.nil Stream'.WSeq.nil
instance inhabited : Inhabited (WSeq α) :=
⟨nil⟩
#align stream.wseq.inhabited Stream'.WSeq.inhabited
def cons (a : α) : WSeq α → WSeq α :=
Seq.cons (some a)
#align stream.wseq.cons Stream'.WSeq.cons
def think : WSeq α → WSeq α :=
Seq.cons none
#align stream.wseq.think Stream'.WSeq.think
def destruct : WSeq α → Computation (Option (α × WSeq α)) :=
Computation.corec fun s =>
match Seq.destruct s with
| none => Sum.inl none
| some (none, s') => Sum.inr s'
| some (some a, s') => Sum.inl (some (a, s'))
#align stream.wseq.destruct Stream'.WSeq.destruct
def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s))
(h3 : ∀ s, C (think s)) : C s :=
Seq.recOn s h1 fun o => Option.recOn o h3 h2
#align stream.wseq.rec_on Stream'.WSeq.recOn
protected def Mem (a : α) (s : WSeq α) :=
Seq.Mem (some a) s
#align stream.wseq.mem Stream'.WSeq.Mem
instance membership : Membership α (WSeq α) :=
⟨WSeq.Mem⟩
#align stream.wseq.has_mem Stream'.WSeq.membership
theorem not_mem_nil (a : α) : a ∉ @nil α :=
Seq.not_mem_nil (some a)
#align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil
def head (s : WSeq α) : Computation (Option α) :=
Computation.map (Prod.fst <$> ·) (destruct s)
#align stream.wseq.head Stream'.WSeq.head
def flatten : Computation (WSeq α) → WSeq α :=
Seq.corec fun c =>
match Computation.destruct c with
| Sum.inl s => Seq.omap (return ·) (Seq.destruct s)
| Sum.inr c' => some (none, c')
#align stream.wseq.flatten Stream'.WSeq.flatten
def tail (s : WSeq α) : WSeq α :=
flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s
#align stream.wseq.tail Stream'.WSeq.tail
def drop (s : WSeq α) : ℕ → WSeq α
| 0 => s
| n + 1 => tail (drop s n)
#align stream.wseq.drop Stream'.WSeq.drop
def get? (s : WSeq α) (n : ℕ) : Computation (Option α) :=
head (drop s n)
#align stream.wseq.nth Stream'.WSeq.get?
def toList (s : WSeq α) : Computation (List α) :=
@Computation.corec (List α) (List α × WSeq α)
(fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s'))
([], s)
#align stream.wseq.to_list Stream'.WSeq.toList
def length (s : WSeq α) : Computation ℕ :=
@Computation.corec ℕ (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s with
| none => Sum.inl n
| some (none, s') => Sum.inr (n, s')
| some (some _, s') => Sum.inr (n + 1, s'))
(0, s)
#align stream.wseq.length Stream'.WSeq.length
class IsFinite (s : WSeq α) : Prop where
out : (toList s).Terminates
#align stream.wseq.is_finite Stream'.WSeq.IsFinite
instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates :=
h.out
#align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates
def get (s : WSeq α) [IsFinite s] : List α :=
(toList s).get
#align stream.wseq.get Stream'.WSeq.get
class Productive (s : WSeq α) : Prop where
get?_terminates : ∀ n, (get? s n).Terminates
#align stream.wseq.productive Stream'.WSeq.Productive
#align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates
theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align stream.wseq.productive_iff Stream'.WSeq.productive_iff
instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates :=
h.get?_terminates
#align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates
instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates :=
s.get?_terminates 0
#align stream.wseq.head_terminates Stream'.WSeq.head_terminates
def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s, n with
| none, _ => none
| some (none, s'), n => some (none, n, s')
| some (some a', s'), 0 => some (some a', 0, s')
| some (some _, s'), 1 => some (some a, 0, s')
| some (some a', s'), n + 2 => some (some a', n + 1, s'))
(n + 1, s)
#align stream.wseq.update_nth Stream'.WSeq.updateNth
def removeNth (s : WSeq α) (n : ℕ) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s, n with
| none, _ => none
| some (none, s'), n => some (none, n, s')
| some (some a', s'), 0 => some (some a', 0, s')
| some (some _, s'), 1 => some (none, 0, s')
| some (some a', s'), n + 2 => some (some a', n + 1, s'))
(n + 1, s)
#align stream.wseq.remove_nth Stream'.WSeq.removeNth
def filterMap (f : α → Option β) : WSeq α → WSeq β :=
Seq.corec fun s =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, s')
| some (some a, s') => some (f a, s')
#align stream.wseq.filter_map Stream'.WSeq.filterMap
def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α :=
filterMap fun a => if p a then some a else none
#align stream.wseq.filter Stream'.WSeq.filter
-- example of infinite list manipulations
def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) :=
head <| filter p s
#align stream.wseq.find Stream'.WSeq.find
def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ :=
@Seq.corec (Option γ) (WSeq α × WSeq β)
(fun ⟨s1, s2⟩ =>
match Seq.destruct s1, Seq.destruct s2 with
| some (none, s1'), some (none, s2') => some (none, s1', s2')
| some (some _, _), some (none, s2') => some (none, s1, s2')
| some (none, s1'), some (some _, _) => some (none, s1', s2)
| some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2')
| _, _ => none)
(s1, s2)
#align stream.wseq.zip_with Stream'.WSeq.zipWith
def zip : WSeq α → WSeq β → WSeq (α × β) :=
zipWith Prod.mk
#align stream.wseq.zip Stream'.WSeq.zip
def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ :=
(zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none
#align stream.wseq.find_indexes Stream'.WSeq.findIndexes
def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ :=
(fun o => Option.getD o 0) <$> head (findIndexes p s)
#align stream.wseq.find_index Stream'.WSeq.findIndex
def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ :=
findIndex (Eq a)
#align stream.wseq.index_of Stream'.WSeq.indexOf
def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ :=
findIndexes (Eq a)
#align stream.wseq.indexes_of Stream'.WSeq.indexesOf
def union (s1 s2 : WSeq α) : WSeq α :=
@Seq.corec (Option α) (WSeq α × WSeq α)
(fun ⟨s1, s2⟩ =>
match Seq.destruct s1, Seq.destruct s2 with
| none, none => none
| some (a1, s1'), none => some (a1, s1', nil)
| none, some (a2, s2') => some (a2, nil, s2')
| some (none, s1'), some (none, s2') => some (none, s1', s2')
| some (some a1, s1'), some (none, s2') => some (some a1, s1', s2')
| some (none, s1'), some (some a2, s2') => some (some a2, s1', s2')
| some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2'))
(s1, s2)
#align stream.wseq.union Stream'.WSeq.union
def isEmpty (s : WSeq α) : Computation Bool :=
Computation.map Option.isNone <| head s
#align stream.wseq.is_empty Stream'.WSeq.isEmpty
def compute (s : WSeq α) : WSeq α :=
match Seq.destruct s with
| some (none, s') => s'
| _ => s
#align stream.wseq.compute Stream'.WSeq.compute
def take (s : WSeq α) (n : ℕ) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match n, Seq.destruct s with
| 0, _ => none
| _ + 1, none => none
| m + 1, some (none, s') => some (none, m + 1, s')
| m + 1, some (some a, s') => some (some a, m, s'))
(n, s)
#align stream.wseq.take Stream'.WSeq.take
def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) :=
@Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α)
(fun ⟨n, l, s⟩ =>
match n, Seq.destruct s with
| 0, _ => Sum.inl (l.reverse, s)
| _ + 1, none => Sum.inl (l.reverse, s)
| _ + 1, some (none, s') => Sum.inr (n, l, s')
| m + 1, some (some a, s') => Sum.inr (m, a::l, s'))
(n, [], s)
#align stream.wseq.split_at Stream'.WSeq.splitAt
def any (s : WSeq α) (p : α → Bool) : Computation Bool :=
Computation.corec
(fun s : WSeq α =>
match Seq.destruct s with
| none => Sum.inl false
| some (none, s') => Sum.inr s'
| some (some a, s') => if p a then Sum.inl true else Sum.inr s')
s
#align stream.wseq.any Stream'.WSeq.any
def all (s : WSeq α) (p : α → Bool) : Computation Bool :=
Computation.corec
(fun s : WSeq α =>
match Seq.destruct s with
| none => Sum.inl true
| some (none, s') => Sum.inr s'
| some (some a, s') => if p a then Sum.inr s' else Sum.inl false)
s
#align stream.wseq.all Stream'.WSeq.all
def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α :=
cons a <|
@Seq.corec (Option α) (α × WSeq β)
(fun ⟨a, s⟩ =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, a, s')
| some (some b, s') =>
let a' := f a b
some (some a', a', s'))
(a, s)
#align stream.wseq.scanl Stream'.WSeq.scanl
def inits (s : WSeq α) : WSeq (List α) :=
cons [] <|
@Seq.corec (Option (List α)) (Batteries.DList α × WSeq α)
(fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, l, s')
| some (some a, s') =>
let l' := l.push a
some (some l'.toList, l', s'))
(Batteries.DList.empty, s)
#align stream.wseq.inits Stream'.WSeq.inits
def collect (s : WSeq α) (n : ℕ) : List α :=
(Seq.take n s).filterMap id
#align stream.wseq.collect Stream'.WSeq.collect
def append : WSeq α → WSeq α → WSeq α :=
Seq.append
#align stream.wseq.append Stream'.WSeq.append
def map (f : α → β) : WSeq α → WSeq β :=
Seq.map (Option.map f)
#align stream.wseq.map Stream'.WSeq.map
def join (S : WSeq (WSeq α)) : WSeq α :=
Seq.join
((fun o : Option (WSeq α) =>
match o with
| none => Seq1.ret none
| some s => (none, s)) <$>
S)
#align stream.wseq.join Stream'.WSeq.join
def bind (s : WSeq α) (f : α → WSeq β) : WSeq β :=
join (map f s)
#align stream.wseq.bind Stream'.WSeq.bind
@[simp]
def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) :
Option (α × WSeq α) → Option (β × WSeq β) → Prop
| none, none => True
| some (a, s), some (b, t) => R a b ∧ C s t
| _, _ => False
#align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO
theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b)
(H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p
| none, none, _ => trivial
| some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h
| none, some _, h => False.elim h
| some (_, _), none, h => False.elim h
#align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp
theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop}
(H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p :=
LiftRelO.imp (fun _ _ => id) H
#align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right
@[simp]
def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop :=
LiftRelO (· = ·) R
#align stream.wseq.bisim_o Stream'.WSeq.BisimO
theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} :
BisimO R o p → BisimO S o p :=
LiftRelO.imp_right _ H
#align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp
def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop :=
∃ C : WSeq α → WSeq β → Prop,
C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t)
#align stream.wseq.lift_rel Stream'.WSeq.LiftRel
def Equiv : WSeq α → WSeq α → Prop :=
LiftRel (· = ·)
#align stream.wseq.equiv Stream'.WSeq.Equiv
theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} :
LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t)
| ⟨R, h1, h2⟩ => by
refine Computation.LiftRel.imp ?_ _ _ (h2 h1)
apply LiftRelO.imp_right
exact fun s' t' h' => ⟨R, h', @h2⟩
#align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct
theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} :
LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) :=
⟨liftRel_destruct, fun h =>
⟨fun s t =>
LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t),
Or.inr h, fun {s t} h => by
have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by
cases' h with h h
· exact liftRel_destruct h
· assumption
apply Computation.LiftRel.imp _ _ _ h
intro a b
apply LiftRelO.imp_right
intro s t
apply Or.inl⟩⟩
#align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff
-- Porting note: To avoid ambiguous notation, `~` became `~ʷ`.
infixl:50 " ~ʷ " => Equiv
theorem destruct_congr {s t : WSeq α} :
s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) :=
liftRel_destruct
#align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr
theorem destruct_congr_iff {s t : WSeq α} :
s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) :=
liftRel_destruct_iff
#align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff
theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by
refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩
rw [← h]
apply Computation.LiftRel.refl
intro a
cases' a with a
· simp
· cases a
simp only [LiftRelO, and_true]
apply H
#align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl
theorem LiftRelO.swap (R : α → β → Prop) (C) :
swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by
funext x y
rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl
#align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap
theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) :
LiftRel (swap R) s2 s1 := by
refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩
rw [← LiftRelO.swap, Computation.LiftRel.swap]
apply liftRel_destruct h
#align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem
theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) :=
funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩
#align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap
theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) :=
fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h
#align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm
theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) :=
fun s t u h1 h2 => by
refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩
rcases h with ⟨t, h1, h2⟩
have h1 := liftRel_destruct h1
have h2 := liftRel_destruct h2
refine
Computation.liftRel_def.2
⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2),
fun {a c} ha hc => ?_⟩
rcases h1.left ha with ⟨b, hb, t1⟩
have t2 := Computation.rel_of_liftRel h2 hb hc
cases' a with a <;> cases' c with c
· trivial
· cases b
· cases t2
· cases t1
· cases a
cases' b with b
· cases t1
· cases b
cases t2
· cases' a with a s
cases' b with b
· cases t1
cases' b with b t
cases' c with c u
cases' t1 with ab st
cases' t2 with bc tu
exact ⟨H ab bc, t, st, tu⟩
#align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans
theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R)
| ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩
#align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv
@[refl]
theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s :=
LiftRel.refl (· = ·) Eq.refl
#align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl
@[symm]
theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s :=
@(LiftRel.symm (· = ·) (@Eq.symm _))
#align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm
@[trans]
theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u :=
@(LiftRel.trans (· = ·) (@Eq.trans _))
#align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans
theorem Equiv.equivalence : Equivalence (@Equiv α) :=
⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩
#align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence
open Computation
@[simp]
theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none :=
Computation.destruct_eq_pure rfl
#align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil
@[simp]
theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) :=
Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap]
#align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons
@[simp]
theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think :=
Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap]
#align stream.wseq.destruct_think Stream'.WSeq.destruct_think
@[simp]
theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none :=
Seq.destruct_nil
#align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil
@[simp]
theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) :=
Seq.destruct_cons _ _
#align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons
@[simp]
theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) :=
Seq.destruct_cons _ _
#align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think
@[simp]
theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head]
#align stream.wseq.head_nil Stream'.WSeq.head_nil
@[simp]
theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head]
#align stream.wseq.head_cons Stream'.WSeq.head_cons
@[simp]
theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head]
#align stream.wseq.head_think Stream'.WSeq.head_think
@[simp]
theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by
refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl
intro s' s h
rw [← h]
simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure]
cases Seq.destruct s with
| none => simp
| some val =>
cases' val with o s'
simp
#align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure
@[simp]
theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) :=
Seq.destruct_eq_cons <| by simp [flatten, think]
#align stream.wseq.flatten_think Stream'.WSeq.flatten_think
@[simp]
theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by
refine
Computation.eq_of_bisim
(fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_
(Or.inr ⟨c, rfl, rfl⟩)
intro c1 c2 h
exact
match c1, c2, h with
| c, _, Or.inl rfl => by cases c.destruct <;> simp
| _, _, Or.inr ⟨c, rfl, rfl⟩ => by
induction' c using Computation.recOn with a c' <;> simp
· cases (destruct a).destruct <;> simp
· exact Or.inr ⟨c', rfl, rfl⟩
#align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten
theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) :=
terminates_map_iff _ (destruct s)
#align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff
@[simp]
theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail]
#align stream.wseq.tail_nil Stream'.WSeq.tail_nil
@[simp]
theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail]
#align stream.wseq.tail_cons Stream'.WSeq.tail_cons
@[simp]
theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail]
#align stream.wseq.tail_think Stream'.WSeq.tail_think
@[simp]
theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop]
#align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil
@[simp]
theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by
induction n with
| zero => simp [drop]
| succ n n_ih =>
-- porting note (#10745): was `simp [*, drop]`.
simp [drop, ← n_ih]
#align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons
@[simp]
theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by
induction n <;> simp [*, drop]
#align stream.wseq.dropn_think Stream'.WSeq.dropn_think
theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n
| 0 => rfl
| n + 1 => congr_arg tail (dropn_add s m n)
#align stream.wseq.dropn_add Stream'.WSeq.dropn_add
theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by
rw [Nat.add_comm]
symm
apply dropn_add
#align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail
theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n :=
congr_arg head (dropn_add _ _ _)
#align stream.wseq.nth_add Stream'.WSeq.get?_add
theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) :=
congr_arg head (dropn_tail _ _)
#align stream.wseq.nth_tail Stream'.WSeq.get?_tail
@[simp]
theorem join_nil : join nil = (nil : WSeq α) :=
Seq.join_nil
#align stream.wseq.join_nil Stream'.WSeq.join_nil
@[simp]
theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by
simp only [join, think]
dsimp only [(· <$> ·)]
simp [join, Seq1.ret]
#align stream.wseq.join_think Stream'.WSeq.join_think
@[simp]
theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by
simp only [join, think]
dsimp only [(· <$> ·)]
simp [join, cons, append]
#align stream.wseq.join_cons Stream'.WSeq.join_cons
@[simp]
theorem nil_append (s : WSeq α) : append nil s = s :=
Seq.nil_append _
#align stream.wseq.nil_append Stream'.WSeq.nil_append
@[simp]
theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) :=
Seq.cons_append _ _ _
#align stream.wseq.cons_append Stream'.WSeq.cons_append
@[simp]
theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) :=
Seq.cons_append _ _ _
#align stream.wseq.think_append Stream'.WSeq.think_append
@[simp]
theorem append_nil (s : WSeq α) : append s nil = s :=
Seq.append_nil _
#align stream.wseq.append_nil Stream'.WSeq.append_nil
@[simp]
theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) :=
Seq.append_assoc _ _ _
#align stream.wseq.append_assoc Stream'.WSeq.append_assoc
@[simp]
def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α))
| none => Computation.pure none
| some (_, s) => destruct s
#align stream.wseq.tail.aux Stream'.WSeq.tail.aux
theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by
simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc]
apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp
#align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail
@[simp]
def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α))
| 0 => Computation.pure
| n + 1 => fun a => tail.aux a >>= drop.aux n
#align stream.wseq.drop.aux Stream'.WSeq.drop.aux
theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none
| 0 => rfl
| n + 1 =>
show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by
rw [ret_bind, drop.aux_none n]
#align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none
theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n
| s, 0 => (bind_pure' _).symm
| s, n + 1 => by
rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc]
rfl
#align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn
theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] :
Terminates (head s) :=
(head_terminates_iff _).2 <| by
rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩
simp? [tail] at h says simp only [tail, destruct_flatten] at h
rcases exists_of_mem_bind h with ⟨s', h1, _⟩
unfold Functor.map at h1
exact
let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1
Computation.terminates_of_mem h3
#align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates
theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) :
∃ a', some a' ∈ destruct s := by
unfold tail Functor.map at h; simp only [destruct_flatten] at h
rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h
rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm
cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td
· have := mem_unique td (ret_mem _)
contradiction
· exact ⟨_, ht'⟩
#align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some
theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) :
∃ a', some a' ∈ head s := by
unfold head at h
rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h
cases' o with o <;> [injection e; injection e with h']; clear h'
cases' destruct_some_of_destruct_tail_some md with a am
exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩
#align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some
theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) :
∃ a', some a' ∈ head s := by
induction n generalizing a with
| zero => exact ⟨_, h⟩
| succ n IH =>
let ⟨a', h'⟩ := head_some_of_head_tail_some h
exact IH h'
#align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some
instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) :=
⟨fun n => by rw [get?_tail]; infer_instance⟩
#align stream.wseq.productive_tail Stream'.WSeq.productive_tail
instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) :=
⟨fun m => by rw [← get?_add]; infer_instance⟩
#align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn
def toSeq (s : WSeq α) [Productive s] : Seq α :=
⟨fun n => (get? s n).get,
fun {n} h => by
cases e : Computation.get (get? s (n + 1))
· assumption
have := Computation.mem_of_get_eq _ e
simp? [get?] at this h says simp only [get?] at this h
cases' head_some_of_head_tail_some this with a' h'
have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h)
contradiction⟩
#align stream.wseq.to_seq Stream'.WSeq.toSeq
theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) :
Terminates (get? s n) → Terminates (get? s m) := by
induction' h with m' _ IH
exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)]
#align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le
theorem head_terminates_of_get?_terminates {s : WSeq α} {n} :
Terminates (get? s n) → Terminates (head s) :=
get?_terminates_le (Nat.zero_le n)
#align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates
theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) :
Terminates (destruct s) :=
(head_terminates_iff _).1 <| head_terminates_of_get?_terminates T
#align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates
theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s'))
(h2 : ∀ s, C s → C (think s)) : C s := by
apply Seq.mem_rec_on M
intro o s' h; cases' o with b
· apply h2
cases h
· contradiction
· assumption
· apply h1
apply Or.imp_left _ h
intro h
injection h
#align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on
@[simp]
theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by
cases' s with f al
change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f
constructor <;> intro h
· apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left
intro
injections
· apply Stream'.mem_cons_of_mem _ h
#align stream.wseq.mem_think Stream'.WSeq.mem_think
theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} :
some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by
generalize e : destruct s = c; intro h
revert s
apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;>
induction' s using WSeq.recOn with x s s <;>
intro m <;>
have := congr_arg Computation.destruct m <;>
simp at this
· cases' this with i1 i2
rw [i1, i2]
cases' s' with f al
dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons]
have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp
rw [h_a_eq_a']
refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩
· cases' o with e m
· rw [e]
apply Stream'.mem_cons
· exact Stream'.mem_cons_of_mem _ m
· simp [IH this]
#align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem
@[simp]
theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s :=
eq_or_mem_iff_mem <| by simp [ret_mem]
#align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff
theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s :=
(mem_cons_iff _ _).2 (Or.inr h)
#align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem
theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s :=
(mem_cons_iff _ _).2 (Or.inl rfl)
#align stream.wseq.mem_cons Stream'.WSeq.mem_cons
theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by
intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get]
induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;>
simp <;> intro m e <;>
injections
· exact Or.inr m
· exact Or.inr m
· apply IH m
rw [e]
cases tail s
rfl
#align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail
theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s
| 0, h => h
| n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h)
#align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn
theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by
revert s; induction' n with n IH <;> intro s h
· -- Porting note: This line is required to infer metavariables in
-- `Computation.exists_of_mem_map`.
dsimp only [get?, head] at h
rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩
cases' o with o
· injection h2
injection h2 with h'
cases' o with a' s'
exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm)
· have := @IH (tail s)
rw [get?_tail] at this
exact mem_of_mem_tail (this h)
#align stream.wseq.nth_mem Stream'.WSeq.get?_mem
theorem exists_get?_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n, some a ∈ get? s n := by
apply mem_rec_on h
· intro a' s' h
cases' h with h h
· exists 0
simp only [get?, drop, head_cons]
rw [h]
apply ret_mem
· cases' h with n h
exists n + 1
-- porting note (#10745): was `simp [get?]`.
simpa [get?]
· intro s' h
cases' h with n h
exists n
simp only [get?, dropn_think, head_think]
apply think_mem h
#align stream.wseq.exists_nth_of_mem Stream'.WSeq.exists_get?_of_mem
theorem exists_dropn_of_mem {s : WSeq α} {a} (h : a ∈ s) :
∃ n s', some (a, s') ∈ destruct (drop s n) :=
let ⟨n, h⟩ := exists_get?_of_mem h
⟨n, by
rcases (head_terminates_iff _).1 ⟨⟨_, h⟩⟩ with ⟨⟨o, om⟩⟩
have := Computation.mem_unique (Computation.mem_map _ om) h
cases' o with o
· injection this
injection this with i
cases' o with a' s'
dsimp at i
rw [i] at om
exact ⟨_, om⟩⟩
#align stream.wseq.exists_dropn_of_mem Stream'.WSeq.exists_dropn_of_mem
theorem liftRel_dropn_destruct {R : α → β → Prop} {s t} (H : LiftRel R s t) :
∀ n, Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct (drop s n)) (destruct (drop t n))
| 0 => liftRel_destruct H
| n + 1 => by
simp only [LiftRelO, drop, Nat.add_eq, Nat.add_zero, destruct_tail, tail.aux]
apply liftRel_bind
· apply liftRel_dropn_destruct H n
exact fun {a b} o =>
match a, b, o with
| none, none, _ => by
-- Porting note: These 2 theorems should be excluded.
simp [-liftRel_pure_left, -liftRel_pure_right]
| some (a, s), some (b, t), ⟨_, h2⟩ => by simpa [tail.aux] using liftRel_destruct h2
#align stream.wseq.lift_rel_dropn_destruct Stream'.WSeq.liftRel_dropn_destruct
theorem exists_of_liftRel_left {R : α → β → Prop} {s t} (H : LiftRel R s t) {a} (h : a ∈ s) :
∃ b, b ∈ t ∧ R a b := by
let ⟨n, h⟩ := exists_get?_of_mem h
-- Porting note: This line is required to infer metavariables in
-- `Computation.exists_of_mem_map`.
dsimp only [get?, head] at h
let ⟨some (_, s'), sd, rfl⟩ := Computation.exists_of_mem_map h
let ⟨some (b, t'), td, ⟨ab, _⟩⟩ := (liftRel_dropn_destruct H n).left sd
exact ⟨b, get?_mem (Computation.mem_map (Prod.fst.{v, v} <$> ·) td), ab⟩
#align stream.wseq.exists_of_lift_rel_left Stream'.WSeq.exists_of_liftRel_left
theorem exists_of_liftRel_right {R : α → β → Prop} {s t} (H : LiftRel R s t) {b} (h : b ∈ t) :
∃ a, a ∈ s ∧ R a b := by rw [← LiftRel.swap] at H; exact exists_of_liftRel_left H h
#align stream.wseq.exists_of_lift_rel_right Stream'.WSeq.exists_of_liftRel_right
theorem head_terminates_of_mem {s : WSeq α} {a} (h : a ∈ s) : Terminates (head s) :=
let ⟨_, h⟩ := exists_get?_of_mem h
head_terminates_of_get?_terminates ⟨⟨_, h⟩⟩
#align stream.wseq.head_terminates_of_mem Stream'.WSeq.head_terminates_of_mem
theorem of_mem_append {s₁ s₂ : WSeq α} {a : α} : a ∈ append s₁ s₂ → a ∈ s₁ ∨ a ∈ s₂ :=
Seq.of_mem_append
#align stream.wseq.of_mem_append Stream'.WSeq.of_mem_append
theorem mem_append_left {s₁ s₂ : WSeq α} {a : α} : a ∈ s₁ → a ∈ append s₁ s₂ :=
Seq.mem_append_left
#align stream.wseq.mem_append_left Stream'.WSeq.mem_append_left
theorem exists_of_mem_map {f} {b : β} : ∀ {s : WSeq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b
| ⟨g, al⟩, h => by
let ⟨o, om, oe⟩ := Seq.exists_of_mem_map h
cases' o with a
· injection oe
injection oe with h'
exact ⟨a, om, h'⟩
#align stream.wseq.exists_of_mem_map Stream'.WSeq.exists_of_mem_map
@[simp]
theorem liftRel_nil (R : α → β → Prop) : LiftRel R nil nil := by
rw [liftRel_destruct_iff]
-- Porting note: These 2 theorems should be excluded.
simp [-liftRel_pure_left, -liftRel_pure_right]
#align stream.wseq.lift_rel_nil Stream'.WSeq.liftRel_nil
@[simp]
theorem liftRel_cons (R : α → β → Prop) (a b s t) :
LiftRel R (cons a s) (cons b t) ↔ R a b ∧ LiftRel R s t := by
rw [liftRel_destruct_iff]
-- Porting note: These 2 theorems should be excluded.
simp [-liftRel_pure_left, -liftRel_pure_right]
#align stream.wseq.lift_rel_cons Stream'.WSeq.liftRel_cons
@[simp]
theorem liftRel_think_left (R : α → β → Prop) (s t) : LiftRel R (think s) t ↔ LiftRel R s t := by
rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp
#align stream.wseq.lift_rel_think_left Stream'.WSeq.liftRel_think_left
@[simp]
theorem liftRel_think_right (R : α → β → Prop) (s t) : LiftRel R s (think t) ↔ LiftRel R s t := by
rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp
#align stream.wseq.lift_rel_think_right Stream'.WSeq.liftRel_think_right
theorem cons_congr {s t : WSeq α} (a : α) (h : s ~ʷ t) : cons a s ~ʷ cons a t := by
unfold Equiv; simpa using h
#align stream.wseq.cons_congr Stream'.WSeq.cons_congr
theorem think_equiv (s : WSeq α) : think s ~ʷ s := by unfold Equiv; simpa using Equiv.refl _
#align stream.wseq.think_equiv Stream'.WSeq.think_equiv
theorem think_congr {s t : WSeq α} (h : s ~ʷ t) : think s ~ʷ think t := by
unfold Equiv; simpa using h
#align stream.wseq.think_congr Stream'.WSeq.think_congr
theorem head_congr : ∀ {s t : WSeq α}, s ~ʷ t → head s ~ head t := by
suffices ∀ {s t : WSeq α}, s ~ʷ t → ∀ {o}, o ∈ head s → o ∈ head t from fun s t h o =>
⟨this h, this h.symm⟩
intro s t h o ho
rcases @Computation.exists_of_mem_map _ _ _ _ (destruct s) ho with ⟨ds, dsm, dse⟩
rw [← dse]
cases' destruct_congr h with l r
rcases l dsm with ⟨dt, dtm, dst⟩
cases' ds with a <;> cases' dt with b
· apply Computation.mem_map _ dtm
· cases b
cases dst
· cases a
cases dst
· cases' a with a s'
cases' b with b t'
rw [dst.left]
exact @Computation.mem_map _ _ (@Functor.map _ _ (α × WSeq α) _ Prod.fst)
(some (b, t')) (destruct t) dtm
#align stream.wseq.head_congr Stream'.WSeq.head_congr
theorem flatten_equiv {c : Computation (WSeq α)} {s} (h : s ∈ c) : flatten c ~ʷ s := by
apply Computation.memRecOn h
· simp [Equiv.refl]
· intro s'
apply Equiv.trans
simp [think_equiv]
#align stream.wseq.flatten_equiv Stream'.WSeq.flatten_equiv
theorem liftRel_flatten {R : α → β → Prop} {c1 : Computation (WSeq α)} {c2 : Computation (WSeq β)}
(h : c1.LiftRel (LiftRel R) c2) : LiftRel R (flatten c1) (flatten c2) :=
let S s t := ∃ c1 c2, s = flatten c1 ∧ t = flatten c2 ∧ Computation.LiftRel (LiftRel R) c1 c2
⟨S, ⟨c1, c2, rfl, rfl, h⟩, fun {s t} h =>
match s, t, h with
| _, _, ⟨c1, c2, rfl, rfl, h⟩ => by
simp only [destruct_flatten]; apply liftRel_bind _ _ h
intro a b ab; apply Computation.LiftRel.imp _ _ _ (liftRel_destruct ab)
intro a b; apply LiftRelO.imp_right
intro s t h; refine ⟨Computation.pure s, Computation.pure t, ?_, ?_, ?_⟩ <;>
-- Porting note: These 2 theorems should be excluded.
simp [h, -liftRel_pure_left, -liftRel_pure_right]⟩
#align stream.wseq.lift_rel_flatten Stream'.WSeq.liftRel_flatten
theorem flatten_congr {c1 c2 : Computation (WSeq α)} :
Computation.LiftRel Equiv c1 c2 → flatten c1 ~ʷ flatten c2 :=
liftRel_flatten
#align stream.wseq.flatten_congr Stream'.WSeq.flatten_congr
theorem tail_congr {s t : WSeq α} (h : s ~ʷ t) : tail s ~ʷ tail t := by
apply flatten_congr
dsimp only [(· <$> ·)]; rw [← Computation.bind_pure, ← Computation.bind_pure]
apply liftRel_bind _ _ (destruct_congr h)
intro a b h; simp only [comp_apply, liftRel_pure]
cases' a with a <;> cases' b with b
· trivial
· cases h
· cases a
cases h
· cases' a with a s'
cases' b with b t'
exact h.right
#align stream.wseq.tail_congr Stream'.WSeq.tail_congr
theorem dropn_congr {s t : WSeq α} (h : s ~ʷ t) (n) : drop s n ~ʷ drop t n := by
induction n <;> simp [*, tail_congr, drop]
#align stream.wseq.dropn_congr Stream'.WSeq.dropn_congr
theorem get?_congr {s t : WSeq α} (h : s ~ʷ t) (n) : get? s n ~ get? t n :=
head_congr (dropn_congr h _)
#align stream.wseq.nth_congr Stream'.WSeq.get?_congr
theorem mem_congr {s t : WSeq α} (h : s ~ʷ t) (a) : a ∈ s ↔ a ∈ t :=
suffices ∀ {s t : WSeq α}, s ~ʷ t → a ∈ s → a ∈ t from ⟨this h, this h.symm⟩
fun {_ _} h as =>
let ⟨_, hn⟩ := exists_get?_of_mem as
get?_mem ((get?_congr h _ _).1 hn)
#align stream.wseq.mem_congr Stream'.WSeq.mem_congr
theorem productive_congr {s t : WSeq α} (h : s ~ʷ t) : Productive s ↔ Productive t := by
simp only [productive_iff]; exact forall_congr' fun n => terminates_congr <| get?_congr h _
#align stream.wseq.productive_congr Stream'.WSeq.productive_congr
theorem Equiv.ext {s t : WSeq α} (h : ∀ n, get? s n ~ get? t n) : s ~ʷ t :=
⟨fun s t => ∀ n, get? s n ~ get? t n, h, fun {s t} h => by
refine liftRel_def.2 ⟨?_, ?_⟩
· rw [← head_terminates_iff, ← head_terminates_iff]
exact terminates_congr (h 0)
· intro a b ma mb
cases' a with a <;> cases' b with b
· trivial
· injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb))
· injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb))
· cases' a with a s'
cases' b with b t'
injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) with
ab
refine ⟨ab, fun n => ?_⟩
refine
(get?_congr (flatten_equiv (Computation.mem_map _ ma)) n).symm.trans
((?_ : get? (tail s) n ~ get? (tail t) n).trans
(get?_congr (flatten_equiv (Computation.mem_map _ mb)) n))
rw [get?_tail, get?_tail]
apply h⟩
#align stream.wseq.equiv.ext Stream'.WSeq.Equiv.ext
theorem length_eq_map (s : WSeq α) : length s = Computation.map List.length (toList s) := by
refine
Computation.eq_of_bisim
(fun c1 c2 =>
∃ (l : List α) (s : WSeq α),
c1 = Computation.corec (fun ⟨n, s⟩ =>
match Seq.destruct s with
| none => Sum.inl n
| some (none, s') => Sum.inr (n, s')
| some (some _, s') => Sum.inr (n + 1, s')) (l.length, s) ∧
c2 = Computation.map List.length (Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l, s)))
?_ ⟨[], s, rfl, rfl⟩
intro s1 s2 h; rcases h with ⟨l, s, h⟩; rw [h.left, h.right]
induction' s using WSeq.recOn with a s s <;> simp [toList, nil, cons, think, length]
· refine ⟨a::l, s, ?_, ?_⟩ <;> simp
· refine ⟨l, s, ?_, ?_⟩ <;> simp
#align stream.wseq.length_eq_map Stream'.WSeq.length_eq_map
@[simp]
theorem ofList_nil : ofList [] = (nil : WSeq α) :=
rfl
#align stream.wseq.of_list_nil Stream'.WSeq.ofList_nil
@[simp]
theorem ofList_cons (a : α) (l) : ofList (a::l) = cons a (ofList l) :=
show Seq.map some (Seq.ofList (a::l)) = Seq.cons (some a) (Seq.map some (Seq.ofList l)) by simp
#align stream.wseq.of_list_cons Stream'.WSeq.ofList_cons
@[simp]
theorem toList'_nil (l : List α) :
Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l, nil) = Computation.pure l.reverse :=
destruct_eq_pure rfl
#align stream.wseq.to_list'_nil Stream'.WSeq.toList'_nil
@[simp]
theorem toList'_cons (l : List α) (s : WSeq α) (a : α) :
Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l, cons a s) =
(Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (a::l, s)).think :=
destruct_eq_think <| by simp [toList, cons]
#align stream.wseq.to_list'_cons Stream'.WSeq.toList'_cons
@[simp]
theorem toList'_think (l : List α) (s : WSeq α) :
Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l, think s) =
(Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l, s)).think :=
destruct_eq_think <| by simp [toList, think]
#align stream.wseq.to_list'_think Stream'.WSeq.toList'_think
theorem toList'_map (l : List α) (s : WSeq α) :
Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a :: l, s')) (l, s) = (l.reverse ++ ·) <$> toList s := by
refine
Computation.eq_of_bisim
(fun c1 c2 =>
∃ (l' : List α) (s : WSeq α),
c1 = Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l' ++ l, s) ∧
c2 = Computation.map (l.reverse ++ ·) (Computation.corec (fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s')) (l', s)))
?_ ⟨[], s, rfl, rfl⟩
intro s1 s2 h; rcases h with ⟨l', s, h⟩; rw [h.left, h.right]
induction' s using WSeq.recOn with a s s <;> simp [toList, nil, cons, think, length]
· refine ⟨a::l', s, ?_, ?_⟩ <;> simp
· refine ⟨l', s, ?_, ?_⟩ <;> simp
#align stream.wseq.to_list'_map Stream'.WSeq.toList'_map
@[simp]
theorem toList_cons (a : α) (s) : toList (cons a s) = (List.cons a <$> toList s).think :=
destruct_eq_think <| by
unfold toList
simp only [toList'_cons, Computation.destruct_think, Sum.inr.injEq]
rw [toList'_map]
simp only [List.reverse_cons, List.reverse_nil, List.nil_append, List.singleton_append]
rfl
#align stream.wseq.to_list_cons Stream'.WSeq.toList_cons
@[simp]
theorem toList_nil : toList (nil : WSeq α) = Computation.pure [] :=
destruct_eq_pure rfl
#align stream.wseq.to_list_nil Stream'.WSeq.toList_nil
theorem toList_ofList (l : List α) : l ∈ toList (ofList l) := by
induction' l with a l IH <;> simp [ret_mem]; exact think_mem (Computation.mem_map _ IH)
#align stream.wseq.to_list_of_list Stream'.WSeq.toList_ofList
@[simp]
theorem destruct_ofSeq (s : Seq α) :
destruct (ofSeq s) = Computation.pure (s.head.map fun a => (a, ofSeq s.tail)) :=
destruct_eq_pure <| by
simp only [destruct, Seq.destruct, Option.map_eq_map, ofSeq, Computation.corec_eq, rmap,
Seq.head]
rw [show Seq.get? (some <$> s) 0 = some <$> Seq.get? s 0 by apply Seq.map_get?]
cases' Seq.get? s 0 with a
· rfl
dsimp only [(· <$> ·)]
simp [destruct]
#align stream.wseq.destruct_of_seq Stream'.WSeq.destruct_ofSeq
@[simp]
theorem head_ofSeq (s : Seq α) : head (ofSeq s) = Computation.pure s.head := by
simp only [head, Option.map_eq_map, destruct_ofSeq, Computation.map_pure, Option.map_map]
cases Seq.head s <;> rfl
#align stream.wseq.head_of_seq Stream'.WSeq.head_ofSeq
@[simp]
theorem tail_ofSeq (s : Seq α) : tail (ofSeq s) = ofSeq s.tail := by
simp only [tail, destruct_ofSeq, map_pure', flatten_pure]
induction' s using Seq.recOn with x s <;> simp only [ofSeq, Seq.tail_nil, Seq.head_nil,
Option.map_none', Seq.tail_cons, Seq.head_cons, Option.map_some']
· rfl
#align stream.wseq.tail_of_seq Stream'.WSeq.tail_ofSeq
@[simp]
theorem dropn_ofSeq (s : Seq α) : ∀ n, drop (ofSeq s) n = ofSeq (s.drop n)
| 0 => rfl
| n + 1 => by
simp only [drop, Nat.add_eq, Nat.add_zero, Seq.drop]
rw [dropn_ofSeq s n, tail_ofSeq]
#align stream.wseq.dropn_of_seq Stream'.WSeq.dropn_ofSeq
theorem get?_ofSeq (s : Seq α) (n) : get? (ofSeq s) n = Computation.pure (Seq.get? s n) := by
dsimp [get?]; rw [dropn_ofSeq, head_ofSeq, Seq.head_dropn]
#align stream.wseq.nth_of_seq Stream'.WSeq.get?_ofSeq
instance productive_ofSeq (s : Seq α) : Productive (ofSeq s) :=
⟨fun n => by rw [get?_ofSeq]; infer_instance⟩
#align stream.wseq.productive_of_seq Stream'.WSeq.productive_ofSeq
theorem toSeq_ofSeq (s : Seq α) : toSeq (ofSeq s) = s := by
apply Subtype.eq; funext n
dsimp [toSeq]; apply get_eq_of_mem
rw [get?_ofSeq]; apply ret_mem
#align stream.wseq.to_seq_of_seq Stream'.WSeq.toSeq_ofSeq
def ret (a : α) : WSeq α :=
ofList [a]
#align stream.wseq.ret Stream'.WSeq.ret
@[simp]
theorem map_nil (f : α → β) : map f nil = nil :=
rfl
#align stream.wseq.map_nil Stream'.WSeq.map_nil
@[simp]
theorem map_cons (f : α → β) (a s) : map f (cons a s) = cons (f a) (map f s) :=
Seq.map_cons _ _ _
#align stream.wseq.map_cons Stream'.WSeq.map_cons
@[simp]
theorem map_think (f : α → β) (s) : map f (think s) = think (map f s) :=
Seq.map_cons _ _ _
#align stream.wseq.map_think Stream'.WSeq.map_think
@[simp]
theorem map_id (s : WSeq α) : map id s = s := by simp [map]
#align stream.wseq.map_id Stream'.WSeq.map_id
@[simp]
theorem map_ret (f : α → β) (a) : map f (ret a) = ret (f a) := by simp [ret]
#align stream.wseq.map_ret Stream'.WSeq.map_ret
@[simp]
theorem map_append (f : α → β) (s t) : map f (append s t) = append (map f s) (map f t) :=
Seq.map_append _ _ _
#align stream.wseq.map_append Stream'.WSeq.map_append
theorem map_comp (f : α → β) (g : β → γ) (s : WSeq α) : map (g ∘ f) s = map g (map f s) := by
dsimp [map]; rw [← Seq.map_comp]
apply congr_fun; apply congr_arg
ext ⟨⟩ <;> rfl
#align stream.wseq.map_comp Stream'.WSeq.map_comp
theorem mem_map (f : α → β) {a : α} {s : WSeq α} : a ∈ s → f a ∈ map f s :=
Seq.mem_map (Option.map f)
#align stream.wseq.mem_map Stream'.WSeq.mem_map
-- The converse is not true without additional assumptions
theorem exists_of_mem_join {a : α} : ∀ {S : WSeq (WSeq α)}, a ∈ join S → ∃ s, s ∈ S ∧ a ∈ s := by
suffices
∀ ss : WSeq α,
a ∈ ss → ∀ s S, append s (join S) = ss → a ∈ append s (join S) → a ∈ s ∨ ∃ s, s ∈ S ∧ a ∈ s
from fun S h => (this _ h nil S (by simp) (by simp [h])).resolve_left (not_mem_nil _)
intro ss h; apply mem_rec_on h <;> [intro b ss o; intro ss IH] <;> intro s S
· induction' s using WSeq.recOn with b' s s <;>
[induction' S using WSeq.recOn with s S S; skip; skip] <;>
intro ej m <;> simp at ej <;> have := congr_arg Seq.destruct ej <;>
simp at this; cases this
substs b' ss
simp? at m ⊢ says simp only [cons_append, mem_cons_iff] at m ⊢
cases' o with e IH
· simp [e]
cases' m with e m
· simp [e]
exact Or.imp_left Or.inr (IH _ _ rfl m)
· induction' s using WSeq.recOn with b' s s <;>
[induction' S using WSeq.recOn with s S S; skip; skip] <;>
intro ej m <;> simp at ej <;> have := congr_arg Seq.destruct ej <;> simp at this <;>
subst ss
· apply Or.inr
-- Porting note: `exists_eq_or_imp` should be excluded.
simp [-exists_eq_or_imp] at m ⊢
cases' IH s S rfl m with as ex
· exact ⟨s, Or.inl rfl, as⟩
· rcases ex with ⟨s', sS, as⟩
exact ⟨s', Or.inr sS, as⟩
· apply Or.inr
simp? at m says simp only [join_think, nil_append, mem_think] at m
rcases (IH nil S (by simp) (by simp [m])).resolve_left (not_mem_nil _) with ⟨s, sS, as⟩
exact ⟨s, by simp [sS], as⟩
· simp only [think_append, mem_think] at m IH ⊢
apply IH _ _ rfl m
#align stream.wseq.exists_of_mem_join Stream'.WSeq.exists_of_mem_join
theorem exists_of_mem_bind {s : WSeq α} {f : α → WSeq β} {b} (h : b ∈ bind s f) :
∃ a ∈ s, b ∈ f a :=
let ⟨t, tm, bt⟩ := exists_of_mem_join h
let ⟨a, as, e⟩ := exists_of_mem_map tm
⟨a, as, by rwa [e]⟩
#align stream.wseq.exists_of_mem_bind Stream'.WSeq.exists_of_mem_bind
theorem destruct_map (f : α → β) (s : WSeq α) :
destruct (map f s) = Computation.map (Option.map (Prod.map f (map f))) (destruct s) := by
apply
Computation.eq_of_bisim fun c1 c2 =>
∃ s,
c1 = destruct (map f s) ∧
c2 = Computation.map (Option.map (Prod.map f (map f))) (destruct s)
· intro c1 c2 h
cases' h with s h
rw [h.left, h.right]
induction' s using WSeq.recOn with a s s <;> simp
exact ⟨s, rfl, rfl⟩
· exact ⟨s, rfl, rfl⟩
#align stream.wseq.destruct_map Stream'.WSeq.destruct_map
theorem liftRel_map {δ} (R : α → β → Prop) (S : γ → δ → Prop) {s1 : WSeq α} {s2 : WSeq β}
{f1 : α → γ} {f2 : β → δ} (h1 : LiftRel R s1 s2) (h2 : ∀ {a b}, R a b → S (f1 a) (f2 b)) :
LiftRel S (map f1 s1) (map f2 s2) :=
⟨fun s1 s2 => ∃ s t, s1 = map f1 s ∧ s2 = map f2 t ∧ LiftRel R s t, ⟨s1, s2, rfl, rfl, h1⟩,
fun {s1 s2} h =>
match s1, s2, h with
| _, _, ⟨s, t, rfl, rfl, h⟩ => by
simp only [exists_and_left, destruct_map]
apply Computation.liftRel_map _ _ (liftRel_destruct h)
intro o p h
cases' o with a <;> cases' p with b <;> simp
· cases b; cases h
· cases a; cases h
· cases' a with a s; cases' b with b t
cases' h with r h
exact ⟨h2 r, s, rfl, t, rfl, h⟩⟩
#align stream.wseq.lift_rel_map Stream'.WSeq.liftRel_map
theorem map_congr (f : α → β) {s t : WSeq α} (h : s ~ʷ t) : map f s ~ʷ map f t :=
liftRel_map _ _ h fun {_ _} => congr_arg _
#align stream.wseq.map_congr Stream'.WSeq.map_congr
@[simp]
def destruct_append.aux (t : WSeq α) : Option (α × WSeq α) → Computation (Option (α × WSeq α))
| none => destruct t
| some (a, s) => Computation.pure (some (a, append s t))
#align stream.wseq.destruct_append.aux Stream'.WSeq.destruct_append.aux
theorem destruct_append (s t : WSeq α) :
destruct (append s t) = (destruct s).bind (destruct_append.aux t) := by
apply
Computation.eq_of_bisim
(fun c1 c2 =>
∃ s t, c1 = destruct (append s t) ∧ c2 = (destruct s).bind (destruct_append.aux t))
_ ⟨s, t, rfl, rfl⟩
intro c1 c2 h; rcases h with ⟨s, t, h⟩; rw [h.left, h.right]
induction' s using WSeq.recOn with a s s <;> simp
· induction' t using WSeq.recOn with b t t <;> simp
· refine ⟨nil, t, ?_, ?_⟩ <;> simp
· exact ⟨s, t, rfl, rfl⟩
#align stream.wseq.destruct_append Stream'.WSeq.destruct_append
@[simp]
def destruct_join.aux : Option (WSeq α × WSeq (WSeq α)) → Computation (Option (α × WSeq α))
| none => Computation.pure none
| some (s, S) => (destruct (append s (join S))).think
#align stream.wseq.destruct_join.aux Stream'.WSeq.destruct_join.aux
theorem destruct_join (S : WSeq (WSeq α)) :
destruct (join S) = (destruct S).bind destruct_join.aux := by
apply
Computation.eq_of_bisim
(fun c1 c2 =>
c1 = c2 ∨ ∃ S, c1 = destruct (join S) ∧ c2 = (destruct S).bind destruct_join.aux)
_ (Or.inr ⟨S, rfl, rfl⟩)
intro c1 c2 h
exact
match c1, c2, h with
| c, _, Or.inl <| rfl => by cases c.destruct <;> simp
| _, _, Or.inr ⟨S, rfl, rfl⟩ => by
induction' S using WSeq.recOn with s S S <;> simp
· refine Or.inr ⟨S, rfl, rfl⟩
#align stream.wseq.destruct_join Stream'.WSeq.destruct_join
theorem liftRel_append (R : α → β → Prop) {s1 s2 : WSeq α} {t1 t2 : WSeq β} (h1 : LiftRel R s1 t1)
(h2 : LiftRel R s2 t2) : LiftRel R (append s1 s2) (append t1 t2) :=
⟨fun s t => LiftRel R s t ∨ ∃ s1 t1, s = append s1 s2 ∧ t = append t1 t2 ∧ LiftRel R s1 t1,
Or.inr ⟨s1, t1, rfl, rfl, h1⟩, fun {s t} h =>
match s, t, h with
| s, t, Or.inl h => by
apply Computation.LiftRel.imp _ _ _ (liftRel_destruct h)
intro a b; apply LiftRelO.imp_right
intro s t; apply Or.inl
| _, _, Or.inr ⟨s1, t1, rfl, rfl, h⟩ => by
simp only [LiftRelO, exists_and_left, destruct_append, destruct_append.aux]
apply Computation.liftRel_bind _ _ (liftRel_destruct h)
intro o p h
cases' o with a <;> cases' p with b
· simp only [destruct_append.aux]
apply Computation.LiftRel.imp _ _ _ (liftRel_destruct h2)
intro a b
apply LiftRelO.imp_right
intro s t
apply Or.inl
· cases b; cases h
· cases a; cases h
· cases' a with a s; cases' b with b t
cases' h with r h
-- Porting note: These 2 theorems should be excluded.
simpa [-liftRel_pure_left, -liftRel_pure_right] using ⟨r, Or.inr ⟨s, rfl, t, rfl, h⟩⟩⟩
#align stream.wseq.lift_rel_append Stream'.WSeq.liftRel_append
theorem liftRel_join.lem (R : α → β → Prop) {S T} {U : WSeq α → WSeq β → Prop}
(ST : LiftRel (LiftRel R) S T)
(HU :
∀ s1 s2,
(∃ s t S T,
s1 = append s (join S) ∧
s2 = append t (join T) ∧ LiftRel R s t ∧ LiftRel (LiftRel R) S T) →
U s1 s2)
{a} (ma : a ∈ destruct (join S)) : ∃ b, b ∈ destruct (join T) ∧ LiftRelO R U a b := by
cases' exists_results_of_mem ma with n h; clear ma; revert S T ST a
induction' n using Nat.strongInductionOn with n IH
intro S T ST a ra; simp only [destruct_join] at ra
exact
let ⟨o, m, k, rs1, rs2, en⟩ := of_results_bind ra
let ⟨p, mT, rop⟩ := Computation.exists_of_liftRel_left (liftRel_destruct ST) rs1.mem
match o, p, rop, rs1, rs2, mT with
| none, none, _, _, rs2, mT => by
simp only [destruct_join]
exact ⟨none, mem_bind mT (ret_mem _), by rw [eq_of_pure_mem rs2.mem]; trivial⟩
| some (s, S'), some (t, T'), ⟨st, ST'⟩, _, rs2, mT => by
simp? [destruct_append] at rs2 says simp only [destruct_join.aux, destruct_append] at rs2
exact
let ⟨k1, rs3, ek⟩ := of_results_think rs2
let ⟨o', m1, n1, rs4, rs5, ek1⟩ := of_results_bind rs3
let ⟨p', mt, rop'⟩ := Computation.exists_of_liftRel_left (liftRel_destruct st) rs4.mem
match o', p', rop', rs4, rs5, mt with
| none, none, _, _, rs5', mt => by
have : n1 < n := by
rw [en, ek, ek1]
apply lt_of_lt_of_le _ (Nat.le_add_right _ _)
apply Nat.lt_succ_of_le (Nat.le_add_right _ _)
let ⟨ob, mb, rob⟩ := IH _ this ST' rs5'
refine ⟨ob, ?_, rob⟩
· simp (config := { unfoldPartialApp := true }) only [destruct_join, destruct_join.aux]
apply mem_bind mT
simp only [destruct_append, destruct_append.aux]
apply think_mem
apply mem_bind mt
exact mb
| some (a, s'), some (b, t'), ⟨ab, st'⟩, _, rs5, mt => by
simp? at rs5 says simp only [destruct_append.aux] at rs5
refine ⟨some (b, append t' (join T')), ?_, ?_⟩
· simp (config := { unfoldPartialApp := true }) only [destruct_join, destruct_join.aux]
apply mem_bind mT
simp only [destruct_append, destruct_append.aux]
apply think_mem
apply mem_bind mt
apply ret_mem
rw [eq_of_pure_mem rs5.mem]
exact ⟨ab, HU _ _ ⟨s', t', S', T', rfl, rfl, st', ST'⟩⟩
#align stream.wseq.lift_rel_join.lem Stream'.WSeq.liftRel_join.lem
theorem liftRel_join (R : α → β → Prop) {S : WSeq (WSeq α)} {T : WSeq (WSeq β)}
(h : LiftRel (LiftRel R) S T) : LiftRel R (join S) (join T) :=
⟨fun s1 s2 =>
∃ s t S T,
s1 = append s (join S) ∧ s2 = append t (join T) ∧ LiftRel R s t ∧ LiftRel (LiftRel R) S T,
⟨nil, nil, S, T, by simp, by simp, by simp, h⟩, fun {s1 s2} ⟨s, t, S, T, h1, h2, st, ST⟩ => by
rw [h1, h2]; rw [destruct_append, destruct_append]
apply Computation.liftRel_bind _ _ (liftRel_destruct st)
exact fun {o p} h =>
match o, p, h with
| some (a, s), some (b, t), ⟨h1, h2⟩ => by
-- Porting note: These 2 theorems should be excluded.
simpa [-liftRel_pure_left, -liftRel_pure_right] using ⟨h1, s, t, S, rfl, T, rfl, h2, ST⟩
| none, none, _ => by
-- Porting note: `LiftRelO` should be excluded.
dsimp [destruct_append.aux, Computation.LiftRel, -LiftRelO]; constructor
· intro
apply liftRel_join.lem _ ST fun _ _ => id
· intro b mb
rw [← LiftRelO.swap]
apply liftRel_join.lem (swap R)
· rw [← LiftRel.swap R, ← LiftRel.swap]
apply ST
· rw [← LiftRel.swap R, ← LiftRel.swap (LiftRel R)]
exact fun s1 s2 ⟨s, t, S, T, h1, h2, st, ST⟩ => ⟨t, s, T, S, h2, h1, st, ST⟩
· exact mb⟩
#align stream.wseq.lift_rel_join Stream'.WSeq.liftRel_join
theorem join_congr {S T : WSeq (WSeq α)} (h : LiftRel Equiv S T) : join S ~ʷ join T :=
liftRel_join _ h
#align stream.wseq.join_congr Stream'.WSeq.join_congr
theorem liftRel_bind {δ} (R : α → β → Prop) (S : γ → δ → Prop) {s1 : WSeq α} {s2 : WSeq β}
{f1 : α → WSeq γ} {f2 : β → WSeq δ} (h1 : LiftRel R s1 s2)
(h2 : ∀ {a b}, R a b → LiftRel S (f1 a) (f2 b)) : LiftRel S (bind s1 f1) (bind s2 f2) :=
liftRel_join _ (liftRel_map _ _ h1 @h2)
#align stream.wseq.lift_rel_bind Stream'.WSeq.liftRel_bind
theorem bind_congr {s1 s2 : WSeq α} {f1 f2 : α → WSeq β} (h1 : s1 ~ʷ s2) (h2 : ∀ a, f1 a ~ʷ f2 a) :
bind s1 f1 ~ʷ bind s2 f2 :=
liftRel_bind _ _ h1 fun {a b} h => by rw [h]; apply h2
#align stream.wseq.bind_congr Stream'.WSeq.bind_congr
@[simp]
theorem join_ret (s : WSeq α) : join (ret s) ~ʷ s := by simpa [ret] using think_equiv _
#align stream.wseq.join_ret Stream'.WSeq.join_ret
@[simp]
theorem join_map_ret (s : WSeq α) : join (map ret s) ~ʷ s := by
refine ⟨fun s1 s2 => join (map ret s2) = s1, rfl, ?_⟩
intro s' s h; rw [← h]
apply liftRel_rec fun c1 c2 => ∃ s, c1 = destruct (join (map ret s)) ∧ c2 = destruct s
· exact fun {c1 c2} h =>
match c1, c2, h with
| _, _, ⟨s, rfl, rfl⟩ => by
clear h
-- Porting note: `ret` is simplified in `simp` so `ret`s become `fun a => cons a nil` here.
have : ∀ s, ∃ s' : WSeq α,
(map (fun a => cons a nil) s).join.destruct =
(map (fun a => cons a nil) s').join.destruct ∧ destruct s = s'.destruct :=
fun s => ⟨s, rfl, rfl⟩
induction' s using WSeq.recOn with a s s <;>
simp (config := { unfoldPartialApp := true }) [ret, ret_mem, this, Option.exists]
· exact ⟨s, rfl, rfl⟩
#align stream.wseq.join_map_ret Stream'.WSeq.join_map_ret
@[simp]
theorem join_append (S T : WSeq (WSeq α)) : join (append S T) ~ʷ append (join S) (join T) := by
refine
⟨fun s1 s2 =>
∃ s S T, s1 = append s (join (append S T)) ∧ s2 = append s (append (join S) (join T)),
⟨nil, S, T, by simp, by simp⟩, ?_⟩
intro s1 s2 h
apply
liftRel_rec
(fun c1 c2 =>
∃ (s : WSeq α) (S T : _),
c1 = destruct (append s (join (append S T))) ∧
c2 = destruct (append s (append (join S) (join T))))
_ _ _
(let ⟨s, S, T, h1, h2⟩ := h
⟨s, S, T, congr_arg destruct h1, congr_arg destruct h2⟩)
rintro c1 c2 ⟨s, S, T, rfl, rfl⟩
induction' s using WSeq.recOn with a s s <;> simp
· induction' S using WSeq.recOn with s S S <;> simp
· induction' T using WSeq.recOn with s T T <;> simp
· refine ⟨s, nil, T, ?_, ?_⟩ <;> simp
· refine ⟨nil, nil, T, ?_, ?_⟩ <;> simp
· exact ⟨s, S, T, rfl, rfl⟩
· refine ⟨nil, S, T, ?_, ?_⟩ <;> simp
· exact ⟨s, S, T, rfl, rfl⟩
· exact ⟨s, S, T, rfl, rfl⟩
#align stream.wseq.join_append Stream'.WSeq.join_append
@[simp]
theorem bind_ret (f : α → β) (s) : bind s (ret ∘ f) ~ʷ map f s := by
dsimp [bind]
rw [map_comp]
apply join_map_ret
#align stream.wseq.bind_ret Stream'.WSeq.bind_ret
@[simp]
theorem ret_bind (a : α) (f : α → WSeq β) : bind (ret a) f ~ʷ f a := by simp [bind]
#align stream.wseq.ret_bind Stream'.WSeq.ret_bind
@[simp]
theorem map_join (f : α → β) (S) : map f (join S) = join (map (map f) S) := by
apply
Seq.eq_of_bisim fun s1 s2 =>
∃ s S, s1 = append s (map f (join S)) ∧ s2 = append s (join (map (map f) S))
· intro s1 s2 h
exact
match s1, s2, h with
| _, _, ⟨s, S, rfl, rfl⟩ => by
induction' s using WSeq.recOn with a s s <;> simp
· induction' S using WSeq.recOn with s S S <;> simp
· exact ⟨map f s, S, rfl, rfl⟩
· refine ⟨nil, S, ?_, ?_⟩ <;> simp
· exact ⟨_, _, rfl, rfl⟩
· exact ⟨_, _, rfl, rfl⟩
· refine ⟨nil, S, ?_, ?_⟩ <;> simp
#align stream.wseq.map_join Stream'.WSeq.map_join
@[simp]
| Mathlib/Data/Seq/WSeq.lean | 1,770 | 1,800 | theorem join_join (SS : WSeq (WSeq (WSeq α))) : join (join SS) ~ʷ join (map join SS) := by |
refine
⟨fun s1 s2 =>
∃ s S SS,
s1 = append s (join (append S (join SS))) ∧
s2 = append s (append (join S) (join (map join SS))),
⟨nil, nil, SS, by simp, by simp⟩, ?_⟩
intro s1 s2 h
apply
liftRel_rec
(fun c1 c2 =>
∃ s S SS,
c1 = destruct (append s (join (append S (join SS)))) ∧
c2 = destruct (append s (append (join S) (join (map join SS)))))
_ (destruct s1) (destruct s2)
(let ⟨s, S, SS, h1, h2⟩ := h
⟨s, S, SS, by simp [h1], by simp [h2]⟩)
intro c1 c2 h
exact
match c1, c2, h with
| _, _, ⟨s, S, SS, rfl, rfl⟩ => by
clear h
induction' s using WSeq.recOn with a s s <;> simp
· induction' S using WSeq.recOn with s S S <;> simp
· induction' SS using WSeq.recOn with S SS SS <;> simp
· refine ⟨nil, S, SS, ?_, ?_⟩ <;> simp
· refine ⟨nil, nil, SS, ?_, ?_⟩ <;> simp
· exact ⟨s, S, SS, rfl, rfl⟩
· refine ⟨nil, S, SS, ?_, ?_⟩ <;> simp
· exact ⟨s, S, SS, rfl, rfl⟩
· exact ⟨s, S, SS, rfl, rfl⟩
|
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.Setoid.Basic
import Mathlib.Dynamics.FixedPoints.Topology
import Mathlib.Topology.MetricSpace.Lipschitz
#align_import topology.metric_space.contracting from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open NNReal Topology ENNReal Filter Function
variable {α : Type*}
def ContractingWith [EMetricSpace α] (K : ℝ≥0) (f : α → α) :=
K < 1 ∧ LipschitzWith K f
#align contracting_with ContractingWith
namespace ContractingWith
variable [EMetricSpace α] [cs : CompleteSpace α] {K : ℝ≥0} {f : α → α}
open EMetric Set
theorem toLipschitzWith (hf : ContractingWith K f) : LipschitzWith K f := hf.2
#align contracting_with.to_lipschitz_with ContractingWith.toLipschitzWith
theorem one_sub_K_pos' (hf : ContractingWith K f) : (0 : ℝ≥0∞) < 1 - K := by simp [hf.1]
set_option linter.uppercaseLean3 false in
#align contracting_with.one_sub_K_pos' ContractingWith.one_sub_K_pos'
theorem one_sub_K_ne_zero (hf : ContractingWith K f) : (1 : ℝ≥0∞) - K ≠ 0 :=
ne_of_gt hf.one_sub_K_pos'
set_option linter.uppercaseLean3 false in
#align contracting_with.one_sub_K_ne_zero ContractingWith.one_sub_K_ne_zero
theorem one_sub_K_ne_top : (1 : ℝ≥0∞) - K ≠ ∞ := by
norm_cast
exact ENNReal.coe_ne_top
set_option linter.uppercaseLean3 false in
#align contracting_with.one_sub_K_ne_top ContractingWith.one_sub_K_ne_top
theorem edist_inequality (hf : ContractingWith K f) {x y} (h : edist x y ≠ ∞) :
edist x y ≤ (edist x (f x) + edist y (f y)) / (1 - K) :=
suffices edist x y ≤ edist x (f x) + edist y (f y) + K * edist x y by
rwa [ENNReal.le_div_iff_mul_le (Or.inl hf.one_sub_K_ne_zero) (Or.inl one_sub_K_ne_top),
mul_comm, ENNReal.sub_mul fun _ _ ↦ h, one_mul, tsub_le_iff_right]
calc
edist x y ≤ edist x (f x) + edist (f x) (f y) + edist (f y) y := edist_triangle4 _ _ _ _
_ = edist x (f x) + edist y (f y) + edist (f x) (f y) := by rw [edist_comm y, add_right_comm]
_ ≤ edist x (f x) + edist y (f y) + K * edist x y := add_le_add le_rfl (hf.2 _ _)
#align contracting_with.edist_inequality ContractingWith.edist_inequality
theorem edist_le_of_fixedPoint (hf : ContractingWith K f) {x y} (h : edist x y ≠ ∞)
(hy : IsFixedPt f y) : edist x y ≤ edist x (f x) / (1 - K) := by
simpa only [hy.eq, edist_self, add_zero] using hf.edist_inequality h
#align contracting_with.edist_le_of_fixed_point ContractingWith.edist_le_of_fixedPoint
theorem eq_or_edist_eq_top_of_fixedPoints (hf : ContractingWith K f) {x y} (hx : IsFixedPt f x)
(hy : IsFixedPt f y) : x = y ∨ edist x y = ∞ := by
refine or_iff_not_imp_right.2 fun h ↦ edist_le_zero.1 ?_
simpa only [hx.eq, edist_self, add_zero, ENNReal.zero_div] using hf.edist_le_of_fixedPoint h hy
#align contracting_with.eq_or_edist_eq_top_of_fixed_points ContractingWith.eq_or_edist_eq_top_of_fixedPoints
theorem restrict (hf : ContractingWith K f) {s : Set α} (hs : MapsTo f s s) :
ContractingWith K (hs.restrict f s s) :=
⟨hf.1, fun x y ↦ hf.2 x y⟩
#align contracting_with.restrict ContractingWith.restrict
theorem exists_fixedPoint (hf : ContractingWith K f) (x : α) (hx : edist x (f x) ≠ ∞) :
∃ y, IsFixedPt f y ∧ Tendsto (fun n ↦ f^[n] x) atTop (𝓝 y) ∧
∀ n : ℕ, edist (f^[n] x) y ≤ edist x (f x) * (K : ℝ≥0∞) ^ n / (1 - K) :=
have : CauchySeq fun n ↦ f^[n] x :=
cauchySeq_of_edist_le_geometric K (edist x (f x)) (ENNReal.coe_lt_one_iff.2 hf.1) hx
(hf.toLipschitzWith.edist_iterate_succ_le_geometric x)
let ⟨y, hy⟩ := cauchySeq_tendsto_of_complete this
⟨y, isFixedPt_of_tendsto_iterate hy hf.2.continuous.continuousAt, hy,
edist_le_of_edist_le_geometric_of_tendsto K (edist x (f x))
(hf.toLipschitzWith.edist_iterate_succ_le_geometric x) hy⟩
#align contracting_with.exists_fixed_point ContractingWith.exists_fixedPoint
variable (f)
-- avoid `efixedPoint _` in pretty printer
noncomputable def efixedPoint (hf : ContractingWith K f) (x : α) (hx : edist x (f x) ≠ ∞) : α :=
Classical.choose <| hf.exists_fixedPoint x hx
#align contracting_with.efixed_point ContractingWith.efixedPoint
variable {f}
theorem efixedPoint_isFixedPt (hf : ContractingWith K f) {x : α} (hx : edist x (f x) ≠ ∞) :
IsFixedPt f (efixedPoint f hf x hx) :=
(Classical.choose_spec <| hf.exists_fixedPoint x hx).1
#align contracting_with.efixed_point_is_fixed_pt ContractingWith.efixedPoint_isFixedPt
theorem tendsto_iterate_efixedPoint (hf : ContractingWith K f) {x : α} (hx : edist x (f x) ≠ ∞) :
Tendsto (fun n ↦ f^[n] x) atTop (𝓝 <| efixedPoint f hf x hx) :=
(Classical.choose_spec <| hf.exists_fixedPoint x hx).2.1
#align contracting_with.tendsto_iterate_efixed_point ContractingWith.tendsto_iterate_efixedPoint
theorem apriori_edist_iterate_efixedPoint_le (hf : ContractingWith K f) {x : α}
(hx : edist x (f x) ≠ ∞) (n : ℕ) :
edist (f^[n] x) (efixedPoint f hf x hx) ≤ edist x (f x) * (K : ℝ≥0∞) ^ n / (1 - K) :=
(Classical.choose_spec <| hf.exists_fixedPoint x hx).2.2 n
#align contracting_with.apriori_edist_iterate_efixed_point_le ContractingWith.apriori_edist_iterate_efixedPoint_le
theorem edist_efixedPoint_le (hf : ContractingWith K f) {x : α} (hx : edist x (f x) ≠ ∞) :
edist x (efixedPoint f hf x hx) ≤ edist x (f x) / (1 - K) := by
convert hf.apriori_edist_iterate_efixedPoint_le hx 0
simp only [pow_zero, mul_one]
#align contracting_with.edist_efixed_point_le ContractingWith.edist_efixedPoint_le
theorem edist_efixedPoint_lt_top (hf : ContractingWith K f) {x : α} (hx : edist x (f x) ≠ ∞) :
edist x (efixedPoint f hf x hx) < ∞ :=
(hf.edist_efixedPoint_le hx).trans_lt
(ENNReal.mul_lt_top hx <| ENNReal.inv_ne_top.2 hf.one_sub_K_ne_zero)
#align contracting_with.edist_efixed_point_lt_top ContractingWith.edist_efixedPoint_lt_top
| Mathlib/Topology/MetricSpace/Contracting.lean | 155 | 165 | theorem efixedPoint_eq_of_edist_lt_top (hf : ContractingWith K f) {x : α} (hx : edist x (f x) ≠ ∞)
{y : α} (hy : edist y (f y) ≠ ∞) (h : edist x y ≠ ∞) :
efixedPoint f hf x hx = efixedPoint f hf y hy := by |
refine (hf.eq_or_edist_eq_top_of_fixedPoints ?_ ?_).elim id fun h' ↦ False.elim (ne_of_lt ?_ h')
<;> try apply efixedPoint_isFixedPt
change edistLtTopSetoid.Rel _ _
trans x
· apply Setoid.symm' -- Porting note: Originally `symm`
exact hf.edist_efixedPoint_lt_top hx
trans y
exacts [lt_top_iff_ne_top.2 h, hf.edist_efixedPoint_lt_top hy]
|
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Constructions.Prod.Integral
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.MeasureTheory.Integral.IntervalIntegral
#align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ContinuousLinearMap Metric Bornology
open scoped Pointwise Topology NNReal Filter
universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP
variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF}
{F' : Type uF'} {F'' : Type uF''} {P : Type uP}
variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E'']
[NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E}
namespace MeasureTheory
section NontriviallyNormedField
variable [NontriviallyNormedField 𝕜]
variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F]
variable (L : E →L[𝕜] E' →L[𝕜] F)
section Measurability
variable [MeasurableSpace G] {μ ν : Measure G}
def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
Integrable (fun t => L (f t) (g (x - t))) μ
#align convolution_exists_at MeasureTheory.ConvolutionExistsAt
def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
∀ x : G, ConvolutionExistsAt f g x L μ
#align convolution_exists MeasureTheory.ConvolutionExists
section ConvolutionExists
variable {L} in
theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f t) (g (x - t))) μ :=
h
#align convolution_exists_at.integrable MeasureTheory.ConvolutionExistsAt.integrable
section Group
variable [AddGroup G]
theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G]
[MeasurableNeg G] [SigmaFinite ν] (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub
#align measure_theory.ae_strongly_measurable.convolution_integrand' MeasureTheory.AEStronglyMeasurable.convolution_integrand'
section
variable [MeasurableAdd G] [MeasurableNeg G]
theorem AEStronglyMeasurable.convolution_integrand_snd'
(hf : AEStronglyMeasurable f μ) {x : G}
(hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x
#align measure_theory.ae_strongly_measurable.convolution_integrand_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_snd'
theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G}
(hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg
#align measure_theory.ae_strongly_measurable.convolution_integrand_swap_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_swap_snd'
theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) :
ConvolutionExistsAt f g x₀ L μ := by
rw [ConvolutionExistsAt]
rw [← integrableOn_iff_integrable_of_support_subset h2s]
set s' := (fun t => -t + x₀) ⁻¹' s
have : ∀ᵐ t : G ∂μ.restrict s,
‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by
filter_upwards
refine le_indicator (fun t ht => ?_) fun t ht => ?_
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
refine (le_ciSup_set hbg <| mem_preimage.mpr ?_)
rwa [neg_sub, sub_add_cancel]
· have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht
rw [nmem_support.mp this, norm_zero]
refine Integrable.mono' ?_ ?_ this
· rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn
· exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg
#align bdd_above.convolution_exists_at' BddAbove.convolutionExistsAt'
theorem ConvolutionExistsAt.ofNorm' {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) μ) :
ConvolutionExistsAt f g x₀ L μ := by
refine (h.const_mul ‖L‖).mono'
(hmf.convolution_integrand_snd' L hmg) (eventually_of_forall fun x => ?_)
rw [mul_apply', ← mul_assoc]
apply L.le_opNorm₂
#align convolution_exists_at.of_norm' MeasureTheory.ConvolutionExistsAt.ofNorm'
end
section CommGroup
variable [AddCommGroup G]
variable [NormedSpace ℝ F]
noncomputable def convolution [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : G → F := fun x =>
∫ t, L (f t) (g (x - t)) ∂μ
#align convolution MeasureTheory.convolution
scoped[Convolution] notation:67 f " ⋆[" L:67 ", " μ:67 "] " g:66 => convolution f g L μ
scoped[Convolution]
notation:67 f " ⋆[" L:67 "]" g:66 => convolution f g L MeasureSpace.volume
scoped[Convolution]
notation:67 f " ⋆ " g:66 =>
convolution f g (ContinuousLinearMap.lsmul ℝ ℝ) MeasureSpace.volume
open scoped Convolution
theorem convolution_def [Sub G] : (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ :=
rfl
#align convolution_def MeasureTheory.convolution_def
theorem convolution_lsmul [Sub G] {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f t • g (x - t) ∂μ :=
rfl
#align convolution_lsmul MeasureTheory.convolution_lsmul
theorem convolution_mul [Sub G] [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f t * g (x - t) ∂μ :=
rfl
#align convolution_mul MeasureTheory.convolution_mul
section Group
variable {L} [AddGroup G]
theorem smul_convolution [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : y • f ⋆[L, μ] g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, L.map_smul₂]
#align smul_convolution MeasureTheory.smul_convolution
| Mathlib/Analysis/Convolution.lean | 478 | 479 | theorem convolution_smul [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : f ⋆[L, μ] y • g = y • (f ⋆[L, μ] g) := by |
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, (L _).map_smul]
|
import Mathlib.Algebra.Order.Ring.Nat
#align_import data.nat.dist from "leanprover-community/mathlib"@"d50b12ae8e2bd910d08a94823976adae9825718b"
namespace Nat
def dist (n m : ℕ) :=
n - m + (m - n)
#align nat.dist Nat.dist
-- Should be aligned to `Nat.dist.eq_def`, but that is generated on demand and isn't present yet.
#noalign nat.dist.def
theorem dist_comm (n m : ℕ) : dist n m = dist m n := by simp [dist, add_comm]
#align nat.dist_comm Nat.dist_comm
@[simp]
theorem dist_self (n : ℕ) : dist n n = 0 := by simp [dist, tsub_self]
#align nat.dist_self Nat.dist_self
theorem eq_of_dist_eq_zero {n m : ℕ} (h : dist n m = 0) : n = m :=
have : n - m = 0 := Nat.eq_zero_of_add_eq_zero_right h
have : n ≤ m := tsub_eq_zero_iff_le.mp this
have : m - n = 0 := Nat.eq_zero_of_add_eq_zero_left h
have : m ≤ n := tsub_eq_zero_iff_le.mp this
le_antisymm ‹n ≤ m› ‹m ≤ n›
#align nat.eq_of_dist_eq_zero Nat.eq_of_dist_eq_zero
theorem dist_eq_zero {n m : ℕ} (h : n = m) : dist n m = 0 := by rw [h, dist_self]
#align nat.dist_eq_zero Nat.dist_eq_zero
theorem dist_eq_sub_of_le {n m : ℕ} (h : n ≤ m) : dist n m = m - n := by
rw [dist, tsub_eq_zero_iff_le.mpr h, zero_add]
#align nat.dist_eq_sub_of_le Nat.dist_eq_sub_of_le
theorem dist_eq_sub_of_le_right {n m : ℕ} (h : m ≤ n) : dist n m = n - m := by
rw [dist_comm]; apply dist_eq_sub_of_le h
#align nat.dist_eq_sub_of_le_right Nat.dist_eq_sub_of_le_right
theorem dist_tri_left (n m : ℕ) : m ≤ dist n m + n :=
le_trans le_tsub_add (add_le_add_right (Nat.le_add_left _ _) _)
#align nat.dist_tri_left Nat.dist_tri_left
| Mathlib/Data/Nat/Dist.lean | 57 | 57 | theorem dist_tri_right (n m : ℕ) : m ≤ n + dist n m := by | rw [add_comm]; apply dist_tri_left
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
#align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
open Real
noncomputable section
namespace Real
-- Porting note: can't derive `NormedAddCommGroup, Inhabited`
def Angle : Type :=
AddCircle (2 * π)
#align real.angle Real.Angle
namespace Angle
-- Porting note (#10754): added due to missing instances due to no deriving
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
-- also, without this, a plain `QuotientAddGroup.mk`
-- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)`
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
#align real.angle.continuous_coe Real.Angle.continuous_coe
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
#align real.angle.coe_hom Real.Angle.coeHom
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
#align real.angle.coe_coe_hom Real.Angle.coe_coeHom
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
#align real.angle.induction_on Real.Angle.induction_on
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
#align real.angle.coe_zero Real.Angle.coe_zero
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
#align real.angle.coe_add Real.Angle.coe_add
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
#align real.angle.coe_neg Real.Angle.coe_neg
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
#align real.angle.coe_sub Real.Angle.coe_sub
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
#align real.angle.coe_nsmul Real.Angle.coe_nsmul
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
#align real.angle.coe_zsmul Real.Angle.coe_zsmul
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
#align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
#align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul
@[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul
@[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
-- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
#align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
#align real.angle.coe_two_pi Real.Angle.coe_two_pi
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
#align real.angle.neg_coe_pi Real.Angle.neg_coe_pi
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
#align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
#align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
#align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
#align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two
theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by
rw [sub_eq_add_neg, neg_coe_pi]
#align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi
@[simp]
theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul]
#align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi
@[simp]
theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul]
#align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi
@[simp]
theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi]
#align real.angle.coe_pi_add_coe_pi Real.Angle.coe_pi_add_coe_pi
theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) :
z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) :=
QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz
#align real.angle.zsmul_eq_iff Real.Angle.zsmul_eq_iff
theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) :
n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) :=
QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz
#align real.angle.nsmul_eq_iff Real.Angle.nsmul_eq_iff
theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
-- Porting note: no `Int.natAbs_bit0` anymore
have : Int.natAbs 2 = 2 := rfl
rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero,
Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two,
mul_div_cancel_left₀ (_ : ℝ) two_ne_zero]
#align real.angle.two_zsmul_eq_iff Real.Angle.two_zsmul_eq_iff
theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
simp_rw [← natCast_zsmul, Nat.cast_ofNat, two_zsmul_eq_iff]
#align real.angle.two_nsmul_eq_iff Real.Angle.two_nsmul_eq_iff
theorem two_nsmul_eq_zero_iff {θ : Angle} : (2 : ℕ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
convert two_nsmul_eq_iff <;> simp
#align real.angle.two_nsmul_eq_zero_iff Real.Angle.two_nsmul_eq_zero_iff
theorem two_nsmul_ne_zero_iff {θ : Angle} : (2 : ℕ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← two_nsmul_eq_zero_iff]
#align real.angle.two_nsmul_ne_zero_iff Real.Angle.two_nsmul_ne_zero_iff
theorem two_zsmul_eq_zero_iff {θ : Angle} : (2 : ℤ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
simp_rw [two_zsmul, ← two_nsmul, two_nsmul_eq_zero_iff]
#align real.angle.two_zsmul_eq_zero_iff Real.Angle.two_zsmul_eq_zero_iff
theorem two_zsmul_ne_zero_iff {θ : Angle} : (2 : ℤ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← two_zsmul_eq_zero_iff]
#align real.angle.two_zsmul_ne_zero_iff Real.Angle.two_zsmul_ne_zero_iff
theorem eq_neg_self_iff {θ : Angle} : θ = -θ ↔ θ = 0 ∨ θ = π := by
rw [← add_eq_zero_iff_eq_neg, ← two_nsmul, two_nsmul_eq_zero_iff]
#align real.angle.eq_neg_self_iff Real.Angle.eq_neg_self_iff
theorem ne_neg_self_iff {θ : Angle} : θ ≠ -θ ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← eq_neg_self_iff.not]
#align real.angle.ne_neg_self_iff Real.Angle.ne_neg_self_iff
theorem neg_eq_self_iff {θ : Angle} : -θ = θ ↔ θ = 0 ∨ θ = π := by rw [eq_comm, eq_neg_self_iff]
#align real.angle.neg_eq_self_iff Real.Angle.neg_eq_self_iff
theorem neg_ne_self_iff {θ : Angle} : -θ ≠ θ ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← neg_eq_self_iff.not]
#align real.angle.neg_ne_self_iff Real.Angle.neg_ne_self_iff
theorem two_nsmul_eq_pi_iff {θ : Angle} : (2 : ℕ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
have h : (π : Angle) = ((2 : ℕ) • (π / 2 : ℝ) :) := by rw [two_nsmul, add_halves]
nth_rw 1 [h]
rw [coe_nsmul, two_nsmul_eq_iff]
-- Porting note: `congr` didn't simplify the goal of iff of `Or`s
convert Iff.rfl
rw [add_comm, ← coe_add, ← sub_eq_zero, ← coe_sub, neg_div, ← neg_sub, sub_neg_eq_add, add_assoc,
add_halves, ← two_mul, coe_neg, coe_two_pi, neg_zero]
#align real.angle.two_nsmul_eq_pi_iff Real.Angle.two_nsmul_eq_pi_iff
theorem two_zsmul_eq_pi_iff {θ : Angle} : (2 : ℤ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
rw [two_zsmul, ← two_nsmul, two_nsmul_eq_pi_iff]
#align real.angle.two_zsmul_eq_pi_iff Real.Angle.two_zsmul_eq_pi_iff
theorem cos_eq_iff_coe_eq_or_eq_neg {θ ψ : ℝ} :
cos θ = cos ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) = -ψ := by
constructor
· intro Hcos
rw [← sub_eq_zero, cos_sub_cos, mul_eq_zero, mul_eq_zero, neg_eq_zero,
eq_false (two_ne_zero' ℝ), false_or_iff, sin_eq_zero_iff, sin_eq_zero_iff] at Hcos
rcases Hcos with (⟨n, hn⟩ | ⟨n, hn⟩)
· right
rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), ← sub_eq_iff_eq_add] at hn
rw [← hn, coe_sub, eq_neg_iff_add_eq_zero, sub_add_cancel, mul_assoc, intCast_mul_eq_zsmul,
mul_comm, coe_two_pi, zsmul_zero]
· left
rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), eq_sub_iff_add_eq] at hn
rw [← hn, coe_add, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero,
zero_add]
· rw [angle_eq_iff_two_pi_dvd_sub, ← coe_neg, angle_eq_iff_two_pi_dvd_sub]
rintro (⟨k, H⟩ | ⟨k, H⟩)
· rw [← sub_eq_zero, cos_sub_cos, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ),
mul_comm π _, sin_int_mul_pi, mul_zero]
rw [← sub_eq_zero, cos_sub_cos, ← sub_neg_eq_add, H, mul_assoc 2 π k,
mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero,
zero_mul]
#align real.angle.cos_eq_iff_coe_eq_or_eq_neg Real.Angle.cos_eq_iff_coe_eq_or_eq_neg
theorem sin_eq_iff_coe_eq_or_add_eq_pi {θ ψ : ℝ} :
sin θ = sin ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) + ψ = π := by
constructor
· intro Hsin
rw [← cos_pi_div_two_sub, ← cos_pi_div_two_sub] at Hsin
cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hsin with h h
· left
rw [coe_sub, coe_sub] at h
exact sub_right_inj.1 h
right
rw [coe_sub, coe_sub, eq_neg_iff_add_eq_zero, add_sub, sub_add_eq_add_sub, ← coe_add,
add_halves, sub_sub, sub_eq_zero] at h
exact h.symm
· rw [angle_eq_iff_two_pi_dvd_sub, ← eq_sub_iff_add_eq, ← coe_sub, angle_eq_iff_two_pi_dvd_sub]
rintro (⟨k, H⟩ | ⟨k, H⟩)
· rw [← sub_eq_zero, sin_sub_sin, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ),
mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul]
have H' : θ + ψ = 2 * k * π + π := by
rwa [← sub_add, sub_add_eq_add_sub, sub_eq_iff_eq_add, mul_assoc, mul_comm π _, ←
mul_assoc] at H
rw [← sub_eq_zero, sin_sub_sin, H', add_div, mul_assoc 2 _ π,
mul_div_cancel_left₀ _ (two_ne_zero' ℝ), cos_add_pi_div_two, sin_int_mul_pi, neg_zero,
mul_zero]
#align real.angle.sin_eq_iff_coe_eq_or_add_eq_pi Real.Angle.sin_eq_iff_coe_eq_or_add_eq_pi
theorem cos_sin_inj {θ ψ : ℝ} (Hcos : cos θ = cos ψ) (Hsin : sin θ = sin ψ) : (θ : Angle) = ψ := by
cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hcos with hc hc; · exact hc
cases' sin_eq_iff_coe_eq_or_add_eq_pi.mp Hsin with hs hs; · exact hs
rw [eq_neg_iff_add_eq_zero, hs] at hc
obtain ⟨n, hn⟩ : ∃ n, n • _ = _ := QuotientAddGroup.leftRel_apply.mp (Quotient.exact' hc)
rw [← neg_one_mul, add_zero, ← sub_eq_zero, zsmul_eq_mul, ← mul_assoc, ← sub_mul, mul_eq_zero,
eq_false (ne_of_gt pi_pos), or_false_iff, sub_neg_eq_add, ← Int.cast_zero, ← Int.cast_one,
← Int.cast_ofNat, ← Int.cast_mul, ← Int.cast_add, Int.cast_inj] at hn
have : (n * 2 + 1) % (2 : ℤ) = 0 % (2 : ℤ) := congr_arg (· % (2 : ℤ)) hn
rw [add_comm, Int.add_mul_emod_self] at this
exact absurd this one_ne_zero
#align real.angle.cos_sin_inj Real.Angle.cos_sin_inj
def sin (θ : Angle) : ℝ :=
sin_periodic.lift θ
#align real.angle.sin Real.Angle.sin
@[simp]
theorem sin_coe (x : ℝ) : sin (x : Angle) = Real.sin x :=
rfl
#align real.angle.sin_coe Real.Angle.sin_coe
@[continuity]
theorem continuous_sin : Continuous sin :=
Real.continuous_sin.quotient_liftOn' _
#align real.angle.continuous_sin Real.Angle.continuous_sin
def cos (θ : Angle) : ℝ :=
cos_periodic.lift θ
#align real.angle.cos Real.Angle.cos
@[simp]
theorem cos_coe (x : ℝ) : cos (x : Angle) = Real.cos x :=
rfl
#align real.angle.cos_coe Real.Angle.cos_coe
@[continuity]
theorem continuous_cos : Continuous cos :=
Real.continuous_cos.quotient_liftOn' _
#align real.angle.continuous_cos Real.Angle.continuous_cos
theorem cos_eq_real_cos_iff_eq_or_eq_neg {θ : Angle} {ψ : ℝ} :
cos θ = Real.cos ψ ↔ θ = ψ ∨ θ = -ψ := by
induction θ using Real.Angle.induction_on
exact cos_eq_iff_coe_eq_or_eq_neg
#align real.angle.cos_eq_real_cos_iff_eq_or_eq_neg Real.Angle.cos_eq_real_cos_iff_eq_or_eq_neg
theorem cos_eq_iff_eq_or_eq_neg {θ ψ : Angle} : cos θ = cos ψ ↔ θ = ψ ∨ θ = -ψ := by
induction ψ using Real.Angle.induction_on
exact cos_eq_real_cos_iff_eq_or_eq_neg
#align real.angle.cos_eq_iff_eq_or_eq_neg Real.Angle.cos_eq_iff_eq_or_eq_neg
theorem sin_eq_real_sin_iff_eq_or_add_eq_pi {θ : Angle} {ψ : ℝ} :
sin θ = Real.sin ψ ↔ θ = ψ ∨ θ + ψ = π := by
induction θ using Real.Angle.induction_on
exact sin_eq_iff_coe_eq_or_add_eq_pi
#align real.angle.sin_eq_real_sin_iff_eq_or_add_eq_pi Real.Angle.sin_eq_real_sin_iff_eq_or_add_eq_pi
theorem sin_eq_iff_eq_or_add_eq_pi {θ ψ : Angle} : sin θ = sin ψ ↔ θ = ψ ∨ θ + ψ = π := by
induction ψ using Real.Angle.induction_on
exact sin_eq_real_sin_iff_eq_or_add_eq_pi
#align real.angle.sin_eq_iff_eq_or_add_eq_pi Real.Angle.sin_eq_iff_eq_or_add_eq_pi
@[simp]
theorem sin_zero : sin (0 : Angle) = 0 := by rw [← coe_zero, sin_coe, Real.sin_zero]
#align real.angle.sin_zero Real.Angle.sin_zero
-- Porting note (#10618): @[simp] can prove it
theorem sin_coe_pi : sin (π : Angle) = 0 := by rw [sin_coe, Real.sin_pi]
#align real.angle.sin_coe_pi Real.Angle.sin_coe_pi
theorem sin_eq_zero_iff {θ : Angle} : sin θ = 0 ↔ θ = 0 ∨ θ = π := by
nth_rw 1 [← sin_zero]
rw [sin_eq_iff_eq_or_add_eq_pi]
simp
#align real.angle.sin_eq_zero_iff Real.Angle.sin_eq_zero_iff
theorem sin_ne_zero_iff {θ : Angle} : sin θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← sin_eq_zero_iff]
#align real.angle.sin_ne_zero_iff Real.Angle.sin_ne_zero_iff
@[simp]
theorem sin_neg (θ : Angle) : sin (-θ) = -sin θ := by
induction θ using Real.Angle.induction_on
exact Real.sin_neg _
#align real.angle.sin_neg Real.Angle.sin_neg
theorem sin_antiperiodic : Function.Antiperiodic sin (π : Angle) := by
intro θ
induction θ using Real.Angle.induction_on
exact Real.sin_antiperiodic _
#align real.angle.sin_antiperiodic Real.Angle.sin_antiperiodic
@[simp]
theorem sin_add_pi (θ : Angle) : sin (θ + π) = -sin θ :=
sin_antiperiodic θ
#align real.angle.sin_add_pi Real.Angle.sin_add_pi
@[simp]
theorem sin_sub_pi (θ : Angle) : sin (θ - π) = -sin θ :=
sin_antiperiodic.sub_eq θ
#align real.angle.sin_sub_pi Real.Angle.sin_sub_pi
@[simp]
theorem cos_zero : cos (0 : Angle) = 1 := by rw [← coe_zero, cos_coe, Real.cos_zero]
#align real.angle.cos_zero Real.Angle.cos_zero
-- Porting note (#10618): @[simp] can prove it
theorem cos_coe_pi : cos (π : Angle) = -1 := by rw [cos_coe, Real.cos_pi]
#align real.angle.cos_coe_pi Real.Angle.cos_coe_pi
@[simp]
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 406 | 408 | theorem cos_neg (θ : Angle) : cos (-θ) = cos θ := by |
induction θ using Real.Angle.induction_on
exact Real.cos_neg _
|
import Mathlib.MeasureTheory.Group.Action
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Group.Pointwise
#align_import measure_theory.group.fundamental_domain from "leanprover-community/mathlib"@"3b52265189f3fb43aa631edffce5d060fafaf82f"
open scoped ENNReal Pointwise Topology NNReal ENNReal MeasureTheory
open MeasureTheory MeasureTheory.Measure Set Function TopologicalSpace Filter
namespace MeasureTheory
structure IsAddFundamentalDomain (G : Type*) {α : Type*} [Zero G] [VAdd G α] [MeasurableSpace α]
(s : Set α) (μ : Measure α := by volume_tac) : Prop where
protected nullMeasurableSet : NullMeasurableSet s μ
protected ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g +ᵥ x ∈ s
protected aedisjoint : Pairwise <| (AEDisjoint μ on fun g : G => g +ᵥ s)
#align measure_theory.is_add_fundamental_domain MeasureTheory.IsAddFundamentalDomain
@[to_additive IsAddFundamentalDomain]
structure IsFundamentalDomain (G : Type*) {α : Type*} [One G] [SMul G α] [MeasurableSpace α]
(s : Set α) (μ : Measure α := by volume_tac) : Prop where
protected nullMeasurableSet : NullMeasurableSet s μ
protected ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g • x ∈ s
protected aedisjoint : Pairwise <| (AEDisjoint μ on fun g : G => g • s)
#align measure_theory.is_fundamental_domain MeasureTheory.IsFundamentalDomain
variable {G H α β E : Type*}
namespace IsFundamentalDomain
variable [Group G] [Group H] [MulAction G α] [MeasurableSpace α] [MulAction H β] [MeasurableSpace β]
[NormedAddCommGroup E] {s t : Set α} {μ : Measure α}
@[to_additive "If for each `x : α`, exactly one of `g +ᵥ x`, `g : G`, belongs to a measurable set
`s`, then `s` is a fundamental domain for the additive action of `G` on `α`."]
theorem mk' (h_meas : NullMeasurableSet s μ) (h_exists : ∀ x : α, ∃! g : G, g • x ∈ s) :
IsFundamentalDomain G s μ where
nullMeasurableSet := h_meas
ae_covers := eventually_of_forall fun x => (h_exists x).exists
aedisjoint a b hab := Disjoint.aedisjoint <| disjoint_left.2 fun x hxa hxb => by
rw [mem_smul_set_iff_inv_smul_mem] at hxa hxb
exact hab (inv_injective <| (h_exists x).unique hxa hxb)
#align measure_theory.is_fundamental_domain.mk' MeasureTheory.IsFundamentalDomain.mk'
#align measure_theory.is_add_fundamental_domain.mk' MeasureTheory.IsAddFundamentalDomain.mk'
@[to_additive "For `s` to be a fundamental domain, it's enough to check
`MeasureTheory.AEDisjoint (g +ᵥ s) s` for `g ≠ 0`."]
theorem mk'' (h_meas : NullMeasurableSet s μ) (h_ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g • x ∈ s)
(h_ae_disjoint : ∀ g, g ≠ (1 : G) → AEDisjoint μ (g • s) s)
(h_qmp : ∀ g : G, QuasiMeasurePreserving ((g • ·) : α → α) μ μ) :
IsFundamentalDomain G s μ where
nullMeasurableSet := h_meas
ae_covers := h_ae_covers
aedisjoint := pairwise_aedisjoint_of_aedisjoint_forall_ne_one h_ae_disjoint h_qmp
#align measure_theory.is_fundamental_domain.mk'' MeasureTheory.IsFundamentalDomain.mk''
#align measure_theory.is_add_fundamental_domain.mk'' MeasureTheory.IsAddFundamentalDomain.mk''
@[to_additive
"If a measurable space has a finite measure `μ` and a countable additive group `G` acts
quasi-measure-preservingly, then to show that a set `s` is a fundamental domain, it is sufficient
to check that its translates `g +ᵥ s` are (almost) disjoint and that the sum `∑' g, μ (g +ᵥ s)` is
sufficiently large."]
theorem mk_of_measure_univ_le [IsFiniteMeasure μ] [Countable G] (h_meas : NullMeasurableSet s μ)
(h_ae_disjoint : ∀ g ≠ (1 : G), AEDisjoint μ (g • s) s)
(h_qmp : ∀ g : G, QuasiMeasurePreserving (g • · : α → α) μ μ)
(h_measure_univ_le : μ (univ : Set α) ≤ ∑' g : G, μ (g • s)) : IsFundamentalDomain G s μ :=
have aedisjoint : Pairwise (AEDisjoint μ on fun g : G => g • s) :=
pairwise_aedisjoint_of_aedisjoint_forall_ne_one h_ae_disjoint h_qmp
{ nullMeasurableSet := h_meas
aedisjoint
ae_covers := by
replace h_meas : ∀ g : G, NullMeasurableSet (g • s) μ := fun g => by
rw [← inv_inv g, ← preimage_smul]; exact h_meas.preimage (h_qmp g⁻¹)
have h_meas' : NullMeasurableSet {a | ∃ g : G, g • a ∈ s} μ := by
rw [← iUnion_smul_eq_setOf_exists]; exact .iUnion h_meas
rw [ae_iff_measure_eq h_meas', ← iUnion_smul_eq_setOf_exists]
refine le_antisymm (measure_mono <| subset_univ _) ?_
rw [measure_iUnion₀ aedisjoint h_meas]
exact h_measure_univ_le }
#align measure_theory.is_fundamental_domain.mk_of_measure_univ_le MeasureTheory.IsFundamentalDomain.mk_of_measure_univ_le
#align measure_theory.is_add_fundamental_domain.mk_of_measure_univ_le MeasureTheory.IsAddFundamentalDomain.mk_of_measure_univ_le
@[to_additive]
theorem iUnion_smul_ae_eq (h : IsFundamentalDomain G s μ) : ⋃ g : G, g • s =ᵐ[μ] univ :=
eventuallyEq_univ.2 <| h.ae_covers.mono fun _ ⟨g, hg⟩ =>
mem_iUnion.2 ⟨g⁻¹, _, hg, inv_smul_smul _ _⟩
#align measure_theory.is_fundamental_domain.Union_smul_ae_eq MeasureTheory.IsFundamentalDomain.iUnion_smul_ae_eq
#align measure_theory.is_add_fundamental_domain.Union_vadd_ae_eq MeasureTheory.IsAddFundamentalDomain.iUnion_vadd_ae_eq
@[to_additive]
theorem measure_ne_zero [MeasurableSpace G] [Countable G] [MeasurableSMul G α]
[SMulInvariantMeasure G α μ] (hμ : μ ≠ 0) (h : IsFundamentalDomain G s μ) :
μ s ≠ 0 := by
have hc := measure_univ_pos.mpr hμ
contrapose! hc
rw [← measure_congr h.iUnion_smul_ae_eq]
refine le_trans (measure_iUnion_le _) ?_
simp_rw [measure_smul, hc, tsum_zero, le_refl]
@[to_additive]
theorem mono (h : IsFundamentalDomain G s μ) {ν : Measure α} (hle : ν ≪ μ) :
IsFundamentalDomain G s ν :=
⟨h.1.mono_ac hle, hle h.2, h.aedisjoint.mono fun _ _ h => hle h⟩
#align measure_theory.is_fundamental_domain.mono MeasureTheory.IsFundamentalDomain.mono
#align measure_theory.is_add_fundamental_domain.mono MeasureTheory.IsAddFundamentalDomain.mono
@[to_additive]
| Mathlib/MeasureTheory/Group/FundamentalDomain.lean | 166 | 177 | theorem preimage_of_equiv {ν : Measure β} (h : IsFundamentalDomain G s μ) {f : β → α}
(hf : QuasiMeasurePreserving f ν μ) {e : G → H} (he : Bijective e)
(hef : ∀ g, Semiconj f (e g • ·) (g • ·)) : IsFundamentalDomain H (f ⁻¹' s) ν where
nullMeasurableSet := h.nullMeasurableSet.preimage hf
ae_covers := (hf.ae h.ae_covers).mono fun x ⟨g, hg⟩ => ⟨e g, by rwa [mem_preimage, hef g x]⟩
aedisjoint a b hab := by |
lift e to G ≃ H using he
have : (e.symm a⁻¹)⁻¹ ≠ (e.symm b⁻¹)⁻¹ := by simp [hab]
have := (h.aedisjoint this).preimage hf
simp only [Semiconj] at hef
simpa only [onFun, ← preimage_smul_inv, preimage_preimage, ← hef, e.apply_symm_apply, inv_inv]
using this
|
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
#align orientation.area_form_map Orientation.areaForm_map
theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
#align orientation.area_form_comp_linear_isometry_equiv Orientation.areaForm_comp_linearIsometryEquiv
irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E :=
let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ :=
(InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm
↑to_dual.symm ∘ₗ ω
#align orientation.right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁
@[simp]
theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by
-- Porting note: split `simp only` for greater proof control
simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm,
LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply,
LinearIsometryEquiv.coe_toLinearEquiv]
rw [InnerProductSpace.toDual_symm_apply]
norm_cast
#align orientation.inner_right_angle_rotation_aux₁_left Orientation.inner_rightAngleRotationAux₁_left
@[simp]
theorem inner_rightAngleRotationAux₁_right (x y : E) :
⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by
rw [real_inner_comm]
simp [o.areaForm_swap y x]
#align orientation.inner_right_angle_rotation_aux₁_right Orientation.inner_rightAngleRotationAux₁_right
def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E :=
{ o.rightAngleRotationAux₁ with
norm_map' := fun x => by
dsimp
refine le_antisymm ?_ ?_
· cases' eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h h
· rw [← h]
positivity
refine le_of_mul_le_mul_right ?_ h
rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left]
exact o.areaForm_le x (o.rightAngleRotationAux₁ x)
· let K : Submodule ℝ E := ℝ ∙ x
have : Nontrivial Kᗮ := by
apply @FiniteDimensional.nontrivial_of_finrank_pos ℝ
have : finrank ℝ K ≤ Finset.card {x} := by
rw [← Set.toFinset_singleton]
exact finrank_span_le_card ({x} : Set E)
have : Finset.card {x} = 1 := Finset.card_singleton x
have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal
have : finrank ℝ E = 2 := Fact.out
linarith
obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0
have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2
have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h)
refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖)
rw [← o.abs_areaForm_of_orthogonal hw']
rw [← o.inner_rightAngleRotationAux₁_left x w]
exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w }
#align orientation.right_angle_rotation_aux₂ Orientation.rightAngleRotationAux₂
@[simp]
theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) :
o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by
apply ext_inner_left ℝ
intro y
have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ :=
LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x
rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this,
inner_neg_right]
#align orientation.right_angle_rotation_aux₁_right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁_rightAngleRotationAux₁
irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E :=
LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁)
(by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂])
#align orientation.right_angle_rotation Orientation.rightAngleRotation
local notation "J" => o.rightAngleRotation
@[simp]
theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_left x y
#align orientation.inner_right_angle_rotation_left Orientation.inner_rightAngleRotation_left
@[simp]
theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_right x y
#align orientation.inner_right_angle_rotation_right Orientation.inner_rightAngleRotation_right
@[simp]
theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by
rw [rightAngleRotation]
exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x
#align orientation.right_angle_rotation_right_angle_rotation Orientation.rightAngleRotation_rightAngleRotation
@[simp]
theorem rightAngleRotation_symm :
LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by
rw [rightAngleRotation]
exact LinearIsometryEquiv.toLinearIsometry_injective rfl
#align orientation.right_angle_rotation_symm Orientation.rightAngleRotation_symm
-- @[simp] -- Porting note (#10618): simp already proves this
theorem inner_rightAngleRotation_self (x : E) : ⟪J x, x⟫ = 0 := by simp
#align orientation.inner_right_angle_rotation_self Orientation.inner_rightAngleRotation_self
theorem inner_rightAngleRotation_swap (x y : E) : ⟪x, J y⟫ = -⟪J x, y⟫ := by simp
#align orientation.inner_right_angle_rotation_swap Orientation.inner_rightAngleRotation_swap
theorem inner_rightAngleRotation_swap' (x y : E) : ⟪J x, y⟫ = -⟪x, J y⟫ := by
simp [o.inner_rightAngleRotation_swap x y]
#align orientation.inner_right_angle_rotation_swap' Orientation.inner_rightAngleRotation_swap'
theorem inner_comp_rightAngleRotation (x y : E) : ⟪J x, J y⟫ = ⟪x, y⟫ :=
LinearIsometryEquiv.inner_map_map J x y
#align orientation.inner_comp_right_angle_rotation Orientation.inner_comp_rightAngleRotation
@[simp]
theorem areaForm_rightAngleRotation_left (x y : E) : ω (J x) y = -⟪x, y⟫ := by
rw [← o.inner_comp_rightAngleRotation, o.inner_rightAngleRotation_right, neg_neg]
#align orientation.area_form_right_angle_rotation_left Orientation.areaForm_rightAngleRotation_left
@[simp]
theorem areaForm_rightAngleRotation_right (x y : E) : ω x (J y) = ⟪x, y⟫ := by
rw [← o.inner_rightAngleRotation_left, o.inner_comp_rightAngleRotation]
#align orientation.area_form_right_angle_rotation_right Orientation.areaForm_rightAngleRotation_right
-- @[simp] -- Porting note (#10618): simp already proves this
theorem areaForm_comp_rightAngleRotation (x y : E) : ω (J x) (J y) = ω x y := by simp
#align orientation.area_form_comp_right_angle_rotation Orientation.areaForm_comp_rightAngleRotation
@[simp]
theorem rightAngleRotation_trans_rightAngleRotation :
LinearIsometryEquiv.trans J J = LinearIsometryEquiv.neg ℝ := by ext; simp
#align orientation.right_angle_rotation_trans_right_angle_rotation Orientation.rightAngleRotation_trans_rightAngleRotation
theorem rightAngleRotation_neg_orientation (x : E) :
(-o).rightAngleRotation x = -o.rightAngleRotation x := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
simp
#align orientation.right_angle_rotation_neg_orientation Orientation.rightAngleRotation_neg_orientation
@[simp]
theorem rightAngleRotation_trans_neg_orientation :
(-o).rightAngleRotation = o.rightAngleRotation.trans (LinearIsometryEquiv.neg ℝ) :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_neg_orientation
#align orientation.right_angle_rotation_trans_neg_orientation Orientation.rightAngleRotation_trans_neg_orientation
theorem rightAngleRotation_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation x =
φ (o.rightAngleRotation (φ.symm x)) := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
trans ⟪J (φ.symm x), φ.symm y⟫
· simp [o.areaForm_map]
trans ⟪φ (J (φ.symm x)), φ (φ.symm y)⟫
· rw [φ.inner_map_map]
· simp
#align orientation.right_angle_rotation_map Orientation.rightAngleRotation_map
theorem linearIsometryEquiv_comp_rightAngleRotation (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x : E) : φ (J x) = J (φ x) := by
convert (o.rightAngleRotation_map φ (φ x)).symm
· simp
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
#align orientation.linear_isometry_equiv_comp_right_angle_rotation Orientation.linearIsometryEquiv_comp_rightAngleRotation
theorem rightAngleRotation_map' {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation =
(φ.symm.trans o.rightAngleRotation).trans φ :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_map φ
#align orientation.right_angle_rotation_map' Orientation.rightAngleRotation_map'
theorem linearIsometryEquiv_comp_rightAngleRotation' (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) :
LinearIsometryEquiv.trans J φ = φ.trans J :=
LinearIsometryEquiv.ext <| o.linearIsometryEquiv_comp_rightAngleRotation φ hφ
#align orientation.linear_isometry_equiv_comp_right_angle_rotation' Orientation.linearIsometryEquiv_comp_rightAngleRotation'
def basisRightAngleRotation (x : E) (hx : x ≠ 0) : Basis (Fin 2) ℝ E :=
@basisOfLinearIndependentOfCardEqFinrank ℝ _ _ _ _ _ _ _ ![x, J x]
(linearIndependent_of_ne_zero_of_inner_eq_zero (fun i => by fin_cases i <;> simp [hx])
(by
intro i j hij
fin_cases i <;> fin_cases j <;> simp_all))
(@Fact.out (finrank ℝ E = 2)).symm
#align orientation.basis_right_angle_rotation Orientation.basisRightAngleRotation
@[simp]
theorem coe_basisRightAngleRotation (x : E) (hx : x ≠ 0) :
⇑(o.basisRightAngleRotation x hx) = ![x, J x] :=
coe_basisOfLinearIndependentOfCardEqFinrank _ _
#align orientation.coe_basis_right_angle_rotation Orientation.coe_basisRightAngleRotation
theorem inner_mul_inner_add_areaForm_mul_areaForm' (a x : E) :
⟪a, x⟫ • innerₛₗ ℝ a + ω a x • ω a = ‖a‖ ^ 2 • innerₛₗ ℝ x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [Fin.mk_zero, coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply,
LinearMap.smul_apply, innerₛₗ_apply, real_inner_self_eq_norm_sq, smul_eq_mul,
areaForm_apply_self, mul_zero, add_zero, Real.rpow_two, real_inner_comm]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.add_apply, LinearMap.smul_apply, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, smul_eq_mul, mul_zero, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_add, Real.rpow_two, mul_neg]
rw [o.areaForm_swap]
ring
#align orientation.inner_mul_inner_add_area_form_mul_area_form' Orientation.inner_mul_inner_add_areaForm_mul_areaForm'
theorem inner_mul_inner_add_areaForm_mul_areaForm (a x y : E) :
⟪a, x⟫ * ⟪a, y⟫ + ω a x * ω a y = ‖a‖ ^ 2 * ⟪x, y⟫ :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_inner_add_areaForm_mul_areaForm' a x)
#align orientation.inner_mul_inner_add_area_form_mul_area_form Orientation.inner_mul_inner_add_areaForm_mul_areaForm
theorem inner_sq_add_areaForm_sq (a b : E) : ⟪a, b⟫ ^ 2 + ω a b ^ 2 = ‖a‖ ^ 2 * ‖b‖ ^ 2 := by
simpa [sq, real_inner_self_eq_norm_sq] using o.inner_mul_inner_add_areaForm_mul_areaForm a b b
#align orientation.inner_sq_add_area_form_sq Orientation.inner_sq_add_areaForm_sq
theorem inner_mul_areaForm_sub' (a x : E) : ⟪a, x⟫ • ω a - ω a x • innerₛₗ ℝ a = ‖a‖ ^ 2 • ω x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [o.areaForm_swap a x, neg_smul, sub_neg_eq_add, Fin.mk_zero,
coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply, LinearMap.smul_apply,
areaForm_apply_self, smul_eq_mul, mul_zero, innerₛₗ_apply, real_inner_self_eq_norm_sq,
zero_add, Real.rpow_two]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.sub_apply, LinearMap.smul_apply, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, smul_eq_mul, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, mul_zero, sub_zero, Real.rpow_two, real_inner_comm]
ring
#align orientation.inner_mul_area_form_sub' Orientation.inner_mul_areaForm_sub'
theorem inner_mul_areaForm_sub (a x y : E) : ⟪a, x⟫ * ω a y - ω a x * ⟪a, y⟫ = ‖a‖ ^ 2 * ω x y :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_areaForm_sub' a x)
#align orientation.inner_mul_area_form_sub Orientation.inner_mul_areaForm_sub
theorem nonneg_inner_and_areaForm_eq_zero_iff_sameRay (x y : E) :
0 ≤ ⟪x, y⟫ ∧ ω x y = 0 ↔ SameRay ℝ x y := by
by_cases hx : x = 0
· simp [hx]
constructor
· let a : ℝ := (o.basisRightAngleRotation x hx).repr y 0
let b : ℝ := (o.basisRightAngleRotation x hx).repr y 1
suffices ↑0 ≤ a * ‖x‖ ^ 2 ∧ b * ‖x‖ ^ 2 = 0 → SameRay ℝ x (a • x + b • J x) by
rw [← (o.basisRightAngleRotation x hx).sum_repr y]
simp only [Fin.sum_univ_succ, coe_basisRightAngleRotation, Matrix.cons_val_zero,
Fin.succ_zero_eq_one', Finset.univ_eq_empty, Finset.sum_empty, areaForm_apply_self,
map_smul, map_add, real_inner_smul_right, inner_add_right, Matrix.cons_val_one,
Matrix.head_cons, Algebra.id.smul_eq_mul, areaForm_rightAngleRotation_right,
mul_zero, add_zero, zero_add, neg_zero, inner_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_smul, one_smul]
exact this
rintro ⟨ha, hb⟩
have hx' : 0 < ‖x‖ := by simpa using hx
have ha' : 0 ≤ a := nonneg_of_mul_nonneg_left ha (by positivity)
have hb' : b = 0 := eq_zero_of_ne_zero_of_mul_right_eq_zero (pow_ne_zero 2 hx'.ne') hb
exact (SameRay.sameRay_nonneg_smul_right x ha').add_right $ by simp [hb']
· intro h
obtain ⟨r, hr, rfl⟩ := h.exists_nonneg_left hx
simp only [inner_smul_right, real_inner_self_eq_norm_sq, LinearMap.map_smulₛₗ,
areaForm_apply_self, Algebra.id.smul_eq_mul, mul_zero, eq_self_iff_true,
and_true_iff]
positivity
#align orientation.nonneg_inner_and_area_form_eq_zero_iff_same_ray Orientation.nonneg_inner_and_areaForm_eq_zero_iff_sameRay
def kahler : E →ₗ[ℝ] E →ₗ[ℝ] ℂ :=
LinearMap.llcomp ℝ E ℝ ℂ Complex.ofRealCLM ∘ₗ innerₛₗ ℝ +
LinearMap.llcomp ℝ E ℝ ℂ ((LinearMap.lsmul ℝ ℂ).flip Complex.I) ∘ₗ ω
#align orientation.kahler Orientation.kahler
theorem kahler_apply_apply (x y : E) : o.kahler x y = ⟪x, y⟫ + ω x y • Complex.I :=
rfl
#align orientation.kahler_apply_apply Orientation.kahler_apply_apply
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 487 | 491 | theorem kahler_swap (x y : E) : o.kahler x y = conj (o.kahler y x) := by |
have : ∀ r : ℝ, Complex.ofReal' r = @RCLike.ofReal ℂ _ r := fun r => rfl
simp only [kahler_apply_apply]
rw [real_inner_comm, areaForm_swap]
simp [this]
|
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Data.Real.Sqrt
import Mathlib.Tactic.Polyrith
#align_import algebra.star.chsh from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004"
universe u
--@[nolint has_nonempty_instance] Porting note(#5171): linter not ported yet
structure IsCHSHTuple {R} [Monoid R] [StarMul R] (A₀ A₁ B₀ B₁ : R) : Prop where
A₀_inv : A₀ ^ 2 = 1
A₁_inv : A₁ ^ 2 = 1
B₀_inv : B₀ ^ 2 = 1
B₁_inv : B₁ ^ 2 = 1
A₀_sa : star A₀ = A₀
A₁_sa : star A₁ = A₁
B₀_sa : star B₀ = B₀
B₁_sa : star B₁ = B₁
A₀B₀_commutes : A₀ * B₀ = B₀ * A₀
A₀B₁_commutes : A₀ * B₁ = B₁ * A₀
A₁B₀_commutes : A₁ * B₀ = B₀ * A₁
A₁B₁_commutes : A₁ * B₁ = B₁ * A₁
set_option linter.uppercaseLean3 false in
#align is_CHSH_tuple IsCHSHTuple
variable {R : Type u}
theorem CHSH_id [CommRing R] {A₀ A₁ B₀ B₁ : R} (A₀_inv : A₀ ^ 2 = 1) (A₁_inv : A₁ ^ 2 = 1)
(B₀_inv : B₀ ^ 2 = 1) (B₁_inv : B₁ ^ 2 = 1) :
(2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) =
4 * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) := by
-- polyrith suggests:
linear_combination
(2 * B₀ * B₁ + 2) * A₀_inv + (B₀ ^ 2 - 2 * B₀ * B₁ + B₁ ^ 2) * A₁_inv +
(A₀ ^ 2 + 2 * A₀ * A₁ + 1) * B₀_inv +
(A₀ ^ 2 - 2 * A₀ * A₁ + 1) * B₁_inv
set_option linter.uppercaseLean3 false in
#align CHSH_id CHSH_id
theorem CHSH_inequality_of_comm [OrderedCommRing R] [StarRing R] [StarOrderedRing R] [Algebra ℝ R]
[OrderedSMul ℝ R] (A₀ A₁ B₀ B₁ : R) (T : IsCHSHTuple A₀ A₁ B₀ B₁) :
A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2 := by
let P := 2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁
have i₁ : 0 ≤ P := by
have idem : P * P = 4 * P := CHSH_id T.A₀_inv T.A₁_inv T.B₀_inv T.B₁_inv
have idem' : P = (1 / 4 : ℝ) • (P * P) := by
have h : 4 * P = (4 : ℝ) • P := by simp [Algebra.smul_def]
rw [idem, h, ← mul_smul]
norm_num
have sa : star P = P := by
dsimp [P]
simp only [star_add, star_sub, star_mul, star_ofNat, star_one, T.A₀_sa, T.A₁_sa, T.B₀_sa,
T.B₁_sa, mul_comm B₀, mul_comm B₁]
simpa only [← idem', sa]
using smul_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 4) (star_mul_self_nonneg P)
apply le_of_sub_nonneg
simpa only [sub_add_eq_sub_sub, ← sub_add] using i₁
set_option linter.uppercaseLean3 false in
#align CHSH_inequality_of_comm CHSH_inequality_of_comm
namespace TsirelsonInequality
-- This calculation, which we need for Tsirelson's bound,
-- defeated me. Thanks for the rescue from Shing Tak Lam!
theorem tsirelson_inequality_aux : √2 * √2 ^ 3 = √2 * (2 * (√2)⁻¹ + 4 * ((√2)⁻¹ * 2⁻¹)) := by
ring_nf
rw [mul_inv_cancel (ne_of_gt (Real.sqrt_pos.2 (show (2 : ℝ) > 0 by norm_num)))]
convert congr_arg (· ^ 2) (@Real.sq_sqrt 2 (by norm_num)) using 1 <;>
(try simp only [← pow_mul]) <;> norm_num
#align tsirelson_inequality.tsirelson_inequality_aux TsirelsonInequality.tsirelson_inequality_aux
| Mathlib/Algebra/Star/CHSH.lean | 165 | 167 | theorem sqrt_two_inv_mul_self : (√2)⁻¹ * (√2)⁻¹ = (2⁻¹ : ℝ) := by |
rw [← mul_inv]
norm_num
|
import Mathlib.LinearAlgebra.DFinsupp
import Mathlib.LinearAlgebra.StdBasis
#align_import linear_algebra.finsupp_vector_space from "leanprover-community/mathlib"@"59628387770d82eb6f6dd7b7107308aa2509ec95"
noncomputable section
open Set LinearMap Submodule
open scoped Cardinal
universe u v w
namespace Finsupp
namespace Basis
variable {R M n : Type*}
variable [DecidableEq n]
variable [Semiring R] [AddCommMonoid M] [Module R M]
theorem _root_.Finset.sum_single_ite [Fintype n] (a : R) (i : n) :
(∑ x : n, Finsupp.single x (if i = x then a else 0)) = Finsupp.single i a := by
simp only [apply_ite (Finsupp.single _), Finsupp.single_zero, Finset.sum_ite_eq,
if_pos (Finset.mem_univ _)]
#align finset.sum_single_ite Finset.sum_single_ite
| Mathlib/LinearAlgebra/FinsuppVectorSpace.lean | 167 | 170 | theorem equivFun_symm_stdBasis [Finite n] (b : Basis n R M) (i : n) :
b.equivFun.symm (LinearMap.stdBasis R (fun _ => R) i 1) = b i := by |
cases nonempty_fintype n
simp
|
import Mathlib.Algebra.Order.Group.TypeTags
import Mathlib.FieldTheory.RatFunc.Degree
import Mathlib.RingTheory.DedekindDomain.IntegralClosure
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.Topology.Algebra.ValuedField
#align_import number_theory.function_field from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open scoped nonZeroDivisors Polynomial DiscreteValuation
variable (Fq F : Type) [Field Fq] [Field F]
abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop :=
FiniteDimensional (RatFunc Fq) F
#align function_field FunctionField
-- Porting note: Removed `protected`
theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt]
[IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F]
[IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] :
FunctionField Fq F ↔ FiniteDimensional Fqt F := by
let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt
have : ∀ (c) (x : F), e c • x = c • x := by
intro c x
rw [Algebra.smul_def, Algebra.smul_def]
congr
refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c -- Porting note: Added `(f := _)`
refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;>
simp only [AlgEquiv.map_one, RingHom.map_one, AlgEquiv.map_mul, RingHom.map_mul,
AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply]
constructor <;> intro h
· let b := FiniteDimensional.finBasis (RatFunc Fq) F
exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this)
· let b := FiniteDimensional.finBasis Fqt F
refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_)
intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply]
#align function_field_iff functionField_iff
theorem algebraMap_injective [Algebra Fq[X] F] [Algebra (RatFunc Fq) F]
[IsScalarTower Fq[X] (RatFunc Fq) F] : Function.Injective (⇑(algebraMap Fq[X] F)) := by
rw [IsScalarTower.algebraMap_eq Fq[X] (RatFunc Fq) F]
exact (algebraMap (RatFunc Fq) F).injective.comp (IsFractionRing.injective Fq[X] (RatFunc Fq))
#align algebra_map_injective algebraMap_injective
namespace FunctionField
def ringOfIntegers [Algebra Fq[X] F] :=
integralClosure Fq[X] F
#align function_field.ring_of_integers FunctionField.ringOfIntegers
section InftyValuation
variable [DecidableEq (RatFunc Fq)]
def inftyValuationDef (r : RatFunc Fq) : ℤₘ₀ :=
if r = 0 then 0 else ↑(Multiplicative.ofAdd r.intDegree)
#align function_field.infty_valuation_def FunctionField.inftyValuationDef
theorem InftyValuation.map_zero' : inftyValuationDef Fq 0 = 0 :=
if_pos rfl
#align function_field.infty_valuation.map_zero' FunctionField.InftyValuation.map_zero'
theorem InftyValuation.map_one' : inftyValuationDef Fq 1 = 1 :=
(if_neg one_ne_zero).trans <| by rw [RatFunc.intDegree_one, ofAdd_zero, WithZero.coe_one]
#align function_field.infty_valuation.map_one' FunctionField.InftyValuation.map_one'
theorem InftyValuation.map_mul' (x y : RatFunc Fq) :
inftyValuationDef Fq (x * y) = inftyValuationDef Fq x * inftyValuationDef Fq y := by
rw [inftyValuationDef, inftyValuationDef, inftyValuationDef]
by_cases hx : x = 0
· rw [hx, zero_mul, if_pos (Eq.refl _), zero_mul]
· by_cases hy : y = 0
· rw [hy, mul_zero, if_pos (Eq.refl _), mul_zero]
· rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithZero.coe_mul, WithZero.coe_inj,
← ofAdd_add, RatFunc.intDegree_mul hx hy]
#align function_field.infty_valuation.map_mul' FunctionField.InftyValuation.map_mul'
theorem InftyValuation.map_add_le_max' (x y : RatFunc Fq) :
inftyValuationDef Fq (x + y) ≤ max (inftyValuationDef Fq x) (inftyValuationDef Fq y) := by
by_cases hx : x = 0
· rw [hx, zero_add]
conv_rhs => rw [inftyValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (inftyValuationDef Fq y))]
· by_cases hy : y = 0
· rw [hy, add_zero]
conv_rhs => rw [max_comm, inftyValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (inftyValuationDef Fq x))]
· by_cases hxy : x + y = 0
· rw [inftyValuationDef, if_pos hxy]; exact zero_le'
· rw [inftyValuationDef, inftyValuationDef, inftyValuationDef, if_neg hx, if_neg hy,
if_neg hxy]
rw [le_max_iff, WithZero.coe_le_coe, Multiplicative.ofAdd_le, WithZero.coe_le_coe,
Multiplicative.ofAdd_le, ← le_max_iff]
exact RatFunc.intDegree_add_le hy hxy
#align function_field.infty_valuation.map_add_le_max' FunctionField.InftyValuation.map_add_le_max'
@[simp]
theorem inftyValuation_of_nonzero {x : RatFunc Fq} (hx : x ≠ 0) :
inftyValuationDef Fq x = Multiplicative.ofAdd x.intDegree := by
rw [inftyValuationDef, if_neg hx]
#align function_field.infty_valuation_of_nonzero FunctionField.inftyValuation_of_nonzero
def inftyValuation : Valuation (RatFunc Fq) ℤₘ₀ where
toFun := inftyValuationDef Fq
map_zero' := InftyValuation.map_zero' Fq
map_one' := InftyValuation.map_one' Fq
map_mul' := InftyValuation.map_mul' Fq
map_add_le_max' := InftyValuation.map_add_le_max' Fq
#align function_field.infty_valuation FunctionField.inftyValuation
@[simp]
theorem inftyValuation_apply {x : RatFunc Fq} : inftyValuation Fq x = inftyValuationDef Fq x :=
rfl
#align function_field.infty_valuation_apply FunctionField.inftyValuation_apply
@[simp]
| Mathlib/NumberTheory/FunctionField.lean | 219 | 222 | theorem inftyValuation.C {k : Fq} (hk : k ≠ 0) :
inftyValuationDef Fq (RatFunc.C k) = Multiplicative.ofAdd (0 : ℤ) := by |
have hCk : RatFunc.C k ≠ 0 := (map_ne_zero _).mpr hk
rw [inftyValuationDef, if_neg hCk, RatFunc.intDegree_C]
|
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]
| Mathlib/Data/List/Join.lean | 60 | 62 | 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]
|
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.NatAntidiagonal
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
#align_import data.nat.choose.sum from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Nat
open Finset
variable {R : Type*}
namespace Commute
variable [Semiring R] {x y : R}
| Mathlib/Data/Nat/Choose/Sum.lean | 37 | 67 | theorem add_pow (h : Commute x y) (n : ℕ) :
(x + y) ^ n = ∑ m ∈ range (n + 1), x ^ m * y ^ (n - m) * choose n m := by |
let t : ℕ → ℕ → R := fun n m ↦ x ^ m * y ^ (n - m) * choose n m
change (x + y) ^ n = ∑ m ∈ range (n + 1), t n m
have h_first : ∀ n, t n 0 = y ^ n := fun n ↦ by
simp only [t, choose_zero_right, _root_.pow_zero, Nat.cast_one, mul_one, one_mul, tsub_zero]
have h_last : ∀ n, t n n.succ = 0 := fun n ↦ by
simp only [t, ge_iff_le, choose_succ_self, cast_zero, mul_zero]
have h_middle :
∀ n i : ℕ, i ∈ range n.succ → (t n.succ ∘ Nat.succ) i =
x * t n i + y * t n i.succ := by
intro n i h_mem
have h_le : i ≤ n := Nat.le_of_lt_succ (mem_range.mp h_mem)
dsimp only [t]
rw [Function.comp_apply, choose_succ_succ, Nat.cast_add, mul_add]
congr 1
· rw [pow_succ' x, succ_sub_succ, mul_assoc, mul_assoc, mul_assoc]
· rw [← mul_assoc y, ← mul_assoc y, (h.symm.pow_right i.succ).eq]
by_cases h_eq : i = n
· rw [h_eq, choose_succ_self, Nat.cast_zero, mul_zero, mul_zero]
· rw [succ_sub (lt_of_le_of_ne h_le h_eq)]
rw [pow_succ' y, mul_assoc, mul_assoc, mul_assoc, mul_assoc]
induction' n with n ih
· rw [_root_.pow_zero, sum_range_succ, range_zero, sum_empty, zero_add]
dsimp only [t]
rw [_root_.pow_zero, _root_.pow_zero, choose_self, Nat.cast_one, mul_one, mul_one]
· rw [sum_range_succ', h_first]
erw [sum_congr rfl (h_middle n), sum_add_distrib, add_assoc]
rw [pow_succ' (x + y), ih, add_mul, mul_sum, mul_sum]
congr 1
rw [sum_range_succ', sum_range_succ, h_first, h_last, mul_zero, add_zero, _root_.pow_succ']
|
import Mathlib.Order.Interval.Finset.Fin
#align_import data.fintype.fin from "leanprover-community/mathlib"@"759575657f189ccb424b990164c8b1fa9f55cdfe"
open Finset
open Fintype
namespace Fin
variable {α β : Type*} {n : ℕ}
theorem map_valEmbedding_univ : (Finset.univ : Finset (Fin n)).map Fin.valEmbedding = Iio n := by
ext
simp [orderIsoSubtype.symm.surjective.exists, OrderIso.symm]
#align fin.map_subtype_embedding_univ Fin.map_valEmbedding_univ
@[simp]
theorem Ioi_zero_eq_map : Ioi (0 : Fin n.succ) = univ.map (Fin.succEmb _) :=
coe_injective <| by ext; simp [pos_iff_ne_zero]
#align fin.Ioi_zero_eq_map Fin.Ioi_zero_eq_map
@[simp]
theorem Iio_last_eq_map : Iio (Fin.last n) = Finset.univ.map Fin.castSuccEmb :=
coe_injective <| by ext; simp [lt_def]
#align fin.Iio_last_eq_map Fin.Iio_last_eq_map
@[simp]
| Mathlib/Data/Fintype/Fin.lean | 41 | 51 | theorem Ioi_succ (i : Fin n) : Ioi i.succ = (Ioi i).map (Fin.succEmb _) := by |
ext i
simp only [mem_filter, mem_Ioi, mem_map, mem_univ, true_and_iff, Function.Embedding.coeFn_mk,
exists_true_left]
constructor
· refine cases ?_ ?_ i
· rintro ⟨⟨⟩⟩
· intro i hi
exact ⟨i, succ_lt_succ_iff.mp hi, rfl⟩
· rintro ⟨i, hi, rfl⟩
simpa
|
import Mathlib.Algebra.Module.Equiv
import Mathlib.Algebra.Module.Submodule.Basic
import Mathlib.Algebra.PUnitInstances
import Mathlib.Data.Set.Subsingleton
#align_import algebra.module.submodule.lattice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
universe v
variable {R S M : Type*}
section AddCommMonoid
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] [Module S M]
variable [SMul S R] [IsScalarTower S R M]
variable {p q : Submodule R M}
namespace Submodule
instance : Bot (Submodule R M) :=
⟨{ (⊥ : AddSubmonoid M) with
carrier := {0}
smul_mem' := by simp }⟩
instance inhabited' : Inhabited (Submodule R M) :=
⟨⊥⟩
#align submodule.inhabited' Submodule.inhabited'
@[simp]
theorem bot_coe : ((⊥ : Submodule R M) : Set M) = {0} :=
rfl
#align submodule.bot_coe Submodule.bot_coe
@[simp]
theorem bot_toAddSubmonoid : (⊥ : Submodule R M).toAddSubmonoid = ⊥ :=
rfl
#align submodule.bot_to_add_submonoid Submodule.bot_toAddSubmonoid
@[simp]
lemma bot_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊥ : Submodule R M).toAddSubgroup = ⊥ := rfl
variable (R) in
@[simp]
theorem mem_bot {x : M} : x ∈ (⊥ : Submodule R M) ↔ x = 0 :=
Set.mem_singleton_iff
#align submodule.mem_bot Submodule.mem_bot
instance uniqueBot : Unique (⊥ : Submodule R M) :=
⟨inferInstance, fun x ↦ Subtype.ext <| (mem_bot R).1 x.mem⟩
#align submodule.unique_bot Submodule.uniqueBot
instance : OrderBot (Submodule R M) where
bot := ⊥
bot_le p x := by simp (config := { contextual := true }) [zero_mem]
protected theorem eq_bot_iff (p : Submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) :=
⟨fun h ↦ h.symm ▸ fun _ hx ↦ (mem_bot R).mp hx,
fun h ↦ eq_bot_iff.mpr fun x hx ↦ (mem_bot R).mpr (h x hx)⟩
#align submodule.eq_bot_iff Submodule.eq_bot_iff
@[ext high]
protected theorem bot_ext (x y : (⊥ : Submodule R M)) : x = y := by
rcases x with ⟨x, xm⟩; rcases y with ⟨y, ym⟩; congr
rw [(Submodule.eq_bot_iff _).mp rfl x xm]
rw [(Submodule.eq_bot_iff _).mp rfl y ym]
#align submodule.bot_ext Submodule.bot_ext
protected theorem ne_bot_iff (p : Submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) := by
simp only [ne_eq, p.eq_bot_iff, not_forall, exists_prop]
#align submodule.ne_bot_iff Submodule.ne_bot_iff
theorem nonzero_mem_of_bot_lt {p : Submodule R M} (bot_lt : ⊥ < p) : ∃ a : p, a ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp bot_lt.ne'
⟨⟨b, hb₁⟩, hb₂ ∘ congr_arg Subtype.val⟩
#align submodule.nonzero_mem_of_bot_lt Submodule.nonzero_mem_of_bot_lt
theorem exists_mem_ne_zero_of_ne_bot {p : Submodule R M} (h : p ≠ ⊥) : ∃ b : M, b ∈ p ∧ b ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp h
⟨b, hb₁, hb₂⟩
#align submodule.exists_mem_ne_zero_of_ne_bot Submodule.exists_mem_ne_zero_of_ne_bot
-- FIXME: we default PUnit to PUnit.{1} here without the explicit universe annotation
@[simps]
def botEquivPUnit : (⊥ : Submodule R M) ≃ₗ[R] PUnit.{v+1} where
toFun _ := PUnit.unit
invFun _ := 0
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := Subsingleton.elim _ _
right_inv _ := rfl
#align submodule.bot_equiv_punit Submodule.botEquivPUnit
theorem subsingleton_iff_eq_bot : Subsingleton p ↔ p = ⊥ := by
rw [subsingleton_iff, Submodule.eq_bot_iff]
refine ⟨fun h x hx ↦ by simpa using h ⟨x, hx⟩ ⟨0, p.zero_mem⟩,
fun h ⟨x, hx⟩ ⟨y, hy⟩ ↦ by simp [h x hx, h y hy]⟩
theorem eq_bot_of_subsingleton [Subsingleton p] : p = ⊥ :=
subsingleton_iff_eq_bot.mp inferInstance
#align submodule.eq_bot_of_subsingleton Submodule.eq_bot_of_subsingleton
theorem nontrivial_iff_ne_bot : Nontrivial p ↔ p ≠ ⊥ := by
rw [iff_not_comm, not_nontrivial_iff_subsingleton, subsingleton_iff_eq_bot]
instance : Top (Submodule R M) :=
⟨{ (⊤ : AddSubmonoid M) with
carrier := Set.univ
smul_mem' := fun _ _ _ ↦ trivial }⟩
@[simp]
theorem top_coe : ((⊤ : Submodule R M) : Set M) = Set.univ :=
rfl
#align submodule.top_coe Submodule.top_coe
@[simp]
theorem top_toAddSubmonoid : (⊤ : Submodule R M).toAddSubmonoid = ⊤ :=
rfl
#align submodule.top_to_add_submonoid Submodule.top_toAddSubmonoid
@[simp]
lemma top_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊤ : Submodule R M).toAddSubgroup = ⊤ := rfl
@[simp]
theorem mem_top {x : M} : x ∈ (⊤ : Submodule R M) :=
trivial
#align submodule.mem_top Submodule.mem_top
instance : OrderTop (Submodule R M) where
top := ⊤
le_top _ _ _ := trivial
theorem eq_top_iff' {p : Submodule R M} : p = ⊤ ↔ ∀ x, x ∈ p :=
eq_top_iff.trans ⟨fun h _ ↦ h trivial, fun h x _ ↦ h x⟩
#align submodule.eq_top_iff' Submodule.eq_top_iff'
@[simps]
def topEquiv : (⊤ : Submodule R M) ≃ₗ[R] M where
toFun x := x
invFun x := ⟨x, mem_top⟩
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := rfl
right_inv _ := rfl
#align submodule.top_equiv Submodule.topEquiv
instance : InfSet (Submodule R M) :=
⟨fun S ↦
{ carrier := ⋂ s ∈ S, (s : Set M)
zero_mem' := by simp [zero_mem]
add_mem' := by simp (config := { contextual := true }) [add_mem]
smul_mem' := by simp (config := { contextual := true }) [smul_mem] }⟩
private theorem sInf_le' {S : Set (Submodule R M)} {p} : p ∈ S → sInf S ≤ p :=
Set.biInter_subset_of_mem
private theorem le_sInf' {S : Set (Submodule R M)} {p} : (∀ q ∈ S, p ≤ q) → p ≤ sInf S :=
Set.subset_iInter₂
instance : Inf (Submodule R M) :=
⟨fun p q ↦
{ carrier := p ∩ q
zero_mem' := by simp [zero_mem]
add_mem' := by simp (config := { contextual := true }) [add_mem]
smul_mem' := by simp (config := { contextual := true }) [smul_mem] }⟩
instance completeLattice : CompleteLattice (Submodule R M) :=
{ (inferInstance : OrderTop (Submodule R M)),
(inferInstance : OrderBot (Submodule R M)) with
sup := fun a b ↦ sInf { x | a ≤ x ∧ b ≤ x }
le_sup_left := fun _ _ ↦ le_sInf' fun _ ⟨h, _⟩ ↦ h
le_sup_right := fun _ _ ↦ le_sInf' fun _ ⟨_, h⟩ ↦ h
sup_le := fun _ _ _ h₁ h₂ ↦ sInf_le' ⟨h₁, h₂⟩
inf := (· ⊓ ·)
le_inf := fun _ _ _ ↦ Set.subset_inter
inf_le_left := fun _ _ ↦ Set.inter_subset_left
inf_le_right := fun _ _ ↦ Set.inter_subset_right
le_sSup := fun _ _ hs ↦ le_sInf' fun _ hq ↦ by exact hq _ hs
sSup_le := fun _ _ hs ↦ sInf_le' hs
le_sInf := fun _ _ ↦ le_sInf'
sInf_le := fun _ _ ↦ sInf_le' }
#align submodule.complete_lattice Submodule.completeLattice
@[simp]
theorem inf_coe : ↑(p ⊓ q) = (p ∩ q : Set M) :=
rfl
#align submodule.inf_coe Submodule.inf_coe
@[simp]
theorem mem_inf {p q : Submodule R M} {x : M} : x ∈ p ⊓ q ↔ x ∈ p ∧ x ∈ q :=
Iff.rfl
#align submodule.mem_inf Submodule.mem_inf
@[simp]
theorem sInf_coe (P : Set (Submodule R M)) : (↑(sInf P) : Set M) = ⋂ p ∈ P, ↑p :=
rfl
#align submodule.Inf_coe Submodule.sInf_coe
@[simp]
| Mathlib/Algebra/Module/Submodule/Lattice.lean | 241 | 247 | theorem finset_inf_coe {ι} (s : Finset ι) (p : ι → Submodule R M) :
(↑(s.inf p) : Set M) = ⋂ i ∈ s, ↑(p i) := by |
letI := Classical.decEq ι
refine s.induction_on ?_ fun i s _ ih ↦ ?_
· simp
· rw [Finset.inf_insert, inf_coe, ih]
simp
|
import Mathlib.SetTheory.Cardinal.Finite
#align_import data.set.ncard from "leanprover-community/mathlib"@"74c2af38a828107941029b03839882c5c6f87a04"
namespace Set
variable {α β : Type*} {s t : Set α}
noncomputable def encard (s : Set α) : ℕ∞ := PartENat.withTopEquiv (PartENat.card s)
@[simp] theorem encard_univ_coe (s : Set α) : encard (univ : Set s) = encard s := by
rw [encard, encard, PartENat.card_congr (Equiv.Set.univ ↑s)]
theorem encard_univ (α : Type*) :
encard (univ : Set α) = PartENat.withTopEquiv (PartENat.card α) := by
rw [encard, PartENat.card_congr (Equiv.Set.univ α)]
theorem Finite.encard_eq_coe_toFinset_card (h : s.Finite) : s.encard = h.toFinset.card := by
have := h.fintype
rw [encard, PartENat.card_eq_coe_fintype_card,
PartENat.withTopEquiv_natCast, toFinite_toFinset, toFinset_card]
theorem encard_eq_coe_toFinset_card (s : Set α) [Fintype s] : encard s = s.toFinset.card := by
have h := toFinite s
rw [h.encard_eq_coe_toFinset_card, toFinite_toFinset]
theorem encard_coe_eq_coe_finsetCard (s : Finset α) : encard (s : Set α) = s.card := by
rw [Finite.encard_eq_coe_toFinset_card (Finset.finite_toSet s)]; simp
theorem Infinite.encard_eq {s : Set α} (h : s.Infinite) : s.encard = ⊤ := by
have := h.to_subtype
rw [encard, ← PartENat.withTopEquiv.symm.injective.eq_iff, Equiv.symm_apply_apply,
PartENat.withTopEquiv_symm_top, PartENat.card_eq_top_of_infinite]
@[simp] theorem encard_eq_zero : s.encard = 0 ↔ s = ∅ := by
rw [encard, ← PartENat.withTopEquiv.symm.injective.eq_iff, Equiv.symm_apply_apply,
PartENat.withTopEquiv_symm_zero, PartENat.card_eq_zero_iff_empty, isEmpty_subtype,
eq_empty_iff_forall_not_mem]
@[simp] theorem encard_empty : (∅ : Set α).encard = 0 := by
rw [encard_eq_zero]
theorem nonempty_of_encard_ne_zero (h : s.encard ≠ 0) : s.Nonempty := by
rwa [nonempty_iff_ne_empty, Ne, ← encard_eq_zero]
theorem encard_ne_zero : s.encard ≠ 0 ↔ s.Nonempty := by
rw [ne_eq, encard_eq_zero, nonempty_iff_ne_empty]
@[simp] theorem encard_pos : 0 < s.encard ↔ s.Nonempty := by
rw [pos_iff_ne_zero, encard_ne_zero]
@[simp] theorem encard_singleton (e : α) : ({e} : Set α).encard = 1 := by
rw [encard, ← PartENat.withTopEquiv.symm.injective.eq_iff, Equiv.symm_apply_apply,
PartENat.card_eq_coe_fintype_card, Fintype.card_ofSubsingleton, Nat.cast_one]; rfl
theorem encard_union_eq (h : Disjoint s t) : (s ∪ t).encard = s.encard + t.encard := by
classical
have e := (Equiv.Set.union (by rwa [subset_empty_iff, ← disjoint_iff_inter_eq_empty])).symm
simp [encard, ← PartENat.card_congr e, PartENat.card_sum, PartENat.withTopEquiv]
theorem encard_insert_of_not_mem {a : α} (has : a ∉ s) : (insert a s).encard = s.encard + 1 := by
rw [← union_singleton, encard_union_eq (by simpa), encard_singleton]
theorem Finite.encard_lt_top (h : s.Finite) : s.encard < ⊤ := by
refine h.induction_on (by simp) ?_
rintro a t hat _ ht'
rw [encard_insert_of_not_mem hat]
exact lt_tsub_iff_right.1 ht'
theorem Finite.encard_eq_coe (h : s.Finite) : s.encard = ENat.toNat s.encard :=
(ENat.coe_toNat h.encard_lt_top.ne).symm
theorem Finite.exists_encard_eq_coe (h : s.Finite) : ∃ (n : ℕ), s.encard = n :=
⟨_, h.encard_eq_coe⟩
@[simp] theorem encard_lt_top_iff : s.encard < ⊤ ↔ s.Finite :=
⟨fun h ↦ by_contra fun h' ↦ h.ne (Infinite.encard_eq h'), Finite.encard_lt_top⟩
@[simp] theorem encard_eq_top_iff : s.encard = ⊤ ↔ s.Infinite := by
rw [← not_iff_not, ← Ne, ← lt_top_iff_ne_top, encard_lt_top_iff, not_infinite]
theorem encard_ne_top_iff : s.encard ≠ ⊤ ↔ s.Finite := by
simp
theorem finite_of_encard_le_coe {k : ℕ} (h : s.encard ≤ k) : s.Finite := by
rw [← encard_lt_top_iff]; exact h.trans_lt (WithTop.coe_lt_top _)
theorem finite_of_encard_eq_coe {k : ℕ} (h : s.encard = k) : s.Finite :=
finite_of_encard_le_coe h.le
theorem encard_le_coe_iff {k : ℕ} : s.encard ≤ k ↔ s.Finite ∧ ∃ (n₀ : ℕ), s.encard = n₀ ∧ n₀ ≤ k :=
⟨fun h ↦ ⟨finite_of_encard_le_coe h, by rwa [ENat.le_coe_iff] at h⟩,
fun ⟨_,⟨n₀,hs, hle⟩⟩ ↦ by rwa [hs, Nat.cast_le]⟩
section Lattice
theorem encard_le_card (h : s ⊆ t) : s.encard ≤ t.encard := by
rw [← union_diff_cancel h, encard_union_eq disjoint_sdiff_right]; exact le_self_add
theorem encard_mono {α : Type*} : Monotone (encard : Set α → ℕ∞) :=
fun _ _ ↦ encard_le_card
theorem encard_diff_add_encard_of_subset (h : s ⊆ t) : (t \ s).encard + s.encard = t.encard := by
rw [← encard_union_eq disjoint_sdiff_left, diff_union_self, union_eq_self_of_subset_right h]
@[simp] theorem one_le_encard_iff_nonempty : 1 ≤ s.encard ↔ s.Nonempty := by
rw [nonempty_iff_ne_empty, Ne, ← encard_eq_zero, ENat.one_le_iff_ne_zero]
theorem encard_diff_add_encard_inter (s t : Set α) :
(s \ t).encard + (s ∩ t).encard = s.encard := by
rw [← encard_union_eq (disjoint_of_subset_right inter_subset_right disjoint_sdiff_left),
diff_union_inter]
theorem encard_union_add_encard_inter (s t : Set α) :
(s ∪ t).encard + (s ∩ t).encard = s.encard + t.encard := by
rw [← diff_union_self, encard_union_eq disjoint_sdiff_left, add_right_comm,
encard_diff_add_encard_inter]
theorem encard_eq_encard_iff_encard_diff_eq_encard_diff (h : (s ∩ t).Finite) :
s.encard = t.encard ↔ (s \ t).encard = (t \ s).encard := by
rw [← encard_diff_add_encard_inter s t, ← encard_diff_add_encard_inter t s, inter_comm t s,
WithTop.add_right_cancel_iff h.encard_lt_top.ne]
theorem encard_le_encard_iff_encard_diff_le_encard_diff (h : (s ∩ t).Finite) :
s.encard ≤ t.encard ↔ (s \ t).encard ≤ (t \ s).encard := by
rw [← encard_diff_add_encard_inter s t, ← encard_diff_add_encard_inter t s, inter_comm t s,
WithTop.add_le_add_iff_right h.encard_lt_top.ne]
theorem encard_lt_encard_iff_encard_diff_lt_encard_diff (h : (s ∩ t).Finite) :
s.encard < t.encard ↔ (s \ t).encard < (t \ s).encard := by
rw [← encard_diff_add_encard_inter s t, ← encard_diff_add_encard_inter t s, inter_comm t s,
WithTop.add_lt_add_iff_right h.encard_lt_top.ne]
theorem encard_union_le (s t : Set α) : (s ∪ t).encard ≤ s.encard + t.encard := by
rw [← encard_union_add_encard_inter]; exact le_self_add
theorem finite_iff_finite_of_encard_eq_encard (h : s.encard = t.encard) : s.Finite ↔ t.Finite := by
rw [← encard_lt_top_iff, ← encard_lt_top_iff, h]
| Mathlib/Data/Set/Card.lean | 195 | 196 | theorem infinite_iff_infinite_of_encard_eq_encard (h : s.encard = t.encard) :
s.Infinite ↔ t.Infinite := by | rw [← encard_eq_top_iff, h, encard_eq_top_iff]
|
import Mathlib.Algebra.Module.Submodule.EqLocus
import Mathlib.Algebra.Module.Submodule.RestrictScalars
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.LinearAlgebra.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0"
variable {R R₂ K M M₂ V S : Type*}
namespace Submodule
open Function Set
open Pointwise
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable {x : M} (p p' : Submodule R M)
variable [Semiring R₂] {σ₁₂ : R →+* R₂}
variable [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
section
variable (R)
def span (s : Set M) : Submodule R M :=
sInf { p | s ⊆ p }
#align submodule.span Submodule.span
variable {R}
-- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument
@[mk_iff]
class IsPrincipal (S : Submodule R M) : Prop where
principal' : ∃ a, S = span R {a}
#align submodule.is_principal Submodule.IsPrincipal
theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] :
∃ a, S = span R {a} :=
Submodule.IsPrincipal.principal'
#align submodule.is_principal.principal Submodule.IsPrincipal.principal
end
variable {s t : Set M}
theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p :=
mem_iInter₂
#align submodule.mem_span Submodule.mem_span
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h
#align submodule.subset_span Submodule.subset_span
theorem span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩
#align submodule.span_le Submodule.span_le
theorem span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 <| Subset.trans h subset_span
#align submodule.span_mono Submodule.span_mono
theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono
#align submodule.span_monotone Submodule.span_monotone
theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
#align submodule.span_eq_of_le Submodule.span_eq_of_le
theorem span_eq : span R (p : Set M) = p :=
span_eq_of_le _ (Subset.refl _) subset_span
#align submodule.span_eq Submodule.span_eq
theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t :=
le_antisymm (span_le.2 hs) (span_le.2 ht)
#align submodule.span_eq_span Submodule.span_eq_span
lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) :
(span R (s : Set M) : Set M) = s := by
refine le_antisymm ?_ subset_span
let s' : Submodule R M :=
{ carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
smul_mem' := SMulMemClass.smul_mem }
exact span_le (p := s') |>.mpr le_rfl
@[simp]
theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
span S (p : Set M) = p.restrictScalars S :=
span_eq (p.restrictScalars S)
#align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars
theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) :
f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f)
theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) :=
(image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩
theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) :
(span R s).map f = span R₂ (f '' s) :=
Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s)
#align submodule.map_span Submodule.map_span
alias _root_.LinearMap.map_span := Submodule.map_span
#align linear_map.map_span LinearMap.map_span
theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) :
map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N
#align submodule.map_span_le Submodule.map_span_le
alias _root_.LinearMap.map_span_le := Submodule.map_span_le
#align linear_map.map_span_le LinearMap.map_span_le
@[simp]
| Mathlib/LinearAlgebra/Span.lean | 147 | 150 | theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by |
refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s))
rw [span_le, Set.insert_subset_iff]
exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩
|
import Mathlib.SetTheory.Ordinal.Arithmetic
#align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d"
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
instance pow : Pow Ordinal Ordinal :=
⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩
-- Porting note: Ambiguous notations.
-- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal
theorem opow_def (a b : Ordinal) :
a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b :=
rfl
#align ordinal.opow_def Ordinal.opow_def
-- Porting note: `if_pos rfl` → `if_true`
theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true]
#align ordinal.zero_opow' Ordinal.zero_opow'
@[simp]
theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by
rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero]
#align ordinal.zero_opow Ordinal.zero_opow
@[simp]
theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by
by_cases h : a = 0
· simp only [opow_def, if_pos h, sub_zero]
· simp only [opow_def, if_neg h, limitRecOn_zero]
#align ordinal.opow_zero Ordinal.opow_zero
@[simp]
theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a :=
if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero]
else by simp only [opow_def, limitRecOn_succ, if_neg h]
#align ordinal.opow_succ Ordinal.opow_succ
theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) :
a ^ b = bsup.{u, u} b fun c _ => a ^ c := by
simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h]
#align ordinal.opow_limit Ordinal.opow_limit
theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) :
a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by rw [opow_limit a0 h, bsup_le_iff]
#align ordinal.opow_le_of_limit Ordinal.opow_le_of_limit
theorem lt_opow_of_limit {a b c : Ordinal} (b0 : b ≠ 0) (h : IsLimit c) :
a < b ^ c ↔ ∃ c' < c, a < b ^ c' := by
rw [← not_iff_not, not_exists]; simp only [not_lt, opow_le_of_limit b0 h, exists_prop, not_and]
#align ordinal.lt_opow_of_limit Ordinal.lt_opow_of_limit
@[simp]
theorem opow_one (a : Ordinal) : a ^ (1 : Ordinal) = a := by
rw [← succ_zero, opow_succ]; simp only [opow_zero, one_mul]
#align ordinal.opow_one Ordinal.opow_one
@[simp]
theorem one_opow (a : Ordinal) : (1 : Ordinal) ^ a = 1 := by
induction a using limitRecOn with
| H₁ => simp only [opow_zero]
| H₂ _ ih =>
simp only [opow_succ, ih, mul_one]
| H₃ b l IH =>
refine eq_of_forall_ge_iff fun c => ?_
rw [opow_le_of_limit Ordinal.one_ne_zero l]
exact ⟨fun H => by simpa only [opow_zero] using H 0 l.pos, fun H b' h => by rwa [IH _ h]⟩
#align ordinal.one_opow Ordinal.one_opow
theorem opow_pos {a : Ordinal} (b : Ordinal) (a0 : 0 < a) : 0 < a ^ b := by
have h0 : 0 < a ^ (0 : Ordinal) := by simp only [opow_zero, zero_lt_one]
induction b using limitRecOn with
| H₁ => exact h0
| H₂ b IH =>
rw [opow_succ]
exact mul_pos IH a0
| H₃ b l _ =>
exact (lt_opow_of_limit (Ordinal.pos_iff_ne_zero.1 a0) l).2 ⟨0, l.pos, h0⟩
#align ordinal.opow_pos Ordinal.opow_pos
theorem opow_ne_zero {a : Ordinal} (b : Ordinal) (a0 : a ≠ 0) : a ^ b ≠ 0 :=
Ordinal.pos_iff_ne_zero.1 <| opow_pos b <| Ordinal.pos_iff_ne_zero.2 a0
#align ordinal.opow_ne_zero Ordinal.opow_ne_zero
theorem opow_isNormal {a : Ordinal} (h : 1 < a) : IsNormal (a ^ ·) :=
have a0 : 0 < a := zero_lt_one.trans h
⟨fun b => by simpa only [mul_one, opow_succ] using (mul_lt_mul_iff_left (opow_pos b a0)).2 h,
fun b l c => opow_le_of_limit (ne_of_gt a0) l⟩
#align ordinal.opow_is_normal Ordinal.opow_isNormal
theorem opow_lt_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b < a ^ c ↔ b < c :=
(opow_isNormal a1).lt_iff
#align ordinal.opow_lt_opow_iff_right Ordinal.opow_lt_opow_iff_right
theorem opow_le_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b ≤ a ^ c ↔ b ≤ c :=
(opow_isNormal a1).le_iff
#align ordinal.opow_le_opow_iff_right Ordinal.opow_le_opow_iff_right
theorem opow_right_inj {a b c : Ordinal} (a1 : 1 < a) : a ^ b = a ^ c ↔ b = c :=
(opow_isNormal a1).inj
#align ordinal.opow_right_inj Ordinal.opow_right_inj
theorem opow_isLimit {a b : Ordinal} (a1 : 1 < a) : IsLimit b → IsLimit (a ^ b) :=
(opow_isNormal a1).isLimit
#align ordinal.opow_is_limit Ordinal.opow_isLimit
theorem opow_isLimit_left {a b : Ordinal} (l : IsLimit a) (hb : b ≠ 0) : IsLimit (a ^ b) := by
rcases zero_or_succ_or_limit b with (e | ⟨b, rfl⟩ | l')
· exact absurd e hb
· rw [opow_succ]
exact mul_isLimit (opow_pos _ l.pos) l
· exact opow_isLimit l.one_lt l'
#align ordinal.opow_is_limit_left Ordinal.opow_isLimit_left
theorem opow_le_opow_right {a b c : Ordinal} (h₁ : 0 < a) (h₂ : b ≤ c) : a ^ b ≤ a ^ c := by
rcases lt_or_eq_of_le (one_le_iff_pos.2 h₁) with h₁ | h₁
· exact (opow_le_opow_iff_right h₁).2 h₂
· subst a
-- Porting note: `le_refl` is required.
simp only [one_opow, le_refl]
#align ordinal.opow_le_opow_right Ordinal.opow_le_opow_right
theorem opow_le_opow_left {a b : Ordinal} (c : Ordinal) (ab : a ≤ b) : a ^ c ≤ b ^ c := by
by_cases a0 : a = 0
-- Porting note: `le_refl` is required.
· subst a
by_cases c0 : c = 0
· subst c
simp only [opow_zero, le_refl]
· simp only [zero_opow c0, Ordinal.zero_le]
· induction c using limitRecOn with
| H₁ => simp only [opow_zero, le_refl]
| H₂ c IH =>
simpa only [opow_succ] using mul_le_mul' IH ab
| H₃ c l IH =>
exact
(opow_le_of_limit a0 l).2 fun b' h =>
(IH _ h).trans (opow_le_opow_right ((Ordinal.pos_iff_ne_zero.2 a0).trans_le ab) h.le)
#align ordinal.opow_le_opow_left Ordinal.opow_le_opow_left
theorem left_le_opow (a : Ordinal) {b : Ordinal} (b1 : 0 < b) : a ≤ a ^ b := by
nth_rw 1 [← opow_one a]
cases' le_or_gt a 1 with a1 a1
· rcases lt_or_eq_of_le a1 with a0 | a1
· rw [lt_one_iff_zero] at a0
rw [a0, zero_opow Ordinal.one_ne_zero]
exact Ordinal.zero_le _
rw [a1, one_opow, one_opow]
rwa [opow_le_opow_iff_right a1, one_le_iff_pos]
#align ordinal.left_le_opow Ordinal.left_le_opow
theorem right_le_opow {a : Ordinal} (b : Ordinal) (a1 : 1 < a) : b ≤ a ^ b :=
(opow_isNormal a1).self_le _
#align ordinal.right_le_opow Ordinal.right_le_opow
| Mathlib/SetTheory/Ordinal/Exponential.lean | 180 | 184 | theorem opow_lt_opow_left_of_succ {a b c : Ordinal} (ab : a < b) : a ^ succ c < b ^ succ c := by |
rw [opow_succ, opow_succ]
exact
(mul_le_mul_right' (opow_le_opow_left c ab.le) a).trans_lt
(mul_lt_mul_of_pos_left ab (opow_pos c ((Ordinal.zero_le a).trans_lt ab)))
|
import Mathlib.Data.Matrix.Basis
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.Pi
#align_import linear_algebra.std_basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395"
open Function Set Submodule
namespace LinearMap
variable (R : Type*) {ι : Type*} [Semiring R] (φ : ι → Type*) [∀ i, AddCommMonoid (φ i)]
[∀ i, Module R (φ i)] [DecidableEq ι]
def stdBasis : ∀ i : ι, φ i →ₗ[R] ∀ i, φ i :=
single
#align linear_map.std_basis LinearMap.stdBasis
theorem stdBasis_apply (i : ι) (b : φ i) : stdBasis R φ i b = update (0 : (a : ι) → φ a) i b :=
rfl
#align linear_map.std_basis_apply LinearMap.stdBasis_apply
@[simp]
theorem stdBasis_apply' (i i' : ι) : (stdBasis R (fun _x : ι => R) i) 1 i' = ite (i = i') 1 0 := by
rw [LinearMap.stdBasis_apply, Function.update_apply, Pi.zero_apply]
congr 1; rw [eq_iff_iff, eq_comm]
#align linear_map.std_basis_apply' LinearMap.stdBasis_apply'
theorem coe_stdBasis (i : ι) : ⇑(stdBasis R φ i) = Pi.single i :=
rfl
#align linear_map.coe_std_basis LinearMap.coe_stdBasis
@[simp]
theorem stdBasis_same (i : ι) (b : φ i) : stdBasis R φ i b i = b :=
Pi.single_eq_same i b
#align linear_map.std_basis_same LinearMap.stdBasis_same
theorem stdBasis_ne (i j : ι) (h : j ≠ i) (b : φ i) : stdBasis R φ i b j = 0 :=
Pi.single_eq_of_ne h b
#align linear_map.std_basis_ne LinearMap.stdBasis_ne
theorem stdBasis_eq_pi_diag (i : ι) : stdBasis R φ i = pi (diag i) := by
ext x j
-- Porting note: made types explicit
convert (update_apply (R := R) (φ := φ) (ι := ι) 0 x i j _).symm
rfl
#align linear_map.std_basis_eq_pi_diag LinearMap.stdBasis_eq_pi_diag
theorem ker_stdBasis (i : ι) : ker (stdBasis R φ i) = ⊥ :=
ker_eq_bot_of_injective <| Pi.single_injective _ _
#align linear_map.ker_std_basis LinearMap.ker_stdBasis
theorem proj_comp_stdBasis (i j : ι) : (proj i).comp (stdBasis R φ j) = diag j i := by
rw [stdBasis_eq_pi_diag, proj_pi]
#align linear_map.proj_comp_std_basis LinearMap.proj_comp_stdBasis
theorem proj_stdBasis_same (i : ι) : (proj i).comp (stdBasis R φ i) = id :=
LinearMap.ext <| stdBasis_same R φ i
#align linear_map.proj_std_basis_same LinearMap.proj_stdBasis_same
theorem proj_stdBasis_ne (i j : ι) (h : i ≠ j) : (proj i).comp (stdBasis R φ j) = 0 :=
LinearMap.ext <| stdBasis_ne R φ _ _ h
#align linear_map.proj_std_basis_ne LinearMap.proj_stdBasis_ne
theorem iSup_range_stdBasis_le_iInf_ker_proj (I J : Set ι) (h : Disjoint I J) :
⨆ i ∈ I, range (stdBasis R φ i) ≤ ⨅ i ∈ J, ker (proj i : (∀ i, φ i) →ₗ[R] φ i) := by
refine iSup_le fun i => iSup_le fun hi => range_le_iff_comap.2 ?_
simp only [← ker_comp, eq_top_iff, SetLike.le_def, mem_ker, comap_iInf, mem_iInf]
rintro b - j hj
rw [proj_stdBasis_ne R φ j i, zero_apply]
rintro rfl
exact h.le_bot ⟨hi, hj⟩
#align linear_map.supr_range_std_basis_le_infi_ker_proj LinearMap.iSup_range_stdBasis_le_iInf_ker_proj
theorem iInf_ker_proj_le_iSup_range_stdBasis {I : Finset ι} {J : Set ι} (hu : Set.univ ⊆ ↑I ∪ J) :
⨅ i ∈ J, ker (proj i : (∀ i, φ i) →ₗ[R] φ i) ≤ ⨆ i ∈ I, range (stdBasis R φ i) :=
SetLike.le_def.2
(by
intro b hb
simp only [mem_iInf, mem_ker, proj_apply] at hb
rw [←
show (∑ i ∈ I, stdBasis R φ i (b i)) = b by
ext i
rw [Finset.sum_apply, ← stdBasis_same R φ i (b i)]
refine Finset.sum_eq_single i (fun j _ ne => stdBasis_ne _ _ _ _ ne.symm _) ?_
intro hiI
rw [stdBasis_same]
exact hb _ ((hu trivial).resolve_left hiI)]
exact sum_mem_biSup fun i _ => mem_range_self (stdBasis R φ i) (b i))
#align linear_map.infi_ker_proj_le_supr_range_std_basis LinearMap.iInf_ker_proj_le_iSup_range_stdBasis
theorem iSup_range_stdBasis_eq_iInf_ker_proj {I J : Set ι} (hd : Disjoint I J)
(hu : Set.univ ⊆ I ∪ J) (hI : Set.Finite I) :
⨆ i ∈ I, range (stdBasis R φ i) = ⨅ i ∈ J, ker (proj i : (∀ i, φ i) →ₗ[R] φ i) := by
refine le_antisymm (iSup_range_stdBasis_le_iInf_ker_proj _ _ _ _ hd) ?_
have : Set.univ ⊆ ↑hI.toFinset ∪ J := by rwa [hI.coe_toFinset]
refine le_trans (iInf_ker_proj_le_iSup_range_stdBasis R φ this) (iSup_mono fun i => ?_)
rw [Set.Finite.mem_toFinset]
#align linear_map.supr_range_std_basis_eq_infi_ker_proj LinearMap.iSup_range_stdBasis_eq_iInf_ker_proj
theorem iSup_range_stdBasis [Finite ι] : ⨆ i, range (stdBasis R φ i) = ⊤ := by
cases nonempty_fintype ι
convert top_unique (iInf_emptyset.ge.trans <| iInf_ker_proj_le_iSup_range_stdBasis R φ _)
· rename_i i
exact ((@iSup_pos _ _ _ fun _ => range <| stdBasis R φ i) <| Finset.mem_univ i).symm
· rw [Finset.coe_univ, Set.union_empty]
#align linear_map.supr_range_std_basis LinearMap.iSup_range_stdBasis
| Mathlib/LinearAlgebra/StdBasis.lean | 140 | 153 | theorem disjoint_stdBasis_stdBasis (I J : Set ι) (h : Disjoint I J) :
Disjoint (⨆ i ∈ I, range (stdBasis R φ i)) (⨆ i ∈ J, range (stdBasis R φ i)) := by |
refine
Disjoint.mono (iSup_range_stdBasis_le_iInf_ker_proj _ _ _ _ <| disjoint_compl_right)
(iSup_range_stdBasis_le_iInf_ker_proj _ _ _ _ <| disjoint_compl_right) ?_
simp only [disjoint_iff_inf_le, SetLike.le_def, mem_iInf, mem_inf, mem_ker, mem_bot, proj_apply,
funext_iff]
rintro b ⟨hI, hJ⟩ i
classical
by_cases hiI : i ∈ I
· by_cases hiJ : i ∈ J
· exact (h.le_bot ⟨hiI, hiJ⟩).elim
· exact hJ i hiJ
· exact hI i hiI
|
import Mathlib.Data.List.Infix
#align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ)
namespace List
def rdrop : List α :=
l.take (l.length - n)
#align list.rdrop List.rdrop
@[simp]
theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop]
#align list.rdrop_nil List.rdrop_nil
@[simp]
theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop]
#align list.rdrop_zero List.rdrop_zero
theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by
rw [rdrop]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· simp [take_append]
· simp [take_append_eq_append_take, IH]
#align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse
@[simp]
theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by
simp [rdrop_eq_reverse_drop_reverse]
#align list.rdrop_concat_succ List.rdrop_concat_succ
def rtake : List α :=
l.drop (l.length - n)
#align list.rtake List.rtake
@[simp]
theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake]
#align list.rtake_nil List.rtake_nil
@[simp]
theorem rtake_zero : rtake l 0 = [] := by simp [rtake]
#align list.rtake_zero List.rtake_zero
theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by
rw [rtake]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· exact drop_length _
· simp [drop_append_eq_append_drop, IH]
#align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse
@[simp]
theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by
simp [rtake_eq_reverse_take_reverse]
#align list.rtake_concat_succ List.rtake_concat_succ
def rdropWhile : List α :=
reverse (l.reverse.dropWhile p)
#align list.rdrop_while List.rdropWhile
@[simp]
theorem rdropWhile_nil : rdropWhile p ([] : List α) = [] := by simp [rdropWhile, dropWhile]
#align list.rdrop_while_nil List.rdropWhile_nil
theorem rdropWhile_concat (x : α) :
rdropWhile p (l ++ [x]) = if p x then rdropWhile p l else l ++ [x] := by
simp only [rdropWhile, dropWhile, reverse_append, reverse_singleton, singleton_append]
split_ifs with h <;> simp [h]
#align list.rdrop_while_concat List.rdropWhile_concat
@[simp]
theorem rdropWhile_concat_pos (x : α) (h : p x) : rdropWhile p (l ++ [x]) = rdropWhile p l := by
rw [rdropWhile_concat, if_pos h]
#align list.rdrop_while_concat_pos List.rdropWhile_concat_pos
@[simp]
theorem rdropWhile_concat_neg (x : α) (h : ¬p x) : rdropWhile p (l ++ [x]) = l ++ [x] := by
rw [rdropWhile_concat, if_neg h]
#align list.rdrop_while_concat_neg List.rdropWhile_concat_neg
theorem rdropWhile_singleton (x : α) : rdropWhile p [x] = if p x then [] else [x] := by
rw [← nil_append [x], rdropWhile_concat, rdropWhile_nil]
#align list.rdrop_while_singleton List.rdropWhile_singleton
theorem rdropWhile_last_not (hl : l.rdropWhile p ≠ []) : ¬p ((rdropWhile p l).getLast hl) := by
simp_rw [rdropWhile]
rw [getLast_reverse]
exact dropWhile_nthLe_zero_not _ _ _
#align list.rdrop_while_last_not List.rdropWhile_last_not
| Mathlib/Data/List/DropRight.lean | 131 | 133 | theorem rdropWhile_prefix : l.rdropWhile p <+: l := by |
rw [← reverse_suffix, rdropWhile, reverse_reverse]
exact dropWhile_suffix _
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap
import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.MeasureTheory.Constructions.Polish
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn
#align_import measure_theory.function.jacobian from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5"
open MeasureTheory MeasureTheory.Measure Metric Filter Set FiniteDimensional Asymptotics
TopologicalSpace
open scoped NNReal ENNReal Topology Pointwise
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] {s : Set E} {f : E → E} {f' : E → E →L[ℝ] E}
theorem exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F]
(f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x)
(r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F),
(∀ n, IsClosed (t n)) ∧
(s ⊆ ⋃ n, t n) ∧
(∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by
-- exclude the trivial case where `s` is empty
rcases eq_empty_or_nonempty s with (rfl | hs)
· refine ⟨fun _ => ∅, fun _ => 0, ?_, ?_, ?_, ?_⟩ <;> simp
-- we will use countably many linear maps. Select these from all the derivatives since the
-- space of linear maps is second-countable
obtain ⟨T, T_count, hT⟩ :
∃ T : Set s,
T.Countable ∧ ⋃ x ∈ T, ball (f' (x : E)) (r (f' x)) = ⋃ x : s, ball (f' x) (r (f' x)) :=
TopologicalSpace.isOpen_iUnion_countable _ fun x => isOpen_ball
-- fix a sequence `u` of positive reals tending to zero.
obtain ⟨u, _, u_pos, u_lim⟩ :
∃ u : ℕ → ℝ, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
exists_seq_strictAnti_tendsto (0 : ℝ)
-- `M n z` is the set of points `x` such that `f y - f x` is close to `f' z (y - x)` for `y`
-- in the ball of radius `u n` around `x`.
let M : ℕ → T → Set E := fun n z =>
{x | x ∈ s ∧ ∀ y ∈ s ∩ ball x (u n), ‖f y - f x - f' z (y - x)‖ ≤ r (f' z) * ‖y - x‖}
-- As `f` is differentiable everywhere on `s`, the sets `M n z` cover `s` by design.
have s_subset : ∀ x ∈ s, ∃ (n : ℕ) (z : T), x ∈ M n z := by
intro x xs
obtain ⟨z, zT, hz⟩ : ∃ z ∈ T, f' x ∈ ball (f' (z : E)) (r (f' z)) := by
have : f' x ∈ ⋃ z ∈ T, ball (f' (z : E)) (r (f' z)) := by
rw [hT]
refine mem_iUnion.2 ⟨⟨x, xs⟩, ?_⟩
simpa only [mem_ball, Subtype.coe_mk, dist_self] using (rpos (f' x)).bot_lt
rwa [mem_iUnion₂, bex_def] at this
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ ‖f' x - f' z‖ + ε ≤ r (f' z) := by
refine ⟨r (f' z) - ‖f' x - f' z‖, ?_, le_of_eq (by abel)⟩
simpa only [sub_pos] using mem_ball_iff_norm.mp hz
obtain ⟨δ, δpos, hδ⟩ :
∃ (δ : ℝ), 0 < δ ∧ ball x δ ∩ s ⊆ {y | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} :=
Metric.mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos)
obtain ⟨n, hn⟩ : ∃ n, u n < δ := ((tendsto_order.1 u_lim).2 _ δpos).exists
refine ⟨n, ⟨z, zT⟩, ⟨xs, ?_⟩⟩
intro y hy
calc
‖f y - f x - (f' z) (y - x)‖ = ‖f y - f x - (f' x) (y - x) + (f' x - f' z) (y - x)‖ := by
congr 1
simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply]
abel
_ ≤ ‖f y - f x - (f' x) (y - x)‖ + ‖(f' x - f' z) (y - x)‖ := norm_add_le _ _
_ ≤ ε * ‖y - x‖ + ‖f' x - f' z‖ * ‖y - x‖ := by
refine add_le_add (hδ ?_) (ContinuousLinearMap.le_opNorm _ _)
rw [inter_comm]
exact inter_subset_inter_right _ (ball_subset_ball hn.le) hy
_ ≤ r (f' z) * ‖y - x‖ := by
rw [← add_mul, add_comm]
gcongr
-- the sets `M n z` are relatively closed in `s`, as all the conditions defining it are clearly
-- closed
have closure_M_subset : ∀ n z, s ∩ closure (M n z) ⊆ M n z := by
rintro n z x ⟨xs, hx⟩
refine ⟨xs, fun y hy => ?_⟩
obtain ⟨a, aM, a_lim⟩ : ∃ a : ℕ → E, (∀ k, a k ∈ M n z) ∧ Tendsto a atTop (𝓝 x) :=
mem_closure_iff_seq_limit.1 hx
have L1 :
Tendsto (fun k : ℕ => ‖f y - f (a k) - (f' z) (y - a k)‖) atTop
(𝓝 ‖f y - f x - (f' z) (y - x)‖) := by
apply Tendsto.norm
have L : Tendsto (fun k => f (a k)) atTop (𝓝 (f x)) := by
apply (hf' x xs).continuousWithinAt.tendsto.comp
apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ a_lim
exact eventually_of_forall fun k => (aM k).1
apply Tendsto.sub (tendsto_const_nhds.sub L)
exact ((f' z).continuous.tendsto _).comp (tendsto_const_nhds.sub a_lim)
have L2 : Tendsto (fun k : ℕ => (r (f' z) : ℝ) * ‖y - a k‖) atTop (𝓝 (r (f' z) * ‖y - x‖)) :=
(tendsto_const_nhds.sub a_lim).norm.const_mul _
have I : ∀ᶠ k in atTop, ‖f y - f (a k) - (f' z) (y - a k)‖ ≤ r (f' z) * ‖y - a k‖ := by
have L : Tendsto (fun k => dist y (a k)) atTop (𝓝 (dist y x)) :=
tendsto_const_nhds.dist a_lim
filter_upwards [(tendsto_order.1 L).2 _ hy.2]
intro k hk
exact (aM k).2 y ⟨hy.1, hk⟩
exact le_of_tendsto_of_tendsto L1 L2 I
-- choose a dense sequence `d p`
rcases TopologicalSpace.exists_dense_seq E with ⟨d, hd⟩
-- split `M n z` into subsets `K n z p` of small diameters by intersecting with the ball
-- `closedBall (d p) (u n / 3)`.
let K : ℕ → T → ℕ → Set E := fun n z p => closure (M n z) ∩ closedBall (d p) (u n / 3)
-- on the sets `K n z p`, the map `f` is well approximated by `f' z` by design.
have K_approx : ∀ (n) (z : T) (p), ApproximatesLinearOn f (f' z) (s ∩ K n z p) (r (f' z)) := by
intro n z p x hx y hy
have yM : y ∈ M n z := closure_M_subset _ _ ⟨hy.1, hy.2.1⟩
refine yM.2 _ ⟨hx.1, ?_⟩
calc
dist x y ≤ dist x (d p) + dist y (d p) := dist_triangle_right _ _ _
_ ≤ u n / 3 + u n / 3 := add_le_add hx.2.2 hy.2.2
_ < u n := by linarith [u_pos n]
-- the sets `K n z p` are also closed, again by design.
have K_closed : ∀ (n) (z : T) (p), IsClosed (K n z p) := fun n z p =>
isClosed_closure.inter isClosed_ball
-- reindex the sets `K n z p`, to let them only depend on an integer parameter `q`.
obtain ⟨F, hF⟩ : ∃ F : ℕ → ℕ × T × ℕ, Function.Surjective F := by
haveI : Encodable T := T_count.toEncodable
have : Nonempty T := by
rcases hs with ⟨x, xs⟩
rcases s_subset x xs with ⟨n, z, _⟩
exact ⟨z⟩
inhabit ↥T
exact ⟨_, Encodable.surjective_decode_iget (ℕ × T × ℕ)⟩
-- these sets `t q = K n z p` will do
refine
⟨fun q => K (F q).1 (F q).2.1 (F q).2.2, fun q => f' (F q).2.1, fun n => K_closed _ _ _,
fun x xs => ?_, fun q => K_approx _ _ _, fun _ q => ⟨(F q).2.1, (F q).2.1.1.2, rfl⟩⟩
-- the only fact that needs further checking is that they cover `s`.
-- we already know that any point `x ∈ s` belongs to a set `M n z`.
obtain ⟨n, z, hnz⟩ : ∃ (n : ℕ) (z : T), x ∈ M n z := s_subset x xs
-- by density, it also belongs to a ball `closedBall (d p) (u n / 3)`.
obtain ⟨p, hp⟩ : ∃ p : ℕ, x ∈ closedBall (d p) (u n / 3) := by
have : Set.Nonempty (ball x (u n / 3)) := by simp only [nonempty_ball]; linarith [u_pos n]
obtain ⟨p, hp⟩ : ∃ p : ℕ, d p ∈ ball x (u n / 3) := hd.exists_mem_open isOpen_ball this
exact ⟨p, (mem_ball'.1 hp).le⟩
-- choose `q` for which `t q = K n z p`.
obtain ⟨q, hq⟩ : ∃ q, F q = (n, z, p) := hF _
-- then `x` belongs to `t q`.
apply mem_iUnion.2 ⟨q, _⟩
simp (config := { zeta := false }) only [K, hq, mem_inter_iff, hp, and_true]
exact subset_closure hnz
#align exists_closed_cover_approximates_linear_on_of_has_fderiv_within_at exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt
variable [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ]
theorem exists_partition_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F]
(f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x)
(r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F),
Pairwise (Disjoint on t) ∧
(∀ n, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n, t n) ∧
(∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by
rcases exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' r rpos with
⟨t, A, t_closed, st, t_approx, ht⟩
refine
⟨disjointed t, A, disjoint_disjointed _,
MeasurableSet.disjointed fun n => (t_closed n).measurableSet, ?_, ?_, ht⟩
· rw [iUnion_disjointed]; exact st
· intro n; exact (t_approx n).mono_set (inter_subset_inter_right _ (disjointed_subset _ _))
#align exists_partition_approximates_linear_on_of_has_fderiv_within_at exists_partition_approximatesLinearOn_of_hasFDerivWithinAt
namespace MeasureTheory
theorem addHaar_image_le_mul_of_det_lt (A : E →L[ℝ] E) {m : ℝ≥0}
(hm : ENNReal.ofReal |A.det| < m) :
∀ᶠ δ in 𝓝[>] (0 : ℝ≥0),
∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → μ (f '' s) ≤ m * μ s := by
apply nhdsWithin_le_nhds
let d := ENNReal.ofReal |A.det|
-- construct a small neighborhood of `A '' (closedBall 0 1)` with measure comparable to
-- the determinant of `A`.
obtain ⟨ε, hε, εpos⟩ :
∃ ε : ℝ, μ (closedBall 0 ε + A '' closedBall 0 1) < m * μ (closedBall 0 1) ∧ 0 < ε := by
have HC : IsCompact (A '' closedBall 0 1) :=
(ProperSpace.isCompact_closedBall _ _).image A.continuous
have L0 :
Tendsto (fun ε => μ (cthickening ε (A '' closedBall 0 1))) (𝓝[>] 0)
(𝓝 (μ (A '' closedBall 0 1))) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
exact tendsto_measure_cthickening_of_isCompact HC
have L1 :
Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0)
(𝓝 (μ (A '' closedBall 0 1))) := by
apply L0.congr' _
filter_upwards [self_mem_nhdsWithin] with r hr
rw [← HC.add_closedBall_zero (le_of_lt hr), add_comm]
have L2 :
Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0)
(𝓝 (d * μ (closedBall 0 1))) := by
convert L1
exact (addHaar_image_continuousLinearMap _ _ _).symm
have I : d * μ (closedBall 0 1) < m * μ (closedBall 0 1) :=
(ENNReal.mul_lt_mul_right (measure_closedBall_pos μ _ zero_lt_one).ne'
measure_closedBall_lt_top.ne).2
hm
have H :
∀ᶠ b : ℝ in 𝓝[>] 0, μ (closedBall 0 b + A '' closedBall 0 1) < m * μ (closedBall 0 1) :=
(tendsto_order.1 L2).2 _ I
exact (H.and self_mem_nhdsWithin).exists
have : Iio (⟨ε, εpos.le⟩ : ℝ≥0) ∈ 𝓝 (0 : ℝ≥0) := by apply Iio_mem_nhds; exact εpos
filter_upwards [this]
-- fix a function `f` which is close enough to `A`.
intro δ hδ s f hf
simp only [mem_Iio, ← NNReal.coe_lt_coe, NNReal.coe_mk] at hδ
-- This function expands the volume of any ball by at most `m`
have I : ∀ x r, x ∈ s → 0 ≤ r → μ (f '' (s ∩ closedBall x r)) ≤ m * μ (closedBall x r) := by
intro x r xs r0
have K : f '' (s ∩ closedBall x r) ⊆ A '' closedBall 0 r + closedBall (f x) (ε * r) := by
rintro y ⟨z, ⟨zs, zr⟩, rfl⟩
rw [mem_closedBall_iff_norm] at zr
apply Set.mem_add.2 ⟨A (z - x), _, f z - f x - A (z - x) + f x, _, _⟩
· apply mem_image_of_mem
simpa only [dist_eq_norm, mem_closedBall, mem_closedBall_zero_iff, sub_zero] using zr
· rw [mem_closedBall_iff_norm, add_sub_cancel_right]
calc
‖f z - f x - A (z - x)‖ ≤ δ * ‖z - x‖ := hf _ zs _ xs
_ ≤ ε * r := by gcongr
· simp only [map_sub, Pi.sub_apply]
abel
have :
A '' closedBall 0 r + closedBall (f x) (ε * r) =
{f x} + r • (A '' closedBall 0 1 + closedBall 0 ε) := by
rw [smul_add, ← add_assoc, add_comm {f x}, add_assoc, smul_closedBall _ _ εpos.le, smul_zero,
singleton_add_closedBall_zero, ← image_smul_set ℝ E E A, smul_closedBall _ _ zero_le_one,
smul_zero, Real.norm_eq_abs, abs_of_nonneg r0, mul_one, mul_comm]
rw [this] at K
calc
μ (f '' (s ∩ closedBall x r)) ≤ μ ({f x} + r • (A '' closedBall 0 1 + closedBall 0 ε)) :=
measure_mono K
_ = ENNReal.ofReal (r ^ finrank ℝ E) * μ (A '' closedBall 0 1 + closedBall 0 ε) := by
simp only [abs_of_nonneg r0, addHaar_smul, image_add_left, abs_pow, singleton_add,
measure_preimage_add]
_ ≤ ENNReal.ofReal (r ^ finrank ℝ E) * (m * μ (closedBall 0 1)) := by
rw [add_comm]; gcongr
_ = m * μ (closedBall x r) := by simp only [addHaar_closedBall' μ _ r0]; ring
-- covering `s` by closed balls with total measure very close to `μ s`, one deduces that the
-- measure of `f '' s` is at most `m * (μ s + a)` for any positive `a`.
have J : ∀ᶠ a in 𝓝[>] (0 : ℝ≥0∞), μ (f '' s) ≤ m * (μ s + a) := by
filter_upwards [self_mem_nhdsWithin] with a ha
rw [mem_Ioi] at ha
obtain ⟨t, r, t_count, ts, rpos, st, μt⟩ :
∃ (t : Set E) (r : E → ℝ),
t.Countable ∧
t ⊆ s ∧
(∀ x : E, x ∈ t → 0 < r x) ∧
(s ⊆ ⋃ x ∈ t, closedBall x (r x)) ∧
(∑' x : ↥t, μ (closedBall (↑x) (r ↑x))) ≤ μ s + a :=
Besicovitch.exists_closedBall_covering_tsum_measure_le μ ha.ne' (fun _ => Ioi 0) s
fun x _ δ δpos => ⟨δ / 2, by simp [half_pos δpos, δpos]⟩
haveI : Encodable t := t_count.toEncodable
calc
μ (f '' s) ≤ μ (⋃ x : t, f '' (s ∩ closedBall x (r x))) := by
rw [biUnion_eq_iUnion] at st
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset _ (subset_inter (Subset.refl _) st)
_ ≤ ∑' x : t, μ (f '' (s ∩ closedBall x (r x))) := measure_iUnion_le _
_ ≤ ∑' x : t, m * μ (closedBall x (r x)) :=
(ENNReal.tsum_le_tsum fun x => I x (r x) (ts x.2) (rpos x x.2).le)
_ ≤ m * (μ s + a) := by rw [ENNReal.tsum_mul_left]; gcongr
-- taking the limit in `a`, one obtains the conclusion
have L : Tendsto (fun a => (m : ℝ≥0∞) * (μ s + a)) (𝓝[>] 0) (𝓝 (m * (μ s + 0))) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
apply ENNReal.Tendsto.const_mul (tendsto_const_nhds.add tendsto_id)
simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff]
rw [add_zero] at L
exact ge_of_tendsto L J
#align measure_theory.add_haar_image_le_mul_of_det_lt MeasureTheory.addHaar_image_le_mul_of_det_lt
theorem mul_le_addHaar_image_of_lt_det (A : E →L[ℝ] E) {m : ℝ≥0}
(hm : (m : ℝ≥0∞) < ENNReal.ofReal |A.det|) :
∀ᶠ δ in 𝓝[>] (0 : ℝ≥0),
∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → (m : ℝ≥0∞) * μ s ≤ μ (f '' s) := by
apply nhdsWithin_le_nhds
-- The assumption `hm` implies that `A` is invertible. If `f` is close enough to `A`, it is also
-- invertible. One can then pass to the inverses, and deduce the estimate from
-- `addHaar_image_le_mul_of_det_lt` applied to `f⁻¹` and `A⁻¹`.
-- exclude first the trivial case where `m = 0`.
rcases eq_or_lt_of_le (zero_le m) with (rfl | mpos)
· filter_upwards
simp only [forall_const, zero_mul, imp_true_iff, zero_le, ENNReal.coe_zero]
have hA : A.det ≠ 0 := by
intro h; simp only [h, ENNReal.not_lt_zero, ENNReal.ofReal_zero, abs_zero] at hm
-- let `B` be the continuous linear equiv version of `A`.
let B := A.toContinuousLinearEquivOfDetNeZero hA
-- the determinant of `B.symm` is bounded by `m⁻¹`
have I : ENNReal.ofReal |(B.symm : E →L[ℝ] E).det| < (m⁻¹ : ℝ≥0) := by
simp only [ENNReal.ofReal, abs_inv, Real.toNNReal_inv, ContinuousLinearEquiv.det_coe_symm,
ContinuousLinearMap.coe_toContinuousLinearEquivOfDetNeZero, ENNReal.coe_lt_coe] at hm ⊢
exact NNReal.inv_lt_inv mpos.ne' hm
-- therefore, we may apply `addHaar_image_le_mul_of_det_lt` to `B.symm` and `m⁻¹`.
obtain ⟨δ₀, δ₀pos, hδ₀⟩ :
∃ δ : ℝ≥0,
0 < δ ∧
∀ (t : Set E) (g : E → E),
ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t := by
have :
∀ᶠ δ : ℝ≥0 in 𝓝[>] 0,
∀ (t : Set E) (g : E → E),
ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t :=
addHaar_image_le_mul_of_det_lt μ B.symm I
rcases (this.and self_mem_nhdsWithin).exists with ⟨δ₀, h, h'⟩
exact ⟨δ₀, h', h⟩
-- record smallness conditions for `δ` that will be needed to apply `hδ₀` below.
have L1 : ∀ᶠ δ in 𝓝 (0 : ℝ≥0), Subsingleton E ∨ δ < ‖(B.symm : E →L[ℝ] E)‖₊⁻¹ := by
by_cases h : Subsingleton E
· simp only [h, true_or_iff, eventually_const]
simp only [h, false_or_iff]
apply Iio_mem_nhds
simpa only [h, false_or_iff, inv_pos] using B.subsingleton_or_nnnorm_symm_pos
have L2 :
∀ᶠ δ in 𝓝 (0 : ℝ≥0), ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ < δ₀ := by
have :
Tendsto (fun δ => ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ) (𝓝 0)
(𝓝 (‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - 0)⁻¹ * 0)) := by
rcases eq_or_ne ‖(B.symm : E →L[ℝ] E)‖₊ 0 with (H | H)
· simpa only [H, zero_mul] using tendsto_const_nhds
refine Tendsto.mul (tendsto_const_nhds.mul ?_) tendsto_id
refine (Tendsto.sub tendsto_const_nhds tendsto_id).inv₀ ?_
simpa only [tsub_zero, inv_eq_zero, Ne] using H
simp only [mul_zero] at this
exact (tendsto_order.1 this).2 δ₀ δ₀pos
-- let `δ` be small enough, and `f` approximated by `B` up to `δ`.
filter_upwards [L1, L2]
intro δ h1δ h2δ s f hf
have hf' : ApproximatesLinearOn f (B : E →L[ℝ] E) s δ := by convert hf
let F := hf'.toPartialEquiv h1δ
-- the condition to be checked can be reformulated in terms of the inverse maps
suffices H : μ (F.symm '' F.target) ≤ (m⁻¹ : ℝ≥0) * μ F.target by
change (m : ℝ≥0∞) * μ F.source ≤ μ F.target
rwa [← F.symm_image_target_eq_source, mul_comm, ← ENNReal.le_div_iff_mul_le, div_eq_mul_inv,
mul_comm, ← ENNReal.coe_inv mpos.ne']
· apply Or.inl
simpa only [ENNReal.coe_eq_zero, Ne] using mpos.ne'
· simp only [ENNReal.coe_ne_top, true_or_iff, Ne, not_false_iff]
-- as `f⁻¹` is well approximated by `B⁻¹`, the conclusion follows from `hδ₀`
-- and our choice of `δ`.
exact hδ₀ _ _ ((hf'.to_inv h1δ).mono_num h2δ.le)
#align measure_theory.mul_le_add_haar_image_of_lt_det MeasureTheory.mul_le_addHaar_image_of_lt_det
theorem _root_.ApproximatesLinearOn.norm_fderiv_sub_le {A : E →L[ℝ] E} {δ : ℝ≥0}
(hf : ApproximatesLinearOn f A s δ) (hs : MeasurableSet s) (f' : E → E →L[ℝ] E)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) : ∀ᵐ x ∂μ.restrict s, ‖f' x - A‖₊ ≤ δ := by
filter_upwards [Besicovitch.ae_tendsto_measure_inter_div μ s, ae_restrict_mem hs]
-- start from a Lebesgue density point `x`, belonging to `s`.
intro x hx xs
-- consider an arbitrary vector `z`.
apply ContinuousLinearMap.opNorm_le_bound _ δ.2 fun z => ?_
-- to show that `‖(f' x - A) z‖ ≤ δ ‖z‖`, it suffices to do it up to some error that vanishes
-- asymptotically in terms of `ε > 0`.
suffices H : ∀ ε, 0 < ε → ‖(f' x - A) z‖ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε by
have :
Tendsto (fun ε : ℝ => ((δ : ℝ) + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε) (𝓝[>] 0)
(𝓝 ((δ + 0) * (‖z‖ + 0) + ‖f' x - A‖ * 0)) :=
Tendsto.mono_left (Continuous.tendsto (by continuity) 0) nhdsWithin_le_nhds
simp only [add_zero, mul_zero] at this
apply le_of_tendsto_of_tendsto tendsto_const_nhds this
filter_upwards [self_mem_nhdsWithin]
exact H
-- fix a positive `ε`.
intro ε εpos
-- for small enough `r`, the rescaled ball `r • closedBall z ε` intersects `s`, as `x` is a
-- density point
have B₁ : ∀ᶠ r in 𝓝[>] (0 : ℝ), (s ∩ ({x} + r • closedBall z ε)).Nonempty :=
eventually_nonempty_inter_smul_of_density_one μ s x hx _ measurableSet_closedBall
(measure_closedBall_pos μ z εpos).ne'
obtain ⟨ρ, ρpos, hρ⟩ :
∃ ρ > 0, ball x ρ ∩ s ⊆ {y : E | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} :=
mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos)
-- for small enough `r`, the rescaled ball `r • closedBall z ε` is included in the set where
-- `f y - f x` is well approximated by `f' x (y - x)`.
have B₂ : ∀ᶠ r in 𝓝[>] (0 : ℝ), {x} + r • closedBall z ε ⊆ ball x ρ := by
apply nhdsWithin_le_nhds
exact eventually_singleton_add_smul_subset isBounded_closedBall (ball_mem_nhds x ρpos)
-- fix a small positive `r` satisfying the above properties, as well as a corresponding `y`.
obtain ⟨r, ⟨y, ⟨ys, hy⟩⟩, rρ, rpos⟩ :
∃ r : ℝ,
(s ∩ ({x} + r • closedBall z ε)).Nonempty ∧ {x} + r • closedBall z ε ⊆ ball x ρ ∧ 0 < r :=
(B₁.and (B₂.and self_mem_nhdsWithin)).exists
-- write `y = x + r a` with `a ∈ closedBall z ε`.
obtain ⟨a, az, ya⟩ : ∃ a, a ∈ closedBall z ε ∧ y = x + r • a := by
simp only [mem_smul_set, image_add_left, mem_preimage, singleton_add] at hy
rcases hy with ⟨a, az, ha⟩
exact ⟨a, az, by simp only [ha, add_neg_cancel_left]⟩
have norm_a : ‖a‖ ≤ ‖z‖ + ε :=
calc
‖a‖ = ‖z + (a - z)‖ := by simp only [add_sub_cancel]
_ ≤ ‖z‖ + ‖a - z‖ := norm_add_le _ _
_ ≤ ‖z‖ + ε := add_le_add_left (mem_closedBall_iff_norm.1 az) _
-- use the approximation properties to control `(f' x - A) a`, and then `(f' x - A) z` as `z` is
-- close to `a`.
have I : r * ‖(f' x - A) a‖ ≤ r * (δ + ε) * (‖z‖ + ε) :=
calc
r * ‖(f' x - A) a‖ = ‖(f' x - A) (r • a)‖ := by
simp only [ContinuousLinearMap.map_smul, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le]
_ = ‖f y - f x - A (y - x) - (f y - f x - (f' x) (y - x))‖ := by
congr 1
simp only [ya, add_sub_cancel_left, sub_sub_sub_cancel_left, ContinuousLinearMap.coe_sub',
eq_self_iff_true, sub_left_inj, Pi.sub_apply, ContinuousLinearMap.map_smul, smul_sub]
_ ≤ ‖f y - f x - A (y - x)‖ + ‖f y - f x - (f' x) (y - x)‖ := norm_sub_le _ _
_ ≤ δ * ‖y - x‖ + ε * ‖y - x‖ := (add_le_add (hf _ ys _ xs) (hρ ⟨rρ hy, ys⟩))
_ = r * (δ + ε) * ‖a‖ := by
simp only [ya, add_sub_cancel_left, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le]
ring
_ ≤ r * (δ + ε) * (‖z‖ + ε) := by gcongr
calc
‖(f' x - A) z‖ = ‖(f' x - A) a + (f' x - A) (z - a)‖ := by
congr 1
simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply]
abel
_ ≤ ‖(f' x - A) a‖ + ‖(f' x - A) (z - a)‖ := norm_add_le _ _
_ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ‖z - a‖ := by
apply add_le_add
· rw [mul_assoc] at I; exact (mul_le_mul_left rpos).1 I
· apply ContinuousLinearMap.le_opNorm
_ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε := by
rw [mem_closedBall_iff_norm'] at az
gcongr
#align approximates_linear_on.norm_fderiv_sub_le ApproximatesLinearOn.norm_fderiv_sub_le
theorem addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero (hf : DifferentiableOn ℝ f s)
(hs : μ s = 0) : μ (f '' s) = 0 := by
refine le_antisymm ?_ (zero_le _)
have :
∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧
∀ (t : Set E), ApproximatesLinearOn f A t δ →
μ (f '' t) ≤ (Real.toNNReal |A.det| + 1 : ℝ≥0) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + 1
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, zero_lt_one, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩
exact ⟨δ, h', fun t ht => h t f ht⟩
choose δ hδ using this
obtain ⟨t, A, _, _, t_cover, ht, -⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = fderivWithin ℝ f s y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s (fderivWithin ℝ f s)
(fun x xs => (hf x xs).hasFDerivWithinAt) δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset f (subset_inter Subset.rfl t_cover)
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (Real.toNNReal |(A n).det| + 1 : ℝ≥0) * μ (s ∩ t n) := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply (hδ (A n)).2
exact ht n
_ ≤ ∑' n, ((Real.toNNReal |(A n).det| + 1 : ℝ≥0) : ℝ≥0∞) * 0 := by
refine ENNReal.tsum_le_tsum fun n => mul_le_mul_left' ?_ _
exact le_trans (measure_mono inter_subset_left) (le_of_eq hs)
_ = 0 := by simp only [tsum_zero, mul_zero]
#align measure_theory.add_haar_image_eq_zero_of_differentiable_on_of_add_haar_eq_zero MeasureTheory.addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero
theorem addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (R : ℝ) (hs : s ⊆ closedBall 0 R) (ε : ℝ≥0)
(εpos : 0 < ε) (h'f' : ∀ x ∈ s, (f' x).det = 0) : μ (f '' s) ≤ ε * μ (closedBall 0 R) := by
rcases eq_empty_or_nonempty s with (rfl | h's); · simp only [measure_empty, zero_le, image_empty]
have :
∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧
∀ (t : Set E), ApproximatesLinearOn f A t δ →
μ (f '' t) ≤ (Real.toNNReal |A.det| + ε : ℝ≥0) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + ε
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, εpos, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩
exact ⟨δ, h', fun t ht => h t f ht⟩
choose δ hδ using this
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, Af'⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
rw [← image_iUnion, ← inter_iUnion]
gcongr
exact subset_inter Subset.rfl t_cover
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (Real.toNNReal |(A n).det| + ε : ℝ≥0) * μ (s ∩ t n) := by
gcongr
exact (hδ (A _)).2 _ (ht _)
_ = ∑' n, ε * μ (s ∩ t n) := by
congr with n
rcases Af' h's n with ⟨y, ys, hy⟩
simp only [hy, h'f' y ys, Real.toNNReal_zero, abs_zero, zero_add]
_ ≤ ε * ∑' n, μ (closedBall 0 R ∩ t n) := by
rw [ENNReal.tsum_mul_left]
gcongr
_ = ε * μ (⋃ n, closedBall 0 R ∩ t n) := by
rw [measure_iUnion]
· exact pairwise_disjoint_mono t_disj fun n => inter_subset_right
· intro n
exact measurableSet_closedBall.inter (t_meas n)
_ ≤ ε * μ (closedBall 0 R) := by
rw [← inter_iUnion]
exact mul_le_mul_left' (measure_mono inter_subset_left) _
#align measure_theory.add_haar_image_eq_zero_of_det_fderiv_within_eq_zero_aux MeasureTheory.addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux
theorem addHaar_image_eq_zero_of_det_fderivWithin_eq_zero
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (h'f' : ∀ x ∈ s, (f' x).det = 0) :
μ (f '' s) = 0 := by
suffices H : ∀ R, μ (f '' (s ∩ closedBall 0 R)) = 0 by
apply le_antisymm _ (zero_le _)
rw [← iUnion_inter_closedBall_nat s 0]
calc
μ (f '' ⋃ n : ℕ, s ∩ closedBall 0 n) ≤ ∑' n : ℕ, μ (f '' (s ∩ closedBall 0 n)) := by
rw [image_iUnion]; exact measure_iUnion_le _
_ ≤ 0 := by simp only [H, tsum_zero, nonpos_iff_eq_zero]
intro R
have A : ∀ (ε : ℝ≥0), 0 < ε → μ (f '' (s ∩ closedBall 0 R)) ≤ ε * μ (closedBall 0 R) :=
fun ε εpos =>
addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux μ
(fun x hx => (hf' x hx.1).mono inter_subset_left) R inter_subset_right ε εpos
fun x hx => h'f' x hx.1
have B : Tendsto (fun ε : ℝ≥0 => (ε : ℝ≥0∞) * μ (closedBall 0 R)) (𝓝[>] 0) (𝓝 0) := by
have :
Tendsto (fun ε : ℝ≥0 => (ε : ℝ≥0∞) * μ (closedBall 0 R)) (𝓝 0)
(𝓝 (((0 : ℝ≥0) : ℝ≥0∞) * μ (closedBall 0 R))) :=
ENNReal.Tendsto.mul_const (ENNReal.tendsto_coe.2 tendsto_id)
(Or.inr measure_closedBall_lt_top.ne)
simp only [zero_mul, ENNReal.coe_zero] at this
exact Tendsto.mono_left this nhdsWithin_le_nhds
apply le_antisymm _ (zero_le _)
apply ge_of_tendsto B
filter_upwards [self_mem_nhdsWithin]
exact A
#align measure_theory.add_haar_image_eq_zero_of_det_fderiv_within_eq_zero MeasureTheory.addHaar_image_eq_zero_of_det_fderivWithin_eq_zero
theorem aemeasurable_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) : AEMeasurable f' (μ.restrict s) := by
-- fix a precision `ε`
refine aemeasurable_of_unif_approx fun ε εpos => ?_
let δ : ℝ≥0 := ⟨ε, le_of_lt εpos⟩
have δpos : 0 < δ := εpos
-- partition `s` into sets `s ∩ t n` on which `f` is approximated by linear maps `A n`.
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, _⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) δ) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' (fun _ => δ) fun _ =>
δpos.ne'
-- define a measurable function `g` which coincides with `A n` on `t n`.
obtain ⟨g, g_meas, hg⟩ :
∃ g : E → E →L[ℝ] E, Measurable g ∧ ∀ (n : ℕ) (x : E), x ∈ t n → g x = A n :=
exists_measurable_piecewise t t_meas (fun n _ => A n) (fun n => measurable_const) <|
t_disj.mono fun i j h => by simp only [h.inter_eq, eqOn_empty]
refine ⟨g, g_meas.aemeasurable, ?_⟩
-- reduce to checking that `f'` and `g` are close on almost all of `s ∩ t n`, for all `n`.
suffices H : ∀ᵐ x : E ∂sum fun n ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε by
have : μ.restrict s ≤ sum fun n => μ.restrict (s ∩ t n) := by
have : s = ⋃ n, s ∩ t n := by
rw [← inter_iUnion]
exact Subset.antisymm (subset_inter Subset.rfl t_cover) inter_subset_left
conv_lhs => rw [this]
exact restrict_iUnion_le
exact ae_mono this H
-- fix such an `n`.
refine ae_sum_iff.2 fun n => ?_
-- on almost all `s ∩ t n`, `f' x` is close to `A n` thanks to
-- `ApproximatesLinearOn.norm_fderiv_sub_le`.
have E₁ : ∀ᵐ x : E ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ :=
(ht n).norm_fderiv_sub_le μ (hs.inter (t_meas n)) f' fun x hx =>
(hf' x hx.1).mono inter_subset_left
-- moreover, `g x` is equal to `A n` there.
have E₂ : ∀ᵐ x : E ∂μ.restrict (s ∩ t n), g x = A n := by
suffices H : ∀ᵐ x : E ∂μ.restrict (t n), g x = A n from
ae_mono (restrict_mono inter_subset_right le_rfl) H
filter_upwards [ae_restrict_mem (t_meas n)]
exact hg n
-- putting these two properties together gives the conclusion.
filter_upwards [E₁, E₂] with x hx1 hx2
rw [← nndist_eq_nnnorm] at hx1
rw [hx2, dist_comm]
exact hx1
#align measure_theory.ae_measurable_fderiv_within MeasureTheory.aemeasurable_fderivWithin
theorem aemeasurable_ofReal_abs_det_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
AEMeasurable (fun x => ENNReal.ofReal |(f' x).det|) (μ.restrict s) := by
apply ENNReal.measurable_ofReal.comp_aemeasurable
refine continuous_abs.measurable.comp_aemeasurable ?_
refine ContinuousLinearMap.continuous_det.measurable.comp_aemeasurable ?_
exact aemeasurable_fderivWithin μ hs hf'
#align measure_theory.ae_measurable_of_real_abs_det_fderiv_within MeasureTheory.aemeasurable_ofReal_abs_det_fderivWithin
theorem aemeasurable_toNNReal_abs_det_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
AEMeasurable (fun x => |(f' x).det|.toNNReal) (μ.restrict s) := by
apply measurable_real_toNNReal.comp_aemeasurable
refine continuous_abs.measurable.comp_aemeasurable ?_
refine ContinuousLinearMap.continuous_det.measurable.comp_aemeasurable ?_
exact aemeasurable_fderivWithin μ hs hf'
#align measure_theory.ae_measurable_to_nnreal_abs_det_fderiv_within MeasureTheory.aemeasurable_toNNReal_abs_det_fderivWithin
theorem measurable_image_of_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) : MeasurableSet (f '' s) :=
haveI : DifferentiableOn ℝ f s := fun x hx => (hf' x hx).differentiableWithinAt
hs.image_of_continuousOn_injOn (DifferentiableOn.continuousOn this) hf
#align measure_theory.measurable_image_of_fderiv_within MeasureTheory.measurable_image_of_fderivWithin
theorem measurableEmbedding_of_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) :
MeasurableEmbedding (s.restrict f) :=
haveI : DifferentiableOn ℝ f s := fun x hx => (hf' x hx).differentiableWithinAt
this.continuousOn.measurableEmbedding hs hf
#align measure_theory.measurable_embedding_of_fderiv_within MeasureTheory.measurableEmbedding_of_fderivWithin
theorem addHaar_image_le_lintegral_abs_det_fderiv_aux1 (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) {ε : ℝ≥0} (εpos : 0 < ε) :
μ (f '' s) ≤ (∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * ε * μ s := by
have :
∀ A : E →L[ℝ] E,
∃ δ : ℝ≥0,
0 < δ ∧
(∀ B : E →L[ℝ] E, ‖B - A‖ ≤ δ → |B.det - A.det| ≤ ε) ∧
∀ (t : Set E) (g : E → E), ApproximatesLinearOn g A t δ →
μ (g '' t) ≤ (ENNReal.ofReal |A.det| + ε) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + ε
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, εpos, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, δpos⟩
obtain ⟨δ', δ'pos, hδ'⟩ : ∃ (δ' : ℝ), 0 < δ' ∧ ∀ B, dist B A < δ' → dist B.det A.det < ↑ε :=
continuousAt_iff.1 ContinuousLinearMap.continuous_det.continuousAt ε εpos
let δ'' : ℝ≥0 := ⟨δ' / 2, (half_pos δ'pos).le⟩
refine ⟨min δ δ'', lt_min δpos (half_pos δ'pos), ?_, ?_⟩
· intro B hB
rw [← Real.dist_eq]
apply (hδ' B _).le
rw [dist_eq_norm]
calc
‖B - A‖ ≤ (min δ δ'' : ℝ≥0) := hB
_ ≤ δ'' := by simp only [le_refl, NNReal.coe_min, min_le_iff, or_true_iff]
_ < δ' := half_lt_self δ'pos
· intro t g htg
exact h t g (htg.mono_num (min_le_left _ _))
choose δ hδ using this
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, -⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset f (subset_inter Subset.rfl t_cover)
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (ENNReal.ofReal |(A n).det| + ε) * μ (s ∩ t n) := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply (hδ (A n)).2.2
exact ht n
_ = ∑' n, ∫⁻ _ in s ∩ t n, ENNReal.ofReal |(A n).det| + ε ∂μ := by
simp only [lintegral_const, MeasurableSet.univ, Measure.restrict_apply, univ_inter]
_ ≤ ∑' n, ∫⁻ x in s ∩ t n, ENNReal.ofReal |(f' x).det| + 2 * ε ∂μ := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply lintegral_mono_ae
filter_upwards [(ht n).norm_fderiv_sub_le μ (hs.inter (t_meas n)) f' fun x hx =>
(hf' x hx.1).mono inter_subset_left]
intro x hx
have I : |(A n).det| ≤ |(f' x).det| + ε :=
calc
|(A n).det| = |(f' x).det - ((f' x).det - (A n).det)| := by congr 1; abel
_ ≤ |(f' x).det| + |(f' x).det - (A n).det| := abs_sub _ _
_ ≤ |(f' x).det| + ε := add_le_add le_rfl ((hδ (A n)).2.1 _ hx)
calc
ENNReal.ofReal |(A n).det| + ε ≤ ENNReal.ofReal (|(f' x).det| + ε) + ε := by gcongr
_ = ENNReal.ofReal |(f' x).det| + 2 * ε := by
simp only [ENNReal.ofReal_add, abs_nonneg, two_mul, add_assoc, NNReal.zero_le_coe,
ENNReal.ofReal_coe_nnreal]
_ = ∫⁻ x in ⋃ n, s ∩ t n, ENNReal.ofReal |(f' x).det| + 2 * ε ∂μ := by
have M : ∀ n : ℕ, MeasurableSet (s ∩ t n) := fun n => hs.inter (t_meas n)
rw [lintegral_iUnion M]
exact pairwise_disjoint_mono t_disj fun n => inter_subset_right
_ = ∫⁻ x in s, ENNReal.ofReal |(f' x).det| + 2 * ε ∂μ := by
rw [← inter_iUnion, inter_eq_self_of_subset_left t_cover]
_ = (∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * ε * μ s := by
simp only [lintegral_add_right' _ aemeasurable_const, set_lintegral_const]
#align measure_theory.add_haar_image_le_lintegral_abs_det_fderiv_aux1 MeasureTheory.addHaar_image_le_lintegral_abs_det_fderiv_aux1
theorem addHaar_image_le_lintegral_abs_det_fderiv_aux2 (hs : MeasurableSet s) (h's : μ s ≠ ∞)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
μ (f '' s) ≤ ∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ := by
-- We just need to let the error tend to `0` in the previous lemma.
have :
Tendsto (fun ε : ℝ≥0 => (∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * ε * μ s) (𝓝[>] 0)
(𝓝 ((∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * (0 : ℝ≥0) * μ s)) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
refine tendsto_const_nhds.add ?_
refine ENNReal.Tendsto.mul_const ?_ (Or.inr h's)
exact ENNReal.Tendsto.const_mul (ENNReal.tendsto_coe.2 tendsto_id) (Or.inr ENNReal.coe_ne_top)
simp only [add_zero, zero_mul, mul_zero, ENNReal.coe_zero] at this
apply ge_of_tendsto this
filter_upwards [self_mem_nhdsWithin]
intro ε εpos
rw [mem_Ioi] at εpos
exact addHaar_image_le_lintegral_abs_det_fderiv_aux1 μ hs hf' εpos
#align measure_theory.add_haar_image_le_lintegral_abs_det_fderiv_aux2 MeasureTheory.addHaar_image_le_lintegral_abs_det_fderiv_aux2
theorem addHaar_image_le_lintegral_abs_det_fderiv (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
μ (f '' s) ≤ ∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ := by
let u n := disjointed (spanningSets μ) n
have u_meas : ∀ n, MeasurableSet (u n) := by
intro n
apply MeasurableSet.disjointed fun i => ?_
exact measurable_spanningSets μ i
have A : s = ⋃ n, s ∩ u n := by
rw [← inter_iUnion, iUnion_disjointed, iUnion_spanningSets, inter_univ]
calc
μ (f '' s) ≤ ∑' n, μ (f '' (s ∩ u n)) := by
conv_lhs => rw [A, image_iUnion]
exact measure_iUnion_le _
_ ≤ ∑' n, ∫⁻ x in s ∩ u n, ENNReal.ofReal |(f' x).det| ∂μ := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply
addHaar_image_le_lintegral_abs_det_fderiv_aux2 μ (hs.inter (u_meas n)) _ fun x hx =>
(hf' x hx.1).mono inter_subset_left
have : μ (u n) < ∞ :=
lt_of_le_of_lt (measure_mono (disjointed_subset _ _)) (measure_spanningSets_lt_top μ n)
exact ne_of_lt (lt_of_le_of_lt (measure_mono inter_subset_right) this)
_ = ∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ := by
conv_rhs => rw [A]
rw [lintegral_iUnion]
· intro n; exact hs.inter (u_meas n)
· exact pairwise_disjoint_mono (disjoint_disjointed _) fun n => inter_subset_right
#align measure_theory.add_haar_image_le_lintegral_abs_det_fderiv MeasureTheory.addHaar_image_le_lintegral_abs_det_fderiv
theorem lintegral_abs_det_fderiv_le_addHaar_image_aux1 (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) {ε : ℝ≥0} (εpos : 0 < ε) :
(∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) ≤ μ (f '' s) + 2 * ε * μ s := by
have :
∀ A : E →L[ℝ] E,
∃ δ : ℝ≥0,
0 < δ ∧
(∀ B : E →L[ℝ] E, ‖B - A‖ ≤ δ → |B.det - A.det| ≤ ε) ∧
∀ (t : Set E) (g : E → E), ApproximatesLinearOn g A t δ →
ENNReal.ofReal |A.det| * μ t ≤ μ (g '' t) + ε * μ t := by
intro A
obtain ⟨δ', δ'pos, hδ'⟩ : ∃ (δ' : ℝ), 0 < δ' ∧ ∀ B, dist B A < δ' → dist B.det A.det < ↑ε :=
continuousAt_iff.1 ContinuousLinearMap.continuous_det.continuousAt ε εpos
let δ'' : ℝ≥0 := ⟨δ' / 2, (half_pos δ'pos).le⟩
have I'' : ∀ B : E →L[ℝ] E, ‖B - A‖ ≤ ↑δ'' → |B.det - A.det| ≤ ↑ε := by
intro B hB
rw [← Real.dist_eq]
apply (hδ' B _).le
rw [dist_eq_norm]
exact hB.trans_lt (half_lt_self δ'pos)
rcases eq_or_ne A.det 0 with (hA | hA)
· refine ⟨δ'', half_pos δ'pos, I'', ?_⟩
simp only [hA, forall_const, zero_mul, ENNReal.ofReal_zero, imp_true_iff,
zero_le, abs_zero]
let m : ℝ≥0 := Real.toNNReal |A.det| - ε
have I : (m : ℝ≥0∞) < ENNReal.ofReal |A.det| := by
simp only [m, ENNReal.ofReal, ENNReal.coe_sub]
apply ENNReal.sub_lt_self ENNReal.coe_ne_top
· simpa only [abs_nonpos_iff, Real.toNNReal_eq_zero, ENNReal.coe_eq_zero, Ne] using hA
· simp only [εpos.ne', ENNReal.coe_eq_zero, Ne, not_false_iff]
rcases ((mul_le_addHaar_image_of_lt_det μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, δpos⟩
refine ⟨min δ δ'', lt_min δpos (half_pos δ'pos), ?_, ?_⟩
· intro B hB
apply I'' _ (hB.trans _)
simp only [le_refl, NNReal.coe_min, min_le_iff, or_true_iff]
· intro t g htg
rcases eq_or_ne (μ t) ∞ with (ht | ht)
· simp only [ht, εpos.ne', ENNReal.mul_top, ENNReal.coe_eq_zero, le_top, Ne,
not_false_iff, _root_.add_top]
have := h t g (htg.mono_num (min_le_left _ _))
rwa [ENNReal.coe_sub, ENNReal.sub_mul, tsub_le_iff_right] at this
simp only [ht, imp_true_iff, Ne, not_false_iff]
choose δ hδ using this
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, -⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' δ fun A => (hδ A).1.ne'
have s_eq : s = ⋃ n, s ∩ t n := by
rw [← inter_iUnion]
exact Subset.antisymm (subset_inter Subset.rfl t_cover) inter_subset_left
calc
(∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) =
∑' n, ∫⁻ x in s ∩ t n, ENNReal.ofReal |(f' x).det| ∂μ := by
conv_lhs => rw [s_eq]
rw [lintegral_iUnion]
· exact fun n => hs.inter (t_meas n)
· exact pairwise_disjoint_mono t_disj fun n => inter_subset_right
_ ≤ ∑' n, ∫⁻ _ in s ∩ t n, ENNReal.ofReal |(A n).det| + ε ∂μ := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply lintegral_mono_ae
filter_upwards [(ht n).norm_fderiv_sub_le μ (hs.inter (t_meas n)) f' fun x hx =>
(hf' x hx.1).mono inter_subset_left]
intro x hx
have I : |(f' x).det| ≤ |(A n).det| + ε :=
calc
|(f' x).det| = |(A n).det + ((f' x).det - (A n).det)| := by congr 1; abel
_ ≤ |(A n).det| + |(f' x).det - (A n).det| := abs_add _ _
_ ≤ |(A n).det| + ε := add_le_add le_rfl ((hδ (A n)).2.1 _ hx)
calc
ENNReal.ofReal |(f' x).det| ≤ ENNReal.ofReal (|(A n).det| + ε) :=
ENNReal.ofReal_le_ofReal I
_ = ENNReal.ofReal |(A n).det| + ε := by
simp only [ENNReal.ofReal_add, abs_nonneg, NNReal.zero_le_coe, ENNReal.ofReal_coe_nnreal]
_ = ∑' n, (ENNReal.ofReal |(A n).det| * μ (s ∩ t n) + ε * μ (s ∩ t n)) := by
simp only [set_lintegral_const, lintegral_add_right _ measurable_const]
_ ≤ ∑' n, (μ (f '' (s ∩ t n)) + ε * μ (s ∩ t n) + ε * μ (s ∩ t n)) := by
gcongr
exact (hδ (A _)).2.2 _ _ (ht _)
_ = μ (f '' s) + 2 * ε * μ s := by
conv_rhs => rw [s_eq]
rw [image_iUnion, measure_iUnion]; rotate_left
· intro i j hij
apply Disjoint.image _ hf inter_subset_left inter_subset_left
exact Disjoint.mono inter_subset_right inter_subset_right (t_disj hij)
· intro i
exact
measurable_image_of_fderivWithin (hs.inter (t_meas i))
(fun x hx => (hf' x hx.1).mono inter_subset_left)
(hf.mono inter_subset_left)
rw [measure_iUnion]; rotate_left
· exact pairwise_disjoint_mono t_disj fun i => inter_subset_right
· exact fun i => hs.inter (t_meas i)
rw [← ENNReal.tsum_mul_left, ← ENNReal.tsum_add]
congr 1
ext1 i
rw [mul_assoc, two_mul, add_assoc]
#align measure_theory.lintegral_abs_det_fderiv_le_add_haar_image_aux1 MeasureTheory.lintegral_abs_det_fderiv_le_addHaar_image_aux1
theorem lintegral_abs_det_fderiv_le_addHaar_image_aux2 (hs : MeasurableSet s) (h's : μ s ≠ ∞)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) :
(∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) ≤ μ (f '' s) := by
-- We just need to let the error tend to `0` in the previous lemma.
have :
Tendsto (fun ε : ℝ≥0 => μ (f '' s) + 2 * ε * μ s) (𝓝[>] 0)
(𝓝 (μ (f '' s) + 2 * (0 : ℝ≥0) * μ s)) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
refine tendsto_const_nhds.add ?_
refine ENNReal.Tendsto.mul_const ?_ (Or.inr h's)
exact ENNReal.Tendsto.const_mul (ENNReal.tendsto_coe.2 tendsto_id) (Or.inr ENNReal.coe_ne_top)
simp only [add_zero, zero_mul, mul_zero, ENNReal.coe_zero] at this
apply ge_of_tendsto this
filter_upwards [self_mem_nhdsWithin]
intro ε εpos
rw [mem_Ioi] at εpos
exact lintegral_abs_det_fderiv_le_addHaar_image_aux1 μ hs hf' hf εpos
#align measure_theory.lintegral_abs_det_fderiv_le_add_haar_image_aux2 MeasureTheory.lintegral_abs_det_fderiv_le_addHaar_image_aux2
theorem lintegral_abs_det_fderiv_le_addHaar_image (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) :
(∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) ≤ μ (f '' s) := by
let u n := disjointed (spanningSets μ) n
have u_meas : ∀ n, MeasurableSet (u n) := by
intro n
apply MeasurableSet.disjointed fun i => ?_
exact measurable_spanningSets μ i
have A : s = ⋃ n, s ∩ u n := by
rw [← inter_iUnion, iUnion_disjointed, iUnion_spanningSets, inter_univ]
calc
(∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) =
∑' n, ∫⁻ x in s ∩ u n, ENNReal.ofReal |(f' x).det| ∂μ := by
conv_lhs => rw [A]
rw [lintegral_iUnion]
· intro n; exact hs.inter (u_meas n)
· exact pairwise_disjoint_mono (disjoint_disjointed _) fun n => inter_subset_right
_ ≤ ∑' n, μ (f '' (s ∩ u n)) := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply
lintegral_abs_det_fderiv_le_addHaar_image_aux2 μ (hs.inter (u_meas n)) _
(fun x hx => (hf' x hx.1).mono inter_subset_left) (hf.mono inter_subset_left)
have : μ (u n) < ∞ :=
lt_of_le_of_lt (measure_mono (disjointed_subset _ _)) (measure_spanningSets_lt_top μ n)
exact ne_of_lt (lt_of_le_of_lt (measure_mono inter_subset_right) this)
_ = μ (f '' s) := by
conv_rhs => rw [A, image_iUnion]
rw [measure_iUnion]
· intro i j hij
apply Disjoint.image _ hf inter_subset_left inter_subset_left
exact
Disjoint.mono inter_subset_right inter_subset_right
(disjoint_disjointed _ hij)
· intro i
exact
measurable_image_of_fderivWithin (hs.inter (u_meas i))
(fun x hx => (hf' x hx.1).mono inter_subset_left)
(hf.mono inter_subset_left)
#align measure_theory.lintegral_abs_det_fderiv_le_add_haar_image MeasureTheory.lintegral_abs_det_fderiv_le_addHaar_image
theorem lintegral_abs_det_fderiv_eq_addHaar_image (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) :
(∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) = μ (f '' s) :=
le_antisymm (lintegral_abs_det_fderiv_le_addHaar_image μ hs hf' hf)
(addHaar_image_le_lintegral_abs_det_fderiv μ hs hf')
#align measure_theory.lintegral_abs_det_fderiv_eq_add_haar_image MeasureTheory.lintegral_abs_det_fderiv_eq_addHaar_image
theorem map_withDensity_abs_det_fderiv_eq_addHaar (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) (h'f : Measurable f) :
Measure.map f ((μ.restrict s).withDensity fun x => ENNReal.ofReal |(f' x).det|) =
μ.restrict (f '' s) := by
apply Measure.ext fun t ht => ?_
rw [map_apply h'f ht, withDensity_apply _ (h'f ht), Measure.restrict_apply ht,
restrict_restrict (h'f ht),
lintegral_abs_det_fderiv_eq_addHaar_image μ ((h'f ht).inter hs)
(fun x hx => (hf' x hx.2).mono inter_subset_right) (hf.mono inter_subset_right),
image_preimage_inter]
#align measure_theory.map_with_density_abs_det_fderiv_eq_add_haar MeasureTheory.map_withDensity_abs_det_fderiv_eq_addHaar
theorem restrict_map_withDensity_abs_det_fderiv_eq_addHaar (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) :
Measure.map (s.restrict f) (comap (↑) (μ.withDensity fun x => ENNReal.ofReal |(f' x).det|)) =
μ.restrict (f '' s) := by
obtain ⟨u, u_meas, uf⟩ : ∃ u, Measurable u ∧ EqOn u f s := by
classical
refine ⟨piecewise s f 0, ?_, piecewise_eqOn _ _ _⟩
refine ContinuousOn.measurable_piecewise ?_ continuous_zero.continuousOn hs
have : DifferentiableOn ℝ f s := fun x hx => (hf' x hx).differentiableWithinAt
exact this.continuousOn
have u' : ∀ x ∈ s, HasFDerivWithinAt u (f' x) s x := fun x hx =>
(hf' x hx).congr (fun y hy => uf hy) (uf hx)
set F : s → E := u ∘ (↑) with hF
have A :
Measure.map F (comap (↑) (μ.withDensity fun x => ENNReal.ofReal |(f' x).det|)) =
μ.restrict (u '' s) := by
rw [hF, ← Measure.map_map u_meas measurable_subtype_coe, map_comap_subtype_coe hs,
restrict_withDensity hs]
exact map_withDensity_abs_det_fderiv_eq_addHaar μ hs u' (hf.congr uf.symm) u_meas
rw [uf.image_eq] at A
have : F = s.restrict f := by
ext x
exact uf x.2
rwa [this] at A
#align measure_theory.restrict_map_with_density_abs_det_fderiv_eq_add_haar MeasureTheory.restrict_map_withDensity_abs_det_fderiv_eq_addHaar
theorem lintegral_image_eq_lintegral_abs_det_fderiv_mul (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) (g : E → ℝ≥0∞) :
∫⁻ x in f '' s, g x ∂μ = ∫⁻ x in s, ENNReal.ofReal |(f' x).det| * g (f x) ∂μ := by
rw [← restrict_map_withDensity_abs_det_fderiv_eq_addHaar μ hs hf' hf,
(measurableEmbedding_of_fderivWithin hs hf' hf).lintegral_map]
simp only [Set.restrict_apply, ← Function.comp_apply (f := g)]
rw [← (MeasurableEmbedding.subtype_coe hs).lintegral_map, map_comap_subtype_coe hs,
set_lintegral_withDensity_eq_set_lintegral_mul_non_measurable₀ _ _ _ hs]
· simp only [Pi.mul_apply]
· simp only [eventually_true, ENNReal.ofReal_lt_top]
· exact aemeasurable_ofReal_abs_det_fderivWithin μ hs hf'
#align measure_theory.lintegral_image_eq_lintegral_abs_det_fderiv_mul MeasureTheory.lintegral_image_eq_lintegral_abs_det_fderiv_mul
theorem integrableOn_image_iff_integrableOn_abs_det_fderiv_smul (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) (g : E → F) :
IntegrableOn g (f '' s) μ ↔ IntegrableOn (fun x => |(f' x).det| • g (f x)) s μ := by
rw [IntegrableOn, ← restrict_map_withDensity_abs_det_fderiv_eq_addHaar μ hs hf' hf,
(measurableEmbedding_of_fderivWithin hs hf' hf).integrable_map_iff]
simp only [Set.restrict_eq, ← Function.comp.assoc, ENNReal.ofReal]
rw [← (MeasurableEmbedding.subtype_coe hs).integrable_map_iff, map_comap_subtype_coe hs,
restrict_withDensity hs, integrable_withDensity_iff_integrable_coe_smul₀]
· simp_rw [IntegrableOn, Real.coe_toNNReal _ (abs_nonneg _), Function.comp_apply]
· exact aemeasurable_toNNReal_abs_det_fderivWithin μ hs hf'
#align measure_theory.integrable_on_image_iff_integrable_on_abs_det_fderiv_smul MeasureTheory.integrableOn_image_iff_integrableOn_abs_det_fderiv_smul
theorem integral_image_eq_integral_abs_det_fderiv_smul (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) (g : E → F) :
∫ x in f '' s, g x ∂μ = ∫ x in s, |(f' x).det| • g (f x) ∂μ := by
rw [← restrict_map_withDensity_abs_det_fderiv_eq_addHaar μ hs hf' hf,
(measurableEmbedding_of_fderivWithin hs hf' hf).integral_map]
simp only [Set.restrict_apply, ← Function.comp_apply (f := g), ENNReal.ofReal]
rw [← (MeasurableEmbedding.subtype_coe hs).integral_map, map_comap_subtype_coe hs,
setIntegral_withDensity_eq_setIntegral_smul₀
(aemeasurable_toNNReal_abs_det_fderivWithin μ hs hf') _ hs]
congr with x
rw [NNReal.smul_def, Real.coe_toNNReal _ (abs_nonneg (f' x).det)]
#align measure_theory.integral_image_eq_integral_abs_det_fderiv_smul MeasureTheory.integral_image_eq_integral_abs_det_fderiv_smul
-- Porting note: move this to `Topology.Algebra.Module.Basic` when port is over
theorem det_one_smulRight {𝕜 : Type*} [NormedField 𝕜] (v : 𝕜) :
((1 : 𝕜 →L[𝕜] 𝕜).smulRight v).det = v := by
have : (1 : 𝕜 →L[𝕜] 𝕜).smulRight v = v • (1 : 𝕜 →L[𝕜] 𝕜) := by
ext1
simp only [ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply,
Algebra.id.smul_eq_mul, one_mul, ContinuousLinearMap.coe_smul', Pi.smul_apply, mul_one]
rw [this, ContinuousLinearMap.det, ContinuousLinearMap.coe_smul,
ContinuousLinearMap.one_def, ContinuousLinearMap.coe_id, LinearMap.det_smul,
FiniteDimensional.finrank_self, LinearMap.det_id, pow_one, mul_one]
#align measure_theory.det_one_smul_right MeasureTheory.det_one_smulRight
| Mathlib/MeasureTheory/Function/Jacobian.lean | 1,222 | 1,227 | theorem integrableOn_image_iff_integrableOn_abs_deriv_smul {s : Set ℝ} {f : ℝ → ℝ} {f' : ℝ → ℝ}
(hs : MeasurableSet s) (hf' : ∀ x ∈ s, HasDerivWithinAt f (f' x) s x) (hf : InjOn f s)
(g : ℝ → F) : IntegrableOn g (f '' s) ↔ IntegrableOn (fun x => |f' x| • g (f x)) s := by |
simpa only [det_one_smulRight] using
integrableOn_image_iff_integrableOn_abs_det_fderiv_smul volume hs
(fun x hx => (hf' x hx).hasFDerivWithinAt) hf g
|
import Mathlib.LinearAlgebra.Matrix.Basis
import Mathlib.LinearAlgebra.Matrix.Nondegenerate
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv
import Mathlib.LinearAlgebra.BilinearForm.Properties
import Mathlib.LinearAlgebra.Matrix.SesquilinearForm
#align_import linear_algebra.matrix.bilinear_form from "leanprover-community/mathlib"@"075b3f7d19b9da85a0b54b3e33055a74fc388dec"
open LinearMap (BilinForm)
variable {R : Type*} {M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M]
variable {R₁ : Type*} {M₁ : Type*} [CommRing R₁] [AddCommGroup M₁] [Module R₁ M₁]
variable {R₂ : Type*} {M₂ : Type*} [CommSemiring R₂] [AddCommMonoid M₂] [Module R₂ M₂]
variable {R₃ : Type*} {M₃ : Type*} [CommRing R₃] [AddCommGroup M₃] [Module R₃ M₃]
variable {V : Type*} {K : Type*} [Field K] [AddCommGroup V] [Module K V]
variable {B : BilinForm R M} {B₁ : BilinForm R₁ M₁} {B₂ : BilinForm R₂ M₂}
section Matrix
variable {n o : Type*}
open Finset LinearMap Matrix
open Matrix
def Matrix.toBilin'Aux [Fintype n] (M : Matrix n n R₂) : BilinForm R₂ (n → R₂) :=
Matrix.toLinearMap₂'Aux _ _ M
#align matrix.to_bilin'_aux Matrix.toBilin'Aux
theorem Matrix.toBilin'Aux_stdBasis [Fintype n] [DecidableEq n] (M : Matrix n n R₂) (i j : n) :
M.toBilin'Aux (LinearMap.stdBasis R₂ (fun _ => R₂) i 1)
(LinearMap.stdBasis R₂ (fun _ => R₂) j 1) = M i j :=
Matrix.toLinearMap₂'Aux_stdBasis _ _ _ _ _
#align matrix.to_bilin'_aux_std_basis Matrix.toBilin'Aux_stdBasis
def BilinForm.toMatrixAux (b : n → M₂) : BilinForm R₂ M₂ →ₗ[R₂] Matrix n n R₂ :=
LinearMap.toMatrix₂Aux b b
#align bilin_form.to_matrix_aux BilinForm.toMatrixAux
@[simp]
theorem LinearMap.BilinForm.toMatrixAux_apply (B : BilinForm R₂ M₂) (b : n → M₂) (i j : n) :
-- Porting note: had to hint the base ring even though it should be clear from context...
BilinForm.toMatrixAux (R₂ := R₂) b B i j = B (b i) (b j) :=
LinearMap.toMatrix₂Aux_apply B _ _ _ _
#align bilin_form.to_matrix_aux_apply LinearMap.BilinForm.toMatrixAux_apply
variable [Fintype n] [Fintype o]
theorem toBilin'Aux_toMatrixAux [DecidableEq n] (B₂ : BilinForm R₂ (n → R₂)) :
-- Porting note: had to hint the base ring even though it should be clear from context...
Matrix.toBilin'Aux (BilinForm.toMatrixAux (R₂ := R₂)
(fun j => stdBasis R₂ (fun _ => R₂) j 1) B₂) = B₂ := by
rw [BilinForm.toMatrixAux, Matrix.toBilin'Aux,
toLinearMap₂'Aux_toMatrix₂Aux]
#align to_bilin'_aux_to_matrix_aux toBilin'Aux_toMatrixAux
section ToMatrix'
variable [DecidableEq n] [DecidableEq o]
def LinearMap.BilinForm.toMatrix' : BilinForm R₂ (n → R₂) ≃ₗ[R₂] Matrix n n R₂ :=
LinearMap.toMatrix₂'
#align bilin_form.to_matrix' LinearMap.BilinForm.toMatrix'
@[simp]
theorem LinearMap.BilinForm.toMatrixAux_stdBasis (B : BilinForm R₂ (n → R₂)) :
-- Porting note: had to hint the base ring even though it should be clear from context...
BilinForm.toMatrixAux (R₂ := R₂) (fun j => stdBasis R₂ (fun _ => R₂) j 1) B =
BilinForm.toMatrix' B :=
rfl
#align bilin_form.to_matrix_aux_std_basis LinearMap.BilinForm.toMatrixAux_stdBasis
def Matrix.toBilin' : Matrix n n R₂ ≃ₗ[R₂] BilinForm R₂ (n → R₂) :=
BilinForm.toMatrix'.symm
#align matrix.to_bilin' Matrix.toBilin'
@[simp]
theorem Matrix.toBilin'Aux_eq (M : Matrix n n R₂) : Matrix.toBilin'Aux M = Matrix.toBilin' M :=
rfl
#align matrix.to_bilin'_aux_eq Matrix.toBilin'Aux_eq
theorem Matrix.toBilin'_apply (M : Matrix n n R₂) (x y : n → R₂) :
Matrix.toBilin' M x y = ∑ i, ∑ j, x i * M i j * y j := Matrix.toLinearMap₂'_apply _ _ _
#align matrix.to_bilin'_apply Matrix.toBilin'_apply
theorem Matrix.toBilin'_apply' (M : Matrix n n R₂) (v w : n → R₂) :
Matrix.toBilin' M v w = Matrix.dotProduct v (M *ᵥ w) := Matrix.toLinearMap₂'_apply' _ _ _
#align matrix.to_bilin'_apply' Matrix.toBilin'_apply'
@[simp]
theorem Matrix.toBilin'_stdBasis (M : Matrix n n R₂) (i j : n) :
Matrix.toBilin' M
(LinearMap.stdBasis R₂ (fun _ => R₂) i 1)
(LinearMap.stdBasis R₂ (fun _ => R₂) j 1) = M i j := Matrix.toLinearMap₂'_stdBasis _ _ _
#align matrix.to_bilin'_std_basis Matrix.toBilin'_stdBasis
@[simp]
theorem LinearMap.BilinForm.toMatrix'_symm :
(BilinForm.toMatrix'.symm : Matrix n n R₂ ≃ₗ[R₂] _) = Matrix.toBilin' :=
rfl
#align bilin_form.to_matrix'_symm LinearMap.BilinForm.toMatrix'_symm
@[simp]
theorem Matrix.toBilin'_symm :
(Matrix.toBilin'.symm : _ ≃ₗ[R₂] Matrix n n R₂) = BilinForm.toMatrix' :=
BilinForm.toMatrix'.symm_symm
#align matrix.to_bilin'_symm Matrix.toBilin'_symm
@[simp]
theorem Matrix.toBilin'_toMatrix' (B : BilinForm R₂ (n → R₂)) :
Matrix.toBilin' (BilinForm.toMatrix' B) = B :=
Matrix.toBilin'.apply_symm_apply B
#align matrix.to_bilin'_to_matrix' Matrix.toBilin'_toMatrix'
section ToMatrix
variable [DecidableEq n] (b : Basis n R₂ M₂)
noncomputable def BilinForm.toMatrix : BilinForm R₂ M₂ ≃ₗ[R₂] Matrix n n R₂ :=
LinearMap.toMatrix₂ b b
#align bilin_form.to_matrix BilinForm.toMatrix
noncomputable def Matrix.toBilin : Matrix n n R₂ ≃ₗ[R₂] BilinForm R₂ M₂ :=
(BilinForm.toMatrix b).symm
#align matrix.to_bilin Matrix.toBilin
@[simp]
theorem BilinForm.toMatrix_apply (B : BilinForm R₂ M₂) (i j : n) :
BilinForm.toMatrix b B i j = B (b i) (b j) :=
LinearMap.toMatrix₂_apply _ _ B _ _
#align bilin_form.to_matrix_apply BilinForm.toMatrix_apply
@[simp]
theorem Matrix.toBilin_apply (M : Matrix n n R₂) (x y : M₂) :
Matrix.toBilin b M x y = ∑ i, ∑ j, b.repr x i * M i j * b.repr y j :=
Matrix.toLinearMap₂_apply _ _ _ _ _
#align matrix.to_bilin_apply Matrix.toBilin_apply
-- Not a `simp` lemma since `BilinForm.toMatrix` needs an extra argument
theorem BilinearForm.toMatrixAux_eq (B : BilinForm R₂ M₂) :
BilinForm.toMatrixAux (R₂ := R₂) b B = BilinForm.toMatrix b B :=
LinearMap.toMatrix₂Aux_eq _ _ B
#align bilinear_form.to_matrix_aux_eq BilinearForm.toMatrixAux_eq
@[simp]
theorem BilinForm.toMatrix_symm : (BilinForm.toMatrix b).symm = Matrix.toBilin b :=
rfl
#align bilin_form.to_matrix_symm BilinForm.toMatrix_symm
@[simp]
theorem Matrix.toBilin_symm : (Matrix.toBilin b).symm = BilinForm.toMatrix b :=
(BilinForm.toMatrix b).symm_symm
#align matrix.to_bilin_symm Matrix.toBilin_symm
| Mathlib/LinearAlgebra/Matrix/BilinearForm.lean | 271 | 274 | theorem Matrix.toBilin_basisFun : Matrix.toBilin (Pi.basisFun R₂ n) = Matrix.toBilin' := by |
ext M
simp only [coe_comp, coe_single, Function.comp_apply, toBilin_apply, Pi.basisFun_repr,
toBilin'_apply]
|
import Mathlib.Geometry.Manifold.MFDeriv.UniqueDifferential
import Mathlib.Geometry.Manifold.ContMDiffMap
#align_import geometry.manifold.cont_mdiff_mfderiv from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833"
open Set Function Filter ChartedSpace SmoothManifoldWithCorners Bundle
open scoped Topology Manifold Bundle
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare a smooth manifold `M` over the pair `(E, H)`.
{E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} {M : Type*} [TopologicalSpace M] [ChartedSpace H M]
[Is : SmoothManifoldWithCorners I M]
-- declare a smooth manifold `M'` over the pair `(E', H')`.
{E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[I's : SmoothManifoldWithCorners I' M']
-- declare a smooth manifold `N` over the pair `(F, G)`.
{F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G]
{J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N]
[Js : SmoothManifoldWithCorners J N]
-- declare a smooth manifold `N'` over the pair `(F', G')`.
{F' : Type*}
[NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G']
{J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N']
[J's : SmoothManifoldWithCorners J' N']
-- declare some additional normed spaces, used for fibers of vector bundles
{F₁ : Type*}
[NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂]
[NormedSpace 𝕜 F₂]
-- declare functions, sets, points and smoothness indices
{f f₁ : M → M'}
{s s₁ t : Set M} {x : M} {m n : ℕ∞}
-- Porting note: section about deducing differentiability from smoothness moved to
-- `Geometry.Manifold.MFDeriv.Basic`
namespace TangentBundle
variable (I M)
open Bundle
| Mathlib/Geometry/Manifold/ContMDiffMFDeriv.lean | 571 | 599 | theorem tangentMap_tangentBundle_pure (p : TangentBundle I M) :
tangentMap I I.tangent (zeroSection E (TangentSpace I)) p = ⟨⟨p.proj, 0⟩, ⟨p.2, 0⟩⟩ := by |
rcases p with ⟨x, v⟩
have N : I.symm ⁻¹' (chartAt H x).target ∈ 𝓝 (I ((chartAt H x) x)) := by
apply IsOpen.mem_nhds
· apply (PartialHomeomorph.open_target _).preimage I.continuous_invFun
· simp only [mfld_simps]
have A : MDifferentiableAt I I.tangent (fun x => @TotalSpace.mk M E (TangentSpace I) x 0) x :=
haveI : Smooth I (I.prod 𝓘(𝕜, E)) (zeroSection E (TangentSpace I : M → Type _)) :=
Bundle.smooth_zeroSection 𝕜 (TangentSpace I : M → Type _)
this.mdifferentiableAt
have B : fderivWithin 𝕜 (fun x' : E ↦ (x', (0 : E))) (Set.range I) (I ((chartAt H x) x)) v
= (v, 0) := by
rw [fderivWithin_eq_fderiv, DifferentiableAt.fderiv_prod]
· simp
· exact differentiableAt_id'
· exact differentiableAt_const _
· exact ModelWithCorners.unique_diff_at_image I
· exact differentiableAt_id'.prod (differentiableAt_const _)
simp (config := { unfoldPartialApp := true }) only [Bundle.zeroSection, tangentMap, mfderiv, A,
if_pos, chartAt, FiberBundle.chartedSpace_chartAt, TangentBundle.trivializationAt_apply,
tangentBundleCore, Function.comp_def, ContinuousLinearMap.map_zero, mfld_simps]
rw [← fderivWithin_inter N] at B
rw [← fderivWithin_inter N, ← B]
congr 1
refine fderivWithin_congr (fun y hy => ?_) ?_
· simp only [mfld_simps] at hy
simp only [hy, Prod.mk.inj_iff, mfld_simps]
· simp only [Prod.mk.inj_iff, mfld_simps]
|
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
| Mathlib/Analysis/BoxIntegral/Partition/Basic.lean | 108 | 110 | theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by |
rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂)
rfl
|
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Factorial.DoubleFactorial
#align_import ring_theory.polynomial.hermite.basic from "leanprover-community/mathlib"@"938d3db9c278f8a52c0f964a405806f0f2b09b74"
noncomputable section
open Polynomial
namespace Polynomial
noncomputable def hermite : ℕ → Polynomial ℤ
| 0 => 1
| n + 1 => X * hermite n - derivative (hermite n)
#align polynomial.hermite Polynomial.hermite
@[simp]
theorem hermite_succ (n : ℕ) : hermite (n + 1) = X * hermite n - derivative (hermite n) := by
rw [hermite]
#align polynomial.hermite_succ Polynomial.hermite_succ
theorem hermite_eq_iterate (n : ℕ) : hermite n = (fun p => X * p - derivative p)^[n] 1 := by
induction' n with n ih
· rfl
· rw [Function.iterate_succ_apply', ← ih, hermite_succ]
#align polynomial.hermite_eq_iterate Polynomial.hermite_eq_iterate
@[simp]
theorem hermite_zero : hermite 0 = C 1 :=
rfl
#align polynomial.hermite_zero Polynomial.hermite_zero
-- Porting note (#10618): There was initially @[simp] on this line but it was removed
-- because simp can prove this theorem
| Mathlib/RingTheory/Polynomial/Hermite/Basic.lean | 72 | 74 | theorem hermite_one : hermite 1 = X := by |
rw [hermite_succ, hermite_zero]
simp only [map_one, mul_one, derivative_one, sub_zero]
|
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.MvPolynomial.Variables
#align_import data.mv_polynomial.monad from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
namespace MvPolynomial
open Finsupp
variable {σ : Type*} {τ : Type*}
variable {R S T : Type*} [CommSemiring R] [CommSemiring S] [CommSemiring T]
def bind₁ (f : σ → MvPolynomial τ R) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R :=
aeval f
#align mv_polynomial.bind₁ MvPolynomial.bind₁
def bind₂ (f : R →+* MvPolynomial σ S) : MvPolynomial σ R →+* MvPolynomial σ S :=
eval₂Hom f X
#align mv_polynomial.bind₂ MvPolynomial.bind₂
def join₁ : MvPolynomial (MvPolynomial σ R) R →ₐ[R] MvPolynomial σ R :=
aeval id
#align mv_polynomial.join₁ MvPolynomial.join₁
def join₂ : MvPolynomial σ (MvPolynomial σ R) →+* MvPolynomial σ R :=
eval₂Hom (RingHom.id _) X
#align mv_polynomial.join₂ MvPolynomial.join₂
@[simp]
theorem aeval_eq_bind₁ (f : σ → MvPolynomial τ R) : aeval f = bind₁ f :=
rfl
#align mv_polynomial.aeval_eq_bind₁ MvPolynomial.aeval_eq_bind₁
@[simp]
theorem eval₂Hom_C_eq_bind₁ (f : σ → MvPolynomial τ R) : eval₂Hom C f = bind₁ f :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_eq_bind₁ MvPolynomial.eval₂Hom_C_eq_bind₁
@[simp]
theorem eval₂Hom_eq_bind₂ (f : R →+* MvPolynomial σ S) : eval₂Hom f X = bind₂ f :=
rfl
#align mv_polynomial.eval₂_hom_eq_bind₂ MvPolynomial.eval₂Hom_eq_bind₂
section
variable (σ R)
@[simp]
theorem aeval_id_eq_join₁ : aeval id = @join₁ σ R _ :=
rfl
#align mv_polynomial.aeval_id_eq_join₁ MvPolynomial.aeval_id_eq_join₁
theorem eval₂Hom_C_id_eq_join₁ (φ : MvPolynomial (MvPolynomial σ R) R) :
eval₂Hom C id φ = join₁ φ :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_id_eq_join₁ MvPolynomial.eval₂Hom_C_id_eq_join₁
@[simp]
theorem eval₂Hom_id_X_eq_join₂ : eval₂Hom (RingHom.id _) X = @join₂ σ R _ :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_id_X_eq_join₂ MvPolynomial.eval₂Hom_id_X_eq_join₂
end
-- In this file, we don't want to use these simp lemmas,
-- because we first need to show how these new definitions interact
-- and the proofs fall back on unfolding the definitions and call simp afterwards
attribute [-simp]
aeval_eq_bind₁ eval₂Hom_C_eq_bind₁ eval₂Hom_eq_bind₂ aeval_id_eq_join₁ eval₂Hom_id_X_eq_join₂
@[simp]
theorem bind₁_X_right (f : σ → MvPolynomial τ R) (i : σ) : bind₁ f (X i) = f i :=
aeval_X f i
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_X_right MvPolynomial.bind₁_X_right
@[simp]
theorem bind₂_X_right (f : R →+* MvPolynomial σ S) (i : σ) : bind₂ f (X i) = X i :=
eval₂Hom_X' f X i
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_X_right MvPolynomial.bind₂_X_right
@[simp]
theorem bind₁_X_left : bind₁ (X : σ → MvPolynomial σ R) = AlgHom.id R _ := by
ext1 i
simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_X_left MvPolynomial.bind₁_X_left
variable (f : σ → MvPolynomial τ R)
theorem bind₁_C_right (f : σ → MvPolynomial τ R) (x) : bind₁ f (C x) = C x := algHom_C _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_C_right MvPolynomial.bind₁_C_right
@[simp]
theorem bind₂_C_right (f : R →+* MvPolynomial σ S) (r : R) : bind₂ f (C r) = f r :=
eval₂Hom_C f X r
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_C_right MvPolynomial.bind₂_C_right
@[simp]
theorem bind₂_C_left : bind₂ (C : R →+* MvPolynomial σ R) = RingHom.id _ := by ext : 2 <;> simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_C_left MvPolynomial.bind₂_C_left
@[simp]
theorem bind₂_comp_C (f : R →+* MvPolynomial σ S) : (bind₂ f).comp C = f :=
RingHom.ext <| bind₂_C_right _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_comp_C MvPolynomial.bind₂_comp_C
@[simp]
theorem join₂_map (f : R →+* MvPolynomial σ S) (φ : MvPolynomial σ R) :
join₂ (map f φ) = bind₂ f φ := by simp only [join₂, bind₂, eval₂Hom_map_hom, RingHom.id_comp]
#align mv_polynomial.join₂_map MvPolynomial.join₂_map
@[simp]
theorem join₂_comp_map (f : R →+* MvPolynomial σ S) : join₂.comp (map f) = bind₂ f :=
RingHom.ext <| join₂_map _
#align mv_polynomial.join₂_comp_map MvPolynomial.join₂_comp_map
theorem aeval_id_rename (f : σ → MvPolynomial τ R) (p : MvPolynomial σ R) :
aeval id (rename f p) = aeval f p := by rw [aeval_rename, Function.id_comp]
#align mv_polynomial.aeval_id_rename MvPolynomial.aeval_id_rename
@[simp]
theorem join₁_rename (f : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
join₁ (rename f φ) = bind₁ f φ :=
aeval_id_rename _ _
#align mv_polynomial.join₁_rename MvPolynomial.join₁_rename
@[simp]
theorem bind₁_id : bind₁ (@id (MvPolynomial σ R)) = join₁ :=
rfl
#align mv_polynomial.bind₁_id MvPolynomial.bind₁_id
@[simp]
theorem bind₂_id : bind₂ (RingHom.id (MvPolynomial σ R)) = join₂ :=
rfl
#align mv_polynomial.bind₂_id MvPolynomial.bind₂_id
theorem bind₁_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → MvPolynomial υ R)
(φ : MvPolynomial σ R) : (bind₁ g) (bind₁ f φ) = bind₁ (fun i => bind₁ g (f i)) φ := by
simp [bind₁, ← comp_aeval]
#align mv_polynomial.bind₁_bind₁ MvPolynomial.bind₁_bind₁
theorem bind₁_comp_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → MvPolynomial υ R) :
(bind₁ g).comp (bind₁ f) = bind₁ fun i => bind₁ g (f i) := by
ext1
apply bind₁_bind₁
#align mv_polynomial.bind₁_comp_bind₁ MvPolynomial.bind₁_comp_bind₁
theorem bind₂_comp_bind₂ (f : R →+* MvPolynomial σ S) (g : S →+* MvPolynomial σ T) :
(bind₂ g).comp (bind₂ f) = bind₂ ((bind₂ g).comp f) := by ext : 2 <;> simp
#align mv_polynomial.bind₂_comp_bind₂ MvPolynomial.bind₂_comp_bind₂
theorem bind₂_bind₂ (f : R →+* MvPolynomial σ S) (g : S →+* MvPolynomial σ T)
(φ : MvPolynomial σ R) : (bind₂ g) (bind₂ f φ) = bind₂ ((bind₂ g).comp f) φ :=
RingHom.congr_fun (bind₂_comp_bind₂ f g) φ
#align mv_polynomial.bind₂_bind₂ MvPolynomial.bind₂_bind₂
theorem rename_comp_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → υ) :
(rename g).comp (bind₁ f) = bind₁ fun i => rename g <| f i := by
ext1 i
simp
#align mv_polynomial.rename_comp_bind₁ MvPolynomial.rename_comp_bind₁
theorem rename_bind₁ {υ : Type*} (f : σ → MvPolynomial τ R) (g : τ → υ) (φ : MvPolynomial σ R) :
rename g (bind₁ f φ) = bind₁ (fun i => rename g <| f i) φ :=
AlgHom.congr_fun (rename_comp_bind₁ f g) φ
#align mv_polynomial.rename_bind₁ MvPolynomial.rename_bind₁
theorem map_bind₂ (f : R →+* MvPolynomial σ S) (g : S →+* T) (φ : MvPolynomial σ R) :
map g (bind₂ f φ) = bind₂ ((map g).comp f) φ := by
simp only [bind₂, eval₂_comp_right, coe_eval₂Hom, eval₂_map]
congr 1 with : 1
simp only [Function.comp_apply, map_X]
#align mv_polynomial.map_bind₂ MvPolynomial.map_bind₂
theorem bind₁_comp_rename {υ : Type*} (f : τ → MvPolynomial υ R) (g : σ → τ) :
(bind₁ f).comp (rename g) = bind₁ (f ∘ g) := by
ext1 i
simp
#align mv_polynomial.bind₁_comp_rename MvPolynomial.bind₁_comp_rename
theorem bind₁_rename {υ : Type*} (f : τ → MvPolynomial υ R) (g : σ → τ) (φ : MvPolynomial σ R) :
bind₁ f (rename g φ) = bind₁ (f ∘ g) φ :=
AlgHom.congr_fun (bind₁_comp_rename f g) φ
#align mv_polynomial.bind₁_rename MvPolynomial.bind₁_rename
theorem bind₂_map (f : S →+* MvPolynomial σ T) (g : R →+* S) (φ : MvPolynomial σ R) :
bind₂ f (map g φ) = bind₂ (f.comp g) φ := by simp [bind₂]
#align mv_polynomial.bind₂_map MvPolynomial.bind₂_map
@[simp]
theorem map_comp_C (f : R →+* S) : (map f).comp (C : R →+* MvPolynomial σ R) = C.comp f := by
ext1
apply map_C
set_option linter.uppercaseLean3 false in
#align mv_polynomial.map_comp_C MvPolynomial.map_comp_C
-- mixing the two monad structures
theorem hom_bind₁ (f : MvPolynomial τ R →+* S) (g : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
f (bind₁ g φ) = eval₂Hom (f.comp C) (fun i => f (g i)) φ := by
rw [bind₁, map_aeval, algebraMap_eq]
#align mv_polynomial.hom_bind₁ MvPolynomial.hom_bind₁
theorem map_bind₁ (f : R →+* S) (g : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
map f (bind₁ g φ) = bind₁ (fun i : σ => (map f) (g i)) (map f φ) := by
rw [hom_bind₁, map_comp_C, ← eval₂Hom_map_hom]
rfl
#align mv_polynomial.map_bind₁ MvPolynomial.map_bind₁
@[simp]
theorem eval₂Hom_comp_C (f : R →+* S) (g : σ → S) : (eval₂Hom f g).comp C = f := by
ext1 r
exact eval₂_C f g r
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_comp_C MvPolynomial.eval₂Hom_comp_C
theorem eval₂Hom_bind₁ (f : R →+* S) (g : τ → S) (h : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
eval₂Hom f g (bind₁ h φ) = eval₂Hom f (fun i => eval₂Hom f g (h i)) φ := by
rw [hom_bind₁, eval₂Hom_comp_C]
#align mv_polynomial.eval₂_hom_bind₁ MvPolynomial.eval₂Hom_bind₁
theorem aeval_bind₁ [Algebra R S] (f : τ → S) (g : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
aeval f (bind₁ g φ) = aeval (fun i => aeval f (g i)) φ :=
eval₂Hom_bind₁ _ _ _ _
#align mv_polynomial.aeval_bind₁ MvPolynomial.aeval_bind₁
theorem aeval_comp_bind₁ [Algebra R S] (f : τ → S) (g : σ → MvPolynomial τ R) :
(aeval f).comp (bind₁ g) = aeval fun i => aeval f (g i) := by
ext1
apply aeval_bind₁
#align mv_polynomial.aeval_comp_bind₁ MvPolynomial.aeval_comp_bind₁
theorem eval₂Hom_comp_bind₂ (f : S →+* T) (g : σ → T) (h : R →+* MvPolynomial σ S) :
(eval₂Hom f g).comp (bind₂ h) = eval₂Hom ((eval₂Hom f g).comp h) g := by ext : 2 <;> simp
#align mv_polynomial.eval₂_hom_comp_bind₂ MvPolynomial.eval₂Hom_comp_bind₂
theorem eval₂Hom_bind₂ (f : S →+* T) (g : σ → T) (h : R →+* MvPolynomial σ S)
(φ : MvPolynomial σ R) : eval₂Hom f g (bind₂ h φ) = eval₂Hom ((eval₂Hom f g).comp h) g φ :=
RingHom.congr_fun (eval₂Hom_comp_bind₂ f g h) φ
#align mv_polynomial.eval₂_hom_bind₂ MvPolynomial.eval₂Hom_bind₂
theorem aeval_bind₂ [Algebra S T] (f : σ → T) (g : R →+* MvPolynomial σ S) (φ : MvPolynomial σ R) :
aeval f (bind₂ g φ) = eval₂Hom ((↑(aeval f : _ →ₐ[S] _) : _ →+* _).comp g) f φ :=
eval₂Hom_bind₂ _ _ _ _
#align mv_polynomial.aeval_bind₂ MvPolynomial.aeval_bind₂
theorem eval₂Hom_C_left (f : σ → MvPolynomial τ R) : eval₂Hom C f = bind₁ f :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_left MvPolynomial.eval₂Hom_C_left
theorem bind₁_monomial (f : σ → MvPolynomial τ R) (d : σ →₀ ℕ) (r : R) :
bind₁ f (monomial d r) = C r * ∏ i ∈ d.support, f i ^ d i := by
simp only [monomial_eq, AlgHom.map_mul, bind₁_C_right, Finsupp.prod, AlgHom.map_prod,
AlgHom.map_pow, bind₁_X_right]
#align mv_polynomial.bind₁_monomial MvPolynomial.bind₁_monomial
theorem bind₂_monomial (f : R →+* MvPolynomial σ S) (d : σ →₀ ℕ) (r : R) :
bind₂ f (monomial d r) = f r * monomial d 1 := by
simp only [monomial_eq, RingHom.map_mul, bind₂_C_right, Finsupp.prod, map_prod,
map_pow, bind₂_X_right, C_1, one_mul]
#align mv_polynomial.bind₂_monomial MvPolynomial.bind₂_monomial
@[simp]
theorem bind₂_monomial_one (f : R →+* MvPolynomial σ S) (d : σ →₀ ℕ) :
bind₂ f (monomial d 1) = monomial d 1 := by rw [bind₂_monomial, f.map_one, one_mul]
#align mv_polynomial.bind₂_monomial_one MvPolynomial.bind₂_monomial_one
section
theorem vars_bind₁ [DecidableEq τ] (f : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) :
(bind₁ f φ).vars ⊆ φ.vars.biUnion fun i => (f i).vars := by
calc (bind₁ f φ).vars
_ = (φ.support.sum fun x : σ →₀ ℕ => (bind₁ f) (monomial x (coeff x φ))).vars := by
rw [← AlgHom.map_sum, ← φ.as_sum]
_ ≤ φ.support.biUnion fun i : σ →₀ ℕ => ((bind₁ f) (monomial i (coeff i φ))).vars :=
(vars_sum_subset _ _)
_ = φ.support.biUnion fun d : σ →₀ ℕ => vars (C (coeff d φ) * ∏ i ∈ d.support, f i ^ d i) := by
simp only [bind₁_monomial]
_ ≤ φ.support.biUnion fun d : σ →₀ ℕ => d.support.biUnion fun i => vars (f i) := ?_
-- proof below
_ ≤ φ.vars.biUnion fun i : σ => vars (f i) := ?_
-- proof below
· apply Finset.biUnion_mono
intro d _hd
calc
vars (C (coeff d φ) * ∏ i ∈ d.support, f i ^ d i) ≤
(C (coeff d φ)).vars ∪ (∏ i ∈ d.support, f i ^ d i).vars :=
vars_mul _ _
_ ≤ (∏ i ∈ d.support, f i ^ d i).vars := by
simp only [Finset.empty_union, vars_C, Finset.le_iff_subset, Finset.Subset.refl]
_ ≤ d.support.biUnion fun i : σ => vars (f i ^ d i) := vars_prod _
_ ≤ d.support.biUnion fun i : σ => (f i).vars := ?_
apply Finset.biUnion_mono
intro i _hi
apply vars_pow
· intro j
simp_rw [Finset.mem_biUnion]
rintro ⟨d, hd, ⟨i, hi, hj⟩⟩
exact ⟨i, (mem_vars _).mpr ⟨d, hd, hi⟩, hj⟩
#align mv_polynomial.vars_bind₁ MvPolynomial.vars_bind₁
end
| Mathlib/Algebra/MvPolynomial/Monad.lean | 386 | 389 | theorem mem_vars_bind₁ (f : σ → MvPolynomial τ R) (φ : MvPolynomial σ R) {j : τ}
(h : j ∈ (bind₁ f φ).vars) : ∃ i : σ, i ∈ φ.vars ∧ j ∈ (f i).vars := by |
classical
simpa only [exists_prop, Finset.mem_biUnion, mem_support_iff, Ne] using vars_bind₁ f φ h
|
import Mathlib.Algebra.MvPolynomial.Counit
import Mathlib.Algebra.MvPolynomial.Invertible
import Mathlib.RingTheory.WittVector.Defs
#align_import ring_theory.witt_vector.basic from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a"
noncomputable section
open MvPolynomial Function
variable {p : ℕ} {R S T : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] [CommRing T]
variable {α : Type*} {β : Type*}
local notation "𝕎" => WittVector p
local notation "W_" => wittPolynomial p
-- type as `\bbW`
open scoped Witt
namespace WittVector
def mapFun (f : α → β) : 𝕎 α → 𝕎 β := fun x => mk _ (f ∘ x.coeff)
#align witt_vector.map_fun WittVector.mapFun
namespace mapFun
-- Porting note: switched the proof to tactic mode. I think that `ext` was the issue.
theorem injective (f : α → β) (hf : Injective f) : Injective (mapFun f : 𝕎 α → 𝕎 β) := by
intros _ _ h
ext p
exact hf (congr_arg (fun x => coeff x p) h : _)
#align witt_vector.map_fun.injective WittVector.mapFun.injective
theorem surjective (f : α → β) (hf : Surjective f) : Surjective (mapFun f : 𝕎 α → 𝕎 β) := fun x =>
⟨mk _ fun n => Classical.choose <| hf <| x.coeff n,
by ext n; simp only [mapFun, coeff_mk, comp_apply, Classical.choose_spec (hf (x.coeff n))]⟩
#align witt_vector.map_fun.surjective WittVector.mapFun.surjective
-- Porting note: using `(x y : 𝕎 R)` instead of `(x y : WittVector p R)` produced sorries.
variable (f : R →+* S) (x y : WittVector p R)
-- porting note: a very crude port.
macro "map_fun_tac" : tactic => `(tactic| (
ext n
simp only [mapFun, mk, comp_apply, zero_coeff, map_zero,
-- Porting note: the lemmas on the next line do not have the `simp` tag in mathlib4
add_coeff, sub_coeff, mul_coeff, neg_coeff, nsmul_coeff, zsmul_coeff, pow_coeff,
peval, map_aeval, algebraMap_int_eq, coe_eval₂Hom] <;>
try { cases n <;> simp <;> done } <;> -- Porting note: this line solves `one`
apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl <;>
ext ⟨i, k⟩ <;>
fin_cases i <;> rfl))
-- and until `pow`.
-- We do not tag these lemmas as `@[simp]` because they will be bundled in `map` later on.
theorem zero : mapFun f (0 : 𝕎 R) = 0 := by map_fun_tac
#align witt_vector.map_fun.zero WittVector.mapFun.zero
| Mathlib/RingTheory/WittVector/Basic.lean | 105 | 105 | theorem one : mapFun f (1 : 𝕎 R) = 1 := by | map_fun_tac
|
import Mathlib.Algebra.Field.Basic
import Mathlib.Algebra.Order.Field.Defs
import Mathlib.Data.Tree.Basic
import Mathlib.Logic.Basic
import Mathlib.Tactic.NormNum.Core
import Mathlib.Util.SynthesizeUsing
import Mathlib.Util.Qq
open Lean Parser Tactic Mathlib Meta NormNum Qq
initialize registerTraceClass `CancelDenoms
namespace CancelDenoms
theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α}
(h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by
rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1,
← mul_assoc n2, mul_comm n2, mul_assoc, h2]
#align cancel_factors.mul_subst CancelDenoms.mul_subst
theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α}
(h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by
rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul]
#align cancel_factors.div_subst CancelDenoms.div_subst
theorem cancel_factors_eq_div {α} [Field α] {n e e' : α}
(h : n * e = e') (h2 : n ≠ 0) : e = e' / n :=
eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h
#align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div
theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *]
#align cancel_factors.add_subst CancelDenoms.add_subst
theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg]
#align cancel_factors.sub_subst CancelDenoms.sub_subst
theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*]
#align cancel_factors.neg_subst CancelDenoms.neg_subst
theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ}
(h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by
rw [← h2, ← h1, mul_pow, mul_assoc]
| Mathlib/Tactic/CancelDenoms/Core.lean | 70 | 71 | theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) :
k * (e ⁻¹) = n := by | rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2]
|
import Mathlib.Analysis.NormedSpace.AddTorsor
import Mathlib.LinearAlgebra.AffineSpace.Ordered
import Mathlib.Topology.ContinuousFunction.Basic
import Mathlib.Topology.GDelta
import Mathlib.Analysis.NormedSpace.FunctionSeries
import Mathlib.Analysis.SpecificLimits.Basic
#align_import topology.urysohns_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {X : Type*} [TopologicalSpace X]
open Set Filter TopologicalSpace Topology Filter
open scoped Pointwise
namespace Urysohns
set_option linter.uppercaseLean3 false
structure CU {X : Type*} [TopologicalSpace X] (P : Set X → Prop) where
protected C : Set X
protected U : Set X
protected P_C : P C
protected closed_C : IsClosed C
protected open_U : IsOpen U
protected subset : C ⊆ U
protected hP : ∀ {c u : Set X}, IsClosed c → P c → IsOpen u → c ⊆ u →
∃ v, IsOpen v ∧ c ⊆ v ∧ closure v ⊆ u ∧ P (closure v)
#align urysohns.CU Urysohns.CU
namespace CU
variable {P : Set X → Prop}
@[simps C]
def left (c : CU P) : CU P where
C := c.C
U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose
closed_C := c.closed_C
P_C := c.P_C
open_U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.1
subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.1
hP := c.hP
#align urysohns.CU.left Urysohns.CU.left
@[simps U]
def right (c : CU P) : CU P where
C := closure (c.hP c.closed_C c.P_C c.open_U c.subset).choose
U := c.U
closed_C := isClosed_closure
P_C := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.2
open_U := c.open_U
subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.1
hP := c.hP
#align urysohns.CU.right Urysohns.CU.right
theorem left_U_subset_right_C (c : CU P) : c.left.U ⊆ c.right.C :=
subset_closure
#align urysohns.CU.left_U_subset_right_C Urysohns.CU.left_U_subset_right_C
theorem left_U_subset (c : CU P) : c.left.U ⊆ c.U :=
Subset.trans c.left_U_subset_right_C c.right.subset
#align urysohns.CU.left_U_subset Urysohns.CU.left_U_subset
theorem subset_right_C (c : CU P) : c.C ⊆ c.right.C :=
Subset.trans c.left.subset c.left_U_subset_right_C
#align urysohns.CU.subset_right_C Urysohns.CU.subset_right_C
noncomputable def approx : ℕ → CU P → X → ℝ
| 0, c, x => indicator c.Uᶜ 1 x
| n + 1, c, x => midpoint ℝ (approx n c.left x) (approx n c.right x)
#align urysohns.CU.approx Urysohns.CU.approx
theorem approx_of_mem_C (c : CU P) (n : ℕ) {x : X} (hx : x ∈ c.C) : c.approx n x = 0 := by
induction' n with n ihn generalizing c
· exact indicator_of_not_mem (fun (hU : x ∈ c.Uᶜ) => hU <| c.subset hx) _
· simp only [approx]
rw [ihn, ihn, midpoint_self]
exacts [c.subset_right_C hx, hx]
#align urysohns.CU.approx_of_mem_C Urysohns.CU.approx_of_mem_C
theorem approx_of_nmem_U (c : CU P) (n : ℕ) {x : X} (hx : x ∉ c.U) : c.approx n x = 1 := by
induction' n with n ihn generalizing c
· rw [← mem_compl_iff] at hx
exact indicator_of_mem hx _
· simp only [approx]
rw [ihn, ihn, midpoint_self]
exacts [hx, fun hU => hx <| c.left_U_subset hU]
#align urysohns.CU.approx_of_nmem_U Urysohns.CU.approx_of_nmem_U
theorem approx_nonneg (c : CU P) (n : ℕ) (x : X) : 0 ≤ c.approx n x := by
induction' n with n ihn generalizing c
· exact indicator_nonneg (fun _ _ => zero_le_one) _
· simp only [approx, midpoint_eq_smul_add, invOf_eq_inv]
refine mul_nonneg (inv_nonneg.2 zero_le_two) (add_nonneg ?_ ?_) <;> apply ihn
#align urysohns.CU.approx_nonneg Urysohns.CU.approx_nonneg
theorem approx_le_one (c : CU P) (n : ℕ) (x : X) : c.approx n x ≤ 1 := by
induction' n with n ihn generalizing c
· exact indicator_apply_le' (fun _ => le_rfl) fun _ => zero_le_one
· simp only [approx, midpoint_eq_smul_add, invOf_eq_inv, smul_eq_mul, ← div_eq_inv_mul]
have := add_le_add (ihn (left c)) (ihn (right c))
set_option tactic.skipAssignedInstances false in
norm_num at this
exact Iff.mpr (div_le_one zero_lt_two) this
#align urysohns.CU.approx_le_one Urysohns.CU.approx_le_one
theorem bddAbove_range_approx (c : CU P) (x : X) : BddAbove (range fun n => c.approx n x) :=
⟨1, fun _ ⟨n, hn⟩ => hn ▸ c.approx_le_one n x⟩
#align urysohns.CU.bdd_above_range_approx Urysohns.CU.bddAbove_range_approx
| Mathlib/Topology/UrysohnsLemma.lean | 199 | 207 | theorem approx_le_approx_of_U_sub_C {c₁ c₂ : CU P} (h : c₁.U ⊆ c₂.C) (n₁ n₂ : ℕ) (x : X) :
c₂.approx n₂ x ≤ c₁.approx n₁ x := by |
by_cases hx : x ∈ c₁.U
· calc
approx n₂ c₂ x = 0 := approx_of_mem_C _ _ (h hx)
_ ≤ approx n₁ c₁ x := approx_nonneg _ _ _
· calc
approx n₂ c₂ x ≤ 1 := approx_le_one _ _ _
_ = approx n₁ c₁ x := (approx_of_nmem_U _ _ hx).symm
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Topology.Order.ProjIcc
#align_import analysis.special_functions.trigonometric.inverse from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Topology Filter
open Set Filter
open Real
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] Porting note: not implemented
noncomputable def arcsin : ℝ → ℝ :=
Subtype.val ∘ IccExtend (neg_le_self zero_le_one) sinOrderIso.symm
#align real.arcsin Real.arcsin
theorem arcsin_mem_Icc (x : ℝ) : arcsin x ∈ Icc (-(π / 2)) (π / 2) :=
Subtype.coe_prop _
#align real.arcsin_mem_Icc Real.arcsin_mem_Icc
@[simp]
theorem range_arcsin : range arcsin = Icc (-(π / 2)) (π / 2) := by
rw [arcsin, range_comp Subtype.val]
simp [Icc]
#align real.range_arcsin Real.range_arcsin
theorem arcsin_le_pi_div_two (x : ℝ) : arcsin x ≤ π / 2 :=
(arcsin_mem_Icc x).2
#align real.arcsin_le_pi_div_two Real.arcsin_le_pi_div_two
theorem neg_pi_div_two_le_arcsin (x : ℝ) : -(π / 2) ≤ arcsin x :=
(arcsin_mem_Icc x).1
#align real.neg_pi_div_two_le_arcsin Real.neg_pi_div_two_le_arcsin
theorem arcsin_projIcc (x : ℝ) :
arcsin (projIcc (-1) 1 (neg_le_self zero_le_one) x) = arcsin x := by
rw [arcsin, Function.comp_apply, IccExtend_val, Function.comp_apply, IccExtend,
Function.comp_apply]
#align real.arcsin_proj_Icc Real.arcsin_projIcc
theorem sin_arcsin' {x : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) : sin (arcsin x) = x := by
simpa [arcsin, IccExtend_of_mem _ _ hx, -OrderIso.apply_symm_apply] using
Subtype.ext_iff.1 (sinOrderIso.apply_symm_apply ⟨x, hx⟩)
#align real.sin_arcsin' Real.sin_arcsin'
theorem sin_arcsin {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : sin (arcsin x) = x :=
sin_arcsin' ⟨hx₁, hx₂⟩
#align real.sin_arcsin Real.sin_arcsin
theorem arcsin_sin' {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : arcsin (sin x) = x :=
injOn_sin (arcsin_mem_Icc _) hx <| by rw [sin_arcsin (neg_one_le_sin _) (sin_le_one _)]
#align real.arcsin_sin' Real.arcsin_sin'
theorem arcsin_sin {x : ℝ} (hx₁ : -(π / 2) ≤ x) (hx₂ : x ≤ π / 2) : arcsin (sin x) = x :=
arcsin_sin' ⟨hx₁, hx₂⟩
#align real.arcsin_sin Real.arcsin_sin
theorem strictMonoOn_arcsin : StrictMonoOn arcsin (Icc (-1) 1) :=
(Subtype.strictMono_coe _).comp_strictMonoOn <|
sinOrderIso.symm.strictMono.strictMonoOn_IccExtend _
#align real.strict_mono_on_arcsin Real.strictMonoOn_arcsin
theorem monotone_arcsin : Monotone arcsin :=
(Subtype.mono_coe _).comp <| sinOrderIso.symm.monotone.IccExtend _
#align real.monotone_arcsin Real.monotone_arcsin
theorem injOn_arcsin : InjOn arcsin (Icc (-1) 1) :=
strictMonoOn_arcsin.injOn
#align real.inj_on_arcsin Real.injOn_arcsin
theorem arcsin_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arcsin x = arcsin y ↔ x = y :=
injOn_arcsin.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
#align real.arcsin_inj Real.arcsin_inj
@[continuity]
theorem continuous_arcsin : Continuous arcsin :=
continuous_subtype_val.comp sinOrderIso.symm.continuous.Icc_extend'
#align real.continuous_arcsin Real.continuous_arcsin
theorem continuousAt_arcsin {x : ℝ} : ContinuousAt arcsin x :=
continuous_arcsin.continuousAt
#align real.continuous_at_arcsin Real.continuousAt_arcsin
theorem arcsin_eq_of_sin_eq {x y : ℝ} (h₁ : sin x = y) (h₂ : x ∈ Icc (-(π / 2)) (π / 2)) :
arcsin y = x := by
subst y
exact injOn_sin (arcsin_mem_Icc _) h₂ (sin_arcsin' (sin_mem_Icc x))
#align real.arcsin_eq_of_sin_eq Real.arcsin_eq_of_sin_eq
@[simp]
theorem arcsin_zero : arcsin 0 = 0 :=
arcsin_eq_of_sin_eq sin_zero ⟨neg_nonpos.2 pi_div_two_pos.le, pi_div_two_pos.le⟩
#align real.arcsin_zero Real.arcsin_zero
@[simp]
theorem arcsin_one : arcsin 1 = π / 2 :=
arcsin_eq_of_sin_eq sin_pi_div_two <| right_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
#align real.arcsin_one Real.arcsin_one
theorem arcsin_of_one_le {x : ℝ} (hx : 1 ≤ x) : arcsin x = π / 2 := by
rw [← arcsin_projIcc, projIcc_of_right_le _ hx, Subtype.coe_mk, arcsin_one]
#align real.arcsin_of_one_le Real.arcsin_of_one_le
theorem arcsin_neg_one : arcsin (-1) = -(π / 2) :=
arcsin_eq_of_sin_eq (by rw [sin_neg, sin_pi_div_two]) <|
left_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
#align real.arcsin_neg_one Real.arcsin_neg_one
theorem arcsin_of_le_neg_one {x : ℝ} (hx : x ≤ -1) : arcsin x = -(π / 2) := by
rw [← arcsin_projIcc, projIcc_of_le_left _ hx, Subtype.coe_mk, arcsin_neg_one]
#align real.arcsin_of_le_neg_one Real.arcsin_of_le_neg_one
@[simp]
theorem arcsin_neg (x : ℝ) : arcsin (-x) = -arcsin x := by
rcases le_total x (-1) with hx₁ | hx₁
· rw [arcsin_of_le_neg_one hx₁, neg_neg, arcsin_of_one_le (le_neg.2 hx₁)]
rcases le_total 1 x with hx₂ | hx₂
· rw [arcsin_of_one_le hx₂, arcsin_of_le_neg_one (neg_le_neg hx₂)]
refine arcsin_eq_of_sin_eq ?_ ?_
· rw [sin_neg, sin_arcsin hx₁ hx₂]
· exact ⟨neg_le_neg (arcsin_le_pi_div_two _), neg_le.2 (neg_pi_div_two_le_arcsin _)⟩
#align real.arcsin_neg Real.arcsin_neg
theorem arcsin_le_iff_le_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y := by
rw [← arcsin_sin' hy, strictMonoOn_arcsin.le_iff_le hx (sin_mem_Icc _), arcsin_sin' hy]
#align real.arcsin_le_iff_le_sin Real.arcsin_le_iff_le_sin
theorem arcsin_le_iff_le_sin' {x y : ℝ} (hy : y ∈ Ico (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y := by
rcases le_total x (-1) with hx₁ | hx₁
· simp [arcsin_of_le_neg_one hx₁, hy.1, hx₁.trans (neg_one_le_sin _)]
cases' lt_or_le 1 x with hx₂ hx₂
· simp [arcsin_of_one_le hx₂.le, hy.2.not_le, (sin_le_one y).trans_lt hx₂]
exact arcsin_le_iff_le_sin ⟨hx₁, hx₂⟩ (mem_Icc_of_Ico hy)
#align real.arcsin_le_iff_le_sin' Real.arcsin_le_iff_le_sin'
theorem le_arcsin_iff_sin_le {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x ≤ arcsin y ↔ sin x ≤ y := by
rw [← neg_le_neg_iff, ← arcsin_neg,
arcsin_le_iff_le_sin ⟨neg_le_neg hy.2, neg_le.2 hy.1⟩ ⟨neg_le_neg hx.2, neg_le.2 hx.1⟩, sin_neg,
neg_le_neg_iff]
#align real.le_arcsin_iff_sin_le Real.le_arcsin_iff_sin_le
theorem le_arcsin_iff_sin_le' {x y : ℝ} (hx : x ∈ Ioc (-(π / 2)) (π / 2)) :
x ≤ arcsin y ↔ sin x ≤ y := by
rw [← neg_le_neg_iff, ← arcsin_neg, arcsin_le_iff_le_sin' ⟨neg_le_neg hx.2, neg_lt.2 hx.1⟩,
sin_neg, neg_le_neg_iff]
#align real.le_arcsin_iff_sin_le' Real.le_arcsin_iff_sin_le'
theorem arcsin_lt_iff_lt_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le hy hx).trans not_le
#align real.arcsin_lt_iff_lt_sin Real.arcsin_lt_iff_lt_sin
theorem arcsin_lt_iff_lt_sin' {x y : ℝ} (hy : y ∈ Ioc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le' hy).trans not_le
#align real.arcsin_lt_iff_lt_sin' Real.arcsin_lt_iff_lt_sin'
theorem lt_arcsin_iff_sin_lt {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin hy hx).trans not_le
#align real.lt_arcsin_iff_sin_lt Real.lt_arcsin_iff_sin_lt
theorem lt_arcsin_iff_sin_lt' {x y : ℝ} (hx : x ∈ Ico (-(π / 2)) (π / 2)) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin' hx).trans not_le
#align real.lt_arcsin_iff_sin_lt' Real.lt_arcsin_iff_sin_lt'
theorem arcsin_eq_iff_eq_sin {x y : ℝ} (hy : y ∈ Ioo (-(π / 2)) (π / 2)) :
arcsin x = y ↔ x = sin y := by
simp only [le_antisymm_iff, arcsin_le_iff_le_sin' (mem_Ico_of_Ioo hy),
le_arcsin_iff_sin_le' (mem_Ioc_of_Ioo hy)]
#align real.arcsin_eq_iff_eq_sin Real.arcsin_eq_iff_eq_sin
@[simp]
theorem arcsin_nonneg {x : ℝ} : 0 ≤ arcsin x ↔ 0 ≤ x :=
(le_arcsin_iff_sin_le' ⟨neg_lt_zero.2 pi_div_two_pos, pi_div_two_pos.le⟩).trans <| by
rw [sin_zero]
#align real.arcsin_nonneg Real.arcsin_nonneg
@[simp]
theorem arcsin_nonpos {x : ℝ} : arcsin x ≤ 0 ↔ x ≤ 0 :=
neg_nonneg.symm.trans <| arcsin_neg x ▸ arcsin_nonneg.trans neg_nonneg
#align real.arcsin_nonpos Real.arcsin_nonpos
@[simp]
theorem arcsin_eq_zero_iff {x : ℝ} : arcsin x = 0 ↔ x = 0 := by simp [le_antisymm_iff]
#align real.arcsin_eq_zero_iff Real.arcsin_eq_zero_iff
@[simp]
theorem zero_eq_arcsin_iff {x} : 0 = arcsin x ↔ x = 0 :=
eq_comm.trans arcsin_eq_zero_iff
#align real.zero_eq_arcsin_iff Real.zero_eq_arcsin_iff
@[simp]
theorem arcsin_pos {x : ℝ} : 0 < arcsin x ↔ 0 < x :=
lt_iff_lt_of_le_iff_le arcsin_nonpos
#align real.arcsin_pos Real.arcsin_pos
@[simp]
theorem arcsin_lt_zero {x : ℝ} : arcsin x < 0 ↔ x < 0 :=
lt_iff_lt_of_le_iff_le arcsin_nonneg
#align real.arcsin_lt_zero Real.arcsin_lt_zero
@[simp]
theorem arcsin_lt_pi_div_two {x : ℝ} : arcsin x < π / 2 ↔ x < 1 :=
(arcsin_lt_iff_lt_sin' (right_mem_Ioc.2 <| neg_lt_self pi_div_two_pos)).trans <| by
rw [sin_pi_div_two]
#align real.arcsin_lt_pi_div_two Real.arcsin_lt_pi_div_two
@[simp]
theorem neg_pi_div_two_lt_arcsin {x : ℝ} : -(π / 2) < arcsin x ↔ -1 < x :=
(lt_arcsin_iff_sin_lt' <| left_mem_Ico.2 <| neg_lt_self pi_div_two_pos).trans <| by
rw [sin_neg, sin_pi_div_two]
#align real.neg_pi_div_two_lt_arcsin Real.neg_pi_div_two_lt_arcsin
@[simp]
theorem arcsin_eq_pi_div_two {x : ℝ} : arcsin x = π / 2 ↔ 1 ≤ x :=
⟨fun h => not_lt.1 fun h' => (arcsin_lt_pi_div_two.2 h').ne h, arcsin_of_one_le⟩
#align real.arcsin_eq_pi_div_two Real.arcsin_eq_pi_div_two
@[simp]
theorem pi_div_two_eq_arcsin {x} : π / 2 = arcsin x ↔ 1 ≤ x :=
eq_comm.trans arcsin_eq_pi_div_two
#align real.pi_div_two_eq_arcsin Real.pi_div_two_eq_arcsin
@[simp]
theorem pi_div_two_le_arcsin {x} : π / 2 ≤ arcsin x ↔ 1 ≤ x :=
(arcsin_le_pi_div_two x).le_iff_eq.trans pi_div_two_eq_arcsin
#align real.pi_div_two_le_arcsin Real.pi_div_two_le_arcsin
@[simp]
theorem arcsin_eq_neg_pi_div_two {x : ℝ} : arcsin x = -(π / 2) ↔ x ≤ -1 :=
⟨fun h => not_lt.1 fun h' => (neg_pi_div_two_lt_arcsin.2 h').ne' h, arcsin_of_le_neg_one⟩
#align real.arcsin_eq_neg_pi_div_two Real.arcsin_eq_neg_pi_div_two
@[simp]
theorem neg_pi_div_two_eq_arcsin {x} : -(π / 2) = arcsin x ↔ x ≤ -1 :=
eq_comm.trans arcsin_eq_neg_pi_div_two
#align real.neg_pi_div_two_eq_arcsin Real.neg_pi_div_two_eq_arcsin
@[simp]
theorem arcsin_le_neg_pi_div_two {x} : arcsin x ≤ -(π / 2) ↔ x ≤ -1 :=
(neg_pi_div_two_le_arcsin x).le_iff_eq.trans arcsin_eq_neg_pi_div_two
#align real.arcsin_le_neg_pi_div_two Real.arcsin_le_neg_pi_div_two
@[simp]
theorem pi_div_four_le_arcsin {x} : π / 4 ≤ arcsin x ↔ √2 / 2 ≤ x := by
rw [← sin_pi_div_four, le_arcsin_iff_sin_le']
have := pi_pos
constructor <;> linarith
#align real.pi_div_four_le_arcsin Real.pi_div_four_le_arcsin
theorem mapsTo_sin_Ioo : MapsTo sin (Ioo (-(π / 2)) (π / 2)) (Ioo (-1) 1) := fun x h => by
rwa [mem_Ioo, ← arcsin_lt_pi_div_two, ← neg_pi_div_two_lt_arcsin, arcsin_sin h.1.le h.2.le]
#align real.maps_to_sin_Ioo Real.mapsTo_sin_Ioo
@[simp]
def sinPartialHomeomorph : PartialHomeomorph ℝ ℝ where
toFun := sin
invFun := arcsin
source := Ioo (-(π / 2)) (π / 2)
target := Ioo (-1) 1
map_source' := mapsTo_sin_Ioo
map_target' _ hy := ⟨neg_pi_div_two_lt_arcsin.2 hy.1, arcsin_lt_pi_div_two.2 hy.2⟩
left_inv' _ hx := arcsin_sin hx.1.le hx.2.le
right_inv' _ hy := sin_arcsin hy.1.le hy.2.le
open_source := isOpen_Ioo
open_target := isOpen_Ioo
continuousOn_toFun := continuous_sin.continuousOn
continuousOn_invFun := continuous_arcsin.continuousOn
#align real.sin_local_homeomorph Real.sinPartialHomeomorph
theorem cos_arcsin_nonneg (x : ℝ) : 0 ≤ cos (arcsin x) :=
cos_nonneg_of_mem_Icc ⟨neg_pi_div_two_le_arcsin _, arcsin_le_pi_div_two _⟩
#align real.cos_arcsin_nonneg Real.cos_arcsin_nonneg
-- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`.
theorem cos_arcsin (x : ℝ) : cos (arcsin x) = √(1 - x ^ 2) := by
by_cases hx₁ : -1 ≤ x; swap
· rw [not_le] at hx₁
rw [arcsin_of_le_neg_one hx₁.le, cos_neg, cos_pi_div_two, sqrt_eq_zero_of_nonpos]
nlinarith
by_cases hx₂ : x ≤ 1; swap
· rw [not_le] at hx₂
rw [arcsin_of_one_le hx₂.le, cos_pi_div_two, sqrt_eq_zero_of_nonpos]
nlinarith
have : sin (arcsin x) ^ 2 + cos (arcsin x) ^ 2 = 1 := sin_sq_add_cos_sq (arcsin x)
rw [← eq_sub_iff_add_eq', ← sqrt_inj (sq_nonneg _) (sub_nonneg.2 (sin_sq_le_one (arcsin x))), sq,
sqrt_mul_self (cos_arcsin_nonneg _)] at this
rw [this, sin_arcsin hx₁ hx₂]
#align real.cos_arcsin Real.cos_arcsin
-- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`.
theorem tan_arcsin (x : ℝ) : tan (arcsin x) = x / √(1 - x ^ 2) := by
rw [tan_eq_sin_div_cos, cos_arcsin]
by_cases hx₁ : -1 ≤ x; swap
· have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith)
rw [h]
simp
by_cases hx₂ : x ≤ 1; swap
· have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith)
rw [h]
simp
rw [sin_arcsin hx₁ hx₂]
#align real.tan_arcsin Real.tan_arcsin
-- @[pp_nodot] Porting note: not implemented
noncomputable def arccos (x : ℝ) : ℝ :=
π / 2 - arcsin x
#align real.arccos Real.arccos
theorem arccos_eq_pi_div_two_sub_arcsin (x : ℝ) : arccos x = π / 2 - arcsin x :=
rfl
#align real.arccos_eq_pi_div_two_sub_arcsin Real.arccos_eq_pi_div_two_sub_arcsin
theorem arcsin_eq_pi_div_two_sub_arccos (x : ℝ) : arcsin x = π / 2 - arccos x := by simp [arccos]
#align real.arcsin_eq_pi_div_two_sub_arccos Real.arcsin_eq_pi_div_two_sub_arccos
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Inverse.lean | 349 | 350 | theorem arccos_le_pi (x : ℝ) : arccos x ≤ π := by |
unfold arccos; linarith [neg_pi_div_two_le_arcsin x]
|
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.Perm
import Mathlib.GroupTheory.Perm.Finite
import Mathlib.GroupTheory.Perm.List
#align_import group_theory.perm.cycle.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open Equiv Function Finset
variable {ι α β : Type*}
namespace Equiv.Perm
section SameCycle
variable {f g : Perm α} {p : α → Prop} {x y z : α}
def SameCycle (f : Perm α) (x y : α) : Prop :=
∃ i : ℤ, (f ^ i) x = y
#align equiv.perm.same_cycle Equiv.Perm.SameCycle
@[refl]
theorem SameCycle.refl (f : Perm α) (x : α) : SameCycle f x x :=
⟨0, rfl⟩
#align equiv.perm.same_cycle.refl Equiv.Perm.SameCycle.refl
theorem SameCycle.rfl : SameCycle f x x :=
SameCycle.refl _ _
#align equiv.perm.same_cycle.rfl Equiv.Perm.SameCycle.rfl
protected theorem _root_.Eq.sameCycle (h : x = y) (f : Perm α) : f.SameCycle x y := by rw [h]
#align eq.same_cycle Eq.sameCycle
@[symm]
theorem SameCycle.symm : SameCycle f x y → SameCycle f y x := fun ⟨i, hi⟩ =>
⟨-i, by rw [zpow_neg, ← hi, inv_apply_self]⟩
#align equiv.perm.same_cycle.symm Equiv.Perm.SameCycle.symm
theorem sameCycle_comm : SameCycle f x y ↔ SameCycle f y x :=
⟨SameCycle.symm, SameCycle.symm⟩
#align equiv.perm.same_cycle_comm Equiv.Perm.sameCycle_comm
@[trans]
theorem SameCycle.trans : SameCycle f x y → SameCycle f y z → SameCycle f x z :=
fun ⟨i, hi⟩ ⟨j, hj⟩ => ⟨j + i, by rw [zpow_add, mul_apply, hi, hj]⟩
#align equiv.perm.same_cycle.trans Equiv.Perm.SameCycle.trans
variable (f) in
theorem SameCycle.equivalence : Equivalence (SameCycle f) :=
⟨SameCycle.refl f, SameCycle.symm, SameCycle.trans⟩
def SameCycle.setoid (f : Perm α) : Setoid α where
iseqv := SameCycle.equivalence f
@[simp]
theorem sameCycle_one : SameCycle 1 x y ↔ x = y := by simp [SameCycle]
#align equiv.perm.same_cycle_one Equiv.Perm.sameCycle_one
@[simp]
theorem sameCycle_inv : SameCycle f⁻¹ x y ↔ SameCycle f x y :=
(Equiv.neg _).exists_congr_left.trans <| by simp [SameCycle]
#align equiv.perm.same_cycle_inv Equiv.Perm.sameCycle_inv
alias ⟨SameCycle.of_inv, SameCycle.inv⟩ := sameCycle_inv
#align equiv.perm.same_cycle.of_inv Equiv.Perm.SameCycle.of_inv
#align equiv.perm.same_cycle.inv Equiv.Perm.SameCycle.inv
@[simp]
theorem sameCycle_conj : SameCycle (g * f * g⁻¹) x y ↔ SameCycle f (g⁻¹ x) (g⁻¹ y) :=
exists_congr fun i => by simp [conj_zpow, eq_inv_iff_eq]
#align equiv.perm.same_cycle_conj Equiv.Perm.sameCycle_conj
theorem SameCycle.conj : SameCycle f x y → SameCycle (g * f * g⁻¹) (g x) (g y) := by
simp [sameCycle_conj]
#align equiv.perm.same_cycle.conj Equiv.Perm.SameCycle.conj
theorem SameCycle.apply_eq_self_iff : SameCycle f x y → (f x = x ↔ f y = y) := fun ⟨i, hi⟩ => by
rw [← hi, ← mul_apply, ← zpow_one_add, add_comm, zpow_add_one, mul_apply,
(f ^ i).injective.eq_iff]
#align equiv.perm.same_cycle.apply_eq_self_iff Equiv.Perm.SameCycle.apply_eq_self_iff
theorem SameCycle.eq_of_left (h : SameCycle f x y) (hx : IsFixedPt f x) : x = y :=
let ⟨_, hn⟩ := h
(hx.perm_zpow _).eq.symm.trans hn
#align equiv.perm.same_cycle.eq_of_left Equiv.Perm.SameCycle.eq_of_left
theorem SameCycle.eq_of_right (h : SameCycle f x y) (hy : IsFixedPt f y) : x = y :=
h.eq_of_left <| h.apply_eq_self_iff.2 hy
#align equiv.perm.same_cycle.eq_of_right Equiv.Perm.SameCycle.eq_of_right
@[simp]
theorem sameCycle_apply_left : SameCycle f (f x) y ↔ SameCycle f x y :=
(Equiv.addRight 1).exists_congr_left.trans <| by
simp [zpow_sub, SameCycle, Int.add_neg_one, Function.comp]
#align equiv.perm.same_cycle_apply_left Equiv.Perm.sameCycle_apply_left
@[simp]
theorem sameCycle_apply_right : SameCycle f x (f y) ↔ SameCycle f x y := by
rw [sameCycle_comm, sameCycle_apply_left, sameCycle_comm]
#align equiv.perm.same_cycle_apply_right Equiv.Perm.sameCycle_apply_right
@[simp]
theorem sameCycle_inv_apply_left : SameCycle f (f⁻¹ x) y ↔ SameCycle f x y := by
rw [← sameCycle_apply_left, apply_inv_self]
#align equiv.perm.same_cycle_inv_apply_left Equiv.Perm.sameCycle_inv_apply_left
@[simp]
theorem sameCycle_inv_apply_right : SameCycle f x (f⁻¹ y) ↔ SameCycle f x y := by
rw [← sameCycle_apply_right, apply_inv_self]
#align equiv.perm.same_cycle_inv_apply_right Equiv.Perm.sameCycle_inv_apply_right
@[simp]
theorem sameCycle_zpow_left {n : ℤ} : SameCycle f ((f ^ n) x) y ↔ SameCycle f x y :=
(Equiv.addRight (n : ℤ)).exists_congr_left.trans <| by simp [SameCycle, zpow_add]
#align equiv.perm.same_cycle_zpow_left Equiv.Perm.sameCycle_zpow_left
@[simp]
theorem sameCycle_zpow_right {n : ℤ} : SameCycle f x ((f ^ n) y) ↔ SameCycle f x y := by
rw [sameCycle_comm, sameCycle_zpow_left, sameCycle_comm]
#align equiv.perm.same_cycle_zpow_right Equiv.Perm.sameCycle_zpow_right
@[simp]
| Mathlib/GroupTheory/Perm/Cycle/Basic.lean | 157 | 158 | theorem sameCycle_pow_left {n : ℕ} : SameCycle f ((f ^ n) x) y ↔ SameCycle f x y := by |
rw [← zpow_natCast, sameCycle_zpow_left]
|
import Mathlib.Data.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
assert_not_exists MonoidWithZero
namespace List
variable {α : Type*} [DecidableEq α]
def nextOr : ∀ (_ : List α) (_ _ : α), α
| [], _, default => default
| [_], _, default => default
-- Handles the not-found and the wraparound case
| y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default
#align list.next_or List.nextOr
@[simp]
theorem nextOr_nil (x d : α) : nextOr [] x d = d :=
rfl
#align list.next_or_nil List.nextOr_nil
@[simp]
theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d :=
rfl
#align list.next_or_singleton List.nextOr_singleton
@[simp]
theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y :=
if_pos rfl
#align list.next_or_self_cons_cons List.nextOr_self_cons_cons
theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) :
nextOr (y :: xs) x d = nextOr xs x d := by
cases' xs with z zs
· rfl
· exact if_neg h
#align list.next_or_cons_of_ne List.nextOr_cons_of_ne
theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs)
(x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by
induction' xs with y ys IH
· cases x_mem
cases' ys with z zs
· simp at x_mem x_ne
contradiction
by_cases h : x = y
· rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons]
· rw [nextOr, nextOr, IH]
· simpa [h] using x_mem
· simpa using x_ne
#align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne
theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by
induction' xs with y ys IH
· simp at h
cases' ys with z zs
· simp at h
· by_cases hx : x = y
· simp [hx]
· rw [nextOr_cons_of_ne _ _ _ _ hx] at h
simpa [hx] using IH h
#align list.mem_of_next_or_ne List.mem_of_nextOr_ne
theorem nextOr_concat {xs : List α} {x : α} (d : α) (h : x ∉ xs) : nextOr (xs ++ [x]) x d = d := by
induction' xs with z zs IH
· simp
· obtain ⟨hz, hzs⟩ := not_or.mp (mt mem_cons.2 h)
rw [cons_append, nextOr_cons_of_ne _ _ _ _ hz, IH hzs]
#align list.next_or_concat List.nextOr_concat
theorem nextOr_mem {xs : List α} {x d : α} (hd : d ∈ xs) : nextOr xs x d ∈ xs := by
revert hd
suffices ∀ xs' : List α, (∀ x ∈ xs, x ∈ xs') → d ∈ xs' → nextOr xs x d ∈ xs' by
exact this xs fun _ => id
intro xs' hxs' hd
induction' xs with y ys ih
· exact hd
cases' ys with z zs
· exact hd
rw [nextOr]
split_ifs with h
· exact hxs' _ (mem_cons_of_mem _ (mem_cons_self _ _))
· exact ih fun _ h => hxs' _ (mem_cons_of_mem _ h)
#align list.next_or_mem List.nextOr_mem
def next (l : List α) (x : α) (h : x ∈ l) : α :=
nextOr l x (l.get ⟨0, length_pos_of_mem h⟩)
#align list.next List.next
def prev : ∀ l : List α, ∀ x ∈ l, α
| [], _, h => by simp at h
| [y], _, _ => y
| y :: z :: xs, x, h =>
if hx : x = y then getLast (z :: xs) (cons_ne_nil _ _)
else if x = z then y else prev (z :: xs) x (by simpa [hx] using h)
#align list.prev List.prev
variable (l : List α) (x : α)
@[simp]
theorem next_singleton (x y : α) (h : x ∈ [y]) : next [y] x h = y :=
rfl
#align list.next_singleton List.next_singleton
@[simp]
theorem prev_singleton (x y : α) (h : x ∈ [y]) : prev [y] x h = y :=
rfl
#align list.prev_singleton List.prev_singleton
theorem next_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) :
next (y :: z :: l) x h = z := by rw [next, nextOr, if_pos hx]
#align list.next_cons_cons_eq' List.next_cons_cons_eq'
@[simp]
theorem next_cons_cons_eq (z : α) (h : x ∈ x :: z :: l) : next (x :: z :: l) x h = z :=
next_cons_cons_eq' l x x z h rfl
#align list.next_cons_cons_eq List.next_cons_cons_eq
theorem next_ne_head_ne_getLast (h : x ∈ l) (y : α) (h : x ∈ y :: l) (hy : x ≠ y)
(hx : x ≠ getLast (y :: l) (cons_ne_nil _ _)) :
next (y :: l) x h = next l x (by simpa [hy] using h) := by
rw [next, next, nextOr_cons_of_ne _ _ _ _ hy, nextOr_eq_nextOr_of_mem_of_ne]
· rwa [getLast_cons] at hx
exact ne_nil_of_mem (by assumption)
· rwa [getLast_cons] at hx
#align list.next_ne_head_ne_last List.next_ne_head_ne_getLast
theorem next_cons_concat (y : α) (hy : x ≠ y) (hx : x ∉ l)
(h : x ∈ y :: l ++ [x] := mem_append_right _ (mem_singleton_self x)) :
next (y :: l ++ [x]) x h = y := by
rw [next, nextOr_concat]
· rfl
· simp [hy, hx]
#align list.next_cons_concat List.next_cons_concat
theorem next_getLast_cons (h : x ∈ l) (y : α) (h : x ∈ y :: l) (hy : x ≠ y)
(hx : x = getLast (y :: l) (cons_ne_nil _ _)) (hl : Nodup l) : next (y :: l) x h = y := by
rw [next, get, ← dropLast_append_getLast (cons_ne_nil y l), hx, nextOr_concat]
subst hx
intro H
obtain ⟨⟨_ | k, hk⟩, hk'⟩ := get_of_mem H
· rw [← Option.some_inj] at hk'
rw [← get?_eq_get, dropLast_eq_take, get?_take, get?_zero, head?_cons,
Option.some_inj] at hk'
· exact hy (Eq.symm hk')
rw [length_cons, Nat.pred_succ]
exact length_pos_of_mem (by assumption)
suffices k + 1 = l.length by simp [this] at hk
cases' l with hd tl
· simp at hk
· rw [nodup_iff_injective_get] at hl
rw [length, Nat.succ_inj']
refine Fin.val_eq_of_eq <| @hl ⟨k, Nat.lt_of_succ_lt <| by simpa using hk⟩
⟨tl.length, by simp⟩ ?_
rw [← Option.some_inj] at hk'
rw [← get?_eq_get, dropLast_eq_take, get?_take, get?, get?_eq_get, Option.some_inj] at hk'
· rw [hk']
simp only [getLast_eq_get, length_cons, ge_iff_le, Nat.succ_sub_succ_eq_sub,
nonpos_iff_eq_zero, add_eq_zero_iff, and_false, Nat.sub_zero, get_cons_succ]
simpa using hk
#align list.next_last_cons List.next_getLast_cons
theorem prev_getLast_cons' (y : α) (hxy : x ∈ y :: l) (hx : x = y) :
prev (y :: l) x hxy = getLast (y :: l) (cons_ne_nil _ _) := by cases l <;> simp [prev, hx]
#align list.prev_last_cons' List.prev_getLast_cons'
@[simp]
theorem prev_getLast_cons (h : x ∈ x :: l) :
prev (x :: l) x h = getLast (x :: l) (cons_ne_nil _ _) :=
prev_getLast_cons' l x x h rfl
#align list.prev_last_cons List.prev_getLast_cons
theorem prev_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) :
prev (y :: z :: l) x h = getLast (z :: l) (cons_ne_nil _ _) := by rw [prev, dif_pos hx]
#align list.prev_cons_cons_eq' List.prev_cons_cons_eq'
--@[simp] Porting note (#10618): `simp` can prove it
theorem prev_cons_cons_eq (z : α) (h : x ∈ x :: z :: l) :
prev (x :: z :: l) x h = getLast (z :: l) (cons_ne_nil _ _) :=
prev_cons_cons_eq' l x x z h rfl
#align list.prev_cons_cons_eq List.prev_cons_cons_eq
theorem prev_cons_cons_of_ne' (y z : α) (h : x ∈ y :: z :: l) (hy : x ≠ y) (hz : x = z) :
prev (y :: z :: l) x h = y := by
cases l
· simp [prev, hy, hz]
· rw [prev, dif_neg hy, if_pos hz]
#align list.prev_cons_cons_of_ne' List.prev_cons_cons_of_ne'
theorem prev_cons_cons_of_ne (y : α) (h : x ∈ y :: x :: l) (hy : x ≠ y) :
prev (y :: x :: l) x h = y :=
prev_cons_cons_of_ne' _ _ _ _ _ hy rfl
#align list.prev_cons_cons_of_ne List.prev_cons_cons_of_ne
theorem prev_ne_cons_cons (y z : α) (h : x ∈ y :: z :: l) (hy : x ≠ y) (hz : x ≠ z) :
prev (y :: z :: l) x h = prev (z :: l) x (by simpa [hy] using h) := by
cases l
· simp [hy, hz] at h
· rw [prev, dif_neg hy, if_neg hz]
#align list.prev_ne_cons_cons List.prev_ne_cons_cons
theorem next_mem (h : x ∈ l) : l.next x h ∈ l :=
nextOr_mem (get_mem _ _ _)
#align list.next_mem List.next_mem
theorem prev_mem (h : x ∈ l) : l.prev x h ∈ l := by
cases' l with hd tl
· simp at h
induction' tl with hd' tl hl generalizing hd
· simp
· by_cases hx : x = hd
· simp only [hx, prev_cons_cons_eq]
exact mem_cons_of_mem _ (getLast_mem _)
· rw [prev, dif_neg hx]
split_ifs with hm
· exact mem_cons_self _ _
· exact mem_cons_of_mem _ (hl _ _)
#align list.prev_mem List.prev_mem
-- Porting note (#10756): new theorem
theorem next_get : ∀ (l : List α) (_h : Nodup l) (i : Fin l.length),
next l (l.get i) (get_mem _ _ _) = l.get ⟨(i + 1) % l.length,
Nat.mod_lt _ (i.1.zero_le.trans_lt i.2)⟩
| [], _, i => by simpa using i.2
| [_], _, _ => by simp
| x::y::l, _h, ⟨0, h0⟩ => by
have h₁ : get (x :: y :: l) { val := 0, isLt := h0 } = x := by simp
rw [next_cons_cons_eq' _ _ _ _ _ h₁]
simp
| x::y::l, hn, ⟨i+1, hi⟩ => by
have hx' : (x :: y :: l).get ⟨i+1, hi⟩ ≠ x := by
intro H
suffices (i + 1 : ℕ) = 0 by simpa
rw [nodup_iff_injective_get] at hn
refine Fin.val_eq_of_eq (@hn ⟨i + 1, hi⟩ ⟨0, by simp⟩ ?_)
simpa using H
have hi' : i ≤ l.length := Nat.le_of_lt_succ (Nat.succ_lt_succ_iff.1 hi)
rcases hi'.eq_or_lt with (hi' | hi')
· subst hi'
rw [next_getLast_cons]
· simp [hi', get]
· rw [get_cons_succ]; exact get_mem _ _ _
· exact hx'
· simp [getLast_eq_get]
· exact hn.of_cons
· rw [next_ne_head_ne_getLast _ _ _ _ _ hx']
· simp only [get_cons_succ]
rw [next_get (y::l), ← get_cons_succ (a := x)]
· congr
dsimp
rw [Nat.mod_eq_of_lt (Nat.succ_lt_succ_iff.2 hi'),
Nat.mod_eq_of_lt (Nat.succ_lt_succ_iff.2 (Nat.succ_lt_succ_iff.2 hi'))]
· simp [Nat.mod_eq_of_lt (Nat.succ_lt_succ_iff.2 hi'), Nat.succ_eq_add_one, hi']
· exact hn.of_cons
· rw [getLast_eq_get]
intro h
have := nodup_iff_injective_get.1 hn h
simp at this; simp [this] at hi'
· rw [get_cons_succ]; exact get_mem _ _ _
set_option linter.deprecated false in
@[deprecated next_get (since := "2023-01-27")]
theorem next_nthLe (l : List α) (h : Nodup l) (n : ℕ) (hn : n < l.length) :
next l (l.nthLe n hn) (nthLe_mem _ _ _) =
l.nthLe ((n + 1) % l.length) (Nat.mod_lt _ (n.zero_le.trans_lt hn)) :=
next_get l h ⟨n, hn⟩
#align list.next_nth_le List.next_nthLe
set_option linter.deprecated false in
theorem prev_nthLe (l : List α) (h : Nodup l) (n : ℕ) (hn : n < l.length) :
prev l (l.nthLe n hn) (nthLe_mem _ _ _) =
l.nthLe ((n + (l.length - 1)) % l.length) (Nat.mod_lt _ (n.zero_le.trans_lt hn)) := by
cases' l with x l
· simp at hn
induction' l with y l hl generalizing n x
· simp
· rcases n with (_ | _ | n)
· simp [Nat.add_succ_sub_one, add_zero, List.prev_cons_cons_eq, Nat.zero_eq, List.length,
List.nthLe, Nat.succ_add_sub_one, zero_add, getLast_eq_get,
Nat.mod_eq_of_lt (Nat.succ_lt_succ l.length.lt_succ_self)]
· simp only [mem_cons, nodup_cons] at h
push_neg at h
simp only [List.prev_cons_cons_of_ne _ _ _ _ h.left.left.symm, Nat.zero_eq, List.length,
List.nthLe, add_comm, eq_self_iff_true, Nat.succ_add_sub_one, Nat.mod_self, zero_add,
List.get]
· rw [prev_ne_cons_cons]
· convert hl n.succ y h.of_cons (Nat.le_of_succ_le_succ hn) using 1
have : ∀ k hk, (y :: l).nthLe k hk = (x :: y :: l).nthLe (k + 1) (Nat.succ_lt_succ hk) := by
intros
simp [List.nthLe]
rw [this]
congr
simp only [Nat.add_succ_sub_one, add_zero, length]
simp only [length, Nat.succ_lt_succ_iff] at hn
set k := l.length
rw [Nat.succ_add, ← Nat.add_succ, Nat.add_mod_right, Nat.succ_add, ← Nat.add_succ _ k,
Nat.add_mod_right, Nat.mod_eq_of_lt, Nat.mod_eq_of_lt]
· exact Nat.lt_succ_of_lt hn
· exact Nat.succ_lt_succ (Nat.lt_succ_of_lt hn)
· intro H
suffices n.succ.succ = 0 by simpa
rw [nodup_iff_nthLe_inj] at h
refine h _ _ hn Nat.succ_pos' ?_
simpa using H
· intro H
suffices n.succ.succ = 1 by simpa
rw [nodup_iff_nthLe_inj] at h
refine h _ _ hn (Nat.succ_lt_succ Nat.succ_pos') ?_
simpa using H
#align list.prev_nth_le List.prev_nthLe
set_option linter.deprecated false in
| Mathlib/Data/List/Cycle.lean | 357 | 361 | theorem pmap_next_eq_rotate_one (h : Nodup l) : (l.pmap l.next fun _ h => h) = l.rotate 1 := by |
apply List.ext_nthLe
· simp
· intros
rw [nthLe_pmap, nthLe_rotate, next_nthLe _ h]
|
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import ring_theory.graded_algebra.homogeneous_localization from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
noncomputable section
open DirectSum Pointwise
open DirectSum SetLike
variable {ι R A : Type*}
variable [AddCommMonoid ι] [DecidableEq ι]
variable [CommRing R] [CommRing A] [Algebra R A]
variable (𝒜 : ι → Submodule R A) [GradedAlgebra 𝒜]
variable (x : Submonoid A)
local notation "at " x => Localization x
namespace HomogeneousLocalization
section
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure NumDenSameDeg where
deg : ι
(num den : 𝒜 deg)
den_mem : (den : A) ∈ x
#align homogeneous_localization.num_denom_same_deg HomogeneousLocalization.NumDenSameDeg
end
namespace NumDenSameDeg
open SetLike.GradedMonoid Submodule
variable {𝒜}
@[ext]
| Mathlib/RingTheory/GradedAlgebra/HomogeneousLocalization.lean | 109 | 115 | theorem ext {c1 c2 : NumDenSameDeg 𝒜 x} (hdeg : c1.deg = c2.deg) (hnum : (c1.num : A) = c2.num)
(hden : (c1.den : A) = c2.den) : c1 = c2 := by |
rcases c1 with ⟨i1, ⟨n1, hn1⟩, ⟨d1, hd1⟩, h1⟩
rcases c2 with ⟨i2, ⟨n2, hn2⟩, ⟨d2, hd2⟩, h2⟩
dsimp only [Subtype.coe_mk] at *
subst hdeg hnum hden
congr
|
import Mathlib.Data.Fintype.Card
import Mathlib.Order.UpperLower.Basic
#align_import combinatorics.set_family.intersecting from "leanprover-community/mathlib"@"d90e4e186f1d18e375dcd4e5b5f6364b01cb3e46"
open Finset
variable {α : Type*}
namespace Set
section SemilatticeInf
variable [SemilatticeInf α] [OrderBot α] {s t : Set α} {a b c : α}
def Intersecting (s : Set α) : Prop :=
∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → ¬Disjoint a b
#align set.intersecting Set.Intersecting
@[mono]
theorem Intersecting.mono (h : t ⊆ s) (hs : s.Intersecting) : t.Intersecting := fun _a ha _b hb =>
hs (h ha) (h hb)
#align set.intersecting.mono Set.Intersecting.mono
theorem Intersecting.not_bot_mem (hs : s.Intersecting) : ⊥ ∉ s := fun h => hs h h disjoint_bot_left
#align set.intersecting.not_bot_mem Set.Intersecting.not_bot_mem
theorem Intersecting.ne_bot (hs : s.Intersecting) (ha : a ∈ s) : a ≠ ⊥ :=
ne_of_mem_of_not_mem ha hs.not_bot_mem
#align set.intersecting.ne_bot Set.Intersecting.ne_bot
theorem intersecting_empty : (∅ : Set α).Intersecting := fun _ => False.elim
#align set.intersecting_empty Set.intersecting_empty
@[simp]
theorem intersecting_singleton : ({a} : Set α).Intersecting ↔ a ≠ ⊥ := by simp [Intersecting]
#align set.intersecting_singleton Set.intersecting_singleton
protected theorem Intersecting.insert (hs : s.Intersecting) (ha : a ≠ ⊥)
(h : ∀ b ∈ s, ¬Disjoint a b) : (insert a s).Intersecting := by
rintro b (rfl | hb) c (rfl | hc)
· rwa [disjoint_self]
· exact h _ hc
· exact fun H => h _ hb H.symm
· exact hs hb hc
#align set.intersecting.insert Set.Intersecting.insert
theorem intersecting_insert :
(insert a s).Intersecting ↔ s.Intersecting ∧ a ≠ ⊥ ∧ ∀ b ∈ s, ¬Disjoint a b :=
⟨fun h =>
⟨h.mono <| subset_insert _ _, h.ne_bot <| mem_insert _ _, fun _b hb =>
h (mem_insert _ _) <| mem_insert_of_mem _ hb⟩,
fun h => h.1.insert h.2.1 h.2.2⟩
#align set.intersecting_insert Set.intersecting_insert
theorem intersecting_iff_pairwise_not_disjoint :
s.Intersecting ↔ (s.Pairwise fun a b => ¬Disjoint a b) ∧ s ≠ {⊥} := by
refine ⟨fun h => ⟨fun a ha b hb _ => h ha hb, ?_⟩, fun h a ha b hb hab => ?_⟩
· rintro rfl
exact intersecting_singleton.1 h rfl
have := h.1.eq ha hb (Classical.not_not.2 hab)
rw [this, disjoint_self] at hab
rw [hab] at hb
exact
h.2
(eq_singleton_iff_unique_mem.2
⟨hb, fun c hc => not_ne_iff.1 fun H => h.1 hb hc H.symm disjoint_bot_left⟩)
#align set.intersecting_iff_pairwise_not_disjoint Set.intersecting_iff_pairwise_not_disjoint
protected theorem Subsingleton.intersecting (hs : s.Subsingleton) : s.Intersecting ↔ s ≠ {⊥} :=
intersecting_iff_pairwise_not_disjoint.trans <| and_iff_right <| hs.pairwise _
#align set.subsingleton.intersecting Set.Subsingleton.intersecting
| Mathlib/Combinatorics/SetFamily/Intersecting.lean | 99 | 107 | theorem intersecting_iff_eq_empty_of_subsingleton [Subsingleton α] (s : Set α) :
s.Intersecting ↔ s = ∅ := by |
refine
subsingleton_of_subsingleton.intersecting.trans
⟨not_imp_comm.2 fun h => subsingleton_of_subsingleton.eq_singleton_of_mem ?_, ?_⟩
· obtain ⟨a, ha⟩ := nonempty_iff_ne_empty.2 h
rwa [Subsingleton.elim ⊥ a]
· rintro rfl
exact (Set.singleton_nonempty _).ne_empty.symm
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Data.Matrix.Basis
import Mathlib.Data.Matrix.DMatrix
import Mathlib.RingTheory.MatrixAlgebra
#align_import ring_theory.polynomial_algebra from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
universe u v w
open Polynomial TensorProduct
open Algebra.TensorProduct (algHomOfLinearMapTensorProduct includeLeft)
noncomputable section
variable (R A : Type*)
variable [CommSemiring R]
variable [Semiring A] [Algebra R A]
namespace PolyEquivTensor
-- Porting note: was `@[simps apply_apply]`
@[simps! apply_apply]
def toFunBilinear : A →ₗ[A] R[X] →ₗ[R] A[X] :=
LinearMap.toSpanSingleton A _ (aeval (Polynomial.X : A[X])).toLinearMap
#align poly_equiv_tensor.to_fun_bilinear PolyEquivTensor.toFunBilinear
theorem toFunBilinear_apply_eq_sum (a : A) (p : R[X]) :
toFunBilinear R A a p = p.sum fun n r => monomial n (a * algebraMap R A r) := by
simp only [toFunBilinear_apply_apply, aeval_def, eval₂_eq_sum, Polynomial.sum, Finset.smul_sum]
congr with i : 1
rw [← Algebra.smul_def, ← C_mul', mul_smul_comm, C_mul_X_pow_eq_monomial, ← Algebra.commutes,
← Algebra.smul_def, smul_monomial]
#align poly_equiv_tensor.to_fun_bilinear_apply_eq_sum PolyEquivTensor.toFunBilinear_apply_eq_sum
def toFunLinear : A ⊗[R] R[X] →ₗ[R] A[X] :=
TensorProduct.lift (toFunBilinear R A)
#align poly_equiv_tensor.to_fun_linear PolyEquivTensor.toFunLinear
@[simp]
theorem toFunLinear_tmul_apply (a : A) (p : R[X]) :
toFunLinear R A (a ⊗ₜ[R] p) = toFunBilinear R A a p :=
rfl
#align poly_equiv_tensor.to_fun_linear_tmul_apply PolyEquivTensor.toFunLinear_tmul_apply
-- We apparently need to provide the decidable instance here
-- in order to successfully rewrite by this lemma.
theorem toFunLinear_mul_tmul_mul_aux_1 (p : R[X]) (k : ℕ) (h : Decidable ¬p.coeff k = 0) (a : A) :
ite (¬coeff p k = 0) (a * (algebraMap R A) (coeff p k)) 0 =
a * (algebraMap R A) (coeff p k) := by classical split_ifs <;> simp [*]
#align poly_equiv_tensor.to_fun_linear_mul_tmul_mul_aux_1 PolyEquivTensor.toFunLinear_mul_tmul_mul_aux_1
theorem toFunLinear_mul_tmul_mul_aux_2 (k : ℕ) (a₁ a₂ : A) (p₁ p₂ : R[X]) :
a₁ * a₂ * (algebraMap R A) ((p₁ * p₂).coeff k) =
(Finset.antidiagonal k).sum fun x =>
a₁ * (algebraMap R A) (coeff p₁ x.1) * (a₂ * (algebraMap R A) (coeff p₂ x.2)) := by
simp_rw [mul_assoc, Algebra.commutes, ← Finset.mul_sum, mul_assoc, ← Finset.mul_sum]
congr
simp_rw [Algebra.commutes (coeff p₂ _), coeff_mul, map_sum, RingHom.map_mul]
#align poly_equiv_tensor.to_fun_linear_mul_tmul_mul_aux_2 PolyEquivTensor.toFunLinear_mul_tmul_mul_aux_2
theorem toFunLinear_mul_tmul_mul (a₁ a₂ : A) (p₁ p₂ : R[X]) :
(toFunLinear R A) ((a₁ * a₂) ⊗ₜ[R] (p₁ * p₂)) =
(toFunLinear R A) (a₁ ⊗ₜ[R] p₁) * (toFunLinear R A) (a₂ ⊗ₜ[R] p₂) := by
classical
simp only [toFunLinear_tmul_apply, toFunBilinear_apply_eq_sum]
ext k
simp_rw [coeff_sum, coeff_monomial, sum_def, Finset.sum_ite_eq', mem_support_iff, Ne]
conv_rhs => rw [coeff_mul]
simp_rw [finset_sum_coeff, coeff_monomial, Finset.sum_ite_eq', mem_support_iff, Ne, mul_ite,
mul_zero, ite_mul, zero_mul]
simp_rw [← ite_zero_mul (¬coeff p₁ _ = 0) (a₁ * (algebraMap R A) (coeff p₁ _))]
simp_rw [← mul_ite_zero (¬coeff p₂ _ = 0) _ (_ * _)]
simp_rw [toFunLinear_mul_tmul_mul_aux_1, toFunLinear_mul_tmul_mul_aux_2]
#align poly_equiv_tensor.to_fun_linear_mul_tmul_mul PolyEquivTensor.toFunLinear_mul_tmul_mul
theorem toFunLinear_one_tmul_one :
toFunLinear R A (1 ⊗ₜ[R] 1) = 1 := by
rw [toFunLinear_tmul_apply, toFunBilinear_apply_apply, Polynomial.aeval_one, one_smul]
#align poly_equiv_tensor.to_fun_linear_algebra_map_tmul_one PolyEquivTensor.toFunLinear_one_tmul_oneₓ
def toFunAlgHom : A ⊗[R] R[X] →ₐ[R] A[X] :=
algHomOfLinearMapTensorProduct (toFunLinear R A) (toFunLinear_mul_tmul_mul R A)
(toFunLinear_one_tmul_one R A)
#align poly_equiv_tensor.to_fun_alg_hom PolyEquivTensor.toFunAlgHom
@[simp]
theorem toFunAlgHom_apply_tmul (a : A) (p : R[X]) :
toFunAlgHom R A (a ⊗ₜ[R] p) = p.sum fun n r => monomial n (a * (algebraMap R A) r) :=
toFunBilinear_apply_eq_sum R A _ _
#align poly_equiv_tensor.to_fun_alg_hom_apply_tmul PolyEquivTensor.toFunAlgHom_apply_tmul
def invFun (p : A[X]) : A ⊗[R] R[X] :=
p.eval₂ (includeLeft : A →ₐ[R] A ⊗[R] R[X]) ((1 : A) ⊗ₜ[R] (X : R[X]))
#align poly_equiv_tensor.inv_fun PolyEquivTensor.invFun
@[simp]
theorem invFun_add {p q} : invFun R A (p + q) = invFun R A p + invFun R A q := by
simp only [invFun, eval₂_add]
#align poly_equiv_tensor.inv_fun_add PolyEquivTensor.invFun_add
theorem invFun_monomial (n : ℕ) (a : A) :
invFun R A (monomial n a) = (a ⊗ₜ[R] 1) * 1 ⊗ₜ[R] X ^ n :=
eval₂_monomial _ _
#align poly_equiv_tensor.inv_fun_monomial PolyEquivTensor.invFun_monomial
theorem left_inv (x : A ⊗ R[X]) : invFun R A ((toFunAlgHom R A) x) = x := by
refine TensorProduct.induction_on x ?_ ?_ ?_
· simp [invFun]
· intro a p
dsimp only [invFun]
rw [toFunAlgHom_apply_tmul, eval₂_sum]
simp_rw [eval₂_monomial, AlgHom.coe_toRingHom, Algebra.TensorProduct.tmul_pow, one_pow,
Algebra.TensorProduct.includeLeft_apply, Algebra.TensorProduct.tmul_mul_tmul, mul_one,
one_mul, ← Algebra.commutes, ← Algebra.smul_def, smul_tmul, sum_def, ← tmul_sum]
conv_rhs => rw [← sum_C_mul_X_pow_eq p]
simp only [Algebra.smul_def]
rfl
· intro p q hp hq
simp only [AlgHom.map_add, invFun_add, hp, hq]
#align poly_equiv_tensor.left_inv PolyEquivTensor.left_inv
| Mathlib/RingTheory/PolynomialAlgebra.lean | 163 | 171 | theorem right_inv (x : A[X]) : (toFunAlgHom R A) (invFun R A x) = x := by |
refine Polynomial.induction_on' x ?_ ?_
· intro p q hp hq
simp only [invFun_add, AlgHom.map_add, hp, hq]
· intro n a
rw [invFun_monomial, Algebra.TensorProduct.tmul_pow,
one_pow, Algebra.TensorProduct.tmul_mul_tmul, mul_one, one_mul, toFunAlgHom_apply_tmul,
X_pow_eq_monomial, sum_monomial_index] <;>
simp
|
import Mathlib.Analysis.NormedSpace.Star.GelfandDuality
import Mathlib.Topology.Algebra.StarSubalgebra
#align_import analysis.normed_space.star.continuous_functional_calculus from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004"
open scoped Pointwise ENNReal NNReal ComplexOrder
open WeakDual WeakDual.CharacterSpace elementalStarAlgebra
variable {A : Type*} [NormedRing A] [NormedAlgebra ℂ A]
variable [StarRing A] [CstarRing A] [StarModule ℂ A]
instance {R A : Type*} [CommRing R] [StarRing R] [NormedRing A] [Algebra R A] [StarRing A]
[ContinuousStar A] [StarModule R A] (a : A) [IsStarNormal a] :
NormedCommRing (elementalStarAlgebra R a) :=
{ SubringClass.toNormedRing (elementalStarAlgebra R a) with
mul_comm := mul_comm }
-- Porting note: these hack instances no longer seem to be necessary
#noalign elemental_star_algebra.complex.normed_algebra
variable [CompleteSpace A] (a : A) [IsStarNormal a] (S : StarSubalgebra ℂ A)
theorem spectrum_star_mul_self_of_isStarNormal :
spectrum ℂ (star a * a) ⊆ Set.Icc (0 : ℂ) ‖star a * a‖ := by
-- this instance should be found automatically, but without providing it Lean goes on a wild
-- goose chase when trying to apply `spectrum.gelfandTransform_eq`.
--letI := elementalStarAlgebra.Complex.normedAlgebra a
rcases subsingleton_or_nontrivial A with ⟨⟩
· simp only [spectrum.of_subsingleton, Set.empty_subset]
· set a' : elementalStarAlgebra ℂ a := ⟨a, self_mem ℂ a⟩
refine (spectrum.subset_starSubalgebra (star a' * a')).trans ?_
rw [← spectrum.gelfandTransform_eq (star a' * a'), ContinuousMap.spectrum_eq_range]
rintro - ⟨φ, rfl⟩
rw [gelfandTransform_apply_apply ℂ _ (star a' * a') φ, map_mul φ, map_star φ]
rw [Complex.eq_coe_norm_of_nonneg (star_mul_self_nonneg _), ← map_star, ← map_mul]
exact ⟨by positivity, Complex.real_le_real.2 (AlgHom.norm_apply_le_self φ (star a' * a'))⟩
#align spectrum_star_mul_self_of_is_star_normal spectrum_star_mul_self_of_isStarNormal
variable {a}
theorem elementalStarAlgebra.isUnit_of_isUnit_of_isStarNormal (h : IsUnit a) :
IsUnit (⟨a, self_mem ℂ a⟩ : elementalStarAlgebra ℂ a) := by
nontriviality A
set a' : elementalStarAlgebra ℂ a := ⟨a, self_mem ℂ a⟩
suffices IsUnit (star a' * a') from (IsUnit.mul_iff.1 this).2
replace h := (show Commute (star a) a from star_comm_self' a).isUnit_mul_iff.2 ⟨h.star, h⟩
have h₁ : (‖star a * a‖ : ℂ) ≠ 0 := Complex.ofReal_ne_zero.mpr (norm_ne_zero_iff.mpr h.ne_zero)
set u : Units (elementalStarAlgebra ℂ a) :=
Units.map (algebraMap ℂ (elementalStarAlgebra ℂ a)).toMonoidHom (Units.mk0 _ h₁)
refine ⟨u.ofNearby _ ?_, rfl⟩
simp only [u, Units.coe_map, Units.val_inv_eq_inv_val, RingHom.toMonoidHom_eq_coe, Units.val_mk0,
Units.coe_map_inv, MonoidHom.coe_coe, norm_algebraMap', norm_inv, Complex.norm_eq_abs,
Complex.abs_ofReal, abs_norm, inv_inv]
--RingHom.coe_monoidHom,
-- Complex.abs_ofReal, map_inv₀,
--rw [norm_algebraMap', inv_inv, Complex.norm_eq_abs, abs_norm]I-
have h₂ : ∀ z ∈ spectrum ℂ (algebraMap ℂ A ‖star a * a‖ - star a * a), ‖z‖₊ < ‖star a * a‖₊ := by
intro z hz
rw [← spectrum.singleton_sub_eq, Set.singleton_sub] at hz
have h₃ : z ∈ Set.Icc (0 : ℂ) ‖star a * a‖ := by
replace hz := Set.image_subset _ (spectrum_star_mul_self_of_isStarNormal a) hz
rwa [Set.image_const_sub_Icc, sub_self, sub_zero] at hz
refine lt_of_le_of_ne (Complex.real_le_real.1 <| Complex.eq_coe_norm_of_nonneg h₃.1 ▸ h₃.2) ?_
· intro hz'
replace hz' := congr_arg (fun x : ℝ≥0 => ((x : ℝ) : ℂ)) hz'
simp only [coe_nnnorm] at hz'
rw [← Complex.eq_coe_norm_of_nonneg h₃.1] at hz'
obtain ⟨w, hw₁, hw₂⟩ := hz
refine (spectrum.zero_not_mem_iff ℂ).mpr h ?_
rw [hz', sub_eq_self] at hw₂
rwa [hw₂] at hw₁
exact ENNReal.coe_lt_coe.1
(calc
(‖star a' * a' - algebraMap ℂ _ ‖star a * a‖‖₊ : ℝ≥0∞) =
‖algebraMap ℂ A ‖star a * a‖ - star a * a‖₊ := by
rw [← nnnorm_neg, neg_sub]; rfl
_ = spectralRadius ℂ (algebraMap ℂ A ‖star a * a‖ - star a * a) := by
refine (IsSelfAdjoint.spectralRadius_eq_nnnorm ?_).symm
rw [IsSelfAdjoint, star_sub, star_mul, star_star, ← algebraMap_star_comm]
congr!
exact RCLike.conj_ofReal _
_ < ‖star a * a‖₊ := spectrum.spectralRadius_lt_of_forall_lt _ h₂)
#align elemental_star_algebra.is_unit_of_is_unit_of_is_star_normal elementalStarAlgebra.isUnit_of_isUnit_of_isStarNormal
| Mathlib/Analysis/NormedSpace/Star/ContinuousFunctionalCalculus.lean | 179 | 191 | theorem StarSubalgebra.isUnit_coe_inv_mem {S : StarSubalgebra ℂ A} (hS : IsClosed (S : Set A))
{x : A} (h : IsUnit x) (hxS : x ∈ S) : ↑h.unit⁻¹ ∈ S := by |
have hx := h.star.mul h
suffices this : (↑hx.unit⁻¹ : A) ∈ S by
rw [← one_mul (↑h.unit⁻¹ : A), ← hx.unit.inv_mul, mul_assoc, IsUnit.unit_spec, mul_assoc,
h.mul_val_inv, mul_one]
exact mul_mem this (star_mem hxS)
refine le_of_isClosed_of_mem ℂ hS (mul_mem (star_mem hxS) hxS) ?_
haveI := (IsSelfAdjoint.star_mul_self x).isStarNormal
have hx' := elementalStarAlgebra.isUnit_of_isUnit_of_isStarNormal hx
convert (↑hx'.unit⁻¹ : elementalStarAlgebra ℂ (star x * x)).prop using 1
refine left_inv_eq_right_inv hx.unit.inv_mul ?_
exact (congr_arg ((↑) : _ → A) hx'.unit.mul_inv)
|
import Mathlib.Geometry.Manifold.ContMDiff.Defs
open Set Filter Function
open scoped Topology Manifold
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare a smooth manifold `M` over the pair `(E, H)`.
{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]
-- declare a smooth manifold `M'` over the pair `(E', H')`.
{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']
-- declare a manifold `M''` over the pair `(E'', H'')`.
{E'' : Type*}
[NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H'']
{I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M'']
-- declare functions, sets, points and smoothness indices
{e : PartialHomeomorph M H}
{e' : PartialHomeomorph M' H'} {f f₁ : M → M'} {s s₁ t : Set M} {x : M} {m n : ℕ∞}
variable {I I'}
section Composition
theorem ContMDiffWithinAt.comp {t : Set M'} {g : M' → M''} (x : M)
(hg : ContMDiffWithinAt I' I'' n g t (f x)) (hf : ContMDiffWithinAt I I' n f s x)
(st : MapsTo f s t) : ContMDiffWithinAt I I'' n (g ∘ f) s x := by
rw [contMDiffWithinAt_iff] at hg hf ⊢
refine ⟨hg.1.comp hf.1 st, ?_⟩
set e := extChartAt I x
set e' := extChartAt I' (f x)
have : e' (f x) = (writtenInExtChartAt I I' x f) (e x) := by simp only [e, e', mfld_simps]
rw [this] at hg
have A : ∀ᶠ y in 𝓝[e.symm ⁻¹' s ∩ range I] e x, f (e.symm y) ∈ t ∧ f (e.symm y) ∈ e'.source := by
simp only [e, ← map_extChartAt_nhdsWithin, eventually_map]
filter_upwards [hf.1.tendsto (extChartAt_source_mem_nhds I' (f x)),
inter_mem_nhdsWithin s (extChartAt_source_mem_nhds I x)]
rintro x' (hfx' : f x' ∈ e'.source) ⟨hx's, hx'⟩
simp only [e.map_source hx', true_and_iff, e.left_inv hx', st hx's, *]
refine ((hg.2.comp _ (hf.2.mono inter_subset_right) inter_subset_left).mono_of_mem
(inter_mem ?_ self_mem_nhdsWithin)).congr_of_eventuallyEq ?_ ?_
· filter_upwards [A]
rintro x' ⟨ht, hfx'⟩
simp only [*, mem_preimage, writtenInExtChartAt, (· ∘ ·), mem_inter_iff, e'.left_inv,
true_and_iff]
exact mem_range_self _
· filter_upwards [A]
rintro x' ⟨-, hfx'⟩
simp only [*, (· ∘ ·), writtenInExtChartAt, e'.left_inv]
· simp only [e, e', writtenInExtChartAt, (· ∘ ·), mem_extChartAt_source, e.left_inv, e'.left_inv]
#align cont_mdiff_within_at.comp ContMDiffWithinAt.comp
theorem ContMDiffWithinAt.comp_of_eq {t : Set M'} {g : M' → M''} {x : M} {y : M'}
(hg : ContMDiffWithinAt I' I'' n g t y) (hf : ContMDiffWithinAt I I' n f s x)
(st : MapsTo f s t) (hx : f x = y) : ContMDiffWithinAt I I'' n (g ∘ f) s x := by
subst hx; exact hg.comp x hf st
#align cont_mdiff_within_at.comp_of_eq ContMDiffWithinAt.comp_of_eq
nonrec theorem SmoothWithinAt.comp {t : Set M'} {g : M' → M''} (x : M)
(hg : SmoothWithinAt I' I'' g t (f x)) (hf : SmoothWithinAt I I' f s x) (st : MapsTo f s t) :
SmoothWithinAt I I'' (g ∘ f) s x :=
hg.comp x hf st
#align smooth_within_at.comp SmoothWithinAt.comp
theorem ContMDiffOn.comp {t : Set M'} {g : M' → M''} (hg : ContMDiffOn I' I'' n g t)
(hf : ContMDiffOn I I' n f s) (st : s ⊆ f ⁻¹' t) : ContMDiffOn I I'' n (g ∘ f) s := fun x hx =>
(hg _ (st hx)).comp x (hf x hx) st
#align cont_mdiff_on.comp ContMDiffOn.comp
nonrec theorem SmoothOn.comp {t : Set M'} {g : M' → M''} (hg : SmoothOn I' I'' g t)
(hf : SmoothOn I I' f s) (st : s ⊆ f ⁻¹' t) : SmoothOn I I'' (g ∘ f) s :=
hg.comp hf st
#align smooth_on.comp SmoothOn.comp
theorem ContMDiffOn.comp' {t : Set M'} {g : M' → M''} (hg : ContMDiffOn I' I'' n g t)
(hf : ContMDiffOn I I' n f s) : ContMDiffOn I I'' n (g ∘ f) (s ∩ f ⁻¹' t) :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
#align cont_mdiff_on.comp' ContMDiffOn.comp'
nonrec theorem SmoothOn.comp' {t : Set M'} {g : M' → M''} (hg : SmoothOn I' I'' g t)
(hf : SmoothOn I I' f s) : SmoothOn I I'' (g ∘ f) (s ∩ f ⁻¹' t) :=
hg.comp' hf
#align smooth_on.comp' SmoothOn.comp'
| Mathlib/Geometry/Manifold/ContMDiff/Basic.lean | 119 | 122 | theorem ContMDiff.comp {g : M' → M''} (hg : ContMDiff I' I'' n g) (hf : ContMDiff I I' n f) :
ContMDiff I I'' n (g ∘ f) := by |
rw [← contMDiffOn_univ] at hf hg ⊢
exact hg.comp hf subset_preimage_univ
|
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Nat.Choose.Multinomial
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical NNReal Nat
universe u uD uE uF uG
open Set Fin Filter Function
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{s s₁ t u : Set E}
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux {Du Eu Fu Gu : Type u}
[NormedAddCommGroup Du] [NormedSpace 𝕜 Du] [NormedAddCommGroup Eu] [NormedSpace 𝕜 Eu]
[NormedAddCommGroup Fu] [NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu]
(B : Eu →L[𝕜] Fu →L[𝕜] Gu) {f : Du → Eu} {g : Du → Fu} {n : ℕ} {s : Set Du} {x : Du}
(hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
induction' n with n IH generalizing Eu Fu Gu
· simp only [Nat.zero_eq, norm_iteratedFDerivWithin_zero, zero_add, Finset.range_one,
Finset.sum_singleton, Nat.choose_self, Nat.cast_one, one_mul, Nat.sub_zero, ← mul_assoc]
apply B.le_opNorm₂
· have In : (n : ℕ∞) + 1 ≤ n.succ := by simp only [Nat.cast_succ, le_refl]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ Eu ((Du →L[𝕜] Fu) →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I1 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n + 1 - i) g s x‖ := by
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B.precompR Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
IH _ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompR_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i hi => ?_
rw [Nat.succ_sub (Nat.lt_succ_iff.1 (Finset.mem_range.1 hi)),
← norm_iteratedFDerivWithin_fderivWithin hs hx]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ (Du →L[𝕜] Eu) (Fu →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I2 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 (i + 1) f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B.precompL Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
IH _ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompL_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i _ => ?_
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx]
have J : iteratedFDerivWithin 𝕜 n
(fun y : Du => fderivWithin 𝕜 (fun y : Du => B (f y) (g y)) s y) s x =
iteratedFDerivWithin 𝕜 n (fun y => B.precompR Du (f y)
(fderivWithin 𝕜 g s y) + B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x := by
apply iteratedFDerivWithin_congr (fun y hy => ?_) hx
have L : (1 : ℕ∞) ≤ n.succ := by
simpa only [ENat.coe_one, Nat.one_le_cast] using Nat.succ_pos n
exact B.fderivWithin_of_bilinear (hf.differentiableOn L y hy) (hg.differentiableOn L y hy)
(hs y hy)
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx, J]
have A : ContDiffOn 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s :=
(B.precompR Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂
(hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
have A' : ContDiffOn 𝕜 n (fun y => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s :=
(B.precompL Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂ (hf.fderivWithin hs In)
(hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
rw [iteratedFDerivWithin_add_apply' A A' hs hx]
apply (norm_add_le _ _).trans ((add_le_add I1 I2).trans (le_of_eq ?_))
simp_rw [← mul_add, mul_assoc]
congr 1
exact (Finset.sum_choose_succ_mul
(fun i j => ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 j g s x‖) n).symm
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_aux ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
let Du : Type max uD uE uF uG := ULift.{max uE uF uG, uD} D
let Eu : Type max uD uE uF uG := ULift.{max uD uF uG, uE} E
let Fu : Type max uD uE uF uG := ULift.{max uD uE uG, uF} F
let Gu : Type max uD uE uF uG := ULift.{max uD uE uF, uG} G
have isoD : Du ≃ₗᵢ[𝕜] D := LinearIsometryEquiv.ulift 𝕜 D
have isoE : Eu ≃ₗᵢ[𝕜] E := LinearIsometryEquiv.ulift 𝕜 E
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
set fu : Du → Eu := isoE.symm ∘ f ∘ isoD with hfu
set gu : Du → Fu := isoF.symm ∘ g ∘ isoD with hgu
-- lift the bilinear map `B` to a bilinear map `Bu` on the lifted spaces.
set Bu₀ : Eu →L[𝕜] Fu →L[𝕜] G := ((B.comp (isoE : Eu →L[𝕜] E)).flip.comp (isoF : Fu →L[𝕜] F)).flip
with hBu₀
let Bu : Eu →L[𝕜] Fu →L[𝕜] Gu :=
ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀
have hBu : Bu = ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀ := rfl
have Bu_eq : (fun y => Bu (fu y) (gu y)) = isoG.symm ∘ (fun y => B (f y) (g y)) ∘ isoD := by
ext1 y
simp [hBu, hBu₀, hfu, hgu]
-- All norms are preserved by the lifting process.
have Bu_le : ‖Bu‖ ≤ ‖B‖ := by
refine' ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg B) fun y => _
refine' ContinuousLinearMap.opNorm_le_bound _ (by positivity) fun x => _
simp only [hBu, hBu₀, compL_apply, coe_comp', Function.comp_apply,
ContinuousLinearEquiv.coe_coe, LinearIsometryEquiv.coe_coe, flip_apply,
LinearIsometryEquiv.norm_map]
calc
‖B (isoE y) (isoF x)‖ ≤ ‖B (isoE y)‖ * ‖isoF x‖ := ContinuousLinearMap.le_opNorm _ _
_ ≤ ‖B‖ * ‖isoE y‖ * ‖isoF x‖ := by gcongr; apply ContinuousLinearMap.le_opNorm
_ = ‖B‖ * ‖y‖ * ‖x‖ := by simp only [LinearIsometryEquiv.norm_map]
let su := isoD ⁻¹' s
have hsu : UniqueDiffOn 𝕜 su := isoD.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 hs
let xu := isoD.symm x
have hxu : xu ∈ su := by
simpa only [xu, su, Set.mem_preimage, LinearIsometryEquiv.apply_symm_apply] using hx
have xu_x : isoD xu = x := by simp only [xu, LinearIsometryEquiv.apply_symm_apply]
have hfu : ContDiffOn 𝕜 n fu su :=
isoE.symm.contDiff.comp_contDiffOn
((hf.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have hgu : ContDiffOn 𝕜 n gu su :=
isoF.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu su xu‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have Ngu : ∀ i, ‖iteratedFDerivWithin 𝕜 i gu su xu‖ = ‖iteratedFDerivWithin 𝕜 i g s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have NBu :
‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ =
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ := by
rw [Bu_eq]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
-- state the bound for the lifted objects, and deduce the original bound from it.
have : ‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ ≤
‖Bu‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i fu su xu‖ *
‖iteratedFDerivWithin 𝕜 (n - i) gu su xu‖ :=
Bu.norm_iteratedFDerivWithin_le_of_bilinear_aux hfu hgu hsu hxu
simp only [Nfu, Ngu, NBu] at this
exact this.trans (mul_le_mul_of_nonneg_right Bu_le (by positivity))
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G) {f : D → E}
{g : D → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ
(mem_univ x) hn
#align continuous_linear_map.norm_iterated_fderiv_le_of_bilinear ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
(B : E →L[𝕜] F →L[𝕜] G) {f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
apply (B.norm_iteratedFDerivWithin_le_of_bilinear hf hg hs hx hn).trans
exact mul_le_of_le_one_left (by positivity) hB
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_of_le_one ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤
∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one hf.contDiffOn hg.contDiffOn
uniqueDiffOn_univ (mem_univ x) hn hB
#align continuous_linear_map.norm_iterated_fderiv_le_of_bilinear_of_le_one ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one
section
variable {𝕜' : Type*} [NormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F]
theorem norm_iteratedFDerivWithin_smul_le {f : E → 𝕜'} {g : E → F} {N : ℕ∞}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) {x : E} (hx : x ∈ s)
{n : ℕ} (hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => f y • g y) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
(ContinuousLinearMap.lsmul 𝕜 𝕜' :
𝕜' →L[𝕜] F →L[𝕜] F).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
hf hg hs hx hn ContinuousLinearMap.opNorm_lsmul_le
#align norm_iterated_fderiv_within_smul_le norm_iteratedFDerivWithin_smul_le
theorem norm_iteratedFDeriv_smul_le {f : E → 𝕜'} {g : E → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f)
(hg : ContDiff 𝕜 N g) (x : E) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => f y • g y) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ :=
(ContinuousLinearMap.lsmul 𝕜 𝕜' : 𝕜' →L[𝕜] F →L[𝕜] F).norm_iteratedFDeriv_le_of_bilinear_of_le_one
hf hg x hn ContinuousLinearMap.opNorm_lsmul_le
#align norm_iterated_fderiv_smul_le norm_iteratedFDeriv_smul_le
end
section
variable {ι : Type*} {A : Type*} [NormedRing A] [NormedAlgebra 𝕜 A] {A' : Type*} [NormedCommRing A']
[NormedAlgebra 𝕜 A']
theorem norm_iteratedFDerivWithin_mul_le {f : E → A} {g : E → A} {N : ℕ∞} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) {x : E} (hx : x ∈ s) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => f y * g y) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
(ContinuousLinearMap.mul 𝕜 A :
A →L[𝕜] A →L[𝕜] A).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
hf hg hs hx hn (ContinuousLinearMap.opNorm_mul_le _ _)
#align norm_iterated_fderiv_within_mul_le norm_iteratedFDerivWithin_mul_le
theorem norm_iteratedFDeriv_mul_le {f : E → A} {g : E → A} {N : ℕ∞} (hf : ContDiff 𝕜 N f)
(hg : ContDiff 𝕜 N g) (x : E) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => f y * g y) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact norm_iteratedFDerivWithin_mul_le
hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ (mem_univ x) hn
#align norm_iterated_fderiv_mul_le norm_iteratedFDeriv_mul_le
-- TODO: Add `norm_iteratedFDeriv[Within]_list_prod_le` for non-commutative `NormedRing A`.
theorem norm_iteratedFDerivWithin_prod_le [DecidableEq ι] [NormOneClass A'] {u : Finset ι}
{f : ι → E → A'} {N : ℕ∞} (hf : ∀ i ∈ u, ContDiffOn 𝕜 N (f i) s) (hs : UniqueDiffOn 𝕜 s) {x : E}
(hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDerivWithin 𝕜 n (∏ j ∈ u, f j ·) s x‖ ≤
∑ p ∈ u.sym n, (p : Multiset ι).multinomial *
∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j p) (f j) s x‖ := by
induction u using Finset.induction generalizing n with
| empty =>
cases n with
| zero => simp [Sym.eq_nil_of_card_zero]
| succ n => simp [iteratedFDerivWithin_succ_const _ _ hs hx]
| @insert i u hi IH =>
conv => lhs; simp only [Finset.prod_insert hi]
simp only [Finset.mem_insert, forall_eq_or_imp] at hf
refine le_trans (norm_iteratedFDerivWithin_mul_le hf.1 (contDiffOn_prod hf.2) hs hx hn) ?_
rw [← Finset.sum_coe_sort (Finset.sym _ _)]
rw [Finset.sum_equiv (Finset.symInsertEquiv hi) (t := Finset.univ)
(g := (fun v ↦ v.multinomial *
∏ j ∈ insert i u, ‖iteratedFDerivWithin 𝕜 (v.count j) (f j) s x‖) ∘
Sym.toMultiset ∘ Subtype.val ∘ (Finset.symInsertEquiv hi).symm)
(by simp) (by simp only [← comp_apply (g := Finset.symInsertEquiv hi), comp.assoc]; simp)]
rw [← Finset.univ_sigma_univ, Finset.sum_sigma, Finset.sum_range]
simp only [comp_apply, Finset.symInsertEquiv_symm_apply_coe]
refine Finset.sum_le_sum ?_
intro m _
specialize IH hf.2 (n := n - m) (le_trans (WithTop.coe_le_coe.mpr (n.sub_le m)) hn)
refine le_trans (mul_le_mul_of_nonneg_left IH (by simp [mul_nonneg])) ?_
rw [Finset.mul_sum, ← Finset.sum_coe_sort]
refine Finset.sum_le_sum ?_
simp only [Finset.mem_univ, forall_true_left, Subtype.forall, Finset.mem_sym_iff]
intro p hp
refine le_of_eq ?_
rw [Finset.prod_insert hi]
have hip : i ∉ p := mt (hp i) hi
rw [Sym.count_coe_fill_self_of_not_mem hip, Sym.multinomial_coe_fill_of_not_mem hip]
suffices ∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j p) (f j) s x‖ =
∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j (Sym.fill i m p)) (f j) s x‖ by
rw [this, Nat.cast_mul]
ring
refine Finset.prod_congr rfl ?_
intro j hj
have hji : j ≠ i := mt (· ▸ hj) hi
rw [Sym.count_coe_fill_of_ne hji]
theorem norm_iteratedFDeriv_prod_le [DecidableEq ι] [NormOneClass A'] {u : Finset ι}
{f : ι → E → A'} {N : ℕ∞} (hf : ∀ i ∈ u, ContDiff 𝕜 N (f i)) {x : E} {n : ℕ}
(hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (∏ j ∈ u, f j ·) x‖ ≤
∑ p ∈ u.sym n, (p : Multiset ι).multinomial *
∏ j ∈ u, ‖iteratedFDeriv 𝕜 ((p : Multiset ι).count j) (f j) x‖ := by
simpa [iteratedFDerivWithin_univ] using
norm_iteratedFDerivWithin_prod_le (fun i hi ↦ (hf i hi).contDiffOn) uniqueDiffOn_univ
(mem_univ x) hn
end
theorem norm_iteratedFDerivWithin_comp_le_aux {Fu Gu : Type u} [NormedAddCommGroup Fu]
[NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu] {g : Fu → Gu} {f : E → Fu} {n : ℕ}
{s : Set E} {t : Set Fu} {x : E} (hg : ContDiffOn 𝕜 n g t) (hf : ContDiffOn 𝕜 n f s)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hst : MapsTo f s t) (hx : x ∈ s) {C : ℝ}
{D : ℝ} (hC : ∀ i, i ≤ n → ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDerivWithin 𝕜 i f s x‖ ≤ D ^ i) :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ ≤ n ! * C * D ^ n := by
induction' n using Nat.case_strong_induction_on with n IH generalizing Gu
· simpa [norm_iteratedFDerivWithin_zero, Nat.factorial_zero, algebraMap.coe_one, one_mul,
pow_zero, mul_one, comp_apply] using hC 0 le_rfl
have M : (n : ℕ∞) < n.succ := Nat.cast_lt.2 n.lt_succ_self
have Cnonneg : 0 ≤ C := (norm_nonneg _).trans (hC 0 bot_le)
have Dnonneg : 0 ≤ D := by
have : 1 ≤ n + 1 := by simp only [le_add_iff_nonneg_left, zero_le']
simpa only [pow_one] using (norm_nonneg _).trans (hD 1 le_rfl this)
-- use the inductive assumption to bound the derivatives of `g' ∘ f`.
have I : ∀ i ∈ Finset.range (n + 1),
‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 g t ∘ f) s x‖ ≤ i ! * C * D ^ i := by
intro i hi
simp only [Finset.mem_range_succ_iff] at hi
apply IH i hi
· apply hg.fderivWithin ht
simp only [Nat.cast_succ]
exact add_le_add_right (Nat.cast_le.2 hi) _
· apply hf.of_le (Nat.cast_le.2 (hi.trans n.le_succ))
· intro j hj
have : ‖iteratedFDerivWithin 𝕜 j (fderivWithin 𝕜 g t) t (f x)‖ =
‖iteratedFDerivWithin 𝕜 (j + 1) g t (f x)‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right ht (hst hx), comp_apply,
LinearIsometryEquiv.norm_map]
rw [this]
exact hC (j + 1) (add_le_add (hj.trans hi) le_rfl)
· intro j hj h'j
exact hD j hj (h'j.trans (hi.trans n.le_succ))
-- reformulate `hD` as a bound for the derivatives of `f'`.
have J : ∀ i, ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ ≤ D ^ (n - i + 1) := by
intro i
have : ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ =
‖iteratedFDerivWithin 𝕜 (n - i + 1) f s x‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right hs hx, comp_apply, LinearIsometryEquiv.norm_map]
rw [this]
apply hD
· simp only [le_add_iff_nonneg_left, zero_le']
· apply Nat.succ_le_succ tsub_le_self
-- Now put these together: first, notice that we have to bound `D^n (g' ∘ f ⬝ f')`.
calc
‖iteratedFDerivWithin 𝕜 (n + 1) (g ∘ f) s x‖ =
‖iteratedFDerivWithin 𝕜 n (fun y : E => fderivWithin 𝕜 (g ∘ f) s y) s x‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right hs hx, comp_apply,
LinearIsometryEquiv.norm_map]
_ = ‖iteratedFDerivWithin 𝕜 n (fun y : E => ContinuousLinearMap.compL 𝕜 E Fu Gu
(fderivWithin 𝕜 g t (f y)) (fderivWithin 𝕜 f s y)) s x‖ := by
have L : (1 : ℕ∞) ≤ n.succ := by simpa only [ENat.coe_one, Nat.one_le_cast] using n.succ_pos
congr 1
refine iteratedFDerivWithin_congr (fun y hy => ?_) hx _
apply fderivWithin.comp _ _ _ hst (hs y hy)
· exact hg.differentiableOn L _ (hst hy)
· exact hf.differentiableOn L _ hy
-- bound it using the fact that the composition of linear maps is a bilinear operation,
-- for which we have bounds for the`n`-th derivative.
_ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 g t ∘ f) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ := by
have A : ContDiffOn 𝕜 n (fderivWithin 𝕜 g t ∘ f) s := by
apply ContDiffOn.comp _ (hf.of_le M.le) hst
apply hg.fderivWithin ht
simp only [Nat.cast_succ, le_refl]
have B : ContDiffOn 𝕜 n (fderivWithin 𝕜 f s) s := by
apply hf.fderivWithin hs
simp only [Nat.cast_succ, le_refl]
exact (ContinuousLinearMap.compL 𝕜 E Fu Gu).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
A B hs hx le_rfl (ContinuousLinearMap.norm_compL_le 𝕜 E Fu Gu)
-- bound each of the terms using the estimates on previous derivatives (that use the inductive
-- assumption for `g' ∘ f`).
_ ≤ ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * (i ! * C * D ^ i) * D ^ (n - i + 1) := by
gcongr with i hi
· simp only [mul_assoc (n.choose i : ℝ)]
exact I i hi
· exact J i
-- We are left with trivial algebraic manipulations to see that this is smaller than
-- the claimed bound.
_ = ∑ i ∈ Finset.range (n + 1),
-- Porting note: had to insert a few more explicit type ascriptions in this and similar
-- expressions.
(n ! : ℝ) * ((i ! : ℝ)⁻¹ * i !) * C * (D ^ i * D ^ (n - i + 1)) * ((n - i)! : ℝ)⁻¹ := by
congr! 1 with i hi
simp only [Nat.cast_choose ℝ (Finset.mem_range_succ_iff.1 hi), div_eq_inv_mul, mul_inv]
ring
_ = ∑ i ∈ Finset.range (n + 1), (n ! : ℝ) * 1 * C * D ^ (n + 1) * ((n - i)! : ℝ)⁻¹ := by
congr! with i hi
· apply inv_mul_cancel
simpa only [Ne, Nat.cast_eq_zero] using i.factorial_ne_zero
· rw [← pow_add]
congr 1
rw [Nat.add_succ, Nat.succ_inj']
exact Nat.add_sub_of_le (Finset.mem_range_succ_iff.1 hi)
_ ≤ ∑ i ∈ Finset.range (n + 1), (n ! : ℝ) * 1 * C * D ^ (n + 1) * 1 := by
gcongr with i
apply inv_le_one
simpa only [Nat.one_le_cast] using (n - i).factorial_pos
_ = (n + 1)! * C * D ^ (n + 1) := by
simp only [mul_assoc, mul_one, Finset.sum_const, Finset.card_range, nsmul_eq_mul,
Nat.factorial_succ, Nat.cast_mul]
#align norm_iterated_fderiv_within_comp_le_aux norm_iteratedFDerivWithin_comp_le_aux
theorem norm_iteratedFDerivWithin_comp_le {g : F → G} {f : E → F} {n : ℕ} {s : Set E} {t : Set F}
{x : E} {N : ℕ∞} (hg : ContDiffOn 𝕜 N g t) (hf : ContDiffOn 𝕜 N f s) (hn : (n : ℕ∞) ≤ N)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hst : MapsTo f s t) (hx : x ∈ s) {C : ℝ}
{D : ℝ} (hC : ∀ i, i ≤ n → ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDerivWithin 𝕜 i f s x‖ ≤ D ^ i) :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ ≤ n ! * C * D ^ n := by
let Fu : Type max uF uG := ULift.{uG, uF} F
let Gu : Type max uF uG := ULift.{uF, uG} G
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
let fu : E → Fu := isoF.symm ∘ f
let gu : Fu → Gu := isoG.symm ∘ g ∘ isoF
let tu := isoF ⁻¹' t
have htu : UniqueDiffOn 𝕜 tu := isoF.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 ht
have hstu : MapsTo fu s tu := fun y hy ↦ by
simpa only [fu, tu, mem_preimage, comp_apply, LinearIsometryEquiv.apply_symm_apply] using hst hy
have Ffu : isoF (fu x) = f x := by
simp only [fu, comp_apply, LinearIsometryEquiv.apply_symm_apply]
-- All norms are preserved by the lifting process.
have hfu : ContDiffOn 𝕜 n fu s := isoF.symm.contDiff.comp_contDiffOn (hf.of_le hn)
have hgu : ContDiffOn 𝕜 n gu tu :=
isoG.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoF : Fu →L[𝕜] F))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := fun i ↦ by
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hs hx]
simp_rw [← Nfu] at hD
have Ngu : ∀ i,
‖iteratedFDerivWithin 𝕜 i gu tu (fu x)‖ = ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ := fun i ↦ by
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ htu (hstu hx)]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ ht, Ffu]
rw [Ffu]
exact hst hx
simp_rw [← Ngu] at hC
have Nfgu :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 n (gu ∘ fu) s x‖ := by
have : gu ∘ fu = isoG.symm ∘ g ∘ f := by
ext x
simp only [fu, gu, comp_apply, LinearIsometryEquiv.map_eq_iff,
LinearIsometryEquiv.apply_symm_apply]
rw [this, LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hs hx]
-- deduce the required bound from the one for `gu ∘ fu`.
rw [Nfgu]
exact norm_iteratedFDerivWithin_comp_le_aux hgu hfu htu hs hstu hx hC hD
#align norm_iterated_fderiv_within_comp_le norm_iteratedFDerivWithin_comp_le
theorem norm_iteratedFDeriv_comp_le {g : F → G} {f : E → F} {n : ℕ} {N : ℕ∞} (hg : ContDiff 𝕜 N g)
(hf : ContDiff 𝕜 N f) (hn : (n : ℕ∞) ≤ N) (x : E) {C : ℝ} {D : ℝ}
(hC : ∀ i, i ≤ n → ‖iteratedFDeriv 𝕜 i g (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDeriv 𝕜 i f x‖ ≤ D ^ i) :
‖iteratedFDeriv 𝕜 n (g ∘ f) x‖ ≤ n ! * C * D ^ n := by
simp_rw [← iteratedFDerivWithin_univ] at hC hD ⊢
exact norm_iteratedFDerivWithin_comp_le hg.contDiffOn hf.contDiffOn hn uniqueDiffOn_univ
uniqueDiffOn_univ (mapsTo_univ _ _) (mem_univ x) hC hD
#align norm_iterated_fderiv_comp_le norm_iteratedFDeriv_comp_le
section Apply
| Mathlib/Analysis/Calculus/ContDiff/Bounds.lean | 538 | 549 | theorem norm_iteratedFDerivWithin_clm_apply {f : E → F →L[𝕜] G} {g : E → F} {s : Set E} {x : E}
{N : ℕ∞} {n : ℕ} (hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s)
(hx : x ∈ s) (hn : ↑n ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => (f y) (g y)) s x‖ ≤
∑ i ∈ Finset.range (n + 1), ↑(n.choose i) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by |
let B : (F →L[𝕜] G) →L[𝕜] F →L[𝕜] G := ContinuousLinearMap.flip (ContinuousLinearMap.apply 𝕜 G)
have hB : ‖B‖ ≤ 1 := by
simp only [B, ContinuousLinearMap.opNorm_flip, ContinuousLinearMap.apply]
refine ContinuousLinearMap.opNorm_le_bound _ zero_le_one fun f => ?_
simp only [ContinuousLinearMap.coe_id', id, one_mul]
rfl
exact B.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one hf hg hs hx hn hB
|
import Mathlib.AlgebraicGeometry.Morphisms.QuasiCompact
import Mathlib.Topology.QuasiSeparated
#align_import algebraic_geometry.morphisms.quasi_separated from "leanprover-community/mathlib"@"1a51edf13debfcbe223fa06b1cb353b9ed9751cc"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiSeparated (f : X ⟶ Y) : Prop where
diagonalQuasiCompact : QuasiCompact (pullback.diagonal f) := by infer_instance
#align algebraic_geometry.quasi_separated AlgebraicGeometry.QuasiSeparated
def QuasiSeparated.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
QuasiSeparatedSpace X.carrier
#align algebraic_geometry.quasi_separated.affine_property AlgebraicGeometry.QuasiSeparated.affineProperty
| Mathlib/AlgebraicGeometry/Morphisms/QuasiSeparated.lean | 57 | 83 | theorem quasiSeparatedSpace_iff_affine (X : Scheme) :
QuasiSeparatedSpace X.carrier ↔ ∀ U V : X.affineOpens, IsCompact (U ∩ V : Set X.carrier) := by |
rw [quasiSeparatedSpace_iff]
constructor
· intro H U V; exact H U V U.1.2 U.2.isCompact V.1.2 V.2.isCompact
· intro H
suffices
∀ (U : Opens X.carrier) (_ : IsCompact U.1) (V : Opens X.carrier) (_ : IsCompact V.1),
IsCompact (U ⊓ V).1
by intro U V hU hU' hV hV'; exact this ⟨U, hU⟩ hU' ⟨V, hV⟩ hV'
intro U hU V hV
-- Porting note: it complains "unable to find motive", but telling Lean that motive is
-- underscore is actually sufficient, weird
apply compact_open_induction_on (P := _) V hV
· simp
· intro S _ V hV
change IsCompact (U.1 ∩ (S.1 ∪ V.1))
rw [Set.inter_union_distrib_left]
apply hV.union
clear hV
apply compact_open_induction_on (P := _) U hU
· simp
· intro S _ W hW
change IsCompact ((S.1 ∪ W.1) ∩ V.1)
rw [Set.union_inter_distrib_right]
apply hW.union
apply H
|
import Mathlib.Algebra.Ring.Divisibility.Basic
import Mathlib.Init.Data.Ordering.Lemmas
import Mathlib.SetTheory.Ordinal.Principal
import Mathlib.Tactic.NormNum
#align_import set_theory.ordinal.notation from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d"
set_option linter.uppercaseLean3 false
open Ordinal Order
-- Porting note: the generated theorem is warned by `simpNF`.
set_option genSizeOfSpec false in
inductive ONote : Type
| zero : ONote
| oadd : ONote → ℕ+ → ONote → ONote
deriving DecidableEq
#align onote ONote
compile_inductive% ONote
namespace ONote
instance : Zero ONote :=
⟨zero⟩
@[simp]
theorem zero_def : zero = 0 :=
rfl
#align onote.zero_def ONote.zero_def
instance : Inhabited ONote :=
⟨0⟩
instance : One ONote :=
⟨oadd 0 1 0⟩
def omega : ONote :=
oadd 1 1 0
#align onote.omega ONote.omega
@[simp]
noncomputable def repr : ONote → Ordinal.{0}
| 0 => 0
| oadd e n a => ω ^ repr e * n + repr a
#align onote.repr ONote.repr
def toStringAux1 (e : ONote) (n : ℕ) (s : String) : String :=
if e = 0 then toString n
else (if e = 1 then "ω" else "ω^(" ++ s ++ ")") ++ if n = 1 then "" else "*" ++ toString n
#align onote.to_string_aux1 ONote.toStringAux1
def toString : ONote → String
| zero => "0"
| oadd e n 0 => toStringAux1 e n (toString e)
| oadd e n a => toStringAux1 e n (toString e) ++ " + " ++ toString a
#align onote.to_string ONote.toString
open Lean in
def repr' (prec : ℕ) : ONote → Format
| zero => "0"
| oadd e n a =>
Repr.addAppParen
("oadd " ++ (repr' max_prec e) ++ " " ++ Nat.repr (n : ℕ) ++ " " ++ (repr' max_prec a))
prec
#align onote.repr' ONote.repr
instance : ToString ONote :=
⟨toString⟩
instance : Repr ONote where
reprPrec o prec := repr' prec o
instance : Preorder ONote where
le x y := repr x ≤ repr y
lt x y := repr x < repr y
le_refl _ := @le_refl Ordinal _ _
le_trans _ _ _ := @le_trans Ordinal _ _ _ _
lt_iff_le_not_le _ _ := @lt_iff_le_not_le Ordinal _ _ _
theorem lt_def {x y : ONote} : x < y ↔ repr x < repr y :=
Iff.rfl
#align onote.lt_def ONote.lt_def
theorem le_def {x y : ONote} : x ≤ y ↔ repr x ≤ repr y :=
Iff.rfl
#align onote.le_def ONote.le_def
instance : WellFoundedRelation ONote :=
⟨(· < ·), InvImage.wf repr Ordinal.lt_wf⟩
@[coe]
def ofNat : ℕ → ONote
| 0 => 0
| Nat.succ n => oadd 0 n.succPNat 0
#align onote.of_nat ONote.ofNat
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
@[simp] theorem ofNat_zero : ofNat 0 = 0 :=
rfl
@[simp] theorem ofNat_succ (n) : ofNat (Nat.succ n) = oadd 0 n.succPNat 0 :=
rfl
instance nat (n : ℕ) : OfNat ONote n where
ofNat := ofNat n
@[simp 1200]
theorem ofNat_one : ofNat 1 = 1 :=
rfl
#align onote.of_nat_one ONote.ofNat_one
@[simp]
theorem repr_ofNat (n : ℕ) : repr (ofNat n) = n := by cases n <;> simp
#align onote.repr_of_nat ONote.repr_ofNat
-- @[simp] -- Porting note (#10618): simp can prove this
theorem repr_one : repr (ofNat 1) = (1 : ℕ) := repr_ofNat 1
#align onote.repr_one ONote.repr_one
theorem omega_le_oadd (e n a) : ω ^ repr e ≤ repr (oadd e n a) := by
refine le_trans ?_ (le_add_right _ _)
simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e) omega_pos).2 (natCast_le.2 n.2)
#align onote.omega_le_oadd ONote.omega_le_oadd
theorem oadd_pos (e n a) : 0 < oadd e n a :=
@lt_of_lt_of_le _ _ _ (ω ^ repr e) _ (opow_pos (repr e) omega_pos) (omega_le_oadd e n a)
#align onote.oadd_pos ONote.oadd_pos
def cmp : ONote → ONote → Ordering
| 0, 0 => Ordering.eq
| _, 0 => Ordering.gt
| 0, _ => Ordering.lt
| _o₁@(oadd e₁ n₁ a₁), _o₂@(oadd e₂ n₂ a₂) =>
(cmp e₁ e₂).orElse <| (_root_.cmp (n₁ : ℕ) n₂).orElse (cmp a₁ a₂)
#align onote.cmp ONote.cmp
theorem eq_of_cmp_eq : ∀ {o₁ o₂}, cmp o₁ o₂ = Ordering.eq → o₁ = o₂
| 0, 0, _ => rfl
| oadd e n a, 0, h => by injection h
| 0, oadd e n a, h => by injection h
| oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h => by
revert h; simp only [cmp]
cases h₁ : cmp e₁ e₂ <;> intro h <;> try cases h
obtain rfl := eq_of_cmp_eq h₁
revert h; cases h₂ : _root_.cmp (n₁ : ℕ) n₂ <;> intro h <;> try cases h
obtain rfl := eq_of_cmp_eq h
rw [_root_.cmp, cmpUsing_eq_eq] at h₂
obtain rfl := Subtype.eq (eq_of_incomp h₂)
simp
#align onote.eq_of_cmp_eq ONote.eq_of_cmp_eq
protected theorem zero_lt_one : (0 : ONote) < 1 := by
simp only [lt_def, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero,
zero_lt_one]
#align onote.zero_lt_one ONote.zero_lt_one
inductive NFBelow : ONote → Ordinal.{0} → Prop
| zero {b} : NFBelow 0 b
| oadd' {e n a eb b} : NFBelow e eb → NFBelow a (repr e) → repr e < b → NFBelow (oadd e n a) b
#align onote.NF_below ONote.NFBelow
class NF (o : ONote) : Prop where
out : Exists (NFBelow o)
#align onote.NF ONote.NF
instance NF.zero : NF 0 :=
⟨⟨0, NFBelow.zero⟩⟩
#align onote.NF.zero ONote.NF.zero
theorem NFBelow.oadd {e n a b} : NF e → NFBelow a (repr e) → repr e < b → NFBelow (oadd e n a) b
| ⟨⟨_, h⟩⟩ => NFBelow.oadd' h
#align onote.NF_below.oadd ONote.NFBelow.oadd
theorem NFBelow.fst {e n a b} (h : NFBelow (ONote.oadd e n a) b) : NF e := by
cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact ⟨⟨_, h₁⟩⟩
#align onote.NF_below.fst ONote.NFBelow.fst
theorem NF.fst {e n a} : NF (oadd e n a) → NF e
| ⟨⟨_, h⟩⟩ => h.fst
#align onote.NF.fst ONote.NF.fst
theorem NFBelow.snd {e n a b} (h : NFBelow (ONote.oadd e n a) b) : NFBelow a (repr e) := by
cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact h₂
#align onote.NF_below.snd ONote.NFBelow.snd
theorem NF.snd' {e n a} : NF (oadd e n a) → NFBelow a (repr e)
| ⟨⟨_, h⟩⟩ => h.snd
#align onote.NF.snd' ONote.NF.snd'
theorem NF.snd {e n a} (h : NF (oadd e n a)) : NF a :=
⟨⟨_, h.snd'⟩⟩
#align onote.NF.snd ONote.NF.snd
theorem NF.oadd {e a} (h₁ : NF e) (n) (h₂ : NFBelow a (repr e)) : NF (oadd e n a) :=
⟨⟨_, NFBelow.oadd h₁ h₂ (lt_succ _)⟩⟩
#align onote.NF.oadd ONote.NF.oadd
instance NF.oadd_zero (e n) [h : NF e] : NF (ONote.oadd e n 0) :=
h.oadd _ NFBelow.zero
#align onote.NF.oadd_zero ONote.NF.oadd_zero
theorem NFBelow.lt {e n a b} (h : NFBelow (ONote.oadd e n a) b) : repr e < b := by
cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact h₃
#align onote.NF_below.lt ONote.NFBelow.lt
theorem NFBelow_zero : ∀ {o}, NFBelow o 0 ↔ o = 0
| 0 => ⟨fun _ => rfl, fun _ => NFBelow.zero⟩
| oadd _ _ _ =>
⟨fun h => (not_le_of_lt h.lt).elim (Ordinal.zero_le _), fun e => e.symm ▸ NFBelow.zero⟩
#align onote.NF_below_zero ONote.NFBelow_zero
theorem NF.zero_of_zero {e n a} (h : NF (ONote.oadd e n a)) (e0 : e = 0) : a = 0 := by
simpa [e0, NFBelow_zero] using h.snd'
#align onote.NF.zero_of_zero ONote.NF.zero_of_zero
theorem NFBelow.repr_lt {o b} (h : NFBelow o b) : repr o < ω ^ b := by
induction' h with _ e n a eb b h₁ h₂ h₃ _ IH
· exact opow_pos _ omega_pos
· rw [repr]
apply ((add_lt_add_iff_left _).2 IH).trans_le
rw [← mul_succ]
apply (mul_le_mul_left' (succ_le_of_lt (nat_lt_omega _)) _).trans
rw [← opow_succ]
exact opow_le_opow_right omega_pos (succ_le_of_lt h₃)
#align onote.NF_below.repr_lt ONote.NFBelow.repr_lt
| Mathlib/SetTheory/Ordinal/Notation.lean | 277 | 279 | theorem NFBelow.mono {o b₁ b₂} (bb : b₁ ≤ b₂) (h : NFBelow o b₁) : NFBelow o b₂ := by |
induction' h with _ e n a eb b h₁ h₂ h₃ _ _ <;> constructor
exacts [h₁, h₂, lt_of_lt_of_le h₃ bb]
|
import Mathlib.Topology.Compactness.SigmaCompact
import Mathlib.Topology.Connected.TotallyDisconnected
import Mathlib.Topology.Inseparable
#align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Function Set Filter Topology TopologicalSpace
open scoped Classical
universe u v
variable {X : Type*} {Y : Type*} [TopologicalSpace X]
section Separation
def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X =>
∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V
#align separated_nhds SeparatedNhds
theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by
simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ←
exists_and_left, and_assoc, and_comm, and_left_comm]
#align separated_nhds_iff_disjoint separatedNhds_iff_disjoint
alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint
class T0Space (X : Type u) [TopologicalSpace X] : Prop where
t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y
#align t0_space T0Space
theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ ∀ x y : X, Inseparable x y → x = y :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align t0_space_iff_inseparable t0Space_iff_inseparable
theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by
simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise]
#align t0_space_iff_not_inseparable t0Space_iff_not_inseparable
theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y :=
T0Space.t0 h
#align inseparable.eq Inseparable.eq
protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Injective f := fun _ _ h =>
(hf.inseparable_iff.1 <| .of_eq h).eq
#align inducing.injective Inducing.injective
protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Embedding f :=
⟨hf, hf.injective⟩
#align inducing.embedding Inducing.embedding
lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} :
Embedding f ↔ Inducing f :=
⟨Embedding.toInducing, Inducing.embedding⟩
#align embedding_iff_inducing embedding_iff_inducing
theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Injective (𝓝 : X → Filter X) :=
t0Space_iff_inseparable X
#align t0_space_iff_nhds_injective t0Space_iff_nhds_injective
theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) :=
(t0Space_iff_nhds_injective X).1 ‹_›
#align nhds_injective nhds_injective
theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y :=
nhds_injective.eq_iff
#align inseparable_iff_eq inseparable_iff_eq
@[simp]
theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b :=
nhds_injective.eq_iff
#align nhds_eq_nhds_iff nhds_eq_nhds_iff
@[simp]
theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X :=
funext₂ fun _ _ => propext inseparable_iff_eq
#align inseparable_eq_eq inseparable_eq_eq
theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs),
fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by
convert hb.nhds_hasBasis using 2
exact and_congr_right (h _)⟩
theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
inseparable_iff_eq.symm.trans hb.inseparable_iff
theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by
simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop,
inseparable_iff_forall_open, Pairwise]
#align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem
theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) :
∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) :=
(t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h
#align exists_is_open_xor_mem exists_isOpen_xor'_mem
def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X :=
{ specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with }
#align specialization_order specializationOrder
instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) :=
⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h =>
SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩
theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo)
exact (this.symm.subset hx).2 hxU
#align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton
theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2
⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩
#align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton
theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X}
(hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne
rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩
exact ⟨x, Vsub (mem_singleton x), Vcls⟩
#align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton
theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo)
exact hyU (this.symm.subset hy).2
#align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton
theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩
#align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton
theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite)
(hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by
lift s to Finset X using hfin
induction' s using Finset.strongInductionOn with s ihs
rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht)
· rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩
exact ⟨x, hts.1 hxt, hxo⟩
· -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩`
-- https://github.com/leanprover/std4/issues/116
rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x}
· exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩
refine minimal_nonempty_open_eq_singleton ho hne ?_
refine fun t hts htne hto => of_not_not fun hts' => ht ?_
lift t to Finset X using s.finite_toSet.subset hts
exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩
#align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite
theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] :
∃ x : X, IsOpen ({x} : Set X) :=
let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _)
univ_nonempty isOpen_univ
⟨x, h⟩
#align exists_open_singleton_of_fintype exists_open_singleton_of_finite
theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X :=
⟨fun _ _ h => hf <| (h.map hf').eq⟩
#align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous
protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y}
(hf : Embedding f) : T0Space X :=
t0Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t0_space Embedding.t0Space
instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) :=
embedding_subtype_val.t0Space
#align subtype.t0_space Subtype.t0Space
theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by
simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or]
#align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure
instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) :=
⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩
instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, T0Space (X i)] :
T0Space (∀ i, X i) :=
⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩
#align pi.t0_space Pi.instT0Space
instance ULift.instT0Space [T0Space X] : T0Space (ULift X) :=
embedding_uLift_down.t0Space
theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) :
T0Space X := by
refine ⟨fun x y hxy => ?_⟩
rcases h x y hxy with ⟨s, hxs, hys, hs⟩
lift x to s using hxs; lift y to s using hys
rw [← subtype_inseparable_iff] at hxy
exact congr_arg Subtype.val hxy.eq
#align t0_space.of_cover T0Space.of_cover
theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X :=
T0Space.of_cover fun x _ hxy =>
let ⟨s, hxs, hso, hs⟩ := h x
⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩
#align t0_space.of_open_cover T0Space.of_open_cover
@[mk_iff]
class R0Space (X : Type u) [TopologicalSpace X] : Prop where
specializes_symmetric : Symmetric (Specializes : X → X → Prop)
export R0Space (specializes_symmetric)
class T1Space (X : Type u) [TopologicalSpace X] : Prop where
t1 : ∀ x, IsClosed ({x} : Set X)
#align t1_space T1Space
theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) :=
T1Space.t1 x
#align is_closed_singleton isClosed_singleton
theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) :=
isClosed_singleton.isOpen_compl
#align is_open_compl_singleton isOpen_compl_singleton
theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } :=
isOpen_compl_singleton
#align is_open_ne isOpen_ne
@[to_additive]
theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X}
(hf : Continuous f) : IsOpen (mulSupport f) :=
isOpen_ne.preimage hf
#align continuous.is_open_mul_support Continuous.isOpen_mulSupport
#align continuous.is_open_support Continuous.isOpen_support
theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x :=
isOpen_ne.nhdsWithin_eq h
#align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton
theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) :
𝓝[s \ {y}] x = 𝓝[s] x := by
rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem]
exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h)
#align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton
lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by
rcases eq_or_ne x y with rfl|hy
· exact Eq.le rfl
· rw [Ne.nhdsWithin_compl_singleton hy]
exact nhdsWithin_le_nhds
theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} :
IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by
refine isOpen_iff_mem_nhds.mpr fun a ha => ?_
filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb
rcases eq_or_ne a b with rfl | h
· exact hb
· rw [h.symm.nhdsWithin_compl_singleton] at hb
exact hb.filter_mono nhdsWithin_le_nhds
#align is_open_set_of_eventually_nhds_within isOpen_setOf_eventually_nhdsWithin
protected theorem Set.Finite.isClosed [T1Space X] {s : Set X} (hs : Set.Finite s) : IsClosed s := by
rw [← biUnion_of_singleton s]
exact hs.isClosed_biUnion fun i _ => isClosed_singleton
#align set.finite.is_closed Set.Finite.isClosed
theorem TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne [T1Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} (h : x ≠ y) : ∃ a ∈ b, x ∈ a ∧ y ∉ a := by
rcases hb.isOpen_iff.1 isOpen_ne x h with ⟨a, ab, xa, ha⟩
exact ⟨a, ab, xa, fun h => ha h rfl⟩
#align topological_space.is_topological_basis.exists_mem_of_ne TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne
protected theorem Finset.isClosed [T1Space X] (s : Finset X) : IsClosed (s : Set X) :=
s.finite_toSet.isClosed
#align finset.is_closed Finset.isClosed
| Mathlib/Topology/Separation.lean | 545 | 581 | theorem t1Space_TFAE (X : Type u) [TopologicalSpace X] :
List.TFAE [T1Space X,
∀ x, IsClosed ({ x } : Set X),
∀ x, IsOpen ({ x }ᶜ : Set X),
Continuous (@CofiniteTopology.of X),
∀ ⦃x y : X⦄, x ≠ y → {y}ᶜ ∈ 𝓝 x,
∀ ⦃x y : X⦄, x ≠ y → ∃ s ∈ 𝓝 x, y ∉ s,
∀ ⦃x y : X⦄, x ≠ y → ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U,
∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y),
∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y),
∀ ⦃x y : X⦄, x ⤳ y → x = y] := by |
tfae_have 1 ↔ 2
· exact ⟨fun h => h.1, fun h => ⟨h⟩⟩
tfae_have 2 ↔ 3
· simp only [isOpen_compl_iff]
tfae_have 5 ↔ 3
· refine forall_swap.trans ?_
simp only [isOpen_iff_mem_nhds, mem_compl_iff, mem_singleton_iff]
tfae_have 5 ↔ 6
· simp only [← subset_compl_singleton_iff, exists_mem_subset_iff]
tfae_have 5 ↔ 7
· simp only [(nhds_basis_opens _).mem_iff, subset_compl_singleton_iff, exists_prop, and_assoc,
and_left_comm]
tfae_have 5 ↔ 8
· simp only [← principal_singleton, disjoint_principal_right]
tfae_have 8 ↔ 9
· exact forall_swap.trans (by simp only [disjoint_comm, ne_comm])
tfae_have 1 → 4
· simp only [continuous_def, CofiniteTopology.isOpen_iff']
rintro H s (rfl | hs)
exacts [isOpen_empty, compl_compl s ▸ (@Set.Finite.isClosed _ _ H _ hs).isOpen_compl]
tfae_have 4 → 2
· exact fun h x => (CofiniteTopology.isClosed_iff.2 <| Or.inr (finite_singleton _)).preimage h
tfae_have 2 ↔ 10
· simp only [← closure_subset_iff_isClosed, specializes_iff_mem_closure, subset_def,
mem_singleton_iff, eq_comm]
tfae_finish
|
import Mathlib.Data.Part
import Mathlib.Data.Rel
#align_import data.pfun from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
open Function
def PFun (α β : Type*) :=
α → Part β
#align pfun PFun
infixr:25 " →. " => PFun
namespace PFun
variable {α β γ δ ε ι : Type*}
instance inhabited : Inhabited (α →. β) :=
⟨fun _ => Part.none⟩
#align pfun.inhabited PFun.inhabited
def Dom (f : α →. β) : Set α :=
{ a | (f a).Dom }
#align pfun.dom PFun.Dom
@[simp]
theorem mem_dom (f : α →. β) (x : α) : x ∈ Dom f ↔ ∃ y, y ∈ f x := by simp [Dom, Part.dom_iff_mem]
#align pfun.mem_dom PFun.mem_dom
@[simp]
theorem dom_mk (p : α → Prop) (f : ∀ a, p a → β) : (PFun.Dom fun x => ⟨p x, f x⟩) = { x | p x } :=
rfl
#align pfun.dom_mk PFun.dom_mk
theorem dom_eq (f : α →. β) : Dom f = { x | ∃ y, y ∈ f x } :=
Set.ext (mem_dom f)
#align pfun.dom_eq PFun.dom_eq
def fn (f : α →. β) (a : α) : Dom f a → β :=
(f a).get
#align pfun.fn PFun.fn
@[simp]
theorem fn_apply (f : α →. β) (a : α) : f.fn a = (f a).get :=
rfl
#align pfun.fn_apply PFun.fn_apply
def evalOpt (f : α →. β) [D : DecidablePred (· ∈ Dom f)] (x : α) : Option β :=
@Part.toOption _ _ (D x)
#align pfun.eval_opt PFun.evalOpt
theorem ext' {f g : α →. β} (H1 : ∀ a, a ∈ Dom f ↔ a ∈ Dom g) (H2 : ∀ a p q, f.fn a p = g.fn a q) :
f = g :=
funext fun a => Part.ext' (H1 a) (H2 a)
#align pfun.ext' PFun.ext'
theorem ext {f g : α →. β} (H : ∀ a b, b ∈ f a ↔ b ∈ g a) : f = g :=
funext fun a => Part.ext (H a)
#align pfun.ext PFun.ext
def asSubtype (f : α →. β) (s : f.Dom) : β :=
f.fn s s.2
#align pfun.as_subtype PFun.asSubtype
def equivSubtype : (α →. β) ≃ Σp : α → Prop, Subtype p → β :=
⟨fun f => ⟨fun a => (f a).Dom, asSubtype f⟩, fun f x => ⟨f.1 x, fun h => f.2 ⟨x, h⟩⟩, fun f =>
funext fun a => Part.eta _, fun ⟨p, f⟩ => by dsimp; congr⟩
#align pfun.equiv_subtype PFun.equivSubtype
theorem asSubtype_eq_of_mem {f : α →. β} {x : α} {y : β} (fxy : y ∈ f x) (domx : x ∈ f.Dom) :
f.asSubtype ⟨x, domx⟩ = y :=
Part.mem_unique (Part.get_mem _) fxy
#align pfun.as_subtype_eq_of_mem PFun.asSubtype_eq_of_mem
@[coe]
protected def lift (f : α → β) : α →. β := fun a => Part.some (f a)
#align pfun.lift PFun.lift
instance coe : Coe (α → β) (α →. β) :=
⟨PFun.lift⟩
#align pfun.has_coe PFun.coe
@[simp]
theorem coe_val (f : α → β) (a : α) : (f : α →. β) a = Part.some (f a) :=
rfl
#align pfun.coe_val PFun.coe_val
@[simp]
theorem dom_coe (f : α → β) : (f : α →. β).Dom = Set.univ :=
rfl
#align pfun.dom_coe PFun.dom_coe
theorem lift_injective : Injective (PFun.lift : (α → β) → α →. β) := fun _ _ h =>
funext fun a => Part.some_injective <| congr_fun h a
#align pfun.coe_injective PFun.lift_injective
def graph (f : α →. β) : Set (α × β) :=
{ p | p.2 ∈ f p.1 }
#align pfun.graph PFun.graph
def graph' (f : α →. β) : Rel α β := fun x y => y ∈ f x
#align pfun.graph' PFun.graph'
def ran (f : α →. β) : Set β :=
{ b | ∃ a, b ∈ f a }
#align pfun.ran PFun.ran
def restrict (f : α →. β) {p : Set α} (H : p ⊆ f.Dom) : α →. β := fun x =>
(f x).restrict (x ∈ p) (@H x)
#align pfun.restrict PFun.restrict
@[simp]
theorem mem_restrict {f : α →. β} {s : Set α} (h : s ⊆ f.Dom) (a : α) (b : β) :
b ∈ f.restrict h a ↔ a ∈ s ∧ b ∈ f a := by simp [restrict]
#align pfun.mem_restrict PFun.mem_restrict
def res (f : α → β) (s : Set α) : α →. β :=
(PFun.lift f).restrict s.subset_univ
#align pfun.res PFun.res
theorem mem_res (f : α → β) (s : Set α) (a : α) (b : β) : b ∈ res f s a ↔ a ∈ s ∧ f a = b := by
simp [res, @eq_comm _ b]
#align pfun.mem_res PFun.mem_res
theorem res_univ (f : α → β) : PFun.res f Set.univ = f :=
rfl
#align pfun.res_univ PFun.res_univ
theorem dom_iff_graph (f : α →. β) (x : α) : x ∈ f.Dom ↔ ∃ y, (x, y) ∈ f.graph :=
Part.dom_iff_mem
#align pfun.dom_iff_graph PFun.dom_iff_graph
theorem lift_graph {f : α → β} {a b} : (a, b) ∈ (f : α →. β).graph ↔ f a = b :=
show (∃ _ : True, f a = b) ↔ f a = b by simp
#align pfun.lift_graph PFun.lift_graph
protected def pure (x : β) : α →. β := fun _ => Part.some x
#align pfun.pure PFun.pure
def bind (f : α →. β) (g : β → α →. γ) : α →. γ := fun a => (f a).bind fun b => g b a
#align pfun.bind PFun.bind
@[simp]
theorem bind_apply (f : α →. β) (g : β → α →. γ) (a : α) : f.bind g a = (f a).bind fun b => g b a :=
rfl
#align pfun.bind_apply PFun.bind_apply
def map (f : β → γ) (g : α →. β) : α →. γ := fun a => (g a).map f
#align pfun.map PFun.map
instance monad : Monad (PFun α) where
pure := PFun.pure
bind := PFun.bind
map := PFun.map
#align pfun.monad PFun.monad
instance lawfulMonad : LawfulMonad (PFun α) := LawfulMonad.mk'
(bind_pure_comp := fun f x => funext fun a => Part.bind_some_eq_map _ _)
(id_map := fun f => by funext a; dsimp [Functor.map, PFun.map]; cases f a; rfl)
(pure_bind := fun x f => funext fun a => Part.bind_some _ (f x))
(bind_assoc := fun f g k => funext fun a => (f a).bind_assoc (fun b => g b a) fun b => k b a)
#align pfun.is_lawful_monad PFun.lawfulMonad
theorem pure_defined (p : Set α) (x : β) : p ⊆ (@PFun.pure α _ x).Dom :=
p.subset_univ
#align pfun.pure_defined PFun.pure_defined
theorem bind_defined {α β γ} (p : Set α) {f : α →. β} {g : β → α →. γ} (H1 : p ⊆ f.Dom)
(H2 : ∀ x, p ⊆ (g x).Dom) : p ⊆ (f >>= g).Dom := fun a ha =>
(⟨H1 ha, H2 _ ha⟩ : (f >>= g).Dom a)
#align pfun.bind_defined PFun.bind_defined
def fix (f : α →. Sum β α) : α →. β := fun a =>
Part.assert (Acc (fun x y => Sum.inr x ∈ f y) a) fun h =>
WellFounded.fixF
(fun a IH =>
Part.assert (f a).Dom fun hf =>
match e : (f a).get hf with
| Sum.inl b => Part.some b
| Sum.inr a' => IH a' ⟨hf, e⟩)
a h
#align pfun.fix PFun.fix
theorem dom_of_mem_fix {f : α →. Sum β α} {a : α} {b : β} (h : b ∈ f.fix a) : (f a).Dom := by
let ⟨h₁, h₂⟩ := Part.mem_assert_iff.1 h
rw [WellFounded.fixFEq] at h₂; exact h₂.fst.fst
#align pfun.dom_of_mem_fix PFun.dom_of_mem_fix
theorem mem_fix_iff {f : α →. Sum β α} {a : α} {b : β} :
b ∈ f.fix a ↔ Sum.inl b ∈ f a ∨ ∃ a', Sum.inr a' ∈ f a ∧ b ∈ f.fix a' :=
⟨fun h => by
let ⟨h₁, h₂⟩ := Part.mem_assert_iff.1 h
rw [WellFounded.fixFEq] at h₂
simp only [Part.mem_assert_iff] at h₂
cases' h₂ with h₂ h₃
split at h₃
next e => simp only [Part.mem_some_iff] at h₃; subst b; exact Or.inl ⟨h₂, e⟩
next e => exact Or.inr ⟨_, ⟨_, e⟩, Part.mem_assert _ h₃⟩,
fun h => by
simp only [fix, Part.mem_assert_iff]
rcases h with (⟨h₁, h₂⟩ | ⟨a', h, h₃⟩)
· refine ⟨⟨_, fun y h' => ?_⟩, ?_⟩
· injection Part.mem_unique ⟨h₁, h₂⟩ h'
· rw [WellFounded.fixFEq]
-- Porting note: used to be simp [h₁, h₂]
apply Part.mem_assert h₁
split
next e =>
injection h₂.symm.trans e with h; simp [h]
next e =>
injection h₂.symm.trans e
· simp [fix] at h₃
cases' h₃ with h₃ h₄
refine ⟨⟨_, fun y h' => ?_⟩, ?_⟩
· injection Part.mem_unique h h' with e
exact e ▸ h₃
· cases' h with h₁ h₂
rw [WellFounded.fixFEq]
-- Porting note: used to be simp [h₁, h₂, h₄]
apply Part.mem_assert h₁
split
next e =>
injection h₂.symm.trans e
next e =>
injection h₂.symm.trans e; subst a'; exact h₄⟩
#align pfun.mem_fix_iff PFun.mem_fix_iff
theorem fix_stop {f : α →. Sum β α} {b : β} {a : α} (hb : Sum.inl b ∈ f a) : b ∈ f.fix a := by
rw [PFun.mem_fix_iff]
exact Or.inl hb
#align pfun.fix_stop PFun.fix_stop
theorem fix_fwd_eq {f : α →. Sum β α} {a a' : α} (ha' : Sum.inr a' ∈ f a) : f.fix a = f.fix a' := by
ext b; constructor
· intro h
obtain h' | ⟨a, h', e'⟩ := mem_fix_iff.1 h <;> cases Part.mem_unique ha' h'
exact e'
· intro h
rw [PFun.mem_fix_iff]
exact Or.inr ⟨a', ha', h⟩
#align pfun.fix_fwd_eq PFun.fix_fwd_eq
theorem fix_fwd {f : α →. Sum β α} {b : β} {a a' : α} (hb : b ∈ f.fix a) (ha' : Sum.inr a' ∈ f a) :
b ∈ f.fix a' := by rwa [← fix_fwd_eq ha']
#align pfun.fix_fwd PFun.fix_fwd
@[elab_as_elim]
def fixInduction {C : α → Sort*} {f : α →. Sum β α} {b : β} {a : α} (h : b ∈ f.fix a)
(H : ∀ a', b ∈ f.fix a' → (∀ a'', Sum.inr a'' ∈ f a' → C a'') → C a') : C a := by
have h₂ := (Part.mem_assert_iff.1 h).snd
generalize_proofs at h₂
clear h
induction' ‹Acc _ _› with a ha IH
have h : b ∈ f.fix a := Part.mem_assert_iff.2 ⟨⟨a, ha⟩, h₂⟩
exact H a h fun a' fa' => IH a' fa' (Part.mem_assert_iff.1 (fix_fwd h fa')).snd
#align pfun.fix_induction PFun.fixInduction
theorem fixInduction_spec {C : α → Sort*} {f : α →. Sum β α} {b : β} {a : α} (h : b ∈ f.fix a)
(H : ∀ a', b ∈ f.fix a' → (∀ a'', Sum.inr a'' ∈ f a' → C a'') → C a') :
@fixInduction _ _ C _ _ _ h H = H a h fun a' h' => fixInduction (fix_fwd h h') H := by
unfold fixInduction
generalize_proofs
induction ‹Acc _ _›
rfl
#align pfun.fix_induction_spec PFun.fixInduction_spec
@[elab_as_elim]
def fixInduction' {C : α → Sort*} {f : α →. Sum β α} {b : β} {a : α}
(h : b ∈ f.fix a) (hbase : ∀ a_final : α, Sum.inl b ∈ f a_final → C a_final)
(hind : ∀ a₀ a₁ : α, b ∈ f.fix a₁ → Sum.inr a₁ ∈ f a₀ → C a₁ → C a₀) : C a := by
refine fixInduction h fun a' h ih => ?_
rcases e : (f a').get (dom_of_mem_fix h) with b' | a'' <;> replace e : _ ∈ f a' := ⟨_, e⟩
· apply hbase
convert e
exact Part.mem_unique h (fix_stop e)
· exact hind _ _ (fix_fwd h e) e (ih _ e)
#align pfun.fix_induction' PFun.fixInduction'
theorem fixInduction'_stop {C : α → Sort*} {f : α →. Sum β α} {b : β} {a : α} (h : b ∈ f.fix a)
(fa : Sum.inl b ∈ f a) (hbase : ∀ a_final : α, Sum.inl b ∈ f a_final → C a_final)
(hind : ∀ a₀ a₁ : α, b ∈ f.fix a₁ → Sum.inr a₁ ∈ f a₀ → C a₁ → C a₀) :
@fixInduction' _ _ C _ _ _ h hbase hind = hbase a fa := by
unfold fixInduction'
rw [fixInduction_spec]
-- Porting note: the explicit motive required because `simp` behaves differently
refine Eq.rec (motive := fun x e ↦
Sum.casesOn x ?_ ?_ (Eq.trans (Part.get_eq_of_mem fa (dom_of_mem_fix h)) e) = hbase a fa) ?_
(Part.get_eq_of_mem fa (dom_of_mem_fix h)).symm
simp
#align pfun.fix_induction'_stop PFun.fixInduction'_stop
theorem fixInduction'_fwd {C : α → Sort*} {f : α →. Sum β α} {b : β} {a a' : α} (h : b ∈ f.fix a)
(h' : b ∈ f.fix a') (fa : Sum.inr a' ∈ f a)
(hbase : ∀ a_final : α, Sum.inl b ∈ f a_final → C a_final)
(hind : ∀ a₀ a₁ : α, b ∈ f.fix a₁ → Sum.inr a₁ ∈ f a₀ → C a₁ → C a₀) :
@fixInduction' _ _ C _ _ _ h hbase hind = hind a a' h' fa (fixInduction' h' hbase hind) := by
unfold fixInduction'
rw [fixInduction_spec]
-- Porting note: the explicit motive required because `simp` behaves differently
refine Eq.rec (motive := fun x e =>
Sum.casesOn (motive := fun y => (f a).get (dom_of_mem_fix h) = y → C a) x ?_ ?_
(Eq.trans (Part.get_eq_of_mem fa (dom_of_mem_fix h)) e) = _) ?_
(Part.get_eq_of_mem fa (dom_of_mem_fix h)).symm
simp
#align pfun.fix_induction'_fwd PFun.fixInduction'_fwd
variable (f : α →. β)
def image (s : Set α) : Set β :=
f.graph'.image s
#align pfun.image PFun.image
theorem image_def (s : Set α) : f.image s = { y | ∃ x ∈ s, y ∈ f x } :=
rfl
#align pfun.image_def PFun.image_def
theorem mem_image (y : β) (s : Set α) : y ∈ f.image s ↔ ∃ x ∈ s, y ∈ f x :=
Iff.rfl
#align pfun.mem_image PFun.mem_image
theorem image_mono {s t : Set α} (h : s ⊆ t) : f.image s ⊆ f.image t :=
Rel.image_mono _ h
#align pfun.image_mono PFun.image_mono
theorem image_inter (s t : Set α) : f.image (s ∩ t) ⊆ f.image s ∩ f.image t :=
Rel.image_inter _ s t
#align pfun.image_inter PFun.image_inter
theorem image_union (s t : Set α) : f.image (s ∪ t) = f.image s ∪ f.image t :=
Rel.image_union _ s t
#align pfun.image_union PFun.image_union
def preimage (s : Set β) : Set α :=
Rel.image (fun x y => x ∈ f y) s
#align pfun.preimage PFun.preimage
theorem Preimage_def (s : Set β) : f.preimage s = { x | ∃ y ∈ s, y ∈ f x } :=
rfl
#align pfun.preimage_def PFun.Preimage_def
@[simp]
theorem mem_preimage (s : Set β) (x : α) : x ∈ f.preimage s ↔ ∃ y ∈ s, y ∈ f x :=
Iff.rfl
#align pfun.mem_preimage PFun.mem_preimage
theorem preimage_subset_dom (s : Set β) : f.preimage s ⊆ f.Dom := fun _ ⟨y, _, fxy⟩ =>
Part.dom_iff_mem.mpr ⟨y, fxy⟩
#align pfun.preimage_subset_dom PFun.preimage_subset_dom
theorem preimage_mono {s t : Set β} (h : s ⊆ t) : f.preimage s ⊆ f.preimage t :=
Rel.preimage_mono _ h
#align pfun.preimage_mono PFun.preimage_mono
theorem preimage_inter (s t : Set β) : f.preimage (s ∩ t) ⊆ f.preimage s ∩ f.preimage t :=
Rel.preimage_inter _ s t
#align pfun.preimage_inter PFun.preimage_inter
theorem preimage_union (s t : Set β) : f.preimage (s ∪ t) = f.preimage s ∪ f.preimage t :=
Rel.preimage_union _ s t
#align pfun.preimage_union PFun.preimage_union
theorem preimage_univ : f.preimage Set.univ = f.Dom := by ext; simp [mem_preimage, mem_dom]
#align pfun.preimage_univ PFun.preimage_univ
theorem coe_preimage (f : α → β) (s : Set β) : (f : α →. β).preimage s = f ⁻¹' s := by ext; simp
#align pfun.coe_preimage PFun.coe_preimage
def core (s : Set β) : Set α :=
f.graph'.core s
#align pfun.core PFun.core
theorem core_def (s : Set β) : f.core s = { x | ∀ y, y ∈ f x → y ∈ s } :=
rfl
#align pfun.core_def PFun.core_def
@[simp]
theorem mem_core (x : α) (s : Set β) : x ∈ f.core s ↔ ∀ y, y ∈ f x → y ∈ s :=
Iff.rfl
#align pfun.mem_core PFun.mem_core
theorem compl_dom_subset_core (s : Set β) : f.Domᶜ ⊆ f.core s := fun x hx y fxy =>
absurd ((mem_dom f x).mpr ⟨y, fxy⟩) hx
#align pfun.compl_dom_subset_core PFun.compl_dom_subset_core
theorem core_mono {s t : Set β} (h : s ⊆ t) : f.core s ⊆ f.core t :=
Rel.core_mono _ h
#align pfun.core_mono PFun.core_mono
theorem core_inter (s t : Set β) : f.core (s ∩ t) = f.core s ∩ f.core t :=
Rel.core_inter _ s t
#align pfun.core_inter PFun.core_inter
theorem mem_core_res (f : α → β) (s : Set α) (t : Set β) (x : α) :
x ∈ (res f s).core t ↔ x ∈ s → f x ∈ t := by simp [mem_core, mem_res]
#align pfun.mem_core_res PFun.mem_core_res
section
open scoped Classical
theorem core_res (f : α → β) (s : Set α) (t : Set β) : (res f s).core t = sᶜ ∪ f ⁻¹' t := by
ext x
rw [mem_core_res]
by_cases h : x ∈ s <;> simp [h]
#align pfun.core_res PFun.core_res
end
| Mathlib/Data/PFun.lean | 496 | 497 | theorem core_restrict (f : α → β) (s : Set β) : (f : α →. β).core s = s.preimage f := by |
ext x; simp [core_def]
|
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Analysis.SpecialFunctions.Sqrt
import Mathlib.Analysis.NormedSpace.HomeomorphBall
#align_import analysis.inner_product_space.calculus from "leanprover-community/mathlib"@"f9dd3204df14a0749cd456fac1e6849dfe7d2b88"
noncomputable section
open RCLike Real Filter
open scoped Classical Topology
section PiLike
open ContinuousLinearMap
variable {𝕜 ι H : Type*} [RCLike 𝕜] [NormedAddCommGroup H] [NormedSpace 𝕜 H] [Fintype ι]
{f : H → EuclideanSpace 𝕜 ι} {f' : H →L[𝕜] EuclideanSpace 𝕜 ι} {t : Set H} {y : H}
theorem differentiableWithinAt_euclidean :
DifferentiableWithinAt 𝕜 f t y ↔ ∀ i, DifferentiableWithinAt 𝕜 (fun x => f x i) t y := by
rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiableWithinAt_iff, differentiableWithinAt_pi]
rfl
#align differentiable_within_at_euclidean differentiableWithinAt_euclidean
theorem differentiableAt_euclidean :
DifferentiableAt 𝕜 f y ↔ ∀ i, DifferentiableAt 𝕜 (fun x => f x i) y := by
rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiableAt_iff, differentiableAt_pi]
rfl
#align differentiable_at_euclidean differentiableAt_euclidean
theorem differentiableOn_euclidean :
DifferentiableOn 𝕜 f t ↔ ∀ i, DifferentiableOn 𝕜 (fun x => f x i) t := by
rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiableOn_iff, differentiableOn_pi]
rfl
#align differentiable_on_euclidean differentiableOn_euclidean
| Mathlib/Analysis/InnerProductSpace/Calculus.lean | 328 | 330 | theorem differentiable_euclidean : Differentiable 𝕜 f ↔ ∀ i, Differentiable 𝕜 fun x => f x i := by |
rw [← (EuclideanSpace.equiv ι 𝕜).comp_differentiable_iff, differentiable_pi]
rfl
|
import Mathlib.Algebra.Order.Group.TypeTags
import Mathlib.FieldTheory.RatFunc.Degree
import Mathlib.RingTheory.DedekindDomain.IntegralClosure
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.Topology.Algebra.ValuedField
#align_import number_theory.function_field from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open scoped nonZeroDivisors Polynomial DiscreteValuation
variable (Fq F : Type) [Field Fq] [Field F]
abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop :=
FiniteDimensional (RatFunc Fq) F
#align function_field FunctionField
-- Porting note: Removed `protected`
theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt]
[IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F]
[IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] :
FunctionField Fq F ↔ FiniteDimensional Fqt F := by
let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt
have : ∀ (c) (x : F), e c • x = c • x := by
intro c x
rw [Algebra.smul_def, Algebra.smul_def]
congr
refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c -- Porting note: Added `(f := _)`
refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;>
simp only [AlgEquiv.map_one, RingHom.map_one, AlgEquiv.map_mul, RingHom.map_mul,
AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply]
constructor <;> intro h
· let b := FiniteDimensional.finBasis (RatFunc Fq) F
exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this)
· let b := FiniteDimensional.finBasis Fqt F
refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_)
intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply]
#align function_field_iff functionField_iff
theorem algebraMap_injective [Algebra Fq[X] F] [Algebra (RatFunc Fq) F]
[IsScalarTower Fq[X] (RatFunc Fq) F] : Function.Injective (⇑(algebraMap Fq[X] F)) := by
rw [IsScalarTower.algebraMap_eq Fq[X] (RatFunc Fq) F]
exact (algebraMap (RatFunc Fq) F).injective.comp (IsFractionRing.injective Fq[X] (RatFunc Fq))
#align algebra_map_injective algebraMap_injective
namespace FunctionField
def ringOfIntegers [Algebra Fq[X] F] :=
integralClosure Fq[X] F
#align function_field.ring_of_integers FunctionField.ringOfIntegers
section InftyValuation
variable [DecidableEq (RatFunc Fq)]
def inftyValuationDef (r : RatFunc Fq) : ℤₘ₀ :=
if r = 0 then 0 else ↑(Multiplicative.ofAdd r.intDegree)
#align function_field.infty_valuation_def FunctionField.inftyValuationDef
theorem InftyValuation.map_zero' : inftyValuationDef Fq 0 = 0 :=
if_pos rfl
#align function_field.infty_valuation.map_zero' FunctionField.InftyValuation.map_zero'
theorem InftyValuation.map_one' : inftyValuationDef Fq 1 = 1 :=
(if_neg one_ne_zero).trans <| by rw [RatFunc.intDegree_one, ofAdd_zero, WithZero.coe_one]
#align function_field.infty_valuation.map_one' FunctionField.InftyValuation.map_one'
theorem InftyValuation.map_mul' (x y : RatFunc Fq) :
inftyValuationDef Fq (x * y) = inftyValuationDef Fq x * inftyValuationDef Fq y := by
rw [inftyValuationDef, inftyValuationDef, inftyValuationDef]
by_cases hx : x = 0
· rw [hx, zero_mul, if_pos (Eq.refl _), zero_mul]
· by_cases hy : y = 0
· rw [hy, mul_zero, if_pos (Eq.refl _), mul_zero]
· rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithZero.coe_mul, WithZero.coe_inj,
← ofAdd_add, RatFunc.intDegree_mul hx hy]
#align function_field.infty_valuation.map_mul' FunctionField.InftyValuation.map_mul'
theorem InftyValuation.map_add_le_max' (x y : RatFunc Fq) :
inftyValuationDef Fq (x + y) ≤ max (inftyValuationDef Fq x) (inftyValuationDef Fq y) := by
by_cases hx : x = 0
· rw [hx, zero_add]
conv_rhs => rw [inftyValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (inftyValuationDef Fq y))]
· by_cases hy : y = 0
· rw [hy, add_zero]
conv_rhs => rw [max_comm, inftyValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (inftyValuationDef Fq x))]
· by_cases hxy : x + y = 0
· rw [inftyValuationDef, if_pos hxy]; exact zero_le'
· rw [inftyValuationDef, inftyValuationDef, inftyValuationDef, if_neg hx, if_neg hy,
if_neg hxy]
rw [le_max_iff, WithZero.coe_le_coe, Multiplicative.ofAdd_le, WithZero.coe_le_coe,
Multiplicative.ofAdd_le, ← le_max_iff]
exact RatFunc.intDegree_add_le hy hxy
#align function_field.infty_valuation.map_add_le_max' FunctionField.InftyValuation.map_add_le_max'
@[simp]
theorem inftyValuation_of_nonzero {x : RatFunc Fq} (hx : x ≠ 0) :
inftyValuationDef Fq x = Multiplicative.ofAdd x.intDegree := by
rw [inftyValuationDef, if_neg hx]
#align function_field.infty_valuation_of_nonzero FunctionField.inftyValuation_of_nonzero
def inftyValuation : Valuation (RatFunc Fq) ℤₘ₀ where
toFun := inftyValuationDef Fq
map_zero' := InftyValuation.map_zero' Fq
map_one' := InftyValuation.map_one' Fq
map_mul' := InftyValuation.map_mul' Fq
map_add_le_max' := InftyValuation.map_add_le_max' Fq
#align function_field.infty_valuation FunctionField.inftyValuation
@[simp]
theorem inftyValuation_apply {x : RatFunc Fq} : inftyValuation Fq x = inftyValuationDef Fq x :=
rfl
#align function_field.infty_valuation_apply FunctionField.inftyValuation_apply
@[simp]
theorem inftyValuation.C {k : Fq} (hk : k ≠ 0) :
inftyValuationDef Fq (RatFunc.C k) = Multiplicative.ofAdd (0 : ℤ) := by
have hCk : RatFunc.C k ≠ 0 := (map_ne_zero _).mpr hk
rw [inftyValuationDef, if_neg hCk, RatFunc.intDegree_C]
set_option linter.uppercaseLean3 false in
#align function_field.infty_valuation.C FunctionField.inftyValuation.C
@[simp]
theorem inftyValuation.X : inftyValuationDef Fq RatFunc.X = Multiplicative.ofAdd (1 : ℤ) := by
rw [inftyValuationDef, if_neg RatFunc.X_ne_zero, RatFunc.intDegree_X]
set_option linter.uppercaseLean3 false in
#align function_field.infty_valuation.X FunctionField.inftyValuation.X
@[simp]
| Mathlib/NumberTheory/FunctionField.lean | 233 | 238 | theorem inftyValuation.polynomial {p : Fq[X]} (hp : p ≠ 0) :
inftyValuationDef Fq (algebraMap Fq[X] (RatFunc Fq) p) =
Multiplicative.ofAdd (p.natDegree : ℤ) := by |
have hp' : algebraMap Fq[X] (RatFunc Fq) p ≠ 0 := by
rw [Ne, RatFunc.algebraMap_eq_zero_iff]; exact hp
rw [inftyValuationDef, if_neg hp', RatFunc.intDegree_polynomial]
|
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
theorem zero_of_eval_zero [Infinite R] (p : R[X]) (h : ∀ x, p.eval x = 0) : p = 0 := by
classical
by_contra hp
refine @Fintype.false R _ ?_
exact ⟨p.roots.toFinset, fun x => Multiset.mem_toFinset.mpr ((mem_roots hp).mpr (h _))⟩
#align polynomial.zero_of_eval_zero Polynomial.zero_of_eval_zero
theorem funext [Infinite R] {p q : R[X]} (ext : ∀ r : R, p.eval r = q.eval r) : p = q := by
rw [← sub_eq_zero]
apply zero_of_eval_zero
intro x
rw [eval_sub, sub_eq_zero, ext]
#align polynomial.funext Polynomial.funext
variable [CommRing T]
noncomputable abbrev aroots (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Multiset S :=
(p.map (algebraMap T S)).roots
theorem aroots_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] :
p.aroots S = (p.map (algebraMap T S)).roots :=
rfl
theorem mem_aroots' [CommRing S] [IsDomain S] [Algebra T S] {p : T[X]} {a : S} :
a ∈ p.aroots S ↔ p.map (algebraMap T S) ≠ 0 ∧ aeval a p = 0 := by
rw [mem_roots', IsRoot.def, ← eval₂_eq_eval_map, aeval_def]
theorem mem_aroots [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p : T[X]} {a : S} : a ∈ p.aroots S ↔ p ≠ 0 ∧ aeval a p = 0 := by
rw [mem_aroots', Polynomial.map_ne_zero_iff]
exact NoZeroSMulDivisors.algebraMap_injective T S
theorem aroots_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p q : T[X]} (hpq : p * q ≠ 0) :
(p * q).aroots S = p.aroots S + q.aroots S := by
suffices map (algebraMap T S) p * map (algebraMap T S) q ≠ 0 by
rw [aroots_def, Polynomial.map_mul, roots_mul this]
rwa [← Polynomial.map_mul, Polynomial.map_ne_zero_iff
(NoZeroSMulDivisors.algebraMap_injective T S)]
@[simp]
theorem aroots_X_sub_C [CommRing S] [IsDomain S] [Algebra T S]
(r : T) : aroots (X - C r) S = {algebraMap T S r} := by
rw [aroots_def, Polynomial.map_sub, map_X, map_C, roots_X_sub_C]
@[simp]
theorem aroots_X [CommRing S] [IsDomain S] [Algebra T S] :
aroots (X : T[X]) S = {0} := by
rw [aroots_def, map_X, roots_X]
@[simp]
theorem aroots_C [CommRing S] [IsDomain S] [Algebra T S] (a : T) : (C a).aroots S = 0 := by
rw [aroots_def, map_C, roots_C]
@[simp]
theorem aroots_zero (S) [CommRing S] [IsDomain S] [Algebra T S] : (0 : T[X]).aroots S = 0 := by
rw [← C_0, aroots_C]
@[simp]
theorem aroots_one [CommRing S] [IsDomain S] [Algebra T S] :
(1 : T[X]).aroots S = 0 :=
aroots_C 1
@[simp]
theorem aroots_neg [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) :
(-p).aroots S = p.aroots S := by
rw [aroots, Polynomial.map_neg, roots_neg]
@[simp]
theorem aroots_C_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) :
(C a * p).aroots S = p.aroots S := by
rw [aroots_def, Polynomial.map_mul, map_C, roots_C_mul]
rwa [map_ne_zero_iff]
exact NoZeroSMulDivisors.algebraMap_injective T S
@[simp]
theorem aroots_smul_nonzero [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) :
(a • p).aroots S = p.aroots S := by
rw [smul_eq_C_mul, aroots_C_mul _ ha]
@[simp]
theorem aroots_pow [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) (n : ℕ) :
(p ^ n).aroots S = n • p.aroots S := by
rw [aroots_def, Polynomial.map_pow, roots_pow]
theorem aroots_X_pow [CommRing S] [IsDomain S] [Algebra T S] (n : ℕ) :
(X ^ n : T[X]).aroots S = n • ({0} : Multiset S) := by
rw [aroots_pow, aroots_X]
theorem aroots_C_mul_X_pow [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (ha : a ≠ 0) (n : ℕ) :
(C a * X ^ n : T[X]).aroots S = n • ({0} : Multiset S) := by
rw [aroots_C_mul _ ha, aroots_X_pow]
@[simp]
theorem aroots_monomial [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (ha : a ≠ 0) (n : ℕ) :
(monomial n a).aroots S = n • ({0} : Multiset S) := by
rw [← C_mul_X_pow_eq_monomial, aroots_C_mul_X_pow ha]
def rootSet (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Set S :=
haveI := Classical.decEq S
(p.aroots S).toFinset
#align polynomial.root_set Polynomial.rootSet
| Mathlib/Algebra/Polynomial/Roots.lean | 508 | 511 | theorem rootSet_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] [DecidableEq S] :
p.rootSet S = (p.aroots S).toFinset := by |
rw [rootSet]
convert rfl
|
import Mathlib.CategoryTheory.Filtered.Basic
import Mathlib.Data.Set.Finite
import Mathlib.Data.Set.Subsingleton
import Mathlib.Topology.Category.TopCat.Limits.Konig
import Mathlib.Tactic.AdaptationNote
#align_import category_theory.cofiltered_system from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
universe u v w
open CategoryTheory CategoryTheory.IsCofiltered Set CategoryTheory.FunctorToTypes
namespace CategoryTheory
namespace Functor
variable {J : Type u} [Category J] (F : J ⥤ Type v) {i j k : J} (s : Set (F.obj i))
def eventualRange (j : J) :=
⋂ (i) (f : i ⟶ j), range (F.map f)
#align category_theory.functor.eventual_range CategoryTheory.Functor.eventualRange
theorem mem_eventualRange_iff {x : F.obj j} :
x ∈ F.eventualRange j ↔ ∀ ⦃i⦄ (f : i ⟶ j), x ∈ range (F.map f) :=
mem_iInter₂
#align category_theory.functor.mem_eventual_range_iff CategoryTheory.Functor.mem_eventualRange_iff
def IsMittagLeffler : Prop :=
∀ j : J, ∃ (i : _) (f : i ⟶ j), ∀ ⦃k⦄ (g : k ⟶ j), range (F.map f) ⊆ range (F.map g)
#align category_theory.functor.is_mittag_leffler CategoryTheory.Functor.IsMittagLeffler
theorem isMittagLeffler_iff_eventualRange :
F.IsMittagLeffler ↔ ∀ j : J, ∃ (i : _) (f : i ⟶ j), F.eventualRange j = range (F.map f) :=
forall_congr' fun _ =>
exists₂_congr fun _ _ =>
⟨fun h => (iInter₂_subset _ _).antisymm <| subset_iInter₂ h, fun h => h ▸ iInter₂_subset⟩
#align category_theory.functor.is_mittag_leffler_iff_eventual_range CategoryTheory.Functor.isMittagLeffler_iff_eventualRange
| Mathlib/CategoryTheory/CofilteredSystem.lean | 158 | 163 | theorem IsMittagLeffler.subset_image_eventualRange (h : F.IsMittagLeffler) (f : j ⟶ i) :
F.eventualRange i ⊆ F.map f '' F.eventualRange j := by |
obtain ⟨k, g, hg⟩ := F.isMittagLeffler_iff_eventualRange.1 h j
rw [hg]; intro x hx
obtain ⟨x, rfl⟩ := F.mem_eventualRange_iff.1 hx (g ≫ f)
exact ⟨_, ⟨x, rfl⟩, by rw [map_comp_apply]⟩
|
import Mathlib.Data.Finset.Lattice
#align_import combinatorics.set_family.compression.down from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
variable {α : Type*} [DecidableEq α] {𝒜 ℬ : Finset (Finset α)} {s : Finset α} {a : α}
namespace Finset
def nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) :=
𝒜.filter fun s => a ∉ s
#align finset.non_member_subfamily Finset.nonMemberSubfamily
def memberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) :=
(𝒜.filter fun s => a ∈ s).image fun s => erase s a
#align finset.member_subfamily Finset.memberSubfamily
@[simp]
theorem mem_nonMemberSubfamily : s ∈ 𝒜.nonMemberSubfamily a ↔ s ∈ 𝒜 ∧ a ∉ s := by
simp [nonMemberSubfamily]
#align finset.mem_non_member_subfamily Finset.mem_nonMemberSubfamily
@[simp]
theorem mem_memberSubfamily : s ∈ 𝒜.memberSubfamily a ↔ insert a s ∈ 𝒜 ∧ a ∉ s := by
simp_rw [memberSubfamily, mem_image, mem_filter]
refine ⟨?_, fun h => ⟨insert a s, ⟨h.1, by simp⟩, erase_insert h.2⟩⟩
rintro ⟨s, ⟨hs1, hs2⟩, rfl⟩
rw [insert_erase hs2]
exact ⟨hs1, not_mem_erase _ _⟩
#align finset.mem_member_subfamily Finset.mem_memberSubfamily
theorem nonMemberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∩ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∩ ℬ.nonMemberSubfamily a :=
filter_inter_distrib _ _ _
#align finset.non_member_subfamily_inter Finset.nonMemberSubfamily_inter
theorem memberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∩ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∩ ℬ.memberSubfamily a := by
unfold memberSubfamily
rw [filter_inter_distrib, image_inter_of_injOn _ _ ((erase_injOn' _).mono _)]
simp
#align finset.member_subfamily_inter Finset.memberSubfamily_inter
theorem nonMemberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∪ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∪ ℬ.nonMemberSubfamily a :=
filter_union _ _ _
#align finset.non_member_subfamily_union Finset.nonMemberSubfamily_union
theorem memberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) :
(𝒜 ∪ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∪ ℬ.memberSubfamily a := by
simp_rw [memberSubfamily, filter_union, image_union]
#align finset.member_subfamily_union Finset.memberSubfamily_union
theorem card_memberSubfamily_add_card_nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) :
(𝒜.memberSubfamily a).card + (𝒜.nonMemberSubfamily a).card = 𝒜.card := by
rw [memberSubfamily, nonMemberSubfamily, card_image_of_injOn]
· conv_rhs => rw [← filter_card_add_filter_neg_card_eq_card (fun s => (a ∈ s))]
· apply (erase_injOn' _).mono
simp
#align finset.card_member_subfamily_add_card_non_member_subfamily Finset.card_memberSubfamily_add_card_nonMemberSubfamily
theorem memberSubfamily_union_nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) :
𝒜.memberSubfamily a ∪ 𝒜.nonMemberSubfamily a = 𝒜.image fun s => s.erase a := by
ext s
simp only [mem_union, mem_memberSubfamily, mem_nonMemberSubfamily, mem_image, exists_prop]
constructor
· rintro (h | h)
· exact ⟨_, h.1, erase_insert h.2⟩
· exact ⟨_, h.1, erase_eq_of_not_mem h.2⟩
· rintro ⟨s, hs, rfl⟩
by_cases ha : a ∈ s
· exact Or.inl ⟨by rwa [insert_erase ha], not_mem_erase _ _⟩
· exact Or.inr ⟨by rwa [erase_eq_of_not_mem ha], not_mem_erase _ _⟩
#align finset.member_subfamily_union_non_member_subfamily Finset.memberSubfamily_union_nonMemberSubfamily
@[simp]
theorem memberSubfamily_memberSubfamily : (𝒜.memberSubfamily a).memberSubfamily a = ∅ := by
ext
simp
#align finset.member_subfamily_member_subfamily Finset.memberSubfamily_memberSubfamily
@[simp]
theorem memberSubfamily_nonMemberSubfamily : (𝒜.nonMemberSubfamily a).memberSubfamily a = ∅ := by
ext
simp
#align finset.member_subfamily_non_member_subfamily Finset.memberSubfamily_nonMemberSubfamily
@[simp]
| Mathlib/Combinatorics/SetFamily/Compression/Down.lean | 126 | 129 | theorem nonMemberSubfamily_memberSubfamily :
(𝒜.memberSubfamily a).nonMemberSubfamily a = 𝒜.memberSubfamily a := by |
ext
simp
|
import Mathlib.Analysis.InnerProductSpace.TwoDim
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
#align_import geometry.euclidean.angle.oriented.basic 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 "ω" => o.areaForm
def oangle (x y : V) : Real.Angle :=
Complex.arg (o.kahler x y)
#align orientation.oangle Orientation.oangle
theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) :
ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by
refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_
· exact o.kahler_ne_zero hx1 hx2
exact ((continuous_ofReal.comp continuous_inner).add
((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt
#align orientation.continuous_at_oangle Orientation.continuousAt_oangle
@[simp]
theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle]
#align orientation.oangle_zero_left Orientation.oangle_zero_left
@[simp]
theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle]
#align orientation.oangle_zero_right Orientation.oangle_zero_right
@[simp]
theorem oangle_self (x : V) : o.oangle x x = 0 := by
rw [oangle, kahler_apply_self, ← ofReal_pow]
convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π))
apply arg_ofReal_of_nonneg
positivity
#align orientation.oangle_self Orientation.oangle_self
theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by
rintro rfl; simp at h
#align orientation.left_ne_zero_of_oangle_ne_zero Orientation.left_ne_zero_of_oangle_ne_zero
theorem right_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : y ≠ 0 := by
rintro rfl; simp at h
#align orientation.right_ne_zero_of_oangle_ne_zero Orientation.right_ne_zero_of_oangle_ne_zero
theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by
rintro rfl; simp at h
#align orientation.ne_of_oangle_ne_zero Orientation.ne_of_oangle_ne_zero
theorem left_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi Orientation.left_ne_zero_of_oangle_eq_pi
theorem right_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi Orientation.right_ne_zero_of_oangle_eq_pi
theorem ne_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi Orientation.ne_of_oangle_eq_pi
theorem left_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi_div_two Orientation.left_ne_zero_of_oangle_eq_pi_div_two
theorem right_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi_div_two Orientation.right_ne_zero_of_oangle_eq_pi_div_two
theorem ne_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi_div_two Orientation.ne_of_oangle_eq_pi_div_two
theorem left_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two
theorem right_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two
theorem ne_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_neg_pi_div_two Orientation.ne_of_oangle_eq_neg_pi_div_two
theorem left_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.left_ne_zero_of_oangle_sign_ne_zero Orientation.left_ne_zero_of_oangle_sign_ne_zero
theorem right_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.right_ne_zero_of_oangle_sign_ne_zero Orientation.right_ne_zero_of_oangle_sign_ne_zero
theorem ne_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ y :=
o.ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.ne_of_oangle_sign_ne_zero Orientation.ne_of_oangle_sign_ne_zero
theorem left_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_one Orientation.left_ne_zero_of_oangle_sign_eq_one
theorem right_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_one Orientation.right_ne_zero_of_oangle_sign_eq_one
theorem ne_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_one Orientation.ne_of_oangle_sign_eq_one
theorem left_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_neg_one Orientation.left_ne_zero_of_oangle_sign_eq_neg_one
theorem right_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_neg_one Orientation.right_ne_zero_of_oangle_sign_eq_neg_one
theorem ne_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_neg_one Orientation.ne_of_oangle_sign_eq_neg_one
theorem oangle_rev (x y : V) : o.oangle y x = -o.oangle x y := by
simp only [oangle, o.kahler_swap y x, Complex.arg_conj_coe_angle]
#align orientation.oangle_rev Orientation.oangle_rev
@[simp]
theorem oangle_add_oangle_rev (x y : V) : o.oangle x y + o.oangle y x = 0 := by
simp [o.oangle_rev y x]
#align orientation.oangle_add_oangle_rev Orientation.oangle_add_oangle_rev
theorem oangle_neg_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle (-x) y = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_left Orientation.oangle_neg_left
theorem oangle_neg_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle x (-y) = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_right Orientation.oangle_neg_right
@[simp]
theorem two_zsmul_oangle_neg_left (x y : V) :
(2 : ℤ) • o.oangle (-x) y = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_left hx hy]
#align orientation.two_zsmul_oangle_neg_left Orientation.two_zsmul_oangle_neg_left
@[simp]
theorem two_zsmul_oangle_neg_right (x y : V) :
(2 : ℤ) • o.oangle x (-y) = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_right hx hy]
#align orientation.two_zsmul_oangle_neg_right Orientation.two_zsmul_oangle_neg_right
@[simp]
theorem oangle_neg_neg (x y : V) : o.oangle (-x) (-y) = o.oangle x y := by simp [oangle]
#align orientation.oangle_neg_neg Orientation.oangle_neg_neg
theorem oangle_neg_left_eq_neg_right (x y : V) : o.oangle (-x) y = o.oangle x (-y) := by
rw [← neg_neg y, oangle_neg_neg, neg_neg]
#align orientation.oangle_neg_left_eq_neg_right Orientation.oangle_neg_left_eq_neg_right
@[simp]
theorem oangle_neg_self_left {x : V} (hx : x ≠ 0) : o.oangle (-x) x = π := by
simp [oangle_neg_left, hx]
#align orientation.oangle_neg_self_left Orientation.oangle_neg_self_left
@[simp]
theorem oangle_neg_self_right {x : V} (hx : x ≠ 0) : o.oangle x (-x) = π := by
simp [oangle_neg_right, hx]
#align orientation.oangle_neg_self_right Orientation.oangle_neg_self_right
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_left (x : V) : (2 : ℤ) • o.oangle (-x) x = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_left Orientation.two_zsmul_oangle_neg_self_left
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_right (x : V) : (2 : ℤ) • o.oangle x (-x) = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_right Orientation.two_zsmul_oangle_neg_self_right
@[simp]
theorem oangle_add_oangle_rev_neg_left (x y : V) : o.oangle (-x) y + o.oangle (-y) x = 0 := by
rw [oangle_neg_left_eq_neg_right, oangle_rev, add_left_neg]
#align orientation.oangle_add_oangle_rev_neg_left Orientation.oangle_add_oangle_rev_neg_left
@[simp]
theorem oangle_add_oangle_rev_neg_right (x y : V) : o.oangle x (-y) + o.oangle y (-x) = 0 := by
rw [o.oangle_rev (-x), oangle_neg_left_eq_neg_right, add_neg_self]
#align orientation.oangle_add_oangle_rev_neg_right Orientation.oangle_add_oangle_rev_neg_right
@[simp]
theorem oangle_smul_left_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle (r • x) y = o.oangle x y := by simp [oangle, Complex.arg_real_mul _ hr]
#align orientation.oangle_smul_left_of_pos Orientation.oangle_smul_left_of_pos
@[simp]
theorem oangle_smul_right_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle x (r • y) = o.oangle x y := by simp [oangle, Complex.arg_real_mul _ hr]
#align orientation.oangle_smul_right_of_pos Orientation.oangle_smul_right_of_pos
@[simp]
theorem oangle_smul_left_of_neg (x y : V) {r : ℝ} (hr : r < 0) :
o.oangle (r • x) y = o.oangle (-x) y := by
rw [← neg_neg r, neg_smul, ← smul_neg, o.oangle_smul_left_of_pos _ _ (neg_pos_of_neg hr)]
#align orientation.oangle_smul_left_of_neg Orientation.oangle_smul_left_of_neg
@[simp]
theorem oangle_smul_right_of_neg (x y : V) {r : ℝ} (hr : r < 0) :
o.oangle x (r • y) = o.oangle x (-y) := by
rw [← neg_neg r, neg_smul, ← smul_neg, o.oangle_smul_right_of_pos _ _ (neg_pos_of_neg hr)]
#align orientation.oangle_smul_right_of_neg Orientation.oangle_smul_right_of_neg
@[simp]
theorem oangle_smul_left_self_of_nonneg (x : V) {r : ℝ} (hr : 0 ≤ r) : o.oangle (r • x) x = 0 := by
rcases hr.lt_or_eq with (h | h)
· simp [h]
· simp [h.symm]
#align orientation.oangle_smul_left_self_of_nonneg Orientation.oangle_smul_left_self_of_nonneg
@[simp]
theorem oangle_smul_right_self_of_nonneg (x : V) {r : ℝ} (hr : 0 ≤ r) : o.oangle x (r • x) = 0 := by
rcases hr.lt_or_eq with (h | h)
· simp [h]
· simp [h.symm]
#align orientation.oangle_smul_right_self_of_nonneg Orientation.oangle_smul_right_self_of_nonneg
@[simp]
theorem oangle_smul_smul_self_of_nonneg (x : V) {r₁ r₂ : ℝ} (hr₁ : 0 ≤ r₁) (hr₂ : 0 ≤ r₂) :
o.oangle (r₁ • x) (r₂ • x) = 0 := by
rcases hr₁.lt_or_eq with (h | h)
· simp [h, hr₂]
· simp [h.symm]
#align orientation.oangle_smul_smul_self_of_nonneg Orientation.oangle_smul_smul_self_of_nonneg
@[simp]
theorem two_zsmul_oangle_smul_left_of_ne_zero (x y : V) {r : ℝ} (hr : r ≠ 0) :
(2 : ℤ) • o.oangle (r • x) y = (2 : ℤ) • o.oangle x y := by
rcases hr.lt_or_lt with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_left_of_ne_zero Orientation.two_zsmul_oangle_smul_left_of_ne_zero
@[simp]
theorem two_zsmul_oangle_smul_right_of_ne_zero (x y : V) {r : ℝ} (hr : r ≠ 0) :
(2 : ℤ) • o.oangle x (r • y) = (2 : ℤ) • o.oangle x y := by
rcases hr.lt_or_lt with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_right_of_ne_zero Orientation.two_zsmul_oangle_smul_right_of_ne_zero
@[simp]
theorem two_zsmul_oangle_smul_left_self (x : V) {r : ℝ} : (2 : ℤ) • o.oangle (r • x) x = 0 := by
rcases lt_or_le r 0 with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_left_self Orientation.two_zsmul_oangle_smul_left_self
@[simp]
theorem two_zsmul_oangle_smul_right_self (x : V) {r : ℝ} : (2 : ℤ) • o.oangle x (r • x) = 0 := by
rcases lt_or_le r 0 with (h | h) <;> simp [h]
#align orientation.two_zsmul_oangle_smul_right_self Orientation.two_zsmul_oangle_smul_right_self
@[simp]
theorem two_zsmul_oangle_smul_smul_self (x : V) {r₁ r₂ : ℝ} :
(2 : ℤ) • o.oangle (r₁ • x) (r₂ • x) = 0 := by by_cases h : r₁ = 0 <;> simp [h]
#align orientation.two_zsmul_oangle_smul_smul_self Orientation.two_zsmul_oangle_smul_smul_self
theorem two_zsmul_oangle_left_of_span_eq {x y : V} (z : V) (h : (ℝ ∙ x) = ℝ ∙ y) :
(2 : ℤ) • o.oangle x z = (2 : ℤ) • o.oangle y z := by
rw [Submodule.span_singleton_eq_span_singleton] at h
rcases h with ⟨r, rfl⟩
exact (o.two_zsmul_oangle_smul_left_of_ne_zero _ _ (Units.ne_zero _)).symm
#align orientation.two_zsmul_oangle_left_of_span_eq Orientation.two_zsmul_oangle_left_of_span_eq
theorem two_zsmul_oangle_right_of_span_eq (x : V) {y z : V} (h : (ℝ ∙ y) = ℝ ∙ z) :
(2 : ℤ) • o.oangle x y = (2 : ℤ) • o.oangle x z := by
rw [Submodule.span_singleton_eq_span_singleton] at h
rcases h with ⟨r, rfl⟩
exact (o.two_zsmul_oangle_smul_right_of_ne_zero _ _ (Units.ne_zero _)).symm
#align orientation.two_zsmul_oangle_right_of_span_eq Orientation.two_zsmul_oangle_right_of_span_eq
theorem two_zsmul_oangle_of_span_eq_of_span_eq {w x y z : V} (hwx : (ℝ ∙ w) = ℝ ∙ x)
(hyz : (ℝ ∙ y) = ℝ ∙ z) : (2 : ℤ) • o.oangle w y = (2 : ℤ) • o.oangle x z := by
rw [o.two_zsmul_oangle_left_of_span_eq y hwx, o.two_zsmul_oangle_right_of_span_eq x hyz]
#align orientation.two_zsmul_oangle_of_span_eq_of_span_eq Orientation.two_zsmul_oangle_of_span_eq_of_span_eq
theorem oangle_eq_zero_iff_oangle_rev_eq_zero {x y : V} : o.oangle x y = 0 ↔ o.oangle y x = 0 := by
rw [oangle_rev, neg_eq_zero]
#align orientation.oangle_eq_zero_iff_oangle_rev_eq_zero Orientation.oangle_eq_zero_iff_oangle_rev_eq_zero
theorem oangle_eq_zero_iff_sameRay {x y : V} : o.oangle x y = 0 ↔ SameRay ℝ x y := by
rw [oangle, kahler_apply_apply, Complex.arg_coe_angle_eq_iff_eq_toReal, Real.Angle.toReal_zero,
Complex.arg_eq_zero_iff]
simpa using o.nonneg_inner_and_areaForm_eq_zero_iff_sameRay x y
#align orientation.oangle_eq_zero_iff_same_ray Orientation.oangle_eq_zero_iff_sameRay
theorem oangle_eq_pi_iff_oangle_rev_eq_pi {x y : V} : o.oangle x y = π ↔ o.oangle y x = π := by
rw [oangle_rev, neg_eq_iff_eq_neg, Real.Angle.neg_coe_pi]
#align orientation.oangle_eq_pi_iff_oangle_rev_eq_pi Orientation.oangle_eq_pi_iff_oangle_rev_eq_pi
theorem oangle_eq_pi_iff_sameRay_neg {x y : V} :
o.oangle x y = π ↔ x ≠ 0 ∧ y ≠ 0 ∧ SameRay ℝ x (-y) := by
rw [← o.oangle_eq_zero_iff_sameRay]
constructor
· intro h
by_cases hx : x = 0; · simp [hx, Real.Angle.pi_ne_zero.symm] at h
by_cases hy : y = 0; · simp [hy, Real.Angle.pi_ne_zero.symm] at h
refine ⟨hx, hy, ?_⟩
rw [o.oangle_neg_right hx hy, h, Real.Angle.coe_pi_add_coe_pi]
· rintro ⟨hx, hy, h⟩
rwa [o.oangle_neg_right hx hy, ← Real.Angle.sub_coe_pi_eq_add_coe_pi, sub_eq_zero] at h
#align orientation.oangle_eq_pi_iff_same_ray_neg Orientation.oangle_eq_pi_iff_sameRay_neg
theorem oangle_eq_zero_or_eq_pi_iff_not_linearIndependent {x y : V} :
o.oangle x y = 0 ∨ o.oangle x y = π ↔ ¬LinearIndependent ℝ ![x, y] := by
rw [oangle_eq_zero_iff_sameRay, oangle_eq_pi_iff_sameRay_neg,
sameRay_or_ne_zero_and_sameRay_neg_iff_not_linearIndependent]
#align orientation.oangle_eq_zero_or_eq_pi_iff_not_linear_independent Orientation.oangle_eq_zero_or_eq_pi_iff_not_linearIndependent
theorem oangle_eq_zero_or_eq_pi_iff_right_eq_smul {x y : V} :
o.oangle x y = 0 ∨ o.oangle x y = π ↔ x = 0 ∨ ∃ r : ℝ, y = r • x := by
rw [oangle_eq_zero_iff_sameRay, oangle_eq_pi_iff_sameRay_neg]
refine ⟨fun h => ?_, fun h => ?_⟩
· rcases h with (h | ⟨-, -, h⟩)
· by_cases hx : x = 0; · simp [hx]
obtain ⟨r, -, rfl⟩ := h.exists_nonneg_left hx
exact Or.inr ⟨r, rfl⟩
· by_cases hx : x = 0; · simp [hx]
obtain ⟨r, -, hy⟩ := h.exists_nonneg_left hx
refine Or.inr ⟨-r, ?_⟩
simp [hy]
· rcases h with (rfl | ⟨r, rfl⟩); · simp
by_cases hx : x = 0; · simp [hx]
rcases lt_trichotomy r 0 with (hr | hr | hr)
· rw [← neg_smul]
exact Or.inr ⟨hx, smul_ne_zero hr.ne hx,
SameRay.sameRay_pos_smul_right x (Left.neg_pos_iff.2 hr)⟩
· simp [hr]
· exact Or.inl (SameRay.sameRay_pos_smul_right x hr)
#align orientation.oangle_eq_zero_or_eq_pi_iff_right_eq_smul Orientation.oangle_eq_zero_or_eq_pi_iff_right_eq_smul
theorem oangle_ne_zero_and_ne_pi_iff_linearIndependent {x y : V} :
o.oangle x y ≠ 0 ∧ o.oangle x y ≠ π ↔ LinearIndependent ℝ ![x, y] := by
rw [← not_or, ← not_iff_not, Classical.not_not,
oangle_eq_zero_or_eq_pi_iff_not_linearIndependent]
#align orientation.oangle_ne_zero_and_ne_pi_iff_linear_independent Orientation.oangle_ne_zero_and_ne_pi_iff_linearIndependent
theorem eq_iff_norm_eq_and_oangle_eq_zero (x y : V) : x = y ↔ ‖x‖ = ‖y‖ ∧ o.oangle x y = 0 := by
rw [oangle_eq_zero_iff_sameRay]
constructor
· rintro rfl
simp; rfl
· rcases eq_or_ne y 0 with (rfl | hy)
· simp
rintro ⟨h₁, h₂⟩
obtain ⟨r, hr, rfl⟩ := h₂.exists_nonneg_right hy
have : ‖y‖ ≠ 0 := by simpa using hy
obtain rfl : r = 1 := by
apply mul_right_cancel₀ this
simpa [norm_smul, _root_.abs_of_nonneg hr] using h₁
simp
#align orientation.eq_iff_norm_eq_and_oangle_eq_zero Orientation.eq_iff_norm_eq_and_oangle_eq_zero
theorem eq_iff_oangle_eq_zero_of_norm_eq {x y : V} (h : ‖x‖ = ‖y‖) : x = y ↔ o.oangle x y = 0 :=
⟨fun he => ((o.eq_iff_norm_eq_and_oangle_eq_zero x y).1 he).2, fun ha =>
(o.eq_iff_norm_eq_and_oangle_eq_zero x y).2 ⟨h, ha⟩⟩
#align orientation.eq_iff_oangle_eq_zero_of_norm_eq Orientation.eq_iff_oangle_eq_zero_of_norm_eq
theorem eq_iff_norm_eq_of_oangle_eq_zero {x y : V} (h : o.oangle x y = 0) : x = y ↔ ‖x‖ = ‖y‖ :=
⟨fun he => ((o.eq_iff_norm_eq_and_oangle_eq_zero x y).1 he).1, fun hn =>
(o.eq_iff_norm_eq_and_oangle_eq_zero x y).2 ⟨hn, h⟩⟩
#align orientation.eq_iff_norm_eq_of_oangle_eq_zero Orientation.eq_iff_norm_eq_of_oangle_eq_zero
@[simp]
theorem oangle_add {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle x y + o.oangle y z = o.oangle x z := by
simp_rw [oangle]
rw [← Complex.arg_mul_coe_angle, o.kahler_mul y x z]
· congr 1
convert Complex.arg_real_mul _ (_ : 0 < ‖y‖ ^ 2) using 2
· norm_cast
· have : 0 < ‖y‖ := by simpa using hy
positivity
· exact o.kahler_ne_zero hx hy
· exact o.kahler_ne_zero hy hz
#align orientation.oangle_add Orientation.oangle_add
@[simp]
theorem oangle_add_swap {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle y z + o.oangle x y = o.oangle x z := by rw [add_comm, o.oangle_add hx hy hz]
#align orientation.oangle_add_swap Orientation.oangle_add_swap
@[simp]
theorem oangle_sub_left {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle x z - o.oangle x y = o.oangle y z := by
rw [sub_eq_iff_eq_add, o.oangle_add_swap hx hy hz]
#align orientation.oangle_sub_left Orientation.oangle_sub_left
@[simp]
theorem oangle_sub_right {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle x z - o.oangle y z = o.oangle x y := by rw [sub_eq_iff_eq_add, o.oangle_add hx hy hz]
#align orientation.oangle_sub_right Orientation.oangle_sub_right
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 546 | 547 | theorem oangle_add_cyc3 {x y z : V} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) :
o.oangle x y + o.oangle y z + o.oangle z x = 0 := by | simp [hx, hy, hz]
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Combinatorics.SimpleGraph.Basic
import Mathlib.Data.Sym.Card
open Finset Function
namespace SimpleGraph
variable {V : Type*} (G : SimpleGraph V) {e : Sym2 V}
section EdgeFinset
variable {G₁ G₂ : SimpleGraph V} [Fintype G.edgeSet] [Fintype G₁.edgeSet] [Fintype G₂.edgeSet]
abbrev edgeFinset : Finset (Sym2 V) :=
Set.toFinset G.edgeSet
#align simple_graph.edge_finset SimpleGraph.edgeFinset
@[norm_cast]
theorem coe_edgeFinset : (G.edgeFinset : Set (Sym2 V)) = G.edgeSet :=
Set.coe_toFinset _
#align simple_graph.coe_edge_finset SimpleGraph.coe_edgeFinset
variable {G}
theorem mem_edgeFinset : e ∈ G.edgeFinset ↔ e ∈ G.edgeSet :=
Set.mem_toFinset
#align simple_graph.mem_edge_finset SimpleGraph.mem_edgeFinset
theorem not_isDiag_of_mem_edgeFinset : e ∈ G.edgeFinset → ¬e.IsDiag :=
not_isDiag_of_mem_edgeSet _ ∘ mem_edgeFinset.1
#align simple_graph.not_is_diag_of_mem_edge_finset SimpleGraph.not_isDiag_of_mem_edgeFinset
theorem edgeFinset_inj : G₁.edgeFinset = G₂.edgeFinset ↔ G₁ = G₂ := by simp
#align simple_graph.edge_finset_inj SimpleGraph.edgeFinset_inj
theorem edgeFinset_subset_edgeFinset : G₁.edgeFinset ⊆ G₂.edgeFinset ↔ G₁ ≤ G₂ := by simp
#align simple_graph.edge_finset_subset_edge_finset SimpleGraph.edgeFinset_subset_edgeFinset
theorem edgeFinset_ssubset_edgeFinset : G₁.edgeFinset ⊂ G₂.edgeFinset ↔ G₁ < G₂ := by simp
#align simple_graph.edge_finset_ssubset_edge_finset SimpleGraph.edgeFinset_ssubset_edgeFinset
@[gcongr] alias ⟨_, edgeFinset_mono⟩ := edgeFinset_subset_edgeFinset
#align simple_graph.edge_finset_mono SimpleGraph.edgeFinset_mono
alias ⟨_, edgeFinset_strict_mono⟩ := edgeFinset_ssubset_edgeFinset
#align simple_graph.edge_finset_strict_mono SimpleGraph.edgeFinset_strict_mono
attribute [mono] edgeFinset_mono edgeFinset_strict_mono
@[simp]
theorem edgeFinset_bot : (⊥ : SimpleGraph V).edgeFinset = ∅ := by simp [edgeFinset]
#align simple_graph.edge_finset_bot SimpleGraph.edgeFinset_bot
@[simp]
theorem edgeFinset_sup [Fintype (edgeSet (G₁ ⊔ G₂))] [DecidableEq V] :
(G₁ ⊔ G₂).edgeFinset = G₁.edgeFinset ∪ G₂.edgeFinset := by simp [edgeFinset]
#align simple_graph.edge_finset_sup SimpleGraph.edgeFinset_sup
@[simp]
theorem edgeFinset_inf [DecidableEq V] : (G₁ ⊓ G₂).edgeFinset = G₁.edgeFinset ∩ G₂.edgeFinset := by
simp [edgeFinset]
#align simple_graph.edge_finset_inf SimpleGraph.edgeFinset_inf
@[simp]
theorem edgeFinset_sdiff [DecidableEq V] :
(G₁ \ G₂).edgeFinset = G₁.edgeFinset \ G₂.edgeFinset := by simp [edgeFinset]
#align simple_graph.edge_finset_sdiff SimpleGraph.edgeFinset_sdiff
theorem edgeFinset_card : G.edgeFinset.card = Fintype.card G.edgeSet :=
Set.toFinset_card _
#align simple_graph.edge_finset_card SimpleGraph.edgeFinset_card
@[simp]
theorem edgeSet_univ_card : (univ : Finset G.edgeSet).card = G.edgeFinset.card :=
Fintype.card_of_subtype G.edgeFinset fun _ => mem_edgeFinset
#align simple_graph.edge_set_univ_card SimpleGraph.edgeSet_univ_card
variable [Fintype V]
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Finite.lean | 120 | 122 | theorem edgeFinset_top [DecidableEq V] :
(⊤ : SimpleGraph V).edgeFinset = univ.filter fun e => ¬e.IsDiag := by |
rw [← coe_inj]; simp
|
import Mathlib.Data.List.Basic
#align_import data.list.forall2 from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec"
open Nat Function
namespace List
variable {α β γ δ : Type*} {R S : α → β → Prop} {P : γ → δ → Prop} {Rₐ : α → α → Prop}
open Relator
mk_iff_of_inductive_prop List.Forall₂ List.forall₂_iff
#align list.forall₂_iff List.forall₂_iff
#align list.forall₂.nil List.Forall₂.nil
#align list.forall₂.cons List.Forall₂.cons
#align list.forall₂_cons List.forall₂_cons
theorem Forall₂.imp (H : ∀ a b, R a b → S a b) {l₁ l₂} (h : Forall₂ R l₁ l₂) : Forall₂ S l₁ l₂ := by
induction h <;> constructor <;> solve_by_elim
#align list.forall₂.imp List.Forall₂.imp
theorem Forall₂.mp {Q : α → β → Prop} (h : ∀ a b, Q a b → R a b → S a b) :
∀ {l₁ l₂}, Forall₂ Q l₁ l₂ → Forall₂ R l₁ l₂ → Forall₂ S l₁ l₂
| [], [], Forall₂.nil, Forall₂.nil => Forall₂.nil
| a :: _, b :: _, Forall₂.cons hr hrs, Forall₂.cons hq hqs =>
Forall₂.cons (h a b hr hq) (Forall₂.mp h hrs hqs)
#align list.forall₂.mp List.Forall₂.mp
theorem Forall₂.flip : ∀ {a b}, Forall₂ (flip R) b a → Forall₂ R a b
| _, _, Forall₂.nil => Forall₂.nil
| _ :: _, _ :: _, Forall₂.cons h₁ h₂ => Forall₂.cons h₁ h₂.flip
#align list.forall₂.flip List.Forall₂.flip
@[simp]
theorem forall₂_same : ∀ {l : List α}, Forall₂ Rₐ l l ↔ ∀ x ∈ l, Rₐ x x
| [] => by simp
| a :: l => by simp [@forall₂_same l]
#align list.forall₂_same List.forall₂_same
theorem forall₂_refl [IsRefl α Rₐ] (l : List α) : Forall₂ Rₐ l l :=
forall₂_same.2 fun _ _ => refl _
#align list.forall₂_refl List.forall₂_refl
@[simp]
theorem forall₂_eq_eq_eq : Forall₂ ((· = ·) : α → α → Prop) = Eq := by
funext a b; apply propext
constructor
· intro h
induction h
· rfl
simp only [*]
· rintro rfl
exact forall₂_refl _
#align list.forall₂_eq_eq_eq List.forall₂_eq_eq_eq
@[simp]
theorem forall₂_nil_left_iff {l} : Forall₂ R nil l ↔ l = nil :=
⟨fun H => by cases H; rfl, by rintro rfl; exact Forall₂.nil⟩
#align list.forall₂_nil_left_iff List.forall₂_nil_left_iff
@[simp]
theorem forall₂_nil_right_iff {l} : Forall₂ R l nil ↔ l = nil :=
⟨fun H => by cases H; rfl, by rintro rfl; exact Forall₂.nil⟩
#align list.forall₂_nil_right_iff List.forall₂_nil_right_iff
theorem forall₂_cons_left_iff {a l u} :
Forall₂ R (a :: l) u ↔ ∃ b u', R a b ∧ Forall₂ R l u' ∧ u = b :: u' :=
Iff.intro
(fun h =>
match u, h with
| b :: u', Forall₂.cons h₁ h₂ => ⟨b, u', h₁, h₂, rfl⟩)
fun h =>
match u, h with
| _, ⟨_, _, h₁, h₂, rfl⟩ => Forall₂.cons h₁ h₂
#align list.forall₂_cons_left_iff List.forall₂_cons_left_iff
theorem forall₂_cons_right_iff {b l u} :
Forall₂ R u (b :: l) ↔ ∃ a u', R a b ∧ Forall₂ R u' l ∧ u = a :: u' :=
Iff.intro
(fun h =>
match u, h with
| b :: u', Forall₂.cons h₁ h₂ => ⟨b, u', h₁, h₂, rfl⟩)
fun h =>
match u, h with
| _, ⟨_, _, h₁, h₂, rfl⟩ => Forall₂.cons h₁ h₂
#align list.forall₂_cons_right_iff List.forall₂_cons_right_iff
theorem forall₂_and_left {p : α → Prop} :
∀ l u, Forall₂ (fun a b => p a ∧ R a b) l u ↔ (∀ a ∈ l, p a) ∧ Forall₂ R l u
| [], u => by
simp only [forall₂_nil_left_iff, forall_prop_of_false (not_mem_nil _), imp_true_iff,
true_and_iff]
| a :: l, u => by
simp only [forall₂_and_left l, forall₂_cons_left_iff, forall_mem_cons, and_assoc,
@and_comm _ (p a), @and_left_comm _ (p a), exists_and_left]
simp only [and_comm, and_assoc, and_left_comm, ← exists_and_right]
#align list.forall₂_and_left List.forall₂_and_left
@[simp]
theorem forall₂_map_left_iff {f : γ → α} :
∀ {l u}, Forall₂ R (map f l) u ↔ Forall₂ (fun c b => R (f c) b) l u
| [], _ => by simp only [map, forall₂_nil_left_iff]
| a :: l, _ => by simp only [map, forall₂_cons_left_iff, forall₂_map_left_iff]
#align list.forall₂_map_left_iff List.forall₂_map_left_iff
@[simp]
theorem forall₂_map_right_iff {f : γ → β} :
∀ {l u}, Forall₂ R l (map f u) ↔ Forall₂ (fun a c => R a (f c)) l u
| _, [] => by simp only [map, forall₂_nil_right_iff]
| _, b :: u => by simp only [map, forall₂_cons_right_iff, forall₂_map_right_iff]
#align list.forall₂_map_right_iff List.forall₂_map_right_iff
theorem left_unique_forall₂' (hr : LeftUnique R) : ∀ {a b c}, Forall₂ R a c → Forall₂ R b c → a = b
| _, _, _, Forall₂.nil, Forall₂.nil => rfl
| _, _, _, Forall₂.cons ha₀ h₀, Forall₂.cons ha₁ h₁ =>
hr ha₀ ha₁ ▸ left_unique_forall₂' hr h₀ h₁ ▸ rfl
#align list.left_unique_forall₂' List.left_unique_forall₂'
theorem _root_.Relator.LeftUnique.forall₂ (hr : LeftUnique R) : LeftUnique (Forall₂ R) :=
@left_unique_forall₂' _ _ _ hr
#align relator.left_unique.forall₂ Relator.LeftUnique.forall₂
theorem right_unique_forall₂' (hr : RightUnique R) :
∀ {a b c}, Forall₂ R a b → Forall₂ R a c → b = c
| _, _, _, Forall₂.nil, Forall₂.nil => rfl
| _, _, _, Forall₂.cons ha₀ h₀, Forall₂.cons ha₁ h₁ =>
hr ha₀ ha₁ ▸ right_unique_forall₂' hr h₀ h₁ ▸ rfl
#align list.right_unique_forall₂' List.right_unique_forall₂'
theorem _root_.Relator.RightUnique.forall₂ (hr : RightUnique R) : RightUnique (Forall₂ R) :=
@right_unique_forall₂' _ _ _ hr
#align relator.right_unique.forall₂ Relator.RightUnique.forall₂
theorem _root_.Relator.BiUnique.forall₂ (hr : BiUnique R) : BiUnique (Forall₂ R) :=
⟨hr.left.forall₂, hr.right.forall₂⟩
#align relator.bi_unique.forall₂ Relator.BiUnique.forall₂
theorem Forall₂.length_eq : ∀ {l₁ l₂}, Forall₂ R l₁ l₂ → length l₁ = length l₂
| _, _, Forall₂.nil => rfl
| _, _, Forall₂.cons _ h₂ => congr_arg succ (Forall₂.length_eq h₂)
#align list.forall₂.length_eq List.Forall₂.length_eq
theorem Forall₂.get :
∀ {x : List α} {y : List β}, Forall₂ R x y →
∀ ⦃i : ℕ⦄ (hx : i < x.length) (hy : i < y.length), R (x.get ⟨i, hx⟩) (y.get ⟨i, hy⟩)
| _, _, Forall₂.cons ha _, 0, _, _ => ha
| _, _, Forall₂.cons _ hl, succ _, _, _ => hl.get _ _
set_option linter.deprecated false in
@[deprecated (since := "2024-05-05")] theorem Forall₂.nthLe {x y} (h : Forall₂ R x y) ⦃i : ℕ⦄
(hx : i < x.length) (hy : i < y.length) : R (x.nthLe i hx) (y.nthLe i hy) := h.get hx hy
#align list.forall₂.nth_le List.Forall₂.nthLe
theorem forall₂_of_length_eq_of_get :
∀ {x : List α} {y : List β},
x.length = y.length → (∀ i h₁ h₂, R (x.get ⟨i, h₁⟩) (y.get ⟨i, h₂⟩)) → Forall₂ R x y
| [], [], _, _ => Forall₂.nil
| _ :: _, _ :: _, hl, h =>
Forall₂.cons (h 0 (Nat.zero_lt_succ _) (Nat.zero_lt_succ _))
(forall₂_of_length_eq_of_get (succ.inj hl) fun i h₁ h₂ =>
h i.succ (succ_lt_succ h₁) (succ_lt_succ h₂))
set_option linter.deprecated false in
@[deprecated (since := "2024-05-05")] theorem forall₂_of_length_eq_of_nthLe {x y}
(H : x.length = y.length) (H' : ∀ i h₁ h₂, R (x.nthLe i h₁) (y.nthLe i h₂)) :
Forall₂ R x y := forall₂_of_length_eq_of_get H H'
#align list.forall₂_of_length_eq_of_nth_le List.forall₂_of_length_eq_of_nthLe
theorem forall₂_iff_get {l₁ : List α} {l₂ : List β} :
Forall₂ R l₁ l₂ ↔ l₁.length = l₂.length ∧ ∀ i h₁ h₂, R (l₁.get ⟨i, h₁⟩) (l₂.get ⟨i, h₂⟩) :=
⟨fun h => ⟨h.length_eq, h.get⟩, fun h => forall₂_of_length_eq_of_get h.1 h.2⟩
set_option linter.deprecated false in
@[deprecated (since := "2024-05-05")] theorem forall₂_iff_nthLe {l₁ : List α} {l₂ : List β} :
Forall₂ R l₁ l₂ ↔ l₁.length = l₂.length ∧ ∀ i h₁ h₂, R (l₁.nthLe i h₁) (l₂.nthLe i h₂) :=
forall₂_iff_get
#align list.forall₂_iff_nth_le List.forall₂_iff_nthLe
theorem forall₂_zip : ∀ {l₁ l₂}, Forall₂ R l₁ l₂ → ∀ {a b}, (a, b) ∈ zip l₁ l₂ → R a b
| _, _, Forall₂.cons h₁ h₂, x, y, hx => by
rw [zip, zipWith, mem_cons] at hx
match hx with
| Or.inl rfl => exact h₁
| Or.inr h₃ => exact forall₂_zip h₂ h₃
#align list.forall₂_zip List.forall₂_zip
theorem forall₂_iff_zip {l₁ l₂} :
Forall₂ R l₁ l₂ ↔ length l₁ = length l₂ ∧ ∀ {a b}, (a, b) ∈ zip l₁ l₂ → R a b :=
⟨fun h => ⟨Forall₂.length_eq h, @forall₂_zip _ _ _ _ _ h⟩, fun h => by
cases' h with h₁ h₂
induction' l₁ with a l₁ IH generalizing l₂
· cases length_eq_zero.1 h₁.symm
constructor
· cases' l₂ with b l₂
· simp at h₁
· simp only [length_cons, succ.injEq] at h₁
exact Forall₂.cons (h₂ <| by simp [zip])
(IH h₁ fun h => h₂ <| by
simp only [zip, zipWith, find?, mem_cons, Prod.mk.injEq]; right
simpa [zip] using h)⟩
#align list.forall₂_iff_zip List.forall₂_iff_zip
theorem forall₂_take : ∀ (n) {l₁ l₂}, Forall₂ R l₁ l₂ → Forall₂ R (take n l₁) (take n l₂)
| 0, _, _, _ => by simp only [Forall₂.nil, take]
| _ + 1, _, _, Forall₂.nil => by simp only [Forall₂.nil, take]
| n + 1, _, _, Forall₂.cons h₁ h₂ => by simp [And.intro h₁ h₂, forall₂_take n]
#align list.forall₂_take List.forall₂_take
theorem forall₂_drop : ∀ (n) {l₁ l₂}, Forall₂ R l₁ l₂ → Forall₂ R (drop n l₁) (drop n l₂)
| 0, _, _, h => by simp only [drop, h]
| _ + 1, _, _, Forall₂.nil => by simp only [Forall₂.nil, drop]
| n + 1, _, _, Forall₂.cons h₁ h₂ => by simp [And.intro h₁ h₂, forall₂_drop n]
#align list.forall₂_drop List.forall₂_drop
| Mathlib/Data/List/Forall2.lean | 231 | 235 | theorem forall₂_take_append (l : List α) (l₁ : List β) (l₂ : List β) (h : Forall₂ R l (l₁ ++ l₂)) :
Forall₂ R (List.take (length l₁) l) l₁ := by |
have h' : Forall₂ R (take (length l₁) l) (take (length l₁) (l₁ ++ l₂)) :=
forall₂_take (length l₁) h
rwa [take_left] at h'
|
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