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import Mathlib.Algebra.Lie.Abelian
import Mathlib.Algebra.Lie.IdealOperations
import Mathlib.Order.Hom.Basic
#align_import algebra.lie.solvable from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476"
universe u v w w₁ w₂
variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L']
variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L}
namespace LieAlgebra
def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L :=
(fun I => ⁅I, I⁆)^[k]
#align lie_algebra.derived_series_of_ideal LieAlgebra.derivedSeriesOfIdeal
@[simp]
theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I :=
rfl
#align lie_algebra.derived_series_of_ideal_zero LieAlgebra.derivedSeriesOfIdeal_zero
@[simp]
theorem derivedSeriesOfIdeal_succ (k : ℕ) :
derivedSeriesOfIdeal R L (k + 1) I =
⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ :=
Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I
#align lie_algebra.derived_series_of_ideal_succ LieAlgebra.derivedSeriesOfIdeal_succ
abbrev derivedSeries (k : ℕ) : LieIdeal R L :=
derivedSeriesOfIdeal R L k ⊤
#align lie_algebra.derived_series LieAlgebra.derivedSeries
theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ :=
rfl
#align lie_algebra.derived_series_def LieAlgebra.derivedSeries_def
variable {R L}
local notation "D" => derivedSeriesOfIdeal R L
theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by
induction' k with k ih
· rw [Nat.zero_add, derivedSeriesOfIdeal_zero]
· rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih]
#align lie_algebra.derived_series_of_ideal_add LieAlgebra.derivedSeriesOfIdeal_add
@[mono]
theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) :
D k I ≤ D l J := by
revert l; induction' k with k ih <;> intro l h₂
· rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁
· have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂
cases' h with h h
· rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ]
exact LieSubmodule.mono_lie _ _ _ _ (ih (le_refl k)) (ih (le_refl k))
· rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h)
#align lie_algebra.derived_series_of_ideal_le LieAlgebra.derivedSeriesOfIdeal_le
theorem derivedSeriesOfIdeal_succ_le (k : ℕ) : D (k + 1) I ≤ D k I :=
derivedSeriesOfIdeal_le (le_refl I) k.le_succ
#align lie_algebra.derived_series_of_ideal_succ_le LieAlgebra.derivedSeriesOfIdeal_succ_le
theorem derivedSeriesOfIdeal_le_self (k : ℕ) : D k I ≤ I :=
derivedSeriesOfIdeal_le (le_refl I) (zero_le k)
#align lie_algebra.derived_series_of_ideal_le_self LieAlgebra.derivedSeriesOfIdeal_le_self
theorem derivedSeriesOfIdeal_mono {I J : LieIdeal R L} (h : I ≤ J) (k : ℕ) : D k I ≤ D k J :=
derivedSeriesOfIdeal_le h (le_refl k)
#align lie_algebra.derived_series_of_ideal_mono LieAlgebra.derivedSeriesOfIdeal_mono
theorem derivedSeriesOfIdeal_antitone {k l : ℕ} (h : l ≤ k) : D k I ≤ D l I :=
derivedSeriesOfIdeal_le (le_refl I) h
#align lie_algebra.derived_series_of_ideal_antitone LieAlgebra.derivedSeriesOfIdeal_antitone
theorem derivedSeriesOfIdeal_add_le_add (J : LieIdeal R L) (k l : ℕ) :
D (k + l) (I + J) ≤ D k I + D l J := by
let D₁ : LieIdeal R L →o LieIdeal R L :=
{ toFun := fun I => ⁅I, I⁆
monotone' := fun I J h => LieSubmodule.mono_lie I J I J h h }
have h₁ : ∀ I J : LieIdeal R L, D₁ (I ⊔ J) ≤ D₁ I ⊔ J := by
simp [D₁, LieSubmodule.lie_le_right, LieSubmodule.lie_le_left, le_sup_of_le_right]
rw [← D₁.iterate_sup_le_sup_iff] at h₁
exact h₁ k l I J
#align lie_algebra.derived_series_of_ideal_add_le_add LieAlgebra.derivedSeriesOfIdeal_add_le_add
| Mathlib/Algebra/Lie/Solvable.lean | 127 | 128 | theorem derivedSeries_of_bot_eq_bot (k : ℕ) : derivedSeriesOfIdeal R L k ⊥ = ⊥ := by |
rw [eq_bot_iff]; exact derivedSeriesOfIdeal_le_self ⊥ k
|
import Mathlib.Algebra.Lie.Submodule
import Mathlib.Algebra.Lie.OfAssociative
import Mathlib.LinearAlgebra.Isomorphisms
#align_import algebra.lie.quotient from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
universe u v w w₁ w₂
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M] [LieModule R L M]
variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L)
instance : HasQuotient M (LieSubmodule R L M) :=
⟨fun N => M ⧸ N.toSubmodule⟩
namespace Quotient
variable {N I}
instance addCommGroup : AddCommGroup (M ⧸ N) :=
Submodule.Quotient.addCommGroup _
#align lie_submodule.quotient.add_comm_group LieSubmodule.Quotient.addCommGroup
instance module' {S : Type*} [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
Module S (M ⧸ N) :=
Submodule.Quotient.module' _
#align lie_submodule.quotient.module' LieSubmodule.Quotient.module'
instance module : Module R (M ⧸ N) :=
Submodule.Quotient.module _
#align lie_submodule.quotient.module LieSubmodule.Quotient.module
instance isCentralScalar {S : Type*} [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M]
[SMul Sᵐᵒᵖ R] [Module Sᵐᵒᵖ M] [IsScalarTower Sᵐᵒᵖ R M] [IsCentralScalar S M] :
IsCentralScalar S (M ⧸ N) :=
Submodule.Quotient.isCentralScalar _
#align lie_submodule.quotient.is_central_scalar LieSubmodule.Quotient.isCentralScalar
instance inhabited : Inhabited (M ⧸ N) :=
⟨0⟩
#align lie_submodule.quotient.inhabited LieSubmodule.Quotient.inhabited
abbrev mk : M → M ⧸ N :=
Submodule.Quotient.mk
#align lie_submodule.quotient.mk LieSubmodule.Quotient.mk
theorem is_quotient_mk (m : M) : Quotient.mk'' m = (mk m : M ⧸ N) :=
rfl
#align lie_submodule.quotient.is_quotient_mk LieSubmodule.Quotient.is_quotient_mk
def lieSubmoduleInvariant : L →ₗ[R] Submodule.compatibleMaps N.toSubmodule N.toSubmodule :=
LinearMap.codRestrict _ (LieModule.toEnd R L M) fun _ _ => N.lie_mem
#align lie_submodule.quotient.lie_submodule_invariant LieSubmodule.Quotient.lieSubmoduleInvariant
variable (N)
def actionAsEndoMap : L →ₗ⁅R⁆ Module.End R (M ⧸ N) :=
{ LinearMap.comp (Submodule.mapQLinear (N : Submodule R M) (N : Submodule R M))
lieSubmoduleInvariant with
map_lie' := fun {_ _} =>
Submodule.linearMap_qext _ <| LinearMap.ext fun _ => congr_arg mk <| lie_lie _ _ _ }
#align lie_submodule.quotient.action_as_endo_map LieSubmodule.Quotient.actionAsEndoMap
instance actionAsEndoMapBracket : Bracket L (M ⧸ N) :=
⟨fun x n => actionAsEndoMap N x n⟩
#align lie_submodule.quotient.action_as_endo_map_bracket LieSubmodule.Quotient.actionAsEndoMapBracket
instance lieQuotientLieRingModule : LieRingModule L (M ⧸ N) :=
{ LieRingModule.compLieHom _ (actionAsEndoMap N) with bracket := Bracket.bracket }
#align lie_submodule.quotient.lie_quotient_lie_ring_module LieSubmodule.Quotient.lieQuotientLieRingModule
instance lieQuotientLieModule : LieModule R L (M ⧸ N) :=
LieModule.compLieHom _ (actionAsEndoMap N)
#align lie_submodule.quotient.lie_quotient_lie_module LieSubmodule.Quotient.lieQuotientLieModule
instance lieQuotientHasBracket : Bracket (L ⧸ I) (L ⧸ I) :=
⟨by
intro x y
apply Quotient.liftOn₂' x y fun x' y' => mk ⁅x', y'⁆
intro x₁ x₂ y₁ y₂ h₁ h₂
apply (Submodule.Quotient.eq I.toSubmodule).2
rw [Submodule.quotientRel_r_def] at h₁ h₂
have h : ⁅x₁, x₂⁆ - ⁅y₁, y₂⁆ = ⁅x₁, x₂ - y₂⁆ + ⁅x₁ - y₁, y₂⁆ := by
simp [-lie_skew, sub_eq_add_neg, add_assoc]
rw [h]
apply Submodule.add_mem
· apply lie_mem_right R L I x₁ (x₂ - y₂) h₂
· apply lie_mem_left R L I (x₁ - y₁) y₂ h₁⟩
#align lie_submodule.quotient.lie_quotient_has_bracket LieSubmodule.Quotient.lieQuotientHasBracket
set_option backward.isDefEq.lazyProjDelta false in -- See https://github.com/leanprover-community/mathlib4/issues/12535
@[simp]
theorem mk_bracket (x y : L) : mk ⁅x, y⁆ = ⁅(mk x : L ⧸ I), (mk y : L ⧸ I)⁆ :=
rfl
#align lie_submodule.quotient.mk_bracket LieSubmodule.Quotient.mk_bracket
instance lieQuotientLieRing : LieRing (L ⧸ I) where
add_lie := by
intro x' y' z'; refine Quotient.inductionOn₃' x' y' z' ?_; intro x y z
repeat'
first
| rw [is_quotient_mk]
| rw [← mk_bracket]
| rw [← Submodule.Quotient.mk_add (R := R) (M := L)]
apply congr_arg; apply add_lie
lie_add := by
intro x' y' z'; refine Quotient.inductionOn₃' x' y' z' ?_; intro x y z
repeat'
first
| rw [is_quotient_mk]
| rw [← mk_bracket]
| rw [← Submodule.Quotient.mk_add (R := R) (M := L)]
apply congr_arg; apply lie_add
lie_self := by
intro x'; refine Quotient.inductionOn' x' ?_; intro x
rw [is_quotient_mk, ← mk_bracket]
apply congr_arg; apply lie_self
leibniz_lie := by
intro x' y' z'; refine Quotient.inductionOn₃' x' y' z' ?_; intro x y z
repeat'
first
| rw [is_quotient_mk]
| rw [← mk_bracket]
| rw [← Submodule.Quotient.mk_add (R := R) (M := L)]
apply congr_arg; apply leibniz_lie
#align lie_submodule.quotient.lie_quotient_lie_ring LieSubmodule.Quotient.lieQuotientLieRing
instance lieQuotientLieAlgebra : LieAlgebra R (L ⧸ I) where
lie_smul := by
intro t x' y'; refine Quotient.inductionOn₂' x' y' ?_; intro x y
repeat'
first
| rw [is_quotient_mk]
| rw [← mk_bracket]
| rw [← Submodule.Quotient.mk_smul (R := R) (M := L)]
apply congr_arg; apply lie_smul
#align lie_submodule.quotient.lie_quotient_lie_algebra LieSubmodule.Quotient.lieQuotientLieAlgebra
@[simps]
def mk' : M →ₗ⁅R,L⁆ M ⧸ N :=
{ N.toSubmodule.mkQ with
toFun := mk
map_lie' := fun {_ _} => rfl }
#align lie_submodule.quotient.mk' LieSubmodule.Quotient.mk'
@[simp]
theorem surjective_mk' : Function.Surjective (mk' N) := surjective_quot_mk _
@[simp]
| Mathlib/Algebra/Lie/Quotient.lean | 190 | 190 | theorem range_mk' : LieModuleHom.range (mk' N) = ⊤ := by | simp [LieModuleHom.range_eq_top]
|
import Mathlib.Algebra.Lie.CartanSubalgebra
import Mathlib.Algebra.Lie.Weights.Basic
suppress_compilation
open Set
variable {R L : Type*} [CommRing R] [LieRing L] [LieAlgebra R L]
(H : LieSubalgebra R L) [LieAlgebra.IsNilpotent R H]
{M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
namespace LieAlgebra
open scoped TensorProduct
open TensorProduct.LieModule LieModule
abbrev rootSpace (χ : H → R) : LieSubmodule R H L :=
weightSpace L χ
#align lie_algebra.root_space LieAlgebra.rootSpace
theorem zero_rootSpace_eq_top_of_nilpotent [IsNilpotent R L] :
rootSpace (⊤ : LieSubalgebra R L) 0 = ⊤ :=
zero_weightSpace_eq_top_of_nilpotent L
#align lie_algebra.zero_root_space_eq_top_of_nilpotent LieAlgebra.zero_rootSpace_eq_top_of_nilpotent
@[simp]
theorem rootSpace_comap_eq_weightSpace (χ : H → R) :
(rootSpace H χ).comap H.incl' = weightSpace H χ :=
comap_weightSpace_eq_of_injective Subtype.coe_injective
#align lie_algebra.root_space_comap_eq_weight_space LieAlgebra.rootSpace_comap_eq_weightSpace
variable {H}
theorem lie_mem_weightSpace_of_mem_weightSpace {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) : ⁅x, m⁆ ∈ weightSpace M (χ₁ + χ₂) := by
rw [weightSpace, LieSubmodule.mem_iInf]
intro y
replace hx : x ∈ weightSpaceOf L (χ₁ y) y := by
rw [rootSpace, weightSpace, LieSubmodule.mem_iInf] at hx; exact hx y
replace hm : m ∈ weightSpaceOf M (χ₂ y) y := by
rw [weightSpace, LieSubmodule.mem_iInf] at hm; exact hm y
exact lie_mem_maxGenEigenspace_toEnd hx hm
#align lie_algebra.lie_mem_weight_space_of_mem_weight_space LieAlgebra.lie_mem_weightSpace_of_mem_weightSpace
lemma toEnd_pow_apply_mem {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) (n) :
(toEnd R L M x ^ n : Module.End R M) m ∈ weightSpace M (n • χ₁ + χ₂) := by
induction n
· simpa using hm
· next n IH =>
simp only [pow_succ', LinearMap.mul_apply, toEnd_apply_apply,
Nat.cast_add, Nat.cast_one, rootSpace]
convert lie_mem_weightSpace_of_mem_weightSpace hx IH using 2
rw [succ_nsmul, ← add_assoc, add_comm (n • _)]
variable (R L H M)
def rootSpaceWeightSpaceProductAux {χ₁ χ₂ χ₃ : H → R} (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ →ₗ[R] weightSpace M χ₂ →ₗ[R] weightSpace M χ₃ where
toFun x :=
{ toFun := fun m =>
⟨⁅(x : L), (m : M)⁆, hχ ▸ lie_mem_weightSpace_of_mem_weightSpace x.property m.property⟩
map_add' := fun m n => by simp only [LieSubmodule.coe_add, lie_add]; rfl
map_smul' := fun t m => by
dsimp only
conv_lhs =>
congr
rw [LieSubmodule.coe_smul, lie_smul]
rfl }
map_add' x y := by
ext m
simp only [AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, add_lie, LinearMap.coe_mk,
AddHom.coe_mk, LinearMap.add_apply, AddSubmonoid.mk_add_mk]
map_smul' t x := by
simp only [RingHom.id_apply]
ext m
simp only [SetLike.val_smul, smul_lie, LinearMap.coe_mk, AddHom.coe_mk, LinearMap.smul_apply,
SetLike.mk_smul_mk]
#align lie_algebra.root_space_weight_space_product_aux LieAlgebra.rootSpaceWeightSpaceProductAux
-- Porting note (#11083): this def is _really_ slow
-- See https://github.com/leanprover-community/mathlib4/issues/5028
def rootSpaceWeightSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] weightSpace M χ₂ →ₗ⁅R,H⁆ weightSpace M χ₃ :=
liftLie R H (rootSpace H χ₁) (weightSpace M χ₂) (weightSpace M χ₃)
{ toLinearMap := rootSpaceWeightSpaceProductAux R L H M hχ
map_lie' := fun {x y} => by
ext m
simp only [rootSpaceWeightSpaceProductAux, LieSubmodule.coe_bracket,
LieSubalgebra.coe_bracket_of_module, lie_lie, LinearMap.coe_mk, AddHom.coe_mk,
Subtype.coe_mk, LieHom.lie_apply, LieSubmodule.coe_sub] }
#align lie_algebra.root_space_weight_space_product LieAlgebra.rootSpaceWeightSpaceProduct
@[simp]
theorem coe_rootSpaceWeightSpaceProduct_tmul (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃)
(x : rootSpace H χ₁) (m : weightSpace M χ₂) :
(rootSpaceWeightSpaceProduct R L H M χ₁ χ₂ χ₃ hχ (x ⊗ₜ m) : M) = ⁅(x : L), (m : M)⁆ := by
simp only [rootSpaceWeightSpaceProduct, rootSpaceWeightSpaceProductAux, coe_liftLie_eq_lift_coe,
AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, lift_apply, LinearMap.coe_mk, AddHom.coe_mk,
Submodule.coe_mk]
#align lie_algebra.coe_root_space_weight_space_product_tmul LieAlgebra.coe_rootSpaceWeightSpaceProduct_tmul
theorem mapsTo_toEnd_weightSpace_add_of_mem_rootSpace (α χ : H → R)
{x : L} (hx : x ∈ rootSpace H α) :
MapsTo (toEnd R L M x) (weightSpace M χ) (weightSpace M (α + χ)) := by
intro m hm
let x' : rootSpace H α := ⟨x, hx⟩
let m' : weightSpace M χ := ⟨m, hm⟩
exact (rootSpaceWeightSpaceProduct R L H M α χ (α + χ) rfl (x' ⊗ₜ m')).property
def rootSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] rootSpace H χ₂ →ₗ⁅R,H⁆ rootSpace H χ₃ :=
rootSpaceWeightSpaceProduct R L H L χ₁ χ₂ χ₃ hχ
#align lie_algebra.root_space_product LieAlgebra.rootSpaceProduct
@[simp]
theorem rootSpaceProduct_def : rootSpaceProduct R L H = rootSpaceWeightSpaceProduct R L H L := rfl
#align lie_algebra.root_space_product_def LieAlgebra.rootSpaceProduct_def
theorem rootSpaceProduct_tmul
(χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) (x : rootSpace H χ₁) (y : rootSpace H χ₂) :
(rootSpaceProduct R L H χ₁ χ₂ χ₃ hχ (x ⊗ₜ y) : L) = ⁅(x : L), (y : L)⁆ := by
simp only [rootSpaceProduct_def, coe_rootSpaceWeightSpaceProduct_tmul]
#align lie_algebra.root_space_product_tmul LieAlgebra.rootSpaceProduct_tmul
def zeroRootSubalgebra : LieSubalgebra R L :=
{ toSubmodule := (rootSpace H 0 : Submodule R L)
lie_mem' := fun {x y hx hy} => by
let xy : rootSpace H 0 ⊗[R] rootSpace H 0 := ⟨x, hx⟩ ⊗ₜ ⟨y, hy⟩
suffices (rootSpaceProduct R L H 0 0 0 (add_zero 0) xy : L) ∈ rootSpace H 0 by
rwa [rootSpaceProduct_tmul, Subtype.coe_mk, Subtype.coe_mk] at this
exact (rootSpaceProduct R L H 0 0 0 (add_zero 0) xy).property }
#align lie_algebra.zero_root_subalgebra LieAlgebra.zeroRootSubalgebra
@[simp]
theorem coe_zeroRootSubalgebra : (zeroRootSubalgebra R L H : Submodule R L) = rootSpace H 0 := rfl
#align lie_algebra.coe_zero_root_subalgebra LieAlgebra.coe_zeroRootSubalgebra
theorem mem_zeroRootSubalgebra (x : L) :
x ∈ zeroRootSubalgebra R L H ↔ ∀ y : H, ∃ k : ℕ, (toEnd R H L y ^ k) x = 0 := by
change x ∈ rootSpace H 0 ↔ _
simp only [mem_weightSpace, Pi.zero_apply, zero_smul, sub_zero]
#align lie_algebra.mem_zero_root_subalgebra LieAlgebra.mem_zeroRootSubalgebra
theorem toLieSubmodule_le_rootSpace_zero : H.toLieSubmodule ≤ rootSpace H 0 := by
intro x hx
simp only [LieSubalgebra.mem_toLieSubmodule] at hx
simp only [mem_weightSpace, Pi.zero_apply, sub_zero, zero_smul]
intro y
obtain ⟨k, hk⟩ := (inferInstance : IsNilpotent R H)
use k
let f : Module.End R H := toEnd R H H y
let g : Module.End R L := toEnd R H L y
have hfg : g.comp (H : Submodule R L).subtype = (H : Submodule R L).subtype.comp f := by
ext z
simp only [toEnd_apply_apply, Submodule.subtype_apply,
LieSubalgebra.coe_bracket_of_module, LieSubalgebra.coe_bracket, Function.comp_apply,
LinearMap.coe_comp]
rfl
change (g ^ k).comp (H : Submodule R L).subtype ⟨x, hx⟩ = 0
rw [LinearMap.commute_pow_left_of_commute hfg k]
have h := iterate_toEnd_mem_lowerCentralSeries R H H y ⟨x, hx⟩ k
rw [hk, LieSubmodule.mem_bot] at h
simp only [Submodule.subtype_apply, Function.comp_apply, LinearMap.pow_apply, LinearMap.coe_comp,
Submodule.coe_eq_zero]
exact h
#align lie_algebra.to_lie_submodule_le_root_space_zero LieAlgebra.toLieSubmodule_le_rootSpace_zero
instance [Nontrivial H] : Nontrivial (weightSpace L (0 : H → R)) := by
obtain ⟨⟨x, hx⟩, ⟨y, hy⟩, e⟩ := exists_pair_ne H
exact ⟨⟨x, toLieSubmodule_le_rootSpace_zero R L H hx⟩,
⟨y, toLieSubmodule_le_rootSpace_zero R L H hy⟩, by simpa using e⟩
| Mathlib/Algebra/Lie/Weights/Cartan.lean | 211 | 214 | theorem le_zeroRootSubalgebra : H ≤ zeroRootSubalgebra R L H := by |
rw [← LieSubalgebra.coe_submodule_le_coe_submodule, ← H.coe_toLieSubmodule,
coe_zeroRootSubalgebra, LieSubmodule.coeSubmodule_le_coeSubmodule]
exact toLieSubmodule_le_rootSpace_zero R L H
|
import Mathlib.NumberTheory.Divisors
import Mathlib.Data.Nat.Digits
import Mathlib.Data.Nat.MaxPowDiv
import Mathlib.Data.Nat.Multiplicity
import Mathlib.Tactic.IntervalCases
#align_import number_theory.padics.padic_val from "leanprover-community/mathlib"@"60fa54e778c9e85d930efae172435f42fb0d71f7"
universe u
open Nat
open Rat
open multiplicity
def padicValNat (p : ℕ) (n : ℕ) : ℕ :=
if h : p ≠ 1 ∧ 0 < n then (multiplicity p n).get (multiplicity.finite_nat_iff.2 h) else 0
#align padic_val_nat padicValNat
namespace padicValNat
open multiplicity
variable {p : ℕ}
@[simp]
protected theorem zero : padicValNat p 0 = 0 := by simp [padicValNat]
#align padic_val_nat.zero padicValNat.zero
@[simp]
protected theorem one : padicValNat p 1 = 0 := by
unfold padicValNat
split_ifs
· simp
· rfl
#align padic_val_nat.one padicValNat.one
@[simp]
theorem self (hp : 1 < p) : padicValNat p p = 1 := by
have neq_one : ¬p = 1 ↔ True := iff_of_true hp.ne' trivial
have eq_zero_false : p = 0 ↔ False := iff_false_intro (zero_lt_one.trans hp).ne'
simp [padicValNat, neq_one, eq_zero_false]
#align padic_val_nat.self padicValNat.self
@[simp]
theorem eq_zero_iff {n : ℕ} : padicValNat p n = 0 ↔ p = 1 ∨ n = 0 ∨ ¬p ∣ n := by
simp only [padicValNat, dite_eq_right_iff, PartENat.get_eq_iff_eq_coe, Nat.cast_zero,
multiplicity_eq_zero, and_imp, pos_iff_ne_zero, Ne, ← or_iff_not_imp_left]
#align padic_val_nat.eq_zero_iff padicValNat.eq_zero_iff
theorem eq_zero_of_not_dvd {n : ℕ} (h : ¬p ∣ n) : padicValNat p n = 0 :=
eq_zero_iff.2 <| Or.inr <| Or.inr h
#align padic_val_nat.eq_zero_of_not_dvd padicValNat.eq_zero_of_not_dvd
open Nat.maxPowDiv
theorem maxPowDiv_eq_multiplicity {p n : ℕ} (hp : 1 < p) (hn : 0 < n) :
p.maxPowDiv n = multiplicity p n := by
apply multiplicity.unique <| pow_dvd p n
intro h
apply Nat.not_lt.mpr <| le_of_dvd hp hn h
simp
| Mathlib/NumberTheory/Padics/PadicVal.lean | 126 | 129 | theorem maxPowDiv_eq_multiplicity_get {p n : ℕ} (hp : 1 < p) (hn : 0 < n) (h : Finite p n) :
p.maxPowDiv n = (multiplicity p n).get h := by |
rw [PartENat.get_eq_iff_eq_coe.mpr]
apply maxPowDiv_eq_multiplicity hp hn|>.symm
|
import Mathlib.Analysis.Analytic.Composition
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Analysis.Complex.CauchyIntegral
import Mathlib.Analysis.SpecialFunctions.Complex.LogDeriv
open Complex Set
open scoped Topology
variable {E : Type} [NormedAddCommGroup E] [NormedSpace ℂ E]
variable {f g : E → ℂ} {z : ℂ} {x : E} {s : Set E}
theorem analyticOn_cexp : AnalyticOn ℂ exp univ := by
rw [analyticOn_univ_iff_differentiable]; exact differentiable_exp
theorem analyticAt_cexp : AnalyticAt ℂ exp z :=
analyticOn_cexp z (mem_univ _)
theorem AnalyticAt.cexp (fa : AnalyticAt ℂ f x) : AnalyticAt ℂ (fun z ↦ exp (f z)) x :=
analyticAt_cexp.comp fa
theorem AnalyticOn.cexp (fs : AnalyticOn ℂ f s) : AnalyticOn ℂ (fun z ↦ exp (f z)) s :=
fun z n ↦ analyticAt_cexp.comp (fs z n)
| Mathlib/Analysis/SpecialFunctions/Complex/Analytic.lean | 40 | 44 | theorem analyticAt_clog (m : z ∈ slitPlane) : AnalyticAt ℂ log z := by |
rw [analyticAt_iff_eventually_differentiableAt]
filter_upwards [isOpen_slitPlane.eventually_mem m]
intro z m
exact differentiableAt_id.clog m
|
import Mathlib.Algebra.Category.ModuleCat.Basic
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.CategoryTheory.Monoidal.Linear
#align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2"
-- Porting note: Module
set_option linter.uppercaseLean3 false
suppress_compilation
universe v w x u
open CategoryTheory
namespace ModuleCat
variable {R : Type u} [CommRing R]
namespace MonoidalCategory
-- The definitions inside this namespace are essentially private.
-- After we build the `MonoidalCategory (Module R)` instance,
-- you should use that API.
open TensorProduct
attribute [local ext] TensorProduct.ext
def tensorObj (M N : ModuleCat R) : ModuleCat R :=
ModuleCat.of R (M ⊗[R] N)
#align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj
def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') :
tensorObj M M' ⟶ tensorObj N N' :=
TensorProduct.map f g
#align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom
def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) :
tensorObj M N₁ ⟶ tensorObj M N₂ :=
f.lTensor M
def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) :
tensorObj M₁ N ⟶ tensorObj M₂ N :=
f.rTensor N
theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by
-- Porting note: even with high priority ext fails to find this
apply TensorProduct.ext
rfl
#align Module.monoidal_category.tensor_id ModuleCat.MonoidalCategory.tensor_id
theorem tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁)
(g₂ : Y₂ ⟶ Z₂) : tensorHom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensorHom f₁ f₂ ≫ tensorHom g₁ g₂ := by
-- Porting note: even with high priority ext fails to find this
apply TensorProduct.ext
rfl
#align Module.monoidal_category.tensor_comp ModuleCat.MonoidalCategory.tensor_comp
def associator (M : ModuleCat.{v} R) (N : ModuleCat.{w} R) (K : ModuleCat.{x} R) :
tensorObj (tensorObj M N) K ≅ tensorObj M (tensorObj N K) :=
(TensorProduct.assoc R M N K).toModuleIso
#align Module.monoidal_category.associator ModuleCat.MonoidalCategory.associator
def leftUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (R ⊗[R] M) ≅ M :=
(LinearEquiv.toModuleIso (TensorProduct.lid R M) : of R (R ⊗ M) ≅ of R M).trans (ofSelfIso M)
#align Module.monoidal_category.left_unitor ModuleCat.MonoidalCategory.leftUnitor
def rightUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (M ⊗[R] R) ≅ M :=
(LinearEquiv.toModuleIso (TensorProduct.rid R M) : of R (M ⊗ R) ≅ of R M).trans (ofSelfIso M)
#align Module.monoidal_category.right_unitor ModuleCat.MonoidalCategory.rightUnitor
instance : MonoidalCategoryStruct (ModuleCat.{u} R) where
tensorObj := tensorObj
whiskerLeft := whiskerLeft
whiskerRight := whiskerRight
tensorHom f g := TensorProduct.map f g
tensorUnit := ModuleCat.of R R
associator := associator
leftUnitor := leftUnitor
rightUnitor := rightUnitor
section
open TensorProduct (assoc map)
private theorem associator_naturality_aux {X₁ X₂ X₃ : Type*} [AddCommMonoid X₁] [AddCommMonoid X₂]
[AddCommMonoid X₃] [Module R X₁] [Module R X₂] [Module R X₃] {Y₁ Y₂ Y₃ : Type*}
[AddCommMonoid Y₁] [AddCommMonoid Y₂] [AddCommMonoid Y₃] [Module R Y₁] [Module R Y₂]
[Module R Y₃] (f₁ : X₁ →ₗ[R] Y₁) (f₂ : X₂ →ₗ[R] Y₂) (f₃ : X₃ →ₗ[R] Y₃) :
↑(assoc R Y₁ Y₂ Y₃) ∘ₗ map (map f₁ f₂) f₃ = map f₁ (map f₂ f₃) ∘ₗ ↑(assoc R X₁ X₂ X₃) := by
apply TensorProduct.ext_threefold
intro x y z
rfl
-- Porting note: private so hopeful never used outside this file
-- #align Module.monoidal_category.associator_naturality_aux ModuleCat.MonoidalCategory.associator_naturality_aux
variable (R)
private theorem pentagon_aux (W X Y Z : Type*) [AddCommMonoid W] [AddCommMonoid X]
[AddCommMonoid Y] [AddCommMonoid Z] [Module R W] [Module R X] [Module R Y] [Module R Z] :
(((assoc R X Y Z).toLinearMap.lTensor W).comp
(assoc R W (X ⊗[R] Y) Z).toLinearMap).comp
((assoc R W X Y).toLinearMap.rTensor Z) =
(assoc R W X (Y ⊗[R] Z)).toLinearMap.comp (assoc R (W ⊗[R] X) Y Z).toLinearMap := by
apply TensorProduct.ext_fourfold
intro w x y z
rfl
-- Porting note: private so hopeful never used outside this file
-- #align Module.monoidal_category.pentagon_aux Module.monoidal_category.pentagon_aux
end
| Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean | 151 | 155 | theorem associator_naturality {X₁ X₂ X₃ Y₁ Y₂ Y₃ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂)
(f₃ : X₃ ⟶ Y₃) :
tensorHom (tensorHom f₁ f₂) f₃ ≫ (associator Y₁ Y₂ Y₃).hom =
(associator X₁ X₂ X₃).hom ≫ tensorHom f₁ (tensorHom f₂ f₃) := by |
convert associator_naturality_aux f₁ f₂ f₃ using 1
|
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
import Mathlib.Topology.Order.LeftRightLim
#align_import measure_theory.measure.stieltjes from "leanprover-community/mathlib"@"20d5763051978e9bc6428578ed070445df6a18b3"
noncomputable section
open scoped Classical
open Set Filter Function ENNReal NNReal Topology MeasureTheory
open ENNReal (ofReal)
structure StieltjesFunction where
toFun : ℝ → ℝ
mono' : Monotone toFun
right_continuous' : ∀ x, ContinuousWithinAt toFun (Ici x) x
#align stieltjes_function StieltjesFunction
#align stieltjes_function.to_fun StieltjesFunction.toFun
#align stieltjes_function.mono' StieltjesFunction.mono'
#align stieltjes_function.right_continuous' StieltjesFunction.right_continuous'
namespace StieltjesFunction
attribute [coe] toFun
instance instCoeFun : CoeFun StieltjesFunction fun _ => ℝ → ℝ :=
⟨toFun⟩
#align stieltjes_function.has_coe_to_fun StieltjesFunction.instCoeFun
initialize_simps_projections StieltjesFunction (toFun → apply)
@[ext] lemma ext {f g : StieltjesFunction} (h : ∀ x, f x = g x) : f = g := by
exact (StieltjesFunction.mk.injEq ..).mpr (funext (by exact h))
variable (f : StieltjesFunction)
theorem mono : Monotone f :=
f.mono'
#align stieltjes_function.mono StieltjesFunction.mono
theorem right_continuous (x : ℝ) : ContinuousWithinAt f (Ici x) x :=
f.right_continuous' x
#align stieltjes_function.right_continuous StieltjesFunction.right_continuous
theorem rightLim_eq (f : StieltjesFunction) (x : ℝ) : Function.rightLim f x = f x := by
rw [← f.mono.continuousWithinAt_Ioi_iff_rightLim_eq, continuousWithinAt_Ioi_iff_Ici]
exact f.right_continuous' x
#align stieltjes_function.right_lim_eq StieltjesFunction.rightLim_eq
theorem iInf_Ioi_eq (f : StieltjesFunction) (x : ℝ) : ⨅ r : Ioi x, f r = f x := by
suffices Function.rightLim f x = ⨅ r : Ioi x, f r by rw [← this, f.rightLim_eq]
rw [f.mono.rightLim_eq_sInf, sInf_image']
rw [← neBot_iff]
infer_instance
#align stieltjes_function.infi_Ioi_eq StieltjesFunction.iInf_Ioi_eq
theorem iInf_rat_gt_eq (f : StieltjesFunction) (x : ℝ) :
⨅ r : { r' : ℚ // x < r' }, f r = f x := by
rw [← iInf_Ioi_eq f x]
refine (Real.iInf_Ioi_eq_iInf_rat_gt _ ?_ f.mono).symm
refine ⟨f x, fun y => ?_⟩
rintro ⟨y, hy_mem, rfl⟩
exact f.mono (le_of_lt hy_mem)
#align stieltjes_function.infi_rat_gt_eq StieltjesFunction.iInf_rat_gt_eq
@[simps]
protected def id : StieltjesFunction where
toFun := id
mono' _ _ := id
right_continuous' _ := continuousWithinAt_id
#align stieltjes_function.id StieltjesFunction.id
#align stieltjes_function.id_apply StieltjesFunction.id_apply
@[simp]
theorem id_leftLim (x : ℝ) : leftLim StieltjesFunction.id x = x :=
tendsto_nhds_unique (StieltjesFunction.id.mono.tendsto_leftLim x) <|
continuousAt_id.tendsto.mono_left nhdsWithin_le_nhds
#align stieltjes_function.id_left_lim StieltjesFunction.id_leftLim
instance instInhabited : Inhabited StieltjesFunction :=
⟨StieltjesFunction.id⟩
#align stieltjes_function.inhabited StieltjesFunction.instInhabited
noncomputable def _root_.Monotone.stieltjesFunction {f : ℝ → ℝ} (hf : Monotone f) :
StieltjesFunction where
toFun := rightLim f
mono' x y hxy := hf.rightLim hxy
right_continuous' := by
intro x s hs
obtain ⟨l, u, hlu, lus⟩ : ∃ l u : ℝ, rightLim f x ∈ Ioo l u ∧ Ioo l u ⊆ s :=
mem_nhds_iff_exists_Ioo_subset.1 hs
obtain ⟨y, xy, h'y⟩ : ∃ (y : ℝ), x < y ∧ Ioc x y ⊆ f ⁻¹' Ioo l u :=
mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 (hf.tendsto_rightLim x (Ioo_mem_nhds hlu.1 hlu.2))
change ∀ᶠ y in 𝓝[≥] x, rightLim f y ∈ s
filter_upwards [Ico_mem_nhdsWithin_Ici ⟨le_refl x, xy⟩] with z hz
apply lus
refine ⟨hlu.1.trans_le (hf.rightLim hz.1), ?_⟩
obtain ⟨a, za, ay⟩ : ∃ a : ℝ, z < a ∧ a < y := exists_between hz.2
calc
rightLim f z ≤ f a := hf.rightLim_le za
_ < u := (h'y ⟨hz.1.trans_lt za, ay.le⟩).2
#align monotone.stieltjes_function Monotone.stieltjesFunction
theorem _root_.Monotone.stieltjesFunction_eq {f : ℝ → ℝ} (hf : Monotone f) (x : ℝ) :
hf.stieltjesFunction x = rightLim f x :=
rfl
#align monotone.stieltjes_function_eq Monotone.stieltjesFunction_eq
theorem countable_leftLim_ne (f : StieltjesFunction) : Set.Countable { x | leftLim f x ≠ f x } := by
refine Countable.mono ?_ f.mono.countable_not_continuousAt
intro x hx h'x
apply hx
exact tendsto_nhds_unique (f.mono.tendsto_leftLim x) (h'x.tendsto.mono_left nhdsWithin_le_nhds)
#align stieltjes_function.countable_left_lim_ne StieltjesFunction.countable_leftLim_ne
def length (s : Set ℝ) : ℝ≥0∞ :=
⨅ (a) (b) (_ : s ⊆ Ioc a b), ofReal (f b - f a)
#align stieltjes_function.length StieltjesFunction.length
@[simp]
theorem length_empty : f.length ∅ = 0 :=
nonpos_iff_eq_zero.1 <| iInf_le_of_le 0 <| iInf_le_of_le 0 <| by simp
#align stieltjes_function.length_empty StieltjesFunction.length_empty
@[simp]
theorem length_Ioc (a b : ℝ) : f.length (Ioc a b) = ofReal (f b - f a) := by
refine
le_antisymm (iInf_le_of_le a <| iInf₂_le b Subset.rfl)
(le_iInf fun a' => le_iInf fun b' => le_iInf fun h => ENNReal.coe_le_coe.2 ?_)
rcases le_or_lt b a with ab | ab
· rw [Real.toNNReal_of_nonpos (sub_nonpos.2 (f.mono ab))]
apply zero_le
cases' (Ioc_subset_Ioc_iff ab).1 h with h₁ h₂
exact Real.toNNReal_le_toNNReal (sub_le_sub (f.mono h₁) (f.mono h₂))
#align stieltjes_function.length_Ioc StieltjesFunction.length_Ioc
theorem length_mono {s₁ s₂ : Set ℝ} (h : s₁ ⊆ s₂) : f.length s₁ ≤ f.length s₂ :=
iInf_mono fun _ => biInf_mono fun _ => h.trans
#align stieltjes_function.length_mono StieltjesFunction.length_mono
open MeasureTheory
protected def outer : OuterMeasure ℝ :=
OuterMeasure.ofFunction f.length f.length_empty
#align stieltjes_function.outer StieltjesFunction.outer
theorem outer_le_length (s : Set ℝ) : f.outer s ≤ f.length s :=
OuterMeasure.ofFunction_le _
#align stieltjes_function.outer_le_length StieltjesFunction.outer_le_length
| Mathlib/MeasureTheory/Measure/Stieltjes.lean | 190 | 221 | theorem length_subadditive_Icc_Ioo {a b : ℝ} {c d : ℕ → ℝ} (ss : Icc a b ⊆ ⋃ i, Ioo (c i) (d i)) :
ofReal (f b - f a) ≤ ∑' i, ofReal (f (d i) - f (c i)) := by |
suffices
∀ (s : Finset ℕ) (b), Icc a b ⊆ (⋃ i ∈ (s : Set ℕ), Ioo (c i) (d i)) →
(ofReal (f b - f a) : ℝ≥0∞) ≤ ∑ i ∈ s, ofReal (f (d i) - f (c i)) by
rcases isCompact_Icc.elim_finite_subcover_image
(fun (i : ℕ) (_ : i ∈ univ) => @isOpen_Ioo _ _ _ _ (c i) (d i)) (by simpa using ss) with
⟨s, _, hf, hs⟩
have e : ⋃ i ∈ (hf.toFinset : Set ℕ), Ioo (c i) (d i) = ⋃ i ∈ s, Ioo (c i) (d i) := by
simp only [ext_iff, exists_prop, Finset.set_biUnion_coe, mem_iUnion, forall_const,
iff_self_iff, Finite.mem_toFinset]
rw [ENNReal.tsum_eq_iSup_sum]
refine le_trans ?_ (le_iSup _ hf.toFinset)
exact this hf.toFinset _ (by simpa only [e] )
clear ss b
refine fun s => Finset.strongInductionOn s fun s IH b cv => ?_
rcases le_total b a with ab | ab
· rw [ENNReal.ofReal_eq_zero.2 (sub_nonpos.2 (f.mono ab))]
exact zero_le _
have := cv ⟨ab, le_rfl⟩
simp only [Finset.mem_coe, gt_iff_lt, not_lt, ge_iff_le, mem_iUnion, mem_Ioo, exists_and_left,
exists_prop] at this
rcases this with ⟨i, cb, is, bd⟩
rw [← Finset.insert_erase is] at cv ⊢
rw [Finset.coe_insert, biUnion_insert] at cv
rw [Finset.sum_insert (Finset.not_mem_erase _ _)]
refine le_trans ?_ (add_le_add_left (IH _ (Finset.erase_ssubset is) (c i) ?_) _)
· refine le_trans (ENNReal.ofReal_le_ofReal ?_) ENNReal.ofReal_add_le
rw [sub_add_sub_cancel]
exact sub_le_sub_right (f.mono bd.le) _
· rintro x ⟨h₁, h₂⟩
exact (cv ⟨h₁, le_trans h₂ (le_of_lt cb)⟩).resolve_left (mt And.left (not_lt_of_le h₂))
|
import Mathlib.Algebra.Group.Indicator
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Field.Rat
import Mathlib.GroupTheory.GroupAction.Group
import Mathlib.GroupTheory.GroupAction.Pi
#align_import algebra.module.basic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
open Function Set
universe u v
variable {α R M M₂ : Type*}
@[deprecated (since := "2024-04-17")]
alias map_nat_cast_smul := map_natCast_smul
theorem map_inv_natCast_smul [AddCommMonoid M] [AddCommMonoid M₂] {F : Type*} [FunLike F M M₂]
[AddMonoidHomClass F M M₂] (f : F) (R S : Type*)
[DivisionSemiring R] [DivisionSemiring S] [Module R M]
[Module S M₂] (n : ℕ) (x : M) : f ((n⁻¹ : R) • x) = (n⁻¹ : S) • f x := by
by_cases hR : (n : R) = 0 <;> by_cases hS : (n : S) = 0
· simp [hR, hS, map_zero f]
· suffices ∀ y, f y = 0 by rw [this, this, smul_zero]
clear x
intro x
rw [← inv_smul_smul₀ hS (f x), ← map_natCast_smul f R S]
simp [hR, map_zero f]
· suffices ∀ y, f y = 0 by simp [this]
clear x
intro x
rw [← smul_inv_smul₀ hR x, map_natCast_smul f R S, hS, zero_smul]
· rw [← inv_smul_smul₀ hS (f _), ← map_natCast_smul f R S, smul_inv_smul₀ hR]
#align map_inv_nat_cast_smul map_inv_natCast_smul
@[deprecated (since := "2024-04-17")]
alias map_inv_nat_cast_smul := map_inv_natCast_smul
| Mathlib/Algebra/Module/Basic.lean | 49 | 55 | theorem map_inv_intCast_smul [AddCommGroup M] [AddCommGroup M₂] {F : Type*} [FunLike F M M₂]
[AddMonoidHomClass F M M₂] (f : F) (R S : Type*) [DivisionRing R] [DivisionRing S] [Module R M]
[Module S M₂] (z : ℤ) (x : M) : f ((z⁻¹ : R) • x) = (z⁻¹ : S) • f x := by |
obtain ⟨n, rfl | rfl⟩ := z.eq_nat_or_neg
· rw [Int.cast_natCast, Int.cast_natCast, map_inv_natCast_smul _ R S]
· simp_rw [Int.cast_neg, Int.cast_natCast, inv_neg, neg_smul, map_neg,
map_inv_natCast_smul _ R S]
|
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Range
#align_import data.list.nat_antidiagonal from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
open List Function Nat
namespace List
namespace Nat
def antidiagonal (n : ℕ) : List (ℕ × ℕ) :=
(range (n + 1)).map fun i ↦ (i, n - i)
#align list.nat.antidiagonal List.Nat.antidiagonal
@[simp]
theorem mem_antidiagonal {n : ℕ} {x : ℕ × ℕ} : x ∈ antidiagonal n ↔ x.1 + x.2 = n := by
rw [antidiagonal, mem_map]; constructor
· rintro ⟨i, hi, rfl⟩
rw [mem_range, Nat.lt_succ_iff] at hi
exact Nat.add_sub_cancel' hi
· rintro rfl
refine ⟨x.fst, ?_, ?_⟩
· rw [mem_range]
omega
· exact Prod.ext rfl (by simp only [Nat.add_sub_cancel_left])
#align list.nat.mem_antidiagonal List.Nat.mem_antidiagonal
@[simp]
theorem length_antidiagonal (n : ℕ) : (antidiagonal n).length = n + 1 := by
rw [antidiagonal, length_map, length_range]
#align list.nat.length_antidiagonal List.Nat.length_antidiagonal
@[simp]
theorem antidiagonal_zero : antidiagonal 0 = [(0, 0)] :=
rfl
#align list.nat.antidiagonal_zero List.Nat.antidiagonal_zero
theorem nodup_antidiagonal (n : ℕ) : Nodup (antidiagonal n) :=
(nodup_range _).map ((@LeftInverse.injective ℕ (ℕ × ℕ) Prod.fst fun i ↦ (i, n - i)) fun _ ↦ rfl)
#align list.nat.nodup_antidiagonal List.Nat.nodup_antidiagonal
@[simp]
| Mathlib/Data/List/NatAntidiagonal.lean | 68 | 73 | theorem antidiagonal_succ {n : ℕ} :
antidiagonal (n + 1) = (0, n + 1) :: (antidiagonal n).map (Prod.map Nat.succ id) := by |
simp only [antidiagonal, range_succ_eq_map, map_cons, true_and_iff, Nat.add_succ_sub_one,
Nat.add_zero, id, eq_self_iff_true, Nat.sub_zero, map_map, Prod.map_mk]
apply congr rfl (congr rfl _)
ext; simp
|
import Mathlib.Algebra.Group.Commutator
import Mathlib.Algebra.Group.Subgroup.Finite
import Mathlib.Data.Bracket
import Mathlib.GroupTheory.Subgroup.Centralizer
import Mathlib.Tactic.Group
#align_import group_theory.commutator from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef"
variable {G G' F : Type*} [Group G] [Group G'] [FunLike F G G'] [MonoidHomClass F G G']
variable (f : F) {g₁ g₂ g₃ g : G}
theorem commutatorElement_eq_one_iff_mul_comm : ⁅g₁, g₂⁆ = 1 ↔ g₁ * g₂ = g₂ * g₁ := by
rw [commutatorElement_def, mul_inv_eq_one, mul_inv_eq_iff_eq_mul]
#align commutator_element_eq_one_iff_mul_comm commutatorElement_eq_one_iff_mul_comm
theorem commutatorElement_eq_one_iff_commute : ⁅g₁, g₂⁆ = 1 ↔ Commute g₁ g₂ :=
commutatorElement_eq_one_iff_mul_comm
#align commutator_element_eq_one_iff_commute commutatorElement_eq_one_iff_commute
theorem Commute.commutator_eq (h : Commute g₁ g₂) : ⁅g₁, g₂⁆ = 1 :=
commutatorElement_eq_one_iff_commute.mpr h
#align commute.commutator_eq Commute.commutator_eq
variable (g₁ g₂ g₃ g)
@[simp]
theorem commutatorElement_one_right : ⁅g, (1 : G)⁆ = 1 :=
(Commute.one_right g).commutator_eq
#align commutator_element_one_right commutatorElement_one_right
@[simp]
theorem commutatorElement_one_left : ⁅(1 : G), g⁆ = 1 :=
(Commute.one_left g).commutator_eq
#align commutator_element_one_left commutatorElement_one_left
@[simp]
theorem commutatorElement_self : ⁅g, g⁆ = 1 :=
(Commute.refl g).commutator_eq
#align commutator_element_self commutatorElement_self
@[simp]
theorem commutatorElement_inv : ⁅g₁, g₂⁆⁻¹ = ⁅g₂, g₁⁆ := by
simp_rw [commutatorElement_def, mul_inv_rev, inv_inv, mul_assoc]
#align commutator_element_inv commutatorElement_inv
theorem map_commutatorElement : (f ⁅g₁, g₂⁆ : G') = ⁅f g₁, f g₂⁆ := by
simp_rw [commutatorElement_def, map_mul f, map_inv f]
#align map_commutator_element map_commutatorElement
theorem conjugate_commutatorElement : g₃ * ⁅g₁, g₂⁆ * g₃⁻¹ = ⁅g₃ * g₁ * g₃⁻¹, g₃ * g₂ * g₃⁻¹⁆ :=
map_commutatorElement (MulAut.conj g₃).toMonoidHom g₁ g₂
#align conjugate_commutator_element conjugate_commutatorElement
namespace Subgroup
instance commutator : Bracket (Subgroup G) (Subgroup G) :=
⟨fun H₁ H₂ => closure { g | ∃ g₁ ∈ H₁, ∃ g₂ ∈ H₂, ⁅g₁, g₂⁆ = g }⟩
#align subgroup.commutator Subgroup.commutator
theorem commutator_def (H₁ H₂ : Subgroup G) :
⁅H₁, H₂⁆ = closure { g | ∃ g₁ ∈ H₁, ∃ g₂ ∈ H₂, ⁅g₁, g₂⁆ = g } :=
rfl
#align subgroup.commutator_def Subgroup.commutator_def
variable {g₁ g₂ g₃} {H₁ H₂ H₃ K₁ K₂ : Subgroup G}
theorem commutator_mem_commutator (h₁ : g₁ ∈ H₁) (h₂ : g₂ ∈ H₂) : ⁅g₁, g₂⁆ ∈ ⁅H₁, H₂⁆ :=
subset_closure ⟨g₁, h₁, g₂, h₂, rfl⟩
#align subgroup.commutator_mem_commutator Subgroup.commutator_mem_commutator
theorem commutator_le : ⁅H₁, H₂⁆ ≤ H₃ ↔ ∀ g₁ ∈ H₁, ∀ g₂ ∈ H₂, ⁅g₁, g₂⁆ ∈ H₃ :=
H₃.closure_le.trans
⟨fun h a b c d => h ⟨a, b, c, d, rfl⟩, fun h _g ⟨a, b, c, d, h_eq⟩ => h_eq ▸ h a b c d⟩
#align subgroup.commutator_le Subgroup.commutator_le
theorem commutator_mono (h₁ : H₁ ≤ K₁) (h₂ : H₂ ≤ K₂) : ⁅H₁, H₂⁆ ≤ ⁅K₁, K₂⁆ :=
commutator_le.mpr fun _g₁ hg₁ _g₂ hg₂ => commutator_mem_commutator (h₁ hg₁) (h₂ hg₂)
#align subgroup.commutator_mono Subgroup.commutator_mono
theorem commutator_eq_bot_iff_le_centralizer : ⁅H₁, H₂⁆ = ⊥ ↔ H₁ ≤ centralizer H₂ := by
rw [eq_bot_iff, commutator_le]
refine forall_congr' fun p =>
forall_congr' fun _hp => forall_congr' fun q => forall_congr' fun hq => ?_
rw [mem_bot, commutatorElement_eq_one_iff_mul_comm, eq_comm]
#align subgroup.commutator_eq_bot_iff_le_centralizer Subgroup.commutator_eq_bot_iff_le_centralizer
theorem commutator_commutator_eq_bot_of_rotate (h1 : ⁅⁅H₂, H₃⁆, H₁⁆ = ⊥) (h2 : ⁅⁅H₃, H₁⁆, H₂⁆ = ⊥) :
⁅⁅H₁, H₂⁆, H₃⁆ = ⊥ := by
simp_rw [commutator_eq_bot_iff_le_centralizer, commutator_le,
mem_centralizer_iff_commutator_eq_one, ← commutatorElement_def] at h1 h2 ⊢
intro x hx y hy z hz
trans x * z * ⁅y, ⁅z⁻¹, x⁻¹⁆⁆⁻¹ * z⁻¹ * y * ⁅x⁻¹, ⁅y⁻¹, z⁆⁆⁻¹ * y⁻¹ * x⁻¹
· group
· rw [h1 _ (H₂.inv_mem hy) _ hz _ (H₁.inv_mem hx), h2 _ (H₃.inv_mem hz) _ (H₁.inv_mem hx) _ hy]
group
#align subgroup.commutator_commutator_eq_bot_of_rotate Subgroup.commutator_commutator_eq_bot_of_rotate
variable (H₁ H₂)
theorem commutator_comm_le : ⁅H₁, H₂⁆ ≤ ⁅H₂, H₁⁆ :=
commutator_le.mpr fun g₁ h₁ g₂ h₂ =>
commutatorElement_inv g₂ g₁ ▸ ⁅H₂, H₁⁆.inv_mem_iff.mpr (commutator_mem_commutator h₂ h₁)
#align subgroup.commutator_comm_le Subgroup.commutator_comm_le
theorem commutator_comm : ⁅H₁, H₂⁆ = ⁅H₂, H₁⁆ :=
le_antisymm (commutator_comm_le H₁ H₂) (commutator_comm_le H₂ H₁)
#align subgroup.commutator_comm Subgroup.commutator_comm
| Mathlib/GroupTheory/Commutator.lean | 173 | 180 | theorem map_commutator (f : G →* G') : map f ⁅H₁, H₂⁆ = ⁅map f H₁, map f H₂⁆ := by |
simp_rw [le_antisymm_iff, map_le_iff_le_comap, commutator_le, mem_comap, map_commutatorElement]
constructor
· intro p hp q hq
exact commutator_mem_commutator (mem_map_of_mem _ hp) (mem_map_of_mem _ hq)
· rintro _ ⟨p, hp, rfl⟩ _ ⟨q, hq, rfl⟩
rw [← map_commutatorElement]
exact mem_map_of_mem _ (commutator_mem_commutator hp hq)
|
import Mathlib.LinearAlgebra.Matrix.DotProduct
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Matrix.Diagonal
#align_import data.matrix.rank from "leanprover-community/mathlib"@"17219820a8aa8abe85adf5dfde19af1dd1bd8ae7"
open Matrix
namespace Matrix
open FiniteDimensional
variable {l m n o R : Type*} [Fintype n] [Fintype o]
section CommRing
variable [CommRing R]
noncomputable def rank (A : Matrix m n R) : ℕ :=
finrank R <| LinearMap.range A.mulVecLin
#align matrix.rank Matrix.rank
@[simp]
theorem rank_one [StrongRankCondition R] [DecidableEq n] :
rank (1 : Matrix n n R) = Fintype.card n := by
rw [rank, mulVecLin_one, LinearMap.range_id, finrank_top, finrank_pi]
#align matrix.rank_one Matrix.rank_one
@[simp]
| Mathlib/Data/Matrix/Rank.lean | 55 | 56 | theorem rank_zero [Nontrivial R] : rank (0 : Matrix m n R) = 0 := by |
rw [rank, mulVecLin_zero, LinearMap.range_zero, finrank_bot]
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
#align measure_theory.lintegral_const MeasureTheory.lintegral_const
theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp
#align measure_theory.lintegral_zero MeasureTheory.lintegral_zero
theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 :=
lintegral_zero
#align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun
-- @[simp] -- Porting note (#10618): simp can prove this
theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul]
#align measure_theory.lintegral_one MeasureTheory.lintegral_one
theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by
rw [lintegral_const, Measure.restrict_apply_univ]
#align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const
theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul]
#align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one
theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) :
∫⁻ _ in s, c ∂μ < ∞ := by
rw [lintegral_const]
exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ)
#align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top
theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by
simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc
#align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top
section
variable (μ)
theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) :
∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀
· exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩
rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩
have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by
intro n
simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using
(hLf n).2
choose g hgm hgf hLg using this
refine
⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩
· refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_
exact le_iSup (fun n => g n x) n
· exact lintegral_mono fun x => iSup_le fun n => hgf n x
#align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq
end
theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ =
⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by
rw [lintegral]
refine
le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩)
by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞
· let ψ := φ.map ENNReal.toNNReal
replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal
have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x)
exact
le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h))
· have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h
refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_)
obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb)
use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞})
simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const,
ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast,
restrict_const_lintegral]
refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩
simp only [mem_preimage, mem_singleton_iff] at hx
simp only [hx, le_top]
#align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal
theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞)
{ε : ℝ≥0∞} (hε : ε ≠ 0) :
∃ φ : α →ₛ ℝ≥0,
(∀ x, ↑(φ x) ≤ f x) ∧
∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by
rw [lintegral_eq_nnreal] at h
have := ENNReal.lt_add_right h hε
erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩]
simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this
rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩
refine ⟨φ, hle, fun ψ hψ => ?_⟩
have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle)
rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ
norm_cast
simp only [add_apply, sub_apply, add_tsub_eq_max]
rfl
#align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos
theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) :
⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by
simp only [← iSup_apply]
exact (monotone_lintegral μ).le_map_iSup
#align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le
theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by
convert (monotone_lintegral μ).le_map_iSup₂ f with a
simp only [iSup_apply]
#align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le
theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) :
∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by
simp only [← iInf_apply]
exact (monotone_lintegral μ).map_iInf_le
#align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 260 | 263 | theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by |
convert (monotone_lintegral μ).map_iInf₂_le f with a
simp only [iInf_apply]
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Iterate
import Mathlib.Order.SemiconjSup
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Order.MonotoneContinuity
#align_import dynamics.circle.rotation_number.translation_number from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open Filter Set Int Topology
open Function hiding Commute
structure CircleDeg1Lift extends ℝ →o ℝ : Type where
map_add_one' : ∀ x, toFun (x + 1) = toFun x + 1
#align circle_deg1_lift CircleDeg1Lift
namespace CircleDeg1Lift
instance : FunLike CircleDeg1Lift ℝ ℝ where
coe f := f.toFun
coe_injective' | ⟨⟨_, _⟩, _⟩, ⟨⟨_, _⟩, _⟩, rfl => rfl
instance : OrderHomClass CircleDeg1Lift ℝ ℝ where
map_rel f _ _ h := f.monotone' h
@[simp] theorem coe_mk (f h) : ⇑(mk f h) = f := rfl
#align circle_deg1_lift.coe_mk CircleDeg1Lift.coe_mk
variable (f g : CircleDeg1Lift)
@[simp] theorem coe_toOrderHom : ⇑f.toOrderHom = f := rfl
protected theorem monotone : Monotone f := f.monotone'
#align circle_deg1_lift.monotone CircleDeg1Lift.monotone
@[mono] theorem mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h
#align circle_deg1_lift.mono CircleDeg1Lift.mono
theorem strictMono_iff_injective : StrictMono f ↔ Injective f :=
f.monotone.strictMono_iff_injective
#align circle_deg1_lift.strict_mono_iff_injective CircleDeg1Lift.strictMono_iff_injective
@[simp]
theorem map_add_one : ∀ x, f (x + 1) = f x + 1 :=
f.map_add_one'
#align circle_deg1_lift.map_add_one CircleDeg1Lift.map_add_one
@[simp]
theorem map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm 1]
#align circle_deg1_lift.map_one_add CircleDeg1Lift.map_one_add
#noalign circle_deg1_lift.coe_inj -- Use `DFunLike.coe_inj`
@[ext]
theorem ext ⦃f g : CircleDeg1Lift⦄ (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
#align circle_deg1_lift.ext CircleDeg1Lift.ext
theorem ext_iff {f g : CircleDeg1Lift} : f = g ↔ ∀ x, f x = g x :=
DFunLike.ext_iff
#align circle_deg1_lift.ext_iff CircleDeg1Lift.ext_iff
instance : Monoid CircleDeg1Lift where
mul f g :=
{ toOrderHom := f.1.comp g.1
map_add_one' := fun x => by simp [map_add_one] }
one := ⟨.id, fun _ => rfl⟩
mul_one f := rfl
one_mul f := rfl
mul_assoc f₁ f₂ f₃ := DFunLike.coe_injective rfl
instance : Inhabited CircleDeg1Lift := ⟨1⟩
@[simp]
theorem coe_mul : ⇑(f * g) = f ∘ g :=
rfl
#align circle_deg1_lift.coe_mul CircleDeg1Lift.coe_mul
theorem mul_apply (x) : (f * g) x = f (g x) :=
rfl
#align circle_deg1_lift.mul_apply CircleDeg1Lift.mul_apply
@[simp]
theorem coe_one : ⇑(1 : CircleDeg1Lift) = id :=
rfl
#align circle_deg1_lift.coe_one CircleDeg1Lift.coe_one
instance unitsHasCoeToFun : CoeFun CircleDeg1Liftˣ fun _ => ℝ → ℝ :=
⟨fun f => ⇑(f : CircleDeg1Lift)⟩
#align circle_deg1_lift.units_has_coe_to_fun CircleDeg1Lift.unitsHasCoeToFun
#noalign circle_deg1_lift.units_coe -- now LHS = RHS
@[simp]
theorem units_inv_apply_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
(f⁻¹ : CircleDeg1Liftˣ) (f x) = x := by simp only [← mul_apply, f.inv_mul, coe_one, id]
#align circle_deg1_lift.units_inv_apply_apply CircleDeg1Lift.units_inv_apply_apply
@[simp]
theorem units_apply_inv_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
f ((f⁻¹ : CircleDeg1Liftˣ) x) = x := by simp only [← mul_apply, f.mul_inv, coe_one, id]
#align circle_deg1_lift.units_apply_inv_apply CircleDeg1Lift.units_apply_inv_apply
def toOrderIso : CircleDeg1Liftˣ →* ℝ ≃o ℝ where
toFun f :=
{ toFun := f
invFun := ⇑f⁻¹
left_inv := units_inv_apply_apply f
right_inv := units_apply_inv_apply f
map_rel_iff' := ⟨fun h => by simpa using mono (↑f⁻¹) h, mono f⟩ }
map_one' := rfl
map_mul' f g := rfl
#align circle_deg1_lift.to_order_iso CircleDeg1Lift.toOrderIso
@[simp]
theorem coe_toOrderIso (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f) = f :=
rfl
#align circle_deg1_lift.coe_to_order_iso CircleDeg1Lift.coe_toOrderIso
@[simp]
theorem coe_toOrderIso_symm (f : CircleDeg1Liftˣ) :
⇑(toOrderIso f).symm = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
#align circle_deg1_lift.coe_to_order_iso_symm CircleDeg1Lift.coe_toOrderIso_symm
@[simp]
theorem coe_toOrderIso_inv (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f)⁻¹ = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
#align circle_deg1_lift.coe_to_order_iso_inv CircleDeg1Lift.coe_toOrderIso_inv
theorem isUnit_iff_bijective {f : CircleDeg1Lift} : IsUnit f ↔ Bijective f :=
⟨fun ⟨u, h⟩ => h ▸ (toOrderIso u).bijective, fun h =>
Units.isUnit
{ val := f
inv :=
{ toFun := (Equiv.ofBijective f h).symm
monotone' := fun x y hxy =>
(f.strictMono_iff_injective.2 h.1).le_iff_le.1
(by simp only [Equiv.ofBijective_apply_symm_apply f h, hxy])
map_add_one' := fun x =>
h.1 <| by simp only [Equiv.ofBijective_apply_symm_apply f, f.map_add_one] }
val_inv := ext <| Equiv.ofBijective_apply_symm_apply f h
inv_val := ext <| Equiv.ofBijective_symm_apply_apply f h }⟩
#align circle_deg1_lift.is_unit_iff_bijective CircleDeg1Lift.isUnit_iff_bijective
theorem coe_pow : ∀ n : ℕ, ⇑(f ^ n) = f^[n]
| 0 => rfl
| n + 1 => by
ext x
simp [coe_pow n, pow_succ]
#align circle_deg1_lift.coe_pow CircleDeg1Lift.coe_pow
theorem semiconjBy_iff_semiconj {f g₁ g₂ : CircleDeg1Lift} :
SemiconjBy f g₁ g₂ ↔ Semiconj f g₁ g₂ :=
ext_iff
#align circle_deg1_lift.semiconj_by_iff_semiconj CircleDeg1Lift.semiconjBy_iff_semiconj
theorem commute_iff_commute {f g : CircleDeg1Lift} : Commute f g ↔ Function.Commute f g :=
ext_iff
#align circle_deg1_lift.commute_iff_commute CircleDeg1Lift.commute_iff_commute
def translate : Multiplicative ℝ →* CircleDeg1Liftˣ := MonoidHom.toHomUnits <|
{ toFun := fun x =>
⟨⟨fun y => Multiplicative.toAdd x + y, fun _ _ h => add_le_add_left h _⟩, fun _ =>
(add_assoc _ _ _).symm⟩
map_one' := ext <| zero_add
map_mul' := fun _ _ => ext <| add_assoc _ _ }
#align circle_deg1_lift.translate CircleDeg1Lift.translate
@[simp]
theorem translate_apply (x y : ℝ) : translate (Multiplicative.ofAdd x) y = x + y :=
rfl
#align circle_deg1_lift.translate_apply CircleDeg1Lift.translate_apply
@[simp]
theorem translate_inv_apply (x y : ℝ) : (translate <| Multiplicative.ofAdd x)⁻¹ y = -x + y :=
rfl
#align circle_deg1_lift.translate_inv_apply CircleDeg1Lift.translate_inv_apply
@[simp]
theorem translate_zpow (x : ℝ) (n : ℤ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) := by
simp only [← zsmul_eq_mul, ofAdd_zsmul, MonoidHom.map_zpow]
#align circle_deg1_lift.translate_zpow CircleDeg1Lift.translate_zpow
@[simp]
theorem translate_pow (x : ℝ) (n : ℕ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) :=
translate_zpow x n
#align circle_deg1_lift.translate_pow CircleDeg1Lift.translate_pow
@[simp]
theorem translate_iterate (x : ℝ) (n : ℕ) :
(translate (Multiplicative.ofAdd x))^[n] = translate (Multiplicative.ofAdd <| ↑n * x) := by
rw [← coe_pow, ← Units.val_pow_eq_pow_val, translate_pow]
#align circle_deg1_lift.translate_iterate CircleDeg1Lift.translate_iterate
theorem commute_nat_add (n : ℕ) : Function.Commute f (n + ·) := by
simpa only [nsmul_one, add_left_iterate] using Function.Commute.iterate_right f.map_one_add n
#align circle_deg1_lift.commute_nat_add CircleDeg1Lift.commute_nat_add
theorem commute_add_nat (n : ℕ) : Function.Commute f (· + n) := by
simp only [add_comm _ (n : ℝ), f.commute_nat_add n]
#align circle_deg1_lift.commute_add_nat CircleDeg1Lift.commute_add_nat
theorem commute_sub_nat (n : ℕ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_nat n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
#align circle_deg1_lift.commute_sub_nat CircleDeg1Lift.commute_sub_nat
theorem commute_add_int : ∀ n : ℤ, Function.Commute f (· + n)
| (n : ℕ) => f.commute_add_nat n
| -[n+1] => by simpa [sub_eq_add_neg] using f.commute_sub_nat (n + 1)
#align circle_deg1_lift.commute_add_int CircleDeg1Lift.commute_add_int
theorem commute_int_add (n : ℤ) : Function.Commute f (n + ·) := by
simpa only [add_comm _ (n : ℝ)] using f.commute_add_int n
#align circle_deg1_lift.commute_int_add CircleDeg1Lift.commute_int_add
theorem commute_sub_int (n : ℤ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_int n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
#align circle_deg1_lift.commute_sub_int CircleDeg1Lift.commute_sub_int
@[simp]
theorem map_int_add (m : ℤ) (x : ℝ) : f (m + x) = m + f x :=
f.commute_int_add m x
#align circle_deg1_lift.map_int_add CircleDeg1Lift.map_int_add
@[simp]
theorem map_add_int (x : ℝ) (m : ℤ) : f (x + m) = f x + m :=
f.commute_add_int m x
#align circle_deg1_lift.map_add_int CircleDeg1Lift.map_add_int
@[simp]
theorem map_sub_int (x : ℝ) (n : ℤ) : f (x - n) = f x - n :=
f.commute_sub_int n x
#align circle_deg1_lift.map_sub_int CircleDeg1Lift.map_sub_int
@[simp]
theorem map_add_nat (x : ℝ) (n : ℕ) : f (x + n) = f x + n :=
f.map_add_int x n
#align circle_deg1_lift.map_add_nat CircleDeg1Lift.map_add_nat
@[simp]
theorem map_nat_add (n : ℕ) (x : ℝ) : f (n + x) = n + f x :=
f.map_int_add n x
#align circle_deg1_lift.map_nat_add CircleDeg1Lift.map_nat_add
@[simp]
theorem map_sub_nat (x : ℝ) (n : ℕ) : f (x - n) = f x - n :=
f.map_sub_int x n
#align circle_deg1_lift.map_sub_nat CircleDeg1Lift.map_sub_nat
theorem map_int_of_map_zero (n : ℤ) : f n = f 0 + n := by rw [← f.map_add_int, zero_add]
#align circle_deg1_lift.map_int_of_map_zero CircleDeg1Lift.map_int_of_map_zero
@[simp]
theorem map_fract_sub_fract_eq (x : ℝ) : f (fract x) - fract x = f x - x := by
rw [Int.fract, f.map_sub_int, sub_sub_sub_cancel_right]
#align circle_deg1_lift.map_fract_sub_fract_eq CircleDeg1Lift.map_fract_sub_fract_eq
noncomputable instance : Lattice CircleDeg1Lift where
sup f g :=
{ toFun := fun x => max (f x) (g x)
monotone' := fun x y h => max_le_max (f.mono h) (g.mono h)
-- TODO: generalize to `Monotone.max`
map_add_one' := fun x => by simp [max_add_add_right] }
le f g := ∀ x, f x ≤ g x
le_refl f x := le_refl (f x)
le_trans f₁ f₂ f₃ h₁₂ h₂₃ x := le_trans (h₁₂ x) (h₂₃ x)
le_antisymm f₁ f₂ h₁₂ h₂₁ := ext fun x => le_antisymm (h₁₂ x) (h₂₁ x)
le_sup_left f g x := le_max_left (f x) (g x)
le_sup_right f g x := le_max_right (f x) (g x)
sup_le f₁ f₂ f₃ h₁ h₂ x := max_le (h₁ x) (h₂ x)
inf f g :=
{ toFun := fun x => min (f x) (g x)
monotone' := fun x y h => min_le_min (f.mono h) (g.mono h)
map_add_one' := fun x => by simp [min_add_add_right] }
inf_le_left f g x := min_le_left (f x) (g x)
inf_le_right f g x := min_le_right (f x) (g x)
le_inf f₁ f₂ f₃ h₂ h₃ x := le_min (h₂ x) (h₃ x)
@[simp]
theorem sup_apply (x : ℝ) : (f ⊔ g) x = max (f x) (g x) :=
rfl
#align circle_deg1_lift.sup_apply CircleDeg1Lift.sup_apply
@[simp]
theorem inf_apply (x : ℝ) : (f ⊓ g) x = min (f x) (g x) :=
rfl
#align circle_deg1_lift.inf_apply CircleDeg1Lift.inf_apply
theorem iterate_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f^[n] := fun f _ h =>
f.monotone.iterate_le_of_le h _
#align circle_deg1_lift.iterate_monotone CircleDeg1Lift.iterate_monotone
theorem iterate_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f^[n] ≤ g^[n] :=
iterate_monotone n h
#align circle_deg1_lift.iterate_mono CircleDeg1Lift.iterate_mono
theorem pow_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f ^ n ≤ g ^ n := fun x => by
simp only [coe_pow, iterate_mono h n x]
#align circle_deg1_lift.pow_mono CircleDeg1Lift.pow_mono
theorem pow_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f ^ n := fun _ _ h => pow_mono h n
#align circle_deg1_lift.pow_monotone CircleDeg1Lift.pow_monotone
theorem map_le_of_map_zero (x : ℝ) : f x ≤ f 0 + ⌈x⌉ :=
calc
f x ≤ f ⌈x⌉ := f.monotone <| le_ceil _
_ = f 0 + ⌈x⌉ := f.map_int_of_map_zero _
#align circle_deg1_lift.map_le_of_map_zero CircleDeg1Lift.map_le_of_map_zero
theorem map_map_zero_le : f (g 0) ≤ f 0 + ⌈g 0⌉ :=
f.map_le_of_map_zero (g 0)
#align circle_deg1_lift.map_map_zero_le CircleDeg1Lift.map_map_zero_le
theorem floor_map_map_zero_le : ⌊f (g 0)⌋ ≤ ⌊f 0⌋ + ⌈g 0⌉ :=
calc
⌊f (g 0)⌋ ≤ ⌊f 0 + ⌈g 0⌉⌋ := floor_mono <| f.map_map_zero_le g
_ = ⌊f 0⌋ + ⌈g 0⌉ := floor_add_int _ _
#align circle_deg1_lift.floor_map_map_zero_le CircleDeg1Lift.floor_map_map_zero_le
theorem ceil_map_map_zero_le : ⌈f (g 0)⌉ ≤ ⌈f 0⌉ + ⌈g 0⌉ :=
calc
⌈f (g 0)⌉ ≤ ⌈f 0 + ⌈g 0⌉⌉ := ceil_mono <| f.map_map_zero_le g
_ = ⌈f 0⌉ + ⌈g 0⌉ := ceil_add_int _ _
#align circle_deg1_lift.ceil_map_map_zero_le CircleDeg1Lift.ceil_map_map_zero_le
theorem map_map_zero_lt : f (g 0) < f 0 + g 0 + 1 :=
calc
f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_map_zero_le g
_ < f 0 + (g 0 + 1) := add_lt_add_left (ceil_lt_add_one _) _
_ = f 0 + g 0 + 1 := (add_assoc _ _ _).symm
#align circle_deg1_lift.map_map_zero_lt CircleDeg1Lift.map_map_zero_lt
theorem le_map_of_map_zero (x : ℝ) : f 0 + ⌊x⌋ ≤ f x :=
calc
f 0 + ⌊x⌋ = f ⌊x⌋ := (f.map_int_of_map_zero _).symm
_ ≤ f x := f.monotone <| floor_le _
#align circle_deg1_lift.le_map_of_map_zero CircleDeg1Lift.le_map_of_map_zero
theorem le_map_map_zero : f 0 + ⌊g 0⌋ ≤ f (g 0) :=
f.le_map_of_map_zero (g 0)
#align circle_deg1_lift.le_map_map_zero CircleDeg1Lift.le_map_map_zero
theorem le_floor_map_map_zero : ⌊f 0⌋ + ⌊g 0⌋ ≤ ⌊f (g 0)⌋ :=
calc
⌊f 0⌋ + ⌊g 0⌋ = ⌊f 0 + ⌊g 0⌋⌋ := (floor_add_int _ _).symm
_ ≤ ⌊f (g 0)⌋ := floor_mono <| f.le_map_map_zero g
#align circle_deg1_lift.le_floor_map_map_zero CircleDeg1Lift.le_floor_map_map_zero
theorem le_ceil_map_map_zero : ⌈f 0⌉ + ⌊g 0⌋ ≤ ⌈(f * g) 0⌉ :=
calc
⌈f 0⌉ + ⌊g 0⌋ = ⌈f 0 + ⌊g 0⌋⌉ := (ceil_add_int _ _).symm
_ ≤ ⌈f (g 0)⌉ := ceil_mono <| f.le_map_map_zero g
#align circle_deg1_lift.le_ceil_map_map_zero CircleDeg1Lift.le_ceil_map_map_zero
theorem lt_map_map_zero : f 0 + g 0 - 1 < f (g 0) :=
calc
f 0 + g 0 - 1 = f 0 + (g 0 - 1) := add_sub_assoc _ _ _
_ < f 0 + ⌊g 0⌋ := add_lt_add_left (sub_one_lt_floor _) _
_ ≤ f (g 0) := f.le_map_map_zero g
#align circle_deg1_lift.lt_map_map_zero CircleDeg1Lift.lt_map_map_zero
theorem dist_map_map_zero_lt : dist (f 0 + g 0) (f (g 0)) < 1 := by
rw [dist_comm, Real.dist_eq, abs_lt, lt_sub_iff_add_lt', sub_lt_iff_lt_add', ← sub_eq_add_neg]
exact ⟨f.lt_map_map_zero g, f.map_map_zero_lt g⟩
#align circle_deg1_lift.dist_map_map_zero_lt CircleDeg1Lift.dist_map_map_zero_lt
theorem dist_map_zero_lt_of_semiconj {f g₁ g₂ : CircleDeg1Lift} (h : Function.Semiconj f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
calc
dist (g₁ 0) (g₂ 0) ≤ dist (g₁ 0) (f (g₁ 0) - f 0) + dist _ (g₂ 0) := dist_triangle _ _ _
_ = dist (f 0 + g₁ 0) (f (g₁ 0)) + dist (g₂ 0 + f 0) (g₂ (f 0)) := by
simp only [h.eq, Real.dist_eq, sub_sub, add_comm (f 0), sub_sub_eq_add_sub,
abs_sub_comm (g₂ (f 0))]
_ < 1 + 1 := add_lt_add (f.dist_map_map_zero_lt g₁) (g₂.dist_map_map_zero_lt f)
_ = 2 := one_add_one_eq_two
#align circle_deg1_lift.dist_map_zero_lt_of_semiconj CircleDeg1Lift.dist_map_zero_lt_of_semiconj
theorem dist_map_zero_lt_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (h : SemiconjBy f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
dist_map_zero_lt_of_semiconj <| semiconjBy_iff_semiconj.1 h
#align circle_deg1_lift.dist_map_zero_lt_of_semiconj_by CircleDeg1Lift.dist_map_zero_lt_of_semiconjBy
protected theorem tendsto_atBot : Tendsto f atBot atBot :=
tendsto_atBot_mono f.map_le_of_map_zero <| tendsto_atBot_add_const_left _ _ <|
(tendsto_atBot_mono fun x => (ceil_lt_add_one x).le) <|
tendsto_atBot_add_const_right _ _ tendsto_id
#align circle_deg1_lift.tendsto_at_bot CircleDeg1Lift.tendsto_atBot
protected theorem tendsto_atTop : Tendsto f atTop atTop :=
tendsto_atTop_mono f.le_map_of_map_zero <| tendsto_atTop_add_const_left _ _ <|
(tendsto_atTop_mono fun x => (sub_one_lt_floor x).le) <| by
simpa [sub_eq_add_neg] using tendsto_atTop_add_const_right _ _ tendsto_id
#align circle_deg1_lift.tendsto_at_top CircleDeg1Lift.tendsto_atTop
theorem continuous_iff_surjective : Continuous f ↔ Function.Surjective f :=
⟨fun h => h.surjective f.tendsto_atTop f.tendsto_atBot, f.monotone.continuous_of_surjective⟩
#align circle_deg1_lift.continuous_iff_surjective CircleDeg1Lift.continuous_iff_surjective
theorem iterate_le_of_map_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) (n : ℕ) :
f^[n] x ≤ x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_le_of_map_le f.monotone (monotone_id.add_const (m : ℝ)) h n
#align circle_deg1_lift.iterate_le_of_map_le_add_int CircleDeg1Lift.iterate_le_of_map_le_add_int
theorem le_iterate_of_add_int_le_map {x : ℝ} {m : ℤ} (h : x + m ≤ f x) (n : ℕ) :
x + n * m ≤ f^[n] x := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).symm.iterate_le_of_map_le (monotone_id.add_const (m : ℝ)) f.monotone h n
#align circle_deg1_lift.le_iterate_of_add_int_le_map CircleDeg1Lift.le_iterate_of_add_int_le_map
theorem iterate_eq_of_map_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) (n : ℕ) :
f^[n] x = x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_eq_of_map_eq n h
#align circle_deg1_lift.iterate_eq_of_map_eq_add_int CircleDeg1Lift.iterate_eq_of_map_eq_add_int
theorem iterate_pos_le_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x ≤ x + n * m ↔ f x ≤ x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_le_iff_map_le f.monotone (strictMono_id.add_const (m : ℝ)) hn
#align circle_deg1_lift.iterate_pos_le_iff CircleDeg1Lift.iterate_pos_le_iff
theorem iterate_pos_lt_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x < x + n * m ↔ f x < x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_lt_iff_map_lt f.monotone (strictMono_id.add_const (m : ℝ)) hn
#align circle_deg1_lift.iterate_pos_lt_iff CircleDeg1Lift.iterate_pos_lt_iff
theorem iterate_pos_eq_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x = x + n * m ↔ f x = x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_eq_iff_map_eq f.monotone (strictMono_id.add_const (m : ℝ)) hn
#align circle_deg1_lift.iterate_pos_eq_iff CircleDeg1Lift.iterate_pos_eq_iff
theorem le_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m ≤ f^[n] x ↔ x + m ≤ f x := by
simpa only [not_lt] using not_congr (f.iterate_pos_lt_iff hn)
#align circle_deg1_lift.le_iterate_pos_iff CircleDeg1Lift.le_iterate_pos_iff
theorem lt_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m < f^[n] x ↔ x + m < f x := by
simpa only [not_le] using not_congr (f.iterate_pos_le_iff hn)
#align circle_deg1_lift.lt_iterate_pos_iff CircleDeg1Lift.lt_iterate_pos_iff
theorem mul_floor_map_zero_le_floor_iterate_zero (n : ℕ) : ↑n * ⌊f 0⌋ ≤ ⌊f^[n] 0⌋ := by
rw [le_floor, Int.cast_mul, Int.cast_natCast, ← zero_add ((n : ℝ) * _)]
apply le_iterate_of_add_int_le_map
simp [floor_le]
#align circle_deg1_lift.mul_floor_map_zero_le_floor_iterate_zero CircleDeg1Lift.mul_floor_map_zero_le_floor_iterate_zero
noncomputable section
def transnumAuxSeq (n : ℕ) : ℝ :=
(f ^ (2 ^ n : ℕ)) 0 / 2 ^ n
#align circle_deg1_lift.transnum_aux_seq CircleDeg1Lift.transnumAuxSeq
def translationNumber : ℝ :=
limUnder atTop f.transnumAuxSeq
#align circle_deg1_lift.translation_number CircleDeg1Lift.translationNumber
end
-- TODO: choose two different symbols for `CircleDeg1Lift.translationNumber` and the future
-- `circle_mono_homeo.rotation_number`, then make them `localized notation`s
local notation "τ" => translationNumber
theorem transnumAuxSeq_def : f.transnumAuxSeq = fun n : ℕ => (f ^ (2 ^ n : ℕ)) 0 / 2 ^ n :=
rfl
#align circle_deg1_lift.transnum_aux_seq_def CircleDeg1Lift.transnumAuxSeq_def
theorem translationNumber_eq_of_tendsto_aux {τ' : ℝ} (h : Tendsto f.transnumAuxSeq atTop (𝓝 τ')) :
τ f = τ' :=
h.limUnder_eq
#align circle_deg1_lift.translation_number_eq_of_tendsto_aux CircleDeg1Lift.translationNumber_eq_of_tendsto_aux
theorem translationNumber_eq_of_tendsto₀ {τ' : ℝ}
(h : Tendsto (fun n : ℕ => f^[n] 0 / n) atTop (𝓝 τ')) : τ f = τ' :=
f.translationNumber_eq_of_tendsto_aux <| by
simpa [(· ∘ ·), transnumAuxSeq_def, coe_pow] using
h.comp (Nat.tendsto_pow_atTop_atTop_of_one_lt one_lt_two)
#align circle_deg1_lift.translation_number_eq_of_tendsto₀ CircleDeg1Lift.translationNumber_eq_of_tendsto₀
theorem translationNumber_eq_of_tendsto₀' {τ' : ℝ}
(h : Tendsto (fun n : ℕ => f^[n + 1] 0 / (n + 1)) atTop (𝓝 τ')) : τ f = τ' :=
f.translationNumber_eq_of_tendsto₀ <| (tendsto_add_atTop_iff_nat 1).1 (mod_cast h)
#align circle_deg1_lift.translation_number_eq_of_tendsto₀' CircleDeg1Lift.translationNumber_eq_of_tendsto₀'
theorem transnumAuxSeq_zero : f.transnumAuxSeq 0 = f 0 := by simp [transnumAuxSeq]
#align circle_deg1_lift.transnum_aux_seq_zero CircleDeg1Lift.transnumAuxSeq_zero
theorem transnumAuxSeq_dist_lt (n : ℕ) :
dist (f.transnumAuxSeq n) (f.transnumAuxSeq (n + 1)) < 1 / 2 / 2 ^ n := by
have : 0 < (2 ^ (n + 1) : ℝ) := pow_pos zero_lt_two _
rw [div_div, ← pow_succ', ← abs_of_pos this]
replace := abs_pos.2 (ne_of_gt this)
convert (div_lt_div_right this).2 ((f ^ 2 ^ n).dist_map_map_zero_lt (f ^ 2 ^ n)) using 1
simp_rw [transnumAuxSeq, Real.dist_eq]
rw [← abs_div, sub_div, pow_succ, pow_succ', ← two_mul, mul_div_mul_left _ _ (two_ne_zero' ℝ),
pow_mul, sq, mul_apply]
#align circle_deg1_lift.transnum_aux_seq_dist_lt CircleDeg1Lift.transnumAuxSeq_dist_lt
theorem tendsto_translationNumber_aux : Tendsto f.transnumAuxSeq atTop (𝓝 <| τ f) :=
(cauchySeq_of_le_geometric_two 1 fun n => le_of_lt <| f.transnumAuxSeq_dist_lt n).tendsto_limUnder
#align circle_deg1_lift.tendsto_translation_number_aux CircleDeg1Lift.tendsto_translationNumber_aux
theorem dist_map_zero_translationNumber_le : dist (f 0) (τ f) ≤ 1 :=
f.transnumAuxSeq_zero ▸
dist_le_of_le_geometric_two_of_tendsto₀ 1 (fun n => le_of_lt <| f.transnumAuxSeq_dist_lt n)
f.tendsto_translationNumber_aux
#align circle_deg1_lift.dist_map_zero_translation_number_le CircleDeg1Lift.dist_map_zero_translationNumber_le
theorem tendsto_translationNumber_of_dist_bounded_aux (x : ℕ → ℝ) (C : ℝ)
(H : ∀ n : ℕ, dist ((f ^ n) 0) (x n) ≤ C) :
Tendsto (fun n : ℕ => x (2 ^ n) / 2 ^ n) atTop (𝓝 <| τ f) := by
apply f.tendsto_translationNumber_aux.congr_dist (squeeze_zero (fun _ => dist_nonneg) _ _)
· exact fun n => C / 2 ^ n
· intro n
have : 0 < (2 ^ n : ℝ) := pow_pos zero_lt_two _
convert (div_le_div_right this).2 (H (2 ^ n)) using 1
rw [transnumAuxSeq, Real.dist_eq, ← sub_div, abs_div, abs_of_pos this, Real.dist_eq]
· exact mul_zero C ▸ tendsto_const_nhds.mul <| tendsto_inv_atTop_zero.comp <|
tendsto_pow_atTop_atTop_of_one_lt one_lt_two
#align circle_deg1_lift.tendsto_translation_number_of_dist_bounded_aux CircleDeg1Lift.tendsto_translationNumber_of_dist_bounded_aux
theorem translationNumber_eq_of_dist_bounded {f g : CircleDeg1Lift} (C : ℝ)
(H : ∀ n : ℕ, dist ((f ^ n) 0) ((g ^ n) 0) ≤ C) : τ f = τ g :=
Eq.symm <| g.translationNumber_eq_of_tendsto_aux <|
f.tendsto_translationNumber_of_dist_bounded_aux _ C H
#align circle_deg1_lift.translation_number_eq_of_dist_bounded CircleDeg1Lift.translationNumber_eq_of_dist_bounded
@[simp]
theorem translationNumber_one : τ 1 = 0 :=
translationNumber_eq_of_tendsto₀ _ <| by simp [tendsto_const_nhds]
#align circle_deg1_lift.translation_number_one CircleDeg1Lift.translationNumber_one
theorem translationNumber_eq_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (H : SemiconjBy f g₁ g₂) :
τ g₁ = τ g₂ :=
translationNumber_eq_of_dist_bounded 2 fun n =>
le_of_lt <| dist_map_zero_lt_of_semiconjBy <| H.pow_right n
#align circle_deg1_lift.translation_number_eq_of_semiconj_by CircleDeg1Lift.translationNumber_eq_of_semiconjBy
theorem translationNumber_eq_of_semiconj {f g₁ g₂ : CircleDeg1Lift}
(H : Function.Semiconj f g₁ g₂) : τ g₁ = τ g₂ :=
translationNumber_eq_of_semiconjBy <| semiconjBy_iff_semiconj.2 H
#align circle_deg1_lift.translation_number_eq_of_semiconj CircleDeg1Lift.translationNumber_eq_of_semiconj
theorem translationNumber_mul_of_commute {f g : CircleDeg1Lift} (h : Commute f g) :
τ (f * g) = τ f + τ g := by
refine tendsto_nhds_unique ?_
(f.tendsto_translationNumber_aux.add g.tendsto_translationNumber_aux)
simp only [transnumAuxSeq, ← add_div]
refine (f * g).tendsto_translationNumber_of_dist_bounded_aux
(fun n ↦ (f ^ n) 0 + (g ^ n) 0) 1 fun n ↦ ?_
rw [h.mul_pow, dist_comm]
exact le_of_lt ((f ^ n).dist_map_map_zero_lt (g ^ n))
#align circle_deg1_lift.translation_number_mul_of_commute CircleDeg1Lift.translationNumber_mul_of_commute
@[simp]
theorem translationNumber_units_inv (f : CircleDeg1Liftˣ) : τ ↑f⁻¹ = -τ f :=
eq_neg_iff_add_eq_zero.2 <| by
simp [← translationNumber_mul_of_commute (Commute.refl _).units_inv_left]
#align circle_deg1_lift.translation_number_units_inv CircleDeg1Lift.translationNumber_units_inv
@[simp]
theorem translationNumber_pow : ∀ n : ℕ, τ (f ^ n) = n * τ f
| 0 => by simp
| n + 1 => by
rw [pow_succ, translationNumber_mul_of_commute (Commute.pow_self f n),
translationNumber_pow n, Nat.cast_add_one, add_mul, one_mul]
#align circle_deg1_lift.translation_number_pow CircleDeg1Lift.translationNumber_pow
@[simp]
theorem translationNumber_zpow (f : CircleDeg1Liftˣ) : ∀ n : ℤ, τ (f ^ n : Units _) = n * τ f
| (n : ℕ) => by simp [translationNumber_pow f n]
| -[n+1] => by simp; ring
#align circle_deg1_lift.translation_number_zpow CircleDeg1Lift.translationNumber_zpow
@[simp]
theorem translationNumber_conj_eq (f : CircleDeg1Liftˣ) (g : CircleDeg1Lift) :
τ (↑f * g * ↑f⁻¹) = τ g :=
(translationNumber_eq_of_semiconjBy (f.mk_semiconjBy g)).symm
#align circle_deg1_lift.translation_number_conj_eq CircleDeg1Lift.translationNumber_conj_eq
@[simp]
theorem translationNumber_conj_eq' (f : CircleDeg1Liftˣ) (g : CircleDeg1Lift) :
τ (↑f⁻¹ * g * f) = τ g :=
translationNumber_conj_eq f⁻¹ g
#align circle_deg1_lift.translation_number_conj_eq' CircleDeg1Lift.translationNumber_conj_eq'
theorem dist_pow_map_zero_mul_translationNumber_le (n : ℕ) :
dist ((f ^ n) 0) (n * f.translationNumber) ≤ 1 :=
f.translationNumber_pow n ▸ (f ^ n).dist_map_zero_translationNumber_le
#align circle_deg1_lift.dist_pow_map_zero_mul_translation_number_le CircleDeg1Lift.dist_pow_map_zero_mul_translationNumber_le
theorem tendsto_translation_number₀' :
Tendsto (fun n : ℕ => (f ^ (n + 1) : CircleDeg1Lift) 0 / ((n : ℝ) + 1)) atTop (𝓝 <| τ f) := by
refine
tendsto_iff_dist_tendsto_zero.2 <|
squeeze_zero (fun _ => dist_nonneg) (fun n => ?_)
((tendsto_const_div_atTop_nhds_zero_nat 1).comp (tendsto_add_atTop_nat 1))
dsimp
have : (0 : ℝ) < n + 1 := n.cast_add_one_pos
rw [Real.dist_eq, div_sub' _ _ _ (ne_of_gt this), abs_div, ← Real.dist_eq, abs_of_pos this,
Nat.cast_add_one, div_le_div_right this, ← Nat.cast_add_one]
apply dist_pow_map_zero_mul_translationNumber_le
#align circle_deg1_lift.tendsto_translation_number₀' CircleDeg1Lift.tendsto_translation_number₀'
theorem tendsto_translation_number₀ : Tendsto (fun n : ℕ => (f ^ n) 0 / n) atTop (𝓝 <| τ f) :=
(tendsto_add_atTop_iff_nat 1).1 (mod_cast f.tendsto_translation_number₀')
#align circle_deg1_lift.tendsto_translation_number₀ CircleDeg1Lift.tendsto_translation_number₀
theorem tendsto_translationNumber (x : ℝ) :
Tendsto (fun n : ℕ => ((f ^ n) x - x) / n) atTop (𝓝 <| τ f) := by
rw [← translationNumber_conj_eq' (translate <| Multiplicative.ofAdd x)]
refine (tendsto_translation_number₀ _).congr fun n ↦ ?_
simp [sub_eq_neg_add, Units.conj_pow']
#align circle_deg1_lift.tendsto_translation_number CircleDeg1Lift.tendsto_translationNumber
theorem tendsto_translation_number' (x : ℝ) :
Tendsto (fun n : ℕ => ((f ^ (n + 1) : CircleDeg1Lift) x - x) / (n + 1)) atTop (𝓝 <| τ f) :=
mod_cast (tendsto_add_atTop_iff_nat 1).2 (f.tendsto_translationNumber x)
#align circle_deg1_lift.tendsto_translation_number' CircleDeg1Lift.tendsto_translation_number'
theorem translationNumber_mono : Monotone τ := fun f g h =>
le_of_tendsto_of_tendsto' f.tendsto_translation_number₀ g.tendsto_translation_number₀ fun n => by
gcongr; exact pow_mono h _ _
#align circle_deg1_lift.translation_number_mono CircleDeg1Lift.translationNumber_mono
theorem translationNumber_translate (x : ℝ) : τ (translate <| Multiplicative.ofAdd x) = x :=
translationNumber_eq_of_tendsto₀' _ <| by
simp only [translate_iterate, translate_apply, add_zero, Nat.cast_succ,
mul_div_cancel_left₀ (M₀ := ℝ) _ (Nat.cast_add_one_ne_zero _), tendsto_const_nhds]
#align circle_deg1_lift.translation_number_translate CircleDeg1Lift.translationNumber_translate
theorem translationNumber_le_of_le_add {z : ℝ} (hz : ∀ x, f x ≤ x + z) : τ f ≤ z :=
translationNumber_translate z ▸ translationNumber_mono fun x => (hz x).trans_eq (add_comm _ _)
#align circle_deg1_lift.translation_number_le_of_le_add CircleDeg1Lift.translationNumber_le_of_le_add
theorem le_translationNumber_of_add_le {z : ℝ} (hz : ∀ x, x + z ≤ f x) : z ≤ τ f :=
translationNumber_translate z ▸ translationNumber_mono fun x => (add_comm _ _).trans_le (hz x)
#align circle_deg1_lift.le_translation_number_of_add_le CircleDeg1Lift.le_translationNumber_of_add_le
theorem translationNumber_le_of_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) : τ f ≤ m :=
le_of_tendsto' (f.tendsto_translation_number' x) fun n =>
(div_le_iff' (n.cast_add_one_pos : (0 : ℝ) < _)).mpr <| sub_le_iff_le_add'.2 <|
(coe_pow f (n + 1)).symm ▸ @Nat.cast_add_one ℝ _ n ▸ f.iterate_le_of_map_le_add_int h (n + 1)
#align circle_deg1_lift.translation_number_le_of_le_add_int CircleDeg1Lift.translationNumber_le_of_le_add_int
theorem translationNumber_le_of_le_add_nat {x : ℝ} {m : ℕ} (h : f x ≤ x + m) : τ f ≤ m :=
@translationNumber_le_of_le_add_int f x m h
#align circle_deg1_lift.translation_number_le_of_le_add_nat CircleDeg1Lift.translationNumber_le_of_le_add_nat
theorem le_translationNumber_of_add_int_le {x : ℝ} {m : ℤ} (h : x + m ≤ f x) : ↑m ≤ τ f :=
ge_of_tendsto' (f.tendsto_translation_number' x) fun n =>
(le_div_iff (n.cast_add_one_pos : (0 : ℝ) < _)).mpr <| le_sub_iff_add_le'.2 <| by
simp only [coe_pow, mul_comm (m : ℝ), ← Nat.cast_add_one, f.le_iterate_of_add_int_le_map h]
#align circle_deg1_lift.le_translation_number_of_add_int_le CircleDeg1Lift.le_translationNumber_of_add_int_le
theorem le_translationNumber_of_add_nat_le {x : ℝ} {m : ℕ} (h : x + m ≤ f x) : ↑m ≤ τ f :=
@le_translationNumber_of_add_int_le f x m h
#align circle_deg1_lift.le_translation_number_of_add_nat_le CircleDeg1Lift.le_translationNumber_of_add_nat_le
theorem translationNumber_of_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) : τ f = m :=
le_antisymm (translationNumber_le_of_le_add_int f <| le_of_eq h)
(le_translationNumber_of_add_int_le f <| le_of_eq h.symm)
#align circle_deg1_lift.translation_number_of_eq_add_int CircleDeg1Lift.translationNumber_of_eq_add_int
theorem floor_sub_le_translationNumber (x : ℝ) : ↑⌊f x - x⌋ ≤ τ f :=
le_translationNumber_of_add_int_le f <| le_sub_iff_add_le'.1 (floor_le <| f x - x)
#align circle_deg1_lift.floor_sub_le_translation_number CircleDeg1Lift.floor_sub_le_translationNumber
theorem translationNumber_le_ceil_sub (x : ℝ) : τ f ≤ ⌈f x - x⌉ :=
translationNumber_le_of_le_add_int f <| sub_le_iff_le_add'.1 (le_ceil <| f x - x)
#align circle_deg1_lift.translation_number_le_ceil_sub CircleDeg1Lift.translationNumber_le_ceil_sub
theorem map_lt_of_translationNumber_lt_int {n : ℤ} (h : τ f < n) (x : ℝ) : f x < x + n :=
not_le.1 <| mt f.le_translationNumber_of_add_int_le <| not_le.2 h
#align circle_deg1_lift.map_lt_of_translation_number_lt_int CircleDeg1Lift.map_lt_of_translationNumber_lt_int
theorem map_lt_of_translationNumber_lt_nat {n : ℕ} (h : τ f < n) (x : ℝ) : f x < x + n :=
@map_lt_of_translationNumber_lt_int f n h x
#align circle_deg1_lift.map_lt_of_translation_number_lt_nat CircleDeg1Lift.map_lt_of_translationNumber_lt_nat
theorem map_lt_add_floor_translationNumber_add_one (x : ℝ) : f x < x + ⌊τ f⌋ + 1 := by
rw [add_assoc]
norm_cast
refine map_lt_of_translationNumber_lt_int _ ?_ _
push_cast
exact lt_floor_add_one _
#align circle_deg1_lift.map_lt_add_floor_translation_number_add_one CircleDeg1Lift.map_lt_add_floor_translationNumber_add_one
theorem map_lt_add_translationNumber_add_one (x : ℝ) : f x < x + τ f + 1 :=
calc
f x < x + ⌊τ f⌋ + 1 := f.map_lt_add_floor_translationNumber_add_one x
_ ≤ x + τ f + 1 := by gcongr; apply floor_le
#align circle_deg1_lift.map_lt_add_translation_number_add_one CircleDeg1Lift.map_lt_add_translationNumber_add_one
theorem lt_map_of_int_lt_translationNumber {n : ℤ} (h : ↑n < τ f) (x : ℝ) : x + n < f x :=
not_le.1 <| mt f.translationNumber_le_of_le_add_int <| not_le.2 h
#align circle_deg1_lift.lt_map_of_int_lt_translation_number CircleDeg1Lift.lt_map_of_int_lt_translationNumber
theorem lt_map_of_nat_lt_translationNumber {n : ℕ} (h : ↑n < τ f) (x : ℝ) : x + n < f x :=
@lt_map_of_int_lt_translationNumber f n h x
#align circle_deg1_lift.lt_map_of_nat_lt_translation_number CircleDeg1Lift.lt_map_of_nat_lt_translationNumber
theorem translationNumber_of_map_pow_eq_add_int {x : ℝ} {n : ℕ} {m : ℤ} (h : (f ^ n) x = x + m)
(hn : 0 < n) : τ f = m / n := by
have := (f ^ n).translationNumber_of_eq_add_int h
rwa [translationNumber_pow, mul_comm, ← eq_div_iff] at this
exact Nat.cast_ne_zero.2 (ne_of_gt hn)
#align circle_deg1_lift.translation_number_of_map_pow_eq_add_int CircleDeg1Lift.translationNumber_of_map_pow_eq_add_int
theorem forall_map_sub_of_Icc (P : ℝ → Prop) (h : ∀ x ∈ Icc (0 : ℝ) 1, P (f x - x)) (x : ℝ) :
P (f x - x) :=
f.map_fract_sub_fract_eq x ▸ h _ ⟨fract_nonneg _, le_of_lt (fract_lt_one _)⟩
#align circle_deg1_lift.forall_map_sub_of_Icc CircleDeg1Lift.forall_map_sub_of_Icc
theorem translationNumber_lt_of_forall_lt_add (hf : Continuous f) {z : ℝ} (hz : ∀ x, f x < x + z) :
τ f < z := by
obtain ⟨x, -, hx⟩ : ∃ x ∈ Icc (0 : ℝ) 1, ∀ y ∈ Icc (0 : ℝ) 1, f y - y ≤ f x - x :=
isCompact_Icc.exists_isMaxOn (nonempty_Icc.2 zero_le_one)
(hf.sub continuous_id).continuousOn
refine lt_of_le_of_lt ?_ (sub_lt_iff_lt_add'.2 <| hz x)
apply translationNumber_le_of_le_add
simp only [← sub_le_iff_le_add']
exact f.forall_map_sub_of_Icc (fun a => a ≤ f x - x) hx
#align circle_deg1_lift.translation_number_lt_of_forall_lt_add CircleDeg1Lift.translationNumber_lt_of_forall_lt_add
theorem lt_translationNumber_of_forall_add_lt (hf : Continuous f) {z : ℝ} (hz : ∀ x, x + z < f x) :
z < τ f := by
obtain ⟨x, -, hx⟩ : ∃ x ∈ Icc (0 : ℝ) 1, ∀ y ∈ Icc (0 : ℝ) 1, f x - x ≤ f y - y
· exact isCompact_Icc.exists_isMinOn (nonempty_Icc.2 zero_le_one)
(hf.sub continuous_id).continuousOn
refine lt_of_lt_of_le (lt_sub_iff_add_lt'.2 <| hz x) ?_
apply le_translationNumber_of_add_le
simp only [← le_sub_iff_add_le']
exact f.forall_map_sub_of_Icc _ hx
#align circle_deg1_lift.lt_translation_number_of_forall_add_lt CircleDeg1Lift.lt_translationNumber_of_forall_add_lt
theorem exists_eq_add_translationNumber (hf : Continuous f) : ∃ x, f x = x + τ f := by
obtain ⟨a, ha⟩ : ∃ x, f x ≤ x + τ f := by
by_contra! H
exact lt_irrefl _ (f.lt_translationNumber_of_forall_add_lt hf H)
obtain ⟨b, hb⟩ : ∃ x, x + τ f ≤ f x := by
by_contra! H
exact lt_irrefl _ (f.translationNumber_lt_of_forall_lt_add hf H)
exact intermediate_value_univ₂ hf (continuous_id.add continuous_const) ha hb
#align circle_deg1_lift.exists_eq_add_translation_number CircleDeg1Lift.exists_eq_add_translationNumber
theorem translationNumber_eq_int_iff (hf : Continuous f) {m : ℤ} :
τ f = m ↔ ∃ x : ℝ, f x = x + m := by
constructor
· intro h
simp only [← h]
exact f.exists_eq_add_translationNumber hf
· rintro ⟨x, hx⟩
exact f.translationNumber_of_eq_add_int hx
#align circle_deg1_lift.translation_number_eq_int_iff CircleDeg1Lift.translationNumber_eq_int_iff
| Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean | 950 | 952 | theorem continuous_pow (hf : Continuous f) (n : ℕ) : Continuous (f ^ n : CircleDeg1Lift) := by |
rw [coe_pow]
exact hf.iterate n
|
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)
| Mathlib/MeasureTheory/Integral/Marginal.lean | 88 | 96 | 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 _
|
import Mathlib.Topology.Constructions
#align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
open Set Filter Function Topology Filter
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variable [TopologicalSpace α]
@[simp]
theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a :=
bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl
#align nhds_bind_nhds_within nhds_bind_nhdsWithin
@[simp]
theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x :=
Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x }
#align eventually_nhds_nhds_within eventually_nhds_nhdsWithin
theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x :=
eventually_inf_principal
#align eventually_nhds_within_iff eventually_nhdsWithin_iff
theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s :=
frequently_inf_principal.trans <| by simp only [and_comm]
#align frequently_nhds_within_iff frequently_nhdsWithin_iff
theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} :
z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by
simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff]
#align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within
@[simp]
theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by
refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩
simp only [eventually_nhdsWithin_iff] at h ⊢
exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs
#align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin
theorem nhdsWithin_eq (a : α) (s : Set α) :
𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) :=
((nhds_basis_opens a).inf_principal s).eq_biInf
#align nhds_within_eq nhdsWithin_eq
theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by
rw [nhdsWithin, principal_univ, inf_top_eq]
#align nhds_within_univ nhdsWithin_univ
theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s)
(t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t :=
h.inf_principal t
#align nhds_within_has_basis nhdsWithin_hasBasis
theorem nhdsWithin_basis_open (a : α) (t : Set α) :
(𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t :=
nhdsWithin_hasBasis (nhds_basis_opens a) t
#align nhds_within_basis_open nhdsWithin_basis_open
| Mathlib/Topology/ContinuousOn.lean | 89 | 91 | theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by |
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
|
import Mathlib.MeasureTheory.Measure.MeasureSpace
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.Topology.Sets.Compacts
#align_import measure_theory.measure.content from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
universe u v w
noncomputable section
open Set TopologicalSpace
open NNReal ENNReal MeasureTheory
namespace MeasureTheory
variable {G : Type w} [TopologicalSpace G]
structure Content (G : Type w) [TopologicalSpace G] where
toFun : Compacts G → ℝ≥0
mono' : ∀ K₁ K₂ : Compacts G, (K₁ : Set G) ⊆ K₂ → toFun K₁ ≤ toFun K₂
sup_disjoint' :
∀ K₁ K₂ : Compacts G, Disjoint (K₁ : Set G) K₂ → IsClosed (K₁ : Set G) → IsClosed (K₂ : Set G)
→ toFun (K₁ ⊔ K₂) = toFun K₁ + toFun K₂
sup_le' : ∀ K₁ K₂ : Compacts G, toFun (K₁ ⊔ K₂) ≤ toFun K₁ + toFun K₂
#align measure_theory.content MeasureTheory.Content
instance : Inhabited (Content G) :=
⟨{ toFun := fun _ => 0
mono' := by simp
sup_disjoint' := by simp
sup_le' := by simp }⟩
instance : CoeFun (Content G) fun _ => Compacts G → ℝ≥0∞ :=
⟨fun μ s => μ.toFun s⟩
namespace Content
variable (μ : Content G)
theorem apply_eq_coe_toFun (K : Compacts G) : μ K = μ.toFun K :=
rfl
#align measure_theory.content.apply_eq_coe_to_fun MeasureTheory.Content.apply_eq_coe_toFun
theorem mono (K₁ K₂ : Compacts G) (h : (K₁ : Set G) ⊆ K₂) : μ K₁ ≤ μ K₂ := by
simp [apply_eq_coe_toFun, μ.mono' _ _ h]
#align measure_theory.content.mono MeasureTheory.Content.mono
theorem sup_disjoint (K₁ K₂ : Compacts G) (h : Disjoint (K₁ : Set G) K₂)
(h₁ : IsClosed (K₁ : Set G)) (h₂ : IsClosed (K₂ : Set G)) :
μ (K₁ ⊔ K₂) = μ K₁ + μ K₂ := by
simp [apply_eq_coe_toFun, μ.sup_disjoint' _ _ h]
#align measure_theory.content.sup_disjoint MeasureTheory.Content.sup_disjoint
theorem sup_le (K₁ K₂ : Compacts G) : μ (K₁ ⊔ K₂) ≤ μ K₁ + μ K₂ := by
simp only [apply_eq_coe_toFun]
norm_cast
exact μ.sup_le' _ _
#align measure_theory.content.sup_le MeasureTheory.Content.sup_le
theorem lt_top (K : Compacts G) : μ K < ∞ :=
ENNReal.coe_lt_top
#align measure_theory.content.lt_top MeasureTheory.Content.lt_top
theorem empty : μ ⊥ = 0 := by
have := μ.sup_disjoint' ⊥ ⊥
simpa [apply_eq_coe_toFun] using this
#align measure_theory.content.empty MeasureTheory.Content.empty
def innerContent (U : Opens G) : ℝ≥0∞ :=
⨆ (K : Compacts G) (_ : (K : Set G) ⊆ U), μ K
#align measure_theory.content.inner_content MeasureTheory.Content.innerContent
theorem le_innerContent (K : Compacts G) (U : Opens G) (h2 : (K : Set G) ⊆ U) :
μ K ≤ μ.innerContent U :=
le_iSup_of_le K <| le_iSup (fun _ ↦ (μ.toFun K : ℝ≥0∞)) h2
#align measure_theory.content.le_inner_content MeasureTheory.Content.le_innerContent
theorem innerContent_le (U : Opens G) (K : Compacts G) (h2 : (U : Set G) ⊆ K) :
μ.innerContent U ≤ μ K :=
iSup₂_le fun _ hK' => μ.mono _ _ (Subset.trans hK' h2)
#align measure_theory.content.inner_content_le MeasureTheory.Content.innerContent_le
theorem innerContent_of_isCompact {K : Set G} (h1K : IsCompact K) (h2K : IsOpen K) :
μ.innerContent ⟨K, h2K⟩ = μ ⟨K, h1K⟩ :=
le_antisymm (iSup₂_le fun _ hK' => μ.mono _ ⟨K, h1K⟩ hK') (μ.le_innerContent _ _ Subset.rfl)
#align measure_theory.content.inner_content_of_is_compact MeasureTheory.Content.innerContent_of_isCompact
theorem innerContent_bot : μ.innerContent ⊥ = 0 := by
refine le_antisymm ?_ (zero_le _)
rw [← μ.empty]
refine iSup₂_le fun K hK => ?_
have : K = ⊥ := by
ext1
rw [subset_empty_iff.mp hK, Compacts.coe_bot]
rw [this]
#align measure_theory.content.inner_content_bot MeasureTheory.Content.innerContent_bot
theorem innerContent_mono ⦃U V : Set G⦄ (hU : IsOpen U) (hV : IsOpen V) (h2 : U ⊆ V) :
μ.innerContent ⟨U, hU⟩ ≤ μ.innerContent ⟨V, hV⟩ :=
biSup_mono fun _ hK => hK.trans h2
#align measure_theory.content.inner_content_mono MeasureTheory.Content.innerContent_mono
theorem innerContent_exists_compact {U : Opens G} (hU : μ.innerContent U ≠ ∞) {ε : ℝ≥0}
(hε : ε ≠ 0) : ∃ K : Compacts G, (K : Set G) ⊆ U ∧ μ.innerContent U ≤ μ K + ε := by
have h'ε := ENNReal.coe_ne_zero.2 hε
rcases le_or_lt (μ.innerContent U) ε with h | h
· exact ⟨⊥, empty_subset _, le_add_left h⟩
have h₂ := ENNReal.sub_lt_self hU h.ne_bot h'ε
conv at h₂ => rhs; rw [innerContent]
simp only [lt_iSup_iff] at h₂
rcases h₂ with ⟨U, h1U, h2U⟩; refine ⟨U, h1U, ?_⟩
rw [← tsub_le_iff_right]; exact le_of_lt h2U
#align measure_theory.content.inner_content_exists_compact MeasureTheory.Content.innerContent_exists_compact
theorem innerContent_iSup_nat [R1Space G] (U : ℕ → Opens G) :
μ.innerContent (⨆ i : ℕ, U i) ≤ ∑' i : ℕ, μ.innerContent (U i) := by
have h3 : ∀ (t : Finset ℕ) (K : ℕ → Compacts G), μ (t.sup K) ≤ t.sum fun i => μ (K i) := by
intro t K
refine Finset.induction_on t ?_ ?_
· simp only [μ.empty, nonpos_iff_eq_zero, Finset.sum_empty, Finset.sup_empty]
· intro n s hn ih
rw [Finset.sup_insert, Finset.sum_insert hn]
exact le_trans (μ.sup_le _ _) (add_le_add_left ih _)
refine iSup₂_le fun K hK => ?_
obtain ⟨t, ht⟩ :=
K.isCompact.elim_finite_subcover _ (fun i => (U i).isOpen) (by rwa [← Opens.coe_iSup])
rcases K.isCompact.finite_compact_cover t (SetLike.coe ∘ U) (fun i _ => (U i).isOpen) ht with
⟨K', h1K', h2K', h3K'⟩
let L : ℕ → Compacts G := fun n => ⟨K' n, h1K' n⟩
convert le_trans (h3 t L) _
· ext1
rw [Compacts.coe_finset_sup, Finset.sup_eq_iSup]
exact h3K'
refine le_trans (Finset.sum_le_sum ?_) (ENNReal.sum_le_tsum t)
intro i _
refine le_trans ?_ (le_iSup _ (L i))
refine le_trans ?_ (le_iSup _ (h2K' i))
rfl
#align measure_theory.content.inner_content_Sup_nat MeasureTheory.Content.innerContent_iSup_nat
theorem innerContent_iUnion_nat [R1Space G] ⦃U : ℕ → Set G⦄
(hU : ∀ i : ℕ, IsOpen (U i)) :
μ.innerContent ⟨⋃ i : ℕ, U i, isOpen_iUnion hU⟩ ≤ ∑' i : ℕ, μ.innerContent ⟨U i, hU i⟩ := by
have := μ.innerContent_iSup_nat fun i => ⟨U i, hU i⟩
rwa [Opens.iSup_def] at this
#align measure_theory.content.inner_content_Union_nat MeasureTheory.Content.innerContent_iUnion_nat
theorem innerContent_comap (f : G ≃ₜ G) (h : ∀ ⦃K : Compacts G⦄, μ (K.map f f.continuous) = μ K)
(U : Opens G) : μ.innerContent (Opens.comap f.toContinuousMap U) = μ.innerContent U := by
refine (Compacts.equiv f).surjective.iSup_congr _ fun K => iSup_congr_Prop image_subset_iff ?_
intro hK
simp only [Equiv.coe_fn_mk, Subtype.mk_eq_mk, Compacts.equiv]
apply h
#align measure_theory.content.inner_content_comap MeasureTheory.Content.innerContent_comap
@[to_additive]
theorem is_mul_left_invariant_innerContent [Group G] [TopologicalGroup G]
(h : ∀ (g : G) {K : Compacts G}, μ (K.map _ <| continuous_mul_left g) = μ K) (g : G)
(U : Opens G) :
μ.innerContent (Opens.comap (Homeomorph.mulLeft g).toContinuousMap U) = μ.innerContent U := by
convert μ.innerContent_comap (Homeomorph.mulLeft g) (fun K => h g) U
#align measure_theory.content.is_mul_left_invariant_inner_content MeasureTheory.Content.is_mul_left_invariant_innerContent
#align measure_theory.content.is_add_left_invariant_inner_content MeasureTheory.Content.is_add_left_invariant_innerContent
@[to_additive]
theorem innerContent_pos_of_is_mul_left_invariant [Group G] [TopologicalGroup G]
(h3 : ∀ (g : G) {K : Compacts G}, μ (K.map _ <| continuous_mul_left g) = μ K) (K : Compacts G)
(hK : μ K ≠ 0) (U : Opens G) (hU : (U : Set G).Nonempty) : 0 < μ.innerContent U := by
have : (interior (U : Set G)).Nonempty := by rwa [U.isOpen.interior_eq]
rcases compact_covered_by_mul_left_translates K.2 this with ⟨s, hs⟩
suffices μ K ≤ s.card * μ.innerContent U by
exact (ENNReal.mul_pos_iff.mp <| hK.bot_lt.trans_le this).2
have : (K : Set G) ⊆ ↑(⨆ g ∈ s, Opens.comap (Homeomorph.mulLeft g).toContinuousMap U) := by
simpa only [Opens.iSup_def, Opens.coe_comap, Subtype.coe_mk]
refine (μ.le_innerContent _ _ this).trans ?_
refine
(rel_iSup_sum μ.innerContent μ.innerContent_bot (· ≤ ·) μ.innerContent_iSup_nat _ _).trans ?_
simp only [μ.is_mul_left_invariant_innerContent h3, Finset.sum_const, nsmul_eq_mul, le_refl]
#align measure_theory.content.inner_content_pos_of_is_mul_left_invariant MeasureTheory.Content.innerContent_pos_of_is_mul_left_invariant
#align measure_theory.content.inner_content_pos_of_is_add_left_invariant MeasureTheory.Content.innerContent_pos_of_is_add_left_invariant
theorem innerContent_mono' ⦃U V : Set G⦄ (hU : IsOpen U) (hV : IsOpen V) (h2 : U ⊆ V) :
μ.innerContent ⟨U, hU⟩ ≤ μ.innerContent ⟨V, hV⟩ :=
biSup_mono fun _ hK => hK.trans h2
#align measure_theory.content.inner_content_mono' MeasureTheory.Content.innerContent_mono'
section RegularContents
def ContentRegular :=
∀ ⦃K : TopologicalSpace.Compacts G⦄,
μ K = ⨅ (K' : TopologicalSpace.Compacts G) (_ : (K : Set G) ⊆ interior (K' : Set G)), μ K'
#align measure_theory.content.content_regular MeasureTheory.Content.ContentRegular
| Mathlib/MeasureTheory/Measure/Content.lean | 438 | 448 | theorem contentRegular_exists_compact (H : ContentRegular μ) (K : TopologicalSpace.Compacts G)
{ε : NNReal} (hε : ε ≠ 0) :
∃ K' : TopologicalSpace.Compacts G, K.carrier ⊆ interior K'.carrier ∧ μ K' ≤ μ K + ε := by |
by_contra hc
simp only [not_exists, not_and, not_le] at hc
have lower_bound_iInf : μ K + ε ≤
⨅ (K' : TopologicalSpace.Compacts G) (_ : (K : Set G) ⊆ interior (K' : Set G)), μ K' :=
le_iInf fun K' => le_iInf fun K'_hyp => le_of_lt (hc K' K'_hyp)
rw [← H] at lower_bound_iInf
exact (lt_self_iff_false (μ K)).mp (lt_of_le_of_lt' lower_bound_iInf
(ENNReal.lt_add_right (ne_top_of_lt (μ.lt_top K)) (ENNReal.coe_ne_zero.mpr hε)))
|
import Mathlib.Data.Multiset.Basic
import Mathlib.Data.Vector.Basic
import Mathlib.Data.Setoid.Basic
import Mathlib.Tactic.ApplyFun
#align_import data.sym.basic from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
assert_not_exists MonoidWithZero
set_option autoImplicit true
open Function
def Sym (α : Type*) (n : ℕ) :=
{ s : Multiset α // Multiset.card s = n }
#align sym Sym
-- Porting note (#11445): new definition
@[coe] def Sym.toMultiset {α : Type*} {n : ℕ} (s : Sym α n) : Multiset α :=
s.1
instance Sym.hasCoe (α : Type*) (n : ℕ) : CoeOut (Sym α n) (Multiset α) :=
⟨Sym.toMultiset⟩
#align sym.has_coe Sym.hasCoe
-- Porting note: instance needed for Data.Finset.Sym
instance [DecidableEq α] : DecidableEq (Sym α n) :=
inferInstanceAs <| DecidableEq <| Subtype _
abbrev Vector.Perm.isSetoid (α : Type*) (n : ℕ) : Setoid (Vector α n) :=
(List.isSetoid α).comap Subtype.val
#align vector.perm.is_setoid Vector.Perm.isSetoid
attribute [local instance] Vector.Perm.isSetoid
namespace Sym
variable {α β : Type*} {n n' m : ℕ} {s : Sym α n} {a b : α}
theorem coe_injective : Injective ((↑) : Sym α n → Multiset α) :=
Subtype.coe_injective
#align sym.coe_injective Sym.coe_injective
@[simp, norm_cast]
theorem coe_inj {s₁ s₂ : Sym α n} : (s₁ : Multiset α) = s₂ ↔ s₁ = s₂ :=
coe_injective.eq_iff
#align sym.coe_inj Sym.coe_inj
-- Porting note (#10756): new theorem
@[ext] theorem ext {s₁ s₂ : Sym α n} (h : (s₁ : Multiset α) = ↑s₂) : s₁ = s₂ :=
coe_injective h
-- Porting note (#10756): new theorem
@[simp]
theorem val_eq_coe (s : Sym α n) : s.1 = ↑s :=
rfl
@[match_pattern] -- Porting note: removed `@[simps]`, generated bad lemma
abbrev mk (m : Multiset α) (h : Multiset.card m = n) : Sym α n :=
⟨m, h⟩
#align sym.mk Sym.mk
@[match_pattern]
def nil : Sym α 0 :=
⟨0, Multiset.card_zero⟩
#align sym.nil Sym.nil
@[simp]
theorem coe_nil : ↑(@Sym.nil α) = (0 : Multiset α) :=
rfl
#align sym.coe_nil Sym.coe_nil
@[match_pattern]
def cons (a : α) (s : Sym α n) : Sym α n.succ :=
⟨a ::ₘ s.1, by rw [Multiset.card_cons, s.2]⟩
#align sym.cons Sym.cons
@[inherit_doc]
infixr:67 " ::ₛ " => cons
@[simp]
theorem cons_inj_right (a : α) (s s' : Sym α n) : a ::ₛ s = a ::ₛ s' ↔ s = s' :=
Subtype.ext_iff.trans <| (Multiset.cons_inj_right _).trans Subtype.ext_iff.symm
#align sym.cons_inj_right Sym.cons_inj_right
@[simp]
theorem cons_inj_left (a a' : α) (s : Sym α n) : a ::ₛ s = a' ::ₛ s ↔ a = a' :=
Subtype.ext_iff.trans <| Multiset.cons_inj_left _
#align sym.cons_inj_left Sym.cons_inj_left
theorem cons_swap (a b : α) (s : Sym α n) : a ::ₛ b ::ₛ s = b ::ₛ a ::ₛ s :=
Subtype.ext <| Multiset.cons_swap a b s.1
#align sym.cons_swap Sym.cons_swap
theorem coe_cons (s : Sym α n) (a : α) : (a ::ₛ s : Multiset α) = a ::ₘ s :=
rfl
#align sym.coe_cons Sym.coe_cons
def ofVector : Vector α n → Sym α n :=
fun x => ⟨↑x.val, (Multiset.coe_card _).trans x.2⟩
instance : Coe (Vector α n) (Sym α n) where coe x := ofVector x
@[simp]
theorem ofVector_nil : ↑(Vector.nil : Vector α 0) = (Sym.nil : Sym α 0) :=
rfl
#align sym.of_vector_nil Sym.ofVector_nil
@[simp]
theorem ofVector_cons (a : α) (v : Vector α n) : ↑(Vector.cons a v) = a ::ₛ (↑v : Sym α n) := by
cases v
rfl
#align sym.of_vector_cons Sym.ofVector_cons
@[simp]
theorem card_coe : Multiset.card (s : Multiset α) = n := s.prop
instance : Membership α (Sym α n) :=
⟨fun a s => a ∈ s.1⟩
instance decidableMem [DecidableEq α] (a : α) (s : Sym α n) : Decidable (a ∈ s) :=
s.1.decidableMem _
#align sym.decidable_mem Sym.decidableMem
@[simp]
theorem mem_mk (a : α) (s : Multiset α) (h : Multiset.card s = n) : a ∈ mk s h ↔ a ∈ s :=
Iff.rfl
#align sym.mem_mk Sym.mem_mk
@[simp]
theorem not_mem_nil (a : α) : ¬ a ∈ (nil : Sym α 0) :=
Multiset.not_mem_zero a
@[simp]
theorem mem_cons : a ∈ b ::ₛ s ↔ a = b ∨ a ∈ s :=
Multiset.mem_cons
#align sym.mem_cons Sym.mem_cons
@[simp]
theorem mem_coe : a ∈ (s : Multiset α) ↔ a ∈ s :=
Iff.rfl
#align sym.mem_coe Sym.mem_coe
theorem mem_cons_of_mem (h : a ∈ s) : a ∈ b ::ₛ s :=
Multiset.mem_cons_of_mem h
#align sym.mem_cons_of_mem Sym.mem_cons_of_mem
--@[simp] Porting note (#10618): simp can prove it
theorem mem_cons_self (a : α) (s : Sym α n) : a ∈ a ::ₛ s :=
Multiset.mem_cons_self a s.1
#align sym.mem_cons_self Sym.mem_cons_self
theorem cons_of_coe_eq (a : α) (v : Vector α n) : a ::ₛ (↑v : Sym α n) = ↑(a ::ᵥ v) :=
Subtype.ext <| by
cases v
rfl
#align sym.cons_of_coe_eq Sym.cons_of_coe_eq
open scoped List in
theorem sound {a b : Vector α n} (h : a.val ~ b.val) : (↑a : Sym α n) = ↑b :=
Subtype.ext <| Quotient.sound h
#align sym.sound Sym.sound
def erase [DecidableEq α] (s : Sym α (n + 1)) (a : α) (h : a ∈ s) : Sym α n :=
⟨s.val.erase a, (Multiset.card_erase_of_mem h).trans <| s.property.symm ▸ n.pred_succ⟩
#align sym.erase Sym.erase
@[simp]
theorem erase_mk [DecidableEq α] (m : Multiset α)
(hc : Multiset.card m = n + 1) (a : α) (h : a ∈ m) :
(mk m hc).erase a h =mk (m.erase a)
(by rw [Multiset.card_erase_of_mem h, hc]; rfl) :=
rfl
#align sym.erase_mk Sym.erase_mk
@[simp]
theorem coe_erase [DecidableEq α] {s : Sym α n.succ} {a : α} (h : a ∈ s) :
(s.erase a h : Multiset α) = Multiset.erase s a :=
rfl
#align sym.coe_erase Sym.coe_erase
@[simp]
theorem cons_erase [DecidableEq α] {s : Sym α n.succ} {a : α} (h : a ∈ s) : a ::ₛ s.erase a h = s :=
coe_injective <| Multiset.cons_erase h
#align sym.cons_erase Sym.cons_erase
@[simp]
theorem erase_cons_head [DecidableEq α] (s : Sym α n) (a : α)
(h : a ∈ a ::ₛ s := mem_cons_self a s) : (a ::ₛ s).erase a h = s :=
coe_injective <| Multiset.erase_cons_head a s.1
#align sym.erase_cons_head Sym.erase_cons_head
def Sym' (α : Type*) (n : ℕ) :=
Quotient (Vector.Perm.isSetoid α n)
#align sym.sym' Sym.Sym'
def cons' {α : Type*} {n : ℕ} : α → Sym' α n → Sym' α (Nat.succ n) := fun a =>
Quotient.map (Vector.cons a) fun ⟨_, _⟩ ⟨_, _⟩ h => List.Perm.cons _ h
#align sym.cons' Sym.cons'
@[inherit_doc]
scoped notation a " :: " b => cons' a b
def symEquivSym' {α : Type*} {n : ℕ} : Sym α n ≃ Sym' α n :=
Equiv.subtypeQuotientEquivQuotientSubtype _ _ (fun _ => by rfl) fun _ _ => by rfl
#align sym.sym_equiv_sym' Sym.symEquivSym'
theorem cons_equiv_eq_equiv_cons (α : Type*) (n : ℕ) (a : α) (s : Sym α n) :
(a::symEquivSym' s) = symEquivSym' (a ::ₛ s) := by
rcases s with ⟨⟨l⟩, _⟩
rfl
#align sym.cons_equiv_eq_equiv_cons Sym.cons_equiv_eq_equiv_cons
instance instZeroSym : Zero (Sym α 0) :=
⟨⟨0, rfl⟩⟩
@[simp] theorem toMultiset_zero : toMultiset (0 : Sym α 0) = 0 := rfl
instance : EmptyCollection (Sym α 0) :=
⟨0⟩
theorem eq_nil_of_card_zero (s : Sym α 0) : s = nil :=
Subtype.ext <| Multiset.card_eq_zero.1 s.2
#align sym.eq_nil_of_card_zero Sym.eq_nil_of_card_zero
instance uniqueZero : Unique (Sym α 0) :=
⟨⟨nil⟩, eq_nil_of_card_zero⟩
#align sym.unique_zero Sym.uniqueZero
def replicate (n : ℕ) (a : α) : Sym α n :=
⟨Multiset.replicate n a, Multiset.card_replicate _ _⟩
#align sym.replicate Sym.replicate
theorem replicate_succ {a : α} {n : ℕ} : replicate n.succ a = a ::ₛ replicate n a :=
rfl
#align sym.replicate_succ Sym.replicate_succ
theorem coe_replicate : (replicate n a : Multiset α) = Multiset.replicate n a :=
rfl
#align sym.coe_replicate Sym.coe_replicate
@[simp]
theorem mem_replicate : b ∈ replicate n a ↔ n ≠ 0 ∧ b = a :=
Multiset.mem_replicate
#align sym.mem_replicate Sym.mem_replicate
theorem eq_replicate_iff : s = replicate n a ↔ ∀ b ∈ s, b = a := by
erw [Subtype.ext_iff, Multiset.eq_replicate]
exact and_iff_right s.2
#align sym.eq_replicate_iff Sym.eq_replicate_iff
theorem exists_mem (s : Sym α n.succ) : ∃ a, a ∈ s :=
Multiset.card_pos_iff_exists_mem.1 <| s.2.symm ▸ n.succ_pos
#align sym.exists_mem Sym.exists_mem
theorem exists_cons_of_mem {s : Sym α (n + 1)} {a : α} (h : a ∈ s) : ∃ t, s = a ::ₛ t := by
obtain ⟨m, h⟩ := Multiset.exists_cons_of_mem h
have : Multiset.card m = n := by
apply_fun Multiset.card at h
rw [s.2, Multiset.card_cons, add_left_inj] at h
exact h.symm
use ⟨m, this⟩
apply Subtype.ext
exact h
theorem exists_eq_cons_of_succ (s : Sym α n.succ) : ∃ (a : α) (s' : Sym α n), s = a ::ₛ s' := by
obtain ⟨a, ha⟩ := exists_mem s
classical exact ⟨a, s.erase a ha, (cons_erase ha).symm⟩
#align sym.exists_eq_cons_of_succ Sym.exists_eq_cons_of_succ
theorem eq_replicate {a : α} {n : ℕ} {s : Sym α n} : s = replicate n a ↔ ∀ b ∈ s, b = a :=
Subtype.ext_iff.trans <| Multiset.eq_replicate.trans <| and_iff_right s.prop
#align sym.eq_replicate Sym.eq_replicate
theorem eq_replicate_of_subsingleton [Subsingleton α] (a : α) {n : ℕ} (s : Sym α n) :
s = replicate n a :=
eq_replicate.2 fun _ _ => Subsingleton.elim _ _
#align sym.eq_replicate_of_subsingleton Sym.eq_replicate_of_subsingleton
instance [Subsingleton α] (n : ℕ) : Subsingleton (Sym α n) :=
⟨by
cases n
· simp [eq_iff_true_of_subsingleton]
· intro s s'
obtain ⟨b, -⟩ := exists_mem s
rw [eq_replicate_of_subsingleton b s', eq_replicate_of_subsingleton b s]⟩
instance inhabitedSym [Inhabited α] (n : ℕ) : Inhabited (Sym α n) :=
⟨replicate n default⟩
#align sym.inhabited_sym Sym.inhabitedSym
instance inhabitedSym' [Inhabited α] (n : ℕ) : Inhabited (Sym' α n) :=
⟨Quotient.mk' (Vector.replicate n default)⟩
#align sym.inhabited_sym' Sym.inhabitedSym'
instance (n : ℕ) [IsEmpty α] : IsEmpty (Sym α n.succ) :=
⟨fun s => by
obtain ⟨a, -⟩ := exists_mem s
exact isEmptyElim a⟩
instance (n : ℕ) [Unique α] : Unique (Sym α n) :=
Unique.mk' _
theorem replicate_right_inj {a b : α} {n : ℕ} (h : n ≠ 0) : replicate n a = replicate n b ↔ a = b :=
Subtype.ext_iff.trans (Multiset.replicate_right_inj h)
#align sym.replicate_right_inj Sym.replicate_right_inj
theorem replicate_right_injective {n : ℕ} (h : n ≠ 0) :
Function.Injective (replicate n : α → Sym α n) := fun _ _ => (replicate_right_inj h).1
#align sym.replicate_right_injective Sym.replicate_right_injective
instance (n : ℕ) [Nontrivial α] : Nontrivial (Sym α (n + 1)) :=
(replicate_right_injective n.succ_ne_zero).nontrivial
def map {n : ℕ} (f : α → β) (x : Sym α n) : Sym β n :=
⟨x.val.map f, by simp⟩
#align sym.map Sym.map
@[simp]
theorem mem_map {n : ℕ} {f : α → β} {b : β} {l : Sym α n} :
b ∈ Sym.map f l ↔ ∃ a, a ∈ l ∧ f a = b :=
Multiset.mem_map
#align sym.mem_map Sym.mem_map
@[simp]
theorem map_id' {α : Type*} {n : ℕ} (s : Sym α n) : Sym.map (fun x : α => x) s = s := by
ext; simp only [map, val_eq_coe, Multiset.map_id', coe_inj]; rfl
#align sym.map_id' Sym.map_id'
theorem map_id {α : Type*} {n : ℕ} (s : Sym α n) : Sym.map id s = s := by
ext; simp only [map, val_eq_coe, id_eq, Multiset.map_id', coe_inj]; rfl
#align sym.map_id Sym.map_id
@[simp]
theorem map_map {α β γ : Type*} {n : ℕ} (g : β → γ) (f : α → β) (s : Sym α n) :
Sym.map g (Sym.map f s) = Sym.map (g ∘ f) s :=
Subtype.ext <| by dsimp only [Sym.map]; simp
#align sym.map_map Sym.map_map
@[simp]
theorem map_zero (f : α → β) : Sym.map f (0 : Sym α 0) = (0 : Sym β 0) :=
rfl
#align sym.map_zero Sym.map_zero
@[simp]
theorem map_cons {n : ℕ} (f : α → β) (a : α) (s : Sym α n) : (a ::ₛ s).map f = f a ::ₛ s.map f :=
ext <| Multiset.map_cons _ _ _
#align sym.map_cons Sym.map_cons
@[congr]
theorem map_congr {f g : α → β} {s : Sym α n} (h : ∀ x ∈ s, f x = g x) : map f s = map g s :=
Subtype.ext <| Multiset.map_congr rfl h
#align sym.map_congr Sym.map_congr
@[simp]
theorem map_mk {f : α → β} {m : Multiset α} {hc : Multiset.card m = n} :
map f (mk m hc) = mk (m.map f) (by simp [hc]) :=
rfl
#align sym.map_mk Sym.map_mk
@[simp]
theorem coe_map (s : Sym α n) (f : α → β) : ↑(s.map f) = Multiset.map f s :=
rfl
#align sym.coe_map Sym.coe_map
theorem map_injective {f : α → β} (hf : Injective f) (n : ℕ) :
Injective (map f : Sym α n → Sym β n) := fun _ _ h =>
coe_injective <| Multiset.map_injective hf <| coe_inj.2 h
#align sym.map_injective Sym.map_injective
@[simps]
def equivCongr (e : α ≃ β) : Sym α n ≃ Sym β n where
toFun := map e
invFun := map e.symm
left_inv x := by rw [map_map, Equiv.symm_comp_self, map_id]
right_inv x := by rw [map_map, Equiv.self_comp_symm, map_id]
#align sym.equiv_congr Sym.equivCongr
#align sym.equiv_congr_symm_apply Sym.equivCongr_symm_apply
#align sym.equiv_congr_apply Sym.equivCongr_apply
def attach (s : Sym α n) : Sym { x // x ∈ s } n :=
⟨s.val.attach, by (conv_rhs => rw [← s.2, ← Multiset.card_attach]); rfl⟩
#align sym.attach Sym.attach
@[simp]
theorem attach_mk {m : Multiset α} {hc : Multiset.card m = n} :
attach (mk m hc) = mk m.attach (Multiset.card_attach.trans hc) :=
rfl
#align sym.attach_mk Sym.attach_mk
@[simp]
theorem coe_attach (s : Sym α n) : (s.attach : Multiset { a // a ∈ s }) =
Multiset.attach (s : Multiset α) :=
rfl
#align sym.coe_attach Sym.coe_attach
theorem attach_map_coe (s : Sym α n) : s.attach.map (↑) = s :=
coe_injective <| Multiset.attach_map_val _
#align sym.attach_map_coe Sym.attach_map_coe
@[simp]
theorem mem_attach (s : Sym α n) (x : { x // x ∈ s }) : x ∈ s.attach :=
Multiset.mem_attach _ _
#align sym.mem_attach Sym.mem_attach
@[simp]
theorem attach_nil : (nil : Sym α 0).attach = nil :=
rfl
#align sym.attach_nil Sym.attach_nil
@[simp]
theorem attach_cons (x : α) (s : Sym α n) :
(cons x s).attach =
cons ⟨x, mem_cons_self _ _⟩ (s.attach.map fun x => ⟨x, mem_cons_of_mem x.prop⟩) :=
coe_injective <| Multiset.attach_cons _ _
#align sym.attach_cons Sym.attach_cons
protected def cast {n m : ℕ} (h : n = m) : Sym α n ≃ Sym α m where
toFun s := ⟨s.val, s.2.trans h⟩
invFun s := ⟨s.val, s.2.trans h.symm⟩
left_inv _ := Subtype.ext rfl
right_inv _ := Subtype.ext rfl
#align sym.cast Sym.cast
@[simp]
theorem cast_rfl : Sym.cast rfl s = s :=
Subtype.ext rfl
#align sym.cast_rfl Sym.cast_rfl
@[simp]
theorem cast_cast {n'' : ℕ} (h : n = n') (h' : n' = n'') :
Sym.cast h' (Sym.cast h s) = Sym.cast (h.trans h') s :=
rfl
#align sym.cast_cast Sym.cast_cast
@[simp]
theorem coe_cast (h : n = m) : (Sym.cast h s : Multiset α) = s :=
rfl
#align sym.coe_cast Sym.coe_cast
@[simp]
theorem mem_cast (h : n = m) : a ∈ Sym.cast h s ↔ a ∈ s :=
Iff.rfl
#align sym.mem_cast Sym.mem_cast
def append (s : Sym α n) (s' : Sym α n') : Sym α (n + n') :=
⟨s.1 + s'.1, by rw [map_add, s.2, s'.2]⟩
#align sym.append Sym.append
@[simp]
theorem append_inj_right (s : Sym α n) {t t' : Sym α n'} : s.append t = s.append t' ↔ t = t' :=
Subtype.ext_iff.trans <| (add_right_inj _).trans Subtype.ext_iff.symm
#align sym.append_inj_right Sym.append_inj_right
@[simp]
theorem append_inj_left {s s' : Sym α n} (t : Sym α n') : s.append t = s'.append t ↔ s = s' :=
Subtype.ext_iff.trans <| (add_left_inj _).trans Subtype.ext_iff.symm
#align sym.append_inj_left Sym.append_inj_left
theorem append_comm (s : Sym α n') (s' : Sym α n') :
s.append s' = Sym.cast (add_comm _ _) (s'.append s) := by
ext
simp [append, add_comm]
#align sym.append_comm Sym.append_comm
@[simp, norm_cast]
theorem coe_append (s : Sym α n) (s' : Sym α n') : (s.append s' : Multiset α) = s + s' :=
rfl
#align sym.coe_append Sym.coe_append
theorem mem_append_iff {s' : Sym α m} : a ∈ s.append s' ↔ a ∈ s ∨ a ∈ s' :=
Multiset.mem_add
#align sym.mem_append_iff Sym.mem_append_iff
def fill (a : α) (i : Fin (n + 1)) (m : Sym α (n - i)) : Sym α n :=
Sym.cast (Nat.sub_add_cancel i.is_le) (m.append (replicate i a))
#align sym.fill Sym.fill
theorem coe_fill {a : α} {i : Fin (n + 1)} {m : Sym α (n - i)} :
(fill a i m : Multiset α) = m + replicate i a :=
rfl
#align sym.coe_fill Sym.coe_fill
theorem mem_fill_iff {a b : α} {i : Fin (n + 1)} {s : Sym α (n - i)} :
a ∈ Sym.fill b i s ↔ (i : ℕ) ≠ 0 ∧ a = b ∨ a ∈ s := by
rw [fill, mem_cast, mem_append_iff, or_comm, mem_replicate]
#align sym.mem_fill_iff Sym.mem_fill_iff
open Multiset
def filterNe [DecidableEq α] (a : α) (m : Sym α n) : Σi : Fin (n + 1), Sym α (n - i) :=
⟨⟨m.1.count a, (count_le_card _ _).trans_lt <| by rw [m.2, Nat.lt_succ_iff]⟩,
m.1.filter (a ≠ ·),
Nat.eq_sub_of_add_eq <|
Eq.trans
(by
rw [← countP_eq_card_filter, add_comm]
simp only [eq_comm, Ne, count]
rw [← card_eq_countP_add_countP _ _])
m.2⟩
#align sym.filter_ne Sym.filterNe
theorem sigma_sub_ext {m₁ m₂ : Σi : Fin (n + 1), Sym α (n - i)} (h : (m₁.2 : Multiset α) = m₂.2) :
m₁ = m₂ :=
Sigma.subtype_ext
(Fin.ext <| by
rw [← Nat.sub_sub_self (Nat.le_of_lt_succ m₁.1.is_lt), ← m₁.2.2, val_eq_coe, h,
← val_eq_coe, m₂.2.2, Nat.sub_sub_self (Nat.le_of_lt_succ m₂.1.is_lt)])
h
#align sym.sigma_sub_ext Sym.sigma_sub_ext
theorem fill_filterNe [DecidableEq α] (a : α) (m : Sym α n) :
(m.filterNe a).2.fill a (m.filterNe a).1 = m :=
Sym.ext
(by
rw [coe_fill, filterNe, ← val_eq_coe, Subtype.coe_mk, Fin.val_mk]
ext b; dsimp
rw [count_add, count_filter, Sym.coe_replicate, count_replicate]
obtain rfl | h := eq_or_ne a b
· rw [if_pos rfl, if_neg (not_not.2 rfl), zero_add]
· rw [if_pos h, if_neg h.symm, add_zero])
#align sym.fill_filter_ne Sym.fill_filterNe
theorem filter_ne_fill [DecidableEq α] (a : α) (m : Σi : Fin (n + 1), Sym α (n - i)) (h : a ∉ m.2) :
(m.2.fill a m.1).filterNe a = m :=
sigma_sub_ext
(by
rw [filterNe, ← val_eq_coe, Subtype.coe_mk, val_eq_coe, coe_fill]
rw [filter_add, filter_eq_self.2, add_right_eq_self, eq_zero_iff_forall_not_mem]
· intro b hb
rw [mem_filter, Sym.mem_coe, mem_replicate] at hb
exact hb.2 hb.1.2.symm
· exact fun a ha ha' => h <| ha'.symm ▸ ha)
#align sym.filter_ne_fill Sym.filter_ne_fill
| Mathlib/Data/Sym/Basic.lean | 608 | 611 | theorem count_coe_fill_self_of_not_mem [DecidableEq α] {a : α} {i : Fin (n + 1)} {s : Sym α (n - i)}
(hx : a ∉ s) :
count a (fill a i s : Multiset α) = i := by |
simp [coe_fill, coe_replicate, hx]
|
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.theta from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter
open Topology
namespace Asymptotics
set_option linter.uppercaseLean3 false -- is_Theta
variable {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*} {E' : Type*}
{F' : Type*} {G' : Type*} {E'' : Type*} {F'' : Type*} {G'' : Type*} {R : Type*}
{R' : Type*} {𝕜 : Type*} {𝕜' : Type*}
variable [Norm E] [Norm F] [Norm G]
variable [SeminormedAddCommGroup E'] [SeminormedAddCommGroup F'] [SeminormedAddCommGroup G']
[NormedAddCommGroup E''] [NormedAddCommGroup F''] [NormedAddCommGroup G''] [SeminormedRing R]
[SeminormedRing R']
variable [NormedField 𝕜] [NormedField 𝕜']
variable {c c' c₁ c₂ : ℝ} {f : α → E} {g : α → F} {k : α → G}
variable {f' : α → E'} {g' : α → F'} {k' : α → G'}
variable {f'' : α → E''} {g'' : α → F''}
variable {l l' : Filter α}
def IsTheta (l : Filter α) (f : α → E) (g : α → F) : Prop :=
IsBigO l f g ∧ IsBigO l g f
#align asymptotics.is_Theta Asymptotics.IsTheta
@[inherit_doc]
notation:100 f " =Θ[" l "] " g:100 => IsTheta l f g
theorem IsBigO.antisymm (h₁ : f =O[l] g) (h₂ : g =O[l] f) : f =Θ[l] g :=
⟨h₁, h₂⟩
#align asymptotics.is_O.antisymm Asymptotics.IsBigO.antisymm
lemma IsTheta.isBigO (h : f =Θ[l] g) : f =O[l] g := h.1
lemma IsTheta.isBigO_symm (h : f =Θ[l] g) : g =O[l] f := h.2
@[refl]
theorem isTheta_refl (f : α → E) (l : Filter α) : f =Θ[l] f :=
⟨isBigO_refl _ _, isBigO_refl _ _⟩
#align asymptotics.is_Theta_refl Asymptotics.isTheta_refl
theorem isTheta_rfl : f =Θ[l] f :=
isTheta_refl _ _
#align asymptotics.is_Theta_rfl Asymptotics.isTheta_rfl
@[symm]
nonrec theorem IsTheta.symm (h : f =Θ[l] g) : g =Θ[l] f :=
h.symm
#align asymptotics.is_Theta.symm Asymptotics.IsTheta.symm
theorem isTheta_comm : f =Θ[l] g ↔ g =Θ[l] f :=
⟨fun h ↦ h.symm, fun h ↦ h.symm⟩
#align asymptotics.is_Theta_comm Asymptotics.isTheta_comm
@[trans]
theorem IsTheta.trans {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =Θ[l] g) (h₂ : g =Θ[l] k) :
f =Θ[l] k :=
⟨h₁.1.trans h₂.1, h₂.2.trans h₁.2⟩
#align asymptotics.is_Theta.trans Asymptotics.IsTheta.trans
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsTheta l) (IsTheta l) (IsTheta l) :=
⟨IsTheta.trans⟩
@[trans]
theorem IsBigO.trans_isTheta {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =O[l] g)
(h₂ : g =Θ[l] k) : f =O[l] k :=
h₁.trans h₂.1
#align asymptotics.is_O.trans_is_Theta Asymptotics.IsBigO.trans_isTheta
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsBigO l) (IsTheta l) (IsBigO l) :=
⟨IsBigO.trans_isTheta⟩
@[trans]
theorem IsTheta.trans_isBigO {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =Θ[l] g)
(h₂ : g =O[l] k) : f =O[l] k :=
h₁.1.trans h₂
#align asymptotics.is_Theta.trans_is_O Asymptotics.IsTheta.trans_isBigO
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsTheta l) (IsBigO l) (IsBigO l) :=
⟨IsTheta.trans_isBigO⟩
@[trans]
theorem IsLittleO.trans_isTheta {f : α → E} {g : α → F} {k : α → G'} (h₁ : f =o[l] g)
(h₂ : g =Θ[l] k) : f =o[l] k :=
h₁.trans_isBigO h₂.1
#align asymptotics.is_o.trans_is_Theta Asymptotics.IsLittleO.trans_isTheta
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G') (IsLittleO l) (IsTheta l) (IsLittleO l) :=
⟨IsLittleO.trans_isTheta⟩
@[trans]
theorem IsTheta.trans_isLittleO {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =Θ[l] g)
(h₂ : g =o[l] k) : f =o[l] k :=
h₁.1.trans_isLittleO h₂
#align asymptotics.is_Theta.trans_is_o Asymptotics.IsTheta.trans_isLittleO
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsTheta l) (IsLittleO l) (IsLittleO l) :=
⟨IsTheta.trans_isLittleO⟩
@[trans]
theorem IsTheta.trans_eventuallyEq {f : α → E} {g₁ g₂ : α → F} (h : f =Θ[l] g₁) (hg : g₁ =ᶠ[l] g₂) :
f =Θ[l] g₂ :=
⟨h.1.trans_eventuallyEq hg, hg.symm.trans_isBigO h.2⟩
#align asymptotics.is_Theta.trans_eventually_eq Asymptotics.IsTheta.trans_eventuallyEq
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F) (γ := α → F) (IsTheta l) (EventuallyEq l) (IsTheta l) :=
⟨IsTheta.trans_eventuallyEq⟩
@[trans]
theorem _root_.Filter.EventuallyEq.trans_isTheta {f₁ f₂ : α → E} {g : α → F} (hf : f₁ =ᶠ[l] f₂)
(h : f₂ =Θ[l] g) : f₁ =Θ[l] g :=
⟨hf.trans_isBigO h.1, h.2.trans_eventuallyEq hf.symm⟩
#align filter.eventually_eq.trans_is_Theta Filter.EventuallyEq.trans_isTheta
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → E) (γ := α → F) (EventuallyEq l) (IsTheta l) (IsTheta l) :=
⟨EventuallyEq.trans_isTheta⟩
lemma _root_.Filter.EventuallyEq.isTheta {f g : α → E} (h : f =ᶠ[l] g) : f =Θ[l] g :=
h.trans_isTheta isTheta_rfl
@[simp]
theorem isTheta_norm_left : (fun x ↦ ‖f' x‖) =Θ[l] g ↔ f' =Θ[l] g := by simp [IsTheta]
#align asymptotics.is_Theta_norm_left Asymptotics.isTheta_norm_left
@[simp]
theorem isTheta_norm_right : (f =Θ[l] fun x ↦ ‖g' x‖) ↔ f =Θ[l] g' := by simp [IsTheta]
#align asymptotics.is_Theta_norm_right Asymptotics.isTheta_norm_right
alias ⟨IsTheta.of_norm_left, IsTheta.norm_left⟩ := isTheta_norm_left
#align asymptotics.is_Theta.of_norm_left Asymptotics.IsTheta.of_norm_left
#align asymptotics.is_Theta.norm_left Asymptotics.IsTheta.norm_left
alias ⟨IsTheta.of_norm_right, IsTheta.norm_right⟩ := isTheta_norm_right
#align asymptotics.is_Theta.of_norm_right Asymptotics.IsTheta.of_norm_right
#align asymptotics.is_Theta.norm_right Asymptotics.IsTheta.norm_right
theorem isTheta_of_norm_eventuallyEq (h : (fun x ↦ ‖f x‖) =ᶠ[l] fun x ↦ ‖g x‖) : f =Θ[l] g :=
⟨IsBigO.of_bound 1 <| by simpa only [one_mul] using h.le,
IsBigO.of_bound 1 <| by simpa only [one_mul] using h.symm.le⟩
#align asymptotics.is_Theta_of_norm_eventually_eq Asymptotics.isTheta_of_norm_eventuallyEq
theorem isTheta_of_norm_eventuallyEq' {g : α → ℝ} (h : (fun x ↦ ‖f' x‖) =ᶠ[l] g) : f' =Θ[l] g :=
isTheta_of_norm_eventuallyEq <| h.mono fun x hx ↦ by simp only [← hx, norm_norm]
#align asymptotics.is_Theta_of_norm_eventually_eq' Asymptotics.isTheta_of_norm_eventuallyEq'
theorem IsTheta.isLittleO_congr_left (h : f' =Θ[l] g') : f' =o[l] k ↔ g' =o[l] k :=
⟨h.symm.trans_isLittleO, h.trans_isLittleO⟩
#align asymptotics.is_Theta.is_o_congr_left Asymptotics.IsTheta.isLittleO_congr_left
theorem IsTheta.isLittleO_congr_right (h : g' =Θ[l] k') : f =o[l] g' ↔ f =o[l] k' :=
⟨fun H ↦ H.trans_isTheta h, fun H ↦ H.trans_isTheta h.symm⟩
#align asymptotics.is_Theta.is_o_congr_right Asymptotics.IsTheta.isLittleO_congr_right
theorem IsTheta.isBigO_congr_left (h : f' =Θ[l] g') : f' =O[l] k ↔ g' =O[l] k :=
⟨h.symm.trans_isBigO, h.trans_isBigO⟩
#align asymptotics.is_Theta.is_O_congr_left Asymptotics.IsTheta.isBigO_congr_left
theorem IsTheta.isBigO_congr_right (h : g' =Θ[l] k') : f =O[l] g' ↔ f =O[l] k' :=
⟨fun H ↦ H.trans_isTheta h, fun H ↦ H.trans_isTheta h.symm⟩
#align asymptotics.is_Theta.is_O_congr_right Asymptotics.IsTheta.isBigO_congr_right
lemma IsTheta.isTheta_congr_left (h : f' =Θ[l] g') : f' =Θ[l] k ↔ g' =Θ[l] k :=
h.isBigO_congr_left.and h.isBigO_congr_right
lemma IsTheta.isTheta_congr_right (h : f' =Θ[l] g') : k =Θ[l] f' ↔ k =Θ[l] g' :=
h.isBigO_congr_right.and h.isBigO_congr_left
theorem IsTheta.mono (h : f =Θ[l] g) (hl : l' ≤ l) : f =Θ[l'] g :=
⟨h.1.mono hl, h.2.mono hl⟩
#align asymptotics.is_Theta.mono Asymptotics.IsTheta.mono
theorem IsTheta.sup (h : f' =Θ[l] g') (h' : f' =Θ[l'] g') : f' =Θ[l ⊔ l'] g' :=
⟨h.1.sup h'.1, h.2.sup h'.2⟩
#align asymptotics.is_Theta.sup Asymptotics.IsTheta.sup
@[simp]
theorem isTheta_sup : f' =Θ[l ⊔ l'] g' ↔ f' =Θ[l] g' ∧ f' =Θ[l'] g' :=
⟨fun h ↦ ⟨h.mono le_sup_left, h.mono le_sup_right⟩, fun h ↦ h.1.sup h.2⟩
#align asymptotics.is_Theta_sup Asymptotics.isTheta_sup
theorem IsTheta.eq_zero_iff (h : f'' =Θ[l] g'') : ∀ᶠ x in l, f'' x = 0 ↔ g'' x = 0 :=
h.1.eq_zero_imp.mp <| h.2.eq_zero_imp.mono fun _ ↦ Iff.intro
#align asymptotics.is_Theta.eq_zero_iff Asymptotics.IsTheta.eq_zero_iff
theorem IsTheta.tendsto_zero_iff (h : f'' =Θ[l] g'') :
Tendsto f'' l (𝓝 0) ↔ Tendsto g'' l (𝓝 0) := by
simp only [← isLittleO_one_iff ℝ, h.isLittleO_congr_left]
#align asymptotics.is_Theta.tendsto_zero_iff Asymptotics.IsTheta.tendsto_zero_iff
| Mathlib/Analysis/Asymptotics/Theta.lean | 219 | 221 | theorem IsTheta.tendsto_norm_atTop_iff (h : f' =Θ[l] g') :
Tendsto (norm ∘ f') l atTop ↔ Tendsto (norm ∘ g') l atTop := by |
simp only [Function.comp, ← isLittleO_const_left_of_ne (one_ne_zero' ℝ), h.isLittleO_congr_right]
|
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.hausdorff_distance from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156"
noncomputable section
open NNReal ENNReal Topology Set Filter Bornology
universe u v w
variable {ι : Sort*} {α : Type u} {β : Type v}
namespace Metric
section Thickening
variable [PseudoEMetricSpace α] {δ : ℝ} {s : Set α} {x : α}
open EMetric
def thickening (δ : ℝ) (E : Set α) : Set α :=
{ x : α | infEdist x E < ENNReal.ofReal δ }
#align metric.thickening Metric.thickening
theorem mem_thickening_iff_infEdist_lt : x ∈ thickening δ s ↔ infEdist x s < ENNReal.ofReal δ :=
Iff.rfl
#align metric.mem_thickening_iff_inf_edist_lt Metric.mem_thickening_iff_infEdist_lt
lemma eventually_not_mem_thickening_of_infEdist_pos {E : Set α} {x : α} (h : x ∉ closure E) :
∀ᶠ δ in 𝓝 (0 : ℝ), x ∉ Metric.thickening δ E := by
obtain ⟨ε, ⟨ε_pos, ε_lt⟩⟩ := exists_real_pos_lt_infEdist_of_not_mem_closure h
filter_upwards [eventually_lt_nhds ε_pos] with δ hδ
simp only [thickening, mem_setOf_eq, not_lt]
exact (ENNReal.ofReal_le_ofReal hδ.le).trans ε_lt.le
theorem thickening_eq_preimage_infEdist (δ : ℝ) (E : Set α) :
thickening δ E = (infEdist · E) ⁻¹' Iio (ENNReal.ofReal δ) :=
rfl
#align metric.thickening_eq_preimage_inf_edist Metric.thickening_eq_preimage_infEdist
theorem isOpen_thickening {δ : ℝ} {E : Set α} : IsOpen (thickening δ E) :=
Continuous.isOpen_preimage continuous_infEdist _ isOpen_Iio
#align metric.is_open_thickening Metric.isOpen_thickening
@[simp]
theorem thickening_empty (δ : ℝ) : thickening δ (∅ : Set α) = ∅ := by
simp only [thickening, setOf_false, infEdist_empty, not_top_lt]
#align metric.thickening_empty Metric.thickening_empty
theorem thickening_of_nonpos (hδ : δ ≤ 0) (s : Set α) : thickening δ s = ∅ :=
eq_empty_of_forall_not_mem fun _ => ((ENNReal.ofReal_of_nonpos hδ).trans_le bot_le).not_lt
#align metric.thickening_of_nonpos Metric.thickening_of_nonpos
theorem thickening_mono {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
thickening δ₁ E ⊆ thickening δ₂ E :=
preimage_mono (Iio_subset_Iio (ENNReal.ofReal_le_ofReal hle))
#align metric.thickening_mono Metric.thickening_mono
theorem thickening_subset_of_subset (δ : ℝ) {E₁ E₂ : Set α} (h : E₁ ⊆ E₂) :
thickening δ E₁ ⊆ thickening δ E₂ := fun _ hx => lt_of_le_of_lt (infEdist_anti h) hx
#align metric.thickening_subset_of_subset Metric.thickening_subset_of_subset
theorem mem_thickening_iff_exists_edist_lt {δ : ℝ} (E : Set α) (x : α) :
x ∈ thickening δ E ↔ ∃ z ∈ E, edist x z < ENNReal.ofReal δ :=
infEdist_lt_iff
#align metric.mem_thickening_iff_exists_edist_lt Metric.mem_thickening_iff_exists_edist_lt
theorem frontier_thickening_subset (E : Set α) {δ : ℝ} :
frontier (thickening δ E) ⊆ { x : α | infEdist x E = ENNReal.ofReal δ } :=
frontier_lt_subset_eq continuous_infEdist continuous_const
#align metric.frontier_thickening_subset Metric.frontier_thickening_subset
theorem frontier_thickening_disjoint (A : Set α) :
Pairwise (Disjoint on fun r : ℝ => frontier (thickening r A)) := by
refine (pairwise_disjoint_on _).2 fun r₁ r₂ hr => ?_
rcases le_total r₁ 0 with h₁ | h₁
· simp [thickening_of_nonpos h₁]
refine ((disjoint_singleton.2 fun h => hr.ne ?_).preimage _).mono (frontier_thickening_subset _)
(frontier_thickening_subset _)
apply_fun ENNReal.toReal at h
rwa [ENNReal.toReal_ofReal h₁, ENNReal.toReal_ofReal (h₁.trans hr.le)] at h
#align metric.frontier_thickening_disjoint Metric.frontier_thickening_disjoint
lemma subset_compl_thickening_compl_thickening_self (δ : ℝ) (E : Set α) :
E ⊆ (thickening δ (thickening δ E)ᶜ)ᶜ := by
intro x x_in_E
simp only [thickening, mem_compl_iff, mem_setOf_eq, not_lt]
apply EMetric.le_infEdist.mpr fun y hy ↦ ?_
simp only [mem_compl_iff, mem_setOf_eq, not_lt] at hy
simpa only [edist_comm] using le_trans hy <| EMetric.infEdist_le_edist_of_mem x_in_E
lemma thickening_compl_thickening_self_subset_compl (δ : ℝ) (E : Set α) :
thickening δ (thickening δ E)ᶜ ⊆ Eᶜ := by
apply compl_subset_compl.mp
simpa only [compl_compl] using subset_compl_thickening_compl_thickening_self δ E
variable {X : Type u} [PseudoMetricSpace X]
-- Porting note (#10756): new lemma
theorem mem_thickening_iff_infDist_lt {E : Set X} {x : X} (h : E.Nonempty) :
x ∈ thickening δ E ↔ infDist x E < δ :=
lt_ofReal_iff_toReal_lt (infEdist_ne_top h)
theorem mem_thickening_iff {E : Set X} {x : X} : x ∈ thickening δ E ↔ ∃ z ∈ E, dist x z < δ := by
have key_iff : ∀ z : X, edist x z < ENNReal.ofReal δ ↔ dist x z < δ := fun z ↦ by
rw [dist_edist, lt_ofReal_iff_toReal_lt (edist_ne_top _ _)]
simp_rw [mem_thickening_iff_exists_edist_lt, key_iff]
#align metric.mem_thickening_iff Metric.mem_thickening_iff
@[simp]
theorem thickening_singleton (δ : ℝ) (x : X) : thickening δ ({x} : Set X) = ball x δ := by
ext
simp [mem_thickening_iff]
#align metric.thickening_singleton Metric.thickening_singleton
theorem ball_subset_thickening {x : X} {E : Set X} (hx : x ∈ E) (δ : ℝ) :
ball x δ ⊆ thickening δ E :=
Subset.trans (by simp [Subset.rfl]) (thickening_subset_of_subset δ <| singleton_subset_iff.mpr hx)
#align metric.ball_subset_thickening Metric.ball_subset_thickening
| Mathlib/Topology/MetricSpace/Thickening.lean | 170 | 173 | theorem thickening_eq_biUnion_ball {δ : ℝ} {E : Set X} : thickening δ E = ⋃ x ∈ E, ball x δ := by |
ext x
simp only [mem_iUnion₂, exists_prop]
exact mem_thickening_iff
|
import Mathlib.Topology.Basic
#align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Filter Topology
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X}
{s t s₁ s₂ t₁ t₂ : Set X} {x : X}
theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] :
𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by
rw [nhdsSet, ← range_diag, ← range_comp]
rfl
#align nhds_set_diagonal nhdsSet_diagonal
theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by
simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image]
#align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall
lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet]
theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s :=
mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <|
subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s`
#align bUnion_mem_nhds_set bUnion_mem_nhdsSet
theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by
simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds]
#align subset_interior_iff_mem_nhds_set subset_interior_iff_mem_nhdsSet
theorem disjoint_principal_nhdsSet : Disjoint (𝓟 s) (𝓝ˢ t) ↔ Disjoint (closure s) t := by
rw [disjoint_principal_left, ← subset_interior_iff_mem_nhdsSet, interior_compl,
subset_compl_iff_disjoint_left]
theorem disjoint_nhdsSet_principal : Disjoint (𝓝ˢ s) (𝓟 t) ↔ Disjoint s (closure t) := by
rw [disjoint_comm, disjoint_principal_nhdsSet, disjoint_comm]
theorem mem_nhdsSet_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : Set X, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := by
rw [← subset_interior_iff_mem_nhdsSet, subset_interior_iff]
#align mem_nhds_set_iff_exists mem_nhdsSet_iff_exists
theorem eventually_nhdsSet_iff_exists {p : X → Prop} :
(∀ᶠ x in 𝓝ˢ s, p x) ↔ ∃ t, IsOpen t ∧ s ⊆ t ∧ ∀ x, x ∈ t → p x :=
mem_nhdsSet_iff_exists
theorem eventually_nhdsSet_iff_forall {p : X → Prop} :
(∀ᶠ x in 𝓝ˢ s, p x) ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, p y :=
mem_nhdsSet_iff_forall
theorem hasBasis_nhdsSet (s : Set X) : (𝓝ˢ s).HasBasis (fun U => IsOpen U ∧ s ⊆ U) fun U => U :=
⟨fun t => by simp [mem_nhdsSet_iff_exists, and_assoc]⟩
#align has_basis_nhds_set hasBasis_nhdsSet
@[simp]
lemma lift'_nhdsSet_interior (s : Set X) : (𝓝ˢ s).lift' interior = 𝓝ˢ s :=
(hasBasis_nhdsSet s).lift'_interior_eq_self fun _ ↦ And.left
lemma Filter.HasBasis.nhdsSet_interior {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {t : Set X}
(h : (𝓝ˢ t).HasBasis p s) : (𝓝ˢ t).HasBasis p (interior <| s ·) :=
lift'_nhdsSet_interior t ▸ h.lift'_interior
theorem IsOpen.mem_nhdsSet (hU : IsOpen s) : s ∈ 𝓝ˢ t ↔ t ⊆ s := by
rw [← subset_interior_iff_mem_nhdsSet, hU.interior_eq]
#align is_open.mem_nhds_set IsOpen.mem_nhdsSet
theorem IsOpen.mem_nhdsSet_self (ho : IsOpen s) : s ∈ 𝓝ˢ s := ho.mem_nhdsSet.mpr Subset.rfl
theorem principal_le_nhdsSet : 𝓟 s ≤ 𝓝ˢ s := fun _s hs =>
(subset_interior_iff_mem_nhdsSet.mpr hs).trans interior_subset
#align principal_le_nhds_set principal_le_nhdsSet
theorem subset_of_mem_nhdsSet (h : t ∈ 𝓝ˢ s) : s ⊆ t := principal_le_nhdsSet h
theorem Filter.Eventually.self_of_nhdsSet {p : X → Prop} (h : ∀ᶠ x in 𝓝ˢ s, p x) : ∀ x ∈ s, p x :=
principal_le_nhdsSet h
nonrec theorem Filter.EventuallyEq.self_of_nhdsSet {f g : X → Y} (h : f =ᶠ[𝓝ˢ s] g) : EqOn f g s :=
h.self_of_nhdsSet
@[simp]
| Mathlib/Topology/NhdsSet.lean | 110 | 112 | theorem nhdsSet_eq_principal_iff : 𝓝ˢ s = 𝓟 s ↔ IsOpen s := by |
rw [← principal_le_nhdsSet.le_iff_eq, le_principal_iff, mem_nhdsSet_iff_forall,
isOpen_iff_mem_nhds]
|
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.MvPolynomial.Degrees
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Data.Finsupp.Fin
import Mathlib.Logic.Equiv.Fin
#align_import data.mv_polynomial.equiv from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Polynomial Set Function Finsupp AddMonoidAlgebra
universe u v w x
variable {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
namespace MvPolynomial
variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {s : σ →₀ ℕ}
section Equiv
variable (R) [CommSemiring R]
@[simps]
def pUnitAlgEquiv : MvPolynomial PUnit R ≃ₐ[R] R[X] where
toFun := eval₂ Polynomial.C fun _ => Polynomial.X
invFun := Polynomial.eval₂ MvPolynomial.C (X PUnit.unit)
left_inv := by
let f : R[X] →+* MvPolynomial PUnit R := Polynomial.eval₂RingHom MvPolynomial.C (X PUnit.unit)
let g : MvPolynomial PUnit R →+* R[X] := eval₂Hom Polynomial.C fun _ => Polynomial.X
show ∀ p, f.comp g p = p
apply is_id
· ext a
dsimp [f, g]
rw [eval₂_C, Polynomial.eval₂_C]
· rintro ⟨⟩
dsimp [f, g]
rw [eval₂_X, Polynomial.eval₂_X]
right_inv p :=
Polynomial.induction_on p (fun a => by rw [Polynomial.eval₂_C, MvPolynomial.eval₂_C])
(fun p q hp hq => by rw [Polynomial.eval₂_add, MvPolynomial.eval₂_add, hp, hq]) fun p n _ => by
rw [Polynomial.eval₂_mul, Polynomial.eval₂_pow, Polynomial.eval₂_X, Polynomial.eval₂_C,
eval₂_mul, eval₂_C, eval₂_pow, eval₂_X]
map_mul' _ _ := eval₂_mul _ _
map_add' _ _ := eval₂_add _ _
commutes' _ := eval₂_C _ _ _
#align mv_polynomial.punit_alg_equiv MvPolynomial.pUnitAlgEquiv
section
variable (S₁ S₂ S₃)
def sumToIter : MvPolynomial (Sum S₁ S₂) R →+* MvPolynomial S₁ (MvPolynomial S₂ R) :=
eval₂Hom (C.comp C) fun bc => Sum.recOn bc X (C ∘ X)
#align mv_polynomial.sum_to_iter MvPolynomial.sumToIter
@[simp]
theorem sumToIter_C (a : R) : sumToIter R S₁ S₂ (C a) = C (C a) :=
eval₂_C _ _ a
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_C MvPolynomial.sumToIter_C
@[simp]
theorem sumToIter_Xl (b : S₁) : sumToIter R S₁ S₂ (X (Sum.inl b)) = X b :=
eval₂_X _ _ (Sum.inl b)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_Xl MvPolynomial.sumToIter_Xl
@[simp]
theorem sumToIter_Xr (c : S₂) : sumToIter R S₁ S₂ (X (Sum.inr c)) = C (X c) :=
eval₂_X _ _ (Sum.inr c)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_Xr MvPolynomial.sumToIter_Xr
def iterToSum : MvPolynomial S₁ (MvPolynomial S₂ R) →+* MvPolynomial (Sum S₁ S₂) R :=
eval₂Hom (eval₂Hom C (X ∘ Sum.inr)) (X ∘ Sum.inl)
#align mv_polynomial.iter_to_sum MvPolynomial.iterToSum
@[simp]
theorem iterToSum_C_C (a : R) : iterToSum R S₁ S₂ (C (C a)) = C a :=
Eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_C_C MvPolynomial.iterToSum_C_C
@[simp]
theorem iterToSum_X (b : S₁) : iterToSum R S₁ S₂ (X b) = X (Sum.inl b) :=
eval₂_X _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_X MvPolynomial.iterToSum_X
@[simp]
theorem iterToSum_C_X (c : S₂) : iterToSum R S₁ S₂ (C (X c)) = X (Sum.inr c) :=
Eq.trans (eval₂_C _ _ (X c)) (eval₂_X _ _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_C_X MvPolynomial.iterToSum_C_X
variable (σ)
@[simps!]
def isEmptyAlgEquiv [he : IsEmpty σ] : MvPolynomial σ R ≃ₐ[R] R :=
AlgEquiv.ofAlgHom (aeval (IsEmpty.elim he)) (Algebra.ofId _ _)
(by ext)
(by
ext i m
exact IsEmpty.elim' he i)
#align mv_polynomial.is_empty_alg_equiv MvPolynomial.isEmptyAlgEquiv
@[simps!]
def isEmptyRingEquiv [IsEmpty σ] : MvPolynomial σ R ≃+* R :=
(isEmptyAlgEquiv R σ).toRingEquiv
#align mv_polynomial.is_empty_ring_equiv MvPolynomial.isEmptyRingEquiv
variable {σ}
@[simps]
def mvPolynomialEquivMvPolynomial [CommSemiring S₃] (f : MvPolynomial S₁ R →+* MvPolynomial S₂ S₃)
(g : MvPolynomial S₂ S₃ →+* MvPolynomial S₁ R) (hfgC : (f.comp g).comp C = C)
(hfgX : ∀ n, f (g (X n)) = X n) (hgfC : (g.comp f).comp C = C) (hgfX : ∀ n, g (f (X n)) = X n) :
MvPolynomial S₁ R ≃+* MvPolynomial S₂ S₃ where
toFun := f
invFun := g
left_inv := is_id (RingHom.comp _ _) hgfC hgfX
right_inv := is_id (RingHom.comp _ _) hfgC hfgX
map_mul' := f.map_mul
map_add' := f.map_add
#align mv_polynomial.mv_polynomial_equiv_mv_polynomial MvPolynomial.mvPolynomialEquivMvPolynomial
def sumRingEquiv : MvPolynomial (Sum S₁ S₂) R ≃+* MvPolynomial S₁ (MvPolynomial S₂ R) := by
apply mvPolynomialEquivMvPolynomial R (Sum S₁ S₂) _ _ (sumToIter R S₁ S₂) (iterToSum R S₁ S₂)
· refine RingHom.ext (hom_eq_hom _ _ ?hC ?hX)
case hC => ext1; simp only [RingHom.comp_apply, iterToSum_C_C, sumToIter_C]
case hX => intro; simp only [RingHom.comp_apply, iterToSum_C_X, sumToIter_Xr]
· simp [iterToSum_X, sumToIter_Xl]
· ext1; simp only [RingHom.comp_apply, sumToIter_C, iterToSum_C_C]
· rintro ⟨⟩ <;> simp only [sumToIter_Xl, iterToSum_X, sumToIter_Xr, iterToSum_C_X]
#align mv_polynomial.sum_ring_equiv MvPolynomial.sumRingEquiv
@[simps!]
def sumAlgEquiv : MvPolynomial (Sum S₁ S₂) R ≃ₐ[R] MvPolynomial S₁ (MvPolynomial S₂ R) :=
{ sumRingEquiv R S₁ S₂ with
commutes' := by
intro r
have A : algebraMap R (MvPolynomial S₁ (MvPolynomial S₂ R)) r = (C (C r) : _) := rfl
have B : algebraMap R (MvPolynomial (Sum S₁ S₂) R) r = C r := rfl
simp only [sumRingEquiv, mvPolynomialEquivMvPolynomial, Equiv.toFun_as_coe,
Equiv.coe_fn_mk, B, sumToIter_C, A] }
#align mv_polynomial.sum_alg_equiv MvPolynomial.sumAlgEquiv
section
-- this speeds up typeclass search in the lemma below
attribute [local instance] IsScalarTower.right
@[simps!]
def optionEquivLeft : MvPolynomial (Option S₁) R ≃ₐ[R] Polynomial (MvPolynomial S₁ R) :=
AlgEquiv.ofAlgHom (MvPolynomial.aeval fun o => o.elim Polynomial.X fun s => Polynomial.C (X s))
(Polynomial.aevalTower (MvPolynomial.rename some) (X none))
(by ext : 2 <;> simp) (by ext i : 2; cases i <;> simp)
#align mv_polynomial.option_equiv_left MvPolynomial.optionEquivLeft
lemma optionEquivLeft_X_some (x : S₁) : optionEquivLeft R S₁ (X (some x)) = Polynomial.C (X x) := by
simp only [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_X_none : optionEquivLeft R S₁ (X none) = Polynomial.X := by
simp only [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_C (r : R) : optionEquivLeft R S₁ (C r) = Polynomial.C (C r) := by
simp only [optionEquivLeft_apply, aeval_C, Polynomial.algebraMap_apply, algebraMap_eq]
end
@[simps!]
def optionEquivRight : MvPolynomial (Option S₁) R ≃ₐ[R] MvPolynomial S₁ R[X] :=
AlgEquiv.ofAlgHom (MvPolynomial.aeval fun o => o.elim (C Polynomial.X) X)
(MvPolynomial.aevalTower (Polynomial.aeval (X none)) fun i => X (Option.some i))
(by
ext : 2 <;>
simp only [MvPolynomial.algebraMap_eq, Option.elim, AlgHom.coe_comp, AlgHom.id_comp,
IsScalarTower.coe_toAlgHom', comp_apply, aevalTower_C, Polynomial.aeval_X, aeval_X,
Option.elim', aevalTower_X, AlgHom.coe_id, id, eq_self_iff_true, imp_true_iff])
(by
ext ⟨i⟩ : 2 <;>
simp only [Option.elim, AlgHom.coe_comp, comp_apply, aeval_X, aevalTower_C,
Polynomial.aeval_X, AlgHom.coe_id, id, aevalTower_X])
#align mv_polynomial.option_equiv_right MvPolynomial.optionEquivRight
lemma optionEquivRight_X_some (x : S₁) : optionEquivRight R S₁ (X (some x)) = X x := by
simp only [optionEquivRight_apply, aeval_X]
lemma optionEquivRight_X_none : optionEquivRight R S₁ (X none) = C Polynomial.X := by
simp only [optionEquivRight_apply, aeval_X]
lemma optionEquivRight_C (r : R) : optionEquivRight R S₁ (C r) = C (Polynomial.C r) := by
simp only [optionEquivRight_apply, aeval_C, algebraMap_apply, Polynomial.algebraMap_eq]
variable (n : ℕ)
def finSuccEquiv : MvPolynomial (Fin (n + 1)) R ≃ₐ[R] Polynomial (MvPolynomial (Fin n) R) :=
(renameEquiv R (_root_.finSuccEquiv n)).trans (optionEquivLeft R (Fin n))
#align mv_polynomial.fin_succ_equiv MvPolynomial.finSuccEquiv
theorem finSuccEquiv_eq :
(finSuccEquiv R n : MvPolynomial (Fin (n + 1)) R →+* Polynomial (MvPolynomial (Fin n) R)) =
eval₂Hom (Polynomial.C.comp (C : R →+* MvPolynomial (Fin n) R)) fun i : Fin (n + 1) =>
Fin.cases Polynomial.X (fun k => Polynomial.C (X k)) i := by
ext i : 2
· simp only [finSuccEquiv, optionEquivLeft_apply, aeval_C, AlgEquiv.coe_trans, RingHom.coe_coe,
coe_eval₂Hom, comp_apply, renameEquiv_apply, eval₂_C, RingHom.coe_comp, rename_C]
rfl
· refine Fin.cases ?_ ?_ i <;> simp [finSuccEquiv]
#align mv_polynomial.fin_succ_equiv_eq MvPolynomial.finSuccEquiv_eq
@[simp]
theorem finSuccEquiv_apply (p : MvPolynomial (Fin (n + 1)) R) :
finSuccEquiv R n p =
eval₂Hom (Polynomial.C.comp (C : R →+* MvPolynomial (Fin n) R))
(fun i : Fin (n + 1) => Fin.cases Polynomial.X (fun k => Polynomial.C (X k)) i) p := by
rw [← finSuccEquiv_eq, RingHom.coe_coe]
#align mv_polynomial.fin_succ_equiv_apply MvPolynomial.finSuccEquiv_apply
theorem finSuccEquiv_comp_C_eq_C {R : Type u} [CommSemiring R] (n : ℕ) :
(↑(MvPolynomial.finSuccEquiv R n).symm : Polynomial (MvPolynomial (Fin n) R) →+* _).comp
(Polynomial.C.comp MvPolynomial.C) =
(MvPolynomial.C : R →+* MvPolynomial (Fin n.succ) R) := by
refine RingHom.ext fun x => ?_
rw [RingHom.comp_apply]
refine
(MvPolynomial.finSuccEquiv R n).injective
(Trans.trans ((MvPolynomial.finSuccEquiv R n).apply_symm_apply _) ?_)
simp only [MvPolynomial.finSuccEquiv_apply, MvPolynomial.eval₂Hom_C]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_comp_C_eq_C MvPolynomial.finSuccEquiv_comp_C_eq_C
variable {n} {R}
theorem finSuccEquiv_X_zero : finSuccEquiv R n (X 0) = Polynomial.X := by simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_X_zero MvPolynomial.finSuccEquiv_X_zero
theorem finSuccEquiv_X_succ {j : Fin n} : finSuccEquiv R n (X j.succ) = Polynomial.C (X j) := by
simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_X_succ MvPolynomial.finSuccEquiv_X_succ
theorem finSuccEquiv_coeff_coeff (m : Fin n →₀ ℕ) (f : MvPolynomial (Fin (n + 1)) R) (i : ℕ) :
coeff m (Polynomial.coeff (finSuccEquiv R n f) i) = coeff (m.cons i) f := by
induction' f using MvPolynomial.induction_on' with j r p q hp hq generalizing i m
swap
· simp only [(finSuccEquiv R n).map_add, Polynomial.coeff_add, coeff_add, hp, hq]
simp only [finSuccEquiv_apply, coe_eval₂Hom, eval₂_monomial, RingHom.coe_comp, prod_pow,
Polynomial.coeff_C_mul, coeff_C_mul, coeff_monomial, Fin.prod_univ_succ, Fin.cases_zero,
Fin.cases_succ, ← map_prod, ← RingHom.map_pow, Function.comp_apply]
rw [← mul_boole, mul_comm (Polynomial.X ^ j 0), Polynomial.coeff_C_mul_X_pow]; congr 1
obtain rfl | hjmi := eq_or_ne j (m.cons i)
· simpa only [cons_zero, cons_succ, if_pos rfl, monomial_eq, C_1, one_mul, prod_pow] using
coeff_monomial m m (1 : R)
· simp only [hjmi, if_false]
obtain hij | rfl := ne_or_eq i (j 0)
· simp only [hij, if_false, coeff_zero]
simp only [eq_self_iff_true, if_true]
have hmj : m ≠ j.tail := by
rintro rfl
rw [cons_tail] at hjmi
contradiction
simpa only [monomial_eq, C_1, one_mul, prod_pow, Finsupp.tail_apply, if_neg hmj.symm] using
coeff_monomial m j.tail (1 : R)
#align mv_polynomial.fin_succ_equiv_coeff_coeff MvPolynomial.finSuccEquiv_coeff_coeff
theorem eval_eq_eval_mv_eval' (s : Fin n → R) (y : R) (f : MvPolynomial (Fin (n + 1)) R) :
eval (Fin.cons y s : Fin (n + 1) → R) f =
Polynomial.eval y (Polynomial.map (eval s) (finSuccEquiv R n f)) := by
-- turn this into a def `Polynomial.mapAlgHom`
let φ : (MvPolynomial (Fin n) R)[X] →ₐ[R] R[X] :=
{ Polynomial.mapRingHom (eval s) with
commutes' := fun r => by
convert Polynomial.map_C (eval s)
exact (eval_C _).symm }
show
aeval (Fin.cons y s : Fin (n + 1) → R) f =
(Polynomial.aeval y).comp (φ.comp (finSuccEquiv R n).toAlgHom) f
congr 2
apply MvPolynomial.algHom_ext
rw [Fin.forall_fin_succ]
simp only [φ, aeval_X, Fin.cons_zero, AlgEquiv.toAlgHom_eq_coe, AlgHom.coe_comp,
Polynomial.coe_aeval_eq_eval, Polynomial.map_C, AlgHom.coe_mk, RingHom.toFun_eq_coe,
Polynomial.coe_mapRingHom, comp_apply, finSuccEquiv_apply, eval₂Hom_X',
Fin.cases_zero, Polynomial.map_X, Polynomial.eval_X, Fin.cons_succ,
Fin.cases_succ, eval_X, Polynomial.eval_C,
RingHom.coe_mk, MonoidHom.coe_coe, AlgHom.coe_coe, implies_true, and_self,
RingHom.toMonoidHom_eq_coe]
#align mv_polynomial.eval_eq_eval_mv_eval' MvPolynomial.eval_eq_eval_mv_eval'
theorem coeff_eval_eq_eval_coeff (s' : Fin n → R) (f : Polynomial (MvPolynomial (Fin n) R))
(i : ℕ) : Polynomial.coeff (Polynomial.map (eval s') f) i = eval s' (Polynomial.coeff f i) := by
simp only [Polynomial.coeff_map]
#align mv_polynomial.coeff_eval_eq_eval_coeff MvPolynomial.coeff_eval_eq_eval_coeff
theorem support_coeff_finSuccEquiv {f : MvPolynomial (Fin (n + 1)) R} {i : ℕ} {m : Fin n →₀ ℕ} :
m ∈ (Polynomial.coeff ((finSuccEquiv R n) f) i).support ↔ Finsupp.cons i m ∈ f.support := by
apply Iff.intro
· intro h
simpa [← finSuccEquiv_coeff_coeff] using h
· intro h
simpa [mem_support_iff, ← finSuccEquiv_coeff_coeff m f i] using h
#align mv_polynomial.support_coeff_fin_succ_equiv MvPolynomial.support_coeff_finSuccEquiv
lemma totalDegree_coeff_finSuccEquiv_add_le (f : MvPolynomial (Fin (n + 1)) R) (i : ℕ)
(hi : (finSuccEquiv R n f).coeff i ≠ 0) :
totalDegree ((finSuccEquiv R n f).coeff i) + i ≤ totalDegree f := by
have hf'_sup : ((finSuccEquiv R n f).coeff i).support.Nonempty := by
rw [Finset.nonempty_iff_ne_empty, ne_eq, support_eq_empty]
exact hi
-- Let σ be a monomial index of ((finSuccEquiv R n p).coeff i) of maximal total degree
have ⟨σ, hσ1, hσ2⟩ := Finset.exists_mem_eq_sup (support _) hf'_sup
(fun s => Finsupp.sum s fun _ e => e)
-- Then cons i σ is a monomial index of p with total degree equal to the desired bound
let σ' : Fin (n+1) →₀ ℕ := cons i σ
convert le_totalDegree (s := σ') _
· rw [totalDegree, hσ2, sum_cons, add_comm]
· rw [← support_coeff_finSuccEquiv]
exact hσ1
theorem finSuccEquiv_support (f : MvPolynomial (Fin (n + 1)) R) :
(finSuccEquiv R n f).support = Finset.image (fun m : Fin (n + 1) →₀ ℕ => m 0) f.support := by
ext i
rw [Polynomial.mem_support_iff, Finset.mem_image, Finsupp.ne_iff]
constructor
· rintro ⟨m, hm⟩
refine ⟨cons i m, ?_, cons_zero _ _⟩
rw [← support_coeff_finSuccEquiv]
simpa using hm
· rintro ⟨m, h, rfl⟩
refine ⟨tail m, ?_⟩
rwa [← coeff, zero_apply, ← mem_support_iff, support_coeff_finSuccEquiv, cons_tail]
#align mv_polynomial.fin_succ_equiv_support MvPolynomial.finSuccEquiv_support
theorem finSuccEquiv_support' {f : MvPolynomial (Fin (n + 1)) R} {i : ℕ} :
Finset.image (Finsupp.cons i) (Polynomial.coeff ((finSuccEquiv R n) f) i).support =
f.support.filter fun m => m 0 = i := by
ext m
rw [Finset.mem_filter, Finset.mem_image, mem_support_iff]
conv_lhs =>
congr
ext
rw [mem_support_iff, finSuccEquiv_coeff_coeff, Ne]
constructor
· rintro ⟨m', ⟨h, hm'⟩⟩
simp only [← hm']
exact ⟨h, by rw [cons_zero]⟩
· intro h
use tail m
rw [← h.2, cons_tail]
simp [h.1]
#align mv_polynomial.fin_succ_equiv_support' MvPolynomial.finSuccEquiv_support'
-- TODO: generalize `finSuccEquiv R n` to an arbitrary ZeroHom
theorem support_finSuccEquiv_nonempty {f : MvPolynomial (Fin (n + 1)) R} (h : f ≠ 0) :
(finSuccEquiv R n f).support.Nonempty := by
rwa [Polynomial.support_nonempty, AddEquivClass.map_ne_zero_iff]
#align mv_polynomial.support_fin_succ_equiv_nonempty MvPolynomial.support_finSuccEquiv_nonempty
theorem degree_finSuccEquiv {f : MvPolynomial (Fin (n + 1)) R} (h : f ≠ 0) :
(finSuccEquiv R n f).degree = degreeOf 0 f := by
-- TODO: these should be lemmas
have h₀ : ∀ {α β : Type _} (f : α → β), (fun x => x) ∘ f = f := fun f => rfl
have h₁ : ∀ {α β : Type _} (f : α → β), f ∘ (fun x => x) = f := fun f => rfl
have h₂ : WithBot.some = Nat.cast := rfl
have h' : ((finSuccEquiv R n f).support.sup fun x => x) = degreeOf 0 f := by
rw [degreeOf_eq_sup, finSuccEquiv_support f, Finset.sup_image, h₀]
rw [Polynomial.degree, ← h', ← h₂, Finset.coe_sup_of_nonempty (support_finSuccEquiv_nonempty h),
Finset.max_eq_sup_coe, h₁]
#align mv_polynomial.degree_fin_succ_equiv MvPolynomial.degree_finSuccEquiv
theorem natDegree_finSuccEquiv (f : MvPolynomial (Fin (n + 1)) R) :
(finSuccEquiv R n f).natDegree = degreeOf 0 f := by
by_cases c : f = 0
· rw [c, (finSuccEquiv R n).map_zero, Polynomial.natDegree_zero, degreeOf_zero]
· rw [Polynomial.natDegree, degree_finSuccEquiv (by simpa only [Ne] )]
erw [WithBot.unbot'_coe]
simp
#align mv_polynomial.nat_degree_fin_succ_equiv MvPolynomial.natDegree_finSuccEquiv
| Mathlib/Algebra/MvPolynomial/Equiv.lean | 527 | 534 | theorem degreeOf_coeff_finSuccEquiv (p : MvPolynomial (Fin (n + 1)) R) (j : Fin n) (i : ℕ) :
degreeOf j (Polynomial.coeff (finSuccEquiv R n p) i) ≤ degreeOf j.succ p := by |
rw [degreeOf_eq_sup, degreeOf_eq_sup, Finset.sup_le_iff]
intro m hm
rw [← Finsupp.cons_succ j i m]
exact Finset.le_sup
(f := fun (g : Fin (Nat.succ n) →₀ ℕ) => g (Fin.succ j))
(support_coeff_finSuccEquiv.1 hm)
|
import Mathlib.CategoryTheory.Limits.KanExtension
import Mathlib.Topology.Category.TopCat.Opens
import Mathlib.CategoryTheory.Adjunction.Unique
import Mathlib.Topology.Sheaves.Init
import Mathlib.Data.Set.Subsingleton
#align_import topology.sheaves.presheaf from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
set_option autoImplicit true
universe w v u
open CategoryTheory TopologicalSpace Opposite
variable (C : Type u) [Category.{v} C]
namespace TopCat
-- Porting note(#5171): was @[nolint has_nonempty_instance]
def Presheaf (X : TopCat.{w}) : Type max u v w :=
(Opens X)ᵒᵖ ⥤ C
set_option linter.uppercaseLean3 false in
#align Top.presheaf TopCat.Presheaf
instance (X : TopCat.{w}) : Category (Presheaf.{w, v, u} C X) :=
inferInstanceAs (Category ((Opens X)ᵒᵖ ⥤ C : Type max u v w))
variable {C}
namespace Presheaf
@[simp] theorem comp_app {P Q R : Presheaf C X} (f : P ⟶ Q) (g : Q ⟶ R) :
(f ≫ g).app U = f.app U ≫ g.app U := rfl
-- Porting note (#10756): added an `ext` lemma,
-- since `NatTrans.ext` can not see through the definition of `Presheaf`.
-- See https://github.com/leanprover-community/mathlib4/issues/5229
@[ext]
lemma ext {P Q : Presheaf C X} {f g : P ⟶ Q} (w : ∀ U : Opens X, f.app (op U) = g.app (op U)) :
f = g := by
apply NatTrans.ext
ext U
induction U with | _ U => ?_
apply w
attribute [local instance] CategoryTheory.ConcreteCategory.hasCoeToSort
CategoryTheory.ConcreteCategory.instFunLike
macro "sheaf_restrict" : attr =>
`(attr|aesop safe 50 apply (rule_sets := [$(Lean.mkIdent `Restrict):ident]))
attribute [sheaf_restrict] bot_le le_top le_refl inf_le_left inf_le_right
le_sup_left le_sup_right
macro (name := restrict_tac) "restrict_tac" c:Aesop.tactic_clause* : tactic =>
`(tactic| first | assumption |
aesop $c*
(config := { terminal := true
assumptionTransparency := .reducible
enableSimp := false })
(rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident]))
macro (name := restrict_tac?) "restrict_tac?" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop? $c*
(config := { terminal := true
assumptionTransparency := .reducible
enableSimp := false
maxRuleApplications := 300 })
(rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident]))
attribute[aesop 10% (rule_sets := [Restrict])] le_trans
attribute[aesop safe destruct (rule_sets := [Restrict])] Eq.trans_le
attribute[aesop safe -50 (rule_sets := [Restrict])] Aesop.BuiltinRules.assumption
example {X} [CompleteLattice X] (v : Nat → X) (w x y z : X) (e : v 0 = v 1) (_ : v 1 = v 2)
(h₀ : v 1 ≤ x) (_ : x ≤ z ⊓ w) (h₂ : x ≤ y ⊓ z) : v 0 ≤ y := by
restrict_tac
def restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C}
{V : Opens X} (x : F.obj (op V)) {U : Opens X} (h : U ⟶ V) : F.obj (op U) :=
F.map h.op x
set_option linter.uppercaseLean3 false in
#align Top.presheaf.restrict TopCat.Presheaf.restrict
scoped[AlgebraicGeometry] infixl:80 " |_ₕ " => TopCat.Presheaf.restrict
scoped[AlgebraicGeometry] notation:80 x " |_ₗ " U " ⟪" e "⟫ " =>
@TopCat.Presheaf.restrict _ _ _ _ _ _ x U (@homOfLE (Opens _) _ U _ e)
open AlgebraicGeometry
abbrev restrictOpen {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C}
{V : Opens X} (x : F.obj (op V)) (U : Opens X)
(e : U ≤ V := by restrict_tac) :
F.obj (op U) :=
x |_ₗ U ⟪e⟫
set_option linter.uppercaseLean3 false in
#align Top.presheaf.restrict_open TopCat.Presheaf.restrictOpen
scoped[AlgebraicGeometry] infixl:80 " |_ " => TopCat.Presheaf.restrictOpen
-- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence
-- `@[simp]` is removed
theorem restrict_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C]
{F : X.Presheaf C} {U V W : Opens X} (e₁ : U ≤ V) (e₂ : V ≤ W) (x : F.obj (op W)) :
x |_ V |_ U = x |_ U := by
delta restrictOpen restrict
rw [← comp_apply, ← Functor.map_comp]
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.restrict_restrict TopCat.Presheaf.restrict_restrict
-- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence
-- `@[simp]` is removed
theorem map_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C]
{F G : X.Presheaf C} (e : F ⟶ G) {U V : Opens X} (h : U ≤ V) (x : F.obj (op V)) :
e.app _ (x |_ U) = e.app _ x |_ U := by
delta restrictOpen restrict
rw [← comp_apply, NatTrans.naturality, comp_apply]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.map_restrict TopCat.Presheaf.map_restrict
def pushforwardObj {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) : Y.Presheaf C :=
(Opens.map f).op ⋙ ℱ
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_obj TopCat.Presheaf.pushforwardObj
infixl:80 " _* " => pushforwardObj
@[simp]
theorem pushforwardObj_obj {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) (U : (Opens Y)ᵒᵖ) :
(f _* ℱ).obj U = ℱ.obj ((Opens.map f).op.obj U) :=
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_obj_obj TopCat.Presheaf.pushforwardObj_obj
@[simp]
theorem pushforwardObj_map {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) {U V : (Opens Y)ᵒᵖ}
(i : U ⟶ V) : (f _* ℱ).map i = ℱ.map ((Opens.map f).op.map i) :=
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_obj_map TopCat.Presheaf.pushforwardObj_map
def pushforwardEq {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C) :
f _* ℱ ≅ g _* ℱ :=
isoWhiskerRight (NatIso.op (Opens.mapIso f g h).symm) ℱ
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq TopCat.Presheaf.pushforwardEq
theorem pushforward_eq' {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C) :
f _* ℱ = g _* ℱ := by rw [h]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq' TopCat.Presheaf.pushforward_eq'
@[simp]
| Mathlib/Topology/Sheaves/Presheaf.lean | 202 | 206 | theorem pushforwardEq_hom_app {X Y : TopCat.{w}} {f g : X ⟶ Y}
(h : f = g) (ℱ : X.Presheaf C) (U) :
(pushforwardEq h ℱ).hom.app U =
ℱ.map (by dsimp [Functor.op]; apply Quiver.Hom.op; apply eqToHom; rw [h]) := by |
simp [pushforwardEq]
|
import Mathlib.Data.Set.Image
#align_import data.nat.set from "leanprover-community/mathlib"@"cf9386b56953fb40904843af98b7a80757bbe7f9"
namespace Nat
section Set
open Set
theorem zero_union_range_succ : {0} ∪ range succ = univ := by
ext n
cases n <;> simp
#align nat.zero_union_range_succ Nat.zero_union_range_succ
@[simp]
protected theorem range_succ : range succ = { i | 0 < i } := by
ext (_ | i) <;> simp [succ_pos, succ_ne_zero, Set.mem_setOf]
#align nat.range_succ Nat.range_succ
variable {α : Type*}
theorem range_of_succ (f : ℕ → α) : {f 0} ∪ range (f ∘ succ) = range f := by
rw [← image_singleton, range_comp, ← image_union, zero_union_range_succ, image_univ]
#align nat.range_of_succ Nat.range_of_succ
| Mathlib/Data/Nat/Set.lean | 37 | 46 | theorem range_rec {α : Type*} (x : α) (f : ℕ → α → α) :
(Set.range fun n => Nat.rec x f n : Set α) =
{x} ∪ Set.range fun n => Nat.rec (f 0 x) (f ∘ succ) n := by |
convert (range_of_succ (fun n => Nat.rec x f n : ℕ → α)).symm using 4
dsimp
rename_i n
induction' n with n ihn
· rfl
· dsimp at ihn ⊢
rw [ihn]
|
import Mathlib.CategoryTheory.Subobject.MonoOver
import Mathlib.CategoryTheory.Skeletal
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.Tactic.ApplyFun
import Mathlib.Tactic.CategoryTheory.Elementwise
#align_import category_theory.subobject.basic from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe v₁ v₂ u₁ u₂
noncomputable section
namespace CategoryTheory
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
variable {C : Type u₁} [Category.{v₁} C] {X Y Z : C}
variable {D : Type u₂} [Category.{v₂} D]
def Subobject (X : C) :=
ThinSkeleton (MonoOver X)
#align category_theory.subobject CategoryTheory.Subobject
instance (X : C) : PartialOrder (Subobject X) := by
dsimp only [Subobject]
infer_instance
namespace Subobject
-- Porting note: made it a def rather than an abbreviation
-- because Lean would make it too transparent
def mk {X A : C} (f : A ⟶ X) [Mono f] : Subobject X :=
(toThinSkeleton _).obj (MonoOver.mk' f)
#align category_theory.subobject.mk CategoryTheory.Subobject.mk
section
attribute [local ext] CategoryTheory.Comma
protected theorem ind {X : C} (p : Subobject X → Prop)
(h : ∀ ⦃A : C⦄ (f : A ⟶ X) [Mono f], p (Subobject.mk f)) (P : Subobject X) : p P := by
apply Quotient.inductionOn'
intro a
exact h a.arrow
#align category_theory.subobject.ind CategoryTheory.Subobject.ind
protected theorem ind₂ {X : C} (p : Subobject X → Subobject X → Prop)
(h : ∀ ⦃A B : C⦄ (f : A ⟶ X) (g : B ⟶ X) [Mono f] [Mono g],
p (Subobject.mk f) (Subobject.mk g))
(P Q : Subobject X) : p P Q := by
apply Quotient.inductionOn₂'
intro a b
exact h a.arrow b.arrow
#align category_theory.subobject.ind₂ CategoryTheory.Subobject.ind₂
end
protected def lift {α : Sort*} {X : C} (F : ∀ ⦃A : C⦄ (f : A ⟶ X) [Mono f], α)
(h :
∀ ⦃A B : C⦄ (f : A ⟶ X) (g : B ⟶ X) [Mono f] [Mono g] (i : A ≅ B),
i.hom ≫ g = f → F f = F g) :
Subobject X → α := fun P =>
Quotient.liftOn' P (fun m => F m.arrow) fun m n ⟨i⟩ =>
h m.arrow n.arrow ((MonoOver.forget X ⋙ Over.forget X).mapIso i) (Over.w i.hom)
#align category_theory.subobject.lift CategoryTheory.Subobject.lift
@[simp]
protected theorem lift_mk {α : Sort*} {X : C} (F : ∀ ⦃A : C⦄ (f : A ⟶ X) [Mono f], α) {h A}
(f : A ⟶ X) [Mono f] : Subobject.lift F h (Subobject.mk f) = F f :=
rfl
#align category_theory.subobject.lift_mk CategoryTheory.Subobject.lift_mk
noncomputable def equivMonoOver (X : C) : Subobject X ≌ MonoOver X :=
ThinSkeleton.equivalence _
#align category_theory.subobject.equiv_mono_over CategoryTheory.Subobject.equivMonoOver
noncomputable def representative {X : C} : Subobject X ⥤ MonoOver X :=
(equivMonoOver X).functor
#align category_theory.subobject.representative CategoryTheory.Subobject.representative
noncomputable def representativeIso {X : C} (A : MonoOver X) :
representative.obj ((toThinSkeleton _).obj A) ≅ A :=
(equivMonoOver X).counitIso.app A
#align category_theory.subobject.representative_iso CategoryTheory.Subobject.representativeIso
noncomputable def underlying {X : C} : Subobject X ⥤ C :=
representative ⋙ MonoOver.forget _ ⋙ Over.forget _
#align category_theory.subobject.underlying CategoryTheory.Subobject.underlying
instance : CoeOut (Subobject X) C where coe Y := underlying.obj Y
-- Porting note: removed as it has become a syntactic tautology
-- @[simp]
-- theorem underlying_as_coe {X : C} (P : Subobject X) : underlying.obj P = P :=
-- rfl
-- #align category_theory.subobject.underlying_as_coe CategoryTheory.Subobject.underlying_as_coe
noncomputable def underlyingIso {X Y : C} (f : X ⟶ Y) [Mono f] : (Subobject.mk f : C) ≅ X :=
(MonoOver.forget _ ⋙ Over.forget _).mapIso (representativeIso (MonoOver.mk' f))
#align category_theory.subobject.underlying_iso CategoryTheory.Subobject.underlyingIso
noncomputable def arrow {X : C} (Y : Subobject X) : (Y : C) ⟶ X :=
(representative.obj Y).obj.hom
#align category_theory.subobject.arrow CategoryTheory.Subobject.arrow
instance arrow_mono {X : C} (Y : Subobject X) : Mono Y.arrow :=
(representative.obj Y).property
#align category_theory.subobject.arrow_mono CategoryTheory.Subobject.arrow_mono
@[simp]
theorem arrow_congr {A : C} (X Y : Subobject A) (h : X = Y) :
eqToHom (congr_arg (fun X : Subobject A => (X : C)) h) ≫ Y.arrow = X.arrow := by
induction h
simp
#align category_theory.subobject.arrow_congr CategoryTheory.Subobject.arrow_congr
@[simp]
theorem representative_coe (Y : Subobject X) : (representative.obj Y : C) = (Y : C) :=
rfl
#align category_theory.subobject.representative_coe CategoryTheory.Subobject.representative_coe
@[simp]
theorem representative_arrow (Y : Subobject X) : (representative.obj Y).arrow = Y.arrow :=
rfl
#align category_theory.subobject.representative_arrow CategoryTheory.Subobject.representative_arrow
@[reassoc (attr := simp)]
theorem underlying_arrow {X : C} {Y Z : Subobject X} (f : Y ⟶ Z) :
underlying.map f ≫ arrow Z = arrow Y :=
Over.w (representative.map f)
#align category_theory.subobject.underlying_arrow CategoryTheory.Subobject.underlying_arrow
@[reassoc (attr := simp), elementwise (attr := simp)]
theorem underlyingIso_arrow {X Y : C} (f : X ⟶ Y) [Mono f] :
(underlyingIso f).inv ≫ (Subobject.mk f).arrow = f :=
Over.w _
#align category_theory.subobject.underlying_iso_arrow CategoryTheory.Subobject.underlyingIso_arrow
@[reassoc (attr := simp)]
theorem underlyingIso_hom_comp_eq_mk {X Y : C} (f : X ⟶ Y) [Mono f] :
(underlyingIso f).hom ≫ f = (mk f).arrow :=
(Iso.eq_inv_comp _).1 (underlyingIso_arrow f).symm
#align category_theory.subobject.underlying_iso_hom_comp_eq_mk CategoryTheory.Subobject.underlyingIso_hom_comp_eq_mk
@[ext]
theorem eq_of_comp_arrow_eq {X Y : C} {P : Subobject Y} {f g : X ⟶ P}
(h : f ≫ P.arrow = g ≫ P.arrow) : f = g :=
(cancel_mono P.arrow).mp h
#align category_theory.subobject.eq_of_comp_arrow_eq CategoryTheory.Subobject.eq_of_comp_arrow_eq
theorem mk_le_mk_of_comm {B A₁ A₂ : C} {f₁ : A₁ ⟶ B} {f₂ : A₂ ⟶ B} [Mono f₁] [Mono f₂] (g : A₁ ⟶ A₂)
(w : g ≫ f₂ = f₁) : mk f₁ ≤ mk f₂ :=
⟨MonoOver.homMk _ w⟩
#align category_theory.subobject.mk_le_mk_of_comm CategoryTheory.Subobject.mk_le_mk_of_comm
@[simp]
theorem mk_arrow (P : Subobject X) : mk P.arrow = P :=
Quotient.inductionOn' P fun Q => by
obtain ⟨e⟩ := @Quotient.mk_out' _ (isIsomorphicSetoid _) Q
exact Quotient.sound' ⟨MonoOver.isoMk (Iso.refl _) ≪≫ e⟩
#align category_theory.subobject.mk_arrow CategoryTheory.Subobject.mk_arrow
theorem le_of_comm {B : C} {X Y : Subobject B} (f : (X : C) ⟶ (Y : C)) (w : f ≫ Y.arrow = X.arrow) :
X ≤ Y := by
convert mk_le_mk_of_comm _ w <;> simp
#align category_theory.subobject.le_of_comm CategoryTheory.Subobject.le_of_comm
theorem le_mk_of_comm {B A : C} {X : Subobject B} {f : A ⟶ B} [Mono f] (g : (X : C) ⟶ A)
(w : g ≫ f = X.arrow) : X ≤ mk f :=
le_of_comm (g ≫ (underlyingIso f).inv) <| by simp [w]
#align category_theory.subobject.le_mk_of_comm CategoryTheory.Subobject.le_mk_of_comm
theorem mk_le_of_comm {B A : C} {X : Subobject B} {f : A ⟶ B} [Mono f] (g : A ⟶ (X : C))
(w : g ≫ X.arrow = f) : mk f ≤ X :=
le_of_comm ((underlyingIso f).hom ≫ g) <| by simp [w]
#align category_theory.subobject.mk_le_of_comm CategoryTheory.Subobject.mk_le_of_comm
@[ext]
theorem eq_of_comm {B : C} {X Y : Subobject B} (f : (X : C) ≅ (Y : C))
(w : f.hom ≫ Y.arrow = X.arrow) : X = Y :=
le_antisymm (le_of_comm f.hom w) <| le_of_comm f.inv <| f.inv_comp_eq.2 w.symm
#align category_theory.subobject.eq_of_comm CategoryTheory.Subobject.eq_of_comm
-- Porting note (#11182): removed @[ext]
theorem eq_mk_of_comm {B A : C} {X : Subobject B} (f : A ⟶ B) [Mono f] (i : (X : C) ≅ A)
(w : i.hom ≫ f = X.arrow) : X = mk f :=
eq_of_comm (i.trans (underlyingIso f).symm) <| by simp [w]
#align category_theory.subobject.eq_mk_of_comm CategoryTheory.Subobject.eq_mk_of_comm
-- Porting note (#11182): removed @[ext]
theorem mk_eq_of_comm {B A : C} {X : Subobject B} (f : A ⟶ B) [Mono f] (i : A ≅ (X : C))
(w : i.hom ≫ X.arrow = f) : mk f = X :=
Eq.symm <| eq_mk_of_comm _ i.symm <| by rw [Iso.symm_hom, Iso.inv_comp_eq, w]
#align category_theory.subobject.mk_eq_of_comm CategoryTheory.Subobject.mk_eq_of_comm
-- Porting note (#11182): removed @[ext]
theorem mk_eq_mk_of_comm {B A₁ A₂ : C} (f : A₁ ⟶ B) (g : A₂ ⟶ B) [Mono f] [Mono g] (i : A₁ ≅ A₂)
(w : i.hom ≫ g = f) : mk f = mk g :=
eq_mk_of_comm _ ((underlyingIso f).trans i) <| by simp [w]
#align category_theory.subobject.mk_eq_mk_of_comm CategoryTheory.Subobject.mk_eq_mk_of_comm
-- We make `X` and `Y` explicit arguments here so that when `ofLE` appears in goal statements
-- it is possible to see its source and target
-- (`h` will just display as `_`, because it is in `Prop`).
def ofLE {B : C} (X Y : Subobject B) (h : X ≤ Y) : (X : C) ⟶ (Y : C) :=
underlying.map <| h.hom
#align category_theory.subobject.of_le CategoryTheory.Subobject.ofLE
@[reassoc (attr := simp)]
theorem ofLE_arrow {B : C} {X Y : Subobject B} (h : X ≤ Y) : ofLE X Y h ≫ Y.arrow = X.arrow :=
underlying_arrow _
#align category_theory.subobject.of_le_arrow CategoryTheory.Subobject.ofLE_arrow
instance {B : C} (X Y : Subobject B) (h : X ≤ Y) : Mono (ofLE X Y h) := by
fconstructor
intro Z f g w
replace w := w =≫ Y.arrow
ext
simpa using w
theorem ofLE_mk_le_mk_of_comm {B A₁ A₂ : C} {f₁ : A₁ ⟶ B} {f₂ : A₂ ⟶ B} [Mono f₁] [Mono f₂]
(g : A₁ ⟶ A₂) (w : g ≫ f₂ = f₁) :
ofLE _ _ (mk_le_mk_of_comm g w) = (underlyingIso _).hom ≫ g ≫ (underlyingIso _).inv := by
ext
simp [w]
#align category_theory.subobject.of_le_mk_le_mk_of_comm CategoryTheory.Subobject.ofLE_mk_le_mk_of_comm
def ofLEMk {B A : C} (X : Subobject B) (f : A ⟶ B) [Mono f] (h : X ≤ mk f) : (X : C) ⟶ A :=
ofLE X (mk f) h ≫ (underlyingIso f).hom
#align category_theory.subobject.of_le_mk CategoryTheory.Subobject.ofLEMk
instance {B A : C} (X : Subobject B) (f : A ⟶ B) [Mono f] (h : X ≤ mk f) :
Mono (ofLEMk X f h) := by
dsimp only [ofLEMk]
infer_instance
@[simp]
theorem ofLEMk_comp {B A : C} {X : Subobject B} {f : A ⟶ B} [Mono f] (h : X ≤ mk f) :
ofLEMk X f h ≫ f = X.arrow := by simp [ofLEMk]
#align category_theory.subobject.of_le_mk_comp CategoryTheory.Subobject.ofLEMk_comp
def ofMkLE {B A : C} (f : A ⟶ B) [Mono f] (X : Subobject B) (h : mk f ≤ X) : A ⟶ (X : C) :=
(underlyingIso f).inv ≫ ofLE (mk f) X h
#align category_theory.subobject.of_mk_le CategoryTheory.Subobject.ofMkLE
instance {B A : C} (f : A ⟶ B) [Mono f] (X : Subobject B) (h : mk f ≤ X) :
Mono (ofMkLE f X h) := by
dsimp only [ofMkLE]
infer_instance
@[simp]
theorem ofMkLE_arrow {B A : C} {f : A ⟶ B} [Mono f] {X : Subobject B} (h : mk f ≤ X) :
ofMkLE f X h ≫ X.arrow = f := by simp [ofMkLE]
#align category_theory.subobject.of_mk_le_arrow CategoryTheory.Subobject.ofMkLE_arrow
def ofMkLEMk {B A₁ A₂ : C} (f : A₁ ⟶ B) (g : A₂ ⟶ B) [Mono f] [Mono g] (h : mk f ≤ mk g) :
A₁ ⟶ A₂ :=
(underlyingIso f).inv ≫ ofLE (mk f) (mk g) h ≫ (underlyingIso g).hom
#align category_theory.subobject.of_mk_le_mk CategoryTheory.Subobject.ofMkLEMk
instance {B A₁ A₂ : C} (f : A₁ ⟶ B) (g : A₂ ⟶ B) [Mono f] [Mono g] (h : mk f ≤ mk g) :
Mono (ofMkLEMk f g h) := by
dsimp only [ofMkLEMk]
infer_instance
@[simp]
theorem ofMkLEMk_comp {B A₁ A₂ : C} {f : A₁ ⟶ B} {g : A₂ ⟶ B} [Mono f] [Mono g] (h : mk f ≤ mk g) :
ofMkLEMk f g h ≫ g = f := by simp [ofMkLEMk]
#align category_theory.subobject.of_mk_le_mk_comp CategoryTheory.Subobject.ofMkLEMk_comp
@[reassoc (attr := simp)]
theorem ofLE_comp_ofLE {B : C} (X Y Z : Subobject B) (h₁ : X ≤ Y) (h₂ : Y ≤ Z) :
ofLE X Y h₁ ≫ ofLE Y Z h₂ = ofLE X Z (h₁.trans h₂) := by
simp only [ofLE, ← Functor.map_comp underlying]
congr 1
#align category_theory.subobject.of_le_comp_of_le CategoryTheory.Subobject.ofLE_comp_ofLE
@[reassoc (attr := simp)]
theorem ofLE_comp_ofLEMk {B A : C} (X Y : Subobject B) (f : A ⟶ B) [Mono f] (h₁ : X ≤ Y)
(h₂ : Y ≤ mk f) : ofLE X Y h₁ ≫ ofLEMk Y f h₂ = ofLEMk X f (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ← Functor.map_comp_assoc underlying]
congr 1
#align category_theory.subobject.of_le_comp_of_le_mk CategoryTheory.Subobject.ofLE_comp_ofLEMk
@[reassoc (attr := simp)]
theorem ofLEMk_comp_ofMkLE {B A : C} (X : Subobject B) (f : A ⟶ B) [Mono f] (Y : Subobject B)
(h₁ : X ≤ mk f) (h₂ : mk f ≤ Y) : ofLEMk X f h₁ ≫ ofMkLE f Y h₂ = ofLE X Y (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ← Functor.map_comp underlying, assoc, Iso.hom_inv_id_assoc]
congr 1
#align category_theory.subobject.of_le_mk_comp_of_mk_le CategoryTheory.Subobject.ofLEMk_comp_ofMkLE
@[reassoc (attr := simp)]
theorem ofLEMk_comp_ofMkLEMk {B A₁ A₂ : C} (X : Subobject B) (f : A₁ ⟶ B) [Mono f] (g : A₂ ⟶ B)
[Mono g] (h₁ : X ≤ mk f) (h₂ : mk f ≤ mk g) :
ofLEMk X f h₁ ≫ ofMkLEMk f g h₂ = ofLEMk X g (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ofMkLEMk, ← Functor.map_comp_assoc underlying,
assoc, Iso.hom_inv_id_assoc]
congr 1
#align category_theory.subobject.of_le_mk_comp_of_mk_le_mk CategoryTheory.Subobject.ofLEMk_comp_ofMkLEMk
@[reassoc (attr := simp)]
theorem ofMkLE_comp_ofLE {B A₁ : C} (f : A₁ ⟶ B) [Mono f] (X Y : Subobject B) (h₁ : mk f ≤ X)
(h₂ : X ≤ Y) : ofMkLE f X h₁ ≫ ofLE X Y h₂ = ofMkLE f Y (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ofMkLEMk, ← Functor.map_comp underlying,
assoc]
congr 1
#align category_theory.subobject.of_mk_le_comp_of_le CategoryTheory.Subobject.ofMkLE_comp_ofLE
@[reassoc (attr := simp)]
theorem ofMkLE_comp_ofLEMk {B A₁ A₂ : C} (f : A₁ ⟶ B) [Mono f] (X : Subobject B) (g : A₂ ⟶ B)
[Mono g] (h₁ : mk f ≤ X) (h₂ : X ≤ mk g) :
ofMkLE f X h₁ ≫ ofLEMk X g h₂ = ofMkLEMk f g (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ofMkLEMk, ← Functor.map_comp_assoc underlying, assoc]
congr 1
#align category_theory.subobject.of_mk_le_comp_of_le_mk CategoryTheory.Subobject.ofMkLE_comp_ofLEMk
@[reassoc (attr := simp)]
theorem ofMkLEMk_comp_ofMkLE {B A₁ A₂ : C} (f : A₁ ⟶ B) [Mono f] (g : A₂ ⟶ B) [Mono g]
(X : Subobject B) (h₁ : mk f ≤ mk g) (h₂ : mk g ≤ X) :
ofMkLEMk f g h₁ ≫ ofMkLE g X h₂ = ofMkLE f X (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ofMkLEMk, ← Functor.map_comp underlying,
assoc, Iso.hom_inv_id_assoc]
congr 1
#align category_theory.subobject.of_mk_le_mk_comp_of_mk_le CategoryTheory.Subobject.ofMkLEMk_comp_ofMkLE
@[reassoc (attr := simp)]
theorem ofMkLEMk_comp_ofMkLEMk {B A₁ A₂ A₃ : C} (f : A₁ ⟶ B) [Mono f] (g : A₂ ⟶ B) [Mono g]
(h : A₃ ⟶ B) [Mono h] (h₁ : mk f ≤ mk g) (h₂ : mk g ≤ mk h) :
ofMkLEMk f g h₁ ≫ ofMkLEMk g h h₂ = ofMkLEMk f h (h₁.trans h₂) := by
simp only [ofMkLE, ofLEMk, ofLE, ofMkLEMk, ← Functor.map_comp_assoc underlying, assoc,
Iso.hom_inv_id_assoc]
congr 1
#align category_theory.subobject.of_mk_le_mk_comp_of_mk_le_mk CategoryTheory.Subobject.ofMkLEMk_comp_ofMkLEMk
@[simp]
theorem ofLE_refl {B : C} (X : Subobject B) : ofLE X X le_rfl = 𝟙 _ := by
apply (cancel_mono X.arrow).mp
simp
#align category_theory.subobject.of_le_refl CategoryTheory.Subobject.ofLE_refl
@[simp]
| Mathlib/CategoryTheory/Subobject/Basic.lean | 455 | 457 | theorem ofMkLEMk_refl {B A₁ : C} (f : A₁ ⟶ B) [Mono f] : ofMkLEMk f f le_rfl = 𝟙 _ := by |
apply (cancel_mono f).mp
simp
|
import Mathlib.Analysis.Complex.UpperHalfPlane.Topology
import Mathlib.Analysis.SpecialFunctions.Arsinh
import Mathlib.Geometry.Euclidean.Inversion.Basic
#align_import analysis.complex.upper_half_plane.metric from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c"
noncomputable section
open scoped UpperHalfPlane ComplexConjugate NNReal Topology MatrixGroups
open Set Metric Filter Real
variable {z w : ℍ} {r R : ℝ}
namespace UpperHalfPlane
instance : Dist ℍ :=
⟨fun z w => 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im)))⟩
theorem dist_eq (z w : ℍ) : dist z w = 2 * arsinh (dist (z : ℂ) w / (2 * √(z.im * w.im))) :=
rfl
#align upper_half_plane.dist_eq UpperHalfPlane.dist_eq
theorem sinh_half_dist (z w : ℍ) :
sinh (dist z w / 2) = dist (z : ℂ) w / (2 * √(z.im * w.im)) := by
rw [dist_eq, mul_div_cancel_left₀ (arsinh _) two_ne_zero, sinh_arsinh]
#align upper_half_plane.sinh_half_dist UpperHalfPlane.sinh_half_dist
theorem cosh_half_dist (z w : ℍ) :
cosh (dist z w / 2) = dist (z : ℂ) (conj (w : ℂ)) / (2 * √(z.im * w.im)) := by
rw [← sq_eq_sq, cosh_sq', sinh_half_dist, div_pow, div_pow, one_add_div, mul_pow, sq_sqrt]
· congr 1
simp only [Complex.dist_eq, Complex.sq_abs, Complex.normSq_sub, Complex.normSq_conj,
Complex.conj_conj, Complex.mul_re, Complex.conj_re, Complex.conj_im, coe_im]
ring
all_goals positivity
#align upper_half_plane.cosh_half_dist UpperHalfPlane.cosh_half_dist
theorem tanh_half_dist (z w : ℍ) :
tanh (dist z w / 2) = dist (z : ℂ) w / dist (z : ℂ) (conj ↑w) := by
rw [tanh_eq_sinh_div_cosh, sinh_half_dist, cosh_half_dist, div_div_div_comm, div_self, div_one]
positivity
#align upper_half_plane.tanh_half_dist UpperHalfPlane.tanh_half_dist
theorem exp_half_dist (z w : ℍ) :
exp (dist z w / 2) = (dist (z : ℂ) w + dist (z : ℂ) (conj ↑w)) / (2 * √(z.im * w.im)) := by
rw [← sinh_add_cosh, sinh_half_dist, cosh_half_dist, add_div]
#align upper_half_plane.exp_half_dist UpperHalfPlane.exp_half_dist
theorem cosh_dist (z w : ℍ) : cosh (dist z w) = 1 + dist (z : ℂ) w ^ 2 / (2 * z.im * w.im) := by
rw [dist_eq, cosh_two_mul, cosh_sq', add_assoc, ← two_mul, sinh_arsinh, div_pow, mul_pow,
sq_sqrt, sq (2 : ℝ), mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_mul_left] <;> positivity
#align upper_half_plane.cosh_dist UpperHalfPlane.cosh_dist
theorem sinh_half_dist_add_dist (a b c : ℍ) : sinh ((dist a b + dist b c) / 2) =
(dist (a : ℂ) b * dist (c : ℂ) (conj ↑b) + dist (b : ℂ) c * dist (a : ℂ) (conj ↑b)) /
(2 * √(a.im * c.im) * dist (b : ℂ) (conj ↑b)) := by
simp only [add_div _ _ (2 : ℝ), sinh_add, sinh_half_dist, cosh_half_dist, div_mul_div_comm]
rw [← add_div, Complex.dist_self_conj, coe_im, abs_of_pos b.im_pos, mul_comm (dist (b : ℂ) _),
dist_comm (b : ℂ), Complex.dist_conj_comm, mul_mul_mul_comm, mul_mul_mul_comm _ _ _ b.im]
congr 2
rw [sqrt_mul, sqrt_mul, sqrt_mul, mul_comm (√a.im), mul_mul_mul_comm, mul_self_sqrt,
mul_comm] <;> exact (im_pos _).le
#align upper_half_plane.sinh_half_dist_add_dist UpperHalfPlane.sinh_half_dist_add_dist
protected theorem dist_comm (z w : ℍ) : dist z w = dist w z := by
simp only [dist_eq, dist_comm (z : ℂ), mul_comm]
#align upper_half_plane.dist_comm UpperHalfPlane.dist_comm
theorem dist_le_iff_le_sinh :
dist z w ≤ r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) ≤ sinh (r / 2) := by
rw [← div_le_div_right (zero_lt_two' ℝ), ← sinh_le_sinh, sinh_half_dist]
#align upper_half_plane.dist_le_iff_le_sinh UpperHalfPlane.dist_le_iff_le_sinh
theorem dist_eq_iff_eq_sinh :
dist z w = r ↔ dist (z : ℂ) w / (2 * √(z.im * w.im)) = sinh (r / 2) := by
rw [← div_left_inj' (two_ne_zero' ℝ), ← sinh_inj, sinh_half_dist]
#align upper_half_plane.dist_eq_iff_eq_sinh UpperHalfPlane.dist_eq_iff_eq_sinh
theorem dist_eq_iff_eq_sq_sinh (hr : 0 ≤ r) :
dist z w = r ↔ dist (z : ℂ) w ^ 2 / (4 * z.im * w.im) = sinh (r / 2) ^ 2 := by
rw [dist_eq_iff_eq_sinh, ← sq_eq_sq, div_pow, mul_pow, sq_sqrt, mul_assoc]
· norm_num
all_goals positivity
#align upper_half_plane.dist_eq_iff_eq_sq_sinh UpperHalfPlane.dist_eq_iff_eq_sq_sinh
protected theorem dist_triangle (a b c : ℍ) : dist a c ≤ dist a b + dist b c := by
rw [dist_le_iff_le_sinh, sinh_half_dist_add_dist, div_mul_eq_div_div _ _ (dist _ _), le_div_iff,
div_mul_eq_mul_div]
· gcongr
exact EuclideanGeometry.mul_dist_le_mul_dist_add_mul_dist (a : ℂ) b c (conj (b : ℂ))
· rw [dist_comm, dist_pos, Ne, Complex.conj_eq_iff_im]
exact b.im_ne_zero
#align upper_half_plane.dist_triangle UpperHalfPlane.dist_triangle
theorem dist_le_dist_coe_div_sqrt (z w : ℍ) : dist z w ≤ dist (z : ℂ) w / √(z.im * w.im) := by
rw [dist_le_iff_le_sinh, ← div_mul_eq_div_div_swap, self_le_sinh_iff]
positivity
#align upper_half_plane.dist_le_dist_coe_div_sqrt UpperHalfPlane.dist_le_dist_coe_div_sqrt
def metricSpaceAux : MetricSpace ℍ where
dist := dist
dist_self z := by rw [dist_eq, dist_self, zero_div, arsinh_zero, mul_zero]
dist_comm := UpperHalfPlane.dist_comm
dist_triangle := UpperHalfPlane.dist_triangle
eq_of_dist_eq_zero {z w} h := by
simpa [dist_eq, Real.sqrt_eq_zero', (mul_pos z.im_pos w.im_pos).not_le, ext_iff] using h
edist_dist _ _ := by exact ENNReal.coe_nnreal_eq _
#align upper_half_plane.metric_space_aux UpperHalfPlane.metricSpaceAux
open Complex
theorem cosh_dist' (z w : ℍ) :
Real.cosh (dist z w) = ((z.re - w.re) ^ 2 + z.im ^ 2 + w.im ^ 2) / (2 * z.im * w.im) := by
field_simp [cosh_dist, Complex.dist_eq, Complex.sq_abs, normSq_apply]
ring
#align upper_half_plane.cosh_dist' UpperHalfPlane.cosh_dist'
def center (z : ℍ) (r : ℝ) : ℍ :=
⟨⟨z.re, z.im * Real.cosh r⟩, by positivity⟩
#align upper_half_plane.center UpperHalfPlane.center
@[simp]
theorem center_re (z r) : (center z r).re = z.re :=
rfl
#align upper_half_plane.center_re UpperHalfPlane.center_re
@[simp]
theorem center_im (z r) : (center z r).im = z.im * Real.cosh r :=
rfl
#align upper_half_plane.center_im UpperHalfPlane.center_im
@[simp]
theorem center_zero (z : ℍ) : center z 0 = z :=
ext' rfl <| by rw [center_im, Real.cosh_zero, mul_one]
#align upper_half_plane.center_zero UpperHalfPlane.center_zero
theorem dist_coe_center_sq (z w : ℍ) (r : ℝ) : dist (z : ℂ) (w.center r) ^ 2 =
2 * z.im * w.im * (Real.cosh (dist z w) - Real.cosh r) + (w.im * Real.sinh r) ^ 2 := by
have H : 2 * z.im * w.im ≠ 0 := by positivity
simp only [Complex.dist_eq, Complex.sq_abs, normSq_apply, coe_re, coe_im, center_re, center_im,
cosh_dist', mul_div_cancel₀ _ H, sub_sq z.im, mul_pow, Real.cosh_sq, sub_re, sub_im, mul_sub, ←
sq]
ring
#align upper_half_plane.dist_coe_center_sq UpperHalfPlane.dist_coe_center_sq
theorem dist_coe_center (z w : ℍ) (r : ℝ) : dist (z : ℂ) (w.center r) =
√(2 * z.im * w.im * (Real.cosh (dist z w) - Real.cosh r) + (w.im * Real.sinh r) ^ 2) := by
rw [← sqrt_sq dist_nonneg, dist_coe_center_sq]
#align upper_half_plane.dist_coe_center UpperHalfPlane.dist_coe_center
| Mathlib/Analysis/Complex/UpperHalfPlane/Metric.lean | 176 | 187 | theorem cmp_dist_eq_cmp_dist_coe_center (z w : ℍ) (r : ℝ) :
cmp (dist z w) r = cmp (dist (z : ℂ) (w.center r)) (w.im * Real.sinh r) := by |
letI := metricSpaceAux
cases' lt_or_le r 0 with hr₀ hr₀
· trans Ordering.gt
exacts [(hr₀.trans_le dist_nonneg).cmp_eq_gt,
((mul_neg_of_pos_of_neg w.im_pos (sinh_neg_iff.2 hr₀)).trans_le dist_nonneg).cmp_eq_gt.symm]
have hr₀' : 0 ≤ w.im * Real.sinh r := by positivity
have hzw₀ : 0 < 2 * z.im * w.im := by positivity
simp only [← cosh_strictMonoOn.cmp_map_eq dist_nonneg hr₀, ←
(pow_left_strictMonoOn two_ne_zero).cmp_map_eq dist_nonneg hr₀', dist_coe_center_sq]
rw [← cmp_mul_pos_left hzw₀, ← cmp_sub_zero, ← mul_sub, ← cmp_add_right, zero_add]
|
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]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 362 | 363 | 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]
|
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.BigOperators
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Tactic.FinCases
#align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Affine
namespace Finset
theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by
ext x
fin_cases x <;> simp
#align finset.univ_fin2 Finset.univ_fin2
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [S : AffineSpace V P]
variable {ι : Type*} (s : Finset ι)
variable {ι₂ : Type*} (s₂ : Finset ι₂)
def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b)
#align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint
@[simp]
theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) :
s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by
simp [weightedVSubOfPoint, LinearMap.sum_apply]
#align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply
@[simp (high)]
theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) :
s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by
rw [weightedVSubOfPoint_apply, sum_smul]
#align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const
theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) :
s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by
simp_rw [weightedVSubOfPoint_apply]
refine sum_congr rfl fun i hi => ?_
rw [hw i hi, hp i hi]
#align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr
theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k)
(hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by
simp only [Finset.weightedVSubOfPoint_apply]
congr
ext i
rcases eq_or_ne i j with h | h
· simp [h]
· simp [hw i h]
#align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq
theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by
apply eq_of_sub_eq_zero
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib]
conv_lhs =>
congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, zero_smul]
#align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero
theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by
erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V,
vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ←
sum_sub_distrib]
conv_lhs =>
congr
· skip
· congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
#align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one
@[simp (high)]
theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_erase
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase
@[simp (high)]
theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_insert_zero
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert
theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
exact Eq.symm <|
sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _
#align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset
theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) :
(s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by
simp_rw [weightedVSubOfPoint_apply]
exact Finset.sum_map _ _ _
#align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map
theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by
simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right]
#align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub
theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by
rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const]
#align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub
theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) :
(∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by
rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const]
#align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint
theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) (b : P) :
(s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w =
s.weightedVSubOfPoint p b w := by
simp_rw [weightedVSubOfPoint_apply, sum_sdiff h]
#align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff
theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) (b : P) :
(s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) =
s.weightedVSubOfPoint p b w := by
rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h]
#align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub
theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) =
(s.filter pred).weightedVSubOfPoint p b w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter]
#align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter
theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop}
[DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) :
(s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne]
intro i hi hne
refine h i hi ?_
intro hw
simp [hw] at hne
#align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne
theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) :
s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by
simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul]
#align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul
def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V :=
s.weightedVSubOfPoint p (Classical.choice S.nonempty)
#align finset.weighted_vsub Finset.weightedVSub
theorem weightedVSub_apply (w : ι → k) (p : ι → P) :
s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by
simp [weightedVSub, LinearMap.sum_apply]
#align finset.weighted_vsub_apply Finset.weightedVSub_apply
theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P)
(h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w :=
s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _
#align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero
@[simp]
theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) :
s.weightedVSub (fun _ => p) w = 0 := by
rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul]
#align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const
@[simp]
theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by
simp [weightedVSub_apply]
#align finset.weighted_vsub_empty Finset.weightedVSub_empty
theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ :=
s.weightedVSubOfPoint_congr hw hp _
#align finset.weighted_vsub_congr Finset.weightedVSub_congr
theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) :
s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) :=
weightedVSubOfPoint_indicator_subset _ _ _ h
#align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset
theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) :=
s₂.weightedVSubOfPoint_map _ _ _ _
#align finset.weighted_vsub_map Finset.weightedVSub_map
theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w :=
s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _
#align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub
theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P)
(h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by
rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero]
#align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub
theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P)
(h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by
rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub]
#align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub
theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) :
(s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w :=
s.weightedVSubOfPoint_sdiff h _ _ _
#align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff
theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w :=
s.weightedVSubOfPoint_sdiff_sub h _ _ _
#align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub
theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) =
(s.filter pred).weightedVSub p w :=
s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _
#align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter
theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred]
(h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w :=
s.weightedVSubOfPoint_filter_of_ne _ _ _ h
#align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne
theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) :
s.weightedVSub p (c • w) = c • s.weightedVSub p w :=
s.weightedVSubOfPoint_const_smul _ _ _ _
#align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul
instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor
variable (k)
def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where
toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty
linear := s.weightedVSub p
map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add]
#align finset.affine_combination Finset.affineCombination
@[simp]
theorem affineCombination_linear (p : ι → P) :
(s.affineCombination k p).linear = s.weightedVSub p :=
rfl
#align finset.affine_combination_linear Finset.affineCombination_linear
variable {k}
theorem affineCombination_apply (w : ι → k) (p : ι → P) :
(s.affineCombination k p) w =
s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty :=
rfl
#align finset.affine_combination_apply Finset.affineCombination_apply
@[simp]
theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) :
s.affineCombination k (fun _ => p) w = p := by
rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd]
#align finset.affine_combination_apply_const Finset.affineCombination_apply_const
theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by
simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp]
#align finset.affine_combination_congr Finset.affineCombination_congr
theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P)
(h : ∑ i ∈ s, w i = 1) (b : P) :
s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b :=
s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _
#align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one
theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) :
s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by
rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear]
#align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination
theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) :
s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by
rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub]
#align finset.affine_combination_vsub Finset.affineCombination_vsub
theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P)
(hf : Function.Injective f) :
s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by
simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff,
Function.comp_apply, AffineMap.coe_mk]
let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty)
let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty)
change univ.sum g₁ = (image f univ).sum g₂
have hgf : g₁ = g₂ ∘ f := by
ext
simp
rw [hgf, sum_image]
· simp only [Function.comp_apply]
· exact fun _ _ _ _ hxy => hf hxy
#align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective
theorem attach_affineCombination_coe (s : Finset P) (w : P → k) :
s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by
classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective,
univ_eq_attach, attach_image_val]
#align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe
@[simp]
theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V}
(hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by
simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw]
#align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination
@[simp]
theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k)
(hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by
simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0]
#align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination
@[simp]
theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s)
(hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by
have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his)
rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i),
weightedVSubOfPoint_apply]
convert zero_vadd V (p i)
refine sum_eq_zero ?_
intro i2 hi2
by_cases h : i2 = i
· simp [h]
· simp [hw0 i2 hi2 h]
#align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero
theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by
rw [affineCombination_apply, affineCombination_apply,
weightedVSubOfPoint_indicator_subset _ _ _ h]
#align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset
theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by
simp_rw [affineCombination_apply, weightedVSubOfPoint_map]
#align finset.affine_combination_map Finset.affineCombination_map
theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by
simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right]
exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _
#align finset.sum_smul_vsub_eq_affine_combination_vsub Finset.sum_smul_vsub_eq_affineCombination_vsub
theorem sum_smul_vsub_const_eq_affineCombination_vsub (w : ι → k) (p₁ : ι → P) (p₂ : P)
(h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.affineCombination k p₁ w -ᵥ p₂ := by
rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h]
#align finset.sum_smul_vsub_const_eq_affine_combination_vsub Finset.sum_smul_vsub_const_eq_affineCombination_vsub
theorem sum_smul_const_vsub_eq_vsub_affineCombination (w : ι → k) (p₂ : ι → P) (p₁ : P)
(h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = p₁ -ᵥ s.affineCombination k p₂ w := by
rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h]
#align finset.sum_smul_const_vsub_eq_vsub_affine_combination Finset.sum_smul_const_vsub_eq_vsub_affineCombination
theorem affineCombination_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) :
(s \ s₂).affineCombination k p w -ᵥ s₂.affineCombination k p (-w) = s.weightedVSub p w := by
simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right]
exact s.weightedVSub_sdiff_sub h _ _
#align finset.affine_combination_sdiff_sub Finset.affineCombination_sdiff_sub
theorem affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one {w : ι → k} {p : ι → P}
(hw : s.weightedVSub p w = (0 : V)) {i : ι} [DecidablePred (· ≠ i)] (his : i ∈ s)
(hwi : w i = -1) : (s.filter (· ≠ i)).affineCombination k p w = p i := by
classical
rw [← @vsub_eq_zero_iff_eq V, ← hw,
← s.affineCombination_sdiff_sub (singleton_subset_iff.2 his), sdiff_singleton_eq_erase,
← filter_ne']
congr
refine (affineCombination_of_eq_one_of_eq_zero _ _ _ (mem_singleton_self _) ?_ ?_).symm
· simp [hwi]
· simp
#align finset.affine_combination_eq_of_weighted_vsub_eq_zero_of_eq_neg_one Finset.affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one
theorem affineCombination_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).affineCombination k (fun i => p i) fun i => w i) =
(s.filter pred).affineCombination k p w := by
rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_subtype_eq_filter]
#align finset.affine_combination_subtype_eq_filter Finset.affineCombination_subtype_eq_filter
theorem affineCombination_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop}
[DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) :
(s.filter pred).affineCombination k p w = s.affineCombination k p w := by
rw [affineCombination_apply, affineCombination_apply,
s.weightedVSubOfPoint_filter_of_ne _ _ _ h]
#align finset.affine_combination_filter_of_ne Finset.affineCombination_filter_of_ne
theorem eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype {v : V} {x : k} {s : Set ι}
{p : ι → P} {b : P} :
(∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = x ∧
v = fs.weightedVSubOfPoint p b w) ↔
∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = x ∧
v = fs.weightedVSubOfPoint (fun i : s => p i) b w := by
classical
simp_rw [weightedVSubOfPoint_apply]
constructor
· rintro ⟨fs, hfs, w, rfl, rfl⟩
exact ⟨fs.subtype s, fun i => w i, sum_subtype_of_mem _ hfs, (sum_subtype_of_mem _ hfs).symm⟩
· rintro ⟨fs, w, rfl, rfl⟩
refine
⟨fs.map (Function.Embedding.subtype _), map_subtype_subset _, fun i =>
if h : i ∈ s then w ⟨i, h⟩ else 0, ?_, ?_⟩ <;>
simp
#align finset.eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype Finset.eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype
variable (k)
theorem eq_weightedVSub_subset_iff_eq_weightedVSub_subtype {v : V} {s : Set ι} {p : ι → P} :
(∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 0 ∧
v = fs.weightedVSub p w) ↔
∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 0 ∧
v = fs.weightedVSub (fun i : s => p i) w :=
eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype
#align finset.eq_weighted_vsub_subset_iff_eq_weighted_vsub_subtype Finset.eq_weightedVSub_subset_iff_eq_weightedVSub_subtype
variable (V)
theorem eq_affineCombination_subset_iff_eq_affineCombination_subtype {p0 : P} {s : Set ι}
{p : ι → P} :
(∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 1 ∧
p0 = fs.affineCombination k p w) ↔
∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 1 ∧
p0 = fs.affineCombination k (fun i : s => p i) w := by
simp_rw [affineCombination_apply, eq_vadd_iff_vsub_eq]
exact eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype
#align finset.eq_affine_combination_subset_iff_eq_affine_combination_subtype Finset.eq_affineCombination_subset_iff_eq_affineCombination_subtype
variable {k V}
theorem map_affineCombination {V₂ P₂ : Type*} [AddCommGroup V₂] [Module k V₂] [AffineSpace V₂ P₂]
(p : ι → P) (w : ι → k) (hw : s.sum w = 1) (f : P →ᵃ[k] P₂) :
f (s.affineCombination k p w) = s.affineCombination k (f ∘ p) w := by
have b := Classical.choice (inferInstance : AffineSpace V P).nonempty
have b₂ := Classical.choice (inferInstance : AffineSpace V₂ P₂).nonempty
rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw b,
s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w (f ∘ p) hw b₂, ←
s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w (f ∘ p) hw (f b) b₂]
simp only [weightedVSubOfPoint_apply, RingHom.id_apply, AffineMap.map_vadd,
LinearMap.map_smulₛₗ, AffineMap.linearMap_vsub, map_sum, Function.comp_apply]
#align finset.map_affine_combination Finset.map_affineCombination
variable (k)
def affineCombinationSingleWeights [DecidableEq ι] (i : ι) : ι → k :=
Function.update (Function.const ι 0) i 1
#align finset.affine_combination_single_weights Finset.affineCombinationSingleWeights
@[simp]
theorem affineCombinationSingleWeights_apply_self [DecidableEq ι] (i : ι) :
affineCombinationSingleWeights k i i = 1 := by simp [affineCombinationSingleWeights]
#align finset.affine_combination_single_weights_apply_self Finset.affineCombinationSingleWeights_apply_self
@[simp]
theorem affineCombinationSingleWeights_apply_of_ne [DecidableEq ι] {i j : ι} (h : j ≠ i) :
affineCombinationSingleWeights k i j = 0 := by simp [affineCombinationSingleWeights, h]
#align finset.affine_combination_single_weights_apply_of_ne Finset.affineCombinationSingleWeights_apply_of_ne
@[simp]
theorem sum_affineCombinationSingleWeights [DecidableEq ι] {i : ι} (h : i ∈ s) :
∑ j ∈ s, affineCombinationSingleWeights k i j = 1 := by
rw [← affineCombinationSingleWeights_apply_self k i]
exact sum_eq_single_of_mem i h fun j _ hj => affineCombinationSingleWeights_apply_of_ne k hj
#align finset.sum_affine_combination_single_weights Finset.sum_affineCombinationSingleWeights
def weightedVSubVSubWeights [DecidableEq ι] (i j : ι) : ι → k :=
affineCombinationSingleWeights k i - affineCombinationSingleWeights k j
#align finset.weighted_vsub_vsub_weights Finset.weightedVSubVSubWeights
@[simp]
theorem weightedVSubVSubWeights_self [DecidableEq ι] (i : ι) :
weightedVSubVSubWeights k i i = 0 := by simp [weightedVSubVSubWeights]
#align finset.weighted_vsub_vsub_weights_self Finset.weightedVSubVSubWeights_self
@[simp]
theorem weightedVSubVSubWeights_apply_left [DecidableEq ι] {i j : ι} (h : i ≠ j) :
weightedVSubVSubWeights k i j i = 1 := by simp [weightedVSubVSubWeights, h]
#align finset.weighted_vsub_vsub_weights_apply_left Finset.weightedVSubVSubWeights_apply_left
@[simp]
theorem weightedVSubVSubWeights_apply_right [DecidableEq ι] {i j : ι} (h : i ≠ j) :
weightedVSubVSubWeights k i j j = -1 := by simp [weightedVSubVSubWeights, h.symm]
#align finset.weighted_vsub_vsub_weights_apply_right Finset.weightedVSubVSubWeights_apply_right
@[simp]
theorem weightedVSubVSubWeights_apply_of_ne [DecidableEq ι] {i j t : ι} (hi : t ≠ i) (hj : t ≠ j) :
weightedVSubVSubWeights k i j t = 0 := by simp [weightedVSubVSubWeights, hi, hj]
#align finset.weighted_vsub_vsub_weights_apply_of_ne Finset.weightedVSubVSubWeights_apply_of_ne
@[simp]
theorem sum_weightedVSubVSubWeights [DecidableEq ι] {i j : ι} (hi : i ∈ s) (hj : j ∈ s) :
∑ t ∈ s, weightedVSubVSubWeights k i j t = 0 := by
simp_rw [weightedVSubVSubWeights, Pi.sub_apply, sum_sub_distrib]
simp [hi, hj]
#align finset.sum_weighted_vsub_vsub_weights Finset.sum_weightedVSubVSubWeights
variable {k}
def affineCombinationLineMapWeights [DecidableEq ι] (i j : ι) (c : k) : ι → k :=
c • weightedVSubVSubWeights k j i + affineCombinationSingleWeights k i
#align finset.affine_combination_line_map_weights Finset.affineCombinationLineMapWeights
@[simp]
theorem affineCombinationLineMapWeights_self [DecidableEq ι] (i : ι) (c : k) :
affineCombinationLineMapWeights i i c = affineCombinationSingleWeights k i := by
simp [affineCombinationLineMapWeights]
#align finset.affine_combination_line_map_weights_self Finset.affineCombinationLineMapWeights_self
@[simp]
theorem affineCombinationLineMapWeights_apply_left [DecidableEq ι] {i j : ι} (h : i ≠ j) (c : k) :
affineCombinationLineMapWeights i j c i = 1 - c := by
simp [affineCombinationLineMapWeights, h.symm, sub_eq_neg_add]
#align finset.affine_combination_line_map_weights_apply_left Finset.affineCombinationLineMapWeights_apply_left
@[simp]
theorem affineCombinationLineMapWeights_apply_right [DecidableEq ι] {i j : ι} (h : i ≠ j) (c : k) :
affineCombinationLineMapWeights i j c j = c := by
simp [affineCombinationLineMapWeights, h.symm]
#align finset.affine_combination_line_map_weights_apply_right Finset.affineCombinationLineMapWeights_apply_right
@[simp]
theorem affineCombinationLineMapWeights_apply_of_ne [DecidableEq ι] {i j t : ι} (hi : t ≠ i)
(hj : t ≠ j) (c : k) : affineCombinationLineMapWeights i j c t = 0 := by
simp [affineCombinationLineMapWeights, hi, hj]
#align finset.affine_combination_line_map_weights_apply_of_ne Finset.affineCombinationLineMapWeights_apply_of_ne
@[simp]
theorem sum_affineCombinationLineMapWeights [DecidableEq ι] {i j : ι} (hi : i ∈ s) (hj : j ∈ s)
(c : k) : ∑ t ∈ s, affineCombinationLineMapWeights i j c t = 1 := by
simp_rw [affineCombinationLineMapWeights, Pi.add_apply, sum_add_distrib]
simp [hi, hj, ← mul_sum]
#align finset.sum_affine_combination_line_map_weights Finset.sum_affineCombinationLineMapWeights
variable (k)
@[simp]
| Mathlib/LinearAlgebra/AffineSpace/Combination.lean | 738 | 742 | theorem affineCombination_affineCombinationSingleWeights [DecidableEq ι] (p : ι → P) {i : ι}
(hi : i ∈ s) : s.affineCombination k p (affineCombinationSingleWeights k i) = p i := by |
refine s.affineCombination_of_eq_one_of_eq_zero _ _ hi (by simp) ?_
rintro j - hj
simp [hj]
|
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.integer from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a"
variable {R : Type*} [CommSemiring R] {M : Submonoid R} {S : Type*} [CommSemiring S]
variable [Algebra R S] {P : Type*} [CommSemiring P]
open Function
namespace IsLocalization
section
variable (R)
-- TODO: define a subalgebra of `IsInteger`s
def IsInteger (a : S) : Prop :=
a ∈ (algebraMap R S).rangeS
#align is_localization.is_integer IsLocalization.IsInteger
end
theorem isInteger_zero : IsInteger R (0 : S) :=
Subsemiring.zero_mem _
#align is_localization.is_integer_zero IsLocalization.isInteger_zero
theorem isInteger_one : IsInteger R (1 : S) :=
Subsemiring.one_mem _
#align is_localization.is_integer_one IsLocalization.isInteger_one
theorem isInteger_add {a b : S} (ha : IsInteger R a) (hb : IsInteger R b) : IsInteger R (a + b) :=
Subsemiring.add_mem _ ha hb
#align is_localization.is_integer_add IsLocalization.isInteger_add
theorem isInteger_mul {a b : S} (ha : IsInteger R a) (hb : IsInteger R b) : IsInteger R (a * b) :=
Subsemiring.mul_mem _ ha hb
#align is_localization.is_integer_mul IsLocalization.isInteger_mul
theorem isInteger_smul {a : R} {b : S} (hb : IsInteger R b) : IsInteger R (a • b) := by
rcases hb with ⟨b', hb⟩
use a * b'
rw [← hb, (algebraMap R S).map_mul, Algebra.smul_def]
#align is_localization.is_integer_smul IsLocalization.isInteger_smul
variable (M)
variable [IsLocalization M S]
theorem exists_integer_multiple' (a : S) : ∃ b : M, IsInteger R (a * algebraMap R S b) :=
let ⟨⟨Num, denom⟩, h⟩ := IsLocalization.surj _ a
⟨denom, Set.mem_range.mpr ⟨Num, h.symm⟩⟩
#align is_localization.exists_integer_multiple' IsLocalization.exists_integer_multiple'
theorem exists_integer_multiple (a : S) : ∃ b : M, IsInteger R ((b : R) • a) := by
simp_rw [Algebra.smul_def, mul_comm _ a]
apply exists_integer_multiple'
#align is_localization.exists_integer_multiple IsLocalization.exists_integer_multiple
theorem exist_integer_multiples {ι : Type*} (s : Finset ι) (f : ι → S) :
∃ b : M, ∀ i ∈ s, IsLocalization.IsInteger R ((b : R) • f i) := by
haveI := Classical.propDecidable
refine ⟨∏ i ∈ s, (sec M (f i)).2, fun i hi => ⟨?_, ?_⟩⟩
· exact (∏ j ∈ s.erase i, (sec M (f j)).2) * (sec M (f i)).1
rw [RingHom.map_mul, sec_spec', ← mul_assoc, ← (algebraMap R S).map_mul, ← Algebra.smul_def]
congr 2
refine _root_.trans ?_ (map_prod (Submonoid.subtype M) _ _).symm
rw [mul_comm,Submonoid.coe_finset_prod,
-- Porting note: explicitly supplied `f`
← Finset.prod_insert (f := fun i => ((sec M (f i)).snd : R)) (s.not_mem_erase i),
Finset.insert_erase hi]
rfl
#align is_localization.exist_integer_multiples IsLocalization.exist_integer_multiples
theorem exist_integer_multiples_of_finite {ι : Type*} [Finite ι] (f : ι → S) :
∃ b : M, ∀ i, IsLocalization.IsInteger R ((b : R) • f i) := by
cases nonempty_fintype ι
obtain ⟨b, hb⟩ := exist_integer_multiples M Finset.univ f
exact ⟨b, fun i => hb i (Finset.mem_univ _)⟩
#align is_localization.exist_integer_multiples_of_finite IsLocalization.exist_integer_multiples_of_finite
theorem exist_integer_multiples_of_finset (s : Finset S) :
∃ b : M, ∀ a ∈ s, IsInteger R ((b : R) • a) :=
exist_integer_multiples M s id
#align is_localization.exist_integer_multiples_of_finset IsLocalization.exist_integer_multiples_of_finset
noncomputable def commonDenom {ι : Type*} (s : Finset ι) (f : ι → S) : M :=
(exist_integer_multiples M s f).choose
#align is_localization.common_denom IsLocalization.commonDenom
noncomputable def integerMultiple {ι : Type*} (s : Finset ι) (f : ι → S) (i : s) : R :=
((exist_integer_multiples M s f).choose_spec i i.prop).choose
#align is_localization.integer_multiple IsLocalization.integerMultiple
@[simp]
theorem map_integerMultiple {ι : Type*} (s : Finset ι) (f : ι → S) (i : s) :
algebraMap R S (integerMultiple M s f i) = commonDenom M s f • f i :=
((exist_integer_multiples M s f).choose_spec _ i.prop).choose_spec
#align is_localization.map_integer_multiple IsLocalization.map_integerMultiple
noncomputable def commonDenomOfFinset (s : Finset S) : M :=
commonDenom M s id
#align is_localization.common_denom_of_finset IsLocalization.commonDenomOfFinset
noncomputable def finsetIntegerMultiple [DecidableEq R] (s : Finset S) : Finset R :=
s.attach.image fun t => integerMultiple M s id t
#align is_localization.finset_integer_multiple IsLocalization.finsetIntegerMultiple
open Pointwise
| Mathlib/RingTheory/Localization/Integer.lean | 149 | 159 | theorem finsetIntegerMultiple_image [DecidableEq R] (s : Finset S) :
algebraMap R S '' finsetIntegerMultiple M s = commonDenomOfFinset M s • (s : Set S) := by |
delta finsetIntegerMultiple commonDenom
rw [Finset.coe_image]
ext
constructor
· rintro ⟨_, ⟨x, -, rfl⟩, rfl⟩
rw [map_integerMultiple]
exact Set.mem_image_of_mem _ x.prop
· rintro ⟨x, hx, rfl⟩
exact ⟨_, ⟨⟨x, hx⟩, s.mem_attach _, rfl⟩, map_integerMultiple M s id _⟩
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Comp
import Mathlib.Analysis.Calculus.FDeriv.RestrictScalars
#align_import analysis.calculus.deriv.comp 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 L₁ L₂ : Filter 𝕜}
section CompositionVector
open ContinuousLinearMap
variable {l : F → E} {l' : F →L[𝕜] E} {y : F}
variable (x)
theorem HasFDerivWithinAt.comp_hasDerivWithinAt {t : Set F} (hl : HasFDerivWithinAt l l' t (f x))
(hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) :
HasDerivWithinAt (l ∘ f) (l' f') s x := by
simpa only [one_apply, one_smul, smulRight_apply, coe_comp', (· ∘ ·)] using
(hl.comp x hf.hasFDerivWithinAt hst).hasDerivWithinAt
#align has_fderiv_within_at.comp_has_deriv_within_at HasFDerivWithinAt.comp_hasDerivWithinAt
theorem HasFDerivWithinAt.comp_hasDerivWithinAt_of_eq {t : Set F}
(hl : HasFDerivWithinAt l l' t y)
(hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) (hy : y = f x) :
HasDerivWithinAt (l ∘ f) (l' f') s x := by
rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf hst
theorem HasFDerivAt.comp_hasDerivWithinAt (hl : HasFDerivAt l l' (f x))
(hf : HasDerivWithinAt f f' s x) : HasDerivWithinAt (l ∘ f) (l' f') s x :=
hl.hasFDerivWithinAt.comp_hasDerivWithinAt x hf (mapsTo_univ _ _)
#align has_fderiv_at.comp_has_deriv_within_at HasFDerivAt.comp_hasDerivWithinAt
theorem HasFDerivAt.comp_hasDerivWithinAt_of_eq (hl : HasFDerivAt l l' y)
(hf : HasDerivWithinAt f f' s x) (hy : y = f x) :
HasDerivWithinAt (l ∘ f) (l' f') s x := by
rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf
theorem HasFDerivAt.comp_hasDerivAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivAt f f' x) :
HasDerivAt (l ∘ f) (l' f') x :=
hasDerivWithinAt_univ.mp <| hl.comp_hasDerivWithinAt x hf.hasDerivWithinAt
#align has_fderiv_at.comp_has_deriv_at HasFDerivAt.comp_hasDerivAt
theorem HasFDerivAt.comp_hasDerivAt_of_eq
(hl : HasFDerivAt l l' y) (hf : HasDerivAt f f' x) (hy : y = f x) :
HasDerivAt (l ∘ f) (l' f') x := by
rw [hy] at hl; exact hl.comp_hasDerivAt x hf
theorem HasStrictFDerivAt.comp_hasStrictDerivAt (hl : HasStrictFDerivAt l l' (f x))
(hf : HasStrictDerivAt f f' x) : HasStrictDerivAt (l ∘ f) (l' f') x := by
simpa only [one_apply, one_smul, smulRight_apply, coe_comp', (· ∘ ·)] using
(hl.comp x hf.hasStrictFDerivAt).hasStrictDerivAt
#align has_strict_fderiv_at.comp_has_strict_deriv_at HasStrictFDerivAt.comp_hasStrictDerivAt
| Mathlib/Analysis/Calculus/Deriv/Comp.lean | 393 | 396 | theorem HasStrictFDerivAt.comp_hasStrictDerivAt_of_eq (hl : HasStrictFDerivAt l l' y)
(hf : HasStrictDerivAt f f' x) (hy : y = f x) :
HasStrictDerivAt (l ∘ f) (l' f') x := by |
rw [hy] at hl; exact hl.comp_hasStrictDerivAt x hf
|
import Mathlib.Data.ENNReal.Operations
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal
namespace ENNReal
noncomputable section Inv
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
protected theorem div_eq_inv_mul : a / b = b⁻¹ * a := by rw [div_eq_mul_inv, mul_comm]
#align ennreal.div_eq_inv_mul ENNReal.div_eq_inv_mul
@[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ :=
show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp
#align ennreal.inv_zero ENNReal.inv_zero
@[simp] theorem inv_top : ∞⁻¹ = 0 :=
bot_unique <| le_of_forall_le_of_dense fun a (h : 0 < a) => sInf_le <| by simp [*, h.ne', top_mul]
#align ennreal.inv_top ENNReal.inv_top
theorem coe_inv_le : (↑r⁻¹ : ℝ≥0∞) ≤ (↑r)⁻¹ :=
le_sInf fun b (hb : 1 ≤ ↑r * b) =>
coe_le_iff.2 <| by
rintro b rfl
apply NNReal.inv_le_of_le_mul
rwa [← coe_mul, ← coe_one, coe_le_coe] at hb
#align ennreal.coe_inv_le ENNReal.coe_inv_le
@[simp, norm_cast]
theorem coe_inv (hr : r ≠ 0) : (↑r⁻¹ : ℝ≥0∞) = (↑r)⁻¹ :=
coe_inv_le.antisymm <| sInf_le <| mem_setOf.2 <| by rw [← coe_mul, mul_inv_cancel hr, coe_one]
#align ennreal.coe_inv ENNReal.coe_inv
@[norm_cast]
theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two]
#align ennreal.coe_inv_two ENNReal.coe_inv_two
@[simp, norm_cast]
theorem coe_div (hr : r ≠ 0) : (↑(p / r) : ℝ≥0∞) = p / r := by
rw [div_eq_mul_inv, div_eq_mul_inv, coe_mul, coe_inv hr]
#align ennreal.coe_div ENNReal.coe_div
lemma coe_div_le : ↑(p / r) ≤ (p / r : ℝ≥0∞) := by
simpa only [div_eq_mul_inv, coe_mul] using mul_le_mul_left' coe_inv_le _
theorem div_zero (h : a ≠ 0) : a / 0 = ∞ := by simp [div_eq_mul_inv, h]
#align ennreal.div_zero ENNReal.div_zero
instance : DivInvOneMonoid ℝ≥0∞ :=
{ inferInstanceAs (DivInvMonoid ℝ≥0∞) with
inv_one := by simpa only [coe_inv one_ne_zero, coe_one] using coe_inj.2 inv_one }
protected theorem inv_pow : ∀ {a : ℝ≥0∞} {n : ℕ}, (a ^ n)⁻¹ = a⁻¹ ^ n
| _, 0 => by simp only [pow_zero, inv_one]
| ⊤, n + 1 => by simp [top_pow]
| (a : ℝ≥0), n + 1 => by
rcases eq_or_ne a 0 with (rfl | ha)
· simp [top_pow]
· have := pow_ne_zero (n + 1) ha
norm_cast
rw [inv_pow]
#align ennreal.inv_pow ENNReal.inv_pow
protected theorem mul_inv_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a * a⁻¹ = 1 := by
lift a to ℝ≥0 using ht
norm_cast at h0; norm_cast
exact mul_inv_cancel h0
#align ennreal.mul_inv_cancel ENNReal.mul_inv_cancel
protected theorem inv_mul_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a⁻¹ * a = 1 :=
mul_comm a a⁻¹ ▸ ENNReal.mul_inv_cancel h0 ht
#align ennreal.inv_mul_cancel ENNReal.inv_mul_cancel
protected theorem div_mul_cancel (h0 : a ≠ 0) (hI : a ≠ ∞) : b / a * a = b := by
rw [div_eq_mul_inv, mul_assoc, ENNReal.inv_mul_cancel h0 hI, mul_one]
#align ennreal.div_mul_cancel ENNReal.div_mul_cancel
protected theorem mul_div_cancel' (h0 : a ≠ 0) (hI : a ≠ ∞) : a * (b / a) = b := by
rw [mul_comm, ENNReal.div_mul_cancel h0 hI]
#align ennreal.mul_div_cancel' ENNReal.mul_div_cancel'
-- Porting note: `simp only [div_eq_mul_inv, mul_comm, mul_assoc]` doesn't work in the following two
protected theorem mul_comm_div : a / b * c = a * (c / b) := by
simp only [div_eq_mul_inv, mul_right_comm, ← mul_assoc]
#align ennreal.mul_comm_div ENNReal.mul_comm_div
protected theorem mul_div_right_comm : a * b / c = a / c * b := by
simp only [div_eq_mul_inv, mul_right_comm]
#align ennreal.mul_div_right_comm ENNReal.mul_div_right_comm
instance : InvolutiveInv ℝ≥0∞ where
inv_inv a := by
by_cases a = 0 <;> cases a <;> simp_all [none_eq_top, some_eq_coe, -coe_inv, (coe_inv _).symm]
@[simp] protected lemma inv_eq_one : a⁻¹ = 1 ↔ a = 1 := by rw [← inv_inj, inv_inv, inv_one]
@[simp] theorem inv_eq_top : a⁻¹ = ∞ ↔ a = 0 := inv_zero ▸ inv_inj
#align ennreal.inv_eq_top ENNReal.inv_eq_top
theorem inv_ne_top : a⁻¹ ≠ ∞ ↔ a ≠ 0 := by simp
#align ennreal.inv_ne_top ENNReal.inv_ne_top
@[simp]
theorem inv_lt_top {x : ℝ≥0∞} : x⁻¹ < ∞ ↔ 0 < x := by
simp only [lt_top_iff_ne_top, inv_ne_top, pos_iff_ne_zero]
#align ennreal.inv_lt_top ENNReal.inv_lt_top
theorem div_lt_top {x y : ℝ≥0∞} (h1 : x ≠ ∞) (h2 : y ≠ 0) : x / y < ∞ :=
mul_lt_top h1 (inv_ne_top.mpr h2)
#align ennreal.div_lt_top ENNReal.div_lt_top
@[simp]
protected theorem inv_eq_zero : a⁻¹ = 0 ↔ a = ∞ :=
inv_top ▸ inv_inj
#align ennreal.inv_eq_zero ENNReal.inv_eq_zero
protected theorem inv_ne_zero : a⁻¹ ≠ 0 ↔ a ≠ ∞ := by simp
#align ennreal.inv_ne_zero ENNReal.inv_ne_zero
protected theorem div_pos (ha : a ≠ 0) (hb : b ≠ ∞) : 0 < a / b :=
ENNReal.mul_pos ha <| ENNReal.inv_ne_zero.2 hb
#align ennreal.div_pos ENNReal.div_pos
protected theorem mul_inv {a b : ℝ≥0∞} (ha : a ≠ 0 ∨ b ≠ ∞) (hb : a ≠ ∞ ∨ b ≠ 0) :
(a * b)⁻¹ = a⁻¹ * b⁻¹ := by
induction' b with b
· replace ha : a ≠ 0 := ha.neg_resolve_right rfl
simp [ha]
induction' a with a
· replace hb : b ≠ 0 := coe_ne_zero.1 (hb.neg_resolve_left rfl)
simp [hb]
by_cases h'a : a = 0
· simp only [h'a, top_mul, ENNReal.inv_zero, ENNReal.coe_ne_top, zero_mul, Ne,
not_false_iff, ENNReal.coe_zero, ENNReal.inv_eq_zero]
by_cases h'b : b = 0
· simp only [h'b, ENNReal.inv_zero, ENNReal.coe_ne_top, mul_top, Ne, not_false_iff,
mul_zero, ENNReal.coe_zero, ENNReal.inv_eq_zero]
rw [← ENNReal.coe_mul, ← ENNReal.coe_inv, ← ENNReal.coe_inv h'a, ← ENNReal.coe_inv h'b, ←
ENNReal.coe_mul, mul_inv_rev, mul_comm]
simp [h'a, h'b]
#align ennreal.mul_inv ENNReal.mul_inv
protected theorem mul_div_mul_left (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) :
c * a / (c * b) = a / b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inl hc) (Or.inl hc'), mul_mul_mul_comm,
ENNReal.mul_inv_cancel hc hc', one_mul]
#align ennreal.mul_div_mul_left ENNReal.mul_div_mul_left
protected theorem mul_div_mul_right (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) :
a * c / (b * c) = a / b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inr hc') (Or.inr hc), mul_mul_mul_comm,
ENNReal.mul_inv_cancel hc hc', mul_one]
#align ennreal.mul_div_mul_right ENNReal.mul_div_mul_right
protected theorem sub_div (h : 0 < b → b < a → c ≠ 0) : (a - b) / c = a / c - b / c := by
simp_rw [div_eq_mul_inv]
exact ENNReal.sub_mul (by simpa using h)
#align ennreal.sub_div ENNReal.sub_div
@[simp]
protected theorem inv_pos : 0 < a⁻¹ ↔ a ≠ ∞ :=
pos_iff_ne_zero.trans ENNReal.inv_ne_zero
#align ennreal.inv_pos ENNReal.inv_pos
theorem inv_strictAnti : StrictAnti (Inv.inv : ℝ≥0∞ → ℝ≥0∞) := by
intro a b h
lift a to ℝ≥0 using h.ne_top
induction b; · simp
rw [coe_lt_coe] at h
rcases eq_or_ne a 0 with (rfl | ha); · simp [h]
rw [← coe_inv h.ne_bot, ← coe_inv ha, coe_lt_coe]
exact NNReal.inv_lt_inv ha h
#align ennreal.inv_strict_anti ENNReal.inv_strictAnti
@[simp]
protected theorem inv_lt_inv : a⁻¹ < b⁻¹ ↔ b < a :=
inv_strictAnti.lt_iff_lt
#align ennreal.inv_lt_inv ENNReal.inv_lt_inv
theorem inv_lt_iff_inv_lt : a⁻¹ < b ↔ b⁻¹ < a := by
simpa only [inv_inv] using @ENNReal.inv_lt_inv a b⁻¹
#align ennreal.inv_lt_iff_inv_lt ENNReal.inv_lt_iff_inv_lt
theorem lt_inv_iff_lt_inv : a < b⁻¹ ↔ b < a⁻¹ := by
simpa only [inv_inv] using @ENNReal.inv_lt_inv a⁻¹ b
#align ennreal.lt_inv_iff_lt_inv ENNReal.lt_inv_iff_lt_inv
@[simp]
protected theorem inv_le_inv : a⁻¹ ≤ b⁻¹ ↔ b ≤ a :=
inv_strictAnti.le_iff_le
#align ennreal.inv_le_inv ENNReal.inv_le_inv
theorem inv_le_iff_inv_le : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by
simpa only [inv_inv] using @ENNReal.inv_le_inv a b⁻¹
#align ennreal.inv_le_iff_inv_le ENNReal.inv_le_iff_inv_le
theorem le_inv_iff_le_inv : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by
simpa only [inv_inv] using @ENNReal.inv_le_inv a⁻¹ b
#align ennreal.le_inv_iff_le_inv ENNReal.le_inv_iff_le_inv
@[gcongr] protected theorem inv_le_inv' (h : a ≤ b) : b⁻¹ ≤ a⁻¹ :=
ENNReal.inv_strictAnti.antitone h
@[gcongr] protected theorem inv_lt_inv' (h : a < b) : b⁻¹ < a⁻¹ := ENNReal.inv_strictAnti h
@[simp]
protected theorem inv_le_one : a⁻¹ ≤ 1 ↔ 1 ≤ a := by rw [inv_le_iff_inv_le, inv_one]
#align ennreal.inv_le_one ENNReal.inv_le_one
protected theorem one_le_inv : 1 ≤ a⁻¹ ↔ a ≤ 1 := by rw [le_inv_iff_le_inv, inv_one]
#align ennreal.one_le_inv ENNReal.one_le_inv
@[simp]
protected theorem inv_lt_one : a⁻¹ < 1 ↔ 1 < a := by rw [inv_lt_iff_inv_lt, inv_one]
#align ennreal.inv_lt_one ENNReal.inv_lt_one
@[simp]
protected theorem one_lt_inv : 1 < a⁻¹ ↔ a < 1 := by rw [lt_inv_iff_lt_inv, inv_one]
#align ennreal.one_lt_inv ENNReal.one_lt_inv
@[simps! apply]
def _root_.OrderIso.invENNReal : ℝ≥0∞ ≃o ℝ≥0∞ᵒᵈ where
map_rel_iff' := ENNReal.inv_le_inv
toEquiv := (Equiv.inv ℝ≥0∞).trans OrderDual.toDual
#align order_iso.inv_ennreal OrderIso.invENNReal
#align order_iso.inv_ennreal_apply OrderIso.invENNReal_apply
@[simp]
theorem _root_.OrderIso.invENNReal_symm_apply (a : ℝ≥0∞ᵒᵈ) :
OrderIso.invENNReal.symm a = (OrderDual.ofDual a)⁻¹ :=
rfl
#align order_iso.inv_ennreal_symm_apply OrderIso.invENNReal_symm_apply
@[simp] theorem div_top : a / ∞ = 0 := by rw [div_eq_mul_inv, inv_top, mul_zero]
#align ennreal.div_top ENNReal.div_top
-- Porting note: reordered 4 lemmas
theorem top_div : ∞ / a = if a = ∞ then 0 else ∞ := by simp [div_eq_mul_inv, top_mul']
#align ennreal.top_div ENNReal.top_div
theorem top_div_of_ne_top (h : a ≠ ∞) : ∞ / a = ∞ := by simp [top_div, h]
#align ennreal.top_div_of_ne_top ENNReal.top_div_of_ne_top
@[simp] theorem top_div_coe : ∞ / p = ∞ := top_div_of_ne_top coe_ne_top
#align ennreal.top_div_coe ENNReal.top_div_coe
theorem top_div_of_lt_top (h : a < ∞) : ∞ / a = ∞ := top_div_of_ne_top h.ne
#align ennreal.top_div_of_lt_top ENNReal.top_div_of_lt_top
@[simp] protected theorem zero_div : 0 / a = 0 := zero_mul a⁻¹
#align ennreal.zero_div ENNReal.zero_div
theorem div_eq_top : a / b = ∞ ↔ a ≠ 0 ∧ b = 0 ∨ a = ∞ ∧ b ≠ ∞ := by
simp [div_eq_mul_inv, ENNReal.mul_eq_top]
#align ennreal.div_eq_top ENNReal.div_eq_top
protected theorem le_div_iff_mul_le (h0 : b ≠ 0 ∨ c ≠ 0) (ht : b ≠ ∞ ∨ c ≠ ∞) :
a ≤ c / b ↔ a * b ≤ c := by
induction' b with b
· lift c to ℝ≥0 using ht.neg_resolve_left rfl
rw [div_top, nonpos_iff_eq_zero]
rcases eq_or_ne a 0 with (rfl | ha) <;> simp [*]
rcases eq_or_ne b 0 with (rfl | hb)
· have hc : c ≠ 0 := h0.neg_resolve_left rfl
simp [div_zero hc]
· rw [← coe_ne_zero] at hb
rw [← ENNReal.mul_le_mul_right hb coe_ne_top, ENNReal.div_mul_cancel hb coe_ne_top]
#align ennreal.le_div_iff_mul_le ENNReal.le_div_iff_mul_le
protected theorem div_le_iff_le_mul (hb0 : b ≠ 0 ∨ c ≠ ∞) (hbt : b ≠ ∞ ∨ c ≠ 0) :
a / b ≤ c ↔ a ≤ c * b := by
suffices a * b⁻¹ ≤ c ↔ a ≤ c / b⁻¹ by simpa [div_eq_mul_inv]
refine (ENNReal.le_div_iff_mul_le ?_ ?_).symm <;> simpa
#align ennreal.div_le_iff_le_mul ENNReal.div_le_iff_le_mul
protected theorem lt_div_iff_mul_lt (hb0 : b ≠ 0 ∨ c ≠ ∞) (hbt : b ≠ ∞ ∨ c ≠ 0) :
c < a / b ↔ c * b < a :=
lt_iff_lt_of_le_iff_le (ENNReal.div_le_iff_le_mul hb0 hbt)
#align ennreal.lt_div_iff_mul_lt ENNReal.lt_div_iff_mul_lt
theorem div_le_of_le_mul (h : a ≤ b * c) : a / c ≤ b := by
by_cases h0 : c = 0
· have : a = 0 := by simpa [h0] using h
simp [*]
by_cases hinf : c = ∞; · simp [hinf]
exact (ENNReal.div_le_iff_le_mul (Or.inl h0) (Or.inl hinf)).2 h
#align ennreal.div_le_of_le_mul ENNReal.div_le_of_le_mul
theorem div_le_of_le_mul' (h : a ≤ b * c) : a / b ≤ c :=
div_le_of_le_mul <| mul_comm b c ▸ h
#align ennreal.div_le_of_le_mul' ENNReal.div_le_of_le_mul'
protected theorem div_self_le_one : a / a ≤ 1 := div_le_of_le_mul <| by rw [one_mul]
theorem mul_le_of_le_div (h : a ≤ b / c) : a * c ≤ b := by
rw [← inv_inv c]
exact div_le_of_le_mul h
#align ennreal.mul_le_of_le_div ENNReal.mul_le_of_le_div
theorem mul_le_of_le_div' (h : a ≤ b / c) : c * a ≤ b :=
mul_comm a c ▸ mul_le_of_le_div h
#align ennreal.mul_le_of_le_div' ENNReal.mul_le_of_le_div'
protected theorem div_lt_iff (h0 : b ≠ 0 ∨ c ≠ 0) (ht : b ≠ ∞ ∨ c ≠ ∞) : c / b < a ↔ c < a * b :=
lt_iff_lt_of_le_iff_le <| ENNReal.le_div_iff_mul_le h0 ht
#align ennreal.div_lt_iff ENNReal.div_lt_iff
theorem mul_lt_of_lt_div (h : a < b / c) : a * c < b := by
contrapose! h
exact ENNReal.div_le_of_le_mul h
#align ennreal.mul_lt_of_lt_div ENNReal.mul_lt_of_lt_div
theorem mul_lt_of_lt_div' (h : a < b / c) : c * a < b :=
mul_comm a c ▸ mul_lt_of_lt_div h
#align ennreal.mul_lt_of_lt_div' ENNReal.mul_lt_of_lt_div'
theorem div_lt_of_lt_mul (h : a < b * c) : a / c < b :=
mul_lt_of_lt_div <| by rwa [div_eq_mul_inv, inv_inv]
theorem div_lt_of_lt_mul' (h : a < b * c) : a / b < c :=
div_lt_of_lt_mul <| by rwa [mul_comm]
theorem inv_le_iff_le_mul (h₁ : b = ∞ → a ≠ 0) (h₂ : a = ∞ → b ≠ 0) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by
rw [← one_div, ENNReal.div_le_iff_le_mul, mul_comm]
exacts [or_not_of_imp h₁, not_or_of_imp h₂]
#align ennreal.inv_le_iff_le_mul ENNReal.inv_le_iff_le_mul
@[simp 900]
theorem le_inv_iff_mul_le : a ≤ b⁻¹ ↔ a * b ≤ 1 := by
rw [← one_div, ENNReal.le_div_iff_mul_le] <;>
· right
simp
#align ennreal.le_inv_iff_mul_le ENNReal.le_inv_iff_mul_le
@[gcongr] protected theorem div_le_div (hab : a ≤ b) (hdc : d ≤ c) : a / c ≤ b / d :=
div_eq_mul_inv b d ▸ div_eq_mul_inv a c ▸ mul_le_mul' hab (ENNReal.inv_le_inv.mpr hdc)
#align ennreal.div_le_div ENNReal.div_le_div
@[gcongr] protected theorem div_le_div_left (h : a ≤ b) (c : ℝ≥0∞) : c / b ≤ c / a :=
ENNReal.div_le_div le_rfl h
#align ennreal.div_le_div_left ENNReal.div_le_div_left
@[gcongr] protected theorem div_le_div_right (h : a ≤ b) (c : ℝ≥0∞) : a / c ≤ b / c :=
ENNReal.div_le_div h le_rfl
#align ennreal.div_le_div_right ENNReal.div_le_div_right
protected theorem eq_inv_of_mul_eq_one_left (h : a * b = 1) : a = b⁻¹ := by
rw [← mul_one a, ← ENNReal.mul_inv_cancel (right_ne_zero_of_mul_eq_one h), ← mul_assoc, h,
one_mul]
rintro rfl
simp [left_ne_zero_of_mul_eq_one h] at h
#align ennreal.eq_inv_of_mul_eq_one_left ENNReal.eq_inv_of_mul_eq_one_left
theorem mul_le_iff_le_inv {a b r : ℝ≥0∞} (hr₀ : r ≠ 0) (hr₁ : r ≠ ∞) : r * a ≤ b ↔ a ≤ r⁻¹ * b := by
rw [← @ENNReal.mul_le_mul_left _ a _ hr₀ hr₁, ← mul_assoc, ENNReal.mul_inv_cancel hr₀ hr₁,
one_mul]
#align ennreal.mul_le_iff_le_inv ENNReal.mul_le_iff_le_inv
instance : PosSMulStrictMono ℝ≥0 ℝ≥0∞ where
elim _r hr _a _b hab := ENNReal.mul_lt_mul_left' (coe_pos.2 hr).ne' coe_ne_top hab
instance : SMulPosMono ℝ≥0 ℝ≥0∞ where
elim _r _ _a _b hab := mul_le_mul_right' (coe_le_coe.2 hab) _
#align ennreal.le_inv_smul_iff_of_pos le_inv_smul_iff_of_pos
#align ennreal.inv_smul_le_iff_of_pos inv_smul_le_iff_of_pos
theorem le_of_forall_nnreal_lt {x y : ℝ≥0∞} (h : ∀ r : ℝ≥0, ↑r < x → ↑r ≤ y) : x ≤ y := by
refine le_of_forall_ge_of_dense fun r hr => ?_
lift r to ℝ≥0 using ne_top_of_lt hr
exact h r hr
#align ennreal.le_of_forall_nnreal_lt ENNReal.le_of_forall_nnreal_lt
theorem le_of_forall_pos_nnreal_lt {x y : ℝ≥0∞} (h : ∀ r : ℝ≥0, 0 < r → ↑r < x → ↑r ≤ y) : x ≤ y :=
le_of_forall_nnreal_lt fun r hr =>
(zero_le r).eq_or_lt.elim (fun h => h ▸ zero_le _) fun h0 => h r h0 hr
#align ennreal.le_of_forall_pos_nnreal_lt ENNReal.le_of_forall_pos_nnreal_lt
theorem eq_top_of_forall_nnreal_le {x : ℝ≥0∞} (h : ∀ r : ℝ≥0, ↑r ≤ x) : x = ∞ :=
top_unique <| le_of_forall_nnreal_lt fun r _ => h r
#align ennreal.eq_top_of_forall_nnreal_le ENNReal.eq_top_of_forall_nnreal_le
protected theorem add_div : (a + b) / c = a / c + b / c :=
right_distrib a b c⁻¹
#align ennreal.add_div ENNReal.add_div
protected theorem div_add_div_same {a b c : ℝ≥0∞} : a / c + b / c = (a + b) / c :=
ENNReal.add_div.symm
#align ennreal.div_add_div_same ENNReal.div_add_div_same
protected theorem div_self (h0 : a ≠ 0) (hI : a ≠ ∞) : a / a = 1 :=
ENNReal.mul_inv_cancel h0 hI
#align ennreal.div_self ENNReal.div_self
theorem mul_div_le : a * (b / a) ≤ b :=
mul_le_of_le_div' le_rfl
#align ennreal.mul_div_le ENNReal.mul_div_le
theorem eq_div_iff (ha : a ≠ 0) (ha' : a ≠ ∞) : b = c / a ↔ a * b = c :=
⟨fun h => by rw [h, ENNReal.mul_div_cancel' ha ha'], fun h => by
rw [← h, mul_div_assoc, ENNReal.mul_div_cancel' ha ha']⟩
#align ennreal.eq_div_iff ENNReal.eq_div_iff
protected theorem div_eq_div_iff (ha : a ≠ 0) (ha' : a ≠ ∞) (hb : b ≠ 0) (hb' : b ≠ ∞) :
c / b = d / a ↔ a * c = b * d := by
rw [eq_div_iff ha ha']
conv_rhs => rw [eq_comm]
rw [← eq_div_iff hb hb', mul_div_assoc, eq_comm]
#align ennreal.div_eq_div_iff ENNReal.div_eq_div_iff
theorem div_eq_one_iff {a b : ℝ≥0∞} (hb₀ : b ≠ 0) (hb₁ : b ≠ ∞) : a / b = 1 ↔ a = b :=
⟨fun h => by rw [← (eq_div_iff hb₀ hb₁).mp h.symm, mul_one], fun h =>
h.symm ▸ ENNReal.div_self hb₀ hb₁⟩
#align ennreal.div_eq_one_iff ENNReal.div_eq_one_iff
theorem inv_two_add_inv_two : (2 : ℝ≥0∞)⁻¹ + 2⁻¹ = 1 := by
rw [← two_mul, ← div_eq_mul_inv, ENNReal.div_self two_ne_zero two_ne_top]
#align ennreal.inv_two_add_inv_two ENNReal.inv_two_add_inv_two
| Mathlib/Data/ENNReal/Inv.lean | 455 | 457 | theorem inv_three_add_inv_three : (3 : ℝ≥0∞)⁻¹ + 3⁻¹ + 3⁻¹ = 1 :=
calc (3 : ℝ≥0∞)⁻¹ + 3⁻¹ + 3⁻¹ = 3 * 3⁻¹ := by | ring
_ = 1 := ENNReal.mul_inv_cancel (Nat.cast_ne_zero.2 <| by decide) coe_ne_top
|
import Mathlib.GroupTheory.Submonoid.Inverses
import Mathlib.RingTheory.FiniteType
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.inv_submonoid from "leanprover-community/mathlib"@"6e7ca692c98bbf8a64868f61a67fb9c33b10770d"
variable {R : Type*} [CommRing R] (M : Submonoid R) (S : Type*) [CommRing S]
variable [Algebra R S] {P : Type*} [CommRing P]
open Function
namespace IsLocalization
section InvSubmonoid
def invSubmonoid : Submonoid S :=
(M.map (algebraMap R S)).leftInv
#align is_localization.inv_submonoid IsLocalization.invSubmonoid
variable [IsLocalization M S]
theorem submonoid_map_le_is_unit : M.map (algebraMap R S) ≤ IsUnit.submonoid S := by
rintro _ ⟨a, ha, rfl⟩
exact IsLocalization.map_units S ⟨_, ha⟩
#align is_localization.submonoid_map_le_is_unit IsLocalization.submonoid_map_le_is_unit
noncomputable abbrev equivInvSubmonoid : M.map (algebraMap R S) ≃* invSubmonoid M S :=
((M.map (algebraMap R S)).leftInvEquiv (submonoid_map_le_is_unit M S)).symm
#align is_localization.equiv_inv_submonoid IsLocalization.equivInvSubmonoid
noncomputable def toInvSubmonoid : M →* invSubmonoid M S :=
(equivInvSubmonoid M S).toMonoidHom.comp ((algebraMap R S : R →* S).submonoidMap M)
#align is_localization.to_inv_submonoid IsLocalization.toInvSubmonoid
theorem toInvSubmonoid_surjective : Function.Surjective (toInvSubmonoid M S) :=
Function.Surjective.comp (β := M.map (algebraMap R S))
(Equiv.surjective (equivInvSubmonoid _ _).toEquiv) (MonoidHom.submonoidMap_surjective _ _)
#align is_localization.to_inv_submonoid_surjective IsLocalization.toInvSubmonoid_surjective
@[simp]
theorem toInvSubmonoid_mul (m : M) : (toInvSubmonoid M S m : S) * algebraMap R S m = 1 :=
Submonoid.leftInvEquiv_symm_mul _ (submonoid_map_le_is_unit _ _) _
#align is_localization.to_inv_submonoid_mul IsLocalization.toInvSubmonoid_mul
@[simp]
theorem mul_toInvSubmonoid (m : M) : algebraMap R S m * (toInvSubmonoid M S m : S) = 1 :=
Submonoid.mul_leftInvEquiv_symm _ (submonoid_map_le_is_unit _ _) ⟨_, _⟩
#align is_localization.mul_to_inv_submonoid IsLocalization.mul_toInvSubmonoid
@[simp]
theorem smul_toInvSubmonoid (m : M) : m • (toInvSubmonoid M S m : S) = 1 := by
convert mul_toInvSubmonoid M S m
ext
rw [← Algebra.smul_def]
rfl
#align is_localization.smul_to_inv_submonoid IsLocalization.smul_toInvSubmonoid
variable {S}
-- Porting note: `surj'` was taken, so use `surj''` instead
theorem surj'' (z : S) : ∃ (r : R) (m : M), z = r • (toInvSubmonoid M S m : S) := by
rcases IsLocalization.surj M z with ⟨⟨r, m⟩, e : z * _ = algebraMap R S r⟩
refine ⟨r, m, ?_⟩
rw [Algebra.smul_def, ← e, mul_assoc]
simp
#align is_localization.surj' IsLocalization.surj''
| Mathlib/RingTheory/Localization/InvSubmonoid.lean | 94 | 96 | theorem toInvSubmonoid_eq_mk' (x : M) : (toInvSubmonoid M S x : S) = mk' S 1 x := by |
rw [← (IsLocalization.map_units S x).mul_left_inj]
simp
|
import Mathlib.Data.Finset.Basic
import Mathlib.ModelTheory.Syntax
import Mathlib.Data.List.ProdSigma
#align_import model_theory.semantics from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728"
universe u v w u' v'
namespace FirstOrder
namespace Language
variable {L : Language.{u, v}} {L' : Language}
variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P]
variable {α : Type u'} {β : Type v'} {γ : Type*}
open FirstOrder Cardinal
open Structure Cardinal Fin
namespace Term
-- Porting note: universes in different order
def realize (v : α → M) : ∀ _t : L.Term α, M
| var k => v k
| func f ts => funMap f fun i => (ts i).realize v
#align first_order.language.term.realize FirstOrder.Language.Term.realize
@[simp]
theorem realize_var (v : α → M) (k) : realize v (var k : L.Term α) = v k := rfl
@[simp]
theorem realize_func (v : α → M) {n} (f : L.Functions n) (ts) :
realize v (func f ts : L.Term α) = funMap f fun i => (ts i).realize v := rfl
@[simp]
theorem realize_relabel {t : L.Term α} {g : α → β} {v : β → M} :
(t.relabel g).realize v = t.realize (v ∘ g) := by
induction' t with _ n f ts ih
· rfl
· simp [ih]
#align first_order.language.term.realize_relabel FirstOrder.Language.Term.realize_relabel
@[simp]
theorem realize_liftAt {n n' m : ℕ} {t : L.Term (Sum α (Fin n))} {v : Sum α (Fin (n + n')) → M} :
(t.liftAt n' m).realize v =
t.realize (v ∘ Sum.map id fun i : Fin _ =>
if ↑i < m then Fin.castAdd n' i else Fin.addNat i n') :=
realize_relabel
#align first_order.language.term.realize_lift_at FirstOrder.Language.Term.realize_liftAt
@[simp]
theorem realize_constants {c : L.Constants} {v : α → M} : c.term.realize v = c :=
funMap_eq_coe_constants
#align first_order.language.term.realize_constants FirstOrder.Language.Term.realize_constants
@[simp]
theorem realize_functions_apply₁ {f : L.Functions 1} {t : L.Term α} {v : α → M} :
(f.apply₁ t).realize v = funMap f ![t.realize v] := by
rw [Functions.apply₁, Term.realize]
refine congr rfl (funext fun i => ?_)
simp only [Matrix.cons_val_fin_one]
#align first_order.language.term.realize_functions_apply₁ FirstOrder.Language.Term.realize_functions_apply₁
@[simp]
theorem realize_functions_apply₂ {f : L.Functions 2} {t₁ t₂ : L.Term α} {v : α → M} :
(f.apply₂ t₁ t₂).realize v = funMap f ![t₁.realize v, t₂.realize v] := by
rw [Functions.apply₂, Term.realize]
refine congr rfl (funext (Fin.cases ?_ ?_))
· simp only [Matrix.cons_val_zero]
· simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const]
#align first_order.language.term.realize_functions_apply₂ FirstOrder.Language.Term.realize_functions_apply₂
theorem realize_con {A : Set M} {a : A} {v : α → M} : (L.con a).term.realize v = a :=
rfl
#align first_order.language.term.realize_con FirstOrder.Language.Term.realize_con
@[simp]
| Mathlib/ModelTheory/Semantics.lean | 130 | 134 | theorem realize_subst {t : L.Term α} {tf : α → L.Term β} {v : β → M} :
(t.subst tf).realize v = t.realize fun a => (tf a).realize v := by |
induction' t with _ _ _ _ ih
· rfl
· simp [ih]
|
import Mathlib.Algebra.Order.AbsoluteValue
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
import Mathlib.Algebra.Ring.Pi
import Mathlib.GroupTheory.GroupAction.Pi
import Mathlib.GroupTheory.GroupAction.Ring
import Mathlib.Init.Align
import Mathlib.Tactic.GCongr
import Mathlib.Tactic.Ring
#align_import data.real.cau_seq from "leanprover-community/mathlib"@"9116dd6709f303dcf781632e15fdef382b0fc579"
assert_not_exists Finset
assert_not_exists Module
assert_not_exists Submonoid
assert_not_exists FloorRing
variable {α β : Type*}
open IsAbsoluteValue
section
variable [LinearOrderedField α] [Ring β] (abv : β → α) [IsAbsoluteValue abv]
theorem rat_add_continuous_lemma {ε : α} (ε0 : 0 < ε) :
∃ δ > 0, ∀ {a₁ a₂ b₁ b₂ : β}, abv (a₁ - b₁) < δ → abv (a₂ - b₂) < δ →
abv (a₁ + a₂ - (b₁ + b₂)) < ε :=
⟨ε / 2, half_pos ε0, fun {a₁ a₂ b₁ b₂} h₁ h₂ => by
simpa [add_halves, sub_eq_add_neg, add_comm, add_left_comm, add_assoc] using
lt_of_le_of_lt (abv_add abv _ _) (add_lt_add h₁ h₂)⟩
#align rat_add_continuous_lemma rat_add_continuous_lemma
| Mathlib/Algebra/Order/CauSeq/Basic.lean | 58 | 71 | theorem rat_mul_continuous_lemma {ε K₁ K₂ : α} (ε0 : 0 < ε) :
∃ δ > 0, ∀ {a₁ a₂ b₁ b₂ : β}, abv a₁ < K₁ → abv b₂ < K₂ → abv (a₁ - b₁) < δ →
abv (a₂ - b₂) < δ → abv (a₁ * a₂ - b₁ * b₂) < ε := by |
have K0 : (0 : α) < max 1 (max K₁ K₂) := lt_of_lt_of_le zero_lt_one (le_max_left _ _)
have εK := div_pos (half_pos ε0) K0
refine ⟨_, εK, fun {a₁ a₂ b₁ b₂} ha₁ hb₂ h₁ h₂ => ?_⟩
replace ha₁ := lt_of_lt_of_le ha₁ (le_trans (le_max_left _ K₂) (le_max_right 1 _))
replace hb₂ := lt_of_lt_of_le hb₂ (le_trans (le_max_right K₁ _) (le_max_right 1 _))
set M := max 1 (max K₁ K₂)
have : abv (a₁ - b₁) * abv b₂ + abv (a₂ - b₂) * abv a₁ < ε / 2 / M * M + ε / 2 / M * M := by
gcongr
rw [← abv_mul abv, mul_comm, div_mul_cancel₀ _ (ne_of_gt K0), ← abv_mul abv, add_halves] at this
simpa [sub_eq_add_neg, mul_add, add_mul, add_left_comm] using
lt_of_le_of_lt (abv_add abv _ _) this
|
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Sign
import Mathlib.LinearAlgebra.AffineSpace.Combination
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Finset Function
open scoped Affine
section AffineIndependent
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
def AffineIndependent (p : ι → P) : Prop :=
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0
#align affine_independent AffineIndependent
theorem affineIndependent_def (p : ι → P) :
AffineIndependent k p ↔
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 :=
Iff.rfl
#align affine_independent_def affineIndependent_def
theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p :=
fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi
#align affine_independent_of_subsingleton affineIndependent_of_subsingleton
theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔
∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by
constructor
· exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _)
· intro h s w hw hs i hi
rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs
rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw
replace h := h ((↑s : Set ι).indicator w) hw hs i
simpa [hi] using h
#align affine_independent_iff_of_fintype affineIndependent_iff_of_fintype
theorem affineIndependent_iff_linearIndependent_vsub (p : ι → P) (i1 : ι) :
AffineIndependent k p ↔ LinearIndependent k fun i : { x // x ≠ i1 } => (p i -ᵥ p i1 : V) := by
classical
constructor
· intro h
rw [linearIndependent_iff']
intro s g hg i hi
set f : ι → k := fun x => if hx : x = i1 then -∑ y ∈ s, g y else g ⟨x, hx⟩ with hfdef
let s2 : Finset ι := insert i1 (s.map (Embedding.subtype _))
have hfg : ∀ x : { x // x ≠ i1 }, g x = f x := by
intro x
rw [hfdef]
dsimp only
erw [dif_neg x.property, Subtype.coe_eta]
rw [hfg]
have hf : ∑ ι ∈ s2, f ι = 0 := by
rw [Finset.sum_insert
(Finset.not_mem_map_subtype_of_not_property s (Classical.not_not.2 rfl)),
Finset.sum_subtype_map_embedding fun x _ => (hfg x).symm]
rw [hfdef]
dsimp only
rw [dif_pos rfl]
exact neg_add_self _
have hs2 : s2.weightedVSub p f = (0 : V) := by
set f2 : ι → V := fun x => f x • (p x -ᵥ p i1) with hf2def
set g2 : { x // x ≠ i1 } → V := fun x => g x • (p x -ᵥ p i1)
have hf2g2 : ∀ x : { x // x ≠ i1 }, f2 x = g2 x := by
simp only [g2, hf2def]
refine fun x => ?_
rw [hfg]
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s2 f p hf (p i1),
Finset.weightedVSubOfPoint_insert, Finset.weightedVSubOfPoint_apply,
Finset.sum_subtype_map_embedding fun x _ => hf2g2 x]
exact hg
exact h s2 f hf hs2 i (Finset.mem_insert_of_mem (Finset.mem_map.2 ⟨i, hi, rfl⟩))
· intro h
rw [linearIndependent_iff'] at h
intro s w hw hs i hi
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s w p hw (p i1), ←
s.weightedVSubOfPoint_erase w p i1, Finset.weightedVSubOfPoint_apply] at hs
let f : ι → V := fun i => w i • (p i -ᵥ p i1)
have hs2 : (∑ i ∈ (s.erase i1).subtype fun i => i ≠ i1, f i) = 0 := by
rw [← hs]
convert Finset.sum_subtype_of_mem f fun x => Finset.ne_of_mem_erase
have h2 := h ((s.erase i1).subtype fun i => i ≠ i1) (fun x => w x) hs2
simp_rw [Finset.mem_subtype] at h2
have h2b : ∀ i ∈ s, i ≠ i1 → w i = 0 := fun i his hi =>
h2 ⟨i, hi⟩ (Finset.mem_erase_of_ne_of_mem hi his)
exact Finset.eq_zero_of_sum_eq_zero hw h2b i hi
#align affine_independent_iff_linear_independent_vsub affineIndependent_iff_linearIndependent_vsub
theorem affineIndependent_set_iff_linearIndependent_vsub {s : Set P} {p₁ : P} (hp₁ : p₁ ∈ s) :
AffineIndependent k (fun p => p : s → P) ↔
LinearIndependent k (fun v => v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → V) := by
rw [affineIndependent_iff_linearIndependent_vsub k (fun p => p : s → P) ⟨p₁, hp₁⟩]
constructor
· intro h
have hv : ∀ v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}), (v : V) +ᵥ p₁ ∈ s \ {p₁} := fun v =>
(vsub_left_injective p₁).mem_set_image.1 ((vadd_vsub (v : V) p₁).symm ▸ v.property)
let f : (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → { x : s // x ≠ ⟨p₁, hp₁⟩ } := fun x =>
⟨⟨(x : V) +ᵥ p₁, Set.mem_of_mem_diff (hv x)⟩, fun hx =>
Set.not_mem_of_mem_diff (hv x) (Subtype.ext_iff.1 hx)⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (vadd_right_cancel p₁ (Subtype.ext_iff.1 (Subtype.ext_iff.1 hx)))
ext v
exact (vadd_vsub (v : V) p₁).symm
· intro h
let f : { x : s // x ≠ ⟨p₁, hp₁⟩ } → (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) := fun x =>
⟨((x : s) : P) -ᵥ p₁, ⟨x, ⟨⟨(x : s).property, fun hx => x.property (Subtype.ext hx)⟩, rfl⟩⟩⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (Subtype.ext (vsub_left_cancel (Subtype.ext_iff.1 hx)))
#align affine_independent_set_iff_linear_independent_vsub affineIndependent_set_iff_linearIndependent_vsub
theorem linearIndependent_set_iff_affineIndependent_vadd_union_singleton {s : Set V}
(hs : ∀ v ∈ s, v ≠ (0 : V)) (p₁ : P) : LinearIndependent k (fun v => v : s → V) ↔
AffineIndependent k (fun p => p : ({p₁} ∪ (fun v => v +ᵥ p₁) '' s : Set P) → P) := by
rw [affineIndependent_set_iff_linearIndependent_vsub k
(Set.mem_union_left _ (Set.mem_singleton p₁))]
have h : (fun p => (p -ᵥ p₁ : V)) '' (({p₁} ∪ (fun v => v +ᵥ p₁) '' s) \ {p₁}) = s := by
simp_rw [Set.union_diff_left, Set.image_diff (vsub_left_injective p₁), Set.image_image,
Set.image_singleton, vsub_self, vadd_vsub, Set.image_id']
exact Set.diff_singleton_eq_self fun h => hs 0 h rfl
rw [h]
#align linear_independent_set_iff_affine_independent_vadd_union_singleton linearIndependent_set_iff_affineIndependent_vadd_union_singleton
theorem affineIndependent_iff_indicator_eq_of_affineCombination_eq (p : ι → P) :
AffineIndependent k p ↔
∀ (s1 s2 : Finset ι) (w1 w2 : ι → k),
∑ i ∈ s1, w1 i = 1 →
∑ i ∈ s2, w2 i = 1 →
s1.affineCombination k p w1 = s2.affineCombination k p w2 →
Set.indicator (↑s1) w1 = Set.indicator (↑s2) w2 := by
classical
constructor
· intro ha s1 s2 w1 w2 hw1 hw2 heq
ext i
by_cases hi : i ∈ s1 ∪ s2
· rw [← sub_eq_zero]
rw [← Finset.sum_indicator_subset w1 (s1.subset_union_left (s₂:=s2))] at hw1
rw [← Finset.sum_indicator_subset w2 (s1.subset_union_right)] at hw2
have hws : (∑ i ∈ s1 ∪ s2, (Set.indicator (↑s1) w1 - Set.indicator (↑s2) w2) i) = 0 := by
simp [hw1, hw2]
rw [Finset.affineCombination_indicator_subset w1 p (s1.subset_union_left (s₂:=s2)),
Finset.affineCombination_indicator_subset w2 p s1.subset_union_right,
← @vsub_eq_zero_iff_eq V, Finset.affineCombination_vsub] at heq
exact ha (s1 ∪ s2) (Set.indicator (↑s1) w1 - Set.indicator (↑s2) w2) hws heq i hi
· rw [← Finset.mem_coe, Finset.coe_union] at hi
have h₁ : Set.indicator (↑s1) w1 i = 0 := by
simp only [Set.indicator, Finset.mem_coe, ite_eq_right_iff]
intro h
by_contra
exact (mt (@Set.mem_union_left _ i ↑s1 ↑s2) hi) h
have h₂ : Set.indicator (↑s2) w2 i = 0 := by
simp only [Set.indicator, Finset.mem_coe, ite_eq_right_iff]
intro h
by_contra
exact (mt (@Set.mem_union_right _ i ↑s2 ↑s1) hi) h
simp [h₁, h₂]
· intro ha s w hw hs i0 hi0
let w1 : ι → k := Function.update (Function.const ι 0) i0 1
have hw1 : ∑ i ∈ s, w1 i = 1 := by
rw [Finset.sum_update_of_mem hi0]
simp only [Finset.sum_const_zero, add_zero, const_apply]
have hw1s : s.affineCombination k p w1 = p i0 :=
s.affineCombination_of_eq_one_of_eq_zero w1 p hi0 (Function.update_same _ _ _)
fun _ _ hne => Function.update_noteq hne _ _
let w2 := w + w1
have hw2 : ∑ i ∈ s, w2 i = 1 := by
simp_all only [w2, Pi.add_apply, Finset.sum_add_distrib, zero_add]
have hw2s : s.affineCombination k p w2 = p i0 := by
simp_all only [w2, ← Finset.weightedVSub_vadd_affineCombination, zero_vadd]
replace ha := ha s s w2 w1 hw2 hw1 (hw1s.symm ▸ hw2s)
have hws : w2 i0 - w1 i0 = 0 := by
rw [← Finset.mem_coe] at hi0
rw [← Set.indicator_of_mem hi0 w2, ← Set.indicator_of_mem hi0 w1, ha, sub_self]
simpa [w2] using hws
#align affine_independent_iff_indicator_eq_of_affine_combination_eq affineIndependent_iff_indicator_eq_of_affineCombination_eq
theorem affineIndependent_iff_eq_of_fintype_affineCombination_eq [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔ ∀ w1 w2 : ι → k, ∑ i, w1 i = 1 → ∑ i, w2 i = 1 →
Finset.univ.affineCombination k p w1 = Finset.univ.affineCombination k p w2 → w1 = w2 := by
rw [affineIndependent_iff_indicator_eq_of_affineCombination_eq]
constructor
· intro h w1 w2 hw1 hw2 hweq
simpa only [Set.indicator_univ, Finset.coe_univ] using h _ _ w1 w2 hw1 hw2 hweq
· intro h s1 s2 w1 w2 hw1 hw2 hweq
have hw1' : (∑ i, (s1 : Set ι).indicator w1 i) = 1 := by
rwa [Finset.sum_indicator_subset _ (Finset.subset_univ s1)]
have hw2' : (∑ i, (s2 : Set ι).indicator w2 i) = 1 := by
rwa [Finset.sum_indicator_subset _ (Finset.subset_univ s2)]
rw [Finset.affineCombination_indicator_subset w1 p (Finset.subset_univ s1),
Finset.affineCombination_indicator_subset w2 p (Finset.subset_univ s2)] at hweq
exact h _ _ hw1' hw2' hweq
#align affine_independent_iff_eq_of_fintype_affine_combination_eq affineIndependent_iff_eq_of_fintype_affineCombination_eq
variable {k}
theorem AffineIndependent.units_lineMap {p : ι → P} (hp : AffineIndependent k p) (j : ι)
(w : ι → Units k) : AffineIndependent k fun i => AffineMap.lineMap (p j) (p i) (w i : k) := by
rw [affineIndependent_iff_linearIndependent_vsub k _ j] at hp ⊢
simp only [AffineMap.lineMap_vsub_left, AffineMap.coe_const, AffineMap.lineMap_same, const_apply]
exact hp.units_smul fun i => w i
#align affine_independent.units_line_map AffineIndependent.units_lineMap
theorem AffineIndependent.indicator_eq_of_affineCombination_eq {p : ι → P}
(ha : AffineIndependent k p) (s₁ s₂ : Finset ι) (w₁ w₂ : ι → k) (hw₁ : ∑ i ∈ s₁, w₁ i = 1)
(hw₂ : ∑ i ∈ s₂, w₂ i = 1) (h : s₁.affineCombination k p w₁ = s₂.affineCombination k p w₂) :
Set.indicator (↑s₁) w₁ = Set.indicator (↑s₂) w₂ :=
(affineIndependent_iff_indicator_eq_of_affineCombination_eq k p).1 ha s₁ s₂ w₁ w₂ hw₁ hw₂ h
#align affine_independent.indicator_eq_of_affine_combination_eq AffineIndependent.indicator_eq_of_affineCombination_eq
protected theorem AffineIndependent.injective [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) : Function.Injective p := by
intro i j hij
rw [affineIndependent_iff_linearIndependent_vsub _ _ j] at ha
by_contra hij'
refine ha.ne_zero ⟨i, hij'⟩ (vsub_eq_zero_iff_eq.mpr ?_)
simp_all only [ne_eq]
#align affine_independent.injective AffineIndependent.injective
theorem AffineIndependent.comp_embedding {ι2 : Type*} (f : ι2 ↪ ι) {p : ι → P}
(ha : AffineIndependent k p) : AffineIndependent k (p ∘ f) := by
classical
intro fs w hw hs i0 hi0
let fs' := fs.map f
let w' i := if h : ∃ i2, f i2 = i then w h.choose else 0
have hw' : ∀ i2 : ι2, w' (f i2) = w i2 := by
intro i2
have h : ∃ i : ι2, f i = f i2 := ⟨i2, rfl⟩
have hs : h.choose = i2 := f.injective h.choose_spec
simp_rw [w', dif_pos h, hs]
have hw's : ∑ i ∈ fs', w' i = 0 := by
rw [← hw, Finset.sum_map]
simp [hw']
have hs' : fs'.weightedVSub p w' = (0 : V) := by
rw [← hs, Finset.weightedVSub_map]
congr with i
simp_all only [comp_apply, EmbeddingLike.apply_eq_iff_eq, exists_eq, dite_true]
rw [← ha fs' w' hw's hs' (f i0) ((Finset.mem_map' _).2 hi0), hw']
#align affine_independent.comp_embedding AffineIndependent.comp_embedding
protected theorem AffineIndependent.subtype {p : ι → P} (ha : AffineIndependent k p) (s : Set ι) :
AffineIndependent k fun i : s => p i :=
ha.comp_embedding (Embedding.subtype _)
#align affine_independent.subtype AffineIndependent.subtype
protected theorem AffineIndependent.range {p : ι → P} (ha : AffineIndependent k p) :
AffineIndependent k (fun x => x : Set.range p → P) := by
let f : Set.range p → ι := fun x => x.property.choose
have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec
let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩
convert ha.comp_embedding fe
ext
simp [fe, hf]
#align affine_independent.range AffineIndependent.range
theorem affineIndependent_equiv {ι' : Type*} (e : ι ≃ ι') {p : ι' → P} :
AffineIndependent k (p ∘ e) ↔ AffineIndependent k p := by
refine ⟨?_, AffineIndependent.comp_embedding e.toEmbedding⟩
intro h
have : p = p ∘ e ∘ e.symm.toEmbedding := by
ext
simp
rw [this]
exact h.comp_embedding e.symm.toEmbedding
#align affine_independent_equiv affineIndependent_equiv
protected theorem AffineIndependent.mono {s t : Set P}
(ha : AffineIndependent k (fun x => x : t → P)) (hs : s ⊆ t) :
AffineIndependent k (fun x => x : s → P) :=
ha.comp_embedding (s.embeddingOfSubset t hs)
#align affine_independent.mono AffineIndependent.mono
theorem AffineIndependent.of_set_of_injective {p : ι → P}
(ha : AffineIndependent k (fun x => x : Set.range p → P)) (hi : Function.Injective p) :
AffineIndependent k p :=
ha.comp_embedding
(⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ :
ι ↪ Set.range p)
#align affine_independent.of_set_of_injective AffineIndependent.of_set_of_injective
section DivisionRing
variable {k : Type*} {V : Type*} {P : Type*} [DivisionRing k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
theorem exists_subset_affineIndependent_affineSpan_eq_top {s : Set P}
(h : AffineIndependent k (fun p => p : s → P)) :
∃ t : Set P, s ⊆ t ∧ AffineIndependent k (fun p => p : t → P) ∧ affineSpan k t = ⊤ := by
rcases s.eq_empty_or_nonempty with (rfl | ⟨p₁, hp₁⟩)
· have p₁ : P := AddTorsor.nonempty.some
let hsv := Basis.ofVectorSpace k V
have hsvi := hsv.linearIndependent
have hsvt := hsv.span_eq
rw [Basis.coe_ofVectorSpace] at hsvi hsvt
have h0 : ∀ v : V, v ∈ Basis.ofVectorSpaceIndex k V → v ≠ 0 := by
intro v hv
simpa [hsv] using hsv.ne_zero ⟨v, hv⟩
rw [linearIndependent_set_iff_affineIndependent_vadd_union_singleton k h0 p₁] at hsvi
exact
⟨{p₁} ∪ (fun v => v +ᵥ p₁) '' _, Set.empty_subset _, hsvi,
affineSpan_singleton_union_vadd_eq_top_of_span_eq_top p₁ hsvt⟩
· rw [affineIndependent_set_iff_linearIndependent_vsub k hp₁] at h
let bsv := Basis.extend h
have hsvi := bsv.linearIndependent
have hsvt := bsv.span_eq
rw [Basis.coe_extend] at hsvi hsvt
have hsv := h.subset_extend (Set.subset_univ _)
have h0 : ∀ v : V, v ∈ h.extend (Set.subset_univ _) → v ≠ 0 := by
intro v hv
simpa [bsv] using bsv.ne_zero ⟨v, hv⟩
rw [linearIndependent_set_iff_affineIndependent_vadd_union_singleton k h0 p₁] at hsvi
refine ⟨{p₁} ∪ (fun v => v +ᵥ p₁) '' h.extend (Set.subset_univ _), ?_, ?_⟩
· refine Set.Subset.trans ?_ (Set.union_subset_union_right _ (Set.image_subset _ hsv))
simp [Set.image_image]
· use hsvi
exact affineSpan_singleton_union_vadd_eq_top_of_span_eq_top p₁ hsvt
#align exists_subset_affine_independent_affine_span_eq_top exists_subset_affineIndependent_affineSpan_eq_top
variable (k V)
theorem exists_affineIndependent (s : Set P) :
∃ t ⊆ s, affineSpan k t = affineSpan k s ∧ AffineIndependent k ((↑) : t → P) := by
rcases s.eq_empty_or_nonempty with (rfl | ⟨p, hp⟩)
· exact ⟨∅, Set.empty_subset ∅, rfl, affineIndependent_of_subsingleton k _⟩
obtain ⟨b, hb₁, hb₂, hb₃⟩ := exists_linearIndependent k ((Equiv.vaddConst p).symm '' s)
have hb₀ : ∀ v : V, v ∈ b → v ≠ 0 := fun v hv => hb₃.ne_zero (⟨v, hv⟩ : b)
rw [linearIndependent_set_iff_affineIndependent_vadd_union_singleton k hb₀ p] at hb₃
refine ⟨{p} ∪ Equiv.vaddConst p '' b, ?_, ?_, hb₃⟩
· apply Set.union_subset (Set.singleton_subset_iff.mpr hp)
rwa [← (Equiv.vaddConst p).subset_symm_image b s]
· rw [Equiv.coe_vaddConst_symm, ← vectorSpan_eq_span_vsub_set_right k hp] at hb₂
apply AffineSubspace.ext_of_direction_eq
· have : Submodule.span k b = Submodule.span k (insert 0 b) := by simp
simp only [direction_affineSpan, ← hb₂, Equiv.coe_vaddConst, Set.singleton_union,
vectorSpan_eq_span_vsub_set_right k (Set.mem_insert p _), this]
congr
change (Equiv.vaddConst p).symm '' insert p (Equiv.vaddConst p '' b) = _
rw [Set.image_insert_eq, ← Set.image_comp]
simp
· use p
simp only [Equiv.coe_vaddConst, Set.singleton_union, Set.mem_inter_iff, coe_affineSpan]
exact ⟨mem_spanPoints k _ _ (Set.mem_insert p _), mem_spanPoints k _ _ hp⟩
#align exists_affine_independent exists_affineIndependent
variable {V}
| Mathlib/LinearAlgebra/AffineSpace/Independent.lean | 634 | 646 | theorem affineIndependent_of_ne {p₁ p₂ : P} (h : p₁ ≠ p₂) : AffineIndependent k ![p₁, p₂] := by |
rw [affineIndependent_iff_linearIndependent_vsub k ![p₁, p₂] 0]
let i₁ : { x // x ≠ (0 : Fin 2) } := ⟨1, by norm_num⟩
have he' : ∀ i, i = i₁ := by
rintro ⟨i, hi⟩
ext
fin_cases i
· simp at hi
· simp only [Fin.val_one]
haveI : Unique { x // x ≠ (0 : Fin 2) } := ⟨⟨i₁⟩, he'⟩
apply linearIndependent_unique
rw [he' default]
simpa using h.symm
|
import Mathlib.Data.Set.Image
import Mathlib.Order.SuccPred.Relation
import Mathlib.Topology.Clopen
import Mathlib.Topology.Irreducible
#align_import topology.connected from "leanprover-community/mathlib"@"d101e93197bb5f6ea89bd7ba386b7f7dff1f3903"
open Set Function Topology TopologicalSpace Relation
open scoped Classical
universe u v
variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α]
{s t u v : Set α}
section Preconnected
def IsPreconnected (s : Set α) : Prop :=
∀ u v : Set α, IsOpen u → IsOpen v → s ⊆ u ∪ v → (s ∩ u).Nonempty → (s ∩ v).Nonempty →
(s ∩ (u ∩ v)).Nonempty
#align is_preconnected IsPreconnected
def IsConnected (s : Set α) : Prop :=
s.Nonempty ∧ IsPreconnected s
#align is_connected IsConnected
theorem IsConnected.nonempty {s : Set α} (h : IsConnected s) : s.Nonempty :=
h.1
#align is_connected.nonempty IsConnected.nonempty
theorem IsConnected.isPreconnected {s : Set α} (h : IsConnected s) : IsPreconnected s :=
h.2
#align is_connected.is_preconnected IsConnected.isPreconnected
theorem IsPreirreducible.isPreconnected {s : Set α} (H : IsPreirreducible s) : IsPreconnected s :=
fun _ _ hu hv _ => H _ _ hu hv
#align is_preirreducible.is_preconnected IsPreirreducible.isPreconnected
theorem IsIrreducible.isConnected {s : Set α} (H : IsIrreducible s) : IsConnected s :=
⟨H.nonempty, H.isPreirreducible.isPreconnected⟩
#align is_irreducible.is_connected IsIrreducible.isConnected
theorem isPreconnected_empty : IsPreconnected (∅ : Set α) :=
isPreirreducible_empty.isPreconnected
#align is_preconnected_empty isPreconnected_empty
theorem isConnected_singleton {x} : IsConnected ({x} : Set α) :=
isIrreducible_singleton.isConnected
#align is_connected_singleton isConnected_singleton
theorem isPreconnected_singleton {x} : IsPreconnected ({x} : Set α) :=
isConnected_singleton.isPreconnected
#align is_preconnected_singleton isPreconnected_singleton
theorem Set.Subsingleton.isPreconnected {s : Set α} (hs : s.Subsingleton) : IsPreconnected s :=
hs.induction_on isPreconnected_empty fun _ => isPreconnected_singleton
#align set.subsingleton.is_preconnected Set.Subsingleton.isPreconnected
theorem isPreconnected_of_forall {s : Set α} (x : α)
(H : ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by
rintro u v hu hv hs ⟨z, zs, zu⟩ ⟨y, ys, yv⟩
have xs : x ∈ s := by
rcases H y ys with ⟨t, ts, xt, -, -⟩
exact ts xt
-- Porting note (#11215): TODO: use `wlog xu : x ∈ u := hs xs using u v y z, v u z y`
cases hs xs with
| inl xu =>
rcases H y ys with ⟨t, ts, xt, yt, ht⟩
have := ht u v hu hv (ts.trans hs) ⟨x, xt, xu⟩ ⟨y, yt, yv⟩
exact this.imp fun z hz => ⟨ts hz.1, hz.2⟩
| inr xv =>
rcases H z zs with ⟨t, ts, xt, zt, ht⟩
have := ht v u hv hu (ts.trans <| by rwa [union_comm]) ⟨x, xt, xv⟩ ⟨z, zt, zu⟩
exact this.imp fun _ h => ⟨ts h.1, h.2.2, h.2.1⟩
#align is_preconnected_of_forall isPreconnected_of_forall
theorem isPreconnected_of_forall_pair {s : Set α}
(H : ∀ x ∈ s, ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) :
IsPreconnected s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩)
exacts [isPreconnected_empty, isPreconnected_of_forall x fun y => H x hx y]
#align is_preconnected_of_forall_pair isPreconnected_of_forall_pair
theorem isPreconnected_sUnion (x : α) (c : Set (Set α)) (H1 : ∀ s ∈ c, x ∈ s)
(H2 : ∀ s ∈ c, IsPreconnected s) : IsPreconnected (⋃₀ c) := by
apply isPreconnected_of_forall x
rintro y ⟨s, sc, ys⟩
exact ⟨s, subset_sUnion_of_mem sc, H1 s sc, ys, H2 s sc⟩
#align is_preconnected_sUnion isPreconnected_sUnion
theorem isPreconnected_iUnion {ι : Sort*} {s : ι → Set α} (h₁ : (⋂ i, s i).Nonempty)
(h₂ : ∀ i, IsPreconnected (s i)) : IsPreconnected (⋃ i, s i) :=
Exists.elim h₁ fun f hf => isPreconnected_sUnion f _ hf (forall_mem_range.2 h₂)
#align is_preconnected_Union isPreconnected_iUnion
theorem IsPreconnected.union (x : α) {s t : Set α} (H1 : x ∈ s) (H2 : x ∈ t) (H3 : IsPreconnected s)
(H4 : IsPreconnected t) : IsPreconnected (s ∪ t) :=
sUnion_pair s t ▸ isPreconnected_sUnion x {s, t} (by rintro r (rfl | rfl | h) <;> assumption)
(by rintro r (rfl | rfl | h) <;> assumption)
#align is_preconnected.union IsPreconnected.union
theorem IsPreconnected.union' {s t : Set α} (H : (s ∩ t).Nonempty) (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ∪ t) := by
rcases H with ⟨x, hxs, hxt⟩
exact hs.union x hxs hxt ht
#align is_preconnected.union' IsPreconnected.union'
theorem IsConnected.union {s t : Set α} (H : (s ∩ t).Nonempty) (Hs : IsConnected s)
(Ht : IsConnected t) : IsConnected (s ∪ t) := by
rcases H with ⟨x, hx⟩
refine ⟨⟨x, mem_union_left t (mem_of_mem_inter_left hx)⟩, ?_⟩
exact Hs.isPreconnected.union x (mem_of_mem_inter_left hx) (mem_of_mem_inter_right hx)
Ht.isPreconnected
#align is_connected.union IsConnected.union
theorem IsPreconnected.sUnion_directed {S : Set (Set α)} (K : DirectedOn (· ⊆ ·) S)
(H : ∀ s ∈ S, IsPreconnected s) : IsPreconnected (⋃₀ S) := by
rintro u v hu hv Huv ⟨a, ⟨s, hsS, has⟩, hau⟩ ⟨b, ⟨t, htS, hbt⟩, hbv⟩
obtain ⟨r, hrS, hsr, htr⟩ : ∃ r ∈ S, s ⊆ r ∧ t ⊆ r := K s hsS t htS
have Hnuv : (r ∩ (u ∩ v)).Nonempty :=
H _ hrS u v hu hv ((subset_sUnion_of_mem hrS).trans Huv) ⟨a, hsr has, hau⟩ ⟨b, htr hbt, hbv⟩
have Kruv : r ∩ (u ∩ v) ⊆ ⋃₀ S ∩ (u ∩ v) := inter_subset_inter_left _ (subset_sUnion_of_mem hrS)
exact Hnuv.mono Kruv
#align is_preconnected.sUnion_directed IsPreconnected.sUnion_directed
theorem IsPreconnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(H : ∀ i ∈ t, IsPreconnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsPreconnected (⋃ n ∈ t, s n) := by
let R := fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t
have P : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen R i j →
∃ p, p ⊆ t ∧ i ∈ p ∧ j ∈ p ∧ IsPreconnected (⋃ j ∈ p, s j) := fun i hi j hj h => by
induction h with
| refl =>
refine ⟨{i}, singleton_subset_iff.mpr hi, mem_singleton i, mem_singleton i, ?_⟩
rw [biUnion_singleton]
exact H i hi
| @tail j k _ hjk ih =>
obtain ⟨p, hpt, hip, hjp, hp⟩ := ih hjk.2
refine ⟨insert k p, insert_subset_iff.mpr ⟨hj, hpt⟩, mem_insert_of_mem k hip,
mem_insert k p, ?_⟩
rw [biUnion_insert]
refine (H k hj).union' (hjk.1.mono ?_) hp
rw [inter_comm]
exact inter_subset_inter_right _ (subset_biUnion_of_mem hjp)
refine isPreconnected_of_forall_pair ?_
intro x hx y hy
obtain ⟨i : ι, hi : i ∈ t, hxi : x ∈ s i⟩ := mem_iUnion₂.1 hx
obtain ⟨j : ι, hj : j ∈ t, hyj : y ∈ s j⟩ := mem_iUnion₂.1 hy
obtain ⟨p, hpt, hip, hjp, hp⟩ := P i hi j hj (K i hi j hj)
exact ⟨⋃ j ∈ p, s j, biUnion_subset_biUnion_left hpt, mem_biUnion hip hxi,
mem_biUnion hjp hyj, hp⟩
#align is_preconnected.bUnion_of_refl_trans_gen IsPreconnected.biUnion_of_reflTransGen
theorem IsConnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(ht : t.Nonempty) (H : ∀ i ∈ t, IsConnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsConnected (⋃ n ∈ t, s n) :=
⟨nonempty_biUnion.2 <| ⟨ht.some, ht.some_mem, (H _ ht.some_mem).nonempty⟩,
IsPreconnected.biUnion_of_reflTransGen (fun i hi => (H i hi).isPreconnected) K⟩
#align is_connected.bUnion_of_refl_trans_gen IsConnected.biUnion_of_reflTransGen
theorem IsPreconnected.iUnion_of_reflTransGen {ι : Type*} {s : ι → Set α}
(H : ∀ i, IsPreconnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) :
IsPreconnected (⋃ n, s n) := by
rw [← biUnion_univ]
exact IsPreconnected.biUnion_of_reflTransGen (fun i _ => H i) fun i _ j _ => by
simpa [mem_univ] using K i j
#align is_preconnected.Union_of_refl_trans_gen IsPreconnected.iUnion_of_reflTransGen
theorem IsConnected.iUnion_of_reflTransGen {ι : Type*} [Nonempty ι] {s : ι → Set α}
(H : ∀ i, IsConnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) : IsConnected (⋃ n, s n) :=
⟨nonempty_iUnion.2 <| Nonempty.elim ‹_› fun i : ι => ⟨i, (H _).nonempty⟩,
IsPreconnected.iUnion_of_reflTransGen (fun i => (H i).isPreconnected) K⟩
#align is_connected.Union_of_refl_trans_gen IsConnected.iUnion_of_reflTransGen
protected theorem IsPreconnected.subset_closure {s : Set α} {t : Set α} (H : IsPreconnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsPreconnected t :=
fun u v hu hv htuv ⟨_y, hyt, hyu⟩ ⟨_z, hzt, hzv⟩ =>
let ⟨p, hpu, hps⟩ := mem_closure_iff.1 (Ktcs hyt) u hu hyu
let ⟨q, hqv, hqs⟩ := mem_closure_iff.1 (Ktcs hzt) v hv hzv
let ⟨r, hrs, hruv⟩ := H u v hu hv (Subset.trans Kst htuv) ⟨p, hps, hpu⟩ ⟨q, hqs, hqv⟩
⟨r, Kst hrs, hruv⟩
#align is_preconnected.subset_closure IsPreconnected.subset_closure
protected theorem IsConnected.subset_closure {s : Set α} {t : Set α} (H : IsConnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsConnected t :=
⟨Nonempty.mono Kst H.left, IsPreconnected.subset_closure H.right Kst Ktcs⟩
#align is_connected.subset_closure IsConnected.subset_closure
protected theorem IsPreconnected.closure {s : Set α} (H : IsPreconnected s) :
IsPreconnected (closure s) :=
IsPreconnected.subset_closure H subset_closure Subset.rfl
#align is_preconnected.closure IsPreconnected.closure
protected theorem IsConnected.closure {s : Set α} (H : IsConnected s) : IsConnected (closure s) :=
IsConnected.subset_closure H subset_closure <| Subset.rfl
#align is_connected.closure IsConnected.closure
protected theorem IsPreconnected.image [TopologicalSpace β] {s : Set α} (H : IsPreconnected s)
(f : α → β) (hf : ContinuousOn f s) : IsPreconnected (f '' s) := by
-- Unfold/destruct definitions in hypotheses
rintro u v hu hv huv ⟨_, ⟨x, xs, rfl⟩, xu⟩ ⟨_, ⟨y, ys, rfl⟩, yv⟩
rcases continuousOn_iff'.1 hf u hu with ⟨u', hu', u'_eq⟩
rcases continuousOn_iff'.1 hf v hv with ⟨v', hv', v'_eq⟩
-- Reformulate `huv : f '' s ⊆ u ∪ v` in terms of `u'` and `v'`
replace huv : s ⊆ u' ∪ v' := by
rw [image_subset_iff, preimage_union] at huv
replace huv := subset_inter huv Subset.rfl
rw [union_inter_distrib_right, u'_eq, v'_eq, ← union_inter_distrib_right] at huv
exact (subset_inter_iff.1 huv).1
-- Now `s ⊆ u' ∪ v'`, so we can apply `‹IsPreconnected s›`
obtain ⟨z, hz⟩ : (s ∩ (u' ∩ v')).Nonempty := by
refine H u' v' hu' hv' huv ⟨x, ?_⟩ ⟨y, ?_⟩ <;> rw [inter_comm]
exacts [u'_eq ▸ ⟨xu, xs⟩, v'_eq ▸ ⟨yv, ys⟩]
rw [← inter_self s, inter_assoc, inter_left_comm s u', ← inter_assoc, inter_comm s, inter_comm s,
← u'_eq, ← v'_eq] at hz
exact ⟨f z, ⟨z, hz.1.2, rfl⟩, hz.1.1, hz.2.1⟩
#align is_preconnected.image IsPreconnected.image
protected theorem IsConnected.image [TopologicalSpace β] {s : Set α} (H : IsConnected s) (f : α → β)
(hf : ContinuousOn f s) : IsConnected (f '' s) :=
⟨image_nonempty.mpr H.nonempty, H.isPreconnected.image f hf⟩
#align is_connected.image IsConnected.image
theorem isPreconnected_closed_iff {s : Set α} :
IsPreconnected s ↔ ∀ t t', IsClosed t → IsClosed t' →
s ⊆ t ∪ t' → (s ∩ t).Nonempty → (s ∩ t').Nonempty → (s ∩ (t ∩ t')).Nonempty :=
⟨by
rintro h t t' ht ht' htt' ⟨x, xs, xt⟩ ⟨y, ys, yt'⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xt' : x ∉ t' := (h' xs).resolve_left (absurd xt)
have yt : y ∉ t := (h' ys).resolve_right (absurd yt')
have := h _ _ ht.isOpen_compl ht'.isOpen_compl h' ⟨y, ys, yt⟩ ⟨x, xs, xt'⟩
rw [← compl_union] at this
exact this.ne_empty htt'.disjoint_compl_right.inter_eq,
by
rintro h u v hu hv huv ⟨x, xs, xu⟩ ⟨y, ys, yv⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xv : x ∉ v := (h' xs).elim (absurd xu) id
have yu : y ∉ u := (h' ys).elim id (absurd yv)
have := h _ _ hu.isClosed_compl hv.isClosed_compl h' ⟨y, ys, yu⟩ ⟨x, xs, xv⟩
rw [← compl_union] at this
exact this.ne_empty huv.disjoint_compl_right.inter_eq⟩
#align is_preconnected_closed_iff isPreconnected_closed_iff
theorem Inducing.isPreconnected_image [TopologicalSpace β] {s : Set α} {f : α → β}
(hf : Inducing f) : IsPreconnected (f '' s) ↔ IsPreconnected s := by
refine ⟨fun h => ?_, fun h => h.image _ hf.continuous.continuousOn⟩
rintro u v hu' hv' huv ⟨x, hxs, hxu⟩ ⟨y, hys, hyv⟩
rcases hf.isOpen_iff.1 hu' with ⟨u, hu, rfl⟩
rcases hf.isOpen_iff.1 hv' with ⟨v, hv, rfl⟩
replace huv : f '' s ⊆ u ∪ v := by rwa [image_subset_iff]
rcases h u v hu hv huv ⟨f x, mem_image_of_mem _ hxs, hxu⟩ ⟨f y, mem_image_of_mem _ hys, hyv⟩ with
⟨_, ⟨z, hzs, rfl⟩, hzuv⟩
exact ⟨z, hzs, hzuv⟩
#align inducing.is_preconnected_image Inducing.isPreconnected_image
theorem IsPreconnected.preimage_of_isOpenMap [TopologicalSpace β] {f : α → β} {s : Set β}
(hs : IsPreconnected s) (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsPreconnected (f ⁻¹' s) := fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
#align is_preconnected.preimage_of_open_map IsPreconnected.preimage_of_isOpenMap
theorem IsPreconnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β}
(hs : IsPreconnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f)
(hsf : s ⊆ range f) : IsPreconnected (f ⁻¹' s) :=
isPreconnected_closed_iff.2 fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine isPreconnected_closed_iff.1 hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
#align is_preconnected.preimage_of_closed_map IsPreconnected.preimage_of_isClosedMap
theorem IsConnected.preimage_of_isOpenMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isOpenMap hinj hf hsf⟩
#align is_connected.preimage_of_open_map IsConnected.preimage_of_isOpenMap
theorem IsConnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isClosedMap hinj hf hsf⟩
#align is_connected.preimage_of_closed_map IsConnected.preimage_of_isClosedMap
theorem IsPreconnected.subset_or_subset (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v)
(hsuv : s ⊆ u ∪ v) (hs : IsPreconnected s) : s ⊆ u ∨ s ⊆ v := by
specialize hs u v hu hv hsuv
obtain hsu | hsu := (s ∩ u).eq_empty_or_nonempty
· exact Or.inr ((Set.disjoint_iff_inter_eq_empty.2 hsu).subset_right_of_subset_union hsuv)
· replace hs := mt (hs hsu)
simp_rw [Set.not_nonempty_iff_eq_empty, ← Set.disjoint_iff_inter_eq_empty,
disjoint_iff_inter_eq_empty.1 huv] at hs
exact Or.inl ((hs s.disjoint_empty).subset_left_of_subset_union hsuv)
#align is_preconnected.subset_or_subset IsPreconnected.subset_or_subset
theorem IsPreconnected.subset_left_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsu : (s ∩ u).Nonempty) (hs : IsPreconnected s) :
s ⊆ u :=
Disjoint.subset_left_of_subset_union hsuv
(by
by_contra hsv
rw [not_disjoint_iff_nonempty_inter] at hsv
obtain ⟨x, _, hx⟩ := hs u v hu hv hsuv hsu hsv
exact Set.disjoint_iff.1 huv hx)
#align is_preconnected.subset_left_of_subset_union IsPreconnected.subset_left_of_subset_union
theorem IsPreconnected.subset_right_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsv : (s ∩ v).Nonempty) (hs : IsPreconnected s) :
s ⊆ v :=
hs.subset_left_of_subset_union hv hu huv.symm (union_comm u v ▸ hsuv) hsv
#align is_preconnected.subset_right_of_subset_union IsPreconnected.subset_right_of_subset_union
-- Porting note: moved up
theorem IsPreconnected.subset_isClopen {s t : Set α} (hs : IsPreconnected s) (ht : IsClopen t)
(hne : (s ∩ t).Nonempty) : s ⊆ t :=
hs.subset_left_of_subset_union ht.isOpen ht.compl.isOpen disjoint_compl_right (by simp) hne
#align is_preconnected.subset_clopen IsPreconnected.subset_isClopen
theorem IsPreconnected.subset_of_closure_inter_subset (hs : IsPreconnected s) (hu : IsOpen u)
(h'u : (s ∩ u).Nonempty) (h : closure u ∩ s ⊆ u) : s ⊆ u := by
have A : s ⊆ u ∪ (closure u)ᶜ := by
intro x hx
by_cases xu : x ∈ u
· exact Or.inl xu
· right
intro h'x
exact xu (h (mem_inter h'x hx))
apply hs.subset_left_of_subset_union hu isClosed_closure.isOpen_compl _ A h'u
exact disjoint_compl_right.mono_right (compl_subset_compl.2 subset_closure)
#align is_preconnected.subset_of_closure_inter_subset IsPreconnected.subset_of_closure_inter_subset
theorem IsPreconnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ×ˢ t) := by
apply isPreconnected_of_forall_pair
rintro ⟨a₁, b₁⟩ ⟨ha₁, hb₁⟩ ⟨a₂, b₂⟩ ⟨ha₂, hb₂⟩
refine ⟨Prod.mk a₁ '' t ∪ flip Prod.mk b₂ '' s, ?_, .inl ⟨b₁, hb₁, rfl⟩, .inr ⟨a₂, ha₂, rfl⟩, ?_⟩
· rintro _ (⟨y, hy, rfl⟩ | ⟨x, hx, rfl⟩)
exacts [⟨ha₁, hy⟩, ⟨hx, hb₂⟩]
· exact (ht.image _ (Continuous.Prod.mk _).continuousOn).union (a₁, b₂) ⟨b₂, hb₂, rfl⟩
⟨a₁, ha₁, rfl⟩ (hs.image _ (continuous_id.prod_mk continuous_const).continuousOn)
#align is_preconnected.prod IsPreconnected.prod
theorem IsConnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsConnected s)
(ht : IsConnected t) : IsConnected (s ×ˢ t) :=
⟨hs.1.prod ht.1, hs.2.prod ht.2⟩
#align is_connected.prod IsConnected.prod
theorem isPreconnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)}
(hs : ∀ i, IsPreconnected (s i)) : IsPreconnected (pi univ s) := by
rintro u v uo vo hsuv ⟨f, hfs, hfu⟩ ⟨g, hgs, hgv⟩
rcases exists_finset_piecewise_mem_of_mem_nhds (uo.mem_nhds hfu) g with ⟨I, hI⟩
induction' I using Finset.induction_on with i I _ ihI
· refine ⟨g, hgs, ⟨?_, hgv⟩⟩
simpa using hI
· rw [Finset.piecewise_insert] at hI
have := I.piecewise_mem_set_pi hfs hgs
refine (hsuv this).elim ihI fun h => ?_
set S := update (I.piecewise f g) i '' s i
have hsub : S ⊆ pi univ s := by
refine image_subset_iff.2 fun z hz => ?_
rwa [update_preimage_univ_pi]
exact fun j _ => this j trivial
have hconn : IsPreconnected S :=
(hs i).image _ (continuous_const.update i continuous_id).continuousOn
have hSu : (S ∩ u).Nonempty := ⟨_, mem_image_of_mem _ (hfs _ trivial), hI⟩
have hSv : (S ∩ v).Nonempty := ⟨_, ⟨_, this _ trivial, update_eq_self _ _⟩, h⟩
refine (hconn u v uo vo (hsub.trans hsuv) hSu hSv).mono ?_
exact inter_subset_inter_left _ hsub
#align is_preconnected_univ_pi isPreconnected_univ_pi
@[simp]
theorem isConnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)} :
IsConnected (pi univ s) ↔ ∀ i, IsConnected (s i) := by
simp only [IsConnected, ← univ_pi_nonempty_iff, forall_and, and_congr_right_iff]
refine fun hne => ⟨fun hc i => ?_, isPreconnected_univ_pi⟩
rw [← eval_image_univ_pi hne]
exact hc.image _ (continuous_apply _).continuousOn
#align is_connected_univ_pi isConnected_univ_pi
theorem Sigma.isConnected_iff [∀ i, TopologicalSpace (π i)] {s : Set (Σi, π i)} :
IsConnected s ↔ ∃ i t, IsConnected t ∧ s = Sigma.mk i '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain ⟨⟨i, x⟩, hx⟩ := hs.nonempty
have : s ⊆ range (Sigma.mk i) :=
hs.isPreconnected.subset_isClopen isClopen_range_sigmaMk ⟨⟨i, x⟩, hx, x, rfl⟩
exact ⟨i, Sigma.mk i ⁻¹' s, hs.preimage_of_isOpenMap sigma_mk_injective isOpenMap_sigmaMk this,
(Set.image_preimage_eq_of_subset this).symm⟩
· rintro ⟨i, t, ht, rfl⟩
exact ht.image _ continuous_sigmaMk.continuousOn
#align sigma.is_connected_iff Sigma.isConnected_iff
theorem Sigma.isPreconnected_iff [hι : Nonempty ι] [∀ i, TopologicalSpace (π i)]
{s : Set (Σi, π i)} : IsPreconnected s ↔ ∃ i t, IsPreconnected t ∧ s = Sigma.mk i '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain rfl | h := s.eq_empty_or_nonempty
· exact ⟨Classical.choice hι, ∅, isPreconnected_empty, (Set.image_empty _).symm⟩
· obtain ⟨a, t, ht, rfl⟩ := Sigma.isConnected_iff.1 ⟨h, hs⟩
exact ⟨a, t, ht.isPreconnected, rfl⟩
· rintro ⟨a, t, ht, rfl⟩
exact ht.image _ continuous_sigmaMk.continuousOn
#align sigma.is_preconnected_iff Sigma.isPreconnected_iff
theorem Sum.isConnected_iff [TopologicalSpace β] {s : Set (Sum α β)} :
IsConnected s ↔
(∃ t, IsConnected t ∧ s = Sum.inl '' t) ∨ ∃ t, IsConnected t ∧ s = Sum.inr '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain ⟨x | x, hx⟩ := hs.nonempty
· have h : s ⊆ range Sum.inl :=
hs.isPreconnected.subset_isClopen isClopen_range_inl ⟨.inl x, hx, x, rfl⟩
refine Or.inl ⟨Sum.inl ⁻¹' s, ?_, ?_⟩
· exact hs.preimage_of_isOpenMap Sum.inl_injective isOpenMap_inl h
· exact (image_preimage_eq_of_subset h).symm
· have h : s ⊆ range Sum.inr :=
hs.isPreconnected.subset_isClopen isClopen_range_inr ⟨.inr x, hx, x, rfl⟩
refine Or.inr ⟨Sum.inr ⁻¹' s, ?_, ?_⟩
· exact hs.preimage_of_isOpenMap Sum.inr_injective isOpenMap_inr h
· exact (image_preimage_eq_of_subset h).symm
· rintro (⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩)
· exact ht.image _ continuous_inl.continuousOn
· exact ht.image _ continuous_inr.continuousOn
#align sum.is_connected_iff Sum.isConnected_iff
theorem Sum.isPreconnected_iff [TopologicalSpace β] {s : Set (Sum α β)} :
IsPreconnected s ↔
(∃ t, IsPreconnected t ∧ s = Sum.inl '' t) ∨ ∃ t, IsPreconnected t ∧ s = Sum.inr '' t := by
refine ⟨fun hs => ?_, ?_⟩
· obtain rfl | h := s.eq_empty_or_nonempty
· exact Or.inl ⟨∅, isPreconnected_empty, (Set.image_empty _).symm⟩
obtain ⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩ := Sum.isConnected_iff.1 ⟨h, hs⟩
· exact Or.inl ⟨t, ht.isPreconnected, rfl⟩
· exact Or.inr ⟨t, ht.isPreconnected, rfl⟩
· rintro (⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩)
· exact ht.image _ continuous_inl.continuousOn
· exact ht.image _ continuous_inr.continuousOn
#align sum.is_preconnected_iff Sum.isPreconnected_iff
def connectedComponent (x : α) : Set α :=
⋃₀ { s : Set α | IsPreconnected s ∧ x ∈ s }
#align connected_component connectedComponent
def connectedComponentIn (F : Set α) (x : α) : Set α :=
if h : x ∈ F then (↑) '' connectedComponent (⟨x, h⟩ : F) else ∅
#align connected_component_in connectedComponentIn
theorem connectedComponentIn_eq_image {F : Set α} {x : α} (h : x ∈ F) :
connectedComponentIn F x = (↑) '' connectedComponent (⟨x, h⟩ : F) :=
dif_pos h
#align connected_component_in_eq_image connectedComponentIn_eq_image
theorem connectedComponentIn_eq_empty {F : Set α} {x : α} (h : x ∉ F) :
connectedComponentIn F x = ∅ :=
dif_neg h
#align connected_component_in_eq_empty connectedComponentIn_eq_empty
theorem mem_connectedComponent {x : α} : x ∈ connectedComponent x :=
mem_sUnion_of_mem (mem_singleton x) ⟨isPreconnected_singleton, mem_singleton x⟩
#align mem_connected_component mem_connectedComponent
theorem mem_connectedComponentIn {x : α} {F : Set α} (hx : x ∈ F) :
x ∈ connectedComponentIn F x := by
simp [connectedComponentIn_eq_image hx, mem_connectedComponent, hx]
#align mem_connected_component_in mem_connectedComponentIn
theorem connectedComponent_nonempty {x : α} : (connectedComponent x).Nonempty :=
⟨x, mem_connectedComponent⟩
#align connected_component_nonempty connectedComponent_nonempty
theorem connectedComponentIn_nonempty_iff {x : α} {F : Set α} :
(connectedComponentIn F x).Nonempty ↔ x ∈ F := by
rw [connectedComponentIn]
split_ifs <;> simp [connectedComponent_nonempty, *]
#align connected_component_in_nonempty_iff connectedComponentIn_nonempty_iff
theorem connectedComponentIn_subset (F : Set α) (x : α) : connectedComponentIn F x ⊆ F := by
rw [connectedComponentIn]
split_ifs <;> simp
#align connected_component_in_subset connectedComponentIn_subset
theorem isPreconnected_connectedComponent {x : α} : IsPreconnected (connectedComponent x) :=
isPreconnected_sUnion x _ (fun _ => And.right) fun _ => And.left
#align is_preconnected_connected_component isPreconnected_connectedComponent
theorem isPreconnected_connectedComponentIn {x : α} {F : Set α} :
IsPreconnected (connectedComponentIn F x) := by
rw [connectedComponentIn]; split_ifs
· exact inducing_subtype_val.isPreconnected_image.mpr isPreconnected_connectedComponent
· exact isPreconnected_empty
#align is_preconnected_connected_component_in isPreconnected_connectedComponentIn
theorem isConnected_connectedComponent {x : α} : IsConnected (connectedComponent x) :=
⟨⟨x, mem_connectedComponent⟩, isPreconnected_connectedComponent⟩
#align is_connected_connected_component isConnected_connectedComponent
theorem isConnected_connectedComponentIn_iff {x : α} {F : Set α} :
IsConnected (connectedComponentIn F x) ↔ x ∈ F := by
simp_rw [← connectedComponentIn_nonempty_iff, IsConnected, isPreconnected_connectedComponentIn,
and_true_iff]
#align is_connected_connected_component_in_iff isConnected_connectedComponentIn_iff
theorem IsPreconnected.subset_connectedComponent {x : α} {s : Set α} (H1 : IsPreconnected s)
(H2 : x ∈ s) : s ⊆ connectedComponent x := fun _z hz => mem_sUnion_of_mem hz ⟨H1, H2⟩
#align is_preconnected.subset_connected_component IsPreconnected.subset_connectedComponent
theorem IsPreconnected.subset_connectedComponentIn {x : α} {F : Set α} (hs : IsPreconnected s)
(hxs : x ∈ s) (hsF : s ⊆ F) : s ⊆ connectedComponentIn F x := by
have : IsPreconnected (((↑) : F → α) ⁻¹' s) := by
refine inducing_subtype_val.isPreconnected_image.mp ?_
rwa [Subtype.image_preimage_coe, inter_eq_right.mpr hsF]
have h2xs : (⟨x, hsF hxs⟩ : F) ∈ (↑) ⁻¹' s := by
rw [mem_preimage]
exact hxs
have := this.subset_connectedComponent h2xs
rw [connectedComponentIn_eq_image (hsF hxs)]
refine Subset.trans ?_ (image_subset _ this)
rw [Subtype.image_preimage_coe, inter_eq_right.mpr hsF]
#align is_preconnected.subset_connected_component_in IsPreconnected.subset_connectedComponentIn
theorem IsConnected.subset_connectedComponent {x : α} {s : Set α} (H1 : IsConnected s)
(H2 : x ∈ s) : s ⊆ connectedComponent x :=
H1.2.subset_connectedComponent H2
#align is_connected.subset_connected_component IsConnected.subset_connectedComponent
theorem IsPreconnected.connectedComponentIn {x : α} {F : Set α} (h : IsPreconnected F)
(hx : x ∈ F) : connectedComponentIn F x = F :=
(connectedComponentIn_subset F x).antisymm (h.subset_connectedComponentIn hx subset_rfl)
#align is_preconnected.connected_component_in IsPreconnected.connectedComponentIn
theorem connectedComponent_eq {x y : α} (h : y ∈ connectedComponent x) :
connectedComponent x = connectedComponent y :=
eq_of_subset_of_subset (isConnected_connectedComponent.subset_connectedComponent h)
(isConnected_connectedComponent.subset_connectedComponent
(Set.mem_of_mem_of_subset mem_connectedComponent
(isConnected_connectedComponent.subset_connectedComponent h)))
#align connected_component_eq connectedComponent_eq
theorem connectedComponent_eq_iff_mem {x y : α} :
connectedComponent x = connectedComponent y ↔ x ∈ connectedComponent y :=
⟨fun h => h ▸ mem_connectedComponent, fun h => (connectedComponent_eq h).symm⟩
#align connected_component_eq_iff_mem connectedComponent_eq_iff_mem
theorem connectedComponentIn_eq {x y : α} {F : Set α} (h : y ∈ connectedComponentIn F x) :
connectedComponentIn F x = connectedComponentIn F y := by
have hx : x ∈ F := connectedComponentIn_nonempty_iff.mp ⟨y, h⟩
simp_rw [connectedComponentIn_eq_image hx] at h ⊢
obtain ⟨⟨y, hy⟩, h2y, rfl⟩ := h
simp_rw [connectedComponentIn_eq_image hy, connectedComponent_eq h2y]
#align connected_component_in_eq connectedComponentIn_eq
theorem connectedComponentIn_univ (x : α) : connectedComponentIn univ x = connectedComponent x :=
subset_antisymm
(isPreconnected_connectedComponentIn.subset_connectedComponent <|
mem_connectedComponentIn trivial)
(isPreconnected_connectedComponent.subset_connectedComponentIn mem_connectedComponent <|
subset_univ _)
#align connected_component_in_univ connectedComponentIn_univ
theorem connectedComponent_disjoint {x y : α} (h : connectedComponent x ≠ connectedComponent y) :
Disjoint (connectedComponent x) (connectedComponent y) :=
Set.disjoint_left.2 fun _ h1 h2 =>
h ((connectedComponent_eq h1).trans (connectedComponent_eq h2).symm)
#align connected_component_disjoint connectedComponent_disjoint
theorem isClosed_connectedComponent {x : α} : IsClosed (connectedComponent x) :=
closure_subset_iff_isClosed.1 <|
isConnected_connectedComponent.closure.subset_connectedComponent <|
subset_closure mem_connectedComponent
#align is_closed_connected_component isClosed_connectedComponent
theorem Continuous.image_connectedComponent_subset [TopologicalSpace β] {f : α → β}
(h : Continuous f) (a : α) : f '' connectedComponent a ⊆ connectedComponent (f a) :=
(isConnected_connectedComponent.image f h.continuousOn).subset_connectedComponent
((mem_image f (connectedComponent a) (f a)).2 ⟨a, mem_connectedComponent, rfl⟩)
#align continuous.image_connected_component_subset Continuous.image_connectedComponent_subset
theorem Continuous.image_connectedComponentIn_subset [TopologicalSpace β] {f : α → β} {s : Set α}
{a : α} (hf : Continuous f) (hx : a ∈ s) :
f '' connectedComponentIn s a ⊆ connectedComponentIn (f '' s) (f a) :=
(isPreconnected_connectedComponentIn.image _ hf.continuousOn).subset_connectedComponentIn
(mem_image_of_mem _ <| mem_connectedComponentIn hx)
(image_subset _ <| connectedComponentIn_subset _ _)
theorem Continuous.mapsTo_connectedComponent [TopologicalSpace β] {f : α → β} (h : Continuous f)
(a : α) : MapsTo f (connectedComponent a) (connectedComponent (f a)) :=
mapsTo'.2 <| h.image_connectedComponent_subset a
#align continuous.maps_to_connected_component Continuous.mapsTo_connectedComponent
theorem Continuous.mapsTo_connectedComponentIn [TopologicalSpace β] {f : α → β} {s : Set α}
(h : Continuous f) {a : α} (hx : a ∈ s) :
MapsTo f (connectedComponentIn s a) (connectedComponentIn (f '' s) (f a)) :=
mapsTo'.2 <| image_connectedComponentIn_subset h hx
theorem irreducibleComponent_subset_connectedComponent {x : α} :
irreducibleComponent x ⊆ connectedComponent x :=
isIrreducible_irreducibleComponent.isConnected.subset_connectedComponent mem_irreducibleComponent
#align irreducible_component_subset_connected_component irreducibleComponent_subset_connectedComponent
@[mono]
theorem connectedComponentIn_mono (x : α) {F G : Set α} (h : F ⊆ G) :
connectedComponentIn F x ⊆ connectedComponentIn G x := by
by_cases hx : x ∈ F
· rw [connectedComponentIn_eq_image hx, connectedComponentIn_eq_image (h hx), ←
show ((↑) : G → α) ∘ inclusion h = (↑) from rfl, image_comp]
exact image_subset _ ((continuous_inclusion h).image_connectedComponent_subset ⟨x, hx⟩)
· rw [connectedComponentIn_eq_empty hx]
exact Set.empty_subset _
#align connected_component_in_mono connectedComponentIn_mono
class PreconnectedSpace (α : Type u) [TopologicalSpace α] : Prop where
isPreconnected_univ : IsPreconnected (univ : Set α)
#align preconnected_space PreconnectedSpace
export PreconnectedSpace (isPreconnected_univ)
class ConnectedSpace (α : Type u) [TopologicalSpace α] extends PreconnectedSpace α : Prop where
toNonempty : Nonempty α
#align connected_space ConnectedSpace
attribute [instance 50] ConnectedSpace.toNonempty -- see Note [lower instance priority]
-- see Note [lower instance priority]
theorem isConnected_univ [ConnectedSpace α] : IsConnected (univ : Set α) :=
⟨univ_nonempty, isPreconnected_univ⟩
#align is_connected_univ isConnected_univ
lemma preconnectedSpace_iff_univ : PreconnectedSpace α ↔ IsPreconnected (univ : Set α) :=
⟨fun h ↦ h.1, fun h ↦ ⟨h⟩⟩
lemma connectedSpace_iff_univ : ConnectedSpace α ↔ IsConnected (univ : Set α) :=
⟨fun h ↦ ⟨univ_nonempty, h.1.1⟩,
fun h ↦ ConnectedSpace.mk (toPreconnectedSpace := ⟨h.2⟩) ⟨h.1.some⟩⟩
theorem isPreconnected_range [TopologicalSpace β] [PreconnectedSpace α] {f : α → β}
(h : Continuous f) : IsPreconnected (range f) :=
@image_univ _ _ f ▸ isPreconnected_univ.image _ h.continuousOn
#align is_preconnected_range isPreconnected_range
theorem isConnected_range [TopologicalSpace β] [ConnectedSpace α] {f : α → β} (h : Continuous f) :
IsConnected (range f) :=
⟨range_nonempty f, isPreconnected_range h⟩
#align is_connected_range isConnected_range
theorem Function.Surjective.connectedSpace [ConnectedSpace α] [TopologicalSpace β]
{f : α → β} (hf : Surjective f) (hf' : Continuous f) : ConnectedSpace β := by
rw [connectedSpace_iff_univ, ← hf.range_eq]
exact isConnected_range hf'
instance Quotient.instConnectedSpace {s : Setoid α} [ConnectedSpace α] :
ConnectedSpace (Quotient s) :=
(surjective_quotient_mk' _).connectedSpace continuous_coinduced_rng
theorem DenseRange.preconnectedSpace [TopologicalSpace β] [PreconnectedSpace α] {f : α → β}
(hf : DenseRange f) (hc : Continuous f) : PreconnectedSpace β :=
⟨hf.closure_eq ▸ (isPreconnected_range hc).closure⟩
#align dense_range.preconnected_space DenseRange.preconnectedSpace
theorem connectedSpace_iff_connectedComponent :
ConnectedSpace α ↔ ∃ x : α, connectedComponent x = univ := by
constructor
· rintro ⟨⟨x⟩⟩
exact
⟨x, eq_univ_of_univ_subset <| isPreconnected_univ.subset_connectedComponent (mem_univ x)⟩
· rintro ⟨x, h⟩
haveI : PreconnectedSpace α :=
⟨by rw [← h]; exact isPreconnected_connectedComponent⟩
exact ⟨⟨x⟩⟩
#align connected_space_iff_connected_component connectedSpace_iff_connectedComponent
theorem preconnectedSpace_iff_connectedComponent :
PreconnectedSpace α ↔ ∀ x : α, connectedComponent x = univ := by
constructor
· intro h x
exact eq_univ_of_univ_subset <| isPreconnected_univ.subset_connectedComponent (mem_univ x)
· intro h
cases' isEmpty_or_nonempty α with hα hα
· exact ⟨by rw [univ_eq_empty_iff.mpr hα]; exact isPreconnected_empty⟩
· exact ⟨by rw [← h (Classical.choice hα)]; exact isPreconnected_connectedComponent⟩
#align preconnected_space_iff_connected_component preconnectedSpace_iff_connectedComponent
@[simp]
theorem PreconnectedSpace.connectedComponent_eq_univ {X : Type*} [TopologicalSpace X]
[h : PreconnectedSpace X] (x : X) : connectedComponent x = univ :=
preconnectedSpace_iff_connectedComponent.mp h x
#align preconnected_space.connected_component_eq_univ PreconnectedSpace.connectedComponent_eq_univ
instance [TopologicalSpace β] [PreconnectedSpace α] [PreconnectedSpace β] :
PreconnectedSpace (α × β) :=
⟨by
rw [← univ_prod_univ]
exact isPreconnected_univ.prod isPreconnected_univ⟩
instance [TopologicalSpace β] [ConnectedSpace α] [ConnectedSpace β] : ConnectedSpace (α × β) :=
⟨inferInstance⟩
instance [∀ i, TopologicalSpace (π i)] [∀ i, PreconnectedSpace (π i)] :
PreconnectedSpace (∀ i, π i) :=
⟨by rw [← pi_univ univ]; exact isPreconnected_univ_pi fun i => isPreconnected_univ⟩
instance [∀ i, TopologicalSpace (π i)] [∀ i, ConnectedSpace (π i)] : ConnectedSpace (∀ i, π i) :=
⟨inferInstance⟩
-- see Note [lower instance priority]
instance (priority := 100) PreirreducibleSpace.preconnectedSpace (α : Type u) [TopologicalSpace α]
[PreirreducibleSpace α] : PreconnectedSpace α :=
⟨isPreirreducible_univ.isPreconnected⟩
#align preirreducible_space.preconnected_space PreirreducibleSpace.preconnectedSpace
-- see Note [lower instance priority]
instance (priority := 100) IrreducibleSpace.connectedSpace (α : Type u) [TopologicalSpace α]
[IrreducibleSpace α] : ConnectedSpace α where toNonempty := IrreducibleSpace.toNonempty
#align irreducible_space.connected_space IrreducibleSpace.connectedSpace
theorem Continuous.exists_lift_sigma [ConnectedSpace α] [∀ i, TopologicalSpace (π i)]
{f : α → Σ i, π i} (hf : Continuous f) :
∃ (i : ι) (g : α → π i), Continuous g ∧ f = Sigma.mk i ∘ g := by
obtain ⟨i, hi⟩ : ∃ i, range f ⊆ range (.mk i) := by
rcases Sigma.isConnected_iff.1 (isConnected_range hf) with ⟨i, s, -, hs⟩
exact ⟨i, hs.trans_subset (image_subset_range _ _)⟩
rcases range_subset_range_iff_exists_comp.1 hi with ⟨g, rfl⟩
refine ⟨i, g, ?_, rfl⟩
rwa [← embedding_sigmaMk.continuous_iff] at hf
theorem nonempty_inter [PreconnectedSpace α] {s t : Set α} :
IsOpen s → IsOpen t → s ∪ t = univ → s.Nonempty → t.Nonempty → (s ∩ t).Nonempty := by
simpa only [univ_inter, univ_subset_iff] using @PreconnectedSpace.isPreconnected_univ α _ _ s t
#align nonempty_inter nonempty_inter
theorem isClopen_iff [PreconnectedSpace α] {s : Set α} : IsClopen s ↔ s = ∅ ∨ s = univ :=
⟨fun hs =>
by_contradiction fun h =>
have h1 : s ≠ ∅ ∧ sᶜ ≠ ∅ :=
⟨mt Or.inl h,
mt (fun h2 => Or.inr <| (by rw [← compl_compl s, h2, compl_empty] : s = univ)) h⟩
let ⟨_, h2, h3⟩ :=
nonempty_inter hs.2 hs.1.isOpen_compl (union_compl_self s) (nonempty_iff_ne_empty.2 h1.1)
(nonempty_iff_ne_empty.2 h1.2)
h3 h2,
by rintro (rfl | rfl) <;> [exact isClopen_empty; exact isClopen_univ]⟩
#align is_clopen_iff isClopen_iff
theorem IsClopen.eq_univ [PreconnectedSpace α] {s : Set α} (h' : IsClopen s) (h : s.Nonempty) :
s = univ :=
(isClopen_iff.mp h').resolve_left h.ne_empty
#align is_clopen.eq_univ IsClopen.eq_univ
theorem frontier_eq_empty_iff [PreconnectedSpace α] {s : Set α} :
frontier s = ∅ ↔ s = ∅ ∨ s = univ :=
isClopen_iff_frontier_eq_empty.symm.trans isClopen_iff
#align frontier_eq_empty_iff frontier_eq_empty_iff
theorem nonempty_frontier_iff [PreconnectedSpace α] {s : Set α} :
(frontier s).Nonempty ↔ s.Nonempty ∧ s ≠ univ := by
simp only [nonempty_iff_ne_empty, Ne, frontier_eq_empty_iff, not_or]
#align nonempty_frontier_iff nonempty_frontier_iff
| Mathlib/Topology/Connected/Basic.lean | 946 | 948 | theorem Subtype.preconnectedSpace {s : Set α} (h : IsPreconnected s) : PreconnectedSpace s where
isPreconnected_univ := by |
rwa [← inducing_subtype_val.isPreconnected_image, image_univ, Subtype.range_val]
|
import Mathlib.Algebra.Algebra.Hom
import Mathlib.RingTheory.Ideal.Quotient
#align_import algebra.ring_quot from "leanprover-community/mathlib"@"e5820f6c8fcf1b75bcd7738ae4da1c5896191f72"
universe uR uS uT uA u₄
variable {R : Type uR} [Semiring R]
variable {S : Type uS} [CommSemiring S]
variable {T : Type uT}
variable {A : Type uA} [Semiring A] [Algebra S A]
namespace RingQuot
inductive Rel (r : R → R → Prop) : R → R → Prop
| of ⦃x y : R⦄ (h : r x y) : Rel r x y
| add_left ⦃a b c⦄ : Rel r a b → Rel r (a + c) (b + c)
| mul_left ⦃a b c⦄ : Rel r a b → Rel r (a * c) (b * c)
| mul_right ⦃a b c⦄ : Rel r b c → Rel r (a * b) (a * c)
#align ring_quot.rel RingQuot.Rel
theorem Rel.add_right {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r b c) : Rel r (a + b) (a + c) := by
rw [add_comm a b, add_comm a c]
exact Rel.add_left h
#align ring_quot.rel.add_right RingQuot.Rel.add_right
theorem Rel.neg {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b : R⦄ (h : Rel r a b) :
Rel r (-a) (-b) := by simp only [neg_eq_neg_one_mul a, neg_eq_neg_one_mul b, Rel.mul_right h]
#align ring_quot.rel.neg RingQuot.Rel.neg
| Mathlib/Algebra/RingQuot.lean | 71 | 72 | theorem Rel.sub_left {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r a b) :
Rel r (a - c) (b - c) := by | simp only [sub_eq_add_neg, h.add_left]
|
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts
import Mathlib.CategoryTheory.Limits.Shapes.RegularMono
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
#align_import category_theory.limits.mono_coprod from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
universe u
namespace CategoryTheory
namespace Limits
variable (C : Type*) [Category C]
class MonoCoprod : Prop where
binaryCofan_inl : ∀ ⦃A B : C⦄ (c : BinaryCofan A B) (_ : IsColimit c), Mono c.inl
#align category_theory.limits.mono_coprod CategoryTheory.Limits.MonoCoprod
variable {C}
instance (priority := 100) monoCoprodOfHasZeroMorphisms [HasZeroMorphisms C] : MonoCoprod C :=
⟨fun A B c hc => by
haveI : IsSplitMono c.inl :=
IsSplitMono.mk' (SplitMono.mk (hc.desc (BinaryCofan.mk (𝟙 A) 0)) (IsColimit.fac _ _ _))
infer_instance⟩
#align category_theory.limits.mono_coprod_of_has_zero_morphisms CategoryTheory.Limits.monoCoprodOfHasZeroMorphisms
namespace MonoCoprod
theorem binaryCofan_inr {A B : C} [MonoCoprod C] (c : BinaryCofan A B) (hc : IsColimit c) :
Mono c.inr := by
haveI hc' : IsColimit (BinaryCofan.mk c.inr c.inl) :=
BinaryCofan.IsColimit.mk _ (fun f₁ f₂ => hc.desc (BinaryCofan.mk f₂ f₁))
(by aesop_cat) (by aesop_cat)
(fun f₁ f₂ m h₁ h₂ => BinaryCofan.IsColimit.hom_ext hc (by aesop_cat) (by aesop_cat))
exact binaryCofan_inl _ hc'
#align category_theory.limits.mono_coprod.binary_cofan_inr CategoryTheory.Limits.MonoCoprod.binaryCofan_inr
instance {A B : C} [MonoCoprod C] [HasBinaryCoproduct A B] : Mono (coprod.inl : A ⟶ A ⨿ B) :=
binaryCofan_inl _ (colimit.isColimit _)
instance {A B : C} [MonoCoprod C] [HasBinaryCoproduct A B] : Mono (coprod.inr : B ⟶ A ⨿ B) :=
binaryCofan_inr _ (colimit.isColimit _)
theorem mono_inl_iff {A B : C} {c₁ c₂ : BinaryCofan A B} (hc₁ : IsColimit c₁) (hc₂ : IsColimit c₂) :
Mono c₁.inl ↔ Mono c₂.inl := by
suffices
∀ (c₁ c₂ : BinaryCofan A B) (_ : IsColimit c₁) (_ : IsColimit c₂) (_ : Mono c₁.inl),
Mono c₂.inl
by exact ⟨fun h₁ => this _ _ hc₁ hc₂ h₁, fun h₂ => this _ _ hc₂ hc₁ h₂⟩
intro c₁ c₂ hc₁ hc₂
intro
simpa only [IsColimit.comp_coconePointUniqueUpToIso_hom] using
mono_comp c₁.inl (hc₁.coconePointUniqueUpToIso hc₂).hom
#align category_theory.limits.mono_coprod.mono_inl_iff CategoryTheory.Limits.MonoCoprod.mono_inl_iff
theorem mk' (h : ∀ A B : C, ∃ (c : BinaryCofan A B) (_ : IsColimit c), Mono c.inl) : MonoCoprod C :=
⟨fun A B c' hc' => by
obtain ⟨c, hc₁, hc₂⟩ := h A B
simpa only [mono_inl_iff hc' hc₁] using hc₂⟩
#align category_theory.limits.mono_coprod.mk' CategoryTheory.Limits.MonoCoprod.mk'
instance monoCoprodType : MonoCoprod (Type u) :=
MonoCoprod.mk' fun A B => by
refine ⟨BinaryCofan.mk (Sum.inl : A ⟶ Sum A B) Sum.inr, ?_, ?_⟩
· exact BinaryCofan.IsColimit.mk _
(fun f₁ f₂ x => by
rcases x with x | x
exacts [f₁ x, f₂ x])
(fun f₁ f₂ => by rfl)
(fun f₁ f₂ => by rfl)
(fun f₁ f₂ m h₁ h₂ => by
funext x
rcases x with x | x
· exact congr_fun h₁ x
· exact congr_fun h₂ x)
· rw [mono_iff_injective]
intro a₁ a₂ h
simpa using h
#align category_theory.limits.mono_coprod.mono_coprod_type CategoryTheory.Limits.MonoCoprod.monoCoprodType
section
variable {I₁ I₂ : Type*} {X : I₁ ⊕ I₂ → C} (c : Cofan X)
(c₁ : Cofan (X ∘ Sum.inl)) (c₂ : Cofan (X ∘ Sum.inr))
(hc : IsColimit c) (hc₁ : IsColimit c₁) (hc₂ : IsColimit c₂)
@[simp]
def binaryCofanSum : BinaryCofan c₁.pt c₂.pt :=
BinaryCofan.mk (Cofan.IsColimit.desc hc₁ (fun i₁ => c.inj (Sum.inl i₁)))
(Cofan.IsColimit.desc hc₂ (fun i₂ => c.inj (Sum.inr i₂)))
def isColimitBinaryCofanSum : IsColimit (binaryCofanSum c c₁ c₂ hc₁ hc₂) :=
BinaryCofan.IsColimit.mk _ (fun f₁ f₂ => Cofan.IsColimit.desc hc (fun i => match i with
| Sum.inl i₁ => c₁.inj i₁ ≫ f₁
| Sum.inr i₂ => c₂.inj i₂ ≫ f₂))
(fun f₁ f₂ => Cofan.IsColimit.hom_ext hc₁ _ _ (by simp))
(fun f₁ f₂ => Cofan.IsColimit.hom_ext hc₂ _ _ (by simp))
(fun f₁ f₂ m hm₁ hm₂ => by
apply Cofan.IsColimit.hom_ext hc
rintro (i₁|i₂) <;> aesop_cat)
lemma mono_binaryCofanSum_inl [MonoCoprod C] :
Mono (binaryCofanSum c c₁ c₂ hc₁ hc₂).inl :=
MonoCoprod.binaryCofan_inl _ (isColimitBinaryCofanSum c c₁ c₂ hc hc₁ hc₂)
lemma mono_binaryCofanSum_inr [MonoCoprod C] :
Mono (binaryCofanSum c c₁ c₂ hc₁ hc₂).inr :=
MonoCoprod.binaryCofan_inr _ (isColimitBinaryCofanSum c c₁ c₂ hc hc₁ hc₂)
lemma mono_binaryCofanSum_inl' [MonoCoprod C] (inl : c₁.pt ⟶ c.pt)
(hinl : ∀ (i₁ : I₁), c₁.inj i₁ ≫ inl = c.inj (Sum.inl i₁)) :
Mono inl := by
suffices inl = (binaryCofanSum c c₁ c₂ hc₁ hc₂).inl by
rw [this]
exact MonoCoprod.binaryCofan_inl _ (isColimitBinaryCofanSum c c₁ c₂ hc hc₁ hc₂)
exact Cofan.IsColimit.hom_ext hc₁ _ _ (by simpa using hinl)
lemma mono_binaryCofanSum_inr' [MonoCoprod C] (inr : c₂.pt ⟶ c.pt)
(hinr : ∀ (i₂ : I₂), c₂.inj i₂ ≫ inr = c.inj (Sum.inr i₂)) :
Mono inr := by
suffices inr = (binaryCofanSum c c₁ c₂ hc₁ hc₂).inr by
rw [this]
exact MonoCoprod.binaryCofan_inr _ (isColimitBinaryCofanSum c c₁ c₂ hc hc₁ hc₂)
exact Cofan.IsColimit.hom_ext hc₂ _ _ (by simpa using hinr)
end
section
variable [MonoCoprod C] {I J : Type*} (X : I → C) (ι : J → I) (hι : Function.Injective ι)
section
variable (c : Cofan X) (c₁ : Cofan (X ∘ ι)) (hc : IsColimit c) (hc₁ : IsColimit c₁)
lemma mono_of_injective_aux (c₂ : Cofan (fun (k : ((Set.range ι)ᶜ : Set I)) => X k.1))
(hc₂ : IsColimit c₂) : Mono (Cofan.IsColimit.desc hc₁ (fun i => c.inj (ι i))) := by
classical
let e := ((Equiv.ofInjective ι hι).sumCongr (Equiv.refl _)).trans (Equiv.Set.sumCompl _)
refine mono_binaryCofanSum_inl' (Cofan.mk c.pt (fun i' => c.inj (e i'))) _ _ ?_
hc₁ hc₂ _ (by simp [e])
exact IsColimit.ofIsoColimit ((IsColimit.ofCoconeEquiv (Cocones.equivalenceOfReindexing
(Discrete.equivalence e) (Iso.refl _))).symm hc) (Cocones.ext (Iso.refl _))
lemma mono_of_injective [HasCoproduct (fun (k : ((Set.range ι)ᶜ : Set I)) => X k.1)] :
Mono (Cofan.IsColimit.desc hc₁ (fun i => c.inj (ι i))) :=
mono_of_injective_aux X ι hι c c₁ hc hc₁ _ (colimit.isColimit _)
end
lemma mono_of_injective' [HasCoproduct (X ∘ ι)] [HasCoproduct X]
[HasCoproduct (fun (k : ((Set.range ι)ᶜ : Set I)) => X k.1)] :
Mono (Sigma.desc (f := X ∘ ι) (fun j => Sigma.ι X (ι j))) :=
mono_of_injective X ι hι _ _ (colimit.isColimit _) (colimit.isColimit _)
lemma mono_map'_of_injective [HasCoproduct (X ∘ ι)] [HasCoproduct X]
[HasCoproduct (fun (k : ((Set.range ι)ᶜ : Set I)) => X k.1)] :
Mono (Sigma.map' ι (fun j => 𝟙 ((X ∘ ι) j))) := by
convert mono_of_injective' X ι hι
apply Sigma.hom_ext
intro j
rw [Sigma.ι_comp_map', id_comp, colimit.ι_desc]
simp
end
section
variable [MonoCoprod C] {I : Type*} (X : I → C)
lemma mono_inj (c : Cofan X) (h : IsColimit c) (i : I)
[HasCoproduct (fun (k : ((Set.range (fun _ : Unit ↦ i))ᶜ : Set I)) => X k.1)] :
Mono (Cofan.inj c i) := by
let ι : Unit → I := fun _ ↦ i
have hι : Function.Injective ι := fun _ _ _ ↦ rfl
exact mono_of_injective X ι hι c (Cofan.mk (X i) (fun _ ↦ 𝟙 _)) h
(mkCofanColimit _ (fun s => s.inj ()))
instance mono_ι [HasCoproduct X] (i : I)
[HasCoproduct (fun (k : ((Set.range (fun _ : Unit ↦ i))ᶜ : Set I)) => X k.1)] :
Mono (Sigma.ι X i) :=
mono_inj X _ (colimit.isColimit _) i
end
open Functor
section Preservation
variable {D : Type*} [Category D] (F : C ⥤ D)
| Mathlib/CategoryTheory/Limits/MonoCoprod.lean | 230 | 242 | theorem monoCoprod_of_preservesCoprod_of_reflectsMono [MonoCoprod D]
[PreservesColimitsOfShape (Discrete WalkingPair) F]
[ReflectsMonomorphisms F] : MonoCoprod C where
binaryCofan_inl {A B} c h := by |
let c' := BinaryCofan.mk (F.map c.inl) (F.map c.inr)
apply mono_of_mono_map F
show Mono c'.inl
apply MonoCoprod.binaryCofan_inl
apply mapIsColimitOfPreservesOfIsColimit F
apply IsColimit.ofIsoColimit h
refine Cocones.ext (φ := eqToIso rfl) ?_
rintro ⟨(j₁|j₂)⟩ <;> simp only [const_obj_obj, eqToIso_refl, Iso.refl_hom,
Category.comp_id, BinaryCofan.mk_inl, BinaryCofan.mk_inr]
|
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Sign
import Mathlib.LinearAlgebra.AffineSpace.Combination
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Finset Function
open scoped Affine
section AffineIndependent
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
def AffineIndependent (p : ι → P) : Prop :=
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0
#align affine_independent AffineIndependent
theorem affineIndependent_def (p : ι → P) :
AffineIndependent k p ↔
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 :=
Iff.rfl
#align affine_independent_def affineIndependent_def
theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p :=
fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi
#align affine_independent_of_subsingleton affineIndependent_of_subsingleton
theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔
∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by
constructor
· exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _)
· intro h s w hw hs i hi
rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs
rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw
replace h := h ((↑s : Set ι).indicator w) hw hs i
simpa [hi] using h
#align affine_independent_iff_of_fintype affineIndependent_iff_of_fintype
theorem affineIndependent_iff_linearIndependent_vsub (p : ι → P) (i1 : ι) :
AffineIndependent k p ↔ LinearIndependent k fun i : { x // x ≠ i1 } => (p i -ᵥ p i1 : V) := by
classical
constructor
· intro h
rw [linearIndependent_iff']
intro s g hg i hi
set f : ι → k := fun x => if hx : x = i1 then -∑ y ∈ s, g y else g ⟨x, hx⟩ with hfdef
let s2 : Finset ι := insert i1 (s.map (Embedding.subtype _))
have hfg : ∀ x : { x // x ≠ i1 }, g x = f x := by
intro x
rw [hfdef]
dsimp only
erw [dif_neg x.property, Subtype.coe_eta]
rw [hfg]
have hf : ∑ ι ∈ s2, f ι = 0 := by
rw [Finset.sum_insert
(Finset.not_mem_map_subtype_of_not_property s (Classical.not_not.2 rfl)),
Finset.sum_subtype_map_embedding fun x _ => (hfg x).symm]
rw [hfdef]
dsimp only
rw [dif_pos rfl]
exact neg_add_self _
have hs2 : s2.weightedVSub p f = (0 : V) := by
set f2 : ι → V := fun x => f x • (p x -ᵥ p i1) with hf2def
set g2 : { x // x ≠ i1 } → V := fun x => g x • (p x -ᵥ p i1)
have hf2g2 : ∀ x : { x // x ≠ i1 }, f2 x = g2 x := by
simp only [g2, hf2def]
refine fun x => ?_
rw [hfg]
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s2 f p hf (p i1),
Finset.weightedVSubOfPoint_insert, Finset.weightedVSubOfPoint_apply,
Finset.sum_subtype_map_embedding fun x _ => hf2g2 x]
exact hg
exact h s2 f hf hs2 i (Finset.mem_insert_of_mem (Finset.mem_map.2 ⟨i, hi, rfl⟩))
· intro h
rw [linearIndependent_iff'] at h
intro s w hw hs i hi
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s w p hw (p i1), ←
s.weightedVSubOfPoint_erase w p i1, Finset.weightedVSubOfPoint_apply] at hs
let f : ι → V := fun i => w i • (p i -ᵥ p i1)
have hs2 : (∑ i ∈ (s.erase i1).subtype fun i => i ≠ i1, f i) = 0 := by
rw [← hs]
convert Finset.sum_subtype_of_mem f fun x => Finset.ne_of_mem_erase
have h2 := h ((s.erase i1).subtype fun i => i ≠ i1) (fun x => w x) hs2
simp_rw [Finset.mem_subtype] at h2
have h2b : ∀ i ∈ s, i ≠ i1 → w i = 0 := fun i his hi =>
h2 ⟨i, hi⟩ (Finset.mem_erase_of_ne_of_mem hi his)
exact Finset.eq_zero_of_sum_eq_zero hw h2b i hi
#align affine_independent_iff_linear_independent_vsub affineIndependent_iff_linearIndependent_vsub
theorem affineIndependent_set_iff_linearIndependent_vsub {s : Set P} {p₁ : P} (hp₁ : p₁ ∈ s) :
AffineIndependent k (fun p => p : s → P) ↔
LinearIndependent k (fun v => v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → V) := by
rw [affineIndependent_iff_linearIndependent_vsub k (fun p => p : s → P) ⟨p₁, hp₁⟩]
constructor
· intro h
have hv : ∀ v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}), (v : V) +ᵥ p₁ ∈ s \ {p₁} := fun v =>
(vsub_left_injective p₁).mem_set_image.1 ((vadd_vsub (v : V) p₁).symm ▸ v.property)
let f : (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → { x : s // x ≠ ⟨p₁, hp₁⟩ } := fun x =>
⟨⟨(x : V) +ᵥ p₁, Set.mem_of_mem_diff (hv x)⟩, fun hx =>
Set.not_mem_of_mem_diff (hv x) (Subtype.ext_iff.1 hx)⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (vadd_right_cancel p₁ (Subtype.ext_iff.1 (Subtype.ext_iff.1 hx)))
ext v
exact (vadd_vsub (v : V) p₁).symm
· intro h
let f : { x : s // x ≠ ⟨p₁, hp₁⟩ } → (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) := fun x =>
⟨((x : s) : P) -ᵥ p₁, ⟨x, ⟨⟨(x : s).property, fun hx => x.property (Subtype.ext hx)⟩, rfl⟩⟩⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (Subtype.ext (vsub_left_cancel (Subtype.ext_iff.1 hx)))
#align affine_independent_set_iff_linear_independent_vsub affineIndependent_set_iff_linearIndependent_vsub
theorem linearIndependent_set_iff_affineIndependent_vadd_union_singleton {s : Set V}
(hs : ∀ v ∈ s, v ≠ (0 : V)) (p₁ : P) : LinearIndependent k (fun v => v : s → V) ↔
AffineIndependent k (fun p => p : ({p₁} ∪ (fun v => v +ᵥ p₁) '' s : Set P) → P) := by
rw [affineIndependent_set_iff_linearIndependent_vsub k
(Set.mem_union_left _ (Set.mem_singleton p₁))]
have h : (fun p => (p -ᵥ p₁ : V)) '' (({p₁} ∪ (fun v => v +ᵥ p₁) '' s) \ {p₁}) = s := by
simp_rw [Set.union_diff_left, Set.image_diff (vsub_left_injective p₁), Set.image_image,
Set.image_singleton, vsub_self, vadd_vsub, Set.image_id']
exact Set.diff_singleton_eq_self fun h => hs 0 h rfl
rw [h]
#align linear_independent_set_iff_affine_independent_vadd_union_singleton linearIndependent_set_iff_affineIndependent_vadd_union_singleton
theorem affineIndependent_iff_indicator_eq_of_affineCombination_eq (p : ι → P) :
AffineIndependent k p ↔
∀ (s1 s2 : Finset ι) (w1 w2 : ι → k),
∑ i ∈ s1, w1 i = 1 →
∑ i ∈ s2, w2 i = 1 →
s1.affineCombination k p w1 = s2.affineCombination k p w2 →
Set.indicator (↑s1) w1 = Set.indicator (↑s2) w2 := by
classical
constructor
· intro ha s1 s2 w1 w2 hw1 hw2 heq
ext i
by_cases hi : i ∈ s1 ∪ s2
· rw [← sub_eq_zero]
rw [← Finset.sum_indicator_subset w1 (s1.subset_union_left (s₂:=s2))] at hw1
rw [← Finset.sum_indicator_subset w2 (s1.subset_union_right)] at hw2
have hws : (∑ i ∈ s1 ∪ s2, (Set.indicator (↑s1) w1 - Set.indicator (↑s2) w2) i) = 0 := by
simp [hw1, hw2]
rw [Finset.affineCombination_indicator_subset w1 p (s1.subset_union_left (s₂:=s2)),
Finset.affineCombination_indicator_subset w2 p s1.subset_union_right,
← @vsub_eq_zero_iff_eq V, Finset.affineCombination_vsub] at heq
exact ha (s1 ∪ s2) (Set.indicator (↑s1) w1 - Set.indicator (↑s2) w2) hws heq i hi
· rw [← Finset.mem_coe, Finset.coe_union] at hi
have h₁ : Set.indicator (↑s1) w1 i = 0 := by
simp only [Set.indicator, Finset.mem_coe, ite_eq_right_iff]
intro h
by_contra
exact (mt (@Set.mem_union_left _ i ↑s1 ↑s2) hi) h
have h₂ : Set.indicator (↑s2) w2 i = 0 := by
simp only [Set.indicator, Finset.mem_coe, ite_eq_right_iff]
intro h
by_contra
exact (mt (@Set.mem_union_right _ i ↑s2 ↑s1) hi) h
simp [h₁, h₂]
· intro ha s w hw hs i0 hi0
let w1 : ι → k := Function.update (Function.const ι 0) i0 1
have hw1 : ∑ i ∈ s, w1 i = 1 := by
rw [Finset.sum_update_of_mem hi0]
simp only [Finset.sum_const_zero, add_zero, const_apply]
have hw1s : s.affineCombination k p w1 = p i0 :=
s.affineCombination_of_eq_one_of_eq_zero w1 p hi0 (Function.update_same _ _ _)
fun _ _ hne => Function.update_noteq hne _ _
let w2 := w + w1
have hw2 : ∑ i ∈ s, w2 i = 1 := by
simp_all only [w2, Pi.add_apply, Finset.sum_add_distrib, zero_add]
have hw2s : s.affineCombination k p w2 = p i0 := by
simp_all only [w2, ← Finset.weightedVSub_vadd_affineCombination, zero_vadd]
replace ha := ha s s w2 w1 hw2 hw1 (hw1s.symm ▸ hw2s)
have hws : w2 i0 - w1 i0 = 0 := by
rw [← Finset.mem_coe] at hi0
rw [← Set.indicator_of_mem hi0 w2, ← Set.indicator_of_mem hi0 w1, ha, sub_self]
simpa [w2] using hws
#align affine_independent_iff_indicator_eq_of_affine_combination_eq affineIndependent_iff_indicator_eq_of_affineCombination_eq
theorem affineIndependent_iff_eq_of_fintype_affineCombination_eq [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔ ∀ w1 w2 : ι → k, ∑ i, w1 i = 1 → ∑ i, w2 i = 1 →
Finset.univ.affineCombination k p w1 = Finset.univ.affineCombination k p w2 → w1 = w2 := by
rw [affineIndependent_iff_indicator_eq_of_affineCombination_eq]
constructor
· intro h w1 w2 hw1 hw2 hweq
simpa only [Set.indicator_univ, Finset.coe_univ] using h _ _ w1 w2 hw1 hw2 hweq
· intro h s1 s2 w1 w2 hw1 hw2 hweq
have hw1' : (∑ i, (s1 : Set ι).indicator w1 i) = 1 := by
rwa [Finset.sum_indicator_subset _ (Finset.subset_univ s1)]
have hw2' : (∑ i, (s2 : Set ι).indicator w2 i) = 1 := by
rwa [Finset.sum_indicator_subset _ (Finset.subset_univ s2)]
rw [Finset.affineCombination_indicator_subset w1 p (Finset.subset_univ s1),
Finset.affineCombination_indicator_subset w2 p (Finset.subset_univ s2)] at hweq
exact h _ _ hw1' hw2' hweq
#align affine_independent_iff_eq_of_fintype_affine_combination_eq affineIndependent_iff_eq_of_fintype_affineCombination_eq
variable {k}
theorem AffineIndependent.units_lineMap {p : ι → P} (hp : AffineIndependent k p) (j : ι)
(w : ι → Units k) : AffineIndependent k fun i => AffineMap.lineMap (p j) (p i) (w i : k) := by
rw [affineIndependent_iff_linearIndependent_vsub k _ j] at hp ⊢
simp only [AffineMap.lineMap_vsub_left, AffineMap.coe_const, AffineMap.lineMap_same, const_apply]
exact hp.units_smul fun i => w i
#align affine_independent.units_line_map AffineIndependent.units_lineMap
theorem AffineIndependent.indicator_eq_of_affineCombination_eq {p : ι → P}
(ha : AffineIndependent k p) (s₁ s₂ : Finset ι) (w₁ w₂ : ι → k) (hw₁ : ∑ i ∈ s₁, w₁ i = 1)
(hw₂ : ∑ i ∈ s₂, w₂ i = 1) (h : s₁.affineCombination k p w₁ = s₂.affineCombination k p w₂) :
Set.indicator (↑s₁) w₁ = Set.indicator (↑s₂) w₂ :=
(affineIndependent_iff_indicator_eq_of_affineCombination_eq k p).1 ha s₁ s₂ w₁ w₂ hw₁ hw₂ h
#align affine_independent.indicator_eq_of_affine_combination_eq AffineIndependent.indicator_eq_of_affineCombination_eq
protected theorem AffineIndependent.injective [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) : Function.Injective p := by
intro i j hij
rw [affineIndependent_iff_linearIndependent_vsub _ _ j] at ha
by_contra hij'
refine ha.ne_zero ⟨i, hij'⟩ (vsub_eq_zero_iff_eq.mpr ?_)
simp_all only [ne_eq]
#align affine_independent.injective AffineIndependent.injective
theorem AffineIndependent.comp_embedding {ι2 : Type*} (f : ι2 ↪ ι) {p : ι → P}
(ha : AffineIndependent k p) : AffineIndependent k (p ∘ f) := by
classical
intro fs w hw hs i0 hi0
let fs' := fs.map f
let w' i := if h : ∃ i2, f i2 = i then w h.choose else 0
have hw' : ∀ i2 : ι2, w' (f i2) = w i2 := by
intro i2
have h : ∃ i : ι2, f i = f i2 := ⟨i2, rfl⟩
have hs : h.choose = i2 := f.injective h.choose_spec
simp_rw [w', dif_pos h, hs]
have hw's : ∑ i ∈ fs', w' i = 0 := by
rw [← hw, Finset.sum_map]
simp [hw']
have hs' : fs'.weightedVSub p w' = (0 : V) := by
rw [← hs, Finset.weightedVSub_map]
congr with i
simp_all only [comp_apply, EmbeddingLike.apply_eq_iff_eq, exists_eq, dite_true]
rw [← ha fs' w' hw's hs' (f i0) ((Finset.mem_map' _).2 hi0), hw']
#align affine_independent.comp_embedding AffineIndependent.comp_embedding
protected theorem AffineIndependent.subtype {p : ι → P} (ha : AffineIndependent k p) (s : Set ι) :
AffineIndependent k fun i : s => p i :=
ha.comp_embedding (Embedding.subtype _)
#align affine_independent.subtype AffineIndependent.subtype
protected theorem AffineIndependent.range {p : ι → P} (ha : AffineIndependent k p) :
AffineIndependent k (fun x => x : Set.range p → P) := by
let f : Set.range p → ι := fun x => x.property.choose
have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec
let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩
convert ha.comp_embedding fe
ext
simp [fe, hf]
#align affine_independent.range AffineIndependent.range
theorem affineIndependent_equiv {ι' : Type*} (e : ι ≃ ι') {p : ι' → P} :
AffineIndependent k (p ∘ e) ↔ AffineIndependent k p := by
refine ⟨?_, AffineIndependent.comp_embedding e.toEmbedding⟩
intro h
have : p = p ∘ e ∘ e.symm.toEmbedding := by
ext
simp
rw [this]
exact h.comp_embedding e.symm.toEmbedding
#align affine_independent_equiv affineIndependent_equiv
protected theorem AffineIndependent.mono {s t : Set P}
(ha : AffineIndependent k (fun x => x : t → P)) (hs : s ⊆ t) :
AffineIndependent k (fun x => x : s → P) :=
ha.comp_embedding (s.embeddingOfSubset t hs)
#align affine_independent.mono AffineIndependent.mono
theorem AffineIndependent.of_set_of_injective {p : ι → P}
(ha : AffineIndependent k (fun x => x : Set.range p → P)) (hi : Function.Injective p) :
AffineIndependent k p :=
ha.comp_embedding
(⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ :
ι ↪ Set.range p)
#align affine_independent.of_set_of_injective AffineIndependent.of_set_of_injective
| Mathlib/LinearAlgebra/AffineSpace/Independent.lean | 413 | 427 | theorem AffineIndependent.exists_mem_inter_of_exists_mem_inter_affineSpan [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) {s1 s2 : Set ι} {p0 : P} (hp0s1 : p0 ∈ affineSpan k (p '' s1))
(hp0s2 : p0 ∈ affineSpan k (p '' s2)) : ∃ i : ι, i ∈ s1 ∩ s2 := by |
rw [Set.image_eq_range] at hp0s1 hp0s2
rw [mem_affineSpan_iff_eq_affineCombination, ←
Finset.eq_affineCombination_subset_iff_eq_affineCombination_subtype] at hp0s1 hp0s2
rcases hp0s1 with ⟨fs1, hfs1, w1, hw1, hp0s1⟩
rcases hp0s2 with ⟨fs2, hfs2, w2, hw2, hp0s2⟩
rw [affineIndependent_iff_indicator_eq_of_affineCombination_eq] at ha
replace ha := ha fs1 fs2 w1 w2 hw1 hw2 (hp0s1 ▸ hp0s2)
have hnz : ∑ i ∈ fs1, w1 i ≠ 0 := hw1.symm ▸ one_ne_zero
rcases Finset.exists_ne_zero_of_sum_ne_zero hnz with ⟨i, hifs1, hinz⟩
simp_rw [← Set.indicator_of_mem (Finset.mem_coe.2 hifs1) w1, ha] at hinz
use i, hfs1 hifs1
exact hfs2 (Set.mem_of_indicator_ne_zero hinz)
|
import Mathlib.Algebra.Module.Zlattice.Basic
import Mathlib.NumberTheory.NumberField.Embeddings
import Mathlib.NumberTheory.NumberField.FractionalIdeal
#align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30"
variable (K : Type*) [Field K]
namespace NumberField.mixedEmbedding
open NumberField NumberField.InfinitePlace FiniteDimensional Finset
local notation "E" K =>
({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ)
noncomputable def _root_.NumberField.mixedEmbedding : K →+* (E K) :=
RingHom.prod (Pi.ringHom fun w => embedding_of_isReal w.prop)
(Pi.ringHom fun w => w.val.embedding)
instance [NumberField K] : Nontrivial (E K) := by
obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K))
obtain hw | hw := w.isReal_or_isComplex
· have : Nonempty {w : InfinitePlace K // IsReal w} := ⟨⟨w, hw⟩⟩
exact nontrivial_prod_left
· have : Nonempty {w : InfinitePlace K // IsComplex w} := ⟨⟨w, hw⟩⟩
exact nontrivial_prod_right
protected theorem finrank [NumberField K] : finrank ℝ (E K) = finrank ℚ K := by
classical
rw [finrank_prod, finrank_pi, finrank_pi_fintype, Complex.finrank_real_complex, sum_const,
card_univ, ← NrRealPlaces, ← NrComplexPlaces, ← card_real_embeddings, Algebra.id.smul_eq_mul,
mul_comm, ← card_complex_embeddings, ← NumberField.Embeddings.card K ℂ,
Fintype.card_subtype_compl, Nat.add_sub_of_le (Fintype.card_subtype_le _)]
theorem _root_.NumberField.mixedEmbedding_injective [NumberField K] :
Function.Injective (NumberField.mixedEmbedding K) := by
exact RingHom.injective _
noncomputable section norm
open scoped Classical
variable {K}
def normAtPlace (w : InfinitePlace K) : (E K) →*₀ ℝ where
toFun x := if hw : IsReal w then ‖x.1 ⟨w, hw⟩‖ else ‖x.2 ⟨w, not_isReal_iff_isComplex.mp hw⟩‖
map_zero' := by simp
map_one' := by simp
map_mul' x y := by split_ifs <;> simp
theorem normAtPlace_nonneg (w : InfinitePlace K) (x : E K) :
0 ≤ normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> exact norm_nonneg _
theorem normAtPlace_neg (w : InfinitePlace K) (x : E K) :
normAtPlace w (- x) = normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> simp
theorem normAtPlace_add_le (w : InfinitePlace K) (x y : E K) :
normAtPlace w (x + y) ≤ normAtPlace w x + normAtPlace w y := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> exact norm_add_le _ _
theorem normAtPlace_smul (w : InfinitePlace K) (x : E K) (c : ℝ) :
normAtPlace w (c • x) = |c| * normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs
· rw [Prod.smul_fst, Pi.smul_apply, norm_smul, Real.norm_eq_abs]
· rw [Prod.smul_snd, Pi.smul_apply, norm_smul, Real.norm_eq_abs, Complex.norm_eq_abs]
theorem normAtPlace_real (w : InfinitePlace K) (c : ℝ) :
normAtPlace w ((fun _ ↦ c, fun _ ↦ c) : (E K)) = |c| := by
rw [show ((fun _ ↦ c, fun _ ↦ c) : (E K)) = c • 1 by ext <;> simp, normAtPlace_smul, map_one,
mul_one]
theorem normAtPlace_apply_isReal {w : InfinitePlace K} (hw : IsReal w) (x : E K):
normAtPlace w x = ‖x.1 ⟨w, hw⟩‖ := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, dif_pos]
theorem normAtPlace_apply_isComplex {w : InfinitePlace K} (hw : IsComplex w) (x : E K) :
normAtPlace w x = ‖x.2 ⟨w, hw⟩‖ := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk,
dif_neg (not_isReal_iff_isComplex.mpr hw)]
@[simp]
theorem normAtPlace_apply (w : InfinitePlace K) (x : K) :
normAtPlace w (mixedEmbedding K x) = w x := by
simp_rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, mixedEmbedding,
RingHom.prod_apply, Pi.ringHom_apply, norm_embedding_of_isReal, norm_embedding_eq, dite_eq_ite,
ite_id]
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean | 302 | 308 | theorem normAtPlace_eq_zero {x : E K} :
(∀ w, normAtPlace w x = 0) ↔ x = 0 := by |
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· ext w
· exact norm_eq_zero'.mp (normAtPlace_apply_isReal w.prop _ ▸ h w.1)
· exact norm_eq_zero'.mp (normAtPlace_apply_isComplex w.prop _ ▸ h w.1)
· simp_rw [h, map_zero, implies_true]
|
import Mathlib.Analysis.BoxIntegral.Partition.Basic
#align_import analysis.box_integral.partition.split from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f"
noncomputable section
open scoped Classical
open Filter
open Function Set Filter
namespace BoxIntegral
variable {ι M : Type*} {n : ℕ}
namespace Box
variable {I : Box ι} {i : ι} {x : ℝ} {y : ι → ℝ}
def splitLower (I : Box ι) (i : ι) (x : ℝ) : WithBot (Box ι) :=
mk' I.lower (update I.upper i (min x (I.upper i)))
#align box_integral.box.split_lower BoxIntegral.Box.splitLower
@[simp]
theorem coe_splitLower : (splitLower I i x : Set (ι → ℝ)) = ↑I ∩ { y | y i ≤ x } := by
rw [splitLower, coe_mk']
ext y
simp only [mem_univ_pi, mem_Ioc, mem_inter_iff, mem_coe, mem_setOf_eq, forall_and, ← Pi.le_def,
le_update_iff, le_min_iff, and_assoc, and_forall_ne (p := fun j => y j ≤ upper I j) i, mem_def]
rw [and_comm (a := y i ≤ x)]
#align box_integral.box.coe_split_lower BoxIntegral.Box.coe_splitLower
theorem splitLower_le : I.splitLower i x ≤ I :=
withBotCoe_subset_iff.1 <| by simp
#align box_integral.box.split_lower_le BoxIntegral.Box.splitLower_le
@[simp]
theorem splitLower_eq_bot {i x} : I.splitLower i x = ⊥ ↔ x ≤ I.lower i := by
rw [splitLower, mk'_eq_bot, exists_update_iff I.upper fun j y => y ≤ I.lower j]
simp [(I.lower_lt_upper _).not_le]
#align box_integral.box.split_lower_eq_bot BoxIntegral.Box.splitLower_eq_bot
@[simp]
| Mathlib/Analysis/BoxIntegral/Partition/Split.lean | 84 | 85 | theorem splitLower_eq_self : I.splitLower i x = I ↔ I.upper i ≤ x := by |
simp [splitLower, update_eq_iff]
|
import Mathlib.FieldTheory.Minpoly.Field
#align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f"
open Polynomial
open Polynomial
variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S]
variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B]
variable {K : Type*} [Field K]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where
gen : S
dim : ℕ
basis : Basis (Fin dim) R S
basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ)
#align power_basis PowerBasis
-- this is usually not needed because of `basis_eq_pow` but can be needed in some cases;
-- in such circumstances, add it manually using `@[simps dim gen basis]`.
initialize_simps_projections PowerBasis (-basis)
namespace PowerBasis
@[simp]
theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) :=
funext pb.basis_eq_pow
#align power_basis.coe_basis PowerBasis.coe_basis
theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis
#align power_basis.finite_dimensional PowerBasis.finite
@[deprecated] alias finiteDimensional := PowerBasis.finite
theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) :
FiniteDimensional.finrank R S = pb.dim := by
rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin]
#align power_basis.finrank PowerBasis.finrank
theorem mem_span_pow' {x y : S} {d : ℕ} :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.degree < d ∧ y = aeval x f := by
have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by
ext n
simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range]
exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩
simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support,
exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum,
Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop,
LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight,
Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe]
simp_rw [@eq_comm _ y]
exact Iff.rfl
#align power_basis.mem_span_pow' PowerBasis.mem_span_pow'
theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by
rw [mem_span_pow']
constructor <;>
· rintro ⟨f, h, hy⟩
refine ⟨f, ?_, hy⟩
by_cases hf : f = 0
· simp only [hf, natDegree_zero, degree_zero] at h ⊢
first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d
simp_all only [degree_eq_natDegree hf]
· first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h
#align power_basis.mem_span_pow PowerBasis.mem_span_pow
theorem dim_ne_zero [Nontrivial S] (pb : PowerBasis R S) : pb.dim ≠ 0 := fun h =>
not_nonempty_iff.mpr (h.symm ▸ Fin.isEmpty : IsEmpty (Fin pb.dim)) pb.basis.index_nonempty
#align power_basis.dim_ne_zero PowerBasis.dim_ne_zero
theorem dim_pos [Nontrivial S] (pb : PowerBasis R S) : 0 < pb.dim :=
Nat.pos_of_ne_zero pb.dim_ne_zero
#align power_basis.dim_pos PowerBasis.dim_pos
theorem exists_eq_aeval [Nontrivial S] (pb : PowerBasis R S) (y : S) :
∃ f : R[X], f.natDegree < pb.dim ∧ y = aeval pb.gen f :=
(mem_span_pow pb.dim_ne_zero).mp (by simpa using pb.basis.mem_span y)
#align power_basis.exists_eq_aeval PowerBasis.exists_eq_aeval
theorem exists_eq_aeval' (pb : PowerBasis R S) (y : S) : ∃ f : R[X], y = aeval pb.gen f := by
nontriviality S
obtain ⟨f, _, hf⟩ := exists_eq_aeval pb y
exact ⟨f, hf⟩
#align power_basis.exists_eq_aeval' PowerBasis.exists_eq_aeval'
theorem algHom_ext {S' : Type*} [Semiring S'] [Algebra R S'] (pb : PowerBasis R S)
⦃f g : S →ₐ[R] S'⦄ (h : f pb.gen = g pb.gen) : f = g := by
ext x
obtain ⟨f, rfl⟩ := pb.exists_eq_aeval' x
rw [← Polynomial.aeval_algHom_apply, ← Polynomial.aeval_algHom_apply, h]
#align power_basis.alg_hom_ext PowerBasis.algHom_ext
section minpoly
variable [Algebra A S]
noncomputable def minpolyGen (pb : PowerBasis A S) : A[X] :=
X ^ pb.dim - ∑ i : Fin pb.dim, C (pb.basis.repr (pb.gen ^ pb.dim) i) * X ^ (i : ℕ)
#align power_basis.minpoly_gen PowerBasis.minpolyGen
theorem aeval_minpolyGen (pb : PowerBasis A S) : aeval pb.gen (minpolyGen pb) = 0 := by
simp_rw [minpolyGen, AlgHom.map_sub, AlgHom.map_sum, AlgHom.map_mul, AlgHom.map_pow, aeval_C, ←
Algebra.smul_def, aeval_X]
refine sub_eq_zero.mpr ((pb.basis.total_repr (pb.gen ^ pb.dim)).symm.trans ?_)
rw [Finsupp.total_apply, Finsupp.sum_fintype] <;>
simp only [pb.coe_basis, zero_smul, eq_self_iff_true, imp_true_iff]
#align power_basis.aeval_minpoly_gen PowerBasis.aeval_minpolyGen
theorem minpolyGen_monic (pb : PowerBasis A S) : Monic (minpolyGen pb) := by
nontriviality A
apply (monic_X_pow _).sub_of_left _
rw [degree_X_pow]
exact degree_sum_fin_lt _
#align power_basis.minpoly_gen_monic PowerBasis.minpolyGen_monic
theorem dim_le_natDegree_of_root (pb : PowerBasis A S) {p : A[X]} (ne_zero : p ≠ 0)
(root : aeval pb.gen p = 0) : pb.dim ≤ p.natDegree := by
refine le_of_not_lt fun hlt => ne_zero ?_
rw [p.as_sum_range' _ hlt, Finset.sum_range]
refine Fintype.sum_eq_zero _ fun i => ?_
simp_rw [aeval_eq_sum_range' hlt, Finset.sum_range, ← pb.basis_eq_pow] at root
have := Fintype.linearIndependent_iff.1 pb.basis.linearIndependent _ root
rw [this, monomial_zero_right]
#align power_basis.dim_le_nat_degree_of_root PowerBasis.dim_le_natDegree_of_root
theorem dim_le_degree_of_root (h : PowerBasis A S) {p : A[X]} (ne_zero : p ≠ 0)
(root : aeval h.gen p = 0) : ↑h.dim ≤ p.degree := by
rw [degree_eq_natDegree ne_zero]
exact WithBot.coe_le_coe.2 (h.dim_le_natDegree_of_root ne_zero root)
#align power_basis.dim_le_degree_of_root PowerBasis.dim_le_degree_of_root
theorem degree_minpolyGen [Nontrivial A] (pb : PowerBasis A S) :
degree (minpolyGen pb) = pb.dim := by
unfold minpolyGen
rw [degree_sub_eq_left_of_degree_lt] <;> rw [degree_X_pow]
apply degree_sum_fin_lt
#align power_basis.degree_minpoly_gen PowerBasis.degree_minpolyGen
theorem natDegree_minpolyGen [Nontrivial A] (pb : PowerBasis A S) :
natDegree (minpolyGen pb) = pb.dim :=
natDegree_eq_of_degree_eq_some pb.degree_minpolyGen
#align power_basis.nat_degree_minpoly_gen PowerBasis.natDegree_minpolyGen
@[simp]
theorem minpolyGen_eq (pb : PowerBasis A S) : pb.minpolyGen = minpoly A pb.gen := by
nontriviality A
refine minpoly.unique' A _ pb.minpolyGen_monic pb.aeval_minpolyGen fun q hq =>
or_iff_not_imp_left.2 fun hn0 h0 => ?_
exact (pb.dim_le_degree_of_root hn0 h0).not_lt (pb.degree_minpolyGen ▸ hq)
#align power_basis.minpoly_gen_eq PowerBasis.minpolyGen_eq
theorem isIntegral_gen (pb : PowerBasis A S) : IsIntegral A pb.gen :=
⟨minpolyGen pb, minpolyGen_monic pb, aeval_minpolyGen pb⟩
#align power_basis.is_integral_gen PowerBasis.isIntegral_gen
@[simp]
theorem degree_minpoly [Nontrivial A] (pb : PowerBasis A S) :
degree (minpoly A pb.gen) = pb.dim := by rw [← minpolyGen_eq, degree_minpolyGen]
#align power_basis.degree_minpoly PowerBasis.degree_minpoly
@[simp]
| Mathlib/RingTheory/PowerBasis.lean | 215 | 216 | theorem natDegree_minpoly [Nontrivial A] (pb : PowerBasis A S) :
(minpoly A pb.gen).natDegree = pb.dim := by | rw [← minpolyGen_eq, natDegree_minpolyGen]
|
import Mathlib.Order.Filter.Basic
#align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
open Set
open Filter
namespace Filter
variable {α β γ δ : Type*} {ι : Sort*}
section Prod
variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β}
protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) :=
f.comap Prod.fst ⊓ g.comap Prod.snd
#align filter.prod Filter.prod
instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where
sprod := Filter.prod
theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g :=
inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht)
#align filter.prod_mem_prod Filter.prod_mem_prod
theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} :
s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by
simp only [SProd.sprod, Filter.prod]
constructor
· rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩
exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩
· rintro ⟨t₁, ht₁, t₂, ht₂, h⟩
exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h
#align filter.mem_prod_iff Filter.mem_prod_iff
@[simp]
theorem prod_mem_prod_iff [f.NeBot] [g.NeBot] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g :=
⟨fun h =>
let ⟨_s', hs', _t', ht', H⟩ := mem_prod_iff.1 h
(prod_subset_prod_iff.1 H).elim
(fun ⟨hs's, ht't⟩ => ⟨mem_of_superset hs' hs's, mem_of_superset ht' ht't⟩) fun h =>
h.elim (fun hs'e => absurd hs'e (nonempty_of_mem hs').ne_empty) fun ht'e =>
absurd ht'e (nonempty_of_mem ht').ne_empty,
fun h => prod_mem_prod h.1 h.2⟩
#align filter.prod_mem_prod_iff Filter.prod_mem_prod_iff
theorem mem_prod_principal {s : Set (α × β)} :
s ∈ f ×ˢ 𝓟 t ↔ { a | ∀ b ∈ t, (a, b) ∈ s } ∈ f := by
rw [← @exists_mem_subset_iff _ f, mem_prod_iff]
refine exists_congr fun u => Iff.rfl.and ⟨?_, fun h => ⟨t, mem_principal_self t, ?_⟩⟩
· rintro ⟨v, v_in, hv⟩ a a_in b b_in
exact hv (mk_mem_prod a_in <| v_in b_in)
· rintro ⟨x, y⟩ ⟨hx, hy⟩
exact h hx y hy
#align filter.mem_prod_principal Filter.mem_prod_principal
theorem mem_prod_top {s : Set (α × β)} :
s ∈ f ×ˢ (⊤ : Filter β) ↔ { a | ∀ b, (a, b) ∈ s } ∈ f := by
rw [← principal_univ, mem_prod_principal]
simp only [mem_univ, forall_true_left]
#align filter.mem_prod_top Filter.mem_prod_top
theorem eventually_prod_principal_iff {p : α × β → Prop} {s : Set β} :
(∀ᶠ x : α × β in f ×ˢ 𝓟 s, p x) ↔ ∀ᶠ x : α in f, ∀ y : β, y ∈ s → p (x, y) := by
rw [eventually_iff, eventually_iff, mem_prod_principal]
simp only [mem_setOf_eq]
#align filter.eventually_prod_principal_iff Filter.eventually_prod_principal_iff
theorem comap_prod (f : α → β × γ) (b : Filter β) (c : Filter γ) :
comap f (b ×ˢ c) = comap (Prod.fst ∘ f) b ⊓ comap (Prod.snd ∘ f) c := by
erw [comap_inf, Filter.comap_comap, Filter.comap_comap]
#align filter.comap_prod Filter.comap_prod
theorem prod_top : f ×ˢ (⊤ : Filter β) = f.comap Prod.fst := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_top, inf_top_eq]
#align filter.prod_top Filter.prod_top
theorem top_prod : (⊤ : Filter α) ×ˢ g = g.comap Prod.snd := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_top, top_inf_eq]
theorem sup_prod (f₁ f₂ : Filter α) (g : Filter β) : (f₁ ⊔ f₂) ×ˢ g = (f₁ ×ˢ g) ⊔ (f₂ ×ˢ g) := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_sup, inf_sup_right, ← Filter.prod, ← Filter.prod]
#align filter.sup_prod Filter.sup_prod
theorem prod_sup (f : Filter α) (g₁ g₂ : Filter β) : f ×ˢ (g₁ ⊔ g₂) = (f ×ˢ g₁) ⊔ (f ×ˢ g₂) := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_sup, inf_sup_left, ← Filter.prod, ← Filter.prod]
#align filter.prod_sup Filter.prod_sup
theorem eventually_prod_iff {p : α × β → Prop} :
(∀ᶠ x in f ×ˢ g, p x) ↔
∃ pa : α → Prop, (∀ᶠ x in f, pa x) ∧ ∃ pb : β → Prop, (∀ᶠ y in g, pb y) ∧
∀ {x}, pa x → ∀ {y}, pb y → p (x, y) := by
simpa only [Set.prod_subset_iff] using @mem_prod_iff α β p f g
#align filter.eventually_prod_iff Filter.eventually_prod_iff
theorem tendsto_fst : Tendsto Prod.fst (f ×ˢ g) f :=
tendsto_inf_left tendsto_comap
#align filter.tendsto_fst Filter.tendsto_fst
theorem tendsto_snd : Tendsto Prod.snd (f ×ˢ g) g :=
tendsto_inf_right tendsto_comap
#align filter.tendsto_snd Filter.tendsto_snd
theorem Tendsto.fst {h : Filter γ} {m : α → β × γ} (H : Tendsto m f (g ×ˢ h)) :
Tendsto (fun a ↦ (m a).1) f g :=
tendsto_fst.comp H
theorem Tendsto.snd {h : Filter γ} {m : α → β × γ} (H : Tendsto m f (g ×ˢ h)) :
Tendsto (fun a ↦ (m a).2) f h :=
tendsto_snd.comp H
theorem Tendsto.prod_mk {h : Filter γ} {m₁ : α → β} {m₂ : α → γ}
(h₁ : Tendsto m₁ f g) (h₂ : Tendsto m₂ f h) : Tendsto (fun x => (m₁ x, m₂ x)) f (g ×ˢ h) :=
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
#align filter.tendsto.prod_mk Filter.Tendsto.prod_mk
theorem tendsto_prod_swap : Tendsto (Prod.swap : α × β → β × α) (f ×ˢ g) (g ×ˢ f) :=
tendsto_snd.prod_mk tendsto_fst
#align filter.tendsto_prod_swap Filter.tendsto_prod_swap
theorem Eventually.prod_inl {la : Filter α} {p : α → Prop} (h : ∀ᶠ x in la, p x) (lb : Filter β) :
∀ᶠ x in la ×ˢ lb, p (x : α × β).1 :=
tendsto_fst.eventually h
#align filter.eventually.prod_inl Filter.Eventually.prod_inl
theorem Eventually.prod_inr {lb : Filter β} {p : β → Prop} (h : ∀ᶠ x in lb, p x) (la : Filter α) :
∀ᶠ x in la ×ˢ lb, p (x : α × β).2 :=
tendsto_snd.eventually h
#align filter.eventually.prod_inr Filter.Eventually.prod_inr
theorem Eventually.prod_mk {la : Filter α} {pa : α → Prop} (ha : ∀ᶠ x in la, pa x) {lb : Filter β}
{pb : β → Prop} (hb : ∀ᶠ y in lb, pb y) : ∀ᶠ p in la ×ˢ lb, pa (p : α × β).1 ∧ pb p.2 :=
(ha.prod_inl lb).and (hb.prod_inr la)
#align filter.eventually.prod_mk Filter.Eventually.prod_mk
theorem EventuallyEq.prod_map {δ} {la : Filter α} {fa ga : α → γ} (ha : fa =ᶠ[la] ga)
{lb : Filter β} {fb gb : β → δ} (hb : fb =ᶠ[lb] gb) :
Prod.map fa fb =ᶠ[la ×ˢ lb] Prod.map ga gb :=
(Eventually.prod_mk ha hb).mono fun _ h => Prod.ext h.1 h.2
#align filter.eventually_eq.prod_map Filter.EventuallyEq.prod_map
theorem EventuallyLE.prod_map {δ} [LE γ] [LE δ] {la : Filter α} {fa ga : α → γ} (ha : fa ≤ᶠ[la] ga)
{lb : Filter β} {fb gb : β → δ} (hb : fb ≤ᶠ[lb] gb) :
Prod.map fa fb ≤ᶠ[la ×ˢ lb] Prod.map ga gb :=
Eventually.prod_mk ha hb
#align filter.eventually_le.prod_map Filter.EventuallyLE.prod_map
theorem Eventually.curry {la : Filter α} {lb : Filter β} {p : α × β → Prop}
(h : ∀ᶠ x in la ×ˢ lb, p x) : ∀ᶠ x in la, ∀ᶠ y in lb, p (x, y) := by
rcases eventually_prod_iff.1 h with ⟨pa, ha, pb, hb, h⟩
exact ha.mono fun a ha => hb.mono fun b hb => h ha hb
#align filter.eventually.curry Filter.Eventually.curry
protected lemma Frequently.uncurry {la : Filter α} {lb : Filter β} {p : α → β → Prop}
(h : ∃ᶠ x in la, ∃ᶠ y in lb, p x y) : ∃ᶠ xy in la ×ˢ lb, p xy.1 xy.2 :=
mt (fun h ↦ by simpa only [not_frequently] using h.curry) h
theorem Eventually.diag_of_prod {p : α × α → Prop} (h : ∀ᶠ i in f ×ˢ f, p i) :
∀ᶠ i in f, p (i, i) := by
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
apply (ht.and hs).mono fun x hx => hst hx.1 hx.2
#align filter.eventually.diag_of_prod Filter.Eventually.diag_of_prod
theorem Eventually.diag_of_prod_left {f : Filter α} {g : Filter γ} {p : (α × α) × γ → Prop} :
(∀ᶠ x in (f ×ˢ f) ×ˢ g, p x) → ∀ᶠ x : α × γ in f ×ˢ g, p ((x.1, x.1), x.2) := by
intro h
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
exact (ht.diag_of_prod.prod_mk hs).mono fun x hx => by simp only [hst hx.1 hx.2]
#align filter.eventually.diag_of_prod_left Filter.Eventually.diag_of_prod_left
theorem Eventually.diag_of_prod_right {f : Filter α} {g : Filter γ} {p : α × γ × γ → Prop} :
(∀ᶠ x in f ×ˢ (g ×ˢ g), p x) → ∀ᶠ x : α × γ in f ×ˢ g, p (x.1, x.2, x.2) := by
intro h
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
exact (ht.prod_mk hs.diag_of_prod).mono fun x hx => by simp only [hst hx.1 hx.2]
#align filter.eventually.diag_of_prod_right Filter.Eventually.diag_of_prod_right
theorem tendsto_diag : Tendsto (fun i => (i, i)) f (f ×ˢ f) :=
tendsto_iff_eventually.mpr fun _ hpr => hpr.diag_of_prod
#align filter.tendsto_diag Filter.tendsto_diag
theorem prod_iInf_left [Nonempty ι] {f : ι → Filter α} {g : Filter β} :
(⨅ i, f i) ×ˢ g = ⨅ i, f i ×ˢ g := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_iInf, iInf_inf]
simp only [Filter.prod, eq_self_iff_true]
#align filter.prod_infi_left Filter.prod_iInf_left
theorem prod_iInf_right [Nonempty ι] {f : Filter α} {g : ι → Filter β} :
(f ×ˢ ⨅ i, g i) = ⨅ i, f ×ˢ g i := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_iInf, inf_iInf]
simp only [Filter.prod, eq_self_iff_true]
#align filter.prod_infi_right Filter.prod_iInf_right
@[mono, gcongr]
theorem prod_mono {f₁ f₂ : Filter α} {g₁ g₂ : Filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) :
f₁ ×ˢ g₁ ≤ f₂ ×ˢ g₂ :=
inf_le_inf (comap_mono hf) (comap_mono hg)
#align filter.prod_mono Filter.prod_mono
@[gcongr]
theorem prod_mono_left (g : Filter β) {f₁ f₂ : Filter α} (hf : f₁ ≤ f₂) : f₁ ×ˢ g ≤ f₂ ×ˢ g :=
Filter.prod_mono hf rfl.le
#align filter.prod_mono_left Filter.prod_mono_left
@[gcongr]
theorem prod_mono_right (f : Filter α) {g₁ g₂ : Filter β} (hf : g₁ ≤ g₂) : f ×ˢ g₁ ≤ f ×ˢ g₂ :=
Filter.prod_mono rfl.le hf
#align filter.prod_mono_right Filter.prod_mono_right
theorem prod_comap_comap_eq.{u, v, w, x} {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : β₁ → α₁} {m₂ : β₂ → α₂} :
comap m₁ f₁ ×ˢ comap m₂ f₂ = comap (fun p : β₁ × β₂ => (m₁ p.1, m₂ p.2)) (f₁ ×ˢ f₂) := by
simp only [SProd.sprod, Filter.prod, comap_comap, comap_inf, (· ∘ ·)]
#align filter.prod_comap_comap_eq Filter.prod_comap_comap_eq
theorem prod_comm' : f ×ˢ g = comap Prod.swap (g ×ˢ f) := by
simp only [SProd.sprod, Filter.prod, comap_comap, (· ∘ ·), inf_comm, Prod.swap, comap_inf]
#align filter.prod_comm' Filter.prod_comm'
theorem prod_comm : f ×ˢ g = map (fun p : β × α => (p.2, p.1)) (g ×ˢ f) := by
rw [prod_comm', ← map_swap_eq_comap_swap]
rfl
#align filter.prod_comm Filter.prod_comm
theorem mem_prod_iff_left {s : Set (α × β)} :
s ∈ f ×ˢ g ↔ ∃ t ∈ f, ∀ᶠ y in g, ∀ x ∈ t, (x, y) ∈ s := by
simp only [mem_prod_iff, prod_subset_iff]
refine exists_congr fun _ => Iff.rfl.and <| Iff.trans ?_ exists_mem_subset_iff
exact exists_congr fun _ => Iff.rfl.and forall₂_swap
| Mathlib/Order/Filter/Prod.lean | 283 | 285 | theorem mem_prod_iff_right {s : Set (α × β)} :
s ∈ f ×ˢ g ↔ ∃ t ∈ g, ∀ᶠ x in f, ∀ y ∈ t, (x, y) ∈ s := by |
rw [prod_comm, mem_map, mem_prod_iff_left]; rfl
|
import Mathlib.MeasureTheory.Measure.Restrict
open scoped ENNReal NNReal Topology
open Set MeasureTheory Measure Filter Function MeasurableSpace ENNReal
variable {α β δ ι : Type*}
namespace MeasureTheory
variable {m0 : MeasurableSpace α} [MeasurableSpace β] {μ ν ν₁ ν₂: Measure α}
{s t : Set α}
section IsFiniteMeasure
class IsFiniteMeasure (μ : Measure α) : Prop where
measure_univ_lt_top : μ univ < ∞
#align measure_theory.is_finite_measure MeasureTheory.IsFiniteMeasure
#align measure_theory.is_finite_measure.measure_univ_lt_top MeasureTheory.IsFiniteMeasure.measure_univ_lt_top
theorem not_isFiniteMeasure_iff : ¬IsFiniteMeasure μ ↔ μ Set.univ = ∞ := by
refine ⟨fun h => ?_, fun h => fun h' => h'.measure_univ_lt_top.ne h⟩
by_contra h'
exact h ⟨lt_top_iff_ne_top.mpr h'⟩
#align measure_theory.not_is_finite_measure_iff MeasureTheory.not_isFiniteMeasure_iff
instance Restrict.isFiniteMeasure (μ : Measure α) [hs : Fact (μ s < ∞)] :
IsFiniteMeasure (μ.restrict s) :=
⟨by simpa using hs.elim⟩
#align measure_theory.restrict.is_finite_measure MeasureTheory.Restrict.isFiniteMeasure
theorem measure_lt_top (μ : Measure α) [IsFiniteMeasure μ] (s : Set α) : μ s < ∞ :=
(measure_mono (subset_univ s)).trans_lt IsFiniteMeasure.measure_univ_lt_top
#align measure_theory.measure_lt_top MeasureTheory.measure_lt_top
instance isFiniteMeasureRestrict (μ : Measure α) (s : Set α) [h : IsFiniteMeasure μ] :
IsFiniteMeasure (μ.restrict s) :=
⟨by simpa using measure_lt_top μ s⟩
#align measure_theory.is_finite_measure_restrict MeasureTheory.isFiniteMeasureRestrict
theorem measure_ne_top (μ : Measure α) [IsFiniteMeasure μ] (s : Set α) : μ s ≠ ∞ :=
ne_of_lt (measure_lt_top μ s)
#align measure_theory.measure_ne_top MeasureTheory.measure_ne_top
theorem measure_compl_le_add_of_le_add [IsFiniteMeasure μ] (hs : MeasurableSet s)
(ht : MeasurableSet t) {ε : ℝ≥0∞} (h : μ s ≤ μ t + ε) : μ tᶜ ≤ μ sᶜ + ε := by
rw [measure_compl ht (measure_ne_top μ _), measure_compl hs (measure_ne_top μ _),
tsub_le_iff_right]
calc
μ univ = μ univ - μ s + μ s := (tsub_add_cancel_of_le <| measure_mono s.subset_univ).symm
_ ≤ μ univ - μ s + (μ t + ε) := add_le_add_left h _
_ = _ := by rw [add_right_comm, add_assoc]
#align measure_theory.measure_compl_le_add_of_le_add MeasureTheory.measure_compl_le_add_of_le_add
theorem measure_compl_le_add_iff [IsFiniteMeasure μ] (hs : MeasurableSet s) (ht : MeasurableSet t)
{ε : ℝ≥0∞} : μ sᶜ ≤ μ tᶜ + ε ↔ μ t ≤ μ s + ε :=
⟨fun h => compl_compl s ▸ compl_compl t ▸ measure_compl_le_add_of_le_add hs.compl ht.compl h,
measure_compl_le_add_of_le_add ht hs⟩
#align measure_theory.measure_compl_le_add_iff MeasureTheory.measure_compl_le_add_iff
def measureUnivNNReal (μ : Measure α) : ℝ≥0 :=
(μ univ).toNNReal
#align measure_theory.measure_univ_nnreal MeasureTheory.measureUnivNNReal
@[simp]
theorem coe_measureUnivNNReal (μ : Measure α) [IsFiniteMeasure μ] :
↑(measureUnivNNReal μ) = μ univ :=
ENNReal.coe_toNNReal (measure_ne_top μ univ)
#align measure_theory.coe_measure_univ_nnreal MeasureTheory.coe_measureUnivNNReal
instance isFiniteMeasureZero : IsFiniteMeasure (0 : Measure α) :=
⟨by simp⟩
#align measure_theory.is_finite_measure_zero MeasureTheory.isFiniteMeasureZero
instance (priority := 50) isFiniteMeasureOfIsEmpty [IsEmpty α] : IsFiniteMeasure μ := by
rw [eq_zero_of_isEmpty μ]
infer_instance
#align measure_theory.is_finite_measure_of_is_empty MeasureTheory.isFiniteMeasureOfIsEmpty
@[simp]
theorem measureUnivNNReal_zero : measureUnivNNReal (0 : Measure α) = 0 :=
rfl
#align measure_theory.measure_univ_nnreal_zero MeasureTheory.measureUnivNNReal_zero
instance isFiniteMeasureAdd [IsFiniteMeasure μ] [IsFiniteMeasure ν] : IsFiniteMeasure (μ + ν) where
measure_univ_lt_top := by
rw [Measure.coe_add, Pi.add_apply, ENNReal.add_lt_top]
exact ⟨measure_lt_top _ _, measure_lt_top _ _⟩
#align measure_theory.is_finite_measure_add MeasureTheory.isFiniteMeasureAdd
instance isFiniteMeasureSMulNNReal [IsFiniteMeasure μ] {r : ℝ≥0} : IsFiniteMeasure (r • μ) where
measure_univ_lt_top := ENNReal.mul_lt_top ENNReal.coe_ne_top (measure_ne_top _ _)
#align measure_theory.is_finite_measure_smul_nnreal MeasureTheory.isFiniteMeasureSMulNNReal
instance IsFiniteMeasure.average : IsFiniteMeasure ((μ univ)⁻¹ • μ) where
measure_univ_lt_top := by
rw [smul_apply, smul_eq_mul, ← ENNReal.div_eq_inv_mul]
exact ENNReal.div_self_le_one.trans_lt ENNReal.one_lt_top
instance isFiniteMeasureSMulOfNNRealTower {R} [SMul R ℝ≥0] [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0 ℝ≥0∞]
[IsScalarTower R ℝ≥0∞ ℝ≥0∞] [IsFiniteMeasure μ] {r : R} : IsFiniteMeasure (r • μ) := by
rw [← smul_one_smul ℝ≥0 r μ]
infer_instance
#align measure_theory.is_finite_measure_smul_of_nnreal_tower MeasureTheory.isFiniteMeasureSMulOfNNRealTower
theorem isFiniteMeasure_of_le (μ : Measure α) [IsFiniteMeasure μ] (h : ν ≤ μ) : IsFiniteMeasure ν :=
{ measure_univ_lt_top := (h Set.univ).trans_lt (measure_lt_top _ _) }
#align measure_theory.is_finite_measure_of_le MeasureTheory.isFiniteMeasure_of_le
@[instance]
theorem Measure.isFiniteMeasure_map {m : MeasurableSpace α} (μ : Measure α) [IsFiniteMeasure μ]
(f : α → β) : IsFiniteMeasure (μ.map f) := by
by_cases hf : AEMeasurable f μ
· constructor
rw [map_apply_of_aemeasurable hf MeasurableSet.univ]
exact measure_lt_top μ _
· rw [map_of_not_aemeasurable hf]
exact MeasureTheory.isFiniteMeasureZero
#align measure_theory.measure.is_finite_measure_map MeasureTheory.Measure.isFiniteMeasure_map
@[simp]
theorem measureUnivNNReal_eq_zero [IsFiniteMeasure μ] : measureUnivNNReal μ = 0 ↔ μ = 0 := by
rw [← MeasureTheory.Measure.measure_univ_eq_zero, ← coe_measureUnivNNReal]
norm_cast
#align measure_theory.measure_univ_nnreal_eq_zero MeasureTheory.measureUnivNNReal_eq_zero
theorem measureUnivNNReal_pos [IsFiniteMeasure μ] (hμ : μ ≠ 0) : 0 < measureUnivNNReal μ := by
contrapose! hμ
simpa [measureUnivNNReal_eq_zero, Nat.le_zero] using hμ
#align measure_theory.measure_univ_nnreal_pos MeasureTheory.measureUnivNNReal_pos
theorem Measure.le_of_add_le_add_left [IsFiniteMeasure μ] (A2 : μ + ν₁ ≤ μ + ν₂) : ν₁ ≤ ν₂ :=
fun S => ENNReal.le_of_add_le_add_left (MeasureTheory.measure_ne_top μ S) (A2 S)
#align measure_theory.measure.le_of_add_le_add_left MeasureTheory.Measure.le_of_add_le_add_left
theorem summable_measure_toReal [hμ : IsFiniteMeasure μ] {f : ℕ → Set α}
(hf₁ : ∀ i : ℕ, MeasurableSet (f i)) (hf₂ : Pairwise (Disjoint on f)) :
Summable fun x => (μ (f x)).toReal := by
apply ENNReal.summable_toReal
rw [← MeasureTheory.measure_iUnion hf₂ hf₁]
exact ne_of_lt (measure_lt_top _ _)
#align measure_theory.summable_measure_to_real MeasureTheory.summable_measure_toReal
| Mathlib/MeasureTheory/Measure/Typeclasses.lean | 167 | 174 | theorem ae_eq_univ_iff_measure_eq [IsFiniteMeasure μ] (hs : NullMeasurableSet s μ) :
s =ᵐ[μ] univ ↔ μ s = μ univ := by |
refine ⟨measure_congr, fun h => ?_⟩
obtain ⟨t, -, ht₁, ht₂⟩ := hs.exists_measurable_subset_ae_eq
exact
ht₂.symm.trans
(ae_eq_of_subset_of_measure_ge (subset_univ t) (Eq.le ((measure_congr ht₂).trans h).symm) ht₁
(measure_ne_top μ univ))
|
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]
theorem cos_neg (θ : Angle) : cos (-θ) = cos θ := by
induction θ using Real.Angle.induction_on
exact Real.cos_neg _
#align real.angle.cos_neg Real.Angle.cos_neg
theorem cos_antiperiodic : Function.Antiperiodic cos (π : Angle) := by
intro θ
induction θ using Real.Angle.induction_on
exact Real.cos_antiperiodic _
#align real.angle.cos_antiperiodic Real.Angle.cos_antiperiodic
@[simp]
theorem cos_add_pi (θ : Angle) : cos (θ + π) = -cos θ :=
cos_antiperiodic θ
#align real.angle.cos_add_pi Real.Angle.cos_add_pi
@[simp]
theorem cos_sub_pi (θ : Angle) : cos (θ - π) = -cos θ :=
cos_antiperiodic.sub_eq θ
#align real.angle.cos_sub_pi Real.Angle.cos_sub_pi
theorem cos_eq_zero_iff {θ : Angle} : cos θ = 0 ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
rw [← cos_pi_div_two, ← cos_coe, cos_eq_iff_eq_or_eq_neg, ← coe_neg, ← neg_div]
#align real.angle.cos_eq_zero_iff Real.Angle.cos_eq_zero_iff
theorem sin_add (θ₁ θ₂ : Real.Angle) : sin (θ₁ + θ₂) = sin θ₁ * cos θ₂ + cos θ₁ * sin θ₂ := by
induction θ₁ using Real.Angle.induction_on
induction θ₂ using Real.Angle.induction_on
exact Real.sin_add _ _
#align real.angle.sin_add Real.Angle.sin_add
theorem cos_add (θ₁ θ₂ : Real.Angle) : cos (θ₁ + θ₂) = cos θ₁ * cos θ₂ - sin θ₁ * sin θ₂ := by
induction θ₂ using Real.Angle.induction_on
induction θ₁ using Real.Angle.induction_on
exact Real.cos_add _ _
#align real.angle.cos_add Real.Angle.cos_add
@[simp]
theorem cos_sq_add_sin_sq (θ : Real.Angle) : cos θ ^ 2 + sin θ ^ 2 = 1 := by
induction θ using Real.Angle.induction_on
exact Real.cos_sq_add_sin_sq _
#align real.angle.cos_sq_add_sin_sq Real.Angle.cos_sq_add_sin_sq
theorem sin_add_pi_div_two (θ : Angle) : sin (θ + ↑(π / 2)) = cos θ := by
induction θ using Real.Angle.induction_on
exact Real.sin_add_pi_div_two _
#align real.angle.sin_add_pi_div_two Real.Angle.sin_add_pi_div_two
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 454 | 456 | theorem sin_sub_pi_div_two (θ : Angle) : sin (θ - ↑(π / 2)) = -cos θ := by |
induction θ using Real.Angle.induction_on
exact Real.sin_sub_pi_div_two _
|
import Mathlib.Data.Set.Equitable
import Mathlib.Logic.Equiv.Fin
import Mathlib.Order.Partition.Finpartition
#align_import order.partition.equipartition from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205"
open Finset Fintype
namespace Finpartition
variable {α : Type*} [DecidableEq α] {s t : Finset α} (P : Finpartition s)
def IsEquipartition : Prop :=
(P.parts : Set (Finset α)).EquitableOn card
#align finpartition.is_equipartition Finpartition.IsEquipartition
theorem isEquipartition_iff_card_parts_eq_average :
P.IsEquipartition ↔
∀ a : Finset α,
a ∈ P.parts → a.card = s.card / P.parts.card ∨ a.card = s.card / P.parts.card + 1 := by
simp_rw [IsEquipartition, Finset.equitableOn_iff, P.sum_card_parts]
#align finpartition.is_equipartition_iff_card_parts_eq_average Finpartition.isEquipartition_iff_card_parts_eq_average
variable {P}
lemma not_isEquipartition :
¬P.IsEquipartition ↔ ∃ a ∈ P.parts, ∃ b ∈ P.parts, b.card + 1 < a.card :=
Set.not_equitableOn
theorem _root_.Set.Subsingleton.isEquipartition (h : (P.parts : Set (Finset α)).Subsingleton) :
P.IsEquipartition :=
Set.Subsingleton.equitableOn h _
#align finpartition.set.subsingleton.is_equipartition Set.Subsingleton.isEquipartition
theorem IsEquipartition.card_parts_eq_average (hP : P.IsEquipartition) (ht : t ∈ P.parts) :
t.card = s.card / P.parts.card ∨ t.card = s.card / P.parts.card + 1 :=
P.isEquipartition_iff_card_parts_eq_average.1 hP _ ht
#align finpartition.is_equipartition.card_parts_eq_average Finpartition.IsEquipartition.card_parts_eq_average
theorem IsEquipartition.card_part_eq_average_iff (hP : P.IsEquipartition) (ht : t ∈ P.parts) :
t.card = s.card / P.parts.card ↔ t.card ≠ s.card / P.parts.card + 1 := by
have a := hP.card_parts_eq_average ht
have b : ¬(t.card = s.card / P.parts.card ∧ t.card = s.card / P.parts.card + 1) := by
by_contra h; exact absurd (h.1 ▸ h.2) (lt_add_one _).ne
tauto
theorem IsEquipartition.average_le_card_part (hP : P.IsEquipartition) (ht : t ∈ P.parts) :
s.card / P.parts.card ≤ t.card := by
rw [← P.sum_card_parts]
exact Finset.EquitableOn.le hP ht
#align finpartition.is_equipartition.average_le_card_part Finpartition.IsEquipartition.average_le_card_part
theorem IsEquipartition.card_part_le_average_add_one (hP : P.IsEquipartition) (ht : t ∈ P.parts) :
t.card ≤ s.card / P.parts.card + 1 := by
rw [← P.sum_card_parts]
exact Finset.EquitableOn.le_add_one hP ht
#align finpartition.is_equipartition.card_part_le_average_add_one Finpartition.IsEquipartition.card_part_le_average_add_one
theorem IsEquipartition.filter_ne_average_add_one_eq_average (hP : P.IsEquipartition) :
P.parts.filter (fun p ↦ ¬p.card = s.card / P.parts.card + 1) =
P.parts.filter (fun p ↦ p.card = s.card / P.parts.card) := by
ext p
simp only [mem_filter, and_congr_right_iff]
exact fun hp ↦ (hP.card_part_eq_average_iff hp).symm
theorem IsEquipartition.card_large_parts_eq_mod (hP : P.IsEquipartition) :
(P.parts.filter fun p ↦ p.card = s.card / P.parts.card + 1).card = s.card % P.parts.card := by
have z := P.sum_card_parts
rw [← sum_filter_add_sum_filter_not (s := P.parts)
(p := fun x ↦ x.card = s.card / P.parts.card + 1),
hP.filter_ne_average_add_one_eq_average,
sum_const_nat (m := s.card / P.parts.card + 1) (by simp),
sum_const_nat (m := s.card / P.parts.card) (by simp),
← hP.filter_ne_average_add_one_eq_average,
mul_add, add_comm, ← add_assoc, ← add_mul, mul_one, add_comm (Finset.card _),
filter_card_add_filter_neg_card_eq_card, add_comm] at z
rw [← add_left_inj, Nat.mod_add_div, z]
theorem IsEquipartition.card_small_parts_eq_mod (hP : P.IsEquipartition) :
(P.parts.filter fun p ↦ p.card = s.card / P.parts.card).card =
P.parts.card - s.card % P.parts.card := by
conv_rhs =>
arg 1
rw [← filter_card_add_filter_neg_card_eq_card (p := fun p ↦ p.card = s.card / P.parts.card + 1)]
rw [hP.card_large_parts_eq_mod, add_tsub_cancel_left, hP.filter_ne_average_add_one_eq_average]
theorem IsEquipartition.exists_partsEquiv (hP : P.IsEquipartition) :
∃ f : P.parts ≃ Fin P.parts.card,
∀ t, t.1.card = s.card / P.parts.card + 1 ↔ f t < s.card % P.parts.card := by
let el := (P.parts.filter fun p ↦ p.card = s.card / P.parts.card + 1).equivFin
let es := (P.parts.filter fun p ↦ p.card = s.card / P.parts.card).equivFin
simp_rw [mem_filter, hP.card_large_parts_eq_mod] at el
simp_rw [mem_filter, hP.card_small_parts_eq_mod] at es
let sneg : { x // x ∈ P.parts ∧ ¬x.card = s.card / P.parts.card + 1 } ≃
{ x // x ∈ P.parts ∧ x.card = s.card / P.parts.card } := by
apply (Equiv.refl _).subtypeEquiv
simp only [Equiv.refl_apply, and_congr_right_iff]
exact fun _ ha ↦ by rw [hP.card_part_eq_average_iff ha, ne_eq]
replace el : { x : P.parts // x.1.card = s.card / P.parts.card + 1 } ≃
Fin (s.card % P.parts.card) := (Equiv.Set.sep ..).symm.trans el
replace es : { x : P.parts // ¬x.1.card = s.card / P.parts.card + 1 } ≃
Fin (P.parts.card - s.card % P.parts.card) := (Equiv.Set.sep ..).symm.trans (sneg.trans es)
let f := (Equiv.sumCompl _).symm.trans ((el.sumCongr es).trans finSumFinEquiv)
use f.trans (finCongr (Nat.add_sub_of_le P.card_mod_card_parts_le))
intro ⟨p, _⟩
simp_rw [f, Equiv.trans_apply, Equiv.sumCongr_apply, finCongr_apply, Fin.coe_cast]
by_cases hc : p.card = s.card / P.parts.card + 1 <;> simp [hc]
| Mathlib/Order/Partition/Equipartition.lean | 138 | 165 | theorem IsEquipartition.exists_partPreservingEquiv (hP : P.IsEquipartition) : ∃ f : s ≃ Fin s.card,
∀ a b : s, P.part a = P.part b ↔ f a % P.parts.card = f b % P.parts.card := by |
obtain ⟨f, hf⟩ := P.exists_enumeration
obtain ⟨g, hg⟩ := hP.exists_partsEquiv
let z := fun a ↦ P.parts.card * (f a).2 + g (f a).1
have gl := fun a ↦ (g (f a).1).2
have less : ∀ a, z a < s.card := fun a ↦ by
rcases hP.card_parts_eq_average (f a).1.2 with (c | c)
· calc
_ < P.parts.card * ((f a).2 + 1) := add_lt_add_left (gl a) _
_ ≤ P.parts.card * (s.card / P.parts.card) := mul_le_mul_left' (c ▸ (f a).2.2) _
_ ≤ P.parts.card * (s.card / P.parts.card) + s.card % P.parts.card := Nat.le_add_right ..
_ = _ := Nat.div_add_mod ..
· rw [← Nat.div_add_mod s.card P.parts.card]
exact add_lt_add_of_le_of_lt (mul_le_mul_left' (by omega) _) ((hg (f a).1).mp c)
let z' : s → Fin s.card := fun a ↦ ⟨z a, less a⟩
have bij : z'.Bijective := by
refine (bijective_iff_injective_and_card z').mpr ⟨fun a b e ↦ ?_, by simp⟩
simp_rw [z', z, Fin.mk.injEq, mul_comm P.parts.card] at e
haveI : NeZero P.parts.card := ⟨((Nat.zero_le _).trans_lt (gl a)).ne'⟩
change P.parts.card.divModEquiv.symm (_, _) = P.parts.card.divModEquiv.symm (_, _) at e
simp only [Equiv.apply_eq_iff_eq, Prod.mk.injEq] at e
apply_fun f
exact Sigma.ext e.2 <| (Fin.heq_ext_iff (by rw [e.2])).mpr e.1
use Equiv.ofBijective _ bij
intro a b
simp_rw [Equiv.ofBijective_apply, z, hf a b, Nat.mul_add_mod,
Nat.mod_eq_of_lt (gl a), Nat.mod_eq_of_lt (gl b), Fin.val_eq_val, g.apply_eq_iff_eq]
|
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.Asymptotics.Theta
import Mathlib.Analysis.Normed.Order.Basic
#align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
namespace Asymptotics
open Filter Function
open Topology
section NormedAddCommGroup
variable {α β : Type*} [NormedAddCommGroup β]
def IsEquivalent (l : Filter α) (u v : α → β) :=
(u - v) =o[l] v
#align asymptotics.is_equivalent Asymptotics.IsEquivalent
@[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v
variable {u v w : α → β} {l : Filter α}
theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h
#align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO
nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v :=
(IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _)
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO
theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by
convert h.isLittleO.right_isBigO_add
simp
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm
theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v :=
⟨h.isBigO, h.isBigO_symm⟩
theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u :=
⟨h.isBigO_symm, h.isBigO⟩
@[refl]
theorem IsEquivalent.refl : u ~[l] u := by
rw [IsEquivalent, sub_self]
exact isLittleO_zero _ _
#align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl
@[symm]
theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u :=
(h.isLittleO.trans_isBigO h.isBigO_symm).symm
#align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm
@[trans]
theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) :
u ~[l] w :=
(huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO
#align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans
theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) :
w ~[l] v :=
huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _)
#align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left
theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) :
u ~[l] w :=
(huv.symm.congr_left hvw).symm
#align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right
theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by
rw [IsEquivalent, sub_zero]
exact isLittleO_zero_right_iff
#align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero
| Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean | 133 | 136 | theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by |
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩
rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem]
exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Div
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
open Polynomial
open Finset
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section NoZeroDivisors
variable [CommSemiring R] [NoZeroDivisors R] {p q : R[X]}
theorem irreducible_of_monic (hp : p.Monic) (hp1 : p ≠ 1) :
Irreducible p ↔ ∀ f g : R[X], f.Monic → g.Monic → f * g = p → f = 1 ∨ g = 1 := by
refine
⟨fun h f g hf hg hp => (h.2 f g hp.symm).imp hf.eq_one_of_isUnit hg.eq_one_of_isUnit, fun h =>
⟨hp1 ∘ hp.eq_one_of_isUnit, fun f g hfg =>
(h (g * C f.leadingCoeff) (f * C g.leadingCoeff) ?_ ?_ ?_).symm.imp
(isUnit_of_mul_eq_one f _)
(isUnit_of_mul_eq_one g _)⟩⟩
· rwa [Monic, leadingCoeff_mul, leadingCoeff_C, ← leadingCoeff_mul, mul_comm, ← hfg, ← Monic]
· rwa [Monic, leadingCoeff_mul, leadingCoeff_C, ← leadingCoeff_mul, ← hfg, ← Monic]
· rw [mul_mul_mul_comm, ← C_mul, ← leadingCoeff_mul, ← hfg, hp.leadingCoeff, C_1, mul_one,
mul_comm, ← hfg]
#align polynomial.irreducible_of_monic Polynomial.irreducible_of_monic
| Mathlib/Algebra/Polynomial/RingDivision.lean | 259 | 265 | theorem Monic.irreducible_iff_natDegree (hp : p.Monic) :
Irreducible p ↔
p ≠ 1 ∧ ∀ f g : R[X], f.Monic → g.Monic → f * g = p → f.natDegree = 0 ∨ g.natDegree = 0 := by |
by_cases hp1 : p = 1; · simp [hp1]
rw [irreducible_of_monic hp hp1, and_iff_right hp1]
refine forall₄_congr fun a b ha hb => ?_
rw [ha.natDegree_eq_zero_iff_eq_one, hb.natDegree_eq_zero_iff_eq_one]
|
import Mathlib.Analysis.Seminorm
import Mathlib.Topology.Algebra.Equicontinuity
import Mathlib.Topology.MetricSpace.Equicontinuity
import Mathlib.Topology.Algebra.FilterBasis
import Mathlib.Topology.Algebra.Module.LocallyConvex
#align_import analysis.locally_convex.with_seminorms from "leanprover-community/mathlib"@"b31173ee05c911d61ad6a05bd2196835c932e0ec"
open NormedField Set Seminorm TopologicalSpace Filter List
open NNReal Pointwise Topology Uniformity
variable {𝕜 𝕜₂ 𝕝 𝕝₂ E F G ι ι' : Type*}
section FilterBasis
variable [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E]
variable (𝕜 E ι)
abbrev SeminormFamily :=
ι → Seminorm 𝕜 E
#align seminorm_family SeminormFamily
variable {𝕜 E ι}
namespace SeminormFamily
def basisSets (p : SeminormFamily 𝕜 E ι) : Set (Set E) :=
⋃ (s : Finset ι) (r) (_ : 0 < r), singleton (ball (s.sup p) (0 : E) r)
#align seminorm_family.basis_sets SeminormFamily.basisSets
variable (p : SeminormFamily 𝕜 E ι)
theorem basisSets_iff {U : Set E} :
U ∈ p.basisSets ↔ ∃ (i : Finset ι) (r : ℝ), 0 < r ∧ U = ball (i.sup p) 0 r := by
simp only [basisSets, mem_iUnion, exists_prop, mem_singleton_iff]
#align seminorm_family.basis_sets_iff SeminormFamily.basisSets_iff
theorem basisSets_mem (i : Finset ι) {r : ℝ} (hr : 0 < r) : (i.sup p).ball 0 r ∈ p.basisSets :=
(basisSets_iff _).mpr ⟨i, _, hr, rfl⟩
#align seminorm_family.basis_sets_mem SeminormFamily.basisSets_mem
theorem basisSets_singleton_mem (i : ι) {r : ℝ} (hr : 0 < r) : (p i).ball 0 r ∈ p.basisSets :=
(basisSets_iff _).mpr ⟨{i}, _, hr, by rw [Finset.sup_singleton]⟩
#align seminorm_family.basis_sets_singleton_mem SeminormFamily.basisSets_singleton_mem
theorem basisSets_nonempty [Nonempty ι] : p.basisSets.Nonempty := by
let i := Classical.arbitrary ι
refine nonempty_def.mpr ⟨(p i).ball 0 1, ?_⟩
exact p.basisSets_singleton_mem i zero_lt_one
#align seminorm_family.basis_sets_nonempty SeminormFamily.basisSets_nonempty
theorem basisSets_intersect (U V : Set E) (hU : U ∈ p.basisSets) (hV : V ∈ p.basisSets) :
∃ z ∈ p.basisSets, z ⊆ U ∩ V := by
classical
rcases p.basisSets_iff.mp hU with ⟨s, r₁, hr₁, hU⟩
rcases p.basisSets_iff.mp hV with ⟨t, r₂, hr₂, hV⟩
use ((s ∪ t).sup p).ball 0 (min r₁ r₂)
refine ⟨p.basisSets_mem (s ∪ t) (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ?_⟩
rw [hU, hV, ball_finset_sup_eq_iInter _ _ _ (lt_min_iff.mpr ⟨hr₁, hr₂⟩),
ball_finset_sup_eq_iInter _ _ _ hr₁, ball_finset_sup_eq_iInter _ _ _ hr₂]
exact
Set.subset_inter
(Set.iInter₂_mono' fun i hi =>
⟨i, Finset.subset_union_left hi, ball_mono <| min_le_left _ _⟩)
(Set.iInter₂_mono' fun i hi =>
⟨i, Finset.subset_union_right hi, ball_mono <| min_le_right _ _⟩)
#align seminorm_family.basis_sets_intersect SeminormFamily.basisSets_intersect
theorem basisSets_zero (U) (hU : U ∈ p.basisSets) : (0 : E) ∈ U := by
rcases p.basisSets_iff.mp hU with ⟨ι', r, hr, hU⟩
rw [hU, mem_ball_zero, map_zero]
exact hr
#align seminorm_family.basis_sets_zero SeminormFamily.basisSets_zero
theorem basisSets_add (U) (hU : U ∈ p.basisSets) :
∃ V ∈ p.basisSets, V + V ⊆ U := by
rcases p.basisSets_iff.mp hU with ⟨s, r, hr, hU⟩
use (s.sup p).ball 0 (r / 2)
refine ⟨p.basisSets_mem s (div_pos hr zero_lt_two), ?_⟩
refine Set.Subset.trans (ball_add_ball_subset (s.sup p) (r / 2) (r / 2) 0 0) ?_
rw [hU, add_zero, add_halves']
#align seminorm_family.basis_sets_add SeminormFamily.basisSets_add
theorem basisSets_neg (U) (hU' : U ∈ p.basisSets) :
∃ V ∈ p.basisSets, V ⊆ (fun x : E => -x) ⁻¹' U := by
rcases p.basisSets_iff.mp hU' with ⟨s, r, _, hU⟩
rw [hU, neg_preimage, neg_ball (s.sup p), neg_zero]
exact ⟨U, hU', Eq.subset hU⟩
#align seminorm_family.basis_sets_neg SeminormFamily.basisSets_neg
protected def addGroupFilterBasis [Nonempty ι] : AddGroupFilterBasis E :=
addGroupFilterBasisOfComm p.basisSets p.basisSets_nonempty p.basisSets_intersect p.basisSets_zero
p.basisSets_add p.basisSets_neg
#align seminorm_family.add_group_filter_basis SeminormFamily.addGroupFilterBasis
theorem basisSets_smul_right (v : E) (U : Set E) (hU : U ∈ p.basisSets) :
∀ᶠ x : 𝕜 in 𝓝 0, x • v ∈ U := by
rcases p.basisSets_iff.mp hU with ⟨s, r, hr, hU⟩
rw [hU, Filter.eventually_iff]
simp_rw [(s.sup p).mem_ball_zero, map_smul_eq_mul]
by_cases h : 0 < (s.sup p) v
· simp_rw [(lt_div_iff h).symm]
rw [← _root_.ball_zero_eq]
exact Metric.ball_mem_nhds 0 (div_pos hr h)
simp_rw [le_antisymm (not_lt.mp h) (apply_nonneg _ v), mul_zero, hr]
exact IsOpen.mem_nhds isOpen_univ (mem_univ 0)
#align seminorm_family.basis_sets_smul_right SeminormFamily.basisSets_smul_right
variable [Nonempty ι]
| Mathlib/Analysis/LocallyConvex/WithSeminorms.lean | 158 | 164 | theorem basisSets_smul (U) (hU : U ∈ p.basisSets) :
∃ V ∈ 𝓝 (0 : 𝕜), ∃ W ∈ p.addGroupFilterBasis.sets, V • W ⊆ U := by |
rcases p.basisSets_iff.mp hU with ⟨s, r, hr, hU⟩
refine ⟨Metric.ball 0 √r, Metric.ball_mem_nhds 0 (Real.sqrt_pos.mpr hr), ?_⟩
refine ⟨(s.sup p).ball 0 √r, p.basisSets_mem s (Real.sqrt_pos.mpr hr), ?_⟩
refine Set.Subset.trans (ball_smul_ball (s.sup p) √r √r) ?_
rw [hU, Real.mul_self_sqrt (le_of_lt hr)]
|
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]
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
#align fin.Ioi_succ Fin.Ioi_succ
@[simp]
theorem Iio_castSucc (i : Fin n) : Iio (castSucc i) = (Iio i).map Fin.castSuccEmb := by
apply Finset.map_injective Fin.valEmbedding
rw [Finset.map_map, Fin.map_valEmbedding_Iio]
exact (Fin.map_valEmbedding_Iio i).symm
#align fin.Iio_cast_succ Fin.Iio_castSucc
theorem card_filter_univ_succ' (p : Fin (n + 1) → Prop) [DecidablePred p] :
(univ.filter p).card = ite (p 0) 1 0 + (univ.filter (p ∘ Fin.succ)).card := by
rw [Fin.univ_succ, filter_cons, card_disjUnion, filter_map, card_map]
split_ifs <;> simp
#align fin.card_filter_univ_succ' Fin.card_filter_univ_succ'
theorem card_filter_univ_succ (p : Fin (n + 1) → Prop) [DecidablePred p] :
(univ.filter p).card =
if p 0 then (univ.filter (p ∘ Fin.succ)).card + 1 else (univ.filter (p ∘ Fin.succ)).card :=
(card_filter_univ_succ' p).trans (by split_ifs <;> simp [add_comm 1])
#align fin.card_filter_univ_succ Fin.card_filter_univ_succ
| Mathlib/Data/Fintype/Fin.lean | 73 | 78 | theorem card_filter_univ_eq_vector_get_eq_count [DecidableEq α] (a : α) (v : Vector α n) :
(univ.filter fun i => a = v.get i).card = v.toList.count a := by |
induction' v with n x xs hxs
· simp
· simp_rw [card_filter_univ_succ', Vector.get_cons_zero, Vector.toList_cons, Function.comp,
Vector.get_cons_succ, hxs, List.count_cons, add_comm (ite (a = x) 1 0)]
|
import Mathlib.LinearAlgebra.Matrix.Gershgorin
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody
import Mathlib.NumberTheory.NumberField.Units.Basic
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import number_theory.number_field.units from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
open scoped NumberField
noncomputable section
open NumberField NumberField.InfinitePlace NumberField.Units BigOperators
variable (K : Type*) [Field K] [NumberField K]
namespace NumberField.Units.dirichletUnitTheorem
open scoped Classical
open Finset
variable {K}
def w₀ : InfinitePlace K := (inferInstance : Nonempty (InfinitePlace K)).some
variable (K)
def logEmbedding : Additive ((𝓞 K)ˣ) →+ ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
{ toFun := fun x w => mult w.val * Real.log (w.val ↑(Additive.toMul x))
map_zero' := by simp; rfl
map_add' := fun _ _ => by simp [Real.log_mul, mul_add]; rfl }
variable {K}
@[simp]
theorem logEmbedding_component (x : (𝓞 K)ˣ) (w : {w : InfinitePlace K // w ≠ w₀}) :
(logEmbedding K x) w = mult w.val * Real.log (w.val x) := rfl
theorem sum_logEmbedding_component (x : (𝓞 K)ˣ) :
∑ w, logEmbedding K x w = - mult (w₀ : InfinitePlace K) * Real.log (w₀ (x : K)) := by
have h := congr_arg Real.log (prod_eq_abs_norm (x : K))
rw [show |(Algebra.norm ℚ) (x : K)| = 1 from isUnit_iff_norm.mp x.isUnit, Rat.cast_one,
Real.log_one, Real.log_prod] at h
· simp_rw [Real.log_pow] at h
rw [← insert_erase (mem_univ w₀), sum_insert (not_mem_erase w₀ univ), add_comm,
add_eq_zero_iff_eq_neg] at h
convert h using 1
· refine (sum_subtype _ (fun w => ?_) (fun w => (mult w) * (Real.log (w (x : K))))).symm
exact ⟨ne_of_mem_erase, fun h => mem_erase_of_ne_of_mem h (mem_univ w)⟩
· norm_num
· exact fun w _ => pow_ne_zero _ (AbsoluteValue.ne_zero _ (coe_ne_zero x))
theorem mult_log_place_eq_zero {x : (𝓞 K)ˣ} {w : InfinitePlace K} :
mult w * Real.log (w x) = 0 ↔ w x = 1 := by
rw [mul_eq_zero, or_iff_right, Real.log_eq_zero, or_iff_right, or_iff_left]
· linarith [(apply_nonneg _ _ : 0 ≤ w x)]
· simp only [ne_eq, map_eq_zero, coe_ne_zero x, not_false_eq_true]
· refine (ne_of_gt ?_)
rw [mult]; split_ifs <;> norm_num
theorem logEmbedding_eq_zero_iff {x : (𝓞 K)ˣ} :
logEmbedding K x = 0 ↔ x ∈ torsion K := by
rw [mem_torsion]
refine ⟨fun h w => ?_, fun h => ?_⟩
· by_cases hw : w = w₀
· suffices -mult w₀ * Real.log (w₀ (x : K)) = 0 by
rw [neg_mul, neg_eq_zero, ← hw] at this
exact mult_log_place_eq_zero.mp this
rw [← sum_logEmbedding_component, sum_eq_zero]
exact fun w _ => congrFun h w
· exact mult_log_place_eq_zero.mp (congrFun h ⟨w, hw⟩)
· ext w
rw [logEmbedding_component, h w.val, Real.log_one, mul_zero, Pi.zero_apply]
theorem logEmbedding_component_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : {w : InfinitePlace K // w ≠ w₀}) : |logEmbedding K x w| ≤ r := by
lift r to NNReal using hr
simp_rw [Pi.norm_def, NNReal.coe_le_coe, Finset.sup_le_iff, ← NNReal.coe_le_coe] at h
exact h w (mem_univ _)
theorem log_le_of_logEmbedding_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : InfinitePlace K) : |Real.log (w x)| ≤ (Fintype.card (InfinitePlace K)) * r := by
have tool : ∀ x : ℝ, 0 ≤ x → x ≤ mult w * x := fun x hx => by
nth_rw 1 [← one_mul x]
refine mul_le_mul ?_ le_rfl hx ?_
all_goals { rw [mult]; split_ifs <;> norm_num }
by_cases hw : w = w₀
· have hyp := congr_arg (‖·‖) (sum_logEmbedding_component x).symm
replace hyp := (le_of_eq hyp).trans (norm_sum_le _ _)
simp_rw [norm_mul, norm_neg, Real.norm_eq_abs, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· rw [← hw]
exact tool _ (abs_nonneg _)
· refine (sum_le_card_nsmul univ _ _
(fun w _ => logEmbedding_component_le hr h w)).trans ?_
rw [nsmul_eq_mul]
refine mul_le_mul ?_ le_rfl hr (Fintype.card (InfinitePlace K)).cast_nonneg
simp [card_univ]
· have hyp := logEmbedding_component_le hr h ⟨w, hw⟩
rw [logEmbedding_component, abs_mul, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· exact tool _ (abs_nonneg _)
· nth_rw 1 [← one_mul r]
exact mul_le_mul (Nat.one_le_cast.mpr Fintype.card_pos) (le_of_eq rfl) hr (Nat.cast_nonneg _)
variable (K)
noncomputable def _root_.NumberField.Units.unitLattice :
AddSubgroup ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
AddSubgroup.map (logEmbedding K) ⊤
theorem unitLattice_inter_ball_finite (r : ℝ) :
((unitLattice K : Set ({ w : InfinitePlace K // w ≠ w₀} → ℝ)) ∩
Metric.closedBall 0 r).Finite := by
obtain hr | hr := lt_or_le r 0
· convert Set.finite_empty
rw [Metric.closedBall_eq_empty.mpr hr]
exact Set.inter_empty _
· suffices {x : (𝓞 K)ˣ | IsIntegral ℤ (x : K) ∧
∀ (φ : K →+* ℂ), ‖φ x‖ ≤ Real.exp ((Fintype.card (InfinitePlace K)) * r)}.Finite by
refine (Set.Finite.image (logEmbedding K) this).subset ?_
rintro _ ⟨⟨x, ⟨_, rfl⟩⟩, hx⟩
refine ⟨x, ⟨x.val.prop, (le_iff_le _ _).mp (fun w => (Real.log_le_iff_le_exp ?_).mp ?_)⟩, rfl⟩
· exact pos_iff.mpr (coe_ne_zero x)
· rw [mem_closedBall_zero_iff] at hx
exact (le_abs_self _).trans (log_le_of_logEmbedding_le hr hx w)
refine Set.Finite.of_finite_image ?_ (coe_injective K).injOn
refine (Embeddings.finite_of_norm_le K ℂ
(Real.exp ((Fintype.card (InfinitePlace K)) * r))).subset ?_
rintro _ ⟨x, ⟨⟨h_int, h_le⟩, rfl⟩⟩
exact ⟨h_int, h_le⟩
section span_top
open NumberField.mixedEmbedding NNReal
variable (w₁ : InfinitePlace K) {B : ℕ} (hB : minkowskiBound K 1 < (convexBodyLTFactor K) * B)
| Mathlib/NumberTheory/NumberField/Units/DirichletTheorem.lean | 202 | 229 | theorem seq_next {x : 𝓞 K} (hx : x ≠ 0) :
∃ y : 𝓞 K, y ≠ 0 ∧
(∀ w, w ≠ w₁ → w y < w x) ∧
|Algebra.norm ℚ (y : K)| ≤ B := by |
have hx' := RingOfIntegers.coe_ne_zero_iff.mpr hx
let f : InfinitePlace K → ℝ≥0 :=
fun w => ⟨(w x) / 2, div_nonneg (AbsoluteValue.nonneg _ _) (by norm_num)⟩
suffices ∀ w, w ≠ w₁ → f w ≠ 0 by
obtain ⟨g, h_geqf, h_gprod⟩ := adjust_f K B this
obtain ⟨y, h_ynz, h_yle⟩ := exists_ne_zero_mem_ringOfIntegers_lt (f := g)
(by rw [convexBodyLT_volume]; convert hB; exact congr_arg ((↑): NNReal → ENNReal) h_gprod)
refine ⟨y, h_ynz, fun w hw => (h_geqf w hw ▸ h_yle w).trans ?_, ?_⟩
· rw [← Rat.cast_le (K := ℝ), Rat.cast_natCast]
calc
_ = ∏ w : InfinitePlace K, w (algebraMap _ K y) ^ mult w :=
(prod_eq_abs_norm (algebraMap _ K y)).symm
_ ≤ ∏ w : InfinitePlace K, (g w : ℝ) ^ mult w := by
refine prod_le_prod ?_ ?_
· exact fun _ _ => pow_nonneg (by positivity) _
· exact fun w _ => pow_le_pow_left (by positivity) (le_of_lt (h_yle w)) (mult w)
_ ≤ (B : ℝ) := by
simp_rw [← NNReal.coe_pow, ← NNReal.coe_prod]
exact le_of_eq (congr_arg toReal h_gprod)
· refine div_lt_self ?_ (by norm_num)
exact pos_iff.mpr hx'
intro _ _
rw [ne_eq, Nonneg.mk_eq_zero, div_eq_zero_iff, map_eq_zero, not_or]
exact ⟨hx', by norm_num⟩
|
import Mathlib.Data.Nat.Defs
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Tactic.Monotonicity.Attr
#align_import data.nat.log from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6"
namespace Nat
--@[pp_nodot] porting note: unknown attribute
def log (b : ℕ) : ℕ → ℕ
| n => if h : b ≤ n ∧ 1 < b then log b (n / b) + 1 else 0
decreasing_by
-- putting this in the def triggers the `unusedHavesSuffices` linter:
-- https://github.com/leanprover-community/batteries/issues/428
have : n / b < n := div_lt_self ((Nat.zero_lt_one.trans h.2).trans_le h.1) h.2
decreasing_trivial
#align nat.log Nat.log
@[simp]
theorem log_eq_zero_iff {b n : ℕ} : log b n = 0 ↔ n < b ∨ b ≤ 1 := by
rw [log, dite_eq_right_iff]
simp only [Nat.add_eq_zero_iff, Nat.one_ne_zero, and_false, imp_false, not_and_or, not_le, not_lt]
#align nat.log_eq_zero_iff Nat.log_eq_zero_iff
theorem log_of_lt {b n : ℕ} (hb : n < b) : log b n = 0 :=
log_eq_zero_iff.2 (Or.inl hb)
#align nat.log_of_lt Nat.log_of_lt
theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (n) : log b n = 0 :=
log_eq_zero_iff.2 (Or.inr hb)
#align nat.log_of_left_le_one Nat.log_of_left_le_one
@[simp]
theorem log_pos_iff {b n : ℕ} : 0 < log b n ↔ b ≤ n ∧ 1 < b := by
rw [Nat.pos_iff_ne_zero, Ne, log_eq_zero_iff, not_or, not_lt, not_le]
#align nat.log_pos_iff Nat.log_pos_iff
theorem log_pos {b n : ℕ} (hb : 1 < b) (hbn : b ≤ n) : 0 < log b n :=
log_pos_iff.2 ⟨hbn, hb⟩
#align nat.log_pos Nat.log_pos
theorem log_of_one_lt_of_le {b n : ℕ} (h : 1 < b) (hn : b ≤ n) : log b n = log b (n / b) + 1 := by
rw [log]
exact if_pos ⟨hn, h⟩
#align nat.log_of_one_lt_of_le Nat.log_of_one_lt_of_le
@[simp] lemma log_zero_left : ∀ n, log 0 n = 0 := log_of_left_le_one $ Nat.zero_le _
#align nat.log_zero_left Nat.log_zero_left
@[simp]
theorem log_zero_right (b : ℕ) : log b 0 = 0 :=
log_eq_zero_iff.2 (le_total 1 b)
#align nat.log_zero_right Nat.log_zero_right
@[simp]
theorem log_one_left : ∀ n, log 1 n = 0 :=
log_of_left_le_one le_rfl
#align nat.log_one_left Nat.log_one_left
@[simp]
theorem log_one_right (b : ℕ) : log b 1 = 0 :=
log_eq_zero_iff.2 (lt_or_le _ _)
#align nat.log_one_right Nat.log_one_right
theorem pow_le_iff_le_log {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) :
b ^ x ≤ y ↔ x ≤ log b y := by
induction' y using Nat.strong_induction_on with y ih generalizing x
cases x with
| zero => dsimp; omega
| succ x =>
rw [log]; split_ifs with h
· have b_pos : 0 < b := lt_of_succ_lt hb
rw [Nat.add_le_add_iff_right, ← ih (y / b) (div_lt_self
(Nat.pos_iff_ne_zero.2 hy) hb) (Nat.div_pos h.1 b_pos).ne', le_div_iff_mul_le b_pos,
pow_succ', Nat.mul_comm]
· exact iff_of_false (fun hby => h ⟨(le_self_pow x.succ_ne_zero _).trans hby, hb⟩)
(not_succ_le_zero _)
#align nat.pow_le_iff_le_log Nat.pow_le_iff_le_log
theorem lt_pow_iff_log_lt {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) : y < b ^ x ↔ log b y < x :=
lt_iff_lt_of_le_iff_le (pow_le_iff_le_log hb hy)
#align nat.lt_pow_iff_log_lt Nat.lt_pow_iff_log_lt
theorem pow_le_of_le_log {b x y : ℕ} (hy : y ≠ 0) (h : x ≤ log b y) : b ^ x ≤ y := by
refine (le_or_lt b 1).elim (fun hb => ?_) fun hb => (pow_le_iff_le_log hb hy).2 h
rw [log_of_left_le_one hb, Nat.le_zero] at h
rwa [h, Nat.pow_zero, one_le_iff_ne_zero]
#align nat.pow_le_of_le_log Nat.pow_le_of_le_log
theorem le_log_of_pow_le {b x y : ℕ} (hb : 1 < b) (h : b ^ x ≤ y) : x ≤ log b y := by
rcases ne_or_eq y 0 with (hy | rfl)
exacts [(pow_le_iff_le_log hb hy).1 h, (h.not_lt (Nat.pow_pos (Nat.zero_lt_one.trans hb))).elim]
#align nat.le_log_of_pow_le Nat.le_log_of_pow_le
theorem pow_log_le_self (b : ℕ) {x : ℕ} (hx : x ≠ 0) : b ^ log b x ≤ x :=
pow_le_of_le_log hx le_rfl
#align nat.pow_log_le_self Nat.pow_log_le_self
theorem log_lt_of_lt_pow {b x y : ℕ} (hy : y ≠ 0) : y < b ^ x → log b y < x :=
lt_imp_lt_of_le_imp_le (pow_le_of_le_log hy)
#align nat.log_lt_of_lt_pow Nat.log_lt_of_lt_pow
theorem lt_pow_of_log_lt {b x y : ℕ} (hb : 1 < b) : log b y < x → y < b ^ x :=
lt_imp_lt_of_le_imp_le (le_log_of_pow_le hb)
#align nat.lt_pow_of_log_lt Nat.lt_pow_of_log_lt
theorem lt_pow_succ_log_self {b : ℕ} (hb : 1 < b) (x : ℕ) : x < b ^ (log b x).succ :=
lt_pow_of_log_lt hb (lt_succ_self _)
#align nat.lt_pow_succ_log_self Nat.lt_pow_succ_log_self
theorem log_eq_iff {b m n : ℕ} (h : m ≠ 0 ∨ 1 < b ∧ n ≠ 0) :
log b n = m ↔ b ^ m ≤ n ∧ n < b ^ (m + 1) := by
rcases em (1 < b ∧ n ≠ 0) with (⟨hb, hn⟩ | hbn)
· rw [le_antisymm_iff, ← Nat.lt_succ_iff, ← pow_le_iff_le_log, ← lt_pow_iff_log_lt, and_comm] <;>
assumption
have hm : m ≠ 0 := h.resolve_right hbn
rw [not_and_or, not_lt, Ne, not_not] at hbn
rcases hbn with (hb | rfl)
· obtain rfl | rfl := le_one_iff_eq_zero_or_eq_one.1 hb
any_goals
simp only [ne_eq, zero_eq, reduceSucc, lt_self_iff_false, not_lt_zero, false_and, or_false]
at h
simp [h, eq_comm (a := 0), Nat.zero_pow (Nat.pos_iff_ne_zero.2 _)] <;> omega
· simp [@eq_comm _ 0, hm]
#align nat.log_eq_iff Nat.log_eq_iff
theorem log_eq_of_pow_le_of_lt_pow {b m n : ℕ} (h₁ : b ^ m ≤ n) (h₂ : n < b ^ (m + 1)) :
log b n = m := by
rcases eq_or_ne m 0 with (rfl | hm)
· rw [Nat.pow_one] at h₂
exact log_of_lt h₂
· exact (log_eq_iff (Or.inl hm)).2 ⟨h₁, h₂⟩
#align nat.log_eq_of_pow_le_of_lt_pow Nat.log_eq_of_pow_le_of_lt_pow
theorem log_pow {b : ℕ} (hb : 1 < b) (x : ℕ) : log b (b ^ x) = x :=
log_eq_of_pow_le_of_lt_pow le_rfl (Nat.pow_lt_pow_right hb x.lt_succ_self)
#align nat.log_pow Nat.log_pow
theorem log_eq_one_iff' {b n : ℕ} : log b n = 1 ↔ b ≤ n ∧ n < b * b := by
rw [log_eq_iff (Or.inl Nat.one_ne_zero), Nat.pow_add, Nat.pow_one]
#align nat.log_eq_one_iff' Nat.log_eq_one_iff'
theorem log_eq_one_iff {b n : ℕ} : log b n = 1 ↔ n < b * b ∧ 1 < b ∧ b ≤ n :=
log_eq_one_iff'.trans
⟨fun h => ⟨h.2, lt_mul_self_iff.1 (h.1.trans_lt h.2), h.1⟩, fun h => ⟨h.2.2, h.1⟩⟩
#align nat.log_eq_one_iff Nat.log_eq_one_iff
theorem log_mul_base {b n : ℕ} (hb : 1 < b) (hn : n ≠ 0) : log b (n * b) = log b n + 1 := by
apply log_eq_of_pow_le_of_lt_pow <;> rw [pow_succ', Nat.mul_comm b]
exacts [Nat.mul_le_mul_right _ (pow_log_le_self _ hn),
(Nat.mul_lt_mul_right (Nat.zero_lt_one.trans hb)).2 (lt_pow_succ_log_self hb _)]
#align nat.log_mul_base Nat.log_mul_base
theorem pow_log_le_add_one (b : ℕ) : ∀ x, b ^ log b x ≤ x + 1
| 0 => by rw [log_zero_right, Nat.pow_zero]
| x + 1 => (pow_log_le_self b x.succ_ne_zero).trans (x + 1).le_succ
#align nat.pow_log_le_add_one Nat.pow_log_le_add_one
theorem log_monotone {b : ℕ} : Monotone (log b) := by
refine monotone_nat_of_le_succ fun n => ?_
rcases le_or_lt b 1 with hb | hb
· rw [log_of_left_le_one hb]
exact zero_le _
· exact le_log_of_pow_le hb (pow_log_le_add_one _ _)
#align nat.log_monotone Nat.log_monotone
@[mono]
theorem log_mono_right {b n m : ℕ} (h : n ≤ m) : log b n ≤ log b m :=
log_monotone h
#align nat.log_mono_right Nat.log_mono_right
@[mono]
theorem log_anti_left {b c n : ℕ} (hc : 1 < c) (hb : c ≤ b) : log b n ≤ log c n := by
rcases eq_or_ne n 0 with (rfl | hn); · rw [log_zero_right, log_zero_right]
apply le_log_of_pow_le hc
calc
c ^ log b n ≤ b ^ log b n := Nat.pow_le_pow_left hb _
_ ≤ n := pow_log_le_self _ hn
#align nat.log_anti_left Nat.log_anti_left
theorem log_antitone_left {n : ℕ} : AntitoneOn (fun b => log b n) (Set.Ioi 1) := fun _ hc _ _ hb =>
log_anti_left (Set.mem_Iio.1 hc) hb
#align nat.log_antitone_left Nat.log_antitone_left
@[simp]
theorem log_div_base (b n : ℕ) : log b (n / b) = log b n - 1 := by
rcases le_or_lt b 1 with hb | hb
· rw [log_of_left_le_one hb, log_of_left_le_one hb, Nat.zero_sub]
cases' lt_or_le n b with h h
· rw [div_eq_of_lt h, log_of_lt h, log_zero_right]
rw [log_of_one_lt_of_le hb h, Nat.add_sub_cancel_right]
#align nat.log_div_base Nat.log_div_base
@[simp]
theorem log_div_mul_self (b n : ℕ) : log b (n / b * b) = log b n := by
rcases le_or_lt b 1 with hb | hb
· rw [log_of_left_le_one hb, log_of_left_le_one hb]
cases' lt_or_le n b with h h
· rw [div_eq_of_lt h, Nat.zero_mul, log_zero_right, log_of_lt h]
rw [log_mul_base hb (Nat.div_pos h (by omega)).ne', log_div_base,
Nat.sub_add_cancel (succ_le_iff.2 <| log_pos hb h)]
#align nat.log_div_mul_self Nat.log_div_mul_self
theorem add_pred_div_lt {b n : ℕ} (hb : 1 < b) (hn : 2 ≤ n) : (n + b - 1) / b < n := by
rw [div_lt_iff_lt_mul (by omega), ← succ_le_iff, ← pred_eq_sub_one,
succ_pred_eq_of_pos (by omega)]
exact Nat.add_le_mul hn hb
-- Porting note: Was private in mathlib 3
-- #align nat.add_pred_div_lt Nat.add_pred_div_lt
--@[pp_nodot]
def clog (b : ℕ) : ℕ → ℕ
| n => if h : 1 < b ∧ 1 < n then clog b ((n + b - 1) / b) + 1 else 0
decreasing_by
-- putting this in the def triggers the `unusedHavesSuffices` linter:
-- https://github.com/leanprover-community/batteries/issues/428
have : (n + b - 1) / b < n := add_pred_div_lt h.1 h.2
decreasing_trivial
#align nat.clog Nat.clog
theorem clog_of_left_le_one {b : ℕ} (hb : b ≤ 1) (n : ℕ) : clog b n = 0 := by
rw [clog, dif_neg fun h : 1 < b ∧ 1 < n => h.1.not_le hb]
#align nat.clog_of_left_le_one Nat.clog_of_left_le_one
theorem clog_of_right_le_one {n : ℕ} (hn : n ≤ 1) (b : ℕ) : clog b n = 0 := by
rw [clog, dif_neg fun h : 1 < b ∧ 1 < n => h.2.not_le hn]
#align nat.clog_of_right_le_one Nat.clog_of_right_le_one
@[simp] lemma clog_zero_left (n : ℕ) : clog 0 n = 0 := clog_of_left_le_one (Nat.zero_le _) _
#align nat.clog_zero_left Nat.clog_zero_left
@[simp] lemma clog_zero_right (b : ℕ) : clog b 0 = 0 := clog_of_right_le_one (Nat.zero_le _) _
#align nat.clog_zero_right Nat.clog_zero_right
@[simp]
theorem clog_one_left (n : ℕ) : clog 1 n = 0 :=
clog_of_left_le_one le_rfl _
#align nat.clog_one_left Nat.clog_one_left
@[simp]
theorem clog_one_right (b : ℕ) : clog b 1 = 0 :=
clog_of_right_le_one le_rfl _
#align nat.clog_one_right Nat.clog_one_right
| Mathlib/Data/Nat/Log.lean | 275 | 276 | theorem clog_of_two_le {b n : ℕ} (hb : 1 < b) (hn : 2 ≤ n) :
clog b n = clog b ((n + b - 1) / b) + 1 := by | rw [clog, dif_pos (⟨hb, hn⟩ : 1 < b ∧ 1 < n)]
|
import Mathlib.Data.Matrix.Block
import Mathlib.Data.Matrix.Notation
import Mathlib.Data.Matrix.RowCol
import Mathlib.GroupTheory.GroupAction.Ring
import Mathlib.GroupTheory.Perm.Fin
import Mathlib.LinearAlgebra.Alternating.Basic
#align_import linear_algebra.matrix.determinant from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
universe u v w z
open Equiv Equiv.Perm Finset Function
namespace Matrix
open Matrix
variable {m n : Type*} [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m]
variable {R : Type v} [CommRing R]
local notation "ε " σ:arg => ((sign σ : ℤ) : R)
def detRowAlternating : (n → R) [⋀^n]→ₗ[R] R :=
MultilinearMap.alternatization ((MultilinearMap.mkPiAlgebra R n R).compLinearMap LinearMap.proj)
#align matrix.det_row_alternating Matrix.detRowAlternating
abbrev det (M : Matrix n n R) : R :=
detRowAlternating M
#align matrix.det Matrix.det
theorem det_apply (M : Matrix n n R) : M.det = ∑ σ : Perm n, Equiv.Perm.sign σ • ∏ i, M (σ i) i :=
MultilinearMap.alternatization_apply _ M
#align matrix.det_apply Matrix.det_apply
-- This is what the old definition was. We use it to avoid having to change the old proofs below
theorem det_apply' (M : Matrix n n R) : M.det = ∑ σ : Perm n, ε σ * ∏ i, M (σ i) i := by
simp [det_apply, Units.smul_def]
#align matrix.det_apply' Matrix.det_apply'
@[simp]
theorem det_diagonal {d : n → R} : det (diagonal d) = ∏ i, d i := by
rw [det_apply']
refine (Finset.sum_eq_single 1 ?_ ?_).trans ?_
· rintro σ - h2
cases' not_forall.1 (mt Equiv.ext h2) with x h3
convert mul_zero (ε σ)
apply Finset.prod_eq_zero (mem_univ x)
exact if_neg h3
· simp
· simp
#align matrix.det_diagonal Matrix.det_diagonal
-- @[simp] -- Porting note (#10618): simp can prove this
theorem det_zero (_ : Nonempty n) : det (0 : Matrix n n R) = 0 :=
(detRowAlternating : (n → R) [⋀^n]→ₗ[R] R).map_zero
#align matrix.det_zero Matrix.det_zero
@[simp]
theorem det_one : det (1 : Matrix n n R) = 1 := by rw [← diagonal_one]; simp [-diagonal_one]
#align matrix.det_one Matrix.det_one
theorem det_isEmpty [IsEmpty n] {A : Matrix n n R} : det A = 1 := by simp [det_apply]
#align matrix.det_is_empty Matrix.det_isEmpty
@[simp]
theorem coe_det_isEmpty [IsEmpty n] : (det : Matrix n n R → R) = Function.const _ 1 := by
ext
exact det_isEmpty
#align matrix.coe_det_is_empty Matrix.coe_det_isEmpty
theorem det_eq_one_of_card_eq_zero {A : Matrix n n R} (h : Fintype.card n = 0) : det A = 1 :=
haveI : IsEmpty n := Fintype.card_eq_zero_iff.mp h
det_isEmpty
#align matrix.det_eq_one_of_card_eq_zero Matrix.det_eq_one_of_card_eq_zero
@[simp]
theorem det_unique {n : Type*} [Unique n] [DecidableEq n] [Fintype n] (A : Matrix n n R) :
det A = A default default := by simp [det_apply, univ_unique]
#align matrix.det_unique Matrix.det_unique
theorem det_eq_elem_of_subsingleton [Subsingleton n] (A : Matrix n n R) (k : n) :
det A = A k k := by
have := uniqueOfSubsingleton k
convert det_unique A
#align matrix.det_eq_elem_of_subsingleton Matrix.det_eq_elem_of_subsingleton
theorem det_eq_elem_of_card_eq_one {A : Matrix n n R} (h : Fintype.card n = 1) (k : n) :
det A = A k k :=
haveI : Subsingleton n := Fintype.card_le_one_iff_subsingleton.mp h.le
det_eq_elem_of_subsingleton _ _
#align matrix.det_eq_elem_of_card_eq_one Matrix.det_eq_elem_of_card_eq_one
theorem det_mul_aux {M N : Matrix n n R} {p : n → n} (H : ¬Bijective p) :
(∑ σ : Perm n, ε σ * ∏ x, M (σ x) (p x) * N (p x) x) = 0 := by
obtain ⟨i, j, hpij, hij⟩ : ∃ i j, p i = p j ∧ i ≠ j := by
rw [← Finite.injective_iff_bijective, Injective] at H
push_neg at H
exact H
exact
sum_involution (fun σ _ => σ * Equiv.swap i j)
(fun σ _ => by
have : (∏ x, M (σ x) (p x)) = ∏ x, M ((σ * Equiv.swap i j) x) (p x) :=
Fintype.prod_equiv (swap i j) _ _ (by simp [apply_swap_eq_self hpij])
simp [this, sign_swap hij, -sign_swap', prod_mul_distrib])
(fun σ _ _ => (not_congr mul_swap_eq_iff).mpr hij) (fun _ _ => mem_univ _) fun σ _ =>
mul_swap_involutive i j σ
#align matrix.det_mul_aux Matrix.det_mul_aux
@[simp]
theorem det_mul (M N : Matrix n n R) : det (M * N) = det M * det N :=
calc
det (M * N) = ∑ p : n → n, ∑ σ : Perm n, ε σ * ∏ i, M (σ i) (p i) * N (p i) i := by
simp only [det_apply', mul_apply, prod_univ_sum, mul_sum, Fintype.piFinset_univ]
rw [Finset.sum_comm]
_ =
∑ p ∈ (@univ (n → n) _).filter Bijective,
∑ σ : Perm n, ε σ * ∏ i, M (σ i) (p i) * N (p i) i :=
(Eq.symm <|
sum_subset (filter_subset _ _) fun f _ hbij =>
det_mul_aux <| by simpa only [true_and_iff, mem_filter, mem_univ] using hbij)
_ = ∑ τ : Perm n, ∑ σ : Perm n, ε σ * ∏ i, M (σ i) (τ i) * N (τ i) i :=
sum_bij (fun p h ↦ Equiv.ofBijective p (mem_filter.1 h).2) (fun _ _ ↦ mem_univ _)
(fun _ _ _ _ h ↦ by injection h)
(fun b _ ↦ ⟨b, mem_filter.2 ⟨mem_univ _, b.bijective⟩, coe_fn_injective rfl⟩) fun _ _ ↦ rfl
_ = ∑ σ : Perm n, ∑ τ : Perm n, (∏ i, N (σ i) i) * ε τ * ∏ j, M (τ j) (σ j) := by
simp only [mul_comm, mul_left_comm, prod_mul_distrib, mul_assoc]
_ = ∑ σ : Perm n, ∑ τ : Perm n, (∏ i, N (σ i) i) * (ε σ * ε τ) * ∏ i, M (τ i) i :=
(sum_congr rfl fun σ _ =>
Fintype.sum_equiv (Equiv.mulRight σ⁻¹) _ _ fun τ => by
have : (∏ j, M (τ j) (σ j)) = ∏ j, M ((τ * σ⁻¹) j) j := by
rw [← (σ⁻¹ : _ ≃ _).prod_comp]
simp only [Equiv.Perm.coe_mul, apply_inv_self, Function.comp_apply]
have h : ε σ * ε (τ * σ⁻¹) = ε τ :=
calc
ε σ * ε (τ * σ⁻¹) = ε (τ * σ⁻¹ * σ) := by
rw [mul_comm, sign_mul (τ * σ⁻¹)]
simp only [Int.cast_mul, Units.val_mul]
_ = ε τ := by simp only [inv_mul_cancel_right]
simp_rw [Equiv.coe_mulRight, h]
simp only [this])
_ = det M * det N := by
simp only [det_apply', Finset.mul_sum, mul_comm, mul_left_comm, mul_assoc]
#align matrix.det_mul Matrix.det_mul
def detMonoidHom : Matrix n n R →* R where
toFun := det
map_one' := det_one
map_mul' := det_mul
#align matrix.det_monoid_hom Matrix.detMonoidHom
@[simp]
theorem coe_detMonoidHom : (detMonoidHom : Matrix n n R → R) = det :=
rfl
#align matrix.coe_det_monoid_hom Matrix.coe_detMonoidHom
theorem det_mul_comm (M N : Matrix m m R) : det (M * N) = det (N * M) := by
rw [det_mul, det_mul, mul_comm]
#align matrix.det_mul_comm Matrix.det_mul_comm
theorem det_mul_left_comm (M N P : Matrix m m R) : det (M * (N * P)) = det (N * (M * P)) := by
rw [← Matrix.mul_assoc, ← Matrix.mul_assoc, det_mul, det_mul_comm M N, ← det_mul]
#align matrix.det_mul_left_comm Matrix.det_mul_left_comm
theorem det_mul_right_comm (M N P : Matrix m m R) : det (M * N * P) = det (M * P * N) := by
rw [Matrix.mul_assoc, Matrix.mul_assoc, det_mul, det_mul_comm N P, ← det_mul]
#align matrix.det_mul_right_comm Matrix.det_mul_right_comm
-- TODO(mathlib4#6607): fix elaboration so that the ascription isn't needed
theorem det_units_conj (M : (Matrix m m R)ˣ) (N : Matrix m m R) :
det ((M : Matrix _ _ _) * N * (↑M⁻¹ : Matrix _ _ _)) = det N := by
rw [det_mul_right_comm, Units.mul_inv, one_mul]
#align matrix.det_units_conj Matrix.det_units_conj
-- TODO(mathlib4#6607): fix elaboration so that the ascription isn't needed
theorem det_units_conj' (M : (Matrix m m R)ˣ) (N : Matrix m m R) :
det ((↑M⁻¹ : Matrix _ _ _) * N * (↑M : Matrix _ _ _)) = det N :=
det_units_conj M⁻¹ N
#align matrix.det_units_conj' Matrix.det_units_conj'
@[simp]
theorem det_transpose (M : Matrix n n R) : Mᵀ.det = M.det := by
rw [det_apply', det_apply']
refine Fintype.sum_bijective _ inv_involutive.bijective _ _ ?_
intro σ
rw [sign_inv]
congr 1
apply Fintype.prod_equiv σ
intros
simp
#align matrix.det_transpose Matrix.det_transpose
theorem det_permute (σ : Perm n) (M : Matrix n n R) :
(M.submatrix σ id).det = Perm.sign σ * M.det :=
((detRowAlternating : (n → R) [⋀^n]→ₗ[R] R).map_perm M σ).trans (by simp [Units.smul_def])
#align matrix.det_permute Matrix.det_permute
| Mathlib/LinearAlgebra/Matrix/Determinant/Basic.lean | 240 | 242 | theorem det_permute' (σ : Perm n) (M : Matrix n n R) :
(M.submatrix id σ).det = Perm.sign σ * M.det := by |
rw [← det_transpose, transpose_submatrix, det_permute, det_transpose]
|
import Mathlib.Data.Set.Image
import Mathlib.Data.SProd
#align_import data.set.prod from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
open Function
namespace Set
section Prod
variable {α β γ δ : Type*} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {a : α} {b : β}
theorem Subsingleton.prod (hs : s.Subsingleton) (ht : t.Subsingleton) :
(s ×ˢ t).Subsingleton := fun _x hx _y hy ↦
Prod.ext (hs hx.1 hy.1) (ht hx.2 hy.2)
noncomputable instance decidableMemProd [DecidablePred (· ∈ s)] [DecidablePred (· ∈ t)] :
DecidablePred (· ∈ s ×ˢ t) := fun _ => And.decidable
#align set.decidable_mem_prod Set.decidableMemProd
@[gcongr]
theorem prod_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ×ˢ t₁ ⊆ s₂ ×ˢ t₂ :=
fun _ ⟨h₁, h₂⟩ => ⟨hs h₁, ht h₂⟩
#align set.prod_mono Set.prod_mono
@[gcongr]
theorem prod_mono_left (hs : s₁ ⊆ s₂) : s₁ ×ˢ t ⊆ s₂ ×ˢ t :=
prod_mono hs Subset.rfl
#align set.prod_mono_left Set.prod_mono_left
@[gcongr]
theorem prod_mono_right (ht : t₁ ⊆ t₂) : s ×ˢ t₁ ⊆ s ×ˢ t₂ :=
prod_mono Subset.rfl ht
#align set.prod_mono_right Set.prod_mono_right
@[simp]
theorem prod_self_subset_prod_self : s₁ ×ˢ s₁ ⊆ s₂ ×ˢ s₂ ↔ s₁ ⊆ s₂ :=
⟨fun h _ hx => (h (mk_mem_prod hx hx)).1, fun h _ hx => ⟨h hx.1, h hx.2⟩⟩
#align set.prod_self_subset_prod_self Set.prod_self_subset_prod_self
@[simp]
theorem prod_self_ssubset_prod_self : s₁ ×ˢ s₁ ⊂ s₂ ×ˢ s₂ ↔ s₁ ⊂ s₂ :=
and_congr prod_self_subset_prod_self <| not_congr prod_self_subset_prod_self
#align set.prod_self_ssubset_prod_self Set.prod_self_ssubset_prod_self
theorem prod_subset_iff {P : Set (α × β)} : s ×ˢ t ⊆ P ↔ ∀ x ∈ s, ∀ y ∈ t, (x, y) ∈ P :=
⟨fun h _ hx _ hy => h (mk_mem_prod hx hy), fun h ⟨_, _⟩ hp => h _ hp.1 _ hp.2⟩
#align set.prod_subset_iff Set.prod_subset_iff
theorem forall_prod_set {p : α × β → Prop} : (∀ x ∈ s ×ˢ t, p x) ↔ ∀ x ∈ s, ∀ y ∈ t, p (x, y) :=
prod_subset_iff
#align set.forall_prod_set Set.forall_prod_set
theorem exists_prod_set {p : α × β → Prop} : (∃ x ∈ s ×ˢ t, p x) ↔ ∃ x ∈ s, ∃ y ∈ t, p (x, y) := by
simp [and_assoc]
#align set.exists_prod_set Set.exists_prod_set
@[simp]
theorem prod_empty : s ×ˢ (∅ : Set β) = ∅ := by
ext
exact and_false_iff _
#align set.prod_empty Set.prod_empty
@[simp]
theorem empty_prod : (∅ : Set α) ×ˢ t = ∅ := by
ext
exact false_and_iff _
#align set.empty_prod Set.empty_prod
@[simp, mfld_simps]
theorem univ_prod_univ : @univ α ×ˢ @univ β = univ := by
ext
exact true_and_iff _
#align set.univ_prod_univ Set.univ_prod_univ
theorem univ_prod {t : Set β} : (univ : Set α) ×ˢ t = Prod.snd ⁻¹' t := by simp [prod_eq]
#align set.univ_prod Set.univ_prod
theorem prod_univ {s : Set α} : s ×ˢ (univ : Set β) = Prod.fst ⁻¹' s := by simp [prod_eq]
#align set.prod_univ Set.prod_univ
@[simp] lemma prod_eq_univ [Nonempty α] [Nonempty β] : s ×ˢ t = univ ↔ s = univ ∧ t = univ := by
simp [eq_univ_iff_forall, forall_and]
@[simp]
theorem singleton_prod : ({a} : Set α) ×ˢ t = Prod.mk a '' t := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.singleton_prod Set.singleton_prod
@[simp]
theorem prod_singleton : s ×ˢ ({b} : Set β) = (fun a => (a, b)) '' s := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.prod_singleton Set.prod_singleton
theorem singleton_prod_singleton : ({a} : Set α) ×ˢ ({b} : Set β) = {(a, b)} := by simp
#align set.singleton_prod_singleton Set.singleton_prod_singleton
@[simp]
theorem union_prod : (s₁ ∪ s₂) ×ˢ t = s₁ ×ˢ t ∪ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp [or_and_right]
#align set.union_prod Set.union_prod
@[simp]
theorem prod_union : s ×ˢ (t₁ ∪ t₂) = s ×ˢ t₁ ∪ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp [and_or_left]
#align set.prod_union Set.prod_union
theorem inter_prod : (s₁ ∩ s₂) ×ˢ t = s₁ ×ˢ t ∩ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp only [← and_and_right, mem_inter_iff, mem_prod]
#align set.inter_prod Set.inter_prod
theorem prod_inter : s ×ˢ (t₁ ∩ t₂) = s ×ˢ t₁ ∩ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp only [← and_and_left, mem_inter_iff, mem_prod]
#align set.prod_inter Set.prod_inter
@[mfld_simps]
theorem prod_inter_prod : s₁ ×ˢ t₁ ∩ s₂ ×ˢ t₂ = (s₁ ∩ s₂) ×ˢ (t₁ ∩ t₂) := by
ext ⟨x, y⟩
simp [and_assoc, and_left_comm]
#align set.prod_inter_prod Set.prod_inter_prod
lemma compl_prod_eq_union {α β : Type*} (s : Set α) (t : Set β) :
(s ×ˢ t)ᶜ = (sᶜ ×ˢ univ) ∪ (univ ×ˢ tᶜ) := by
ext p
simp only [mem_compl_iff, mem_prod, not_and, mem_union, mem_univ, and_true, true_and]
constructor <;> intro h
· by_cases fst_in_s : p.fst ∈ s
· exact Or.inr (h fst_in_s)
· exact Or.inl fst_in_s
· intro fst_in_s
simpa only [fst_in_s, not_true, false_or] using h
@[simp]
theorem disjoint_prod : Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) ↔ Disjoint s₁ s₂ ∨ Disjoint t₁ t₂ := by
simp_rw [disjoint_left, mem_prod, not_and_or, Prod.forall, and_imp, ← @forall_or_right α, ←
@forall_or_left β, ← @forall_or_right (_ ∈ s₁), ← @forall_or_left (_ ∈ t₁)]
#align set.disjoint_prod Set.disjoint_prod
theorem Disjoint.set_prod_left (hs : Disjoint s₁ s₂) (t₁ t₂ : Set β) :
Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) :=
disjoint_left.2 fun ⟨_a, _b⟩ ⟨ha₁, _⟩ ⟨ha₂, _⟩ => disjoint_left.1 hs ha₁ ha₂
#align set.disjoint.set_prod_left Set.Disjoint.set_prod_left
theorem Disjoint.set_prod_right (ht : Disjoint t₁ t₂) (s₁ s₂ : Set α) :
Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) :=
disjoint_left.2 fun ⟨_a, _b⟩ ⟨_, hb₁⟩ ⟨_, hb₂⟩ => disjoint_left.1 ht hb₁ hb₂
#align set.disjoint.set_prod_right Set.Disjoint.set_prod_right
theorem insert_prod : insert a s ×ˢ t = Prod.mk a '' t ∪ s ×ˢ t := by
ext ⟨x, y⟩
simp (config := { contextual := true }) [image, iff_def, or_imp]
#align set.insert_prod Set.insert_prod
theorem prod_insert : s ×ˢ insert b t = (fun a => (a, b)) '' s ∪ s ×ˢ t := by
ext ⟨x, y⟩
-- porting note (#10745):
-- was `simp (config := { contextual := true }) [image, iff_def, or_imp, Imp.swap]`
simp only [mem_prod, mem_insert_iff, image, mem_union, mem_setOf_eq, Prod.mk.injEq]
refine ⟨fun h => ?_, fun h => ?_⟩
· obtain ⟨hx, rfl|hy⟩ := h
· exact Or.inl ⟨x, hx, rfl, rfl⟩
· exact Or.inr ⟨hx, hy⟩
· obtain ⟨x, hx, rfl, rfl⟩|⟨hx, hy⟩ := h
· exact ⟨hx, Or.inl rfl⟩
· exact ⟨hx, Or.inr hy⟩
#align set.prod_insert Set.prod_insert
theorem prod_preimage_eq {f : γ → α} {g : δ → β} :
(f ⁻¹' s) ×ˢ (g ⁻¹' t) = (fun p : γ × δ => (f p.1, g p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_eq Set.prod_preimage_eq
theorem prod_preimage_left {f : γ → α} :
(f ⁻¹' s) ×ˢ t = (fun p : γ × β => (f p.1, p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_left Set.prod_preimage_left
theorem prod_preimage_right {g : δ → β} :
s ×ˢ (g ⁻¹' t) = (fun p : α × δ => (p.1, g p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_right Set.prod_preimage_right
theorem preimage_prod_map_prod (f : α → β) (g : γ → δ) (s : Set β) (t : Set δ) :
Prod.map f g ⁻¹' s ×ˢ t = (f ⁻¹' s) ×ˢ (g ⁻¹' t) :=
rfl
#align set.preimage_prod_map_prod Set.preimage_prod_map_prod
theorem mk_preimage_prod (f : γ → α) (g : γ → β) :
(fun x => (f x, g x)) ⁻¹' s ×ˢ t = f ⁻¹' s ∩ g ⁻¹' t :=
rfl
#align set.mk_preimage_prod Set.mk_preimage_prod
@[simp]
theorem mk_preimage_prod_left (hb : b ∈ t) : (fun a => (a, b)) ⁻¹' s ×ˢ t = s := by
ext a
simp [hb]
#align set.mk_preimage_prod_left Set.mk_preimage_prod_left
@[simp]
theorem mk_preimage_prod_right (ha : a ∈ s) : Prod.mk a ⁻¹' s ×ˢ t = t := by
ext b
simp [ha]
#align set.mk_preimage_prod_right Set.mk_preimage_prod_right
@[simp]
theorem mk_preimage_prod_left_eq_empty (hb : b ∉ t) : (fun a => (a, b)) ⁻¹' s ×ˢ t = ∅ := by
ext a
simp [hb]
#align set.mk_preimage_prod_left_eq_empty Set.mk_preimage_prod_left_eq_empty
@[simp]
theorem mk_preimage_prod_right_eq_empty (ha : a ∉ s) : Prod.mk a ⁻¹' s ×ˢ t = ∅ := by
ext b
simp [ha]
#align set.mk_preimage_prod_right_eq_empty Set.mk_preimage_prod_right_eq_empty
theorem mk_preimage_prod_left_eq_if [DecidablePred (· ∈ t)] :
(fun a => (a, b)) ⁻¹' s ×ˢ t = if b ∈ t then s else ∅ := by split_ifs with h <;> simp [h]
#align set.mk_preimage_prod_left_eq_if Set.mk_preimage_prod_left_eq_if
theorem mk_preimage_prod_right_eq_if [DecidablePred (· ∈ s)] :
Prod.mk a ⁻¹' s ×ˢ t = if a ∈ s then t else ∅ := by split_ifs with h <;> simp [h]
#align set.mk_preimage_prod_right_eq_if Set.mk_preimage_prod_right_eq_if
theorem mk_preimage_prod_left_fn_eq_if [DecidablePred (· ∈ t)] (f : γ → α) :
(fun a => (f a, b)) ⁻¹' s ×ˢ t = if b ∈ t then f ⁻¹' s else ∅ := by
rw [← mk_preimage_prod_left_eq_if, prod_preimage_left, preimage_preimage]
#align set.mk_preimage_prod_left_fn_eq_if Set.mk_preimage_prod_left_fn_eq_if
theorem mk_preimage_prod_right_fn_eq_if [DecidablePred (· ∈ s)] (g : δ → β) :
(fun b => (a, g b)) ⁻¹' s ×ˢ t = if a ∈ s then g ⁻¹' t else ∅ := by
rw [← mk_preimage_prod_right_eq_if, prod_preimage_right, preimage_preimage]
#align set.mk_preimage_prod_right_fn_eq_if Set.mk_preimage_prod_right_fn_eq_if
@[simp]
theorem preimage_swap_prod (s : Set α) (t : Set β) : Prod.swap ⁻¹' s ×ˢ t = t ×ˢ s := by
ext ⟨x, y⟩
simp [and_comm]
#align set.preimage_swap_prod Set.preimage_swap_prod
@[simp]
theorem image_swap_prod (s : Set α) (t : Set β) : Prod.swap '' s ×ˢ t = t ×ˢ s := by
rw [image_swap_eq_preimage_swap, preimage_swap_prod]
#align set.image_swap_prod Set.image_swap_prod
theorem prod_image_image_eq {m₁ : α → γ} {m₂ : β → δ} :
(m₁ '' s) ×ˢ (m₂ '' t) = (fun p : α × β => (m₁ p.1, m₂ p.2)) '' s ×ˢ t :=
ext <| by
simp [-exists_and_right, exists_and_right.symm, and_left_comm, and_assoc, and_comm]
#align set.prod_image_image_eq Set.prod_image_image_eq
theorem prod_range_range_eq {m₁ : α → γ} {m₂ : β → δ} :
range m₁ ×ˢ range m₂ = range fun p : α × β => (m₁ p.1, m₂ p.2) :=
ext <| by simp [range]
#align set.prod_range_range_eq Set.prod_range_range_eq
@[simp, mfld_simps]
theorem range_prod_map {m₁ : α → γ} {m₂ : β → δ} : range (Prod.map m₁ m₂) = range m₁ ×ˢ range m₂ :=
prod_range_range_eq.symm
#align set.range_prod_map Set.range_prod_map
theorem prod_range_univ_eq {m₁ : α → γ} :
range m₁ ×ˢ (univ : Set β) = range fun p : α × β => (m₁ p.1, p.2) :=
ext <| by simp [range]
#align set.prod_range_univ_eq Set.prod_range_univ_eq
theorem prod_univ_range_eq {m₂ : β → δ} :
(univ : Set α) ×ˢ range m₂ = range fun p : α × β => (p.1, m₂ p.2) :=
ext <| by simp [range]
#align set.prod_univ_range_eq Set.prod_univ_range_eq
theorem range_pair_subset (f : α → β) (g : α → γ) :
(range fun x => (f x, g x)) ⊆ range f ×ˢ range g := by
have : (fun x => (f x, g x)) = Prod.map f g ∘ fun x => (x, x) := funext fun x => rfl
rw [this, ← range_prod_map]
apply range_comp_subset_range
#align set.range_pair_subset Set.range_pair_subset
theorem Nonempty.prod : s.Nonempty → t.Nonempty → (s ×ˢ t).Nonempty := fun ⟨x, hx⟩ ⟨y, hy⟩ =>
⟨(x, y), ⟨hx, hy⟩⟩
#align set.nonempty.prod Set.Nonempty.prod
theorem Nonempty.fst : (s ×ˢ t).Nonempty → s.Nonempty := fun ⟨x, hx⟩ => ⟨x.1, hx.1⟩
#align set.nonempty.fst Set.Nonempty.fst
theorem Nonempty.snd : (s ×ˢ t).Nonempty → t.Nonempty := fun ⟨x, hx⟩ => ⟨x.2, hx.2⟩
#align set.nonempty.snd Set.Nonempty.snd
@[simp]
theorem prod_nonempty_iff : (s ×ˢ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
⟨fun h => ⟨h.fst, h.snd⟩, fun h => h.1.prod h.2⟩
#align set.prod_nonempty_iff Set.prod_nonempty_iff
@[simp]
theorem prod_eq_empty_iff : s ×ˢ t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp only [not_nonempty_iff_eq_empty.symm, prod_nonempty_iff, not_and_or]
#align set.prod_eq_empty_iff Set.prod_eq_empty_iff
| Mathlib/Data/Set/Prod.lean | 330 | 331 | theorem prod_sub_preimage_iff {W : Set γ} {f : α × β → γ} :
s ×ˢ t ⊆ f ⁻¹' W ↔ ∀ a b, a ∈ s → b ∈ t → f (a, b) ∈ W := by | simp [subset_def]
|
import Mathlib.CategoryTheory.Opposites
#align_import category_theory.eq_to_hom from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
universe v₁ v₂ v₃ u₁ u₂ u₃
-- morphism levels before object levels. See note [CategoryTheory universes].
namespace CategoryTheory
open Opposite
variable {C : Type u₁} [Category.{v₁} C]
def eqToHom {X Y : C} (p : X = Y) : X ⟶ Y := by rw [p]; exact 𝟙 _
#align category_theory.eq_to_hom CategoryTheory.eqToHom
@[simp]
theorem eqToHom_refl (X : C) (p : X = X) : eqToHom p = 𝟙 X :=
rfl
#align category_theory.eq_to_hom_refl CategoryTheory.eqToHom_refl
@[reassoc (attr := simp)]
theorem eqToHom_trans {X Y Z : C} (p : X = Y) (q : Y = Z) :
eqToHom p ≫ eqToHom q = eqToHom (p.trans q) := by
cases p
cases q
simp
#align category_theory.eq_to_hom_trans CategoryTheory.eqToHom_trans
theorem comp_eqToHom_iff {X Y Y' : C} (p : Y = Y') (f : X ⟶ Y) (g : X ⟶ Y') :
f ≫ eqToHom p = g ↔ f = g ≫ eqToHom p.symm :=
{ mp := fun h => h ▸ by simp
mpr := fun h => by simp [eq_whisker h (eqToHom p)] }
#align category_theory.comp_eq_to_hom_iff CategoryTheory.comp_eqToHom_iff
theorem eqToHom_comp_iff {X X' Y : C} (p : X = X') (f : X ⟶ Y) (g : X' ⟶ Y) :
eqToHom p ≫ g = f ↔ g = eqToHom p.symm ≫ f :=
{ mp := fun h => h ▸ by simp
mpr := fun h => h ▸ by simp [whisker_eq _ h] }
#align category_theory.eq_to_hom_comp_iff CategoryTheory.eqToHom_comp_iff
variable {β : Sort*}
-- The simpNF linter incorrectly claims that this will never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
@[reassoc (attr := simp, nolint simpNF)]
theorem eqToHom_naturality {f g : β → C} (z : ∀ b, f b ⟶ g b) {j j' : β} (w : j = j') :
z j ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ z j' := by
cases w
simp
-- The simpNF linter incorrectly claims that this will never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
@[reassoc (attr := simp, nolint simpNF)]
theorem eqToHom_iso_hom_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') :
(z j).hom ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').hom := by
cases w
simp
-- The simpNF linter incorrectly claims that this will never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
@[reassoc (attr := simp, nolint simpNF)]
| Mathlib/CategoryTheory/EqToHom.lean | 95 | 98 | theorem eqToHom_iso_inv_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') :
(z j).inv ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').inv := by |
cases w
simp
|
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
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]
#align onote.NF_below.mono ONote.NFBelow.mono
theorem NF.below_of_lt {e n a b} (H : repr e < b) :
NF (ONote.oadd e n a) → NFBelow (ONote.oadd e n a) b
| ⟨⟨b', h⟩⟩ => by (cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact NFBelow.oadd' h₁ h₂ H)
#align onote.NF.below_of_lt ONote.NF.below_of_lt
theorem NF.below_of_lt' : ∀ {o b}, repr o < ω ^ b → NF o → NFBelow o b
| 0, _, _, _ => NFBelow.zero
| ONote.oadd _ _ _, _, H, h =>
h.below_of_lt <|
(opow_lt_opow_iff_right one_lt_omega).1 <| lt_of_le_of_lt (omega_le_oadd _ _ _) H
#align onote.NF.below_of_lt' ONote.NF.below_of_lt'
theorem nfBelow_ofNat : ∀ n, NFBelow (ofNat n) 1
| 0 => NFBelow.zero
| Nat.succ _ => NFBelow.oadd NF.zero NFBelow.zero zero_lt_one
#align onote.NF_below_of_nat ONote.nfBelow_ofNat
instance nf_ofNat (n) : NF (ofNat n) :=
⟨⟨_, nfBelow_ofNat n⟩⟩
#align onote.NF_of_nat ONote.nf_ofNat
instance nf_one : NF 1 := by rw [← ofNat_one]; infer_instance
#align onote.NF_one ONote.nf_one
theorem oadd_lt_oadd_1 {e₁ n₁ o₁ e₂ n₂ o₂} (h₁ : NF (oadd e₁ n₁ o₁)) (h : e₁ < e₂) :
oadd e₁ n₁ o₁ < oadd e₂ n₂ o₂ :=
@lt_of_lt_of_le _ _ (repr (oadd e₁ n₁ o₁)) _ _
(NF.below_of_lt h h₁).repr_lt (omega_le_oadd e₂ n₂ o₂)
#align onote.oadd_lt_oadd_1 ONote.oadd_lt_oadd_1
theorem oadd_lt_oadd_2 {e o₁ o₂ : ONote} {n₁ n₂ : ℕ+} (h₁ : NF (oadd e n₁ o₁)) (h : (n₁ : ℕ) < n₂) :
oadd e n₁ o₁ < oadd e n₂ o₂ := by
simp only [lt_def, repr]
refine lt_of_lt_of_le ((add_lt_add_iff_left _).2 h₁.snd'.repr_lt) (le_trans ?_ (le_add_right _ _))
rwa [← mul_succ,Ordinal.mul_le_mul_iff_left (opow_pos _ omega_pos), succ_le_iff, natCast_lt]
#align onote.oadd_lt_oadd_2 ONote.oadd_lt_oadd_2
theorem oadd_lt_oadd_3 {e n a₁ a₂} (h : a₁ < a₂) : oadd e n a₁ < oadd e n a₂ := by
rw [lt_def]; unfold repr
exact @add_lt_add_left _ _ _ _ (repr a₁) _ h _
#align onote.oadd_lt_oadd_3 ONote.oadd_lt_oadd_3
theorem cmp_compares : ∀ (a b : ONote) [NF a] [NF b], (cmp a b).Compares a b
| 0, 0, _, _ => rfl
| oadd e n a, 0, _, _ => oadd_pos _ _ _
| 0, oadd e n a, _, _ => oadd_pos _ _ _
| o₁@(oadd e₁ n₁ a₁), o₂@(oadd e₂ n₂ a₂), h₁, h₂ => by -- TODO: golf
rw [cmp]
have IHe := @cmp_compares _ _ h₁.fst h₂.fst
simp only [Ordering.Compares, gt_iff_lt] at IHe; revert IHe
cases cmp e₁ e₂
case lt => intro IHe; exact oadd_lt_oadd_1 h₁ IHe
case gt => intro IHe; exact oadd_lt_oadd_1 h₂ IHe
case eq =>
intro IHe; dsimp at IHe; subst IHe
unfold _root_.cmp; cases nh : cmpUsing (· < ·) (n₁ : ℕ) n₂ <;>
rw [cmpUsing, ite_eq_iff, not_lt] at nh
case lt =>
cases' nh with nh nh
· exact oadd_lt_oadd_2 h₁ nh.left
· rw [ite_eq_iff] at nh; cases' nh.right with nh nh <;> cases nh <;> contradiction
case gt =>
cases' nh with nh nh
· cases nh; contradiction
· cases' nh with _ nh
rw [ite_eq_iff] at nh; cases' nh with nh nh
· exact oadd_lt_oadd_2 h₂ nh.left
· cases nh; contradiction
cases' nh with nh nh
· cases nh; contradiction
cases' nh with nhl nhr
rw [ite_eq_iff] at nhr
cases' nhr with nhr nhr
· cases nhr; contradiction
obtain rfl := Subtype.eq (eq_of_incomp ⟨(not_lt_of_ge nhl), nhr.left⟩)
have IHa := @cmp_compares _ _ h₁.snd h₂.snd
revert IHa; cases cmp a₁ a₂ <;> intro IHa <;> dsimp at IHa
case lt => exact oadd_lt_oadd_3 IHa
case gt => exact oadd_lt_oadd_3 IHa
subst IHa; exact rfl
#align onote.cmp_compares ONote.cmp_compares
theorem repr_inj {a b} [NF a] [NF b] : repr a = repr b ↔ a = b :=
⟨fun e => match cmp a b, cmp_compares a b with
| Ordering.lt, (h : repr a < repr b) => (ne_of_lt h e).elim
| Ordering.gt, (h : repr a > repr b)=> (ne_of_gt h e).elim
| Ordering.eq, h => h,
congr_arg _⟩
#align onote.repr_inj ONote.repr_inj
theorem NF.of_dvd_omega_opow {b e n a} (h : NF (ONote.oadd e n a))
(d : ω ^ b ∣ repr (ONote.oadd e n a)) :
b ≤ repr e ∧ ω ^ b ∣ repr a := by
have := mt repr_inj.1 (fun h => by injection h : ONote.oadd e n a ≠ 0)
have L := le_of_not_lt fun l => not_le_of_lt (h.below_of_lt l).repr_lt (le_of_dvd this d)
simp only [repr] at d
exact ⟨L, (dvd_add_iff <| (opow_dvd_opow _ L).mul_right _).1 d⟩
#align onote.NF.of_dvd_omega_opow ONote.NF.of_dvd_omega_opow
theorem NF.of_dvd_omega {e n a} (h : NF (ONote.oadd e n a)) :
ω ∣ repr (ONote.oadd e n a) → repr e ≠ 0 ∧ ω ∣ repr a := by
(rw [← opow_one ω, ← one_le_iff_ne_zero]; exact h.of_dvd_omega_opow)
#align onote.NF.of_dvd_omega ONote.NF.of_dvd_omega
def TopBelow (b : ONote) : ONote → Prop
| 0 => True
| oadd e _ _ => cmp e b = Ordering.lt
#align onote.top_below ONote.TopBelow
instance decidableTopBelow : DecidableRel TopBelow := by
intro b o
cases o <;> delta TopBelow <;> infer_instance
#align onote.decidable_top_below ONote.decidableTopBelow
theorem nfBelow_iff_topBelow {b} [NF b] : ∀ {o}, NFBelow o (repr b) ↔ NF o ∧ TopBelow b o
| 0 => ⟨fun h => ⟨⟨⟨_, h⟩⟩, trivial⟩, fun _ => NFBelow.zero⟩
| oadd _ _ _ =>
⟨fun h => ⟨⟨⟨_, h⟩⟩, (@cmp_compares _ b h.fst _).eq_lt.2 h.lt⟩, fun ⟨h₁, h₂⟩ =>
h₁.below_of_lt <| (@cmp_compares _ b h₁.fst _).eq_lt.1 h₂⟩
#align onote.NF_below_iff_top_below ONote.nfBelow_iff_topBelow
instance decidableNF : DecidablePred NF
| 0 => isTrue NF.zero
| oadd e n a => by
have := decidableNF e
have := decidableNF a
apply decidable_of_iff (NF e ∧ NF a ∧ TopBelow e a)
rw [← and_congr_right fun h => @nfBelow_iff_topBelow _ h _]
exact ⟨fun ⟨h₁, h₂⟩ => NF.oadd h₁ n h₂, fun h => ⟨h.fst, h.snd'⟩⟩
#align onote.decidable_NF ONote.decidableNF
def addAux (e : ONote) (n : ℕ+) (o : ONote) : ONote :=
match o with
| 0 => oadd e n 0
| o'@(oadd e' n' a') =>
match cmp e e' with
| Ordering.lt => o'
| Ordering.eq => oadd e (n + n') a'
| Ordering.gt => oadd e n o'
def add : ONote → ONote → ONote
| 0, o => o
| oadd e n a, o => addAux e n (add a o)
#align onote.add ONote.add
instance : Add ONote :=
⟨add⟩
@[simp]
theorem zero_add (o : ONote) : 0 + o = o :=
rfl
#align onote.zero_add ONote.zero_add
theorem oadd_add (e n a o) : oadd e n a + o = addAux e n (a + o) :=
rfl
#align onote.oadd_add ONote.oadd_add
def sub : ONote → ONote → ONote
| 0, _ => 0
| o, 0 => o
| o₁@(oadd e₁ n₁ a₁), oadd e₂ n₂ a₂ =>
match cmp e₁ e₂ with
| Ordering.lt => 0
| Ordering.gt => o₁
| Ordering.eq =>
match (n₁ : ℕ) - n₂ with
| 0 => if n₁ = n₂ then sub a₁ a₂ else 0
| Nat.succ k => oadd e₁ k.succPNat a₁
#align onote.sub ONote.sub
instance : Sub ONote :=
⟨sub⟩
theorem add_nfBelow {b} : ∀ {o₁ o₂}, NFBelow o₁ b → NFBelow o₂ b → NFBelow (o₁ + o₂) b
| 0, _, _, h₂ => h₂
| oadd e n a, o, h₁, h₂ => by
have h' := add_nfBelow (h₁.snd.mono <| le_of_lt h₁.lt) h₂
simp [oadd_add]; revert h'; cases' a + o with e' n' a' <;> intro h'
· exact NFBelow.oadd h₁.fst NFBelow.zero h₁.lt
have : ((e.cmp e').Compares e e') := @cmp_compares _ _ h₁.fst h'.fst
cases h: cmp e e' <;> dsimp [addAux] <;> simp [h]
· exact h'
· simp [h] at this
subst e'
exact NFBelow.oadd h'.fst h'.snd h'.lt
· simp [h] at this
exact NFBelow.oadd h₁.fst (NF.below_of_lt this ⟨⟨_, h'⟩⟩) h₁.lt
#align onote.add_NF_below ONote.add_nfBelow
instance add_nf (o₁ o₂) : ∀ [NF o₁] [NF o₂], NF (o₁ + o₂)
| ⟨⟨b₁, h₁⟩⟩, ⟨⟨b₂, h₂⟩⟩ =>
⟨(le_total b₁ b₂).elim (fun h => ⟨b₂, add_nfBelow (h₁.mono h) h₂⟩) fun h =>
⟨b₁, add_nfBelow h₁ (h₂.mono h)⟩⟩
#align onote.add_NF ONote.add_nf
@[simp]
theorem repr_add : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ + o₂) = repr o₁ + repr o₂
| 0, o, _, _ => by simp
| oadd e n a, o, h₁, h₂ => by
haveI := h₁.snd; have h' := repr_add a o
conv_lhs at h' => simp [HAdd.hAdd, Add.add]
have nf := ONote.add_nf a o
conv at nf => simp [HAdd.hAdd, Add.add]
conv in _ + o => simp [HAdd.hAdd, Add.add]
cases' h : add a o with e' n' a' <;>
simp only [Add.add, add, addAux, h'.symm, h, add_assoc, repr] at nf h₁ ⊢
have := h₁.fst; haveI := nf.fst; have ee := cmp_compares e e'
cases he: cmp e e' <;> simp only [he, Ordering.compares_gt, Ordering.compares_lt,
Ordering.compares_eq, repr, gt_iff_lt, PNat.add_coe, Nat.cast_add] at ee ⊢
· rw [← add_assoc, @add_absorp _ (repr e') (ω ^ repr e' * (n' : ℕ))]
· have := (h₁.below_of_lt ee).repr_lt
unfold repr at this
cases he': e' <;> simp only [he', zero_def, opow_zero, repr, gt_iff_lt] at this ⊢ <;>
exact lt_of_le_of_lt (le_add_right _ _) this
· simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e') omega_pos).2
(natCast_le.2 n'.pos)
· rw [ee, ← add_assoc, ← mul_add]
#align onote.repr_add ONote.repr_add
theorem sub_nfBelow : ∀ {o₁ o₂ b}, NFBelow o₁ b → NF o₂ → NFBelow (o₁ - o₂) b
| 0, o, b, _, h₂ => by cases o <;> exact NFBelow.zero
| oadd _ _ _, 0, _, h₁, _ => h₁
| oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, b, h₁, h₂ => by
have h' := sub_nfBelow h₁.snd h₂.snd
simp only [HSub.hSub, Sub.sub, sub] at h' ⊢
have := @cmp_compares _ _ h₁.fst h₂.fst
cases h : cmp e₁ e₂ <;> simp [sub]
· apply NFBelow.zero
· simp only [h, Ordering.compares_eq] at this
subst e₂
cases (n₁ : ℕ) - n₂ <;> simp [sub]
· by_cases en : n₁ = n₂ <;> simp [en]
· exact h'.mono (le_of_lt h₁.lt)
· exact NFBelow.zero
· exact NFBelow.oadd h₁.fst h₁.snd h₁.lt
· exact h₁
#align onote.sub_NF_below ONote.sub_nfBelow
instance sub_nf (o₁ o₂) : ∀ [NF o₁] [NF o₂], NF (o₁ - o₂)
| ⟨⟨b₁, h₁⟩⟩, h₂ => ⟨⟨b₁, sub_nfBelow h₁ h₂⟩⟩
#align onote.sub_NF ONote.sub_nf
@[simp]
theorem repr_sub : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ - o₂) = repr o₁ - repr o₂
| 0, o, _, h₂ => by cases o <;> exact (Ordinal.zero_sub _).symm
| oadd e n a, 0, _, _ => (Ordinal.sub_zero _).symm
| oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h₁, h₂ => by
haveI := h₁.snd; haveI := h₂.snd; have h' := repr_sub a₁ a₂
conv_lhs at h' => dsimp [HSub.hSub, Sub.sub, sub]
conv_lhs => dsimp only [HSub.hSub, Sub.sub]; dsimp only [sub]
have ee := @cmp_compares _ _ h₁.fst h₂.fst
cases h : cmp e₁ e₂ <;> simp only [h] at ee
· rw [Ordinal.sub_eq_zero_iff_le.2]
· rfl
exact le_of_lt (oadd_lt_oadd_1 h₁ ee)
· change e₁ = e₂ at ee
subst e₂
dsimp only
cases mn : (n₁ : ℕ) - n₂ <;> dsimp only
· by_cases en : n₁ = n₂
· simpa [en]
· simp only [en, ite_false]
exact
(Ordinal.sub_eq_zero_iff_le.2 <|
le_of_lt <|
oadd_lt_oadd_2 h₁ <|
lt_of_le_of_ne (tsub_eq_zero_iff_le.1 mn) (mt PNat.eq en)).symm
· simp [Nat.succPNat]
rw [(tsub_eq_iff_eq_add_of_le <| le_of_lt <| Nat.lt_of_sub_eq_succ mn).1 mn, add_comm,
Nat.cast_add, mul_add, add_assoc, add_sub_add_cancel]
refine
(Ordinal.sub_eq_of_add_eq <|
add_absorp h₂.snd'.repr_lt <| le_trans ?_ (le_add_right _ _)).symm
simpa using mul_le_mul_left' (natCast_le.2 <| Nat.succ_pos _) _
· exact
(Ordinal.sub_eq_of_add_eq <|
add_absorp (h₂.below_of_lt ee).repr_lt <| omega_le_oadd _ _ _).symm
#align onote.repr_sub ONote.repr_sub
def mul : ONote → ONote → ONote
| 0, _ => 0
| _, 0 => 0
| o₁@(oadd e₁ n₁ a₁), oadd e₂ n₂ a₂ =>
if e₂ = 0 then oadd e₁ (n₁ * n₂) a₁ else oadd (e₁ + e₂) n₂ (mul o₁ a₂)
#align onote.mul ONote.mul
instance : Mul ONote :=
⟨mul⟩
instance : MulZeroClass ONote where
mul := (· * ·)
zero := 0
zero_mul o := by cases o <;> rfl
mul_zero o := by cases o <;> rfl
theorem oadd_mul (e₁ n₁ a₁ e₂ n₂ a₂) :
oadd e₁ n₁ a₁ * oadd e₂ n₂ a₂ =
if e₂ = 0 then oadd e₁ (n₁ * n₂) a₁ else oadd (e₁ + e₂) n₂ (oadd e₁ n₁ a₁ * a₂) :=
rfl
#align onote.oadd_mul ONote.oadd_mul
theorem oadd_mul_nfBelow {e₁ n₁ a₁ b₁} (h₁ : NFBelow (oadd e₁ n₁ a₁) b₁) :
∀ {o₂ b₂}, NFBelow o₂ b₂ → NFBelow (oadd e₁ n₁ a₁ * o₂) (repr e₁ + b₂)
| 0, b₂, _ => NFBelow.zero
| oadd e₂ n₂ a₂, b₂, h₂ => by
have IH := oadd_mul_nfBelow h₁ h₂.snd
by_cases e0 : e₂ = 0 <;> simp [e0, oadd_mul]
· apply NFBelow.oadd h₁.fst h₁.snd
simpa using (add_lt_add_iff_left (repr e₁)).2 (lt_of_le_of_lt (Ordinal.zero_le _) h₂.lt)
· haveI := h₁.fst
haveI := h₂.fst
apply NFBelow.oadd
· infer_instance
· rwa [repr_add]
· rw [repr_add, add_lt_add_iff_left]
exact h₂.lt
#align onote.oadd_mul_NF_below ONote.oadd_mul_nfBelow
instance mul_nf : ∀ (o₁ o₂) [NF o₁] [NF o₂], NF (o₁ * o₂)
| 0, o, _, h₂ => by cases o <;> exact NF.zero
| oadd e n a, o, ⟨⟨b₁, hb₁⟩⟩, ⟨⟨b₂, hb₂⟩⟩ => ⟨⟨_, oadd_mul_nfBelow hb₁ hb₂⟩⟩
#align onote.mul_NF ONote.mul_nf
@[simp]
theorem repr_mul : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ * o₂) = repr o₁ * repr o₂
| 0, o, _, h₂ => by cases o <;> exact (zero_mul _).symm
| oadd e₁ n₁ a₁, 0, _, _ => (mul_zero _).symm
| oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h₁, h₂ => by
have IH : repr (mul _ _) = _ := @repr_mul _ _ h₁ h₂.snd
conv =>
lhs
simp [(· * ·)]
have ao : repr a₁ + ω ^ repr e₁ * (n₁ : ℕ) = ω ^ repr e₁ * (n₁ : ℕ) := by
apply add_absorp h₁.snd'.repr_lt
simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos _ omega_pos).2 (natCast_le.2 n₁.2)
by_cases e0 : e₂ = 0 <;> simp [e0, mul]
· cases' Nat.exists_eq_succ_of_ne_zero n₂.ne_zero with x xe
simp only [xe, h₂.zero_of_zero e0, repr, add_zero]
rw [natCast_succ x, add_mul_succ _ ao, mul_assoc]
· haveI := h₁.fst
haveI := h₂.fst
simp only [Mul.mul, mul, e0, ite_false, repr.eq_2, repr_add, opow_add, IH, repr, mul_add]
rw [← mul_assoc]
congr 2
have := mt repr_inj.1 e0
rw [add_mul_limit ao (opow_isLimit_left omega_isLimit this), mul_assoc,
mul_omega_dvd (natCast_pos.2 n₁.pos) (nat_lt_omega _)]
simpa using opow_dvd_opow ω (one_le_iff_ne_zero.2 this)
#align onote.repr_mul ONote.repr_mul
def split' : ONote → ONote × ℕ
| 0 => (0, 0)
| oadd e n a =>
if e = 0 then (0, n)
else
let (a', m) := split' a
(oadd (e - 1) n a', m)
#align onote.split' ONote.split'
def split : ONote → ONote × ℕ
| 0 => (0, 0)
| oadd e n a =>
if e = 0 then (0, n)
else
let (a', m) := split a
(oadd e n a', m)
#align onote.split ONote.split
def scale (x : ONote) : ONote → ONote
| 0 => 0
| oadd e n a => oadd (x + e) n (scale x a)
#align onote.scale ONote.scale
def mulNat : ONote → ℕ → ONote
| 0, _ => 0
| _, 0 => 0
| oadd e n a, m + 1 => oadd e (n * m.succPNat) a
#align onote.mul_nat ONote.mulNat
def opowAux (e a0 a : ONote) : ℕ → ℕ → ONote
| _, 0 => 0
| 0, m + 1 => oadd e m.succPNat 0
| k + 1, m => scale (e + mulNat a0 k) a + (opowAux e a0 a k m)
#align onote.opow_aux ONote.opowAux
def opowAux2 (o₂ : ONote) (o₁ : ONote × ℕ) : ONote :=
match o₁ with
| (0, 0) => if o₂ = 0 then 1 else 0
| (0, 1) => 1
| (0, m + 1) =>
let (b', k) := split' o₂
oadd b' (m.succPNat ^ k) 0
| (a@(oadd a0 _ _), m) =>
match split o₂ with
| (b, 0) => oadd (a0 * b) 1 0
| (b, k + 1) =>
let eb := a0 * b
scale (eb + mulNat a0 k) a + opowAux eb a0 (mulNat a m) k m
def opow (o₁ o₂ : ONote) : ONote := opowAux2 o₂ (split o₁)
#align onote.opow ONote.opow
instance : Pow ONote ONote :=
⟨opow⟩
theorem opow_def (o₁ o₂ : ONote) : o₁ ^ o₂ = opowAux2 o₂ (split o₁) :=
rfl
#align onote.opow_def ONote.opow_def
theorem split_eq_scale_split' : ∀ {o o' m} [NF o], split' o = (o', m) → split o = (scale 1 o', m)
| 0, o', m, _, p => by injection p; substs o' m; rfl
| oadd e n a, o', m, h, p => by
by_cases e0 : e = 0 <;> simp [e0, split, split'] at p ⊢
· rcases p with ⟨rfl, rfl⟩
exact ⟨rfl, rfl⟩
· revert p
cases' h' : split' a with a' m'
haveI := h.fst
haveI := h.snd
simp only [split_eq_scale_split' h', and_imp]
have : 1 + (e - 1) = e := by
refine repr_inj.1 ?_
simp only [repr_add, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero,
repr_sub]
have := mt repr_inj.1 e0
refine Ordinal.add_sub_cancel_of_le ?_
have := one_le_iff_ne_zero.2 this
exact this
intros
substs o' m
simp [scale, this]
#align onote.split_eq_scale_split' ONote.split_eq_scale_split'
theorem nf_repr_split' : ∀ {o o' m} [NF o], split' o = (o', m) → NF o' ∧ repr o = ω * repr o' + m
| 0, o', m, _, p => by injection p; substs o' m; simp [NF.zero]
| oadd e n a, o', m, h, p => by
by_cases e0 : e = 0 <;> simp [e0, split, split'] at p ⊢
· rcases p with ⟨rfl, rfl⟩
simp [h.zero_of_zero e0, NF.zero]
· revert p
cases' h' : split' a with a' m'
haveI := h.fst
haveI := h.snd
cases' nf_repr_split' h' with IH₁ IH₂
simp only [IH₂, and_imp]
intros
substs o' m
have : (ω : Ordinal.{0}) ^ repr e = ω ^ (1 : Ordinal.{0}) * ω ^ (repr e - 1) := by
have := mt repr_inj.1 e0
rw [← opow_add, Ordinal.add_sub_cancel_of_le (one_le_iff_ne_zero.2 this)]
refine ⟨NF.oadd (by infer_instance) _ ?_, ?_⟩
· simp at this ⊢
refine
IH₁.below_of_lt'
((Ordinal.mul_lt_mul_iff_left omega_pos).1 <| lt_of_le_of_lt (le_add_right _ m') ?_)
rw [← this, ← IH₂]
exact h.snd'.repr_lt
· rw [this]
simp [mul_add, mul_assoc, add_assoc]
#align onote.NF_repr_split' ONote.nf_repr_split'
theorem scale_eq_mul (x) [NF x] : ∀ (o) [NF o], scale x o = oadd x 1 0 * o
| 0, _ => rfl
| oadd e n a, h => by
simp only [HMul.hMul]; simp only [scale]
haveI := h.snd
by_cases e0 : e = 0
· simp_rw [scale_eq_mul]
simp [Mul.mul, mul, scale_eq_mul, e0, h.zero_of_zero,
show x + 0 = x from repr_inj.1 (by simp)]
· simp [e0, Mul.mul, mul, scale_eq_mul, (· * ·)]
#align onote.scale_eq_mul ONote.scale_eq_mul
instance nf_scale (x) [NF x] (o) [NF o] : NF (scale x o) := by
rw [scale_eq_mul]
infer_instance
#align onote.NF_scale ONote.nf_scale
@[simp]
| Mathlib/SetTheory/Ordinal/Notation.lean | 780 | 781 | theorem repr_scale (x) [NF x] (o) [NF o] : repr (scale x o) = ω ^ repr x * repr o := by |
simp only [scale_eq_mul, repr_mul, repr, PNat.one_coe, Nat.cast_one, mul_one, add_zero]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.MvPowerSeries.Basic
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
noncomputable section
open Finset (antidiagonal mem_antidiagonal)
def PowerSeries (R : Type*) :=
MvPowerSeries Unit R
#align power_series PowerSeries
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section
-- Porting note: not available in Lean 4
-- local reducible PowerSeries
scoped notation:9000 R "⟦X⟧" => PowerSeries R
instance [Inhabited R] : Inhabited R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Zero R] : Zero R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddMonoid R] : AddMonoid R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddGroup R] : AddGroup R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddCommMonoid R] : AddCommMonoid R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddCommGroup R] : AddCommGroup R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Semiring R] : Semiring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [CommSemiring R] : CommSemiring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Ring R] : Ring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [CommRing R] : CommRing R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Nontrivial R] : Nontrivial R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R A⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S]
[IsScalarTower R S A] : IsScalarTower R S A⟦X⟧ :=
Pi.isScalarTower
instance {A} [Semiring A] [CommSemiring R] [Algebra R A] : Algebra R A⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
end
section Semiring
variable (R) [Semiring R]
def coeff (n : ℕ) : R⟦X⟧ →ₗ[R] R :=
MvPowerSeries.coeff R (single () n)
#align power_series.coeff PowerSeries.coeff
def monomial (n : ℕ) : R →ₗ[R] R⟦X⟧ :=
MvPowerSeries.monomial R (single () n)
#align power_series.monomial PowerSeries.monomial
variable {R}
theorem coeff_def {s : Unit →₀ ℕ} {n : ℕ} (h : s () = n) : coeff R n = MvPowerSeries.coeff R s := by
erw [coeff, ← h, ← Finsupp.unique_single s]
#align power_series.coeff_def PowerSeries.coeff_def
@[ext]
theorem ext {φ ψ : R⟦X⟧} (h : ∀ n, coeff R n φ = coeff R n ψ) : φ = ψ :=
MvPowerSeries.ext fun n => by
rw [← coeff_def]
· apply h
rfl
#align power_series.ext PowerSeries.ext
theorem ext_iff {φ ψ : R⟦X⟧} : φ = ψ ↔ ∀ n, coeff R n φ = coeff R n ψ :=
⟨fun h n => congr_arg (coeff R n) h, ext⟩
#align power_series.ext_iff PowerSeries.ext_iff
instance [Subsingleton R] : Subsingleton R⟦X⟧ := by
simp only [subsingleton_iff, ext_iff]
exact fun _ _ _ ↦ (subsingleton_iff).mp (by infer_instance) _ _
def mk {R} (f : ℕ → R) : R⟦X⟧ := fun s => f (s ())
#align power_series.mk PowerSeries.mk
@[simp]
theorem coeff_mk (n : ℕ) (f : ℕ → R) : coeff R n (mk f) = f n :=
congr_arg f Finsupp.single_eq_same
#align power_series.coeff_mk PowerSeries.coeff_mk
theorem coeff_monomial (m n : ℕ) (a : R) : coeff R m (monomial R n a) = if m = n then a else 0 :=
calc
coeff R m (monomial R n a) = _ := MvPowerSeries.coeff_monomial _ _ _
_ = if m = n then a else 0 := by simp only [Finsupp.unique_single_eq_iff]
#align power_series.coeff_monomial PowerSeries.coeff_monomial
theorem monomial_eq_mk (n : ℕ) (a : R) : monomial R n a = mk fun m => if m = n then a else 0 :=
ext fun m => by rw [coeff_monomial, coeff_mk]
#align power_series.monomial_eq_mk PowerSeries.monomial_eq_mk
@[simp]
theorem coeff_monomial_same (n : ℕ) (a : R) : coeff R n (monomial R n a) = a :=
MvPowerSeries.coeff_monomial_same _ _
#align power_series.coeff_monomial_same PowerSeries.coeff_monomial_same
@[simp]
theorem coeff_comp_monomial (n : ℕ) : (coeff R n).comp (monomial R n) = LinearMap.id :=
LinearMap.ext <| coeff_monomial_same n
#align power_series.coeff_comp_monomial PowerSeries.coeff_comp_monomial
variable (R)
def constantCoeff : R⟦X⟧ →+* R :=
MvPowerSeries.constantCoeff Unit R
#align power_series.constant_coeff PowerSeries.constantCoeff
def C : R →+* R⟦X⟧ :=
MvPowerSeries.C Unit R
set_option linter.uppercaseLean3 false in
#align power_series.C PowerSeries.C
variable {R}
def X : R⟦X⟧ :=
MvPowerSeries.X ()
set_option linter.uppercaseLean3 false in
#align power_series.X PowerSeries.X
theorem commute_X (φ : R⟦X⟧) : Commute φ X :=
MvPowerSeries.commute_X _ _
set_option linter.uppercaseLean3 false in
#align power_series.commute_X PowerSeries.commute_X
@[simp]
theorem coeff_zero_eq_constantCoeff : ⇑(coeff R 0) = constantCoeff R := by
rw [coeff, Finsupp.single_zero]
rfl
#align power_series.coeff_zero_eq_constant_coeff PowerSeries.coeff_zero_eq_constantCoeff
theorem coeff_zero_eq_constantCoeff_apply (φ : R⟦X⟧) : coeff R 0 φ = constantCoeff R φ := by
rw [coeff_zero_eq_constantCoeff]
#align power_series.coeff_zero_eq_constant_coeff_apply PowerSeries.coeff_zero_eq_constantCoeff_apply
@[simp]
theorem monomial_zero_eq_C : ⇑(monomial R 0) = C R := by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [monomial, Finsupp.single_zero, MvPowerSeries.monomial_zero_eq_C]
set_option linter.uppercaseLean3 false in
#align power_series.monomial_zero_eq_C PowerSeries.monomial_zero_eq_C
theorem monomial_zero_eq_C_apply (a : R) : monomial R 0 a = C R a := by simp
set_option linter.uppercaseLean3 false in
#align power_series.monomial_zero_eq_C_apply PowerSeries.monomial_zero_eq_C_apply
theorem coeff_C (n : ℕ) (a : R) : coeff R n (C R a : R⟦X⟧) = if n = 0 then a else 0 := by
rw [← monomial_zero_eq_C_apply, coeff_monomial]
set_option linter.uppercaseLean3 false in
#align power_series.coeff_C PowerSeries.coeff_C
@[simp]
theorem coeff_zero_C (a : R) : coeff R 0 (C R a) = a := by
rw [coeff_C, if_pos rfl]
set_option linter.uppercaseLean3 false in
#align power_series.coeff_zero_C PowerSeries.coeff_zero_C
theorem coeff_ne_zero_C {a : R} {n : ℕ} (h : n ≠ 0) : coeff R n (C R a) = 0 := by
rw [coeff_C, if_neg h]
@[simp]
theorem coeff_succ_C {a : R} {n : ℕ} : coeff R (n + 1) (C R a) = 0 :=
coeff_ne_zero_C n.succ_ne_zero
theorem C_injective : Function.Injective (C R) := by
intro a b H
have := (ext_iff (φ := C R a) (ψ := C R b)).mp H 0
rwa [coeff_zero_C, coeff_zero_C] at this
protected theorem subsingleton_iff : Subsingleton R⟦X⟧ ↔ Subsingleton R := by
refine ⟨fun h ↦ ?_, fun _ ↦ inferInstance⟩
rw [subsingleton_iff] at h ⊢
exact fun a b ↦ C_injective (h (C R a) (C R b))
theorem X_eq : (X : R⟦X⟧) = monomial R 1 1 :=
rfl
set_option linter.uppercaseLean3 false in
#align power_series.X_eq PowerSeries.X_eq
theorem coeff_X (n : ℕ) : coeff R n (X : R⟦X⟧) = if n = 1 then 1 else 0 := by
rw [X_eq, coeff_monomial]
set_option linter.uppercaseLean3 false in
#align power_series.coeff_X PowerSeries.coeff_X
@[simp]
| Mathlib/RingTheory/PowerSeries/Basic.lean | 288 | 290 | theorem coeff_zero_X : coeff R 0 (X : R⟦X⟧) = 0 := by |
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [coeff, Finsupp.single_zero, X, MvPowerSeries.coeff_zero_X]
|
import Mathlib.Tactic.FinCases
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Algebra.Field.IsField
#align_import ring_theory.ideal.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
universe u v w
variable {α : Type u} {β : Type v}
open Set Function
open Pointwise
abbrev Ideal (R : Type u) [Semiring R] :=
Submodule R R
#align ideal Ideal
@[mk_iff]
class IsPrincipalIdealRing (R : Type u) [Semiring R] : Prop where
principal : ∀ S : Ideal R, S.IsPrincipal
#align is_principal_ideal_ring IsPrincipalIdealRing
attribute [instance] IsPrincipalIdealRing.principal
section Semiring
namespace Ideal
variable [Semiring α] (I : Ideal α) {a b : α}
protected theorem zero_mem : (0 : α) ∈ I :=
Submodule.zero_mem I
#align ideal.zero_mem Ideal.zero_mem
protected theorem add_mem : a ∈ I → b ∈ I → a + b ∈ I :=
Submodule.add_mem I
#align ideal.add_mem Ideal.add_mem
variable (a)
theorem mul_mem_left : b ∈ I → a * b ∈ I :=
Submodule.smul_mem I a
#align ideal.mul_mem_left Ideal.mul_mem_left
variable {a}
@[ext]
theorem ext {I J : Ideal α} (h : ∀ x, x ∈ I ↔ x ∈ J) : I = J :=
Submodule.ext h
#align ideal.ext Ideal.ext
theorem sum_mem (I : Ideal α) {ι : Type*} {t : Finset ι} {f : ι → α} :
(∀ c ∈ t, f c ∈ I) → (∑ i ∈ t, f i) ∈ I :=
Submodule.sum_mem I
#align ideal.sum_mem Ideal.sum_mem
theorem eq_top_of_unit_mem (x y : α) (hx : x ∈ I) (h : y * x = 1) : I = ⊤ :=
eq_top_iff.2 fun z _ =>
calc
z = z * (y * x) := by simp [h]
_ = z * y * x := Eq.symm <| mul_assoc z y x
_ ∈ I := I.mul_mem_left _ hx
#align ideal.eq_top_of_unit_mem Ideal.eq_top_of_unit_mem
theorem eq_top_of_isUnit_mem {x} (hx : x ∈ I) (h : IsUnit x) : I = ⊤ :=
let ⟨y, hy⟩ := h.exists_left_inv
eq_top_of_unit_mem I x y hx hy
#align ideal.eq_top_of_is_unit_mem Ideal.eq_top_of_isUnit_mem
theorem eq_top_iff_one : I = ⊤ ↔ (1 : α) ∈ I :=
⟨by rintro rfl; trivial, fun h => eq_top_of_unit_mem _ _ 1 h (by simp)⟩
#align ideal.eq_top_iff_one Ideal.eq_top_iff_one
theorem ne_top_iff_one : I ≠ ⊤ ↔ (1 : α) ∉ I :=
not_congr I.eq_top_iff_one
#align ideal.ne_top_iff_one Ideal.ne_top_iff_one
@[simp]
theorem unit_mul_mem_iff_mem {x y : α} (hy : IsUnit y) : y * x ∈ I ↔ x ∈ I := by
refine ⟨fun h => ?_, fun h => I.mul_mem_left y h⟩
obtain ⟨y', hy'⟩ := hy.exists_left_inv
have := I.mul_mem_left y' h
rwa [← mul_assoc, hy', one_mul] at this
#align ideal.unit_mul_mem_iff_mem Ideal.unit_mul_mem_iff_mem
def span (s : Set α) : Ideal α :=
Submodule.span α s
#align ideal.span Ideal.span
@[simp]
theorem submodule_span_eq {s : Set α} : Submodule.span α s = Ideal.span s :=
rfl
#align ideal.submodule_span_eq Ideal.submodule_span_eq
@[simp]
theorem span_empty : span (∅ : Set α) = ⊥ :=
Submodule.span_empty
#align ideal.span_empty Ideal.span_empty
@[simp]
theorem span_univ : span (Set.univ : Set α) = ⊤ :=
Submodule.span_univ
#align ideal.span_univ Ideal.span_univ
theorem span_union (s t : Set α) : span (s ∪ t) = span s ⊔ span t :=
Submodule.span_union _ _
#align ideal.span_union Ideal.span_union
theorem span_iUnion {ι} (s : ι → Set α) : span (⋃ i, s i) = ⨆ i, span (s i) :=
Submodule.span_iUnion _
#align ideal.span_Union Ideal.span_iUnion
theorem mem_span {s : Set α} (x) : x ∈ span s ↔ ∀ p : Ideal α, s ⊆ p → x ∈ p :=
mem_iInter₂
#align ideal.mem_span Ideal.mem_span
theorem subset_span {s : Set α} : s ⊆ span s :=
Submodule.subset_span
#align ideal.subset_span Ideal.subset_span
theorem span_le {s : Set α} {I} : span s ≤ I ↔ s ⊆ I :=
Submodule.span_le
#align ideal.span_le Ideal.span_le
theorem span_mono {s t : Set α} : s ⊆ t → span s ≤ span t :=
Submodule.span_mono
#align ideal.span_mono Ideal.span_mono
@[simp]
theorem span_eq : span (I : Set α) = I :=
Submodule.span_eq _
#align ideal.span_eq Ideal.span_eq
@[simp]
theorem span_singleton_one : span ({1} : Set α) = ⊤ :=
(eq_top_iff_one _).2 <| subset_span <| mem_singleton _
#align ideal.span_singleton_one Ideal.span_singleton_one
theorem isCompactElement_top : CompleteLattice.IsCompactElement (⊤ : Ideal α) := by
simpa only [← span_singleton_one] using Submodule.singleton_span_isCompactElement 1
theorem mem_span_insert {s : Set α} {x y} :
x ∈ span (insert y s) ↔ ∃ a, ∃ z ∈ span s, x = a * y + z :=
Submodule.mem_span_insert
#align ideal.mem_span_insert Ideal.mem_span_insert
theorem mem_span_singleton' {x y : α} : x ∈ span ({y} : Set α) ↔ ∃ a, a * y = x :=
Submodule.mem_span_singleton
#align ideal.mem_span_singleton' Ideal.mem_span_singleton'
theorem span_singleton_le_iff_mem {x : α} : span {x} ≤ I ↔ x ∈ I :=
Submodule.span_singleton_le_iff_mem _ _
#align ideal.span_singleton_le_iff_mem Ideal.span_singleton_le_iff_mem
theorem span_singleton_mul_left_unit {a : α} (h2 : IsUnit a) (x : α) :
span ({a * x} : Set α) = span {x} := by
apply le_antisymm <;> rw [span_singleton_le_iff_mem, mem_span_singleton']
exacts [⟨a, rfl⟩, ⟨_, h2.unit.inv_mul_cancel_left x⟩]
#align ideal.span_singleton_mul_left_unit Ideal.span_singleton_mul_left_unit
theorem span_insert (x) (s : Set α) : span (insert x s) = span ({x} : Set α) ⊔ span s :=
Submodule.span_insert x s
#align ideal.span_insert Ideal.span_insert
theorem span_eq_bot {s : Set α} : span s = ⊥ ↔ ∀ x ∈ s, (x : α) = 0 :=
Submodule.span_eq_bot
#align ideal.span_eq_bot Ideal.span_eq_bot
@[simp]
theorem span_singleton_eq_bot {x} : span ({x} : Set α) = ⊥ ↔ x = 0 :=
Submodule.span_singleton_eq_bot
#align ideal.span_singleton_eq_bot Ideal.span_singleton_eq_bot
theorem span_singleton_ne_top {α : Type*} [CommSemiring α] {x : α} (hx : ¬IsUnit x) :
Ideal.span ({x} : Set α) ≠ ⊤ :=
(Ideal.ne_top_iff_one _).mpr fun h1 =>
let ⟨y, hy⟩ := Ideal.mem_span_singleton'.mp h1
hx ⟨⟨x, y, mul_comm y x ▸ hy, hy⟩, rfl⟩
#align ideal.span_singleton_ne_top Ideal.span_singleton_ne_top
@[simp]
theorem span_zero : span (0 : Set α) = ⊥ := by rw [← Set.singleton_zero, span_singleton_eq_bot]
#align ideal.span_zero Ideal.span_zero
@[simp]
theorem span_one : span (1 : Set α) = ⊤ := by rw [← Set.singleton_one, span_singleton_one]
#align ideal.span_one Ideal.span_one
theorem span_eq_top_iff_finite (s : Set α) :
span s = ⊤ ↔ ∃ s' : Finset α, ↑s' ⊆ s ∧ span (s' : Set α) = ⊤ := by
simp_rw [eq_top_iff_one]
exact ⟨Submodule.mem_span_finite_of_mem_span, fun ⟨s', h₁, h₂⟩ => span_mono h₁ h₂⟩
#align ideal.span_eq_top_iff_finite Ideal.span_eq_top_iff_finite
theorem mem_span_singleton_sup {S : Type*} [CommSemiring S] {x y : S} {I : Ideal S} :
x ∈ Ideal.span {y} ⊔ I ↔ ∃ a : S, ∃ b ∈ I, a * y + b = x := by
rw [Submodule.mem_sup]
constructor
· rintro ⟨ya, hya, b, hb, rfl⟩
obtain ⟨a, rfl⟩ := mem_span_singleton'.mp hya
exact ⟨a, b, hb, rfl⟩
· rintro ⟨a, b, hb, rfl⟩
exact ⟨a * y, Ideal.mem_span_singleton'.mpr ⟨a, rfl⟩, b, hb, rfl⟩
#align ideal.mem_span_singleton_sup Ideal.mem_span_singleton_sup
def ofRel (r : α → α → Prop) : Ideal α :=
Submodule.span α { x | ∃ a b, r a b ∧ x + b = a }
#align ideal.of_rel Ideal.ofRel
class IsPrime (I : Ideal α) : Prop where
ne_top' : I ≠ ⊤
mem_or_mem' : ∀ {x y : α}, x * y ∈ I → x ∈ I ∨ y ∈ I
#align ideal.is_prime Ideal.IsPrime
theorem isPrime_iff {I : Ideal α} : IsPrime I ↔ I ≠ ⊤ ∧ ∀ {x y : α}, x * y ∈ I → x ∈ I ∨ y ∈ I :=
⟨fun h => ⟨h.1, h.2⟩, fun h => ⟨h.1, h.2⟩⟩
#align ideal.is_prime_iff Ideal.isPrime_iff
theorem IsPrime.ne_top {I : Ideal α} (hI : I.IsPrime) : I ≠ ⊤ :=
hI.1
#align ideal.is_prime.ne_top Ideal.IsPrime.ne_top
theorem IsPrime.mem_or_mem {I : Ideal α} (hI : I.IsPrime) {x y : α} : x * y ∈ I → x ∈ I ∨ y ∈ I :=
hI.2
#align ideal.is_prime.mem_or_mem Ideal.IsPrime.mem_or_mem
theorem IsPrime.mem_or_mem_of_mul_eq_zero {I : Ideal α} (hI : I.IsPrime) {x y : α} (h : x * y = 0) :
x ∈ I ∨ y ∈ I :=
hI.mem_or_mem (h.symm ▸ I.zero_mem)
#align ideal.is_prime.mem_or_mem_of_mul_eq_zero Ideal.IsPrime.mem_or_mem_of_mul_eq_zero
| Mathlib/RingTheory/Ideal/Basic.lean | 265 | 271 | theorem IsPrime.mem_of_pow_mem {I : Ideal α} (hI : I.IsPrime) {r : α} (n : ℕ) (H : r ^ n ∈ I) :
r ∈ I := by |
induction' n with n ih
· rw [pow_zero] at H
exact (mt (eq_top_iff_one _).2 hI.1).elim H
· rw [pow_succ] at H
exact Or.casesOn (hI.mem_or_mem H) ih id
|
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.MeasureTheory.Measure.Haar.Quotient
import Mathlib.MeasureTheory.Constructions.Polish
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Topology.Algebra.Order.Floor
#align_import measure_theory.integral.periodic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce"
open Set Function MeasureTheory MeasureTheory.Measure TopologicalSpace AddSubgroup intervalIntegral
open scoped MeasureTheory NNReal ENNReal
@[measurability]
protected theorem AddCircle.measurable_mk' {a : ℝ} :
Measurable (β := AddCircle a) ((↑) : ℝ → AddCircle a) :=
Continuous.measurable <| AddCircle.continuous_mk' a
#align add_circle.measurable_mk' AddCircle.measurable_mk'
theorem isAddFundamentalDomain_Ioc {T : ℝ} (hT : 0 < T) (t : ℝ)
(μ : Measure ℝ := by volume_tac) :
IsAddFundamentalDomain (AddSubgroup.zmultiples T) (Ioc t (t + T)) μ := by
refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_
have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) :=
(Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective
refine this.existsUnique_iff.2 ?_
simpa only [add_comm x] using existsUnique_add_zsmul_mem_Ioc hT x t
#align is_add_fundamental_domain_Ioc isAddFundamentalDomain_Ioc
theorem isAddFundamentalDomain_Ioc' {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) :
IsAddFundamentalDomain (AddSubgroup.op <| .zmultiples T) (Ioc t (t + T)) μ := by
refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_
have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) :=
(Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective
refine (AddSubgroup.equivOp _).bijective.comp this |>.existsUnique_iff.2 ?_
simpa using existsUnique_add_zsmul_mem_Ioc hT x t
#align is_add_fundamental_domain_Ioc' isAddFundamentalDomain_Ioc'
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
namespace Function
namespace Periodic
variable {f : ℝ → E} {T : ℝ}
theorem intervalIntegral_add_eq_of_pos (hf : Periodic f T) (hT : 0 < T) (t s : ℝ) :
∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by
simp only [integral_of_le, hT.le, le_add_iff_nonneg_right]
haveI : VAddInvariantMeasure (AddSubgroup.zmultiples T) ℝ volume :=
⟨fun c s _ => measure_preimage_add _ _ _⟩
apply IsAddFundamentalDomain.setIntegral_eq (G := AddSubgroup.zmultiples T)
exacts [isAddFundamentalDomain_Ioc hT t, isAddFundamentalDomain_Ioc hT s, hf.map_vadd_zmultiples]
#align function.periodic.interval_integral_add_eq_of_pos Function.Periodic.intervalIntegral_add_eq_of_pos
theorem intervalIntegral_add_eq (hf : Periodic f T) (t s : ℝ) :
∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by
rcases lt_trichotomy (0 : ℝ) T with (hT | rfl | hT)
· exact hf.intervalIntegral_add_eq_of_pos hT t s
· simp
· rw [← neg_inj, ← integral_symm, ← integral_symm]
simpa only [← sub_eq_add_neg, add_sub_cancel_right] using
hf.neg.intervalIntegral_add_eq_of_pos (neg_pos.2 hT) (t + T) (s + T)
#align function.periodic.interval_integral_add_eq Function.Periodic.intervalIntegral_add_eq
theorem intervalIntegral_add_eq_add (hf : Periodic f T) (t s : ℝ)
(h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) :
∫ x in t..s + T, f x = (∫ x in t..s, f x) + ∫ x in t..t + T, f x := by
rw [hf.intervalIntegral_add_eq t s, integral_add_adjacent_intervals (h_int t s) (h_int s _)]
#align function.periodic.interval_integral_add_eq_add Function.Periodic.intervalIntegral_add_eq_add
| Mathlib/MeasureTheory/Integral/Periodic.lean | 287 | 306 | theorem intervalIntegral_add_zsmul_eq (hf : Periodic f T) (n : ℤ) (t : ℝ)
(h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) :
∫ x in t..t + n • T, f x = n • ∫ x in t..t + T, f x := by |
-- Reduce to the case `b = 0`
suffices (∫ x in (0)..(n • T), f x) = n • ∫ x in (0)..T, f x by
simp only [hf.intervalIntegral_add_eq t 0, (hf.zsmul n).intervalIntegral_add_eq t 0, zero_add,
this]
-- First prove it for natural numbers
have : ∀ m : ℕ, (∫ x in (0)..m • T, f x) = m • ∫ x in (0)..T, f x := fun m ↦ by
induction' m with m ih
· simp
· simp only [succ_nsmul, hf.intervalIntegral_add_eq_add 0 (m • T) h_int, ih, zero_add]
-- Then prove it for all integers
cases' n with n n
· simp [← this n]
· conv_rhs => rw [negSucc_zsmul]
have h₀ : Int.negSucc n • T + (n + 1) • T = 0 := by simp; linarith
rw [integral_symm, ← (hf.nsmul (n + 1)).funext, neg_inj]
simp_rw [integral_comp_add_right, h₀, zero_add, this (n + 1), add_comm T,
hf.intervalIntegral_add_eq ((n + 1) • T) 0, zero_add]
|
import Mathlib.Data.Fin.VecNotation
import Mathlib.Logic.Embedding.Set
#align_import logic.equiv.fin from "leanprover-community/mathlib"@"bd835ef554f37ef9b804f0903089211f89cb370b"
assert_not_exists MonoidWithZero
universe u
variable {m n : ℕ}
def finZeroEquiv : Fin 0 ≃ Empty :=
Equiv.equivEmpty _
#align fin_zero_equiv finZeroEquiv
def finZeroEquiv' : Fin 0 ≃ PEmpty.{u} :=
Equiv.equivPEmpty _
#align fin_zero_equiv' finZeroEquiv'
def finOneEquiv : Fin 1 ≃ Unit :=
Equiv.equivPUnit _
#align fin_one_equiv finOneEquiv
def finTwoEquiv : Fin 2 ≃ Bool where
toFun := ![false, true]
invFun b := b.casesOn 0 1
left_inv := Fin.forall_fin_two.2 <| by simp
right_inv := Bool.forall_bool.2 <| by simp
#align fin_two_equiv finTwoEquiv
@[simps (config := .asFn)]
def piFinTwoEquiv (α : Fin 2 → Type u) : (∀ i, α i) ≃ α 0 × α 1 where
toFun f := (f 0, f 1)
invFun p := Fin.cons p.1 <| Fin.cons p.2 finZeroElim
left_inv _ := funext <| Fin.forall_fin_two.2 ⟨rfl, rfl⟩
right_inv := fun _ => rfl
#align pi_fin_two_equiv piFinTwoEquiv
#align pi_fin_two_equiv_symm_apply piFinTwoEquiv_symm_apply
#align pi_fin_two_equiv_apply piFinTwoEquiv_apply
theorem Fin.preimage_apply_01_prod {α : Fin 2 → Type u} (s : Set (α 0)) (t : Set (α 1)) :
(fun f : ∀ i, α i => (f 0, f 1)) ⁻¹' s ×ˢ t =
Set.pi Set.univ (Fin.cons s <| Fin.cons t finZeroElim) := by
ext f
simp [Fin.forall_fin_two]
#align fin.preimage_apply_01_prod Fin.preimage_apply_01_prod
theorem Fin.preimage_apply_01_prod' {α : Type u} (s t : Set α) :
(fun f : Fin 2 → α => (f 0, f 1)) ⁻¹' s ×ˢ t = Set.pi Set.univ ![s, t] :=
@Fin.preimage_apply_01_prod (fun _ => α) s t
#align fin.preimage_apply_01_prod' Fin.preimage_apply_01_prod'
@[simps! (config := .asFn)]
def prodEquivPiFinTwo (α β : Type u) : α × β ≃ ∀ i : Fin 2, ![α, β] i :=
(piFinTwoEquiv (Fin.cons α (Fin.cons β finZeroElim))).symm
#align prod_equiv_pi_fin_two prodEquivPiFinTwo
#align prod_equiv_pi_fin_two_apply prodEquivPiFinTwo_apply
#align prod_equiv_pi_fin_two_symm_apply prodEquivPiFinTwo_symm_apply
@[simps (config := .asFn)]
def finTwoArrowEquiv (α : Type*) : (Fin 2 → α) ≃ α × α :=
{ piFinTwoEquiv fun _ => α with invFun := fun x => ![x.1, x.2] }
#align fin_two_arrow_equiv finTwoArrowEquiv
#align fin_two_arrow_equiv_symm_apply finTwoArrowEquiv_symm_apply
#align fin_two_arrow_equiv_apply finTwoArrowEquiv_apply
def OrderIso.piFinTwoIso (α : Fin 2 → Type u) [∀ i, Preorder (α i)] : (∀ i, α i) ≃o α 0 × α 1 where
toEquiv := piFinTwoEquiv α
map_rel_iff' := Iff.symm Fin.forall_fin_two
#align order_iso.pi_fin_two_iso OrderIso.piFinTwoIso
def OrderIso.finTwoArrowIso (α : Type*) [Preorder α] : (Fin 2 → α) ≃o α × α :=
{ OrderIso.piFinTwoIso fun _ => α with toEquiv := finTwoArrowEquiv α }
#align order_iso.fin_two_arrow_iso OrderIso.finTwoArrowIso
def finSuccEquiv' (i : Fin (n + 1)) : Fin (n + 1) ≃ Option (Fin n) where
toFun := i.insertNth none some
invFun x := x.casesOn' i (Fin.succAbove i)
left_inv x := Fin.succAboveCases i (by simp) (fun j => by simp) x
right_inv x := by cases x <;> dsimp <;> simp
#align fin_succ_equiv' finSuccEquiv'
@[simp]
theorem finSuccEquiv'_at (i : Fin (n + 1)) : (finSuccEquiv' i) i = none := by
simp [finSuccEquiv']
#align fin_succ_equiv'_at finSuccEquiv'_at
@[simp]
theorem finSuccEquiv'_succAbove (i : Fin (n + 1)) (j : Fin n) :
finSuccEquiv' i (i.succAbove j) = some j :=
@Fin.insertNth_apply_succAbove n (fun _ => Option (Fin n)) i _ _ _
#align fin_succ_equiv'_succ_above finSuccEquiv'_succAbove
theorem finSuccEquiv'_below {i : Fin (n + 1)} {m : Fin n} (h : Fin.castSucc m < i) :
(finSuccEquiv' i) (Fin.castSucc m) = m := by
rw [← Fin.succAbove_of_castSucc_lt _ _ h, finSuccEquiv'_succAbove]
#align fin_succ_equiv'_below finSuccEquiv'_below
theorem finSuccEquiv'_above {i : Fin (n + 1)} {m : Fin n} (h : i ≤ Fin.castSucc m) :
(finSuccEquiv' i) m.succ = some m := by
rw [← Fin.succAbove_of_le_castSucc _ _ h, finSuccEquiv'_succAbove]
#align fin_succ_equiv'_above finSuccEquiv'_above
@[simp]
theorem finSuccEquiv'_symm_none (i : Fin (n + 1)) : (finSuccEquiv' i).symm none = i :=
rfl
#align fin_succ_equiv'_symm_none finSuccEquiv'_symm_none
@[simp]
theorem finSuccEquiv'_symm_some (i : Fin (n + 1)) (j : Fin n) :
(finSuccEquiv' i).symm (some j) = i.succAbove j :=
rfl
#align fin_succ_equiv'_symm_some finSuccEquiv'_symm_some
theorem finSuccEquiv'_symm_some_below {i : Fin (n + 1)} {m : Fin n} (h : Fin.castSucc m < i) :
(finSuccEquiv' i).symm (some m) = Fin.castSucc m :=
Fin.succAbove_of_castSucc_lt i m h
#align fin_succ_equiv'_symm_some_below finSuccEquiv'_symm_some_below
theorem finSuccEquiv'_symm_some_above {i : Fin (n + 1)} {m : Fin n} (h : i ≤ Fin.castSucc m) :
(finSuccEquiv' i).symm (some m) = m.succ :=
Fin.succAbove_of_le_castSucc i m h
#align fin_succ_equiv'_symm_some_above finSuccEquiv'_symm_some_above
theorem finSuccEquiv'_symm_coe_below {i : Fin (n + 1)} {m : Fin n} (h : Fin.castSucc m < i) :
(finSuccEquiv' i).symm m = Fin.castSucc m :=
finSuccEquiv'_symm_some_below h
#align fin_succ_equiv'_symm_coe_below finSuccEquiv'_symm_coe_below
theorem finSuccEquiv'_symm_coe_above {i : Fin (n + 1)} {m : Fin n} (h : i ≤ Fin.castSucc m) :
(finSuccEquiv' i).symm m = m.succ :=
finSuccEquiv'_symm_some_above h
#align fin_succ_equiv'_symm_coe_above finSuccEquiv'_symm_coe_above
def finSuccEquiv (n : ℕ) : Fin (n + 1) ≃ Option (Fin n) :=
finSuccEquiv' 0
#align fin_succ_equiv finSuccEquiv
@[simp]
theorem finSuccEquiv_zero : (finSuccEquiv n) 0 = none :=
rfl
#align fin_succ_equiv_zero finSuccEquiv_zero
@[simp]
theorem finSuccEquiv_succ (m : Fin n) : (finSuccEquiv n) m.succ = some m :=
finSuccEquiv'_above (Fin.zero_le _)
#align fin_succ_equiv_succ finSuccEquiv_succ
@[simp]
theorem finSuccEquiv_symm_none : (finSuccEquiv n).symm none = 0 :=
finSuccEquiv'_symm_none _
#align fin_succ_equiv_symm_none finSuccEquiv_symm_none
@[simp]
theorem finSuccEquiv_symm_some (m : Fin n) : (finSuccEquiv n).symm (some m) = m.succ :=
congr_fun Fin.succAbove_zero m
#align fin_succ_equiv_symm_some finSuccEquiv_symm_some
#align fin_succ_equiv_symm_coe finSuccEquiv_symm_some
theorem finSuccEquiv'_zero : finSuccEquiv' (0 : Fin (n + 1)) = finSuccEquiv n :=
rfl
#align fin_succ_equiv'_zero finSuccEquiv'_zero
| Mathlib/Logic/Equiv/Fin.lean | 195 | 197 | theorem finSuccEquiv'_last_apply_castSucc (i : Fin n) :
finSuccEquiv' (Fin.last n) (Fin.castSucc i) = i := by |
rw [← Fin.succAbove_last, finSuccEquiv'_succAbove]
|
import Mathlib.Algebra.Module.Defs
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.LinearAlgebra.FreeModule.Basic
import Mathlib.LinearAlgebra.TensorProduct.Tower
#align_import algebra.module.projective from "leanprover-community/mathlib"@"405ea5cee7a7070ff8fb8dcb4cfb003532e34bce"
universe u v
open LinearMap hiding id
open Finsupp
class Module.Projective (R : Type*) [Semiring R] (P : Type*) [AddCommMonoid P] [Module R P] :
Prop where
out : ∃ s : P →ₗ[R] P →₀ R, Function.LeftInverse (Finsupp.total P P R id) s
#align module.projective Module.Projective
namespace Module
section Semiring
variable {R : Type*} [Semiring R] {P : Type*} [AddCommMonoid P] [Module R P] {M : Type*}
[AddCommMonoid M] [Module R M] {N : Type*} [AddCommMonoid N] [Module R N]
theorem projective_def :
Projective R P ↔ ∃ s : P →ₗ[R] P →₀ R, Function.LeftInverse (Finsupp.total P P R id) s :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align module.projective_def Module.projective_def
theorem projective_def' :
Projective R P ↔ ∃ s : P →ₗ[R] P →₀ R, Finsupp.total P P R id ∘ₗ s = .id := by
simp_rw [projective_def, DFunLike.ext_iff, Function.LeftInverse, comp_apply, id_apply]
#align module.projective_def' Module.projective_def'
| Mathlib/Algebra/Module/Projective.lean | 98 | 116 | theorem projective_lifting_property [h : Projective R P] (f : M →ₗ[R] N) (g : P →ₗ[R] N)
(hf : Function.Surjective f) : ∃ h : P →ₗ[R] M, f.comp h = g := by |
/-
Here's the first step of the proof.
Recall that `X →₀ R` is Lean's way of talking about the free `R`-module
on a type `X`. The universal property `Finsupp.total` says that to a map
`X → N` from a type to an `R`-module, we get an associated R-module map
`(X →₀ R) →ₗ N`. Apply this to a (noncomputable) map `P → M` coming from the map
`P →ₗ N` and a random splitting of the surjection `M →ₗ N`, and we get
a map `φ : (P →₀ R) →ₗ M`.
-/
let φ : (P →₀ R) →ₗ[R] M := Finsupp.total _ _ _ fun p => Function.surjInv hf (g p)
-- By projectivity we have a map `P →ₗ (P →₀ R)`;
cases' h.out with s hs
-- Compose to get `P →ₗ M`. This works.
use φ.comp s
ext p
conv_rhs => rw [← hs p]
simp [φ, Finsupp.total_apply, Function.surjInv_eq hf, map_finsupp_sum]
|
import Mathlib.Algebra.Homology.ImageToKernel
#align_import algebra.homology.exact from "leanprover-community/mathlib"@"3feb151caefe53df080ca6ca67a0c6685cfd1b82"
universe v v₂ u u₂
open CategoryTheory CategoryTheory.Limits
variable {V : Type u} [Category.{v} V]
variable [HasImages V]
namespace CategoryTheory
-- One nice feature of this definition is that we have
-- `Epi f → Exact g h → Exact (f ≫ g) h` and `Exact f g → Mono h → Exact f (g ≫ h)`,
-- which do not necessarily hold in a non-abelian category with the usual definition of `Exact`.
structure Exact [HasZeroMorphisms V] [HasKernels V] {A B C : V} (f : A ⟶ B) (g : B ⟶ C) : Prop where
w : f ≫ g = 0
epi : Epi (imageToKernel f g w)
#align category_theory.exact CategoryTheory.Exact
-- Porting note: it seems it no longer works in Lean4, so that some `haveI` have been added below
-- This works as an instance even though `Exact` itself is not a class, as long as the goal is
-- literally of the form `Epi (imageToKernel f g h.w)` (where `h : Exact f g`). If the proof of
-- `f ≫ g = 0` looks different, we are out of luck and have to add the instance by hand.
attribute [instance] Exact.epi
attribute [reassoc] Exact.w
section
variable [HasZeroObject V] [Preadditive V] [HasKernels V] [HasCokernels V]
open ZeroObject
theorem Preadditive.exact_iff_homology'_zero {A B C : V} (f : A ⟶ B) (g : B ⟶ C) :
Exact f g ↔ ∃ w : f ≫ g = 0, Nonempty (homology' f g w ≅ 0) :=
⟨fun h => ⟨h.w, ⟨by
haveI := h.epi
exact cokernel.ofEpi _⟩⟩,
fun h => by
obtain ⟨w, ⟨i⟩⟩ := h
exact ⟨w, Preadditive.epi_of_cokernel_zero ((cancel_mono i.hom).mp (by ext))⟩⟩
#align category_theory.preadditive.exact_iff_homology_zero CategoryTheory.Preadditive.exact_iff_homology'_zero
theorem Preadditive.exact_of_iso_of_exact {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁)
(f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : Arrow.mk f₁ ≅ Arrow.mk f₂) (β : Arrow.mk g₁ ≅ Arrow.mk g₂)
(p : α.hom.right = β.hom.left) (h : Exact f₁ g₁) : Exact f₂ g₂ := by
rw [Preadditive.exact_iff_homology'_zero] at h ⊢
rcases h with ⟨w₁, ⟨i⟩⟩
suffices w₂ : f₂ ≫ g₂ = 0 from ⟨w₂, ⟨(homology'.mapIso w₁ w₂ α β p).symm.trans i⟩⟩
rw [← cancel_epi α.hom.left, ← cancel_mono β.inv.right, comp_zero, zero_comp, ← w₁]
have eq₁ := β.inv.w
have eq₂ := α.hom.w
dsimp at eq₁ eq₂
simp only [Category.assoc, Category.assoc, ← eq₁, reassoc_of% eq₂, p,
← reassoc_of% (Arrow.comp_left β.hom β.inv), β.hom_inv_id, Arrow.id_left, Category.id_comp]
#align category_theory.preadditive.exact_of_iso_of_exact CategoryTheory.Preadditive.exact_of_iso_of_exact
theorem Preadditive.exact_of_iso_of_exact' {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁)
(f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : A₁ ≅ A₂) (β : B₁ ≅ B₂) (γ : C₁ ≅ C₂)
(hsq₁ : α.hom ≫ f₂ = f₁ ≫ β.hom) (hsq₂ : β.hom ≫ g₂ = g₁ ≫ γ.hom) (h : Exact f₁ g₁) :
Exact f₂ g₂ :=
Preadditive.exact_of_iso_of_exact f₁ g₁ f₂ g₂ (Arrow.isoMk α β hsq₁) (Arrow.isoMk β γ hsq₂) rfl h
#align category_theory.preadditive.exact_of_iso_of_exact' CategoryTheory.Preadditive.exact_of_iso_of_exact'
theorem Preadditive.exact_iff_exact_of_iso {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁)
(f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : Arrow.mk f₁ ≅ Arrow.mk f₂) (β : Arrow.mk g₁ ≅ Arrow.mk g₂)
(p : α.hom.right = β.hom.left) : Exact f₁ g₁ ↔ Exact f₂ g₂ :=
⟨Preadditive.exact_of_iso_of_exact _ _ _ _ _ _ p,
Preadditive.exact_of_iso_of_exact _ _ _ _ α.symm β.symm
(by
rw [← cancel_mono α.hom.right]
simp only [Iso.symm_hom, ← Arrow.comp_right, α.inv_hom_id]
simp only [p, ← Arrow.comp_left, Arrow.id_right, Arrow.id_left, Iso.inv_hom_id]
rfl)⟩
#align category_theory.preadditive.exact_iff_exact_of_iso CategoryTheory.Preadditive.exact_iff_exact_of_iso
end
section
variable [HasZeroMorphisms V] [HasKernels V]
theorem comp_eq_zero_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
(p : imageSubobject f = kernelSubobject g) : f ≫ g = 0 := by
suffices Subobject.arrow (imageSubobject f) ≫ g = 0 by
rw [← imageSubobject_arrow_comp f, Category.assoc, this, comp_zero]
rw [p, kernelSubobject_arrow_comp]
#align category_theory.comp_eq_zero_of_image_eq_kernel CategoryTheory.comp_eq_zero_of_image_eq_kernel
theorem imageToKernel_isIso_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
(p : imageSubobject f = kernelSubobject g) :
IsIso (imageToKernel f g (comp_eq_zero_of_image_eq_kernel f g p)) := by
refine ⟨⟨Subobject.ofLE _ _ p.ge, ?_⟩⟩
dsimp [imageToKernel]
simp only [Subobject.ofLE_comp_ofLE, Subobject.ofLE_refl, and_self]
#align category_theory.image_to_kernel_is_iso_of_image_eq_kernel CategoryTheory.imageToKernel_isIso_of_image_eq_kernel
-- We'll prove the converse later, when `V` is abelian.
theorem exact_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
(p : imageSubobject f = kernelSubobject g) : Exact f g :=
{ w := comp_eq_zero_of_image_eq_kernel f g p
epi := by
haveI := imageToKernel_isIso_of_image_eq_kernel f g p
infer_instance }
#align category_theory.exact_of_image_eq_kernel CategoryTheory.exact_of_image_eq_kernel
end
variable {A B C D : V} {f : A ⟶ B} {g : B ⟶ C} {h : C ⟶ D}
attribute [local instance] epi_comp
section
variable [HasZeroMorphisms V] [HasEqualizers V]
theorem exact_comp_hom_inv_comp (i : B ≅ D) (h : Exact f g) : Exact (f ≫ i.hom) (i.inv ≫ g) := by
refine ⟨by simp [h.w], ?_⟩
rw [imageToKernel_comp_hom_inv_comp]
haveI := h.epi
infer_instance
#align category_theory.exact_comp_hom_inv_comp CategoryTheory.exact_comp_hom_inv_comp
theorem exact_comp_inv_hom_comp (i : D ≅ B) (h : Exact f g) : Exact (f ≫ i.inv) (i.hom ≫ g) :=
exact_comp_hom_inv_comp i.symm h
#align category_theory.exact_comp_inv_hom_comp CategoryTheory.exact_comp_inv_hom_comp
theorem exact_comp_hom_inv_comp_iff (i : B ≅ D) : Exact (f ≫ i.hom) (i.inv ≫ g) ↔ Exact f g :=
⟨fun h => by simpa using exact_comp_inv_hom_comp i h, exact_comp_hom_inv_comp i⟩
#align category_theory.exact_comp_hom_inv_comp_iff CategoryTheory.exact_comp_hom_inv_comp_iff
theorem exact_epi_comp (hgh : Exact g h) [Epi f] : Exact (f ≫ g) h := by
refine ⟨by simp [hgh.w], ?_⟩
rw [imageToKernel_comp_left]
· haveI := hgh.epi
infer_instance
#align category_theory.exact_epi_comp CategoryTheory.exact_epi_comp
@[simp]
theorem exact_iso_comp [IsIso f] : Exact (f ≫ g) h ↔ Exact g h :=
⟨fun w => by
rw [← IsIso.inv_hom_id_assoc f g]
exact exact_epi_comp w, fun w => exact_epi_comp w⟩
#align category_theory.exact_iso_comp CategoryTheory.exact_iso_comp
theorem exact_comp_mono (hfg : Exact f g) [Mono h] : Exact f (g ≫ h) := by
refine ⟨by simp [hfg.w_assoc], ?_⟩
rw [imageToKernel_comp_right f g h hfg.w]
haveI := hfg.epi
infer_instance
#align category_theory.exact_comp_mono CategoryTheory.exact_comp_mono
| Mathlib/Algebra/Homology/Exact.lean | 211 | 216 | theorem exact_comp_mono_iff [Mono h] : Exact f (g ≫ h) ↔ Exact f g := by |
refine
⟨fun hfg => ⟨zero_of_comp_mono h (by rw [Category.assoc, hfg.1]), ?_⟩, fun h =>
exact_comp_mono h⟩
rw [← (Iso.eq_comp_inv _).1 (imageToKernel_comp_mono _ _ h hfg.1)]
haveI := hfg.2; infer_instance
|
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
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 898 | 898 | theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by | simp [lt_div h]
|
import Mathlib.Data.Real.Basic
#align_import data.real.sign from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
namespace Real
noncomputable def sign (r : ℝ) : ℝ :=
if r < 0 then -1 else if 0 < r then 1 else 0
#align real.sign Real.sign
theorem sign_of_neg {r : ℝ} (hr : r < 0) : sign r = -1 := by rw [sign, if_pos hr]
#align real.sign_of_neg Real.sign_of_neg
theorem sign_of_pos {r : ℝ} (hr : 0 < r) : sign r = 1 := by rw [sign, if_pos hr, if_neg hr.not_lt]
#align real.sign_of_pos Real.sign_of_pos
@[simp]
theorem sign_zero : sign 0 = 0 := by rw [sign, if_neg (lt_irrefl _), if_neg (lt_irrefl _)]
#align real.sign_zero Real.sign_zero
@[simp]
theorem sign_one : sign 1 = 1 :=
sign_of_pos <| by norm_num
#align real.sign_one Real.sign_one
theorem sign_apply_eq (r : ℝ) : sign r = -1 ∨ sign r = 0 ∨ sign r = 1 := by
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ)
· exact Or.inl <| sign_of_neg hn
· exact Or.inr <| Or.inl <| sign_zero
· exact Or.inr <| Or.inr <| sign_of_pos hp
#align real.sign_apply_eq Real.sign_apply_eq
theorem sign_apply_eq_of_ne_zero (r : ℝ) (h : r ≠ 0) : sign r = -1 ∨ sign r = 1 :=
h.lt_or_lt.imp sign_of_neg sign_of_pos
#align real.sign_apply_eq_of_ne_zero Real.sign_apply_eq_of_ne_zero
@[simp]
theorem sign_eq_zero_iff {r : ℝ} : sign r = 0 ↔ r = 0 := by
refine ⟨fun h => ?_, fun h => h.symm ▸ sign_zero⟩
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ)
· rw [sign_of_neg hn, neg_eq_zero] at h
exact (one_ne_zero h).elim
· rfl
· rw [sign_of_pos hp] at h
exact (one_ne_zero h).elim
#align real.sign_eq_zero_iff Real.sign_eq_zero_iff
theorem sign_intCast (z : ℤ) : sign (z : ℝ) = ↑(Int.sign z) := by
obtain hn | rfl | hp := lt_trichotomy z (0 : ℤ)
· rw [sign_of_neg (Int.cast_lt_zero.mpr hn), Int.sign_eq_neg_one_of_neg hn, Int.cast_neg,
Int.cast_one]
· rw [Int.cast_zero, sign_zero, Int.sign_zero, Int.cast_zero]
· rw [sign_of_pos (Int.cast_pos.mpr hp), Int.sign_eq_one_of_pos hp, Int.cast_one]
#align real.sign_int_cast Real.sign_intCast
@[deprecated (since := "2024-04-17")]
alias sign_int_cast := sign_intCast
theorem sign_neg {r : ℝ} : sign (-r) = -sign r := by
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ)
· rw [sign_of_neg hn, sign_of_pos (neg_pos.mpr hn), neg_neg]
· rw [sign_zero, neg_zero, sign_zero]
· rw [sign_of_pos hp, sign_of_neg (neg_lt_zero.mpr hp)]
#align real.sign_neg Real.sign_neg
| Mathlib/Data/Real/Sign.lean | 92 | 98 | theorem sign_mul_nonneg (r : ℝ) : 0 ≤ sign r * r := by |
obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ)
· rw [sign_of_neg hn]
exact mul_nonneg_of_nonpos_of_nonpos (by norm_num) hn.le
· rw [mul_zero]
· rw [sign_of_pos hp, one_mul]
exact hp.le
|
import Mathlib.Data.Set.Prod
#align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654"
open Function
namespace Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ}
variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ}
{d d' : δ}
theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t :=
⟨by
rintro ⟨a', ha', b', hb', h⟩
rcases hf h with ⟨rfl, rfl⟩
exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩
#align set.mem_image2_iff Set.mem_image2_iff
theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by
rintro _ ⟨a, ha, b, hb, rfl⟩
exact mem_image2_of_mem (hs ha) (ht hb)
#align set.image2_subset Set.image2_subset
theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' :=
image2_subset Subset.rfl ht
#align set.image2_subset_left Set.image2_subset_left
theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t :=
image2_subset hs Subset.rfl
#align set.image2_subset_right Set.image2_subset_right
theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t :=
forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb
#align set.image_subset_image2_left Set.image_subset_image2_left
theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t :=
forall_mem_image.2 fun _ => mem_image2_of_mem ha
#align set.image_subset_image2_right Set.image_subset_image2_right
theorem forall_image2_iff {p : γ → Prop} :
(∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) :=
⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩
#align set.forall_image2_iff Set.forall_image2_iff
@[simp]
theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image2_iff
#align set.image2_subset_iff Set.image2_subset_iff
theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage]
#align set.image2_subset_iff_left Set.image2_subset_iff_left
theorem image2_subset_iff_right : image2 f s t ⊆ u ↔ ∀ b ∈ t, (fun a => f a b) '' s ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage, @forall₂_swap α]
#align set.image2_subset_iff_right Set.image2_subset_iff_right
variable (f)
-- Porting note: Removing `simp` - LHS does not simplify
lemma image_prod : (fun x : α × β ↦ f x.1 x.2) '' s ×ˢ t = image2 f s t :=
ext fun _ ↦ by simp [and_assoc]
#align set.image_prod Set.image_prod
@[simp] lemma image_uncurry_prod (s : Set α) (t : Set β) : uncurry f '' s ×ˢ t = image2 f s t :=
image_prod _
#align set.image_uncurry_prod Set.image_uncurry_prod
@[simp] lemma image2_mk_eq_prod : image2 Prod.mk s t = s ×ˢ t := ext <| by simp
#align set.image2_mk_eq_prod Set.image2_mk_eq_prod
-- Porting note: Removing `simp` - LHS does not simplify
lemma image2_curry (f : α × β → γ) (s : Set α) (t : Set β) :
image2 (fun a b ↦ f (a, b)) s t = f '' s ×ˢ t := by
simp [← image_uncurry_prod, uncurry]
#align set.image2_curry Set.image2_curry
theorem image2_swap (s : Set α) (t : Set β) : image2 f s t = image2 (fun a b => f b a) t s := by
ext
constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨b, hb, a, ha, rfl⟩
#align set.image2_swap Set.image2_swap
variable {f}
theorem image2_union_left : image2 f (s ∪ s') t = image2 f s t ∪ image2 f s' t := by
simp_rw [← image_prod, union_prod, image_union]
#align set.image2_union_left Set.image2_union_left
theorem image2_union_right : image2 f s (t ∪ t') = image2 f s t ∪ image2 f s t' := by
rw [← image2_swap, image2_union_left, image2_swap f, image2_swap f]
#align set.image2_union_right Set.image2_union_right
lemma image2_inter_left (hf : Injective2 f) :
image2 f (s ∩ s') t = image2 f s t ∩ image2 f s' t := by
simp_rw [← image_uncurry_prod, inter_prod, image_inter hf.uncurry]
#align set.image2_inter_left Set.image2_inter_left
lemma image2_inter_right (hf : Injective2 f) :
image2 f s (t ∩ t') = image2 f s t ∩ image2 f s t' := by
simp_rw [← image_uncurry_prod, prod_inter, image_inter hf.uncurry]
#align set.image2_inter_right Set.image2_inter_right
@[simp]
theorem image2_empty_left : image2 f ∅ t = ∅ :=
ext <| by simp
#align set.image2_empty_left Set.image2_empty_left
@[simp]
theorem image2_empty_right : image2 f s ∅ = ∅ :=
ext <| by simp
#align set.image2_empty_right Set.image2_empty_right
theorem Nonempty.image2 : s.Nonempty → t.Nonempty → (image2 f s t).Nonempty :=
fun ⟨_, ha⟩ ⟨_, hb⟩ => ⟨_, mem_image2_of_mem ha hb⟩
#align set.nonempty.image2 Set.Nonempty.image2
@[simp]
theorem image2_nonempty_iff : (image2 f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
⟨fun ⟨_, a, ha, b, hb, _⟩ => ⟨⟨a, ha⟩, b, hb⟩, fun h => h.1.image2 h.2⟩
#align set.image2_nonempty_iff Set.image2_nonempty_iff
theorem Nonempty.of_image2_left (h : (Set.image2 f s t).Nonempty) : s.Nonempty :=
(image2_nonempty_iff.1 h).1
#align set.nonempty.of_image2_left Set.Nonempty.of_image2_left
theorem Nonempty.of_image2_right (h : (Set.image2 f s t).Nonempty) : t.Nonempty :=
(image2_nonempty_iff.1 h).2
#align set.nonempty.of_image2_right Set.Nonempty.of_image2_right
@[simp]
theorem image2_eq_empty_iff : image2 f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
rw [← not_nonempty_iff_eq_empty, image2_nonempty_iff, not_and_or]
simp [not_nonempty_iff_eq_empty]
#align set.image2_eq_empty_iff Set.image2_eq_empty_iff
theorem Subsingleton.image2 (hs : s.Subsingleton) (ht : t.Subsingleton) (f : α → β → γ) :
(image2 f s t).Subsingleton := by
rw [← image_prod]
apply (hs.prod ht).image
theorem image2_inter_subset_left : image2 f (s ∩ s') t ⊆ image2 f s t ∩ image2 f s' t :=
Monotone.map_inf_le (fun _ _ ↦ image2_subset_right) s s'
#align set.image2_inter_subset_left Set.image2_inter_subset_left
theorem image2_inter_subset_right : image2 f s (t ∩ t') ⊆ image2 f s t ∩ image2 f s t' :=
Monotone.map_inf_le (fun _ _ ↦ image2_subset_left) t t'
#align set.image2_inter_subset_right Set.image2_inter_subset_right
@[simp]
theorem image2_singleton_left : image2 f {a} t = f a '' t :=
ext fun x => by simp
#align set.image2_singleton_left Set.image2_singleton_left
@[simp]
theorem image2_singleton_right : image2 f s {b} = (fun a => f a b) '' s :=
ext fun x => by simp
#align set.image2_singleton_right Set.image2_singleton_right
| Mathlib/Data/Set/NAry.lean | 177 | 177 | theorem image2_singleton : image2 f {a} {b} = {f a b} := by | simp
|
import Mathlib.Control.Applicative
import Mathlib.Control.Traversable.Basic
#align_import control.traversable.lemmas from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d"
universe u
open LawfulTraversable
open Function hiding comp
open Functor
attribute [functor_norm] LawfulTraversable.naturality
attribute [simp] LawfulTraversable.id_traverse
namespace Traversable
variable {t : Type u → Type u}
variable [Traversable t] [LawfulTraversable t]
variable (F G : Type u → Type u)
variable [Applicative F] [LawfulApplicative F]
variable [Applicative G] [LawfulApplicative G]
variable {α β γ : Type u}
variable (g : α → F β)
variable (h : β → G γ)
variable (f : β → γ)
def PureTransformation :
ApplicativeTransformation Id F where
app := @pure F _
preserves_pure' x := rfl
preserves_seq' f x := by
simp only [map_pure, seq_pure]
rfl
#align traversable.pure_transformation Traversable.PureTransformation
@[simp]
theorem pureTransformation_apply {α} (x : id α) : PureTransformation F x = pure x :=
rfl
#align traversable.pure_transformation_apply Traversable.pureTransformation_apply
variable {F G} (x : t β)
-- Porting note: need to specify `m/F/G := Id` because `id` no longer has a `Monad` instance
theorem map_eq_traverse_id : map (f := t) f = traverse (m := Id) (pure ∘ f) :=
funext fun y => (traverse_eq_map_id f y).symm
#align traversable.map_eq_traverse_id Traversable.map_eq_traverse_id
theorem map_traverse (x : t α) : map f <$> traverse g x = traverse (map f ∘ g) x := by
rw [map_eq_traverse_id f]
refine (comp_traverse (pure ∘ f) g x).symm.trans ?_
congr; apply Comp.applicative_comp_id
#align traversable.map_traverse Traversable.map_traverse
theorem traverse_map (f : β → F γ) (g : α → β) (x : t α) :
traverse f (g <$> x) = traverse (f ∘ g) x := by
rw [@map_eq_traverse_id t _ _ _ _ g]
refine (comp_traverse (G := Id) f (pure ∘ g) x).symm.trans ?_
congr; apply Comp.applicative_id_comp
#align traversable.traverse_map Traversable.traverse_map
theorem pure_traverse (x : t α) : traverse pure x = (pure x : F (t α)) := by
have : traverse pure x = pure (traverse (m := Id) pure x) :=
(naturality (PureTransformation F) pure x).symm
rwa [id_traverse] at this
#align traversable.pure_traverse Traversable.pure_traverse
theorem id_sequence (x : t α) : sequence (f := Id) (pure <$> x) = pure x := by
simp [sequence, traverse_map, id_traverse]
#align traversable.id_sequence Traversable.id_sequence
theorem comp_sequence (x : t (F (G α))) :
sequence (Comp.mk <$> x) = Comp.mk (sequence <$> sequence x) := by
simp only [sequence, traverse_map, id_comp]; rw [← comp_traverse]; simp [map_id]
#align traversable.comp_sequence Traversable.comp_sequence
theorem naturality' (η : ApplicativeTransformation F G) (x : t (F α)) :
η (sequence x) = sequence (@η _ <$> x) := by simp [sequence, naturality, traverse_map]
#align traversable.naturality' Traversable.naturality'
@[functor_norm]
theorem traverse_id : traverse pure = (pure : t α → Id (t α)) := by
ext
exact id_traverse _
#align traversable.traverse_id Traversable.traverse_id
@[functor_norm]
| Mathlib/Control/Traversable/Lemmas.lean | 109 | 113 | theorem traverse_comp (g : α → F β) (h : β → G γ) :
traverse (Comp.mk ∘ map h ∘ g) =
(Comp.mk ∘ map (traverse h) ∘ traverse g : t α → Comp F G (t γ)) := by |
ext
exact comp_traverse _ _ _
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.HasseDeriv
#align_import data.polynomial.taylor from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
namespace Polynomial
open Polynomial
variable {R : Type*} [Semiring R] (r : R) (f : R[X])
def taylor (r : R) : R[X] →ₗ[R] R[X] where
toFun f := f.comp (X + C r)
map_add' f g := add_comp
map_smul' c f := by simp only [smul_eq_C_mul, C_mul_comp, RingHom.id_apply]
#align polynomial.taylor Polynomial.taylor
theorem taylor_apply : taylor r f = f.comp (X + C r) :=
rfl
#align polynomial.taylor_apply Polynomial.taylor_apply
@[simp]
theorem taylor_X : taylor r X = X + C r := by simp only [taylor_apply, X_comp]
set_option linter.uppercaseLean3 false in
#align polynomial.taylor_X Polynomial.taylor_X
@[simp]
theorem taylor_C (x : R) : taylor r (C x) = C x := by simp only [taylor_apply, C_comp]
set_option linter.uppercaseLean3 false in
#align polynomial.taylor_C Polynomial.taylor_C
@[simp]
theorem taylor_zero' : taylor (0 : R) = LinearMap.id := by
ext
simp only [taylor_apply, add_zero, comp_X, _root_.map_zero, LinearMap.id_comp,
Function.comp_apply, LinearMap.coe_comp]
#align polynomial.taylor_zero' Polynomial.taylor_zero'
theorem taylor_zero (f : R[X]) : taylor 0 f = f := by rw [taylor_zero', LinearMap.id_apply]
#align polynomial.taylor_zero Polynomial.taylor_zero
@[simp]
theorem taylor_one : taylor r (1 : R[X]) = C 1 := by rw [← C_1, taylor_C]
#align polynomial.taylor_one Polynomial.taylor_one
@[simp]
theorem taylor_monomial (i : ℕ) (k : R) : taylor r (monomial i k) = C k * (X + C r) ^ i := by
simp [taylor_apply]
#align polynomial.taylor_monomial Polynomial.taylor_monomial
theorem taylor_coeff (n : ℕ) : (taylor r f).coeff n = (hasseDeriv n f).eval r :=
show (lcoeff R n).comp (taylor r) f = (leval r).comp (hasseDeriv n) f by
congr 1; clear! f; ext i
simp only [leval_apply, mul_one, one_mul, eval_monomial, LinearMap.comp_apply, coeff_C_mul,
hasseDeriv_monomial, taylor_apply, monomial_comp, C_1, (commute_X (C r)).add_pow i,
map_sum]
simp only [lcoeff_apply, ← C_eq_natCast, mul_assoc, ← C_pow, ← C_mul, coeff_mul_C,
(Nat.cast_commute _ _).eq, coeff_X_pow, boole_mul, Finset.sum_ite_eq, Finset.mem_range]
split_ifs with h; · rfl
push_neg at h; rw [Nat.choose_eq_zero_of_lt h, Nat.cast_zero, mul_zero]
#align polynomial.taylor_coeff Polynomial.taylor_coeff
@[simp]
theorem taylor_coeff_zero : (taylor r f).coeff 0 = f.eval r := by
rw [taylor_coeff, hasseDeriv_zero, LinearMap.id_apply]
#align polynomial.taylor_coeff_zero Polynomial.taylor_coeff_zero
@[simp]
theorem taylor_coeff_one : (taylor r f).coeff 1 = f.derivative.eval r := by
rw [taylor_coeff, hasseDeriv_one]
#align polynomial.taylor_coeff_one Polynomial.taylor_coeff_one
@[simp]
| Mathlib/Algebra/Polynomial/Taylor.lean | 98 | 102 | theorem natDegree_taylor (p : R[X]) (r : R) : natDegree (taylor r p) = natDegree p := by |
refine map_natDegree_eq_natDegree _ ?_
nontriviality R
intro n c c0
simp [taylor_monomial, natDegree_C_mul_eq_of_mul_ne_zero, natDegree_pow_X_add_C, c0]
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
#align nat.factorization_prod Nat.factorization_prod
@[simp]
theorem factorization_pow (n k : ℕ) : factorization (n ^ k) = k • n.factorization := by
induction' k with k ih; · simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rw [Nat.pow_succ, mul_comm, factorization_mul hn (pow_ne_zero _ hn), ih,
add_smul, one_smul, add_comm]
#align nat.factorization_pow Nat.factorization_pow
@[simp]
protected theorem Prime.factorization {p : ℕ} (hp : Prime p) : p.factorization = single p 1 := by
ext q
rw [← factors_count_eq, factors_prime hp, single_apply, count_singleton', if_congr eq_comm] <;>
rfl
#align nat.prime.factorization Nat.Prime.factorization
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
#align nat.prime.factorization_self Nat.Prime.factorization_self
theorem Prime.factorization_pow {p k : ℕ} (hp : Prime p) : (p ^ k).factorization = single p k := by
simp [hp]
#align nat.prime.factorization_pow Nat.Prime.factorization_pow
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
-- Porting note: explicitly added `Finsupp.prod_single_index`
rw [← Nat.factorization_prod_pow_eq_self hn, h, Finsupp.prod_single_index]
simp
#align nat.eq_pow_of_factorization_eq_single Nat.eq_pow_of_factorization_eq_single
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
#align nat.prime.eq_of_factorization_pos Nat.Prime.eq_of_factorization_pos
theorem prod_pow_factorization_eq_self {f : ℕ →₀ ℕ} (hf : ∀ p : ℕ, p ∈ f.support → Prime p) :
(f.prod (· ^ ·)).factorization = f := by
have h : ∀ x : ℕ, x ∈ f.support → x ^ f x ≠ 0 := fun p hp =>
pow_ne_zero _ (Prime.ne_zero (hf p hp))
simp only [Finsupp.prod, factorization_prod h]
conv =>
rhs
rw [(sum_single f).symm]
exact sum_congr rfl fun p hp => Prime.factorization_pow (hf p hp)
#align nat.prod_pow_factorization_eq_self Nat.prod_pow_factorization_eq_self
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
#align nat.eq_factorization_iff Nat.eq_factorization_iff
def factorizationEquiv : ℕ+ ≃ { f : ℕ →₀ ℕ | ∀ p ∈ f.support, Prime p } where
toFun := fun ⟨n, _⟩ => ⟨n.factorization, fun _ => prime_of_mem_primeFactors⟩
invFun := fun ⟨f, hf⟩ =>
⟨f.prod _, prod_pow_pos_of_zero_not_mem_support fun H => not_prime_zero (hf 0 H)⟩
left_inv := fun ⟨_, hx⟩ => Subtype.ext <| factorization_prod_pow_eq_self hx.ne.symm
right_inv := fun ⟨_, hf⟩ => Subtype.ext <| prod_pow_factorization_eq_self hf
#align nat.factorization_equiv Nat.factorizationEquiv
theorem factorizationEquiv_apply (n : ℕ+) : (factorizationEquiv n).1 = n.1.factorization := by
cases n
rfl
#align nat.factorization_equiv_apply Nat.factorizationEquiv_apply
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
#align nat.factorization_equiv_inv_apply Nat.factorizationEquiv_inv_apply
-- Porting note: Lean 4 thinks we need `HPow` without this
set_option quotPrecheck false in
notation "ord_proj[" p "] " n:arg => p ^ Nat.factorization n p
notation "ord_compl[" p "] " n:arg => n / ord_proj[p] n
@[simp]
theorem ord_proj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_proj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_proj_of_not_prime Nat.ord_proj_of_not_prime
@[simp]
theorem ord_compl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_compl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_compl_of_not_prime Nat.ord_compl_of_not_prime
theorem ord_proj_dvd (n p : ℕ) : ord_proj[p] n ∣ n := by
if hp : p.Prime then ?_ else simp [hp]
rw [← factors_count_eq]
apply dvd_of_factors_subperm (pow_ne_zero _ hp.ne_zero)
rw [hp.factors_pow, List.subperm_ext_iff]
intro q hq
simp [List.eq_of_mem_replicate hq]
#align nat.ord_proj_dvd Nat.ord_proj_dvd
theorem ord_compl_dvd (n p : ℕ) : ord_compl[p] n ∣ n :=
div_dvd_of_dvd (ord_proj_dvd n p)
#align nat.ord_compl_dvd Nat.ord_compl_dvd
theorem ord_proj_pos (n p : ℕ) : 0 < ord_proj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
#align nat.ord_proj_pos Nat.ord_proj_pos
theorem ord_proj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ord_proj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ord_proj_dvd n p)
#align nat.ord_proj_le Nat.ord_proj_le
theorem ord_compl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ord_compl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ord_proj_le p hn) (ord_proj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.ord_compl_pos Nat.ord_compl_pos
theorem ord_compl_le (n p : ℕ) : ord_compl[p] n ≤ n :=
Nat.div_le_self _ _
#align nat.ord_compl_le Nat.ord_compl_le
theorem ord_proj_mul_ord_compl_eq_self (n p : ℕ) : ord_proj[p] n * ord_compl[p] n = n :=
Nat.mul_div_cancel' (ord_proj_dvd n p)
#align nat.ord_proj_mul_ord_compl_eq_self Nat.ord_proj_mul_ord_compl_eq_self
theorem ord_proj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ord_proj[p] (a * b) = ord_proj[p] a * ord_proj[p] b := by
simp [factorization_mul ha hb, pow_add]
#align nat.ord_proj_mul Nat.ord_proj_mul
theorem ord_compl_mul (a b p : ℕ) : ord_compl[p] (a * b) = ord_compl[p] a * ord_compl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ord_proj_mul p ha hb]
rw [div_mul_div_comm (ord_proj_dvd a p) (ord_proj_dvd b p)]
#align nat.ord_compl_mul Nat.ord_compl_mul
#align nat.dvd_of_mem_factorization Nat.dvd_of_mem_primeFactors
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (pow_lt_pow_iff_right pp.one_lt).1 <| (ord_proj_le p hn).trans_lt <|
lt_pow_self pp.one_lt _
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.factorization_lt Nat.factorization_lt
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (pow_le_pow_iff_right pp.one_lt).1 ((ord_proj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
#align nat.factorization_le_of_le_pow Nat.factorization_le_of_le_pow
theorem factorization_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
d.factorization ≤ n.factorization ↔ d ∣ n := by
constructor
· intro hdn
set K := n.factorization - d.factorization with hK
use K.prod (· ^ ·)
rw [← factorization_prod_pow_eq_self hn, ← factorization_prod_pow_eq_self hd,
← Finsupp.prod_add_index' pow_zero pow_add, hK, add_tsub_cancel_of_le hdn]
· rintro ⟨c, rfl⟩
rw [factorization_mul hd (right_ne_zero_of_mul hn)]
simp
#align nat.factorization_le_iff_dvd Nat.factorization_le_iff_dvd
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
#align nat.factorization_prime_le_iff_dvd Nat.factorization_prime_le_iff_dvd
theorem pow_succ_factorization_not_dvd {n p : ℕ} (hn : n ≠ 0) (hp : p.Prime) :
¬p ^ (n.factorization p + 1) ∣ n := by
intro h
rw [← factorization_le_iff_dvd (pow_pos hp.pos _).ne' hn] at h
simpa [hp.factorization] using h p
#align nat.pow_succ_factorization_not_dvd Nat.pow_succ_factorization_not_dvd
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
#align nat.factorization_le_factorization_mul_left Nat.factorization_le_factorization_mul_left
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
#align nat.factorization_le_factorization_mul_right Nat.factorization_le_factorization_mul_right
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
#align nat.prime.pow_dvd_iff_le_factorization Nat.Prime.pow_dvd_iff_le_factorization
theorem Prime.pow_dvd_iff_dvd_ord_proj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ord_proj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
#align nat.prime.pow_dvd_iff_dvd_ord_proj Nat.Prime.pow_dvd_iff_dvd_ord_proj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
#align nat.prime.dvd_iff_one_le_factorization Nat.Prime.dvd_iff_one_le_factorization
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
#align nat.exists_factorization_lt_of_lt Nat.exists_factorization_lt_of_lt
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
#align nat.factorization_div Nat.factorization_div
theorem dvd_ord_proj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ord_proj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
#align nat.dvd_ord_proj_of_dvd Nat.dvd_ord_proj_of_dvd
theorem not_dvd_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ord_compl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ord_compl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ord_proj_dvd n p)]
simp [hp.factorization]
#align nat.not_dvd_ord_compl Nat.not_dvd_ord_compl
theorem coprime_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ord_compl[p] n) :=
(or_iff_left (not_dvd_ord_compl hp hn)).mp <| coprime_or_dvd_of_prime hp _
#align nat.coprime_ord_compl Nat.coprime_ord_compl
theorem factorization_ord_compl (n p : ℕ) :
(ord_compl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
-- Porting note: needed to solve side goal explicitly
rw [Finsupp.erase_of_not_mem_support] <;> simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ord_compl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ord_proj_dvd n p)]
simp [pp.factorization, hqp.symm]
#align nat.factorization_ord_compl Nat.factorization_ord_compl
-- `ord_compl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ord_compl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ord_compl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ord_compl_pos p hn0).ne', factorization_ord_compl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
#align nat.dvd_ord_compl_of_dvd_not_dvd Nat.dvd_ord_compl_of_dvd_not_dvd
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
multiplicity.exists_eq_pow_mul_and_not_dvd
(multiplicity.finite_nat_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩)
⟨_, a', h₂, h₁⟩
#align nat.exists_eq_pow_mul_and_not_dvd Nat.exists_eq_pow_mul_and_not_dvd
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := fun H => Nat.lt_asymm hd_lt_n ((Nat.div_eq_zero_iff hd.bot_lt).mp H)
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
cases' exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2) with p hp
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
#align nat.dvd_iff_div_factorization_eq_tsub Nat.dvd_iff_div_factorization_eq_tsub
theorem ord_proj_dvd_ord_proj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ord_proj[p] a ∣ ord_proj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
#align nat.ord_proj_dvd_ord_proj_of_dvd Nat.ord_proj_dvd_ord_proj_of_dvd
theorem ord_proj_dvd_ord_proj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ord_proj[p] a ∣ ord_proj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_proj_dvd_ord_proj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
#align nat.ord_proj_dvd_ord_proj_iff_dvd Nat.ord_proj_dvd_ord_proj_iff_dvd
theorem ord_compl_dvd_ord_compl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ord_compl[p] a ∣ ord_compl[p] b := by
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ord_proj_le p ha0) (ord_proj_pos a p)).ne'
have hb := (Nat.div_pos (ord_proj_le p hb0) (ord_proj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ord_compl a p, factorization_ord_compl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
#align nat.ord_compl_dvd_ord_compl_of_dvd Nat.ord_compl_dvd_ord_compl_of_dvd
theorem ord_compl_dvd_ord_compl_iff_dvd (a b : ℕ) :
(∀ p : ℕ, ord_compl[p] a ∣ ord_compl[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_compl_dvd_ord_compl_of_dvd hab p⟩
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
if pa : a.Prime then ?_ else simpa [pa] using h a
if pb : b.Prime then ?_ else simpa [pb] using h b
rw [prime_dvd_prime_iff_eq pa pb]
by_contra hab
apply pa.ne_one
rw [← Nat.dvd_one, ← Nat.mul_dvd_mul_iff_left hb0.bot_lt, mul_one]
simpa [Prime.factorization_self pb, Prime.factorization pa, hab] using h b
#align nat.ord_compl_dvd_ord_compl_iff_dvd Nat.ord_compl_dvd_ord_compl_iff_dvd
theorem dvd_iff_prime_pow_dvd_dvd (n d : ℕ) :
d ∣ n ↔ ∀ p k : ℕ, Prime p → p ^ k ∣ d → p ^ k ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rcases eq_or_ne d 0 with (rfl | hd)
· simp only [zero_dvd_iff, hn, false_iff_iff, not_forall]
exact ⟨2, n, prime_two, dvd_zero _, mt (le_of_dvd hn.bot_lt) (lt_two_pow n).not_le⟩
refine ⟨fun h p k _ hpkd => dvd_trans hpkd h, ?_⟩
rw [← factorization_prime_le_iff_dvd hd hn]
intro h p pp
simp_rw [← pp.pow_dvd_iff_le_factorization hn]
exact h p _ pp (ord_proj_dvd _ _)
#align nat.dvd_iff_prime_pow_dvd_dvd Nat.dvd_iff_prime_pow_dvd_dvd
theorem prod_primeFactors_dvd (n : ℕ) : ∏ p ∈ n.primeFactors, p ∣ n := by
by_cases hn : n = 0
· subst hn
simp
simpa [prod_factors hn] using Multiset.toFinset_prod_dvd_prod (n.factors : Multiset ℕ)
#align nat.prod_prime_factors_dvd Nat.prod_primeFactors_dvd
theorem factorization_gcd {a b : ℕ} (ha_pos : a ≠ 0) (hb_pos : b ≠ 0) :
(gcd a b).factorization = a.factorization ⊓ b.factorization := by
let dfac := a.factorization ⊓ b.factorization
let d := dfac.prod (· ^ ·)
have dfac_prime : ∀ p : ℕ, p ∈ dfac.support → Prime p := by
intro p hp
have : p ∈ a.factors ∧ p ∈ b.factors := by simpa [dfac] using hp
exact prime_of_mem_factors this.1
have h1 : d.factorization = dfac := prod_pow_factorization_eq_self dfac_prime
have hd_pos : d ≠ 0 := (factorizationEquiv.invFun ⟨dfac, dfac_prime⟩).2.ne'
suffices d = gcd a b by rwa [← this]
apply gcd_greatest
· rw [← factorization_le_iff_dvd hd_pos ha_pos, h1]
exact inf_le_left
· rw [← factorization_le_iff_dvd hd_pos hb_pos, h1]
exact inf_le_right
· intro e hea heb
rcases Decidable.eq_or_ne e 0 with (rfl | he_pos)
· simp only [zero_dvd_iff] at hea
contradiction
have hea' := (factorization_le_iff_dvd he_pos ha_pos).mpr hea
have heb' := (factorization_le_iff_dvd he_pos hb_pos).mpr heb
simp [dfac, ← factorization_le_iff_dvd he_pos hd_pos, h1, hea', heb']
#align nat.factorization_gcd Nat.factorization_gcd
theorem factorization_lcm {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a.lcm b).factorization = a.factorization ⊔ b.factorization := by
rw [← add_right_inj (a.gcd b).factorization, ←
factorization_mul (mt gcd_eq_zero_iff.1 fun h => ha h.1) (lcm_ne_zero ha hb), gcd_mul_lcm,
factorization_gcd ha hb, factorization_mul ha hb]
ext1
exact (min_add_max _ _).symm
#align nat.factorization_lcm Nat.factorization_lcm
def factorizationLCMLeft (a b : ℕ) : ℕ :=
(Nat.lcm a b).factorization.prod fun p n ↦
if b.factorization p ≤ a.factorization p then p ^ n else 1
def factorizationLCMRight (a b : ℕ) :=
(Nat.lcm a b).factorization.prod fun p n ↦
if b.factorization p ≤ a.factorization p then 1 else p ^ n
variable (a b)
@[simp]
lemma factorizationLCMLeft_zero_left : factorizationLCMLeft 0 b = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCMLeft_zero_right : factorizationLCMLeft a 0 = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCRight_zero_left : factorizationLCMRight 0 b = 1 := by
simp [factorizationLCMRight]
@[simp]
lemma factorizationLCMRight_zero_right : factorizationLCMRight a 0 = 1 := by
simp [factorizationLCMRight]
lemma factorizationLCMLeft_pos :
0 < factorizationLCMLeft a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMLeft, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
· simp only [h, reduceIte, one_ne_zero] at H
lemma factorizationLCMRight_pos :
0 < factorizationLCMRight a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMRight, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
· simp only [h, ↓reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
lemma coprime_factorizationLCMLeft_factorizationLCMRight :
(factorizationLCMLeft a b).Coprime (factorizationLCMRight a b) := by
rw [factorizationLCMLeft, factorizationLCMRight]
refine coprime_prod_left_iff.mpr fun p hp ↦ coprime_prod_right_iff.mpr fun q hq ↦ ?_
dsimp only; split_ifs with h h'
any_goals simp only [coprime_one_right_eq_true, coprime_one_left_eq_true]
refine coprime_pow_primes _ _ (prime_of_mem_primeFactors hp) (prime_of_mem_primeFactors hq) ?_
contrapose! h'; rwa [← h']
variable {a b}
lemma factorizationLCMLeft_mul_factorizationLCMRight (ha : a ≠ 0) (hb : b ≠ 0) :
(factorizationLCMLeft a b) * (factorizationLCMRight a b) = lcm a b := by
rw [← factorization_prod_pow_eq_self (lcm_ne_zero ha hb), factorizationLCMLeft,
factorizationLCMRight, ← prod_mul]
congr; ext p n; split_ifs <;> simp
variable (a b)
lemma factorizationLCMLeft_dvd_left : factorizationLCMLeft a b ∣ a := by
rcases eq_or_ne a 0 with rfl | ha
· simp only [dvd_zero]
rcases eq_or_ne b 0 with rfl | hb
· simp [factorizationLCMLeft]
nth_rewrite 2 [← factorization_prod_pow_eq_self ha]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le le_rfl le
· apply one_dvd
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inl <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
lemma factorizationLCMRight_dvd_right : factorizationLCMRight a b ∣ b := by
rcases eq_or_ne a 0 with rfl | ha
· simp [factorizationLCMRight]
rcases eq_or_ne b 0 with rfl | hb
· simp only [dvd_zero]
nth_rewrite 2 [← factorization_prod_pow_eq_self hb]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply Finset.prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· apply one_dvd
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le (not_le.1 le).le le_rfl
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inr <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
@[to_additive sum_primeFactors_gcd_add_sum_primeFactors_mul]
| Mathlib/Data/Nat/Factorization/Basic.lean | 760 | 768 | theorem prod_primeFactors_gcd_mul_prod_primeFactors_mul {β : Type*} [CommMonoid β] (m n : ℕ)
(f : ℕ → β) :
(m.gcd n).primeFactors.prod f * (m * n).primeFactors.prod f =
m.primeFactors.prod f * n.primeFactors.prod f := by |
obtain rfl | hm₀ := eq_or_ne m 0
· simp
obtain rfl | hn₀ := eq_or_ne n 0
· simp
· rw [primeFactors_mul hm₀ hn₀, primeFactors_gcd hm₀ hn₀, mul_comm, Finset.prod_union_inter]
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
#align measure_theory.lintegral_const MeasureTheory.lintegral_const
theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp
#align measure_theory.lintegral_zero MeasureTheory.lintegral_zero
theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 :=
lintegral_zero
#align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun
-- @[simp] -- Porting note (#10618): simp can prove this
theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul]
#align measure_theory.lintegral_one MeasureTheory.lintegral_one
theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by
rw [lintegral_const, Measure.restrict_apply_univ]
#align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const
theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul]
#align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one
theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) :
∫⁻ _ in s, c ∂μ < ∞ := by
rw [lintegral_const]
exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ)
#align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top
theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by
simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc
#align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top
section
variable (μ)
theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) :
∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀
· exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩
rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩
have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by
intro n
simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using
(hLf n).2
choose g hgm hgf hLg using this
refine
⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩
· refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_
exact le_iSup (fun n => g n x) n
· exact lintegral_mono fun x => iSup_le fun n => hgf n x
#align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq
end
theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ =
⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by
rw [lintegral]
refine
le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩)
by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞
· let ψ := φ.map ENNReal.toNNReal
replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal
have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x)
exact
le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h))
· have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h
refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_)
obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb)
use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞})
simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const,
ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast,
restrict_const_lintegral]
refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩
simp only [mem_preimage, mem_singleton_iff] at hx
simp only [hx, le_top]
#align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal
theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞)
{ε : ℝ≥0∞} (hε : ε ≠ 0) :
∃ φ : α →ₛ ℝ≥0,
(∀ x, ↑(φ x) ≤ f x) ∧
∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by
rw [lintegral_eq_nnreal] at h
have := ENNReal.lt_add_right h hε
erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩]
simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this
rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩
refine ⟨φ, hle, fun ψ hψ => ?_⟩
have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle)
rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ
norm_cast
simp only [add_apply, sub_apply, add_tsub_eq_max]
rfl
#align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos
theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) :
⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by
simp only [← iSup_apply]
exact (monotone_lintegral μ).le_map_iSup
#align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le
theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by
convert (monotone_lintegral μ).le_map_iSup₂ f with a
simp only [iSup_apply]
#align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le
theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) :
∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by
simp only [← iInf_apply]
exact (monotone_lintegral μ).map_iInf_le
#align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral
theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by
convert (monotone_lintegral μ).map_iInf₂_le f with a
simp only [iInf_apply]
#align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral
theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) :
∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩
have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0
rw [lintegral, lintegral]
refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_
· intro a
by_cases h : a ∈ t <;>
simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true,
indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem]
exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg))
· refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_)
by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true,
not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem]
exact (hnt hat).elim
#align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae
theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg
#align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae
theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae hf hg (ae_of_all _ hfg)
#align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono
theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg
theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae' hs (ae_of_all _ hfg)
theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) :
∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ :=
lintegral_mono' Measure.restrict_le_self le_rfl
theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ :=
le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le)
#align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae
theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
simp only [h]
#align measure_theory.lintegral_congr MeasureTheory.lintegral_congr
theorem set_lintegral_congr {f : α → ℝ≥0∞} {s t : Set α} (h : s =ᵐ[μ] t) :
∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ := by rw [Measure.restrict_congr_set h]
#align measure_theory.set_lintegral_congr MeasureTheory.set_lintegral_congr
theorem set_lintegral_congr_fun {f g : α → ℝ≥0∞} {s : Set α} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ := by
rw [lintegral_congr_ae]
rw [EventuallyEq]
rwa [ae_restrict_iff' hs]
#align measure_theory.set_lintegral_congr_fun MeasureTheory.set_lintegral_congr_fun
theorem lintegral_ofReal_le_lintegral_nnnorm (f : α → ℝ) :
∫⁻ x, ENNReal.ofReal (f x) ∂μ ≤ ∫⁻ x, ‖f x‖₊ ∂μ := by
simp_rw [← ofReal_norm_eq_coe_nnnorm]
refine lintegral_mono fun x => ENNReal.ofReal_le_ofReal ?_
rw [Real.norm_eq_abs]
exact le_abs_self (f x)
#align measure_theory.lintegral_of_real_le_lintegral_nnnorm MeasureTheory.lintegral_ofReal_le_lintegral_nnnorm
theorem lintegral_nnnorm_eq_of_ae_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ᵐ[μ] f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := by
apply lintegral_congr_ae
filter_upwards [h_nonneg] with x hx
rw [Real.nnnorm_of_nonneg hx, ENNReal.ofReal_eq_coe_nnreal hx]
#align measure_theory.lintegral_nnnorm_eq_of_ae_nonneg MeasureTheory.lintegral_nnnorm_eq_of_ae_nonneg
theorem lintegral_nnnorm_eq_of_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ :=
lintegral_nnnorm_eq_of_ae_nonneg (Filter.eventually_of_forall h_nonneg)
#align measure_theory.lintegral_nnnorm_eq_of_nonneg MeasureTheory.lintegral_nnnorm_eq_of_nonneg
theorem lintegral_iSup {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : Monotone f) :
∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
set c : ℝ≥0 → ℝ≥0∞ := (↑)
set F := fun a : α => ⨆ n, f n a
refine le_antisymm ?_ (iSup_lintegral_le _)
rw [lintegral_eq_nnreal]
refine iSup_le fun s => iSup_le fun hsf => ?_
refine ENNReal.le_of_forall_lt_one_mul_le fun a ha => ?_
rcases ENNReal.lt_iff_exists_coe.1 ha with ⟨r, rfl, _⟩
have ha : r < 1 := ENNReal.coe_lt_coe.1 ha
let rs := s.map fun a => r * a
have eq_rs : rs.map c = (const α r : α →ₛ ℝ≥0∞) * map c s := rfl
have eq : ∀ p, rs.map c ⁻¹' {p} = ⋃ n, rs.map c ⁻¹' {p} ∩ { a | p ≤ f n a } := by
intro p
rw [← inter_iUnion]; nth_rw 1 [← inter_univ (map c rs ⁻¹' {p})]
refine Set.ext fun x => and_congr_right fun hx => true_iff_iff.2 ?_
by_cases p_eq : p = 0
· simp [p_eq]
simp only [coe_map, mem_preimage, Function.comp_apply, mem_singleton_iff] at hx
subst hx
have : r * s x ≠ 0 := by rwa [Ne, ← ENNReal.coe_eq_zero]
have : s x ≠ 0 := right_ne_zero_of_mul this
have : (rs.map c) x < ⨆ n : ℕ, f n x := by
refine lt_of_lt_of_le (ENNReal.coe_lt_coe.2 ?_) (hsf x)
suffices r * s x < 1 * s x by simpa
exact mul_lt_mul_of_pos_right ha (pos_iff_ne_zero.2 this)
rcases lt_iSup_iff.1 this with ⟨i, hi⟩
exact mem_iUnion.2 ⟨i, le_of_lt hi⟩
have mono : ∀ r : ℝ≥0∞, Monotone fun n => rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a } := by
intro r i j h
refine inter_subset_inter_right _ ?_
simp_rw [subset_def, mem_setOf]
intro x hx
exact le_trans hx (h_mono h x)
have h_meas : ∀ n, MeasurableSet {a : α | map c rs a ≤ f n a} := fun n =>
measurableSet_le (SimpleFunc.measurable _) (hf n)
calc
(r : ℝ≥0∞) * (s.map c).lintegral μ = ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r}) := by
rw [← const_mul_lintegral, eq_rs, SimpleFunc.lintegral]
_ = ∑ r ∈ (rs.map c).range, r * μ (⋃ n, rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
simp only [(eq _).symm]
_ = ∑ r ∈ (rs.map c).range, ⨆ n, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) :=
(Finset.sum_congr rfl fun x _ => by
rw [measure_iUnion_eq_iSup (mono x).directed_le, ENNReal.mul_iSup])
_ = ⨆ n, ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
refine ENNReal.finset_sum_iSup_nat fun p i j h ↦ ?_
gcongr _ * μ ?_
exact mono p h
_ ≤ ⨆ n : ℕ, ((rs.map c).restrict { a | (rs.map c) a ≤ f n a }).lintegral μ := by
gcongr with n
rw [restrict_lintegral _ (h_meas n)]
refine le_of_eq (Finset.sum_congr rfl fun r _ => ?_)
congr 2 with a
refine and_congr_right ?_
simp (config := { contextual := true })
_ ≤ ⨆ n, ∫⁻ a, f n a ∂μ := by
simp only [← SimpleFunc.lintegral_eq_lintegral]
gcongr with n a
simp only [map_apply] at h_meas
simp only [coe_map, restrict_apply _ (h_meas _), (· ∘ ·)]
exact indicator_apply_le id
#align measure_theory.lintegral_supr MeasureTheory.lintegral_iSup
theorem lintegral_iSup' {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ)
(h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iSup_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Monotone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_mono
have h_ae_seq_mono : Monotone (aeSeq hf p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet hf p
· exact aeSeq.prop_of_mem_aeSeqSet hf hx hnm
· simp only [aeSeq, hx, if_false, le_rfl]
rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm]
simp_rw [iSup_apply]
rw [lintegral_iSup (aeSeq.measurable hf p) h_ae_seq_mono]
congr with n
exact lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae hf hp n)
#align measure_theory.lintegral_supr' MeasureTheory.lintegral_iSup'
theorem lintegral_tendsto_of_tendsto_of_monotone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞}
(hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x)
(h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 <| F x)) :
Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 <| ∫⁻ x, F x ∂μ) := by
have : Monotone fun n => ∫⁻ x, f n x ∂μ := fun i j hij =>
lintegral_mono_ae (h_mono.mono fun x hx => hx hij)
suffices key : ∫⁻ x, F x ∂μ = ⨆ n, ∫⁻ x, f n x ∂μ by
rw [key]
exact tendsto_atTop_iSup this
rw [← lintegral_iSup' hf h_mono]
refine lintegral_congr_ae ?_
filter_upwards [h_mono, h_tendsto] with _ hx_mono hx_tendsto using
tendsto_nhds_unique hx_tendsto (tendsto_atTop_iSup hx_mono)
#align measure_theory.lintegral_tendsto_of_tendsto_of_monotone MeasureTheory.lintegral_tendsto_of_tendsto_of_monotone
theorem lintegral_eq_iSup_eapprox_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, f a ∂μ = ⨆ n, (eapprox f n).lintegral μ :=
calc
∫⁻ a, f a ∂μ = ∫⁻ a, ⨆ n, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
congr; ext a; rw [iSup_eapprox_apply f hf]
_ = ⨆ n, ∫⁻ a, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
apply lintegral_iSup
· measurability
· intro i j h
exact monotone_eapprox f h
_ = ⨆ n, (eapprox f n).lintegral μ := by
congr; ext n; rw [(eapprox f n).lintegral_eq_lintegral]
#align measure_theory.lintegral_eq_supr_eapprox_lintegral MeasureTheory.lintegral_eq_iSup_eapprox_lintegral
theorem exists_pos_set_lintegral_lt_of_measure_lt {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞}
(hε : ε ≠ 0) : ∃ δ > 0, ∀ s, μ s < δ → ∫⁻ x in s, f x ∂μ < ε := by
rcases exists_between (pos_iff_ne_zero.mpr hε) with ⟨ε₂, hε₂0, hε₂ε⟩
rcases exists_between hε₂0 with ⟨ε₁, hε₁0, hε₁₂⟩
rcases exists_simpleFunc_forall_lintegral_sub_lt_of_pos h hε₁0.ne' with ⟨φ, _, hφ⟩
rcases φ.exists_forall_le with ⟨C, hC⟩
use (ε₂ - ε₁) / C, ENNReal.div_pos_iff.2 ⟨(tsub_pos_iff_lt.2 hε₁₂).ne', ENNReal.coe_ne_top⟩
refine fun s hs => lt_of_le_of_lt ?_ hε₂ε
simp only [lintegral_eq_nnreal, iSup_le_iff]
intro ψ hψ
calc
(map (↑) ψ).lintegral (μ.restrict s) ≤
(map (↑) φ).lintegral (μ.restrict s) + (map (↑) (ψ - φ)).lintegral (μ.restrict s) := by
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine SimpleFunc.lintegral_mono (fun x => ?_) le_rfl
simp only [add_tsub_eq_max, le_max_right, coe_map, Function.comp_apply, SimpleFunc.coe_add,
SimpleFunc.coe_sub, Pi.add_apply, Pi.sub_apply, ENNReal.coe_max (φ x) (ψ x)]
_ ≤ (map (↑) φ).lintegral (μ.restrict s) + ε₁ := by
gcongr
refine le_trans ?_ (hφ _ hψ).le
exact SimpleFunc.lintegral_mono le_rfl Measure.restrict_le_self
_ ≤ (SimpleFunc.const α (C : ℝ≥0∞)).lintegral (μ.restrict s) + ε₁ := by
gcongr
exact SimpleFunc.lintegral_mono (fun x ↦ ENNReal.coe_le_coe.2 (hC x)) le_rfl
_ = C * μ s + ε₁ := by
simp only [← SimpleFunc.lintegral_eq_lintegral, coe_const, lintegral_const,
Measure.restrict_apply, MeasurableSet.univ, univ_inter, Function.const]
_ ≤ C * ((ε₂ - ε₁) / C) + ε₁ := by gcongr
_ ≤ ε₂ - ε₁ + ε₁ := by gcongr; apply mul_div_le
_ = ε₂ := tsub_add_cancel_of_le hε₁₂.le
#align measure_theory.exists_pos_set_lintegral_lt_of_measure_lt MeasureTheory.exists_pos_set_lintegral_lt_of_measure_lt
theorem tendsto_set_lintegral_zero {ι} {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {l : Filter ι}
{s : ι → Set α} (hl : Tendsto (μ ∘ s) l (𝓝 0)) :
Tendsto (fun i => ∫⁻ x in s i, f x ∂μ) l (𝓝 0) := by
simp only [ENNReal.nhds_zero, tendsto_iInf, tendsto_principal, mem_Iio,
← pos_iff_ne_zero] at hl ⊢
intro ε ε0
rcases exists_pos_set_lintegral_lt_of_measure_lt h ε0.ne' with ⟨δ, δ0, hδ⟩
exact (hl δ δ0).mono fun i => hδ _
#align measure_theory.tendsto_set_lintegral_zero MeasureTheory.tendsto_set_lintegral_zero
theorem le_lintegral_add (f g : α → ℝ≥0∞) :
∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ ≤ ∫⁻ a, f a + g a ∂μ := by
simp only [lintegral]
refine ENNReal.biSup_add_biSup_le' (p := fun h : α →ₛ ℝ≥0∞ => h ≤ f)
(q := fun h : α →ₛ ℝ≥0∞ => h ≤ g) ⟨0, zero_le f⟩ ⟨0, zero_le g⟩ fun f' hf' g' hg' => ?_
exact le_iSup₂_of_le (f' + g') (add_le_add hf' hg') (add_lintegral _ _).ge
#align measure_theory.le_lintegral_add MeasureTheory.le_lintegral_add
-- Use stronger lemmas `lintegral_add_left`/`lintegral_add_right` instead
theorem lintegral_add_aux {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
calc
∫⁻ a, f a + g a ∂μ =
∫⁻ a, (⨆ n, (eapprox f n : α → ℝ≥0∞) a) + ⨆ n, (eapprox g n : α → ℝ≥0∞) a ∂μ := by
simp only [iSup_eapprox_apply, hf, hg]
_ = ∫⁻ a, ⨆ n, (eapprox f n + eapprox g n : α → ℝ≥0∞) a ∂μ := by
congr; funext a
rw [ENNReal.iSup_add_iSup_of_monotone]
· simp only [Pi.add_apply]
· intro i j h
exact monotone_eapprox _ h a
· intro i j h
exact monotone_eapprox _ h a
_ = ⨆ n, (eapprox f n).lintegral μ + (eapprox g n).lintegral μ := by
rw [lintegral_iSup]
· congr
funext n
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.lintegral_eq_lintegral]
simp only [Pi.add_apply, SimpleFunc.coe_add]
· measurability
· intro i j h a
dsimp
gcongr <;> exact monotone_eapprox _ h _
_ = (⨆ n, (eapprox f n).lintegral μ) + ⨆ n, (eapprox g n).lintegral μ := by
refine (ENNReal.iSup_add_iSup_of_monotone ?_ ?_).symm <;>
· intro i j h
exact SimpleFunc.lintegral_mono (monotone_eapprox _ h) le_rfl
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_eq_iSup_eapprox_lintegral hf, lintegral_eq_iSup_eapprox_lintegral hg]
#align measure_theory.lintegral_add_aux MeasureTheory.lintegral_add_aux
@[simp]
theorem lintegral_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
refine le_antisymm ?_ (le_lintegral_add _ _)
rcases exists_measurable_le_lintegral_eq μ fun a => f a + g a with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ a, f a + g a ∂μ = ∫⁻ a, φ a ∂μ := hφ_eq
_ ≤ ∫⁻ a, f a + (φ a - f a) ∂μ := lintegral_mono fun a => le_add_tsub
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, φ a - f a ∂μ := lintegral_add_aux hf (hφm.sub hf)
_ ≤ ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
add_le_add_left (lintegral_mono fun a => tsub_le_iff_left.2 <| hφ_le a) _
#align measure_theory.lintegral_add_left MeasureTheory.lintegral_add_left
theorem lintegral_add_left' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_congr_ae hf.ae_eq_mk, ← lintegral_add_left hf.measurable_mk,
lintegral_congr_ae (hf.ae_eq_mk.add (ae_eq_refl g))]
#align measure_theory.lintegral_add_left' MeasureTheory.lintegral_add_left'
theorem lintegral_add_right' (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
simpa only [add_comm] using lintegral_add_left' hg f
#align measure_theory.lintegral_add_right' MeasureTheory.lintegral_add_right'
@[simp]
theorem lintegral_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
lintegral_add_right' f hg.aemeasurable
#align measure_theory.lintegral_add_right MeasureTheory.lintegral_add_right
@[simp]
theorem lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂c • μ = c * ∫⁻ a, f a ∂μ := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_smul, ENNReal.mul_iSup, smul_eq_mul]
#align measure_theory.lintegral_smul_measure MeasureTheory.lintegral_smul_measure
lemma set_lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a in s, f a ∂(c • μ) = c * ∫⁻ a in s, f a ∂μ := by
rw [Measure.restrict_smul, lintegral_smul_measure]
@[simp]
theorem lintegral_sum_measure {m : MeasurableSpace α} {ι} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
∫⁻ a, f a ∂Measure.sum μ = ∑' i, ∫⁻ a, f a ∂μ i := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_sum, ENNReal.tsum_eq_iSup_sum]
rw [iSup_comm]
congr; funext s
induction' s using Finset.induction_on with i s hi hs
· simp
simp only [Finset.sum_insert hi, ← hs]
refine (ENNReal.iSup_add_iSup ?_).symm
intro φ ψ
exact
⟨⟨φ ⊔ ψ, fun x => sup_le (φ.2 x) (ψ.2 x)⟩,
add_le_add (SimpleFunc.lintegral_mono le_sup_left le_rfl)
(Finset.sum_le_sum fun j _ => SimpleFunc.lintegral_mono le_sup_right le_rfl)⟩
#align measure_theory.lintegral_sum_measure MeasureTheory.lintegral_sum_measure
theorem hasSum_lintegral_measure {ι} {_ : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
HasSum (fun i => ∫⁻ a, f a ∂μ i) (∫⁻ a, f a ∂Measure.sum μ) :=
(lintegral_sum_measure f μ).symm ▸ ENNReal.summable.hasSum
#align measure_theory.has_sum_lintegral_measure MeasureTheory.hasSum_lintegral_measure
@[simp]
theorem lintegral_add_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ ν : Measure α) :
∫⁻ a, f a ∂(μ + ν) = ∫⁻ a, f a ∂μ + ∫⁻ a, f a ∂ν := by
simpa [tsum_fintype] using lintegral_sum_measure f fun b => cond b μ ν
#align measure_theory.lintegral_add_measure MeasureTheory.lintegral_add_measure
@[simp]
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 621 | 624 | theorem lintegral_finset_sum_measure {ι} {m : MeasurableSpace α} (s : Finset ι) (f : α → ℝ≥0∞)
(μ : ι → Measure α) : ∫⁻ a, f a ∂(∑ i ∈ s, μ i) = ∑ i ∈ s, ∫⁻ a, f a ∂μ i := by |
rw [← Measure.sum_coe_finset, lintegral_sum_measure, ← Finset.tsum_subtype']
simp only [Finset.coe_sort_coe]
|
import Mathlib.Algebra.Bounds
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Data.Real.Basic
import Mathlib.Order.Interval.Set.Disjoint
#align_import data.real.basic from "leanprover-community/mathlib"@"cb42593171ba005beaaf4549fcfe0dece9ada4c9"
open scoped Classical
open Pointwise CauSeq
namespace Real
instance instArchimedean : Archimedean ℝ :=
archimedean_iff_rat_le.2 fun x =>
Real.ind_mk x fun f =>
let ⟨M, _, H⟩ := f.bounded' 0
⟨M, mk_le_of_forall_le ⟨0, fun i _ => Rat.cast_le.2 <| le_of_lt (abs_lt.1 (H i)).2⟩⟩
#align real.archimedean Real.instArchimedean
noncomputable instance : FloorRing ℝ :=
Archimedean.floorRing _
theorem isCauSeq_iff_lift {f : ℕ → ℚ} : IsCauSeq abs f ↔ IsCauSeq abs fun i => (f i : ℝ) where
mp H ε ε0 :=
let ⟨δ, δ0, δε⟩ := exists_pos_rat_lt ε0
(H _ δ0).imp fun i hi j ij => by dsimp; exact lt_trans (mod_cast hi _ ij) δε
mpr H ε ε0 :=
(H _ (Rat.cast_pos.2 ε0)).imp fun i hi j ij => by dsimp at hi; exact mod_cast hi _ ij
#align real.is_cau_seq_iff_lift Real.isCauSeq_iff_lift
theorem of_near (f : ℕ → ℚ) (x : ℝ) (h : ∀ ε > 0, ∃ i, ∀ j ≥ i, |(f j : ℝ) - x| < ε) :
∃ h', Real.mk ⟨f, h'⟩ = x :=
⟨isCauSeq_iff_lift.2 (CauSeq.of_near _ (const abs x) h),
sub_eq_zero.1 <|
abs_eq_zero.1 <|
(eq_of_le_of_forall_le_of_dense (abs_nonneg _)) fun _ε ε0 =>
mk_near_of_forall_near <| (h _ ε0).imp fun _i h j ij => le_of_lt (h j ij)⟩
#align real.of_near Real.of_near
theorem exists_floor (x : ℝ) : ∃ ub : ℤ, (ub : ℝ) ≤ x ∧ ∀ z : ℤ, (z : ℝ) ≤ x → z ≤ ub :=
Int.exists_greatest_of_bdd
(let ⟨n, hn⟩ := exists_int_gt x
⟨n, fun _ h' => Int.cast_le.1 <| le_trans h' <| le_of_lt hn⟩)
(let ⟨n, hn⟩ := exists_int_lt x
⟨n, le_of_lt hn⟩)
#align real.exists_floor Real.exists_floor
theorem exists_isLUB {S : Set ℝ} (hne : S.Nonempty) (hbdd : BddAbove S) : ∃ x, IsLUB S x := by
rcases hne, hbdd with ⟨⟨L, hL⟩, ⟨U, hU⟩⟩
have : ∀ d : ℕ, BddAbove { m : ℤ | ∃ y ∈ S, (m : ℝ) ≤ y * d } := by
cases' exists_int_gt U with k hk
refine fun d => ⟨k * d, fun z h => ?_⟩
rcases h with ⟨y, yS, hy⟩
refine Int.cast_le.1 (hy.trans ?_)
push_cast
exact mul_le_mul_of_nonneg_right ((hU yS).trans hk.le) d.cast_nonneg
choose f hf using fun d : ℕ =>
Int.exists_greatest_of_bdd (this d) ⟨⌊L * d⌋, L, hL, Int.floor_le _⟩
have hf₁ : ∀ n > 0, ∃ y ∈ S, ((f n / n : ℚ) : ℝ) ≤ y := fun n n0 =>
let ⟨y, yS, hy⟩ := (hf n).1
⟨y, yS, by simpa using (div_le_iff (Nat.cast_pos.2 n0 : (_ : ℝ) < _)).2 hy⟩
have hf₂ : ∀ n > 0, ∀ y ∈ S, (y - ((n : ℕ) : ℝ)⁻¹) < (f n / n : ℚ) := by
intro n n0 y yS
have := (Int.sub_one_lt_floor _).trans_le (Int.cast_le.2 <| (hf n).2 _ ⟨y, yS, Int.floor_le _⟩)
simp only [Rat.cast_div, Rat.cast_intCast, Rat.cast_natCast, gt_iff_lt]
rwa [lt_div_iff (Nat.cast_pos.2 n0 : (_ : ℝ) < _), sub_mul, _root_.inv_mul_cancel]
exact ne_of_gt (Nat.cast_pos.2 n0)
have hg : IsCauSeq abs (fun n => f n / n : ℕ → ℚ) := by
intro ε ε0
suffices ∀ j ≥ ⌈ε⁻¹⌉₊, ∀ k ≥ ⌈ε⁻¹⌉₊, (f j / j - f k / k : ℚ) < ε by
refine ⟨_, fun j ij => abs_lt.2 ⟨?_, this _ ij _ le_rfl⟩⟩
rw [neg_lt, neg_sub]
exact this _ le_rfl _ ij
intro j ij k ik
replace ij := le_trans (Nat.le_ceil _) (Nat.cast_le.2 ij)
replace ik := le_trans (Nat.le_ceil _) (Nat.cast_le.2 ik)
have j0 := Nat.cast_pos.1 ((inv_pos.2 ε0).trans_le ij)
have k0 := Nat.cast_pos.1 ((inv_pos.2 ε0).trans_le ik)
rcases hf₁ _ j0 with ⟨y, yS, hy⟩
refine lt_of_lt_of_le ((Rat.cast_lt (K := ℝ)).1 ?_) ((inv_le ε0 (Nat.cast_pos.2 k0)).1 ik)
simpa using sub_lt_iff_lt_add'.2 (lt_of_le_of_lt hy <| sub_lt_iff_lt_add.1 <| hf₂ _ k0 _ yS)
let g : CauSeq ℚ abs := ⟨fun n => f n / n, hg⟩
refine ⟨mk g, ⟨fun x xS => ?_, fun y h => ?_⟩⟩
· refine le_of_forall_ge_of_dense fun z xz => ?_
cases' exists_nat_gt (x - z)⁻¹ with K hK
refine le_mk_of_forall_le ⟨K, fun n nK => ?_⟩
replace xz := sub_pos.2 xz
replace hK := hK.le.trans (Nat.cast_le.2 nK)
have n0 : 0 < n := Nat.cast_pos.1 ((inv_pos.2 xz).trans_le hK)
refine le_trans ?_ (hf₂ _ n0 _ xS).le
rwa [le_sub_comm, inv_le (Nat.cast_pos.2 n0 : (_ : ℝ) < _) xz]
· exact
mk_le_of_forall_le
⟨1, fun n n1 =>
let ⟨x, xS, hx⟩ := hf₁ _ n1
le_trans hx (h xS)⟩
#align real.exists_is_lub Real.exists_isLUB
theorem exists_isGLB {S : Set ℝ} (hne : S.Nonempty) (hbdd : BddBelow S) : ∃ x, IsGLB S x := by
have hne' : (-S).Nonempty := Set.nonempty_neg.mpr hne
have hbdd' : BddAbove (-S) := bddAbove_neg.mpr hbdd
use -Classical.choose (Real.exists_isLUB hne' hbdd')
rw [← isLUB_neg]
exact Classical.choose_spec (Real.exists_isLUB hne' hbdd')
noncomputable instance : SupSet ℝ :=
⟨fun S => if h : S.Nonempty ∧ BddAbove S then Classical.choose (exists_isLUB h.1 h.2) else 0⟩
theorem sSup_def (S : Set ℝ) :
sSup S = if h : S.Nonempty ∧ BddAbove S then Classical.choose (exists_isLUB h.1 h.2) else 0 :=
rfl
#align real.Sup_def Real.sSup_def
protected theorem isLUB_sSup (S : Set ℝ) (h₁ : S.Nonempty) (h₂ : BddAbove S) :
IsLUB S (sSup S) := by
simp only [sSup_def, dif_pos (And.intro h₁ h₂)]
apply Classical.choose_spec
#align real.is_lub_Sup Real.isLUB_sSup
noncomputable instance : InfSet ℝ :=
⟨fun S => -sSup (-S)⟩
theorem sInf_def (S : Set ℝ) : sInf S = -sSup (-S) :=
rfl
#align real.Inf_def Real.sInf_def
protected theorem is_glb_sInf (S : Set ℝ) (h₁ : S.Nonempty) (h₂ : BddBelow S) :
IsGLB S (sInf S) := by
rw [sInf_def, ← isLUB_neg', neg_neg]
exact Real.isLUB_sSup _ h₁.neg h₂.neg
#align real.is_glb_Inf Real.is_glb_sInf
noncomputable instance : ConditionallyCompleteLinearOrder ℝ :=
{ Real.linearOrder, Real.lattice with
sSup := SupSet.sSup
sInf := InfSet.sInf
le_csSup := fun s a hs ha => (Real.isLUB_sSup s ⟨a, ha⟩ hs).1 ha
csSup_le := fun s a hs ha => (Real.isLUB_sSup s hs ⟨a, ha⟩).2 ha
csInf_le := fun s a hs ha => (Real.is_glb_sInf s ⟨a, ha⟩ hs).1 ha
le_csInf := fun s a hs ha => (Real.is_glb_sInf s hs ⟨a, ha⟩).2 ha
csSup_of_not_bddAbove := fun s hs ↦ by simp [hs, sSup_def]
csInf_of_not_bddBelow := fun s hs ↦ by simp [hs, sInf_def, sSup_def] }
theorem lt_sInf_add_pos {s : Set ℝ} (h : s.Nonempty) {ε : ℝ} (hε : 0 < ε) :
∃ a ∈ s, a < sInf s + ε :=
exists_lt_of_csInf_lt h <| lt_add_of_pos_right _ hε
#align real.lt_Inf_add_pos Real.lt_sInf_add_pos
theorem add_neg_lt_sSup {s : Set ℝ} (h : s.Nonempty) {ε : ℝ} (hε : ε < 0) :
∃ a ∈ s, sSup s + ε < a :=
exists_lt_of_lt_csSup h <| add_lt_iff_neg_left.2 hε
#align real.add_neg_lt_Sup Real.add_neg_lt_sSup
theorem sInf_le_iff {s : Set ℝ} (h : BddBelow s) (h' : s.Nonempty) {a : ℝ} :
sInf s ≤ a ↔ ∀ ε, 0 < ε → ∃ x ∈ s, x < a + ε := by
rw [le_iff_forall_pos_lt_add]
constructor <;> intro H ε ε_pos
· exact exists_lt_of_csInf_lt h' (H ε ε_pos)
· rcases H ε ε_pos with ⟨x, x_in, hx⟩
exact csInf_lt_of_lt h x_in hx
#align real.Inf_le_iff Real.sInf_le_iff
theorem le_sSup_iff {s : Set ℝ} (h : BddAbove s) (h' : s.Nonempty) {a : ℝ} :
a ≤ sSup s ↔ ∀ ε, ε < 0 → ∃ x ∈ s, a + ε < x := by
rw [le_iff_forall_pos_lt_add]
refine ⟨fun H ε ε_neg => ?_, fun H ε ε_pos => ?_⟩
· exact exists_lt_of_lt_csSup h' (lt_sub_iff_add_lt.mp (H _ (neg_pos.mpr ε_neg)))
· rcases H _ (neg_lt_zero.mpr ε_pos) with ⟨x, x_in, hx⟩
exact sub_lt_iff_lt_add.mp (lt_csSup_of_lt h x_in hx)
#align real.le_Sup_iff Real.le_sSup_iff
@[simp]
theorem sSup_empty : sSup (∅ : Set ℝ) = 0 :=
dif_neg <| by simp
#align real.Sup_empty Real.sSup_empty
@[simp] lemma iSup_of_isEmpty {α : Sort*} [IsEmpty α] (f : α → ℝ) : ⨆ i, f i = 0 := by
dsimp [iSup]
convert Real.sSup_empty
rw [Set.range_eq_empty_iff]
infer_instance
#align real.csupr_empty Real.iSup_of_isEmpty
@[simp]
theorem ciSup_const_zero {α : Sort*} : ⨆ _ : α, (0 : ℝ) = 0 := by
cases isEmpty_or_nonempty α
· exact Real.iSup_of_isEmpty _
· exact ciSup_const
#align real.csupr_const_zero Real.ciSup_const_zero
theorem sSup_of_not_bddAbove {s : Set ℝ} (hs : ¬BddAbove s) : sSup s = 0 :=
dif_neg fun h => hs h.2
#align real.Sup_of_not_bdd_above Real.sSup_of_not_bddAbove
theorem iSup_of_not_bddAbove {α : Sort*} {f : α → ℝ} (hf : ¬BddAbove (Set.range f)) :
⨆ i, f i = 0 :=
sSup_of_not_bddAbove hf
#align real.supr_of_not_bdd_above Real.iSup_of_not_bddAbove
theorem sSup_univ : sSup (@Set.univ ℝ) = 0 := Real.sSup_of_not_bddAbove not_bddAbove_univ
#align real.Sup_univ Real.sSup_univ
@[simp]
theorem sInf_empty : sInf (∅ : Set ℝ) = 0 := by simp [sInf_def, sSup_empty]
#align real.Inf_empty Real.sInf_empty
@[simp] nonrec lemma iInf_of_isEmpty {α : Sort*} [IsEmpty α] (f : α → ℝ) : ⨅ i, f i = 0 := by
rw [iInf_of_isEmpty, sInf_empty]
#align real.cinfi_empty Real.iInf_of_isEmpty
@[simp]
theorem ciInf_const_zero {α : Sort*} : ⨅ _ : α, (0 : ℝ) = 0 := by
cases isEmpty_or_nonempty α
· exact Real.iInf_of_isEmpty _
· exact ciInf_const
#align real.cinfi_const_zero Real.ciInf_const_zero
theorem sInf_of_not_bddBelow {s : Set ℝ} (hs : ¬BddBelow s) : sInf s = 0 :=
neg_eq_zero.2 <| sSup_of_not_bddAbove <| mt bddAbove_neg.1 hs
#align real.Inf_of_not_bdd_below Real.sInf_of_not_bddBelow
theorem iInf_of_not_bddBelow {α : Sort*} {f : α → ℝ} (hf : ¬BddBelow (Set.range f)) :
⨅ i, f i = 0 :=
sInf_of_not_bddBelow hf
#align real.infi_of_not_bdd_below Real.iInf_of_not_bddBelow
theorem sSup_nonneg (S : Set ℝ) (hS : ∀ x ∈ S, (0 : ℝ) ≤ x) : 0 ≤ sSup S := by
rcases S.eq_empty_or_nonempty with (rfl | ⟨y, hy⟩)
· exact sSup_empty.ge
· apply dite _ (fun h => le_csSup_of_le h hy <| hS y hy) fun h => (sSup_of_not_bddAbove h).ge
#align real.Sup_nonneg Real.sSup_nonneg
protected theorem iSup_nonneg {ι : Sort*} {f : ι → ℝ} (hf : ∀ i, 0 ≤ f i) : 0 ≤ ⨆ i, f i :=
sSup_nonneg _ <| Set.forall_mem_range.2 hf
#align real.supr_nonneg Real.iSup_nonneg
protected theorem sSup_le {S : Set ℝ} {a : ℝ} (hS : ∀ x ∈ S, x ≤ a) (ha : 0 ≤ a) : sSup S ≤ a := by
rcases S.eq_empty_or_nonempty with (rfl | hS₂)
exacts [sSup_empty.trans_le ha, csSup_le hS₂ hS]
#align real.Sup_le Real.sSup_le
protected theorem iSup_le {ι : Sort*} {f : ι → ℝ} {a : ℝ} (hS : ∀ i, f i ≤ a) (ha : 0 ≤ a) :
⨆ i, f i ≤ a :=
Real.sSup_le (Set.forall_mem_range.2 hS) ha
#align real.supr_le Real.iSup_le
theorem sSup_nonpos (S : Set ℝ) (hS : ∀ x ∈ S, x ≤ (0 : ℝ)) : sSup S ≤ 0 :=
Real.sSup_le hS le_rfl
#align real.Sup_nonpos Real.sSup_nonpos
theorem sInf_nonneg (S : Set ℝ) (hS : ∀ x ∈ S, (0 : ℝ) ≤ x) : 0 ≤ sInf S := by
rcases S.eq_empty_or_nonempty with (rfl | hS₂)
exacts [sInf_empty.ge, le_csInf hS₂ hS]
#align real.Inf_nonneg Real.sInf_nonneg
theorem iInf_nonneg {ι} {f : ι → ℝ} (hf : ∀ i, 0 ≤ f i) : 0 ≤ iInf f :=
sInf_nonneg _ <| Set.forall_mem_range.2 hf
theorem sInf_nonpos (S : Set ℝ) (hS : ∀ x ∈ S, x ≤ (0 : ℝ)) : sInf S ≤ 0 := by
rcases S.eq_empty_or_nonempty with (rfl | ⟨y, hy⟩)
· exact sInf_empty.le
· apply dite _ (fun h => csInf_le_of_le h hy <| hS y hy) fun h => (sInf_of_not_bddBelow h).le
#align real.Inf_nonpos Real.sInf_nonpos
theorem sInf_le_sSup (s : Set ℝ) (h₁ : BddBelow s) (h₂ : BddAbove s) : sInf s ≤ sSup s := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· rw [sInf_empty, sSup_empty]
· exact csInf_le_csSup h₁ h₂ hne
#align real.Inf_le_Sup Real.sInf_le_sSup
theorem cauSeq_converges (f : CauSeq ℝ abs) : ∃ x, f ≈ const abs x := by
let S := { x : ℝ | const abs x < f }
have lb : ∃ x, x ∈ S := exists_lt f
have ub' : ∀ x, f < const abs x → ∀ y ∈ S, y ≤ x := fun x h y yS =>
le_of_lt <| const_lt.1 <| CauSeq.lt_trans yS h
have ub : ∃ x, ∀ y ∈ S, y ≤ x := (exists_gt f).imp ub'
refine ⟨sSup S, ((lt_total _ _).resolve_left fun h => ?_).resolve_right fun h => ?_⟩
· rcases h with ⟨ε, ε0, i, ih⟩
refine (csSup_le lb (ub' _ ?_)).not_lt (sub_lt_self _ (half_pos ε0))
refine ⟨_, half_pos ε0, i, fun j ij => ?_⟩
rw [sub_apply, const_apply, sub_right_comm, le_sub_iff_add_le, add_halves]
exact ih _ ij
· rcases h with ⟨ε, ε0, i, ih⟩
refine (le_csSup ub ?_).not_lt ((lt_add_iff_pos_left _).2 (half_pos ε0))
refine ⟨_, half_pos ε0, i, fun j ij => ?_⟩
rw [sub_apply, const_apply, add_comm, ← sub_sub, le_sub_iff_add_le, add_halves]
exact ih _ ij
#align real.cau_seq_converges Real.cauSeq_converges
instance : CauSeq.IsComplete ℝ abs :=
⟨cauSeq_converges⟩
open Set
| Mathlib/Data/Real/Archimedean.lean | 332 | 353 | theorem iInf_Ioi_eq_iInf_rat_gt {f : ℝ → ℝ} (x : ℝ) (hf : BddBelow (f '' Ioi x))
(hf_mono : Monotone f) : ⨅ r : Ioi x, f r = ⨅ q : { q' : ℚ // x < q' }, f q := by |
refine le_antisymm ?_ ?_
· have : Nonempty { r' : ℚ // x < ↑r' } := by
obtain ⟨r, hrx⟩ := exists_rat_gt x
exact ⟨⟨r, hrx⟩⟩
refine le_ciInf fun r => ?_
obtain ⟨y, hxy, hyr⟩ := exists_rat_btwn r.prop
refine ciInf_set_le hf (hxy.trans ?_)
exact_mod_cast hyr
· refine le_ciInf fun q => ?_
have hq := q.prop
rw [mem_Ioi] at hq
obtain ⟨y, hxy, hyq⟩ := exists_rat_btwn hq
refine (ciInf_le ?_ ?_).trans ?_
· refine ⟨hf.some, fun z => ?_⟩
rintro ⟨u, rfl⟩
suffices hfu : f u ∈ f '' Ioi x from hf.choose_spec hfu
exact ⟨u, u.prop, rfl⟩
· exact ⟨y, hxy⟩
· refine hf_mono (le_trans ?_ hyq.le)
norm_cast
|
import Mathlib.Data.Set.Prod
#align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654"
open Function
namespace Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ}
variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ}
{d d' : δ}
theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t :=
⟨by
rintro ⟨a', ha', b', hb', h⟩
rcases hf h with ⟨rfl, rfl⟩
exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩
#align set.mem_image2_iff Set.mem_image2_iff
theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by
rintro _ ⟨a, ha, b, hb, rfl⟩
exact mem_image2_of_mem (hs ha) (ht hb)
#align set.image2_subset Set.image2_subset
theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' :=
image2_subset Subset.rfl ht
#align set.image2_subset_left Set.image2_subset_left
theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t :=
image2_subset hs Subset.rfl
#align set.image2_subset_right Set.image2_subset_right
theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t :=
forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb
#align set.image_subset_image2_left Set.image_subset_image2_left
theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t :=
forall_mem_image.2 fun _ => mem_image2_of_mem ha
#align set.image_subset_image2_right Set.image_subset_image2_right
theorem forall_image2_iff {p : γ → Prop} :
(∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) :=
⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩
#align set.forall_image2_iff Set.forall_image2_iff
@[simp]
theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image2_iff
#align set.image2_subset_iff Set.image2_subset_iff
theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage]
#align set.image2_subset_iff_left Set.image2_subset_iff_left
theorem image2_subset_iff_right : image2 f s t ⊆ u ↔ ∀ b ∈ t, (fun a => f a b) '' s ⊆ u := by
simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage, @forall₂_swap α]
#align set.image2_subset_iff_right Set.image2_subset_iff_right
variable (f)
-- Porting note: Removing `simp` - LHS does not simplify
lemma image_prod : (fun x : α × β ↦ f x.1 x.2) '' s ×ˢ t = image2 f s t :=
ext fun _ ↦ by simp [and_assoc]
#align set.image_prod Set.image_prod
@[simp] lemma image_uncurry_prod (s : Set α) (t : Set β) : uncurry f '' s ×ˢ t = image2 f s t :=
image_prod _
#align set.image_uncurry_prod Set.image_uncurry_prod
@[simp] lemma image2_mk_eq_prod : image2 Prod.mk s t = s ×ˢ t := ext <| by simp
#align set.image2_mk_eq_prod Set.image2_mk_eq_prod
-- Porting note: Removing `simp` - LHS does not simplify
lemma image2_curry (f : α × β → γ) (s : Set α) (t : Set β) :
image2 (fun a b ↦ f (a, b)) s t = f '' s ×ˢ t := by
simp [← image_uncurry_prod, uncurry]
#align set.image2_curry Set.image2_curry
theorem image2_swap (s : Set α) (t : Set β) : image2 f s t = image2 (fun a b => f b a) t s := by
ext
constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨b, hb, a, ha, rfl⟩
#align set.image2_swap Set.image2_swap
variable {f}
theorem image2_union_left : image2 f (s ∪ s') t = image2 f s t ∪ image2 f s' t := by
simp_rw [← image_prod, union_prod, image_union]
#align set.image2_union_left Set.image2_union_left
theorem image2_union_right : image2 f s (t ∪ t') = image2 f s t ∪ image2 f s t' := by
rw [← image2_swap, image2_union_left, image2_swap f, image2_swap f]
#align set.image2_union_right Set.image2_union_right
lemma image2_inter_left (hf : Injective2 f) :
image2 f (s ∩ s') t = image2 f s t ∩ image2 f s' t := by
simp_rw [← image_uncurry_prod, inter_prod, image_inter hf.uncurry]
#align set.image2_inter_left Set.image2_inter_left
lemma image2_inter_right (hf : Injective2 f) :
image2 f s (t ∩ t') = image2 f s t ∩ image2 f s t' := by
simp_rw [← image_uncurry_prod, prod_inter, image_inter hf.uncurry]
#align set.image2_inter_right Set.image2_inter_right
@[simp]
theorem image2_empty_left : image2 f ∅ t = ∅ :=
ext <| by simp
#align set.image2_empty_left Set.image2_empty_left
@[simp]
theorem image2_empty_right : image2 f s ∅ = ∅ :=
ext <| by simp
#align set.image2_empty_right Set.image2_empty_right
theorem Nonempty.image2 : s.Nonempty → t.Nonempty → (image2 f s t).Nonempty :=
fun ⟨_, ha⟩ ⟨_, hb⟩ => ⟨_, mem_image2_of_mem ha hb⟩
#align set.nonempty.image2 Set.Nonempty.image2
@[simp]
theorem image2_nonempty_iff : (image2 f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
⟨fun ⟨_, a, ha, b, hb, _⟩ => ⟨⟨a, ha⟩, b, hb⟩, fun h => h.1.image2 h.2⟩
#align set.image2_nonempty_iff Set.image2_nonempty_iff
theorem Nonempty.of_image2_left (h : (Set.image2 f s t).Nonempty) : s.Nonempty :=
(image2_nonempty_iff.1 h).1
#align set.nonempty.of_image2_left Set.Nonempty.of_image2_left
theorem Nonempty.of_image2_right (h : (Set.image2 f s t).Nonempty) : t.Nonempty :=
(image2_nonempty_iff.1 h).2
#align set.nonempty.of_image2_right Set.Nonempty.of_image2_right
@[simp]
theorem image2_eq_empty_iff : image2 f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
rw [← not_nonempty_iff_eq_empty, image2_nonempty_iff, not_and_or]
simp [not_nonempty_iff_eq_empty]
#align set.image2_eq_empty_iff Set.image2_eq_empty_iff
theorem Subsingleton.image2 (hs : s.Subsingleton) (ht : t.Subsingleton) (f : α → β → γ) :
(image2 f s t).Subsingleton := by
rw [← image_prod]
apply (hs.prod ht).image
theorem image2_inter_subset_left : image2 f (s ∩ s') t ⊆ image2 f s t ∩ image2 f s' t :=
Monotone.map_inf_le (fun _ _ ↦ image2_subset_right) s s'
#align set.image2_inter_subset_left Set.image2_inter_subset_left
theorem image2_inter_subset_right : image2 f s (t ∩ t') ⊆ image2 f s t ∩ image2 f s t' :=
Monotone.map_inf_le (fun _ _ ↦ image2_subset_left) t t'
#align set.image2_inter_subset_right Set.image2_inter_subset_right
@[simp]
theorem image2_singleton_left : image2 f {a} t = f a '' t :=
ext fun x => by simp
#align set.image2_singleton_left Set.image2_singleton_left
@[simp]
theorem image2_singleton_right : image2 f s {b} = (fun a => f a b) '' s :=
ext fun x => by simp
#align set.image2_singleton_right Set.image2_singleton_right
theorem image2_singleton : image2 f {a} {b} = {f a b} := by simp
#align set.image2_singleton Set.image2_singleton
@[simp]
theorem image2_insert_left : image2 f (insert a s) t = (fun b => f a b) '' t ∪ image2 f s t := by
rw [insert_eq, image2_union_left, image2_singleton_left]
#align set.image2_insert_left Set.image2_insert_left
@[simp]
theorem image2_insert_right : image2 f s (insert b t) = (fun a => f a b) '' s ∪ image2 f s t := by
rw [insert_eq, image2_union_right, image2_singleton_right]
#align set.image2_insert_right Set.image2_insert_right
@[congr]
theorem image2_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image2 f s t = image2 f' s t := by
ext
constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨a, ha, b, hb, by rw [h a ha b hb]⟩
#align set.image2_congr Set.image2_congr
theorem image2_congr' (h : ∀ a b, f a b = f' a b) : image2 f s t = image2 f' s t :=
image2_congr fun a _ b _ => h a b
#align set.image2_congr' Set.image2_congr'
#noalign set.image3
#noalign set.mem_image3
#noalign set.image3_mono
#noalign set.image3_congr
#noalign set.image3_congr'
#noalign set.image2_image2_left
#noalign set.image2_image2_right
theorem image_image2 (f : α → β → γ) (g : γ → δ) :
g '' image2 f s t = image2 (fun a b => g (f a b)) s t := by
simp only [← image_prod, image_image]
#align set.image_image2 Set.image_image2
theorem image2_image_left (f : γ → β → δ) (g : α → γ) :
image2 f (g '' s) t = image2 (fun a b => f (g a) b) s t := by
ext; simp
#align set.image2_image_left Set.image2_image_left
theorem image2_image_right (f : α → γ → δ) (g : β → γ) :
image2 f s (g '' t) = image2 (fun a b => f a (g b)) s t := by
ext; simp
#align set.image2_image_right Set.image2_image_right
@[simp]
theorem image2_left (h : t.Nonempty) : image2 (fun x _ => x) s t = s := by
simp [nonempty_def.mp h, ext_iff]
#align set.image2_left Set.image2_left
@[simp]
theorem image2_right (h : s.Nonempty) : image2 (fun _ y => y) s t = t := by
simp [nonempty_def.mp h, ext_iff]
#align set.image2_right Set.image2_right
lemma image2_range (f : α' → β' → γ) (g : α → α') (h : β → β') :
image2 f (range g) (range h) = range fun x : α × β ↦ f (g x.1) (h x.2) := by
simp_rw [← image_univ, image2_image_left, image2_image_right, ← image_prod, univ_prod_univ]
theorem image2_assoc {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε} {g' : β → γ → ε'}
(h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) :
image2 f (image2 g s t) u = image2 f' s (image2 g' t u) :=
eq_of_forall_subset_iff fun _ ↦ by simp only [image2_subset_iff, forall_image2_iff, h_assoc]
#align set.image2_assoc Set.image2_assoc
theorem image2_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image2 f s t = image2 g t s :=
(image2_swap _ _ _).trans <| by simp_rw [h_comm]
#align set.image2_comm Set.image2_comm
theorem image2_left_comm {f : α → δ → ε} {g : β → γ → δ} {f' : α → γ → δ'} {g' : β → δ' → ε}
(h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) :
image2 f s (image2 g t u) = image2 g' t (image2 f' s u) := by
rw [image2_swap f', image2_swap f]
exact image2_assoc fun _ _ _ => h_left_comm _ _ _
#align set.image2_left_comm Set.image2_left_comm
theorem image2_right_comm {f : δ → γ → ε} {g : α → β → δ} {f' : α → γ → δ'} {g' : δ' → β → ε}
(h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) :
image2 f (image2 g s t) u = image2 g' (image2 f' s u) t := by
rw [image2_swap g, image2_swap g']
exact image2_assoc fun _ _ _ => h_right_comm _ _ _
#align set.image2_right_comm Set.image2_right_comm
theorem image2_image2_image2_comm {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ} {f' : ε' → ζ' → ν}
{g' : α → γ → ε'} {h' : β → δ → ζ'}
(h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) :
image2 f (image2 g s t) (image2 h u v) = image2 f' (image2 g' s u) (image2 h' t v) := by
ext; constructor
· rintro ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, rfl⟩
exact ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, (h_comm _ _ _ _).symm⟩
· rintro ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, rfl⟩
exact ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, h_comm _ _ _ _⟩
#align set.image2_image2_image2_comm Set.image2_image2_image2_comm
theorem image_image2_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) :
(image2 f s t).image g = image2 f' (s.image g₁) (t.image g₂) := by
simp_rw [image_image2, image2_image_left, image2_image_right, h_distrib]
#align set.image_image2_distrib Set.image_image2_distrib
theorem image_image2_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'}
(h_distrib : ∀ a b, g (f a b) = f' (g' a) b) :
(image2 f s t).image g = image2 f' (s.image g') t :=
(image_image2_distrib h_distrib).trans <| by rw [image_id']
#align set.image_image2_distrib_left Set.image_image2_distrib_left
theorem image_image2_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' a (g' b)) :
(image2 f s t).image g = image2 f' s (t.image g') :=
(image_image2_distrib h_distrib).trans <| by rw [image_id']
#align set.image_image2_distrib_right Set.image_image2_distrib_right
theorem image2_image_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ}
(h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) :
image2 f (s.image g) t = (image2 f' s t).image g' :=
(image_image2_distrib_left fun a b => (h_left_comm a b).symm).symm
#align set.image2_image_left_comm Set.image2_image_left_comm
theorem image_image2_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ}
(h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) :
image2 f s (t.image g) = (image2 f' s t).image g' :=
(image_image2_distrib_right fun a b => (h_right_comm a b).symm).symm
#align set.image_image2_right_comm Set.image_image2_right_comm
theorem image2_distrib_subset_left {f : α → δ → ε} {g : β → γ → δ} {f₁ : α → β → β'}
{f₂ : α → γ → γ'} {g' : β' → γ' → ε} (h_distrib : ∀ a b c, f a (g b c) = g' (f₁ a b) (f₂ a c)) :
image2 f s (image2 g t u) ⊆ image2 g' (image2 f₁ s t) (image2 f₂ s u) := by
rintro _ ⟨a, ha, _, ⟨b, hb, c, hc, rfl⟩, rfl⟩
rw [h_distrib]
exact mem_image2_of_mem (mem_image2_of_mem ha hb) (mem_image2_of_mem ha hc)
#align set.image2_distrib_subset_left Set.image2_distrib_subset_left
theorem image2_distrib_subset_right {f : δ → γ → ε} {g : α → β → δ} {f₁ : α → γ → α'}
{f₂ : β → γ → β'} {g' : α' → β' → ε} (h_distrib : ∀ a b c, f (g a b) c = g' (f₁ a c) (f₂ b c)) :
image2 f (image2 g s t) u ⊆ image2 g' (image2 f₁ s u) (image2 f₂ t u) := by
rintro _ ⟨_, ⟨a, ha, b, hb, rfl⟩, c, hc, rfl⟩
rw [h_distrib]
exact mem_image2_of_mem (mem_image2_of_mem ha hc) (mem_image2_of_mem hb hc)
#align set.image2_distrib_subset_right Set.image2_distrib_subset_right
theorem image_image2_antidistrib {g : γ → δ} {f' : β' → α' → δ} {g₁ : β → β'} {g₂ : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g₁ b) (g₂ a)) :
(image2 f s t).image g = image2 f' (t.image g₁) (s.image g₂) := by
rw [image2_swap f]
exact image_image2_distrib fun _ _ => h_antidistrib _ _
#align set.image_image2_antidistrib Set.image_image2_antidistrib
theorem image_image2_antidistrib_left {g : γ → δ} {f' : β' → α → δ} {g' : β → β'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g' b) a) :
(image2 f s t).image g = image2 f' (t.image g') s :=
(image_image2_antidistrib h_antidistrib).trans <| by rw [image_id']
#align set.image_image2_antidistrib_left Set.image_image2_antidistrib_left
theorem image_image2_antidistrib_right {g : γ → δ} {f' : β → α' → δ} {g' : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' b (g' a)) :
(image2 f s t).image g = image2 f' t (s.image g') :=
(image_image2_antidistrib h_antidistrib).trans <| by rw [image_id']
#align set.image_image2_antidistrib_right Set.image_image2_antidistrib_right
theorem image2_image_left_anticomm {f : α' → β → γ} {g : α → α'} {f' : β → α → δ} {g' : δ → γ}
(h_left_anticomm : ∀ a b, f (g a) b = g' (f' b a)) :
image2 f (s.image g) t = (image2 f' t s).image g' :=
(image_image2_antidistrib_left fun a b => (h_left_anticomm b a).symm).symm
#align set.image2_image_left_anticomm Set.image2_image_left_anticomm
theorem image_image2_right_anticomm {f : α → β' → γ} {g : β → β'} {f' : β → α → δ} {g' : δ → γ}
(h_right_anticomm : ∀ a b, f a (g b) = g' (f' b a)) :
image2 f s (t.image g) = (image2 f' t s).image g' :=
(image_image2_antidistrib_right fun a b => (h_right_anticomm b a).symm).symm
#align set.image_image2_right_anticomm Set.image_image2_right_anticomm
lemma image2_left_identity {f : α → β → β} {a : α} (h : ∀ b, f a b = b) (t : Set β) :
image2 f {a} t = t := by
rw [image2_singleton_left, show f a = id from funext h, image_id]
#align set.image2_left_identity Set.image2_left_identity
lemma image2_right_identity {f : α → β → α} {b : β} (h : ∀ a, f a b = a) (s : Set α) :
image2 f s {b} = s := by
rw [image2_singleton_right, funext h, image_id']
#align set.image2_right_identity Set.image2_right_identity
| Mathlib/Data/Set/NAry.lean | 374 | 379 | theorem image2_inter_union_subset_union :
image2 f (s ∩ s') (t ∪ t') ⊆ image2 f s t ∪ image2 f s' t' := by |
rw [image2_union_right]
exact
union_subset_union (image2_subset_right inter_subset_left)
(image2_subset_right inter_subset_right)
|
import Mathlib.SetTheory.Game.State
#align_import set_theory.game.domineering from "leanprover-community/mathlib"@"b134b2f5cf6dd25d4bbfd3c498b6e36c11a17225"
namespace SetTheory
namespace PGame
namespace Domineering
open Function
@[simps!]
def shiftUp : ℤ × ℤ ≃ ℤ × ℤ :=
(Equiv.refl ℤ).prodCongr (Equiv.addRight (1 : ℤ))
#align pgame.domineering.shift_up SetTheory.PGame.Domineering.shiftUp
@[simps!]
def shiftRight : ℤ × ℤ ≃ ℤ × ℤ :=
(Equiv.addRight (1 : ℤ)).prodCongr (Equiv.refl ℤ)
#align pgame.domineering.shift_right SetTheory.PGame.Domineering.shiftRight
-- Porting note: reducibility cannot be `local`. For now there are no dependents of this file so
-- being globally reducible is fine.
abbrev Board :=
Finset (ℤ × ℤ)
#align pgame.domineering.board SetTheory.PGame.Domineering.Board
def left (b : Board) : Finset (ℤ × ℤ) :=
b ∩ b.map shiftUp
#align pgame.domineering.left SetTheory.PGame.Domineering.left
def right (b : Board) : Finset (ℤ × ℤ) :=
b ∩ b.map shiftRight
#align pgame.domineering.right SetTheory.PGame.Domineering.right
theorem mem_left {b : Board} (x : ℤ × ℤ) : x ∈ left b ↔ x ∈ b ∧ (x.1, x.2 - 1) ∈ b :=
Finset.mem_inter.trans (and_congr Iff.rfl Finset.mem_map_equiv)
#align pgame.domineering.mem_left SetTheory.PGame.Domineering.mem_left
theorem mem_right {b : Board} (x : ℤ × ℤ) : x ∈ right b ↔ x ∈ b ∧ (x.1 - 1, x.2) ∈ b :=
Finset.mem_inter.trans (and_congr Iff.rfl Finset.mem_map_equiv)
#align pgame.domineering.mem_right SetTheory.PGame.Domineering.mem_right
def moveLeft (b : Board) (m : ℤ × ℤ) : Board :=
(b.erase m).erase (m.1, m.2 - 1)
#align pgame.domineering.move_left SetTheory.PGame.Domineering.moveLeft
def moveRight (b : Board) (m : ℤ × ℤ) : Board :=
(b.erase m).erase (m.1 - 1, m.2)
#align pgame.domineering.move_right SetTheory.PGame.Domineering.moveRight
theorem fst_pred_mem_erase_of_mem_right {b : Board} {m : ℤ × ℤ} (h : m ∈ right b) :
(m.1 - 1, m.2) ∈ b.erase m := by
rw [mem_right] at h
apply Finset.mem_erase_of_ne_of_mem _ h.2
exact ne_of_apply_ne Prod.fst (pred_ne_self m.1)
#align pgame.domineering.fst_pred_mem_erase_of_mem_right SetTheory.PGame.Domineering.fst_pred_mem_erase_of_mem_right
theorem snd_pred_mem_erase_of_mem_left {b : Board} {m : ℤ × ℤ} (h : m ∈ left b) :
(m.1, m.2 - 1) ∈ b.erase m := by
rw [mem_left] at h
apply Finset.mem_erase_of_ne_of_mem _ h.2
exact ne_of_apply_ne Prod.snd (pred_ne_self m.2)
#align pgame.domineering.snd_pred_mem_erase_of_mem_left SetTheory.PGame.Domineering.snd_pred_mem_erase_of_mem_left
| Mathlib/SetTheory/Game/Domineering.lean | 93 | 98 | theorem card_of_mem_left {b : Board} {m : ℤ × ℤ} (h : m ∈ left b) : 2 ≤ Finset.card b := by |
have w₁ : m ∈ b := (Finset.mem_inter.1 h).1
have w₂ : (m.1, m.2 - 1) ∈ b.erase m := snd_pred_mem_erase_of_mem_left h
have i₁ := Finset.card_erase_lt_of_mem w₁
have i₂ := Nat.lt_of_le_of_lt (Nat.zero_le _) (Finset.card_erase_lt_of_mem w₂)
exact Nat.lt_of_le_of_lt i₂ i₁
|
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Nat.ModEq
import Mathlib.Data.Set.Finite
#align_import combinatorics.pigeonhole from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
universe u v w
variable {α : Type u} {β : Type v} {M : Type w} [DecidableEq β]
open Nat
namespace Finset
variable {s : Finset α} {t : Finset β} {f : α → β} {w : α → M} {b : M} {n : ℕ}
section
variable [LinearOrderedCancelAddCommMonoid M]
theorem exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum (hf : ∀ a ∈ s, f a ∈ t)
(hb : t.card • b < ∑ x ∈ s, w x) : ∃ y ∈ t, b < ∑ x ∈ s.filter fun x => f x = y, w x :=
exists_lt_of_sum_lt <| by simpa only [sum_fiberwise_of_maps_to hf, sum_const]
#align finset.exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum Finset.exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum
theorem exists_sum_fiber_lt_of_maps_to_of_sum_lt_nsmul (hf : ∀ a ∈ s, f a ∈ t)
(hb : ∑ x ∈ s, w x < t.card • b) : ∃ y ∈ t, ∑ x ∈ s.filter fun x => f x = y, w x < b :=
exists_lt_sum_fiber_of_maps_to_of_nsmul_lt_sum (M := Mᵒᵈ) hf hb
#align finset.exists_sum_fiber_lt_of_maps_to_of_sum_lt_nsmul Finset.exists_sum_fiber_lt_of_maps_to_of_sum_lt_nsmul
| Mathlib/Combinatorics/Pigeonhole.lean | 134 | 141 | theorem exists_lt_sum_fiber_of_sum_fiber_nonpos_of_nsmul_lt_sum
(ht : ∀ y ∉ t, ∑ x ∈ s.filter fun x => f x = y, w x ≤ 0)
(hb : t.card • b < ∑ x ∈ s, w x) : ∃ y ∈ t, b < ∑ x ∈ s.filter fun x => f x = y, w x :=
exists_lt_of_sum_lt <|
calc
∑ _y ∈ t, b < ∑ x ∈ s, w x := by | simpa
_ ≤ ∑ y ∈ t, ∑ x ∈ s.filter fun x => f x = y, w x :=
sum_le_sum_fiberwise_of_sum_fiber_nonpos ht
|
import Mathlib.Data.Complex.Basic
import Mathlib.MeasureTheory.Integral.CircleIntegral
#align_import measure_theory.integral.circle_transform from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15"
open Set MeasureTheory Metric Filter Function
open scoped Interval Real
noncomputable section
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] (R : ℝ) (z w : ℂ)
namespace Complex
def circleTransform (f : ℂ → E) (θ : ℝ) : E :=
(2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • (circleMap z R θ - w)⁻¹ • f (circleMap z R θ)
#align complex.circle_transform Complex.circleTransform
def circleTransformDeriv (f : ℂ → E) (θ : ℝ) : E :=
(2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • ((circleMap z R θ - w) ^ 2)⁻¹ • f (circleMap z R θ)
#align complex.circle_transform_deriv Complex.circleTransformDeriv
theorem circleTransformDeriv_periodic (f : ℂ → E) :
Periodic (circleTransformDeriv R z w f) (2 * π) := by
have := periodic_circleMap
simp_rw [Periodic] at *
intro x
simp_rw [circleTransformDeriv, this]
congr 2
simp [this]
#align complex.circle_transform_deriv_periodic Complex.circleTransformDeriv_periodic
theorem circleTransformDeriv_eq (f : ℂ → E) : circleTransformDeriv R z w f =
fun θ => (circleMap z R θ - w)⁻¹ • circleTransform R z w f θ := by
ext
simp_rw [circleTransformDeriv, circleTransform, ← mul_smul, ← mul_assoc]
ring_nf
rw [inv_pow]
congr
ring
#align complex.circle_transform_deriv_eq Complex.circleTransformDeriv_eq
| Mathlib/MeasureTheory/Integral/CircleTransform.lean | 68 | 72 | theorem integral_circleTransform (f : ℂ → E) :
(∫ θ : ℝ in (0)..2 * π, circleTransform R z w f θ) =
(2 * ↑π * I)⁻¹ • ∮ z in C(z, R), (z - w)⁻¹ • f z := by |
simp_rw [circleTransform, circleIntegral, deriv_circleMap, circleMap]
simp
|
import Mathlib.Algebra.ContinuedFractions.Basic
import Mathlib.Algebra.GroupWithZero.Basic
#align_import algebra.continued_fractions.translations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace GeneralizedContinuedFraction
section General
variable {α : Type*} {g : GeneralizedContinuedFraction α} {n : ℕ}
theorem terminatedAt_iff_s_terminatedAt : g.TerminatedAt n ↔ g.s.TerminatedAt n := by rfl
#align generalized_continued_fraction.terminated_at_iff_s_terminated_at GeneralizedContinuedFraction.terminatedAt_iff_s_terminatedAt
theorem terminatedAt_iff_s_none : g.TerminatedAt n ↔ g.s.get? n = none := by rfl
#align generalized_continued_fraction.terminated_at_iff_s_none GeneralizedContinuedFraction.terminatedAt_iff_s_none
theorem part_num_none_iff_s_none : g.partialNumerators.get? n = none ↔ g.s.get? n = none := by
cases s_nth_eq : g.s.get? n <;> simp [partialNumerators, s_nth_eq]
#align generalized_continued_fraction.part_num_none_iff_s_none GeneralizedContinuedFraction.part_num_none_iff_s_none
| Mathlib/Algebra/ContinuedFractions/Translations.lean | 45 | 46 | theorem terminatedAt_iff_part_num_none : g.TerminatedAt n ↔ g.partialNumerators.get? n = none := by |
rw [terminatedAt_iff_s_none, part_num_none_iff_s_none]
|
import Mathlib.Algebra.Ring.Prod
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.Tactic.FinCases
#align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7"
assert_not_exists Submodule
open Function
namespace ZMod
instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ)
def val : ∀ {n : ℕ}, ZMod n → ℕ
| 0 => Int.natAbs
| n + 1 => ((↑) : Fin (n + 1) → ℕ)
#align zmod.val ZMod.val
theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by
cases n
· cases NeZero.ne 0 rfl
exact Fin.is_lt a
#align zmod.val_lt ZMod.val_lt
theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n :=
a.val_lt.le
#align zmod.val_le ZMod.val_le
@[simp]
theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0
| 0 => rfl
| _ + 1 => rfl
#align zmod.val_zero ZMod.val_zero
@[simp]
theorem val_one' : (1 : ZMod 0).val = 1 :=
rfl
#align zmod.val_one' ZMod.val_one'
@[simp]
theorem val_neg' {n : ZMod 0} : (-n).val = n.val :=
Int.natAbs_neg n
#align zmod.val_neg' ZMod.val_neg'
@[simp]
theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val :=
Int.natAbs_mul m n
#align zmod.val_mul' ZMod.val_mul'
@[simp]
theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by
cases n
· rw [Nat.mod_zero]
exact Int.natAbs_ofNat a
· apply Fin.val_natCast
#align zmod.val_nat_cast ZMod.val_natCast
@[deprecated (since := "2024-04-17")]
alias val_nat_cast := val_natCast
| Mathlib/Data/ZMod/Basic.lean | 94 | 96 | theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by |
simp only [val]
rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one]
|
import Mathlib.Algebra.Order.Monoid.Defs
import Mathlib.Algebra.Order.Sub.Defs
import Mathlib.Util.AssertExists
#align_import algebra.order.group.defs from "leanprover-community/mathlib"@"b599f4e4e5cf1fbcb4194503671d3d9e569c1fce"
open Function
universe u
variable {α : Type u}
class OrderedAddCommGroup (α : Type u) extends AddCommGroup α, PartialOrder α where
protected add_le_add_left : ∀ a b : α, a ≤ b → ∀ c : α, c + a ≤ c + b
#align ordered_add_comm_group OrderedAddCommGroup
class OrderedCommGroup (α : Type u) extends CommGroup α, PartialOrder α where
protected mul_le_mul_left : ∀ a b : α, a ≤ b → ∀ c : α, c * a ≤ c * b
#align ordered_comm_group OrderedCommGroup
attribute [to_additive] OrderedCommGroup
@[to_additive]
instance OrderedCommGroup.to_covariantClass_left_le (α : Type u) [OrderedCommGroup α] :
CovariantClass α α (· * ·) (· ≤ ·) where
elim a b c bc := OrderedCommGroup.mul_le_mul_left b c bc a
#align ordered_comm_group.to_covariant_class_left_le OrderedCommGroup.to_covariantClass_left_le
#align ordered_add_comm_group.to_covariant_class_left_le OrderedAddCommGroup.to_covariantClass_left_le
-- See note [lower instance priority]
@[to_additive OrderedAddCommGroup.toOrderedCancelAddCommMonoid]
instance (priority := 100) OrderedCommGroup.toOrderedCancelCommMonoid [OrderedCommGroup α] :
OrderedCancelCommMonoid α :=
{ ‹OrderedCommGroup α› with le_of_mul_le_mul_left := fun a b c ↦ le_of_mul_le_mul_left' }
#align ordered_comm_group.to_ordered_cancel_comm_monoid OrderedCommGroup.toOrderedCancelCommMonoid
#align ordered_add_comm_group.to_ordered_cancel_add_comm_monoid OrderedAddCommGroup.toOrderedCancelAddCommMonoid
example (α : Type u) [OrderedAddCommGroup α] : CovariantClass α α (swap (· + ·)) (· < ·) :=
IsRightCancelAdd.covariant_swap_add_lt_of_covariant_swap_add_le α
-- Porting note: this instance is not used,
-- and causes timeouts after lean4#2210.
-- It was introduced in https://github.com/leanprover-community/mathlib/pull/17564
-- but without the motivation clearly explained.
@[to_additive "A choice-free shortcut instance."]
theorem OrderedCommGroup.to_contravariantClass_left_le (α : Type u) [OrderedCommGroup α] :
ContravariantClass α α (· * ·) (· ≤ ·) where
elim a b c bc := by simpa using mul_le_mul_left' bc a⁻¹
#align ordered_comm_group.to_contravariant_class_left_le OrderedCommGroup.to_contravariantClass_left_le
#align ordered_add_comm_group.to_contravariant_class_left_le OrderedAddCommGroup.to_contravariantClass_left_le
-- Porting note: this instance is not used,
-- and causes timeouts after lean4#2210.
-- See further explanation on `OrderedCommGroup.to_contravariantClass_left_le`.
@[to_additive "A choice-free shortcut instance."]
theorem OrderedCommGroup.to_contravariantClass_right_le (α : Type u) [OrderedCommGroup α] :
ContravariantClass α α (swap (· * ·)) (· ≤ ·) where
elim a b c bc := by simpa using mul_le_mul_right' bc a⁻¹
#align ordered_comm_group.to_contravariant_class_right_le OrderedCommGroup.to_contravariantClass_right_le
#align ordered_add_comm_group.to_contravariant_class_right_le OrderedAddCommGroup.to_contravariantClass_right_le
section Group
variable [Group α]
section TypeclassesLeftRightLT
variable [LT α] [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (swap (· * ·)) (· < ·)]
{a b c d : α}
@[to_additive (attr := simp)]
| Mathlib/Algebra/Order/Group/Defs.lean | 382 | 384 | theorem inv_lt_inv_iff : a⁻¹ < b⁻¹ ↔ b < a := by |
rw [← mul_lt_mul_iff_left a, ← mul_lt_mul_iff_right b]
simp
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Group.Int
import Mathlib.Data.Nat.Dist
import Mathlib.Data.Ordmap.Ordnode
import Mathlib.Tactic.Abel
import Mathlib.Tactic.Linarith
#align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69"
variable {α : Type*}
namespace Ordnode
theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 :=
not_le_of_gt H
#align ordnode.not_le_delta Ordnode.not_le_delta
theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False :=
not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by
simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta)
#align ordnode.delta_lt_false Ordnode.delta_lt_false
def realSize : Ordnode α → ℕ
| nil => 0
| node _ l _ r => realSize l + realSize r + 1
#align ordnode.real_size Ordnode.realSize
def Sized : Ordnode α → Prop
| nil => True
| node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r
#align ordnode.sized Ordnode.Sized
theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) :=
⟨rfl, hl, hr⟩
#align ordnode.sized.node' Ordnode.Sized.node'
theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by
rw [h.1]
#align ordnode.sized.eq_node' Ordnode.Sized.eq_node'
theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.1
#align ordnode.sized.size_eq Ordnode.Sized.size_eq
@[elab_as_elim]
theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil)
(H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by
induction t with
| nil => exact H0
| node _ _ _ _ t_ih_l t_ih_r =>
rw [hl.eq_node']
exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2)
#align ordnode.sized.induction Ordnode.Sized.induction
theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t
| nil, _ => rfl
| node s l x r, ⟨h₁, h₂, h₃⟩ => by
rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl
#align ordnode.size_eq_real_size Ordnode.size_eq_realSize
@[simp]
theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by
cases t <;> [simp;simp [ht.1]]
#align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero
| Mathlib/Data/Ordmap/Ordset.lean | 144 | 145 | theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by |
rw [h.1]; apply Nat.le_add_left
|
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]
| Mathlib/MeasureTheory/Group/FundamentalDomain.lean | 149 | 156 | 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]
|
import Mathlib.MeasureTheory.Integral.Lebesgue
open Set hiding restrict restrict_apply
open Filter ENNReal NNReal MeasureTheory.Measure
namespace MeasureTheory
variable {α : Type*} {m0 : MeasurableSpace α} {μ : Measure α}
noncomputable
def Measure.withDensity {m : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : Measure α :=
Measure.ofMeasurable (fun s _ => ∫⁻ a in s, f a ∂μ) (by simp) fun s hs hd =>
lintegral_iUnion hs hd _
#align measure_theory.measure.with_density MeasureTheory.Measure.withDensity
@[simp]
theorem withDensity_apply (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) :
μ.withDensity f s = ∫⁻ a in s, f a ∂μ :=
Measure.ofMeasurable_apply s hs
#align measure_theory.with_density_apply MeasureTheory.withDensity_apply
theorem withDensity_apply_le (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a in s, f a ∂μ ≤ μ.withDensity f s := by
let t := toMeasurable (μ.withDensity f) s
calc
∫⁻ a in s, f a ∂μ ≤ ∫⁻ a in t, f a ∂μ :=
lintegral_mono_set (subset_toMeasurable (withDensity μ f) s)
_ = μ.withDensity f t :=
(withDensity_apply f (measurableSet_toMeasurable (withDensity μ f) s)).symm
_ = μ.withDensity f s := measure_toMeasurable s
theorem withDensity_apply' [SFinite μ] (f : α → ℝ≥0∞) (s : Set α) :
μ.withDensity f s = ∫⁻ a in s, f a ∂μ := by
apply le_antisymm ?_ (withDensity_apply_le f s)
let t := toMeasurable μ s
calc
μ.withDensity f s ≤ μ.withDensity f t := measure_mono (subset_toMeasurable μ s)
_ = ∫⁻ a in t, f a ∂μ := withDensity_apply f (measurableSet_toMeasurable μ s)
_ = ∫⁻ a in s, f a ∂μ := by congr 1; exact restrict_toMeasurable_of_sFinite s
@[simp]
lemma withDensity_zero_left (f : α → ℝ≥0∞) : (0 : Measure α).withDensity f = 0 := by
ext s hs
rw [withDensity_apply _ hs]
simp
theorem withDensity_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) :
μ.withDensity f = μ.withDensity g := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, withDensity_apply _ hs]
exact lintegral_congr_ae (ae_restrict_of_ae h)
#align measure_theory.with_density_congr_ae MeasureTheory.withDensity_congr_ae
lemma withDensity_mono {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) :
μ.withDensity f ≤ μ.withDensity g := by
refine le_iff.2 fun s hs ↦ ?_
rw [withDensity_apply _ hs, withDensity_apply _ hs]
refine set_lintegral_mono_ae' hs ?_
filter_upwards [hfg] with x h_le using fun _ ↦ h_le
theorem withDensity_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) :
μ.withDensity (f + g) = μ.withDensity f + μ.withDensity g := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, Measure.add_apply, withDensity_apply _ hs, withDensity_apply _ hs,
← lintegral_add_left hf]
simp only [Pi.add_apply]
#align measure_theory.with_density_add_left MeasureTheory.withDensity_add_left
theorem withDensity_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) :
μ.withDensity (f + g) = μ.withDensity f + μ.withDensity g := by
simpa only [add_comm] using withDensity_add_left hg f
#align measure_theory.with_density_add_right MeasureTheory.withDensity_add_right
theorem withDensity_add_measure {m : MeasurableSpace α} (μ ν : Measure α) (f : α → ℝ≥0∞) :
(μ + ν).withDensity f = μ.withDensity f + ν.withDensity f := by
ext1 s hs
simp only [withDensity_apply f hs, restrict_add, lintegral_add_measure, Measure.add_apply]
#align measure_theory.with_density_add_measure MeasureTheory.withDensity_add_measure
theorem withDensity_sum {ι : Type*} {m : MeasurableSpace α} (μ : ι → Measure α) (f : α → ℝ≥0∞) :
(sum μ).withDensity f = sum fun n => (μ n).withDensity f := by
ext1 s hs
simp_rw [sum_apply _ hs, withDensity_apply f hs, restrict_sum μ hs, lintegral_sum_measure]
#align measure_theory.with_density_sum MeasureTheory.withDensity_sum
theorem withDensity_smul (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) :
μ.withDensity (r • f) = r • μ.withDensity f := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, Measure.coe_smul, Pi.smul_apply, withDensity_apply _ hs,
smul_eq_mul, ← lintegral_const_mul r hf]
simp only [Pi.smul_apply, smul_eq_mul]
#align measure_theory.with_density_smul MeasureTheory.withDensity_smul
theorem withDensity_smul' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) :
μ.withDensity (r • f) = r • μ.withDensity f := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, Measure.coe_smul, Pi.smul_apply, withDensity_apply _ hs,
smul_eq_mul, ← lintegral_const_mul' r f hr]
simp only [Pi.smul_apply, smul_eq_mul]
#align measure_theory.with_density_smul' MeasureTheory.withDensity_smul'
theorem withDensity_smul_measure (r : ℝ≥0∞) (f : α → ℝ≥0∞) :
(r • μ).withDensity f = r • μ.withDensity f := by
ext s hs
rw [withDensity_apply _ hs, Measure.coe_smul, Pi.smul_apply, withDensity_apply _ hs,
smul_eq_mul, set_lintegral_smul_measure]
theorem isFiniteMeasure_withDensity {f : α → ℝ≥0∞} (hf : ∫⁻ a, f a ∂μ ≠ ∞) :
IsFiniteMeasure (μ.withDensity f) :=
{ measure_univ_lt_top := by
rwa [withDensity_apply _ MeasurableSet.univ, Measure.restrict_univ, lt_top_iff_ne_top] }
#align measure_theory.is_finite_measure_with_density MeasureTheory.isFiniteMeasure_withDensity
| Mathlib/MeasureTheory/Measure/WithDensity.lean | 150 | 154 | theorem withDensity_absolutelyContinuous {m : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) :
μ.withDensity f ≪ μ := by |
refine AbsolutelyContinuous.mk fun s hs₁ hs₂ => ?_
rw [withDensity_apply _ hs₁]
exact set_lintegral_measure_zero _ _ hs₂
|
import Mathlib.Analysis.Calculus.FDeriv.Linear
import Mathlib.Analysis.Calculus.FDeriv.Comp
#align_import analysis.calculus.fderiv.prod from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
section CartesianProduct
section Pi
variable {ι : Type*} [Fintype ι] {F' : ι → Type*} [∀ i, NormedAddCommGroup (F' i)]
[∀ i, NormedSpace 𝕜 (F' i)] {φ : ∀ i, E → F' i} {φ' : ∀ i, E →L[𝕜] F' i} {Φ : E → ∀ i, F' i}
{Φ' : E →L[𝕜] ∀ i, F' i}
@[simp]
theorem hasStrictFDerivAt_pi' :
HasStrictFDerivAt Φ Φ' x ↔ ∀ i, HasStrictFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x := by
simp only [HasStrictFDerivAt, ContinuousLinearMap.coe_pi]
exact isLittleO_pi
#align has_strict_fderiv_at_pi' hasStrictFDerivAt_pi'
@[fun_prop]
theorem hasStrictFDerivAt_pi'' (hφ : ∀ i, HasStrictFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x) :
HasStrictFDerivAt Φ Φ' x := hasStrictFDerivAt_pi'.2 hφ
@[fun_prop]
theorem hasStrictFDerivAt_apply (i : ι) (f : ∀ i, F' i) :
HasStrictFDerivAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) f := by
let id' := ContinuousLinearMap.id 𝕜 (∀ i, F' i)
have h := ((hasStrictFDerivAt_pi'
(Φ := fun (f : ∀ i, F' i) (i' : ι) => f i') (Φ':=id') (x:=f))).1
have h' : comp (proj i) id' = proj i := by rfl
rw [← h']; apply h; apply hasStrictFDerivAt_id
@[simp 1100] -- Porting note: increased priority to make lint happy
theorem hasStrictFDerivAt_pi :
HasStrictFDerivAt (fun x i => φ i x) (ContinuousLinearMap.pi φ') x ↔
∀ i, HasStrictFDerivAt (φ i) (φ' i) x :=
hasStrictFDerivAt_pi'
#align has_strict_fderiv_at_pi hasStrictFDerivAt_pi
@[simp]
theorem hasFDerivAtFilter_pi' :
HasFDerivAtFilter Φ Φ' x L ↔
∀ i, HasFDerivAtFilter (fun x => Φ x i) ((proj i).comp Φ') x L := by
simp only [hasFDerivAtFilter_iff_isLittleO, ContinuousLinearMap.coe_pi]
exact isLittleO_pi
#align has_fderiv_at_filter_pi' hasFDerivAtFilter_pi'
theorem hasFDerivAtFilter_pi :
HasFDerivAtFilter (fun x i => φ i x) (ContinuousLinearMap.pi φ') x L ↔
∀ i, HasFDerivAtFilter (φ i) (φ' i) x L :=
hasFDerivAtFilter_pi'
#align has_fderiv_at_filter_pi hasFDerivAtFilter_pi
@[simp]
theorem hasFDerivAt_pi' :
HasFDerivAt Φ Φ' x ↔ ∀ i, HasFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x :=
hasFDerivAtFilter_pi'
#align has_fderiv_at_pi' hasFDerivAt_pi'
@[fun_prop]
theorem hasFDerivAt_pi'' (hφ : ∀ i, HasFDerivAt (fun x => Φ x i) ((proj i).comp Φ') x) :
HasFDerivAt Φ Φ' x := hasFDerivAt_pi'.2 hφ
@[fun_prop]
theorem hasFDerivAt_apply (i : ι) (f : ∀ i, F' i) :
HasFDerivAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) f := by
apply HasStrictFDerivAt.hasFDerivAt
apply hasStrictFDerivAt_apply
theorem hasFDerivAt_pi :
HasFDerivAt (fun x i => φ i x) (ContinuousLinearMap.pi φ') x ↔
∀ i, HasFDerivAt (φ i) (φ' i) x :=
hasFDerivAtFilter_pi
#align has_fderiv_at_pi hasFDerivAt_pi
@[simp]
theorem hasFDerivWithinAt_pi' :
HasFDerivWithinAt Φ Φ' s x ↔ ∀ i, HasFDerivWithinAt (fun x => Φ x i) ((proj i).comp Φ') s x :=
hasFDerivAtFilter_pi'
#align has_fderiv_within_at_pi' hasFDerivWithinAt_pi'
@[fun_prop]
theorem hasFDerivWithinAt_pi''
(hφ : ∀ i, HasFDerivWithinAt (fun x => Φ x i) ((proj i).comp Φ') s x) :
HasFDerivWithinAt Φ Φ' s x := hasFDerivWithinAt_pi'.2 hφ
@[fun_prop]
| Mathlib/Analysis/Calculus/FDeriv/Prod.lean | 474 | 480 | theorem hasFDerivWithinAt_apply (i : ι) (f : ∀ i, F' i) (s' : Set (∀ i, F' i)) :
HasFDerivWithinAt (𝕜:=𝕜) (fun f : ∀ i, F' i => f i) (proj i) s' f := by |
let id' := ContinuousLinearMap.id 𝕜 (∀ i, F' i)
have h := ((hasFDerivWithinAt_pi'
(Φ := fun (f : ∀ i, F' i) (i' : ι) => f i') (Φ':=id') (x:=f) (s:=s'))).1
have h' : comp (proj i) id' = proj i := by rfl
rw [← h']; apply h; apply hasFDerivWithinAt_id
|
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology
#align_import topology.uniform_space.equicontinuity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section
open UniformSpace Filter Set Uniformity Topology UniformConvergence Function
variable {ι κ X X' Y Z α α' β β' γ 𝓕 : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y]
[tZ : TopologicalSpace Z] [uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ]
def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U
#align equicontinuous_at EquicontinuousAt
protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop :=
EquicontinuousAt ((↑) : H → X → α) x₀
#align set.equicontinuous_at Set.EquicontinuousAt
def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U
protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop :=
EquicontinuousWithinAt ((↑) : H → X → α) S x₀
def Equicontinuous (F : ι → X → α) : Prop :=
∀ x₀, EquicontinuousAt F x₀
#align equicontinuous Equicontinuous
protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop :=
Equicontinuous ((↑) : H → X → α)
#align set.equicontinuous Set.Equicontinuous
def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop :=
∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀
protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop :=
EquicontinuousOn ((↑) : H → X → α) S
def UniformEquicontinuous (F : ι → β → α) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U
#align uniform_equicontinuous UniformEquicontinuous
protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop :=
UniformEquicontinuous ((↑) : H → β → α)
#align set.uniform_equicontinuous Set.UniformEquicontinuous
def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U
protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop :=
UniformEquicontinuousOn ((↑) : H → β → α) S
lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀)
(S : Set X) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X}
(H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST
@[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) :
EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by
rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ]
lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) :
EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by
simp [EquicontinuousWithinAt, EquicontinuousAt,
← eventually_nhds_subtype_iff]
lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F)
(S : Set X) : EquicontinuousOn F S :=
fun x _ ↦ (H x).equicontinuousWithinAt S
lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X}
(H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S :=
fun x hx ↦ (H x (hST hx)).mono hST
lemma equicontinuousOn_univ (F : ι → X → α) :
EquicontinuousOn F univ ↔ Equicontinuous F := by
simp [EquicontinuousOn, Equicontinuous]
lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} :
Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by
simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff]
lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F)
(S : Set β) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β}
(H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono <| by gcongr
lemma uniformEquicontinuousOn_univ (F : ι → β → α) :
UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by
simp [UniformEquicontinuousOn, UniformEquicontinuous]
lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} :
UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by
rw [UniformEquicontinuous, UniformEquicontinuousOn]
conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prod_map, ← map_comap]
rfl
@[simp]
lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) :
EquicontinuousAt F x₀ :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) :
EquicontinuousWithinAt F S x₀ :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) :
Equicontinuous F :=
equicontinuousAt_empty F
@[simp]
lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) :
EquicontinuousOn F S :=
fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀
@[simp]
lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) :
UniformEquicontinuous F :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
@[simp]
lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) :
UniformEquicontinuousOn F S :=
fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim)
theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by
simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff,
UniformSpace.ball, @forall_swap _ ι]
| Mathlib/Topology/UniformSpace/Equicontinuity.lean | 256 | 260 | theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by |
simp [EquicontinuousWithinAt, ContinuousWithinAt,
(nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball,
@forall_swap _ ι]
|
import Mathlib.RingTheory.Valuation.Integers
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Localization.Integer
import Mathlib.RingTheory.DiscreteValuationRing.Basic
import Mathlib.RingTheory.Bezout
import Mathlib.Tactic.FieldSimp
#align_import ring_theory.valuation.valuation_ring from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68"
universe u v w
class ValuationRing (A : Type u) [CommRing A] [IsDomain A] : Prop where
cond' : ∀ a b : A, ∃ c : A, a * c = b ∨ b * c = a
#align valuation_ring ValuationRing
-- Porting note: this lemma is needed since infer kinds are unsupported in Lean 4
lemma ValuationRing.cond {A : Type u} [CommRing A] [IsDomain A] [ValuationRing A] (a b : A) :
∃ c : A, a * c = b ∨ b * c = a := @ValuationRing.cond' A _ _ _ _ _
namespace ValuationRing
section
variable (A : Type u) [CommRing A]
variable (K : Type v) [Field K] [Algebra A K]
def ValueGroup : Type v := Quotient (MulAction.orbitRel Aˣ K)
#align valuation_ring.value_group ValuationRing.ValueGroup
instance : Inhabited (ValueGroup A K) := ⟨Quotient.mk'' 0⟩
instance : LE (ValueGroup A K) :=
LE.mk fun x y =>
Quotient.liftOn₂' x y (fun a b => ∃ c : A, c • b = a)
(by
rintro _ _ a b ⟨c, rfl⟩ ⟨d, rfl⟩; ext
constructor
· rintro ⟨e, he⟩; use (c⁻¹ : Aˣ) * e * d
apply_fun fun t => c⁻¹ • t at he
simpa [mul_smul] using he
· rintro ⟨e, he⟩; dsimp
use c * e * (d⁻¹ : Aˣ)
simp_rw [Units.smul_def, ← he, mul_smul]
rw [← mul_smul _ _ b, Units.inv_mul, one_smul])
instance : Zero (ValueGroup A K) := ⟨Quotient.mk'' 0⟩
instance : One (ValueGroup A K) := ⟨Quotient.mk'' 1⟩
instance : Mul (ValueGroup A K) :=
Mul.mk fun x y =>
Quotient.liftOn₂' x y (fun a b => Quotient.mk'' <| a * b)
(by
rintro _ _ a b ⟨c, rfl⟩ ⟨d, rfl⟩
apply Quotient.sound'
dsimp
use c * d
simp only [mul_smul, Algebra.smul_def, Units.smul_def, RingHom.map_mul, Units.val_mul]
ring)
instance : Inv (ValueGroup A K) :=
Inv.mk fun x =>
Quotient.liftOn' x (fun a => Quotient.mk'' a⁻¹)
(by
rintro _ a ⟨b, rfl⟩
apply Quotient.sound'
use b⁻¹
dsimp
rw [Units.smul_def, Units.smul_def, Algebra.smul_def, Algebra.smul_def, mul_inv,
map_units_inv])
variable [IsDomain A] [ValuationRing A] [IsFractionRing A K]
protected theorem le_total (a b : ValueGroup A K) : a ≤ b ∨ b ≤ a := by
rcases a with ⟨a⟩; rcases b with ⟨b⟩
obtain ⟨xa, ya, hya, rfl⟩ : ∃ a b : A, _ := IsFractionRing.div_surjective a
obtain ⟨xb, yb, hyb, rfl⟩ : ∃ a b : A, _ := IsFractionRing.div_surjective b
have : (algebraMap A K) ya ≠ 0 := IsFractionRing.to_map_ne_zero_of_mem_nonZeroDivisors hya
have : (algebraMap A K) yb ≠ 0 := IsFractionRing.to_map_ne_zero_of_mem_nonZeroDivisors hyb
obtain ⟨c, h | h⟩ := ValuationRing.cond (xa * yb) (xb * ya)
· right
use c
rw [Algebra.smul_def]
field_simp
simp only [← RingHom.map_mul, ← h]; congr 1; ring
· left
use c
rw [Algebra.smul_def]
field_simp
simp only [← RingHom.map_mul, ← h]; congr 1; ring
#align valuation_ring.le_total ValuationRing.le_total
-- Porting note: it is much faster to split the instance `LinearOrderedCommGroupWithZero`
-- into two parts
noncomputable instance linearOrder : LinearOrder (ValueGroup A K) where
le_refl := by rintro ⟨⟩; use 1; rw [one_smul]
le_trans := by rintro ⟨a⟩ ⟨b⟩ ⟨c⟩ ⟨e, rfl⟩ ⟨f, rfl⟩; use e * f; rw [mul_smul]
le_antisymm := by
rintro ⟨a⟩ ⟨b⟩ ⟨e, rfl⟩ ⟨f, hf⟩
by_cases hb : b = 0; · simp [hb]
have : IsUnit e := by
apply isUnit_of_dvd_one
use f
rw [mul_comm]
rw [← mul_smul, Algebra.smul_def] at hf
nth_rw 2 [← one_mul b] at hf
rw [← (algebraMap A K).map_one] at hf
exact IsFractionRing.injective _ _ (mul_right_cancel₀ hb hf).symm
apply Quotient.sound'
exact ⟨this.unit, rfl⟩
le_total := ValuationRing.le_total _ _
decidableLE := by classical infer_instance
noncomputable instance linearOrderedCommGroupWithZero :
LinearOrderedCommGroupWithZero (ValueGroup A K) :=
{ linearOrder .. with
mul_assoc := by rintro ⟨a⟩ ⟨b⟩ ⟨c⟩; apply Quotient.sound'; rw [mul_assoc]; apply Setoid.refl'
one_mul := by rintro ⟨a⟩; apply Quotient.sound'; rw [one_mul]; apply Setoid.refl'
mul_one := by rintro ⟨a⟩; apply Quotient.sound'; rw [mul_one]; apply Setoid.refl'
mul_comm := by rintro ⟨a⟩ ⟨b⟩; apply Quotient.sound'; rw [mul_comm]; apply Setoid.refl'
mul_le_mul_left := by
rintro ⟨a⟩ ⟨b⟩ ⟨c, rfl⟩ ⟨d⟩
use c; simp only [Algebra.smul_def]; ring
zero_mul := by rintro ⟨a⟩; apply Quotient.sound'; rw [zero_mul]; apply Setoid.refl'
mul_zero := by rintro ⟨a⟩; apply Quotient.sound'; rw [mul_zero]; apply Setoid.refl'
zero_le_one := ⟨0, by rw [zero_smul]⟩
exists_pair_ne := by
use 0, 1
intro c; obtain ⟨d, hd⟩ := Quotient.exact' c
apply_fun fun t => d⁻¹ • t at hd
simp only [inv_smul_smul, smul_zero, one_ne_zero] at hd
inv_zero := by apply Quotient.sound'; rw [inv_zero]; apply Setoid.refl'
mul_inv_cancel := by
rintro ⟨a⟩ ha
apply Quotient.sound'
use 1
simp only [one_smul, ne_eq]
apply (mul_inv_cancel _).symm
contrapose ha
simp only [Classical.not_not] at ha ⊢
rw [ha]
rfl }
def valuation : Valuation K (ValueGroup A K) where
toFun := Quotient.mk''
map_zero' := rfl
map_one' := rfl
map_mul' _ _ := rfl
map_add_le_max' := by
intro a b
obtain ⟨xa, ya, hya, rfl⟩ : ∃ a b : A, _ := IsFractionRing.div_surjective a
obtain ⟨xb, yb, hyb, rfl⟩ : ∃ a b : A, _ := IsFractionRing.div_surjective b
have : (algebraMap A K) ya ≠ 0 := IsFractionRing.to_map_ne_zero_of_mem_nonZeroDivisors hya
have : (algebraMap A K) yb ≠ 0 := IsFractionRing.to_map_ne_zero_of_mem_nonZeroDivisors hyb
obtain ⟨c, h | h⟩ := ValuationRing.cond (xa * yb) (xb * ya)
· dsimp
apply le_trans _ (le_max_left _ _)
use c + 1
rw [Algebra.smul_def]
field_simp
simp only [← RingHom.map_mul, ← RingHom.map_add, ← (algebraMap A K).map_one, ← h]
congr 1; ring
· apply le_trans _ (le_max_right _ _)
use c + 1
rw [Algebra.smul_def]
field_simp
simp only [← RingHom.map_mul, ← RingHom.map_add, ← (algebraMap A K).map_one, ← h]
congr 1; ring
#align valuation_ring.valuation ValuationRing.valuation
theorem mem_integer_iff (x : K) : x ∈ (valuation A K).integer ↔ ∃ a : A, algebraMap A K a = x := by
constructor
· rintro ⟨c, rfl⟩
use c
rw [Algebra.smul_def, mul_one]
· rintro ⟨c, rfl⟩
use c
rw [Algebra.smul_def, mul_one]
#align valuation_ring.mem_integer_iff ValuationRing.mem_integer_iff
noncomputable def equivInteger : A ≃+* (valuation A K).integer :=
RingEquiv.ofBijective
(show A →ₙ+* (valuation A K).integer from
{ toFun := fun a => ⟨algebraMap A K a, (mem_integer_iff _ _ _).mpr ⟨a, rfl⟩⟩
map_mul' := fun _ _ => by ext1; exact (algebraMap A K).map_mul _ _
map_zero' := by ext1; exact (algebraMap A K).map_zero
map_add' := fun _ _ => by ext1; exact (algebraMap A K).map_add _ _ })
(by
constructor
· intro x y h
apply_fun (algebraMap (valuation A K).integer K) at h
exact IsFractionRing.injective _ _ h
· rintro ⟨-, ha⟩
rw [mem_integer_iff] at ha
obtain ⟨a, rfl⟩ := ha
exact ⟨a, rfl⟩)
#align valuation_ring.equiv_integer ValuationRing.equivInteger
@[simp]
theorem coe_equivInteger_apply (a : A) : (equivInteger A K a : K) = algebraMap A K a := rfl
#align valuation_ring.coe_equiv_integer_apply ValuationRing.coe_equivInteger_apply
theorem range_algebraMap_eq : (valuation A K).integer = (algebraMap A K).range := by
ext; exact mem_integer_iff _ _ _
#align valuation_ring.range_algebra_map_eq ValuationRing.range_algebraMap_eq
end
section
variable (A : Type u) [CommRing A] [IsDomain A] [ValuationRing A]
instance (priority := 100) localRing : LocalRing A :=
LocalRing.of_isUnit_or_isUnit_one_sub_self
(by
intro a
obtain ⟨c, h | h⟩ := ValuationRing.cond a (1 - a)
· left
apply isUnit_of_mul_eq_one _ (c + 1)
simp [mul_add, h]
· right
apply isUnit_of_mul_eq_one _ (c + 1)
simp [mul_add, h])
instance [DecidableRel ((· ≤ ·) : Ideal A → Ideal A → Prop)] : LinearOrder (Ideal A) :=
{ (inferInstance : CompleteLattice (Ideal A)) with
le_total := by
intro α β
by_cases h : α ≤ β; · exact Or.inl h
erw [not_forall] at h
push_neg at h
obtain ⟨a, h₁, h₂⟩ := h
right
intro b hb
obtain ⟨c, h | h⟩ := ValuationRing.cond a b
· rw [← h]
exact Ideal.mul_mem_right _ _ h₁
· exfalso; apply h₂; rw [← h]
apply Ideal.mul_mem_right _ _ hb
decidableLE := inferInstance }
end
section
variable {R : Type*} [CommRing R] [IsDomain R] {K : Type*}
variable [Field K] [Algebra R K] [IsFractionRing R K]
theorem iff_dvd_total : ValuationRing R ↔ IsTotal R (· ∣ ·) := by
classical
refine ⟨fun H => ⟨fun a b => ?_⟩, fun H => ⟨fun a b => ?_⟩⟩
· obtain ⟨c, rfl | rfl⟩ := ValuationRing.cond a b <;> simp
· obtain ⟨c, rfl⟩ | ⟨c, rfl⟩ := @IsTotal.total _ _ H a b <;> use c <;> simp
#align valuation_ring.iff_dvd_total ValuationRing.iff_dvd_total
theorem iff_ideal_total : ValuationRing R ↔ IsTotal (Ideal R) (· ≤ ·) := by
classical
refine ⟨fun _ => ⟨le_total⟩, fun H => iff_dvd_total.mpr ⟨fun a b => ?_⟩⟩
have := @IsTotal.total _ _ H (Ideal.span {a}) (Ideal.span {b})
simp_rw [Ideal.span_singleton_le_span_singleton] at this
exact this.symm
#align valuation_ring.iff_ideal_total ValuationRing.iff_ideal_total
variable (K)
theorem dvd_total [h : ValuationRing R] (x y : R) : x ∣ y ∨ y ∣ x :=
@IsTotal.total _ _ (iff_dvd_total.mp h) x y
#align valuation_ring.dvd_total ValuationRing.dvd_total
theorem unique_irreducible [ValuationRing R] ⦃p q : R⦄ (hp : Irreducible p) (hq : Irreducible q) :
Associated p q := by
have := dvd_total p q
rw [Irreducible.dvd_comm hp hq, or_self_iff] at this
exact associated_of_dvd_dvd (Irreducible.dvd_symm hq hp this) this
#align valuation_ring.unique_irreducible ValuationRing.unique_irreducible
variable (R)
| Mathlib/RingTheory/Valuation/ValuationRing.lean | 312 | 333 | theorem iff_isInteger_or_isInteger :
ValuationRing R ↔ ∀ x : K, IsLocalization.IsInteger R x ∨ IsLocalization.IsInteger R x⁻¹ := by |
constructor
· intro H x
obtain ⟨x : R, y, hy, rfl⟩ := IsFractionRing.div_surjective (A := R) x
have := (map_ne_zero_iff _ (IsFractionRing.injective R K)).mpr (nonZeroDivisors.ne_zero hy)
obtain ⟨s, rfl | rfl⟩ := ValuationRing.cond x y
· exact Or.inr
⟨s, eq_inv_of_mul_eq_one_left <| by rwa [mul_div, div_eq_one_iff_eq, map_mul, mul_comm]⟩
· exact Or.inl ⟨s, by rwa [eq_div_iff, map_mul, mul_comm]⟩
· intro H
constructor
intro a b
by_cases ha : a = 0; · subst ha; exact ⟨0, Or.inr <| mul_zero b⟩
by_cases hb : b = 0; · subst hb; exact ⟨0, Or.inl <| mul_zero a⟩
replace ha := (map_ne_zero_iff _ (IsFractionRing.injective R K)).mpr ha
replace hb := (map_ne_zero_iff _ (IsFractionRing.injective R K)).mpr hb
obtain ⟨c, e⟩ | ⟨c, e⟩ := H (algebraMap R K a / algebraMap R K b)
· rw [eq_div_iff hb, ← map_mul, (IsFractionRing.injective R K).eq_iff, mul_comm] at e
exact ⟨c, Or.inr e⟩
· rw [inv_div, eq_div_iff ha, ← map_mul, (IsFractionRing.injective R K).eq_iff, mul_comm c] at e
exact ⟨c, Or.inl e⟩
|
import Mathlib.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Adjunction.Evaluation
import Mathlib.Tactic.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Adhesive
import Mathlib.CategoryTheory.Sites.ConcreteSheafification
#align_import category_theory.sites.subsheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe w v u
open Opposite CategoryTheory
namespace CategoryTheory.GrothendieckTopology
variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C)
@[ext]
structure Subpresheaf (F : Cᵒᵖ ⥤ Type w) where
obj : ∀ U, Set (F.obj U)
map : ∀ {U V : Cᵒᵖ} (i : U ⟶ V), obj U ⊆ F.map i ⁻¹' obj V
#align category_theory.grothendieck_topology.subpresheaf CategoryTheory.GrothendieckTopology.Subpresheaf
variable {F F' F'' : Cᵒᵖ ⥤ Type w} (G G' : Subpresheaf F)
instance : PartialOrder (Subpresheaf F) :=
PartialOrder.lift Subpresheaf.obj Subpresheaf.ext
instance : Top (Subpresheaf F) :=
⟨⟨fun U => ⊤, @fun U V _ x _ => by aesop_cat⟩⟩
instance : Nonempty (Subpresheaf F) :=
inferInstance
@[simps!]
def Subpresheaf.toPresheaf : Cᵒᵖ ⥤ Type w where
obj U := G.obj U
map := @fun U V i x => ⟨F.map i x, G.map i x.prop⟩
map_id X := by
ext ⟨x, _⟩
dsimp
simp only [FunctorToTypes.map_id_apply]
map_comp := @fun X Y Z i j => by
ext ⟨x, _⟩
dsimp
simp only [FunctorToTypes.map_comp_apply]
#align category_theory.grothendieck_topology.subpresheaf.to_presheaf CategoryTheory.GrothendieckTopology.Subpresheaf.toPresheaf
instance {U} : CoeHead (G.toPresheaf.obj U) (F.obj U) where
coe := Subtype.val
@[simps]
def Subpresheaf.ι : G.toPresheaf ⟶ F where app U x := x
#align category_theory.grothendieck_topology.subpresheaf.ι CategoryTheory.GrothendieckTopology.Subpresheaf.ι
instance : Mono G.ι :=
⟨@fun _ f₁ f₂ e =>
NatTrans.ext f₁ f₂ <|
funext fun U => funext fun x => Subtype.ext <| congr_fun (congr_app e U) x⟩
@[simps]
def Subpresheaf.homOfLe {G G' : Subpresheaf F} (h : G ≤ G') : G.toPresheaf ⟶ G'.toPresheaf where
app U x := ⟨x, h U x.prop⟩
#align category_theory.grothendieck_topology.subpresheaf.hom_of_le CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe
instance {G G' : Subpresheaf F} (h : G ≤ G') : Mono (Subpresheaf.homOfLe h) :=
⟨fun f₁ f₂ e =>
NatTrans.ext f₁ f₂ <|
funext fun U =>
funext fun x =>
Subtype.ext <| (congr_arg Subtype.val <| (congr_fun (congr_app e U) x : _) : _)⟩
@[reassoc (attr := simp)]
theorem Subpresheaf.homOfLe_ι {G G' : Subpresheaf F} (h : G ≤ G') :
Subpresheaf.homOfLe h ≫ G'.ι = G.ι := by
ext
rfl
#align category_theory.grothendieck_topology.subpresheaf.hom_of_le_ι CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe_ι
instance : IsIso (Subpresheaf.ι (⊤ : Subpresheaf F)) := by
refine @NatIso.isIso_of_isIso_app _ _ _ _ _ _ _ ?_
intro X
rw [isIso_iff_bijective]
exact ⟨Subtype.coe_injective, fun x => ⟨⟨x, _root_.trivial⟩, rfl⟩⟩
theorem Subpresheaf.eq_top_iff_isIso : G = ⊤ ↔ IsIso G.ι := by
constructor
· rintro rfl
infer_instance
· intro H
ext U x
apply iff_true_iff.mpr
rw [← IsIso.inv_hom_id_apply (G.ι.app U) x]
exact ((inv (G.ι.app U)) x).2
#align category_theory.grothendieck_topology.subpresheaf.eq_top_iff_is_iso CategoryTheory.GrothendieckTopology.Subpresheaf.eq_top_iff_isIso
@[simps!]
def Subpresheaf.lift (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) : F' ⟶ G.toPresheaf where
app U x := ⟨f.app U x, hf U x⟩
naturality := by
have := elementwise_of% f.naturality
intros
refine funext fun x => Subtype.ext ?_
simp only [toPresheaf_obj, types_comp_apply]
exact this _ _
#align category_theory.grothendieck_topology.subpresheaf.lift CategoryTheory.GrothendieckTopology.Subpresheaf.lift
@[reassoc (attr := simp)]
theorem Subpresheaf.lift_ι (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) :
G.lift f hf ≫ G.ι = f := by
ext
rfl
#align category_theory.grothendieck_topology.subpresheaf.lift_ι CategoryTheory.GrothendieckTopology.Subpresheaf.lift_ι
@[simps]
def Subpresheaf.sieveOfSection {U : Cᵒᵖ} (s : F.obj U) : Sieve (unop U) where
arrows V f := F.map f.op s ∈ G.obj (op V)
downward_closed := @fun V W i hi j => by
simp only [op_unop, op_comp, FunctorToTypes.map_comp_apply]
exact G.map _ hi
#align category_theory.grothendieck_topology.subpresheaf.sieve_of_section CategoryTheory.GrothendieckTopology.Subpresheaf.sieveOfSection
def Subpresheaf.familyOfElementsOfSection {U : Cᵒᵖ} (s : F.obj U) :
(G.sieveOfSection s).1.FamilyOfElements G.toPresheaf := fun _ i hi => ⟨F.map i.op s, hi⟩
#align category_theory.grothendieck_topology.subpresheaf.family_of_elements_of_section CategoryTheory.GrothendieckTopology.Subpresheaf.familyOfElementsOfSection
theorem Subpresheaf.family_of_elements_compatible {U : Cᵒᵖ} (s : F.obj U) :
(G.familyOfElementsOfSection s).Compatible := by
intro Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ e
refine Subtype.ext ?_ -- Porting note: `ext1` does not work here
change F.map g₁.op (F.map f₁.op s) = F.map g₂.op (F.map f₂.op s)
rw [← FunctorToTypes.map_comp_apply, ← FunctorToTypes.map_comp_apply, ← op_comp, ← op_comp, e]
#align category_theory.grothendieck_topology.subpresheaf.family_of_elements_compatible CategoryTheory.GrothendieckTopology.Subpresheaf.family_of_elements_compatible
theorem Subpresheaf.nat_trans_naturality (f : F' ⟶ G.toPresheaf) {U V : Cᵒᵖ} (i : U ⟶ V)
(x : F'.obj U) : (f.app V (F'.map i x)).1 = F.map i (f.app U x).1 :=
congr_arg Subtype.val (FunctorToTypes.naturality _ _ f i x)
#align category_theory.grothendieck_topology.subpresheaf.nat_trans_naturality CategoryTheory.GrothendieckTopology.Subpresheaf.nat_trans_naturality
def Subpresheaf.sheafify : Subpresheaf F where
obj U := { s | G.sieveOfSection s ∈ J (unop U) }
map := by
rintro U V i s hs
refine J.superset_covering ?_ (J.pullback_stable i.unop hs)
intro _ _ h
dsimp at h ⊢
rwa [← FunctorToTypes.map_comp_apply]
#align category_theory.grothendieck_topology.subpresheaf.sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.sheafify
theorem Subpresheaf.le_sheafify : G ≤ G.sheafify J := by
intro U s hs
change _ ∈ J _
convert J.top_mem U.unop -- Porting note: `U.unop` can not be inferred now
rw [eq_top_iff]
rintro V i -
exact G.map i.op hs
#align category_theory.grothendieck_topology.subpresheaf.le_sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.le_sheafify
variable {J}
| Mathlib/CategoryTheory/Sites/Subsheaf.lean | 204 | 213 | theorem Subpresheaf.eq_sheafify (h : Presieve.IsSheaf J F) (hG : Presieve.IsSheaf J G.toPresheaf) :
G = G.sheafify J := by |
apply (G.le_sheafify J).antisymm
intro U s hs
suffices ((hG _ hs).amalgamate _ (G.family_of_elements_compatible s)).1 = s by
rw [← this]
exact ((hG _ hs).amalgamate _ (G.family_of_elements_compatible s)).2
apply (h _ hs).isSeparatedFor.ext
intro V i hi
exact (congr_arg Subtype.val ((hG _ hs).valid_glue (G.family_of_elements_compatible s) _ hi) : _)
|
import Batteries.Tactic.Lint.Basic
import Mathlib.Algebra.Order.Monoid.Unbundled.Basic
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Order.ZeroLEOne
import Mathlib.Data.Nat.Cast.Order
import Mathlib.Init.Data.Int.Order
set_option autoImplicit true
namespace Linarith
theorem lt_irrefl {α : Type u} [Preorder α] {a : α} : ¬a < a := _root_.lt_irrefl a
theorem eq_of_eq_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b = 0) : a + b = 0 := by
simp [*]
theorem le_of_eq_of_le {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b ≤ 0) : a + b ≤ 0 := by
simp [*]
theorem lt_of_eq_of_lt {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b < 0) : a + b < 0 := by
simp [*]
theorem le_of_le_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a ≤ 0) (hb : b = 0) : a + b ≤ 0 := by
simp [*]
| Mathlib/Tactic/Linarith/Lemmas.lean | 39 | 40 | theorem lt_of_lt_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a < 0) (hb : b = 0) : a + b < 0 := by |
simp [*]
|
import Mathlib.Analysis.InnerProductSpace.Spectrum
import Mathlib.Data.Matrix.Rank
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Hermitian
#align_import linear_algebra.matrix.spectrum from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
namespace Matrix
variable {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]
variable {A : Matrix n n 𝕜}
namespace IsHermitian
section DecidableEq
variable [DecidableEq n]
variable (hA : A.IsHermitian)
noncomputable def eigenvalues₀ : Fin (Fintype.card n) → ℝ :=
(isHermitian_iff_isSymmetric.1 hA).eigenvalues finrank_euclideanSpace
#align matrix.is_hermitian.eigenvalues₀ Matrix.IsHermitian.eigenvalues₀
noncomputable def eigenvalues : n → ℝ := fun i =>
hA.eigenvalues₀ <| (Fintype.equivOfCardEq (Fintype.card_fin _)).symm i
#align matrix.is_hermitian.eigenvalues Matrix.IsHermitian.eigenvalues
noncomputable def eigenvectorBasis : OrthonormalBasis n 𝕜 (EuclideanSpace 𝕜 n) :=
((isHermitian_iff_isSymmetric.1 hA).eigenvectorBasis finrank_euclideanSpace).reindex
(Fintype.equivOfCardEq (Fintype.card_fin _))
#align matrix.is_hermitian.eigenvector_basis Matrix.IsHermitian.eigenvectorBasis
lemma mulVec_eigenvectorBasis (j : n) :
A *ᵥ ⇑(hA.eigenvectorBasis j) = (hA.eigenvalues j) • ⇑(hA.eigenvectorBasis j) := by
simpa only [eigenvectorBasis, OrthonormalBasis.reindex_apply, toEuclideanLin_apply,
RCLike.real_smul_eq_coe_smul (K := 𝕜)] using
congr(⇑$((isHermitian_iff_isSymmetric.1 hA).apply_eigenvectorBasis
finrank_euclideanSpace ((Fintype.equivOfCardEq (Fintype.card_fin _)).symm j)))
noncomputable def eigenvectorUnitary {𝕜 : Type*} [RCLike 𝕜] {n : Type*}
[Fintype n]{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) :
Matrix.unitaryGroup n 𝕜 :=
⟨(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis,
(EuclideanSpace.basisFun n 𝕜).toMatrix_orthonormalBasis_mem_unitary (eigenvectorBasis hA)⟩
#align matrix.is_hermitian.eigenvector_matrix Matrix.IsHermitian.eigenvectorUnitary
lemma eigenvectorUnitary_coe {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]
{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) :
eigenvectorUnitary hA =
(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis :=
rfl
@[simp]
theorem eigenvectorUnitary_apply (i j : n) :
eigenvectorUnitary hA i j = ⇑(hA.eigenvectorBasis j) i :=
rfl
#align matrix.is_hermitian.eigenvector_matrix_apply Matrix.IsHermitian.eigenvectorUnitary_apply
theorem eigenvectorUnitary_mulVec (j : n) :
eigenvectorUnitary hA *ᵥ Pi.single j 1 = ⇑(hA.eigenvectorBasis j) := by
simp only [mulVec_single, eigenvectorUnitary_apply, mul_one]
| Mathlib/LinearAlgebra/Matrix/Spectrum.lean | 82 | 84 | theorem star_eigenvectorUnitary_mulVec (j : n) :
(star (eigenvectorUnitary hA : Matrix n n 𝕜)) *ᵥ ⇑(hA.eigenvectorBasis j) = Pi.single j 1 := by |
rw [← eigenvectorUnitary_mulVec, mulVec_mulVec, unitary.coe_star_mul_self, one_mulVec]
|
import Mathlib.LinearAlgebra.Matrix.Trace
#align_import data.matrix.hadamard from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
variable {α β γ m n : Type*}
variable {R : Type*}
namespace Matrix
open Matrix
def hadamard [Mul α] (A : Matrix m n α) (B : Matrix m n α) : Matrix m n α :=
of fun i j => A i j * B i j
#align matrix.hadamard Matrix.hadamard
-- TODO: set as an equation lemma for `hadamard`, see mathlib4#3024
@[simp]
theorem hadamard_apply [Mul α] (A : Matrix m n α) (B : Matrix m n α) (i j) :
hadamard A B i j = A i j * B i j :=
rfl
#align matrix.hadamard_apply Matrix.hadamard_apply
scoped infixl:100 " ⊙ " => Matrix.hadamard
section BasicProperties
variable (A : Matrix m n α) (B : Matrix m n α) (C : Matrix m n α)
-- commutativity
theorem hadamard_comm [CommSemigroup α] : A ⊙ B = B ⊙ A :=
ext fun _ _ => mul_comm _ _
#align matrix.hadamard_comm Matrix.hadamard_comm
-- associativity
theorem hadamard_assoc [Semigroup α] : A ⊙ B ⊙ C = A ⊙ (B ⊙ C) :=
ext fun _ _ => mul_assoc _ _ _
#align matrix.hadamard_assoc Matrix.hadamard_assoc
-- distributivity
theorem hadamard_add [Distrib α] : A ⊙ (B + C) = A ⊙ B + A ⊙ C :=
ext fun _ _ => left_distrib _ _ _
#align matrix.hadamard_add Matrix.hadamard_add
theorem add_hadamard [Distrib α] : (B + C) ⊙ A = B ⊙ A + C ⊙ A :=
ext fun _ _ => right_distrib _ _ _
#align matrix.add_hadamard Matrix.add_hadamard
-- scalar multiplication
section One
variable [DecidableEq n] [MulZeroOneClass α]
variable (M : Matrix n n α)
theorem hadamard_one : M ⊙ (1 : Matrix n n α) = diagonal fun i => M i i := by
ext i j
by_cases h: i = j <;> simp [h]
#align matrix.hadamard_one Matrix.hadamard_one
| Mathlib/Data/Matrix/Hadamard.lean | 121 | 123 | theorem one_hadamard : (1 : Matrix n n α) ⊙ M = diagonal fun i => M i i := by |
ext i j
by_cases h : i = j <;> simp [h]
|
import Mathlib.Algebra.Lie.Abelian
import Mathlib.Algebra.Lie.IdealOperations
import Mathlib.Order.Hom.Basic
#align_import algebra.lie.solvable from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476"
universe u v w w₁ w₂
variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L']
variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L}
namespace LieAlgebra
def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L :=
(fun I => ⁅I, I⁆)^[k]
#align lie_algebra.derived_series_of_ideal LieAlgebra.derivedSeriesOfIdeal
@[simp]
theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I :=
rfl
#align lie_algebra.derived_series_of_ideal_zero LieAlgebra.derivedSeriesOfIdeal_zero
@[simp]
theorem derivedSeriesOfIdeal_succ (k : ℕ) :
derivedSeriesOfIdeal R L (k + 1) I =
⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ :=
Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I
#align lie_algebra.derived_series_of_ideal_succ LieAlgebra.derivedSeriesOfIdeal_succ
abbrev derivedSeries (k : ℕ) : LieIdeal R L :=
derivedSeriesOfIdeal R L k ⊤
#align lie_algebra.derived_series LieAlgebra.derivedSeries
theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ :=
rfl
#align lie_algebra.derived_series_def LieAlgebra.derivedSeries_def
variable {R L}
local notation "D" => derivedSeriesOfIdeal R L
theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by
induction' k with k ih
· rw [Nat.zero_add, derivedSeriesOfIdeal_zero]
· rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih]
#align lie_algebra.derived_series_of_ideal_add LieAlgebra.derivedSeriesOfIdeal_add
@[mono]
theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) :
D k I ≤ D l J := by
revert l; induction' k with k ih <;> intro l h₂
· rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁
· have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂
cases' h with h h
· rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ]
exact LieSubmodule.mono_lie _ _ _ _ (ih (le_refl k)) (ih (le_refl k))
· rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h)
#align lie_algebra.derived_series_of_ideal_le LieAlgebra.derivedSeriesOfIdeal_le
theorem derivedSeriesOfIdeal_succ_le (k : ℕ) : D (k + 1) I ≤ D k I :=
derivedSeriesOfIdeal_le (le_refl I) k.le_succ
#align lie_algebra.derived_series_of_ideal_succ_le LieAlgebra.derivedSeriesOfIdeal_succ_le
theorem derivedSeriesOfIdeal_le_self (k : ℕ) : D k I ≤ I :=
derivedSeriesOfIdeal_le (le_refl I) (zero_le k)
#align lie_algebra.derived_series_of_ideal_le_self LieAlgebra.derivedSeriesOfIdeal_le_self
theorem derivedSeriesOfIdeal_mono {I J : LieIdeal R L} (h : I ≤ J) (k : ℕ) : D k I ≤ D k J :=
derivedSeriesOfIdeal_le h (le_refl k)
#align lie_algebra.derived_series_of_ideal_mono LieAlgebra.derivedSeriesOfIdeal_mono
theorem derivedSeriesOfIdeal_antitone {k l : ℕ} (h : l ≤ k) : D k I ≤ D l I :=
derivedSeriesOfIdeal_le (le_refl I) h
#align lie_algebra.derived_series_of_ideal_antitone LieAlgebra.derivedSeriesOfIdeal_antitone
theorem derivedSeriesOfIdeal_add_le_add (J : LieIdeal R L) (k l : ℕ) :
D (k + l) (I + J) ≤ D k I + D l J := by
let D₁ : LieIdeal R L →o LieIdeal R L :=
{ toFun := fun I => ⁅I, I⁆
monotone' := fun I J h => LieSubmodule.mono_lie I J I J h h }
have h₁ : ∀ I J : LieIdeal R L, D₁ (I ⊔ J) ≤ D₁ I ⊔ J := by
simp [D₁, LieSubmodule.lie_le_right, LieSubmodule.lie_le_left, le_sup_of_le_right]
rw [← D₁.iterate_sup_le_sup_iff] at h₁
exact h₁ k l I J
#align lie_algebra.derived_series_of_ideal_add_le_add LieAlgebra.derivedSeriesOfIdeal_add_le_add
theorem derivedSeries_of_bot_eq_bot (k : ℕ) : derivedSeriesOfIdeal R L k ⊥ = ⊥ := by
rw [eq_bot_iff]; exact derivedSeriesOfIdeal_le_self ⊥ k
#align lie_algebra.derived_series_of_bot_eq_bot LieAlgebra.derivedSeries_of_bot_eq_bot
theorem abelian_iff_derived_one_eq_bot : IsLieAbelian I ↔ derivedSeriesOfIdeal R L 1 I = ⊥ := by
rw [derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_zero,
LieSubmodule.lie_abelian_iff_lie_self_eq_bot]
#align lie_algebra.abelian_iff_derived_one_eq_bot LieAlgebra.abelian_iff_derived_one_eq_bot
| Mathlib/Algebra/Lie/Solvable.lean | 136 | 138 | theorem abelian_iff_derived_succ_eq_bot (I : LieIdeal R L) (k : ℕ) :
IsLieAbelian (derivedSeriesOfIdeal R L k I) ↔ derivedSeriesOfIdeal R L (k + 1) I = ⊥ := by |
rw [add_comm, derivedSeriesOfIdeal_add I 1 k, abelian_iff_derived_one_eq_bot]
|
import Mathlib.Algebra.Order.Monoid.Defs
import Mathlib.Algebra.Order.Sub.Defs
import Mathlib.Util.AssertExists
#align_import algebra.order.group.defs from "leanprover-community/mathlib"@"b599f4e4e5cf1fbcb4194503671d3d9e569c1fce"
open Function
universe u
variable {α : Type u}
class OrderedAddCommGroup (α : Type u) extends AddCommGroup α, PartialOrder α where
protected add_le_add_left : ∀ a b : α, a ≤ b → ∀ c : α, c + a ≤ c + b
#align ordered_add_comm_group OrderedAddCommGroup
class OrderedCommGroup (α : Type u) extends CommGroup α, PartialOrder α where
protected mul_le_mul_left : ∀ a b : α, a ≤ b → ∀ c : α, c * a ≤ c * b
#align ordered_comm_group OrderedCommGroup
attribute [to_additive] OrderedCommGroup
@[to_additive]
instance OrderedCommGroup.to_covariantClass_left_le (α : Type u) [OrderedCommGroup α] :
CovariantClass α α (· * ·) (· ≤ ·) where
elim a b c bc := OrderedCommGroup.mul_le_mul_left b c bc a
#align ordered_comm_group.to_covariant_class_left_le OrderedCommGroup.to_covariantClass_left_le
#align ordered_add_comm_group.to_covariant_class_left_le OrderedAddCommGroup.to_covariantClass_left_le
-- See note [lower instance priority]
@[to_additive OrderedAddCommGroup.toOrderedCancelAddCommMonoid]
instance (priority := 100) OrderedCommGroup.toOrderedCancelCommMonoid [OrderedCommGroup α] :
OrderedCancelCommMonoid α :=
{ ‹OrderedCommGroup α› with le_of_mul_le_mul_left := fun a b c ↦ le_of_mul_le_mul_left' }
#align ordered_comm_group.to_ordered_cancel_comm_monoid OrderedCommGroup.toOrderedCancelCommMonoid
#align ordered_add_comm_group.to_ordered_cancel_add_comm_monoid OrderedAddCommGroup.toOrderedCancelAddCommMonoid
example (α : Type u) [OrderedAddCommGroup α] : CovariantClass α α (swap (· + ·)) (· < ·) :=
IsRightCancelAdd.covariant_swap_add_lt_of_covariant_swap_add_le α
-- Porting note: this instance is not used,
-- and causes timeouts after lean4#2210.
-- It was introduced in https://github.com/leanprover-community/mathlib/pull/17564
-- but without the motivation clearly explained.
@[to_additive "A choice-free shortcut instance."]
theorem OrderedCommGroup.to_contravariantClass_left_le (α : Type u) [OrderedCommGroup α] :
ContravariantClass α α (· * ·) (· ≤ ·) where
elim a b c bc := by simpa using mul_le_mul_left' bc a⁻¹
#align ordered_comm_group.to_contravariant_class_left_le OrderedCommGroup.to_contravariantClass_left_le
#align ordered_add_comm_group.to_contravariant_class_left_le OrderedAddCommGroup.to_contravariantClass_left_le
-- Porting note: this instance is not used,
-- and causes timeouts after lean4#2210.
-- See further explanation on `OrderedCommGroup.to_contravariantClass_left_le`.
@[to_additive "A choice-free shortcut instance."]
theorem OrderedCommGroup.to_contravariantClass_right_le (α : Type u) [OrderedCommGroup α] :
ContravariantClass α α (swap (· * ·)) (· ≤ ·) where
elim a b c bc := by simpa using mul_le_mul_right' bc a⁻¹
#align ordered_comm_group.to_contravariant_class_right_le OrderedCommGroup.to_contravariantClass_right_le
#align ordered_add_comm_group.to_contravariant_class_right_le OrderedAddCommGroup.to_contravariantClass_right_le
section Group
variable [Group α]
section TypeclassesRightLE
variable [LE α] [CovariantClass α α (swap (· * ·)) (· ≤ ·)] {a b c : α}
@[to_additive (attr := simp) "Uses `right` co(ntra)variant."]
theorem Right.inv_le_one_iff : a⁻¹ ≤ 1 ↔ 1 ≤ a := by
rw [← mul_le_mul_iff_right a]
simp
#align right.inv_le_one_iff Right.inv_le_one_iff
#align right.neg_nonpos_iff Right.neg_nonpos_iff
@[to_additive (attr := simp) "Uses `right` co(ntra)variant."]
theorem Right.one_le_inv_iff : 1 ≤ a⁻¹ ↔ a ≤ 1 := by
rw [← mul_le_mul_iff_right a]
simp
#align right.one_le_inv_iff Right.one_le_inv_iff
#align right.nonneg_neg_iff Right.nonneg_neg_iff
@[to_additive neg_le_iff_add_nonneg]
theorem inv_le_iff_one_le_mul : a⁻¹ ≤ b ↔ 1 ≤ b * a :=
(mul_le_mul_iff_right a).symm.trans <| by rw [inv_mul_self]
#align inv_le_iff_one_le_mul inv_le_iff_one_le_mul
#align neg_le_iff_add_nonneg neg_le_iff_add_nonneg
@[to_additive]
theorem le_inv_iff_mul_le_one_right : a ≤ b⁻¹ ↔ a * b ≤ 1 :=
(mul_le_mul_iff_right b).symm.trans <| by rw [inv_mul_self]
#align le_inv_iff_mul_le_one_right le_inv_iff_mul_le_one_right
#align le_neg_iff_add_nonpos_right le_neg_iff_add_nonpos_right
@[to_additive (attr := simp)]
theorem mul_inv_le_iff_le_mul : a * b⁻¹ ≤ c ↔ a ≤ c * b :=
(mul_le_mul_iff_right b).symm.trans <| by rw [inv_mul_cancel_right]
#align mul_inv_le_iff_le_mul mul_inv_le_iff_le_mul
#align add_neg_le_iff_le_add add_neg_le_iff_le_add
@[to_additive (attr := simp)]
theorem le_mul_inv_iff_mul_le : c ≤ a * b⁻¹ ↔ c * b ≤ a :=
(mul_le_mul_iff_right b).symm.trans <| by rw [inv_mul_cancel_right]
#align le_mul_inv_iff_mul_le le_mul_inv_iff_mul_le
#align le_add_neg_iff_add_le le_add_neg_iff_add_le
-- Porting note (#10618): `simp` can prove this
@[to_additive]
theorem mul_inv_le_one_iff_le : a * b⁻¹ ≤ 1 ↔ a ≤ b :=
mul_inv_le_iff_le_mul.trans <| by rw [one_mul]
#align mul_inv_le_one_iff_le mul_inv_le_one_iff_le
#align add_neg_nonpos_iff_le add_neg_nonpos_iff_le
@[to_additive]
| Mathlib/Algebra/Order/Group/Defs.lean | 261 | 262 | theorem le_mul_inv_iff_le : 1 ≤ a * b⁻¹ ↔ b ≤ a := by |
rw [← mul_le_mul_iff_right b, one_mul, inv_mul_cancel_right]
|
import Mathlib.CategoryTheory.Limits.Shapes.CommSq
import Mathlib.CategoryTheory.Limits.Shapes.Diagonal
import Mathlib.CategoryTheory.MorphismProperty.Composition
universe v u
namespace CategoryTheory
open Limits
namespace MorphismProperty
variable {C : Type u} [Category.{v} C]
def StableUnderBaseChange (P : MorphismProperty C) : Prop :=
∀ ⦃X Y Y' S : C⦄ ⦃f : X ⟶ S⦄ ⦃g : Y ⟶ S⦄ ⦃f' : Y' ⟶ Y⦄ ⦃g' : Y' ⟶ X⦄ (_ : IsPullback f' g' g f)
(_ : P g), P g'
#align category_theory.morphism_property.stable_under_base_change CategoryTheory.MorphismProperty.StableUnderBaseChange
def StableUnderCobaseChange (P : MorphismProperty C) : Prop :=
∀ ⦃A A' B B' : C⦄ ⦃f : A ⟶ A'⦄ ⦃g : A ⟶ B⦄ ⦃f' : B ⟶ B'⦄ ⦃g' : A' ⟶ B'⦄ (_ : IsPushout g f f' g')
(_ : P f), P f'
#align category_theory.morphism_property.stable_under_cobase_change CategoryTheory.MorphismProperty.StableUnderCobaseChange
theorem StableUnderBaseChange.mk {P : MorphismProperty C} [HasPullbacks C] (hP₁ : RespectsIso P)
(hP₂ : ∀ (X Y S : C) (f : X ⟶ S) (g : Y ⟶ S) (_ : P g), P (pullback.fst : pullback f g ⟶ X)) :
StableUnderBaseChange P := fun X Y Y' S f g f' g' sq hg => by
let e := sq.flip.isoPullback
rw [← hP₁.cancel_left_isIso e.inv, sq.flip.isoPullback_inv_fst]
exact hP₂ _ _ _ f g hg
#align category_theory.morphism_property.stable_under_base_change.mk CategoryTheory.MorphismProperty.StableUnderBaseChange.mk
theorem StableUnderBaseChange.respectsIso {P : MorphismProperty C} (hP : StableUnderBaseChange P) :
RespectsIso P := by
apply RespectsIso.of_respects_arrow_iso
intro f g e
exact hP (IsPullback.of_horiz_isIso (CommSq.mk e.inv.w))
#align category_theory.morphism_property.stable_under_base_change.respects_iso CategoryTheory.MorphismProperty.StableUnderBaseChange.respectsIso
theorem StableUnderBaseChange.fst {P : MorphismProperty C} (hP : StableUnderBaseChange P)
{X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [HasPullback f g] (H : P g) :
P (pullback.fst : pullback f g ⟶ X) :=
hP (IsPullback.of_hasPullback f g).flip H
#align category_theory.morphism_property.stable_under_base_change.fst CategoryTheory.MorphismProperty.StableUnderBaseChange.fst
theorem StableUnderBaseChange.snd {P : MorphismProperty C} (hP : StableUnderBaseChange P)
{X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [HasPullback f g] (H : P f) :
P (pullback.snd : pullback f g ⟶ Y) :=
hP (IsPullback.of_hasPullback f g) H
#align category_theory.morphism_property.stable_under_base_change.snd CategoryTheory.MorphismProperty.StableUnderBaseChange.snd
theorem StableUnderBaseChange.baseChange_obj [HasPullbacks C] {P : MorphismProperty C}
(hP : StableUnderBaseChange P) {S S' : C} (f : S' ⟶ S) (X : Over S) (H : P X.hom) :
P ((Over.baseChange f).obj X).hom :=
hP.snd X.hom f H
#align category_theory.morphism_property.stable_under_base_change.base_change_obj CategoryTheory.MorphismProperty.StableUnderBaseChange.baseChange_obj
theorem StableUnderBaseChange.baseChange_map [HasPullbacks C] {P : MorphismProperty C}
(hP : StableUnderBaseChange P) {S S' : C} (f : S' ⟶ S) {X Y : Over S} (g : X ⟶ Y)
(H : P g.left) : P ((Over.baseChange f).map g).left := by
let e :=
pullbackRightPullbackFstIso Y.hom f g.left ≪≫
pullback.congrHom (g.w.trans (Category.comp_id _)) rfl
have : e.inv ≫ pullback.snd = ((Over.baseChange f).map g).left := by
ext <;> dsimp [e] <;> simp
rw [← this, hP.respectsIso.cancel_left_isIso]
exact hP.snd _ _ H
#align category_theory.morphism_property.stable_under_base_change.base_change_map CategoryTheory.MorphismProperty.StableUnderBaseChange.baseChange_map
| Mathlib/CategoryTheory/MorphismProperty/Limits.lean | 95 | 112 | theorem StableUnderBaseChange.pullback_map [HasPullbacks C] {P : MorphismProperty C}
(hP : StableUnderBaseChange P) [P.IsStableUnderComposition] {S X X' Y Y' : C} {f : X ⟶ S}
{g : Y ⟶ S} {f' : X' ⟶ S} {g' : Y' ⟶ S} {i₁ : X ⟶ X'} {i₂ : Y ⟶ Y'} (h₁ : P i₁) (h₂ : P i₂)
(e₁ : f = i₁ ≫ f') (e₂ : g = i₂ ≫ g') :
P (pullback.map f g f' g' i₁ i₂ (𝟙 _) ((Category.comp_id _).trans e₁)
((Category.comp_id _).trans e₂)) := by |
have :
pullback.map f g f' g' i₁ i₂ (𝟙 _) ((Category.comp_id _).trans e₁)
((Category.comp_id _).trans e₂) =
((pullbackSymmetry _ _).hom ≫
((Over.baseChange _).map (Over.homMk _ e₂.symm : Over.mk g ⟶ Over.mk g')).left) ≫
(pullbackSymmetry _ _).hom ≫
((Over.baseChange g').map (Over.homMk _ e₁.symm : Over.mk f ⟶ Over.mk f')).left := by
ext <;> dsimp <;> simp
rw [this]
apply P.comp_mem <;> rw [hP.respectsIso.cancel_left_isIso]
exacts [hP.baseChange_map _ (Over.homMk _ e₂.symm : Over.mk g ⟶ Over.mk g') h₂,
hP.baseChange_map _ (Over.homMk _ e₁.symm : Over.mk f ⟶ Over.mk f') h₁]
|
import Mathlib.Analysis.InnerProductSpace.Rayleigh
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Algebra.DirectSum.Decomposition
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
#align_import analysis.inner_product_space.spectrum from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
variable {𝕜 : Type*} [RCLike 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y
open scoped ComplexConjugate
open Module.End
namespace LinearMap
namespace IsSymmetric
variable {T : E →ₗ[𝕜] E} (hT : T.IsSymmetric)
theorem invariant_orthogonalComplement_eigenspace (μ : 𝕜) (v : E) (hv : v ∈ (eigenspace T μ)ᗮ) :
T v ∈ (eigenspace T μ)ᗮ := by
intro w hw
have : T w = (μ : 𝕜) • w := by rwa [mem_eigenspace_iff] at hw
simp [← hT w, this, inner_smul_left, hv w hw]
#align linear_map.is_symmetric.invariant_orthogonal_eigenspace LinearMap.IsSymmetric.invariant_orthogonalComplement_eigenspace
| Mathlib/Analysis/InnerProductSpace/Spectrum.lean | 76 | 79 | theorem conj_eigenvalue_eq_self {μ : 𝕜} (hμ : HasEigenvalue T μ) : conj μ = μ := by |
obtain ⟨v, hv₁, hv₂⟩ := hμ.exists_hasEigenvector
rw [mem_eigenspace_iff] at hv₁
simpa [hv₂, inner_smul_left, inner_smul_right, hv₁] using hT v v
|
import Mathlib.Analysis.NormedSpace.Multilinear.Basic
import Mathlib.Analysis.NormedSpace.Units
import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness
import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul
#align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a"
noncomputable section
open Topology
open Filter (Tendsto)
open Metric ContinuousLinearMap
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*}
[NormedAddCommGroup G] [NormedSpace 𝕜 G]
structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends
IsLinearMap 𝕜 f : Prop where
bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖
#align is_bounded_linear_map IsBoundedLinearMap
theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ)
(h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f :=
⟨hf,
by_cases
(fun (this : M ≤ 0) =>
⟨1, zero_lt_one, fun x =>
(h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩)
fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩
#align is_linear_map.with_bound IsLinearMap.with_bound
theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f :=
{ f.toLinearMap.isLinear with bound := f.bound }
#align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap
namespace IsBoundedLinearMap
def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F :=
IsLinearMap.mk' _ h.toIsLinearMap
#align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap
def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F :=
{ toLinearMap f hf with
cont :=
let ⟨C, _, hC⟩ := hf.bound
AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC }
#align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap
theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) :=
(0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl]
#align is_bounded_linear_map.zero IsBoundedLinearMap.zero
theorem id : IsBoundedLinearMap 𝕜 fun x : E => x :=
LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl]
#align is_bounded_linear_map.id IsBoundedLinearMap.id
theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by
refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_
rw [one_mul]
exact le_max_left _ _
#align is_bounded_linear_map.fst IsBoundedLinearMap.fst
theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by
refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_
rw [one_mul]
exact le_max_right _ _
#align is_bounded_linear_map.snd IsBoundedLinearMap.snd
variable {f g : E → F}
theorem smul (c : 𝕜) (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 (c • f) :=
let ⟨hlf, M, _, hM⟩ := hf
(c • hlf.mk' f).isLinear.with_bound (‖c‖ * M) fun x =>
calc
‖c • f x‖ = ‖c‖ * ‖f x‖ := norm_smul c (f x)
_ ≤ ‖c‖ * (M * ‖x‖) := mul_le_mul_of_nonneg_left (hM _) (norm_nonneg _)
_ = ‖c‖ * M * ‖x‖ := (mul_assoc _ _ _).symm
#align is_bounded_linear_map.smul IsBoundedLinearMap.smul
| Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean | 139 | 141 | theorem neg (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 fun e => -f e := by |
rw [show (fun e => -f e) = fun e => (-1 : 𝕜) • f e by funext; simp]
exact smul (-1) hf
|
import Mathlib.Data.Matrix.Basic
import Mathlib.Data.PEquiv
#align_import data.matrix.pequiv from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
namespace PEquiv
open Matrix
universe u v
variable {k l m n : Type*}
variable {α : Type v}
open Matrix
def toMatrix [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : Matrix m n α :=
of fun i j => if j ∈ f i then (1 : α) else 0
#align pequiv.to_matrix PEquiv.toMatrix
-- TODO: set as an equation lemma for `toMatrix`, see mathlib4#3024
@[simp]
theorem toMatrix_apply [DecidableEq n] [Zero α] [One α] (f : m ≃. n) (i j) :
toMatrix f i j = if j ∈ f i then (1 : α) else 0 :=
rfl
#align pequiv.to_matrix_apply PEquiv.toMatrix_apply
theorem mul_matrix_apply [Fintype m] [DecidableEq m] [Semiring α] (f : l ≃. m) (M : Matrix m n α)
(i j) : (f.toMatrix * M :) i j = Option.casesOn (f i) 0 fun fi => M fi j := by
dsimp [toMatrix, Matrix.mul_apply]
cases' h : f i with fi
· simp [h]
· rw [Finset.sum_eq_single fi] <;> simp (config := { contextual := true }) [h, eq_comm]
#align pequiv.mul_matrix_apply PEquiv.mul_matrix_apply
theorem toMatrix_symm [DecidableEq m] [DecidableEq n] [Zero α] [One α] (f : m ≃. n) :
(f.symm.toMatrix : Matrix n m α) = f.toMatrixᵀ := by
ext
simp only [transpose, mem_iff_mem f, toMatrix_apply]
congr
#align pequiv.to_matrix_symm PEquiv.toMatrix_symm
@[simp]
theorem toMatrix_refl [DecidableEq n] [Zero α] [One α] :
((PEquiv.refl n).toMatrix : Matrix n n α) = 1 := by
ext
simp [toMatrix_apply, one_apply]
#align pequiv.to_matrix_refl PEquiv.toMatrix_refl
theorem matrix_mul_apply [Fintype m] [Semiring α] [DecidableEq n] (M : Matrix l m α) (f : m ≃. n)
(i j) : (M * f.toMatrix :) i j = Option.casesOn (f.symm j) 0 fun fj => M i fj := by
dsimp [toMatrix, Matrix.mul_apply]
cases' h : f.symm j with fj
· simp [h, ← f.eq_some_iff]
· rw [Finset.sum_eq_single fj]
· simp [h, ← f.eq_some_iff]
· rintro b - n
simp [h, ← f.eq_some_iff, n.symm]
· simp
#align pequiv.matrix_mul_apply PEquiv.matrix_mul_apply
theorem toPEquiv_mul_matrix [Fintype m] [DecidableEq m] [Semiring α] (f : m ≃ m)
(M : Matrix m n α) : f.toPEquiv.toMatrix * M = M.submatrix f id := by
ext i j
rw [mul_matrix_apply, Equiv.toPEquiv_apply, submatrix_apply, id]
#align pequiv.to_pequiv_mul_matrix PEquiv.toPEquiv_mul_matrix
theorem mul_toPEquiv_toMatrix {m n α : Type*} [Fintype n] [DecidableEq n] [Semiring α] (f : n ≃ n)
(M : Matrix m n α) : M * f.toPEquiv.toMatrix = M.submatrix id f.symm :=
Matrix.ext fun i j => by
rw [PEquiv.matrix_mul_apply, ← Equiv.toPEquiv_symm, Equiv.toPEquiv_apply,
Matrix.submatrix_apply, id]
#align pequiv.mul_to_pequiv_to_matrix PEquiv.mul_toPEquiv_toMatrix
| Mathlib/Data/Matrix/PEquiv.lean | 109 | 114 | theorem toMatrix_trans [Fintype m] [DecidableEq m] [DecidableEq n] [Semiring α] (f : l ≃. m)
(g : m ≃. n) : ((f.trans g).toMatrix : Matrix l n α) = f.toMatrix * g.toMatrix := by |
ext i j
rw [mul_matrix_apply]
dsimp [toMatrix, PEquiv.trans]
cases f i <;> simp
|
import Mathlib.Algebra.Lie.CartanSubalgebra
import Mathlib.Algebra.Lie.Weights.Basic
suppress_compilation
open Set
variable {R L : Type*} [CommRing R] [LieRing L] [LieAlgebra R L]
(H : LieSubalgebra R L) [LieAlgebra.IsNilpotent R H]
{M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
namespace LieAlgebra
open scoped TensorProduct
open TensorProduct.LieModule LieModule
abbrev rootSpace (χ : H → R) : LieSubmodule R H L :=
weightSpace L χ
#align lie_algebra.root_space LieAlgebra.rootSpace
theorem zero_rootSpace_eq_top_of_nilpotent [IsNilpotent R L] :
rootSpace (⊤ : LieSubalgebra R L) 0 = ⊤ :=
zero_weightSpace_eq_top_of_nilpotent L
#align lie_algebra.zero_root_space_eq_top_of_nilpotent LieAlgebra.zero_rootSpace_eq_top_of_nilpotent
@[simp]
theorem rootSpace_comap_eq_weightSpace (χ : H → R) :
(rootSpace H χ).comap H.incl' = weightSpace H χ :=
comap_weightSpace_eq_of_injective Subtype.coe_injective
#align lie_algebra.root_space_comap_eq_weight_space LieAlgebra.rootSpace_comap_eq_weightSpace
variable {H}
theorem lie_mem_weightSpace_of_mem_weightSpace {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) : ⁅x, m⁆ ∈ weightSpace M (χ₁ + χ₂) := by
rw [weightSpace, LieSubmodule.mem_iInf]
intro y
replace hx : x ∈ weightSpaceOf L (χ₁ y) y := by
rw [rootSpace, weightSpace, LieSubmodule.mem_iInf] at hx; exact hx y
replace hm : m ∈ weightSpaceOf M (χ₂ y) y := by
rw [weightSpace, LieSubmodule.mem_iInf] at hm; exact hm y
exact lie_mem_maxGenEigenspace_toEnd hx hm
#align lie_algebra.lie_mem_weight_space_of_mem_weight_space LieAlgebra.lie_mem_weightSpace_of_mem_weightSpace
lemma toEnd_pow_apply_mem {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) (n) :
(toEnd R L M x ^ n : Module.End R M) m ∈ weightSpace M (n • χ₁ + χ₂) := by
induction n
· simpa using hm
· next n IH =>
simp only [pow_succ', LinearMap.mul_apply, toEnd_apply_apply,
Nat.cast_add, Nat.cast_one, rootSpace]
convert lie_mem_weightSpace_of_mem_weightSpace hx IH using 2
rw [succ_nsmul, ← add_assoc, add_comm (n • _)]
variable (R L H M)
def rootSpaceWeightSpaceProductAux {χ₁ χ₂ χ₃ : H → R} (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ →ₗ[R] weightSpace M χ₂ →ₗ[R] weightSpace M χ₃ where
toFun x :=
{ toFun := fun m =>
⟨⁅(x : L), (m : M)⁆, hχ ▸ lie_mem_weightSpace_of_mem_weightSpace x.property m.property⟩
map_add' := fun m n => by simp only [LieSubmodule.coe_add, lie_add]; rfl
map_smul' := fun t m => by
dsimp only
conv_lhs =>
congr
rw [LieSubmodule.coe_smul, lie_smul]
rfl }
map_add' x y := by
ext m
simp only [AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, add_lie, LinearMap.coe_mk,
AddHom.coe_mk, LinearMap.add_apply, AddSubmonoid.mk_add_mk]
map_smul' t x := by
simp only [RingHom.id_apply]
ext m
simp only [SetLike.val_smul, smul_lie, LinearMap.coe_mk, AddHom.coe_mk, LinearMap.smul_apply,
SetLike.mk_smul_mk]
#align lie_algebra.root_space_weight_space_product_aux LieAlgebra.rootSpaceWeightSpaceProductAux
-- Porting note (#11083): this def is _really_ slow
-- See https://github.com/leanprover-community/mathlib4/issues/5028
def rootSpaceWeightSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] weightSpace M χ₂ →ₗ⁅R,H⁆ weightSpace M χ₃ :=
liftLie R H (rootSpace H χ₁) (weightSpace M χ₂) (weightSpace M χ₃)
{ toLinearMap := rootSpaceWeightSpaceProductAux R L H M hχ
map_lie' := fun {x y} => by
ext m
simp only [rootSpaceWeightSpaceProductAux, LieSubmodule.coe_bracket,
LieSubalgebra.coe_bracket_of_module, lie_lie, LinearMap.coe_mk, AddHom.coe_mk,
Subtype.coe_mk, LieHom.lie_apply, LieSubmodule.coe_sub] }
#align lie_algebra.root_space_weight_space_product LieAlgebra.rootSpaceWeightSpaceProduct
@[simp]
theorem coe_rootSpaceWeightSpaceProduct_tmul (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃)
(x : rootSpace H χ₁) (m : weightSpace M χ₂) :
(rootSpaceWeightSpaceProduct R L H M χ₁ χ₂ χ₃ hχ (x ⊗ₜ m) : M) = ⁅(x : L), (m : M)⁆ := by
simp only [rootSpaceWeightSpaceProduct, rootSpaceWeightSpaceProductAux, coe_liftLie_eq_lift_coe,
AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, lift_apply, LinearMap.coe_mk, AddHom.coe_mk,
Submodule.coe_mk]
#align lie_algebra.coe_root_space_weight_space_product_tmul LieAlgebra.coe_rootSpaceWeightSpaceProduct_tmul
theorem mapsTo_toEnd_weightSpace_add_of_mem_rootSpace (α χ : H → R)
{x : L} (hx : x ∈ rootSpace H α) :
MapsTo (toEnd R L M x) (weightSpace M χ) (weightSpace M (α + χ)) := by
intro m hm
let x' : rootSpace H α := ⟨x, hx⟩
let m' : weightSpace M χ := ⟨m, hm⟩
exact (rootSpaceWeightSpaceProduct R L H M α χ (α + χ) rfl (x' ⊗ₜ m')).property
def rootSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] rootSpace H χ₂ →ₗ⁅R,H⁆ rootSpace H χ₃ :=
rootSpaceWeightSpaceProduct R L H L χ₁ χ₂ χ₃ hχ
#align lie_algebra.root_space_product LieAlgebra.rootSpaceProduct
@[simp]
theorem rootSpaceProduct_def : rootSpaceProduct R L H = rootSpaceWeightSpaceProduct R L H L := rfl
#align lie_algebra.root_space_product_def LieAlgebra.rootSpaceProduct_def
theorem rootSpaceProduct_tmul
(χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) (x : rootSpace H χ₁) (y : rootSpace H χ₂) :
(rootSpaceProduct R L H χ₁ χ₂ χ₃ hχ (x ⊗ₜ y) : L) = ⁅(x : L), (y : L)⁆ := by
simp only [rootSpaceProduct_def, coe_rootSpaceWeightSpaceProduct_tmul]
#align lie_algebra.root_space_product_tmul LieAlgebra.rootSpaceProduct_tmul
def zeroRootSubalgebra : LieSubalgebra R L :=
{ toSubmodule := (rootSpace H 0 : Submodule R L)
lie_mem' := fun {x y hx hy} => by
let xy : rootSpace H 0 ⊗[R] rootSpace H 0 := ⟨x, hx⟩ ⊗ₜ ⟨y, hy⟩
suffices (rootSpaceProduct R L H 0 0 0 (add_zero 0) xy : L) ∈ rootSpace H 0 by
rwa [rootSpaceProduct_tmul, Subtype.coe_mk, Subtype.coe_mk] at this
exact (rootSpaceProduct R L H 0 0 0 (add_zero 0) xy).property }
#align lie_algebra.zero_root_subalgebra LieAlgebra.zeroRootSubalgebra
@[simp]
theorem coe_zeroRootSubalgebra : (zeroRootSubalgebra R L H : Submodule R L) = rootSpace H 0 := rfl
#align lie_algebra.coe_zero_root_subalgebra LieAlgebra.coe_zeroRootSubalgebra
theorem mem_zeroRootSubalgebra (x : L) :
x ∈ zeroRootSubalgebra R L H ↔ ∀ y : H, ∃ k : ℕ, (toEnd R H L y ^ k) x = 0 := by
change x ∈ rootSpace H 0 ↔ _
simp only [mem_weightSpace, Pi.zero_apply, zero_smul, sub_zero]
#align lie_algebra.mem_zero_root_subalgebra LieAlgebra.mem_zeroRootSubalgebra
theorem toLieSubmodule_le_rootSpace_zero : H.toLieSubmodule ≤ rootSpace H 0 := by
intro x hx
simp only [LieSubalgebra.mem_toLieSubmodule] at hx
simp only [mem_weightSpace, Pi.zero_apply, sub_zero, zero_smul]
intro y
obtain ⟨k, hk⟩ := (inferInstance : IsNilpotent R H)
use k
let f : Module.End R H := toEnd R H H y
let g : Module.End R L := toEnd R H L y
have hfg : g.comp (H : Submodule R L).subtype = (H : Submodule R L).subtype.comp f := by
ext z
simp only [toEnd_apply_apply, Submodule.subtype_apply,
LieSubalgebra.coe_bracket_of_module, LieSubalgebra.coe_bracket, Function.comp_apply,
LinearMap.coe_comp]
rfl
change (g ^ k).comp (H : Submodule R L).subtype ⟨x, hx⟩ = 0
rw [LinearMap.commute_pow_left_of_commute hfg k]
have h := iterate_toEnd_mem_lowerCentralSeries R H H y ⟨x, hx⟩ k
rw [hk, LieSubmodule.mem_bot] at h
simp only [Submodule.subtype_apply, Function.comp_apply, LinearMap.pow_apply, LinearMap.coe_comp,
Submodule.coe_eq_zero]
exact h
#align lie_algebra.to_lie_submodule_le_root_space_zero LieAlgebra.toLieSubmodule_le_rootSpace_zero
instance [Nontrivial H] : Nontrivial (weightSpace L (0 : H → R)) := by
obtain ⟨⟨x, hx⟩, ⟨y, hy⟩, e⟩ := exists_pair_ne H
exact ⟨⟨x, toLieSubmodule_le_rootSpace_zero R L H hx⟩,
⟨y, toLieSubmodule_le_rootSpace_zero R L H hy⟩, by simpa using e⟩
theorem le_zeroRootSubalgebra : H ≤ zeroRootSubalgebra R L H := by
rw [← LieSubalgebra.coe_submodule_le_coe_submodule, ← H.coe_toLieSubmodule,
coe_zeroRootSubalgebra, LieSubmodule.coeSubmodule_le_coeSubmodule]
exact toLieSubmodule_le_rootSpace_zero R L H
#align lie_algebra.le_zero_root_subalgebra LieAlgebra.le_zeroRootSubalgebra
@[simp]
theorem zeroRootSubalgebra_normalizer_eq_self :
(zeroRootSubalgebra R L H).normalizer = zeroRootSubalgebra R L H := by
refine le_antisymm ?_ (LieSubalgebra.le_normalizer _)
intro x hx
rw [LieSubalgebra.mem_normalizer_iff] at hx
rw [mem_zeroRootSubalgebra]
rintro ⟨y, hy⟩
specialize hx y (le_zeroRootSubalgebra R L H hy)
rw [mem_zeroRootSubalgebra] at hx
obtain ⟨k, hk⟩ := hx ⟨y, hy⟩
rw [← lie_skew, LinearMap.map_neg, neg_eq_zero] at hk
use k + 1
rw [LinearMap.iterate_succ, LinearMap.coe_comp, Function.comp_apply, toEnd_apply_apply,
LieSubalgebra.coe_bracket_of_module, Submodule.coe_mk, hk]
#align lie_algebra.zero_root_subalgebra_normalizer_eq_self LieAlgebra.zeroRootSubalgebra_normalizer_eq_self
theorem is_cartan_of_zeroRootSubalgebra_eq (h : zeroRootSubalgebra R L H = H) :
H.IsCartanSubalgebra :=
{ nilpotent := inferInstance
self_normalizing := by rw [← h]; exact zeroRootSubalgebra_normalizer_eq_self R L H }
#align lie_algebra.is_cartan_of_zero_root_subalgebra_eq LieAlgebra.is_cartan_of_zeroRootSubalgebra_eq
@[simp]
| Mathlib/Algebra/Lie/Weights/Cartan.lean | 246 | 251 | theorem zeroRootSubalgebra_eq_of_is_cartan (H : LieSubalgebra R L) [H.IsCartanSubalgebra]
[IsNoetherian R L] : zeroRootSubalgebra R L H = H := by |
refine le_antisymm ?_ (le_zeroRootSubalgebra R L H)
suffices rootSpace H 0 ≤ H.toLieSubmodule by exact fun x hx => this hx
obtain ⟨k, hk⟩ := (rootSpace H 0).isNilpotent_iff_exists_self_le_ucs.mp (by infer_instance)
exact hk.trans (LieSubmodule.ucs_le_of_normalizer_eq_self (by simp) k)
|
import Mathlib.Topology.Gluing
import Mathlib.Geometry.RingedSpace.OpenImmersion
import Mathlib.Geometry.RingedSpace.LocallyRingedSpace.HasColimits
#align_import algebraic_geometry.presheafed_space.gluing from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1"
set_option linter.uppercaseLean3 false
noncomputable section
open TopologicalSpace CategoryTheory Opposite
open CategoryTheory.Limits AlgebraicGeometry.PresheafedSpace
open CategoryTheory.GlueData
namespace AlgebraicGeometry
universe v u
variable (C : Type u) [Category.{v} C]
namespace PresheafedSpace
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure GlueData extends GlueData (PresheafedSpace.{u, v, v} C) where
f_open : ∀ i j, IsOpenImmersion (f i j)
#align algebraic_geometry.PresheafedSpace.glue_data AlgebraicGeometry.PresheafedSpace.GlueData
attribute [instance] GlueData.f_open
namespace GlueData
variable {C}
variable (D : GlueData.{v, u} C)
local notation "𝖣" => D.toGlueData
local notation "π₁ " i ", " j ", " k => @pullback.fst _ _ _ _ _ (D.f i j) (D.f i k) _
local notation "π₂ " i ", " j ", " k => @pullback.snd _ _ _ _ _ (D.f i j) (D.f i k) _
set_option quotPrecheck false
local notation "π₁⁻¹ " i ", " j ", " k =>
(PresheafedSpace.IsOpenImmersion.pullbackFstOfRight (D.f i j) (D.f i k)).invApp
set_option quotPrecheck false
local notation "π₂⁻¹ " i ", " j ", " k =>
(PresheafedSpace.IsOpenImmersion.pullbackSndOfLeft (D.f i j) (D.f i k)).invApp
abbrev toTopGlueData : TopCat.GlueData :=
{ f_open := fun i j => (D.f_open i j).base_open
toGlueData := 𝖣.mapGlueData (forget C) }
#align algebraic_geometry.PresheafedSpace.glue_data.to_Top_glue_data AlgebraicGeometry.PresheafedSpace.GlueData.toTopGlueData
theorem ι_openEmbedding [HasLimits C] (i : D.J) : OpenEmbedding (𝖣.ι i).base := by
rw [← show _ = (𝖣.ι i).base from 𝖣.ι_gluedIso_inv (PresheafedSpace.forget _) _]
-- Porting note: added this erewrite
erw [coe_comp]
refine
OpenEmbedding.comp
(TopCat.homeoOfIso (𝖣.gluedIso (PresheafedSpace.forget _)).symm).openEmbedding
(D.toTopGlueData.ι_openEmbedding i)
#align algebraic_geometry.PresheafedSpace.glue_data.ι_open_embedding AlgebraicGeometry.PresheafedSpace.GlueData.ι_openEmbedding
theorem pullback_base (i j k : D.J) (S : Set (D.V (i, j)).carrier) :
(π₂ i, j, k) '' ((π₁ i, j, k) ⁻¹' S) = D.f i k ⁻¹' (D.f i j '' S) := by
have eq₁ : _ = (π₁ i, j, k).base := PreservesPullback.iso_hom_fst (forget C) _ _
have eq₂ : _ = (π₂ i, j, k).base := PreservesPullback.iso_hom_snd (forget C) _ _
rw [← eq₁, ← eq₂]
-- Porting note: `rw` to `erw` on `coe_comp`
erw [coe_comp]
rw [Set.image_comp]
-- Porting note: `rw` to `erw` on `coe_comp`
erw [coe_comp]
erw [Set.preimage_comp, Set.image_preimage_eq, TopCat.pullback_snd_image_fst_preimage]
-- now `erw` after #13170
· rfl
erw [← TopCat.epi_iff_surjective] -- now `erw` after #13170
infer_instance
#align algebraic_geometry.PresheafedSpace.glue_data.pullback_base AlgebraicGeometry.PresheafedSpace.GlueData.pullback_base
@[simp, reassoc]
| Mathlib/Geometry/RingedSpace/PresheafedSpace/Gluing.lean | 156 | 179 | theorem f_invApp_f_app (i j k : D.J) (U : Opens (D.V (i, j)).carrier) :
(D.f_open i j).invApp U ≫ (D.f i k).c.app _ =
(π₁ i, j, k).c.app (op U) ≫
(π₂⁻¹ i, j, k) (unop _) ≫
(D.V _).presheaf.map
(eqToHom
(by
delta IsOpenImmersion.openFunctor
dsimp only [Functor.op, IsOpenMap.functor, Opens.map, unop_op]
congr
apply pullback_base)) := by |
have := PresheafedSpace.congr_app (@pullback.condition _ _ _ _ _ (D.f i j) (D.f i k) _)
dsimp only [comp_c_app] at this
rw [← cancel_epi (inv ((D.f_open i j).invApp U)), IsIso.inv_hom_id_assoc,
IsOpenImmersion.inv_invApp]
simp_rw [Category.assoc]
erw [(π₁ i, j, k).c.naturality_assoc, reassoc_of% this, ← Functor.map_comp_assoc,
IsOpenImmersion.inv_naturality_assoc, IsOpenImmersion.app_invApp_assoc, ←
(D.V (i, k)).presheaf.map_comp, ← (D.V (i, k)).presheaf.map_comp]
-- Porting note: need to provide an explicit argument, otherwise Lean does not know which
-- category we are talking about
convert (Category.comp_id ((f D.toGlueData i k).c.app _)).symm
erw [(D.V (i, k)).presheaf.map_id]
rfl
|
import Mathlib.Init.Data.Nat.Notation
import Mathlib.Init.Order.Defs
set_option autoImplicit true
structure UFModel (n) where
parent : Fin n → Fin n
rank : Nat → Nat
rank_lt : ∀ i, (parent i).1 ≠ i → rank i < rank (parent i)
structure UFNode (α : Type*) where
parent : Nat
value : α
rank : Nat
inductive UFModel.Agrees (arr : Array α) (f : α → β) : ∀ {n}, (Fin n → β) → Prop
| mk : Agrees arr f fun i ↦ f (arr.get i)
namespace UFModel.Agrees
theorem mk' {arr : Array α} {f : α → β} {n} {g : Fin n → β} (e : n = arr.size)
(H : ∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = g ⟨i, h₂⟩) : Agrees arr f g := by
cases e
have : (fun i ↦ f (arr.get i)) = g := by funext ⟨i, h⟩; apply H
cases this; constructor
theorem size_eq {arr : Array α} {m : Fin n → β} (H : Agrees arr f m) : n = arr.size := by
cases H; rfl
| Mathlib/Data/UnionFind.lean | 82 | 84 | theorem get_eq {arr : Array α} {n} {m : Fin n → β} (H : Agrees arr f m) :
∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = m ⟨i, h₂⟩ := by |
cases H; exact fun i h _ ↦ rfl
|
import Mathlib.Topology.Compactness.SigmaCompact
import Mathlib.Topology.Connected.TotallyDisconnected
import Mathlib.Topology.Inseparable
#align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Function Set Filter Topology TopologicalSpace
open scoped Classical
universe u v
variable {X : Type*} {Y : Type*} [TopologicalSpace X]
section Separation
def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X =>
∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V
#align separated_nhds SeparatedNhds
theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by
simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ←
exists_and_left, and_assoc, and_comm, and_left_comm]
#align separated_nhds_iff_disjoint separatedNhds_iff_disjoint
alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint
class T0Space (X : Type u) [TopologicalSpace X] : Prop where
t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y
#align t0_space T0Space
theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ ∀ x y : X, Inseparable x y → x = y :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align t0_space_iff_inseparable t0Space_iff_inseparable
theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by
simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise]
#align t0_space_iff_not_inseparable t0Space_iff_not_inseparable
theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y :=
T0Space.t0 h
#align inseparable.eq Inseparable.eq
protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Injective f := fun _ _ h =>
(hf.inseparable_iff.1 <| .of_eq h).eq
#align inducing.injective Inducing.injective
protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Embedding f :=
⟨hf, hf.injective⟩
#align inducing.embedding Inducing.embedding
lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} :
Embedding f ↔ Inducing f :=
⟨Embedding.toInducing, Inducing.embedding⟩
#align embedding_iff_inducing embedding_iff_inducing
theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Injective (𝓝 : X → Filter X) :=
t0Space_iff_inseparable X
#align t0_space_iff_nhds_injective t0Space_iff_nhds_injective
theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) :=
(t0Space_iff_nhds_injective X).1 ‹_›
#align nhds_injective nhds_injective
theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y :=
nhds_injective.eq_iff
#align inseparable_iff_eq inseparable_iff_eq
@[simp]
theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b :=
nhds_injective.eq_iff
#align nhds_eq_nhds_iff nhds_eq_nhds_iff
@[simp]
theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X :=
funext₂ fun _ _ => propext inseparable_iff_eq
#align inseparable_eq_eq inseparable_eq_eq
theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs),
fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by
convert hb.nhds_hasBasis using 2
exact and_congr_right (h _)⟩
theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
inseparable_iff_eq.symm.trans hb.inseparable_iff
theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by
simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop,
inseparable_iff_forall_open, Pairwise]
#align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem
theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) :
∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) :=
(t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h
#align exists_is_open_xor_mem exists_isOpen_xor'_mem
def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X :=
{ specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with }
#align specialization_order specializationOrder
instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) :=
⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h =>
SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩
theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo)
exact (this.symm.subset hx).2 hxU
#align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton
theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2
⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩
#align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton
theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X}
(hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne
rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩
exact ⟨x, Vsub (mem_singleton x), Vcls⟩
#align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton
theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo)
exact hyU (this.symm.subset hy).2
#align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton
theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩
#align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton
theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite)
(hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by
lift s to Finset X using hfin
induction' s using Finset.strongInductionOn with s ihs
rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht)
· rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩
exact ⟨x, hts.1 hxt, hxo⟩
· -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩`
-- https://github.com/leanprover/std4/issues/116
rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x}
· exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩
refine minimal_nonempty_open_eq_singleton ho hne ?_
refine fun t hts htne hto => of_not_not fun hts' => ht ?_
lift t to Finset X using s.finite_toSet.subset hts
exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩
#align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite
theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] :
∃ x : X, IsOpen ({x} : Set X) :=
let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _)
univ_nonempty isOpen_univ
⟨x, h⟩
#align exists_open_singleton_of_fintype exists_open_singleton_of_finite
theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X :=
⟨fun _ _ h => hf <| (h.map hf').eq⟩
#align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous
protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y}
(hf : Embedding f) : T0Space X :=
t0Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t0_space Embedding.t0Space
instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) :=
embedding_subtype_val.t0Space
#align subtype.t0_space Subtype.t0Space
theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by
simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or]
#align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure
instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) :=
⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩
instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, T0Space (X i)] :
T0Space (∀ i, X i) :=
⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩
#align pi.t0_space Pi.instT0Space
instance ULift.instT0Space [T0Space X] : T0Space (ULift X) :=
embedding_uLift_down.t0Space
theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) :
T0Space X := by
refine ⟨fun x y hxy => ?_⟩
rcases h x y hxy with ⟨s, hxs, hys, hs⟩
lift x to s using hxs; lift y to s using hys
rw [← subtype_inseparable_iff] at hxy
exact congr_arg Subtype.val hxy.eq
#align t0_space.of_cover T0Space.of_cover
theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X :=
T0Space.of_cover fun x _ hxy =>
let ⟨s, hxs, hso, hs⟩ := h x
⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩
#align t0_space.of_open_cover T0Space.of_open_cover
@[mk_iff]
class R0Space (X : Type u) [TopologicalSpace X] : Prop where
specializes_symmetric : Symmetric (Specializes : X → X → Prop)
export R0Space (specializes_symmetric)
class T1Space (X : Type u) [TopologicalSpace X] : Prop where
t1 : ∀ x, IsClosed ({x} : Set X)
#align t1_space T1Space
theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) :=
T1Space.t1 x
#align is_closed_singleton isClosed_singleton
theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) :=
isClosed_singleton.isOpen_compl
#align is_open_compl_singleton isOpen_compl_singleton
theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } :=
isOpen_compl_singleton
#align is_open_ne isOpen_ne
@[to_additive]
theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X}
(hf : Continuous f) : IsOpen (mulSupport f) :=
isOpen_ne.preimage hf
#align continuous.is_open_mul_support Continuous.isOpen_mulSupport
#align continuous.is_open_support Continuous.isOpen_support
theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x :=
isOpen_ne.nhdsWithin_eq h
#align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton
theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) :
𝓝[s \ {y}] x = 𝓝[s] x := by
rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem]
exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h)
#align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton
lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by
rcases eq_or_ne x y with rfl|hy
· exact Eq.le rfl
· rw [Ne.nhdsWithin_compl_singleton hy]
exact nhdsWithin_le_nhds
theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} :
IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by
refine isOpen_iff_mem_nhds.mpr fun a ha => ?_
filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb
rcases eq_or_ne a b with rfl | h
· exact hb
· rw [h.symm.nhdsWithin_compl_singleton] at hb
exact hb.filter_mono nhdsWithin_le_nhds
#align is_open_set_of_eventually_nhds_within isOpen_setOf_eventually_nhdsWithin
protected theorem Set.Finite.isClosed [T1Space X] {s : Set X} (hs : Set.Finite s) : IsClosed s := by
rw [← biUnion_of_singleton s]
exact hs.isClosed_biUnion fun i _ => isClosed_singleton
#align set.finite.is_closed Set.Finite.isClosed
theorem TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne [T1Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} (h : x ≠ y) : ∃ a ∈ b, x ∈ a ∧ y ∉ a := by
rcases hb.isOpen_iff.1 isOpen_ne x h with ⟨a, ab, xa, ha⟩
exact ⟨a, ab, xa, fun h => ha h rfl⟩
#align topological_space.is_topological_basis.exists_mem_of_ne TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne
protected theorem Finset.isClosed [T1Space X] (s : Finset X) : IsClosed (s : Set X) :=
s.finite_toSet.isClosed
#align finset.is_closed Finset.isClosed
theorem t1Space_TFAE (X : Type u) [TopologicalSpace X] :
List.TFAE [T1Space X,
∀ x, IsClosed ({ x } : Set X),
∀ x, IsOpen ({ x }ᶜ : Set X),
Continuous (@CofiniteTopology.of X),
∀ ⦃x y : X⦄, x ≠ y → {y}ᶜ ∈ 𝓝 x,
∀ ⦃x y : X⦄, x ≠ y → ∃ s ∈ 𝓝 x, y ∉ s,
∀ ⦃x y : X⦄, x ≠ y → ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U,
∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y),
∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y),
∀ ⦃x y : X⦄, x ⤳ y → x = y] := by
tfae_have 1 ↔ 2
· exact ⟨fun h => h.1, fun h => ⟨h⟩⟩
tfae_have 2 ↔ 3
· simp only [isOpen_compl_iff]
tfae_have 5 ↔ 3
· refine forall_swap.trans ?_
simp only [isOpen_iff_mem_nhds, mem_compl_iff, mem_singleton_iff]
tfae_have 5 ↔ 6
· simp only [← subset_compl_singleton_iff, exists_mem_subset_iff]
tfae_have 5 ↔ 7
· simp only [(nhds_basis_opens _).mem_iff, subset_compl_singleton_iff, exists_prop, and_assoc,
and_left_comm]
tfae_have 5 ↔ 8
· simp only [← principal_singleton, disjoint_principal_right]
tfae_have 8 ↔ 9
· exact forall_swap.trans (by simp only [disjoint_comm, ne_comm])
tfae_have 1 → 4
· simp only [continuous_def, CofiniteTopology.isOpen_iff']
rintro H s (rfl | hs)
exacts [isOpen_empty, compl_compl s ▸ (@Set.Finite.isClosed _ _ H _ hs).isOpen_compl]
tfae_have 4 → 2
· exact fun h x => (CofiniteTopology.isClosed_iff.2 <| Or.inr (finite_singleton _)).preimage h
tfae_have 2 ↔ 10
· simp only [← closure_subset_iff_isClosed, specializes_iff_mem_closure, subset_def,
mem_singleton_iff, eq_comm]
tfae_finish
#align t1_space_tfae t1Space_TFAE
theorem t1Space_iff_continuous_cofinite_of : T1Space X ↔ Continuous (@CofiniteTopology.of X) :=
(t1Space_TFAE X).out 0 3
#align t1_space_iff_continuous_cofinite_of t1Space_iff_continuous_cofinite_of
theorem CofiniteTopology.continuous_of [T1Space X] : Continuous (@CofiniteTopology.of X) :=
t1Space_iff_continuous_cofinite_of.mp ‹_›
#align cofinite_topology.continuous_of CofiniteTopology.continuous_of
theorem t1Space_iff_exists_open :
T1Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U :=
(t1Space_TFAE X).out 0 6
#align t1_space_iff_exists_open t1Space_iff_exists_open
theorem t1Space_iff_disjoint_pure_nhds : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y) :=
(t1Space_TFAE X).out 0 8
#align t1_space_iff_disjoint_pure_nhds t1Space_iff_disjoint_pure_nhds
theorem t1Space_iff_disjoint_nhds_pure : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y) :=
(t1Space_TFAE X).out 0 7
#align t1_space_iff_disjoint_nhds_pure t1Space_iff_disjoint_nhds_pure
theorem t1Space_iff_specializes_imp_eq : T1Space X ↔ ∀ ⦃x y : X⦄, x ⤳ y → x = y :=
(t1Space_TFAE X).out 0 9
#align t1_space_iff_specializes_imp_eq t1Space_iff_specializes_imp_eq
theorem disjoint_pure_nhds [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (pure x) (𝓝 y) :=
t1Space_iff_disjoint_pure_nhds.mp ‹_› h
#align disjoint_pure_nhds disjoint_pure_nhds
theorem disjoint_nhds_pure [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (𝓝 x) (pure y) :=
t1Space_iff_disjoint_nhds_pure.mp ‹_› h
#align disjoint_nhds_pure disjoint_nhds_pure
theorem Specializes.eq [T1Space X] {x y : X} (h : x ⤳ y) : x = y :=
t1Space_iff_specializes_imp_eq.1 ‹_› h
#align specializes.eq Specializes.eq
theorem specializes_iff_eq [T1Space X] {x y : X} : x ⤳ y ↔ x = y :=
⟨Specializes.eq, fun h => h ▸ specializes_rfl⟩
#align specializes_iff_eq specializes_iff_eq
@[simp] theorem specializes_eq_eq [T1Space X] : (· ⤳ ·) = @Eq X :=
funext₂ fun _ _ => propext specializes_iff_eq
#align specializes_eq_eq specializes_eq_eq
@[simp]
theorem pure_le_nhds_iff [T1Space X] {a b : X} : pure a ≤ 𝓝 b ↔ a = b :=
specializes_iff_pure.symm.trans specializes_iff_eq
#align pure_le_nhds_iff pure_le_nhds_iff
@[simp]
theorem nhds_le_nhds_iff [T1Space X] {a b : X} : 𝓝 a ≤ 𝓝 b ↔ a = b :=
specializes_iff_eq
#align nhds_le_nhds_iff nhds_le_nhds_iff
instance (priority := 100) [T1Space X] : R0Space X where
specializes_symmetric _ _ := by rw [specializes_iff_eq, specializes_iff_eq]; exact Eq.symm
instance : T1Space (CofiniteTopology X) :=
t1Space_iff_continuous_cofinite_of.mpr continuous_id
theorem t1Space_antitone : Antitone (@T1Space X) := fun a _ h _ =>
@T1Space.mk _ a fun x => (T1Space.t1 x).mono h
#align t1_space_antitone t1Space_antitone
theorem continuousWithinAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousWithinAt (Function.update f x y) s x' ↔ ContinuousWithinAt f s x' :=
EventuallyEq.congr_continuousWithinAt
(mem_nhdsWithin_of_mem_nhds <| mem_of_superset (isOpen_ne.mem_nhds hne) fun _y' hy' =>
Function.update_noteq hy' _ _)
(Function.update_noteq hne _ _)
#align continuous_within_at_update_of_ne continuousWithinAt_update_of_ne
theorem continuousAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y]
{f : X → Y} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousAt (Function.update f x y) x' ↔ ContinuousAt f x' := by
simp only [← continuousWithinAt_univ, continuousWithinAt_update_of_ne hne]
#align continuous_at_update_of_ne continuousAt_update_of_ne
theorem continuousOn_update_iff [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x : X} {y : Y} :
ContinuousOn (Function.update f x y) s ↔
ContinuousOn f (s \ {x}) ∧ (x ∈ s → Tendsto f (𝓝[s \ {x}] x) (𝓝 y)) := by
rw [ContinuousOn, ← and_forall_ne x, and_comm]
refine and_congr ⟨fun H z hz => ?_, fun H z hzx hzs => ?_⟩ (forall_congr' fun _ => ?_)
· specialize H z hz.2 hz.1
rw [continuousWithinAt_update_of_ne hz.2] at H
exact H.mono diff_subset
· rw [continuousWithinAt_update_of_ne hzx]
refine (H z ⟨hzs, hzx⟩).mono_of_mem (inter_mem_nhdsWithin _ ?_)
exact isOpen_ne.mem_nhds hzx
· exact continuousWithinAt_update_same
#align continuous_on_update_iff continuousOn_update_iff
theorem t1Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T1Space Y] : T1Space X :=
t1Space_iff_specializes_imp_eq.2 fun _ _ h => hf (h.map hf').eq
#align t1_space_of_injective_of_continuous t1Space_of_injective_of_continuous
protected theorem Embedding.t1Space [TopologicalSpace Y] [T1Space Y] {f : X → Y}
(hf : Embedding f) : T1Space X :=
t1Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t1_space Embedding.t1Space
instance Subtype.t1Space {X : Type u} [TopologicalSpace X] [T1Space X] {p : X → Prop} :
T1Space (Subtype p) :=
embedding_subtype_val.t1Space
#align subtype.t1_space Subtype.t1Space
instance [TopologicalSpace Y] [T1Space X] [T1Space Y] : T1Space (X × Y) :=
⟨fun ⟨a, b⟩ => @singleton_prod_singleton _ _ a b ▸ isClosed_singleton.prod isClosed_singleton⟩
instance {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, T1Space (X i)] :
T1Space (∀ i, X i) :=
⟨fun f => univ_pi_singleton f ▸ isClosed_set_pi fun _ _ => isClosed_singleton⟩
instance ULift.instT1Space [T1Space X] : T1Space (ULift X) :=
embedding_uLift_down.t1Space
-- see Note [lower instance priority]
instance (priority := 100) TotallyDisconnectedSpace.t1Space [h: TotallyDisconnectedSpace X] :
T1Space X := by
rw [((t1Space_TFAE X).out 0 1 :)]
intro x
rw [← totallyDisconnectedSpace_iff_connectedComponent_singleton.mp h x]
exact isClosed_connectedComponent
-- see Note [lower instance priority]
instance (priority := 100) T1Space.t0Space [T1Space X] : T0Space X :=
⟨fun _ _ h => h.specializes.eq⟩
#align t1_space.t0_space T1Space.t0Space
@[simp]
theorem compl_singleton_mem_nhds_iff [T1Space X] {x y : X} : {x}ᶜ ∈ 𝓝 y ↔ y ≠ x :=
isOpen_compl_singleton.mem_nhds_iff
#align compl_singleton_mem_nhds_iff compl_singleton_mem_nhds_iff
theorem compl_singleton_mem_nhds [T1Space X] {x y : X} (h : y ≠ x) : {x}ᶜ ∈ 𝓝 y :=
compl_singleton_mem_nhds_iff.mpr h
#align compl_singleton_mem_nhds compl_singleton_mem_nhds
@[simp]
theorem closure_singleton [T1Space X] {x : X} : closure ({x} : Set X) = {x} :=
isClosed_singleton.closure_eq
#align closure_singleton closure_singleton
-- Porting note (#11215): TODO: the proof was `hs.induction_on (by simp) fun x => by simp`
theorem Set.Subsingleton.closure [T1Space X] {s : Set X} (hs : s.Subsingleton) :
(closure s).Subsingleton := by
rcases hs.eq_empty_or_singleton with (rfl | ⟨x, rfl⟩) <;> simp
#align set.subsingleton.closure Set.Subsingleton.closure
@[simp]
theorem subsingleton_closure [T1Space X] {s : Set X} : (closure s).Subsingleton ↔ s.Subsingleton :=
⟨fun h => h.anti subset_closure, fun h => h.closure⟩
#align subsingleton_closure subsingleton_closure
theorem isClosedMap_const {X Y} [TopologicalSpace X] [TopologicalSpace Y] [T1Space Y] {y : Y} :
IsClosedMap (Function.const X y) :=
IsClosedMap.of_nonempty fun s _ h2s => by simp_rw [const, h2s.image_const, isClosed_singleton]
#align is_closed_map_const isClosedMap_const
theorem nhdsWithin_insert_of_ne [T1Space X] {x y : X} {s : Set X} (hxy : x ≠ y) :
𝓝[insert y s] x = 𝓝[s] x := by
refine le_antisymm (Filter.le_def.2 fun t ht => ?_) (nhdsWithin_mono x <| subset_insert y s)
obtain ⟨o, ho, hxo, host⟩ := mem_nhdsWithin.mp ht
refine mem_nhdsWithin.mpr ⟨o \ {y}, ho.sdiff isClosed_singleton, ⟨hxo, hxy⟩, ?_⟩
rw [inter_insert_of_not_mem <| not_mem_diff_of_mem (mem_singleton y)]
exact (inter_subset_inter diff_subset Subset.rfl).trans host
#align nhds_within_insert_of_ne nhdsWithin_insert_of_ne
theorem insert_mem_nhdsWithin_of_subset_insert [T1Space X] {x y : X} {s t : Set X}
(hu : t ⊆ insert y s) : insert x s ∈ 𝓝[t] x := by
rcases eq_or_ne x y with (rfl | h)
· exact mem_of_superset self_mem_nhdsWithin hu
refine nhdsWithin_mono x hu ?_
rw [nhdsWithin_insert_of_ne h]
exact mem_of_superset self_mem_nhdsWithin (subset_insert x s)
#align insert_mem_nhds_within_of_subset_insert insert_mem_nhdsWithin_of_subset_insert
@[simp]
theorem ker_nhds [T1Space X] (x : X) : (𝓝 x).ker = {x} := by
simp [ker_nhds_eq_specializes]
theorem biInter_basis_nhds [T1Space X] {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {x : X}
(h : (𝓝 x).HasBasis p s) : ⋂ (i) (_ : p i), s i = {x} := by
rw [← h.ker, ker_nhds]
#align bInter_basis_nhds biInter_basis_nhds
@[simp]
theorem compl_singleton_mem_nhdsSet_iff [T1Space X] {x : X} {s : Set X} : {x}ᶜ ∈ 𝓝ˢ s ↔ x ∉ s := by
rw [isOpen_compl_singleton.mem_nhdsSet, subset_compl_singleton_iff]
#align compl_singleton_mem_nhds_set_iff compl_singleton_mem_nhdsSet_iff
@[simp]
theorem nhdsSet_le_iff [T1Space X] {s t : Set X} : 𝓝ˢ s ≤ 𝓝ˢ t ↔ s ⊆ t := by
refine ⟨?_, fun h => monotone_nhdsSet h⟩
simp_rw [Filter.le_def]; intro h x hx
specialize h {x}ᶜ
simp_rw [compl_singleton_mem_nhdsSet_iff] at h
by_contra hxt
exact h hxt hx
#align nhds_set_le_iff nhdsSet_le_iff
@[simp]
theorem nhdsSet_inj_iff [T1Space X] {s t : Set X} : 𝓝ˢ s = 𝓝ˢ t ↔ s = t := by
simp_rw [le_antisymm_iff]
exact and_congr nhdsSet_le_iff nhdsSet_le_iff
#align nhds_set_inj_iff nhdsSet_inj_iff
theorem injective_nhdsSet [T1Space X] : Function.Injective (𝓝ˢ : Set X → Filter X) := fun _ _ hst =>
nhdsSet_inj_iff.mp hst
#align injective_nhds_set injective_nhdsSet
theorem strictMono_nhdsSet [T1Space X] : StrictMono (𝓝ˢ : Set X → Filter X) :=
monotone_nhdsSet.strictMono_of_injective injective_nhdsSet
#align strict_mono_nhds_set strictMono_nhdsSet
@[simp]
theorem nhds_le_nhdsSet_iff [T1Space X] {s : Set X} {x : X} : 𝓝 x ≤ 𝓝ˢ s ↔ x ∈ s := by
rw [← nhdsSet_singleton, nhdsSet_le_iff, singleton_subset_iff]
#align nhds_le_nhds_set_iff nhds_le_nhdsSet_iff
theorem Dense.diff_singleton [T1Space X] {s : Set X} (hs : Dense s) (x : X) [NeBot (𝓝[≠] x)] :
Dense (s \ {x}) :=
hs.inter_of_isOpen_right (dense_compl_singleton x) isOpen_compl_singleton
#align dense.diff_singleton Dense.diff_singleton
theorem Dense.diff_finset [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
(t : Finset X) : Dense (s \ t) := by
induction t using Finset.induction_on with
| empty => simpa using hs
| insert _ ih =>
rw [Finset.coe_insert, ← union_singleton, ← diff_diff]
exact ih.diff_singleton _
#align dense.diff_finset Dense.diff_finset
theorem Dense.diff_finite [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
{t : Set X} (ht : t.Finite) : Dense (s \ t) := by
convert hs.diff_finset ht.toFinset
exact (Finite.coe_toFinset _).symm
#align dense.diff_finite Dense.diff_finite
theorem eq_of_tendsto_nhds [TopologicalSpace Y] [T1Space Y] {f : X → Y} {x : X} {y : Y}
(h : Tendsto f (𝓝 x) (𝓝 y)) : f x = y :=
by_contra fun hfa : f x ≠ y =>
have fact₁ : {f x}ᶜ ∈ 𝓝 y := compl_singleton_mem_nhds hfa.symm
have fact₂ : Tendsto f (pure x) (𝓝 y) := h.comp (tendsto_id'.2 <| pure_le_nhds x)
fact₂ fact₁ (Eq.refl <| f x)
#align eq_of_tendsto_nhds eq_of_tendsto_nhds
theorem Filter.Tendsto.eventually_ne [TopologicalSpace Y] [T1Space Y] {g : X → Y}
{l : Filter X} {b₁ b₂ : Y} (hg : Tendsto g l (𝓝 b₁)) (hb : b₁ ≠ b₂) : ∀ᶠ z in l, g z ≠ b₂ :=
hg.eventually (isOpen_compl_singleton.eventually_mem hb)
#align filter.tendsto.eventually_ne Filter.Tendsto.eventually_ne
theorem ContinuousAt.eventually_ne [TopologicalSpace Y] [T1Space Y] {g : X → Y} {x : X} {y : Y}
(hg1 : ContinuousAt g x) (hg2 : g x ≠ y) : ∀ᶠ z in 𝓝 x, g z ≠ y :=
hg1.tendsto.eventually_ne hg2
#align continuous_at.eventually_ne ContinuousAt.eventually_ne
theorem eventually_ne_nhds [T1Space X] {a b : X} (h : a ≠ b) : ∀ᶠ x in 𝓝 a, x ≠ b :=
IsOpen.eventually_mem isOpen_ne h
theorem eventually_ne_nhdsWithin [T1Space X] {a b : X} {s : Set X} (h : a ≠ b) :
∀ᶠ x in 𝓝[s] a, x ≠ b :=
Filter.Eventually.filter_mono nhdsWithin_le_nhds <| eventually_ne_nhds h
theorem continuousAt_of_tendsto_nhds [TopologicalSpace Y] [T1Space Y] {f : X → Y} {x : X} {y : Y}
(h : Tendsto f (𝓝 x) (𝓝 y)) : ContinuousAt f x := by
rwa [ContinuousAt, eq_of_tendsto_nhds h]
#align continuous_at_of_tendsto_nhds continuousAt_of_tendsto_nhds
@[simp]
| Mathlib/Topology/Separation.lean | 870 | 871 | theorem tendsto_const_nhds_iff [T1Space X] {l : Filter Y} [NeBot l] {c d : X} :
Tendsto (fun _ => c) l (𝓝 d) ↔ c = d := by | simp_rw [Tendsto, Filter.map_const, pure_le_nhds_iff]
|
import Mathlib.LinearAlgebra.Prod
#align_import linear_algebra.linear_pmap from "leanprover-community/mathlib"@"8b981918a93bc45a8600de608cde7944a80d92b9"
universe u v w
structure LinearPMap (R : Type u) [Ring R] (E : Type v) [AddCommGroup E] [Module R E] (F : Type w)
[AddCommGroup F] [Module R F] where
domain : Submodule R E
toFun : domain →ₗ[R] F
#align linear_pmap LinearPMap
@[inherit_doc] notation:25 E " →ₗ.[" R:25 "] " F:0 => LinearPMap R E F
variable {R : Type*} [Ring R] {E : Type*} [AddCommGroup E] [Module R E] {F : Type*}
[AddCommGroup F] [Module R F] {G : Type*} [AddCommGroup G] [Module R G]
namespace LinearPMap
open Submodule
-- Porting note: A new definition underlying a coercion `↑`.
@[coe]
def toFun' (f : E →ₗ.[R] F) : f.domain → F := f.toFun
instance : CoeFun (E →ₗ.[R] F) fun f : E →ₗ.[R] F => f.domain → F :=
⟨toFun'⟩
@[simp]
theorem toFun_eq_coe (f : E →ₗ.[R] F) (x : f.domain) : f.toFun x = f x :=
rfl
#align linear_pmap.to_fun_eq_coe LinearPMap.toFun_eq_coe
@[ext]
theorem ext {f g : E →ₗ.[R] F} (h : f.domain = g.domain)
(h' : ∀ ⦃x : f.domain⦄ ⦃y : g.domain⦄ (_h : (x : E) = y), f x = g y) : f = g := by
rcases f with ⟨f_dom, f⟩
rcases g with ⟨g_dom, g⟩
obtain rfl : f_dom = g_dom := h
obtain rfl : f = g := LinearMap.ext fun x => h' rfl
rfl
#align linear_pmap.ext LinearPMap.ext
@[simp]
theorem map_zero (f : E →ₗ.[R] F) : f 0 = 0 :=
f.toFun.map_zero
#align linear_pmap.map_zero LinearPMap.map_zero
theorem ext_iff {f g : E →ₗ.[R] F} :
f = g ↔
∃ _domain_eq : f.domain = g.domain,
∀ ⦃x : f.domain⦄ ⦃y : g.domain⦄ (_h : (x : E) = y), f x = g y :=
⟨fun EQ =>
EQ ▸
⟨rfl, fun x y h => by
congr
exact mod_cast h⟩,
fun ⟨deq, feq⟩ => ext deq feq⟩
#align linear_pmap.ext_iff LinearPMap.ext_iff
theorem ext' {s : Submodule R E} {f g : s →ₗ[R] F} (h : f = g) : mk s f = mk s g :=
h ▸ rfl
#align linear_pmap.ext' LinearPMap.ext'
theorem map_add (f : E →ₗ.[R] F) (x y : f.domain) : f (x + y) = f x + f y :=
f.toFun.map_add x y
#align linear_pmap.map_add LinearPMap.map_add
theorem map_neg (f : E →ₗ.[R] F) (x : f.domain) : f (-x) = -f x :=
f.toFun.map_neg x
#align linear_pmap.map_neg LinearPMap.map_neg
theorem map_sub (f : E →ₗ.[R] F) (x y : f.domain) : f (x - y) = f x - f y :=
f.toFun.map_sub x y
#align linear_pmap.map_sub LinearPMap.map_sub
theorem map_smul (f : E →ₗ.[R] F) (c : R) (x : f.domain) : f (c • x) = c • f x :=
f.toFun.map_smul c x
#align linear_pmap.map_smul LinearPMap.map_smul
@[simp]
theorem mk_apply (p : Submodule R E) (f : p →ₗ[R] F) (x : p) : mk p f x = f x :=
rfl
#align linear_pmap.mk_apply LinearPMap.mk_apply
noncomputable def mkSpanSingleton' (x : E) (y : F) (H : ∀ c : R, c • x = 0 → c • y = 0) :
E →ₗ.[R] F where
domain := R ∙ x
toFun :=
have H : ∀ c₁ c₂ : R, c₁ • x = c₂ • x → c₁ • y = c₂ • y := by
intro c₁ c₂ h
rw [← sub_eq_zero, ← sub_smul] at h ⊢
exact H _ h
{ toFun := fun z => Classical.choose (mem_span_singleton.1 z.prop) • y
-- Porting note(#12129): additional beta reduction needed
-- Porting note: Were `Classical.choose_spec (mem_span_singleton.1 _)`.
map_add' := fun y z => by
beta_reduce
rw [← add_smul]
apply H
simp only [add_smul, sub_smul,
fun w : R ∙ x => Classical.choose_spec (mem_span_singleton.1 w.prop)]
apply coe_add
map_smul' := fun c z => by
beta_reduce
rw [smul_smul]
apply H
simp only [mul_smul,
fun w : R ∙ x => Classical.choose_spec (mem_span_singleton.1 w.prop)]
apply coe_smul }
#align linear_pmap.mk_span_singleton' LinearPMap.mkSpanSingleton'
@[simp]
theorem domain_mkSpanSingleton (x : E) (y : F) (H : ∀ c : R, c • x = 0 → c • y = 0) :
(mkSpanSingleton' x y H).domain = R ∙ x :=
rfl
#align linear_pmap.domain_mk_span_singleton LinearPMap.domain_mkSpanSingleton
@[simp]
| Mathlib/LinearAlgebra/LinearPMap.lean | 151 | 157 | theorem mkSpanSingleton'_apply (x : E) (y : F) (H : ∀ c : R, c • x = 0 → c • y = 0) (c : R) (h) :
mkSpanSingleton' x y H ⟨c • x, h⟩ = c • y := by |
dsimp [mkSpanSingleton']
rw [← sub_eq_zero, ← sub_smul]
apply H
simp only [sub_smul, one_smul, sub_eq_zero]
apply Classical.choose_spec (mem_span_singleton.1 h)
|
import Mathlib.Topology.Order.ProjIcc
import Mathlib.Topology.CompactOpen
import Mathlib.Topology.UnitInterval
#align_import topology.path_connected from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Topology Filter unitInterval Set Function
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {x y z : X} {ι : Type*}
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure Path (x y : X) extends C(I, X) where
source' : toFun 0 = x
target' : toFun 1 = y
#align path Path
instance Path.funLike : FunLike (Path x y) I X where
coe := fun γ ↦ ⇑γ.toContinuousMap
coe_injective' := fun γ₁ γ₂ h => by
simp only [DFunLike.coe_fn_eq] at h
cases γ₁; cases γ₂; congr
-- Porting note (#10754): added this instance so that we can use `FunLike.coe` for `CoeFun`
-- this also fixed very strange `simp` timeout issues
instance Path.continuousMapClass : ContinuousMapClass (Path x y) I X where
map_continuous := fun γ => show Continuous γ.toContinuousMap by continuity
-- Porting note: not necessary in light of the instance above
@[ext]
protected theorem Path.ext : ∀ {γ₁ γ₂ : Path x y}, (γ₁ : I → X) = γ₂ → γ₁ = γ₂ := by
rintro ⟨⟨x, h11⟩, h12, h13⟩ ⟨⟨x, h21⟩, h22, h23⟩ rfl
rfl
#align path.ext Path.ext
namespace Path
@[simp]
theorem coe_mk_mk (f : I → X) (h₁) (h₂ : f 0 = x) (h₃ : f 1 = y) :
⇑(mk ⟨f, h₁⟩ h₂ h₃ : Path x y) = f :=
rfl
#align path.coe_mk Path.coe_mk_mk
-- Porting note: the name `Path.coe_mk` better refers to a new lemma below
variable (γ : Path x y)
@[continuity]
protected theorem continuous : Continuous γ :=
γ.continuous_toFun
#align path.continuous Path.continuous
@[simp]
protected theorem source : γ 0 = x :=
γ.source'
#align path.source Path.source
@[simp]
protected theorem target : γ 1 = y :=
γ.target'
#align path.target Path.target
def simps.apply : I → X :=
γ
#align path.simps.apply Path.simps.apply
initialize_simps_projections Path (toFun → simps.apply, -toContinuousMap)
@[simp]
theorem coe_toContinuousMap : ⇑γ.toContinuousMap = γ :=
rfl
#align path.coe_to_continuous_map Path.coe_toContinuousMap
-- Porting note: this is needed because of the `Path.continuousMapClass` instance
@[simp]
theorem coe_mk : ⇑(γ : C(I, X)) = γ :=
rfl
instance hasUncurryPath {X α : Type*} [TopologicalSpace X] {x y : α → X} :
HasUncurry (∀ a : α, Path (x a) (y a)) (α × I) X :=
⟨fun φ p => φ p.1 p.2⟩
#align path.has_uncurry_path Path.hasUncurryPath
@[refl, simps]
def refl (x : X) : Path x x where
toFun _t := x
continuous_toFun := continuous_const
source' := rfl
target' := rfl
#align path.refl Path.refl
@[simp]
| Mathlib/Topology/Connected/PathConnected.lean | 165 | 165 | theorem refl_range {a : X} : range (Path.refl a) = {a} := by | simp [Path.refl, CoeFun.coe]
|
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree
import Mathlib.Algebra.Polynomial.EraseLead
import Mathlib.Algebra.Polynomial.Eval
#align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd"
namespace Polynomial
open Polynomial Finsupp Finset
open Polynomial
section Semiring
variable {R : Type*} [Semiring R] {f : R[X]}
def revAtFun (N i : ℕ) : ℕ :=
ite (i ≤ N) (N - i) i
#align polynomial.rev_at_fun Polynomial.revAtFun
| Mathlib/Algebra/Polynomial/Reverse.lean | 40 | 47 | theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by |
unfold revAtFun
split_ifs with h j
· exact tsub_tsub_cancel_of_le h
· exfalso
apply j
exact Nat.sub_le N i
· rfl
|
import Mathlib.Combinatorics.SimpleGraph.Init
import Mathlib.Data.Rel
import Mathlib.Data.Set.Finite
import Mathlib.Data.Sym.Sym2
#align_import combinatorics.simple_graph.basic from "leanprover-community/mathlib"@"3365b20c2ffa7c35e47e5209b89ba9abdddf3ffe"
-- Porting note: using `aesop` for automation
-- Porting note: These attributes are needed to use `aesop` as a replacement for `obviously`
attribute [aesop norm unfold (rule_sets := [SimpleGraph])] Symmetric
attribute [aesop norm unfold (rule_sets := [SimpleGraph])] Irreflexive
-- Porting note: a thin wrapper around `aesop` for graph lemmas, modelled on `aesop_cat`
macro (name := aesop_graph) "aesop_graph" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, terminal := true })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
macro (name := aesop_graph?) "aesop_graph?" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, terminal := true })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
macro (name := aesop_graph_nonterminal) "aesop_graph_nonterminal" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, warnOnNonterminal := false })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
open Finset Function
universe u v w
@[ext, aesop safe constructors (rule_sets := [SimpleGraph])]
structure SimpleGraph (V : Type u) where
Adj : V → V → Prop
symm : Symmetric Adj := by aesop_graph
loopless : Irreflexive Adj := by aesop_graph
#align simple_graph SimpleGraph
-- Porting note: changed `obviously` to `aesop` in the `structure`
initialize_simps_projections SimpleGraph (Adj → adj)
@[simps]
def SimpleGraph.mk' {V : Type u} :
{adj : V → V → Bool // (∀ x y, adj x y = adj y x) ∧ (∀ x, ¬ adj x x)} ↪ SimpleGraph V where
toFun x := ⟨fun v w ↦ x.1 v w, fun v w ↦ by simp [x.2.1], fun v ↦ by simp [x.2.2]⟩
inj' := by
rintro ⟨adj, _⟩ ⟨adj', _⟩
simp only [mk.injEq, Subtype.mk.injEq]
intro h
funext v w
simpa [Bool.coe_iff_coe] using congr_fun₂ h v w
instance {V : Type u} [Fintype V] [DecidableEq V] : Fintype (SimpleGraph V) where
elems := Finset.univ.map SimpleGraph.mk'
complete := by
classical
rintro ⟨Adj, hs, hi⟩
simp only [mem_map, mem_univ, true_and, Subtype.exists, Bool.not_eq_true]
refine ⟨fun v w ↦ Adj v w, ⟨?_, ?_⟩, ?_⟩
· simp [hs.iff]
· intro v; simp [hi v]
· ext
simp
def SimpleGraph.fromRel {V : Type u} (r : V → V → Prop) : SimpleGraph V where
Adj a b := a ≠ b ∧ (r a b ∨ r b a)
symm := fun _ _ ⟨hn, hr⟩ => ⟨hn.symm, hr.symm⟩
loopless := fun _ ⟨hn, _⟩ => hn rfl
#align simple_graph.from_rel SimpleGraph.fromRel
@[simp]
theorem SimpleGraph.fromRel_adj {V : Type u} (r : V → V → Prop) (v w : V) :
(SimpleGraph.fromRel r).Adj v w ↔ v ≠ w ∧ (r v w ∨ r w v) :=
Iff.rfl
#align simple_graph.from_rel_adj SimpleGraph.fromRel_adj
-- Porting note: attributes needed for `completeGraph`
attribute [aesop safe (rule_sets := [SimpleGraph])] Ne.symm
attribute [aesop safe (rule_sets := [SimpleGraph])] Ne.irrefl
def completeGraph (V : Type u) : SimpleGraph V where Adj := Ne
#align complete_graph completeGraph
def emptyGraph (V : Type u) : SimpleGraph V where Adj _ _ := False
#align empty_graph emptyGraph
@[simps]
def completeBipartiteGraph (V W : Type*) : SimpleGraph (Sum V W) where
Adj v w := v.isLeft ∧ w.isRight ∨ v.isRight ∧ w.isLeft
symm v w := by cases v <;> cases w <;> simp
loopless v := by cases v <;> simp
#align complete_bipartite_graph completeBipartiteGraph
namespace SimpleGraph
variable {ι : Sort*} {V : Type u} (G : SimpleGraph V) {a b c u v w : V} {e : Sym2 V}
@[simp]
protected theorem irrefl {v : V} : ¬G.Adj v v :=
G.loopless v
#align simple_graph.irrefl SimpleGraph.irrefl
theorem adj_comm (u v : V) : G.Adj u v ↔ G.Adj v u :=
⟨fun x => G.symm x, fun x => G.symm x⟩
#align simple_graph.adj_comm SimpleGraph.adj_comm
@[symm]
theorem adj_symm (h : G.Adj u v) : G.Adj v u :=
G.symm h
#align simple_graph.adj_symm SimpleGraph.adj_symm
theorem Adj.symm {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Adj v u :=
G.symm h
#align simple_graph.adj.symm SimpleGraph.Adj.symm
theorem ne_of_adj (h : G.Adj a b) : a ≠ b := by
rintro rfl
exact G.irrefl h
#align simple_graph.ne_of_adj SimpleGraph.ne_of_adj
protected theorem Adj.ne {G : SimpleGraph V} {a b : V} (h : G.Adj a b) : a ≠ b :=
G.ne_of_adj h
#align simple_graph.adj.ne SimpleGraph.Adj.ne
protected theorem Adj.ne' {G : SimpleGraph V} {a b : V} (h : G.Adj a b) : b ≠ a :=
h.ne.symm
#align simple_graph.adj.ne' SimpleGraph.Adj.ne'
theorem ne_of_adj_of_not_adj {v w x : V} (h : G.Adj v x) (hn : ¬G.Adj w x) : v ≠ w := fun h' =>
hn (h' ▸ h)
#align simple_graph.ne_of_adj_of_not_adj SimpleGraph.ne_of_adj_of_not_adj
theorem adj_injective : Injective (Adj : SimpleGraph V → V → V → Prop) :=
SimpleGraph.ext
#align simple_graph.adj_injective SimpleGraph.adj_injective
@[simp]
theorem adj_inj {G H : SimpleGraph V} : G.Adj = H.Adj ↔ G = H :=
adj_injective.eq_iff
#align simple_graph.adj_inj SimpleGraph.adj_inj
section Order
def IsSubgraph (x y : SimpleGraph V) : Prop :=
∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w
#align simple_graph.is_subgraph SimpleGraph.IsSubgraph
instance : LE (SimpleGraph V) :=
⟨IsSubgraph⟩
@[simp]
theorem isSubgraph_eq_le : (IsSubgraph : SimpleGraph V → SimpleGraph V → Prop) = (· ≤ ·) :=
rfl
#align simple_graph.is_subgraph_eq_le SimpleGraph.isSubgraph_eq_le
instance : Sup (SimpleGraph V) where
sup x y :=
{ Adj := x.Adj ⊔ y.Adj
symm := fun v w h => by rwa [Pi.sup_apply, Pi.sup_apply, x.adj_comm, y.adj_comm] }
@[simp]
theorem sup_adj (x y : SimpleGraph V) (v w : V) : (x ⊔ y).Adj v w ↔ x.Adj v w ∨ y.Adj v w :=
Iff.rfl
#align simple_graph.sup_adj SimpleGraph.sup_adj
instance : Inf (SimpleGraph V) where
inf x y :=
{ Adj := x.Adj ⊓ y.Adj
symm := fun v w h => by rwa [Pi.inf_apply, Pi.inf_apply, x.adj_comm, y.adj_comm] }
@[simp]
theorem inf_adj (x y : SimpleGraph V) (v w : V) : (x ⊓ y).Adj v w ↔ x.Adj v w ∧ y.Adj v w :=
Iff.rfl
#align simple_graph.inf_adj SimpleGraph.inf_adj
instance hasCompl : HasCompl (SimpleGraph V) where
compl G :=
{ Adj := fun v w => v ≠ w ∧ ¬G.Adj v w
symm := fun v w ⟨hne, _⟩ => ⟨hne.symm, by rwa [adj_comm]⟩
loopless := fun v ⟨hne, _⟩ => (hne rfl).elim }
@[simp]
theorem compl_adj (G : SimpleGraph V) (v w : V) : Gᶜ.Adj v w ↔ v ≠ w ∧ ¬G.Adj v w :=
Iff.rfl
#align simple_graph.compl_adj SimpleGraph.compl_adj
instance sdiff : SDiff (SimpleGraph V) where
sdiff x y :=
{ Adj := x.Adj \ y.Adj
symm := fun v w h => by change x.Adj w v ∧ ¬y.Adj w v; rwa [x.adj_comm, y.adj_comm] }
@[simp]
theorem sdiff_adj (x y : SimpleGraph V) (v w : V) : (x \ y).Adj v w ↔ x.Adj v w ∧ ¬y.Adj v w :=
Iff.rfl
#align simple_graph.sdiff_adj SimpleGraph.sdiff_adj
instance supSet : SupSet (SimpleGraph V) where
sSup s :=
{ Adj := fun a b => ∃ G ∈ s, Adj G a b
symm := fun a b => Exists.imp fun _ => And.imp_right Adj.symm
loopless := by
rintro a ⟨G, _, ha⟩
exact ha.ne rfl }
instance infSet : InfSet (SimpleGraph V) where
sInf s :=
{ Adj := fun a b => (∀ ⦃G⦄, G ∈ s → Adj G a b) ∧ a ≠ b
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) Ne.symm
loopless := fun _ h => h.2 rfl }
@[simp]
theorem sSup_adj {s : Set (SimpleGraph V)} {a b : V} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
#align simple_graph.Sup_adj SimpleGraph.sSup_adj
@[simp]
theorem sInf_adj {s : Set (SimpleGraph V)} : (sInf s).Adj a b ↔ (∀ G ∈ s, Adj G a b) ∧ a ≠ b :=
Iff.rfl
#align simple_graph.Inf_adj SimpleGraph.sInf_adj
@[simp]
theorem iSup_adj {f : ι → SimpleGraph V} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup]
#align simple_graph.supr_adj SimpleGraph.iSup_adj
@[simp]
theorem iInf_adj {f : ι → SimpleGraph V} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ a ≠ b := by
simp [iInf]
#align simple_graph.infi_adj SimpleGraph.iInf_adj
theorem sInf_adj_of_nonempty {s : Set (SimpleGraph V)} (hs : s.Nonempty) :
(sInf s).Adj a b ↔ ∀ G ∈ s, Adj G a b :=
sInf_adj.trans <|
and_iff_left_of_imp <| by
obtain ⟨G, hG⟩ := hs
exact fun h => (h _ hG).ne
#align simple_graph.Inf_adj_of_nonempty SimpleGraph.sInf_adj_of_nonempty
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → SimpleGraph V} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _), Set.forall_mem_range]
#align simple_graph.infi_adj_of_nonempty SimpleGraph.iInf_adj_of_nonempty
instance distribLattice : DistribLattice (SimpleGraph V) :=
{ show DistribLattice (SimpleGraph V) from
adj_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl with
le := fun G H => ∀ ⦃a b⦄, G.Adj a b → H.Adj a b }
instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (SimpleGraph V) :=
{ SimpleGraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
compl := HasCompl.compl
sdiff := (· \ ·)
top := completeGraph V
bot := emptyGraph V
le_top := fun x v w h => x.ne_of_adj h
bot_le := fun x v w h => h.elim
sdiff_eq := fun x y => by
ext v w
refine ⟨fun h => ⟨h.1, ⟨?_, h.2⟩⟩, fun h => ⟨h.1, h.2.2⟩⟩
rintro rfl
exact x.irrefl h.1
inf_compl_le_bot := fun G v w h => False.elim <| h.2.2 h.1
top_le_sup_compl := fun G v w hvw => by
by_cases h : G.Adj v w
· exact Or.inl h
· exact Or.inr ⟨hvw, h⟩
sSup := sSup
le_sSup := fun s G hG a b hab => ⟨G, hG, hab⟩
sSup_le := fun s G hG a b => by
rintro ⟨H, hH, hab⟩
exact hG _ hH hab
sInf := sInf
sInf_le := fun s G hG a b hab => hab.1 hG
le_sInf := fun s G hG a b hab => ⟨fun H hH => hG _ hH hab, hab.ne⟩
iInf_iSup_eq := fun f => by ext; simp [Classical.skolem] }
@[simp]
theorem top_adj (v w : V) : (⊤ : SimpleGraph V).Adj v w ↔ v ≠ w :=
Iff.rfl
#align simple_graph.top_adj SimpleGraph.top_adj
@[simp]
theorem bot_adj (v w : V) : (⊥ : SimpleGraph V).Adj v w ↔ False :=
Iff.rfl
#align simple_graph.bot_adj SimpleGraph.bot_adj
@[simp]
theorem completeGraph_eq_top (V : Type u) : completeGraph V = ⊤ :=
rfl
#align simple_graph.complete_graph_eq_top SimpleGraph.completeGraph_eq_top
@[simp]
theorem emptyGraph_eq_bot (V : Type u) : emptyGraph V = ⊥ :=
rfl
#align simple_graph.empty_graph_eq_bot SimpleGraph.emptyGraph_eq_bot
@[simps]
instance (V : Type u) : Inhabited (SimpleGraph V) :=
⟨⊥⟩
instance [Subsingleton V] : Unique (SimpleGraph V) where
default := ⊥
uniq G := by ext a b; have := Subsingleton.elim a b; simp [this]
instance [Nontrivial V] : Nontrivial (SimpleGraph V) :=
⟨⟨⊥, ⊤, fun h ↦ not_subsingleton V ⟨by simpa only [← adj_inj, Function.funext_iff, bot_adj,
top_adj, ne_eq, eq_iff_iff, false_iff, not_not] using h⟩⟩⟩
def support : Set V :=
Rel.dom G.Adj
#align simple_graph.support SimpleGraph.support
theorem mem_support {v : V} : v ∈ G.support ↔ ∃ w, G.Adj v w :=
Iff.rfl
#align simple_graph.mem_support SimpleGraph.mem_support
theorem support_mono {G G' : SimpleGraph V} (h : G ≤ G') : G.support ⊆ G'.support :=
Rel.dom_mono h
#align simple_graph.support_mono SimpleGraph.support_mono
def neighborSet (v : V) : Set V := {w | G.Adj v w}
#align simple_graph.neighbor_set SimpleGraph.neighborSet
instance neighborSet.memDecidable (v : V) [DecidableRel G.Adj] :
DecidablePred (· ∈ G.neighborSet v) :=
inferInstanceAs <| DecidablePred (Adj G v)
#align simple_graph.neighbor_set.mem_decidable SimpleGraph.neighborSet.memDecidable
section EdgeSet
variable {G₁ G₂ : SimpleGraph V}
-- Porting note: We need a separate definition so that dot notation works.
def edgeSetEmbedding (V : Type*) : SimpleGraph V ↪o Set (Sym2 V) :=
OrderEmbedding.ofMapLEIff (fun G => Sym2.fromRel G.symm) fun _ _ =>
⟨fun h a b => @h s(a, b), fun h e => Sym2.ind @h e⟩
abbrev edgeSet (G : SimpleGraph V) : Set (Sym2 V) := edgeSetEmbedding V G
#align simple_graph.edge_set SimpleGraph.edgeSetEmbedding
@[simp]
theorem mem_edgeSet : s(v, w) ∈ G.edgeSet ↔ G.Adj v w :=
Iff.rfl
#align simple_graph.mem_edge_set SimpleGraph.mem_edgeSet
theorem not_isDiag_of_mem_edgeSet : e ∈ edgeSet G → ¬e.IsDiag :=
Sym2.ind (fun _ _ => Adj.ne) e
#align simple_graph.not_is_diag_of_mem_edge_set SimpleGraph.not_isDiag_of_mem_edgeSet
theorem edgeSet_inj : G₁.edgeSet = G₂.edgeSet ↔ G₁ = G₂ := (edgeSetEmbedding V).eq_iff_eq
#align simple_graph.edge_set_inj SimpleGraph.edgeSet_inj
@[simp]
theorem edgeSet_subset_edgeSet : edgeSet G₁ ⊆ edgeSet G₂ ↔ G₁ ≤ G₂ :=
(edgeSetEmbedding V).le_iff_le
#align simple_graph.edge_set_subset_edge_set SimpleGraph.edgeSet_subset_edgeSet
@[simp]
theorem edgeSet_ssubset_edgeSet : edgeSet G₁ ⊂ edgeSet G₂ ↔ G₁ < G₂ :=
(edgeSetEmbedding V).lt_iff_lt
#align simple_graph.edge_set_ssubset_edge_set SimpleGraph.edgeSet_ssubset_edgeSet
theorem edgeSet_injective : Injective (edgeSet : SimpleGraph V → Set (Sym2 V)) :=
(edgeSetEmbedding V).injective
#align simple_graph.edge_set_injective SimpleGraph.edgeSet_injective
alias ⟨_, edgeSet_mono⟩ := edgeSet_subset_edgeSet
#align simple_graph.edge_set_mono SimpleGraph.edgeSet_mono
alias ⟨_, edgeSet_strict_mono⟩ := edgeSet_ssubset_edgeSet
#align simple_graph.edge_set_strict_mono SimpleGraph.edgeSet_strict_mono
attribute [mono] edgeSet_mono edgeSet_strict_mono
variable (G₁ G₂)
@[simp]
theorem edgeSet_bot : (⊥ : SimpleGraph V).edgeSet = ∅ :=
Sym2.fromRel_bot
#align simple_graph.edge_set_bot SimpleGraph.edgeSet_bot
@[simp]
theorem edgeSet_top : (⊤ : SimpleGraph V).edgeSet = {e | ¬e.IsDiag} :=
Sym2.fromRel_ne
@[simp]
theorem edgeSet_subset_setOf_not_isDiag : G.edgeSet ⊆ {e | ¬e.IsDiag} :=
fun _ h => (Sym2.fromRel_irreflexive (sym := G.symm)).mp G.loopless h
@[simp]
theorem edgeSet_sup : (G₁ ⊔ G₂).edgeSet = G₁.edgeSet ∪ G₂.edgeSet := by
ext ⟨x, y⟩
rfl
#align simple_graph.edge_set_sup SimpleGraph.edgeSet_sup
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Basic.lean | 526 | 528 | theorem edgeSet_inf : (G₁ ⊓ G₂).edgeSet = G₁.edgeSet ∩ G₂.edgeSet := by |
ext ⟨x, y⟩
rfl
|
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