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8bb63f746236fdb8cd91fefdcf0d53984a45a4dd | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/linear_algebra/finsupp.lean | 2c5fe00ff717d6b0b58810910cddf914f4a158c7 | [
"Apache-2.0"
] | permissive | stjordanis/mathlib | 51e286d19140e3788ef2c470bc7b953e4991f0c9 | 2568d41bca08f5d6bf39d915434c8447e21f42ee | refs/heads/master | 1,631,748,053,501 | 1,627,938,886,000 | 1,627,938,886,000 | 228,728,358 | 0 | 0 | Apache-2.0 | 1,576,630,588,000 | 1,576,630,587,000 | null | UTF-8 | Lean | false | false | 38,112 | lean | /-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import data.finsupp.basic
import linear_algebra.basic
import linear_algebra.pi
/-!
# Properties of the module `α →₀ M`
Given an `R`-module `M`, the `R`-module structure on `α →₀ M` is defined in
`data.finsupp.basic`.
In this file we define `finsupp.supported s` to be the set `{f : α →₀ M | f.support ⊆ s}`
interpreted as a submodule of `α →₀ M`. We also define `linear_map` versions of various maps:
* `finsupp.lsingle a : M →ₗ[R] ι →₀ M`: `finsupp.single a` as a linear map;
* `finsupp.lapply a : (ι →₀ M) →ₗ[R] M`: the map `λ f, f a` as a linear map;
* `finsupp.lsubtype_domain (s : set α) : (α →₀ M) →ₗ[R] (s →₀ M)`: restriction to a subtype as a
linear map;
* `finsupp.restrict_dom`: `finsupp.filter` as a linear map to `finsupp.supported s`;
* `finsupp.lsum`: `finsupp.sum` or `finsupp.lift_add_hom` as a `linear_map`;
* `finsupp.total α M R (v : ι → M)`: sends `l : ι → R` to the linear combination of `v i` with
coefficients `l i`;
* `finsupp.total_on`: a restricted version of `finsupp.total` with domain `finsupp.supported R R s`
and codomain `submodule.span R (v '' s)`;
* `finsupp.supported_equiv_finsupp`: a linear equivalence between the functions `α →₀ M` supported
on `s` and the functions `s →₀ M`;
* `finsupp.lmap_domain`: a linear map version of `finsupp.map_domain`;
* `finsupp.dom_lcongr`: a `linear_equiv` version of `finsupp.dom_congr`;
* `finsupp.congr`: if the sets `s` and `t` are equivalent, then `supported M R s` is equivalent to
`supported M R t`;
* `finsupp.lcongr`: a `linear_equiv`alence between `α →₀ M` and `β →₀ N` constructed using `e : α ≃
β` and `e' : M ≃ₗ[R] N`.
## Tags
function with finite support, module, linear algebra
-/
noncomputable theory
open set linear_map submodule
open_locale classical big_operators
namespace finsupp
variables {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R : Type*} {S : Type*}
variables [semiring R] [semiring S] [add_comm_monoid M] [module R M]
variables [add_comm_monoid N] [module R N]
variables [add_comm_monoid P] [module R P]
/-- Interpret `finsupp.single a` as a linear map. -/
def lsingle (a : α) : M →ₗ[R] (α →₀ M) :=
{ map_smul' := assume a b, (smul_single _ _ _).symm, ..finsupp.single_add_hom a }
/-- Two `R`-linear maps from `finsupp X M` which agree on each `single x y` agree everywhere. -/
lemma lhom_ext ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) :
φ = ψ :=
linear_map.to_add_monoid_hom_injective $ add_hom_ext h
/-- Two `R`-linear maps from `finsupp X M` which agree on each `single x y` agree everywhere.
We formulate this fact using equality of linear maps `φ.comp (lsingle a)` and `ψ.comp (lsingle a)`
so that the `ext` tactic can apply a type-specific extensionality lemma to prove equality of these
maps. E.g., if `M = R`, then it suffices to verify `φ (single a 1) = ψ (single a 1)`. -/
@[ext] lemma lhom_ext' ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) :
φ = ψ :=
lhom_ext $ λ a, linear_map.congr_fun (h a)
/-- Interpret `λ (f : α →₀ M), f a` as a linear map. -/
def lapply (a : α) : (α →₀ M) →ₗ[R] M :=
{ map_smul' := assume a b, rfl, ..finsupp.apply_add_hom a }
section lsubtype_domain
variables (s : set α)
/-- Interpret `finsupp.subtype_domain s` as a linear map. -/
def lsubtype_domain : (α →₀ M) →ₗ[R] (s →₀ M) :=
{ to_fun := subtype_domain (λx, x ∈ s),
map_add' := λ a b, subtype_domain_add,
map_smul' := λ c a, ext $ λ a, rfl }
lemma lsubtype_domain_apply (f : α →₀ M) :
(lsubtype_domain s : (α →₀ M) →ₗ[R] (s →₀ M)) f = subtype_domain (λx, x ∈ s) f := rfl
end lsubtype_domain
@[simp] lemma lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] (α →₀ M)) b = single a b :=
rfl
@[simp] lemma lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a :=
rfl
@[simp] lemma ker_lsingle (a : α) : (lsingle a : M →ₗ[R] (α →₀ M)).ker = ⊥ :=
ker_eq_bot_of_injective (single_injective a)
lemma lsingle_range_le_ker_lapply (s t : set α) (h : disjoint s t) :
(⨆a∈s, (lsingle a : M →ₗ[R] (α →₀ M)).range) ≤ (⨅a∈t, ker (lapply a)) :=
begin
refine supr_le (assume a₁, supr_le $ assume h₁, range_le_iff_comap.2 _),
simp only [(ker_comp _ _).symm, eq_top_iff, set_like.le_def, mem_ker, comap_infi, mem_infi],
assume b hb a₂ h₂,
have : a₁ ≠ a₂ := assume eq, h ⟨h₁, eq.symm ▸ h₂⟩,
exact single_eq_of_ne this
end
lemma infi_ker_lapply_le_bot : (⨅a, ker (lapply a : (α →₀ M) →ₗ[R] M)) ≤ ⊥ :=
begin
simp only [set_like.le_def, mem_infi, mem_ker, mem_bot, lapply_apply],
exact assume a h, finsupp.ext h
end
lemma supr_lsingle_range : (⨆a, (lsingle a : M →ₗ[R] (α →₀ M)).range) = ⊤ :=
begin
refine (eq_top_iff.2 $ set_like.le_def.2 $ assume f _, _),
rw [← sum_single f],
exact sum_mem _ (assume a ha, submodule.mem_supr_of_mem a ⟨_, rfl⟩),
end
lemma disjoint_lsingle_lsingle (s t : set α) (hs : disjoint s t) :
disjoint (⨆a∈s, (lsingle a : M →ₗ[R] (α →₀ M)).range) (⨆a∈t, (lsingle a).range) :=
begin
refine disjoint.mono
(lsingle_range_le_ker_lapply _ _ $ disjoint_compl_right)
(lsingle_range_le_ker_lapply _ _ $ disjoint_compl_right)
(le_trans (le_infi $ assume i, _) infi_ker_lapply_le_bot),
classical,
by_cases his : i ∈ s,
{ by_cases hit : i ∈ t,
{ exact (hs ⟨his, hit⟩).elim },
exact inf_le_of_right_le (infi_le_of_le i $ infi_le _ hit) },
exact inf_le_of_left_le (infi_le_of_le i $ infi_le _ his)
end
lemma span_single_image (s : set M) (a : α) :
submodule.span R (single a '' s) = (submodule.span R s).map (lsingle a) :=
by rw ← span_image; refl
variables (M R)
/-- `finsupp.supported M R s` is the `R`-submodule of all `p : α →₀ M` such that `p.support ⊆ s`. -/
def supported (s : set α) : submodule R (α →₀ M) :=
begin
refine ⟨ {p | ↑p.support ⊆ s }, _, _, _ ⟩,
{ simp only [subset_def, finset.mem_coe, set.mem_set_of_eq, mem_support_iff, zero_apply],
assume h ha, exact (ha rfl).elim },
{ assume p q hp hq,
refine subset.trans
(subset.trans (finset.coe_subset.2 support_add) _) (union_subset hp hq),
rw [finset.coe_union] },
{ assume a p hp,
refine subset.trans (finset.coe_subset.2 support_smul) hp }
end
variables {M}
lemma mem_supported {s : set α} (p : α →₀ M) : p ∈ (supported M R s) ↔ ↑p.support ⊆ s :=
iff.rfl
lemma mem_supported' {s : set α} (p : α →₀ M) :
p ∈ supported M R s ↔ ∀ x ∉ s, p x = 0 :=
by haveI := classical.dec_pred (λ (x : α), x ∈ s);
simp [mem_supported, set.subset_def, not_imp_comm]
lemma mem_supported_support (p : α →₀ M) :
p ∈ finsupp.supported M R (p.support : set α) :=
by rw finsupp.mem_supported
lemma single_mem_supported {s : set α} {a : α} (b : M) (h : a ∈ s) :
single a b ∈ supported M R s :=
set.subset.trans support_single_subset (finset.singleton_subset_set_iff.2 h)
lemma supported_eq_span_single (s : set α) :
supported R R s = span R ((λ i, single i 1) '' s) :=
begin
refine (span_eq_of_le _ _ (set_like.le_def.2 $ λ l hl, _)).symm,
{ rintro _ ⟨_, hp, rfl ⟩ , exact single_mem_supported R 1 hp },
{ rw ← l.sum_single,
refine sum_mem _ (λ i il, _),
convert @smul_mem R (α →₀ R) _ _ _ _ (single i 1) (l i) _,
{ simp },
apply subset_span,
apply set.mem_image_of_mem _ (hl il) }
end
variables (M R)
/-- Interpret `finsupp.filter s` as a linear map from `α →₀ M` to `supported M R s`. -/
def restrict_dom (s : set α) : (α →₀ M) →ₗ supported M R s :=
linear_map.cod_restrict _
{ to_fun := filter (∈ s),
map_add' := λ l₁ l₂, filter_add,
map_smul' := λ a l, filter_smul }
(λ l, (mem_supported' _ _).2 $ λ x, filter_apply_neg (∈ s) l)
variables {M R}
section
@[simp] theorem restrict_dom_apply (s : set α) (l : α →₀ M) :
((restrict_dom M R s : (α →₀ M) →ₗ supported M R s) l : α →₀ M) = finsupp.filter (∈ s) l := rfl
end
theorem restrict_dom_comp_subtype (s : set α) :
(restrict_dom M R s).comp (submodule.subtype _) = linear_map.id :=
begin
ext l a,
by_cases a ∈ s; simp [h],
exact ((mem_supported' R l.1).1 l.2 a h).symm
end
theorem range_restrict_dom (s : set α) :
(restrict_dom M R s).range = ⊤ :=
range_eq_top.2 $ function.right_inverse.surjective $
linear_map.congr_fun (restrict_dom_comp_subtype s)
theorem supported_mono {s t : set α} (st : s ⊆ t) :
supported M R s ≤ supported M R t :=
λ l h, set.subset.trans h st
@[simp] theorem supported_empty : supported M R (∅ : set α) = ⊥ :=
eq_bot_iff.2 $ λ l h, (submodule.mem_bot R).2 $
by ext; simp [*, mem_supported'] at *
@[simp] theorem supported_univ : supported M R (set.univ : set α) = ⊤ :=
eq_top_iff.2 $ λ l _, set.subset_univ _
theorem supported_Union {δ : Type*} (s : δ → set α) :
supported M R (⋃ i, s i) = ⨆ i, supported M R (s i) :=
begin
refine le_antisymm _ (supr_le $ λ i, supported_mono $ set.subset_Union _ _),
haveI := classical.dec_pred (λ x, x ∈ (⋃ i, s i)),
suffices : ((submodule.subtype _).comp (restrict_dom M R (⋃ i, s i))).range ≤
⨆ i, supported M R (s i),
{ rwa [linear_map.range_comp, range_restrict_dom, map_top, range_subtype] at this },
rw [range_le_iff_comap, eq_top_iff],
rintro l ⟨⟩,
apply finsupp.induction l, {exact zero_mem _},
refine λ x a l hl a0, add_mem _ _,
by_cases (∃ i, x ∈ s i); simp [h],
{ cases h with i hi,
exact le_supr (λ i, supported M R (s i)) i (single_mem_supported R _ hi) }
end
theorem supported_union (s t : set α) :
supported M R (s ∪ t) = supported M R s ⊔ supported M R t :=
by erw [set.union_eq_Union, supported_Union, supr_bool_eq]; refl
theorem supported_Inter {ι : Type*} (s : ι → set α) :
supported M R (⋂ i, s i) = ⨅ i, supported M R (s i) :=
submodule.ext $ λ x, by simp [mem_supported, subset_Inter_iff]
theorem supported_inter (s t : set α) :
supported M R (s ∩ t) = supported M R s ⊓ supported M R t :=
by rw [set.inter_eq_Inter, supported_Inter, infi_bool_eq]; refl
theorem disjoint_supported_supported {s t : set α} (h : disjoint s t) :
disjoint (supported M R s) (supported M R t) :=
disjoint_iff.2 $ by rw [← supported_inter, disjoint_iff_inter_eq_empty.1 h, supported_empty]
theorem disjoint_supported_supported_iff [nontrivial M] {s t : set α} :
disjoint (supported M R s) (supported M R t) ↔ disjoint s t :=
begin
refine ⟨λ h x hx, _, disjoint_supported_supported⟩,
rcases exists_ne (0 : M) with ⟨y, hy⟩,
have := h ⟨single_mem_supported R y hx.1, single_mem_supported R y hx.2⟩,
rw [mem_bot, single_eq_zero] at this,
exact hy this
end
/-- Interpret `finsupp.restrict_support_equiv` as a linear equivalence between
`supported M R s` and `s →₀ M`. -/
def supported_equiv_finsupp (s : set α) : (supported M R s) ≃ₗ[R] (s →₀ M) :=
begin
let F : (supported M R s) ≃ (s →₀ M) := restrict_support_equiv s M,
refine F.to_linear_equiv _,
have : (F : (supported M R s) → (↥s →₀ M)) = ((lsubtype_domain s : (α →₀ M) →ₗ[R] (s →₀ M)).comp
(submodule.subtype (supported M R s))) := rfl,
rw this,
exact linear_map.is_linear _
end
section lsum
variables (S) [module S N] [smul_comm_class R S N]
/-- Lift a family of linear maps `M →ₗ[R] N` indexed by `x : α` to a linear map from `α →₀ M` to
`N` using `finsupp.sum`. This is an upgraded version of `finsupp.lift_add_hom`.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used.
-/
def lsum : (α → M →ₗ[R] N) ≃ₗ[S] ((α →₀ M) →ₗ[R] N) :=
{ to_fun := λ F, {
to_fun := λ d, d.sum (λ i, F i),
map_add' := (lift_add_hom (λ x, (F x).to_add_monoid_hom)).map_add,
map_smul' := λ c f, by simp [sum_smul_index', smul_sum] },
inv_fun := λ F x, F.comp (lsingle x),
left_inv := λ F, by { ext x y, simp },
right_inv := λ F, by { ext x y, simp },
map_add' := λ F G, by { ext x y, simp },
map_smul' := λ F G, by { ext x y, simp } }
@[simp] lemma coe_lsum (f : α → M →ₗ[R] N) : (lsum S f : (α →₀ M) → N) = λ d, d.sum (λ i, f i) :=
rfl
theorem lsum_apply (f : α → M →ₗ[R] N) (l : α →₀ M) :
finsupp.lsum S f l = l.sum (λ b, f b) := rfl
theorem lsum_single (f : α → M →ₗ[R] N) (i : α) (m : M) :
finsupp.lsum S f (finsupp.single i m) = f i m :=
finsupp.sum_single_index (f i).map_zero
theorem lsum_symm_apply (f : (α →₀ M) →ₗ[R] N) (x : α) :
(lsum S).symm f x = f.comp (lsingle x) := rfl
end lsum
section
variables (M) (R) (X : Type*)
/--
A slight rearrangement from `lsum` gives us
the bijection underlying the free-forgetful adjunction for R-modules.
-/
noncomputable def lift : (X → M) ≃+ ((X →₀ R) →ₗ[R] M) :=
(add_equiv.arrow_congr (equiv.refl X) (ring_lmap_equiv_self R M ℕ).to_add_equiv.symm).trans
(lsum _ : _ ≃ₗ[ℕ] _).to_add_equiv
@[simp]
lemma lift_symm_apply (f) (x) : ((lift M R X).symm f) x = f (single x 1) :=
rfl
@[simp]
lemma lift_apply (f) (g) :
((lift M R X) f) g = g.sum (λ x r, r • f x) :=
rfl
end
section lmap_domain
variables {α' : Type*} {α'' : Type*} (M R)
/-- Interpret `finsupp.map_domain` as a linear map. -/
def lmap_domain (f : α → α') : (α →₀ M) →ₗ[R] (α' →₀ M) :=
{ to_fun := map_domain f, map_add' := λ a b, map_domain_add, map_smul' := map_domain_smul }
@[simp] theorem lmap_domain_apply (f : α → α') (l : α →₀ M) :
(lmap_domain M R f : (α →₀ M) →ₗ[R] (α' →₀ M)) l = map_domain f l := rfl
@[simp] theorem lmap_domain_id : (lmap_domain M R id : (α →₀ M) →ₗ[R] α →₀ M) = linear_map.id :=
linear_map.ext $ λ l, map_domain_id
theorem lmap_domain_comp (f : α → α') (g : α' → α'') :
lmap_domain M R (g ∘ f) = (lmap_domain M R g).comp (lmap_domain M R f) :=
linear_map.ext $ λ l, map_domain_comp
theorem supported_comap_lmap_domain (f : α → α') (s : set α') :
supported M R (f ⁻¹' s) ≤ (supported M R s).comap (lmap_domain M R f) :=
λ l (hl : ↑l.support ⊆ f ⁻¹' s),
show ↑(map_domain f l).support ⊆ s, begin
rw [← set.image_subset_iff, ← finset.coe_image] at hl,
exact set.subset.trans map_domain_support hl
end
theorem lmap_domain_supported [nonempty α] (f : α → α') (s : set α) :
(supported M R s).map (lmap_domain M R f) = supported M R (f '' s) :=
begin
inhabit α,
refine le_antisymm (map_le_iff_le_comap.2 $
le_trans (supported_mono $ set.subset_preimage_image _ _)
(supported_comap_lmap_domain _ _ _ _)) _,
intros l hl,
refine ⟨(lmap_domain M R (function.inv_fun_on f s) : (α' →₀ M) →ₗ α →₀ M) l, λ x hx, _, _⟩,
{ rcases finset.mem_image.1 (map_domain_support hx) with ⟨c, hc, rfl⟩,
exact function.inv_fun_on_mem (by simpa using hl hc) },
{ rw [← linear_map.comp_apply, ← lmap_domain_comp],
refine (map_domain_congr $ λ c hc, _).trans map_domain_id,
exact function.inv_fun_on_eq (by simpa using hl hc) }
end
theorem lmap_domain_disjoint_ker (f : α → α') {s : set α}
(H : ∀ a b ∈ s, f a = f b → a = b) :
disjoint (supported M R s) (lmap_domain M R f).ker :=
begin
rintro l ⟨h₁, h₂⟩,
rw [set_like.mem_coe, mem_ker, lmap_domain_apply, map_domain] at h₂,
simp, ext x,
haveI := classical.dec_pred (λ x, x ∈ s),
by_cases xs : x ∈ s,
{ have : finsupp.sum l (λ a, finsupp.single (f a)) (f x) = 0, {rw h₂, refl},
rw [finsupp.sum_apply, finsupp.sum, finset.sum_eq_single x] at this,
{ simpa [finsupp.single_apply] },
{ intros y hy xy, simp [mt (H _ _ (h₁ hy) xs) xy] },
{ simp {contextual := tt} } },
{ by_contra h, exact xs (h₁ $ finsupp.mem_support_iff.2 h) }
end
end lmap_domain
section total
variables (α) {α' : Type*} (M) {M' : Type*} (R)
[add_comm_monoid M'] [module R M']
(v : α → M) {v' : α' → M'}
/-- Interprets (l : α →₀ R) as linear combination of the elements in the family (v : α → M) and
evaluates this linear combination. -/
protected def total : (α →₀ R) →ₗ[R] M := finsupp.lsum ℕ (λ i, linear_map.id.smul_right (v i))
variables {α M v}
theorem total_apply (l : α →₀ R) :
finsupp.total α M R v l = l.sum (λ i a, a • v i) := rfl
theorem total_apply_of_mem_supported {l : α →₀ R} {s : finset α}
(hs : l ∈ supported R R (↑s : set α)) :
finsupp.total α M R v l = s.sum (λ i, l i • v i) :=
finset.sum_subset hs $ λ x _ hxg, show l x • v x = 0, by rw [not_mem_support_iff.1 hxg, zero_smul]
@[simp] theorem total_single (c : R) (a : α) :
finsupp.total α M R v (single a c) = c • (v a) :=
by simp [total_apply, sum_single_index]
theorem total_unique [unique α] (l : α →₀ R) (v) :
finsupp.total α M R v l = l (default α) • v (default α) :=
by rw [← total_single, ← unique_single l]
lemma total_surjective (h : function.surjective v) : function.surjective (finsupp.total α M R v) :=
begin
intro x,
obtain ⟨y, hy⟩ := h x,
exact ⟨finsupp.single y 1, by simp [hy]⟩
end
theorem total_range (h : function.surjective v) : (finsupp.total α M R v).range = ⊤ :=
range_eq_top.2 $ total_surjective R h
/-- Any module is a quotient of a free module. This is stated as surjectivity of
`finsupp.total M M R id : (M →₀ R) →ₗ[R] M`. -/
lemma total_id_surjective (M) [add_comm_monoid M] [module R M] :
function.surjective (finsupp.total M M R id) :=
total_surjective R function.surjective_id
lemma range_total : (finsupp.total α M R v).range = span R (range v) :=
begin
ext x,
split,
{ intros hx,
rw [linear_map.mem_range] at hx,
rcases hx with ⟨l, hl⟩,
rw ← hl,
rw finsupp.total_apply,
unfold finsupp.sum,
apply sum_mem (span R (range v)),
exact λ i hi, submodule.smul_mem _ _ (subset_span (mem_range_self i)) },
{ apply span_le.2,
intros x hx,
rcases hx with ⟨i, hi⟩,
rw [set_like.mem_coe, linear_map.mem_range],
use finsupp.single i 1,
simp [hi] }
end
theorem lmap_domain_total (f : α → α') (g : M →ₗ[R] M') (h : ∀ i, g (v i) = v' (f i)) :
(finsupp.total α' M' R v').comp (lmap_domain R R f) = g.comp (finsupp.total α M R v) :=
by ext l; simp [total_apply, finsupp.sum_map_domain_index, add_smul, h]
@[simp] theorem total_emb_domain (f : α ↪ α') (l : α →₀ R) :
(finsupp.total α' M' R v') (emb_domain f l) = (finsupp.total α M' R (v' ∘ f)) l :=
by simp [total_apply, finsupp.sum, support_emb_domain, emb_domain_apply]
theorem total_map_domain (f : α → α') (hf : function.injective f) (l : α →₀ R) :
(finsupp.total α' M' R v') (map_domain f l) = (finsupp.total α M' R (v' ∘ f)) l :=
begin
have : map_domain f l = emb_domain ⟨f, hf⟩ l,
{ rw emb_domain_eq_map_domain ⟨f, hf⟩,
refl },
rw this,
apply total_emb_domain R ⟨f, hf⟩ l
end
@[simp] theorem total_equiv_map_domain (f : α ≃ α') (l : α →₀ R) :
(finsupp.total α' M' R v') (equiv_map_domain f l) = (finsupp.total α M' R (v' ∘ f)) l :=
by rw [equiv_map_domain_eq_map_domain, total_map_domain _ _ f.injective]
/-- A version of `finsupp.range_total` which is useful for going in the other direction -/
theorem span_eq_range_total (s : set M) :
span R s = (finsupp.total s M R coe).range :=
by rw [range_total, subtype.range_coe_subtype, set.set_of_mem_eq]
theorem mem_span_iff_total (s : set M) (x : M) :
x ∈ span R s ↔ ∃ l : s →₀ R, finsupp.total s M R coe l = x :=
(set_like.ext_iff.1 $ span_eq_range_total _ _) x
theorem span_image_eq_map_total (s : set α):
span R (v '' s) = submodule.map (finsupp.total α M R v) (supported R R s) :=
begin
apply span_eq_of_le,
{ intros x hx,
rw set.mem_image at hx,
apply exists.elim hx,
intros i hi,
exact ⟨_, finsupp.single_mem_supported R 1 hi.1, by simp [hi.2]⟩ },
{ refine map_le_iff_le_comap.2 (λ z hz, _),
have : ∀i, z i • v i ∈ span R (v '' s),
{ intro c,
haveI := classical.dec_pred (λ x, x ∈ s),
by_cases c ∈ s,
{ exact smul_mem _ _ (subset_span (set.mem_image_of_mem _ h)) },
{ simp [(finsupp.mem_supported' R _).1 hz _ h] } },
refine sum_mem _ _, simp [this] }
end
theorem mem_span_image_iff_total {s : set α} {x : M} :
x ∈ span R (v '' s) ↔ ∃ l ∈ supported R R s, finsupp.total α M R v l = x :=
by { rw span_image_eq_map_total, simp, }
@[simp] lemma total_fin_zero (f : fin 0 → M) :
finsupp.total (fin 0) M R f = 0 :=
by { ext i, apply fin_zero_elim i }
variables (α) (M) (v)
/-- `finsupp.total_on M v s` interprets `p : α →₀ R` as a linear combination of a
subset of the vectors in `v`, mapping it to the span of those vectors.
The subset is indicated by a set `s : set α` of indices.
-/
protected def total_on (s : set α) : supported R R s →ₗ[R] span R (v '' s) :=
linear_map.cod_restrict _ ((finsupp.total _ _ _ v).comp (submodule.subtype (supported R R s))) $
λ ⟨l, hl⟩, (mem_span_image_iff_total _).2 ⟨l, hl, rfl⟩
variables {α} {M} {v}
theorem total_on_range (s : set α) : (finsupp.total_on α M R v s).range = ⊤ :=
begin
rw [finsupp.total_on, linear_map.range_eq_map, linear_map.map_cod_restrict,
← linear_map.range_le_iff_comap, range_subtype, map_top, linear_map.range_comp, range_subtype],
exact (span_image_eq_map_total _ _).le
end
theorem total_comp (f : α' → α) :
(finsupp.total α' M R (v ∘ f)) = (finsupp.total α M R v).comp (lmap_domain R R f) :=
by { ext, simp [total_apply] }
lemma total_comap_domain
(f : α → α') (l : α' →₀ R) (hf : set.inj_on f (f ⁻¹' ↑l.support)) :
finsupp.total α M R v (finsupp.comap_domain f l hf) =
(l.support.preimage f hf).sum (λ i, (l (f i)) • (v i)) :=
by rw finsupp.total_apply; refl
lemma total_on_finset
{s : finset α} {f : α → R} (g : α → M) (hf : ∀ a, f a ≠ 0 → a ∈ s):
finsupp.total α M R g (finsupp.on_finset s f hf) =
finset.sum s (λ (x : α), f x • g x) :=
begin
simp only [finsupp.total_apply, finsupp.sum, finsupp.on_finset_apply, finsupp.support_on_finset],
rw finset.sum_filter_of_ne,
intros x hx h,
contrapose! h,
simp [h],
end
end total
/-- An equivalence of domains induces a linear equivalence of finitely supported functions.
This is `finsupp.dom_congr` as a `linear_equiv`.-/
protected def dom_lcongr {α₁ α₂ : Type*} (e : α₁ ≃ α₂) :
(α₁ →₀ M) ≃ₗ[R] (α₂ →₀ M) :=
(finsupp.dom_congr e : (α₁ →₀ M) ≃+ (α₂ →₀ M)).to_linear_equiv $
by simpa only [equiv_map_domain_eq_map_domain, dom_congr_apply]
using (lmap_domain M R e).map_smul
@[simp]
lemma dom_lcongr_apply {α₁ : Type*} {α₂ : Type*} (e : α₁ ≃ α₂) (v : α₁ →₀ M) :
(finsupp.dom_lcongr e : _ ≃ₗ[R] _) v = finsupp.dom_congr e v :=
rfl
@[simp]
lemma dom_lcongr_refl : finsupp.dom_lcongr (equiv.refl α) = linear_equiv.refl R (α →₀ M) :=
linear_equiv.ext $ λ _, equiv_map_domain_refl _
lemma dom_lcongr_trans {α₁ α₂ α₃ : Type*} (f : α₁ ≃ α₂) (f₂ : α₂ ≃ α₃) :
(finsupp.dom_lcongr f).trans (finsupp.dom_lcongr f₂) =
(finsupp.dom_lcongr (f.trans f₂) : (_ →₀ M) ≃ₗ[R] _) :=
linear_equiv.ext $ λ _, (equiv_map_domain_trans _ _ _).symm
@[simp]
lemma dom_lcongr_symm {α₁ α₂ : Type*} (f : α₁ ≃ α₂) :
((finsupp.dom_lcongr f).symm : (_ →₀ M) ≃ₗ[R] _) = finsupp.dom_lcongr f.symm :=
linear_equiv.ext $ λ x, rfl
@[simp] theorem dom_lcongr_single {α₁ : Type*} {α₂ : Type*} (e : α₁ ≃ α₂) (i : α₁) (m : M) :
(finsupp.dom_lcongr e : _ ≃ₗ[R] _) (finsupp.single i m) = finsupp.single (e i) m :=
by simp [finsupp.dom_lcongr, finsupp.dom_congr, equiv_map_domain_single]
/-- An equivalence of sets induces a linear equivalence of `finsupp`s supported on those sets. -/
noncomputable def congr {α' : Type*} (s : set α) (t : set α') (e : s ≃ t) :
supported M R s ≃ₗ[R] supported M R t :=
begin
haveI := classical.dec_pred (λ x, x ∈ s),
haveI := classical.dec_pred (λ x, x ∈ t),
refine linear_equiv.trans (finsupp.supported_equiv_finsupp s)
(linear_equiv.trans _ (finsupp.supported_equiv_finsupp t).symm),
exact finsupp.dom_lcongr e
end
/-- `finsupp.map_range` as a `linear_map`. -/
@[simps]
def map_range.linear_map (f : M →ₗ[R] N) : (α →₀ M) →ₗ[R] (α →₀ N) :=
{ to_fun := (map_range f f.map_zero : (α →₀ M) → (α →₀ N)),
map_smul' := λ c v, map_range_smul c v (f.map_smul c),
..map_range.add_monoid_hom f.to_add_monoid_hom }
@[simp]
lemma map_range.linear_map_id :
map_range.linear_map linear_map.id = (linear_map.id : (α →₀ M) →ₗ[R] _):=
linear_map.ext map_range_id
lemma map_range.linear_map_comp (f : N →ₗ[R] P) (f₂ : M →ₗ[R] N) :
(map_range.linear_map (f.comp f₂) : (α →₀ _) →ₗ[R] _) =
(map_range.linear_map f).comp (map_range.linear_map f₂) :=
linear_map.ext $ map_range_comp _ _ _ _ _
/-- `finsupp.map_range` as a `linear_equiv`. -/
@[simps apply]
def map_range.linear_equiv (e : M ≃ₗ[R] N) : (α →₀ M) ≃ₗ[R] (α →₀ N) :=
{ to_fun := map_range e e.map_zero,
inv_fun := map_range e.symm e.symm.map_zero,
..map_range.linear_map e.to_linear_map,
..map_range.add_equiv e.to_add_equiv}
@[simp]
lemma map_range.linear_equiv_refl :
map_range.linear_equiv (linear_equiv.refl R M) = linear_equiv.refl R (α →₀ M) :=
linear_equiv.ext map_range_id
lemma map_range.linear_equiv_trans (f : M ≃ₗ[R] N) (f₂ : N ≃ₗ[R] P) :
(map_range.linear_equiv (f.trans f₂) : linear_equiv R (α →₀ _) _) =
(map_range.linear_equiv f).trans (map_range.linear_equiv f₂) :=
linear_equiv.ext $ map_range_comp _ _ _ _ _
@[simp]
lemma map_range.linear_equiv_symm (f : M ≃ₗ[R] N) :
((map_range.linear_equiv f).symm : (α →₀ _) ≃ₗ[R] _) = map_range.linear_equiv f.symm :=
linear_equiv.ext $ λ x, rfl
/-- An equivalence of domain and a linear equivalence of codomain induce a linear equivalence of the
corresponding finitely supported functions. -/
def lcongr {ι κ : Sort*} (e₁ : ι ≃ κ) (e₂ : M ≃ₗ[R] N) : (ι →₀ M) ≃ₗ[R] (κ →₀ N) :=
(finsupp.dom_lcongr e₁).trans (map_range.linear_equiv e₂)
@[simp] theorem lcongr_single {ι κ : Sort*} (e₁ : ι ≃ κ) (e₂ : M ≃ₗ[R] N) (i : ι) (m : M) :
lcongr e₁ e₂ (finsupp.single i m) = finsupp.single (e₁ i) (e₂ m) :=
by simp [lcongr]
@[simp] lemma lcongr_apply_apply {ι κ : Sort*} (e₁ : ι ≃ κ) (e₂ : M ≃ₗ[R] N) (f : ι →₀ M) (k : κ) :
lcongr e₁ e₂ f k = e₂ (f (e₁.symm k)) :=
begin
apply finsupp.induction_linear f,
{ simp, },
{ intros f g hf hg, simp [map_add, hf, hg], },
{ intros i m,
simp only [finsupp.lcongr_single],
simp only [finsupp.single, equiv.eq_symm_apply, finsupp.coe_mk],
split_ifs; simp, },
end
theorem lcongr_symm_single {ι κ : Sort*} (e₁ : ι ≃ κ) (e₂ : M ≃ₗ[R] N) (k : κ) (n : N) :
(lcongr e₁ e₂).symm (finsupp.single k n) = finsupp.single (e₁.symm k) (e₂.symm n) :=
begin
apply_fun lcongr e₁ e₂ using (lcongr e₁ e₂).injective,
simp,
end
@[simp] lemma lcongr_symm {ι κ : Sort*} (e₁ : ι ≃ κ) (e₂ : M ≃ₗ[R] N) :
(lcongr e₁ e₂).symm = lcongr e₁.symm e₂.symm :=
begin
ext f i,
simp only [equiv.symm_symm, finsupp.lcongr_apply_apply],
apply finsupp.induction_linear f,
{ simp, },
{ intros f g hf hg, simp [map_add, hf, hg], },
{ intros k m,
simp only [finsupp.lcongr_symm_single],
simp only [finsupp.single, equiv.symm_apply_eq, finsupp.coe_mk],
split_ifs; simp, },
end
section sum
variables (R)
/-- The linear equivalence between `(α ⊕ β) →₀ M` and `(α →₀ M) × (β →₀ M)`.
This is the `linear_equiv` version of `finsupp.sum_finsupp_equiv_prod_finsupp`. -/
@[simps apply symm_apply] def sum_finsupp_lequiv_prod_finsupp {α β : Type*} :
((α ⊕ β) →₀ M) ≃ₗ[R] (α →₀ M) × (β →₀ M) :=
{ map_smul' :=
by { intros, ext;
simp only [add_equiv.to_fun_eq_coe, prod.smul_fst, prod.smul_snd, smul_apply,
snd_sum_finsupp_add_equiv_prod_finsupp, fst_sum_finsupp_add_equiv_prod_finsupp] },
.. sum_finsupp_add_equiv_prod_finsupp }
lemma fst_sum_finsupp_lequiv_prod_finsupp {α β : Type*}
(f : (α ⊕ β) →₀ M) (x : α) :
(sum_finsupp_lequiv_prod_finsupp R f).1 x = f (sum.inl x) :=
rfl
lemma snd_sum_finsupp_lequiv_prod_finsupp {α β : Type*}
(f : (α ⊕ β) →₀ M) (y : β) :
(sum_finsupp_lequiv_prod_finsupp R f).2 y = f (sum.inr y) :=
rfl
lemma sum_finsupp_lequiv_prod_finsupp_symm_inl {α β : Type*}
(fg : (α →₀ M) × (β →₀ M)) (x : α) :
((sum_finsupp_lequiv_prod_finsupp R).symm fg) (sum.inl x) = fg.1 x :=
rfl
lemma sum_finsupp_lequiv_prod_finsupp_symm_inr {α β : Type*}
(fg : (α →₀ M) × (β →₀ M)) (y : β) :
((sum_finsupp_lequiv_prod_finsupp R).symm fg) (sum.inr y) = fg.2 y :=
rfl
end sum
section sigma
variables {η : Type*} [fintype η] {ιs : η → Type*} [has_zero α]
variables (R)
/-- On a `fintype η`, `finsupp.split` is a linear equivalence between
`(Σ (j : η), ιs j) →₀ M` and `Π j, (ιs j →₀ M)`.
This is the `linear_equiv` version of `finsupp.sigma_finsupp_add_equiv_pi_finsupp`. -/
noncomputable def sigma_finsupp_lequiv_pi_finsupp
{M : Type*} {ιs : η → Type*} [add_comm_monoid M] [module R M] :
((Σ j, ιs j) →₀ M) ≃ₗ[R] Π j, (ιs j →₀ M) :=
{ map_smul' := λ c f, by { ext, simp },
.. sigma_finsupp_add_equiv_pi_finsupp }
@[simp] lemma sigma_finsupp_lequiv_pi_finsupp_apply
{M : Type*} {ιs : η → Type*} [add_comm_monoid M] [module R M]
(f : (Σ j, ιs j) →₀ M) (j i) :
sigma_finsupp_lequiv_pi_finsupp R f j i = f ⟨j, i⟩ := rfl
@[simp] lemma sigma_finsupp_lequiv_pi_finsupp_symm_apply
{M : Type*} {ιs : η → Type*} [add_comm_monoid M] [module R M]
(f : Π j, (ιs j →₀ M)) (ji) :
(finsupp.sigma_finsupp_lequiv_pi_finsupp R).symm f ji = f ji.1 ji.2 := rfl
end sigma
section prod
/-- The linear equivalence between `α × β →₀ M` and `α →₀ β →₀ M`.
This is the `linear_equiv` version of `finsupp.finsupp_prod_equiv`. -/
noncomputable def finsupp_prod_lequiv {α β : Type*} (R : Type*) {M : Type*}
[semiring R] [add_comm_monoid M] [module R M] :
(α × β →₀ M) ≃ₗ[R] (α →₀ β →₀ M) :=
{ map_add' := λ f g, by { ext, simp [finsupp_prod_equiv, curry_apply] },
map_smul' := λ c f, by { ext, simp [finsupp_prod_equiv, curry_apply] },
.. finsupp_prod_equiv }
@[simp] lemma finsupp_prod_lequiv_apply {α β R M : Type*}
[semiring R] [add_comm_monoid M] [module R M] (f : α × β →₀ M) (x y) :
finsupp_prod_lequiv R f x y = f (x, y) :=
by rw [finsupp_prod_lequiv, linear_equiv.coe_mk, finsupp_prod_equiv, finsupp.curry_apply]
@[simp] lemma finsupp_prod_lequiv_symm_apply {α β R M : Type*}
[semiring R] [add_comm_monoid M] [module R M] (f : α →₀ β →₀ M) (xy) :
(finsupp_prod_lequiv R).symm f xy = f xy.1 xy.2 :=
by conv_rhs
{ rw [← (finsupp_prod_lequiv R).apply_symm_apply f, finsupp_prod_lequiv_apply, prod.mk.eta] }
end prod
end finsupp
variables {R : Type*} {M : Type*} {N : Type*}
variables [semiring R] [add_comm_monoid M] [module R M] [add_comm_monoid N] [module R N]
section
variables (R)
/--
Pick some representation of `x : span R w` as a linear combination in `w`,
using the axiom of choice.
-/
def span.repr (w : set M) (x : span R w) :
w →₀ R :=
((finsupp.mem_span_iff_total _ _ _).mp x.2).some
@[simp] lemma span.finsupp_total_repr {w : set M} (x : span R w) :
finsupp.total w M R coe (span.repr R w x) = x :=
((finsupp.mem_span_iff_total _ _ _).mp x.2).some_spec
attribute [irreducible] span.repr
end
lemma submodule.finsupp_sum_mem {ι β : Type*} [has_zero β] (S : submodule R M) (f : ι →₀ β)
(g : ι → β → M) (h : ∀ c, f c ≠ 0 → g c (f c) ∈ S) : f.sum g ∈ S :=
S.to_add_submonoid.finsupp_sum_mem f g h
lemma linear_map.map_finsupp_total
(f : M →ₗ[R] N) {ι : Type*} {g : ι → M} (l : ι →₀ R) :
f (finsupp.total ι M R g l) = finsupp.total ι N R (f ∘ g) l :=
by simp only [finsupp.total_apply, finsupp.total_apply, finsupp.sum, f.map_sum, f.map_smul]
lemma submodule.exists_finset_of_mem_supr
{ι : Sort*} (p : ι → submodule R M) {m : M} (hm : m ∈ ⨆ i, p i) :
∃ s : finset ι, m ∈ ⨆ i ∈ s, p i :=
begin
obtain ⟨f, hf, rfl⟩ : ∃ f ∈ finsupp.supported R R (⋃ i, ↑(p i)), finsupp.total M M R id f = m,
{ have aux : (id : M → M) '' (⋃ (i : ι), ↑(p i)) = (⋃ (i : ι), ↑(p i)) := set.image_id _,
rwa [supr_eq_span, ← aux, finsupp.mem_span_image_iff_total R] at hm },
let t : finset M := f.support,
have ht : ∀ x : {x // x ∈ t}, ∃ i, ↑x ∈ p i,
{ intros x,
rw finsupp.mem_supported at hf,
specialize hf x.2,
rwa set.mem_Union at hf },
choose g hg using ht,
let s : finset ι := finset.univ.image g,
use s,
simp only [mem_supr, supr_le_iff],
assume N hN,
rw [finsupp.total_apply, finsupp.sum, ← set_like.mem_coe],
apply N.sum_mem,
assume x hx,
apply submodule.smul_mem,
let i : ι := g ⟨x, hx⟩,
have hi : i ∈ s, { rw finset.mem_image, exact ⟨⟨x, hx⟩, finset.mem_univ _, rfl⟩ },
exact hN i hi (hg _),
end
/-- `submodule.exists_finset_of_mem_supr` as an `iff` -/
lemma submodule.mem_supr_iff_exists_finset
{ι : Sort*} {p : ι → submodule R M} {m : M} :
(m ∈ ⨆ i, p i) ↔ ∃ s : finset ι, m ∈ ⨆ i ∈ s, p i :=
⟨submodule.exists_finset_of_mem_supr p,
λ ⟨_, hs⟩, supr_le_supr (λ i, (supr_const_le : _ ≤ p i)) hs⟩
lemma mem_span_finset {s : finset M} {x : M} :
x ∈ span R (↑s : set M) ↔ ∃ f : M → R, ∑ i in s, f i • i = x :=
⟨λ hx, let ⟨v, hvs, hvx⟩ := (finsupp.mem_span_image_iff_total _).1
(show x ∈ span R (id '' (↑s : set M)), by rwa set.image_id) in
⟨v, hvx ▸ (finsupp.total_apply_of_mem_supported _ hvs).symm⟩,
λ ⟨f, hf⟩, hf ▸ sum_mem _ (λ i hi, smul_mem _ _ $ subset_span hi)⟩
/-- An element `m ∈ M` is contained in the `R`-submodule spanned by a set `s ⊆ M`, if and only if
`m` can be written as a finite `R`-linear combination of elements of `s`.
The implementation uses `finsupp.sum`. -/
lemma mem_span_set {m : M} {s : set M} :
m ∈ submodule.span R s ↔ ∃ c : M →₀ R, (c.support : set M) ⊆ s ∧ c.sum (λ mi r, r • mi) = m :=
begin
conv_lhs { rw ←set.image_id s },
simp_rw ←exists_prop,
exact finsupp.mem_span_image_iff_total R,
end
/-- If `subsingleton R`, then `M ≃ₗ[R] ι →₀ R` for any type `ι`. -/
@[simps]
def module.subsingleton_equiv (R M ι: Type*) [semiring R] [subsingleton R] [add_comm_monoid M]
[module R M] : M ≃ₗ[R] ι →₀ R :=
{ to_fun := λ m, 0,
inv_fun := λ f, 0,
left_inv := λ m, by { letI := module.subsingleton R M, simp only [eq_iff_true_of_subsingleton] },
right_inv := λ f, by simp only [eq_iff_true_of_subsingleton],
map_add' := λ m n, (add_zero 0).symm,
map_smul' := λ r m, (smul_zero r).symm }
namespace linear_map
variables {R M} {α : Type*}
open finsupp function
/-- A surjective linear map to finitely supported functions has a splitting. -/
-- See also `linear_map.splitting_of_fun_on_fintype_surjective`
def splitting_of_finsupp_surjective (f : M →ₗ[R] (α →₀ R)) (s : surjective f) : (α →₀ R) →ₗ[R] M :=
finsupp.lift _ _ _ (λ x : α, (s (finsupp.single x 1)).some)
lemma splitting_of_finsupp_surjective_splits (f : M →ₗ[R] (α →₀ R)) (s : surjective f) :
f.comp (splitting_of_finsupp_surjective f s) = linear_map.id :=
begin
ext x y,
dsimp [splitting_of_finsupp_surjective],
congr,
rw [sum_single_index, one_smul],
{ exact (s (finsupp.single x 1)).some_spec, },
{ rw zero_smul, },
end
lemma left_inverse_splitting_of_finsupp_surjective (f : M →ₗ[R] (α →₀ R)) (s : surjective f) :
left_inverse f (splitting_of_finsupp_surjective f s) :=
λ g, linear_map.congr_fun (splitting_of_finsupp_surjective_splits f s) g
lemma splitting_of_finsupp_surjective_injective (f : M →ₗ[R] (α →₀ R)) (s : surjective f) :
injective (splitting_of_finsupp_surjective f s) :=
(left_inverse_splitting_of_finsupp_surjective f s).injective
/-- A surjective linear map to functions on a finite type has a splitting. -/
-- See also `linear_map.splitting_of_finsupp_surjective`
def splitting_of_fun_on_fintype_surjective [fintype α] (f : M →ₗ[R] (α → R)) (s : surjective f) :
(α → R) →ₗ[R] M :=
(finsupp.lift _ _ _ (λ x : α, (s (finsupp.single x 1)).some)).comp
(@linear_equiv_fun_on_fintype R R α _ _ _ _).symm.to_linear_map
lemma splitting_of_fun_on_fintype_surjective_splits
[fintype α] (f : M →ₗ[R] (α → R)) (s : surjective f) :
f.comp (splitting_of_fun_on_fintype_surjective f s) = linear_map.id :=
begin
ext x y,
dsimp [splitting_of_fun_on_fintype_surjective],
rw [linear_equiv_fun_on_fintype_symm_single, finsupp.sum_single_index, one_smul,
linear_map.id_coe, id_def,
(s (finsupp.single x 1)).some_spec, finsupp.single_eq_pi_single],
rw [zero_smul],
end
lemma left_inverse_splitting_of_fun_on_fintype_surjective
[fintype α] (f : M →ₗ[R] (α → R)) (s : surjective f) :
left_inverse f (splitting_of_fun_on_fintype_surjective f s) :=
λ g, linear_map.congr_fun (splitting_of_fun_on_fintype_surjective_splits f s) g
lemma splitting_of_fun_on_fintype_surjective_injective
[fintype α] (f : M →ₗ[R] (α → R)) (s : surjective f) :
injective (splitting_of_fun_on_fintype_surjective f s) :=
(left_inverse_splitting_of_fun_on_fintype_surjective f s).injective
end linear_map
|
72d755ade6ff1fd6f07fbc6d6cd74358f5d5861c | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /test/pointwise_nsmul.lean | d4d6769fbd28e97eab9826aa54b471a5a6a03715 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 1,410 | lean | /-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import data.finset.pointwise
import order.filter.pointwise
/-!
# Ensuring priority of the `ℕ` and `ℤ` actions over pointwise ones
See Note [pointwise nat action].
-/
open_locale pointwise
variables {α β : Type*} [add_group α] [decidable_eq α] [group β] [decidable_eq β]
-- It is ok for the proofs to stop being `rfl`, but these statements should remain true
example (s : set α) (n : ℕ) : n • s = nsmul_rec n s := rfl
example (s : set α) (n : ℤ) : n • s = zsmul_rec n s := rfl
example (s : set β) (n : ℕ) : s ^ n = npow_rec n s := rfl
example (s : set β) (n : ℤ) : s ^ n = zpow_rec n s := rfl
example (s : finset α) (n : ℕ) : n • s = nsmul_rec n s := rfl
example (s : finset α) (n : ℤ) : n • s = zsmul_rec n s := rfl
example (s : finset β) (n : ℕ) : s ^ n = npow_rec n s := rfl
example (s : finset β) (n : ℤ) : s ^ n = zpow_rec n s := rfl
example (s : filter α) (n : ℕ) : n • s = nsmul_rec n s := rfl
example (s : filter α) (n : ℤ) : n • s = zsmul_rec n s := rfl
example (s : filter β) (n : ℕ) : s ^ n = npow_rec n s := rfl
example (s : filter β) (n : ℤ) : s ^ n = zpow_rec n s := rfl
example : 2 • ({2, 3} : finset ℕ) = {4, 5, 6} := rfl
example : ({2, 3}^2 : finset ℕ) = {4, 6, 9} := rfl
|
98842db8b8fc82fe3514e8644f887106d819ab69 | 1a61aba1b67cddccce19532a9596efe44be4285f | /tests/lean/nary_overload.lean | 97fe35e8525482abbc00883d3940aab5c72f6a07 | [
"Apache-2.0"
] | permissive | eigengrau/lean | 07986a0f2548688c13ba36231f6cdbee82abf4c6 | f8a773be1112015e2d232661ce616d23f12874d0 | refs/heads/master | 1,610,939,198,566 | 1,441,352,386,000 | 1,441,352,494,000 | 41,903,576 | 0 | 0 | null | 1,441,352,210,000 | 1,441,352,210,000 | null | UTF-8 | Lean | false | false | 585 | lean | prelude
constant vec.{l} : Type.{l} → Type.{l}
constant lst.{l} : Type.{l} → Type.{l}
constant vec.nil {A : Type} : vec A
constant lst.nil {A : Type} : lst A
constant vec.cons {A : Type} : A → vec A → vec A
constant lst.cons {A : Type} : A → lst A → lst A
notation `[` l:(foldr `,` (h t, vec.cons h t) vec.nil `]`) := l
notation `[` l:(foldr `,` (h t, lst.cons h t) lst.nil `]`) := l
constant A : Type.{1}
variables a b c : A
check [a, b, c]
check ([a, b, c] : vec A)
check ([a, b, c] : lst A)
set_option pp.all true
check ([a, b, c] : vec A)
check ([a, b, c] : lst A)
|
8a0261fd6b40435c67557d34b74a17e2c49d803f | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/bad_index.lean | 9d46300ef5a9844861bcbb6e13e12e411fec6bcd | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 167 | lean | inductive foo1 : Type -> Type
| mk : foo1 (list (foo1 punit)) -> foo1 (list (foo1 punit))
inductive foo2 : Type -> Type
| mk : foo2 (foo2 punit) -> foo2 (foo2 punit)
|
923fb90d57c3bba8482c17fde5c6c8ca5deac709 | 88fb7558b0636ec6b181f2a548ac11ad3919f8a5 | /tests/lean/run/kdepends_on.lean | 1aa2d90e90394e976cdbb259bc3494469cb613c3 | [
"Apache-2.0"
] | permissive | moritayasuaki/lean | 9f666c323cb6fa1f31ac597d777914aed41e3b7a | ae96ebf6ee953088c235ff7ae0e8c95066ba8001 | refs/heads/master | 1,611,135,440,814 | 1,493,852,869,000 | 1,493,852,869,000 | 90,269,903 | 0 | 0 | null | 1,493,906,291,000 | 1,493,906,291,000 | null | UTF-8 | Lean | false | false | 297 | lean | open tactic
example (f : nat → nat) (a : nat) : f (f (a + 0)) = a → true :=
by do
t ← target,
s ← to_expr `(f a),
b ← kdepends_on t s, guard ¬b,
b ← kdepends_on t s semireducible, guard b,
s ← to_expr `(f (a + 0)),
b ← kdepends_on t s, guard b,
intros, constructor
|
ac2c3aa7eb402fef813371267d84cc73026129a7 | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/data/zmod/basic.lean | a8c75fe52705f4d6d54b5d8fed67103b6ac4e962 | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 32,391 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import algebra.char_p.basic
import ring_theory.ideal.operations
import tactic.fin_cases
/-!
# Integers mod `n`
Definition of the integers mod n, and the field structure on the integers mod p.
## Definitions
* `zmod n`, which is for integers modulo a nat `n : ℕ`
* `val a` is defined as a natural number:
- for `a : zmod 0` it is the absolute value of `a`
- for `a : zmod n` with `0 < n` it is the least natural number in the equivalence class
* `val_min_abs` returns the integer closest to zero in the equivalence class.
* A coercion `cast` is defined from `zmod n` into any ring.
This is a ring hom if the ring has characteristic dividing `n`
-/
namespace fin
/-!
## Ring structure on `fin n`
We define a commutative ring structure on `fin n`, but we do not register it as instance.
Afterwords, when we define `zmod n` in terms of `fin n`, we use these definitions
to register the ring structure on `zmod n` as type class instance.
-/
open nat.modeq int
/-- Multiplicative commutative semigroup structure on `fin (n+1)`. -/
instance (n : ℕ) : comm_semigroup (fin (n+1)) :=
{ mul_assoc := λ ⟨a, ha⟩ ⟨b, hb⟩ ⟨c, hc⟩, fin.eq_of_veq
(calc ((a * b) % (n+1) * c) ≡ a * b * c [MOD (n+1)] : (nat.mod_modeq _ _).mul_right _
... ≡ a * (b * c) [MOD (n+1)] : by rw mul_assoc
... ≡ a * (b * c % (n+1)) [MOD (n+1)] : (nat.mod_modeq _ _).symm.mul_left _),
mul_comm := λ ⟨a, _⟩ ⟨b, _⟩,
fin.eq_of_veq (show (a * b) % (n+1) = (b * a) % (n+1), by rw mul_comm),
..fin.has_mul }
private lemma left_distrib_aux (n : ℕ) : ∀ a b c : fin (n+1), a * (b + c) = a * b + a * c :=
λ ⟨a, ha⟩ ⟨b, hb⟩ ⟨c, hc⟩, fin.eq_of_veq
(calc a * ((b + c) % (n+1)) ≡ a * (b + c) [MOD (n+1)] : (nat.mod_modeq _ _).mul_left _
... ≡ a * b + a * c [MOD (n+1)] : by rw mul_add
... ≡ (a * b) % (n+1) + (a * c) % (n+1) [MOD (n+1)] :
(nat.mod_modeq _ _).symm.add (nat.mod_modeq _ _).symm)
/-- Commutative ring structure on `fin (n+1)`. -/
instance (n : ℕ) : comm_ring (fin (n+1)) :=
{ one_mul := fin.one_mul,
mul_one := fin.mul_one,
left_distrib := left_distrib_aux n,
right_distrib := λ a b c, by rw [mul_comm, left_distrib_aux, mul_comm _ b, mul_comm]; refl,
..fin.has_one,
..fin.add_comm_group n,
..fin.comm_semigroup n }
end fin
/-- The integers modulo `n : ℕ`. -/
def zmod : ℕ → Type
| 0 := ℤ
| (n+1) := fin (n+1)
namespace zmod
instance fintype : Π (n : ℕ) [fact (0 < n)], fintype (zmod n)
| 0 h := false.elim $ nat.not_lt_zero 0 h.1
| (n+1) _ := fin.fintype (n+1)
@[simp] lemma card (n : ℕ) [fact (0 < n)] : fintype.card (zmod n) = n :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out _) },
{ exact fintype.card_fin (n+1) }
end
instance decidable_eq : Π (n : ℕ), decidable_eq (zmod n)
| 0 := int.decidable_eq
| (n+1) := fin.decidable_eq _
instance has_repr : Π (n : ℕ), has_repr (zmod n)
| 0 := int.has_repr
| (n+1) := fin.has_repr _
instance comm_ring : Π (n : ℕ), comm_ring (zmod n)
| 0 := int.comm_ring
| (n+1) := fin.comm_ring n
instance inhabited (n : ℕ) : inhabited (zmod n) := ⟨0⟩
/-- `val a` is a natural number defined as:
- for `a : zmod 0` it is the absolute value of `a`
- for `a : zmod n` with `0 < n` it is the least natural number in the equivalence class
See `zmod.val_min_abs` for a variant that takes values in the integers.
-/
def val : Π {n : ℕ}, zmod n → ℕ
| 0 := int.nat_abs
| (n+1) := (coe : fin (n + 1) → ℕ)
lemma val_lt {n : ℕ} [fact (0 < n)] (a : zmod n) : a.val < n :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out _) },
exact fin.is_lt a
end
lemma val_le {n : ℕ} [fact (0 < n)] (a : zmod n) : a.val ≤ n :=
a.val_lt.le
@[simp] lemma val_zero : ∀ {n}, (0 : zmod n).val = 0
| 0 := rfl
| (n+1) := rfl
@[simp] lemma val_one' : (1 : zmod 0).val = 1 := rfl
@[simp] lemma val_neg' {n : zmod 0} : (-n).val = n.val := by simp [val]
@[simp] lemma val_mul' {m n : zmod 0} : (m * n).val = m.val * n.val :=
by simp [val, int.nat_abs_mul]
lemma val_nat_cast {n : ℕ} (a : ℕ) : (a : zmod n).val = a % n :=
begin
casesI n,
{ rw [nat.mod_zero, int.nat_cast_eq_coe_nat],
exact int.nat_abs_of_nat a, },
rw ← fin.of_nat_eq_coe,
refl
end
instance (n : ℕ) : char_p (zmod n) n :=
{ cast_eq_zero_iff :=
begin
intro k,
cases n,
{ simp only [int.nat_cast_eq_coe_nat, zero_dvd_iff, int.coe_nat_eq_zero], },
rw [fin.eq_iff_veq],
show (k : zmod (n+1)).val = (0 : zmod (n+1)).val ↔ _,
rw [val_nat_cast, val_zero, nat.dvd_iff_mod_eq_zero],
end }
@[simp] lemma nat_cast_self (n : ℕ) : (n : zmod n) = 0 :=
char_p.cast_eq_zero (zmod n) n
@[simp] lemma nat_cast_self' (n : ℕ) : (n + 1 : zmod (n + 1)) = 0 :=
by rw [← nat.cast_add_one, nat_cast_self (n + 1)]
section universal_property
variables {n : ℕ} {R : Type*}
section
variables [has_zero R] [has_one R] [has_add R] [has_neg R]
/-- Cast an integer modulo `n` to another semiring.
This function is a morphism if the characteristic of `R` divides `n`.
See `zmod.cast_hom` for a bundled version. -/
def cast : Π {n : ℕ}, zmod n → R
| 0 := int.cast
| (n+1) := λ i, i.val
-- see Note [coercion into rings]
@[priority 900] instance (n : ℕ) : has_coe_t (zmod n) R := ⟨cast⟩
@[simp] lemma cast_zero : ((0 : zmod n) : R) = 0 :=
by { cases n; refl }
variables {S : Type*} [has_zero S] [has_one S] [has_add S] [has_neg S]
@[simp] lemma _root_.prod.fst_zmod_cast (a : zmod n) : (a : R × S).fst = a :=
by cases n; simp
@[simp] lemma _root_.prod.snd_zmod_cast (a : zmod n) : (a : R × S).snd = a :=
by cases n; simp
end
/-- So-named because the coercion is `nat.cast` into `zmod`. For `nat.cast` into an arbitrary ring,
see `zmod.nat_cast_val`. -/
lemma nat_cast_zmod_val {n : ℕ} [fact (0 < n)] (a : zmod n) : (a.val : zmod n) = a :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out _) },
{ apply fin.coe_coe_eq_self }
end
lemma nat_cast_right_inverse [fact (0 < n)] : function.right_inverse val (coe : ℕ → zmod n) :=
nat_cast_zmod_val
lemma nat_cast_zmod_surjective [fact (0 < n)] : function.surjective (coe : ℕ → zmod n) :=
nat_cast_right_inverse.surjective
/-- So-named because the outer coercion is `int.cast` into `zmod`. For `int.cast` into an arbitrary
ring, see `zmod.int_cast_cast`. -/
lemma int_cast_zmod_cast (a : zmod n) : ((a : ℤ) : zmod n) = a :=
begin
cases n,
{ rw [int.cast_id a, int.cast_id a], },
{ rw [coe_coe, int.nat_cast_eq_coe_nat, int.cast_coe_nat, fin.coe_coe_eq_self] }
end
lemma int_cast_right_inverse : function.right_inverse (coe : zmod n → ℤ) (coe : ℤ → zmod n) :=
int_cast_zmod_cast
lemma int_cast_surjective : function.surjective (coe : ℤ → zmod n) :=
int_cast_right_inverse.surjective
@[norm_cast]
lemma cast_id : ∀ n (i : zmod n), ↑i = i
| 0 i := int.cast_id i
| (n+1) i := nat_cast_zmod_val i
@[simp]
lemma cast_id' : (coe : zmod n → zmod n) = id := funext (cast_id n)
variables (R) [ring R]
/-- The coercions are respectively `nat.cast` and `zmod.cast`. -/
@[simp] lemma nat_cast_comp_val [fact (0 < n)] :
(coe : ℕ → R) ∘ (val : zmod n → ℕ) = coe :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out _) },
refl
end
/-- The coercions are respectively `int.cast`, `zmod.cast`, and `zmod.cast`. -/
@[simp] lemma int_cast_comp_cast : (coe : ℤ → R) ∘ (coe : zmod n → ℤ) = coe :=
begin
cases n,
{ exact congr_arg ((∘) int.cast) zmod.cast_id', },
{ ext, simp }
end
variables {R}
@[simp] lemma nat_cast_val [fact (0 < n)] (i : zmod n) : (i.val : R) = i :=
congr_fun (nat_cast_comp_val R) i
@[simp] lemma int_cast_cast (i : zmod n) : ((i : ℤ) : R) = i :=
congr_fun (int_cast_comp_cast R) i
lemma coe_add_eq_ite {n : ℕ} (a b : zmod n) :
(↑(a + b) : ℤ) = if (n : ℤ) ≤ a + b then a + b - n else a + b :=
begin
cases n,
{ simp },
simp only [coe_coe, fin.coe_add_eq_ite, int.nat_cast_eq_coe_nat,
← int.coe_nat_add, ← int.coe_nat_succ, int.coe_nat_le],
split_ifs with h,
{ exact int.coe_nat_sub h },
{ refl }
end
section char_dvd
/-! If the characteristic of `R` divides `n`, then `cast` is a homomorphism. -/
variables {n} {m : ℕ} [char_p R m]
@[simp] lemma cast_one (h : m ∣ n) : ((1 : zmod n) : R) = 1 :=
begin
casesI n,
{ exact int.cast_one },
show ((1 % (n+1) : ℕ) : R) = 1,
cases n, { rw [nat.dvd_one] at h, substI m, apply subsingleton.elim },
rw nat.mod_eq_of_lt,
{ exact nat.cast_one },
exact nat.lt_of_sub_eq_succ rfl
end
lemma cast_add (h : m ∣ n) (a b : zmod n) : ((a + b : zmod n) : R) = a + b :=
begin
casesI n,
{ apply int.cast_add },
simp only [coe_coe],
symmetry,
erw [fin.coe_add, ← nat.cast_add, ← sub_eq_zero, ← nat.cast_sub (nat.mod_le _ _),
@char_p.cast_eq_zero_iff R _ _ m],
exact dvd_trans h (nat.dvd_sub_mod _),
end
lemma cast_mul (h : m ∣ n) (a b : zmod n) : ((a * b : zmod n) : R) = a * b :=
begin
casesI n,
{ apply int.cast_mul },
simp only [coe_coe],
symmetry,
erw [fin.coe_mul, ← nat.cast_mul, ← sub_eq_zero, ← nat.cast_sub (nat.mod_le _ _),
@char_p.cast_eq_zero_iff R _ _ m],
exact dvd_trans h (nat.dvd_sub_mod _),
end
/-- The canonical ring homomorphism from `zmod n` to a ring of characteristic `n`.
See also `zmod.lift` (in `data.zmod.quotient`) for a generalized version working in `add_group`s.
-/
def cast_hom (h : m ∣ n) (R : Type*) [ring R] [char_p R m] : zmod n →+* R :=
{ to_fun := coe,
map_zero' := cast_zero,
map_one' := cast_one h,
map_add' := cast_add h,
map_mul' := cast_mul h }
@[simp] lemma cast_hom_apply {h : m ∣ n} (i : zmod n) : cast_hom h R i = i := rfl
@[simp, norm_cast]
lemma cast_sub (h : m ∣ n) (a b : zmod n) : ((a - b : zmod n) : R) = a - b :=
(cast_hom h R).map_sub a b
@[simp, norm_cast]
lemma cast_neg (h : m ∣ n) (a : zmod n) : ((-a : zmod n) : R) = -a :=
(cast_hom h R).map_neg a
@[simp, norm_cast]
lemma cast_pow (h : m ∣ n) (a : zmod n) (k : ℕ) : ((a ^ k : zmod n) : R) = a ^ k :=
(cast_hom h R).map_pow a k
@[simp, norm_cast]
lemma cast_nat_cast (h : m ∣ n) (k : ℕ) : ((k : zmod n) : R) = k :=
(cast_hom h R).map_nat_cast k
@[simp, norm_cast]
lemma cast_int_cast (h : m ∣ n) (k : ℤ) : ((k : zmod n) : R) = k :=
(cast_hom h R).map_int_cast k
end char_dvd
section char_eq
/-! Some specialised simp lemmas which apply when `R` has characteristic `n`. -/
variable [char_p R n]
@[simp] lemma cast_one' : ((1 : zmod n) : R) = 1 :=
cast_one (dvd_refl _)
@[simp] lemma cast_add' (a b : zmod n) : ((a + b : zmod n) : R) = a + b :=
cast_add (dvd_refl _) a b
@[simp] lemma cast_mul' (a b : zmod n) : ((a * b : zmod n) : R) = a * b :=
cast_mul (dvd_refl _) a b
@[simp] lemma cast_sub' (a b : zmod n) : ((a - b : zmod n) : R) = a - b :=
cast_sub (dvd_refl _) a b
@[simp] lemma cast_pow' (a : zmod n) (k : ℕ) : ((a ^ k : zmod n) : R) = a ^ k :=
cast_pow (dvd_refl _) a k
@[simp, norm_cast]
lemma cast_nat_cast' (k : ℕ) : ((k : zmod n) : R) = k :=
cast_nat_cast (dvd_refl _) k
@[simp, norm_cast]
lemma cast_int_cast' (k : ℤ) : ((k : zmod n) : R) = k :=
cast_int_cast (dvd_refl _) k
instance (R : Type*) [comm_ring R] [char_p R n] : algebra (zmod n) R :=
(zmod.cast_hom (dvd_refl n) R).to_algebra
variables (R)
lemma cast_hom_injective : function.injective (zmod.cast_hom (dvd_refl n) R) :=
begin
rw ring_hom.injective_iff,
intro x,
obtain ⟨k, rfl⟩ := zmod.int_cast_surjective x,
rw [ring_hom.map_int_cast, char_p.int_cast_eq_zero_iff R n,
char_p.int_cast_eq_zero_iff (zmod n) n],
exact id
end
lemma cast_hom_bijective [fintype R] (h : fintype.card R = n) :
function.bijective (zmod.cast_hom (dvd_refl n) R) :=
begin
haveI : fact (0 < n) :=
⟨begin
rw [pos_iff_ne_zero],
intro hn,
rw hn at h,
exact (fintype.card_eq_zero_iff.mp h).elim' 0
end⟩,
rw [fintype.bijective_iff_injective_and_card, zmod.card, h, eq_self_iff_true, and_true],
apply zmod.cast_hom_injective
end
/-- The unique ring isomorphism between `zmod n` and a ring `R`
of characteristic `n` and cardinality `n`. -/
noncomputable def ring_equiv [fintype R] (h : fintype.card R = n) : zmod n ≃+* R :=
ring_equiv.of_bijective _ (zmod.cast_hom_bijective R h)
end char_eq
end universal_property
lemma int_coe_eq_int_coe_iff (a b : ℤ) (c : ℕ) :
(a : zmod c) = (b : zmod c) ↔ a ≡ b [ZMOD c] :=
char_p.int_coe_eq_int_coe_iff (zmod c) c a b
lemma int_coe_eq_int_coe_iff' (a b : ℤ) (c : ℕ) :
(a : zmod c) = (b : zmod c) ↔ a % c = b % c :=
zmod.int_coe_eq_int_coe_iff a b c
lemma nat_coe_eq_nat_coe_iff (a b c : ℕ) :
(a : zmod c) = (b : zmod c) ↔ a ≡ b [MOD c] :=
begin
convert zmod.int_coe_eq_int_coe_iff a b c,
simp [nat.modeq_iff_dvd, int.modeq_iff_dvd],
end
lemma int_coe_zmod_eq_zero_iff_dvd (a : ℤ) (b : ℕ) : (a : zmod b) = 0 ↔ (b : ℤ) ∣ a :=
begin
change (a : zmod b) = ((0 : ℤ) : zmod b) ↔ (b : ℤ) ∣ a,
rw [zmod.int_coe_eq_int_coe_iff, int.modeq_zero_iff_dvd],
end
lemma nat_coe_zmod_eq_zero_iff_dvd (a b : ℕ) : (a : zmod b) = 0 ↔ b ∣ a :=
begin
change (a : zmod b) = ((0 : ℕ) : zmod b) ↔ b ∣ a,
rw [zmod.nat_coe_eq_nat_coe_iff, nat.modeq_zero_iff_dvd],
end
@[push_cast, simp]
lemma int_cast_mod (a : ℤ) (b : ℕ) : ((a % b : ℤ) : zmod b) = (a : zmod b) :=
begin
rw zmod.int_coe_eq_int_coe_iff,
apply int.mod_modeq,
end
lemma ker_int_cast_add_hom (n : ℕ) :
(int.cast_add_hom (zmod n)).ker = add_subgroup.gmultiples n :=
by { ext, rw [int.mem_gmultiples_iff, add_monoid_hom.mem_ker,
int.coe_cast_add_hom, int_coe_zmod_eq_zero_iff_dvd] }
lemma ker_int_cast_ring_hom (n : ℕ) :
(int.cast_ring_hom (zmod n)).ker = ideal.span ({n} : set ℤ) :=
by { ext, rw [ideal.mem_span_singleton, ring_hom.mem_ker,
int.coe_cast_ring_hom, int_coe_zmod_eq_zero_iff_dvd] }
local attribute [semireducible] int.nonneg
@[simp] lemma nat_cast_to_nat (p : ℕ) :
∀ {z : ℤ} (h : 0 ≤ z), (z.to_nat : zmod p) = z
| (n : ℕ) h := by simp only [int.cast_coe_nat, int.to_nat_coe_nat]
| -[1+n] h := false.elim h
lemma val_injective (n : ℕ) [fact (0 < n)] :
function.injective (zmod.val : zmod n → ℕ) :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out _) },
assume a b h,
ext,
exact h
end
lemma val_one_eq_one_mod (n : ℕ) : (1 : zmod n).val = 1 % n :=
by rw [← nat.cast_one, val_nat_cast]
lemma val_one (n : ℕ) [fact (1 < n)] : (1 : zmod n).val = 1 :=
by { rw val_one_eq_one_mod, exact nat.mod_eq_of_lt (fact.out _) }
lemma val_add {n : ℕ} [fact (0 < n)] (a b : zmod n) : (a + b).val = (a.val + b.val) % n :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out _) },
{ apply fin.val_add }
end
lemma val_mul {n : ℕ} (a b : zmod n) : (a * b).val = (a.val * b.val) % n :=
begin
cases n,
{ rw nat.mod_zero, apply int.nat_abs_mul },
{ apply fin.val_mul }
end
instance nontrivial (n : ℕ) [fact (1 < n)] : nontrivial (zmod n) :=
⟨⟨0, 1, assume h, zero_ne_one $
calc 0 = (0 : zmod n).val : by rw val_zero
... = (1 : zmod n).val : congr_arg zmod.val h
... = 1 : val_one n ⟩⟩
/-- The inversion on `zmod n`.
It is setup in such a way that `a * a⁻¹` is equal to `gcd a.val n`.
In particular, if `a` is coprime to `n`, and hence a unit, `a * a⁻¹ = 1`. -/
def inv : Π (n : ℕ), zmod n → zmod n
| 0 i := int.sign i
| (n+1) i := nat.gcd_a i.val (n+1)
instance (n : ℕ) : has_inv (zmod n) := ⟨inv n⟩
lemma inv_zero : ∀ (n : ℕ), (0 : zmod n)⁻¹ = 0
| 0 := int.sign_zero
| (n+1) := show (nat.gcd_a _ (n+1) : zmod (n+1)) = 0,
by { rw val_zero, unfold nat.gcd_a nat.xgcd nat.xgcd_aux, refl }
lemma mul_inv_eq_gcd {n : ℕ} (a : zmod n) :
a * a⁻¹ = nat.gcd a.val n :=
begin
cases n,
{ calc a * a⁻¹ = a * int.sign a : rfl
... = a.nat_abs : by rw [int.mul_sign, int.nat_cast_eq_coe_nat]
... = a.val.gcd 0 : by rw nat.gcd_zero_right; refl },
{ set k := n.succ,
calc a * a⁻¹ = a * a⁻¹ + k * nat.gcd_b (val a) k : by rw [nat_cast_self, zero_mul, add_zero]
... = ↑(↑a.val * nat.gcd_a (val a) k + k * nat.gcd_b (val a) k) :
by { push_cast, rw nat_cast_zmod_val, refl }
... = nat.gcd a.val k : (congr_arg coe (nat.gcd_eq_gcd_ab a.val k)).symm, }
end
@[simp] lemma nat_cast_mod (n : ℕ) (a : ℕ) : ((a % n : ℕ) : zmod n) = a :=
by conv {to_rhs, rw ← nat.mod_add_div a n}; simp
lemma eq_iff_modeq_nat (n : ℕ) {a b : ℕ} : (a : zmod n) = b ↔ a ≡ b [MOD n] :=
begin
cases n,
{ simp only [nat.modeq, int.coe_nat_inj', nat.mod_zero, int.nat_cast_eq_coe_nat], },
{ rw [fin.ext_iff, nat.modeq, ← val_nat_cast, ← val_nat_cast], exact iff.rfl, }
end
lemma coe_mul_inv_eq_one {n : ℕ} (x : ℕ) (h : nat.coprime x n) :
(x * x⁻¹ : zmod n) = 1 :=
begin
rw [nat.coprime, nat.gcd_comm, nat.gcd_rec] at h,
rw [mul_inv_eq_gcd, val_nat_cast, h, nat.cast_one],
end
/-- `unit_of_coprime` makes an element of `units (zmod n)` given
a natural number `x` and a proof that `x` is coprime to `n` -/
def unit_of_coprime {n : ℕ} (x : ℕ) (h : nat.coprime x n) : units (zmod n) :=
⟨x, x⁻¹, coe_mul_inv_eq_one x h, by rw [mul_comm, coe_mul_inv_eq_one x h]⟩
@[simp] lemma coe_unit_of_coprime {n : ℕ} (x : ℕ) (h : nat.coprime x n) :
(unit_of_coprime x h : zmod n) = x := rfl
lemma val_coe_unit_coprime {n : ℕ} (u : units (zmod n)) :
nat.coprime (u : zmod n).val n :=
begin
cases n,
{ rcases int.units_eq_one_or u with rfl|rfl; simp },
apply nat.coprime_of_mul_modeq_one ((u⁻¹ : units (zmod (n+1))) : zmod (n+1)).val,
have := units.ext_iff.1 (mul_right_inv u),
rw [units.coe_one] at this,
rw [← eq_iff_modeq_nat, nat.cast_one, ← this], clear this,
rw [← nat_cast_zmod_val ((u * u⁻¹ : units (zmod (n+1))) : zmod (n+1))],
rw [units.coe_mul, val_mul, nat_cast_mod],
end
@[simp] lemma inv_coe_unit {n : ℕ} (u : units (zmod n)) :
(u : zmod n)⁻¹ = (u⁻¹ : units (zmod n)) :=
begin
have := congr_arg (coe : ℕ → zmod n) (val_coe_unit_coprime u),
rw [← mul_inv_eq_gcd, nat.cast_one] at this,
let u' : units (zmod n) := ⟨u, (u : zmod n)⁻¹, this, by rwa mul_comm⟩,
have h : u = u', { apply units.ext, refl },
rw h,
refl
end
lemma mul_inv_of_unit {n : ℕ} (a : zmod n) (h : is_unit a) :
a * a⁻¹ = 1 :=
begin
rcases h with ⟨u, rfl⟩,
rw [inv_coe_unit, u.mul_inv],
end
lemma inv_mul_of_unit {n : ℕ} (a : zmod n) (h : is_unit a) :
a⁻¹ * a = 1 :=
by rw [mul_comm, mul_inv_of_unit a h]
/-- Equivalence between the units of `zmod n` and
the subtype of terms `x : zmod n` for which `x.val` is comprime to `n` -/
def units_equiv_coprime {n : ℕ} [fact (0 < n)] :
units (zmod n) ≃ {x : zmod n // nat.coprime x.val n} :=
{ to_fun := λ x, ⟨x, val_coe_unit_coprime x⟩,
inv_fun := λ x, unit_of_coprime x.1.val x.2,
left_inv := λ ⟨_, _, _, _⟩, units.ext (nat_cast_zmod_val _),
right_inv := λ ⟨_, _⟩, by simp }
/-- The **Chinese remainder theorem**. For a pair of coprime natural numbers, `m` and `n`,
the rings `zmod (m * n)` and `zmod m × zmod n` are isomorphic.
See `ideal.quotient_inf_ring_equiv_pi_quotient` for the Chinese remainder theorem for ideals in any
ring.
-/
def chinese_remainder {m n : ℕ} (h : m.coprime n) :
zmod (m * n) ≃+* zmod m × zmod n :=
let to_fun : zmod (m * n) → zmod m × zmod n :=
zmod.cast_hom (show m.lcm n ∣ m * n, by simp [nat.lcm_dvd_iff]) (zmod m × zmod n) in
let inv_fun : zmod m × zmod n → zmod (m * n) :=
λ x, if m * n = 0
then if m = 1
then ring_hom.snd _ _ x
else ring_hom.fst _ _ x
else nat.chinese_remainder h x.1.val x.2.val in
have inv : function.left_inverse inv_fun to_fun ∧ function.right_inverse inv_fun to_fun :=
if hmn0 : m * n = 0
then begin
rcases h.eq_of_mul_eq_zero hmn0 with ⟨rfl, rfl⟩ | ⟨rfl, rfl⟩;
simp [inv_fun, to_fun, function.left_inverse, function.right_inverse,
ring_hom.eq_int_cast, prod.ext_iff]
end
else
begin
haveI : fact (0 < (m * n)) := ⟨nat.pos_of_ne_zero hmn0⟩,
haveI : fact (0 < m) := ⟨nat.pos_of_ne_zero $ left_ne_zero_of_mul hmn0⟩,
haveI : fact (0 < n) := ⟨nat.pos_of_ne_zero $ right_ne_zero_of_mul hmn0⟩,
have left_inv : function.left_inverse inv_fun to_fun,
{ intro x,
dsimp only [dvd_mul_left, dvd_mul_right, zmod.cast_hom_apply, coe_coe, inv_fun, to_fun],
conv_rhs { rw ← zmod.nat_cast_zmod_val x },
rw [if_neg hmn0, zmod.eq_iff_modeq_nat, ← nat.modeq_and_modeq_iff_modeq_mul h,
prod.fst_zmod_cast, prod.snd_zmod_cast],
refine
⟨(nat.chinese_remainder h (x : zmod m).val (x : zmod n).val).2.left.trans _,
(nat.chinese_remainder h (x : zmod m).val (x : zmod n).val).2.right.trans _⟩,
{ rw [← zmod.eq_iff_modeq_nat, zmod.nat_cast_zmod_val, zmod.nat_cast_val] },
{ rw [← zmod.eq_iff_modeq_nat, zmod.nat_cast_zmod_val, zmod.nat_cast_val] } },
exact ⟨left_inv, fintype.right_inverse_of_left_inverse_of_card_le left_inv (by simp)⟩,
end,
{ to_fun := to_fun,
inv_fun := inv_fun,
map_mul' := ring_hom.map_mul _,
map_add' := ring_hom.map_add _,
left_inv := inv.1,
right_inv := inv.2 }
instance subsingleton_units : subsingleton (units (zmod 2)) :=
⟨λ x y, begin
ext1,
cases x with x xi hx1 hx2,
cases y with y yi hy1 hy2,
revert hx1 hx2 hy1 hy2,
fin_cases x; fin_cases y; simp
end⟩
lemma le_div_two_iff_lt_neg (n : ℕ) [hn : fact ((n : ℕ) % 2 = 1)]
{x : zmod n} (hx0 : x ≠ 0) : x.val ≤ (n / 2 : ℕ) ↔ (n / 2 : ℕ) < (-x).val :=
begin
haveI npos : fact (0 < n) := ⟨by
{ apply (nat.eq_zero_or_pos n).resolve_left,
unfreezingI { rintro rfl },
simpa [fact_iff] using hn, }⟩,
have hn2 : (n : ℕ) / 2 < n := nat.div_lt_of_lt_mul
((lt_mul_iff_one_lt_left npos.1).2 dec_trivial),
have hn2' : (n : ℕ) - n / 2 = n / 2 + 1,
{ conv {to_lhs, congr, rw [← nat.succ_sub_one n, nat.succ_sub npos.1]},
rw [← nat.two_mul_odd_div_two hn.1, two_mul, ← nat.succ_add, nat.add_sub_cancel], },
have hxn : (n : ℕ) - x.val < n,
{ rw [nat.sub_lt_iff x.val_le le_rfl, nat.sub_self],
rw ← zmod.nat_cast_zmod_val x at hx0,
exact nat.pos_of_ne_zero (λ h, by simpa [h] using hx0) },
by conv {to_rhs, rw [← nat.succ_le_iff, nat.succ_eq_add_one, ← hn2', ← zero_add (- x),
← zmod.nat_cast_self, ← sub_eq_add_neg, ← zmod.nat_cast_zmod_val x,
← nat.cast_sub x.val_le,
zmod.val_nat_cast, nat.mod_eq_of_lt hxn, nat.sub_le_sub_left_iff x.val_le] }
end
lemma ne_neg_self (n : ℕ) [hn : fact ((n : ℕ) % 2 = 1)] {a : zmod n} (ha : a ≠ 0) : a ≠ -a :=
λ h, have a.val ≤ n / 2 ↔ (n : ℕ) / 2 < (-a).val := le_div_two_iff_lt_neg n ha,
by rwa [← h, ← not_lt, not_iff_self] at this
lemma neg_one_ne_one {n : ℕ} [fact (2 < n)] :
(-1 : zmod n) ≠ 1 :=
char_p.neg_one_ne_one (zmod n) n
@[simp] lemma neg_eq_self_mod_two (a : zmod 2) : -a = a :=
by fin_cases a; ext; simp [fin.coe_neg, int.nat_mod]; norm_num
@[simp] lemma nat_abs_mod_two (a : ℤ) : (a.nat_abs : zmod 2) = a :=
begin
cases a,
{ simp only [int.nat_abs_of_nat, int.cast_coe_nat, int.of_nat_eq_coe] },
{ simp only [neg_eq_self_mod_two, nat.cast_succ, int.nat_abs, int.cast_neg_succ_of_nat] }
end
@[simp] lemma val_eq_zero : ∀ {n : ℕ} (a : zmod n), a.val = 0 ↔ a = 0
| 0 a := int.nat_abs_eq_zero
| (n+1) a := by { rw fin.ext_iff, exact iff.rfl }
lemma val_cast_of_lt {n : ℕ} {a : ℕ} (h : a < n) : (a : zmod n).val = a :=
by rw [val_nat_cast, nat.mod_eq_of_lt h]
lemma neg_val' {n : ℕ} [fact (0 < n)] (a : zmod n) : (-a).val = (n - a.val) % n :=
calc (-a).val = val (-a) % n : by rw nat.mod_eq_of_lt ((-a).val_lt)
... = (n - val a) % n : nat.modeq.add_right_cancel' _ (by rw [nat.modeq, ←val_add,
add_left_neg, nat.sub_add_cancel a.val_le, nat.mod_self, val_zero])
lemma neg_val {n : ℕ} [fact (0 < n)] (a : zmod n) : (-a).val = if a = 0 then 0 else n - a.val :=
begin
rw neg_val',
by_cases h : a = 0, { rw [if_pos h, h, val_zero, nat.sub_zero, nat.mod_self] },
rw if_neg h,
apply nat.mod_eq_of_lt,
apply nat.sub_lt (fact.out (0 < n)),
contrapose! h,
rwa [nat.le_zero_iff, val_eq_zero] at h,
end
/-- `val_min_abs x` returns the integer in the same equivalence class as `x` that is closest to `0`,
The result will be in the interval `(-n/2, n/2]`. -/
def val_min_abs : Π {n : ℕ}, zmod n → ℤ
| 0 x := x
| n@(_+1) x := if x.val ≤ n / 2 then x.val else (x.val : ℤ) - n
@[simp] lemma val_min_abs_def_zero (x : zmod 0) : val_min_abs x = x := rfl
lemma val_min_abs_def_pos {n : ℕ} [fact (0 < n)] (x : zmod n) :
val_min_abs x = if x.val ≤ n / 2 then x.val else x.val - n :=
begin
casesI n,
{ exfalso, exact nat.not_lt_zero 0 (fact.out (0 < 0)) },
{ refl }
end
@[simp] lemma coe_val_min_abs : ∀ {n : ℕ} (x : zmod n), (x.val_min_abs : zmod n) = x
| 0 x := int.cast_id x
| k@(n+1) x :=
begin
rw val_min_abs_def_pos,
split_ifs,
{ rw [int.cast_coe_nat, nat_cast_zmod_val] },
{ rw [int.cast_sub, int.cast_coe_nat, nat_cast_zmod_val, int.cast_coe_nat, nat_cast_self,
sub_zero] }
end
lemma nat_abs_val_min_abs_le {n : ℕ} [fact (0 < n)] (x : zmod n) : x.val_min_abs.nat_abs ≤ n / 2 :=
begin
rw zmod.val_min_abs_def_pos,
split_ifs with h, { exact h },
have : (x.val - n : ℤ) ≤ 0,
{ rw [sub_nonpos, int.coe_nat_le], exact x.val_le, },
rw [← int.coe_nat_le, int.of_nat_nat_abs_of_nonpos this, neg_sub],
conv_lhs { congr, rw [← nat.mod_add_div n 2, int.coe_nat_add, int.coe_nat_mul,
int.coe_nat_bit0, int.coe_nat_one] },
suffices : ((n % 2 : ℕ) + (n / 2) : ℤ) ≤ (val x),
{ rw ← sub_nonneg at this ⊢, apply le_trans this (le_of_eq _), ring_nf, ring },
norm_cast,
calc (n : ℕ) % 2 + n / 2 ≤ 1 + n / 2 :
nat.add_le_add_right (nat.le_of_lt_succ (nat.mod_lt _ dec_trivial)) _
... ≤ x.val :
by { rw add_comm, exact nat.succ_le_of_lt (lt_of_not_ge h) }
end
@[simp] lemma val_min_abs_zero : ∀ n, (0 : zmod n).val_min_abs = 0
| 0 := by simp only [val_min_abs_def_zero]
| (n+1) := by simp only [val_min_abs_def_pos, if_true, int.coe_nat_zero, zero_le, val_zero]
@[simp] lemma val_min_abs_eq_zero {n : ℕ} (x : zmod n) :
x.val_min_abs = 0 ↔ x = 0 :=
begin
cases n, { simp },
split,
{ simp only [val_min_abs_def_pos, int.coe_nat_succ],
split_ifs with h h; assume h0,
{ apply val_injective, rwa [int.coe_nat_eq_zero] at h0, },
{ apply absurd h0, rw sub_eq_zero, apply ne_of_lt, exact_mod_cast x.val_lt } },
{ rintro rfl, rw val_min_abs_zero }
end
lemma nat_cast_nat_abs_val_min_abs {n : ℕ} [fact (0 < n)] (a : zmod n) :
(a.val_min_abs.nat_abs : zmod n) = if a.val ≤ (n : ℕ) / 2 then a else -a :=
begin
have : (a.val : ℤ) - n ≤ 0,
by { erw [sub_nonpos, int.coe_nat_le], exact a.val_le, },
rw [zmod.val_min_abs_def_pos],
split_ifs,
{ rw [int.nat_abs_of_nat, nat_cast_zmod_val] },
{ rw [← int.cast_coe_nat, int.of_nat_nat_abs_of_nonpos this, int.cast_neg, int.cast_sub],
rw [int.cast_coe_nat, int.cast_coe_nat, nat_cast_self, sub_zero, nat_cast_zmod_val], }
end
@[simp] lemma nat_abs_val_min_abs_neg {n : ℕ} (a : zmod n) :
(-a).val_min_abs.nat_abs = a.val_min_abs.nat_abs :=
begin
cases n, { simp only [int.nat_abs_neg, val_min_abs_def_zero], },
by_cases ha0 : a = 0, { rw [ha0, neg_zero] },
by_cases haa : -a = a, { rw [haa] },
suffices hpa : (n+1 : ℕ) - a.val ≤ (n+1) / 2 ↔ (n+1 : ℕ) / 2 < a.val,
{ rw [val_min_abs_def_pos, val_min_abs_def_pos],
rw ← not_le at hpa,
simp only [if_neg ha0, neg_val, hpa, int.coe_nat_sub a.val_le],
split_ifs,
all_goals { rw [← int.nat_abs_neg], congr' 1, ring } },
suffices : (((n+1 : ℕ) % 2) + 2 * ((n + 1) / 2)) - a.val ≤ (n+1) / 2 ↔ (n+1 : ℕ) / 2 < a.val,
by rwa [nat.mod_add_div] at this,
suffices : (n + 1) % 2 + (n + 1) / 2 ≤ val a ↔ (n + 1) / 2 < val a,
by rw [nat.sub_le_iff, two_mul, ← add_assoc, nat.add_sub_cancel, this],
cases (n + 1 : ℕ).mod_two_eq_zero_or_one with hn0 hn1,
{ split,
{ assume h,
apply lt_of_le_of_ne (le_trans (nat.le_add_left _ _) h),
contrapose! haa,
rw [← zmod.nat_cast_zmod_val a, ← haa, neg_eq_iff_add_eq_zero, ← nat.cast_add],
rw [char_p.cast_eq_zero_iff (zmod (n+1)) (n+1)],
rw [← two_mul, ← zero_add (2 * _), ← hn0, nat.mod_add_div] },
{ rw [hn0, zero_add], exact le_of_lt } },
{ rw [hn1, add_comm, nat.succ_le_iff] }
end
lemma val_eq_ite_val_min_abs {n : ℕ} [fact (0 < n)] (a : zmod n) :
(a.val : ℤ) = a.val_min_abs + if a.val ≤ n / 2 then 0 else n :=
by { rw [zmod.val_min_abs_def_pos], split_ifs; simp only [add_zero, sub_add_cancel] }
lemma prime_ne_zero (p q : ℕ) [hp : fact p.prime] [hq : fact q.prime] (hpq : p ≠ q) :
(q : zmod p) ≠ 0 :=
by rwa [← nat.cast_zero, ne.def, eq_iff_modeq_nat, nat.modeq_zero_iff_dvd,
← hp.1.coprime_iff_not_dvd, nat.coprime_primes hp.1 hq.1]
end zmod
namespace zmod
variables (p : ℕ) [fact p.prime]
private lemma mul_inv_cancel_aux (a : zmod p) (h : a ≠ 0) : a * a⁻¹ = 1 :=
begin
obtain ⟨k, rfl⟩ := nat_cast_zmod_surjective a,
apply coe_mul_inv_eq_one,
apply nat.coprime.symm,
rwa [nat.prime.coprime_iff_not_dvd (fact.out p.prime), ← char_p.cast_eq_zero_iff (zmod p)]
end
/-- Field structure on `zmod p` if `p` is prime. -/
instance : field (zmod p) :=
{ mul_inv_cancel := mul_inv_cancel_aux p,
inv_zero := inv_zero p,
.. zmod.comm_ring p,
.. zmod.has_inv p,
.. zmod.nontrivial p }
end zmod
lemma ring_hom.ext_zmod {n : ℕ} {R : Type*} [semiring R] (f g : (zmod n) →+* R) : f = g :=
begin
ext a,
obtain ⟨k, rfl⟩ := zmod.int_cast_surjective a,
let φ : ℤ →+* R := f.comp (int.cast_ring_hom (zmod n)),
let ψ : ℤ →+* R := g.comp (int.cast_ring_hom (zmod n)),
show φ k = ψ k,
rw φ.ext_int ψ,
end
namespace zmod
variables {n : ℕ} {R : Type*}
instance subsingleton_ring_hom [semiring R] : subsingleton ((zmod n) →+* R) :=
⟨ring_hom.ext_zmod⟩
instance subsingleton_ring_equiv [semiring R] : subsingleton (zmod n ≃+* R) :=
⟨λ f g, by { rw ring_equiv.coe_ring_hom_inj_iff, apply ring_hom.ext_zmod _ _ }⟩
@[simp] lemma ring_hom_map_cast [ring R] (f : R →+* (zmod n)) (k : zmod n) :
f k = k :=
by { cases n; simp }
lemma ring_hom_right_inverse [ring R] (f : R →+* (zmod n)) :
function.right_inverse (coe : zmod n → R) f :=
ring_hom_map_cast f
lemma ring_hom_surjective [ring R] (f : R →+* (zmod n)) : function.surjective f :=
(ring_hom_right_inverse f).surjective
lemma ring_hom_eq_of_ker_eq [comm_ring R] (f g : R →+* (zmod n))
(h : f.ker = g.ker) : f = g :=
begin
have := f.lift_of_right_inverse_comp _ (zmod.ring_hom_right_inverse f) ⟨g, le_of_eq h⟩,
rw subtype.coe_mk at this,
rw [←this, ring_hom.ext_zmod (f.lift_of_right_inverse _ _ _) (ring_hom.id _), ring_hom.id_comp],
end
section lift
variables (n) {A : Type*} [add_group A]
/-- The map from `zmod n` induced by `f : ℤ →+ A` that maps `n` to `0`. -/
@[simps]
def lift : {f : ℤ →+ A // f n = 0} ≃ (zmod n →+ A) :=
(equiv.subtype_equiv_right $ begin
intro f,
rw ker_int_cast_add_hom,
split,
{ rintro hf _ ⟨x, rfl⟩,
simp only [f.map_gsmul, gsmul_zero, f.mem_ker, hf] },
{ intro h,
refine h (add_subgroup.mem_gmultiples _) }
end).trans $ ((int.cast_add_hom (zmod n)).lift_of_right_inverse coe int_cast_zmod_cast)
variables (f : {f : ℤ →+ A // f n = 0})
@[simp] lemma lift_coe (x : ℤ) :
lift n f (x : zmod n) = f x :=
add_monoid_hom.lift_of_right_inverse_comp_apply _ _ _ _ _
lemma lift_cast_add_hom (x : ℤ) :
lift n f (int.cast_add_hom (zmod n) x) = f x :=
add_monoid_hom.lift_of_right_inverse_comp_apply _ _ _ _ _
@[simp] lemma lift_comp_coe : zmod.lift n f ∘ coe = f :=
funext $ lift_coe _ _
@[simp] lemma lift_comp_cast_add_hom :
(zmod.lift n f).comp (int.cast_add_hom (zmod n)) = f :=
add_monoid_hom.ext $ lift_cast_add_hom _ _
end lift
end zmod
|
b3ce71c9f21e17c67f0e59e2051c2529bfddf307 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/algebra/category/Semigroup/basic.lean | b1437c021246164760c20445d7e763cab66999c1 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 7,411 | lean | /-
Copyright (c) 2021 Julian Kuelshammer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Julian Kuelshammer
-/
import algebra.pempty_instances
import algebra.hom.equiv
import category_theory.concrete_category.bundled_hom
import category_theory.functor.reflects_isomorphisms
/-!
# Category instances for has_mul, has_add, semigroup and add_semigroup
We introduce the bundled categories:
* `Magma`
* `AddMagma`
* `Semigroup`
* `AddSemigroup`
along with the relevant forgetful functors between them.
This closely follows `algebra.category.Mon.basic`.
## TODO
* Limits in these categories
* free/forgetful adjunctions
-/
universes u v
open category_theory
/-- The category of magmas and magma morphisms. -/
@[to_additive AddMagma]
def Magma : Type (u+1) := bundled has_mul
/-- The category of additive magmas and additive magma morphisms. -/
add_decl_doc AddMagma
namespace Magma
@[to_additive]
instance bundled_hom : bundled_hom @mul_hom :=
⟨@mul_hom.to_fun, @mul_hom.id, @mul_hom.comp, @mul_hom.coe_inj⟩
attribute [derive [large_category, concrete_category]] Magma
attribute [to_additive] Magma.large_category Magma.concrete_category
@[to_additive] instance : has_coe_to_sort Magma Type* := bundled.has_coe_to_sort
/-- Construct a bundled `Magma` from the underlying type and typeclass. -/
@[to_additive]
def of (M : Type u) [has_mul M] : Magma := bundled.of M
/-- Construct a bundled `AddMagma` from the underlying type and typeclass. -/
add_decl_doc AddMagma.of
/-- Typecheck a `mul_hom` as a morphism in `Magma`. -/
@[to_additive] def of_hom {X Y : Type u} [has_mul X] [has_mul Y] (f : X →ₙ* Y) :
of X ⟶ of Y := f
/-- Typecheck a `add_hom` as a morphism in `AddMagma`. -/
add_decl_doc AddMagma.of_hom
@[simp, to_additive] lemma of_hom_apply {X Y : Type u} [has_mul X] [has_mul Y] (f : X →ₙ* Y)
(x : X) : of_hom f x = f x := rfl
@[to_additive]
instance : inhabited Magma := ⟨Magma.of pempty⟩
@[to_additive]
instance (M : Magma) : has_mul M := M.str
@[simp, to_additive] lemma coe_of (R : Type u) [has_mul R] : (Magma.of R : Type u) = R := rfl
end Magma
/-- The category of semigroups and semigroup morphisms. -/
@[to_additive AddSemigroup]
def Semigroup : Type (u+1) := bundled semigroup
/-- The category of additive semigroups and semigroup morphisms. -/
add_decl_doc AddSemigroup
namespace Semigroup
@[to_additive]
instance : bundled_hom.parent_projection semigroup.to_has_mul := ⟨⟩
attribute [derive [large_category, concrete_category]] Semigroup
attribute [to_additive] Semigroup.large_category Semigroup.concrete_category
@[to_additive] instance : has_coe_to_sort Semigroup Type* := bundled.has_coe_to_sort
/-- Construct a bundled `Semigroup` from the underlying type and typeclass. -/
@[to_additive]
def of (M : Type u) [semigroup M] : Semigroup := bundled.of M
/-- Construct a bundled `AddSemigroup` from the underlying type and typeclass. -/
add_decl_doc AddSemigroup.of
/-- Typecheck a `mul_hom` as a morphism in `Semigroup`. -/
@[to_additive] def of_hom {X Y : Type u} [semigroup X] [semigroup Y] (f : X →ₙ* Y) :
of X ⟶ of Y := f
/-- Typecheck a `add_hom` as a morphism in `AddSemigroup`. -/
add_decl_doc AddSemigroup.of_hom
@[simp, to_additive] lemma of_hom_apply {X Y : Type u} [semigroup X] [semigroup Y] (f : X →ₙ* Y)
(x : X) : of_hom f x = f x := rfl
@[to_additive]
instance : inhabited Semigroup := ⟨Semigroup.of pempty⟩
@[to_additive]
instance (M : Semigroup) : semigroup M := M.str
@[simp, to_additive] lemma coe_of (R : Type u) [semigroup R] : (Semigroup.of R : Type u) = R := rfl
@[to_additive has_forget_to_AddMagma]
instance has_forget_to_Magma : has_forget₂ Semigroup Magma := bundled_hom.forget₂ _ _
end Semigroup
variables {X Y : Type u}
section
variables [has_mul X] [has_mul Y]
/-- Build an isomorphism in the category `Magma` from a `mul_equiv` between `has_mul`s. -/
@[to_additive add_equiv.to_AddMagma_iso "Build an isomorphism in the category `AddMagma` from
an `add_equiv` between `has_add`s.", simps]
def mul_equiv.to_Magma_iso (e : X ≃* Y) : Magma.of X ≅ Magma.of Y :=
{ hom := e.to_mul_hom,
inv := e.symm.to_mul_hom }
end
section
variables [semigroup X] [semigroup Y]
/-- Build an isomorphism in the category `Semigroup` from a `mul_equiv` between `semigroup`s. -/
@[to_additive add_equiv.to_AddSemigroup_iso "Build an isomorphism in the category
`AddSemigroup` from an `add_equiv` between `add_semigroup`s.", simps]
def mul_equiv.to_Semigroup_iso (e : X ≃* Y) : Semigroup.of X ≅ Semigroup.of Y :=
{ hom := e.to_mul_hom,
inv := e.symm.to_mul_hom }
end
namespace category_theory.iso
/-- Build a `mul_equiv` from an isomorphism in the category `Magma`. -/
@[to_additive AddMagma_iso_to_add_equiv "Build an `add_equiv` from an isomorphism in the category
`AddMagma`."]
def Magma_iso_to_mul_equiv {X Y : Magma} (i : X ≅ Y) : X ≃* Y :=
{ to_fun := i.hom,
inv_fun := i.inv,
left_inv := begin rw function.left_inverse, simp end,
right_inv := begin rw function.right_inverse, rw function.left_inverse, simp end,
map_mul' := by simp }
/-- Build a `mul_equiv` from an isomorphism in the category `Semigroup`. -/
@[to_additive "Build an `add_equiv` from an isomorphism in the category
`AddSemigroup`."]
def Semigroup_iso_to_mul_equiv {X Y : Semigroup} (i : X ≅ Y) : X ≃* Y :=
{ to_fun := i.hom,
inv_fun := i.inv,
left_inv := begin rw function.left_inverse, simp end,
right_inv := begin rw function.right_inverse, rw function.left_inverse, simp end,
map_mul' := by simp }
end category_theory.iso
/-- multiplicative equivalences between `has_mul`s are the same as (isomorphic to) isomorphisms
in `Magma` -/
@[to_additive add_equiv_iso_AddMagma_iso "additive equivalences between `has_add`s are the same
as (isomorphic to) isomorphisms in `AddMagma`"]
def mul_equiv_iso_Magma_iso {X Y : Type u} [has_mul X] [has_mul Y] :
(X ≃* Y) ≅ (Magma.of X ≅ Magma.of Y) :=
{ hom := λ e, e.to_Magma_iso,
inv := λ i, i.Magma_iso_to_mul_equiv }
/-- multiplicative equivalences between `semigroup`s are the same as (isomorphic to) isomorphisms
in `Semigroup` -/
@[to_additive add_equiv_iso_AddSemigroup_iso "additive equivalences between `add_semigroup`s are
the same as (isomorphic to) isomorphisms in `AddSemigroup`"]
def mul_equiv_iso_Semigroup_iso {X Y : Type u} [semigroup X] [semigroup Y] :
(X ≃* Y) ≅ (Semigroup.of X ≅ Semigroup.of Y) :=
{ hom := λ e, e.to_Semigroup_iso,
inv := λ i, i.Semigroup_iso_to_mul_equiv }
@[to_additive]
instance Magma.forget_reflects_isos : reflects_isomorphisms (forget Magma.{u}) :=
{ reflects := λ X Y f _,
begin
resetI,
let i := as_iso ((forget Magma).map f),
let e : X ≃* Y := { ..f, ..i.to_equiv },
exact ⟨(is_iso.of_iso e.to_Magma_iso).1⟩,
end }
@[to_additive]
instance Semigroup.forget_reflects_isos : reflects_isomorphisms (forget Semigroup.{u}) :=
{ reflects := λ X Y f _,
begin
resetI,
let i := as_iso ((forget Semigroup).map f),
let e : X ≃* Y := { ..f, ..i.to_equiv },
exact ⟨(is_iso.of_iso e.to_Semigroup_iso).1⟩,
end }
/-!
Once we've shown that the forgetful functors to type reflect isomorphisms,
we automatically obtain that the `forget₂` functors between our concrete categories
reflect isomorphisms.
-/
example : reflects_isomorphisms (forget₂ Semigroup Magma) := by apply_instance
|
0f3f8da15fe1d7411533bfc161ca48226613836d | cc62cd292c1acc80a10b1c645915b70d2cdee661 | /src/category_theory/limits/obviously.lean | b4ddd1dcd97552187690cb0ceafae0f230dcd2fb | [] | no_license | RitaAhmadi/lean-category-theory | 4afb881c4b387ee2c8ce706c454fbf9db8897a29 | a27b4ae5eac978e9188d2e867c3d11d9a5b87a9e | refs/heads/master | 1,651,786,183,402 | 1,565,604,314,000 | 1,565,604,314,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,812 | lean | import category_theory.limits.limits
import category_theory.limits.shapes.binary_products
import category_theory.limits.shapes.products
import category_theory.limits.shapes.pullbacks
import category_theory.limits.shapes.equalizers
import category_theory.tactics.obviously
open category_theory.limits
attribute [search] fork.condition cofork.condition pullback_cone.condition pushout_cocone.condition cone.w cocone.w
attribute [search] is_limit.fac
attribute [search,elim] is_limit.uniq
attribute [search] is_colimit.fac
attribute [search,elim] is_colimit.uniq
attribute [search] limit.pre_π limit.post_π colimit.ι_pre colimit.ι_post
-- attribute [search] is_binary_product.fac₁ is_binary_product.fac₂
-- attribute [search,elim] is_binary_product.uniq
-- attribute [search] prod.lift_π₁ prod.lift_π₂ prod.map_π₁ prod.map_π₂ prod.swap_π₁ prod.swap_π₂
-- attribute [search] coprod.ι₁_desc coprod.ι₂_desc coprod.ι₁_map coprod.ι₂_map coprod.ι₁_swap coprod.ι₂_swap
-- attribute [search] prod.swap_swap prod.lift_swap prod.swap_map prod.map_map
-- attribute [search] coprod.swap_swap coprod.swap_desc coprod.swap_map coprod.map_map
-- attribute [search] is_product.fac is_coproduct.fac
-- attribute [search,elim] is_product.uniq is_coproduct.uniq
-- attribute [search] pi.lift_π pi.map_π pi.pre_π pi.post_π
-- attribute [search] sigma.ι_desc sigma.ι_map sigma.ι_pre sigma.ι_post
-- attribute [search] is_pullback.fac₁ is_pullback.fac₂
-- attribute [search,elim] is_pullback.uniq
-- attribute [search] is_pushout.fac₁ is_pushout.fac₂
-- attribute [search,elim] is_pushout.uniq
-- attribute [search] is_equalizer.fac
-- attribute [search,elim] is_equalizer.uniq
-- attribute [search] is_coequalizer.fac
-- attribute [search,elim] is_coequalizer.uniq
|
59f29355410628574f6f90f10d8534f0574bc66a | bb31430994044506fa42fd667e2d556327e18dfe | /src/data/rat/cast.lean | 50bd3848cea21ba70f830d08abcb8bafc3e36ae4 | [
"Apache-2.0"
] | permissive | sgouezel/mathlib | 0cb4e5335a2ba189fa7af96d83a377f83270e503 | 00638177efd1b2534fc5269363ebf42a7871df9a | refs/heads/master | 1,674,527,483,042 | 1,673,665,568,000 | 1,673,665,568,000 | 119,598,202 | 0 | 0 | null | 1,517,348,647,000 | 1,517,348,646,000 | null | UTF-8 | Lean | false | false | 14,883 | lean | /-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import data.rat.order
import data.rat.lemmas
import data.int.char_zero
import algebra.group_with_zero.power
import algebra.field.opposite
import algebra.order.field.basic
/-!
# Casts for Rational Numbers
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
## Summary
We define the canonical injection from ℚ into an arbitrary division ring and prove various
casting lemmas showing the well-behavedness of this injection.
## Notations
- `/.` is infix notation for `rat.mk`.
## Tags
rat, rationals, field, ℚ, numerator, denominator, num, denom, cast, coercion, casting
-/
variables {F ι α β : Type*}
namespace rat
open_locale rat
section with_div_ring
variable [division_ring α]
@[simp, norm_cast] theorem cast_coe_int (n : ℤ) : ((n : ℚ) : α) = n :=
(cast_def _).trans $ show (n / (1:ℕ) : α) = n, by rw [nat.cast_one, div_one]
@[simp, norm_cast] theorem cast_coe_nat (n : ℕ) : ((n : ℚ) : α) = n :=
by rw [← int.cast_coe_nat, cast_coe_int, int.cast_coe_nat]
@[simp, norm_cast] lemma cast_zero : ((0 : ℚ) : α) = 0 := (cast_coe_int _).trans int.cast_zero
@[simp, norm_cast] lemma cast_one : ((1 : ℚ) : α) = 1 := (cast_coe_int _).trans int.cast_one
theorem cast_commute (r : ℚ) (a : α) : commute ↑r a :=
by simpa only [cast_def] using (r.1.cast_commute a).div_left (r.2.cast_commute a)
theorem cast_comm (r : ℚ) (a : α) : (r : α) * a = a * r :=
(cast_commute r a).eq
theorem commute_cast (a : α) (r : ℚ) : commute a r :=
(r.cast_commute a).symm
@[norm_cast] theorem cast_mk_of_ne_zero (a b : ℤ)
(b0 : (b:α) ≠ 0) : (a /. b : α) = a / b :=
begin
have b0' : b ≠ 0, { refine mt _ b0, simp {contextual := tt} },
cases e : a /. b with n d h c,
have d0 : (d:α) ≠ 0,
{ intro d0,
have dd := denom_dvd a b,
cases (show (d:ℤ) ∣ b, by rwa e at dd) with k ke,
have : (b:α) = (d:α) * (k:α), {rw [ke, int.cast_mul, int.cast_coe_nat]},
rw [d0, zero_mul] at this, contradiction },
rw [num_denom'] at e,
have := congr_arg (coe : ℤ → α) ((mk_eq b0' $ ne_of_gt $ int.coe_nat_pos.2 h).1 e),
rw [int.cast_mul, int.cast_mul, int.cast_coe_nat] at this,
symmetry,
rw [cast_def, div_eq_mul_inv, eq_div_iff_mul_eq d0, mul_assoc, (d.commute_cast _).eq,
← mul_assoc, this, mul_assoc, mul_inv_cancel b0, mul_one]
end
@[norm_cast] theorem cast_add_of_ne_zero : ∀ {m n : ℚ},
(m.denom : α) ≠ 0 → (n.denom : α) ≠ 0 → ((m + n : ℚ) : α) = m + n
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := λ (d₁0 : (d₁:α) ≠ 0) (d₂0 : (d₂:α) ≠ 0), begin
have d₁0' : (d₁:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₁0; exact d₁0 nat.cast_zero),
have d₂0' : (d₂:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₂0; exact d₂0 nat.cast_zero),
rw [num_denom', num_denom', add_def d₁0' d₂0'],
suffices : (n₁ * (d₂ * (d₂⁻¹ * d₁⁻¹)) +
n₂ * (d₁ * d₂⁻¹) * d₁⁻¹ : α) = n₁ * d₁⁻¹ + n₂ * d₂⁻¹,
{ rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero, cast_mk_of_ne_zero],
{ simpa [division_def, left_distrib, right_distrib, mul_inv_rev, d₁0, d₂0, mul_assoc] },
all_goals {simp [d₁0, d₂0]} },
rw [← mul_assoc (d₂:α), mul_inv_cancel d₂0, one_mul,
(nat.cast_commute _ _).eq], simp [d₁0, mul_assoc]
end
@[simp, norm_cast] theorem cast_neg : ∀ n, ((-n : ℚ) : α) = -n
| ⟨n, d, h, c⟩ := by simpa only [cast_def] using show (↑-n / d : α) = -(n / d),
by rw [div_eq_mul_inv, div_eq_mul_inv, int.cast_neg, neg_mul_eq_neg_mul]
@[norm_cast] theorem cast_sub_of_ne_zero {m n : ℚ}
(m0 : (m.denom : α) ≠ 0) (n0 : (n.denom : α) ≠ 0) : ((m - n : ℚ) : α) = m - n :=
have ((-n).denom : α) ≠ 0, by cases n; exact n0,
by simp [sub_eq_add_neg, (cast_add_of_ne_zero m0 this)]
@[norm_cast] theorem cast_mul_of_ne_zero : ∀ {m n : ℚ},
(m.denom : α) ≠ 0 → (n.denom : α) ≠ 0 → ((m * n : ℚ) : α) = m * n
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := λ (d₁0 : (d₁:α) ≠ 0) (d₂0 : (d₂:α) ≠ 0), begin
have d₁0' : (d₁:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₁0; exact d₁0 nat.cast_zero),
have d₂0' : (d₂:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₂0; exact d₂0 nat.cast_zero),
rw [num_denom', num_denom', mul_def d₁0' d₂0'],
suffices : (n₁ * ((n₂ * d₂⁻¹) * d₁⁻¹) : α) = n₁ * (d₁⁻¹ * (n₂ * d₂⁻¹)),
{ rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero, cast_mk_of_ne_zero],
{ simpa [division_def, mul_inv_rev, d₁0, d₂0, mul_assoc] },
all_goals {simp [d₁0, d₂0]} },
rw [(d₁.commute_cast (_:α)).inv_right₀.eq]
end
@[simp] theorem cast_inv_nat (n : ℕ) : ((n⁻¹ : ℚ) : α) = n⁻¹ :=
begin
cases n, { simp },
simp_rw [coe_nat_eq_mk, inv_def, mk, mk_nat, dif_neg n.succ_ne_zero, mk_pnat],
simp [cast_def]
end
@[simp] theorem cast_inv_int (n : ℤ) : ((n⁻¹ : ℚ) : α) = n⁻¹ :=
begin
cases n,
{ simp [cast_inv_nat] },
{ simp only [int.cast_neg_succ_of_nat, ← nat.cast_succ, cast_neg, inv_neg, cast_inv_nat] }
end
@[norm_cast] theorem cast_inv_of_ne_zero : ∀ {n : ℚ},
(n.num : α) ≠ 0 → (n.denom : α) ≠ 0 → ((n⁻¹ : ℚ) : α) = n⁻¹
| ⟨n, d, h, c⟩ := λ (n0 : (n:α) ≠ 0) (d0 : (d:α) ≠ 0), begin
have n0' : (n:ℤ) ≠ 0 := λ e, by rw e at n0; exact n0 int.cast_zero,
have d0' : (d:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d0; exact d0 nat.cast_zero),
rw [num_denom', inv_def],
rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero, inv_div];
simp [n0, d0]
end
@[norm_cast] theorem cast_div_of_ne_zero {m n : ℚ} (md : (m.denom : α) ≠ 0)
(nn : (n.num : α) ≠ 0) (nd : (n.denom : α) ≠ 0) : ((m / n : ℚ) : α) = m / n :=
have (n⁻¹.denom : ℤ) ∣ n.num,
by conv in n⁻¹.denom { rw [←(@num_denom n), inv_def] };
apply denom_dvd,
have (n⁻¹.denom : α) = 0 → (n.num : α) = 0, from
λ h, let ⟨k, e⟩ := this in
by have := congr_arg (coe : ℤ → α) e;
rwa [int.cast_mul, int.cast_coe_nat, h, zero_mul] at this,
by rw [division_def, cast_mul_of_ne_zero md (mt this nn), cast_inv_of_ne_zero nn nd, division_def]
@[simp, norm_cast] theorem cast_inj [char_zero α] : ∀ {m n : ℚ}, (m : α) = n ↔ m = n
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := begin
refine ⟨λ h, _, congr_arg _⟩,
have d₁0 : d₁ ≠ 0 := ne_of_gt h₁,
have d₂0 : d₂ ≠ 0 := ne_of_gt h₂,
have d₁a : (d₁:α) ≠ 0 := nat.cast_ne_zero.2 d₁0,
have d₂a : (d₂:α) ≠ 0 := nat.cast_ne_zero.2 d₂0,
rw [num_denom', num_denom'] at h ⊢,
rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero] at h; simp [d₁0, d₂0] at h ⊢,
rwa [eq_div_iff_mul_eq d₂a, division_def, mul_assoc, (d₁.cast_commute (d₂:α)).inv_left₀.eq,
← mul_assoc, ← division_def, eq_comm, eq_div_iff_mul_eq d₁a, eq_comm,
← int.cast_coe_nat d₁, ← int.cast_mul, ← int.cast_coe_nat d₂, ← int.cast_mul,
int.cast_inj, ← mk_eq (int.coe_nat_ne_zero.2 d₁0) (int.coe_nat_ne_zero.2 d₂0)] at h
end
theorem cast_injective [char_zero α] : function.injective (coe : ℚ → α)
| m n := cast_inj.1
@[simp] theorem cast_eq_zero [char_zero α] {n : ℚ} : (n : α) = 0 ↔ n = 0 :=
by rw [← cast_zero, cast_inj]
theorem cast_ne_zero [char_zero α] {n : ℚ} : (n : α) ≠ 0 ↔ n ≠ 0 :=
not_congr cast_eq_zero
@[simp, norm_cast] theorem cast_add [char_zero α] (m n) :
((m + n : ℚ) : α) = m + n :=
cast_add_of_ne_zero (nat.cast_ne_zero.2 $ ne_of_gt m.pos) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp, norm_cast] theorem cast_sub [char_zero α] (m n) :
((m - n : ℚ) : α) = m - n :=
cast_sub_of_ne_zero (nat.cast_ne_zero.2 $ ne_of_gt m.pos) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp, norm_cast] theorem cast_mul [char_zero α] (m n) :
((m * n : ℚ) : α) = m * n :=
cast_mul_of_ne_zero (nat.cast_ne_zero.2 $ ne_of_gt m.pos) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp, norm_cast] theorem cast_bit0 [char_zero α] (n : ℚ) :
((bit0 n : ℚ) : α) = bit0 n :=
cast_add _ _
@[simp, norm_cast] theorem cast_bit1 [char_zero α] (n : ℚ) :
((bit1 n : ℚ) : α) = bit1 n :=
by rw [bit1, cast_add, cast_one, cast_bit0]; refl
variables (α) [char_zero α]
/-- Coercion `ℚ → α` as a `ring_hom`. -/
def cast_hom : ℚ →+* α := ⟨coe, cast_one, cast_mul, cast_zero, cast_add⟩
variable {α}
@[simp] lemma coe_cast_hom : ⇑(cast_hom α) = coe := rfl
@[simp, norm_cast] theorem cast_inv (n) : ((n⁻¹ : ℚ) : α) = n⁻¹ := map_inv₀ (cast_hom α) _
@[simp, norm_cast] theorem cast_div (m n) : ((m / n : ℚ) : α) = m / n := map_div₀ (cast_hom α) _ _
@[simp, norm_cast] theorem cast_zpow (q : ℚ) (n : ℤ) : ((q ^ n : ℚ) : α) = q ^ n :=
map_zpow₀ (cast_hom α) q n
@[norm_cast] theorem cast_mk (a b : ℤ) : ((a /. b) : α) = a / b :=
by simp only [mk_eq_div, cast_div, cast_coe_int]
@[simp, norm_cast] theorem cast_pow (q) (k : ℕ) : ((q ^ k : ℚ) : α) = q ^ k :=
(cast_hom α).map_pow q k
end with_div_ring
section linear_ordered_field
variables {K : Type*} [linear_ordered_field K]
lemma cast_pos_of_pos {r : ℚ} (hr : 0 < r) : (0 : K) < r :=
begin
rw [rat.cast_def],
exact div_pos (int.cast_pos.2 $ num_pos_iff_pos.2 hr) (nat.cast_pos.2 r.pos)
end
@[mono] lemma cast_strict_mono : strict_mono (coe : ℚ → K) :=
λ m n, by simpa only [sub_pos, cast_sub] using @cast_pos_of_pos K _ (n - m)
@[mono] lemma cast_mono : monotone (coe : ℚ → K) := cast_strict_mono.monotone
/-- Coercion from `ℚ` as an order embedding. -/
@[simps] def cast_order_embedding : ℚ ↪o K := order_embedding.of_strict_mono coe cast_strict_mono
@[simp, norm_cast] theorem cast_le {m n : ℚ} : (m : K) ≤ n ↔ m ≤ n := cast_order_embedding.le_iff_le
@[simp, norm_cast] theorem cast_lt {m n : ℚ} : (m : K) < n ↔ m < n := cast_strict_mono.lt_iff_lt
@[simp] theorem cast_nonneg {n : ℚ} : 0 ≤ (n : K) ↔ 0 ≤ n := by norm_cast
@[simp] theorem cast_nonpos {n : ℚ} : (n : K) ≤ 0 ↔ n ≤ 0 := by norm_cast
@[simp] theorem cast_pos {n : ℚ} : (0 : K) < n ↔ 0 < n := by norm_cast
@[simp] theorem cast_lt_zero {n : ℚ} : (n : K) < 0 ↔ n < 0 := by norm_cast
@[simp, norm_cast] theorem cast_min {a b : ℚ} : (↑(min a b) : K) = min a b :=
(@cast_mono K _).map_min
@[simp, norm_cast] theorem cast_max {a b : ℚ} : (↑(max a b) : K) = max a b :=
(@cast_mono K _).map_max
@[simp, norm_cast] theorem cast_abs {q : ℚ} : ((|q| : ℚ) : K) = |q| := by simp [abs_eq_max_neg]
open set
@[simp] lemma preimage_cast_Icc (a b : ℚ) : coe ⁻¹' (Icc (a : K) b) = Icc a b := by { ext x, simp }
@[simp] lemma preimage_cast_Ico (a b : ℚ) : coe ⁻¹' (Ico (a : K) b) = Ico a b := by { ext x, simp }
@[simp] lemma preimage_cast_Ioc (a b : ℚ) : coe ⁻¹' (Ioc (a : K) b) = Ioc a b := by { ext x, simp }
@[simp] lemma preimage_cast_Ioo (a b : ℚ) : coe ⁻¹' (Ioo (a : K) b) = Ioo a b := by { ext x, simp }
@[simp] lemma preimage_cast_Ici (a : ℚ) : coe ⁻¹' (Ici (a : K)) = Ici a := by { ext x, simp }
@[simp] lemma preimage_cast_Iic (a : ℚ) : coe ⁻¹' (Iic (a : K)) = Iic a := by { ext x, simp }
@[simp] lemma preimage_cast_Ioi (a : ℚ) : coe ⁻¹' (Ioi (a : K)) = Ioi a := by { ext x, simp }
@[simp] lemma preimage_cast_Iio (a : ℚ) : coe ⁻¹' (Iio (a : K)) = Iio a := by { ext x, simp }
end linear_ordered_field
@[norm_cast] theorem cast_id (n : ℚ) : (↑n : ℚ) = n := by rw [cast_def, num_div_denom]
@[simp] theorem cast_eq_id : (coe : ℚ → ℚ) = id := funext cast_id
@[simp] lemma cast_hom_rat : cast_hom ℚ = ring_hom.id ℚ := ring_hom.ext cast_id
end rat
open rat
@[simp] lemma map_rat_cast [division_ring α] [division_ring β] [ring_hom_class F α β]
(f : F) (q : ℚ) : f q = q :=
by rw [cast_def, map_div₀, map_int_cast, map_nat_cast, cast_def]
@[simp] lemma eq_rat_cast {k} [division_ring k] [ring_hom_class F ℚ k] (f : F) (r : ℚ) : f r = r :=
by rw [← map_rat_cast f, rat.cast_id]
namespace monoid_with_zero_hom
variables {M₀ : Type*} [monoid_with_zero M₀] [monoid_with_zero_hom_class F ℚ M₀] {f g : F}
include M₀
/-- If `f` and `g` agree on the integers then they are equal `φ`. -/
theorem ext_rat' (h : ∀ m : ℤ, f m = g m) : f = g :=
fun_like.ext f g $ λ r, by rw [← r.num_div_denom, div_eq_mul_inv, map_mul, map_mul, h,
← int.cast_coe_nat, eq_on_inv₀ f g (h _)]
/-- If `f` and `g` agree on the integers then they are equal `φ`.
See note [partially-applied ext lemmas] for why `comp` is used here. -/
@[ext] theorem ext_rat {f g : ℚ →*₀ M₀}
(h : f.comp (int.cast_ring_hom ℚ : ℤ →*₀ ℚ) = g.comp (int.cast_ring_hom ℚ)) : f = g :=
ext_rat' $ congr_fun h
/-- Positive integer values of a morphism `φ` and its value on `-1` completely determine `φ`. -/
theorem ext_rat_on_pnat
(same_on_neg_one : f (-1) = g (-1)) (same_on_pnat : ∀ n : ℕ, 0 < n → f n = g n) : f = g :=
ext_rat' $ fun_like.congr_fun $ show (f : ℚ →*₀ M₀).comp (int.cast_ring_hom ℚ : ℤ →*₀ ℚ) =
(g : ℚ →*₀ M₀).comp (int.cast_ring_hom ℚ : ℤ →*₀ ℚ),
from ext_int' (by simpa) (by simpa)
end monoid_with_zero_hom
/-- Any two ring homomorphisms from `ℚ` to a semiring are equal. If the codomain is a division ring,
then this lemma follows from `eq_rat_cast`. -/
lemma ring_hom.ext_rat {R : Type*} [semiring R] [ring_hom_class F ℚ R] (f g : F) : f = g :=
monoid_with_zero_hom.ext_rat' $ ring_hom.congr_fun $
((f : ℚ →+* R).comp (int.cast_ring_hom ℚ)).ext_int ((g : ℚ →+* R).comp (int.cast_ring_hom ℚ))
instance rat.subsingleton_ring_hom {R : Type*} [semiring R] : subsingleton (ℚ →+* R) :=
⟨ring_hom.ext_rat⟩
namespace mul_opposite
variables [division_ring α]
@[simp, norm_cast] lemma op_rat_cast (r : ℚ) : op (r : α) = (↑r : αᵐᵒᵖ) :=
by rw [cast_def, div_eq_mul_inv, op_mul, op_inv, op_nat_cast, op_int_cast,
(commute.cast_int_right _ r.num).eq, cast_def, div_eq_mul_inv]
@[simp, norm_cast] lemma unop_rat_cast (r : ℚ) : unop (r : αᵐᵒᵖ) = r :=
by rw [cast_def, div_eq_mul_inv, unop_mul, unop_inv, unop_nat_cast, unop_int_cast,
(commute.cast_int_right _ r.num).eq, cast_def, div_eq_mul_inv]
end mul_opposite
section smul
namespace rat
variables {K : Type*} [division_ring K]
@[priority 100]
instance distrib_smul : distrib_smul ℚ K :=
{ smul := (•),
smul_zero := λ a, by rw [smul_def, mul_zero],
smul_add := λ a x y, by simp only [smul_def, mul_add, cast_add] }
instance is_scalar_tower_right : is_scalar_tower ℚ K K :=
⟨λ a x y, by simp only [smul_def, smul_eq_mul, mul_assoc]⟩
end rat
end smul
|
df3847132dafbe03a1fa3b44d20f4098025af597 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/float_from_bignum.lean | afa15606d871d773c919c2d19ce5edd69e88c059 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 350 | lean | def check (b : Bool) : IO Unit :=
unless b do
throw $ IO.userError "check failed"
def tst1 : IO Unit := do
check (Nat.toFloat (10^40) > Nat.toFloat (10^30));
check (Nat.toFloat (10^40) >= Nat.toFloat (10^30));
check (Nat.toFloat (10^40) == Nat.toFloat (10^40));
check (Nat.toFloat (10^80) > Nat.toFloat (10^40));
pure ()
#eval tst1
|
d19fb98bcc15bd725f879a66d1b122bd52313010 | 947b78d97130d56365ae2ec264df196ce769371a | /tests/compiler/foreign/main.lean | 174caa9309b17c59968ed21038f9ea70cbed08bc | [
"Apache-2.0"
] | permissive | shyamalschandra/lean4 | 27044812be8698f0c79147615b1d5090b9f4b037 | 6e7a883b21eaf62831e8111b251dc9b18f40e604 | refs/heads/master | 1,671,417,126,371 | 1,601,859,995,000 | 1,601,860,020,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 969 | lean | constant SPointed : PointedType := arbitrary _
def S : Type := SPointed.type
instance : Inhabited S := ⟨SPointed.val⟩
@[extern "lean_mk_S"] constant mkS (x y : UInt32) (s : @& String) : S := arbitrary _
@[extern "lean_S_add_x_y"] constant S.addXY (s : @& S) : UInt32 := arbitrary _
@[extern "lean_S_string"] constant S.string (s : @& S) : String := arbitrary _
-- The following 3 externs have side effects. Thus, we put them in IO.
@[extern "lean_S_global_append"] constant appendToGlobalS (str : @& String) : IO Unit := arbitrary _
@[extern "lean_S_global_string"] constant getGlobalString : IO String := arbitrary _
@[extern "lean_S_update_global"] constant updateGlobalS (s : @& S) : IO Unit := arbitrary _
def main : IO Unit := do
IO.println (mkS 10 20 "hello").addXY;
IO.println (mkS 10 20 "hello").string;
appendToGlobalS "foo";
appendToGlobalS "bla";
getGlobalString >>= IO.println;
updateGlobalS (mkS 0 0 "world");
getGlobalString >>= IO.println;
pure ()
|
1cc9f3ca9d275201ba044876b7e5db56b6806e7f | 968e2f50b755d3048175f176376eff7139e9df70 | /examples/prop_logic_lean_summary/unnamed_433.lean | d88061a8b025aef85ded9ad7189ef81af0eae092 | [] | no_license | gihanmarasingha/mth1001_sphinx | 190a003269ba5e54717b448302a27ca26e31d491 | 05126586cbf5786e521be1ea2ef5b4ba3c44e74a | refs/heads/master | 1,672,913,933,677 | 1,604,516,583,000 | 1,604,516,583,000 | 309,245,750 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 122 | lean | variables p q : Prop
-- BEGIN
example (h : p ↔ q) : p → q :=
begin
cases h with h₁ h₂,
exact h₁,
end
-- END |
291fa21b5a03e720651e1b868de06dc013647cd4 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/trust0/t1.lean | c287f20c1fe14fc87b31f35876163747d5a41fb8 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 38 | lean | import Init.System.IO
-- #print trust
|
ecf48ef45e4fa8ec40a683aa1de82081942cf124 | 4b846d8dabdc64e7ea03552bad8f7fa74763fc67 | /library/init/data/list/instances.lean | a02490ac261b4bb50a5ab3f09b3a4b236a33d473 | [
"Apache-2.0"
] | permissive | pacchiano/lean | 9324b33f3ac3b5c5647285160f9f6ea8d0d767dc | fdadada3a970377a6df8afcd629a6f2eab6e84e8 | refs/heads/master | 1,611,357,380,399 | 1,489,870,101,000 | 1,489,870,101,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,569 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
prelude
import init.category.monad init.category.alternative init.data.list.basic
import init.meta.mk_dec_eq_instance
open list
universes u v
instance : alternative list :=
{ list.monad with
failure := @nil,
orelse := @list.append }
instance {α : Type u} [decidable_eq α] : decidable_eq (list α) :=
by tactic.mk_dec_eq_instance
instance : decidable_eq string :=
list.decidable_eq
namespace list
variables {α : Type u} [decidable_eq α]
variables (p : α → Prop) [decidable_pred p]
instance decidable_bex : ∀ (l : list α), decidable (∃ x ∈ l, p x)
| [] := is_false (by intro; cases a; cases a_2; cases a)
| (x::xs) :=
if hx : p x then
is_true ⟨x, or.inl rfl, hx⟩
else
match decidable_bex xs with
| is_true hxs := is_true $ begin
cases hxs with x' hx', cases hx' with hx' hpx',
existsi x', existsi (or.inr hx'), assumption, exact x' = x
end
| is_false hxs := is_false $ begin
intro hxxs, cases hxxs with x' hx', cases hx' with hx' hpx',
cases hx', cc,
apply hxs, existsi x', existsi a, assumption
end
end
instance decidable_ball (l : list α) : decidable (∀ x ∈ l, p x) :=
if h : ∃ x ∈ l, ¬ p x then
is_false $ begin cases h with x h, cases h with hx h, intro h', apply h, apply h', assumption end
else
is_true $ λ x hx, if h' : p x then h' else false.elim $ h ⟨x, hx, h'⟩
end list
|
43e2fa759b49055bd7dd7aeffb7abf3de575ad8c | d1a52c3f208fa42c41df8278c3d280f075eb020c | /tests/lean/run/simp1.lean | af26ab6004ea264051d77d981f86328007465ba5 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | cipher1024/lean4 | 6e1f98bb58e7a92b28f5364eb38a14c8d0aae393 | 69114d3b50806264ef35b57394391c3e738a9822 | refs/heads/master | 1,642,227,983,603 | 1,642,011,696,000 | 1,642,011,696,000 | 228,607,691 | 0 | 0 | Apache-2.0 | 1,576,584,269,000 | 1,576,584,268,000 | null | UTF-8 | Lean | false | false | 1,306 | lean | import Lean
@[simp] theorem ex1 (x : Nat) : 2 * x = x + x :=
sorry
@[simp] theorem ex2 (xs : List α) : xs ++ [] = xs :=
sorry
@[simp] theorem ex3 (xs ys zs : List α) : (xs ++ ys) ++ zs = xs ++ (ys ++ zs) :=
sorry
@[simp] theorem ex5 (p : Prop) : p ∨ True :=
sorry
@[simp] theorem ex4 (xs : List α) : ¬(x :: xs = []) :=
sorry
@[simp] theorem ex6 (p q : Prop) : p ∨ q ↔ q ∨ p:=
sorry
@[simp high] theorem ex7 [Add α] (a b : α) : a + b = b + a :=
sorry
@[simp↓] theorem ex8 [Add α] (p q : Prop) : (¬ (p ∧ q)) = (¬p ∨ ¬q) :=
sorry
axiom aux {α} (f : List α → List α) (xs ys : List α) : f (xs ++ ys) ++ [] = f (xs ++ ys)
open Lean
open Lean.Meta
def tst1 : MetaM Unit := do
let lemmas ← Meta.getSimpLemmas
trace[Meta.debug] "{lemmas.pre}\n-----\n{lemmas.post}"
set_option trace.Meta.debug true in
#eval tst1
def tst2 : MetaM Unit := do
let c ← getConstInfo `aux
forallTelescopeReducing c.type fun xs type => do
match type.eq? with
| none => throwError "unexpected"
| some (_, lhs, _) =>
trace[Meta.debug] "lhs: {lhs}"
let s ← Meta.getSimpLemmas
let m ← s.post.getMatch lhs
trace[Meta.debug] "result: {m}"
assert! m.any fun s => s.name? == `ex2
set_option trace.Meta.debug true in
#eval tst2
|
53e8fd159c15214854b80e450a2a586569167a67 | 7cef822f3b952965621309e88eadf618da0c8ae9 | /archive/cubing_a_cube.lean | b2606268e816baa670bc6a228a09f9f725523b59 | [
"Apache-2.0"
] | permissive | rmitta/mathlib | 8d90aee30b4db2b013e01f62c33f297d7e64a43d | 883d974b608845bad30ae19e27e33c285200bf84 | refs/heads/master | 1,585,776,832,544 | 1,576,874,096,000 | 1,576,874,096,000 | 153,663,165 | 0 | 2 | Apache-2.0 | 1,544,806,490,000 | 1,539,884,365,000 | Lean | UTF-8 | Lean | false | false | 23,002 | lean | /-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Floris van Doorn
-/
import data.real.basic data.set.disjointed data.set.intervals set_theory.cardinal
/-!
Proof that a cube (in dimension n ≥ 3) cannot be cubed:
There does not exist a partition of a cube into finitely many smaller cubes (at least two)
of different sizes.
We follow the proof described here: http://www.alaricstephen.com/main-featured/2017/9/28/cubing-a-cube-proof
-/
open real set function fin
noncomputable theory
variable {n : ℕ}
/-- Given three intervals `I, J, K` such that `J ⊂ I`,
neither endpoint of `J` coincides with an endpoint of `I`, `¬ (K ⊆ J)` and
`K` does not lie completely to the left nor completely to the right of `J`.
Then `I ∩ K \ J` is nonempty. -/
lemma Ico_lemma {α} [decidable_linear_order α] {x₁ x₂ y₁ y₂ z₁ z₂ w : α}
(h₁ : x₁ < y₁) (hy : y₁ < y₂) (h₂ : y₂ < x₂)
(hz₁ : z₁ ≤ y₂) (hz₂ : y₁ ≤ z₂) (hw : w ∉ Ico y₁ y₂ ∧ w ∈ Ico z₁ z₂) :
∃w, w ∈ Ico x₁ x₂ ∧ w ∉ Ico y₁ y₂ ∧ w ∈ Ico z₁ z₂ :=
begin
simp at hw,
refine ⟨max x₁ (min w y₂), _, _, _⟩,
{ simp [le_refl, lt_trans h₁ (lt_trans hy h₂), h₂] },
{ simp [lt_irrefl, not_le_of_lt h₁], intros, apply hw.1, assumption },
{ simp [hw.2.1, hw.2.2, hz₁, lt_of_lt_of_le h₁ hz₂] at ⊢ }
end
/-- A (hyper)-cube (in standard orientation) is a vector `b` consisting of the bottom-left point
of the cube, a width `w` and a proof that `w > 0`. We use functions from `fin n` to denote vectors.
-/
structure cube (n : ℕ) : Type :=
(b : fin n → ℝ) -- bottom-left coordinate
(w : ℝ) -- width
(hw : 0 < w)
namespace cube
lemma hw' (c : cube n) : 0 ≤ c.w := le_of_lt c.hw
/-- The j-th side of a cube is the half-open interval `[b j, b j + w)` -/
def side (c : cube n) (j : fin n) : set ℝ :=
Ico (c.b j) (c.b j + c.w)
@[simp] lemma b_mem_side (c : cube n) (j : fin n) : c.b j ∈ c.side j :=
by simp [side, cube.hw, le_refl]
def to_set (c : cube n) : set (fin n → ℝ) :=
{ x | ∀j, x j ∈ side c j }
def to_set_subset {c c' : cube n} : c.to_set ⊆ c'.to_set ↔ ∀j, c.side j ⊆ c'.side j :=
begin
split, intros h j x hx,
let f : fin n → ℝ := λ j', if j' = j then x else c.b j',
have : f ∈ c.to_set,
{ intro j', by_cases hj' : j' = j; simp [f, hj', if_pos, if_neg, hx] },
convert h this j, { simp [f, if_pos] },
intros h f hf j, exact h j (hf j)
end
def to_set_disjoint {c c' : cube n} : disjoint c.to_set c'.to_set ↔
∃j, disjoint (c.side j) (c'.side j) :=
begin
split, intros h, classical, by_contra h',
simp only [not_disjoint_iff, classical.skolem, not_exists] at h',
cases h' with f hf,
apply not_disjoint_iff.mpr ⟨f, _, _⟩ h; intro j, exact (hf j).1, exact (hf j).2,
rintro ⟨j, hj⟩, rw [set.disjoint_iff], rintros f ⟨h1f, h2f⟩,
apply not_disjoint_iff.mpr ⟨f j, h1f j, h2f j⟩ hj
end
lemma b_mem_to_set (c : cube n) : c.b ∈ c.to_set :=
by simp [to_set]
protected def tail (c : cube (n+1)) : cube n :=
⟨tail c.b, c.w, c.hw⟩
lemma side_tail (c : cube (n+1)) (j : fin n) : c.tail.side j = c.side j.succ := rfl
def bottom (c : cube (n+1)) : set (fin (n+1) → ℝ) :=
{ x | x 0 = c.b 0 ∧ tail x ∈ c.tail.to_set }
lemma b_mem_bottom (c : cube (n+1)) : c.b ∈ c.bottom :=
by simp [bottom, to_set, side, cube.hw, le_refl, cube.tail]
def xm (c : cube (n+1)) : ℝ :=
c.b 0 + c.w
lemma b_lt_xm (c : cube (n+1)) : c.b 0 < c.xm := by simp [xm, hw]
lemma b_ne_xm (c : cube (n+1)) : c.b 0 ≠ c.xm := ne_of_lt c.b_lt_xm
def shift_up (c : cube (n+1)) : cube (n+1) :=
⟨cons c.xm $ tail c.b, c.w, c.hw⟩
@[simp] lemma tail_shift_up (c : cube (n+1)) : c.shift_up.tail = c.tail :=
by simp [shift_up, cube.tail]
@[simp] lemma head_shift_up (c : cube (n+1)) : c.shift_up.b 0 = c.xm := rfl
def unit_cube : cube n :=
⟨λ _, 0, 1, by norm_num⟩
@[simp] lemma side_unit_cube {j : fin n} : unit_cube.side j = Ico 0 1 :=
by norm_num [unit_cube, side]
end cube
open cube
variables {ι : Type} [fintype ι] {cs : ι → cube (n+1)} {i i' : ι}
/-- A finite family of (at least 2) cubes partitioning the unit cube with different sizes -/
def correct (cs : ι → cube n) : Prop :=
pairwise (disjoint on (cube.to_set ∘ cs)) ∧
(⋃(i : ι), (cs i).to_set) = unit_cube.to_set ∧
injective (cube.w ∘ cs) ∧
2 ≤ cardinal.mk ι ∧
3 ≤ n
variable (h : correct cs)
include h
lemma to_set_subset_unit_cube {i} : (cs i).to_set ⊆ unit_cube.to_set :=
by { rw [←h.2.1], exact subset_Union _ i }
lemma side_subset {i j} : (cs i).side j ⊆ Ico 0 1 :=
by { have := to_set_subset_unit_cube h, rw [to_set_subset] at this,
convert this j, norm_num [unit_cube] }
lemma zero_le_of_mem_side {i j x} (hx : x ∈ (cs i).side j) : 0 ≤ x :=
(side_subset h hx).1
lemma zero_le_of_mem {i p} (hp : p ∈ (cs i).to_set) (j) : 0 ≤ p j :=
zero_le_of_mem_side h (hp j)
lemma zero_le_b {i j} : 0 ≤ (cs i).b j :=
zero_le_of_mem h (cs i).b_mem_to_set j
lemma b_add_w_le_one {j} : (cs i).b j + (cs i).w ≤ 1 :=
by { have := side_subset h, rw [side, Ico_subset_Ico_iff] at this, convert this.2, simp [hw] }
/-- The width of any cube in the partition cannot be 1. -/
lemma w_ne_one (i : ι) : (cs i).w ≠ 1 :=
begin
intro hi,
have := h.2.2.2.1, rw [cardinal.two_le_iff' i] at this, cases this with i' hi',
let p := (cs i').b,
have hp : p ∈ (cs i').to_set := (cs i').b_mem_to_set,
have h2p : p ∈ (cs i).to_set,
{ intro j, split,
transitivity (0 : ℝ),
{ rw [←add_le_add_iff_right (1 : ℝ)], convert b_add_w_le_one h, rw hi, rw zero_add },
apply zero_le_b h, apply lt_of_lt_of_le (side_subset h $ (cs i').b_mem_side j).2,
simp [hi, zero_le_b h] },
apply not_disjoint_iff.mpr ⟨p, hp, h2p⟩,
apply h.1, exact hi'.symm
end
/-- The top of a cube (which is the bottom of the cube shifted up by its width) must be covered by
bottoms of (other) cubes in the family. -/
lemma shift_up_bottom_subset_bottoms (hc : (cs i).xm ≠ 1) :
(cs i).shift_up.bottom ⊆ ⋃(i : ι), (cs i).bottom :=
begin
intros p hp, cases hp with hp0 hps, rw [tail_shift_up] at hps,
have : p ∈ (unit_cube : cube (n+1)).to_set,
{ simp only [to_set, forall_fin_succ, hp0, side_unit_cube, mem_set_of_eq, mem_Ico,
head_shift_up], refine ⟨⟨_, _⟩, _⟩,
{ rw [←zero_add (0 : ℝ)], apply add_le_add, apply zero_le_b h, apply (cs i).hw' },
{ exact lt_of_le_of_ne (b_add_w_le_one h) hc },
intro j, exact side_subset h (hps j) },
rw [←h.2.1] at this, rcases this with ⟨_, ⟨i', rfl⟩, hi'⟩,
rw [mem_Union], use i', refine ⟨_, λ j, hi' j.succ⟩,
have : i ≠ i', { rintro rfl, apply not_le_of_lt (hi' 0).2, rw [hp0], refl },
have := h.1 i i' this, rw [on_fun, to_set_disjoint, exists_fin_succ] at this,
rcases this with h0|⟨j, hj⟩,
rw [hp0], symmetry, apply eq_of_Ico_disjoint h0 (by simp [hw]) _,
convert hi' 0, rw [hp0], refl,
exfalso, apply not_disjoint_iff.mpr ⟨tail p j, hps j, hi' j.succ⟩ hj
end
omit h
/-- A valley is a square on which cubes in the family of cubes are placed, so that the cubes
completely cover the valley and none of those cubes is partially outside the square.
We also require that no cube on it has the same size as the valley (so that there are at least
two cubes on the valley).
This is the main concept in the formalization.
We prove that the smallest cube on a valley has another valley on the top of it, which
gives an infinite sequence of cubes in the partition, which contradicts the finiteness.
A valley is characterized by a cube `c` (which is not a cube in the family cs) by considering
the bottom face of `c`. -/
def valley (cs : ι → cube (n+1)) (c : cube (n+1)) : Prop :=
c.bottom ⊆ (⋃(i : ι), (cs i).bottom) ∧
(∀i, (cs i).b 0 = c.b 0 → (∃x, x ∈ (cs i).tail.to_set ∩ c.tail.to_set) →
(cs i).tail.to_set ⊆ c.tail.to_set) ∧
∀(i : ι), (cs i).b 0 = c.b 0 → (cs i).w ≠ c.w
variables {c : cube (n+1)} (v : valley cs c)
/-- The bottom of the unit cube is a valley -/
lemma valley_unit_cube (h : correct cs) : valley cs unit_cube :=
begin
refine ⟨_, _, _⟩,
{ intro v, simp [bottom],
intros h0 hv,
have : v ∈ (unit_cube : cube (n+1)).to_set,
{ dsimp [to_set], rw [forall_fin_succ, h0], split, norm_num [side, unit_cube], exact hv },
rw [←h.2.1] at this, rcases this with ⟨_, ⟨i, rfl⟩, hi⟩,
use i,
split, { apply le_antisymm, rw h0, exact zero_le_b h, exact (hi 0).1 },
intro j, exact hi _ },
{ intros i hi h', rw to_set_subset, intro j, convert side_subset h, simp [side_tail] },
{ intros i hi, exact w_ne_one h i }
end
/-- the cubes which lie in the valley `c` -/
def bcubes (cs : ι → cube (n+1)) (c : cube (n+1)) : set ι :=
{ i : ι | (cs i).b 0 = c.b 0 ∧ (cs i).tail.to_set ⊆ c.tail.to_set }
/-- A cube which lies on the boundary of a valley in dimension `j` -/
def on_boundary (hi : i ∈ bcubes cs c) (j : fin n) : Prop :=
c.b j.succ = (cs i).b j.succ ∨ (cs i).b j.succ + (cs i).w = c.b j.succ + c.w
lemma tail_sub (hi : i ∈ bcubes cs c) : ∀j, (cs i).tail.side j ⊆ c.tail.side j :=
by { rw [←to_set_subset], exact hi.2 }
lemma bottom_mem_side (hi : i ∈ bcubes cs c) : c.b 0 ∈ (cs i).side 0 :=
by { convert b_mem_side (cs i) _ using 1, rw hi.1 }
lemma b_le_b (hi : i ∈ bcubes cs c) (j : fin n) : c.b j.succ ≤ (cs i).b j.succ :=
(tail_sub hi j $ b_mem_side _ _).1
lemma t_le_t (hi : i ∈ bcubes cs c) (j : fin n) :
(cs i).b j.succ + (cs i).w ≤ c.b j.succ + c.w :=
begin
have h' := tail_sub hi j, dsimp only [side] at h', rw [Ico_subset_Ico_iff] at h',
exact h'.2, simp [hw]
end
include h v
/-- Every cube in the valley must be smaller than it -/
lemma w_lt_w (hi : i ∈ bcubes cs c) : (cs i).w < c.w :=
begin
apply lt_of_le_of_ne _ (v.2.2 i hi.1),
have j : fin n := ⟨1, nat.le_of_succ_le_succ h.2.2.2.2⟩,
rw [←add_le_add_iff_left ((cs i).b j.succ)],
apply le_trans (t_le_t hi j), rw [add_le_add_iff_right], apply b_le_b hi,
end
open cardinal
/-- There are at least two cubes in a valley -/
lemma two_le_mk_bcubes : 2 ≤ cardinal.mk (bcubes cs c) :=
begin
rw [two_le_iff],
rcases v.1 c.b_mem_bottom with ⟨_, ⟨i, rfl⟩, hi⟩,
have h2i : i ∈ bcubes cs c := ⟨hi.1.symm, v.2.1 i hi.1.symm ⟨tail c.b, hi.2, λ j, c.b_mem_side j.succ⟩⟩,
let j : fin (n+1) := ⟨2, h.2.2.2.2⟩,
have hj : 0 ≠ j := by { intro h', have := congr_arg fin.val h', contradiction },
let p : fin (n+1) → ℝ := λ j', if j' = j then c.b j + (cs i).w else c.b j',
have hp : p ∈ c.bottom,
{ split, { simp only [bottom, p, if_neg hj] },
intro j', simp [tail, side_tail],
by_cases hj' : j'.succ = j,
{ simp [p, -add_comm, if_pos, side, hj', hw', w_lt_w h v h2i] },
{ simp [p, -add_comm, if_neg hj'] }},
rcases v.1 hp with ⟨_, ⟨i', rfl⟩, hi'⟩,
have h2i' : i' ∈ bcubes cs c := ⟨hi'.1.symm, v.2.1 i' hi'.1.symm ⟨tail p, hi'.2, hp.2⟩⟩,
refine ⟨⟨i, h2i⟩, ⟨i', h2i'⟩, _⟩,
intro hii', cases congr_arg subtype.val hii',
apply not_le_of_lt (hi'.2 ⟨1, nat.le_of_succ_le_succ h.2.2.2.2⟩).2,
simp only [-add_comm, tail, cube.tail, p], rw [if_pos], simp [-add_comm],
exact (hi.2 _).1, refl
end
/-- There is a cube in the valley -/
lemma nonempty_bcubes : nonempty (bcubes cs c) :=
begin
rw [←ne_zero_iff_nonempty], intro h', have := two_le_mk_bcubes h v, rw h' at this,
apply not_lt_of_le this, rw [←nat.cast_two, ←nat.cast_zero, nat_cast_lt], norm_num
end
/-- There is a smallest cube in the valley -/
lemma exists_mi : ∃(i : ι), i ∈ bcubes cs c ∧ ∀(i' ∈ bcubes cs c),
(cs i).w ≤ (cs i').w :=
(bcubes cs c).exists_min (λ i, (cs i).w) (finite.of_fintype _)
(nonempty_bcubes h v)
/-- We let `mi` be the (index for the) smallest cube in the valley `c` -/
def mi : ι := classical.some $ exists_mi h v
variables {h v}
lemma mi_mem_bcubes : mi h v ∈ bcubes cs c :=
(classical.some_spec $ exists_mi h v).1
lemma mi_minimal (hi : i ∈ bcubes cs c) : (cs $ mi h v).w ≤ (cs i).w :=
(classical.some_spec $ exists_mi h v).2 i hi
lemma mi_strict_minimal (hii' : mi h v ≠ i) (hi : i ∈ bcubes cs c) :
(cs $ mi h v).w < (cs i).w :=
by { apply lt_of_le_of_ne (mi_minimal hi), apply h.2.2.1.ne, apply hii' }
/-- The top of `mi` cannot be 1, since there is a larger cube in the valley -/
lemma mi_xm_ne_one : (cs $ mi h v).xm ≠ 1 :=
begin
apply ne_of_lt, rcases (two_le_iff' _).mp (two_le_mk_bcubes h v) with ⟨⟨i, hi⟩, h2i⟩,
swap, exact ⟨mi h v, mi_mem_bcubes⟩,
apply lt_of_lt_of_le _ (b_add_w_le_one h), exact i, exact 0,
rw [xm, mi_mem_bcubes.1, hi.1, _root_.add_lt_add_iff_left],
apply mi_strict_minimal _ hi, intro h', apply h2i, rw subtype.ext, exact h'
end
/-- If `mi` lies on the boundary of the valley in dimension j, then this lemma expresses that all
other cubes on the same boundary extend further from the boundary.
More precisely, there is a j-th coordinate `x : ℝ` in the valley, but not in `mi`,
such that every cube that shares a (particular) j-th coordinate with `mi` also contains j-th
coordinate `x` -/
lemma smallest_on_boundary {j} (bi : on_boundary (mi_mem_bcubes : mi h v ∈ _) j) :
∃(x : ℝ), x ∈ c.side j.succ \ (cs $ mi h v).side j.succ ∧
∀{{i'}} (hi' : i' ∈ bcubes cs c), i' ≠ mi h v →
(cs $ mi h v).b j.succ ∈ (cs i').side j.succ → x ∈ (cs i').side j.succ :=
begin
let i := mi h v, have hi : i ∈ bcubes cs c := mi_mem_bcubes,
cases bi,
{ refine ⟨(cs i).b j.succ + (cs i).w, ⟨_, _⟩, _⟩,
{ simp [side, bi, hw', w_lt_w h v hi] },
{ intro h', simpa [i, lt_irrefl] using h'.2 },
intros i' hi' i'_i h2i', split,
apply le_trans h2i'.1, { simp [hw'] },
apply lt_of_lt_of_le (add_lt_add_left (mi_strict_minimal i'_i.symm hi') _),
simp [bi.symm, b_le_b hi'] },
let s := bcubes cs c \ { i },
have hs : nonempty s,
{ rcases (two_le_iff' (⟨i, hi⟩ : bcubes cs c)).mp (two_le_mk_bcubes h v) with ⟨⟨i', hi'⟩, h2i'⟩,
refine ⟨⟨i', hi', _⟩⟩, simp only [mem_singleton_iff], intro h, apply h2i', simp [h] },
rcases set.exists_min s (w ∘ cs) (finite.of_fintype _) hs with ⟨i', ⟨hi', h2i'⟩, h3i'⟩,
rw [mem_singleton_iff] at h2i',
let x := c.b j.succ + c.w - (cs i').w,
have hx : x < (cs i).b j.succ,
{ dsimp only [x], rw [←bi, add_sub_assoc, add_lt_iff_neg_left, sub_lt_zero],
apply mi_strict_minimal (ne.symm h2i') hi' },
refine ⟨x, ⟨_, _⟩, _⟩,
{ simp only [side, x, -add_comm, -add_assoc, neg_lt_zero, hw, add_lt_iff_neg_left, and_true,
mem_Ico, sub_eq_add_neg],
rw [add_assoc, le_add_iff_nonneg_right, ←sub_eq_add_neg, sub_nonneg],
apply le_of_lt (w_lt_w h v hi') },
{ simp only [side, not_and_distrib, not_lt, add_comm, not_le, mem_Ico], left, exact hx },
intros i'' hi'' h2i'' h3i'', split, swap, apply lt_trans hx h3i''.2,
simp only [x], rw [le_sub_iff_add_le],
refine le_trans _ (t_le_t hi'' j), rw [add_le_add_iff_left], apply h3i' i'' ⟨hi'', _⟩,
simp [mem_singleton, h2i'']
end
variables (h v)
/-- `mi` cannot lie on the boundary of the valley. Otherwise, the cube adjacent to it in the `j`-th
direction will intersect one of the neighbouring cubes on the same boundary as `mi`. -/
lemma mi_not_on_boundary (j : fin n) : ¬on_boundary (mi_mem_bcubes : mi h v ∈ _) j :=
begin
let i := mi h v, have hi : i ∈ bcubes cs c := mi_mem_bcubes,
rcases (two_le_iff' j).mp _ with ⟨j', hj'⟩, swap,
{ rw [mk_fin, ←nat.cast_two, nat_cast_le], apply nat.le_of_succ_le_succ h.2.2.2.2 },
intro hj,
rcases smallest_on_boundary hj with ⟨x, ⟨hx, h2x⟩, h3x⟩,
let p : fin (n+1) → ℝ := cons (c.b 0) (λ j₂, if j₂ = j then x else (cs i).b j₂.succ),
have hp : p ∈ c.bottom,
{ simp [bottom, p, to_set, tail, side_tail], intro j₂,
by_cases hj₂ : j₂ = j, simp [hj₂, hx],
simp [hj₂], apply tail_sub hi, apply b_mem_side },
rcases v.1 hp with ⟨_, ⟨i', rfl⟩, hi'⟩,
have h2i' : i' ∈ bcubes cs c := ⟨hi'.1.symm, v.2.1 i' hi'.1.symm ⟨tail p, hi'.2, hp.2⟩⟩,
have i_i' : i ≠ i', { rintro rfl, simpa [p, side_tail, i, h2x] using hi'.2 j },
have : nonempty ↥((cs i').tail.side j' \ (cs i).tail.side j'),
{ apply nonempty_Ico_sdiff, apply mi_strict_minimal i_i' h2i', apply hw },
rcases this with ⟨⟨x', hx'⟩⟩,
let p' : fin (n+1) → ℝ :=
cons (c.b 0) (λ j₂, if j₂ = j' then x' else (cs i).b j₂.succ),
have hp' : p' ∈ c.bottom,
{ simp [bottom, p', to_set, tail, side_tail], intro j₂,
by_cases hj₂ : j₂ = j', simp [hj₂], apply tail_sub h2i', apply hx'.1,
simp [hj₂], apply tail_sub hi, apply b_mem_side },
rcases v.1 hp' with ⟨_, ⟨i'', rfl⟩, hi''⟩,
have h2i'' : i'' ∈ bcubes cs c := ⟨hi''.1.symm, v.2.1 i'' hi''.1.symm ⟨tail p', hi''.2, hp'.2⟩⟩,
have i'_i'' : i' ≠ i'',
{ rintro ⟨⟩,
have : (cs i).b ∈ (cs i').to_set,
{ simp [to_set, forall_fin_succ, hi.1, bottom_mem_side h2i'],
intro j₂, by_cases hj₂ : j₂ = j, simpa [side_tail, p', hj', hj₂] using hi''.2 j,
simpa [hj₂] using hi'.2 j₂ },
apply not_disjoint_iff.mpr ⟨(cs i).b, (cs i).b_mem_to_set, this⟩ (h.1 i i' i_i') },
have i_i'' : i ≠ i'', { intro h, induction h, simpa [hx'.2] using hi''.2 j' },
apply not.elim _ (h.1 i' i'' i'_i''),
simp only [on_fun, to_set_disjoint, not_disjoint_iff, forall_fin_succ, not_exists, comp_app],
refine ⟨⟨c.b 0, bottom_mem_side h2i', bottom_mem_side h2i''⟩, _⟩,
intro j₂,
by_cases hj₂ : j₂ = j,
{ cases hj₂, refine ⟨x, _, _⟩,
{ convert hi'.2 j, simp [p] },
apply h3x h2i'' i_i''.symm, convert hi''.2 j, simp [p', hj'] },
by_cases h2j₂ : j₂ = j',
{ cases h2j₂, refine ⟨x', hx'.1, _⟩, convert hi''.2 j', simp },
refine ⟨(cs i).b j₂.succ, _, _⟩,
{ convert hi'.2 j₂, simp [hj₂] },
{ convert hi''.2 j₂, simp [h2j₂] }
end
variables {h v}
/-- The same result that `mi` cannot lie on the boundary of the valley written as inequalities. -/
lemma mi_not_on_boundary' (j : fin n) : c.tail.b j < (cs (mi h v)).tail.b j ∧
(cs (mi h v)).tail.b j + (cs (mi h v)).w < c.tail.b j + c.w :=
begin
have := mi_not_on_boundary h v j,
simp only [on_boundary, not_or_distrib] at this, cases this with h1 h2,
split,
apply lt_of_le_of_ne (b_le_b mi_mem_bcubes _) h1,
apply lt_of_le_of_ne _ h2,
apply ((Ico_subset_Ico_iff _).mp (tail_sub mi_mem_bcubes j)).2, simp [hw]
end
/-- The top of `mi` gives rise to a new valley, since the neighbouring cubes extend further upward
than `mi`. -/
def valley_mi : valley cs ((cs (mi h v)).shift_up) :=
begin
let i := mi h v, have hi : i ∈ bcubes cs c := mi_mem_bcubes,
refine ⟨_, _, _⟩,
{ intro p, apply shift_up_bottom_subset_bottoms h mi_xm_ne_one },
{ rintros i' hi' ⟨p2, hp2, h2p2⟩, simp only [head_shift_up] at hi', classical, by_contra h2i',
rw [tail_shift_up] at h2p2, simp only [not_subset, tail_shift_up] at h2i',
rcases h2i' with ⟨p1, hp1, h2p1⟩,
have : ∃p3, p3 ∈ (cs i').tail.to_set ∧ p3 ∉ (cs i).tail.to_set ∧ p3 ∈ c.tail.to_set,
{ simp [to_set, not_forall] at h2p1, cases h2p1 with j hj,
rcases Ico_lemma (mi_not_on_boundary' j).1 (by simp [hw]) (mi_not_on_boundary' j).2
(le_trans (hp2 j).1 $ le_of_lt (h2p2 j).2)
(le_trans (h2p2 j).1 $ le_of_lt (hp2 j).2) ⟨hj, hp1 j⟩ with ⟨w, hw, h2w, h3w⟩,
refine ⟨λ j', if j' = j then w else p2 j', _, _, _⟩,
{ intro j', by_cases h : j' = j, simp [if_pos h], convert h3w,
simp [if_neg h], exact hp2 j' },
{ simp [to_set, not_forall], use j, rw [if_pos rfl], convert h2w },
{ intro j', by_cases h : j' = j, simp [if_pos h, side_tail], convert hw,
simp [if_neg h], apply hi.2, apply h2p2 }},
rcases this with ⟨p3, h1p3, h2p3, h3p3⟩,
let p := cons (c.b 0) p3,
have hp : p ∈ c.bottom, { refine ⟨rfl, _⟩, rwa [tail_cons] },
rcases v.1 hp with ⟨_, ⟨i'', rfl⟩, hi''⟩,
have h2i'' : i'' ∈ bcubes cs c,
{ use hi''.1.symm, apply v.2.1 i'' hi''.1.symm,
use tail p, split, exact hi''.2, rw [tail_cons], exact h3p3 },
have h3i'' : (cs i).w < (cs i'').w,
{ apply mi_strict_minimal _ h2i'', rintro rfl, apply h2p3, convert hi''.2, rw [tail_cons] },
let p' := cons (cs i).xm p3,
have hp' : p' ∈ (cs i').to_set,
{ simpa [to_set, forall_fin_succ, p', hi'.symm] using h1p3 },
have h2p' : p' ∈ (cs i'').to_set,
{ simp [to_set, forall_fin_succ, p'],
refine ⟨_, by simpa [to_set, p] using hi''.2⟩,
have : (cs i).b 0 = (cs i'').b 0, { by rw [hi.1, h2i''.1] },
simp [side, hw', xm, this, h3i''] },
apply not_disjoint_iff.mpr ⟨p', hp', h2p'⟩,
apply h.1, rintro rfl, apply (cs i).b_ne_xm, rw [←hi', ←hi''.1, hi.1], refl },
{ intros i' hi' h2i', dsimp [shift_up] at h2i', replace h2i' := h.2.2.1 h2i'.symm, induction h2i',
exact b_ne_xm (cs i) hi' }
end
variables (h)
omit v
/-- We get a sequence of cubes whose size is decreasing -/
noncomputable def sequence_of_cubes : ℕ → { i : ι // valley cs ((cs i).shift_up) }
| 0 := let v := valley_unit_cube h in ⟨mi h v, valley_mi⟩
| (k+1) := let v := (sequence_of_cubes k).2 in ⟨mi h v, valley_mi⟩
def decreasing_sequence (k : ℕ) : order_dual ℝ :=
(cs (sequence_of_cubes h k).1).w
lemma strict_mono_sequence_of_cubes : strict_mono $ decreasing_sequence h :=
strict_mono.nat $
begin
intro k, let v := (sequence_of_cubes h k).2, dsimp [decreasing_sequence, sequence_of_cubes],
apply w_lt_w h v (mi_mem_bcubes : mi h v ∈ _),
end
omit h
/-- The infinite sequence of cubes contradicts the finiteness of the family. -/
theorem not_correct : ¬correct cs :=
begin
intro h, apply not_le_of_lt (lt_omega_iff_fintype.mpr ⟨_inst_1⟩),
rw [omega, lift_id], fapply mk_le_of_injective, exact λ n, (sequence_of_cubes h n).1,
intros n m hnm, apply strict_mono.injective (strict_mono_sequence_of_cubes h),
dsimp only [decreasing_sequence], rw hnm
end
/-- A cube cannot be cubed. -/
theorem cannot_cube_a_cube :
∀{n : ℕ}, n ≥ 3 → -- In ℝ^n for n ≥ 3
∀{ι : Type} [fintype ι] {cs : ι → cube n}, -- given a finite collection of (hyper)cubes
2 ≤ cardinal.mk ι → -- containing at least two elements
pairwise (disjoint on (cube.to_set ∘ cs)) → -- which is pairwise disjoint
(⋃(i : ι), (cs i).to_set) = unit_cube.to_set → -- whose union is the unit cube
injective (cube.w ∘ cs) → -- such that the widths of all cubes are different
false := -- then we can derive a contradiction
begin
intros n hn ι hι cs h1 h2 h3 h4, resetI,
rcases n, cases hn,
exact not_correct ⟨h2, h3, h4, h1, hn⟩
end
|
ca1225d3dd4799900de1b19d2bca897286289a2b | 618003631150032a5676f229d13a079ac875ff77 | /src/data/nat/cast.lean | bf820ac1d70f5ccacd3d3c16feddc384084e573f | [
"Apache-2.0"
] | permissive | awainverse/mathlib | 939b68c8486df66cfda64d327ad3d9165248c777 | ea76bd8f3ca0a8bf0a166a06a475b10663dec44a | refs/heads/master | 1,659,592,962,036 | 1,590,987,592,000 | 1,590,987,592,000 | 268,436,019 | 1 | 0 | Apache-2.0 | 1,590,990,500,000 | 1,590,990,500,000 | null | UTF-8 | Lean | false | false | 8,208 | lean | /-
Copyright (c) 2014 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Natural homomorphism from the natural numbers into a monoid with one.
-/
import algebra.ordered_field
import data.nat.basic
namespace nat
variables {α : Type*}
section
variables [has_zero α] [has_one α] [has_add α]
/-- Canonical homomorphism from `ℕ` to a type `α` with `0`, `1` and `+`. -/
protected def cast : ℕ → α
| 0 := 0
| (n+1) := cast n + 1
/--
Coercions such as `nat.cast_coe` that go from a concrete structure such as
`ℕ` to an arbitrary ring `α` should be set up as follows:
```lean
@[priority 900] instance : has_coe_t ℕ α := ⟨...⟩
```
It needs to be `has_coe_t` instead of `has_coe` because otherwise type-class
inference would loop when constructing the transitive coercion `ℕ → ℕ → ℕ → ...`.
The reduced priority is necessary so that it doesn't conflict with instances
such as `has_coe_t α (option α)`.
For this to work, we reduce the priority of the `coe_base` and `coe_trans`
instances because we want the instances for `has_coe_t` to be tried in the
following order:
1. `has_coe_t` instances declared in mathlib (such as `has_coe_t α (with_top α)`, etc.)
2. `coe_base`, which contains instances such as `has_coe (fin n) n`
3. `nat.cast_coe : has_coe_t ℕ α` etc.
4. `coe_trans`
If `coe_trans` is tried first, then `nat.cast_coe` doesn't get a chance to apply.
-/
library_note "coercion into rings"
attribute [instance, priority 950] coe_base
attribute [instance, priority 500] coe_trans
-- see note [coercion into rings]
@[priority 900] instance cast_coe : has_coe_t ℕ α := ⟨nat.cast⟩
@[simp, norm_cast] theorem cast_zero : ((0 : ℕ) : α) = 0 := rfl
theorem cast_add_one (n : ℕ) : ((n + 1 : ℕ) : α) = n + 1 := rfl
@[simp, norm_cast, priority 500]
theorem cast_succ (n : ℕ) : ((succ n : ℕ) : α) = n + 1 := rfl
@[simp, norm_cast] theorem cast_ite (P : Prop) [decidable P] (m n : ℕ) :
(((ite P m n) : ℕ) : α) = ite P (m : α) (n : α) :=
by { split_ifs; refl, }
end
@[simp, norm_cast] theorem cast_one [add_monoid α] [has_one α] : ((1 : ℕ) : α) = 1 := zero_add _
@[simp, norm_cast] theorem cast_add [add_monoid α] [has_one α] (m) : ∀ n, ((m + n : ℕ) : α) = m + n
| 0 := (add_zero _).symm
| (n+1) := show ((m + n : ℕ) : α) + 1 = m + (n + 1), by rw [cast_add n, add_assoc]
/-- `coe : ℕ → α` as an `add_monoid_hom`. -/
def cast_add_monoid_hom (α : Type*) [add_monoid α] [has_one α] : ℕ →+ α :=
{ to_fun := coe,
map_add' := cast_add,
map_zero' := cast_zero }
lemma coe_cast_add_monoid_hom [add_monoid α] [has_one α] : (cast_add_monoid_hom α : ℕ → α) = coe := rfl
@[simp, norm_cast] theorem cast_bit0 [add_monoid α] [has_one α] (n : ℕ) : ((bit0 n : ℕ) : α) = bit0 n := cast_add _ _
@[simp, norm_cast] theorem cast_bit1 [add_monoid α] [has_one α] (n : ℕ) : ((bit1 n : ℕ) : α) = bit1 n :=
by rw [bit1, cast_add_one, cast_bit0]; refl
lemma cast_two {α : Type*} [semiring α] : ((2 : ℕ) : α) = 2 := by simp
@[simp, norm_cast] theorem cast_pred [add_group α] [has_one α] : ∀ {n}, 0 < n → ((n - 1 : ℕ) : α) = n - 1
| (n+1) h := (add_sub_cancel (n:α) 1).symm
@[simp, norm_cast] theorem cast_sub [add_group α] [has_one α] {m n} (h : m ≤ n) : ((n - m : ℕ) : α) = n - m :=
eq_sub_of_add_eq $ by rw [← cast_add, nat.sub_add_cancel h]
@[simp, norm_cast] theorem cast_mul [semiring α] (m) : ∀ n, ((m * n : ℕ) : α) = m * n
| 0 := (mul_zero _).symm
| (n+1) := (cast_add _ _).trans $
show ((m * n : ℕ) : α) + m = m * (n + 1), by rw [cast_mul n, left_distrib, mul_one]
/-- `coe : ℕ → α` as a `ring_hom` -/
def cast_ring_hom (α : Type*) [semiring α] : ℕ →+* α :=
{ to_fun := coe,
map_one' := cast_one,
map_mul' := cast_mul,
.. cast_add_monoid_hom α }
lemma coe_cast_ring_hom [semiring α] : (cast_ring_hom α : ℕ → α) = coe := rfl
theorem mul_cast_comm [semiring α] (a : α) (n : ℕ) : a * n = n * a :=
by induction n; simp [left_distrib, right_distrib, *]
@[simp] theorem cast_nonneg [linear_ordered_semiring α] : ∀ n : ℕ, 0 ≤ (n : α)
| 0 := le_refl _
| (n+1) := add_nonneg (cast_nonneg n) zero_le_one
@[simp, norm_cast] theorem cast_le [linear_ordered_semiring α] : ∀ {m n : ℕ}, (m : α) ≤ n ↔ m ≤ n
| 0 n := by simp [zero_le]
| (m+1) 0 := by simpa [not_succ_le_zero] using
lt_add_of_nonneg_of_lt (@cast_nonneg α _ m) zero_lt_one
| (m+1) (n+1) := (add_le_add_iff_right 1).trans $
(@cast_le m n).trans $ (add_le_add_iff_right 1).symm
@[simp, norm_cast] theorem cast_lt [linear_ordered_semiring α] {m n : ℕ} : (m : α) < n ↔ m < n :=
by simpa [-cast_le] using not_congr (@cast_le α _ n m)
@[simp] theorem cast_pos [linear_ordered_semiring α] {n : ℕ} : (0 : α) < n ↔ 0 < n :=
by rw [← cast_zero, cast_lt]
lemma cast_add_one_pos [linear_ordered_semiring α] (n : ℕ) : 0 < (n : α) + 1 :=
add_pos_of_nonneg_of_pos n.cast_nonneg zero_lt_one
@[simp, norm_cast] theorem cast_min [decidable_linear_ordered_semiring α] {a b : ℕ} : (↑(min a b) : α) = min a b :=
by by_cases a ≤ b; simp [h, min]
@[simp, norm_cast] theorem cast_max [decidable_linear_ordered_semiring α] {a b : ℕ} : (↑(max a b) : α) = max a b :=
by by_cases a ≤ b; simp [h, max]
@[simp, norm_cast] theorem abs_cast [decidable_linear_ordered_comm_ring α] (a : ℕ) : abs (a : α) = a :=
abs_of_nonneg (cast_nonneg a)
section linear_ordered_field
variables [linear_ordered_field α]
lemma inv_pos_of_nat {n : ℕ} : 0 < ((n : α) + 1)⁻¹ :=
inv_pos.2 $ add_pos_of_nonneg_of_pos n.cast_nonneg zero_lt_one
lemma one_div_pos_of_nat {n : ℕ} : 0 < 1 / ((n : α) + 1) :=
by { rw one_div_eq_inv, exact inv_pos_of_nat }
lemma one_div_le_one_div {n m : ℕ} (h : n ≤ m) : 1 / ((m : α) + 1) ≤ 1 / ((n : α) + 1) :=
by { refine one_div_le_one_div_of_le _ _, exact nat.cast_add_one_pos _, simpa }
lemma one_div_lt_one_div {n m : ℕ} (h : n < m) : 1 / ((m : α) + 1) < 1 / ((n : α) + 1) :=
by { refine one_div_lt_one_div_of_lt _ _, exact nat.cast_add_one_pos _, simpa }
end linear_ordered_field
end nat
lemma add_monoid_hom.eq_nat_cast {A} [add_monoid A] [has_one A] (f : ℕ →+ A) (h1 : f 1 = 1) :
∀ n : ℕ, f n = n
| 0 := by simp only [nat.cast_zero, f.map_zero]
| (n+1) := by simp only [nat.cast_succ, f.map_add, add_monoid_hom.eq_nat_cast n, h1]
@[simp] lemma ring_hom.eq_nat_cast {R} [semiring R] (f : ℕ →+* R) (n : ℕ) : f n = n :=
f.to_add_monoid_hom.eq_nat_cast f.map_one n
@[simp] lemma ring_hom.map_nat_cast {R S} [semiring R] [semiring S] (f : R →+* S) (n : ℕ) :
f n = n :=
(f.comp (nat.cast_ring_hom R)).eq_nat_cast n
@[simp, norm_cast] theorem nat.cast_id (n : ℕ) : ↑n = n :=
((ring_hom.id ℕ).eq_nat_cast n).symm
@[simp] theorem nat.cast_with_bot : ∀ (n : ℕ),
@coe ℕ (with_bot ℕ) (@coe_to_lift _ _ nat.cast_coe) n = n
| 0 := rfl
| (n+1) := by rw [with_bot.coe_add, nat.cast_add, nat.cast_with_bot n]; refl
namespace with_top
variables {α : Type*} [canonically_ordered_comm_semiring α] [decidable_eq α]
@[simp] lemma coe_nat : ∀(n : nat), ((n : α) : with_top α) = n
| 0 := rfl
| (n+1) := have (((1 : nat) : α) : with_top α) = ((1 : nat) : with_top α) := rfl,
by rw [nat.cast_add, coe_add, nat.cast_add, coe_nat n, this]
@[simp] lemma nat_ne_top (n : nat) : (n : with_top α) ≠ ⊤ :=
by rw [←coe_nat n]; apply coe_ne_top
@[simp] lemma top_ne_nat (n : nat) : (⊤ : with_top α) ≠ n :=
by rw [←coe_nat n]; apply top_ne_coe
lemma add_one_le_of_lt {i n : with_top ℕ} (h : i < n) : i + 1 ≤ n :=
begin
cases n, { exact le_top },
cases i, { exact (not_le_of_lt h le_top).elim },
exact with_top.coe_le_coe.2 (with_top.coe_lt_coe.1 h)
end
@[elab_as_eliminator]
lemma nat_induction {P : with_top ℕ → Prop} (a : with_top ℕ)
(h0 : P 0) (hsuc : ∀n:ℕ, P n → P n.succ) (htop : (∀n : ℕ, P n) → P ⊤) : P a :=
begin
have A : ∀n:ℕ, P n,
{ assume n,
induction n with n IH,
{ exact h0 },
{ exact hsuc n IH } },
cases a,
{ exact htop A },
{ exact A a }
end
end with_top
|
c7ee27eab4abd1b4aa540954bf478ce4611e3880 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/topology/sheaves/functors.lean | 35679f3981c7ee64119d8000147e10455b5f8de0 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 2,518 | lean | /-
Copyright (c) 2021 Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Junyan Xu
-/
import topology.sheaves.sheaf_condition.pairwise_intersections
/-!
# functors between categories of sheaves
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Show that the pushforward of a sheaf is a sheaf, and define
the pushforward functor from the category of C-valued sheaves
on X to that of sheaves on Y, given a continuous map between
topological spaces X and Y.
TODO: pullback for presheaves and sheaves
-/
noncomputable theory
universes w v u
open category_theory
open category_theory.limits
open topological_space
variables {C : Type u} [category.{v} C]
variables {X Y : Top.{w}} (f : X ⟶ Y)
variables ⦃ι : Type w⦄ {U : ι → opens Y}
namespace Top
namespace presheaf.sheaf_condition_pairwise_intersections
lemma map_diagram :
pairwise.diagram U ⋙ opens.map f = pairwise.diagram ((opens.map f).obj ∘ U) :=
begin
apply functor.hext,
abstract obj_eq {intro i, cases i; refl},
intros i j g, apply subsingleton.helim,
iterate 2 {rw map_diagram.obj_eq},
end
lemma map_cocone : (opens.map f).map_cocone (pairwise.cocone U)
== pairwise.cocone ((opens.map f).obj ∘ U) :=
begin
unfold functor.map_cocone cocones.functoriality, dsimp, congr,
iterate 2 {rw map_diagram, rw opens.map_supr},
apply subsingleton.helim, rw [map_diagram, opens.map_supr],
apply proof_irrel_heq,
end
theorem pushforward_sheaf_of_sheaf {F : presheaf C X}
(h : F.is_sheaf_pairwise_intersections) :
(f _* F).is_sheaf_pairwise_intersections :=
λ ι U, begin
convert h ((opens.map f).obj ∘ U) using 2,
rw ← map_diagram, refl,
change F.map_cone ((opens.map f).map_cocone _).op == _,
congr, iterate 2 {rw map_diagram}, apply map_cocone,
end
end presheaf.sheaf_condition_pairwise_intersections
namespace sheaf
open presheaf
/--
The pushforward of a sheaf (by a continuous map) is a sheaf.
-/
theorem pushforward_sheaf_of_sheaf
{F : X.presheaf C} (h : F.is_sheaf) : (f _* F).is_sheaf :=
by rw is_sheaf_iff_is_sheaf_pairwise_intersections at h ⊢;
exact sheaf_condition_pairwise_intersections.pushforward_sheaf_of_sheaf f h
/--
The pushforward functor.
-/
def pushforward (f : X ⟶ Y) : X.sheaf C ⥤ Y.sheaf C :=
{ obj := λ ℱ, ⟨f _* ℱ.1, pushforward_sheaf_of_sheaf f ℱ.2⟩,
map := λ _ _ g, ⟨pushforward_map f g.1⟩ }
end sheaf
end Top
|
47f920a8d68c5c1a4056651dcc695ace1329535d | c8af905dcd8475f414868d303b2eb0e9d3eb32f9 | /src/data/list/witness.lean | 76a6d424b1e5846d45a786459cc6c04bbad042e0 | [
"BSD-3-Clause"
] | permissive | continuouspi/lean-cpi | 81480a13842d67ff5f3698643210d8ed5dd08de4 | 443bf2cb236feadc45a01387099c236ab2b78237 | refs/heads/master | 1,650,307,316,582 | 1,587,033,364,000 | 1,587,033,364,000 | 207,499,661 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,406 | lean | namespace list
variables {α β γ : Type}
def map_witness : ∀ (l : list α), (Π x ∈ l, β) → list β
| [] _ := []
| (x :: xs) f
:= f x (mem_cons_self x xs)
:: map_witness xs (λ x' mem, f x' (mem_cons_of_mem x mem))
lemma map_witness_mem :
∀ {l : list α} {x : α} (f : Π x ∈ l, β) (mem : x ∈ l)
, f x mem ∈ map_witness l f
| [] x f mem := not_mem_nil x mem
| (x :: xs) x' f mem :=
match mem with
| or.inl here := by simp [map_witness, here]
| or.inr there := begin
simp [map_witness],
from or.inr (map_witness_mem _ there)
end
end
lemma map_witness_to_map (f : α → β) :
∀ (l : list α), map_witness l (λ x _, f x) = map f l
| [] := rfl
| (x :: xs) := by { simp [map_witness], from map_witness_to_map xs }
@[simp]
lemma map_witness_id (l : list α) : map_witness l (λ x _, x) = l := begin
have h : (λ (x : α), x) = id := rfl,
rw [map_witness_to_map _ l, h],
simp
end
@[simp]
lemma map_witness_map :
∀ (l : list α) (f : (Π x ∈ l, β)) (g : β → γ)
, map g (map_witness l f) = map_witness l (λ a mem, g (f a mem))
| [] _ _ := rfl
| (x :: xs) f g := by { simp [map_witness, map], from map_witness_map xs _ g }
lemma map_witness_length :
∀ (l : list α) (f : (Π x ∈ l, β))
, length (map_witness l f) = length l
| [] _ := rfl
| (x :: xs) f := by { unfold map_witness length, rw map_witness_length xs }
end list
|
807dfde734e4b0b5279046a42b9fe030c8aa0072 | 1b8f093752ba748c5ca0083afef2959aaa7dace5 | /src/category_theory/limits/equalizers.lean | b6e132adbb2c3bbb3348d8280d87095b8bf02641 | [] | no_license | khoek/lean-category-theory | 7ec4cda9cc64a5a4ffeb84712ac7d020dbbba386 | 63dcb598e9270a3e8b56d1769eb4f825a177cd95 | refs/heads/master | 1,585,251,725,759 | 1,539,344,445,000 | 1,539,344,445,000 | 145,281,070 | 0 | 0 | null | 1,534,662,376,000 | 1,534,662,376,000 | null | UTF-8 | Lean | false | false | 5,083 | lean | -- Copyright (c) 2018 Scott Morrison. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Scott Morrison, Reid Barton, Mario Carneiro
import category_theory.limits.shape
import category_theory.filtered
open category_theory
namespace category_theory.limits
universes u v w
variables {C : Type u} [𝒞 : category.{u v} C]
include 𝒞
section equalizer
variables {Y Z : C}
structure is_equalizer {f g : Y ⟶ Z} (t : fork f g) :=
(lift : ∀ (s : fork f g), s.X ⟶ t.X)
(fac : ∀ (s : fork f g), (lift s) ≫ t.ι = s.ι . obviously)
(uniq : ∀ (s : fork f g) (m : s.X ⟶ t.X) (w : m ≫ t.ι = s.ι), m = lift s . obviously)
restate_axiom is_equalizer.fac
attribute [simp,search] is_equalizer.fac_lemma
restate_axiom is_equalizer.uniq
attribute [search, back'] is_equalizer.uniq_lemma
@[extensionality] lemma is_equalizer.ext {f g : Y ⟶ Z} {t : fork f g} (P Q : is_equalizer t) : P = Q :=
begin cases P, cases Q, obviously end
lemma is_equalizer.mono {f g : Y ⟶ Z} {t : fork f g} (h : is_equalizer t) : mono (t.ι) :=
{ right_cancellation := λ X' k l w, begin
let s : fork f g := { X := X', ι := k ≫ t.ι },
have uniq_k := h.uniq s k (by obviously),
have uniq_l := h.uniq s l (by obviously),
obviously,
end }
lemma is_equalizer.univ {f g : Y ⟶ Z} {t : fork f g} (h : is_equalizer t) (s : fork f g) (φ : s.X ⟶ t.X) : (φ ≫ t.ι = s.ι) ↔ (φ = h.lift s) :=
begin
obviously
end
def is_equalizer.of_lift_univ {f g : Y ⟶ Z} {t : fork f g}
(lift : Π (s : fork f g), s.X ⟶ t.X)
(univ : Π (s : fork f g) (φ : s.X ⟶ t.X), (φ ≫ t.ι = s.ι) ↔ (φ = lift s)) : is_equalizer t :=
{ lift := lift,
fac := λ s, ((univ s (lift s)).mpr (eq.refl (lift s))),
uniq := begin obviously, apply univ_s_m.mp, obviously, end }
end equalizer
section coequalizer
variables {Y Z : C}
structure is_coequalizer {f g : Z ⟶ Y} (t : cofork f g) :=
(desc : ∀ (s : cofork f g), t.X ⟶ s.X)
(fac : ∀ (s : cofork f g), t.π ≫ (desc s) = s.π . obviously)
(uniq : ∀ (s : cofork f g) (m : t.X ⟶ s.X) (w : t.π ≫ m = s.π), m = desc s . obviously)
restate_axiom is_coequalizer.fac
attribute [simp,search] is_coequalizer.fac_lemma
restate_axiom is_coequalizer.uniq
attribute [search, back'] is_coequalizer.uniq_lemma
@[extensionality] lemma is_coequalizer.ext {f g : Z ⟶ Y} {t : cofork f g} (P Q : is_coequalizer t) : P = Q :=
begin cases P, cases Q, obviously end
lemma is_coequalizer.epi {f g : Z ⟶ Y} {t : cofork f g} (h : is_coequalizer t) : epi (t.π) :=
{ left_cancellation := λ X' k l w, begin
let s : cofork f g := { X := X', π := t.π ≫ k },
have uniq_k := h.uniq s k (by obviously),
have uniq_l := h.uniq s l (by obviously),
obviously,
end }
lemma is_coequalizer.univ {f g : Z ⟶ Y} {t : cofork f g} (h : is_coequalizer t) (s : cofork f g) (φ : t.X ⟶ s.X) : (t.π ≫ φ = s.π) ↔ (φ = h.desc s) :=
begin
obviously
end
def is_coequalizer.of_desc_univ {f g : Z ⟶ Y} {t : cofork f g}
(desc : Π (s : cofork f g), t.X ⟶ s.X)
(univ : Π (s : cofork f g) (φ : t.X ⟶ s.X), (t.π ≫ φ = s.π) ↔ (φ = desc s)) : is_coequalizer t :=
{ desc := desc,
fac := λ s, ((univ s (desc s)).mpr (eq.refl (desc s))),
uniq := begin obviously, apply univ_s_m.mp, obviously, end }
end coequalizer
variable (C)
class has_equalizers :=
(equalizer : Π {Y Z : C} (f g : Y ⟶ Z), fork f g)
(is_equalizer : Π {Y Z : C} (f g : Y ⟶ Z), is_equalizer (equalizer f g) . obviously)
class has_coequalizers :=
(coequalizer : Π {Y Z : C} (f g : Y ⟶ Z), cofork f g)
(is_coequalizer : Π {Y Z : C} (f g : Y ⟶ Z), is_coequalizer (coequalizer f g) . obviously)
variable {C}
section
variables [has_equalizers.{u v} C] {Y Z : C} (f g : Y ⟶ Z)
def equalizer.fork := has_equalizers.equalizer.{u v} f g
def equalizer := (equalizer.fork f g).X
def equalizer.ι : (equalizer f g) ⟶ Y := (equalizer.fork f g).ι
@[search] def equalizer.w : (equalizer.ι f g) ≫ f = (equalizer.ι f g) ≫ g := (equalizer.fork f g).w
def equalizer.universal_property : is_equalizer (equalizer.fork f g) := has_equalizers.is_equalizer.{u v} C f g
def equalizer.lift (P : C) (h : P ⟶ Y) (w : h ≫ f = h ≫ g) : P ⟶ equalizer f g :=
(equalizer.universal_property f g).lift { X := P, ι := h, w := w }
@[extensionality] lemma equalizer.hom_ext {Y Z : C} {f g : Y ⟶ Z} {X : C} (h k : X ⟶ equalizer f g) (w : h ≫ equalizer.ι f g = k ≫ equalizer.ι f g) : h = k :=
begin
let s : fork f g := ⟨ ⟨ X ⟩, h ≫ equalizer.ι f g ⟩,
have q := (equalizer.universal_property f g).uniq s h,
have p := (equalizer.universal_property f g).uniq s k,
rw [q, ←p],
solve_by_elim, refl
end
end
end category_theory.limits
|
f78e247e3bd6c0a60b5c7b1c024b26e68948371c | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/algebra/pointwise.lean | d822962a0d6450c5ec5290cefe14ccd795c13750 | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 30,525 | lean | /-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Floris van Doorn
-/
import algebra.module.basic
import data.set.finite
import group_theory.submonoid.basic
/-!
# Pointwise addition, multiplication, and scalar multiplication of sets.
This file defines pointwise algebraic operations on sets.
* For a type `α` with multiplication, multiplication is defined on `set α` by taking
`s * t` to be the set of all `x * y` where `x ∈ s` and `y ∈ t`. Similarly for addition.
* For `α` a semigroup, `set α` is a semigroup.
* If `α` is a (commutative) monoid, we define an alias `set_semiring α` for `set α`, which then
becomes a (commutative) semiring with union as addition and pointwise multiplication as
multiplication.
* For a type `β` with scalar multiplication by another type `α`, this
file defines a scalar multiplication of `set β` by `set α` and a separate scalar
multiplication of `set β` by `α`.
* We also define pointwise multiplication on `finset`.
Appropriate definitions and results are also transported to the additive theory via `to_additive`.
## Implementation notes
* The following expressions are considered in simp-normal form in a group:
`(λ h, h * g) ⁻¹' s`, `(λ h, g * h) ⁻¹' s`, `(λ h, h * g⁻¹) ⁻¹' s`, `(λ h, g⁻¹ * h) ⁻¹' s`,
`s * t`, `s⁻¹`, `(1 : set _)` (and similarly for additive variants).
Expressions equal to one of these will be simplified.
* We put all instances in the locale `pointwise`, so that these instances are not available by
default. Note that we do not mark them as reducible (as argued by note [reducible non-instances])
since we expect the locale to be open whenever the instances are actually used (and making the
instances reducible changes the behavior of `simp`).
## Tags
set multiplication, set addition, pointwise addition, pointwise multiplication
-/
namespace set
open function
variables {α : Type*} {β : Type*} {s s₁ s₂ t t₁ t₂ u : set α} {a b : α} {x y : β}
/-! ### Properties about 1 -/
/-- The set `(1 : set α)` is defined as `{1}` in locale `pointwise`. -/
@[to_additive
/-"The set `(0 : set α)` is defined as `{0}` in locale `pointwise`. "-/]
protected def has_one [has_one α] : has_one (set α) := ⟨{1}⟩
localized "attribute [instance] set.has_one set.has_zero" in pointwise
@[to_additive]
lemma singleton_one [has_one α] : ({1} : set α) = 1 := rfl
@[simp, to_additive]
lemma mem_one [has_one α] : a ∈ (1 : set α) ↔ a = 1 := iff.rfl
@[to_additive]
lemma one_mem_one [has_one α] : (1 : α) ∈ (1 : set α) := eq.refl _
@[simp, to_additive]
theorem one_subset [has_one α] : 1 ⊆ s ↔ (1 : α) ∈ s := singleton_subset_iff
@[to_additive]
theorem one_nonempty [has_one α] : (1 : set α).nonempty := ⟨1, rfl⟩
@[simp, to_additive]
theorem image_one [has_one α] {f : α → β} : f '' 1 = {f 1} := image_singleton
/-! ### Properties about multiplication -/
/-- The set `(s * t : set α)` is defined as `{x * y | x ∈ s, y ∈ t}` in locale `pointwise`. -/
@[to_additive
/-" The set `(s + t : set α)` is defined as `{x + y | x ∈ s, y ∈ t}` in locale `pointwise`."-/]
protected def has_mul [has_mul α] : has_mul (set α) := ⟨image2 has_mul.mul⟩
localized "attribute [instance] set.has_mul set.has_add" in pointwise
@[simp, to_additive]
lemma image2_mul [has_mul α] : image2 has_mul.mul s t = s * t := rfl
@[to_additive]
lemma mem_mul [has_mul α] : a ∈ s * t ↔ ∃ x y, x ∈ s ∧ y ∈ t ∧ x * y = a := iff.rfl
@[to_additive]
lemma mul_mem_mul [has_mul α] (ha : a ∈ s) (hb : b ∈ t) : a * b ∈ s * t := mem_image2_of_mem ha hb
@[to_additive add_image_prod]
lemma image_mul_prod [has_mul α] : (λ x : α × α, x.fst * x.snd) '' s.prod t = s * t := image_prod _
@[simp, to_additive]
lemma image_mul_left [group α] : (λ b, a * b) '' t = (λ b, a⁻¹ * b) ⁻¹' t :=
by { rw image_eq_preimage_of_inverse; intro c; simp }
@[simp, to_additive]
lemma image_mul_right [group α] : (λ a, a * b) '' t = (λ a, a * b⁻¹) ⁻¹' t :=
by { rw image_eq_preimage_of_inverse; intro c; simp }
@[to_additive]
lemma image_mul_left' [group α] : (λ b, a⁻¹ * b) '' t = (λ b, a * b) ⁻¹' t := by simp
@[to_additive]
lemma image_mul_right' [group α] : (λ a, a * b⁻¹) '' t = (λ a, a * b) ⁻¹' t := by simp
@[simp, to_additive]
lemma preimage_mul_left_singleton [group α] : ((*) a) ⁻¹' {b} = {a⁻¹ * b} :=
by rw [← image_mul_left', image_singleton]
@[simp, to_additive]
lemma preimage_mul_right_singleton [group α] : (* a) ⁻¹' {b} = {b * a⁻¹} :=
by rw [← image_mul_right', image_singleton]
@[simp, to_additive]
lemma preimage_mul_left_one [group α] : (λ b, a * b) ⁻¹' 1 = {a⁻¹} :=
by rw [← image_mul_left', image_one, mul_one]
@[simp, to_additive]
lemma preimage_mul_right_one [group α] : (λ a, a * b) ⁻¹' 1 = {b⁻¹} :=
by rw [← image_mul_right', image_one, one_mul]
@[to_additive]
lemma preimage_mul_left_one' [group α] : (λ b, a⁻¹ * b) ⁻¹' 1 = {a} := by simp
@[to_additive]
lemma preimage_mul_right_one' [group α] : (λ a, a * b⁻¹) ⁻¹' 1 = {b} := by simp
@[simp, to_additive]
lemma mul_singleton [has_mul α] : s * {b} = (λ a, a * b) '' s := image2_singleton_right
@[simp, to_additive]
lemma singleton_mul [has_mul α] : {a} * t = (λ b, a * b) '' t := image2_singleton_left
@[simp, to_additive]
lemma singleton_mul_singleton [has_mul α] : ({a} : set α) * {b} = {a * b} := image2_singleton
@[to_additive]
protected lemma mul_comm [comm_semigroup α] : s * t = t * s :=
by simp only [← image2_mul, image2_swap _ s, mul_comm]
/-- `set α` is a `mul_one_class` under pointwise operations if `α` is. -/
@[to_additive /-"`set α` is an `add_zero_class` under pointwise operations if `α` is."-/]
protected def mul_one_class [mul_one_class α] : mul_one_class (set α) :=
{ mul_one := λ s, by { simp only [← singleton_one, mul_singleton, mul_one, image_id'] },
one_mul := λ s, by { simp only [← singleton_one, singleton_mul, one_mul, image_id'] },
..set.has_one, ..set.has_mul }
/-- `set α` is a `semigroup` under pointwise operations if `α` is. -/
@[to_additive /-"`set α` is an `add_semigroup` under pointwise operations if `α` is. "-/]
protected def semigroup [semigroup α] : semigroup (set α) :=
{ mul_assoc := λ _ _ _, image2_assoc mul_assoc,
..set.has_mul }
/-- `set α` is a `monoid` under pointwise operations if `α` is. -/
@[to_additive /-"`set α` is an `add_monoid` under pointwise operations if `α` is. "-/]
protected def monoid [monoid α] : monoid (set α) :=
{ ..set.semigroup,
..set.mul_one_class }
/-- `set α` is a `comm_monoid` under pointwise operations if `α` is. -/
@[to_additive /-"`set α` is an `add_comm_monoid` under pointwise operations if `α` is. "-/]
protected def comm_monoid [comm_monoid α] : comm_monoid (set α) :=
{ mul_comm := λ _ _, set.mul_comm, ..set.monoid }
localized "attribute [instance] set.mul_one_class set.add_zero_class set.semigroup set.add_semigroup
set.monoid set.add_monoid set.comm_monoid set.add_comm_monoid" in pointwise
lemma pow_mem_pow [monoid α] (ha : a ∈ s) (n : ℕ) :
a ^ n ∈ s ^ n :=
begin
induction n with n ih,
{ rw pow_zero,
exact set.mem_singleton 1 },
{ rw pow_succ,
exact set.mul_mem_mul ha ih },
end
/-- Under `[has_mul M]`, the `singleton` map from `M` to `set M` as a `mul_hom`, that is, a map
which preserves multiplication. -/
@[to_additive "Under `[has_add A]`, the `singleton` map from `A` to `set A` as an `add_hom`,
that is, a map which preserves addition.", simps]
def singleton_mul_hom [has_mul α] : mul_hom α (set α) :=
{ to_fun := singleton,
map_mul' := λ a b, singleton_mul_singleton.symm }
@[simp, to_additive]
lemma empty_mul [has_mul α] : ∅ * s = ∅ := image2_empty_left
@[simp, to_additive]
lemma mul_empty [has_mul α] : s * ∅ = ∅ := image2_empty_right
lemma empty_pow [monoid α] (n : ℕ) (hn : n ≠ 0) : (∅ : set α) ^ n = ∅ :=
by rw [←nat.sub_add_cancel (nat.pos_of_ne_zero hn), pow_succ, empty_mul]
instance decidable_mem_mul [monoid α] [fintype α] [decidable_eq α]
[decidable_pred (∈ s)] [decidable_pred (∈ t)] :
decidable_pred (∈ s * t) :=
λ _, decidable_of_iff _ mem_mul.symm
instance decidable_mem_pow [monoid α] [fintype α] [decidable_eq α]
[decidable_pred (∈ s)] (n : ℕ) :
decidable_pred (∈ (s ^ n)) :=
begin
induction n with n ih,
{ simp_rw [pow_zero, mem_one], apply_instance },
{ letI := ih, rw pow_succ, apply_instance }
end
@[to_additive]
lemma mul_subset_mul [has_mul α] (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) : s₁ * s₂ ⊆ t₁ * t₂ :=
image2_subset h₁ h₂
lemma pow_subset_pow [monoid α] (hst : s ⊆ t) (n : ℕ) :
s ^ n ⊆ t ^ n :=
begin
induction n with n ih,
{ rw pow_zero,
exact subset.rfl },
{ rw [pow_succ, pow_succ],
exact mul_subset_mul hst ih },
end
@[to_additive]
lemma union_mul [has_mul α] : (s ∪ t) * u = (s * u) ∪ (t * u) := image2_union_left
@[to_additive]
lemma mul_union [has_mul α] : s * (t ∪ u) = (s * t) ∪ (s * u) := image2_union_right
@[to_additive]
lemma Union_mul_left_image [has_mul α] : (⋃ a ∈ s, (λ x, a * x) '' t) = s * t :=
Union_image_left _
@[to_additive]
lemma Union_mul_right_image [has_mul α] : (⋃ a ∈ t, (λ x, x * a) '' s) = s * t :=
Union_image_right _
@[simp, to_additive]
lemma univ_mul_univ [monoid α] : (univ : set α) * univ = univ :=
begin
have : ∀x, ∃a b : α, a * b = x := λx, ⟨x, ⟨1, mul_one x⟩⟩,
simpa only [mem_mul, eq_univ_iff_forall, mem_univ, true_and]
end
/-- `singleton` is a monoid hom. -/
@[to_additive singleton_add_hom "singleton is an add monoid hom"]
def singleton_hom [monoid α] : α →* set α :=
{ to_fun := singleton, map_one' := rfl, map_mul' := λ a b, singleton_mul_singleton.symm }
@[to_additive]
lemma nonempty.mul [has_mul α] : s.nonempty → t.nonempty → (s * t).nonempty := nonempty.image2
@[to_additive]
lemma finite.mul [has_mul α] (hs : finite s) (ht : finite t) : finite (s * t) :=
hs.image2 _ ht
/-- multiplication preserves finiteness -/
@[to_additive "addition preserves finiteness"]
def fintype_mul [has_mul α] [decidable_eq α] (s t : set α) [hs : fintype s] [ht : fintype t] :
fintype (s * t : set α) :=
set.fintype_image2 _ s t
@[to_additive]
lemma bdd_above_mul [ordered_comm_monoid α] {A B : set α} :
bdd_above A → bdd_above B → bdd_above (A * B) :=
begin
rintros ⟨bA, hbA⟩ ⟨bB, hbB⟩,
use bA * bB,
rintros x ⟨xa, xb, hxa, hxb, rfl⟩,
exact mul_le_mul' (hbA hxa) (hbB hxb),
end
section big_operators
open_locale big_operators
variables {ι : Type*} [comm_monoid α]
/-- The n-ary version of `set.mem_mul`. -/
@[to_additive /-" The n-ary version of `set.mem_add`. "-/]
lemma mem_finset_prod (t : finset ι) (f : ι → set α) (a : α) :
a ∈ ∏ i in t, f i ↔ ∃ (g : ι → α) (hg : ∀ {i}, i ∈ t → g i ∈ f i), ∏ i in t, g i = a :=
begin
classical,
induction t using finset.induction_on with i is hi ih generalizing a,
{ simp_rw [finset.prod_empty, set.mem_one],
exact ⟨λ h, ⟨λ i, a, λ i, false.elim, h.symm⟩, λ ⟨f, _, hf⟩, hf.symm⟩ },
rw [finset.prod_insert hi, set.mem_mul],
simp_rw [finset.prod_insert hi],
simp_rw ih,
split,
{ rintros ⟨x, y, hx, ⟨g, hg, rfl⟩, rfl⟩,
refine ⟨function.update g i x, λ j hj, _, _⟩,
obtain rfl | hj := finset.mem_insert.mp hj,
{ rw function.update_same, exact hx },
{ rw update_noteq (ne_of_mem_of_not_mem hj hi), exact hg hj, },
rw [finset.prod_update_of_not_mem hi, function.update_same], },
{ rintros ⟨g, hg, rfl⟩,
exact ⟨g i, is.prod g, hg (is.mem_insert_self _),
⟨g, λ i hi, hg (finset.mem_insert_of_mem hi), rfl⟩, rfl⟩ },
end
/-- A version of `set.mem_finset_prod` with a simpler RHS for products over a fintype. -/
@[to_additive /-" A version of `set.mem_finset_sum` with a simpler RHS for sums over a fintype. "-/]
lemma mem_fintype_prod [fintype ι] (f : ι → set α) (a : α) :
a ∈ ∏ i, f i ↔ ∃ (g : ι → α) (hg : ∀ i, g i ∈ f i), ∏ i, g i = a :=
by { rw mem_finset_prod, simp }
/-- The n-ary version of `set.mul_mem_mul`. -/
@[to_additive /-" The n-ary version of `set.add_mem_add`. "-/]
lemma finset_prod_mem_finset_prod (t : finset ι) (f : ι → set α)
(g : ι → α) (hg : ∀ i ∈ t, g i ∈ f i) :
∏ i in t, g i ∈ ∏ i in t, f i :=
by { rw mem_finset_prod, exact ⟨g, hg, rfl⟩ }
/-- The n-ary version of `set.mul_subset_mul`. -/
@[to_additive /-" The n-ary version of `set.add_subset_add`. "-/]
lemma finset_prod_subset_finset_prod (t : finset ι) (f₁ f₂ : ι → set α)
(hf : ∀ {i}, i ∈ t → f₁ i ⊆ f₂ i) :
∏ i in t, f₁ i ⊆ ∏ i in t, f₂ i :=
begin
intro a,
rw [mem_finset_prod, mem_finset_prod],
rintro ⟨g, hg, rfl⟩,
exact ⟨g, λ i hi, hf hi $ hg hi, rfl⟩
end
/-! TODO: define `decidable_mem_finset_prod` and `decidable_mem_finset_sum`. -/
end big_operators
/-! ### Properties about inversion -/
/-- The set `(s⁻¹ : set α)` is defined as `{x | x⁻¹ ∈ s}` in locale `pointwise`.
It is equal to `{x⁻¹ | x ∈ s}`, see `set.image_inv`. -/
@[to_additive
/-" The set `(-s : set α)` is defined as `{x | -x ∈ s}` in locale `pointwise`.
It is equal to `{-x | x ∈ s}`, see `set.image_neg`. "-/]
protected def has_inv [has_inv α] : has_inv (set α) :=
⟨preimage has_inv.inv⟩
localized "attribute [instance] set.has_inv set.has_neg" in pointwise
@[simp, to_additive]
lemma inv_empty [has_inv α] : (∅ : set α)⁻¹ = ∅ := rfl
@[simp, to_additive]
lemma inv_univ [has_inv α] : (univ : set α)⁻¹ = univ := rfl
@[simp, to_additive]
lemma nonempty_inv [group α] {s : set α} : s⁻¹.nonempty ↔ s.nonempty :=
inv_involutive.surjective.nonempty_preimage
@[to_additive] lemma nonempty.inv [group α] {s : set α} (h : s.nonempty) : s⁻¹.nonempty :=
nonempty_inv.2 h
@[simp, to_additive]
lemma mem_inv [has_inv α] : a ∈ s⁻¹ ↔ a⁻¹ ∈ s := iff.rfl
@[to_additive]
lemma inv_mem_inv [group α] : a⁻¹ ∈ s⁻¹ ↔ a ∈ s :=
by simp only [mem_inv, inv_inv]
@[simp, to_additive]
lemma inv_preimage [has_inv α] : has_inv.inv ⁻¹' s = s⁻¹ := rfl
@[simp, to_additive]
lemma image_inv [group α] : has_inv.inv '' s = s⁻¹ :=
by { simp only [← inv_preimage], rw [image_eq_preimage_of_inverse]; intro; simp only [inv_inv] }
@[simp, to_additive]
lemma inter_inv [has_inv α] : (s ∩ t)⁻¹ = s⁻¹ ∩ t⁻¹ := preimage_inter
@[simp, to_additive]
lemma union_inv [has_inv α] : (s ∪ t)⁻¹ = s⁻¹ ∪ t⁻¹ := preimage_union
@[simp, to_additive]
lemma compl_inv [has_inv α] : (sᶜ)⁻¹ = (s⁻¹)ᶜ := preimage_compl
@[simp, to_additive]
protected lemma inv_inv [group α] : s⁻¹⁻¹ = s :=
by { simp only [← inv_preimage, preimage_preimage, inv_inv, preimage_id'] }
@[simp, to_additive]
protected lemma univ_inv [group α] : (univ : set α)⁻¹ = univ := preimage_univ
@[simp, to_additive]
lemma inv_subset_inv [group α] {s t : set α} : s⁻¹ ⊆ t⁻¹ ↔ s ⊆ t :=
(equiv.inv α).surjective.preimage_subset_preimage_iff
@[to_additive] lemma inv_subset [group α] {s t : set α} : s⁻¹ ⊆ t ↔ s ⊆ t⁻¹ :=
by { rw [← inv_subset_inv, set.inv_inv] }
@[to_additive] lemma finite.inv [group α] {s : set α} (hs : finite s) : finite s⁻¹ :=
hs.preimage $ inv_injective.inj_on _
/-! ### Properties about scalar multiplication -/
/-- The scaling of a set `(x • s : set β)` by a scalar `x ∶ α` is defined as `{x • y | y ∈ s}`
in locale `pointwise`. -/
protected def has_scalar_set [has_scalar α β] : has_scalar α (set β) :=
⟨λ a, image (has_scalar.smul a)⟩
/-- The pointwise scalar multiplication `(s • t : set β)` by a set of scalars `s ∶ set α`
is defined as `{x • y | x ∈ s, y ∈ t}` in locale `pointwise`. -/
protected def has_scalar [has_scalar α β] : has_scalar (set α) (set β) :=
⟨image2 has_scalar.smul⟩
localized "attribute [instance] set.has_scalar_set set.has_scalar" in pointwise
@[simp]
lemma image_smul [has_scalar α β] {t : set β} : (λ x, a • x) '' t = a • t := rfl
lemma mem_smul_set [has_scalar α β] {t : set β} : x ∈ a • t ↔ ∃ y, y ∈ t ∧ a • y = x := iff.rfl
lemma smul_mem_smul_set [has_scalar α β] {t : set β} (hy : y ∈ t) : a • y ∈ a • t :=
⟨y, hy, rfl⟩
lemma smul_set_union [has_scalar α β] {s t : set β} : a • (s ∪ t) = a • s ∪ a • t :=
by simp only [← image_smul, image_union]
@[simp]
lemma smul_set_empty [has_scalar α β] (a : α) : a • (∅ : set β) = ∅ :=
by rw [← image_smul, image_empty]
lemma smul_set_mono [has_scalar α β] {s t : set β} (h : s ⊆ t) : a • s ⊆ a • t :=
by { simp only [← image_smul, image_subset, h] }
@[simp]
lemma image2_smul [has_scalar α β] {t : set β} : image2 has_scalar.smul s t = s • t := rfl
lemma mem_smul [has_scalar α β] {t : set β} : x ∈ s • t ↔ ∃ a y, a ∈ s ∧ y ∈ t ∧ a • y = x :=
iff.rfl
lemma image_smul_prod [has_scalar α β] {t : set β} :
(λ x : α × β, x.fst • x.snd) '' s.prod t = s • t :=
image_prod _
theorem range_smul_range [has_scalar α β] {ι κ : Type*} (b : ι → α) (c : κ → β) :
range b • range c = range (λ p : ι × κ, b p.1 • c p.2) :=
ext $ λ x, ⟨λ hx, let ⟨p, q, ⟨i, hi⟩, ⟨j, hj⟩, hpq⟩ := set.mem_smul.1 hx in
⟨(i, j), hpq ▸ hi ▸ hj ▸ rfl⟩,
λ ⟨⟨i, j⟩, h⟩, set.mem_smul.2 ⟨b i, c j, ⟨i, rfl⟩, ⟨j, rfl⟩, h⟩⟩
lemma singleton_smul [has_scalar α β] {t : set β} : ({a} : set α) • t = a • t :=
image2_singleton_left
instance smul_comm_class_set {γ : Type*}
[has_scalar α γ] [has_scalar β γ] [smul_comm_class α β γ] :
smul_comm_class α (set β) (set γ) :=
{ smul_comm := λ a T T',
by simp only [←image2_smul, ←image_smul, image2_image_right, image_image2, smul_comm] }
instance smul_comm_class_set' {γ : Type*}
[has_scalar α γ] [has_scalar β γ] [smul_comm_class α β γ] :
smul_comm_class (set α) β (set γ) :=
by haveI := smul_comm_class.symm α β γ; exact smul_comm_class.symm _ _ _
instance smul_comm_class {γ : Type*}
[has_scalar α γ] [has_scalar β γ] [smul_comm_class α β γ] :
smul_comm_class (set α) (set β) (set γ) :=
{ smul_comm := λ T T' T'', begin
simp only [←image2_smul, image2_swap _ T],
exact image2_assoc (λ b c a, smul_comm a b c),
end }
instance is_scalar_tower {γ : Type*}
[has_scalar α β] [has_scalar α γ] [has_scalar β γ] [is_scalar_tower α β γ] :
is_scalar_tower α β (set γ) :=
{ smul_assoc := λ a b T, by simp only [←image_smul, image_image, smul_assoc] }
instance is_scalar_tower' {γ : Type*}
[has_scalar α β] [has_scalar α γ] [has_scalar β γ] [is_scalar_tower α β γ] :
is_scalar_tower α (set β) (set γ) :=
{ smul_assoc := λ a T T',
by simp only [←image_smul, ←image2_smul, image_image2, image2_image_left, smul_assoc] }
instance is_scalar_tower'' {γ : Type*}
[has_scalar α β] [has_scalar α γ] [has_scalar β γ] [is_scalar_tower α β γ] :
is_scalar_tower (set α) (set β) (set γ) :=
{ smul_assoc := λ T T' T'', image2_assoc smul_assoc }
section monoid
/-! ### `set α` as a `(∪,*)`-semiring -/
/-- An alias for `set α`, which has a semiring structure given by `∪` as "addition" and pointwise
multiplication `*` as "multiplication". -/
@[derive inhabited] def set_semiring (α : Type*) : Type* := set α
/-- The identitiy function `set α → set_semiring α`. -/
protected def up (s : set α) : set_semiring α := s
/-- The identitiy function `set_semiring α → set α`. -/
protected def set_semiring.down (s : set_semiring α) : set α := s
@[simp] protected lemma down_up {s : set α} : s.up.down = s := rfl
@[simp] protected lemma up_down {s : set_semiring α} : s.down.up = s := rfl
instance set_semiring.add_comm_monoid : add_comm_monoid (set_semiring α) :=
{ add := λ s t, (s ∪ t : set α),
zero := (∅ : set α),
add_assoc := union_assoc,
zero_add := empty_union,
add_zero := union_empty,
add_comm := union_comm, }
instance set_semiring.non_unital_non_assoc_semiring [has_mul α] :
non_unital_non_assoc_semiring (set_semiring α) :=
{ zero_mul := λ s, empty_mul,
mul_zero := λ s, mul_empty,
left_distrib := λ _ _ _, mul_union,
right_distrib := λ _ _ _, union_mul,
..set.has_mul, ..set_semiring.add_comm_monoid }
instance set_semiring.non_assoc_semiring [mul_one_class α] : non_assoc_semiring (set_semiring α) :=
{ ..set_semiring.non_unital_non_assoc_semiring, ..set.mul_one_class }
instance set_semiring.non_unital_semiring [semigroup α] : non_unital_semiring (set_semiring α) :=
{ ..set_semiring.non_unital_non_assoc_semiring, ..set.semigroup }
instance set_semiring.semiring [monoid α] : semiring (set_semiring α) :=
{ ..set_semiring.non_assoc_semiring, ..set_semiring.non_unital_semiring }
instance set_semiring.comm_semiring [comm_monoid α] : comm_semiring (set_semiring α) :=
{ ..set.comm_monoid, ..set_semiring.semiring }
/-- A multiplicative action of a monoid on a type β gives also a
multiplicative action on the subsets of β. -/
protected def mul_action_set [monoid α] [mul_action α β] : mul_action α (set β) :=
{ mul_smul := by { intros, simp only [← image_smul, image_image, ← mul_smul] },
one_smul := by { intros, simp only [← image_smul, image_eta, one_smul, image_id'] },
..set.has_scalar_set }
localized "attribute [instance] set.mul_action_set" in pointwise
section mul_hom
variables [has_mul α] [has_mul β] (m : mul_hom α β)
@[to_additive]
lemma image_mul : m '' (s * t) = m '' s * m '' t :=
by { simp only [← image2_mul, image_image2, image2_image_left, image2_image_right, m.map_mul] }
@[to_additive]
lemma preimage_mul_preimage_subset {s t : set β} : m ⁻¹' s * m ⁻¹' t ⊆ m ⁻¹' (s * t) :=
by { rintros _ ⟨_, _, _, _, rfl⟩, exact ⟨_, _, ‹_›, ‹_›, (m.map_mul _ _).symm ⟩ }
end mul_hom
/-- The image of a set under function is a ring homomorphism
with respect to the pointwise operations on sets. -/
def image_hom [monoid α] [monoid β] (f : α →* β) : set_semiring α →+* set_semiring β :=
{ to_fun := image f,
map_zero' := image_empty _,
map_one' := by simp only [← singleton_one, image_singleton, f.map_one],
map_add' := image_union _,
map_mul' := λ _ _, image_mul f.to_mul_hom }
end monoid
end set
open set
open_locale pointwise
section
variables {α : Type*} {β : Type*}
/-- A nonempty set in a module is scaled by zero to the singleton
containing 0 in the module. -/
lemma zero_smul_set [semiring α] [add_comm_monoid β] [module α β] {s : set β} (h : s.nonempty) :
(0 : α) • s = (0 : set β) :=
by simp only [← image_smul, image_eta, zero_smul, h.image_const, singleton_zero]
lemma mem_inv_smul_set_iff [group_with_zero α] [mul_action α β] {a : α} (ha : a ≠ 0) (A : set β)
(x : β) : x ∈ a⁻¹ • A ↔ a • x ∈ A :=
by simp only [← image_smul, mem_image, inv_smul_eq_iff' ha, exists_eq_right]
lemma mem_smul_set_iff_inv_smul_mem [group_with_zero α] [mul_action α β] {a : α} (ha : a ≠ 0)
(A : set β) (x : β) : x ∈ a • A ↔ a⁻¹ • x ∈ A :=
by rw [← mem_inv_smul_set_iff $ inv_ne_zero ha, inv_inv']
lemma preimage_smul [group α] [mul_action α β] (a : α) (t : set β) : (λ x, a • x) ⁻¹' t = a⁻¹ • t :=
((mul_action.to_perm a).symm.image_eq_preimage _).symm
lemma preimage_smul' [group_with_zero α] [mul_action α β] {a : α} (ha : a ≠ 0) (t : set β) :
(λ x, a • x) ⁻¹' t = a⁻¹ • t :=
preimage_smul (units.mk0 a ha) t
end
namespace finset
variables {α : Type*} [decidable_eq α]
/-- The pointwise product of two finite sets `s` and `t`:
`st = s ⬝ t = s * t = { x * y | x ∈ s, y ∈ t }`. -/
@[to_additive /-"The pointwise sum of two finite sets `s` and `t`:
`s + t = { x + y | x ∈ s, y ∈ t }`. "-/]
protected def has_mul [has_mul α] : has_mul (finset α) :=
⟨λ s t, (s.product t).image (λ p : α × α, p.1 * p.2)⟩
localized "attribute [instance] finset.has_mul finset.has_add" in pointwise
@[to_additive]
lemma mul_def [has_mul α] {s t : finset α} :
s * t = (s.product t).image (λ p : α × α, p.1 * p.2) := rfl
@[to_additive]
lemma mem_mul [has_mul α] {s t : finset α} {x : α} :
x ∈ s * t ↔ ∃ y z, y ∈ s ∧ z ∈ t ∧ y * z = x :=
by { simp only [finset.mul_def, and.assoc, mem_image, exists_prop, prod.exists, mem_product] }
@[simp, norm_cast, to_additive]
lemma coe_mul [has_mul α] {s t : finset α} : (↑(s * t) : set α) = ↑s * ↑t :=
by { ext, simp only [mem_mul, set.mem_mul, mem_coe] }
@[to_additive]
lemma mul_mem_mul [has_mul α] {s t : finset α} {x y : α} (hx : x ∈ s) (hy : y ∈ t) :
x * y ∈ s * t :=
by { simp only [finset.mem_mul], exact ⟨x, y, hx, hy, rfl⟩ }
@[to_additive]
lemma mul_card_le [has_mul α] {s t : finset α} : (s * t).card ≤ s.card * t.card :=
by { convert finset.card_image_le, rw [finset.card_product, mul_comm] }
open_locale classical
/-- A finite set `U` contained in the product of two sets `S * S'` is also contained in the product
of two finite sets `T * T' ⊆ S * S'`. -/
@[to_additive]
lemma subset_mul {M : Type*} [monoid M] {S : set M} {S' : set M} {U : finset M} (f : ↑U ⊆ S * S') :
∃ (T T' : finset M), ↑T ⊆ S ∧ ↑T' ⊆ S' ∧ U ⊆ T * T' :=
begin
apply finset.induction_on' U,
{ use [∅, ∅], simp only [finset.empty_subset, finset.coe_empty, set.empty_subset, and_self], },
rintros a s haU hs has ⟨T, T', hS, hS', h⟩,
obtain ⟨x, y, hx, hy, ha⟩ := set.mem_mul.1 (f haU),
use [insert x T, insert y T'],
simp only [finset.coe_insert],
repeat { rw [set.insert_subset], },
use [hx, hS, hy, hS'],
refine finset.insert_subset.mpr ⟨_, _⟩,
{ rw finset.mem_mul,
use [x,y],
simpa only [true_and, true_or, eq_self_iff_true, finset.mem_insert], },
{ suffices g : (s : set M) ⊆ insert x T * insert y T', { norm_cast at g, assumption, },
transitivity ↑(T * T'),
apply h,
rw finset.coe_mul,
apply set.mul_subset_mul (set.subset_insert x T) (set.subset_insert y T'), },
end
end finset
/-! Some lemmas about pointwise multiplication and submonoids. Ideally we put these in
`group_theory.submonoid.basic`, but currently we cannot because that file is imported by this. -/
namespace submonoid
variables {M : Type*} [monoid M]
@[to_additive]
lemma mul_subset {s t : set M} {S : submonoid M} (hs : s ⊆ S) (ht : t ⊆ S) : s * t ⊆ S :=
by { rintro _ ⟨p, q, hp, hq, rfl⟩, exact submonoid.mul_mem _ (hs hp) (ht hq) }
@[to_additive]
lemma mul_subset_closure {s t u : set M} (hs : s ⊆ u) (ht : t ⊆ u) :
s * t ⊆ submonoid.closure u :=
mul_subset (subset.trans hs submonoid.subset_closure) (subset.trans ht submonoid.subset_closure)
@[to_additive]
lemma coe_mul_self_eq (s : submonoid M) : (s : set M) * s = s :=
begin
ext x,
refine ⟨_, λ h, ⟨x, 1, h, s.one_mem, mul_one x⟩⟩,
rintros ⟨a, b, ha, hb, rfl⟩,
exact s.mul_mem ha hb
end
@[to_additive]
lemma closure_mul_le (S T : set M) : closure (S * T) ≤ closure S ⊔ closure T :=
Inf_le $ λ x ⟨s, t, hs, ht, hx⟩, hx ▸ (closure S ⊔ closure T).mul_mem
(set_like.le_def.mp le_sup_left $ subset_closure hs)
(set_like.le_def.mp le_sup_right $ subset_closure ht)
@[to_additive]
lemma sup_eq_closure (H K : submonoid M) : H ⊔ K = closure (H * K) :=
le_antisymm
(sup_le
(λ h hh, subset_closure ⟨h, 1, hh, K.one_mem, mul_one h⟩)
(λ k hk, subset_closure ⟨1, k, H.one_mem, hk, one_mul k⟩))
(by conv_rhs { rw [← closure_eq H, ← closure_eq K] }; apply closure_mul_le)
end submonoid
namespace group
lemma card_pow_eq_card_pow_card_univ_aux {f : ℕ → ℕ} (h1 : monotone f)
{B : ℕ} (h2 : ∀ n, f n ≤ B) (h3 : ∀ n, f n = f (n + 1) → f (n + 1) = f (n + 2)) :
∀ k, B ≤ k → f k = f B :=
begin
have key : ∃ n : ℕ, n ≤ B ∧ f n = f (n + 1),
{ contrapose! h2,
suffices : ∀ n : ℕ, n ≤ B + 1 → n ≤ f n,
{ exact ⟨B + 1, this (B + 1) (le_refl (B + 1))⟩ },
exact λ n, nat.rec (λ h, nat.zero_le (f 0)) (λ n ih h, lt_of_le_of_lt (ih (n.le_succ.trans h))
(lt_of_le_of_ne (h1 n.le_succ) (h2 n (nat.succ_le_succ_iff.mp h)))) n },
{ obtain ⟨n, hn1, hn2⟩ := key,
replace key : ∀ k : ℕ, f (n + k) = f (n + k + 1) ∧ f (n + k) = f n :=
λ k, nat.rec ⟨hn2, rfl⟩ (λ k ih, ⟨h3 _ ih.1, ih.1.symm.trans ih.2⟩) k,
replace key : ∀ k : ℕ, n ≤ k → f k = f n :=
λ k hk, (congr_arg f (nat.add_sub_cancel' hk)).symm.trans (key (k - n)).2,
exact λ k hk, (key k (hn1.trans hk)).trans (key B hn1).symm },
end
variables {G : Type*} [group G] [fintype G] (S : set G)
lemma card_pow_eq_card_pow_card_univ [∀ (k : ℕ), decidable_pred (∈ (S ^ k))] :
∀ k, fintype.card G ≤ k → fintype.card ↥(S ^ k) = fintype.card ↥(S ^ (fintype.card G)) :=
begin
have hG : 0 < fintype.card G := fintype.card_pos_iff.mpr ⟨1⟩,
by_cases hS : S = ∅,
{ intros k hk,
congr' 2,
rw [hS, empty_pow _ (ne_of_gt (lt_of_lt_of_le hG hk)), empty_pow _ (ne_of_gt hG)] },
obtain ⟨a, ha⟩ := set.ne_empty_iff_nonempty.mp hS,
classical,
have key : ∀ a (s t : set G), (∀ b : G, b ∈ s → a * b ∈ t) → fintype.card s ≤ fintype.card t,
{ refine λ a s t h, fintype.card_le_of_injective (λ ⟨b, hb⟩, ⟨a * b, h b hb⟩) _,
rintros ⟨b, hb⟩ ⟨c, hc⟩ hbc,
exact subtype.ext (mul_left_cancel (subtype.ext_iff.mp hbc)) },
have mono : monotone (λ n, fintype.card ↥(S ^ n) : ℕ → ℕ) :=
monotone_nat_of_le_succ (λ n, key a _ _ (λ b hb, set.mul_mem_mul ha hb)),
convert card_pow_eq_card_pow_card_univ_aux mono (λ n, set_fintype_card_le_univ (S ^ n))
(λ n h, le_antisymm (mono (n + 1).le_succ) (key a⁻¹ _ _ _)),
{ simp only [finset.filter_congr_decidable, fintype.card_of_finset] },
replace h : {a} * S ^ n = S ^ (n + 1),
{ refine set.eq_of_subset_of_card_le _ (le_trans (ge_of_eq h) _),
{ exact mul_subset_mul (set.singleton_subset_iff.mpr ha) set.subset.rfl },
{ convert key a (S ^ n) ({a} * S ^ n) (λ b hb, set.mul_mem_mul (set.mem_singleton a) hb) } },
rw [pow_succ', ←h, mul_assoc, ←pow_succ', h],
rintros _ ⟨b, c, hb, hc, rfl⟩,
rwa [set.mem_singleton_iff.mp hb, inv_mul_cancel_left],
end
end group
|
d167a9e694b1262a2dada469196cdcc6a7699c3c | a45212b1526d532e6e83c44ddca6a05795113ddc | /src/tactic/subtype_instance.lean | c2d4cf24e8a98e97473defaff30b5f86e839e3d9 | [
"Apache-2.0"
] | permissive | fpvandoorn/mathlib | b21ab4068db079cbb8590b58fda9cc4bc1f35df4 | b3433a51ea8bc07c4159c1073838fc0ee9b8f227 | refs/heads/master | 1,624,791,089,608 | 1,556,715,231,000 | 1,556,715,231,000 | 165,722,980 | 5 | 0 | Apache-2.0 | 1,552,657,455,000 | 1,547,494,646,000 | Lean | UTF-8 | Lean | false | false | 2,366 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
Provides a `subtype_instance` tactic which builds instances for algebraic substructures
(sub-groups, sub-rings...).
-/
import data.string
import tactic.interactive tactic.algebra
import data.subtype data.set.basic
open tactic expr name list
namespace tactic
open tactic.interactive (get_current_field refine_struct)
open lean lean.parser
open interactive
/-- makes the substructure axiom name from field name, by postfacing with `_mem`-/
def mk_mem_name (sub : name) : name → name
| (mk_string n _) := mk_string (n ++ "_mem") sub
| n := n
meta def derive_field_subtype : tactic unit :=
do
field ← get_current_field,
b ← target >>= is_prop,
if b then do
`[simp [subtype.ext], dsimp [set.set_coe_eq_subtype]],
intros,
applyc field; assumption
else do
s ← find_local ``(set _),
`(set %%α) ← infer_type s,
e ← mk_const field,
expl_arity ← get_expl_arity $ e α,
xs ← (iota expl_arity).mmap $ λ _, intro1,
args ← xs.mmap $ λ x, mk_app `subtype.val [x],
hyps ← xs.mmap $ λ x, mk_app `subtype.property [x],
val ← mk_app field args,
subname ← local_context >>= list.mfirst (λ h, do
(expr.const n _, args) ← get_app_fn_args <$> infer_type h,
is_def_eq s args.ilast reducible,
return n),
mem_field ← resolve_constant $ mk_mem_name subname field,
val_mem ← mk_app mem_field hyps,
`(coe_sort %%s) <- target >>= instantiate_mvars,
tactic.refine ``(@subtype.mk _ %%s %%val %%val_mem)
namespace interactive
/-- builds instances for algebraic substructures
Example:
```lean
variables {α : Type*} [monoid α] {s : set α}
class is_submonoid (s : set α) : Prop :=
(one_mem : (1:α) ∈ s)
(mul_mem {a b} : a ∈ s → b ∈ s → a * b ∈ s)
instance subtype.monoid {s : set α} [is_submonoid s] : monoid s :=
by subtype_instance
````
-/
meta def subtype_instance :=
do t ← target,
let cl := t.get_app_fn.const_name,
src ← find_ancestors cl t.app_arg,
let inst := pexpr.mk_structure_instance
{ struct := cl,
field_values := [],
field_names := [],
sources := src.map to_pexpr },
refine_struct inst ; derive_field_subtype
end interactive
end tactic
|
9081df41bcfa8b1e4e9a9b0c4f263c95f0697e20 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/lcnfIssue.lean | b9e53e756388ccdfccd8e7bb7fec80436bcab2a5 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 233 | lean | import Lean
def issue : Trans (. < . : Nat → Nat → Prop) (. < . : Nat → Nat → Prop) (. < . : Nat → Nat → Prop) where
trans := Nat.lt_trans
set_option trace.Compiler.result true
#eval Lean.Compiler.compile #[``issue]
|
3cff04ef1dd4fd02feec51033d424585f3d3bad9 | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /src/Std/Data/PersistentHashSet.lean | bdba3cd56f05b62e1b0d84149ee00403316fafcb | [
"Apache-2.0"
] | permissive | WojciechKarpiel/lean4 | 7f89706b8e3c1f942b83a2c91a3a00b05da0e65b | f6e1314fa08293dea66a329e05b6c196a0189163 | refs/heads/master | 1,686,633,402,214 | 1,625,821,189,000 | 1,625,821,258,000 | 384,640,886 | 0 | 0 | Apache-2.0 | 1,625,903,617,000 | 1,625,903,026,000 | null | UTF-8 | Lean | false | false | 1,675 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
import Std.Data.PersistentHashMap
namespace Std
universe u v
structure PersistentHashSet (α : Type u) [BEq α] [Hashable α] where
(set : PersistentHashMap α Unit)
abbrev PHashSet (α : Type u) [BEq α] [Hashable α] := PersistentHashSet α
namespace PersistentHashSet
variable {α : Type u} [BEq α] [Hashable α]
@[inline] def isEmpty (s : PersistentHashSet α) : Bool :=
s.set.isEmpty
@[inline] def empty : PersistentHashSet α :=
{ set := PersistentHashMap.empty }
instance : Inhabited (PersistentHashSet α) where
default := empty
instance : EmptyCollection (PersistentHashSet α) :=
⟨empty⟩
@[inline] def insert (s : PersistentHashSet α) (a : α) : PersistentHashSet α :=
{ set := s.set.insert a () }
@[inline] def erase (s : PersistentHashSet α) (a : α) : PersistentHashSet α :=
{ set := s.set.erase a }
@[inline] def find? (s : PersistentHashSet α) (a : α) : Option α :=
match s.set.findEntry? a with
| some (a, _) => some a
| none => none
@[inline] def contains (s : PersistentHashSet α) (a : α) : Bool :=
s.set.contains a
@[inline] def size (s : PersistentHashSet α) : Nat :=
s.set.size
@[inline] def foldM {β : Type v} {m : Type v → Type v} [Monad m] (f : β → α → m β) (init : β) (s : PersistentHashSet α) : m β :=
s.set.foldlM (init := init) fun d a _ => f d a
@[inline] def fold {β : Type v} (f : β → α → β) (init : β) (s : PersistentHashSet α) : β :=
Id.run $ s.foldM f init
end PersistentHashSet
end Std
|
566ca6c1f41f2063e9b10fa8f3bce7ea22393d8b | 36c7a18fd72e5b57229bd8ba36493daf536a19ce | /tests/lean/simplifier7.lean | c88df5ccefb333ed33354ae21cf2a624819c6426 | [
"Apache-2.0"
] | permissive | YHVHvx/lean | 732bf0fb7a298cd7fe0f15d82f8e248c11db49e9 | 038369533e0136dd395dc252084d3c1853accbf2 | refs/heads/master | 1,610,701,080,210 | 1,449,128,595,000 | 1,449,128,595,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 437 | lean | -- Simplifying the operator with a user-defined congruence
import logic.connectives
constants (P1 Q1 P2 Q2 P3 Q3 : Prop) (H1 : P1 ↔ Q1) (H2 : P2 ↔ Q2) (H3 : P3 ↔ Q3)
constants (f g : Prop → Prop → Prop)
constants (Hf : and = f) (Hg : f = g)
attribute H1 [simp]
attribute H2 [simp]
attribute H3 [simp]
attribute Hf [simp]
attribute Hg [simp]
#simplify iff env 2 (and P1 (and P2 P3))
#simplify iff env 2 (and P1 (iff P2 P3))
|
ca4e288452bb230c44b4a81f13452ff38d713901 | d29d82a0af640c937e499f6be79fc552eae0aa13 | /src/data/real/nnreal.lean | 4104e0c7330b4651a31022ac73c2305eed3fd1db | [
"Apache-2.0"
] | permissive | AbdulMajeedkhurasani/mathlib | 835f8a5c5cf3075b250b3737172043ab4fa1edf6 | 79bc7323b164aebd000524ebafd198eb0e17f956 | refs/heads/master | 1,688,003,895,660 | 1,627,788,521,000 | 1,627,788,521,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 32,738 | lean | /-
Copyright (c) 2018 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import algebra.linear_ordered_comm_group_with_zero
import algebra.big_operators.ring
import data.real.basic
import algebra.indicator_function
import algebra.algebra.basic
/-!
# Nonnegative real numbers
In this file we define `nnreal` (notation: `ℝ≥0`) to be the type of non-negative real numbers,
a.k.a. the interval `[0, ∞)`. We also define the following operations and structures on `ℝ≥0`:
* the order on `ℝ≥0` is the restriction of the order on `ℝ`; these relations define a conditionally
complete linear order with a bottom element, `conditionally_complete_linear_order_bot`;
* `a + b` and `a * b` are the restrictions of addition and multiplication of real numbers to `ℝ≥0`;
these operations together with `0 = ⟨0, _⟩` and `1 = ⟨1, _⟩` turn `ℝ≥0` into a linear ordered
archimedean commutative semifield; we have no typeclass for this in `mathlib` yet, so we define
the following instances instead:
- `linear_ordered_semiring ℝ≥0`;
- `comm_semiring ℝ≥0`;
- `canonically_ordered_comm_semiring ℝ≥0`;
- `linear_ordered_comm_group_with_zero ℝ≥0`;
- `archimedean ℝ≥0`.
* `real.to_nnreal x` is defined as `⟨max x 0, _⟩`, i.e. `↑(real.to_nnreal x) = x` when `0 ≤ x` and
`↑(real.to_nnreal x) = 0` otherwise.
We also define an instance `can_lift ℝ ℝ≥0`. This instance can be used by the `lift` tactic to
replace `x : ℝ` and `hx : 0 ≤ x` in the proof context with `x : ℝ≥0` while replacing all occurences
of `x` with `↑x`. This tactic also works for a function `f : α → ℝ` with a hypothesis
`hf : ∀ x, 0 ≤ f x`.
## Notations
This file defines `ℝ≥0` as a localized notation for `nnreal`.
-/
noncomputable theory
open_locale classical big_operators
/-- Nonnegative real numbers. -/
def nnreal := {r : ℝ // 0 ≤ r}
localized "notation ` ℝ≥0 ` := nnreal" in nnreal
namespace nnreal
instance : has_coe ℝ≥0 ℝ := ⟨subtype.val⟩
/- Simp lemma to put back `n.val` into the normal form given by the coercion. -/
@[simp] lemma val_eq_coe (n : ℝ≥0) : n.val = n := rfl
instance : can_lift ℝ ℝ≥0 :=
{ coe := coe,
cond := λ r, 0 ≤ r,
prf := λ x hx, ⟨⟨x, hx⟩, rfl⟩ }
protected lemma eq {n m : ℝ≥0} : (n : ℝ) = (m : ℝ) → n = m := subtype.eq
protected lemma eq_iff {n m : ℝ≥0} : (n : ℝ) = (m : ℝ) ↔ n = m :=
iff.intro nnreal.eq (congr_arg coe)
lemma ne_iff {x y : ℝ≥0} : (x : ℝ) ≠ (y : ℝ) ↔ x ≠ y :=
not_iff_not_of_iff $ nnreal.eq_iff
/-- Reinterpret a real number `r` as a non-negative real number. Returns `0` if `r < 0`. -/
def _root_.real.to_nnreal (r : ℝ) : ℝ≥0 := ⟨max r 0, le_max_right _ _⟩
lemma _root_.real.coe_to_nnreal (r : ℝ) (hr : 0 ≤ r) : (real.to_nnreal r : ℝ) = r :=
max_eq_left hr
lemma _root_.real.le_coe_to_nnreal (r : ℝ) : r ≤ real.to_nnreal r :=
le_max_left r 0
lemma coe_nonneg (r : ℝ≥0) : (0 : ℝ) ≤ r := r.2
@[norm_cast]
theorem coe_mk (a : ℝ) (ha) : ((⟨a, ha⟩ : ℝ≥0) : ℝ) = a := rfl
instance : has_zero ℝ≥0 := ⟨⟨0, le_refl 0⟩⟩
instance : has_one ℝ≥0 := ⟨⟨1, zero_le_one⟩⟩
instance : has_add ℝ≥0 := ⟨λa b, ⟨a + b, add_nonneg a.2 b.2⟩⟩
instance : has_sub ℝ≥0 := ⟨λa b, real.to_nnreal (a - b)⟩
instance : has_mul ℝ≥0 := ⟨λa b, ⟨a * b, mul_nonneg a.2 b.2⟩⟩
instance : has_inv ℝ≥0 := ⟨λa, ⟨(a.1)⁻¹, inv_nonneg.2 a.2⟩⟩
instance : has_div ℝ≥0 := ⟨λa b, ⟨a / b, div_nonneg a.2 b.2⟩⟩
instance : has_le ℝ≥0 := ⟨λ r s, (r:ℝ) ≤ s⟩
instance : has_bot ℝ≥0 := ⟨0⟩
instance : inhabited ℝ≥0 := ⟨0⟩
protected lemma coe_injective : function.injective (coe : ℝ≥0 → ℝ) := subtype.coe_injective
@[simp, norm_cast] protected lemma coe_eq {r₁ r₂ : ℝ≥0} : (r₁ : ℝ) = r₂ ↔ r₁ = r₂ :=
nnreal.coe_injective.eq_iff
@[simp, norm_cast] protected lemma coe_zero : ((0 : ℝ≥0) : ℝ) = 0 := rfl
@[simp, norm_cast] protected lemma coe_one : ((1 : ℝ≥0) : ℝ) = 1 := rfl
@[simp, norm_cast] protected lemma coe_add (r₁ r₂ : ℝ≥0) : ((r₁ + r₂ : ℝ≥0) : ℝ) = r₁ + r₂ := rfl
@[simp, norm_cast] protected lemma coe_mul (r₁ r₂ : ℝ≥0) : ((r₁ * r₂ : ℝ≥0) : ℝ) = r₁ * r₂ := rfl
@[simp, norm_cast] protected lemma coe_inv (r : ℝ≥0) : ((r⁻¹ : ℝ≥0) : ℝ) = r⁻¹ := rfl
@[simp, norm_cast] protected lemma coe_div (r₁ r₂ : ℝ≥0) : ((r₁ / r₂ : ℝ≥0) : ℝ) = r₁ / r₂ := rfl
@[simp, norm_cast] protected lemma coe_bit0 (r : ℝ≥0) : ((bit0 r : ℝ≥0) : ℝ) = bit0 r := rfl
@[simp, norm_cast] protected lemma coe_bit1 (r : ℝ≥0) : ((bit1 r : ℝ≥0) : ℝ) = bit1 r := rfl
@[simp, norm_cast] protected lemma coe_sub {r₁ r₂ : ℝ≥0} (h : r₂ ≤ r₁) :
((r₁ - r₂ : ℝ≥0) : ℝ) = r₁ - r₂ :=
max_eq_left $ le_sub.2 $ by simp [show (r₂ : ℝ) ≤ r₁, from h]
-- TODO: setup semifield!
@[simp] protected lemma coe_eq_zero (r : ℝ≥0) : ↑r = (0 : ℝ) ↔ r = 0 := by norm_cast
lemma coe_ne_zero {r : ℝ≥0} : (r : ℝ) ≠ 0 ↔ r ≠ 0 := by norm_cast
instance : comm_semiring ℝ≥0 :=
{ zero := 0,
add := (+),
one := 1,
mul := (*),
.. nnreal.coe_injective.comm_semiring _ rfl rfl (λ _ _, rfl) (λ _ _, rfl) }
/-- Coercion `ℝ≥0 → ℝ` as a `ring_hom`. -/
def to_real_hom : ℝ≥0 →+* ℝ :=
⟨coe, nnreal.coe_one, nnreal.coe_mul, nnreal.coe_zero, nnreal.coe_add⟩
@[simp] lemma coe_to_real_hom : ⇑to_real_hom = coe := rfl
section actions
/-- A `mul_action` over `ℝ` restricts to a `mul_action` over `ℝ≥0`. -/
instance {M : Type*} [mul_action ℝ M] : mul_action ℝ≥0 M :=
mul_action.comp_hom M to_real_hom.to_monoid_hom
lemma smul_def {M : Type*} [mul_action ℝ M] (c : ℝ≥0) (x : M) :
c • x = (c : ℝ) • x := rfl
instance {M N : Type*} [mul_action ℝ M] [mul_action ℝ N] [has_scalar M N]
[is_scalar_tower ℝ M N] : is_scalar_tower ℝ≥0 M N :=
{ smul_assoc := λ r, (smul_assoc (r : ℝ) : _)}
instance smul_comm_class_left {M N : Type*} [mul_action ℝ N] [has_scalar M N]
[smul_comm_class ℝ M N] : smul_comm_class ℝ≥0 M N :=
{ smul_comm := λ r, (smul_comm (r : ℝ) : _)}
instance smul_comm_class_right {M N : Type*} [mul_action ℝ N] [has_scalar M N]
[smul_comm_class M ℝ N] : smul_comm_class M ℝ≥0 N :=
{ smul_comm := λ m r, (smul_comm m (r : ℝ) : _)}
/-- A `distrib_mul_action` over `ℝ` restricts to a `distrib_mul_action` over `ℝ≥0`. -/
instance {M : Type*} [add_monoid M] [distrib_mul_action ℝ M] : distrib_mul_action ℝ≥0 M :=
distrib_mul_action.comp_hom M to_real_hom.to_monoid_hom
/-- A `module` over `ℝ` restricts to a `module` over `ℝ≥0`. -/
instance {M : Type*} [add_comm_monoid M] [module ℝ M] : module ℝ≥0 M :=
module.comp_hom M to_real_hom
/-- An `algebra` over `ℝ` restricts to an `algebra` over `ℝ≥0`. -/
instance {A : Type*} [semiring A] [algebra ℝ A] : algebra ℝ≥0 A :=
{ smul := (•),
commutes' := λ r x, by simp [algebra.commutes],
smul_def' := λ r x, by simp [←algebra.smul_def (r : ℝ) x, smul_def],
to_ring_hom := ((algebra_map ℝ A).comp (to_real_hom : ℝ≥0 →+* ℝ)) }
-- verify that the above produces instances we might care about
example : algebra ℝ≥0 ℝ := by apply_instance
example : distrib_mul_action (units ℝ≥0) ℝ := by apply_instance
end actions
instance : comm_group_with_zero ℝ≥0 :=
{ zero := 0,
mul := (*),
one := 1,
inv := has_inv.inv,
div := (/),
.. nnreal.coe_injective.comm_group_with_zero _ rfl rfl (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl) }
@[simp, norm_cast] lemma coe_indicator {α} (s : set α) (f : α → ℝ≥0) (a : α) :
((s.indicator f a : ℝ≥0) : ℝ) = s.indicator (λ x, f x) a :=
(to_real_hom : ℝ≥0 →+ ℝ).map_indicator _ _ _
@[simp, norm_cast] lemma coe_pow (r : ℝ≥0) (n : ℕ) : ((r^n : ℝ≥0) : ℝ) = r^n :=
to_real_hom.map_pow r n
@[norm_cast] lemma coe_list_sum (l : list ℝ≥0) :
((l.sum : ℝ≥0) : ℝ) = (l.map coe).sum :=
to_real_hom.map_list_sum l
@[norm_cast] lemma coe_list_prod (l : list ℝ≥0) :
((l.prod : ℝ≥0) : ℝ) = (l.map coe).prod :=
to_real_hom.map_list_prod l
@[norm_cast] lemma coe_multiset_sum (s : multiset ℝ≥0) :
((s.sum : ℝ≥0) : ℝ) = (s.map coe).sum :=
to_real_hom.map_multiset_sum s
@[norm_cast] lemma coe_multiset_prod (s : multiset ℝ≥0) :
((s.prod : ℝ≥0) : ℝ) = (s.map coe).prod :=
to_real_hom.map_multiset_prod s
@[norm_cast] lemma coe_sum {α} {s : finset α} {f : α → ℝ≥0} :
↑(∑ a in s, f a) = ∑ a in s, (f a : ℝ) :=
to_real_hom.map_sum _ _
lemma _root_.real.to_nnreal_sum_of_nonneg {α} {s : finset α} {f : α → ℝ}
(hf : ∀ a, a ∈ s → 0 ≤ f a) :
real.to_nnreal (∑ a in s, f a) = ∑ a in s, real.to_nnreal (f a) :=
begin
rw [←nnreal.coe_eq, nnreal.coe_sum, real.coe_to_nnreal _ (finset.sum_nonneg hf)],
exact finset.sum_congr rfl (λ x hxs, by rw real.coe_to_nnreal _ (hf x hxs)),
end
@[norm_cast] lemma coe_prod {α} {s : finset α} {f : α → ℝ≥0} :
↑(∏ a in s, f a) = ∏ a in s, (f a : ℝ) :=
to_real_hom.map_prod _ _
lemma _root_.real.to_nnreal_prod_of_nonneg {α} {s : finset α} {f : α → ℝ}
(hf : ∀ a, a ∈ s → 0 ≤ f a) :
real.to_nnreal (∏ a in s, f a) = ∏ a in s, real.to_nnreal (f a) :=
begin
rw [←nnreal.coe_eq, nnreal.coe_prod, real.coe_to_nnreal _ (finset.prod_nonneg hf)],
exact finset.prod_congr rfl (λ x hxs, by rw real.coe_to_nnreal _ (hf x hxs)),
end
@[norm_cast] lemma nsmul_coe (r : ℝ≥0) (n : ℕ) : ↑(n • r) = n • (r:ℝ) :=
to_real_hom.to_add_monoid_hom.map_nsmul _ _
@[simp, norm_cast] protected lemma coe_nat_cast (n : ℕ) : (↑(↑n : ℝ≥0) : ℝ) = n :=
to_real_hom.map_nat_cast n
instance : linear_order ℝ≥0 :=
linear_order.lift (coe : ℝ≥0 → ℝ) nnreal.coe_injective
@[simp, norm_cast] protected lemma coe_le_coe {r₁ r₂ : ℝ≥0} : (r₁ : ℝ) ≤ r₂ ↔ r₁ ≤ r₂ := iff.rfl
@[simp, norm_cast] protected lemma coe_lt_coe {r₁ r₂ : ℝ≥0} : (r₁ : ℝ) < r₂ ↔ r₁ < r₂ := iff.rfl
@[simp, norm_cast] protected lemma coe_pos {r : ℝ≥0} : (0 : ℝ) < r ↔ 0 < r := iff.rfl
protected lemma coe_mono : monotone (coe : ℝ≥0 → ℝ) := λ _ _, nnreal.coe_le_coe.2
protected lemma _root_.real.to_nnreal_mono : monotone real.to_nnreal :=
λ x y h, max_le_max h (le_refl 0)
@[simp] lemma _root_.real.to_nnreal_coe {r : ℝ≥0} : real.to_nnreal r = r :=
nnreal.eq $ max_eq_left r.2
@[simp] lemma mk_coe_nat (n : ℕ) : @eq ℝ≥0 (⟨(n : ℝ), n.cast_nonneg⟩ : ℝ≥0) n :=
nnreal.eq (nnreal.coe_nat_cast n).symm
@[simp] lemma to_nnreal_coe_nat (n : ℕ) : real.to_nnreal n = n :=
nnreal.eq $ by simp [real.coe_to_nnreal]
/-- `real.to_nnreal` and `coe : ℝ≥0 → ℝ` form a Galois insertion. -/
protected def gi : galois_insertion real.to_nnreal coe :=
galois_insertion.monotone_intro nnreal.coe_mono real.to_nnreal_mono
real.le_coe_to_nnreal (λ _, real.to_nnreal_coe)
instance : order_bot ℝ≥0 :=
{ bot := ⊥, bot_le := assume ⟨a, h⟩, h, .. nnreal.linear_order }
instance : canonically_linear_ordered_add_monoid ℝ≥0 :=
{ add_le_add_left := assume a b h c,
nnreal.coe_le_coe.mp $ (add_le_add_left (nnreal.coe_le_coe.mpr h) c),
lt_of_add_lt_add_left := assume a b c bc,
nnreal.coe_lt_coe.mp $ lt_of_add_lt_add_left (nnreal.coe_lt_coe.mpr bc),
le_iff_exists_add := assume ⟨a, ha⟩ ⟨b, hb⟩,
iff.intro
(assume h : a ≤ b,
⟨⟨b - a, le_sub_iff_add_le.2 $ (zero_add _).le.trans h⟩,
nnreal.eq $ show b = a + (b - a), from (add_sub_cancel'_right _ _).symm⟩)
(assume ⟨⟨c, hc⟩, eq⟩, eq.symm ▸ show a ≤ a + c, from (le_add_iff_nonneg_right a).2 hc),
..nnreal.comm_semiring,
..nnreal.order_bot,
..nnreal.linear_order }
instance : linear_ordered_add_comm_monoid ℝ≥0 :=
{ .. nnreal.comm_semiring,
.. nnreal.canonically_linear_ordered_add_monoid }
instance : distrib_lattice ℝ≥0 := by apply_instance
instance : semilattice_inf_bot ℝ≥0 :=
{ .. nnreal.order_bot, .. nnreal.distrib_lattice }
instance : semilattice_sup_bot ℝ≥0 :=
{ .. nnreal.order_bot, .. nnreal.distrib_lattice }
instance : linear_ordered_semiring ℝ≥0 :=
{ add_left_cancel := assume a b c h, nnreal.eq $
@add_left_cancel ℝ _ a b c (nnreal.eq_iff.2 h),
le_of_add_le_add_left := assume a b c, @le_of_add_le_add_left ℝ _ _ _ a b c,
mul_lt_mul_of_pos_left := assume a b c, @mul_lt_mul_of_pos_left ℝ _ a b c,
mul_lt_mul_of_pos_right := assume a b c, @mul_lt_mul_of_pos_right ℝ _ a b c,
zero_le_one := @zero_le_one ℝ _,
exists_pair_ne := ⟨0, 1, ne_of_lt (@zero_lt_one ℝ _ _)⟩,
.. nnreal.canonically_linear_ordered_add_monoid,
.. nnreal.comm_semiring }
instance : ordered_comm_semiring ℝ≥0 :=
{ .. nnreal.linear_ordered_semiring, .. nnreal.comm_semiring }
instance : linear_ordered_comm_group_with_zero ℝ≥0 :=
{ mul_le_mul_left := assume a b h c, mul_le_mul (le_refl c) h (zero_le a) (zero_le c),
zero_le_one := zero_le 1,
.. nnreal.linear_ordered_semiring,
.. nnreal.comm_group_with_zero }
instance : canonically_ordered_comm_semiring ℝ≥0 :=
{ .. nnreal.canonically_linear_ordered_add_monoid,
.. nnreal.comm_semiring,
.. (show no_zero_divisors ℝ≥0, by apply_instance),
.. nnreal.comm_group_with_zero }
instance : densely_ordered ℝ≥0 :=
⟨assume a b (h : (a : ℝ) < b), let ⟨c, hac, hcb⟩ := exists_between h in
⟨⟨c, le_trans a.property $ le_of_lt $ hac⟩, hac, hcb⟩⟩
instance : no_top_order ℝ≥0 :=
⟨assume a, let ⟨b, hb⟩ := no_top (a:ℝ) in ⟨⟨b, le_trans a.property $ le_of_lt $ hb⟩, hb⟩⟩
lemma bdd_above_coe {s : set ℝ≥0} : bdd_above ((coe : ℝ≥0 → ℝ) '' s) ↔ bdd_above s :=
iff.intro
(assume ⟨b, hb⟩, ⟨real.to_nnreal b, assume ⟨y, hy⟩ hys, show y ≤ max b 0, from
le_max_of_le_left $ hb $ set.mem_image_of_mem _ hys⟩)
(assume ⟨b, hb⟩, ⟨b, assume y ⟨x, hx, eq⟩, eq ▸ hb hx⟩)
lemma bdd_below_coe (s : set ℝ≥0) : bdd_below ((coe : ℝ≥0 → ℝ) '' s) :=
⟨0, assume r ⟨q, _, eq⟩, eq ▸ q.2⟩
instance : has_Sup ℝ≥0 :=
⟨λs, ⟨Sup ((coe : ℝ≥0 → ℝ) '' s),
begin
cases s.eq_empty_or_nonempty with h h,
{ simp [h, set.image_empty, real.Sup_empty] },
rcases h with ⟨⟨b, hb⟩, hbs⟩,
by_cases h' : bdd_above s,
{ exact le_cSup_of_le (bdd_above_coe.2 h') (set.mem_image_of_mem _ hbs) hb },
{ rw [real.Sup_of_not_bdd_above], rwa [bdd_above_coe] }
end⟩⟩
instance : has_Inf ℝ≥0 :=
⟨λs, ⟨Inf ((coe : ℝ≥0 → ℝ) '' s),
begin
cases s.eq_empty_or_nonempty with h h,
{ simp [h, set.image_empty, real.Inf_empty] },
exact le_cInf (h.image _) (assume r ⟨q, _, eq⟩, eq ▸ q.2)
end⟩⟩
lemma coe_Sup (s : set ℝ≥0) : (↑(Sup s) : ℝ) = Sup ((coe : ℝ≥0 → ℝ) '' s) := rfl
lemma coe_Inf (s : set ℝ≥0) : (↑(Inf s) : ℝ) = Inf ((coe : ℝ≥0 → ℝ) '' s) := rfl
instance : conditionally_complete_linear_order_bot ℝ≥0 :=
{ Sup := Sup,
Inf := Inf,
le_cSup := assume s a hs ha, le_cSup (bdd_above_coe.2 hs) (set.mem_image_of_mem _ ha),
cSup_le := assume s a hs h,show Sup ((coe : ℝ≥0 → ℝ) '' s) ≤ a, from
cSup_le (by simp [hs]) $ assume r ⟨b, hb, eq⟩, eq ▸ h hb,
cInf_le := assume s a _ has, cInf_le (bdd_below_coe s) (set.mem_image_of_mem _ has),
le_cInf := assume s a hs h, show (↑a : ℝ) ≤ Inf ((coe : ℝ≥0 → ℝ) '' s), from
le_cInf (by simp [hs]) $ assume r ⟨b, hb, eq⟩, eq ▸ h hb,
cSup_empty := nnreal.eq $ by simp [coe_Sup, real.Sup_empty]; refl,
decidable_le := begin assume x y, apply classical.dec end,
.. nnreal.linear_ordered_semiring, .. lattice_of_linear_order,
.. nnreal.order_bot }
instance : archimedean ℝ≥0 :=
⟨ assume x y pos_y,
let ⟨n, hr⟩ := archimedean.arch (x:ℝ) (pos_y : (0 : ℝ) < y) in
⟨n, show (x:ℝ) ≤ (n • y : ℝ≥0), by simp [*, -nsmul_eq_mul, nsmul_coe]⟩ ⟩
lemma le_of_forall_pos_le_add {a b : ℝ≥0} (h : ∀ε, 0 < ε → a ≤ b + ε) : a ≤ b :=
le_of_forall_le_of_dense $ assume x hxb,
begin
rcases le_iff_exists_add.1 (le_of_lt hxb) with ⟨ε, rfl⟩,
exact h _ ((lt_add_iff_pos_right b).1 hxb)
end
-- TODO: generalize to some ordered add_monoids, based on #6145
lemma le_of_add_le_left {a b c : ℝ≥0} (h : a + b ≤ c) : a ≤ c :=
by { refine le_trans _ h, simp }
lemma le_of_add_le_right {a b c : ℝ≥0} (h : a + b ≤ c) : b ≤ c :=
by { refine le_trans _ h, simp }
lemma lt_iff_exists_rat_btwn (a b : ℝ≥0) :
a < b ↔ (∃q:ℚ, 0 ≤ q ∧ a < real.to_nnreal q ∧ real.to_nnreal q < b) :=
iff.intro
(assume (h : (↑a:ℝ) < (↑b:ℝ)),
let ⟨q, haq, hqb⟩ := exists_rat_btwn h in
have 0 ≤ (q : ℝ), from le_trans a.2 $ le_of_lt haq,
⟨q, rat.cast_nonneg.1 this,
by simp [real.coe_to_nnreal _ this, nnreal.coe_lt_coe.symm, haq, hqb]⟩)
(assume ⟨q, _, haq, hqb⟩, lt_trans haq hqb)
lemma bot_eq_zero : (⊥ : ℝ≥0) = 0 := rfl
lemma mul_sup (a b c : ℝ≥0) : a * (b ⊔ c) = (a * b) ⊔ (a * c) :=
begin
cases le_total b c with h h,
{ simp [sup_eq_max, max_eq_right h, max_eq_right (mul_le_mul_of_nonneg_left h (zero_le a))] },
{ simp [sup_eq_max, max_eq_left h, max_eq_left (mul_le_mul_of_nonneg_left h (zero_le a))] },
end
lemma mul_finset_sup {α} {f : α → ℝ≥0} {s : finset α} (r : ℝ≥0) :
r * s.sup f = s.sup (λa, r * f a) :=
begin
refine s.induction_on _ _,
{ simp [bot_eq_zero] },
{ assume a s has ih, simp [has, ih, mul_sup], }
end
@[simp, norm_cast] lemma coe_max (x y : ℝ≥0) :
((max x y : ℝ≥0) : ℝ) = max (x : ℝ) (y : ℝ) :=
by { delta max, split_ifs; refl }
@[simp, norm_cast] lemma coe_min (x y : ℝ≥0) :
((min x y : ℝ≥0) : ℝ) = min (x : ℝ) (y : ℝ) :=
by { delta min, split_ifs; refl }
@[simp] lemma zero_le_coe {q : ℝ≥0} : 0 ≤ (q : ℝ) := q.2
end nnreal
namespace real
section to_nnreal
@[simp] lemma to_nnreal_zero : real.to_nnreal 0 = 0 :=
by simp [real.to_nnreal]; refl
@[simp] lemma to_nnreal_one : real.to_nnreal 1 = 1 :=
by simp [real.to_nnreal, max_eq_left (zero_le_one : (0 :ℝ) ≤ 1)]; refl
@[simp] lemma to_nnreal_pos {r : ℝ} : 0 < real.to_nnreal r ↔ 0 < r :=
by simp [real.to_nnreal, nnreal.coe_lt_coe.symm, lt_irrefl]
@[simp] lemma to_nnreal_eq_zero {r : ℝ} : real.to_nnreal r = 0 ↔ r ≤ 0 :=
by simpa [-to_nnreal_pos] using (not_iff_not.2 (@to_nnreal_pos r))
lemma to_nnreal_of_nonpos {r : ℝ} : r ≤ 0 → real.to_nnreal r = 0 :=
to_nnreal_eq_zero.2
@[simp] lemma coe_to_nnreal' (r : ℝ) : (real.to_nnreal r : ℝ) = max r 0 := rfl
@[simp] lemma to_nnreal_le_to_nnreal_iff {r p : ℝ} (hp : 0 ≤ p) :
real.to_nnreal r ≤ real.to_nnreal p ↔ r ≤ p :=
by simp [nnreal.coe_le_coe.symm, real.to_nnreal, hp]
@[simp] lemma to_nnreal_lt_to_nnreal_iff' {r p : ℝ} :
real.to_nnreal r < real.to_nnreal p ↔ r < p ∧ 0 < p :=
by simp [nnreal.coe_lt_coe.symm, real.to_nnreal, lt_irrefl]
lemma to_nnreal_lt_to_nnreal_iff {r p : ℝ} (h : 0 < p) :
real.to_nnreal r < real.to_nnreal p ↔ r < p :=
to_nnreal_lt_to_nnreal_iff'.trans (and_iff_left h)
lemma to_nnreal_lt_to_nnreal_iff_of_nonneg {r p : ℝ} (hr : 0 ≤ r) :
real.to_nnreal r < real.to_nnreal p ↔ r < p :=
to_nnreal_lt_to_nnreal_iff'.trans ⟨and.left, λ h, ⟨h, lt_of_le_of_lt hr h⟩⟩
@[simp] lemma to_nnreal_add {r p : ℝ} (hr : 0 ≤ r) (hp : 0 ≤ p) :
real.to_nnreal (r + p) = real.to_nnreal r + real.to_nnreal p :=
nnreal.eq $ by simp [real.to_nnreal, hr, hp, add_nonneg]
lemma to_nnreal_add_to_nnreal {r p : ℝ} (hr : 0 ≤ r) (hp : 0 ≤ p) :
real.to_nnreal r + real.to_nnreal p = real.to_nnreal (r + p) :=
(real.to_nnreal_add hr hp).symm
lemma to_nnreal_le_to_nnreal {r p : ℝ} (h : r ≤ p) :
real.to_nnreal r ≤ real.to_nnreal p :=
real.to_nnreal_mono h
lemma to_nnreal_add_le {r p : ℝ} :
real.to_nnreal (r + p) ≤ real.to_nnreal r + real.to_nnreal p :=
nnreal.coe_le_coe.1 $ max_le (add_le_add (le_max_left _ _) (le_max_left _ _)) nnreal.zero_le_coe
lemma to_nnreal_le_iff_le_coe {r : ℝ} {p : ℝ≥0} : real.to_nnreal r ≤ p ↔ r ≤ ↑p :=
nnreal.gi.gc r p
lemma le_to_nnreal_iff_coe_le {r : ℝ≥0} {p : ℝ} (hp : 0 ≤ p) : r ≤ real.to_nnreal p ↔ ↑r ≤ p :=
by rw [← nnreal.coe_le_coe, real.coe_to_nnreal p hp]
lemma le_to_nnreal_iff_coe_le' {r : ℝ≥0} {p : ℝ} (hr : 0 < r) : r ≤ real.to_nnreal p ↔ ↑r ≤ p :=
(le_or_lt 0 p).elim le_to_nnreal_iff_coe_le $ λ hp,
by simp only [(hp.trans_le r.coe_nonneg).not_le, to_nnreal_eq_zero.2 hp.le, hr.not_le]
lemma to_nnreal_lt_iff_lt_coe {r : ℝ} {p : ℝ≥0} (ha : 0 ≤ r) : real.to_nnreal r < p ↔ r < ↑p :=
by rw [← nnreal.coe_lt_coe, real.coe_to_nnreal r ha]
lemma lt_to_nnreal_iff_coe_lt {r : ℝ≥0} {p : ℝ} : r < real.to_nnreal p ↔ ↑r < p :=
begin
cases le_total 0 p,
{ rw [← nnreal.coe_lt_coe, real.coe_to_nnreal p h] },
{ rw [to_nnreal_eq_zero.2 h], split,
{ intro, have := not_lt_of_le (zero_le r), contradiction },
{ intro rp, have : ¬(p ≤ 0) := not_le_of_lt (lt_of_le_of_lt (nnreal.coe_nonneg _) rp),
contradiction } }
end
@[simp] lemma to_nnreal_bit0 {r : ℝ} (hr : 0 ≤ r) :
real.to_nnreal (bit0 r) = bit0 (real.to_nnreal r) :=
real.to_nnreal_add hr hr
@[simp] lemma to_nnreal_bit1 {r : ℝ} (hr : 0 ≤ r) :
real.to_nnreal (bit1 r) = bit1 (real.to_nnreal r) :=
(real.to_nnreal_add (by simp [hr]) zero_le_one).trans (by simp [to_nnreal_one, bit1, hr])
end to_nnreal
end real
open real
namespace nnreal
section mul
lemma mul_eq_mul_left {a b c : ℝ≥0} (h : a ≠ 0) : (a * b = a * c ↔ b = c) :=
begin
rw [← nnreal.eq_iff, ← nnreal.eq_iff, nnreal.coe_mul, nnreal.coe_mul], split,
{ exact mul_left_cancel' (mt (@nnreal.eq_iff a 0).1 h) },
{ assume h, rw [h] }
end
lemma _root_.real.to_nnreal_mul {p q : ℝ} (hp : 0 ≤ p) :
real.to_nnreal (p * q) = real.to_nnreal p * real.to_nnreal q :=
begin
cases le_total 0 q with hq hq,
{ apply nnreal.eq,
simp [real.to_nnreal, hp, hq, max_eq_left, mul_nonneg] },
{ have hpq := mul_nonpos_of_nonneg_of_nonpos hp hq,
rw [to_nnreal_eq_zero.2 hq, to_nnreal_eq_zero.2 hpq, mul_zero] }
end
end mul
section pow
lemma pow_mono_decr_exp {a : ℝ≥0} (m n : ℕ) (mn : m ≤ n) (a1 : a ≤ 1) :
a ^ n ≤ a ^ m :=
begin
rcases le_iff_exists_add.mp mn with ⟨k, rfl⟩,
rw [← mul_one (a ^ m), pow_add],
refine mul_le_mul rfl.le (pow_le_one _ (zero_le a) a1) _ _;
exact pow_nonneg (zero_le _) _,
end
end pow
section sub
lemma sub_def {r p : ℝ≥0} : r - p = real.to_nnreal (r - p) := rfl
lemma sub_eq_zero {r p : ℝ≥0} (h : r ≤ p) : r - p = 0 :=
nnreal.eq $ max_eq_right $ sub_le_iff_le_add.2 $ by simpa [nnreal.coe_le_coe] using h
@[simp] lemma sub_self {r : ℝ≥0} : r - r = 0 := sub_eq_zero $ le_refl r
@[simp] lemma sub_zero {r : ℝ≥0} : r - 0 = r :=
by rw [sub_def, nnreal.coe_zero, sub_zero, real.to_nnreal_coe]
lemma sub_pos {r p : ℝ≥0} : 0 < r - p ↔ p < r :=
to_nnreal_pos.trans $ sub_pos.trans $ nnreal.coe_lt_coe
protected lemma sub_lt_self {r p : ℝ≥0} : 0 < r → 0 < p → r - p < r :=
assume hr hp,
begin
cases le_total r p,
{ rwa [sub_eq_zero h] },
{ rw [← nnreal.coe_lt_coe, nnreal.coe_sub h], exact sub_lt_self _ hp }
end
@[simp] lemma sub_le_iff_le_add {r p q : ℝ≥0} : r - p ≤ q ↔ r ≤ q + p :=
match le_total p r with
| or.inl h := by rw [← nnreal.coe_le_coe, ← nnreal.coe_le_coe, nnreal.coe_sub h, nnreal.coe_add,
sub_le_iff_le_add]
| or.inr h :=
have r ≤ p + q, from le_add_right h,
by simpa [nnreal.coe_le_coe, nnreal.coe_le_coe, sub_eq_zero h, add_comm]
end
@[simp] lemma sub_le_self {r p : ℝ≥0} : r - p ≤ r :=
sub_le_iff_le_add.2 $ le_add_right $ le_refl r
lemma add_sub_cancel {r p : ℝ≥0} : (p + r) - r = p :=
nnreal.eq $ by rw [nnreal.coe_sub, nnreal.coe_add, add_sub_cancel]; exact le_add_self
lemma add_sub_cancel' {r p : ℝ≥0} : (r + p) - r = p :=
by rw [add_comm, add_sub_cancel]
lemma sub_add_eq_max {r p : ℝ≥0} : (r - p) + p = max r p :=
nnreal.eq $ by rw [sub_def, nnreal.coe_add, coe_max, real.to_nnreal, coe_mk,
← max_add_add_right, zero_add, sub_add_cancel]
lemma add_sub_eq_max {r p : ℝ≥0} : p + (r - p) = max p r :=
by rw [add_comm, sub_add_eq_max, max_comm]
@[simp] lemma sub_add_cancel_of_le {a b : ℝ≥0} (h : b ≤ a) : (a - b) + b = a :=
by rw [sub_add_eq_max, max_eq_left h]
lemma sub_sub_cancel_of_le {r p : ℝ≥0} (h : r ≤ p) : p - (p - r) = r :=
by rw [nnreal.sub_def, nnreal.sub_def, real.coe_to_nnreal _ $ sub_nonneg.2 h,
sub_sub_cancel, real.to_nnreal_coe]
lemma lt_sub_iff_add_lt {p q r : ℝ≥0} : p < q - r ↔ p + r < q :=
begin
split,
{ assume H,
have : (((q - r) : ℝ≥0) : ℝ) = (q : ℝ) - (r : ℝ) :=
nnreal.coe_sub (le_of_lt (sub_pos.1 (lt_of_le_of_lt (zero_le _) H))),
rwa [← nnreal.coe_lt_coe, this, lt_sub_iff_add_lt, ← nnreal.coe_add] at H },
{ assume H,
have : r ≤ q := le_trans (le_add_self) (le_of_lt H),
rwa [← nnreal.coe_lt_coe, nnreal.coe_sub this, lt_sub_iff_add_lt, ← nnreal.coe_add] }
end
lemma sub_lt_iff_lt_add {a b c : ℝ≥0} (h : b ≤ a) : a - b < c ↔ a < b + c :=
by simp only [←nnreal.coe_lt_coe, nnreal.coe_sub h, nnreal.coe_add, sub_lt_iff_lt_add']
lemma sub_eq_iff_eq_add {a b c : ℝ≥0} (h : b ≤ a) : a - b = c ↔ a = c + b :=
by rw [←nnreal.eq_iff, nnreal.coe_sub h, ←nnreal.eq_iff, nnreal.coe_add, sub_eq_iff_eq_add]
end sub
section inv
lemma sum_div {ι} (s : finset ι) (f : ι → ℝ≥0) (b : ℝ≥0) :
(∑ i in s, f i) / b = ∑ i in s, (f i / b) :=
by simp only [div_eq_mul_inv, finset.sum_mul]
@[simp] lemma inv_pos {r : ℝ≥0} : 0 < r⁻¹ ↔ 0 < r :=
by simp [pos_iff_ne_zero]
lemma div_pos {r p : ℝ≥0} (hr : 0 < r) (hp : 0 < p) : 0 < r / p :=
by simpa only [div_eq_mul_inv] using mul_pos hr (inv_pos.2 hp)
protected lemma mul_inv {r p : ℝ≥0} : (r * p)⁻¹ = p⁻¹ * r⁻¹ := nnreal.eq $ mul_inv_rev' _ _
lemma div_self_le (r : ℝ≥0) : r / r ≤ 1 :=
if h : r = 0 then by simp [h] else by rw [div_self h]
@[simp] lemma inv_le {r p : ℝ≥0} (h : r ≠ 0) : r⁻¹ ≤ p ↔ 1 ≤ r * p :=
by rw [← mul_le_mul_left (pos_iff_ne_zero.2 h), mul_inv_cancel h]
lemma inv_le_of_le_mul {r p : ℝ≥0} (h : 1 ≤ r * p) : r⁻¹ ≤ p :=
by by_cases r = 0; simp [*, inv_le]
@[simp] lemma le_inv_iff_mul_le {r p : ℝ≥0} (h : p ≠ 0) : (r ≤ p⁻¹ ↔ r * p ≤ 1) :=
by rw [← mul_le_mul_left (pos_iff_ne_zero.2 h), mul_inv_cancel h, mul_comm]
@[simp] lemma lt_inv_iff_mul_lt {r p : ℝ≥0} (h : p ≠ 0) : (r < p⁻¹ ↔ r * p < 1) :=
by rw [← mul_lt_mul_left (pos_iff_ne_zero.2 h), mul_inv_cancel h, mul_comm]
lemma mul_le_iff_le_inv {a b r : ℝ≥0} (hr : r ≠ 0) : r * a ≤ b ↔ a ≤ r⁻¹ * b :=
have 0 < r, from lt_of_le_of_ne (zero_le r) hr.symm,
by rw [← @mul_le_mul_left _ _ a _ r this, ← mul_assoc, mul_inv_cancel hr, one_mul]
lemma le_div_iff_mul_le {a b r : ℝ≥0} (hr : r ≠ 0) : a ≤ b / r ↔ a * r ≤ b :=
by rw [div_eq_inv_mul, ← mul_le_iff_le_inv hr, mul_comm]
lemma div_le_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a / r ≤ b ↔ a ≤ b * r :=
@div_le_iff ℝ _ a r b $ pos_iff_ne_zero.2 hr
lemma div_le_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a / r ≤ b ↔ a ≤ r * b :=
@div_le_iff' ℝ _ a r b $ pos_iff_ne_zero.2 hr
lemma div_le_of_le_mul {a b c : ℝ≥0} (h : a ≤ b * c) : a / c ≤ b :=
if h0 : c = 0 then by simp [h0] else (div_le_iff h0).2 h
lemma div_le_of_le_mul' {a b c : ℝ≥0} (h : a ≤ b * c) : a / b ≤ c :=
div_le_of_le_mul $ mul_comm b c ▸ h
lemma le_div_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a ≤ b / r ↔ a * r ≤ b :=
@le_div_iff ℝ _ a b r $ pos_iff_ne_zero.2 hr
lemma le_div_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a ≤ b / r ↔ r * a ≤ b :=
@le_div_iff' ℝ _ a b r $ pos_iff_ne_zero.2 hr
lemma div_lt_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a / r < b ↔ a < b * r :=
lt_iff_lt_of_le_iff_le (le_div_iff hr)
lemma div_lt_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a / r < b ↔ a < r * b :=
lt_iff_lt_of_le_iff_le (le_div_iff' hr)
lemma lt_div_iff {a b r : ℝ≥0} (hr : r ≠ 0) : a < b / r ↔ a * r < b :=
lt_iff_lt_of_le_iff_le (div_le_iff hr)
lemma lt_div_iff' {a b r : ℝ≥0} (hr : r ≠ 0) : a < b / r ↔ r * a < b :=
lt_iff_lt_of_le_iff_le (div_le_iff' hr)
lemma mul_lt_of_lt_div {a b r : ℝ≥0} (h : a < b / r) : a * r < b :=
begin
refine (lt_div_iff $ λ hr, false.elim _).1 h,
subst r,
simpa using h
end
lemma div_le_div_left_of_le {a b c : ℝ≥0} (b0 : 0 < b) (c0 : 0 < c) (cb : c ≤ b) :
a / b ≤ a / c :=
begin
by_cases a0 : a = 0,
{ rw [a0, zero_div, zero_div] },
{ cases a with a ha,
replace a0 : 0 < a := lt_of_le_of_ne ha (ne_of_lt (zero_lt_iff.mpr a0)),
exact (div_le_div_left a0 b0 c0).mpr cb }
end
lemma div_le_div_left {a b c : ℝ≥0} (a0 : 0 < a) (b0 : 0 < b) (c0 : 0 < c) :
a / b ≤ a / c ↔ c ≤ b :=
by rw [nnreal.div_le_iff b0.ne.symm, div_mul_eq_mul_div, nnreal.le_div_iff_mul_le c0.ne.symm,
mul_le_mul_left a0]
lemma le_of_forall_lt_one_mul_le {x y : ℝ≥0} (h : ∀a<1, a * x ≤ y) : x ≤ y :=
le_of_forall_ge_of_dense $ assume a ha,
have hx : x ≠ 0 := pos_iff_ne_zero.1 (lt_of_le_of_lt (zero_le _) ha),
have hx' : x⁻¹ ≠ 0, by rwa [(≠), inv_eq_zero],
have a * x⁻¹ < 1, by rwa [← lt_inv_iff_mul_lt hx', inv_inv'],
have (a * x⁻¹) * x ≤ y, from h _ this,
by rwa [mul_assoc, inv_mul_cancel hx, mul_one] at this
lemma div_add_div_same (a b c : ℝ≥0) : a / c + b / c = (a + b) / c :=
eq.symm $ right_distrib a b (c⁻¹)
lemma half_pos {a : ℝ≥0} (h : 0 < a) : 0 < a / 2 := div_pos h zero_lt_two
lemma add_halves (a : ℝ≥0) : a / 2 + a / 2 = a := nnreal.eq (add_halves a)
lemma half_lt_self {a : ℝ≥0} (h : a ≠ 0) : a / 2 < a :=
by rw [← nnreal.coe_lt_coe, nnreal.coe_div]; exact
half_lt_self (bot_lt_iff_ne_bot.2 h)
lemma two_inv_lt_one : (2⁻¹:ℝ≥0) < 1 :=
by simpa using half_lt_self zero_ne_one.symm
lemma div_lt_one_of_lt {a b : ℝ≥0} (h : a < b) : a / b < 1 :=
begin
rwa [div_lt_iff, one_mul],
exact ne_of_gt (lt_of_le_of_lt (zero_le _) h)
end
@[field_simps] lemma div_add_div (a : ℝ≥0) {b : ℝ≥0} (c : ℝ≥0) {d : ℝ≥0}
(hb : b ≠ 0) (hd : d ≠ 0) : a / b + c / d = (a * d + b * c) / (b * d) :=
begin
rw ← nnreal.eq_iff,
simp only [nnreal.coe_add, nnreal.coe_div, nnreal.coe_mul],
exact div_add_div _ _ (coe_ne_zero.2 hb) (coe_ne_zero.2 hd)
end
@[field_simps] lemma add_div' (a b c : ℝ≥0) (hc : c ≠ 0) :
b + a / c = (b * c + a) / c :=
by simpa using div_add_div b a one_ne_zero hc
@[field_simps] lemma div_add' (a b c : ℝ≥0) (hc : c ≠ 0) :
a / c + b = (a + b * c) / c :=
by rwa [add_comm, add_div', add_comm]
lemma _root_.real.to_nnreal_inv {x : ℝ} :
real.to_nnreal x⁻¹ = (real.to_nnreal x)⁻¹ :=
begin
by_cases hx : 0 ≤ x,
{ nth_rewrite 0 ← real.coe_to_nnreal x hx,
rw [←nnreal.coe_inv, real.to_nnreal_coe], },
{ have hx' := le_of_not_ge hx,
rw [to_nnreal_eq_zero.mpr hx', inv_zero, to_nnreal_eq_zero.mpr (inv_nonpos.mpr hx')], },
end
lemma _root_.real.to_nnreal_div {x y : ℝ} (hx : 0 ≤ x) :
real.to_nnreal (x / y) = real.to_nnreal x / real.to_nnreal y :=
by rw [div_eq_mul_inv, div_eq_mul_inv, ← real.to_nnreal_inv, ← real.to_nnreal_mul hx]
lemma _root_.real.to_nnreal_div' {x y : ℝ} (hy : 0 ≤ y) :
real.to_nnreal (x / y) = real.to_nnreal x / real.to_nnreal y :=
by rw [div_eq_inv_mul, div_eq_inv_mul, real.to_nnreal_mul (inv_nonneg.2 hy), real.to_nnreal_inv]
end inv
@[simp] lemma abs_eq (x : ℝ≥0) : abs (x : ℝ) = x :=
abs_of_nonneg x.property
end nnreal
/-- The absolute value on `ℝ` as a map to `ℝ≥0`. -/
@[pp_nodot] def real.nnabs (x : ℝ) : ℝ≥0 := ⟨abs x, abs_nonneg x⟩
@[norm_cast, simp] lemma nnreal.coe_nnabs (x : ℝ) : (real.nnabs x : ℝ) = abs x :=
by simp [real.nnabs]
@[simp]
lemma real.nnabs_of_nonneg {x : ℝ} (h : 0 ≤ x) : real.nnabs x = real.to_nnreal x :=
by { ext, simp [real.coe_to_nnreal x h, abs_of_nonneg h] }
lemma real.coe_to_nnreal_le (x : ℝ) : (real.to_nnreal x : ℝ) ≤ abs x :=
max_le (le_abs_self _) (abs_nonneg _)
lemma cast_nat_abs_eq_nnabs_cast (n : ℤ) :
(n.nat_abs : ℝ≥0) = real.nnabs n :=
by { ext, rw [nnreal.coe_nat_cast, int.cast_nat_abs, nnreal.coe_nnabs] }
|
0973b5eba6bc82229d338bb7bf517ea5882e66fa | 19cc34575500ee2e3d4586c15544632aa07a8e66 | /src/order/bounded_lattice.lean | 907f26f7722871c5e898e5d9ae73c939152f96b6 | [
"Apache-2.0"
] | permissive | LibertasSpZ/mathlib | b9fcd46625eb940611adb5e719a4b554138dade6 | 33f7870a49d7cc06d2f3036e22543e6ec5046e68 | refs/heads/master | 1,672,066,539,347 | 1,602,429,158,000 | 1,602,429,158,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 40,299 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
Defines bounded lattice type class hierarchy.
Includes the Prop and fun instances.
-/
import order.lattice
import data.option.basic
import tactic.pi_instances
set_option old_structure_cmd true
universes u v
variables {α : Type u} {β : Type v}
/-- Typeclass for the `⊤` (`\top`) notation -/
class has_top (α : Type u) := (top : α)
/-- Typeclass for the `⊥` (`\bot`) notation -/
class has_bot (α : Type u) := (bot : α)
notation `⊤` := has_top.top
notation `⊥` := has_bot.bot
attribute [pattern] has_bot.bot has_top.top
/-- An `order_top` is a partial order with a maximal element.
(We could state this on preorders, but then it wouldn't be unique
so distinguishing one would seem odd.) -/
class order_top (α : Type u) extends has_top α, partial_order α :=
(le_top : ∀ a : α, a ≤ ⊤)
section order_top
variables [order_top α] {a b : α}
@[simp] theorem le_top : a ≤ ⊤ :=
order_top.le_top a
theorem top_unique (h : ⊤ ≤ a) : a = ⊤ :=
le_antisymm le_top h
-- TODO: delete in favor of the next?
theorem eq_top_iff : a = ⊤ ↔ ⊤ ≤ a :=
⟨assume eq, eq.symm ▸ le_refl ⊤, top_unique⟩
@[simp] theorem top_le_iff : ⊤ ≤ a ↔ a = ⊤ :=
⟨top_unique, λ h, h.symm ▸ le_refl ⊤⟩
@[simp] theorem not_top_lt : ¬ ⊤ < a :=
assume h, lt_irrefl a (lt_of_le_of_lt le_top h)
theorem eq_top_mono (h : a ≤ b) (h₂ : a = ⊤) : b = ⊤ :=
top_le_iff.1 $ h₂ ▸ h
lemma lt_top_iff_ne_top : a < ⊤ ↔ a ≠ ⊤ :=
begin
haveI := classical.dec_eq α,
haveI : decidable (⊤ ≤ a) := decidable_of_iff' _ top_le_iff,
by simp [-top_le_iff, lt_iff_le_not_le, not_iff_not.2 (@top_le_iff _ _ a)]
end
lemma ne_top_of_lt (h : a < b) : a ≠ ⊤ :=
lt_top_iff_ne_top.1 $ lt_of_lt_of_le h le_top
theorem ne_top_of_le_ne_top {a b : α} (hb : b ≠ ⊤) (hab : a ≤ b) : a ≠ ⊤ :=
assume ha, hb $ top_unique $ ha ▸ hab
end order_top
lemma strict_mono.top_preimage_top' [linear_order α] [order_top β]
{f : α → β} (H : strict_mono f) {a} (h_top : f a = ⊤) (x : α) :
x ≤ a :=
H.top_preimage_top (λ p, by { rw h_top, exact le_top }) x
theorem order_top.ext_top {α} {A B : order_top α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) :
(by haveI := A; exact ⊤ : α) = ⊤ :=
top_unique $ by rw ← H; apply le_top
theorem order_top.ext {α} {A B : order_top α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) : A = B :=
begin
have := partial_order.ext H,
have tt := order_top.ext_top H,
casesI A, casesI B,
injection this; congr'
end
/-- An `order_bot` is a partial order with a minimal element.
(We could state this on preorders, but then it wouldn't be unique
so distinguishing one would seem odd.) -/
class order_bot (α : Type u) extends has_bot α, partial_order α :=
(bot_le : ∀ a : α, ⊥ ≤ a)
section order_bot
variables [order_bot α] {a b : α}
@[simp] theorem bot_le : ⊥ ≤ a := order_bot.bot_le a
theorem bot_unique (h : a ≤ ⊥) : a = ⊥ :=
le_antisymm h bot_le
-- TODO: delete?
theorem eq_bot_iff : a = ⊥ ↔ a ≤ ⊥ :=
⟨assume eq, eq.symm ▸ le_refl ⊥, bot_unique⟩
@[simp] theorem le_bot_iff : a ≤ ⊥ ↔ a = ⊥ :=
⟨bot_unique, assume h, h.symm ▸ le_refl ⊥⟩
@[simp] theorem not_lt_bot : ¬ a < ⊥ :=
assume h, lt_irrefl a (lt_of_lt_of_le h bot_le)
theorem ne_bot_of_le_ne_bot {a b : α} (hb : b ≠ ⊥) (hab : b ≤ a) : a ≠ ⊥ :=
assume ha, hb $ bot_unique $ ha ▸ hab
theorem eq_bot_mono (h : a ≤ b) (h₂ : b = ⊥) : a = ⊥ :=
le_bot_iff.1 $ h₂ ▸ h
lemma bot_lt_iff_ne_bot : ⊥ < a ↔ a ≠ ⊥ :=
begin
haveI := classical.dec_eq α,
haveI : decidable (a ≤ ⊥) := decidable_of_iff' _ le_bot_iff,
simp [-le_bot_iff, lt_iff_le_not_le, not_iff_not.2 (@le_bot_iff _ _ a)]
end
lemma ne_bot_of_gt (h : a < b) : b ≠ ⊥ :=
bot_lt_iff_ne_bot.1 $ lt_of_le_of_lt bot_le h
end order_bot
lemma strict_mono.bot_preimage_bot' [linear_order α] [order_bot β]
{f : α → β} (H : strict_mono f) {a} (h_bot : f a = ⊥) (x : α) :
a ≤ x :=
H.bot_preimage_bot (λ p, by { rw h_bot, exact bot_le }) x
theorem order_bot.ext_bot {α} {A B : order_bot α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) :
(by haveI := A; exact ⊥ : α) = ⊥ :=
bot_unique $ by rw ← H; apply bot_le
theorem order_bot.ext {α} {A B : order_bot α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) : A = B :=
begin
have := partial_order.ext H,
have tt := order_bot.ext_bot H,
casesI A, casesI B,
injection this; congr'
end
/-- A `semilattice_sup_top` is a semilattice with top and join. -/
class semilattice_sup_top (α : Type u) extends order_top α, semilattice_sup α
section semilattice_sup_top
variables [semilattice_sup_top α] {a : α}
@[simp] theorem top_sup_eq : ⊤ ⊔ a = ⊤ :=
sup_of_le_left le_top
@[simp] theorem sup_top_eq : a ⊔ ⊤ = ⊤ :=
sup_of_le_right le_top
end semilattice_sup_top
/-- A `semilattice_sup_bot` is a semilattice with bottom and join. -/
class semilattice_sup_bot (α : Type u) extends order_bot α, semilattice_sup α
section semilattice_sup_bot
variables [semilattice_sup_bot α] {a b : α}
@[simp] theorem bot_sup_eq : ⊥ ⊔ a = a :=
sup_of_le_right bot_le
@[simp] theorem sup_bot_eq : a ⊔ ⊥ = a :=
sup_of_le_left bot_le
@[simp] theorem sup_eq_bot_iff : a ⊔ b = ⊥ ↔ (a = ⊥ ∧ b = ⊥) :=
by rw [eq_bot_iff, sup_le_iff]; simp
end semilattice_sup_bot
instance nat.semilattice_sup_bot : semilattice_sup_bot ℕ :=
{ bot := 0, bot_le := nat.zero_le, .. nat.distrib_lattice }
/-- A `semilattice_inf_top` is a semilattice with top and meet. -/
class semilattice_inf_top (α : Type u) extends order_top α, semilattice_inf α
section semilattice_inf_top
variables [semilattice_inf_top α] {a b : α}
@[simp] theorem top_inf_eq : ⊤ ⊓ a = a :=
inf_of_le_right le_top
@[simp] theorem inf_top_eq : a ⊓ ⊤ = a :=
inf_of_le_left le_top
@[simp] theorem inf_eq_top_iff : a ⊓ b = ⊤ ↔ (a = ⊤ ∧ b = ⊤) :=
by rw [eq_top_iff, le_inf_iff]; simp
end semilattice_inf_top
/-- A `semilattice_inf_bot` is a semilattice with bottom and meet. -/
class semilattice_inf_bot (α : Type u) extends order_bot α, semilattice_inf α
section semilattice_inf_bot
variables [semilattice_inf_bot α] {a : α}
@[simp] theorem bot_inf_eq : ⊥ ⊓ a = ⊥ :=
inf_of_le_left bot_le
@[simp] theorem inf_bot_eq : a ⊓ ⊥ = ⊥ :=
inf_of_le_right bot_le
end semilattice_inf_bot
/- Bounded lattices -/
/-- A bounded lattice is a lattice with a top and bottom element,
denoted `⊤` and `⊥` respectively. This allows for the interpretation
of all finite suprema and infima, taking `inf ∅ = ⊤` and `sup ∅ = ⊥`. -/
class bounded_lattice (α : Type u) extends lattice α, order_top α, order_bot α
@[priority 100] -- see Note [lower instance priority]
instance semilattice_inf_top_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_inf_top α :=
{ le_top := assume x, @le_top α _ x, ..bl }
@[priority 100] -- see Note [lower instance priority]
instance semilattice_inf_bot_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_inf_bot α :=
{ bot_le := assume x, @bot_le α _ x, ..bl }
@[priority 100] -- see Note [lower instance priority]
instance semilattice_sup_top_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_sup_top α :=
{ le_top := assume x, @le_top α _ x, ..bl }
@[priority 100] -- see Note [lower instance priority]
instance semilattice_sup_bot_of_bounded_lattice (α : Type u) [bl : bounded_lattice α] : semilattice_sup_bot α :=
{ bot_le := assume x, @bot_le α _ x, ..bl }
theorem bounded_lattice.ext {α} {A B : bounded_lattice α}
(H : ∀ x y : α, (by haveI := A; exact x ≤ y) ↔ x ≤ y) : A = B :=
begin
have H1 : @bounded_lattice.to_lattice α A =
@bounded_lattice.to_lattice α B := lattice.ext H,
have H2 := order_bot.ext H,
have H3 : @bounded_lattice.to_order_top α A =
@bounded_lattice.to_order_top α B := order_top.ext H,
have tt := order_bot.ext_bot H,
casesI A, casesI B,
injection H1; injection H2; injection H3; congr'
end
/-- A bounded distributive lattice is exactly what it sounds like. -/
class bounded_distrib_lattice α extends distrib_lattice α, bounded_lattice α
lemma inf_eq_bot_iff_le_compl {α : Type u} [bounded_distrib_lattice α] {a b c : α}
(h₁ : b ⊔ c = ⊤) (h₂ : b ⊓ c = ⊥) : a ⊓ b = ⊥ ↔ a ≤ c :=
⟨assume : a ⊓ b = ⊥,
calc a ≤ a ⊓ (b ⊔ c) : by simp [h₁]
... = (a ⊓ b) ⊔ (a ⊓ c) : by simp [inf_sup_left]
... ≤ c : by simp [this, inf_le_right],
assume : a ≤ c,
bot_unique $
calc a ⊓ b ≤ b ⊓ c : by { rw [inf_comm], exact inf_le_inf_left _ this }
... = ⊥ : h₂⟩
/- Prop instance -/
instance bounded_distrib_lattice_Prop : bounded_distrib_lattice Prop :=
{ le := λa b, a → b,
le_refl := assume _, id,
le_trans := assume a b c f g, g ∘ f,
le_antisymm := assume a b Hab Hba, propext ⟨Hab, Hba⟩,
sup := or,
le_sup_left := @or.inl,
le_sup_right := @or.inr,
sup_le := assume a b c, or.rec,
inf := and,
inf_le_left := @and.left,
inf_le_right := @and.right,
le_inf := assume a b c Hab Hac Ha, and.intro (Hab Ha) (Hac Ha),
le_sup_inf := assume a b c H, or_iff_not_imp_left.2 $
λ Ha, ⟨H.1.resolve_left Ha, H.2.resolve_left Ha⟩,
top := true,
le_top := assume a Ha, true.intro,
bot := false,
bot_le := @false.elim }
instance Prop.linear_order : linear_order Prop :=
{ le_total := by intros p q; change (p → q) ∨ (q → p); tauto!,
.. (_ : partial_order Prop) }
@[simp]
lemma le_iff_imp {p q : Prop} : p ≤ q ↔ (p → q) := iff.rfl
section logic
variable [preorder α]
theorem monotone_and {p q : α → Prop} (m_p : monotone p) (m_q : monotone q) :
monotone (λx, p x ∧ q x) :=
assume a b h, and.imp (m_p h) (m_q h)
-- Note: by finish [monotone] doesn't work
theorem monotone_or {p q : α → Prop} (m_p : monotone p) (m_q : monotone q) :
monotone (λx, p x ∨ q x) :=
assume a b h, or.imp (m_p h) (m_q h)
end logic
instance pi.order_bot {α : Type*} {β : α → Type*} [∀ a, order_bot $ β a] : order_bot (Π a, β a) :=
{ bot := λ _, ⊥,
bot_le := λ x a, bot_le,
.. pi.partial_order }
/- Function lattices -/
instance pi.has_sup {ι : Type*} {α : ι → Type*} [Π i, has_sup (α i)] : has_sup (Π i, α i) :=
⟨λ f g i, f i ⊔ g i⟩
@[simp] lemma sup_apply {ι : Type*} {α : ι → Type*} [Π i, has_sup (α i)] (f g : Π i, α i) (i : ι) :
(f ⊔ g) i = f i ⊔ g i :=
rfl
instance pi.has_inf {ι : Type*} {α : ι → Type*} [Π i, has_inf (α i)] : has_inf (Π i, α i) :=
⟨λ f g i, f i ⊓ g i⟩
@[simp] lemma inf_apply {ι : Type*} {α : ι → Type*} [Π i, has_inf (α i)] (f g : Π i, α i) (i : ι) :
(f ⊓ g) i = f i ⊓ g i :=
rfl
instance pi.has_bot {ι : Type*} {α : ι → Type*} [Π i, has_bot (α i)] : has_bot (Π i, α i) :=
⟨λ i, ⊥⟩
@[simp] lemma bot_apply {ι : Type*} {α : ι → Type*} [Π i, has_bot (α i)] (i : ι) :
(⊥ : Π i, α i) i = ⊥ :=
rfl
instance pi.has_top {ι : Type*} {α : ι → Type*} [Π i, has_top (α i)] : has_top (Π i, α i) :=
⟨λ i, ⊤⟩
@[simp] lemma top_apply {ι : Type*} {α : ι → Type*} [Π i, has_top (α i)] (i : ι) :
(⊤ : Π i, α i) i = ⊤ :=
rfl
@[simps]
instance pi.semilattice_sup {ι : Type*} {α : ι → Type*} [Π i, semilattice_sup (α i)] :
semilattice_sup (Π i, α i) :=
by refine_struct { sup := (⊔), .. pi.partial_order }; tactic.pi_instance_derive_field
@[simps]
instance pi.semilattice_inf {ι : Type*} {α : ι → Type*} [Π i, semilattice_inf (α i)] :
semilattice_inf (Π i, α i) :=
by refine_struct { inf := (⊓), .. pi.partial_order }; tactic.pi_instance_derive_field
@[simps]
instance pi.semilattice_inf_bot {ι : Type*} {α : ι → Type*} [Π i, semilattice_inf_bot (α i)] :
semilattice_inf_bot (Π i, α i) :=
by refine_struct { inf := (⊓), bot := ⊥, .. pi.partial_order }; tactic.pi_instance_derive_field
@[simps]
instance pi.semilattice_inf_top {ι : Type*} {α : ι → Type*} [Π i, semilattice_inf_top (α i)] :
semilattice_inf_top (Π i, α i) :=
by refine_struct { inf := (⊓), top := ⊤, .. pi.partial_order }; tactic.pi_instance_derive_field
@[simps]
instance pi.semilattice_sup_bot {ι : Type*} {α : ι → Type*} [Π i, semilattice_sup_bot (α i)] :
semilattice_sup_bot (Π i, α i) :=
by refine_struct { sup := (⊔), bot := ⊥, .. pi.partial_order }; tactic.pi_instance_derive_field
@[simps]
instance pi.semilattice_sup_top {ι : Type*} {α : ι → Type*} [Π i, semilattice_sup_top (α i)] :
semilattice_sup_top (Π i, α i) :=
by refine_struct { sup := (⊔), top := ⊤, .. pi.partial_order }; tactic.pi_instance_derive_field
@[simps]
instance pi.lattice {ι : Type*} {α : ι → Type*} [Π i, lattice (α i)] : lattice (Π i, α i) :=
{ .. pi.semilattice_sup, .. pi.semilattice_inf }
@[simps]
instance pi.bounded_lattice {ι : Type*} {α : ι → Type*} [Π i, bounded_lattice (α i)] :
bounded_lattice (Π i, α i) :=
{ .. pi.semilattice_sup_top, .. pi.semilattice_inf_bot }
/-- Attach `⊥` to a type. -/
def with_bot (α : Type*) := option α
namespace with_bot
meta instance {α} [has_to_format α] : has_to_format (with_bot α) :=
{ to_format := λ x,
match x with
| none := "⊥"
| (some x) := to_fmt x
end }
instance : has_coe_t α (with_bot α) := ⟨some⟩
instance has_bot : has_bot (with_bot α) := ⟨none⟩
instance : inhabited (with_bot α) := ⟨⊥⟩
lemma none_eq_bot : (none : with_bot α) = (⊥ : with_bot α) := rfl
lemma some_eq_coe (a : α) : (some a : with_bot α) = (↑a : with_bot α) := rfl
/-- Recursor for `with_bot` using the preferred forms `⊥` and `↑a`. -/
@[elab_as_eliminator]
def rec_bot_coe {C : with_bot α → Sort*} (h₁ : C ⊥) (h₂ : Π (a : α), C a) :
Π (n : with_bot α), C n :=
option.rec h₁ h₂
@[norm_cast]
theorem coe_eq_coe {a b : α} : (a : with_bot α) = b ↔ a = b :=
by rw [← option.some.inj_eq a b]; refl
@[priority 10]
instance has_lt [has_lt α] : has_lt (with_bot α) :=
{ lt := λ o₁ o₂ : option α, ∃ b ∈ o₂, ∀ a ∈ o₁, a < b }
@[simp] theorem some_lt_some [has_lt α] {a b : α} :
@has_lt.lt (with_bot α) _ (some a) (some b) ↔ a < b :=
by simp [(<)]
lemma bot_lt_some [has_lt α] (a : α) : (⊥ : with_bot α) < some a :=
⟨a, rfl, λ b hb, (option.not_mem_none _ hb).elim⟩
lemma bot_lt_coe [has_lt α] (a : α) : (⊥ : with_bot α) < a := bot_lt_some a
instance [preorder α] : preorder (with_bot α) :=
{ le := λ o₁ o₂ : option α, ∀ a ∈ o₁, ∃ b ∈ o₂, a ≤ b,
lt := (<),
lt_iff_le_not_le := by intros; cases a; cases b;
simp [lt_iff_le_not_le]; simp [(<)];
split; refl,
le_refl := λ o a ha, ⟨a, ha, le_refl _⟩,
le_trans := λ o₁ o₂ o₃ h₁ h₂ a ha,
let ⟨b, hb, ab⟩ := h₁ a ha, ⟨c, hc, bc⟩ := h₂ b hb in
⟨c, hc, le_trans ab bc⟩ }
instance partial_order [partial_order α] : partial_order (with_bot α) :=
{ le_antisymm := λ o₁ o₂ h₁ h₂, begin
cases o₁ with a,
{ cases o₂ with b, {refl},
rcases h₂ b rfl with ⟨_, ⟨⟩, _⟩ },
{ rcases h₁ a rfl with ⟨b, ⟨⟩, h₁'⟩,
rcases h₂ b rfl with ⟨_, ⟨⟩, h₂'⟩,
rw le_antisymm h₁' h₂' }
end,
.. with_bot.preorder }
instance order_bot [partial_order α] : order_bot (with_bot α) :=
{ bot_le := λ a a' h, option.no_confusion h,
..with_bot.partial_order, ..with_bot.has_bot }
@[simp, norm_cast] theorem coe_le_coe [partial_order α] {a b : α} :
(a : with_bot α) ≤ b ↔ a ≤ b :=
⟨λ h, by rcases h a rfl with ⟨_, ⟨⟩, h⟩; exact h,
λ h a' e, option.some_inj.1 e ▸ ⟨b, rfl, h⟩⟩
@[simp] theorem some_le_some [partial_order α] {a b : α} :
@has_le.le (with_bot α) _ (some a) (some b) ↔ a ≤ b := coe_le_coe
theorem coe_le [partial_order α] {a b : α} :
∀ {o : option α}, b ∈ o → ((a : with_bot α) ≤ o ↔ a ≤ b)
| _ rfl := coe_le_coe
@[norm_cast]
lemma coe_lt_coe [partial_order α] {a b : α} : (a : with_bot α) < b ↔ a < b := some_lt_some
lemma le_coe_get_or_else [preorder α] : ∀ (a : with_bot α) (b : α), a ≤ a.get_or_else b
| (some a) b := le_refl a
| none b := λ _ h, option.no_confusion h
instance linear_order [linear_order α] : linear_order (with_bot α) :=
{ le_total := λ o₁ o₂, begin
cases o₁ with a, {exact or.inl bot_le},
cases o₂ with b, {exact or.inr bot_le},
simp [le_total]
end,
..with_bot.partial_order }
instance decidable_lt [has_lt α] [@decidable_rel α (<)] : @decidable_rel (with_bot α) (<)
| none (some x) := is_true $ by existsi [x,rfl]; rintros _ ⟨⟩
| (some x) (some y) :=
if h : x < y
then is_true $ by simp *
else is_false $ by simp *
| x none := is_false $ by rintro ⟨a,⟨⟨⟩⟩⟩
instance decidable_linear_order [decidable_linear_order α] : decidable_linear_order (with_bot α) :=
{ decidable_le := λ a b, begin
cases a with a,
{ exact is_true bot_le },
cases b with b,
{ exact is_false (mt (le_antisymm bot_le) (by simp)) },
{ exact decidable_of_iff _ some_le_some }
end,
..with_bot.linear_order }
instance semilattice_sup [semilattice_sup α] : semilattice_sup_bot (with_bot α) :=
{ sup := option.lift_or_get (⊔),
le_sup_left := λ o₁ o₂ a ha,
by cases ha; cases o₂; simp [option.lift_or_get],
le_sup_right := λ o₁ o₂ a ha,
by cases ha; cases o₁; simp [option.lift_or_get],
sup_le := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases o₁ with b; cases o₂ with c; cases ha,
{ exact h₂ a rfl },
{ exact h₁ a rfl },
{ rcases h₁ b rfl with ⟨d, ⟨⟩, h₁'⟩,
simp at h₂,
exact ⟨d, rfl, sup_le h₁' h₂⟩ }
end,
..with_bot.order_bot }
instance semilattice_inf [semilattice_inf α] : semilattice_inf_bot (with_bot α) :=
{ inf := λ o₁ o₂, o₁.bind (λ a, o₂.map (λ b, a ⊓ b)),
inf_le_left := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, inf_le_left⟩
end,
inf_le_right := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, inf_le_right⟩
end,
le_inf := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases ha,
rcases h₁ a rfl with ⟨b, ⟨⟩, ab⟩,
rcases h₂ a rfl with ⟨c, ⟨⟩, ac⟩,
exact ⟨_, rfl, le_inf ab ac⟩
end,
..with_bot.order_bot }
instance lattice [lattice α] : lattice (with_bot α) :=
{ ..with_bot.semilattice_sup, ..with_bot.semilattice_inf }
theorem lattice_eq_DLO [decidable_linear_order α] :
lattice_of_decidable_linear_order = @with_bot.lattice α _ :=
lattice.ext $ λ x y, iff.rfl
theorem sup_eq_max [decidable_linear_order α] (x y : with_bot α) : x ⊔ y = max x y :=
by rw [← sup_eq_max, lattice_eq_DLO]
theorem inf_eq_min [decidable_linear_order α] (x y : with_bot α) : x ⊓ y = min x y :=
by rw [← inf_eq_min, lattice_eq_DLO]
instance order_top [order_top α] : order_top (with_bot α) :=
{ top := some ⊤,
le_top := λ o a ha, by cases ha; exact ⟨_, rfl, le_top⟩,
..with_bot.partial_order }
instance bounded_lattice [bounded_lattice α] : bounded_lattice (with_bot α) :=
{ ..with_bot.lattice, ..with_bot.order_top, ..with_bot.order_bot }
lemma well_founded_lt [partial_order α] (h : well_founded ((<) : α → α → Prop)) :
well_founded ((<) : with_bot α → with_bot α → Prop) :=
have acc_bot : acc ((<) : with_bot α → with_bot α → Prop) ⊥ :=
acc.intro _ (λ a ha, (not_le_of_gt ha bot_le).elim),
⟨λ a, option.rec_on a acc_bot (λ a, acc.intro _ (λ b, option.rec_on b (λ _, acc_bot)
(λ b, well_founded.induction h b
(show ∀ b : α, (∀ c, c < b → (c : with_bot α) < a →
acc ((<) : with_bot α → with_bot α → Prop) c) → (b : with_bot α) < a →
acc ((<) : with_bot α → with_bot α → Prop) b,
from λ b ih hba, acc.intro _ (λ c, option.rec_on c (λ _, acc_bot)
(λ c hc, ih _ (some_lt_some.1 hc) (lt_trans hc hba)))))))⟩
instance densely_ordered [partial_order α] [densely_ordered α] [no_bot_order α] :
densely_ordered (with_bot α) :=
⟨ assume a b,
match a, b with
| a, none := assume h : a < ⊥, (not_lt_bot h).elim
| none, some b := assume h, let ⟨a, ha⟩ := no_bot b in ⟨a, bot_lt_coe a, coe_lt_coe.2 ha⟩
| some a, some b := assume h, let ⟨a, ha₁, ha₂⟩ := exists_between (coe_lt_coe.1 h) in
⟨a, coe_lt_coe.2 ha₁, coe_lt_coe.2 ha₂⟩
end⟩
end with_bot
--TODO(Mario): Construct using order dual on with_bot
/-- Attach `⊤` to a type. -/
def with_top (α : Type*) := option α
namespace with_top
meta instance {α} [has_to_format α] : has_to_format (with_top α) :=
{ to_format := λ x,
match x with
| none := "⊤"
| (some x) := to_fmt x
end }
instance : has_coe_t α (with_top α) := ⟨some⟩
instance has_top : has_top (with_top α) := ⟨none⟩
instance : inhabited (with_top α) := ⟨⊤⟩
lemma none_eq_top : (none : with_top α) = (⊤ : with_top α) := rfl
lemma some_eq_coe (a : α) : (some a : with_top α) = (↑a : with_top α) := rfl
/-- Recursor for `with_top` using the preferred forms `⊤` and `↑a`. -/
@[elab_as_eliminator]
def rec_top_coe {C : with_top α → Sort*} (h₁ : C ⊤) (h₂ : Π (a : α), C a) :
Π (n : with_top α), C n :=
option.rec h₁ h₂
@[norm_cast]
theorem coe_eq_coe {a b : α} : (a : with_top α) = b ↔ a = b :=
by rw [← option.some.inj_eq a b]; refl
@[simp] theorem top_ne_coe {a : α} : ⊤ ≠ (a : with_top α) .
@[simp] theorem coe_ne_top {a : α} : (a : with_top α) ≠ ⊤ .
@[priority 10]
instance has_lt [has_lt α] : has_lt (with_top α) :=
{ lt := λ o₁ o₂ : option α, ∃ b ∈ o₁, ∀ a ∈ o₂, b < a }
@[priority 10]
instance has_le [has_le α] : has_le (with_top α) :=
{ le := λ o₁ o₂ : option α, ∀ a ∈ o₂, ∃ b ∈ o₁, b ≤ a }
@[simp] theorem some_lt_some [has_lt α] {a b : α} :
@has_lt.lt (with_top α) _ (some a) (some b) ↔ a < b :=
by simp [(<)]
@[simp] theorem some_le_some [has_le α] {a b : α} :
@has_le.le (with_top α) _ (some a) (some b) ↔ a ≤ b :=
by simp [(≤)]
@[simp] theorem le_none [has_le α] {a : with_top α} :
@has_le.le (with_top α) _ a none :=
by simp [(≤)]
@[simp] theorem some_lt_none [has_lt α] {a : α} :
@has_lt.lt (with_top α) _ (some a) none :=
by simp [(<)]; existsi a; refl
instance [preorder α] : preorder (with_top α) :=
{ le := λ o₁ o₂ : option α, ∀ a ∈ o₂, ∃ b ∈ o₁, b ≤ a,
lt := (<),
lt_iff_le_not_le := by { intros; cases a; cases b;
simp [lt_iff_le_not_le]; simp [(<),(≤)] },
le_refl := λ o a ha, ⟨a, ha, le_refl _⟩,
le_trans := λ o₁ o₂ o₃ h₁ h₂ c hc,
let ⟨b, hb, bc⟩ := h₂ c hc, ⟨a, ha, ab⟩ := h₁ b hb in
⟨a, ha, le_trans ab bc⟩,
}
instance partial_order [partial_order α] : partial_order (with_top α) :=
{ le_antisymm := λ o₁ o₂ h₁ h₂, begin
cases o₂ with b,
{ cases o₁ with a, {refl},
rcases h₂ a rfl with ⟨_, ⟨⟩, _⟩ },
{ rcases h₁ b rfl with ⟨a, ⟨⟩, h₁'⟩,
rcases h₂ a rfl with ⟨_, ⟨⟩, h₂'⟩,
rw le_antisymm h₁' h₂' }
end,
.. with_top.preorder }
instance order_top [partial_order α] : order_top (with_top α) :=
{ le_top := λ a a' h, option.no_confusion h,
..with_top.partial_order, .. with_top.has_top }
@[simp, norm_cast] theorem coe_le_coe [partial_order α] {a b : α} :
(a : with_top α) ≤ b ↔ a ≤ b :=
⟨λ h, by rcases h b rfl with ⟨_, ⟨⟩, h⟩; exact h,
λ h a' e, option.some_inj.1 e ▸ ⟨a, rfl, h⟩⟩
theorem le_coe [partial_order α] {a b : α} :
∀ {o : option α}, a ∈ o →
(@has_le.le (with_top α) _ o b ↔ a ≤ b)
| _ rfl := coe_le_coe
theorem le_coe_iff [partial_order α] (b : α) : ∀(x : with_top α), x ≤ b ↔ (∃a:α, x = a ∧ a ≤ b)
| (some a) := by simp [some_eq_coe, coe_eq_coe]
| none := by simp [none_eq_top]
theorem coe_le_iff [partial_order α] (a : α) : ∀(x : with_top α), ↑a ≤ x ↔ (∀b:α, x = ↑b → a ≤ b)
| (some b) := by simp [some_eq_coe, coe_eq_coe]
| none := by simp [none_eq_top]
theorem lt_iff_exists_coe [partial_order α] : ∀(a b : with_top α), a < b ↔ (∃p:α, a = p ∧ ↑p < b)
| (some a) b := by simp [some_eq_coe, coe_eq_coe]
| none b := by simp [none_eq_top]
@[norm_cast]
lemma coe_lt_coe [partial_order α] {a b : α} : (a : with_top α) < b ↔ a < b := some_lt_some
lemma coe_lt_top [partial_order α] (a : α) : (a : with_top α) < ⊤ := some_lt_none
lemma not_top_le_coe [partial_order α] (a : α) : ¬ (⊤:with_top α) ≤ ↑a :=
assume h, (lt_irrefl ⊤ (lt_of_le_of_lt h (coe_lt_top a))).elim
instance linear_order [linear_order α] : linear_order (with_top α) :=
{ le_total := λ o₁ o₂, begin
cases o₁ with a, {exact or.inr le_top},
cases o₂ with b, {exact or.inl le_top},
simp [le_total]
end,
..with_top.partial_order }
instance decidable_linear_order [decidable_linear_order α] : decidable_linear_order (with_top α) :=
{ decidable_le := λ a b, begin
cases b with b,
{ exact is_true le_top },
cases a with a,
{ exact is_false (mt (le_antisymm le_top) (by simp)) },
{ exact decidable_of_iff _ some_le_some }
end,
..with_top.linear_order }
instance semilattice_inf [semilattice_inf α] : semilattice_inf_top (with_top α) :=
{ inf := option.lift_or_get (⊓),
inf_le_left := λ o₁ o₂ a ha,
by cases ha; cases o₂; simp [option.lift_or_get],
inf_le_right := λ o₁ o₂ a ha,
by cases ha; cases o₁; simp [option.lift_or_get],
le_inf := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases o₂ with b; cases o₃ with c; cases ha,
{ exact h₂ a rfl },
{ exact h₁ a rfl },
{ rcases h₁ b rfl with ⟨d, ⟨⟩, h₁'⟩,
simp at h₂,
exact ⟨d, rfl, le_inf h₁' h₂⟩ }
end,
..with_top.order_top }
lemma coe_inf [semilattice_inf α] (a b : α) : ((a ⊓ b : α) : with_top α) = a ⊓ b := rfl
instance semilattice_sup [semilattice_sup α] : semilattice_sup_top (with_top α) :=
{ sup := λ o₁ o₂, o₁.bind (λ a, o₂.map (λ b, a ⊔ b)),
le_sup_left := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, le_sup_left⟩
end,
le_sup_right := λ o₁ o₂ a ha, begin
simp at ha, rcases ha with ⟨b, rfl, c, rfl, rfl⟩,
exact ⟨_, rfl, le_sup_right⟩
end,
sup_le := λ o₁ o₂ o₃ h₁ h₂ a ha, begin
cases ha,
rcases h₁ a rfl with ⟨b, ⟨⟩, ab⟩,
rcases h₂ a rfl with ⟨c, ⟨⟩, ac⟩,
exact ⟨_, rfl, sup_le ab ac⟩
end,
..with_top.order_top }
lemma coe_sup [semilattice_sup α] (a b : α) : ((a ⊔ b : α) : with_top α) = a ⊔ b := rfl
instance lattice [lattice α] : lattice (with_top α) :=
{ ..with_top.semilattice_sup, ..with_top.semilattice_inf }
theorem lattice_eq_DLO [decidable_linear_order α] :
lattice_of_decidable_linear_order = @with_top.lattice α _ :=
lattice.ext $ λ x y, iff.rfl
theorem sup_eq_max [decidable_linear_order α] (x y : with_top α) : x ⊔ y = max x y :=
by rw [← sup_eq_max, lattice_eq_DLO]
theorem inf_eq_min [decidable_linear_order α] (x y : with_top α) : x ⊓ y = min x y :=
by rw [← inf_eq_min, lattice_eq_DLO]
instance order_bot [order_bot α] : order_bot (with_top α) :=
{ bot := some ⊥,
bot_le := λ o a ha, by cases ha; exact ⟨_, rfl, bot_le⟩,
..with_top.partial_order }
instance bounded_lattice [bounded_lattice α] : bounded_lattice (with_top α) :=
{ ..with_top.lattice, ..with_top.order_top, ..with_top.order_bot }
lemma well_founded_lt {α : Type*} [partial_order α] (h : well_founded ((<) : α → α → Prop)) :
well_founded ((<) : with_top α → with_top α → Prop) :=
have acc_some : ∀ a : α, acc ((<) : with_top α → with_top α → Prop) (some a) :=
λ a, acc.intro _ (well_founded.induction h a
(show ∀ b, (∀ c, c < b → ∀ d : with_top α, d < some c → acc (<) d) →
∀ y : with_top α, y < some b → acc (<) y,
from λ b ih c, option.rec_on c (λ hc, (not_lt_of_ge le_top hc).elim)
(λ c hc, acc.intro _ (ih _ (some_lt_some.1 hc))))),
⟨λ a, option.rec_on a (acc.intro _ (λ y, option.rec_on y (λ h, (lt_irrefl _ h).elim)
(λ _ _, acc_some _))) acc_some⟩
instance densely_ordered [partial_order α] [densely_ordered α] [no_top_order α] :
densely_ordered (with_top α) :=
⟨ assume a b,
match a, b with
| none, a := assume h : ⊤ < a, (not_top_lt h).elim
| some a, none := assume h, let ⟨b, hb⟩ := no_top a in ⟨b, coe_lt_coe.2 hb, coe_lt_top b⟩
| some a, some b := assume h, let ⟨a, ha₁, ha₂⟩ := exists_between (coe_lt_coe.1 h) in
⟨a, coe_lt_coe.2 ha₁, coe_lt_coe.2 ha₂⟩
end⟩
lemma lt_iff_exists_coe_btwn [partial_order α] [densely_ordered α] [no_top_order α]
{a b : with_top α} :
(a < b) ↔ (∃ x : α, a < ↑x ∧ ↑x < b) :=
⟨λ h, let ⟨y, hy⟩ := exists_between h, ⟨x, hx⟩ := (lt_iff_exists_coe _ _).1 hy.2 in ⟨x, hx.1 ▸ hy⟩,
λ ⟨x, hx⟩, lt_trans hx.1 hx.2⟩
end with_top
namespace subtype
/-- A subtype forms a `⊔`-semilattice if `⊔` preserves the property. -/
protected def semilattice_sup [semilattice_sup α] {P : α → Prop}
(Psup : ∀⦃x y⦄, P x → P y → P (x ⊔ y)) : semilattice_sup {x : α // P x} :=
{ sup := λ x y, ⟨x.1 ⊔ y.1, Psup x.2 y.2⟩,
le_sup_left := λ x y, @le_sup_left _ _ (x : α) y,
le_sup_right := λ x y, @le_sup_right _ _ (x : α) y,
sup_le := λ x y z h1 h2, @sup_le α _ _ _ _ h1 h2,
..subtype.partial_order P }
/-- A subtype forms a `⊓`-semilattice if `⊓` preserves the property. -/
protected def semilattice_inf [semilattice_inf α] {P : α → Prop}
(Pinf : ∀⦃x y⦄, P x → P y → P (x ⊓ y)) : semilattice_inf {x : α // P x} :=
{ inf := λ x y, ⟨x.1 ⊓ y.1, Pinf x.2 y.2⟩,
inf_le_left := λ x y, @inf_le_left _ _ (x : α) y,
inf_le_right := λ x y, @inf_le_right _ _ (x : α) y,
le_inf := λ x y z h1 h2, @le_inf α _ _ _ _ h1 h2,
..subtype.partial_order P }
/-- A subtype forms a `⊔`-`⊥`-semilattice if `⊥` and `⊔` preserve the property. -/
protected def semilattice_sup_bot [semilattice_sup_bot α] {P : α → Prop}
(Pbot : P ⊥) (Psup : ∀⦃x y⦄, P x → P y → P (x ⊔ y)) : semilattice_sup_bot {x : α // P x} :=
{ bot := ⟨⊥, Pbot⟩,
bot_le := λ x, @bot_le α _ x,
..subtype.semilattice_sup Psup }
/-- A subtype forms a `⊓`-`⊥`-semilattice if `⊥` and `⊓` preserve the property. -/
protected def semilattice_inf_bot [semilattice_inf_bot α] {P : α → Prop}
(Pbot : P ⊥) (Pinf : ∀⦃x y⦄, P x → P y → P (x ⊓ y)) : semilattice_inf_bot {x : α // P x} :=
{ bot := ⟨⊥, Pbot⟩,
bot_le := λ x, @bot_le α _ x,
..subtype.semilattice_inf Pinf }
/-- A subtype forms a `⊓`-`⊤`-semilattice if `⊤` and `⊓` preserve the property. -/
protected def semilattice_inf_top [semilattice_inf_top α] {P : α → Prop}
(Ptop : P ⊤) (Pinf : ∀{{x y}}, P x → P y → P (x ⊓ y)) : semilattice_inf_top {x : α // P x} :=
{ top := ⟨⊤, Ptop⟩,
le_top := λ x, @le_top α _ x,
..subtype.semilattice_inf Pinf }
/-- A subtype forms a lattice if `⊔` and `⊓` preserve the property. -/
protected def lattice [lattice α] {P : α → Prop}
(Psup : ∀⦃x y⦄, P x → P y → P (x ⊔ y)) (Pinf : ∀⦃x y⦄, P x → P y → P (x ⊓ y)) :
lattice {x : α // P x} :=
{ ..subtype.semilattice_inf Pinf, ..subtype.semilattice_sup Psup }
end subtype
namespace order_dual
variable (α)
instance [has_bot α] : has_top (order_dual α) := ⟨(⊥ : α)⟩
instance [has_top α] : has_bot (order_dual α) := ⟨(⊤ : α)⟩
instance [order_bot α] : order_top (order_dual α) :=
{ le_top := @bot_le α _,
.. order_dual.partial_order α, .. order_dual.has_top α }
instance [order_top α] : order_bot (order_dual α) :=
{ bot_le := @le_top α _,
.. order_dual.partial_order α, .. order_dual.has_bot α }
instance [semilattice_inf_bot α] : semilattice_sup_top (order_dual α) :=
{ .. order_dual.semilattice_sup α, .. order_dual.order_top α }
instance [semilattice_inf_top α] : semilattice_sup_bot (order_dual α) :=
{ .. order_dual.semilattice_sup α, .. order_dual.order_bot α }
instance [semilattice_sup_bot α] : semilattice_inf_top (order_dual α) :=
{ .. order_dual.semilattice_inf α, .. order_dual.order_top α }
instance [semilattice_sup_top α] : semilattice_inf_bot (order_dual α) :=
{ .. order_dual.semilattice_inf α, .. order_dual.order_bot α }
instance [bounded_lattice α] : bounded_lattice (order_dual α) :=
{ .. order_dual.lattice α, .. order_dual.order_top α, .. order_dual.order_bot α }
instance [bounded_distrib_lattice α] : bounded_distrib_lattice (order_dual α) :=
{ .. order_dual.bounded_lattice α, .. order_dual.distrib_lattice α }
end order_dual
namespace prod
variables (α β)
instance [has_top α] [has_top β] : has_top (α × β) := ⟨⟨⊤, ⊤⟩⟩
instance [has_bot α] [has_bot β] : has_bot (α × β) := ⟨⟨⊥, ⊥⟩⟩
instance [order_top α] [order_top β] : order_top (α × β) :=
{ le_top := assume a, ⟨le_top, le_top⟩,
.. prod.partial_order α β, .. prod.has_top α β }
instance [order_bot α] [order_bot β] : order_bot (α × β) :=
{ bot_le := assume a, ⟨bot_le, bot_le⟩,
.. prod.partial_order α β, .. prod.has_bot α β }
instance [semilattice_sup_top α] [semilattice_sup_top β] : semilattice_sup_top (α × β) :=
{ .. prod.semilattice_sup α β, .. prod.order_top α β }
instance [semilattice_inf_top α] [semilattice_inf_top β] : semilattice_inf_top (α × β) :=
{ .. prod.semilattice_inf α β, .. prod.order_top α β }
instance [semilattice_sup_bot α] [semilattice_sup_bot β] : semilattice_sup_bot (α × β) :=
{ .. prod.semilattice_sup α β, .. prod.order_bot α β }
instance [semilattice_inf_bot α] [semilattice_inf_bot β] : semilattice_inf_bot (α × β) :=
{ .. prod.semilattice_inf α β, .. prod.order_bot α β }
instance [bounded_lattice α] [bounded_lattice β] : bounded_lattice (α × β) :=
{ .. prod.lattice α β, .. prod.order_top α β, .. prod.order_bot α β }
instance [bounded_distrib_lattice α] [bounded_distrib_lattice β] :
bounded_distrib_lattice (α × β) :=
{ .. prod.bounded_lattice α β, .. prod.distrib_lattice α β }
end prod
section disjoint
section semilattice_inf_bot
variable [semilattice_inf_bot α]
/-- Two elements of a lattice are disjoint if their inf is the bottom element.
(This generalizes disjoint sets, viewed as members of the subset lattice.) -/
def disjoint (a b : α) : Prop := a ⊓ b ≤ ⊥
theorem disjoint.eq_bot {a b : α} (h : disjoint a b) : a ⊓ b = ⊥ :=
eq_bot_iff.2 h
theorem disjoint_iff {a b : α} : disjoint a b ↔ a ⊓ b = ⊥ :=
eq_bot_iff.symm
theorem disjoint.comm {a b : α} : disjoint a b ↔ disjoint b a :=
by rw [disjoint, disjoint, inf_comm]
@[symm] theorem disjoint.symm ⦃a b : α⦄ : disjoint a b → disjoint b a :=
disjoint.comm.1
@[simp] theorem disjoint_bot_left {a : α} : disjoint ⊥ a := disjoint_iff.2 bot_inf_eq
@[simp] theorem disjoint_bot_right {a : α} : disjoint a ⊥ := disjoint_iff.2 inf_bot_eq
theorem disjoint.mono {a b c d : α} (h₁ : a ≤ b) (h₂ : c ≤ d) :
disjoint b d → disjoint a c := le_trans (inf_le_inf h₁ h₂)
theorem disjoint.mono_left {a b c : α} (h : a ≤ b) : disjoint b c → disjoint a c :=
disjoint.mono h (le_refl _)
theorem disjoint.mono_right {a b c : α} (h : b ≤ c) : disjoint a c → disjoint a b :=
disjoint.mono (le_refl _) h
@[simp] lemma disjoint_self {a : α} : disjoint a a ↔ a = ⊥ :=
by simp [disjoint]
lemma disjoint.ne {a b : α} (ha : a ≠ ⊥) (hab : disjoint a b) : a ≠ b :=
by { intro h, rw [←h, disjoint_self] at hab, exact ha hab }
end semilattice_inf_bot
section bounded_distrib_lattice
variables [bounded_distrib_lattice α] {a b c : α}
@[simp] lemma disjoint_sup_left : disjoint (a ⊔ b) c ↔ disjoint a c ∧ disjoint b c :=
by simp only [disjoint_iff, inf_sup_right, sup_eq_bot_iff]
@[simp] lemma disjoint_sup_right : disjoint a (b ⊔ c) ↔ disjoint a b ∧ disjoint a c :=
by simp only [disjoint_iff, inf_sup_left, sup_eq_bot_iff]
lemma disjoint.sup_left (ha : disjoint a c) (hb : disjoint b c) : disjoint (a ⊔ b) c :=
disjoint_sup_left.2 ⟨ha, hb⟩
lemma disjoint.sup_right (hb : disjoint a b) (hc : disjoint a c) : disjoint a (b ⊔ c) :=
disjoint_sup_right.2 ⟨hb, hc⟩
end bounded_distrib_lattice
end disjoint
/-!
### `is_compl` predicate
-/
/-- Two elements `x` and `y` are complements of each other if
`x ⊔ y = ⊤` and `x ⊓ y = ⊥`. -/
structure is_compl [bounded_lattice α] (x y : α) : Prop :=
(inf_le_bot : x ⊓ y ≤ ⊥)
(top_le_sup : ⊤ ≤ x ⊔ y)
namespace is_compl
section bounded_lattice
variables [bounded_lattice α] {x y z : α}
protected lemma disjoint (h : is_compl x y) : disjoint x y := h.1
@[symm] protected lemma symm (h : is_compl x y) : is_compl y x :=
⟨by { rw inf_comm, exact h.1 }, by { rw sup_comm, exact h.2 }⟩
lemma of_eq (h₁ : x ⊓ y = ⊥) (h₂ : x ⊔ y = ⊤) : is_compl x y :=
⟨le_of_eq h₁, le_of_eq h₂.symm⟩
lemma inf_eq_bot (h : is_compl x y) : x ⊓ y = ⊥ := h.disjoint.eq_bot
lemma sup_eq_top (h : is_compl x y) : x ⊔ y = ⊤ := top_unique h.top_le_sup
lemma to_order_dual (h : is_compl x y) : @is_compl (order_dual α) _ x y := ⟨h.2, h.1⟩
end bounded_lattice
variables [bounded_distrib_lattice α] {x y z : α}
lemma le_left_iff (h : is_compl x y) : z ≤ x ↔ disjoint z y :=
⟨λ hz, h.disjoint.mono_left hz,
λ hz, le_of_inf_le_sup_le (le_trans hz bot_le) (le_trans le_top h.top_le_sup)⟩
lemma le_right_iff (h : is_compl x y) : z ≤ y ↔ disjoint z x :=
h.symm.le_left_iff
lemma left_le_iff (h : is_compl x y) : x ≤ z ↔ ⊤ ≤ z ⊔ y :=
h.to_order_dual.le_left_iff
lemma right_le_iff (h : is_compl x y) : y ≤ z ↔ ⊤ ≤ z ⊔ x :=
h.symm.left_le_iff
lemma antimono {x' y'} (h : is_compl x y) (h' : is_compl x' y') (hx : x ≤ x') :
y' ≤ y :=
h'.right_le_iff.2 $ le_trans h.symm.top_le_sup (sup_le_sup_left hx _)
lemma right_unique (hxy : is_compl x y) (hxz : is_compl x z) :
y = z :=
le_antisymm (hxz.antimono hxy $ le_refl x) (hxy.antimono hxz $ le_refl x)
lemma left_unique (hxz : is_compl x z) (hyz : is_compl y z) :
x = y :=
hxz.symm.right_unique hyz.symm
lemma sup_inf {x' y'} (h : is_compl x y) (h' : is_compl x' y') :
is_compl (x ⊔ x') (y ⊓ y') :=
of_eq
(by rw [inf_sup_right, ← inf_assoc, h.inf_eq_bot, bot_inf_eq, bot_sup_eq, inf_left_comm,
h'.inf_eq_bot, inf_bot_eq])
(by rw [sup_inf_left, @sup_comm _ _ x, sup_assoc, h.sup_eq_top, sup_top_eq, top_inf_eq,
sup_assoc, sup_left_comm, h'.sup_eq_top, sup_top_eq])
lemma inf_sup {x' y'} (h : is_compl x y) (h' : is_compl x' y') :
is_compl (x ⊓ x') (y ⊔ y') :=
(h.symm.sup_inf h'.symm).symm
lemma inf_left_eq_bot_iff (h : is_compl y z) : x ⊓ y = ⊥ ↔ x ≤ z :=
inf_eq_bot_iff_le_compl h.sup_eq_top h.inf_eq_bot
lemma inf_right_eq_bot_iff (h : is_compl y z) : x ⊓ z = ⊥ ↔ x ≤ y :=
h.symm.inf_left_eq_bot_iff
lemma disjoint_left_iff (h : is_compl y z) : disjoint x y ↔ x ≤ z :=
disjoint_iff.trans h.inf_left_eq_bot_iff
lemma disjoint_right_iff (h : is_compl y z) : disjoint x z ↔ x ≤ y :=
h.symm.disjoint_left_iff
end is_compl
lemma is_compl_bot_top [bounded_lattice α] : is_compl (⊥ : α) ⊤ :=
is_compl.of_eq bot_inf_eq sup_top_eq
lemma is_compl_top_bot [bounded_lattice α] : is_compl (⊤ : α) ⊥ :=
is_compl.of_eq inf_bot_eq top_sup_eq
|
0d6e65a6987ff596066b3b03fbefd3bad58c3dcb | 9b9a16fa2cb737daee6b2785474678b6fa91d6d4 | /src/linear_algebra/determinant.lean | 1de8ec26714490d9139de6176234cc43299b28b4 | [
"Apache-2.0"
] | permissive | johoelzl/mathlib | 253f46daa30b644d011e8e119025b01ad69735c4 | 592e3c7a2dfbd5826919b4605559d35d4d75938f | refs/heads/master | 1,625,657,216,488 | 1,551,374,946,000 | 1,551,374,946,000 | 98,915,829 | 0 | 0 | Apache-2.0 | 1,522,917,267,000 | 1,501,524,499,000 | Lean | UTF-8 | Lean | false | false | 5,519 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Chris Hughes
-/
import data.matrix
import group_theory.subgroup group_theory.perm
universes u v
open equiv equiv.perm finset function
namespace matrix
variables {n : Type u} [fintype n] [decidable_eq n] {R : Type v} [comm_ring R]
definition det (M : matrix n n R) : R :=
univ.sum (λ (σ : perm n), sign σ * univ.prod (λ i, M (σ i) i))
@[simp] lemma det_diagonal {d : n → R} : det (diagonal d) = univ.prod d :=
begin
refine (finset.sum_eq_single 1 _ _).trans _,
{ intros σ h1 h2,
cases not_forall.1 (mt (equiv.ext _ _) h2) with x h3,
convert ring.mul_zero _,
apply finset.prod_eq_zero,
{ change x ∈ _, simp },
exact if_neg h3 },
{ simp },
{ simp }
end
@[simp] lemma det_zero (h : nonempty n) : det (0 : matrix n n R) = 0 :=
by rw [← diagonal_zero, det_diagonal, finset.prod_const, ← fintype.card,
zero_pow (fintype.card_pos_iff.2 h)]
@[simp] lemma det_one : det (1 : matrix n n R) = 1 :=
by rw [← diagonal_one]; simp [-diagonal_one]
lemma det_mul_aux {M N : matrix n n R} {p : n → n} (H : ¬bijective p) :
univ.sum (λ σ : perm n, (sign σ : R) * (univ.prod (λ x, M (σ x) (p x) * N (p x) x))) = 0 :=
let ⟨i, hi⟩ := classical.not_forall.1 (mt fintype.injective_iff_bijective.1 H) in
let ⟨j, hij'⟩ := classical.not_forall.1 hi in
have hij : p i = p j ∧ i ≠ j, from not_imp.1 hij',
sum_involution
(λ σ _, σ * swap i j)
(λ σ _,
have ∀ a, p (swap i j a) = p a := λ a, by simp only [swap_apply_def]; split_ifs; cc,
have univ.prod (λ x, M (σ x) (p x)) = univ.prod (λ x, M ((σ * swap i j) x) (p x)),
from prod_bij (λ a _, swap i j a) (λ _ _, mem_univ _) (by simp [this])
(λ _ _ _ _ h, (swap i j).bijective.1 h)
(λ b _, ⟨swap i j b, mem_univ _, by simp⟩),
by simp [sign_mul, this, sign_swap hij.2, prod_mul_distrib])
(λ σ _ _ h, hij.2 (σ.bijective.1 $ by conv {to_lhs, rw ← h}; simp))
(λ _ _, mem_univ _)
(λ _ _, equiv.ext _ _ $ by simp)
@[simp] lemma det_mul (M N : matrix n n R) : det (M * N) = det M * det N :=
calc det (M * N) = univ.sum (λ σ : perm n, (univ.pi (λ a, univ)).sum
(λ (p : Π (a : n), a ∈ univ → n), sign σ *
univ.attach.prod (λ i, M (σ i.1) (p i.1 (mem_univ _)) * N (p i.1 (mem_univ _)) i.1))) :
by simp only [det, mul_val', prod_sum, mul_sum]
... = univ.sum (λ σ : perm n, univ.sum
(λ p : n → n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) :
sum_congr rfl (λ σ _, sum_bij
(λ f h i, f i (mem_univ _)) (λ _ _, mem_univ _)
(by simp) (by simp [funext_iff]) (λ b _, ⟨λ i hi, b i, by simp⟩))
... = univ.sum (λ p : n → n, univ.sum
(λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) :
finset.sum_comm
... = ((@univ (n → n) _).filter bijective ∪ univ.filter (λ p : n → n, ¬bijective p)).sum
(λ p : n → n, univ.sum (λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) :
finset.sum_congr (finset.ext.2 (by simp; tauto)) (λ _ _, rfl)
... = ((@univ (n → n) _).filter bijective).sum (λ p : n → n, univ.sum
(λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) +
(univ.filter (λ p : n → n, ¬bijective p)).sum (λ p : n → n, univ.sum
(λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) :
finset.sum_union (by simp [finset.ext]; tauto)
... = ((@univ (n → n) _).filter bijective).sum (λ p : n → n, univ.sum
(λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) +
(univ.filter (λ p : n → n, ¬bijective p)).sum (λ p, 0) :
(add_left_inj _).2 (finset.sum_congr rfl $ λ p h, det_mul_aux (mem_filter.1 h).2)
... = ((@univ (n → n) _).filter bijective).sum (λ p : n → n, univ.sum
(λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (p i) * N (p i) i))) : by simp
... = (@univ (perm n) _).sum (λ τ, univ.sum
(λ σ : perm n, sign σ * univ.prod (λ i, M (σ i) (τ i) * N (τ i) i))) :
sum_bij (λ p h, equiv.of_bijective (mem_filter.1 h).2) (λ _ _, mem_univ _)
(λ _ _, rfl) (λ _ _ _ _ h, by injection h)
(λ b _, ⟨b, mem_filter.2 ⟨mem_univ _, b.bijective⟩, eq_of_to_fun_eq rfl⟩)
... = univ.sum (λ σ : perm n, univ.sum (λ τ : perm n,
(univ.prod (λ i, N (σ i) i) * sign τ) * univ.prod (λ j, M (τ j) (σ j)))) :
by simp [mul_sum, det, mul_comm, mul_left_comm, prod_mul_distrib, mul_assoc]
... = univ.sum (λ σ : perm n, univ.sum (λ τ : perm n,
(univ.prod (λ i, N (σ i) i) * (sign σ * sign τ)) *
univ.prod (λ i, M (τ i) i))) :
sum_congr rfl (λ σ _, sum_bij (λ τ _, τ * σ⁻¹) (λ _ _, mem_univ _)
(λ τ _,
have univ.prod (λ j, M (τ j) (σ j)) = univ.prod (λ j, M ((τ * σ⁻¹) j) j),
by rw prod_univ_perm σ⁻¹; simp [mul_apply],
have h : (sign σ * sign (τ * σ⁻¹) : R) = sign τ :=
calc (sign σ * sign (τ * σ⁻¹) : R) = sign ((τ * σ⁻¹) * σ) :
by rw [mul_comm, sign_mul (τ * σ⁻¹)]; simp [sign_mul]
... = sign τ : by simp,
by rw h; simp [this, mul_comm, mul_assoc, mul_left_comm])
(λ _ _ _ _, (mul_right_inj _).1) (λ τ _, ⟨τ * σ, by simp⟩))
... = det M * det N : by simp [det, mul_assoc, mul_sum, mul_comm, mul_left_comm]
instance : is_monoid_hom (det : matrix n n R → R) :=
{ map_one := det_one,
map_mul := det_mul }
end matrix
|
b715a7e92c93bf4d34babda382264762dea14642 | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/number_theory/padics/padic_norm.lean | c6c0e3af471778d988b877a1814981ec74dfd04d | [
"Apache-2.0"
] | permissive | AntoineChambert-Loir/mathlib | 64aabb896129885f12296a799818061bc90da1ff | 07be904260ab6e36a5769680b6012f03a4727134 | refs/heads/master | 1,693,187,631,771 | 1,636,719,886,000 | 1,636,719,886,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 27,966 | lean | /-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import algebra.order.absolute_value
import algebra.field_power
import ring_theory.int.basic
import tactic.basic
import tactic.ring_exp
/-!
# p-adic norm
This file defines the p-adic valuation and the p-adic norm on ℚ.
The p-adic valuation on ℚ is the difference of the multiplicities of `p` in the numerator and
denominator of `q`. This function obeys the standard properties of a valuation, with the appropriate
assumptions on p.
The valuation induces a norm on ℚ. This norm is a nonarchimedean absolute value.
It takes values in {0} ∪ {1/p^k | k ∈ ℤ}.
## Notations
This file uses the local notation `/.` for `rat.mk`.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking `[fact (prime p)]` as a type class argument.
## References
* [F. Q. Gouêva, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/P-adic_number>
## Tags
p-adic, p adic, padic, norm, valuation
-/
universe u
open nat
open_locale rat
open multiplicity
/--
For `p ≠ 1`, the p-adic valuation of an integer `z ≠ 0` is the largest natural number `n` such that
p^n divides z.
`padic_val_rat` defines the valuation of a rational `q` to be the valuation of `q.num` minus the
valuation of `q.denom`.
If `q = 0` or `p = 1`, then `padic_val_rat p q` defaults to 0.
-/
def padic_val_rat (p : ℕ) (q : ℚ) : ℤ :=
if h : q ≠ 0 ∧ p ≠ 1
then (multiplicity (p : ℤ) q.num).get
(multiplicity.finite_int_iff.2 ⟨h.2, rat.num_ne_zero_of_ne_zero h.1⟩) -
(multiplicity (p : ℤ) q.denom).get
(multiplicity.finite_int_iff.2 ⟨h.2, by exact_mod_cast rat.denom_ne_zero _⟩)
else 0
/--
A simplification of the definition of `padic_val_rat p q` when `q ≠ 0` and `p` is prime.
-/
lemma padic_val_rat_def (p : ℕ) [hp : fact p.prime] {q : ℚ} (hq : q ≠ 0) : padic_val_rat p q =
(multiplicity (p : ℤ) q.num).get (finite_int_iff.2 ⟨hp.1.ne_one, rat.num_ne_zero_of_ne_zero hq⟩) -
(multiplicity (p : ℤ) q.denom).get
(finite_int_iff.2 ⟨hp.1.ne_one, by exact_mod_cast rat.denom_ne_zero _⟩) :=
dif_pos ⟨hq, hp.1.ne_one⟩
namespace padic_val_rat
open multiplicity
variables {p : ℕ}
/--
`padic_val_rat p q` is symmetric in `q`.
-/
@[simp] protected lemma neg (q : ℚ) : padic_val_rat p (-q) = padic_val_rat p q :=
begin
unfold padic_val_rat,
split_ifs,
{ simp [-add_comm]; refl },
{ exfalso, simp * at * },
{ exfalso, simp * at * },
{ refl }
end
/--
`padic_val_rat p 1` is 0 for any `p`.
-/
@[simp] protected lemma one : padic_val_rat p 1 = 0 :=
by unfold padic_val_rat; split_ifs; simp *
/--
For `p ≠ 0, p ≠ 1, `padic_val_rat p p` is 1.
-/
@[simp] lemma padic_val_rat_self (hp : 1 < p) : padic_val_rat p p = 1 :=
by unfold padic_val_rat; split_ifs; simp [*, nat.one_lt_iff_ne_zero_and_ne_one] at *
/--
The p-adic value of an integer `z ≠ 0` is the multiplicity of `p` in `z`.
-/
lemma padic_val_rat_of_int (z : ℤ) (hp : p ≠ 1) (hz : z ≠ 0) :
padic_val_rat p (z : ℚ) = (multiplicity (p : ℤ) z).get
(finite_int_iff.2 ⟨hp, hz⟩) :=
by rw [padic_val_rat, dif_pos]; simp *; refl
end padic_val_rat
/--
A convenience function for the case of `padic_val_rat` when both inputs are natural numbers.
-/
def padic_val_nat (p : ℕ) (n : ℕ) : ℕ :=
int.to_nat (padic_val_rat p n)
section padic_val_nat
/--
`padic_val_nat` is defined as an `int.to_nat` cast;
this lemma ensures that the cast is well-behaved.
-/
lemma zero_le_padic_val_rat_of_nat (p n : ℕ) : 0 ≤ padic_val_rat p n :=
begin
unfold padic_val_rat,
split_ifs,
{ simp, },
{ trivial, },
end
/--
`padic_val_rat` coincides with `padic_val_nat`.
-/
@[simp, norm_cast] lemma padic_val_rat_of_nat (p n : ℕ) :
↑(padic_val_nat p n) = padic_val_rat p n :=
begin
unfold padic_val_nat,
rw int.to_nat_of_nonneg (zero_le_padic_val_rat_of_nat p n),
end
/--
A simplification of `padic_val_nat` when one input is prime, by analogy with `padic_val_rat_def`.
-/
lemma padic_val_nat_def {p : ℕ} [hp : fact p.prime] {n : ℕ} (hn : n ≠ 0) :
padic_val_nat p n =
(multiplicity p n).get
(multiplicity.finite_nat_iff.2 ⟨nat.prime.ne_one hp.1, bot_lt_iff_ne_bot.mpr hn⟩) :=
begin
have n_nonzero : (n : ℚ) ≠ 0, by simpa only [cast_eq_zero, ne.def],
-- Infinite loop with @simp padic_val_rat_of_nat unless we restrict the available lemmas here,
-- hence the very long list
simpa only
[ int.coe_nat_multiplicity p n, rat.coe_nat_denom n, (padic_val_rat_of_nat p n).symm,
int.coe_nat_zero, int.coe_nat_inj', sub_zero, get_one_right, int.coe_nat_succ, zero_add,
rat.coe_nat_num ]
using padic_val_rat_def p n_nonzero,
end
lemma one_le_padic_val_nat_of_dvd
{n p : nat} [prime : fact p.prime] (nonzero : n ≠ 0) (div : p ∣ n) :
1 ≤ padic_val_nat p n :=
begin
rw @padic_val_nat_def _ prime _ nonzero,
let one_le_mul : _ ≤ multiplicity p n :=
@multiplicity.le_multiplicity_of_pow_dvd _ _ _ p n 1 (begin norm_num, exact div end),
simp only [nat.cast_one] at one_le_mul,
rcases one_le_mul with ⟨_, q⟩,
dsimp at q,
solve_by_elim,
end
@[simp]
lemma padic_val_nat_zero (m : nat) : padic_val_nat m 0 = 0 := by simpa
@[simp]
lemma padic_val_nat_one (m : nat) : padic_val_nat m 1 = 0 := by simp [padic_val_nat]
end padic_val_nat
namespace padic_val_rat
open multiplicity
variables (p : ℕ) [p_prime : fact p.prime]
include p_prime
/--
The multiplicity of `p : ℕ` in `a : ℤ` is finite exactly when `a ≠ 0`.
-/
lemma finite_int_prime_iff {p : ℕ} [p_prime : fact p.prime] {a : ℤ} : finite (p : ℤ) a ↔ a ≠ 0 :=
by simp [finite_int_iff, ne.symm (ne_of_lt (p_prime.1.one_lt))]
/--
A rewrite lemma for `padic_val_rat p q` when `q` is expressed in terms of `rat.mk`.
-/
protected lemma defn {q : ℚ} {n d : ℤ} (hqz : q ≠ 0) (qdf : q = n /. d) :
padic_val_rat p q = (multiplicity (p : ℤ) n).get (finite_int_iff.2
⟨ne.symm $ ne_of_lt p_prime.1.one_lt, λ hn, by simp * at *⟩) -
(multiplicity (p : ℤ) d).get (finite_int_iff.2 ⟨ne.symm $ ne_of_lt p_prime.1.one_lt,
λ hd, by simp * at *⟩) :=
have hn : n ≠ 0, from rat.mk_num_ne_zero_of_ne_zero hqz qdf,
have hd : d ≠ 0, from rat.mk_denom_ne_zero_of_ne_zero hqz qdf,
let ⟨c, hc1, hc2⟩ := rat.num_denom_mk hn hd qdf in
by rw [padic_val_rat, dif_pos];
simp [hc1, hc2, multiplicity.mul' (nat.prime_iff_prime_int.1 p_prime.1),
(ne.symm (ne_of_lt p_prime.1.one_lt)), hqz]
/--
A rewrite lemma for `padic_val_rat p (q * r)` with conditions `q ≠ 0`, `r ≠ 0`.
-/
protected lemma mul {q r : ℚ} (hq : q ≠ 0) (hr : r ≠ 0) :
padic_val_rat p (q * r) = padic_val_rat p q + padic_val_rat p r :=
have q*r = (q.num * r.num) /. (↑q.denom * ↑r.denom), by rw_mod_cast rat.mul_num_denom,
have hq' : q.num /. q.denom ≠ 0, by rw rat.num_denom; exact hq,
have hr' : r.num /. r.denom ≠ 0, by rw rat.num_denom; exact hr,
have hp' : _root_.prime (p : ℤ), from nat.prime_iff_prime_int.1 p_prime.1,
begin
rw [padic_val_rat.defn p (mul_ne_zero hq hr) this],
conv_rhs { rw [←(@rat.num_denom q), padic_val_rat.defn p hq',
←(@rat.num_denom r), padic_val_rat.defn p hr'] },
rw [multiplicity.mul' hp', multiplicity.mul' hp']; simp [add_comm, add_left_comm, sub_eq_add_neg]
end
/--
A rewrite lemma for `padic_val_rat p (q^k)` with condition `q ≠ 0`.
-/
protected lemma pow {q : ℚ} (hq : q ≠ 0) {k : ℕ} :
padic_val_rat p (q ^ k) = k * padic_val_rat p q :=
by induction k; simp [*, padic_val_rat.mul _ hq (pow_ne_zero _ hq),
pow_succ, add_mul, add_comm]
/--
A rewrite lemma for `padic_val_rat p (q⁻¹)` with condition `q ≠ 0`.
-/
protected lemma inv {q : ℚ} (hq : q ≠ 0) :
padic_val_rat p (q⁻¹) = -padic_val_rat p q :=
by rw [eq_neg_iff_add_eq_zero, ← padic_val_rat.mul p (inv_ne_zero hq) hq,
inv_mul_cancel hq, padic_val_rat.one]
/--
A rewrite lemma for `padic_val_rat p (q / r)` with conditions `q ≠ 0`, `r ≠ 0`.
-/
protected lemma div {q r : ℚ} (hq : q ≠ 0) (hr : r ≠ 0) :
padic_val_rat p (q / r) = padic_val_rat p q - padic_val_rat p r :=
by rw [div_eq_mul_inv, padic_val_rat.mul p hq (inv_ne_zero hr),
padic_val_rat.inv p hr, sub_eq_add_neg]
/--
A condition for `padic_val_rat p (n₁ / d₁) ≤ padic_val_rat p (n₂ / d₂),
in terms of divisibility by `p^n`.
-/
lemma padic_val_rat_le_padic_val_rat_iff {n₁ n₂ d₁ d₂ : ℤ}
(hn₁ : n₁ ≠ 0) (hn₂ : n₂ ≠ 0) (hd₁ : d₁ ≠ 0) (hd₂ : d₂ ≠ 0) :
padic_val_rat p (n₁ /. d₁) ≤ padic_val_rat p (n₂ /. d₂) ↔
∀ (n : ℕ), ↑p ^ n ∣ n₁ * d₂ → ↑p ^ n ∣ n₂ * d₁ :=
have hf1 : finite (p : ℤ) (n₁ * d₂),
from finite_int_prime_iff.2 (mul_ne_zero hn₁ hd₂),
have hf2 : finite (p : ℤ) (n₂ * d₁),
from finite_int_prime_iff.2 (mul_ne_zero hn₂ hd₁),
by conv {
to_lhs,
rw [padic_val_rat.defn p (rat.mk_ne_zero_of_ne_zero hn₁ hd₁) rfl,
padic_val_rat.defn p (rat.mk_ne_zero_of_ne_zero hn₂ hd₂) rfl,
sub_le_iff_le_add',
← add_sub_assoc,
le_sub_iff_add_le],
norm_cast,
rw [← multiplicity.mul' (nat.prime_iff_prime_int.1 p_prime.1) hf1, add_comm,
← multiplicity.mul' (nat.prime_iff_prime_int.1 p_prime.1) hf2,
enat.get_le_get, multiplicity_le_multiplicity_iff] }
/--
Sufficient conditions to show that the p-adic valuation of `q` is less than or equal to the
p-adic vlauation of `q + r`.
-/
theorem le_padic_val_rat_add_of_le {q r : ℚ}
(hq : q ≠ 0) (hr : r ≠ 0) (hqr : q + r ≠ 0)
(h : padic_val_rat p q ≤ padic_val_rat p r) :
padic_val_rat p q ≤ padic_val_rat p (q + r) :=
have hqn : q.num ≠ 0, from rat.num_ne_zero_of_ne_zero hq,
have hqd : (q.denom : ℤ) ≠ 0, by exact_mod_cast rat.denom_ne_zero _,
have hrn : r.num ≠ 0, from rat.num_ne_zero_of_ne_zero hr,
have hrd : (r.denom : ℤ) ≠ 0, by exact_mod_cast rat.denom_ne_zero _,
have hqreq : q + r = (((q.num * r.denom + q.denom * r.num : ℤ)) /. (↑q.denom * ↑r.denom : ℤ)),
from rat.add_num_denom _ _,
have hqrd : q.num * ↑(r.denom) + ↑(q.denom) * r.num ≠ 0,
from rat.mk_num_ne_zero_of_ne_zero hqr hqreq,
begin
conv_lhs { rw ←(@rat.num_denom q) },
rw [hqreq, padic_val_rat_le_padic_val_rat_iff p hqn hqrd hqd (mul_ne_zero hqd hrd),
← multiplicity_le_multiplicity_iff, mul_left_comm,
multiplicity.mul (nat.prime_iff_prime_int.1 p_prime.1), add_mul],
rw [←(@rat.num_denom q), ←(@rat.num_denom r),
padic_val_rat_le_padic_val_rat_iff p hqn hrn hqd hrd, ← multiplicity_le_multiplicity_iff] at h,
calc _ ≤ min (multiplicity ↑p (q.num * ↑(r.denom) * ↑(q.denom)))
(multiplicity ↑p (↑(q.denom) * r.num * ↑(q.denom))) : (le_min
(by rw [@multiplicity.mul _ _ _ _ (_ * _) _ (nat.prime_iff_prime_int.1 p_prime.1), add_comm])
(by rw [mul_assoc, @multiplicity.mul _ _ _ _ (q.denom : ℤ)
(_ * _) (nat.prime_iff_prime_int.1 p_prime.1)];
exact add_le_add_left h _))
... ≤ _ : min_le_multiplicity_add
end
/--
The minimum of the valuations of `q` and `r` is less than or equal to the valuation of `q + r`.
-/
theorem min_le_padic_val_rat_add {q r : ℚ}
(hq : q ≠ 0) (hr : r ≠ 0) (hqr : q + r ≠ 0) :
min (padic_val_rat p q) (padic_val_rat p r) ≤ padic_val_rat p (q + r) :=
(le_total (padic_val_rat p q) (padic_val_rat p r)).elim
(λ h, by rw [min_eq_left h]; exact le_padic_val_rat_add_of_le _ hq hr hqr h)
(λ h, by rw [min_eq_right h, add_comm]; exact le_padic_val_rat_add_of_le _ hr hq
(by rwa add_comm) h)
open_locale big_operators
/-- A finite sum of rationals with positive p-adic valuation has positive p-adic valuation
(if the sum is non-zero). -/
theorem sum_pos_of_pos {n : ℕ} {F : ℕ → ℚ}
(hF : ∀ i, i < n → 0 < padic_val_rat p (F i)) (hn0 : ∑ i in finset.range n, F i ≠ 0) :
0 < padic_val_rat p (∑ i in finset.range n, F i) :=
begin
induction n with d hd,
{ exact false.elim (hn0 rfl) },
{ rw finset.sum_range_succ at hn0 ⊢,
by_cases h : ∑ (x : ℕ) in finset.range d, F x = 0,
{ rw [h, zero_add],
exact hF d (lt_add_one _) },
{ refine lt_of_lt_of_le _ (min_le_padic_val_rat_add p h (λ h1, _) hn0),
{ refine lt_min (hd (λ i hi, _) h) (hF d (lt_add_one _)),
exact hF _ (lt_trans hi (lt_add_one _)) },
{ have h2 := hF d (lt_add_one _),
rw h1 at h2,
exact lt_irrefl _ h2 } } }
end
end padic_val_rat
namespace padic_val_nat
/--
A rewrite lemma for `padic_val_nat p (q * r)` with conditions `q ≠ 0`, `r ≠ 0`.
-/
protected lemma mul (p : ℕ) [p_prime : fact p.prime] {q r : ℕ} (hq : q ≠ 0) (hr : r ≠ 0) :
padic_val_nat p (q * r) = padic_val_nat p q + padic_val_nat p r :=
begin
apply int.coe_nat_inj,
simp only [padic_val_rat_of_nat, nat.cast_mul],
rw padic_val_rat.mul,
norm_cast,
exact cast_ne_zero.mpr hq,
exact cast_ne_zero.mpr hr,
end
/--
Dividing out by a prime factor reduces the padic_val_nat by 1.
-/
protected lemma div {p : ℕ} [p_prime : fact p.prime] {b : ℕ} (dvd : p ∣ b) :
(padic_val_nat p (b / p)) = (padic_val_nat p b) - 1 :=
begin
by_cases b_split : (b = 0),
{ simp [b_split], },
{ have split_frac : padic_val_rat p (b / p) = padic_val_rat p b - padic_val_rat p p :=
padic_val_rat.div p (nat.cast_ne_zero.mpr b_split)
(nat.cast_ne_zero.mpr (nat.prime.ne_zero p_prime.1)),
rw padic_val_rat.padic_val_rat_self (nat.prime.one_lt p_prime.1) at split_frac,
have r : 1 ≤ padic_val_nat p b := one_le_padic_val_nat_of_dvd b_split dvd,
exact_mod_cast split_frac, }
end
/-- A version of `padic_val_rat.pow` for `padic_val_nat` -/
protected lemma pow (p q n : ℕ) [fact p.prime] (hq : q ≠ 0) :
padic_val_nat p (q ^ n) = n * padic_val_nat p q :=
begin
apply @nat.cast_injective ℤ,
push_cast,
exact padic_val_rat.pow _ (cast_ne_zero.mpr hq),
end
end padic_val_nat
section padic_val_nat
/--
If a prime doesn't appear in `n`, `padic_val_nat p n` is `0`.
-/
lemma padic_val_nat_of_not_dvd {p : ℕ} [fact p.prime] {n : ℕ} (not_dvd : ¬(p ∣ n)) :
padic_val_nat p n = 0 :=
begin
by_cases hn : n = 0,
{ subst hn, simp at not_dvd, trivial, },
{ rw padic_val_nat_def hn,
exact (@multiplicity.unique' _ _ _ p n 0 (by simp) (by simpa using not_dvd)).symm,
assumption, },
end
lemma dvd_of_one_le_padic_val_nat {n p : nat} [prime : fact p.prime] (hp : 1 ≤ padic_val_nat p n) :
p ∣ n :=
begin
by_contra h,
rw padic_val_nat_of_not_dvd h at hp,
exact lt_irrefl 0 (lt_of_lt_of_le zero_lt_one hp),
end
lemma pow_padic_val_nat_dvd {p n : ℕ} [fact (nat.prime p)] : p ^ (padic_val_nat p n) ∣ n :=
begin
cases nat.eq_zero_or_pos n with hn hn,
{ rw hn, exact dvd_zero (p ^ padic_val_nat p 0) },
{ rw multiplicity.pow_dvd_iff_le_multiplicity,
apply le_of_eq,
rw padic_val_nat_def (ne_of_gt hn),
{ apply enat.coe_get },
{ apply_instance } }
end
lemma pow_succ_padic_val_nat_not_dvd {p n : ℕ} [hp : fact (nat.prime p)] (hn : 0 < n) :
¬ p ^ (padic_val_nat p n + 1) ∣ n :=
begin
{ rw multiplicity.pow_dvd_iff_le_multiplicity,
rw padic_val_nat_def (ne_of_gt hn),
{ rw [nat.cast_add, enat.coe_get],
simp only [nat.cast_one, not_le],
apply enat.lt_add_one (ne_top_iff_finite.2 (finite_nat_iff.2 ⟨hp.elim.ne_one, hn⟩)) },
{ apply_instance } }
end
lemma padic_val_nat_primes {p q : ℕ} [p_prime : fact p.prime] [q_prime : fact q.prime]
(neq : p ≠ q) : padic_val_nat p q = 0 :=
@padic_val_nat_of_not_dvd p p_prime q $
(not_congr (iff.symm (prime_dvd_prime_iff_eq p_prime.1 q_prime.1))).mp neq
protected lemma padic_val_nat.div' {p : ℕ} [p_prime : fact p.prime] :
∀ {m : ℕ} (cpm : coprime p m) {b : ℕ} (dvd : m ∣ b), padic_val_nat p (b / m) = padic_val_nat p b
| 0 := λ cpm b dvd, by { rw zero_dvd_iff at dvd, rw [dvd, nat.zero_div], }
| (n + 1) :=
λ cpm b dvd,
begin
rcases dvd with ⟨c, rfl⟩,
rw [mul_div_right c (nat.succ_pos _)],by_cases hc : c = 0,
{ rw [hc, mul_zero] },
{ rw padic_val_nat.mul,
{ suffices : ¬ p ∣ (n+1),
{ rw [padic_val_nat_of_not_dvd this, zero_add] },
contrapose! cpm,
exact p_prime.1.dvd_iff_not_coprime.mp cpm },
{ exact nat.succ_ne_zero _ },
{ exact hc } },
end
lemma padic_val_nat_eq_factors_count (p : ℕ) [hp : fact p.prime] :
∀ (n : ℕ), padic_val_nat p n = (factors n).count p
| 0 := by simp
| 1 := by simp
| (m + 2) :=
let n := m + 2 in
let q := min_fac n in
have hq : fact q.prime := ⟨min_fac_prime (show m + 2 ≠ 1, by linarith)⟩,
have wf : n / q < n := nat.div_lt_self (nat.succ_pos _) hq.1.one_lt,
begin
rw factors_add_two,
show padic_val_nat p n = list.count p (q :: (factors (n / q))),
rw [list.count_cons', ← padic_val_nat_eq_factors_count],
split_ifs with h,
have p_dvd_n : p ∣ n,
{ have: q ∣ n := nat.min_fac_dvd n,
cc },
{ rw [←h, padic_val_nat.div],
{ have: 1 ≤ padic_val_nat p n := one_le_padic_val_nat_of_dvd (by linarith) p_dvd_n,
exact (tsub_eq_iff_eq_add_of_le this).mp rfl, },
{ exact p_dvd_n, }, },
{ suffices : p.coprime q,
{ rw [padic_val_nat.div' this (min_fac_dvd n), add_zero], },
rwa nat.coprime_primes hp.1 hq.1, },
end
@[simp] lemma padic_val_nat_self (p : ℕ) [fact p.prime] : padic_val_nat p p = 1 :=
by simp [padic_val_nat_def (fact.out p.prime).ne_zero]
@[simp] lemma padic_val_nat_prime_pow (p n : ℕ) [fact p.prime] : padic_val_nat p (p ^ n) = n :=
by rw [padic_val_nat.pow p _ _ (fact.out p.prime).ne_zero, padic_val_nat_self p, mul_one]
open_locale big_operators
lemma prod_pow_prime_padic_val_nat (n : nat) (hn : n ≠ 0) (m : nat) (pr : n < m) :
∏ p in finset.filter nat.prime (finset.range m), p ^ (padic_val_nat p n) = n :=
begin
rw ← pos_iff_ne_zero at hn,
have H : (factors n : multiset ℕ).prod = n,
{ rw [multiset.coe_prod, prod_factors hn], },
rw finset.prod_multiset_count at H,
conv_rhs { rw ← H, },
refine finset.prod_bij_ne_one (λ p hp hp', p) _ _ _ _,
{ rintro p hp hpn,
rw [finset.mem_filter, finset.mem_range] at hp,
rw [multiset.mem_to_finset, multiset.mem_coe, mem_factors_iff_dvd hn hp.2],
contrapose! hpn,
haveI Hp : fact p.prime := ⟨hp.2⟩,
rw [padic_val_nat_of_not_dvd hpn, pow_zero], },
{ intros, assumption },
{ intros p hp hpn,
rw [multiset.mem_to_finset, multiset.mem_coe] at hp,
haveI Hp : fact p.prime := ⟨prime_of_mem_factors hp⟩,
simp only [exists_prop, ne.def, finset.mem_filter, finset.mem_range],
refine ⟨p, ⟨_, Hp.1⟩, ⟨_, rfl⟩⟩,
{ rw mem_factors_iff_dvd hn Hp.1 at hp, exact lt_of_le_of_lt (le_of_dvd hn hp) pr },
{ rw padic_val_nat_eq_factors_count,
simpa [ne.def, multiset.coe_count] using hpn } },
{ intros p hp hpn,
rw [finset.mem_filter, finset.mem_range] at hp,
haveI Hp : fact p.prime := ⟨hp.2⟩,
rw [padic_val_nat_eq_factors_count, multiset.coe_count] }
end
end padic_val_nat
/--
If `q ≠ 0`, the p-adic norm of a rational `q` is `p ^ (-(padic_val_rat p q))`.
If `q = 0`, the p-adic norm of `q` is 0.
-/
def padic_norm (p : ℕ) (q : ℚ) : ℚ :=
if q = 0 then 0 else (↑p : ℚ) ^ (-(padic_val_rat p q))
namespace padic_norm
section padic_norm
open padic_val_rat
variables (p : ℕ)
/--
Unfolds the definition of the p-adic norm of `q` when `q ≠ 0`.
-/
@[simp] protected lemma eq_zpow_of_nonzero {q : ℚ} (hq : q ≠ 0) :
padic_norm p q = p ^ (-(padic_val_rat p q)) :=
by simp [hq, padic_norm]
/--
The p-adic norm is nonnegative.
-/
protected lemma nonneg (q : ℚ) : 0 ≤ padic_norm p q :=
if hq : q = 0 then by simp [hq, padic_norm]
else
begin
unfold padic_norm; split_ifs,
apply zpow_nonneg,
exact_mod_cast nat.zero_le _
end
/--
The p-adic norm of 0 is 0.
-/
@[simp] protected lemma zero : padic_norm p 0 = 0 := by simp [padic_norm]
/--
The p-adic norm of 1 is 1.
-/
@[simp] protected lemma one : padic_norm p 1 = 1 := by simp [padic_norm]
/--
The p-adic norm of `p` is `1/p` if `p > 1`.
See also `padic_norm.padic_norm_p_of_prime` for a version that assumes `p` is prime.
-/
lemma padic_norm_p {p : ℕ} (hp : 1 < p) : padic_norm p p = 1 / p :=
by simp [padic_norm, (show p ≠ 0, by linarith), padic_val_rat.padic_val_rat_self hp]
/--
The p-adic norm of `p` is `1/p` if `p` is prime.
See also `padic_norm.padic_norm_p` for a version that assumes `1 < p`.
-/
@[simp] lemma padic_norm_p_of_prime (p : ℕ) [fact p.prime] : padic_norm p p = 1 / p :=
padic_norm_p $ nat.prime.one_lt (fact.out _)
/-- The p-adic norm of `q` is `1` if `q` is prime and not equal to `p`. -/
lemma padic_norm_of_prime_of_ne {p q : ℕ} [p_prime : fact p.prime] [q_prime : fact q.prime]
(neq : p ≠ q) : padic_norm p q = 1 :=
begin
have p : padic_val_rat p q = 0,
{ exact_mod_cast @padic_val_nat_primes p q p_prime q_prime neq },
simp [padic_norm, p, q_prime.1.1, q_prime.1.ne_zero],
end
/--
The p-adic norm of `p` is less than 1 if `1 < p`.
See also `padic_norm.padic_norm_p_lt_one_of_prime` for a version assuming `prime p`.
-/
lemma padic_norm_p_lt_one {p : ℕ} (hp : 1 < p) : padic_norm p p < 1 :=
begin
rw [padic_norm_p hp, div_lt_iff, one_mul],
{ exact_mod_cast hp },
{ exact_mod_cast zero_lt_one.trans hp },
end
/--
The p-adic norm of `p` is less than 1 if `p` is prime.
See also `padic_norm.padic_norm_p_lt_one` for a version assuming `1 < p`.
-/
lemma padic_norm_p_lt_one_of_prime (p : ℕ) [fact p.prime] : padic_norm p p < 1 :=
padic_norm_p_lt_one $ nat.prime.one_lt (fact.out _)
/--
`padic_norm p q` takes discrete values `p ^ -z` for `z : ℤ`.
-/
protected theorem values_discrete {q : ℚ} (hq : q ≠ 0) : ∃ z : ℤ, padic_norm p q = p ^ (-z) :=
⟨ (padic_val_rat p q), by simp [padic_norm, hq] ⟩
/--
`padic_norm p` is symmetric.
-/
@[simp] protected lemma neg (q : ℚ) : padic_norm p (-q) = padic_norm p q :=
if hq : q = 0 then by simp [hq]
else by simp [padic_norm, hq]
variable [hp : fact p.prime]
include hp
/--
If `q ≠ 0`, then `padic_norm p q ≠ 0`.
-/
protected lemma nonzero {q : ℚ} (hq : q ≠ 0) : padic_norm p q ≠ 0 :=
begin
rw padic_norm.eq_zpow_of_nonzero p hq,
apply zpow_ne_zero_of_ne_zero,
exact_mod_cast ne_of_gt hp.1.pos
end
/--
If the p-adic norm of `q` is 0, then `q` is 0.
-/
lemma zero_of_padic_norm_eq_zero {q : ℚ} (h : padic_norm p q = 0) : q = 0 :=
begin
apply by_contradiction, intro hq,
unfold padic_norm at h, rw if_neg hq at h,
apply absurd h,
apply zpow_ne_zero_of_ne_zero,
exact_mod_cast hp.1.ne_zero
end
/--
The p-adic norm is multiplicative.
-/
@[simp] protected theorem mul (q r : ℚ) : padic_norm p (q*r) = padic_norm p q * padic_norm p r :=
if hq : q = 0 then
by simp [hq]
else if hr : r = 0 then
by simp [hr]
else
have q*r ≠ 0, from mul_ne_zero hq hr,
have (↑p : ℚ) ≠ 0, by simp [hp.1.ne_zero],
by simp [padic_norm, *, padic_val_rat.mul, zpow_add₀ this, mul_comm]
/--
The p-adic norm respects division.
-/
@[simp] protected theorem div (q r : ℚ) : padic_norm p (q / r) = padic_norm p q / padic_norm p r :=
if hr : r = 0 then by simp [hr] else
eq_div_of_mul_eq (padic_norm.nonzero _ hr) (by rw [←padic_norm.mul, div_mul_cancel _ hr])
/--
The p-adic norm of an integer is at most 1.
-/
protected theorem of_int (z : ℤ) : padic_norm p ↑z ≤ 1 :=
if hz : z = 0 then by simp [hz, zero_le_one] else
begin
unfold padic_norm,
rw [if_neg _],
{ refine zpow_le_one_of_nonpos _ _,
{ exact_mod_cast le_of_lt hp.1.one_lt, },
{ rw [padic_val_rat_of_int _ hp.1.ne_one hz, neg_nonpos],
norm_cast, simp }},
exact_mod_cast hz
end
private lemma nonarchimedean_aux {q r : ℚ} (h : padic_val_rat p q ≤ padic_val_rat p r) :
padic_norm p (q + r) ≤ max (padic_norm p q) (padic_norm p r) :=
have hnqp : padic_norm p q ≥ 0, from padic_norm.nonneg _ _,
have hnrp : padic_norm p r ≥ 0, from padic_norm.nonneg _ _,
if hq : q = 0 then
by simp [hq, max_eq_right hnrp, le_max_right]
else if hr : r = 0 then
by simp [hr, max_eq_left hnqp, le_max_left]
else if hqr : q + r = 0 then
le_trans (by simpa [hqr] using hnqp) (le_max_left _ _)
else
begin
unfold padic_norm, split_ifs,
apply le_max_iff.2,
left,
apply zpow_le_of_le,
{ exact_mod_cast le_of_lt hp.1.one_lt },
{ apply neg_le_neg,
have : padic_val_rat p q =
min (padic_val_rat p q) (padic_val_rat p r),
from (min_eq_left h).symm,
rw this,
apply min_le_padic_val_rat_add; assumption }
end
/--
The p-adic norm is nonarchimedean: the norm of `p + q` is at most the max of the norm of `p` and
the norm of `q`.
-/
protected theorem nonarchimedean {q r : ℚ} :
padic_norm p (q + r) ≤ max (padic_norm p q) (padic_norm p r) :=
begin
wlog hle := le_total (padic_val_rat p q) (padic_val_rat p r) using [q r],
exact nonarchimedean_aux p hle
end
/--
The p-adic norm respects the triangle inequality: the norm of `p + q` is at most the norm of `p`
plus the norm of `q`.
-/
theorem triangle_ineq (q r : ℚ) : padic_norm p (q + r) ≤ padic_norm p q + padic_norm p r :=
calc padic_norm p (q + r) ≤ max (padic_norm p q) (padic_norm p r) : padic_norm.nonarchimedean p
... ≤ padic_norm p q + padic_norm p r :
max_le_add_of_nonneg (padic_norm.nonneg p _) (padic_norm.nonneg p _)
/--
The p-adic norm of a difference is at most the max of each component. Restates the archimedean
property of the p-adic norm.
-/
protected theorem sub {q r : ℚ} : padic_norm p (q - r) ≤ max (padic_norm p q) (padic_norm p r) :=
by rw [sub_eq_add_neg, ←padic_norm.neg p r]; apply padic_norm.nonarchimedean
/--
If the p-adic norms of `q` and `r` are different, then the norm of `q + r` is equal to the max of
the norms of `q` and `r`.
-/
lemma add_eq_max_of_ne {q r : ℚ} (hne : padic_norm p q ≠ padic_norm p r) :
padic_norm p (q + r) = max (padic_norm p q) (padic_norm p r) :=
begin
wlog hle := le_total (padic_norm p r) (padic_norm p q) using [q r],
have hlt : padic_norm p r < padic_norm p q, from lt_of_le_of_ne hle hne.symm,
have : padic_norm p q ≤ max (padic_norm p (q + r)) (padic_norm p r), from calc
padic_norm p q = padic_norm p (q + r - r) : by congr; ring
... ≤ max (padic_norm p (q + r)) (padic_norm p (-r)) : padic_norm.nonarchimedean p
... = max (padic_norm p (q + r)) (padic_norm p r) : by simp,
have hnge : padic_norm p r ≤ padic_norm p (q + r),
{ apply le_of_not_gt,
intro hgt,
rw max_eq_right_of_lt hgt at this,
apply not_lt_of_ge this,
assumption },
have : padic_norm p q ≤ padic_norm p (q + r), by rwa [max_eq_left hnge] at this,
apply _root_.le_antisymm,
{ apply padic_norm.nonarchimedean p },
{ rw max_eq_left_of_lt hlt,
assumption }
end
/--
The p-adic norm is an absolute value: positive-definite and multiplicative, satisfying the triangle
inequality.
-/
instance : is_absolute_value (padic_norm p) :=
{ abv_nonneg := padic_norm.nonneg p,
abv_eq_zero :=
begin
intros,
constructor; intro,
{ apply zero_of_padic_norm_eq_zero p, assumption },
{ simp [*] }
end,
abv_add := padic_norm.triangle_ineq p,
abv_mul := padic_norm.mul p }
variable {p}
lemma dvd_iff_norm_le {n : ℕ} {z : ℤ} : ↑(p^n) ∣ z ↔ padic_norm p z ≤ ↑p ^ (-n : ℤ) :=
begin
unfold padic_norm, split_ifs with hz,
{ norm_cast at hz,
have : 0 ≤ (p^n : ℚ), {apply pow_nonneg, exact_mod_cast le_of_lt hp.1.pos },
simp [hz, this] },
{ rw [zpow_le_iff_le, neg_le_neg_iff, padic_val_rat_of_int _ hp.1.ne_one _],
{ norm_cast,
rw [← enat.coe_le_coe, enat.coe_get, ← multiplicity.pow_dvd_iff_le_multiplicity],
simp },
{ exact_mod_cast hz },
{ exact_mod_cast hp.1.one_lt } }
end
end padic_norm
end padic_norm
|
cc2029b1a6a111c77828570735bf23fa0f5c3aea | a523fc1740c8cb84cd0fa0f4b52a760da4e32a5c | /src/missing_mathlib/linear_algebra/dimension.lean | 78120c9fe2d7d429d701dd0d88f253dff8861e9f | [] | no_license | abentkamp/spectral | a1aff51e85d30b296a81d256ced1d382345d3396 | 751645679ef1cb6266316349de9e492eff85484c | refs/heads/master | 1,669,994,798,064 | 1,597,591,646,000 | 1,597,591,646,000 | 287,544,072 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,779 | lean | import linear_algebra.dimension
import missing_mathlib.set_theory.cardinal
universe variables u u' u'' v v' w w'
variables {α : Type u} {β γ δ ε : Type v}
variables {ι : Type w} {ι' : Type w'} {η : Type u''} {φ : η → Type u'}
section vector_space
variables [decidable_eq ι] [decidable_eq ι'] [field α] [decidable_eq α] [add_comm_group β] [vector_space α β]
include α
open submodule lattice function set
open vector_space
lemma submodule.bot_of_dim_zero (p : submodule α β) (h_dim : dim α p = 0) : p = ⊥ :=
begin
haveI : decidable_eq β := classical.dec_eq β,
obtain ⟨b, hb⟩ : ∃b : set p, is_basis α (λ i : b, i.val) := @exists_is_basis α p _ _ _,
rw ←le_bot_iff,
intros x hx,
have : (⟨x, (submodule.mem_coe p).1 hx⟩ : p) = (0 : p),
{ rw ←@mem_bot α p _ _ _,
rw [← @span_empty α p _ _ _, ←(@set.range_eq_empty p b (λ (i : b), i.val)).2, hb.2],
apply mem_top,
unfold_coes,
rw [nonempty_subtype],
push_neg,
rw [←set.eq_empty_iff_forall_not_mem, ←cardinal.mk_zero_iff_empty_set],
rwa cardinal.lift_inj.1 hb.mk_eq_dim },
rw [mem_bot],
rw <-coe_eq_zero at this,
apply this,
end
lemma linear_independent.le_lift_dim [decidable_eq β] {v : ι → β} (hv : linear_independent α v) :
cardinal.lift.{w v} (cardinal.mk ι) ≤ cardinal.lift.{v w} (dim α β) :=
calc
cardinal.lift.{w v} (cardinal.mk ι)
= cardinal.lift.{v w} (cardinal.mk (range v)) :
by rw ←cardinal.mk_range_eq_of_injective (linear_independent.injective hv)
... = cardinal.lift.{v w} (dim α (span α (range v))) :
by rw ←dim_span hv
... ≤ cardinal.lift.{v w} (dim α (⊤ : submodule α β)) :
cardinal.lift_le.2 (dim_le_of_submodule (submodule.span α (set.range v)) ⊤ le_top)
... ≤ cardinal.lift.{v w} (dim α β) :
by rw dim_top
lemma linear_independent_le_dim {α : Type u} {β : Type v} {ι : Type w}
[field α] [decidable_eq β] [add_comm_group β] [vector_space α β] [decidable_eq ι]
{v : ι → β} (hv : @linear_independent _ α _ v (@comm_ring.to_ring _ (field.to_comm_ring _)) _ _) :
cardinal.lift.{w v} (cardinal.mk ι) ≤ cardinal.lift.{v w} (dim α β) :=
calc
cardinal.lift.{w v} (cardinal.mk ι) = cardinal.lift.{v w} (cardinal.mk (set.range v)) :
(cardinal.mk_range_eq_of_injective (linear_independent.injective hv)).symm
... = cardinal.lift.{v w} (dim α (submodule.span α (set.range v))) : by rw (dim_span hv).symm
... ≤ cardinal.lift.{v w} (dim α β) : cardinal.lift_le.2 (dim_submodule_le (submodule.span α _))
lemma powers_linear_dependent_of_dim_finite (α : Type v) (β : Type w)
[field α] [decidable_eq β] [add_comm_group β] [vector_space α β]
(f : β →ₗ[α] β) (h_dim : dim α β < cardinal.omega) (v : β) :
¬ linear_independent α (λ n : ℕ, (f ^ n) v) :=
begin
intro hw,
apply not_lt_of_le _ h_dim,
rw [← cardinal.lift_id (dim α β), cardinal.lift_umax.{w 0}],
apply linear_independent_le_dim hw
end
lemma exists_mem_ne_zero_of_dim_pos' {α : Type v} {β : Type w}
[field α] [add_comm_group β] [vector_space α β]
(h_dim : 0 < dim α β) : ∃ x : β, x ≠ 0 :=
begin
obtain ⟨b, _, _⟩ : (∃ b : β, b ∈ (⊤ : submodule α β) ∧ b ≠ 0),
{ apply exists_mem_ne_zero_of_dim_pos,
rw dim_top,
apply h_dim },
use b
end
lemma dim_pos_of_mem_ne_zero {α : Type v} {β : Type w}
[field α] [add_comm_group β] [vector_space α β]
(x : β) (h : x ≠ 0) : 0 < dim α β :=
begin
classical,
by_contra hc,
rw [not_lt, cardinal.le_zero, ←dim_top] at hc,
have x_mem_bot : x ∈ ⊥,
{ rw ← submodule.bot_of_dim_zero ⊤ hc,
apply mem_top },
exact h ((mem_bot α).1 x_mem_bot)
end
end vector_space |
43989aae5c9b9320dda1475ff9d1d851bfd75bac | 5ae26df177f810c5006841e9c73dc56e01b978d7 | /src/data/padics/padic_integers.lean | a180e4d3a98103e5890ee2bb0cd632540135076d | [
"Apache-2.0"
] | permissive | ChrisHughes24/mathlib | 98322577c460bc6b1fe5c21f42ce33ad1c3e5558 | a2a867e827c2a6702beb9efc2b9282bd801d5f9a | refs/heads/master | 1,583,848,251,477 | 1,565,164,247,000 | 1,565,164,247,000 | 129,409,993 | 0 | 1 | Apache-2.0 | 1,565,164,817,000 | 1,523,628,059,000 | Lean | UTF-8 | Lean | false | false | 10,440 | lean | /-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Mario Carneiro
-/
import data.padics.padic_numbers ring_theory.ideals data.int.modeq
/-!
# p-adic integers
This file defines the p-adic integers ℤ_p as the subtype of ℚ_p with norm ≤ 1. We show that ℤ_p is a
complete nonarchimedean normed local ring.
## Important definitions
* `padic_int` : the type of p-adic numbers
## Notation
We introduce the notation ℤ_[p] for the p-adic integers.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking (prime p) as a type class argument.
Coercions into ℤ_p are set up to work with the `norm_cast` tactic.
## References
* [F. Q. Gouêva, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* https://en.wikipedia.org/wiki/P-adic_number
## Tags
p-adic, p adic, padic, p-adic integer
-/
open nat padic metric
noncomputable theory
local attribute [instance] classical.prop_decidable
/-- The p-adic integers ℤ_p are the p-adic numbers with norm ≤ 1. -/
def padic_int (p : ℕ) [p.prime] := {x : ℚ_[p] // ∥x∥ ≤ 1}
notation `ℤ_[`p`]` := padic_int p
namespace padic_int
variables {p : ℕ} [nat.prime p]
/-- Addition on ℤ_p is inherited from ℚ_p. -/
def add : ℤ_[p] → ℤ_[p] → ℤ_[p]
| ⟨x, hx⟩ ⟨y, hy⟩ := ⟨x+y,
le_trans (padic_norm_e.nonarchimedean _ _) (max_le_iff.2 ⟨hx,hy⟩)⟩
/-- Multiplication on ℤ_p is inherited from ℚ_p. -/
def mul : ℤ_[p] → ℤ_[p] → ℤ_[p]
| ⟨x, hx⟩ ⟨y, hy⟩ := ⟨x*y,
begin rw padic_norm_e.mul, apply mul_le_one; {assumption <|> apply norm_nonneg} end⟩
/-- Negation on ℤ_p is inherited from ℚ_p. -/
def neg : ℤ_[p] → ℤ_[p]
| ⟨x, hx⟩ := ⟨-x, by simpa⟩
instance : ring ℤ_[p] :=
begin
refine { add := add,
mul := mul,
neg := neg,
zero := ⟨0, by simp [zero_le_one]⟩,
one := ⟨1, by simp⟩,
.. };
{repeat {rintro ⟨_, _⟩}, simp [mul_assoc, left_distrib, right_distrib, add, mul, neg]}
end
lemma zero_def : ∀ x : ℤ_[p], x = 0 ↔ x.val = 0
| ⟨x, _⟩ := ⟨subtype.mk.inj, λ h, by simp at h; simp only [h]; refl⟩
@[simp] lemma add_def : ∀ (x y : ℤ_[p]), (x+y).val = x.val + y.val
| ⟨x, hx⟩ ⟨y, hy⟩ := rfl
@[simp] lemma mul_def : ∀ (x y : ℤ_[p]), (x*y).val = x.val * y.val
| ⟨x, hx⟩ ⟨y, hy⟩ := rfl
@[simp] lemma mk_zero {h} : (⟨0, h⟩ : ℤ_[p]) = (0 : ℤ_[p]) := rfl
instance : has_coe ℤ_[p] ℚ_[p] := ⟨subtype.val⟩
@[simp] lemma val_eq_coe (z : ℤ_[p]) : z.val = ↑z := rfl
@[simp, move_cast] lemma coe_add : ∀ (z1 z2 : ℤ_[p]), (↑(z1 + z2) : ℚ_[p]) = ↑z1 + ↑z2
| ⟨_, _⟩ ⟨_, _⟩ := rfl
@[simp, move_cast] lemma coe_mul : ∀ (z1 z2 : ℤ_[p]), (↑(z1 * z2) : ℚ_[p]) = ↑z1 * ↑z2
| ⟨_, _⟩ ⟨_, _⟩ := rfl
@[simp, move_cast] lemma coe_neg : ∀ (z1 : ℤ_[p]), (↑(-z1) : ℚ_[p]) = -↑z1
| ⟨_, _⟩ := rfl
@[simp, move_cast] lemma coe_sub : ∀ (z1 z2 : ℤ_[p]), (↑(z1 - z2) : ℚ_[p]) = ↑z1 - ↑z2
| ⟨_, _⟩ ⟨_, _⟩ := rfl
@[simp, squash_cast] lemma coe_one : (↑(1 : ℤ_[p]) : ℚ_[p]) = 1 := rfl
@[simp, squash_cast] lemma coe_coe : ∀ n : ℕ, (↑(↑n : ℤ_[p]) : ℚ_[p]) = (↑n : ℚ_[p])
| 0 := rfl
| (k+1) := by simp [coe_coe]
@[simp, squash_cast] lemma coe_zero : (↑(0 : ℤ_[p]) : ℚ_[p]) = 0 := rfl
@[simp, move_cast] lemma cast_pow (x : ℤ_[p]) : ∀ (n : ℕ), (↑(x^n) : ℚ_[p]) = (↑x : ℚ_[p])^n
| 0 := by simp
| (k+1) := by simp [monoid.pow, pow]; congr; apply cast_pow
lemma mk_coe : ∀ (k : ℤ_[p]), (⟨↑k, k.2⟩ : ℤ_[p]) = k
| ⟨_, _⟩ := rfl
/-- The inverse of a p-adic integer with norm equal to 1 is also a p-adic integer. Otherwise, the
inverse is defined to be 0. -/
def inv : ℤ_[p] → ℤ_[p]
| ⟨k, _⟩ := if h : ∥k∥ = 1 then ⟨1/k, by simp [h]⟩ else 0
end padic_int
section instances
variables {p : ℕ} [nat.prime p]
@[reducible] def padic_norm_z (z : ℤ_[p]) : ℝ := ∥z.val∥
instance : metric_space ℤ_[p] := subtype.metric_space
instance : has_norm ℤ_[p] := ⟨padic_norm_z⟩
instance : normed_ring ℤ_[p] :=
{ dist_eq := λ ⟨_, _⟩ ⟨_, _⟩, rfl,
norm_mul := λ ⟨_, _⟩ ⟨_, _⟩, norm_mul_le _ _ }
instance padic_norm_z.is_absolute_value : is_absolute_value (λ z : ℤ_[p], ∥z∥) :=
{ abv_nonneg := norm_nonneg,
abv_eq_zero := λ ⟨_, _⟩, by simp [norm_eq_zero, padic_int.zero_def],
abv_add := λ ⟨_,_⟩ ⟨_, _⟩, norm_triangle _ _,
abv_mul := λ _ _, by unfold norm; simp [padic_norm_z] }
protected lemma padic_int.pmul_comm : ∀ z1 z2 : ℤ_[p], z1*z2 = z2*z1
| ⟨q1, h1⟩ ⟨q2, h2⟩ := show (⟨q1*q2, _⟩ : ℤ_[p]) = ⟨q2*q1, _⟩, by simp [mul_comm]
instance : comm_ring ℤ_[p] :=
{ mul_comm := padic_int.pmul_comm,
..padic_int.ring }
protected lemma padic_int.zero_ne_one : (0 : ℤ_[p]) ≠ 1 :=
show (⟨(0 : ℚ_[p]), _⟩ : ℤ_[p]) ≠ ⟨(1 : ℚ_[p]), _⟩, from mt subtype.ext.1 zero_ne_one
protected lemma padic_int.eq_zero_or_eq_zero_of_mul_eq_zero :
∀ (a b : ℤ_[p]), a * b = 0 → a = 0 ∨ b = 0
| ⟨a, ha⟩ ⟨b, hb⟩ := λ h : (⟨a * b, _⟩ : ℤ_[p]) = ⟨0, _⟩,
have a * b = 0, from subtype.ext.1 h,
(mul_eq_zero_iff_eq_zero_or_eq_zero.1 this).elim
(λ h1, or.inl (by simp [h1]; refl))
(λ h2, or.inr (by simp [h2]; refl))
instance : integral_domain ℤ_[p] :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := padic_int.eq_zero_or_eq_zero_of_mul_eq_zero,
zero_ne_one := padic_int.zero_ne_one,
..padic_int.comm_ring }
end instances
namespace padic_norm_z
variables {p : ℕ} [nat.prime p]
lemma le_one : ∀ z : ℤ_[p], ∥z∥ ≤ 1
| ⟨_, h⟩ := h
@[simp] lemma one : ∥(1 : ℤ_[p])∥ = 1 := by simp [norm, padic_norm_z]
@[simp] lemma mul (z1 z2 : ℤ_[p]) : ∥z1 * z2∥ = ∥z1∥ * ∥z2∥ :=
by unfold norm; simp [padic_norm_z]
@[simp] lemma pow (z : ℤ_[p]) : ∀ n : ℕ, ∥z^n∥ = ∥z∥^n
| 0 := by simp
| (k+1) := show ∥z*z^k∥ = ∥z∥*∥z∥^k, by {rw mul, congr, apply pow}
theorem nonarchimedean : ∀ (q r : ℤ_[p]), ∥q + r∥ ≤ max (∥q∥) (∥r∥)
| ⟨_, _⟩ ⟨_, _⟩ := padic_norm_e.nonarchimedean _ _
theorem add_eq_max_of_ne : ∀ {q r : ℤ_[p]}, ∥q∥ ≠ ∥r∥ → ∥q+r∥ = max (∥q∥) (∥r∥)
| ⟨_, _⟩ ⟨_, _⟩ := padic_norm_e.add_eq_max_of_ne
@[simp] lemma norm_one : ∥(1 : ℤ_[p])∥ = 1 := norm_one
lemma eq_of_norm_add_lt_right {z1 z2 : ℤ_[p]}
(h : ∥z1 + z2∥ < ∥z2∥) : ∥z1∥ = ∥z2∥ :=
by_contradiction $ λ hne,
not_lt_of_ge (by rw padic_norm_z.add_eq_max_of_ne hne; apply le_max_right) h
lemma eq_of_norm_add_lt_left {z1 z2 : ℤ_[p]}
(h : ∥z1 + z2∥ < ∥z1∥) : ∥z1∥ = ∥z2∥ :=
by_contradiction $ λ hne,
not_lt_of_ge (by rw padic_norm_z.add_eq_max_of_ne hne; apply le_max_left) h
@[simp] lemma padic_norm_e_of_padic_int (z : ℤ_[p]) : ∥(↑z : ℚ_[p])∥ = ∥z∥ :=
by simp [norm, padic_norm_z]
@[simp] lemma padic_norm_z_eq_padic_norm_e {q : ℚ_[p]} (hq : ∥q∥ ≤ 1) :
@norm ℤ_[p] _ ⟨q, hq⟩ = ∥q∥ := rfl
end padic_norm_z
private lemma mul_lt_one {α} [decidable_linear_ordered_comm_ring α] {a b : α} (hbz : 0 < b)
(ha : a < 1) (hb : b < 1) : a * b < 1 :=
suffices a*b < 1*1, by simpa,
mul_lt_mul ha (le_of_lt hb) hbz zero_le_one
private lemma mul_lt_one_of_le_of_lt {α} [decidable_linear_ordered_comm_ring α] {a b : α} (ha : a ≤ 1)
(hbz : 0 ≤ b) (hb : b < 1) : a * b < 1 :=
if hb' : b = 0 then by simpa [hb'] using zero_lt_one
else if ha' : a = 1 then by simpa [ha']
else mul_lt_one (lt_of_le_of_ne hbz (ne.symm hb')) (lt_of_le_of_ne ha ha') hb
namespace padic_int
variables {p : ℕ} [nat.prime p]
local attribute [reducible] padic_int
lemma mul_inv : ∀ {z : ℤ_[p]}, ∥z∥ = 1 → z * z.inv = 1
| ⟨k, _⟩ h :=
begin
have hk : k ≠ 0, from λ h', @zero_ne_one ℚ_[p] _ (by simpa [h'] using h),
unfold padic_int.inv, split_ifs,
{ change (⟨k * (1/k), _⟩ : ℤ_[p]) = 1,
simp [hk], refl },
{ apply subtype.ext.2, simp [mul_inv_cancel hk] }
end
lemma inv_mul {z : ℤ_[p]} (hz : ∥z∥ = 1) : z.inv * z = 1 :=
by rw [mul_comm, mul_inv hz]
lemma is_unit_iff {z : ℤ_[p]} : is_unit z ↔ ∥z∥ = 1 :=
⟨λ h, begin
rcases is_unit_iff_dvd_one.1 h with ⟨w, eq⟩,
refine le_antisymm (padic_norm_z.le_one _) _,
have := mul_le_mul_of_nonneg_left (padic_norm_z.le_one w) (norm_nonneg z),
rwa [mul_one, ← padic_norm_z.mul, ← eq, padic_norm_z.one] at this
end, λ h, ⟨⟨z, z.inv, mul_inv h, inv_mul h⟩, rfl⟩⟩
lemma norm_lt_one_add {z1 z2 : ℤ_[p]} (hz1 : ∥z1∥ < 1) (hz2 : ∥z2∥ < 1) : ∥z1 + z2∥ < 1 :=
lt_of_le_of_lt (padic_norm_z.nonarchimedean _ _) (max_lt hz1 hz2)
lemma norm_lt_one_mul {z1 z2 : ℤ_[p]} (hz2 : ∥z2∥ < 1) : ∥z1 * z2∥ < 1 :=
calc ∥z1 * z2∥ = ∥z1∥ * ∥z2∥ : by simp
... < 1 : mul_lt_one_of_le_of_lt (padic_norm_z.le_one _) (norm_nonneg _) hz2
@[simp] lemma mem_nonunits {z : ℤ_[p]} : z ∈ nonunits ℤ_[p] ↔ ∥z∥ < 1 :=
by rw lt_iff_le_and_ne; simp [padic_norm_z.le_one z, nonunits, is_unit_iff]
instance : local_ring ℤ_[p] :=
local_of_nonunits_ideal zero_ne_one $ λ x y, by simp; exact norm_lt_one_add
private def cau_seq_to_rat_cau_seq (f : cau_seq ℤ_[p] norm) :
cau_seq ℚ_[p] (λ a, ∥a∥) :=
⟨ λ n, f n,
λ _ hε, by simpa [norm, padic_norm_z] using f.cauchy hε ⟩
instance complete : cau_seq.is_complete ℤ_[p] norm :=
⟨ λ f,
have hqn : ∥cau_seq.lim (cau_seq_to_rat_cau_seq f)∥ ≤ 1,
from padic_norm_e_lim_le zero_lt_one (λ _, padic_norm_z.le_one _),
⟨ ⟨_, hqn⟩,
λ ε, by simpa [norm, padic_norm_z] using cau_seq.equiv_lim (cau_seq_to_rat_cau_seq f) ε⟩⟩
end padic_int
namespace padic_norm_z
variables {p : ℕ} [nat.prime p]
lemma padic_val_of_cong_pow_p {z1 z2 : ℤ} {n : ℕ} (hz : z1 ≡ z2 [ZMOD ↑(p^n)]) :
∥(z1 - z2 : ℚ_[p])∥ ≤ ↑(↑p ^ (-n : ℤ) : ℚ) :=
have hdvd : ↑(p^n) ∣ z2 - z1, from int.modeq.modeq_iff_dvd.1 hz,
have (z2 - z1 : ℚ_[p]) = ↑(↑(z2 - z1) : ℚ), by norm_cast,
begin
rw [norm_sub_rev, this, padic_norm_e.eq_padic_norm],
exact_mod_cast padic_norm.le_of_dvd p hdvd
end
end padic_norm_z
|
c264eafbab2fb2f48547068236b865eee50b2489 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/topology/basic_auto.lean | 91241f3bc5975622730c29e8eb43dd7a8df8f0ce | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 58,810 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Jeremy Avigad
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.order.filter.ultrafilter
import Mathlib.order.filter.partial
import Mathlib.PostPort
universes u l w v u_1 u_2 u_3 u_5
namespace Mathlib
/-!
# Basic theory of topological spaces.
The main definition is the type class `topological space α` which endows a type `α` with a topology.
Then `set α` gets predicates `is_open`, `is_closed` and functions `interior`, `closure` and
`frontier`. Each point `x` of `α` gets a neighborhood filter `𝓝 x`. A filter `F` on `α` has
`x` as a cluster point if `cluster_pt x F : 𝓝 x ⊓ F ≠ ⊥`. A map `f : ι → α` clusters at `x`
along `F : filter ι` if `map_cluster_pt x F f : cluster_pt x (map f F)`. In particular
the notion of cluster point of a sequence `u` is `map_cluster_pt x at_top u`.
This file also defines locally finite families of subsets of `α`.
For topological spaces `α` and `β`, a function `f : α → β` and a point `a : α`,
`continuous_at f a` means `f` is continuous at `a`, and global continuity is
`continuous f`. There is also a version of continuity `pcontinuous` for
partially defined functions.
## Notation
* `𝓝 x`: the filter of neighborhoods of a point `x`;
* `𝓟 s`: the principal filter of a set `s`;
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
<https://leanprover-community.github.io/theories/topology.html>.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space, interior, closure, frontier, neighborhood, continuity, continuous function
-/
/-!
### Topological spaces
-/
/-- A topology on `α`. -/
class topological_space (α : Type u) where
is_open : set α → Prop
is_open_univ : is_open set.univ
is_open_inter : ∀ (s t : set α), is_open s → is_open t → is_open (s ∩ t)
is_open_sUnion : ∀ (s : set (set α)), (∀ (t : set α), t ∈ s → is_open t) → is_open (⋃₀s)
/-- A constructor for topologies by specifying the closed sets,
and showing that they satisfy the appropriate conditions. -/
def topological_space.of_closed {α : Type u} (T : set (set α)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ (A : set (set α)), A ⊆ T → ⋂₀A ∈ T)
(union_mem : ∀ (A B : set α), A ∈ T → B ∈ T → A ∪ B ∈ T) : topological_space α :=
topological_space.mk (fun (X : set α) => Xᶜ ∈ T) sorry sorry sorry
theorem topological_space_eq {α : Type u} {f : topological_space α} {g : topological_space α} :
topological_space.is_open f = topological_space.is_open g → f = g :=
sorry
/-- `is_open s` means that `s` is open in the ambient topological space on `α` -/
def is_open {α : Type u} [t : topological_space α] (s : set α) := topological_space.is_open t s
@[simp] theorem is_open_univ {α : Type u} [t : topological_space α] : is_open set.univ :=
topological_space.is_open_univ t
theorem is_open_inter {α : Type u} {s₁ : set α} {s₂ : set α} [t : topological_space α]
(h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∩ s₂) :=
topological_space.is_open_inter t s₁ s₂ h₁ h₂
theorem is_open_sUnion {α : Type u} [t : topological_space α] {s : set (set α)}
(h : ∀ (t_1 : set α), t_1 ∈ s → is_open t_1) : is_open (⋃₀s) :=
topological_space.is_open_sUnion t s h
theorem topological_space_eq_iff {α : Type u} {t : topological_space α} {t' : topological_space α} :
t = t' ↔ ∀ (s : set α), is_open s ↔ is_open s :=
{ mp := fun (h : t = t') (s : set α) => h ▸ iff.rfl,
mpr :=
fun (h : ∀ (s : set α), is_open s ↔ is_open s) =>
topological_space_eq (funext fun (x : set α) => propext (h x)) }
theorem is_open_fold {α : Type u} {s : set α} {t : topological_space α} :
topological_space.is_open t s = is_open s :=
rfl
theorem is_open_Union {α : Type u} {ι : Sort w} [topological_space α] {f : ι → set α}
(h : ∀ (i : ι), is_open (f i)) : is_open (set.Union fun (i : ι) => f i) :=
is_open_sUnion
fun (t : set α) (H : t ∈ set.range fun (i : ι) => f i) =>
Exists.dcases_on H fun (i : ι) (H_h : (fun (i : ι) => f i) i = t) => Eq._oldrec (h i) H_h
theorem is_open_bUnion {α : Type u} {β : Type v} [topological_space α] {s : set β} {f : β → set α}
(h : ∀ (i : β), i ∈ s → is_open (f i)) :
is_open (set.Union fun (i : β) => set.Union fun (H : i ∈ s) => f i) :=
is_open_Union fun (i : β) => is_open_Union fun (hi : i ∈ s) => h i hi
theorem is_open_union {α : Type u} {s₁ : set α} {s₂ : set α} [topological_space α] (h₁ : is_open s₁)
(h₂ : is_open s₂) : is_open (s₁ ∪ s₂) :=
eq.mpr (id (Eq._oldrec (Eq.refl (is_open (s₁ ∪ s₂))) set.union_eq_Union))
(is_open_Union (iff.mpr bool.forall_bool { left := h₂, right := h₁ }))
@[simp] theorem is_open_empty {α : Type u} [topological_space α] : is_open ∅ :=
eq.mpr (id (Eq._oldrec (Eq.refl (is_open ∅)) (Eq.symm set.sUnion_empty)))
(is_open_sUnion fun (a : set α) => false.elim)
theorem is_open_sInter {α : Type u} [topological_space α] {s : set (set α)} (hs : set.finite s) :
(∀ (t : set α), t ∈ s → is_open t) → is_open (⋂₀s) :=
sorry
theorem is_open_bInter {α : Type u} {β : Type v} [topological_space α] {s : set β} {f : β → set α}
(hs : set.finite s) :
(∀ (i : β), i ∈ s → is_open (f i)) →
is_open (set.Inter fun (i : β) => set.Inter fun (H : i ∈ s) => f i) :=
sorry
theorem is_open_Inter {α : Type u} {β : Type v} [topological_space α] [fintype β] {s : β → set α}
(h : ∀ (i : β), is_open (s i)) : is_open (set.Inter fun (i : β) => s i) :=
sorry
theorem is_open_Inter_prop {α : Type u} [topological_space α] {p : Prop} {s : p → set α}
(h : ∀ (h : p), is_open (s h)) : is_open (set.Inter s) :=
sorry
theorem is_open_const {α : Type u} [topological_space α] {p : Prop} :
is_open (set_of fun (a : α) => p) :=
sorry
theorem is_open_and {α : Type u} {p₁ : α → Prop} {p₂ : α → Prop} [topological_space α] :
is_open (set_of fun (a : α) => p₁ a) →
is_open (set_of fun (a : α) => p₂ a) → is_open (set_of fun (a : α) => p₁ a ∧ p₂ a) :=
is_open_inter
/-- A set is closed if its complement is open -/
def is_closed {α : Type u} [topological_space α] (s : set α) := is_open (sᶜ)
@[simp] theorem is_closed_empty {α : Type u} [topological_space α] : is_closed ∅ :=
eq.mpr (id (is_closed.equations._eqn_1 ∅))
(eq.mpr (id (Eq._oldrec (Eq.refl (is_open (∅ᶜ))) set.compl_empty)) is_open_univ)
@[simp] theorem is_closed_univ {α : Type u} [topological_space α] : is_closed set.univ :=
eq.mpr (id (is_closed.equations._eqn_1 set.univ))
(eq.mpr (id (Eq._oldrec (Eq.refl (is_open (set.univᶜ))) set.compl_univ)) is_open_empty)
theorem is_closed_union {α : Type u} {s₁ : set α} {s₂ : set α} [topological_space α] :
is_closed s₁ → is_closed s₂ → is_closed (s₁ ∪ s₂) :=
fun (h₁ : is_closed s₁) (h₂ : is_closed s₂) =>
eq.mpr (id (is_closed.equations._eqn_1 (s₁ ∪ s₂)))
(eq.mpr (id (Eq._oldrec (Eq.refl (is_open (s₁ ∪ s₂ᶜ))) (set.compl_union s₁ s₂)))
(is_open_inter h₁ h₂))
theorem is_closed_sInter {α : Type u} [topological_space α] {s : set (set α)} :
(∀ (t : set α), t ∈ s → is_closed t) → is_closed (⋂₀s) :=
sorry
theorem is_closed_Inter {α : Type u} {ι : Sort w} [topological_space α] {f : ι → set α}
(h : ∀ (i : ι), is_closed (f i)) : is_closed (set.Inter fun (i : ι) => f i) :=
sorry
@[simp] theorem is_open_compl_iff {α : Type u} [topological_space α] {s : set α} :
is_open (sᶜ) ↔ is_closed s :=
iff.rfl
@[simp] theorem is_closed_compl_iff {α : Type u} [topological_space α] {s : set α} :
is_closed (sᶜ) ↔ is_open s :=
eq.mpr
(id (Eq._oldrec (Eq.refl (is_closed (sᶜ) ↔ is_open s)) (Eq.symm (propext is_open_compl_iff))))
(eq.mpr (id (Eq._oldrec (Eq.refl (is_open (sᶜᶜ) ↔ is_open s)) (compl_compl s)))
(iff.refl (is_open s)))
theorem is_open_diff {α : Type u} [topological_space α] {s : set α} {t : set α} (h₁ : is_open s)
(h₂ : is_closed t) : is_open (s \ t) :=
is_open_inter h₁ (iff.mpr is_open_compl_iff h₂)
theorem is_closed_inter {α : Type u} {s₁ : set α} {s₂ : set α} [topological_space α]
(h₁ : is_closed s₁) (h₂ : is_closed s₂) : is_closed (s₁ ∩ s₂) :=
eq.mpr (id (Eq._oldrec (Eq.refl (is_closed (s₁ ∩ s₂))) (is_closed.equations._eqn_1 (s₁ ∩ s₂))))
(eq.mpr (id (Eq._oldrec (Eq.refl (is_open (s₁ ∩ s₂ᶜ))) (set.compl_inter s₁ s₂)))
(is_open_union h₁ h₂))
theorem is_closed_bUnion {α : Type u} {β : Type v} [topological_space α] {s : set β} {f : β → set α}
(hs : set.finite s) :
(∀ (i : β), i ∈ s → is_closed (f i)) →
is_closed (set.Union fun (i : β) => set.Union fun (H : i ∈ s) => f i) :=
sorry
theorem is_closed_Union {α : Type u} {β : Type v} [topological_space α] [fintype β] {s : β → set α}
(h : ∀ (i : β), is_closed (s i)) : is_closed (set.Union s) :=
sorry
theorem is_closed_Union_prop {α : Type u} [topological_space α] {p : Prop} {s : p → set α}
(h : ∀ (h : p), is_closed (s h)) : is_closed (set.Union s) :=
sorry
theorem is_closed_imp {α : Type u} [topological_space α] {p : α → Prop} {q : α → Prop}
(hp : is_open (set_of fun (x : α) => p x)) (hq : is_closed (set_of fun (x : α) => q x)) :
is_closed (set_of fun (x : α) => p x → q x) :=
sorry
theorem is_open_neg {α : Type u} {p : α → Prop} [topological_space α] :
is_closed (set_of fun (a : α) => p a) → is_open (set_of fun (a : α) => ¬p a) :=
iff.mpr is_open_compl_iff
/-!
### Interior of a set
-/
/-- The interior of a set `s` is the largest open subset of `s`. -/
def interior {α : Type u} [topological_space α] (s : set α) : set α :=
⋃₀set_of fun (t : set α) => is_open t ∧ t ⊆ s
theorem mem_interior {α : Type u} [topological_space α] {s : set α} {x : α} :
x ∈ interior s ↔ ∃ (t : set α), ∃ (H : t ⊆ s), is_open t ∧ x ∈ t :=
sorry
@[simp] theorem is_open_interior {α : Type u} [topological_space α] {s : set α} :
is_open (interior s) :=
sorry
theorem interior_subset {α : Type u} [topological_space α] {s : set α} : interior s ⊆ s := sorry
theorem interior_maximal {α : Type u} [topological_space α] {s : set α} {t : set α} (h₁ : t ⊆ s)
(h₂ : is_open t) : t ⊆ interior s :=
set.subset_sUnion_of_mem { left := h₂, right := h₁ }
theorem is_open.interior_eq {α : Type u} [topological_space α] {s : set α} (h : is_open s) :
interior s = s :=
set.subset.antisymm interior_subset (interior_maximal (set.subset.refl s) h)
theorem interior_eq_iff_open {α : Type u} [topological_space α] {s : set α} :
interior s = s ↔ is_open s :=
{ mp := fun (h : interior s = s) => h ▸ is_open_interior, mpr := is_open.interior_eq }
theorem subset_interior_iff_open {α : Type u} [topological_space α] {s : set α} :
s ⊆ interior s ↔ is_open s :=
sorry
theorem subset_interior_iff_subset_of_open {α : Type u} [topological_space α] {s : set α}
{t : set α} (h₁ : is_open s) : s ⊆ interior t ↔ s ⊆ t :=
{ mp := fun (h : s ⊆ interior t) => set.subset.trans h interior_subset,
mpr := fun (h₂ : s ⊆ t) => interior_maximal h₂ h₁ }
theorem interior_mono {α : Type u} [topological_space α] {s : set α} {t : set α} (h : s ⊆ t) :
interior s ⊆ interior t :=
interior_maximal (set.subset.trans interior_subset h) is_open_interior
@[simp] theorem interior_empty {α : Type u} [topological_space α] : interior ∅ = ∅ :=
is_open.interior_eq is_open_empty
@[simp] theorem interior_univ {α : Type u} [topological_space α] : interior set.univ = set.univ :=
is_open.interior_eq is_open_univ
@[simp] theorem interior_interior {α : Type u} [topological_space α] {s : set α} :
interior (interior s) = interior s :=
is_open.interior_eq is_open_interior
@[simp] theorem interior_inter {α : Type u} [topological_space α] {s : set α} {t : set α} :
interior (s ∩ t) = interior s ∩ interior t :=
sorry
theorem interior_union_is_closed_of_interior_empty {α : Type u} [topological_space α] {s : set α}
{t : set α} (h₁ : is_closed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
sorry
theorem is_open_iff_forall_mem_open {α : Type u} {s : set α} [topological_space α] :
is_open s ↔ ∀ (x : α) (H : x ∈ s), ∃ (t : set α), ∃ (H : t ⊆ s), is_open t ∧ x ∈ t :=
sorry
/-!
### Closure of a set
-/
/-- The closure of `s` is the smallest closed set containing `s`. -/
def closure {α : Type u} [topological_space α] (s : set α) : set α :=
⋂₀set_of fun (t : set α) => is_closed t ∧ s ⊆ t
@[simp] theorem is_closed_closure {α : Type u} [topological_space α] {s : set α} :
is_closed (closure s) :=
sorry
theorem subset_closure {α : Type u} [topological_space α] {s : set α} : s ⊆ closure s := sorry
theorem closure_minimal {α : Type u} [topological_space α] {s : set α} {t : set α} (h₁ : s ⊆ t)
(h₂ : is_closed t) : closure s ⊆ t :=
set.sInter_subset_of_mem { left := h₂, right := h₁ }
theorem is_closed.closure_eq {α : Type u} [topological_space α] {s : set α} (h : is_closed s) :
closure s = s :=
set.subset.antisymm (closure_minimal (set.subset.refl s) h) subset_closure
theorem is_closed.closure_subset {α : Type u} [topological_space α] {s : set α} (hs : is_closed s) :
closure s ⊆ s :=
closure_minimal (set.subset.refl s) hs
theorem is_closed.closure_subset_iff {α : Type u} [topological_space α] {s : set α} {t : set α}
(h₁ : is_closed t) : closure s ⊆ t ↔ s ⊆ t :=
{ mp := set.subset.trans subset_closure, mpr := fun (h : s ⊆ t) => closure_minimal h h₁ }
theorem closure_mono {α : Type u} [topological_space α] {s : set α} {t : set α} (h : s ⊆ t) :
closure s ⊆ closure t :=
closure_minimal (set.subset.trans h subset_closure) is_closed_closure
theorem monotone_closure (α : Type u_1) [topological_space α] : monotone closure :=
fun (_x _x_1 : set α) => closure_mono
theorem closure_inter_subset_inter_closure {α : Type u} [topological_space α] (s : set α)
(t : set α) : closure (s ∩ t) ⊆ closure s ∩ closure t :=
monotone.map_inf_le (monotone_closure α) s t
theorem is_closed_of_closure_subset {α : Type u} [topological_space α] {s : set α}
(h : closure s ⊆ s) : is_closed s :=
eq.mpr (id (Eq._oldrec (Eq.refl (is_closed s)) (set.subset.antisymm subset_closure h)))
is_closed_closure
theorem closure_eq_iff_is_closed {α : Type u} [topological_space α] {s : set α} :
closure s = s ↔ is_closed s :=
{ mp := fun (h : closure s = s) => h ▸ is_closed_closure, mpr := is_closed.closure_eq }
theorem closure_subset_iff_is_closed {α : Type u} [topological_space α] {s : set α} :
closure s ⊆ s ↔ is_closed s :=
{ mp := is_closed_of_closure_subset, mpr := is_closed.closure_subset }
@[simp] theorem closure_empty {α : Type u} [topological_space α] : closure ∅ = ∅ :=
is_closed.closure_eq is_closed_empty
@[simp] theorem closure_empty_iff {α : Type u} [topological_space α] (s : set α) :
closure s = ∅ ↔ s = ∅ :=
{ mp := set.subset_eq_empty subset_closure, mpr := fun (h : s = ∅) => Eq.symm h ▸ closure_empty }
theorem set.nonempty.closure {α : Type u} [topological_space α] {s : set α} (h : set.nonempty s) :
set.nonempty (closure s) :=
sorry
@[simp] theorem closure_univ {α : Type u} [topological_space α] : closure set.univ = set.univ :=
is_closed.closure_eq is_closed_univ
@[simp] theorem closure_closure {α : Type u} [topological_space α] {s : set α} :
closure (closure s) = closure s :=
is_closed.closure_eq is_closed_closure
@[simp] theorem closure_union {α : Type u} [topological_space α] {s : set α} {t : set α} :
closure (s ∪ t) = closure s ∪ closure t :=
sorry
theorem interior_subset_closure {α : Type u} [topological_space α] {s : set α} :
interior s ⊆ closure s :=
set.subset.trans interior_subset subset_closure
theorem closure_eq_compl_interior_compl {α : Type u} [topological_space α] {s : set α} :
closure s = (interior (sᶜ)ᶜ) :=
sorry
@[simp] theorem interior_compl {α : Type u} [topological_space α] {s : set α} :
interior (sᶜ) = (closure sᶜ) :=
sorry
@[simp] theorem closure_compl {α : Type u} [topological_space α] {s : set α} :
closure (sᶜ) = (interior sᶜ) :=
sorry
theorem mem_closure_iff {α : Type u} [topological_space α] {s : set α} {a : α} :
a ∈ closure s ↔ ∀ (o : set α), is_open o → a ∈ o → set.nonempty (o ∩ s) :=
sorry
/-- A set is dense in a topological space if every point belongs to its closure. -/
def dense {α : Type u} [topological_space α] (s : set α) := ∀ (x : α), x ∈ closure s
theorem dense_iff_closure_eq {α : Type u} [topological_space α] {s : set α} :
dense s ↔ closure s = set.univ :=
iff.symm set.eq_univ_iff_forall
theorem dense.closure_eq {α : Type u} [topological_space α] {s : set α} (h : dense s) :
closure s = set.univ :=
iff.mp dense_iff_closure_eq h
/-- The closure of a set `s` is dense if and only if `s` is dense. -/
@[simp] theorem dense_closure {α : Type u} [topological_space α] {s : set α} :
dense (closure s) ↔ dense s :=
sorry
theorem dense.of_closure {α : Type u} [topological_space α] {s : set α} :
dense (closure s) → dense s :=
iff.mp dense_closure
@[simp] theorem dense_univ {α : Type u} [topological_space α] : dense set.univ :=
fun (x : α) => subset_closure trivial
/-- A set is dense if and only if it has a nonempty intersection with each nonempty open set. -/
theorem dense_iff_inter_open {α : Type u} [topological_space α] {s : set α} :
dense s ↔ ∀ (U : set α), is_open U → set.nonempty U → set.nonempty (U ∩ s) :=
sorry
theorem dense.inter_open_nonempty {α : Type u} [topological_space α] {s : set α} :
dense s → ∀ (U : set α), is_open U → set.nonempty U → set.nonempty (U ∩ s) :=
iff.mp dense_iff_inter_open
theorem dense.nonempty_iff {α : Type u} [topological_space α] {s : set α} (hs : dense s) :
set.nonempty s ↔ Nonempty α :=
sorry
theorem dense.nonempty {α : Type u} [topological_space α] [h : Nonempty α] {s : set α}
(hs : dense s) : set.nonempty s :=
iff.mpr (dense.nonempty_iff hs) h
theorem dense.mono {α : Type u} [topological_space α] {s₁ : set α} {s₂ : set α} (h : s₁ ⊆ s₂)
(hd : dense s₁) : dense s₂ :=
fun (x : α) => closure_mono h (hd x)
/-!
### Frontier of a set
-/
/-- The frontier of a set is the set of points between the closure and interior. -/
def frontier {α : Type u} [topological_space α] (s : set α) : set α := closure s \ interior s
theorem frontier_eq_closure_inter_closure {α : Type u} [topological_space α] {s : set α} :
frontier s = closure s ∩ closure (sᶜ) :=
sorry
/-- The complement of a set has the same frontier as the original set. -/
@[simp] theorem frontier_compl {α : Type u} [topological_space α] (s : set α) :
frontier (sᶜ) = frontier s :=
sorry
theorem frontier_inter_subset {α : Type u} [topological_space α] (s : set α) (t : set α) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t :=
sorry
theorem frontier_union_subset {α : Type u} [topological_space α] (s : set α) (t : set α) :
frontier (s ∪ t) ⊆ frontier s ∩ closure (tᶜ) ∪ closure (sᶜ) ∩ frontier t :=
sorry
theorem is_closed.frontier_eq {α : Type u} [topological_space α] {s : set α} (hs : is_closed s) :
frontier s = s \ interior s :=
eq.mpr (id (Eq._oldrec (Eq.refl (frontier s = s \ interior s)) (frontier.equations._eqn_1 s)))
(eq.mpr
(id
(Eq._oldrec (Eq.refl (closure s \ interior s = s \ interior s)) (is_closed.closure_eq hs)))
(Eq.refl (s \ interior s)))
theorem is_open.frontier_eq {α : Type u} [topological_space α] {s : set α} (hs : is_open s) :
frontier s = closure s \ s :=
eq.mpr (id (Eq._oldrec (Eq.refl (frontier s = closure s \ s)) (frontier.equations._eqn_1 s)))
(eq.mpr
(id (Eq._oldrec (Eq.refl (closure s \ interior s = closure s \ s)) (is_open.interior_eq hs)))
(Eq.refl (closure s \ s)))
/-- The frontier of a set is closed. -/
theorem is_closed_frontier {α : Type u} [topological_space α] {s : set α} :
is_closed (frontier s) :=
eq.mpr (id (Eq._oldrec (Eq.refl (is_closed (frontier s))) frontier_eq_closure_inter_closure))
(is_closed_inter is_closed_closure is_closed_closure)
/-- The frontier of a closed set has no interior point. -/
theorem interior_frontier {α : Type u} [topological_space α] {s : set α} (h : is_closed s) :
interior (frontier s) = ∅ :=
sorry
theorem closure_eq_interior_union_frontier {α : Type u} [topological_space α] (s : set α) :
closure s = interior s ∪ frontier s :=
Eq.symm (set.union_diff_cancel interior_subset_closure)
theorem closure_eq_self_union_frontier {α : Type u} [topological_space α] (s : set α) :
closure s = s ∪ frontier s :=
Eq.symm (set.union_diff_cancel' interior_subset subset_closure)
/-!
### Neighborhoods
-/
/-- A set is called a neighborhood of `a` if it contains an open set around `a`. The set of all
neighborhoods of `a` forms a filter, the neighborhood filter at `a`, is here defined as the
infimum over the principal filters of all open sets containing `a`. -/
def nhds {α : Type u} [topological_space α] (a : α) : filter α :=
infi
fun (s : set α) =>
infi fun (H : s ∈ set_of fun (s : set α) => a ∈ s ∧ is_open s) => filter.principal s
theorem nhds_def {α : Type u} [topological_space α] (a : α) :
nhds a =
infi
fun (s : set α) =>
infi fun (H : s ∈ set_of fun (s : set α) => a ∈ s ∧ is_open s) => filter.principal s :=
rfl
/-- The open sets containing `a` are a basis for the neighborhood filter. See `nhds_basis_opens'`
for a variant using open neighborhoods instead. -/
theorem nhds_basis_opens {α : Type u} [topological_space α] (a : α) :
filter.has_basis (nhds a) (fun (s : set α) => a ∈ s ∧ is_open s) fun (x : set α) => x :=
sorry
/-- A filter lies below the neighborhood filter at `a` iff it contains every open set around `a`. -/
theorem le_nhds_iff {α : Type u} [topological_space α] {f : filter α} {a : α} :
f ≤ nhds a ↔ ∀ (s : set α), a ∈ s → is_open s → s ∈ f :=
sorry
/-- To show a filter is above the neighborhood filter at `a`, it suffices to show that it is above
the principal filter of some open set `s` containing `a`. -/
theorem nhds_le_of_le {α : Type u} [topological_space α] {f : filter α} {a : α} {s : set α}
(h : a ∈ s) (o : is_open s) (sf : filter.principal s ≤ f) : nhds a ≤ f :=
eq.mpr (id (Eq._oldrec (Eq.refl (nhds a ≤ f)) (nhds_def a)))
(infi_le_of_le s (infi_le_of_le { left := h, right := o } sf))
theorem mem_nhds_sets_iff {α : Type u} [topological_space α] {a : α} {s : set α} :
s ∈ nhds a ↔ ∃ (t : set α), ∃ (H : t ⊆ s), is_open t ∧ a ∈ t :=
sorry
/-- A predicate is true in a neighborhood of `a` iff it is true for all the points in an open set
containing `a`. -/
theorem eventually_nhds_iff {α : Type u} [topological_space α] {a : α} {p : α → Prop} :
filter.eventually (fun (x : α) => p x) (nhds a) ↔
∃ (t : set α), (∀ (x : α), x ∈ t → p x) ∧ is_open t ∧ a ∈ t :=
sorry
theorem map_nhds {α : Type u} {β : Type v} [topological_space α] {a : α} {f : α → β} :
filter.map f (nhds a) =
infi
fun (s : set α) =>
infi
fun (H : s ∈ set_of fun (s : set α) => a ∈ s ∧ is_open s) =>
filter.principal (f '' s) :=
filter.has_basis.eq_binfi (filter.has_basis.map f (nhds_basis_opens a))
theorem mem_of_nhds {α : Type u} [topological_space α] {a : α} {s : set α} : s ∈ nhds a → a ∈ s :=
sorry
/-- If a predicate is true in a neighborhood of `a`, then it is true for `a`. -/
theorem filter.eventually.self_of_nhds {α : Type u} [topological_space α] {p : α → Prop} {a : α}
(h : filter.eventually (fun (y : α) => p y) (nhds a)) : p a :=
mem_of_nhds h
theorem mem_nhds_sets {α : Type u} [topological_space α] {a : α} {s : set α} (hs : is_open s)
(ha : a ∈ s) : s ∈ nhds a :=
iff.mpr mem_nhds_sets_iff
(Exists.intro s (Exists.intro (set.subset.refl s) { left := hs, right := ha }))
theorem is_open.eventually_mem {α : Type u} [topological_space α] {a : α} {s : set α}
(hs : is_open s) (ha : a ∈ s) : filter.eventually (fun (x : α) => x ∈ s) (nhds a) :=
mem_nhds_sets hs ha
/-- The open neighborhoods of `a` are a basis for the neighborhood filter. See `nhds_basis_opens`
for a variant using open sets around `a` instead. -/
theorem nhds_basis_opens' {α : Type u} [topological_space α] (a : α) :
filter.has_basis (nhds a) (fun (s : set α) => s ∈ nhds a ∧ is_open s) fun (x : set α) => x :=
sorry
/-- If a predicate is true in a neighbourhood of `a`, then for `y` sufficiently close
to `a` this predicate is true in a neighbourhood of `y`. -/
theorem filter.eventually.eventually_nhds {α : Type u} [topological_space α] {p : α → Prop} {a : α}
(h : filter.eventually (fun (y : α) => p y) (nhds a)) :
filter.eventually (fun (y : α) => filter.eventually (fun (y : α) => p y) (nhds y)) (nhds a) :=
sorry
@[simp] theorem eventually_eventually_nhds {α : Type u} [topological_space α] {p : α → Prop}
{a : α} :
filter.eventually (fun (y : α) => filter.eventually (fun (x : α) => p x) (nhds y)) (nhds a) ↔
filter.eventually (fun (x : α) => p x) (nhds a) :=
sorry
@[simp] theorem nhds_bind_nhds {α : Type u} {a : α} [topological_space α] :
filter.bind (nhds a) nhds = nhds a :=
filter.ext fun (s : set α) => eventually_eventually_nhds
@[simp] theorem eventually_eventually_eq_nhds {α : Type u} {β : Type v} [topological_space α]
{f : α → β} {g : α → β} {a : α} :
filter.eventually (fun (y : α) => filter.eventually_eq (nhds y) f g) (nhds a) ↔
filter.eventually_eq (nhds a) f g :=
eventually_eventually_nhds
theorem filter.eventually_eq.eq_of_nhds {α : Type u} {β : Type v} [topological_space α] {f : α → β}
{g : α → β} {a : α} (h : filter.eventually_eq (nhds a) f g) : f a = g a :=
filter.eventually.self_of_nhds h
@[simp] theorem eventually_eventually_le_nhds {α : Type u} {β : Type v} [topological_space α]
[HasLessEq β] {f : α → β} {g : α → β} {a : α} :
filter.eventually (fun (y : α) => filter.eventually_le (nhds y) f g) (nhds a) ↔
filter.eventually_le (nhds a) f g :=
eventually_eventually_nhds
/-- If two functions are equal in a neighbourhood of `a`, then for `y` sufficiently close
to `a` these functions are equal in a neighbourhood of `y`. -/
theorem filter.eventually_eq.eventually_eq_nhds {α : Type u} {β : Type v} [topological_space α]
{f : α → β} {g : α → β} {a : α} (h : filter.eventually_eq (nhds a) f g) :
filter.eventually (fun (y : α) => filter.eventually_eq (nhds y) f g) (nhds a) :=
filter.eventually.eventually_nhds h
/-- If `f x ≤ g x` in a neighbourhood of `a`, then for `y` sufficiently close to `a` we have
`f x ≤ g x` in a neighbourhood of `y`. -/
theorem filter.eventually_le.eventually_le_nhds {α : Type u} {β : Type v} [topological_space α]
[HasLessEq β] {f : α → β} {g : α → β} {a : α} (h : filter.eventually_le (nhds a) f g) :
filter.eventually (fun (y : α) => filter.eventually_le (nhds y) f g) (nhds a) :=
filter.eventually.eventually_nhds h
theorem all_mem_nhds {α : Type u} [topological_space α] (x : α) (P : set α → Prop)
(hP : ∀ (s t : set α), s ⊆ t → P s → P t) :
(∀ (s : set α), s ∈ nhds x → P s) ↔ ∀ (s : set α), is_open s → x ∈ s → P s :=
sorry
theorem all_mem_nhds_filter {α : Type u} {β : Type v} [topological_space α] (x : α)
(f : set α → set β) (hf : ∀ (s t : set α), s ⊆ t → f s ⊆ f t) (l : filter β) :
(∀ (s : set α), s ∈ nhds x → f s ∈ l) ↔ ∀ (s : set α), is_open s → x ∈ s → f s ∈ l :=
all_mem_nhds x (fun (s : set α) => f s ∈ l)
fun (s t : set α) (ssubt : s ⊆ t) (h : f s ∈ l) => filter.mem_sets_of_superset h (hf s t ssubt)
theorem rtendsto_nhds {α : Type u} {β : Type v} [topological_space α] {r : rel β α} {l : filter β}
{a : α} : filter.rtendsto r l (nhds a) ↔ ∀ (s : set α), is_open s → a ∈ s → rel.core r s ∈ l :=
all_mem_nhds_filter a (fun (U : set α) => U) (fun (s t : set α) => id) (filter.rmap r l)
theorem rtendsto'_nhds {α : Type u} {β : Type v} [topological_space α] {r : rel β α} {l : filter β}
{a : α} :
filter.rtendsto' r l (nhds a) ↔ ∀ (s : set α), is_open s → a ∈ s → rel.preimage r s ∈ l :=
sorry
theorem ptendsto_nhds {α : Type u} {β : Type v} [topological_space α] {f : β →. α} {l : filter β}
{a : α} : filter.ptendsto f l (nhds a) ↔ ∀ (s : set α), is_open s → a ∈ s → pfun.core f s ∈ l :=
rtendsto_nhds
theorem ptendsto'_nhds {α : Type u} {β : Type v} [topological_space α] {f : β →. α} {l : filter β}
{a : α} :
filter.ptendsto' f l (nhds a) ↔ ∀ (s : set α), is_open s → a ∈ s → pfun.preimage f s ∈ l :=
rtendsto'_nhds
theorem tendsto_nhds {α : Type u} {β : Type v} [topological_space α] {f : β → α} {l : filter β}
{a : α} : filter.tendsto f l (nhds a) ↔ ∀ (s : set α), is_open s → a ∈ s → f ⁻¹' s ∈ l :=
all_mem_nhds_filter a (fun (U : set α) => U)
(fun (s t : set α) (h : s ⊆ t) => set.preimage_mono h) (filter.map f l)
theorem tendsto_const_nhds {α : Type u} {β : Type v} [topological_space α] {a : α} {f : filter β} :
filter.tendsto (fun (b : β) => a) f (nhds a) :=
iff.mpr tendsto_nhds
fun (s : set α) (hs : is_open s) (ha : a ∈ s) => filter.univ_mem_sets' fun (_x : β) => ha
theorem pure_le_nhds {α : Type u} [topological_space α] : pure ≤ nhds :=
fun (a : α) (s : set α) (hs : s ∈ nhds a) => iff.mpr filter.mem_pure_sets (mem_of_nhds hs)
theorem tendsto_pure_nhds {β : Type v} {α : Type u_1} [topological_space β] (f : α → β) (a : α) :
filter.tendsto f (pure a) (nhds (f a)) :=
filter.tendsto.mono_right (filter.tendsto_pure_pure f a) (pure_le_nhds (f a))
theorem order_top.tendsto_at_top_nhds {β : Type v} {α : Type u_1} [order_top α]
[topological_space β] (f : α → β) : filter.tendsto f filter.at_top (nhds (f ⊤)) :=
filter.tendsto.mono_right (filter.tendsto_at_top_pure f) (pure_le_nhds (f ⊤))
@[simp] protected instance nhds_ne_bot {α : Type u} [topological_space α] {a : α} :
filter.ne_bot (nhds a) :=
filter.ne_bot_of_le (pure_le_nhds a)
/-!
### Cluster points
In this section we define [cluster points](https://en.wikipedia.org/wiki/Limit_point)
(also known as limit points and accumulation points) of a filter and of a sequence.
-/
/-- A point `x` is a cluster point of a filter `F` if 𝓝 x ⊓ F ≠ ⊥. Also known as
an accumulation point or a limit point. -/
def cluster_pt {α : Type u} [topological_space α] (x : α) (F : filter α) :=
filter.ne_bot (nhds x ⊓ F)
theorem cluster_pt.ne_bot {α : Type u} [topological_space α] {x : α} {F : filter α}
(h : cluster_pt x F) : filter.ne_bot (nhds x ⊓ F) :=
h
theorem cluster_pt_iff {α : Type u} [topological_space α] {x : α} {F : filter α} :
cluster_pt x F ↔ ∀ {U : set α}, U ∈ nhds x → ∀ {V : set α}, V ∈ F → set.nonempty (U ∩ V) :=
filter.inf_ne_bot_iff
/-- `x` is a cluster point of a set `s` if every neighbourhood of `x` meets `s` on a nonempty
set. -/
theorem cluster_pt_principal_iff {α : Type u} [topological_space α] {x : α} {s : set α} :
cluster_pt x (filter.principal s) ↔ ∀ (U : set α), U ∈ nhds x → set.nonempty (U ∩ s) :=
filter.inf_principal_ne_bot_iff
theorem cluster_pt_principal_iff_frequently {α : Type u} [topological_space α] {x : α} {s : set α} :
cluster_pt x (filter.principal s) ↔ filter.frequently (fun (y : α) => y ∈ s) (nhds x) :=
sorry
theorem cluster_pt.of_le_nhds {α : Type u} [topological_space α] {x : α} {f : filter α}
(H : f ≤ nhds x) [filter.ne_bot f] : cluster_pt x f :=
eq.mpr (id (Eq._oldrec (Eq.refl (cluster_pt x f)) (cluster_pt.equations._eqn_1 x f)))
(eq.mpr (id (Eq._oldrec (Eq.refl (filter.ne_bot (nhds x ⊓ f))) (iff.mpr inf_eq_right H)))
_inst_2)
theorem cluster_pt.of_le_nhds' {α : Type u} [topological_space α] {x : α} {f : filter α}
(H : f ≤ nhds x) (hf : filter.ne_bot f) : cluster_pt x f :=
cluster_pt.of_le_nhds H
theorem cluster_pt.of_nhds_le {α : Type u} [topological_space α] {x : α} {f : filter α}
(H : nhds x ≤ f) : cluster_pt x f :=
sorry
theorem cluster_pt.mono {α : Type u} [topological_space α] {x : α} {f : filter α} {g : filter α}
(H : cluster_pt x f) (h : f ≤ g) : cluster_pt x g :=
ne_bot_of_le_ne_bot H (inf_le_inf_left (nhds x) h)
theorem cluster_pt.of_inf_left {α : Type u} [topological_space α] {x : α} {f : filter α}
{g : filter α} (H : cluster_pt x (f ⊓ g)) : cluster_pt x f :=
cluster_pt.mono H inf_le_left
theorem cluster_pt.of_inf_right {α : Type u} [topological_space α] {x : α} {f : filter α}
{g : filter α} (H : cluster_pt x (f ⊓ g)) : cluster_pt x g :=
cluster_pt.mono H inf_le_right
theorem ultrafilter.cluster_pt_iff {α : Type u} [topological_space α] {x : α} {f : ultrafilter α} :
cluster_pt x ↑f ↔ ↑f ≤ nhds x :=
{ mp := ultrafilter.le_of_inf_ne_bot' f, mpr := fun (h : ↑f ≤ nhds x) => cluster_pt.of_le_nhds h }
/-- A point `x` is a cluster point of a sequence `u` along a filter `F` if it is a cluster point
of `map u F`. -/
def map_cluster_pt {α : Type u} [topological_space α] {ι : Type u_1} (x : α) (F : filter ι)
(u : ι → α) :=
cluster_pt x (filter.map u F)
theorem map_cluster_pt_iff {α : Type u} [topological_space α] {ι : Type u_1} (x : α) (F : filter ι)
(u : ι → α) :
map_cluster_pt x F u ↔
∀ (s : set α), s ∈ nhds x → filter.frequently (fun (a : ι) => u a ∈ s) F :=
sorry
theorem map_cluster_pt_of_comp {α : Type u} [topological_space α] {ι : Type u_1} {δ : Type u_2}
{F : filter ι} {φ : δ → ι} {p : filter δ} {x : α} {u : ι → α} [filter.ne_bot p]
(h : filter.tendsto φ p F) (H : filter.tendsto (u ∘ φ) p (nhds x)) : map_cluster_pt x F u :=
filter.ne_bot_of_le (le_inf H (trans_rel_right LessEq filter.map_map (filter.map_mono h)))
/-!
### Interior, closure and frontier in terms of neighborhoods
-/
theorem interior_eq_nhds' {α : Type u} [topological_space α] {s : set α} :
interior s = set_of fun (a : α) => s ∈ nhds a :=
sorry
theorem interior_eq_nhds {α : Type u} [topological_space α] {s : set α} :
interior s = set_of fun (a : α) => nhds a ≤ filter.principal s :=
sorry
theorem mem_interior_iff_mem_nhds {α : Type u} [topological_space α] {s : set α} {a : α} :
a ∈ interior s ↔ s ∈ nhds a :=
eq.mpr (id (Eq._oldrec (Eq.refl (a ∈ interior s ↔ s ∈ nhds a)) interior_eq_nhds'))
(eq.mpr
(id
(Eq._oldrec (Eq.refl ((a ∈ set_of fun (a : α) => s ∈ nhds a) ↔ s ∈ nhds a))
set.mem_set_of_eq))
(iff.refl (s ∈ nhds a)))
theorem interior_set_of_eq {α : Type u} [topological_space α] {p : α → Prop} :
interior (set_of fun (x : α) => p x) =
set_of fun (x : α) => filter.eventually (fun (x : α) => p x) (nhds x) :=
interior_eq_nhds'
theorem is_open_set_of_eventually_nhds {α : Type u} [topological_space α] {p : α → Prop} :
is_open (set_of fun (x : α) => filter.eventually (fun (y : α) => p y) (nhds x)) :=
sorry
theorem subset_interior_iff_nhds {α : Type u} [topological_space α] {s : set α} {V : set α} :
s ⊆ interior V ↔ ∀ (x : α), x ∈ s → V ∈ nhds x :=
sorry
theorem is_open_iff_nhds {α : Type u} [topological_space α] {s : set α} :
is_open s ↔ ∀ (a : α), a ∈ s → nhds a ≤ filter.principal s :=
iff.trans (iff.symm subset_interior_iff_open)
(eq.mpr
(id
(Eq._oldrec (Eq.refl (s ⊆ interior s ↔ ∀ (a : α), a ∈ s → nhds a ≤ filter.principal s))
interior_eq_nhds))
(iff.refl (s ⊆ set_of fun (a : α) => nhds a ≤ filter.principal s)))
theorem is_open_iff_mem_nhds {α : Type u} [topological_space α] {s : set α} :
is_open s ↔ ∀ (a : α), a ∈ s → s ∈ nhds a :=
iff.trans is_open_iff_nhds
(forall_congr fun (_x : α) => imp_congr_right fun (_x_1 : _x ∈ s) => filter.le_principal_iff)
theorem is_open_iff_ultrafilter {α : Type u} [topological_space α] {s : set α} :
is_open s ↔ ∀ (x : α), x ∈ s → ∀ (l : ultrafilter α), ↑l ≤ nhds x → s ∈ l :=
sorry
theorem mem_closure_iff_frequently {α : Type u} [topological_space α] {s : set α} {a : α} :
a ∈ closure s ↔ filter.frequently (fun (x : α) => x ∈ s) (nhds a) :=
sorry
theorem filter.frequently.mem_closure {α : Type u} [topological_space α] {s : set α} {a : α} :
filter.frequently (fun (x : α) => x ∈ s) (nhds a) → a ∈ closure s :=
iff.mpr mem_closure_iff_frequently
/-- The set of cluster points of a filter is closed. In particular, the set of limit points
of a sequence is closed. -/
theorem is_closed_set_of_cluster_pt {α : Type u} [topological_space α] {f : filter α} :
is_closed (set_of fun (x : α) => cluster_pt x f) :=
sorry
theorem mem_closure_iff_cluster_pt {α : Type u} [topological_space α] {s : set α} {a : α} :
a ∈ closure s ↔ cluster_pt a (filter.principal s) :=
iff.trans mem_closure_iff_frequently (iff.symm cluster_pt_principal_iff_frequently)
theorem closure_eq_cluster_pts {α : Type u} [topological_space α] {s : set α} :
closure s = set_of fun (a : α) => cluster_pt a (filter.principal s) :=
set.ext fun (x : α) => mem_closure_iff_cluster_pt
theorem mem_closure_iff_nhds {α : Type u} [topological_space α] {s : set α} {a : α} :
a ∈ closure s ↔ ∀ (t : set α), t ∈ nhds a → set.nonempty (t ∩ s) :=
iff.trans mem_closure_iff_cluster_pt cluster_pt_principal_iff
theorem mem_closure_iff_nhds' {α : Type u} [topological_space α] {s : set α} {a : α} :
a ∈ closure s ↔ ∀ (t : set α), t ∈ nhds a → ∃ (y : ↥s), ↑y ∈ t :=
sorry
theorem mem_closure_iff_comap_ne_bot {α : Type u} [topological_space α] {A : set α} {x : α} :
x ∈ closure A ↔ filter.ne_bot (filter.comap coe (nhds x)) :=
sorry
theorem mem_closure_iff_nhds_basis {α : Type u} {β : Type v} [topological_space α] {a : α}
{p : β → Prop} {s : β → set α} (h : filter.has_basis (nhds a) p s) {t : set α} :
a ∈ closure t ↔ ∀ (i : β), p i → ∃ (y : α), ∃ (H : y ∈ t), y ∈ s i :=
sorry
/-- `x` belongs to the closure of `s` if and only if some ultrafilter
supported on `s` converges to `x`. -/
theorem mem_closure_iff_ultrafilter {α : Type u} [topological_space α] {s : set α} {x : α} :
x ∈ closure s ↔ ∃ (u : ultrafilter α), s ∈ u ∧ ↑u ≤ nhds x :=
sorry
theorem is_closed_iff_cluster_pt {α : Type u} [topological_space α] {s : set α} :
is_closed s ↔ ∀ (a : α), cluster_pt a (filter.principal s) → a ∈ s :=
sorry
theorem is_closed_iff_nhds {α : Type u} [topological_space α] {s : set α} :
is_closed s ↔ ∀ (x : α), (∀ (U : set α), U ∈ nhds x → set.nonempty (U ∩ s)) → x ∈ s :=
sorry
theorem closure_inter_open {α : Type u} [topological_space α] {s : set α} {t : set α}
(h : is_open s) : s ∩ closure t ⊆ closure (s ∩ t) :=
sorry
/-- The intersection of an open dense set with a dense set is a dense set. -/
theorem dense.inter_of_open_left {α : Type u} [topological_space α] {s : set α} {t : set α}
(hs : dense s) (ht : dense t) (hso : is_open s) : dense (s ∩ t) :=
sorry
/-- The intersection of a dense set with an open dense set is a dense set. -/
theorem dense.inter_of_open_right {α : Type u} [topological_space α] {s : set α} {t : set α}
(hs : dense s) (ht : dense t) (hto : is_open t) : dense (s ∩ t) :=
set.inter_comm t s ▸ dense.inter_of_open_left ht hs hto
theorem dense.inter_nhds_nonempty {α : Type u} [topological_space α] {s : set α} {t : set α}
(hs : dense s) {x : α} (ht : t ∈ nhds x) : set.nonempty (s ∩ t) :=
sorry
theorem closure_diff {α : Type u} [topological_space α] {s : set α} {t : set α} :
closure s \ closure t ⊆ closure (s \ t) :=
sorry
theorem filter.frequently.mem_of_closed {α : Type u} [topological_space α] {a : α} {s : set α}
(h : filter.frequently (fun (x : α) => x ∈ s) (nhds a)) (hs : is_closed s) : a ∈ s :=
is_closed.closure_subset hs (filter.frequently.mem_closure h)
theorem is_closed.mem_of_frequently_of_tendsto {α : Type u} {β : Type v} [topological_space α]
{f : β → α} {b : filter β} {a : α} {s : set α} (hs : is_closed s)
(h : filter.frequently (fun (x : β) => f x ∈ s) b) (hf : filter.tendsto f b (nhds a)) : a ∈ s :=
sorry
theorem is_closed.mem_of_tendsto {α : Type u} {β : Type v} [topological_space α] {f : β → α}
{b : filter β} {a : α} {s : set α} [filter.ne_bot b] (hs : is_closed s)
(hf : filter.tendsto f b (nhds a)) (h : filter.eventually (fun (x : β) => f x ∈ s) b) : a ∈ s :=
is_closed.mem_of_frequently_of_tendsto hs (filter.eventually.frequently h) hf
theorem mem_closure_of_tendsto {α : Type u} {β : Type v} [topological_space α] {f : β → α}
{b : filter β} {a : α} {s : set α} [filter.ne_bot b] (hf : filter.tendsto f b (nhds a))
(h : filter.eventually (fun (x : β) => f x ∈ s) b) : a ∈ closure s :=
is_closed.mem_of_tendsto is_closed_closure hf
(filter.eventually.mono h (set.preimage_mono subset_closure))
/-- Suppose that `f` sends the complement to `s` to a single point `a`, and `l` is some filter.
Then `f` tends to `a` along `l` restricted to `s` if and only if it tends to `a` along `l`. -/
theorem tendsto_inf_principal_nhds_iff_of_forall_eq {α : Type u} {β : Type v} [topological_space α]
{f : β → α} {l : filter β} {s : set β} {a : α} (h : ∀ (x : β), ¬x ∈ s → f x = a) :
filter.tendsto f (l ⊓ filter.principal s) (nhds a) ↔ filter.tendsto f l (nhds a) :=
sorry
/-!
### Limits of filters in topological spaces
-/
/-- If `f` is a filter, then `Lim f` is a limit of the filter, if it exists. -/
def Lim {α : Type u} [topological_space α] [Nonempty α] (f : filter α) : α :=
classical.epsilon fun (a : α) => f ≤ nhds a
/--
If `f` is a filter satisfying `ne_bot f`, then `Lim' f` is a limit of the filter, if it exists.
-/
def Lim' {α : Type u} [topological_space α] (f : filter α) [filter.ne_bot f] : α := Lim f
/--
If `F` is an ultrafilter, then `filter.ultrafilter.Lim F` is a limit of the filter, if it exists.
Note that dot notation `F.Lim` can be used for `F : ultrafilter α`.
-/
def ultrafilter.Lim {α : Type u} [topological_space α] : ultrafilter α → α :=
fun (F : ultrafilter α) => Lim' ↑F
/-- If `f` is a filter in `β` and `g : β → α` is a function, then `lim f` is a limit of `g` at `f`,
if it exists. -/
def lim {α : Type u} {β : Type v} [topological_space α] [Nonempty α] (f : filter β) (g : β → α) :
α :=
Lim (filter.map g f)
/-- If a filter `f` is majorated by some `𝓝 a`, then it is majorated by `𝓝 (Lim f)`. We formulate
this lemma with a `[nonempty α]` argument of `Lim` derived from `h` to make it useful for types
without a `[nonempty α]` instance. Because of the built-in proof irrelevance, Lean will unify
this instance with any other instance. -/
theorem le_nhds_Lim {α : Type u} [topological_space α] {f : filter α} (h : ∃ (a : α), f ≤ nhds a) :
f ≤ nhds (Lim f) :=
classical.epsilon_spec h
/-- If `g` tends to some `𝓝 a` along `f`, then it tends to `𝓝 (lim f g)`. We formulate
this lemma with a `[nonempty α]` argument of `lim` derived from `h` to make it useful for types
without a `[nonempty α]` instance. Because of the built-in proof irrelevance, Lean will unify
this instance with any other instance. -/
theorem tendsto_nhds_lim {α : Type u} {β : Type v} [topological_space α] {f : filter β} {g : β → α}
(h : ∃ (a : α), filter.tendsto g f (nhds a)) : filter.tendsto g f (nhds (lim f g)) :=
le_nhds_Lim h
/-!
### Locally finite families
-/
/- locally finite family [General Topology (Bourbaki, 1995)] -/
/-- A family of sets in `set α` is locally finite if at every point `x:α`,
there is a neighborhood of `x` which meets only finitely many sets in the family -/
def locally_finite {α : Type u} {β : Type v} [topological_space α] (f : β → set α) :=
∀ (x : α),
∃ (t : set α), ∃ (H : t ∈ nhds x), set.finite (set_of fun (i : β) => set.nonempty (f i ∩ t))
theorem locally_finite_of_finite {α : Type u} {β : Type v} [topological_space α] {f : β → set α}
(h : set.finite set.univ) : locally_finite f :=
sorry
theorem locally_finite_subset {α : Type u} {β : Type v} [topological_space α] {f₁ : β → set α}
{f₂ : β → set α} (hf₂ : locally_finite f₂) (hf : ∀ (b : β), f₁ b ⊆ f₂ b) : locally_finite f₁ :=
sorry
theorem is_closed_Union_of_locally_finite {α : Type u} {β : Type v} [topological_space α]
{f : β → set α} (h₁ : locally_finite f) (h₂ : ∀ (i : β), is_closed (f i)) :
is_closed (set.Union fun (i : β) => f i) :=
sorry
/-!
### Continuity
-/
/-- A function between topological spaces is continuous if the preimage
of every open set is open. Registered as a structure to make sure it is not unfolded by Lean. -/
structure continuous {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
(f : α → β)
where
is_open_preimage : ∀ (s : set β), is_open s → is_open (f ⁻¹' s)
theorem continuous_def {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{f : α → β} : continuous f ↔ ∀ (s : set β), is_open s → is_open (f ⁻¹' s) :=
{ mp :=
fun (hf : continuous f) (s : set β) (hs : is_open s) => continuous.is_open_preimage hf s hs,
mpr := fun (h : ∀ (s : set β), is_open s → is_open (f ⁻¹' s)) => continuous.mk h }
theorem is_open.preimage {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{f : α → β} (hf : continuous f) {s : set β} (h : is_open s) : is_open (f ⁻¹' s) :=
continuous.is_open_preimage hf s h
/-- A function between topological spaces is continuous at a point `x₀`
if `f x` tends to `f x₀` when `x` tends to `x₀`. -/
def continuous_at {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
(f : α → β) (x : α) :=
filter.tendsto f (nhds x) (nhds (f x))
theorem continuous_at.tendsto {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} {x : α} (h : continuous_at f x) :
filter.tendsto f (nhds x) (nhds (f x)) :=
h
theorem continuous_at.preimage_mem_nhds {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} {x : α} {t : set β} (h : continuous_at f x)
(ht : t ∈ nhds (f x)) : f ⁻¹' t ∈ nhds x :=
h ht
theorem cluster_pt.map {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{x : α} {la : filter α} {lb : filter β} (H : cluster_pt x la) {f : α → β}
(hfc : continuous_at f x) (hf : filter.tendsto f la lb) : cluster_pt (f x) lb :=
ne_bot_of_le_ne_bot (iff.mpr (filter.map_ne_bot_iff f) H)
(filter.tendsto.inf (continuous_at.tendsto hfc) hf)
theorem preimage_interior_subset_interior_preimage {α : Type u_1} {β : Type u_2}
[topological_space α] [topological_space β] {f : α → β} {s : set β} (hf : continuous f) :
f ⁻¹' interior s ⊆ interior (f ⁻¹' s) :=
interior_maximal (set.preimage_mono interior_subset) (is_open.preimage hf is_open_interior)
theorem continuous_id {α : Type u_1} [topological_space α] : continuous id :=
iff.mpr continuous_def fun (s : set α) (h : is_open s) => h
theorem continuous.comp {α : Type u_1} {β : Type u_2} {γ : Type u_3} [topological_space α]
[topological_space β] [topological_space γ] {g : β → γ} {f : α → β} (hg : continuous g)
(hf : continuous f) : continuous (g ∘ f) :=
iff.mpr continuous_def
fun (s : set γ) (h : is_open s) => is_open.preimage hf (is_open.preimage hg h)
theorem continuous.iterate {α : Type u_1} [topological_space α] {f : α → α} (h : continuous f)
(n : ℕ) : continuous (nat.iterate f n) :=
nat.rec_on n continuous_id
fun (n : ℕ) (ihn : continuous (nat.iterate f n)) => continuous.comp ihn h
theorem continuous_at.comp {α : Type u_1} {β : Type u_2} {γ : Type u_3} [topological_space α]
[topological_space β] [topological_space γ] {g : β → γ} {f : α → β} {x : α}
(hg : continuous_at g (f x)) (hf : continuous_at f x) : continuous_at (g ∘ f) x :=
filter.tendsto.comp hg hf
theorem continuous.tendsto {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{f : α → β} (hf : continuous f) (x : α) : filter.tendsto f (nhds x) (nhds (f x)) :=
sorry
/-- A version of `continuous.tendsto` that allows one to specify a simpler form of the limit.
E.g., one can write `continuous_exp.tendsto' 0 1 exp_zero`. -/
theorem continuous.tendsto' {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} (hf : continuous f) (x : α) (y : β) (h : f x = y) :
filter.tendsto f (nhds x) (nhds y) :=
h ▸ continuous.tendsto hf x
theorem continuous.continuous_at {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} {x : α} (h : continuous f) : continuous_at f x :=
continuous.tendsto h x
theorem continuous_iff_continuous_at {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} : continuous f ↔ ∀ (x : α), continuous_at f x :=
sorry
theorem continuous_at_const {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {x : α} {b : β} : continuous_at (fun (a : α) => b) x :=
tendsto_const_nhds
theorem continuous_const {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{b : β} : continuous fun (a : α) => b :=
iff.mpr continuous_iff_continuous_at fun (a : α) => continuous_at_const
theorem continuous_at_id {α : Type u_1} [topological_space α] {x : α} : continuous_at id x :=
continuous.continuous_at continuous_id
theorem continuous_at.iterate {α : Type u_1} [topological_space α] {f : α → α} {x : α}
(hf : continuous_at f x) (hx : f x = x) (n : ℕ) : continuous_at (nat.iterate f n) x :=
nat.rec_on n continuous_at_id
fun (n : ℕ) (ihn : continuous_at (nat.iterate f n) x) =>
(fun (this : continuous_at (nat.iterate f n ∘ f) x) => this)
(continuous_at.comp (Eq.symm hx ▸ ihn) hf)
theorem continuous_iff_is_closed {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} :
continuous f ↔ ∀ (s : set β), is_closed s → is_closed (f ⁻¹' s) :=
sorry
theorem is_closed.preimage {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{f : α → β} (hf : continuous f) {s : set β} (h : is_closed s) : is_closed (f ⁻¹' s) :=
iff.mp continuous_iff_is_closed hf s h
theorem continuous_at_iff_ultrafilter {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} {x : α} :
continuous_at f x ↔ ∀ (g : ultrafilter α), ↑g ≤ nhds x → filter.tendsto f (↑g) (nhds (f x)) :=
filter.tendsto_iff_ultrafilter f (nhds x) (nhds (f x))
theorem continuous_iff_ultrafilter {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} :
continuous f ↔
∀ (x : α) (g : ultrafilter α), ↑g ≤ nhds x → filter.tendsto f (↑g) (nhds (f x)) :=
sorry
/-- A piecewise defined function `if p then f else g` is continuous, if both `f` and `g`
are continuous, and they coincide on the frontier (boundary) of the set `{a | p a}`. -/
theorem continuous_if {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{p : α → Prop} {f : α → β} {g : α → β} {h : (a : α) → Decidable (p a)}
(hp : ∀ (a : α), a ∈ frontier (set_of fun (a : α) => p a) → f a = g a) (hf : continuous f)
(hg : continuous g) : continuous fun (a : α) => ite (p a) (f a) (g a) :=
sorry
/-! ### Continuity and partial functions -/
/-- Continuity of a partial function -/
def pcontinuous {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
(f : α →. β) :=
∀ (s : set β), is_open s → is_open (pfun.preimage f s)
theorem open_dom_of_pcontinuous {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α →. β} (h : pcontinuous f) : is_open (pfun.dom f) :=
eq.mpr (id (Eq._oldrec (Eq.refl (is_open (pfun.dom f))) (Eq.symm (pfun.preimage_univ f))))
(h set.univ is_open_univ)
theorem pcontinuous_iff' {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{f : α →. β} :
pcontinuous f ↔ ∀ {x : α} {y : β}, y ∈ f x → filter.ptendsto' f (nhds x) (nhds y) :=
sorry
/-- If a continuous map `f` maps `s` to `t`, then it maps `closure s` to `closure t`. -/
theorem set.maps_to.closure {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {s : set α} {t : set β} {f : α → β} (h : set.maps_to f s t)
(hc : continuous f) : set.maps_to f (closure s) (closure t) :=
sorry
theorem image_closure_subset_closure_image {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} {s : set α} (h : continuous f) :
f '' closure s ⊆ closure (f '' s) :=
set.maps_to.image_subset (set.maps_to.closure (set.maps_to_image f s) h)
theorem map_mem_closure {α : Type u_1} {β : Type u_2} [topological_space α] [topological_space β]
{s : set α} {t : set β} {f : α → β} {a : α} (hf : continuous f) (ha : a ∈ closure s)
(ht : ∀ (a : α), a ∈ s → f a ∈ t) : f a ∈ closure t :=
set.maps_to.closure ht hf ha
/-!
### Function with dense range
-/
/-- `f : ι → β` has dense range if its range (image) is a dense subset of β. -/
def dense_range {β : Type u_2} [topological_space β] {κ : Type u_5} (f : κ → β) :=
dense (set.range f)
/-- A surjective map has dense range. -/
theorem function.surjective.dense_range {β : Type u_2} [topological_space β] {κ : Type u_5}
{f : κ → β} (hf : function.surjective f) : dense_range f :=
sorry
theorem dense_range_iff_closure_range {β : Type u_2} [topological_space β] {κ : Type u_5}
{f : κ → β} : dense_range f ↔ closure (set.range f) = set.univ :=
dense_iff_closure_eq
theorem dense_range.closure_range {β : Type u_2} [topological_space β] {κ : Type u_5} {f : κ → β}
(h : dense_range f) : closure (set.range f) = set.univ :=
dense.closure_eq h
theorem continuous.range_subset_closure_image_dense {α : Type u_1} {β : Type u_2}
[topological_space α] [topological_space β] {f : α → β} (hf : continuous f) {s : set α}
(hs : dense s) : set.range f ⊆ closure (f '' s) :=
eq.mpr (id (Eq._oldrec (Eq.refl (set.range f ⊆ closure (f '' s))) (Eq.symm set.image_univ)))
(eq.mpr
(id (Eq._oldrec (Eq.refl (f '' set.univ ⊆ closure (f '' s))) (Eq.symm (dense.closure_eq hs))))
(image_closure_subset_closure_image hf))
/-- The image of a dense set under a continuous map with dense range is a dense set. -/
theorem dense_range.dense_image {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} (hf' : dense_range f) (hf : continuous f) {s : set α}
(hs : dense s) : dense (f '' s) :=
dense.of_closure (dense.mono (continuous.range_subset_closure_image_dense hf hs) hf')
/-- If a continuous map with dense range maps a dense set to a subset of `t`, then `t` is a dense
set. -/
theorem dense_range.dense_of_maps_to {α : Type u_1} {β : Type u_2} [topological_space α]
[topological_space β] {f : α → β} (hf' : dense_range f) (hf : continuous f) {s : set α}
(hs : dense s) {t : set β} (ht : set.maps_to f s t) : dense t :=
dense.mono (set.maps_to.image_subset ht) (dense_range.dense_image hf' hf hs)
/-- Composition of a continuous map with dense range and a function with dense range has dense
range. -/
theorem dense_range.comp {β : Type u_2} {γ : Type u_3} [topological_space β] [topological_space γ]
{κ : Type u_5} {g : β → γ} {f : κ → β} (hg : dense_range g) (hf : dense_range f)
(cg : continuous g) : dense_range (g ∘ f) :=
eq.mpr (id (Eq._oldrec (Eq.refl (dense_range (g ∘ f))) (dense_range.equations._eqn_1 (g ∘ f))))
(eq.mpr (id (Eq._oldrec (Eq.refl (dense (set.range (g ∘ f)))) (set.range_comp g f)))
(dense_range.dense_image hg cg hf))
theorem dense_range.nonempty_iff {β : Type u_2} [topological_space β] {κ : Type u_5} {f : κ → β}
(hf : dense_range f) : Nonempty κ ↔ Nonempty β :=
iff.trans (iff.symm set.range_nonempty_iff_nonempty) (dense.nonempty_iff hf)
theorem dense_range.nonempty {β : Type u_2} [topological_space β] {κ : Type u_5} {f : κ → β}
[h : Nonempty β] (hf : dense_range f) : Nonempty κ :=
iff.mpr (dense_range.nonempty_iff hf) h
/-- Given a function `f : α → β` with dense range and `b : β`, returns some `a : α`. -/
def dense_range.some {β : Type u_2} [topological_space β] {κ : Type u_5} {f : κ → β}
(hf : dense_range f) (b : β) : κ :=
Classical.choice sorry
end Mathlib |
03eb7d544b2247652d43dbc747b4d145fd65b9df | ff5230333a701471f46c57e8c115a073ebaaa448 | /library/init/category/state.lean | bd615af836afa5b6293cf2bad256d4a2c7b31b6b | [
"Apache-2.0"
] | permissive | stanford-cs242/lean | f81721d2b5d00bc175f2e58c57b710d465e6c858 | 7bd861261f4a37326dcf8d7a17f1f1f330e4548c | refs/heads/master | 1,600,957,431,849 | 1,576,465,093,000 | 1,576,465,093,000 | 225,779,423 | 0 | 3 | Apache-2.0 | 1,575,433,936,000 | 1,575,433,935,000 | null | UTF-8 | Lean | false | false | 7,791 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Sebastian Ullrich
The state monad transformer.
-/
prelude
import init.category.alternative init.category.lift
import init.category.id init.category.except
universes u v w
structure state_t (σ : Type u) (m : Type u → Type v) (α : Type u) : Type (max u v) :=
(run : σ → m (α × σ))
attribute [pp_using_anonymous_constructor] state_t
@[reducible] def state (σ α : Type u) : Type u := state_t σ id α
namespace state_t
section
variables {σ : Type u} {m : Type u → Type v}
variable [monad m]
variables {α β : Type u}
@[inline] protected def pure (a : α) : state_t σ m α :=
⟨λ s, pure (a, s)⟩
@[inline] protected def bind (x : state_t σ m α) (f : α → state_t σ m β) : state_t σ m β :=
⟨λ s, do (a, s') ← x.run s,
(f a).run s'⟩
instance : monad (state_t σ m) :=
{ pure := @state_t.pure _ _ _, bind := @state_t.bind _ _ _ }
protected def orelse [alternative m] {α : Type u} (x₁ x₂ : state_t σ m α) : state_t σ m α :=
⟨λ s, x₁.run s <|> x₂.run s⟩
protected def failure [alternative m] {α : Type u} : state_t σ m α :=
⟨λ s, failure⟩
instance [alternative m] : alternative (state_t σ m) :=
{ failure := @state_t.failure _ _ _ _,
orelse := @state_t.orelse _ _ _ _ }
@[inline] protected def get : state_t σ m σ :=
⟨λ s, pure (s, s)⟩
@[inline] protected def put : σ → state_t σ m punit :=
λ s', ⟨λ s, pure (punit.star, s')⟩
@[inline] protected def modify (f : σ → σ) : state_t σ m punit :=
⟨λ s, pure (punit.star, f s)⟩
@[inline] protected def lift {α : Type u} (t : m α) : state_t σ m α :=
⟨λ s, do a ← t, pure (a, s)⟩
instance : has_monad_lift m (state_t σ m) :=
⟨@state_t.lift σ m _⟩
@[inline] protected def monad_map {σ m m'} [monad m] [monad m'] {α} (f : Π {α}, m α → m' α) :
state_t σ m α → state_t σ m' α :=
λ x, ⟨λ st, f (x.run st)⟩
instance (σ m m') [monad m] [monad m'] : monad_functor m m' (state_t σ m) (state_t σ m') :=
⟨@state_t.monad_map σ m m' _ _⟩
protected def adapt {σ σ' σ'' α : Type u} {m : Type u → Type v} [monad m] (split : σ → σ' × σ'')
(join : σ' → σ'' → σ) (x : state_t σ' m α) : state_t σ m α :=
⟨λ st, do let (st, ctx) := split st,
(a, st') ← x.run st,
pure (a, join st' ctx)⟩
instance (ε) [monad_except ε m] : monad_except ε (state_t σ m) :=
{ throw := λ α, state_t.lift ∘ throw,
catch := λ α x c, ⟨λ s, catch (x.run s) (λ e, state_t.run (c e) s)⟩ }
end
end state_t
/-- An implementation of [MonadState](https://hackage.haskell.org/package/mtl-2.2.2/docs/Control-Monad-State-Class.html).
In contrast to the Haskell implementation, we use overlapping instances to derive instances
automatically from `monad_lift`.
Note: This class can be seen as a simplification of the more "principled" definition
```
class monad_state_lift (σ : out_param (Type u)) (n : Type u → Type u) :=
(lift {} {α : Type u} : (∀ {m : Type u → Type u} [monad m], state_t σ m α) → n α)
```
which better describes the intent of "we can lift a `state_t` from anywhere in the monad stack".
However, by parametricity the types `∀ m [monad m], σ → m (α × σ)` and `σ → α × σ` should be
equivalent because the only way to obtain an `m` is through `pure`.
-/
class monad_state (σ : out_param (Type u)) (m : Type u → Type v) :=
(lift {} {α : Type u} : state σ α → m α)
section
variables {σ : Type u} {m : Type u → Type v}
-- NOTE: The ordering of the following two instances determines that the top-most `state_t` monad layer
-- will be picked first
instance monad_state_trans {n : Type u → Type w} [has_monad_lift m n] [monad_state σ m] : monad_state σ n :=
⟨λ α x, monad_lift (monad_state.lift x : m α)⟩
instance [monad m] : monad_state σ (state_t σ m) :=
⟨λ α x, ⟨λ s, pure (x.run s)⟩⟩
variables [monad m] [monad_state σ m]
/-- Obtain the top-most state of a monad stack. -/
@[inline] def get : m σ :=
monad_state.lift state_t.get
/-- Set the top-most state of a monad stack. -/
@[inline] def put (st : σ) : m punit :=
monad_state.lift (state_t.put st)
/-- Map the top-most state of a monad stack.
Note: `modify f` may be preferable to `f <$> get >>= put` because the latter
does not use the state linearly (without sufficient inlining). -/
@[inline] def modify (f : σ → σ) : m punit :=
monad_state.lift (state_t.modify f)
end
/-- Adapt a monad stack, changing the type of its top-most state.
This class is comparable to [Control.Lens.Zoom](https://hackage.haskell.org/package/lens-4.15.4/docs/Control-Lens-Zoom.html#t:Zoom), but does not use lenses (yet?), and is derived automatically for any transformer implementing `monad_functor`.
For zooming into a part of the state, the `split` function should split σ into the part σ' and the "context" σ'' so that the potentially modified σ' and the context can be rejoined by `join` in the end.
In the simplest case, the context can be chosen as the full outer state (ie. `σ'' = σ`), which makes `split` and `join` simpler to define. However, note that the state will not be used linearly in this case.
Example:
```
def zoom_fst {α σ σ' : Type} : state σ α → state (σ × σ') α :=
adapt_state id prod.mk
```
The function can also zoom out into a "larger" state, where the new parts are supplied by `split` and discarded by `join` in the end. The state is therefore not used linearly anymore but merely affinely, which is not a practically relevant distinction in Lean.
Example:
```
def with_snd {α σ σ' : Type} (snd : σ') : state (σ × σ') α → state σ α :=
adapt_state (λ st, ((st, snd), ())) (λ ⟨st,snd⟩ _, st)
```
Note: This class can be seen as a simplification of the more "principled" definition
```
class monad_state_functor (σ σ' : out_param (Type u)) (n n' : Type u → Type u) :=
(map {} {α : Type u} : (∀ {m : Type u → Type u} [monad m], state_t σ m α → state_t σ' m α) → n α → n' α)
```
which better describes the intent of "we can map a `state_t` anywhere in the monad stack".
If we look at the unfolded type of the first argument `∀ m [monad m], (σ → m (α × σ)) → σ' → m (α × σ')`, we see that it has the lens type `∀ f [functor f], (α → f α) → β → f β` with `f` specialized to `λ σ, m (α × σ)` (exercise: show that this is a lawful functor). We can build all lenses we are insterested in from the functions `split` and `join` as
```
λ f _ st, let (st, ctx) := split st in
(λ st', join st' ctx) <$> f st
```
-/
class monad_state_adapter (σ σ' : out_param (Type u)) (m m' : Type u → Type v) :=
(adapt_state {} {σ'' α : Type u} (split : σ' → σ × σ'') (join : σ → σ'' → σ') : m α → m' α)
export monad_state_adapter (adapt_state)
section
variables {σ σ' : Type u} {m m' : Type u → Type v}
instance monad_state_adapter_trans {n n' : Type u → Type v} [monad_functor m m' n n'] [monad_state_adapter σ σ' m m'] : monad_state_adapter σ σ' n n' :=
⟨λ σ'' α split join, monad_map (λ α, (adapt_state split join : m α → m' α))⟩
instance [monad m] : monad_state_adapter σ σ' (state_t σ m) (state_t σ' m) :=
⟨λ σ'' α, state_t.adapt⟩
end
instance (σ m out) [monad_run out m] : monad_run (λ α, σ → out (α × σ)) (state_t σ m) :=
⟨λ α x, run ∘ (λ σ, x.run σ)⟩
|
919fe8bb28abcf1108273619050297b2746e5b4d | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/analysis/calculus/fderiv_measurable.lean | 4a4a653356c2b9a9159421d4d1a73dd4cb503213 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 41,042 | lean | /-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov
-/
import analysis.calculus.deriv
import measure_theory.constructions.borel_space
import measure_theory.function.strongly_measurable.basic
import tactic.ring_exp
/-!
# Derivative is measurable
In this file we prove that the derivative of any function with complete codomain is a measurable
function. Namely, we prove:
* `measurable_set_of_differentiable_at`: the set `{x | differentiable_at 𝕜 f x}` is measurable;
* `measurable_fderiv`: the function `fderiv 𝕜 f` is measurable;
* `measurable_fderiv_apply_const`: for a fixed vector `y`, the function `λ x, fderiv 𝕜 f x y`
is measurable;
* `measurable_deriv`: the function `deriv f` is measurable (for `f : 𝕜 → F`).
We also show the same results for the right derivative on the real line
(see `measurable_deriv_within_Ici` and ``measurable_deriv_within_Ioi`), following the same
proof strategy.
## Implementation
We give a proof that avoids second-countability issues, by expressing the differentiability set
as a function of open sets in the following way. Define `A (L, r, ε)` to be the set of points
where, on a ball of radius roughly `r` around `x`, the function is uniformly approximated by the
linear map `L`, up to `ε r`. It is an open set.
Let also `B (L, r, s, ε) = A (L, r, ε) ∩ A (L, s, ε)`: we require that at two possibly different
scales `r` and `s`, the function is well approximated by the linear map `L`. It is also open.
We claim that the differentiability set of `f` is exactly
`D = ⋂ ε > 0, ⋃ δ > 0, ⋂ r, s < δ, ⋃ L, B (L, r, s, ε)`.
In other words, for any `ε > 0`, we require that there is a size `δ` such that, for any two scales
below this size, the function is well approximated by a linear map, common to the two scales.
The set `⋃ L, B (L, r, s, ε)` is open, as a union of open sets. Converting the intersections and
unions to countable ones (using real numbers of the form `2 ^ (-n)`), it follows that the
differentiability set is measurable.
To prove the claim, there are two inclusions. One is trivial: if the function is differentiable
at `x`, then `x` belongs to `D` (just take `L` to be the derivative, and use that the
differentiability exactly says that the map is well approximated by `L`). This is proved in
`mem_A_of_differentiable` and `differentiable_set_subset_D`.
For the other direction, the difficulty is that `L` in the union may depend on `ε, r, s`. The key
point is that, in fact, it doesn't depend too much on them. First, if `x` belongs both to
`A (L, r, ε)` and `A (L', r, ε)`, then `L` and `L'` have to be close on a shell, and thus
`‖L - L'‖` is bounded by `ε` (see `norm_sub_le_of_mem_A`). Assume now `x ∈ D`. If one has two maps
`L` and `L'` such that `x` belongs to `A (L, r, ε)` and to `A (L', r', ε')`, one deduces that `L` is
close to `L'` by arguing as follows. Consider another scale `s` smaller than `r` and `r'`. Take a
linear map `L₁` that approximates `f` around `x` both at scales `r` and `s` w.r.t. `ε` (it exists as
`x` belongs to `D`). Take also `L₂` that approximates `f` around `x` both at scales `r'` and `s`
w.r.t. `ε'`. Then `L₁` is close to `L` (as they are close on a shell of radius `r`), and `L₂` is
close to `L₁` (as they are close on a shell of radius `s`), and `L'` is close to `L₂` (as they are
close on a shell of radius `r'`). It follows that `L` is close to `L'`, as we claimed.
It follows that the different approximating linear maps that show up form a Cauchy sequence when
`ε` tends to `0`. When the target space is complete, this sequence converges, to a limit `f'`.
With the same kind of arguments, one checks that `f` is differentiable with derivative `f'`.
To show that the derivative itself is measurable, add in the definition of `B` and `D` a set
`K` of continuous linear maps to which `L` should belong. Then, when `K` is complete, the set `D K`
is exactly the set of points where `f` is differentiable with a derivative in `K`.
## Tags
derivative, measurable function, Borel σ-algebra
-/
noncomputable theory
open set metric asymptotics filter continuous_linear_map
open topological_space (second_countable_topology) measure_theory
open_locale topological_space
namespace continuous_linear_map
variables {𝕜 E F : Type*} [nontrivially_normed_field 𝕜]
[normed_add_comm_group E] [normed_space 𝕜 E] [normed_add_comm_group F] [normed_space 𝕜 F]
lemma measurable_apply₂ [measurable_space E] [opens_measurable_space E]
[second_countable_topology E] [second_countable_topology (E →L[𝕜] F)]
[measurable_space F] [borel_space F] :
measurable (λ p : (E →L[𝕜] F) × E, p.1 p.2) :=
is_bounded_bilinear_map_apply.continuous.measurable
end continuous_linear_map
section fderiv
variables {𝕜 : Type*} [nontrivially_normed_field 𝕜]
variables {E : Type*} [normed_add_comm_group E] [normed_space 𝕜 E]
variables {F : Type*} [normed_add_comm_group F] [normed_space 𝕜 F]
variables {f : E → F} (K : set (E →L[𝕜] F))
namespace fderiv_measurable_aux
/-- The set `A f L r ε` is the set of points `x` around which the function `f` is well approximated
at scale `r` by the linear map `L`, up to an error `ε`. We tweak the definition to make sure that
this is an open set.-/
def A (f : E → F) (L : E →L[𝕜] F) (r ε : ℝ) : set E :=
{x | ∃ r' ∈ Ioc (r/2) r, ∀ y z ∈ ball x r', ‖f z - f y - L (z-y)‖ ≤ ε * r}
/-- The set `B f K r s ε` is the set of points `x` around which there exists a continuous linear map
`L` belonging to `K` (a given set of continuous linear maps) that approximates well the
function `f` (up to an error `ε`), simultaneously at scales `r` and `s`. -/
def B (f : E → F) (K : set (E →L[𝕜] F)) (r s ε : ℝ) : set E :=
⋃ (L ∈ K), (A f L r ε) ∩ (A f L s ε)
/-- The set `D f K` is a complicated set constructed using countable intersections and unions. Its
main use is that, when `K` is complete, it is exactly the set of points where `f` is differentiable,
with a derivative in `K`. -/
def D (f : E → F) (K : set (E →L[𝕜] F)) : set E :=
⋂ (e : ℕ), ⋃ (n : ℕ), ⋂ (p ≥ n) (q ≥ n), B f K ((1/2) ^ p) ((1/2) ^ q) ((1/2) ^ e)
lemma is_open_A (L : E →L[𝕜] F) (r ε : ℝ) : is_open (A f L r ε) :=
begin
rw metric.is_open_iff,
rintros x ⟨r', r'_mem, hr'⟩,
obtain ⟨s, s_gt, s_lt⟩ : ∃ (s : ℝ), r / 2 < s ∧ s < r' := exists_between r'_mem.1,
have : s ∈ Ioc (r/2) r := ⟨s_gt, le_of_lt (s_lt.trans_le r'_mem.2)⟩,
refine ⟨r' - s, by linarith, λ x' hx', ⟨s, this, _⟩⟩,
have B : ball x' s ⊆ ball x r' := ball_subset (le_of_lt hx'),
assume y hy z hz,
exact hr' y (B hy) z (B hz)
end
lemma is_open_B {K : set (E →L[𝕜] F)} {r s ε : ℝ} : is_open (B f K r s ε) :=
by simp [B, is_open_Union, is_open.inter, is_open_A]
lemma A_mono (L : E →L[𝕜] F) (r : ℝ) {ε δ : ℝ} (h : ε ≤ δ) :
A f L r ε ⊆ A f L r δ :=
begin
rintros x ⟨r', r'r, hr'⟩,
refine ⟨r', r'r, λ y hy z hz, (hr' y hy z hz).trans (mul_le_mul_of_nonneg_right h _)⟩,
linarith [mem_ball.1 hy, r'r.2, @dist_nonneg _ _ y x],
end
lemma le_of_mem_A {r ε : ℝ} {L : E →L[𝕜] F} {x : E} (hx : x ∈ A f L r ε)
{y z : E} (hy : y ∈ closed_ball x (r/2)) (hz : z ∈ closed_ball x (r/2)) :
‖f z - f y - L (z-y)‖ ≤ ε * r :=
begin
rcases hx with ⟨r', r'mem, hr'⟩,
exact hr' _ ((mem_closed_ball.1 hy).trans_lt r'mem.1) _ ((mem_closed_ball.1 hz).trans_lt r'mem.1)
end
lemma mem_A_of_differentiable {ε : ℝ} (hε : 0 < ε) {x : E} (hx : differentiable_at 𝕜 f x) :
∃ R > 0, ∀ r ∈ Ioo (0 : ℝ) R, x ∈ A f (fderiv 𝕜 f x) r ε :=
begin
have := hx.has_fderiv_at,
simp only [has_fderiv_at, has_fderiv_at_filter, is_o_iff] at this,
rcases eventually_nhds_iff_ball.1 (this (half_pos hε)) with ⟨R, R_pos, hR⟩,
refine ⟨R, R_pos, λ r hr, _⟩,
have : r ∈ Ioc (r/2) r := ⟨half_lt_self hr.1, le_rfl⟩,
refine ⟨r, this, λ y hy z hz, _⟩,
calc ‖f z - f y - (fderiv 𝕜 f x) (z - y)‖
= ‖(f z - f x - (fderiv 𝕜 f x) (z - x)) - (f y - f x - (fderiv 𝕜 f x) (y - x))‖ :
by { congr' 1, simp only [continuous_linear_map.map_sub], abel }
... ≤ ‖(f z - f x - (fderiv 𝕜 f x) (z - x))‖ + ‖f y - f x - (fderiv 𝕜 f x) (y - x)‖ :
norm_sub_le _ _
... ≤ ε / 2 * ‖z - x‖ + ε / 2 * ‖y - x‖ :
add_le_add (hR _ (lt_trans (mem_ball.1 hz) hr.2)) (hR _ (lt_trans (mem_ball.1 hy) hr.2))
... ≤ ε / 2 * r + ε / 2 * r :
add_le_add
(mul_le_mul_of_nonneg_left (le_of_lt (mem_ball_iff_norm.1 hz)) (le_of_lt (half_pos hε)))
(mul_le_mul_of_nonneg_left (le_of_lt (mem_ball_iff_norm.1 hy)) (le_of_lt (half_pos hε)))
... = ε * r : by ring
end
lemma norm_sub_le_of_mem_A {c : 𝕜} (hc : 1 < ‖c‖)
{r ε : ℝ} (hε : 0 < ε) (hr : 0 < r) {x : E} {L₁ L₂ : E →L[𝕜] F}
(h₁ : x ∈ A f L₁ r ε) (h₂ : x ∈ A f L₂ r ε) : ‖L₁ - L₂‖ ≤ 4 * ‖c‖ * ε :=
begin
have : 0 ≤ 4 * ‖c‖ * ε :=
mul_nonneg (mul_nonneg (by norm_num : (0 : ℝ) ≤ 4) (norm_nonneg _)) hε.le,
refine op_norm_le_of_shell (half_pos hr) this hc _,
assume y ley ylt,
rw [div_div,
div_le_iff' (mul_pos (by norm_num : (0 : ℝ) < 2) (zero_lt_one.trans hc))] at ley,
calc ‖(L₁ - L₂) y‖
= ‖(f (x + y) - f x - L₂ ((x + y) - x)) - (f (x + y) - f x - L₁ ((x + y) - x))‖ : by simp
... ≤ ‖(f (x + y) - f x - L₂ ((x + y) - x))‖ + ‖(f (x + y) - f x - L₁ ((x + y) - x))‖ :
norm_sub_le _ _
... ≤ ε * r + ε * r :
begin
apply add_le_add,
{ apply le_of_mem_A h₂,
{ simp only [le_of_lt (half_pos hr), mem_closed_ball, dist_self] },
{ simp only [dist_eq_norm, add_sub_cancel', mem_closed_ball, ylt.le], } },
{ apply le_of_mem_A h₁,
{ simp only [le_of_lt (half_pos hr), mem_closed_ball, dist_self] },
{ simp only [dist_eq_norm, add_sub_cancel', mem_closed_ball, ylt.le] } },
end
... = 2 * ε * r : by ring
... ≤ 2 * ε * (2 * ‖c‖ * ‖y‖) : mul_le_mul_of_nonneg_left ley (mul_nonneg (by norm_num) hε.le)
... = 4 * ‖c‖ * ε * ‖y‖ : by ring
end
/-- Easy inclusion: a differentiability point with derivative in `K` belongs to `D f K`. -/
lemma differentiable_set_subset_D : {x | differentiable_at 𝕜 f x ∧ fderiv 𝕜 f x ∈ K} ⊆ D f K :=
begin
assume x hx,
rw [D, mem_Inter],
assume e,
have : (0 : ℝ) < (1/2) ^ e := pow_pos (by norm_num) _,
rcases mem_A_of_differentiable this hx.1 with ⟨R, R_pos, hR⟩,
obtain ⟨n, hn⟩ : ∃ (n : ℕ), (1/2) ^ n < R :=
exists_pow_lt_of_lt_one R_pos (by norm_num : (1 : ℝ)/2 < 1),
simp only [mem_Union, mem_Inter, B, mem_inter_iff],
refine ⟨n, λ p hp q hq, ⟨fderiv 𝕜 f x, hx.2, ⟨_, _⟩⟩⟩;
{ refine hR _ ⟨pow_pos (by norm_num) _, lt_of_le_of_lt _ hn⟩,
exact pow_le_pow_of_le_one (by norm_num) (by norm_num) (by assumption) }
end
/-- Harder inclusion: at a point in `D f K`, the function `f` has a derivative, in `K`. -/
lemma D_subset_differentiable_set {K : set (E →L[𝕜] F)} (hK : is_complete K) :
D f K ⊆ {x | differentiable_at 𝕜 f x ∧ fderiv 𝕜 f x ∈ K} :=
begin
have P : ∀ {n : ℕ}, (0 : ℝ) < (1/2) ^ n := pow_pos (by norm_num),
rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩,
have cpos : 0 < ‖c‖ := lt_trans zero_lt_one hc,
assume x hx,
have : ∀ (e : ℕ), ∃ (n : ℕ), ∀ p q, n ≤ p → n ≤ q → ∃ L ∈ K,
x ∈ A f L ((1/2) ^ p) ((1/2) ^ e) ∩ A f L ((1/2) ^ q) ((1/2) ^ e),
{ assume e,
have := mem_Inter.1 hx e,
rcases mem_Union.1 this with ⟨n, hn⟩,
refine ⟨n, λ p q hp hq, _⟩,
simp only [mem_Inter, ge_iff_le] at hn,
rcases mem_Union.1 (hn p hp q hq) with ⟨L, hL⟩,
exact ⟨L, mem_Union.1 hL⟩, },
/- Recast the assumptions: for each `e`, there exist `n e` and linear maps `L e p q` in `K`
such that, for `p, q ≥ n e`, then `f` is well approximated by `L e p q` at scale `2 ^ (-p)` and
`2 ^ (-q)`, with an error `2 ^ (-e)`. -/
choose! n L hn using this,
/- All the operators `L e p q` that show up are close to each other. To prove this, we argue
that `L e p q` is close to `L e p r` (where `r` is large enough), as both approximate `f` at
scale `2 ^(- p)`. And `L e p r` is close to `L e' p' r` as both approximate `f` at scale
`2 ^ (- r)`. And `L e' p' r` is close to `L e' p' q'` as both approximate `f` at scale
`2 ^ (- p')`. -/
have M : ∀ e p q e' p' q', n e ≤ p → n e ≤ q → n e' ≤ p' → n e' ≤ q' → e ≤ e' →
‖L e p q - L e' p' q'‖ ≤ 12 * ‖c‖ * (1/2) ^ e,
{ assume e p q e' p' q' hp hq hp' hq' he',
let r := max (n e) (n e'),
have I : ((1:ℝ)/2)^e' ≤ (1/2)^e := pow_le_pow_of_le_one (by norm_num) (by norm_num) he',
have J1 : ‖L e p q - L e p r‖ ≤ 4 * ‖c‖ * (1/2)^e,
{ have I1 : x ∈ A f (L e p q) ((1 / 2) ^ p) ((1/2)^e) :=
(hn e p q hp hq).2.1,
have I2 : x ∈ A f (L e p r) ((1 / 2) ^ p) ((1/2)^e) :=
(hn e p r hp (le_max_left _ _)).2.1,
exact norm_sub_le_of_mem_A hc P P I1 I2 },
have J2 : ‖L e p r - L e' p' r‖ ≤ 4 * ‖c‖ * (1/2)^e,
{ have I1 : x ∈ A f (L e p r) ((1 / 2) ^ r) ((1/2)^e) :=
(hn e p r hp (le_max_left _ _)).2.2,
have I2 : x ∈ A f (L e' p' r) ((1 / 2) ^ r) ((1/2)^e') :=
(hn e' p' r hp' (le_max_right _ _)).2.2,
exact norm_sub_le_of_mem_A hc P P I1 (A_mono _ _ I I2) },
have J3 : ‖L e' p' r - L e' p' q'‖ ≤ 4 * ‖c‖ * (1/2)^e,
{ have I1 : x ∈ A f (L e' p' r) ((1 / 2) ^ p') ((1/2)^e') :=
(hn e' p' r hp' (le_max_right _ _)).2.1,
have I2 : x ∈ A f (L e' p' q') ((1 / 2) ^ p') ((1/2)^e') :=
(hn e' p' q' hp' hq').2.1,
exact norm_sub_le_of_mem_A hc P P (A_mono _ _ I I1) (A_mono _ _ I I2) },
calc ‖L e p q - L e' p' q'‖
= ‖(L e p q - L e p r) + (L e p r - L e' p' r) + (L e' p' r - L e' p' q')‖ :
by { congr' 1, abel }
... ≤ ‖L e p q - L e p r‖ + ‖L e p r - L e' p' r‖ + ‖L e' p' r - L e' p' q'‖ :
le_trans (norm_add_le _ _) (add_le_add_right (norm_add_le _ _) _)
... ≤ 4 * ‖c‖ * (1/2)^e + 4 * ‖c‖ * (1/2)^e + 4 * ‖c‖ * (1/2)^e :
by apply_rules [add_le_add]
... = 12 * ‖c‖ * (1/2)^e : by ring },
/- For definiteness, use `L0 e = L e (n e) (n e)`, to have a single sequence. We claim that this
is a Cauchy sequence. -/
let L0 : ℕ → (E →L[𝕜] F) := λ e, L e (n e) (n e),
have : cauchy_seq L0,
{ rw metric.cauchy_seq_iff',
assume ε εpos,
obtain ⟨e, he⟩ : ∃ (e : ℕ), (1/2) ^ e < ε / (12 * ‖c‖) :=
exists_pow_lt_of_lt_one (div_pos εpos (mul_pos (by norm_num) cpos)) (by norm_num),
refine ⟨e, λ e' he', _⟩,
rw [dist_comm, dist_eq_norm],
calc ‖L0 e - L0 e'‖
≤ 12 * ‖c‖ * (1/2)^e : M _ _ _ _ _ _ le_rfl le_rfl le_rfl le_rfl he'
... < 12 * ‖c‖ * (ε / (12 * ‖c‖)) :
mul_lt_mul' le_rfl he (le_of_lt P) (mul_pos (by norm_num) cpos)
... = ε : by { field_simp [(by norm_num : (12 : ℝ) ≠ 0), ne_of_gt cpos], ring } },
/- As it is Cauchy, the sequence `L0` converges, to a limit `f'` in `K`.-/
obtain ⟨f', f'K, hf'⟩ : ∃ f' ∈ K, tendsto L0 at_top (𝓝 f') :=
cauchy_seq_tendsto_of_is_complete hK (λ e, (hn e (n e) (n e) le_rfl le_rfl).1) this,
have Lf' : ∀ e p, n e ≤ p → ‖L e (n e) p - f'‖ ≤ 12 * ‖c‖ * (1/2)^e,
{ assume e p hp,
apply le_of_tendsto (tendsto_const_nhds.sub hf').norm,
rw eventually_at_top,
exact ⟨e, λ e' he', M _ _ _ _ _ _ le_rfl hp le_rfl le_rfl he'⟩ },
/- Let us show that `f` has derivative `f'` at `x`. -/
have : has_fderiv_at f f' x,
{ simp only [has_fderiv_at_iff_is_o_nhds_zero, is_o_iff],
/- to get an approximation with a precision `ε`, we will replace `f` with `L e (n e) m` for
some large enough `e` (yielding a small error by uniform approximation). As one can vary `m`,
this makes it possible to cover all scales, and thus to obtain a good linear approximation in
the whole ball of radius `(1/2)^(n e)`. -/
assume ε εpos,
have pos : 0 < 4 + 12 * ‖c‖ :=
add_pos_of_pos_of_nonneg (by norm_num) (mul_nonneg (by norm_num) (norm_nonneg _)),
obtain ⟨e, he⟩ : ∃ (e : ℕ), (1 / 2) ^ e < ε / (4 + 12 * ‖c‖) :=
exists_pow_lt_of_lt_one (div_pos εpos pos) (by norm_num),
rw eventually_nhds_iff_ball,
refine ⟨(1/2) ^ (n e + 1), P, λ y hy, _⟩,
-- We need to show that `f (x + y) - f x - f' y` is small. For this, we will work at scale
-- `k` where `k` is chosen with `‖y‖ ∼ 2 ^ (-k)`.
by_cases y_pos : y = 0, {simp [y_pos] },
have yzero : 0 < ‖y‖ := norm_pos_iff.mpr y_pos,
have y_lt : ‖y‖ < (1/2) ^ (n e + 1), by simpa using mem_ball_iff_norm.1 hy,
have yone : ‖y‖ ≤ 1 :=
le_trans (y_lt.le) (pow_le_one _ (by norm_num) (by norm_num)),
-- define the scale `k`.
obtain ⟨k, hk, h'k⟩ : ∃ (k : ℕ), (1/2) ^ (k + 1) < ‖y‖ ∧ ‖y‖ ≤ (1/2) ^ k :=
exists_nat_pow_near_of_lt_one yzero yone (by norm_num : (0 : ℝ) < 1/2)
(by norm_num : (1 : ℝ)/2 < 1),
-- the scale is large enough (as `y` is small enough)
have k_gt : n e < k,
{ have : ((1:ℝ)/2) ^ (k + 1) < (1/2) ^ (n e + 1) := lt_trans hk y_lt,
rw pow_lt_pow_iff_of_lt_one (by norm_num : (0 : ℝ) < 1/2) (by norm_num) at this,
linarith },
set m := k - 1 with hl,
have m_ge : n e ≤ m := nat.le_pred_of_lt k_gt,
have km : k = m + 1 := (nat.succ_pred_eq_of_pos (lt_of_le_of_lt (zero_le _) k_gt)).symm,
rw km at hk h'k,
-- `f` is well approximated by `L e (n e) k` at the relevant scale
-- (in fact, we use `m = k - 1` instead of `k` because of the precise definition of `A`).
have J1 : ‖f (x + y) - f x - L e (n e) m ((x + y) - x)‖ ≤ (1/2) ^ e * (1/2) ^ m,
{ apply le_of_mem_A (hn e (n e) m le_rfl m_ge).2.2,
{ simp only [mem_closed_ball, dist_self],
exact div_nonneg (le_of_lt P) (zero_le_two) },
{ simpa only [dist_eq_norm, add_sub_cancel', mem_closed_ball, pow_succ', mul_one_div]
using h'k } },
have J2 : ‖f (x + y) - f x - L e (n e) m y‖ ≤ 4 * (1/2) ^ e * ‖y‖ := calc
‖f (x + y) - f x - L e (n e) m y‖ ≤ (1/2) ^ e * (1/2) ^ m :
by simpa only [add_sub_cancel'] using J1
... = 4 * (1/2) ^ e * (1/2) ^ (m + 2) : by { field_simp, ring_exp }
... ≤ 4 * (1/2) ^ e * ‖y‖ :
mul_le_mul_of_nonneg_left (le_of_lt hk) (mul_nonneg (by norm_num) (le_of_lt P)),
-- use the previous estimates to see that `f (x + y) - f x - f' y` is small.
calc ‖f (x + y) - f x - f' y‖
= ‖(f (x + y) - f x - L e (n e) m y) + (L e (n e) m - f') y‖ :
congr_arg _ (by simp)
... ≤ 4 * (1/2) ^ e * ‖y‖ + 12 * ‖c‖ * (1/2) ^ e * ‖y‖ :
norm_add_le_of_le J2
((le_op_norm _ _).trans (mul_le_mul_of_nonneg_right (Lf' _ _ m_ge) (norm_nonneg _)))
... = (4 + 12 * ‖c‖) * ‖y‖ * (1/2) ^ e : by ring
... ≤ (4 + 12 * ‖c‖) * ‖y‖ * (ε / (4 + 12 * ‖c‖)) :
mul_le_mul_of_nonneg_left he.le
(mul_nonneg (add_nonneg (by norm_num) (mul_nonneg (by norm_num) (norm_nonneg _)))
(norm_nonneg _))
... = ε * ‖y‖ : by { field_simp [ne_of_gt pos], ring } },
rw ← this.fderiv at f'K,
exact ⟨this.differentiable_at, f'K⟩
end
theorem differentiable_set_eq_D (hK : is_complete K) :
{x | differentiable_at 𝕜 f x ∧ fderiv 𝕜 f x ∈ K} = D f K :=
subset.antisymm (differentiable_set_subset_D _) (D_subset_differentiable_set hK)
end fderiv_measurable_aux
open fderiv_measurable_aux
variables [measurable_space E] [opens_measurable_space E]
variables (𝕜 f)
/-- The set of differentiability points of a function, with derivative in a given complete set,
is Borel-measurable. -/
theorem measurable_set_of_differentiable_at_of_is_complete
{K : set (E →L[𝕜] F)} (hK : is_complete K) :
measurable_set {x | differentiable_at 𝕜 f x ∧ fderiv 𝕜 f x ∈ K} :=
by simp [differentiable_set_eq_D K hK, D, is_open_B.measurable_set, measurable_set.Inter,
measurable_set.Union]
variable [complete_space F]
/-- The set of differentiability points of a function taking values in a complete space is
Borel-measurable. -/
theorem measurable_set_of_differentiable_at :
measurable_set {x | differentiable_at 𝕜 f x} :=
begin
have : is_complete (univ : set (E →L[𝕜] F)) := complete_univ,
convert measurable_set_of_differentiable_at_of_is_complete 𝕜 f this,
simp
end
@[measurability] lemma measurable_fderiv : measurable (fderiv 𝕜 f) :=
begin
refine measurable_of_is_closed (λ s hs, _),
have : fderiv 𝕜 f ⁻¹' s = {x | differentiable_at 𝕜 f x ∧ fderiv 𝕜 f x ∈ s} ∪
({x | ¬differentiable_at 𝕜 f x} ∩ {x | (0 : E →L[𝕜] F) ∈ s}) :=
set.ext (λ x, mem_preimage.trans fderiv_mem_iff),
rw this,
exact (measurable_set_of_differentiable_at_of_is_complete _ _ hs.is_complete).union
((measurable_set_of_differentiable_at _ _).compl.inter (measurable_set.const _))
end
@[measurability] lemma measurable_fderiv_apply_const [measurable_space F] [borel_space F] (y : E) :
measurable (λ x, fderiv 𝕜 f x y) :=
(continuous_linear_map.measurable_apply y).comp (measurable_fderiv 𝕜 f)
variable {𝕜}
@[measurability] lemma measurable_deriv [measurable_space 𝕜] [opens_measurable_space 𝕜]
[measurable_space F] [borel_space F] (f : 𝕜 → F) : measurable (deriv f) :=
by simpa only [fderiv_deriv] using measurable_fderiv_apply_const 𝕜 f 1
lemma strongly_measurable_deriv [measurable_space 𝕜] [opens_measurable_space 𝕜]
[second_countable_topology F] (f : 𝕜 → F) :
strongly_measurable (deriv f) :=
by { borelize F, exact (measurable_deriv f).strongly_measurable }
lemma ae_measurable_deriv [measurable_space 𝕜] [opens_measurable_space 𝕜] [measurable_space F]
[borel_space F] (f : 𝕜 → F) (μ : measure 𝕜) : ae_measurable (deriv f) μ :=
(measurable_deriv f).ae_measurable
lemma ae_strongly_measurable_deriv [measurable_space 𝕜] [opens_measurable_space 𝕜]
[second_countable_topology F] (f : 𝕜 → F) (μ : measure 𝕜) :
ae_strongly_measurable (deriv f) μ :=
(strongly_measurable_deriv f).ae_strongly_measurable
end fderiv
section right_deriv
variables {F : Type*} [normed_add_comm_group F] [normed_space ℝ F]
variables {f : ℝ → F} (K : set F)
namespace right_deriv_measurable_aux
/-- The set `A f L r ε` is the set of points `x` around which the function `f` is well approximated
at scale `r` by the linear map `h ↦ h • L`, up to an error `ε`. We tweak the definition to
make sure that this is open on the right. -/
def A (f : ℝ → F) (L : F) (r ε : ℝ) : set ℝ :=
{x | ∃ r' ∈ Ioc (r/2) r, ∀ y z ∈ Icc x (x + r'), ‖f z - f y - (z-y) • L‖ ≤ ε * r}
/-- The set `B f K r s ε` is the set of points `x` around which there exists a vector
`L` belonging to `K` (a given set of vectors) such that `h • L` approximates well `f (x + h)`
(up to an error `ε`), simultaneously at scales `r` and `s`. -/
def B (f : ℝ → F) (K : set F) (r s ε : ℝ) : set ℝ :=
⋃ (L ∈ K), (A f L r ε) ∩ (A f L s ε)
/-- The set `D f K` is a complicated set constructed using countable intersections and unions. Its
main use is that, when `K` is complete, it is exactly the set of points where `f` is differentiable,
with a derivative in `K`. -/
def D (f : ℝ → F) (K : set F) : set ℝ :=
⋂ (e : ℕ), ⋃ (n : ℕ), ⋂ (p ≥ n) (q ≥ n), B f K ((1/2) ^ p) ((1/2) ^ q) ((1/2) ^ e)
lemma A_mem_nhds_within_Ioi {L : F} {r ε x : ℝ} (hx : x ∈ A f L r ε) :
A f L r ε ∈ 𝓝[>] x :=
begin
rcases hx with ⟨r', rr', hr'⟩,
rw mem_nhds_within_Ioi_iff_exists_Ioo_subset,
obtain ⟨s, s_gt, s_lt⟩ : ∃ (s : ℝ), r / 2 < s ∧ s < r' := exists_between rr'.1,
have : s ∈ Ioc (r/2) r := ⟨s_gt, le_of_lt (s_lt.trans_le rr'.2)⟩,
refine ⟨x + r' - s, by { simp only [mem_Ioi], linarith }, λ x' hx', ⟨s, this, _⟩⟩,
have A : Icc x' (x' + s) ⊆ Icc x (x + r'),
{ apply Icc_subset_Icc hx'.1.le,
linarith [hx'.2] },
assume y hy z hz,
exact hr' y (A hy) z (A hz)
end
lemma B_mem_nhds_within_Ioi {K : set F} {r s ε x : ℝ} (hx : x ∈ B f K r s ε) :
B f K r s ε ∈ 𝓝[>] x :=
begin
obtain ⟨L, LK, hL₁, hL₂⟩ : ∃ (L : F), L ∈ K ∧ x ∈ A f L r ε ∧ x ∈ A f L s ε,
by simpa only [B, mem_Union, mem_inter_iff, exists_prop] using hx,
filter_upwards [A_mem_nhds_within_Ioi hL₁, A_mem_nhds_within_Ioi hL₂] with y hy₁ hy₂,
simp only [B, mem_Union, mem_inter_iff, exists_prop],
exact ⟨L, LK, hy₁, hy₂⟩
end
lemma measurable_set_B {K : set F} {r s ε : ℝ} : measurable_set (B f K r s ε) :=
measurable_set_of_mem_nhds_within_Ioi (λ x hx, B_mem_nhds_within_Ioi hx)
lemma A_mono (L : F) (r : ℝ) {ε δ : ℝ} (h : ε ≤ δ) :
A f L r ε ⊆ A f L r δ :=
begin
rintros x ⟨r', r'r, hr'⟩,
refine ⟨r', r'r, λ y hy z hz, (hr' y hy z hz).trans (mul_le_mul_of_nonneg_right h _)⟩,
linarith [hy.1, hy.2, r'r.2],
end
lemma le_of_mem_A {r ε : ℝ} {L : F} {x : ℝ} (hx : x ∈ A f L r ε)
{y z : ℝ} (hy : y ∈ Icc x (x + r/2)) (hz : z ∈ Icc x (x + r/2)) :
‖f z - f y - (z-y) • L‖ ≤ ε * r :=
begin
rcases hx with ⟨r', r'mem, hr'⟩,
have A : x + r / 2 ≤ x + r', by linarith [r'mem.1],
exact hr' _ ((Icc_subset_Icc le_rfl A) hy) _ ((Icc_subset_Icc le_rfl A) hz),
end
lemma mem_A_of_differentiable {ε : ℝ} (hε : 0 < ε) {x : ℝ}
(hx : differentiable_within_at ℝ f (Ici x) x) :
∃ R > 0, ∀ r ∈ Ioo (0 : ℝ) R, x ∈ A f (deriv_within f (Ici x) x) r ε :=
begin
have := hx.has_deriv_within_at,
simp_rw [has_deriv_within_at_iff_is_o, is_o_iff] at this,
rcases mem_nhds_within_Ici_iff_exists_Ico_subset.1 (this (half_pos hε)) with ⟨m, xm, hm⟩,
refine ⟨m - x, by linarith [show x < m, from xm], λ r hr, _⟩,
have : r ∈ Ioc (r/2) r := ⟨half_lt_self hr.1, le_rfl⟩,
refine ⟨r, this, λ y hy z hz, _⟩,
calc ‖f z - f y - (z - y) • deriv_within f (Ici x) x‖
= ‖(f z - f x - (z - x) • deriv_within f (Ici x) x)
- (f y - f x - (y - x) • deriv_within f (Ici x) x)‖ :
by { congr' 1, simp only [sub_smul], abel }
... ≤ ‖f z - f x - (z - x) • deriv_within f (Ici x) x‖
+ ‖f y - f x - (y - x) • deriv_within f (Ici x) x‖ :
norm_sub_le _ _
... ≤ ε / 2 * ‖z - x‖ + ε / 2 * ‖y - x‖ :
add_le_add (hm ⟨hz.1, hz.2.trans_lt (by linarith [hr.2])⟩)
(hm ⟨hy.1, hy.2.trans_lt (by linarith [hr.2])⟩)
... ≤ ε / 2 * r + ε / 2 * r :
begin
apply add_le_add,
{ apply mul_le_mul_of_nonneg_left _ (le_of_lt (half_pos hε)),
rw [real.norm_of_nonneg];
linarith [hz.1, hz.2] },
{ apply mul_le_mul_of_nonneg_left _ (le_of_lt (half_pos hε)),
rw [real.norm_of_nonneg];
linarith [hy.1, hy.2] },
end
... = ε * r : by ring
end
lemma norm_sub_le_of_mem_A
{r x : ℝ} (hr : 0 < r) (ε : ℝ) {L₁ L₂ : F}
(h₁ : x ∈ A f L₁ r ε) (h₂ : x ∈ A f L₂ r ε) : ‖L₁ - L₂‖ ≤ 4 * ε :=
begin
suffices H : ‖(r/2) • (L₁ - L₂)‖ ≤ (r / 2) * (4 * ε),
by rwa [norm_smul, real.norm_of_nonneg (half_pos hr).le, mul_le_mul_left (half_pos hr)] at H,
calc
‖(r/2) • (L₁ - L₂)‖
= ‖(f (x + r/2) - f x - (x + r/2 - x) • L₂) - (f (x + r/2) - f x - (x + r/2 - x) • L₁)‖ :
by simp [smul_sub]
... ≤ ‖f (x + r/2) - f x - (x + r/2 - x) • L₂‖ + ‖f (x + r/2) - f x - (x + r/2 - x) • L₁‖ :
norm_sub_le _ _
... ≤ ε * r + ε * r :
begin
apply add_le_add,
{ apply le_of_mem_A h₂;
simp [(half_pos hr).le] },
{ apply le_of_mem_A h₁;
simp [(half_pos hr).le] },
end
... = (r / 2) * (4 * ε) : by ring
end
/-- Easy inclusion: a differentiability point with derivative in `K` belongs to `D f K`. -/
lemma differentiable_set_subset_D :
{x | differentiable_within_at ℝ f (Ici x) x ∧ deriv_within f (Ici x) x ∈ K} ⊆ D f K :=
begin
assume x hx,
rw [D, mem_Inter],
assume e,
have : (0 : ℝ) < (1/2) ^ e := pow_pos (by norm_num) _,
rcases mem_A_of_differentiable this hx.1 with ⟨R, R_pos, hR⟩,
obtain ⟨n, hn⟩ : ∃ (n : ℕ), (1/2) ^ n < R :=
exists_pow_lt_of_lt_one R_pos (by norm_num : (1 : ℝ)/2 < 1),
simp only [mem_Union, mem_Inter, B, mem_inter_iff],
refine ⟨n, λ p hp q hq, ⟨deriv_within f (Ici x) x, hx.2, ⟨_, _⟩⟩⟩;
{ refine hR _ ⟨pow_pos (by norm_num) _, lt_of_le_of_lt _ hn⟩,
exact pow_le_pow_of_le_one (by norm_num) (by norm_num) (by assumption) }
end
/-- Harder inclusion: at a point in `D f K`, the function `f` has a derivative, in `K`. -/
lemma D_subset_differentiable_set {K : set F} (hK : is_complete K) :
D f K ⊆ {x | differentiable_within_at ℝ f (Ici x) x ∧ deriv_within f (Ici x) x ∈ K} :=
begin
have P : ∀ {n : ℕ}, (0 : ℝ) < (1/2) ^ n := pow_pos (by norm_num),
assume x hx,
have : ∀ (e : ℕ), ∃ (n : ℕ), ∀ p q, n ≤ p → n ≤ q → ∃ L ∈ K,
x ∈ A f L ((1/2) ^ p) ((1/2) ^ e) ∩ A f L ((1/2) ^ q) ((1/2) ^ e),
{ assume e,
have := mem_Inter.1 hx e,
rcases mem_Union.1 this with ⟨n, hn⟩,
refine ⟨n, λ p q hp hq, _⟩,
simp only [mem_Inter, ge_iff_le] at hn,
rcases mem_Union.1 (hn p hp q hq) with ⟨L, hL⟩,
exact ⟨L, mem_Union.1 hL⟩, },
/- Recast the assumptions: for each `e`, there exist `n e` and linear maps `L e p q` in `K`
such that, for `p, q ≥ n e`, then `f` is well approximated by `L e p q` at scale `2 ^ (-p)` and
`2 ^ (-q)`, with an error `2 ^ (-e)`. -/
choose! n L hn using this,
/- All the operators `L e p q` that show up are close to each other. To prove this, we argue
that `L e p q` is close to `L e p r` (where `r` is large enough), as both approximate `f` at
scale `2 ^(- p)`. And `L e p r` is close to `L e' p' r` as both approximate `f` at scale
`2 ^ (- r)`. And `L e' p' r` is close to `L e' p' q'` as both approximate `f` at scale
`2 ^ (- p')`. -/
have M : ∀ e p q e' p' q', n e ≤ p → n e ≤ q → n e' ≤ p' → n e' ≤ q' → e ≤ e' →
‖L e p q - L e' p' q'‖ ≤ 12 * (1/2) ^ e,
{ assume e p q e' p' q' hp hq hp' hq' he',
let r := max (n e) (n e'),
have I : ((1:ℝ)/2)^e' ≤ (1/2)^e := pow_le_pow_of_le_one (by norm_num) (by norm_num) he',
have J1 : ‖L e p q - L e p r‖ ≤ 4 * (1/2)^e,
{ have I1 : x ∈ A f (L e p q) ((1 / 2) ^ p) ((1/2)^e) :=
(hn e p q hp hq).2.1,
have I2 : x ∈ A f (L e p r) ((1 / 2) ^ p) ((1/2)^e) :=
(hn e p r hp (le_max_left _ _)).2.1,
exact norm_sub_le_of_mem_A P _ I1 I2 },
have J2 : ‖L e p r - L e' p' r‖ ≤ 4 * (1/2)^e,
{ have I1 : x ∈ A f (L e p r) ((1 / 2) ^ r) ((1/2)^e) :=
(hn e p r hp (le_max_left _ _)).2.2,
have I2 : x ∈ A f (L e' p' r) ((1 / 2) ^ r) ((1/2)^e') :=
(hn e' p' r hp' (le_max_right _ _)).2.2,
exact norm_sub_le_of_mem_A P _ I1 (A_mono _ _ I I2) },
have J3 : ‖L e' p' r - L e' p' q'‖ ≤ 4 * (1/2)^e,
{ have I1 : x ∈ A f (L e' p' r) ((1 / 2) ^ p') ((1/2)^e') :=
(hn e' p' r hp' (le_max_right _ _)).2.1,
have I2 : x ∈ A f (L e' p' q') ((1 / 2) ^ p') ((1/2)^e') :=
(hn e' p' q' hp' hq').2.1,
exact norm_sub_le_of_mem_A P _ (A_mono _ _ I I1) (A_mono _ _ I I2) },
calc ‖L e p q - L e' p' q'‖
= ‖(L e p q - L e p r) + (L e p r - L e' p' r) + (L e' p' r - L e' p' q')‖ :
by { congr' 1, abel }
... ≤ ‖L e p q - L e p r‖ + ‖L e p r - L e' p' r‖ + ‖L e' p' r - L e' p' q'‖ :
le_trans (norm_add_le _ _) (add_le_add_right (norm_add_le _ _) _)
... ≤ 4 * (1/2)^e + 4 * (1/2)^e + 4 * (1/2)^e :
by apply_rules [add_le_add]
... = 12 * (1/2)^e : by ring },
/- For definiteness, use `L0 e = L e (n e) (n e)`, to have a single sequence. We claim that this
is a Cauchy sequence. -/
let L0 : ℕ → F := λ e, L e (n e) (n e),
have : cauchy_seq L0,
{ rw metric.cauchy_seq_iff',
assume ε εpos,
obtain ⟨e, he⟩ : ∃ (e : ℕ), (1/2) ^ e < ε / 12 :=
exists_pow_lt_of_lt_one (div_pos εpos (by norm_num)) (by norm_num),
refine ⟨e, λ e' he', _⟩,
rw [dist_comm, dist_eq_norm],
calc ‖L0 e - L0 e'‖
≤ 12 * (1/2)^e : M _ _ _ _ _ _ le_rfl le_rfl le_rfl le_rfl he'
... < 12 * (ε / 12) :
mul_lt_mul' le_rfl he (le_of_lt P) (by norm_num)
... = ε : by { field_simp [(by norm_num : (12 : ℝ) ≠ 0)], ring } },
/- As it is Cauchy, the sequence `L0` converges, to a limit `f'` in `K`.-/
obtain ⟨f', f'K, hf'⟩ : ∃ f' ∈ K, tendsto L0 at_top (𝓝 f') :=
cauchy_seq_tendsto_of_is_complete hK (λ e, (hn e (n e) (n e) le_rfl le_rfl).1) this,
have Lf' : ∀ e p, n e ≤ p → ‖L e (n e) p - f'‖ ≤ 12 * (1/2)^e,
{ assume e p hp,
apply le_of_tendsto (tendsto_const_nhds.sub hf').norm,
rw eventually_at_top,
exact ⟨e, λ e' he', M _ _ _ _ _ _ le_rfl hp le_rfl le_rfl he'⟩ },
/- Let us show that `f` has right derivative `f'` at `x`. -/
have : has_deriv_within_at f f' (Ici x) x,
{ simp only [has_deriv_within_at_iff_is_o, is_o_iff],
/- to get an approximation with a precision `ε`, we will replace `f` with `L e (n e) m` for
some large enough `e` (yielding a small error by uniform approximation). As one can vary `m`,
this makes it possible to cover all scales, and thus to obtain a good linear approximation in
the whole interval of length `(1/2)^(n e)`. -/
assume ε εpos,
obtain ⟨e, he⟩ : ∃ (e : ℕ), (1 / 2) ^ e < ε / 16 :=
exists_pow_lt_of_lt_one (div_pos εpos (by norm_num)) (by norm_num),
have xmem : x ∈ Ico x (x + (1/2)^(n e + 1)),
by simp only [one_div, left_mem_Ico, lt_add_iff_pos_right, inv_pos, pow_pos, zero_lt_bit0,
zero_lt_one],
filter_upwards [Icc_mem_nhds_within_Ici xmem] with y hy,
-- We need to show that `f y - f x - f' (y - x)` is small. For this, we will work at scale
-- `k` where `k` is chosen with `‖y - x‖ ∼ 2 ^ (-k)`.
rcases eq_or_lt_of_le hy.1 with rfl|xy,
{ simp only [sub_self, zero_smul, norm_zero, mul_zero]},
have yzero : 0 < y - x := sub_pos.2 xy,
have y_le : y - x ≤ (1/2) ^ (n e + 1), by linarith [hy.2],
have yone : y - x ≤ 1 := le_trans y_le (pow_le_one _ (by norm_num) (by norm_num)),
-- define the scale `k`.
obtain ⟨k, hk, h'k⟩ : ∃ (k : ℕ), (1/2) ^ (k + 1) < y - x ∧ y - x ≤ (1/2) ^ k :=
exists_nat_pow_near_of_lt_one yzero yone (by norm_num : (0 : ℝ) < 1/2)
(by norm_num : (1 : ℝ)/2 < 1),
-- the scale is large enough (as `y - x` is small enough)
have k_gt : n e < k,
{ have : ((1:ℝ)/2) ^ (k + 1) < (1/2) ^ (n e + 1) := lt_of_lt_of_le hk y_le,
rw pow_lt_pow_iff_of_lt_one (by norm_num : (0 : ℝ) < 1/2) (by norm_num) at this,
linarith },
set m := k - 1 with hl,
have m_ge : n e ≤ m := nat.le_pred_of_lt k_gt,
have km : k = m + 1 := (nat.succ_pred_eq_of_pos (lt_of_le_of_lt (zero_le _) k_gt)).symm,
rw km at hk h'k,
-- `f` is well approximated by `L e (n e) k` at the relevant scale
-- (in fact, we use `m = k - 1` instead of `k` because of the precise definition of `A`).
have J : ‖f y - f x - (y - x) • L e (n e) m‖ ≤ 4 * (1/2) ^ e * ‖y - x‖ := calc
‖f y - f x - (y - x) • L e (n e) m‖ ≤ (1/2) ^ e * (1/2) ^ m :
begin
apply le_of_mem_A (hn e (n e) m le_rfl m_ge).2.2,
{ simp only [one_div, inv_pow, left_mem_Icc, le_add_iff_nonneg_right],
exact div_nonneg (inv_nonneg.2 (pow_nonneg zero_le_two _)) zero_le_two },
{ simp only [pow_add, tsub_le_iff_left] at h'k,
simpa only [hy.1, mem_Icc, true_and, one_div, pow_one] using h'k }
end
... = 4 * (1/2) ^ e * (1/2) ^ (m + 2) : by { field_simp, ring_exp }
... ≤ 4 * (1/2) ^ e * (y - x) :
mul_le_mul_of_nonneg_left (le_of_lt hk) (mul_nonneg (by norm_num) (le_of_lt P))
... = 4 * (1/2) ^ e * ‖y - x‖ : by rw [real.norm_of_nonneg yzero.le],
calc ‖f y - f x - (y - x) • f'‖
= ‖(f y - f x - (y - x) • L e (n e) m) + (y - x) • (L e (n e) m - f')‖ :
by simp only [smul_sub, sub_add_sub_cancel]
... ≤ 4 * (1/2) ^ e * ‖y - x‖ + ‖y - x‖ * (12 * (1/2) ^ e) : norm_add_le_of_le J
(by { rw [norm_smul], exact mul_le_mul_of_nonneg_left (Lf' _ _ m_ge) (norm_nonneg _) })
... = 16 * ‖y - x‖ * (1/2) ^ e : by ring
... ≤ 16 * ‖y - x‖ * (ε / 16) :
mul_le_mul_of_nonneg_left he.le (mul_nonneg (by norm_num) (norm_nonneg _))
... = ε * ‖y - x‖ : by ring },
rw ← this.deriv_within (unique_diff_on_Ici x x le_rfl) at f'K,
exact ⟨this.differentiable_within_at, f'K⟩,
end
theorem differentiable_set_eq_D (hK : is_complete K) :
{x | differentiable_within_at ℝ f (Ici x) x ∧ deriv_within f (Ici x) x ∈ K} = D f K :=
subset.antisymm (differentiable_set_subset_D _) (D_subset_differentiable_set hK)
end right_deriv_measurable_aux
open right_deriv_measurable_aux
variables (f)
/-- The set of right differentiability points of a function, with derivative in a given complete
set, is Borel-measurable. -/
theorem measurable_set_of_differentiable_within_at_Ici_of_is_complete
{K : set F} (hK : is_complete K) :
measurable_set {x | differentiable_within_at ℝ f (Ici x) x ∧ deriv_within f (Ici x) x ∈ K} :=
by simp [differentiable_set_eq_D K hK, D, measurable_set_B, measurable_set.Inter,
measurable_set.Union]
variable [complete_space F]
/-- The set of right differentiability points of a function taking values in a complete space is
Borel-measurable. -/
theorem measurable_set_of_differentiable_within_at_Ici :
measurable_set {x | differentiable_within_at ℝ f (Ici x) x} :=
begin
have : is_complete (univ : set F) := complete_univ,
convert measurable_set_of_differentiable_within_at_Ici_of_is_complete f this,
simp
end
@[measurability] lemma measurable_deriv_within_Ici [measurable_space F] [borel_space F] :
measurable (λ x, deriv_within f (Ici x) x) :=
begin
refine measurable_of_is_closed (λ s hs, _),
have : (λ x, deriv_within f (Ici x) x) ⁻¹' s =
{x | differentiable_within_at ℝ f (Ici x) x ∧ deriv_within f (Ici x) x ∈ s} ∪
({x | ¬differentiable_within_at ℝ f (Ici x) x} ∩ {x | (0 : F) ∈ s}) :=
set.ext (λ x, mem_preimage.trans deriv_within_mem_iff),
rw this,
exact (measurable_set_of_differentiable_within_at_Ici_of_is_complete _ hs.is_complete).union
((measurable_set_of_differentiable_within_at_Ici _).compl.inter (measurable_set.const _))
end
lemma strongly_measurable_deriv_within_Ici [second_countable_topology F] :
strongly_measurable (λ x, deriv_within f (Ici x) x) :=
by { borelize F, exact (measurable_deriv_within_Ici f).strongly_measurable }
lemma ae_measurable_deriv_within_Ici [measurable_space F] [borel_space F]
(μ : measure ℝ) : ae_measurable (λ x, deriv_within f (Ici x) x) μ :=
(measurable_deriv_within_Ici f).ae_measurable
lemma ae_strongly_measurable_deriv_within_Ici [second_countable_topology F] (μ : measure ℝ) :
ae_strongly_measurable (λ x, deriv_within f (Ici x) x) μ :=
(strongly_measurable_deriv_within_Ici f).ae_strongly_measurable
/-- The set of right differentiability points of a function taking values in a complete space is
Borel-measurable. -/
theorem measurable_set_of_differentiable_within_at_Ioi :
measurable_set {x | differentiable_within_at ℝ f (Ioi x) x} :=
by simpa [differentiable_within_at_Ioi_iff_Ici]
using measurable_set_of_differentiable_within_at_Ici f
@[measurability] lemma measurable_deriv_within_Ioi [measurable_space F] [borel_space F] :
measurable (λ x, deriv_within f (Ioi x) x) :=
by simpa [deriv_within_Ioi_eq_Ici] using measurable_deriv_within_Ici f
lemma strongly_measurable_deriv_within_Ioi [second_countable_topology F] :
strongly_measurable (λ x, deriv_within f (Ioi x) x) :=
by { borelize F, exact (measurable_deriv_within_Ioi f).strongly_measurable }
lemma ae_measurable_deriv_within_Ioi [measurable_space F] [borel_space F]
(μ : measure ℝ) : ae_measurable (λ x, deriv_within f (Ioi x) x) μ :=
(measurable_deriv_within_Ioi f).ae_measurable
lemma ae_strongly_measurable_deriv_within_Ioi [second_countable_topology F] (μ : measure ℝ) :
ae_strongly_measurable (λ x, deriv_within f (Ioi x) x) μ :=
(strongly_measurable_deriv_within_Ioi f).ae_strongly_measurable
end right_deriv
|
19b3fece267ebbeae2c1c6cdbbdd8f64964c22d0 | 22e97a5d648fc451e25a06c668dc03ac7ed7bc25 | /src/order/filter/filter_product.lean | 11cb4a0019a2f86293cc801c3f44d3d8c9f46a71 | [
"Apache-2.0"
] | permissive | keeferrowan/mathlib | f2818da875dbc7780830d09bd4c526b0764a4e50 | aad2dfc40e8e6a7e258287a7c1580318e865817e | refs/heads/master | 1,661,736,426,952 | 1,590,438,032,000 | 1,590,438,032,000 | 266,892,663 | 0 | 0 | Apache-2.0 | 1,590,445,835,000 | 1,590,445,835,000 | null | UTF-8 | Lean | false | false | 22,486 | lean | /-
Copyright (c) 2019 Abhimanyu Pallavi Sudhir. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Abhimanyu Pallavi Sudhir
"Filterproducts" (ultraproducts on general filters), ultraproducts.
-/
import order.filter.basic
import algebra.pi_instances
universes u v
variables {α : Type u} (β : Type v) (φ : filter α)
open_locale classical
namespace filter
local notation `∀*` binders `, ` r:(scoped p, filter.eventually p φ) := r
/-- Two sequences are bigly equal iff the kernel of their difference is in φ -/
def bigly_equal : setoid (α → β) :=
⟨ λ a b, ∀* n, a n = b n,
λ a, by simp,
λ a b ab, by simpa only [eq_comm],
λ a b c ab bc, sets_of_superset φ (inter_sets φ ab bc) (λ n r, eq.trans r.1 r.2)⟩
/-- Ultraproduct, but on a general filter -/
def filterprod := quotient (bigly_equal β φ)
local notation `β*` := filterprod β φ
namespace filter_product
variables {α β φ} include φ
/-- Equivalence class containing the given sequence -/
def of_seq : (α → β) → β* := @quotient.mk' (α → β) (bigly_equal β φ)
/-- Equivalence class containing the constant sequence of a term in β -/
def of (b : β) : β* := of_seq (function.const α b)
/-- Lift function to filter product -/
def lift (f : β → β) : β* → β* :=
λ x, quotient.lift_on' x (λ a, (of_seq $ λ n, f (a n) : β*)) $
λ a b h, quotient.sound' $ show _ ∈ _, by filter_upwards [h] λ i hi, congr_arg _ hi
/-- Lift binary operation to filter product -/
def lift₂ (f : β → β → β) : β* → β* → β* :=
λ x y, quotient.lift_on₂' x y (λ a b, (of_seq $ λ n, f (a n) (b n) : β*)) $
λ a₁ a₂ b₁ b₂ h1 h2, quotient.sound' $ show _ ∈ _,
by filter_upwards [h1, h2] λ i hi1 hi2, congr (congr_arg _ hi1) hi2
/-- Lift properties to filter product -/
def lift_rel (R : β → Prop) : β* → Prop :=
λ x, quotient.lift_on' x (λ a, ∀* i, R (a i)) $ λ a b h, propext
⟨ λ ha, by filter_upwards [h, ha] λ i hi hia, by simpa [hi.symm],
λ hb, by filter_upwards [h, hb] λ i hi hib, by simpa [hi.symm.symm] ⟩
/-- Lift binary relations to filter product -/
def lift_rel₂ (R : β → β → Prop) : β* → β* → Prop :=
λ x y, quotient.lift_on₂' x y (λ a b, ∀* i, R (a i) (b i)) $
λ a₁ a₂ b₁ b₂ h₁ h₂, propext
⟨ λ ha, by filter_upwards [h₁, h₂, ha] λ i hi1 hi2 hia, by simpa [hi1.symm, hi2.symm],
λ hb, by filter_upwards [h₁, h₂, hb] λ i hi1 hi2 hib, by simpa [hi1.symm.symm, hi2.symm.symm] ⟩
instance coe_filterprod : has_coe_t β β* := ⟨ of ⟩ -- note [use has_coe_t]
instance [inhabited β] : inhabited β* := ⟨of (default _)⟩
instance [has_add β] : has_add β* := { add := lift₂ has_add.add }
instance [has_zero β] : has_zero β* := { zero := of 0 }
instance [has_neg β] : has_neg β* := { neg := lift has_neg.neg }
instance [add_semigroup β] : add_semigroup β* :=
{ add_assoc := λ x y z, quotient.induction_on₃' x y z $ λ a b c, quotient.sound' $
show ∀* _, _ + _ + _ = _ + (_ + _), by simp only [add_assoc, eq_self_iff_true];
exact φ.univ_sets,
..filter_product.has_add }
instance [add_left_cancel_semigroup β] : add_left_cancel_semigroup β* :=
{ add_left_cancel := λ x y z, quotient.induction_on₃' x y z $ λ a b c h,
have h' : _ := quotient.exact' h, quotient.sound' $
by filter_upwards [h'] λ i, add_left_cancel,
..filter_product.add_semigroup }
instance [add_right_cancel_semigroup β] : add_right_cancel_semigroup β* :=
{ add_right_cancel := λ x y z, quotient.induction_on₃' x y z $ λ a b c h,
have h' : _ := quotient.exact' h, quotient.sound' $
by filter_upwards [h'] λ i, add_right_cancel,
..filter_product.add_semigroup }
instance [add_monoid β] : add_monoid β* :=
{ zero_add := λ x, quotient.induction_on' x
(λ a, quotient.sound'(by simp only [zero_add]; apply setoid.iseqv.1)),
add_zero := λ x, quotient.induction_on' x
(λ a, quotient.sound'(by simp only [add_zero]; apply setoid.iseqv.1)),
..filter_product.add_semigroup,
..filter_product.has_zero }
instance [add_comm_semigroup β] : add_comm_semigroup β* :=
{ add_comm := λ x y, quotient.induction_on₂' x y
(λ a b, quotient.sound' (by simp only [add_comm]; apply setoid.iseqv.1)),
..filter_product.add_semigroup }
instance [add_comm_monoid β] : add_comm_monoid β* :=
{ ..filter_product.add_comm_semigroup,
..filter_product.add_monoid }
instance [add_group β] : add_group β* :=
{ add_left_neg := λ x, quotient.induction_on' x
(λ a, quotient.sound' (by simp only [add_left_neg]; apply setoid.iseqv.1)),
..filter_product.add_monoid,
..filter_product.has_neg }
instance [add_comm_group β] : add_comm_group β* :=
{ ..filter_product.add_comm_monoid,
..filter_product.add_group }
instance [has_mul β] : has_mul β* := { mul := lift₂ has_mul.mul }
instance [has_one β] : has_one β* := { one := of 1 }
instance [has_inv β] : has_inv β* := { inv := lift has_inv.inv }
instance [semigroup β] : semigroup β* :=
{ mul_assoc := λ x y z, quotient.induction_on₃' x y z $ λ a b c, quotient.sound' $
show ∀* _, _ * _ * _ = _ * (_ * _), by simp only [mul_assoc, eq_self_iff_true];
exact φ.univ_sets,
..filter_product.has_mul }
instance [monoid β] : monoid β* :=
{ one_mul := λ x, quotient.induction_on' x
(λ a, quotient.sound' (by simp only [one_mul]; apply setoid.iseqv.1)),
mul_one := λ x, quotient.induction_on' x
(λ a, quotient.sound' (by simp only [mul_one]; apply setoid.iseqv.1)),
..filter_product.semigroup,
..filter_product.has_one }
instance [comm_semigroup β] : comm_semigroup β* :=
{ mul_comm := λ x y, quotient.induction_on₂' x y
(λ a b, quotient.sound' (by simp only [mul_comm]; apply setoid.iseqv.1)),
..filter_product.semigroup }
instance [comm_monoid β] : comm_monoid β* :=
{ ..filter_product.comm_semigroup,
..filter_product.monoid }
instance [group β] : group β* :=
{ mul_left_inv := λ x, quotient.induction_on' x
(λ a, quotient.sound' (by simp only [mul_left_inv]; apply setoid.iseqv.1)),
..filter_product.monoid,
..filter_product.has_inv }
instance [comm_group β] : comm_group β* :=
{ ..filter_product.comm_monoid,
..filter_product.group }
instance [distrib β] : distrib β* :=
{ left_distrib := λ x y z, quotient.induction_on₃' x y z
(λ x y z, quotient.sound' (by simp only [left_distrib]; apply setoid.iseqv.1)),
right_distrib := λ x y z, quotient.induction_on₃' x y z
(λ x y z, quotient.sound' (by simp only [right_distrib]; apply setoid.iseqv.1)),
..filter_product.has_add,
..filter_product.has_mul }
instance [mul_zero_class β] : mul_zero_class β* :=
{ zero_mul := λ x, quotient.induction_on' x
(λ a, quotient.sound' (by simp only [zero_mul]; apply setoid.iseqv.1)),
mul_zero := λ x, quotient.induction_on' x
(λ a, quotient.sound' (by simp only [mul_zero]; apply setoid.iseqv.1)),
..filter_product.has_mul,
..filter_product.has_zero }
instance [semiring β] : semiring β* :=
{ ..filter_product.add_comm_monoid,
..filter_product.monoid,
..filter_product.distrib,
..filter_product.mul_zero_class }
instance [ring β] : ring β* :=
{ ..filter_product.add_comm_group,
..filter_product.monoid,
..filter_product.distrib }
instance [comm_semiring β] : comm_semiring β* :=
{ ..filter_product.semiring,
..filter_product.comm_monoid }
instance [comm_ring β] : comm_ring β* :=
{ ..filter_product.ring,
..filter_product.comm_semigroup }
/-- If `φ ≠ ⊥` then `0 ≠ 1` in the ultraproduct.
This cannot be an instance, since it depends on `φ ≠ ⊥`. -/
protected def zero_ne_one_class [zero_ne_one_class β] (NT : φ ≠ ⊥) : zero_ne_one_class β* :=
{ zero_ne_one := λ c, have c' : _ := quotient.exact' c, by
{ change _ ∈ _ at c',
simp only [set.set_of_false, zero_ne_one, empty_in_sets_eq_bot] at c',
exact NT c' },
..filter_product.has_zero,
..filter_product.has_one }
/-- If `φ` is an ultrafilter then the ultraproduct is a division ring.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def division_ring [division_ring β] (U : is_ultrafilter φ) : division_ring β* :=
{ mul_inv_cancel := λ x, quotient.induction_on' x $ λ a hx, quotient.sound' $
have hx1 : _ := (not_imp_not.mpr quotient.eq'.mpr) hx,
have hx2 : _ := (ultrafilter_iff_compl_mem_iff_not_mem.mp U _).mpr hx1,
have h : {n : α | ¬a n = 0} ⊆ {n : α | a n * (a n)⁻¹ = 1} :=
by rw [set.set_of_subset_set_of]; exact λ n, division_ring.mul_inv_cancel,
mem_sets_of_superset hx2 h,
inv_mul_cancel := λ x, quotient.induction_on' x $ λ a hx, quotient.sound' $
have hx1 : _ := (not_imp_not.mpr quotient.eq'.mpr) hx,
have hx2 : _ := (ultrafilter_iff_compl_mem_iff_not_mem.mp U _).mpr hx1,
have h : {n : α | ¬a n = 0} ⊆ {n : α | (a n)⁻¹ * a n = 1} :=
by rw [set.set_of_subset_set_of]; exact λ n, division_ring.inv_mul_cancel,
mem_sets_of_superset hx2 h,
inv_zero := quotient.sound' $ by show _ ∈ _;
simp only [inv_zero, eq_self_iff_true, (set.univ_def).symm, univ_sets],
..filter_product.ring,
..filter_product.has_inv,
..filter_product.zero_ne_one_class U.1 }
/-- If `φ` is an ultrafilter then the ultraproduct is a field.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def field [field β] (U : is_ultrafilter φ) : field β* :=
{ ..filter_product.comm_ring,
..filter_product.division_ring U }
instance [has_le β] : has_le β* := { le := lift_rel₂ has_le.le }
instance [preorder β] : preorder β* :=
{ le_refl := λ x, quotient.induction_on' x $ λ a, show _ ∈ _,
by simp only [le_refl, (set.univ_def).symm, univ_sets],
le_trans := λ x y z, quotient.induction_on₃' x y z $ λ a b c hab hbc,
by filter_upwards [hab, hbc] λ i, le_trans,
..filter_product.has_le}
instance [partial_order β] : partial_order β* :=
{ le_antisymm := λ x y, quotient.induction_on₂' x y $ λ a b hab hba, quotient.sound' $
have hI : {n | a n = b n} = _ ∩ _ := set.ext (λ n, le_antisymm_iff),
show _ ∈ _, by rw hI; exact inter_sets _ hab hba
..filter_product.preorder }
/-- If `φ` is an ultrafilter then the ultraproduct is a linear order.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def linear_order [linear_order β] (U : is_ultrafilter φ) : linear_order β* :=
{ le_total := λ x y, quotient.induction_on₂' x y $ λ a b,
have hS : _ ⊆ {i | b i ≤ a i} := λ i, le_of_not_le,
or.cases_on (mem_or_compl_mem_of_ultrafilter U {i | a i ≤ b i})
(λ h, or.inl h)
(λ h, or.inr (sets_of_superset _ h hS))
..filter_product.partial_order }
theorem of_inj (NT : φ ≠ ⊥) : function.injective (@of _ β φ) :=
begin
intros r s rs, by_contra N,
rw [of, of, of_seq, quotient.eq', bigly_equal] at rs,
simp only [N, eventually_false_iff_eq_bot] at rs,
exact NT rs
end
theorem of_seq_fun (f g : α → β) (h : β → β) (H : ∀* n, f n = h (g n)) :
of_seq f = (lift h) (@of_seq _ _ φ g) := quotient.sound' H
theorem of_seq_fun₂ (f g₁ g₂ : α → β) (h : β → β → β) (H : ∀* n, f n = h (g₁ n) (g₂ n)) :
of_seq f = (lift₂ h) (@of_seq _ _ φ g₁) (@of_seq _ _ φ g₂) := quotient.sound' H
@[simp] lemma of_seq_zero [has_zero β] : of_seq 0 = (0 : β*) := rfl
@[simp] lemma of_seq_add [has_add β] (f g : α → β) :
of_seq (f + g) = of_seq f + (of_seq g : β*) := rfl
@[simp] lemma of_seq_neg [has_neg β] (f : α → β) : of_seq (-f) = - (of_seq f : β*) := rfl
@[simp] lemma of_seq_one [has_one β] : of_seq 1 = (1 : β*) := rfl
@[simp] lemma of_seq_mul [has_mul β] (f g : α → β) :
of_seq (f * g) = of_seq f * (of_seq g : β*) := rfl
@[simp] lemma of_seq_inv [has_inv β] (f : α → β) : of_seq (f⁻¹) = (of_seq f : β*)⁻¹ := rfl
@[simp] lemma of_eq_coe (x : β) : of x = (x : β*) := rfl
@[simp] lemma coe_injective (x y : β) (NT : φ ≠ ⊥) : (x : β*) = y ↔ x = y :=
⟨λ h, of_inj NT h, λ h, by rw h⟩
lemma of_eq (x y : β) (NT : φ ≠ ⊥) : x = y ↔ of x = (of y : β*) :=
by simp [NT]
lemma of_ne (x y : β) (NT : φ ≠ ⊥) : x ≠ y ↔ of x ≠ (of y : β*) :=
by show ¬ x = y ↔ of x ≠ of y; rwa [of_eq]
lemma of_eq_zero [has_zero β] (NT : φ ≠ ⊥) (x : β) : x = 0 ↔ (x : β*) = (0 : β*) := of_eq _ _ NT
lemma of_ne_zero [has_zero β] (NT : φ ≠ ⊥) (x : β) : x ≠ 0 ↔ (x : β*) ≠ (0 : β*) := of_ne _ _ NT
@[simp, norm_cast] lemma of_zero [has_zero β] : ((0 : β) : β*) = 0 := rfl
@[simp, norm_cast] lemma of_add [has_add β] (x y : β) : ((x + y : β) : β*) = x + y := rfl
@[simp, norm_cast] lemma of_bit0 [has_add β] (x : β) : ((bit0 x : β) : β*) = bit0 x := rfl
@[simp, norm_cast] lemma of_bit1 [has_add β] [has_one β] (x : β) :
((bit1 x : β) : β*) = bit1 x := rfl
@[simp, norm_cast] lemma of_neg [has_neg β] (x : β) : ((- x : β) : β*) = - x := rfl
@[simp, norm_cast] lemma of_sub [add_group β] (x y : β) : ((x - y : β) : β*) = x - y := rfl
@[simp, norm_cast] lemma of_one [has_one β] : ((1 : β) : β*) = 1 := rfl
@[simp, norm_cast] lemma of_mul [has_mul β] (x y : β) : ((x * y : β) : β*) = x * y := rfl
@[simp, norm_cast] lemma of_inv [has_inv β] (x : β) : ((x⁻¹ : β) : β*) = x⁻¹ := rfl
@[simp, norm_cast] lemma of_div [division_ring β] (U : is_ultrafilter φ) (x y : β) :
((x / y : β) : β*) = @has_div.div _
(@division_ring_has_div _ (filter_product.division_ring U))
(x : β*) (y : β*) :=
rfl
lemma of_rel_of_rel {R : β → Prop} {x : β} :
R x → (lift_rel R) (of x : β*) :=
λ hx, show ∀* i, R x, by simp [hx]
lemma of_rel {R : β → Prop} {x : β} (NT: φ ≠ ⊥) :
R x ↔ (lift_rel R) (of x : β*) :=
⟨ of_rel_of_rel,
begin
intro hxy,
change ∀* i, R x at hxy,
by_contra h,
simp only [h, eventually_false_iff_eq_bot] at hxy,
exact NT hxy
end⟩
lemma of_rel_of_rel₂ {R : β → β → Prop} {x y : β} :
R x y → (lift_rel₂ R) (of x) (of y : β*) :=
λ hxy, show ∀* i, R x y, by simp [hxy]
lemma of_rel₂ {R : β → β → Prop} {x y : β} (NT: φ ≠ ⊥) :
R x y ↔ (lift_rel₂ R) (of x) (of y : β*) :=
⟨ of_rel_of_rel₂,
λ hxy, by change ∀* i, R x y at hxy; by_contra h;
simp only [h, eventually_false_iff_eq_bot] at hxy;
exact NT hxy ⟩
lemma of_le_of_le [has_le β] {x y : β} : x ≤ y → of x ≤ (of y : β*) := of_rel_of_rel₂
lemma of_le [has_le β] {x y : β} (NT: φ ≠ ⊥) : x ≤ y ↔ of x ≤ (of y : β*) := of_rel₂ NT
lemma lt_def [K : preorder β] (U : is_ultrafilter φ) {x y : β*} :
(x < y) ↔ lift_rel₂ (<) x y :=
⟨ quotient.induction_on₂' x y $ λ a b ⟨hxy, hyx⟩,
have hyx' : _ := (ultrafilter_iff_compl_mem_iff_not_mem.mp U _).mpr hyx,
by filter_upwards [hxy, hyx'] λ i hi1 hi2, lt_iff_le_not_le.mpr ⟨hi1, hi2⟩,
quotient.induction_on₂' x y $ λ a b hab,
⟨ by filter_upwards [hab] λ i, le_of_lt, λ hba,
have hc : ∀ i : α, a i < b i ∧ b i ≤ a i → false := λ i ⟨h1, h2⟩, not_lt_of_le h2 h1,
have h0 : ∅ = {i : α | a i < b i} ∩ {i : α | b i ≤ a i} :=
by simp only [set.inter_def, hc, set.set_of_false, eq_self_iff_true, set.mem_set_of_eq],
U.1 $ empty_in_sets_eq_bot.mp $ by rw [h0]; exact inter_sets _ hab hba ⟩ ⟩
lemma lt_def' [K : preorder β] (U : is_ultrafilter φ) :
((<) : β* → β* → Prop) = lift_rel₂ (<) :=
by ext x y; exact lt_def U
lemma of_lt_of_lt [preorder β] (U : is_ultrafilter φ) {x y : β} :
x < y → of x < (of y : β*) :=
by rw lt_def U; apply of_rel_of_rel₂
lemma of_lt [preorder β] {x y : β} (U : is_ultrafilter φ) : x < y ↔ of x < (of y : β*) :=
by rw lt_def U; exact of_rel₂ U.1
lemma lift_id : lift id = (id : β* → β*) :=
funext $ λ x, quotient.induction_on' x $ by apply λ a, quotient.sound (setoid.refl _)
/-- If `φ` is an ultrafilter then the ultraproduct is an ordered commutative group.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def ordered_add_comm_group [ordered_add_comm_group β] : ordered_add_comm_group β* :=
{ add_le_add_left := λ x y hxy z, by revert hxy; exact quotient.induction_on₃' x y z
(λ a b c hab, by filter_upwards [hab] λ i hi, by simpa),
..filter_product.partial_order, ..filter_product.add_comm_group }
/-- If `φ` is an ultrafilter then the ultraproduct is an ordered ring.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def ordered_ring [ordered_ring β] (U : is_ultrafilter φ) : ordered_ring β* :=
{ mul_pos := λ x y, quotient.induction_on₂' x y $
λ a b ha hb, by rw lt_def U at ha hb ⊢; filter_upwards [ha, hb] λ i, @mul_pos β _ _ _,
..filter_product.ring, ..filter_product.ordered_add_comm_group,
..filter_product.zero_ne_one_class U.1 }
/-- If `φ` is an ultrafilter then the ultraproduct is a linear ordered ring.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def linear_ordered_ring [linear_ordered_ring β] (U : is_ultrafilter φ) :
linear_ordered_ring β* :=
{ zero_lt_one := by rw lt_def U; show (∀* i, (0 : β) < 1); simp [zero_lt_one],
..filter_product.ordered_ring U, ..filter_product.linear_order U }
/-- If `φ` is an ultrafilter then the ultraproduct is a linear ordered field.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def linear_ordered_field [linear_ordered_field β] (U : is_ultrafilter φ) :
linear_ordered_field β* :=
{ ..filter_product.linear_ordered_ring U, ..filter_product.field U }
/-- If `φ` is an ultrafilter then the ultraproduct is a linear ordered commutative ring.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected def linear_ordered_comm_ring [linear_ordered_comm_ring β] (U : is_ultrafilter φ) :
linear_ordered_comm_ring β* :=
{ ..filter_product.linear_ordered_ring U, ..filter_product.comm_monoid }
/-- If `φ` is an ultrafilter then the ultraproduct is a decidable linear order.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected noncomputable def decidable_linear_order [decidable_linear_order β] (U : is_ultrafilter φ) :
decidable_linear_order β* :=
{ decidable_le := by apply_instance,
..filter_product.linear_order U }
/-- If `φ` is an ultrafilter then the ultraproduct is a decidable linear ordered commutative group.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected noncomputable def decidable_linear_ordered_add_comm_group
[decidable_linear_ordered_add_comm_group β] (U : is_ultrafilter φ) :
decidable_linear_ordered_add_comm_group β* :=
{ ..filter_product.ordered_add_comm_group, ..filter_product.decidable_linear_order U }
/-- If `φ` is an ultrafilter then the ultraproduct is a decidable linear ordered commutative ring.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected noncomputable def decidable_linear_ordered_comm_ring
[decidable_linear_ordered_comm_ring β] (U : is_ultrafilter φ) :
decidable_linear_ordered_comm_ring β* :=
{ ..filter_product.linear_ordered_comm_ring U,
..filter_product.decidable_linear_ordered_add_comm_group U }
/-- If `φ` is an ultrafilter then the ultraproduct is a discrete linear ordered field.
This cannot be an instance, since it depends on `φ` being an ultrafilter. -/
protected noncomputable def discrete_linear_ordered_field [discrete_linear_ordered_field β]
(U : is_ultrafilter φ) : discrete_linear_ordered_field β* :=
{ ..filter_product.linear_ordered_field U, ..filter_product.decidable_linear_ordered_comm_ring U,
..filter_product.field U }
instance ordered_cancel_comm_monoid [ordered_cancel_add_comm_monoid β] : ordered_cancel_add_comm_monoid β* :=
{ add_le_add_left := λ x y hxy z, by revert hxy; exact quotient.induction_on₃' x y z
(λ a b c hab, by filter_upwards [hab] λ i hi, by simpa),
le_of_add_le_add_left := λ x y z, quotient.induction_on₃' x y z $ λ x y z h,
by filter_upwards [h] λ i, le_of_add_le_add_left,
..filter_product.add_comm_monoid, ..filter_product.add_left_cancel_semigroup,
..filter_product.add_right_cancel_semigroup, ..filter_product.partial_order }
lemma max_def [K : decidable_linear_order β] (U : is_ultrafilter φ) (x y : β*) :
@max β* (filter_product.decidable_linear_order U) x y = (lift₂ max) x y :=
quotient.induction_on₂' x y $ λ a b, by unfold max;
begin
split_ifs,
exact quotient.sound'(by filter_upwards [h] λ i hi, (max_eq_right hi).symm),
exact quotient.sound'(by filter_upwards [@le_of_not_le _ (filter_product.linear_order U) _ _ h]
λ i hi, (max_eq_left hi).symm),
end
lemma min_def [K : decidable_linear_order β] (U : is_ultrafilter φ) (x y : β*) :
@min β* (filter_product.decidable_linear_order U) x y = (lift₂ min) x y :=
quotient.induction_on₂' x y $ λ a b, by unfold min;
begin
split_ifs,
exact quotient.sound'(by filter_upwards [h] λ i hi, (min_eq_left hi).symm),
exact quotient.sound'(by filter_upwards [@le_of_not_le _ (filter_product.linear_order U) _ _ h]
λ i hi, (min_eq_right hi).symm),
end
lemma abs_def [decidable_linear_ordered_add_comm_group β] (U : is_ultrafilter φ) (x : β*) :
@abs _ (filter_product.decidable_linear_ordered_add_comm_group U) x = (lift abs) x :=
quotient.induction_on' x $ λ a, by unfold abs; rw max_def;
exact quotient.sound' (show ∀* i, abs _ = _, by simp)
@[simp] lemma of_max [decidable_linear_order β] (U : is_ultrafilter φ) (x y : β) :
((max x y : β) : β*) = @max _ (filter_product.decidable_linear_order U) (x : β*) y :=
begin
unfold max, split_ifs,
{ refl },
{ exact false.elim (h_1 (of_le_of_le h)) },
{ exact false.elim (h ((of_le U.1).mpr h_1)) },
{ refl }
end
@[simp] lemma of_min [decidable_linear_order β] (U : is_ultrafilter φ) (x y : β) :
((min x y : β) : β*) = @min _ (filter_product.decidable_linear_order U) (x : β*) y :=
begin
unfold min, split_ifs,
{ refl },
{ exact false.elim (h_1 (of_le_of_le h)) },
{ exact false.elim (h ((of_le U.1).mpr h_1)) },
{ refl }
end
@[simp] lemma of_abs [decidable_linear_ordered_add_comm_group β] (U : is_ultrafilter φ) (x : β) :
((abs x : β) : β*) = @abs _ (filter_product.decidable_linear_ordered_add_comm_group U) (x : β*) :=
of_max U x (-x)
end filter_product
end filter
|
0b0388c92680e7a625fbd8c91783926927cf5429 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/category_theory/subobject/mono_over.lean | 87410369a593db7cf97a97a8d09312a9c80ceaba | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 13,487 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Scott Morrison
-/
import category_theory.limits.over
import category_theory.limits.shapes.images
import category_theory.adjunction.reflective
/-!
# Monomorphisms over a fixed object
As preparation for defining `subobject X`, we set up the theory for
`mono_over X := {f : over X // mono f.hom}`.
Here `mono_over X` is a thin category (a pair of objects has at most one morphism between them),
so we can think of it as a preorder. However as it is not skeletal, it is not yet a partial order.
`subobject X` will be defined as the skeletalization of `mono_over X`.
We provide
* `def pullback [has_pullbacks C] (f : X ⟶ Y) : mono_over Y ⥤ mono_over X`
* `def map (f : X ⟶ Y) [mono f] : mono_over X ⥤ mono_over Y`
* `def «exists» [has_images C] (f : X ⟶ Y) : mono_over X ⥤ mono_over Y`
and prove their basic properties and relationships.
## Notes
This development originally appeared in Bhavik Mehta's "Topos theory for Lean" repository,
and was ported to mathlib by Scott Morrison.
-/
universes v₁ v₂ u₁ u₂
noncomputable theory
namespace category_theory
open category_theory category_theory.category category_theory.limits
variables {C : Type u₁} [category.{v₁} C] {X Y Z : C}
variables {D : Type u₂} [category.{v₂} D]
/--
The category of monomorphisms into `X` as a full subcategory of the over category.
This isn't skeletal, so it's not a partial order.
Later we define `subobject X` as the quotient of this by isomorphisms.
-/
@[derive [category]]
def mono_over (X : C) := full_subcategory (λ (f : over X), mono f.hom)
namespace mono_over
/-- Construct a `mono_over X`. -/
@[simps]
def mk' {X A : C} (f : A ⟶ X) [hf : mono f] : mono_over X := { obj := over.mk f, property := hf }
/-- The inclusion from monomorphisms over X to morphisms over X. -/
def forget (X : C) : mono_over X ⥤ over X := full_subcategory_inclusion _
instance : has_coe (mono_over X) C :=
{ coe := λ Y, Y.obj.left, }
@[simp]
lemma forget_obj_left {f} : ((forget X).obj f).left = (f : C) := rfl
@[simp] lemma mk'_coe' {X A : C} (f : A ⟶ X) [hf : mono f] : (mk' f : C) = A := rfl
/-- Convenience notation for the underlying arrow of a monomorphism over X. -/
abbreviation arrow (f : mono_over X) : (f : C) ⟶ X := ((forget X).obj f).hom
@[simp] lemma mk'_arrow {X A : C} (f : A ⟶ X) [hf : mono f] : (mk' f).arrow = f := rfl
@[simp]
lemma forget_obj_hom {f} : ((forget X).obj f).hom = f.arrow := rfl
instance : full (forget X) := full_subcategory.full _
instance : faithful (forget X) := full_subcategory.faithful _
instance mono (f : mono_over X) : mono f.arrow := f.property
/-- The category of monomorphisms over X is a thin category,
which makes defining its skeleton easy. -/
instance is_thin {X : C} : quiver.is_thin (mono_over X) :=
λ f g,
⟨begin
intros h₁ h₂,
ext1,
erw [← cancel_mono g.arrow, over.w h₁, over.w h₂],
end⟩
@[reassoc] lemma w {f g : mono_over X} (k : f ⟶ g) : k.left ≫ g.arrow = f.arrow := over.w _
/-- Convenience constructor for a morphism in monomorphisms over `X`. -/
abbreviation hom_mk {f g : mono_over X} (h : f.obj.left ⟶ g.obj.left) (w : h ≫ g.arrow = f.arrow) :
f ⟶ g :=
over.hom_mk h w
/-- Convenience constructor for an isomorphism in monomorphisms over `X`. -/
@[simps]
def iso_mk {f g : mono_over X} (h : f.obj.left ≅ g.obj.left) (w : h.hom ≫ g.arrow = f.arrow) :
f ≅ g :=
{ hom := hom_mk h.hom w,
inv := hom_mk h.inv (by rw [h.inv_comp_eq, w]) }
/-- If `f : mono_over X`, then `mk' f.arrow` is of course just `f`, but not definitionally, so we
package it as an isomorphism. -/
@[simp] def mk'_arrow_iso {X : C} (f : mono_over X) : (mk' f.arrow) ≅ f :=
iso_mk (iso.refl _) (by simp)
/--
Lift a functor between over categories to a functor between `mono_over` categories,
given suitable evidence that morphisms are taken to monomorphisms.
-/
@[simps]
def lift {Y : D} (F : over Y ⥤ over X)
(h : ∀ (f : mono_over Y), mono (F.obj ((mono_over.forget Y).obj f)).hom) :
mono_over Y ⥤ mono_over X :=
{ obj := λ f, ⟨_, h f⟩,
map := λ _ _ k, (mono_over.forget X).preimage ((mono_over.forget Y ⋙ F).map k), }
/--
Isomorphic functors `over Y ⥤ over X` lift to isomorphic functors `mono_over Y ⥤ mono_over X`.
-/
def lift_iso {Y : D} {F₁ F₂ : over Y ⥤ over X} (h₁ h₂) (i : F₁ ≅ F₂) :
lift F₁ h₁ ≅ lift F₂ h₂ :=
fully_faithful_cancel_right (mono_over.forget X) (iso_whisker_left (mono_over.forget Y) i)
/-- `mono_over.lift` commutes with composition of functors. -/
def lift_comp {X Z : C} {Y : D} (F : over X ⥤ over Y) (G : over Y ⥤ over Z) (h₁ h₂) :
lift F h₁ ⋙ lift G h₂ ≅ lift (F ⋙ G) (λ f, h₂ ⟨_, h₁ f⟩) :=
fully_faithful_cancel_right (mono_over.forget _) (iso.refl _)
/-- `mono_over.lift` preserves the identity functor. -/
def lift_id :
lift (𝟭 (over X)) (λ f, f.2) ≅ 𝟭 _ :=
fully_faithful_cancel_right (mono_over.forget _) (iso.refl _)
@[simp]
lemma lift_comm (F : over Y ⥤ over X)
(h : ∀ (f : mono_over Y), mono (F.obj ((mono_over.forget Y).obj f)).hom) :
lift F h ⋙ mono_over.forget X = mono_over.forget Y ⋙ F :=
rfl
@[simp]
lemma lift_obj_arrow {Y : D} (F : over Y ⥤ over X)
(h : ∀ (f : mono_over Y), mono (F.obj ((mono_over.forget Y).obj f)).hom) (f : mono_over Y) :
((lift F h).obj f).arrow = (F.obj ((forget Y).obj f)).hom :=
rfl
/--
Monomorphisms over an object `f : over A` in an over category
are equivalent to monomorphisms over the source of `f`.
-/
def slice {A : C} {f : over A} (h₁ h₂) : mono_over f ≌ mono_over f.left :=
{ functor := mono_over.lift f.iterated_slice_equiv.functor h₁,
inverse := mono_over.lift f.iterated_slice_equiv.inverse h₂,
unit_iso := mono_over.lift_id.symm ≪≫
mono_over.lift_iso _ _ f.iterated_slice_equiv.unit_iso ≪≫
(mono_over.lift_comp _ _ _ _).symm,
counit_iso := mono_over.lift_comp _ _ _ _ ≪≫
mono_over.lift_iso _ _ f.iterated_slice_equiv.counit_iso ≪≫
mono_over.lift_id }
section pullback
variables [has_pullbacks C]
/-- When `C` has pullbacks, a morphism `f : X ⟶ Y` induces a functor `mono_over Y ⥤ mono_over X`,
by pulling back a monomorphism along `f`. -/
def pullback (f : X ⟶ Y) : mono_over Y ⥤ mono_over X :=
mono_over.lift (over.pullback f)
begin
intro g,
apply @pullback.snd_of_mono _ _ _ _ _ _ _ _ _,
change mono g.arrow,
apply_instance,
end
/-- pullback commutes with composition (up to a natural isomorphism) -/
def pullback_comp (f : X ⟶ Y) (g : Y ⟶ Z) : pullback (f ≫ g) ≅ pullback g ⋙ pullback f :=
lift_iso _ _ (over.pullback_comp _ _) ≪≫ (lift_comp _ _ _ _).symm
/-- pullback preserves the identity (up to a natural isomorphism) -/
def pullback_id : pullback (𝟙 X) ≅ 𝟭 _ :=
lift_iso _ _ over.pullback_id ≪≫ lift_id
@[simp] lemma pullback_obj_left (f : X ⟶ Y) (g : mono_over Y) :
(((pullback f).obj g) : C) = limits.pullback g.arrow f :=
rfl
@[simp] lemma pullback_obj_arrow (f : X ⟶ Y) (g : mono_over Y) :
((pullback f).obj g).arrow = pullback.snd :=
rfl
end pullback
section map
attribute [instance] mono_comp
/--
We can map monomorphisms over `X` to monomorphisms over `Y`
by post-composition with a monomorphism `f : X ⟶ Y`.
-/
def map (f : X ⟶ Y) [mono f] : mono_over X ⥤ mono_over Y :=
lift (over.map f)
(λ g, by apply mono_comp g.arrow f)
/-- `mono_over.map` commutes with composition (up to a natural isomorphism). -/
def map_comp (f : X ⟶ Y) (g : Y ⟶ Z) [mono f] [mono g] :
map (f ≫ g) ≅ map f ⋙ map g :=
lift_iso _ _ (over.map_comp _ _) ≪≫ (lift_comp _ _ _ _).symm
/-- `mono_over.map` preserves the identity (up to a natural isomorphism). -/
def map_id : map (𝟙 X) ≅ 𝟭 _ :=
lift_iso _ _ over.map_id ≪≫ lift_id
@[simp] lemma map_obj_left (f : X ⟶ Y) [mono f] (g : mono_over X) :
(((map f).obj g) : C) = g.obj.left :=
rfl
@[simp]
lemma map_obj_arrow (f : X ⟶ Y) [mono f] (g : mono_over X) :
((map f).obj g).arrow = g.arrow ≫ f :=
rfl
instance full_map (f : X ⟶ Y) [mono f] : full (map f) :=
{ preimage := λ g h e,
begin
refine hom_mk e.left _,
rw [← cancel_mono f, assoc],
apply w e,
end }
instance faithful_map (f : X ⟶ Y) [mono f] : faithful (map f) := {}.
/--
Isomorphic objects have equivalent `mono_over` categories.
-/
@[simps] def map_iso {A B : C} (e : A ≅ B) : mono_over A ≌ mono_over B :=
{ functor := map e.hom,
inverse := map e.inv,
unit_iso := ((map_comp _ _).symm ≪≫ eq_to_iso (by simp) ≪≫ map_id).symm,
counit_iso := ((map_comp _ _).symm ≪≫ eq_to_iso (by simp) ≪≫ map_id) }
section
variables (X)
/-- An equivalence of categories `e` between `C` and `D` induces an equivalence between
`mono_over X` and `mono_over (e.functor.obj X)` whenever `X` is an object of `C`. -/
@[simps] def congr (e : C ≌ D) : mono_over X ≌ mono_over (e.functor.obj X) :=
{ functor := lift (over.post e.functor) $ λ f, by { dsimp, apply_instance },
inverse := (lift (over.post e.inverse) $ λ f, by { dsimp, apply_instance })
⋙ (map_iso (e.unit_iso.symm.app X)).functor,
unit_iso := nat_iso.of_components (λ Y, iso_mk (e.unit_iso.app Y) (by tidy)) (by tidy),
counit_iso := nat_iso.of_components (λ Y, iso_mk (e.counit_iso.app Y) (by tidy)) (by tidy) }
end
section
variable [has_pullbacks C]
/-- `map f` is left adjoint to `pullback f` when `f` is a monomorphism -/
def map_pullback_adj (f : X ⟶ Y) [mono f] : map f ⊣ pullback f :=
adjunction.restrict_fully_faithful
(forget X) (forget Y) (over.map_pullback_adj f) (iso.refl _) (iso.refl _)
/-- `mono_over.map f` followed by `mono_over.pullback f` is the identity. -/
def pullback_map_self (f : X ⟶ Y) [mono f] :
map f ⋙ pullback f ≅ 𝟭 _ :=
(as_iso (mono_over.map_pullback_adj f).unit).symm
end
end map
section image
variables (f : X ⟶ Y) [has_image f]
/--
The `mono_over Y` for the image inclusion for a morphism `f : X ⟶ Y`.
-/
def image_mono_over (f : X ⟶ Y) [has_image f] : mono_over Y := mono_over.mk' (image.ι f)
@[simp] lemma image_mono_over_arrow (f : X ⟶ Y) [has_image f] :
(image_mono_over f).arrow = image.ι f :=
rfl
end image
section image
variables [has_images C]
/--
Taking the image of a morphism gives a functor `over X ⥤ mono_over X`.
-/
@[simps]
def image : over X ⥤ mono_over X :=
{ obj := λ f, image_mono_over f.hom,
map := λ f g k,
begin
apply (forget X).preimage _,
apply over.hom_mk _ _,
refine image.lift {I := image _, m := image.ι g.hom, e := k.left ≫ factor_thru_image g.hom},
apply image.lift_fac,
end }
/--
`mono_over.image : over X ⥤ mono_over X` is left adjoint to
`mono_over.forget : mono_over X ⥤ over X`
-/
def image_forget_adj : image ⊣ forget X :=
adjunction.mk_of_hom_equiv
{ hom_equiv := λ f g,
{ to_fun := λ k,
begin
apply over.hom_mk (factor_thru_image f.hom ≫ k.left) _,
change (factor_thru_image f.hom ≫ k.left) ≫ _ = f.hom,
rw [assoc, over.w k],
apply image.fac
end,
inv_fun := λ k,
begin
refine over.hom_mk _ _,
refine image.lift {I := g.obj.left, m := g.arrow, e := k.left, fac' := over.w k},
apply image.lift_fac,
end,
left_inv := λ k, subsingleton.elim _ _,
right_inv := λ k,
begin
ext1,
change factor_thru_image _ ≫ image.lift _ = _,
rw [← cancel_mono g.arrow, assoc, image.lift_fac, image.fac f.hom],
exact (over.w k).symm,
end } }
instance : is_right_adjoint (forget X) :=
{ left := image, adj := image_forget_adj }
instance reflective : reflective (forget X) := {}.
/--
Forgetting that a monomorphism over `X` is a monomorphism, then taking its image,
is the identity functor.
-/
def forget_image : forget X ⋙ image ≅ 𝟭 (mono_over X) :=
as_iso (adjunction.counit image_forget_adj)
end image
section «exists»
variables [has_images C]
/--
In the case where `f` is not a monomorphism but `C` has images,
we can still take the "forward map" under it, which agrees with `mono_over.map f`.
-/
def «exists» (f : X ⟶ Y) : mono_over X ⥤ mono_over Y :=
forget _ ⋙ over.map f ⋙ image
instance faithful_exists (f : X ⟶ Y) : faithful («exists» f) := {}.
/--
When `f : X ⟶ Y` is a monomorphism, `exists f` agrees with `map f`.
-/
def exists_iso_map (f : X ⟶ Y) [mono f] : «exists» f ≅ map f :=
nat_iso.of_components
begin
intro Z,
suffices : (forget _).obj ((«exists» f).obj Z) ≅ (forget _).obj ((map f).obj Z),
apply (forget _).preimage_iso this,
apply over.iso_mk _ _,
apply image_mono_iso_source (Z.arrow ≫ f),
apply image_mono_iso_source_hom_self,
end
begin
intros Z₁ Z₂ g,
ext1,
change image.lift ⟨_, _, _, _⟩ ≫ (image_mono_iso_source (Z₂.arrow ≫ f)).hom =
(image_mono_iso_source (Z₁.arrow ≫ f)).hom ≫ g.left,
rw [← cancel_mono (Z₂.arrow ≫ f), assoc, assoc, w_assoc g, image_mono_iso_source_hom_self,
image_mono_iso_source_hom_self],
apply image.lift_fac,
end
/-- `exists` is adjoint to `pullback` when images exist -/
def exists_pullback_adj (f : X ⟶ Y) [has_pullbacks C] : «exists» f ⊣ pullback f :=
adjunction.restrict_fully_faithful (forget X) (𝟭 _)
((over.map_pullback_adj f).comp image_forget_adj)
(iso.refl _)
(iso.refl _)
end «exists»
end mono_over
end category_theory
|
cceea53f8fe5fd9c9d3a285ee628618aba19137f | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /stage0/src/Lean/Syntax.lean | e98e1088bc99524515060eb1b09ff329e0d01766 | [
"Apache-2.0"
] | permissive | WojciechKarpiel/lean4 | 7f89706b8e3c1f942b83a2c91a3a00b05da0e65b | f6e1314fa08293dea66a329e05b6c196a0189163 | refs/heads/master | 1,686,633,402,214 | 1,625,821,189,000 | 1,625,821,258,000 | 384,640,886 | 0 | 0 | Apache-2.0 | 1,625,903,617,000 | 1,625,903,026,000 | null | UTF-8 | Lean | false | false | 15,860 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Sebastian Ullrich, Leonardo de Moura
-/
import Lean.Data.Name
import Lean.Data.Format
namespace Lean
def SourceInfo.updateTrailing (trailing : Substring) : SourceInfo → SourceInfo
| SourceInfo.original leading pos _ endPos => SourceInfo.original leading pos trailing endPos
| info => info
/- Syntax AST -/
inductive IsNode : Syntax → Prop where
| mk (kind : SyntaxNodeKind) (args : Array Syntax) : IsNode (Syntax.node kind args)
def SyntaxNode : Type := {s : Syntax // IsNode s }
def unreachIsNodeMissing {β} (h : IsNode Syntax.missing) : β := False.elim (nomatch h)
def unreachIsNodeAtom {β} {info val} (h : IsNode (Syntax.atom info val)) : β := False.elim (nomatch h)
def unreachIsNodeIdent {β info rawVal val preresolved} (h : IsNode (Syntax.ident info rawVal val preresolved)) : β := False.elim (nomatch h)
namespace SyntaxNode
@[inline] def getKind (n : SyntaxNode) : SyntaxNodeKind :=
match n with
| ⟨Syntax.node k args, _⟩ => k
| ⟨Syntax.missing, h⟩ => unreachIsNodeMissing h
| ⟨Syntax.atom .., h⟩ => unreachIsNodeAtom h
| ⟨Syntax.ident .., h⟩ => unreachIsNodeIdent h
@[inline] def withArgs {β} (n : SyntaxNode) (fn : Array Syntax → β) : β :=
match n with
| ⟨Syntax.node _ args, _⟩ => fn args
| ⟨Syntax.missing, h⟩ => unreachIsNodeMissing h
| ⟨Syntax.atom _ _, h⟩ => unreachIsNodeAtom h
| ⟨Syntax.ident _ _ _ _, h⟩ => unreachIsNodeIdent h
@[inline] def getNumArgs (n : SyntaxNode) : Nat :=
withArgs n $ fun args => args.size
@[inline] def getArg (n : SyntaxNode) (i : Nat) : Syntax :=
withArgs n $ fun args => args.get! i
@[inline] def getArgs (n : SyntaxNode) : Array Syntax :=
withArgs n $ fun args => args
@[inline] def modifyArgs (n : SyntaxNode) (fn : Array Syntax → Array Syntax) : Syntax :=
match n with
| ⟨Syntax.node kind args, _⟩ => Syntax.node kind (fn args)
| ⟨Syntax.missing, h⟩ => unreachIsNodeMissing h
| ⟨Syntax.atom _ _, h⟩ => unreachIsNodeAtom h
| ⟨Syntax.ident _ _ _ _, h⟩ => unreachIsNodeIdent h
end SyntaxNode
namespace Syntax
def getAtomVal! : Syntax → String
| atom _ val => val
| _ => panic! "getAtomVal!: not an atom"
def setAtomVal : Syntax → String → Syntax
| atom info _, v => (atom info v)
| stx, _ => stx
@[inline] def ifNode {β} (stx : Syntax) (hyes : SyntaxNode → β) (hno : Unit → β) : β :=
match stx with
| Syntax.node k args => hyes ⟨Syntax.node k args, IsNode.mk k args⟩
| _ => hno ()
@[inline] def ifNodeKind {β} (stx : Syntax) (kind : SyntaxNodeKind) (hyes : SyntaxNode → β) (hno : Unit → β) : β :=
match stx with
| Syntax.node k args => if k == kind then hyes ⟨Syntax.node k args, IsNode.mk k args⟩ else hno ()
| _ => hno ()
def asNode : Syntax → SyntaxNode
| Syntax.node kind args => ⟨Syntax.node kind args, IsNode.mk kind args⟩
| _ => ⟨Syntax.node nullKind #[], IsNode.mk nullKind #[]⟩
def getIdAt (stx : Syntax) (i : Nat) : Name :=
(stx.getArg i).getId
@[inline] def modifyArgs (stx : Syntax) (fn : Array Syntax → Array Syntax) : Syntax :=
match stx with
| node k args => node k (fn args)
| stx => stx
@[inline] def modifyArg (stx : Syntax) (i : Nat) (fn : Syntax → Syntax) : Syntax :=
match stx with
| node k args => node k (args.modify i fn)
| stx => stx
@[specialize] partial def replaceM {m : Type → Type} [Monad m] (fn : Syntax → m (Option Syntax)) : Syntax → m (Syntax)
| stx@(node kind args) => do
match (← fn stx) with
| some stx => return stx
| none => return node kind (← args.mapM (replaceM fn))
| stx => do
let o ← fn stx
return o.getD stx
@[specialize] partial def rewriteBottomUpM {m : Type → Type} [Monad m] (fn : Syntax → m (Syntax)) : Syntax → m (Syntax)
| node kind args => do
let args ← args.mapM (rewriteBottomUpM fn)
fn (node kind args)
| stx => fn stx
@[inline] def rewriteBottomUp (fn : Syntax → Syntax) (stx : Syntax) : Syntax :=
Id.run $ stx.rewriteBottomUpM fn
private def updateInfo : SourceInfo → String.Pos → String.Pos → SourceInfo
| SourceInfo.original lead pos trail endPos, leadStart, trailStop =>
SourceInfo.original { lead with startPos := leadStart } pos { trail with stopPos := trailStop } endPos
| info, _, _ => info
private def chooseNiceTrailStop (trail : Substring) : String.Pos :=
trail.startPos + trail.posOf '\n'
/- Remark: the State `String.Pos` is the `SourceInfo.trailing.stopPos` of the previous token,
or the beginning of the String. -/
@[inline]
private def updateLeadingAux : Syntax → StateM String.Pos (Option Syntax)
| atom info@(SourceInfo.original lead _ trail _) val => do
let trailStop := chooseNiceTrailStop trail
let newInfo := updateInfo info (← get) trailStop
set trailStop
pure $ some (atom newInfo val)
| ident info@(SourceInfo.original lead _ trail _) rawVal val pre => do
let trailStop := chooseNiceTrailStop trail
let newInfo := updateInfo info (← get) trailStop
set trailStop
pure $ some (ident newInfo rawVal val pre)
| _ => pure none
/-- Set `SourceInfo.leading` according to the trailing stop of the preceding token.
The result is a round-tripping syntax tree IF, in the input syntax tree,
* all leading stops, atom contents, and trailing starts are correct
* trailing stops are between the trailing start and the next leading stop.
Remark: after parsing, all `SourceInfo.leading` fields are empty.
The `Syntax` argument is the output produced by the parser for `source`.
This function "fixes" the `source.leading` field.
Additionally, we try to choose "nicer" splits between leading and trailing stops
according to some heuristics so that e.g. comments are associated to the (intuitively)
correct token.
Note that the `SourceInfo.trailing` fields must be correct.
The implementation of this Function relies on this property. -/
def updateLeading : Syntax → Syntax :=
fun stx => (replaceM updateLeadingAux stx).run' 0
partial def updateTrailing (trailing : Substring) : Syntax → Syntax
| Syntax.atom info val => Syntax.atom (info.updateTrailing trailing) val
| Syntax.ident info rawVal val pre => Syntax.ident (info.updateTrailing trailing) rawVal val pre
| n@(Syntax.node k args) =>
if args.size == 0 then n
else
let i := args.size - 1
let last := updateTrailing trailing args[i]
let args := args.set! i last;
Syntax.node k args
| s => s
partial def getTailWithPos : Syntax → Option Syntax
| stx@(atom info _) => info.getPos?.map fun _ => stx
| stx@(ident info ..) => info.getPos?.map fun _ => stx
| node _ args => args.findSomeRev? getTailWithPos
| _ => none
structure TopDown where
firstChoiceOnly : Bool
stx : Syntax
/--
`for _ in stx.topDown` iterates through each node and leaf in `stx` top-down, left-to-right.
If `firstChoiceOnly` is `true`, only visit the first argument of each choice node.
-/
def topDown (stx : Syntax) (firstChoiceOnly := false) : TopDown := ⟨firstChoiceOnly, stx⟩
partial instance : ForIn m TopDown Syntax where
forIn := fun ⟨firstChoiceOnly, stx⟩ init f => do
let rec @[specialize] loop stx b [Inhabited (typeOf% b)] := do
match (← f stx b) with
| ForInStep.yield b' =>
let mut b := b'
if let Syntax.node k args := stx then
if firstChoiceOnly && k == choiceKind then
return ← loop args[0] b
else
for arg in args do
match (← loop arg b) with
| ForInStep.yield b' => b := b'
| ForInStep.done b' => return ForInStep.done b'
return ForInStep.yield b
| ForInStep.done b => return ForInStep.done b
match (← @loop stx init ⟨init⟩) with
| ForInStep.yield b => return b
| ForInStep.done b => return b
partial def reprint (stx : Syntax) : Option String :=
OptionM.run do
let mut s := ""
for stx in stx.topDown (firstChoiceOnly := true) do
match stx with
| atom info val => s := s ++ reprintLeaf info val
| ident info rawVal _ _ => s := s ++ reprintLeaf info rawVal.toString
| node kind args =>
if kind == choiceKind then
-- this visit the first arg twice, but that should hardly be a problem
-- given that choice nodes are quite rare and small
let s0 ← reprint args[0]
for arg in args[1:] do
let s' ← reprint arg
guard (s0 == s')
| _ => pure ()
return s
where
reprintLeaf (info : SourceInfo) (val : String) : String :=
match info with
| SourceInfo.original lead _ trail _ => s!"{lead}{val}{trail}"
-- no source info => add gracious amounts of whitespace to definitely separate tokens
-- Note that the proper pretty printer does not use this function.
-- The parser as well always produces source info, so round-tripping is still
-- guaranteed.
| _ => s!" {val} "
def hasMissing (stx : Syntax) : Bool := do
for stx in stx.topDown do
if stx.isMissing then
return true
return false
/--
Represents a cursor into a syntax tree that can be read, written, and advanced down/up/left/right.
Indices are allowed to be out-of-bound, in which case `cur` is `Syntax.missing`.
If the `Traverser` is used linearly, updates are linear in the `Syntax` object as well.
-/
structure Traverser where
cur : Syntax
parents : Array Syntax
idxs : Array Nat
namespace Traverser
def fromSyntax (stx : Syntax) : Traverser :=
⟨stx, #[], #[]⟩
def setCur (t : Traverser) (stx : Syntax) : Traverser :=
{ t with cur := stx }
/-- Advance to the `idx`-th child of the current node. -/
def down (t : Traverser) (idx : Nat) : Traverser :=
if idx < t.cur.getNumArgs then
{ cur := t.cur.getArg idx, parents := t.parents.push $ t.cur.setArg idx arbitrary, idxs := t.idxs.push idx }
else
{ cur := Syntax.missing, parents := t.parents.push t.cur, idxs := t.idxs.push idx }
/-- Advance to the parent of the current node, if any. -/
def up (t : Traverser) : Traverser :=
if t.parents.size > 0 then
let cur := if t.idxs.back < t.parents.back.getNumArgs then t.parents.back.setArg t.idxs.back t.cur else t.parents.back
{ cur := cur, parents := t.parents.pop, idxs := t.idxs.pop }
else
t
/-- Advance to the left sibling of the current node, if any. -/
def left (t : Traverser) : Traverser :=
if t.parents.size > 0 then
t.up.down (t.idxs.back - 1)
else
t
/-- Advance to the right sibling of the current node, if any. -/
def right (t : Traverser) : Traverser :=
if t.parents.size > 0 then
t.up.down (t.idxs.back + 1)
else
t
end Traverser
/-- Monad class that gives read/write access to a `Traverser`. -/
class MonadTraverser (m : Type → Type) where
st : MonadState Traverser m
namespace MonadTraverser
variable {m : Type → Type} [Monad m] [t : MonadTraverser m]
def getCur : m Syntax := Traverser.cur <$> t.st.get
def setCur (stx : Syntax) : m Unit := @modify _ _ t.st (fun t => t.setCur stx)
def goDown (idx : Nat) : m Unit := @modify _ _ t.st (fun t => t.down idx)
def goUp : m Unit := @modify _ _ t.st (fun t => t.up)
def goLeft : m Unit := @modify _ _ t.st (fun t => t.left)
def goRight : m Unit := @modify _ _ t.st (fun t => t.right)
def getIdx : m Nat := do
let st ← t.st.get
st.idxs.back?.getD 0
end MonadTraverser
end Syntax
namespace SyntaxNode
@[inline] def getIdAt (n : SyntaxNode) (i : Nat) : Name :=
(n.getArg i).getId
end SyntaxNode
def mkListNode (args : Array Syntax) : Syntax :=
Syntax.node nullKind args
namespace Syntax
-- quotation node kinds are formed from a unique quotation name plus "quot"
def isQuot : Syntax → Bool
| Syntax.node (Name.str _ "quot" _) _ => true
| Syntax.node `Lean.Parser.Term.dynamicQuot _ => true
| _ => false
def getQuotContent (stx : Syntax) : Syntax :=
if stx.isOfKind `Lean.Parser.Term.dynamicQuot then
stx[3]
else
stx[1]
-- antiquotation node kinds are formed from the original node kind (if any) plus "antiquot"
def isAntiquot : Syntax → Bool
| Syntax.node (Name.str _ "antiquot" _) _ => true
| _ => false
def mkAntiquotNode (term : Syntax) (nesting := 0) (name : Option String := none) (kind := Name.anonymous) : Syntax :=
let nesting := mkNullNode (mkArray nesting (mkAtom "$"))
let term := match term.isIdent with
| true => term
| false => mkNode `antiquotNestedExpr #[mkAtom "(", term, mkAtom ")"]
let name := match name with
| some name => mkNode `antiquotName #[mkAtom ":", mkAtom name]
| none => mkNullNode
mkNode (kind ++ `antiquot) #[mkAtom "$", nesting, term, name]
-- Antiquotations can be escaped as in `$$x`, which is useful for nesting macros. Also works for antiquotation splices.
def isEscapedAntiquot (stx : Syntax) : Bool :=
!stx[1].getArgs.isEmpty
-- Also works for antiquotation splices.
def unescapeAntiquot (stx : Syntax) : Syntax :=
if isAntiquot stx then
stx.setArg 1 $ mkNullNode stx[1].getArgs.pop
else
stx
-- Also works for token antiquotations.
def getAntiquotTerm (stx : Syntax) : Syntax :=
let e := if stx.isAntiquot then stx[2] else stx[3]
if e.isIdent then e
else
-- `e` is from `"(" >> termParser >> ")"`
e[1]
def antiquotKind? : Syntax → Option SyntaxNodeKind
| Syntax.node (Name.str k "antiquot" _) args =>
if args[3].isOfKind `antiquotName then some k
else
-- we treat all antiquotations where the kind was left implicit (`$e`) the same (see `elimAntiquotChoices`)
some Name.anonymous
| _ => none
-- An "antiquotation splice" is something like `$[...]?` or `$[...]*`.
def antiquotSpliceKind? : Syntax → Option SyntaxNodeKind
| Syntax.node (Name.str k "antiquot_scope" _) args => some k
| _ => none
def isAntiquotSplice (stx : Syntax) : Bool :=
antiquotSpliceKind? stx |>.isSome
def getAntiquotSpliceContents (stx : Syntax) : Array Syntax :=
stx[3].getArgs
-- `$[..],*` or `$x,*` ~> `,*`
def getAntiquotSpliceSuffix (stx : Syntax) : Syntax :=
if stx.isAntiquotSplice then
stx[5]
else
stx[1]
def mkAntiquotSpliceNode (kind : SyntaxNodeKind) (contents : Array Syntax) (suffix : String) (nesting := 0) : Syntax :=
let nesting := mkNullNode (mkArray nesting (mkAtom "$"))
mkNode (kind ++ `antiquot_splice) #[mkAtom "$", nesting, mkAtom "[", mkNullNode contents, mkAtom "]", mkAtom suffix]
-- `$x,*` etc.
def antiquotSuffixSplice? : Syntax → Option SyntaxNodeKind
| Syntax.node (Name.str k "antiquot_suffix_splice" _) args => some k
| _ => none
def isAntiquotSuffixSplice (stx : Syntax) : Bool :=
antiquotSuffixSplice? stx |>.isSome
-- `$x` in the example above
def getAntiquotSuffixSpliceInner (stx : Syntax) : Syntax :=
stx[0]
def mkAntiquotSuffixSpliceNode (kind : SyntaxNodeKind) (inner : Syntax) (suffix : String) : Syntax :=
mkNode (kind ++ `antiquot_suffix_splice) #[inner, mkAtom suffix]
def isTokenAntiquot (stx : Syntax) : Bool :=
stx.isOfKind `token_antiquot
def isAnyAntiquot (stx : Syntax) : Bool :=
stx.isAntiquot || stx.isAntiquotSplice || stx.isAntiquotSuffixSplice || stx.isTokenAntiquot
end Syntax
end Lean
|
e64e8607c1c92c15c7b0903bf992b9f3e411e0fc | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/topology/locally_constant/basic.lean | aab9e969c3c8abdee40354dee3e4f3cd9b0fd885 | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 16,277 | lean | /-
Copyright (c) 2021 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import topology.subset_properties
import topology.connected
import topology.algebra.monoid
import topology.continuous_function.basic
import tactic.tfae
import tactic.fin_cases
/-!
# Locally constant functions
This file sets up the theory of locally constant function from a topological space to a type.
## Main definitions and constructions
* `is_locally_constant f` : a map `f : X → Y` where `X` is a topological space is locally
constant if every set in `Y` has an open preimage.
* `locally_constant X Y` : the type of locally constant maps from `X` to `Y`
* `locally_constant.map` : push-forward of locally constant maps
* `locally_constant.comap` : pull-back of locally constant maps
-/
variables {X Y Z α : Type*} [topological_space X]
open set filter
open_locale topological_space
/-- A function between topological spaces is locally constant if the preimage of any set is open. -/
def is_locally_constant (f : X → Y) : Prop := ∀ s : set Y, is_open (f ⁻¹' s)
namespace is_locally_constant
protected lemma tfae (f : X → Y) :
tfae [is_locally_constant f,
∀ x, ∀ᶠ x' in 𝓝 x, f x' = f x,
∀ x, is_open {x' | f x' = f x},
∀ y, is_open (f ⁻¹' {y}),
∀ x, ∃ (U : set X) (hU : is_open U) (hx : x ∈ U), ∀ x' ∈ U, f x' = f x] :=
begin
tfae_have : 1 → 4, from λ h y, h {y},
tfae_have : 4 → 3, from λ h x, h (f x),
tfae_have : 3 → 2, from λ h x, is_open.mem_nhds (h x) rfl,
tfae_have : 2 → 5,
{ intros h x,
rcases mem_nhds_iff.1 (h x) with ⟨U, eq, hU, hx⟩,
exact ⟨U, hU, hx, eq⟩ },
tfae_have : 5 → 1,
{ intros h s,
refine is_open_iff_forall_mem_open.2 (λ x hx, _),
rcases h x with ⟨U, hU, hxU, eq⟩,
exact ⟨U, λ x' hx', mem_preimage.2 $ (eq x' hx').symm ▸ hx, hU, hxU⟩ },
tfae_finish
end
@[nontriviality] lemma of_discrete [discrete_topology X] (f : X → Y) :
is_locally_constant f :=
λ s, is_open_discrete _
lemma is_open_fiber {f : X → Y} (hf : is_locally_constant f) (y : Y) :
is_open {x | f x = y} :=
hf {y}
lemma is_closed_fiber {f : X → Y} (hf : is_locally_constant f) (y : Y) :
is_closed {x | f x = y} :=
⟨hf {y}ᶜ⟩
lemma is_clopen_fiber {f : X → Y} (hf : is_locally_constant f) (y : Y) :
is_clopen {x | f x = y} :=
⟨is_open_fiber hf _, is_closed_fiber hf _⟩
lemma iff_exists_open (f : X → Y) :
is_locally_constant f ↔ ∀ x, ∃ (U : set X) (hU : is_open U) (hx : x ∈ U), ∀ x' ∈ U, f x' = f x :=
(is_locally_constant.tfae f).out 0 4
lemma iff_eventually_eq (f : X → Y) :
is_locally_constant f ↔ ∀ x, ∀ᶠ y in 𝓝 x, f y = f x :=
(is_locally_constant.tfae f).out 0 1
lemma exists_open {f : X → Y} (hf : is_locally_constant f) (x : X) :
∃ (U : set X) (hU : is_open U) (hx : x ∈ U), ∀ x' ∈ U, f x' = f x :=
(iff_exists_open f).1 hf x
protected lemma eventually_eq {f : X → Y} (hf : is_locally_constant f) (x : X) :
∀ᶠ y in 𝓝 x, f y = f x :=
(iff_eventually_eq f).1 hf x
protected lemma continuous [topological_space Y] {f : X → Y} (hf : is_locally_constant f) :
continuous f :=
⟨λ U hU, hf _⟩
lemma iff_continuous {_ : topological_space Y} [discrete_topology Y] (f : X → Y) :
is_locally_constant f ↔ continuous f :=
⟨is_locally_constant.continuous, λ h s, h.is_open_preimage s (is_open_discrete _)⟩
lemma iff_continuous_bot (f : X → Y) :
is_locally_constant f ↔ @continuous X Y _ ⊥ f :=
iff_continuous f
lemma of_constant (f : X → Y) (h : ∀ x y, f x = f y) :
is_locally_constant f :=
(iff_eventually_eq f).2 $ λ x, eventually_of_forall $ λ x', h _ _
lemma const (y : Y) : is_locally_constant (function.const X y) :=
of_constant _ $ λ _ _, rfl
lemma comp {f : X → Y} (hf : is_locally_constant f) (g : Y → Z) :
is_locally_constant (g ∘ f) :=
λ s, by { rw set.preimage_comp, exact hf _ }
lemma prod_mk {Y'} {f : X → Y} {f' : X → Y'} (hf : is_locally_constant f)
(hf' : is_locally_constant f') :
is_locally_constant (λ x, (f x, f' x)) :=
(iff_eventually_eq _).2 $ λ x, (hf.eventually_eq x).mp $ (hf'.eventually_eq x).mono $
λ x' hf' hf, prod.ext hf hf'
lemma comp₂ {Y₁ Y₂ Z : Type*} {f : X → Y₁} {g : X → Y₂}
(hf : is_locally_constant f) (hg : is_locally_constant g) (h : Y₁ → Y₂ → Z) :
is_locally_constant (λ x, h (f x) (g x)) :=
(hf.prod_mk hg).comp (λ x : Y₁ × Y₂, h x.1 x.2)
lemma comp_continuous [topological_space Y] {g : Y → Z} {f : X → Y}
(hg : is_locally_constant g) (hf : continuous f) :
is_locally_constant (g ∘ f) :=
λ s, by { rw set.preimage_comp, exact hf.is_open_preimage _ (hg _) }
/-- A locally constant function is constant on any preconnected set. -/
lemma apply_eq_of_is_preconnected {f : X → Y} (hf : is_locally_constant f)
{s : set X} (hs : is_preconnected s) {x y : X} (hx : x ∈ s) (hy : y ∈ s) :
f x = f y :=
begin
let U := f ⁻¹' {f y},
suffices : x ∉ Uᶜ, from not_not.1 this,
intro hxV,
specialize hs U Uᶜ (hf {f y}) (hf {f y}ᶜ) _ ⟨y, ⟨hy, rfl⟩⟩ ⟨x, ⟨hx, hxV⟩⟩,
{ simp only [union_compl_self, subset_univ] },
{ simpa only [inter_empty, not_nonempty_empty, inter_compl_self] using hs }
end
lemma iff_is_const [preconnected_space X] {f : X → Y} :
is_locally_constant f ↔ ∀ x y, f x = f y :=
⟨λ h x y, h.apply_eq_of_is_preconnected is_preconnected_univ trivial trivial, of_constant _⟩
lemma range_finite [compact_space X] {f : X → Y} (hf : is_locally_constant f) :
(set.range f).finite :=
begin
letI : topological_space Y := ⊥,
haveI : discrete_topology Y := ⟨rfl⟩,
rw @iff_continuous X Y ‹_› ‹_› at hf,
exact finite_of_is_compact_of_discrete _ (is_compact_range hf)
end
@[to_additive] lemma one [has_one Y] : is_locally_constant (1 : X → Y) := const 1
@[to_additive] lemma inv [has_inv Y] ⦃f : X → Y⦄ (hf : is_locally_constant f) :
is_locally_constant f⁻¹ :=
hf.comp (λ x, x⁻¹)
@[to_additive]
lemma mul [has_mul Y] ⦃f g : X → Y⦄ (hf : is_locally_constant f) (hg : is_locally_constant g) :
is_locally_constant (f * g) :=
hf.comp₂ hg (*)
@[to_additive]
lemma div [has_div Y] ⦃f g : X → Y⦄ (hf : is_locally_constant f) (hg : is_locally_constant g) :
is_locally_constant (f / g) :=
hf.comp₂ hg (/)
/-- If a composition of a function `f` followed by an injection `g` is locally
constant, then the locally constant property descends to `f`. -/
lemma desc {α β : Type*} (f : X → α) (g : α → β)
(h : is_locally_constant (g ∘ f)) (inj : function.injective g) : is_locally_constant f :=
begin
rw (is_locally_constant.tfae f).out 0 3,
intros a,
have : f ⁻¹' {a} = (g ∘ f) ⁻¹' { g a },
{ ext x,
simp only [mem_singleton_iff, function.comp_app, mem_preimage],
exact ⟨λ h, by rw h, λ h, inj h⟩ },
rw this,
apply h,
end
end is_locally_constant
/-- A (bundled) locally constant function from a topological space `X` to a type `Y`. -/
structure locally_constant (X Y : Type*) [topological_space X] :=
(to_fun : X → Y)
(is_locally_constant : is_locally_constant to_fun)
namespace locally_constant
instance [inhabited Y] : inhabited (locally_constant X Y) :=
⟨⟨_, is_locally_constant.const default⟩⟩
instance : has_coe_to_fun (locally_constant X Y) (λ _, X → Y) := ⟨locally_constant.to_fun⟩
initialize_simps_projections locally_constant (to_fun → apply)
@[simp] lemma to_fun_eq_coe (f : locally_constant X Y) : f.to_fun = f := rfl
@[simp] lemma coe_mk (f : X → Y) (h) : ⇑(⟨f, h⟩ : locally_constant X Y) = f := rfl
theorem congr_fun {f g : locally_constant X Y} (h : f = g) (x : X) : f x = g x :=
congr_arg (λ h : locally_constant X Y, h x) h
theorem congr_arg (f : locally_constant X Y) {x y : X} (h : x = y) : f x = f y :=
congr_arg (λ x : X, f x) h
theorem coe_injective : @function.injective (locally_constant X Y) (X → Y) coe_fn
| ⟨f, hf⟩ ⟨g, hg⟩ h := have f = g, from h, by subst f
@[simp, norm_cast] theorem coe_inj {f g : locally_constant X Y} : (f : X → Y) = g ↔ f = g :=
coe_injective.eq_iff
@[ext] theorem ext ⦃f g : locally_constant X Y⦄ (h : ∀ x, f x = g x) : f = g :=
coe_injective (funext h)
theorem ext_iff {f g : locally_constant X Y} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
section codomain_topological_space
variables [topological_space Y] (f : locally_constant X Y)
protected lemma continuous : continuous f := f.is_locally_constant.continuous
/-- We can turn a locally-constant function into a bundled `continuous_map`. -/
def to_continuous_map : C(X, Y) := ⟨f, f.continuous⟩
/-- As a shorthand, `locally_constant.to_continuous_map` is available as a coercion -/
instance : has_coe (locally_constant X Y) C(X, Y) := ⟨to_continuous_map⟩
@[simp] lemma to_continuous_map_eq_coe : f.to_continuous_map = f := rfl
@[simp] lemma coe_continuous_map : ((f : C(X, Y)) : X → Y) = (f : X → Y) := rfl
lemma to_continuous_map_injective :
function.injective (to_continuous_map : locally_constant X Y → C(X, Y)) :=
λ _ _ h, ext (continuous_map.congr_fun h)
end codomain_topological_space
/-- The constant locally constant function on `X` with value `y : Y`. -/
def const (X : Type*) {Y : Type*} [topological_space X] (y : Y) :
locally_constant X Y :=
⟨function.const X y, is_locally_constant.const _⟩
@[simp] lemma coe_const (y : Y) : (const X y : X → Y) = function.const X y := rfl
/-- The locally constant function to `fin 2` associated to a clopen set. -/
def of_clopen {X : Type*} [topological_space X] {U : set X} [∀ x, decidable (x ∈ U)]
(hU : is_clopen U) : locally_constant X (fin 2) :=
{ to_fun := λ x, if x ∈ U then 0 else 1,
is_locally_constant := begin
rw (is_locally_constant.tfae (λ x, if x ∈ U then (0 : fin 2) else 1)).out 0 3,
intros e,
fin_cases e,
{ convert hU.1 using 1,
ext,
simp only [nat.one_ne_zero, mem_singleton_iff, fin.one_eq_zero_iff,
mem_preimage, ite_eq_left_iff],
tauto },
{ rw ← is_closed_compl_iff,
convert hU.2,
ext,
simp }
end }
@[simp] lemma of_clopen_fiber_zero {X : Type*} [topological_space X] {U : set X}
[∀ x, decidable (x ∈ U)] (hU : is_clopen U) : of_clopen hU ⁻¹' ({0} : set (fin 2)) = U :=
begin
ext,
simp only [of_clopen, nat.one_ne_zero, mem_singleton_iff,
fin.one_eq_zero_iff, coe_mk, mem_preimage, ite_eq_left_iff],
tauto,
end
@[simp] lemma of_clopen_fiber_one {X : Type*} [topological_space X] {U : set X}
[∀ x, decidable (x ∈ U)] (hU : is_clopen U) : of_clopen hU ⁻¹' ({1} : set (fin 2)) = Uᶜ :=
begin
ext,
simp only [of_clopen, nat.one_ne_zero, mem_singleton_iff, coe_mk,
fin.zero_eq_one_iff, mem_preimage, ite_eq_right_iff,
mem_compl_eq],
tauto,
end
lemma locally_constant_eq_of_fiber_zero_eq {X : Type*} [topological_space X]
(f g : locally_constant X (fin 2)) (h : f ⁻¹' ({0} : set (fin 2)) = g ⁻¹' {0}) : f = g :=
begin
simp only [set.ext_iff, mem_singleton_iff, mem_preimage] at h,
ext1 x,
exact fin.fin_two_eq_of_eq_zero_iff (h x)
end
lemma range_finite [compact_space X] (f : locally_constant X Y) :
(set.range f).finite :=
f.is_locally_constant.range_finite
lemma apply_eq_of_is_preconnected (f : locally_constant X Y) {s : set X} (hs : is_preconnected s)
{x y : X} (hx : x ∈ s) (hy : y ∈ s) :
f x = f y :=
f.is_locally_constant.apply_eq_of_is_preconnected hs hx hy
lemma apply_eq_of_preconnected_space [preconnected_space X] (f : locally_constant X Y) (x y : X) :
f x = f y :=
f.is_locally_constant.apply_eq_of_is_preconnected is_preconnected_univ trivial trivial
lemma eq_const [preconnected_space X] (f : locally_constant X Y) (x : X) :
f = const X (f x) :=
ext $ λ y, apply_eq_of_preconnected_space f _ _
lemma exists_eq_const [preconnected_space X] [nonempty Y] (f : locally_constant X Y) :
∃ y, f = const X y :=
begin
rcases classical.em (nonempty X) with ⟨⟨x⟩⟩|hX,
{ exact ⟨f x, f.eq_const x⟩ },
{ exact ⟨classical.arbitrary Y, ext $ λ x, (hX ⟨x⟩).elim⟩ }
end
/-- Push forward of locally constant maps under any map, by post-composition. -/
def map (f : Y → Z) : locally_constant X Y → locally_constant X Z :=
λ g, ⟨f ∘ g, λ s, by { rw set.preimage_comp, apply g.is_locally_constant }⟩
@[simp] lemma map_apply (f : Y → Z) (g : locally_constant X Y) : ⇑(map f g) = f ∘ g := rfl
@[simp] lemma map_id : @map X Y Y _ id = id := by { ext, refl }
@[simp] lemma map_comp {Y₁ Y₂ Y₃ : Type*} (g : Y₂ → Y₃) (f : Y₁ → Y₂) :
@map X _ _ _ g ∘ map f = map (g ∘ f) := by { ext, refl }
/-- Given a locally constant function to `α → β`, construct a family of locally constant
functions with values in β indexed by α. -/
def flip {X α β : Type*} [topological_space X] (f : locally_constant X (α → β)) (a : α) :
locally_constant X β := f.map (λ f, f a)
/-- If α is finite, this constructs a locally constant function to `α → β` given a
family of locally constant functions with values in β indexed by α. -/
def unflip {X α β : Type*} [fintype α] [topological_space X] (f : α → locally_constant X β) :
locally_constant X (α → β) :=
{ to_fun := λ x a, f a x,
is_locally_constant := begin
rw (is_locally_constant.tfae (λ x a, f a x)).out 0 3,
intros g,
have : (λ (x : X) (a : α), f a x) ⁻¹' {g} = ⋂ (a : α), (f a) ⁻¹' {g a}, by tidy,
rw this,
apply is_open_Inter,
intros a,
apply (f a).is_locally_constant,
end }
@[simp]
lemma unflip_flip {X α β : Type*} [fintype α] [topological_space X]
(f : locally_constant X (α → β)) : unflip f.flip = f := by { ext, refl }
@[simp]
lemma flip_unflip {X α β : Type*} [fintype α] [topological_space X]
(f : α → locally_constant X β) : (unflip f).flip = f := by { ext, refl }
section comap
open_locale classical
variables [topological_space Y]
/-- Pull back of locally constant maps under any map, by pre-composition.
This definition only makes sense if `f` is continuous,
in which case it sends locally constant functions to their precomposition with `f`.
See also `locally_constant.coe_comap`. -/
noncomputable
def comap (f : X → Y) :
locally_constant Y Z → locally_constant X Z :=
if hf : continuous f
then λ g, ⟨g ∘ f, g.is_locally_constant.comp_continuous hf⟩
else
begin
by_cases H : nonempty X,
{ introsI g, exact const X (g $ f $ classical.arbitrary X) },
{ intro g, refine ⟨λ x, (H ⟨x⟩).elim, _⟩,
intro s, rw is_open_iff_nhds, intro x, exact (H ⟨x⟩).elim }
end
@[simp] lemma coe_comap (f : X → Y) (g : locally_constant Y Z) (hf : continuous f) :
⇑(comap f g) = g ∘ f :=
by { rw [comap, dif_pos hf], refl }
@[simp] lemma comap_id : @comap X X Z _ _ id = id :=
by { ext, simp only [continuous_id, id.def, function.comp.right_id, coe_comap] }
lemma comap_comp [topological_space Z]
(f : X → Y) (g : Y → Z) (hf : continuous f) (hg : continuous g) :
@comap _ _ α _ _ f ∘ comap g = comap (g ∘ f) :=
by { ext, simp only [hf, hg, hg.comp hf, coe_comap] }
lemma comap_const (f : X → Y) (y : Y) (h : ∀ x, f x = y) :
(comap f : locally_constant Y Z → locally_constant X Z) =
λ g, ⟨λ x, g y, is_locally_constant.const _⟩ :=
begin
ext, rw coe_comap,
{ simp only [h, coe_mk, function.comp_app] },
{ rw show f = λ x, y, by ext; apply h,
exact continuous_const }
end
end comap
section desc
/-- If a locally constant function factors through an injection, then it factors through a locally
constant function. -/
def desc {X α β : Type*} [topological_space X] {g : α → β} (f : X → α) (h : locally_constant X β)
(cond : g ∘ f = h) (inj : function.injective g) : locally_constant X α :=
{ to_fun := f,
is_locally_constant := is_locally_constant.desc _ g (by { rw cond, exact h.2 }) inj }
@[simp]
lemma coe_desc {X α β : Type*} [topological_space X] (f : X → α) (g : α → β)
(h : locally_constant X β) (cond : g ∘ f = h) (inj : function.injective g) :
⇑(desc f h cond inj) = f := rfl
end desc
end locally_constant
|
a3c893e15262b66ae4903840baf4c26d63368c8e | 7b02c598aa57070b4cf4fbfe2416d0479220187f | /homotopy/pushout.hlean | 0680f07f2bfec423a4ae142b394b884107ae6d2c | [
"Apache-2.0"
] | permissive | jdchristensen/Spectral | 50d4f0ddaea1484d215ef74be951da6549de221d | 6ded2b94d7ae07c4098d96a68f80a9cd3d433eb8 | refs/heads/master | 1,611,555,010,649 | 1,496,724,191,000 | 1,496,724,191,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 21,219 | hlean |
import algebra.exactness homotopy.cofiber homotopy.wedge
open eq function is_trunc sigma prod lift is_equiv equiv pointed sum unit bool cofiber
namespace pushout
section
variables {TL BL TR : Type*} {f : TL →* BL} {g : TL →* TR}
{TL' BL' TR' : Type*} {f' : TL' →* BL'} {g' : TL' →* TR'}
(tl : TL ≃ TL') (bl : BL ≃* BL') (tr : TR ≃ TR')
(fh : bl ∘ f ~ f' ∘ tl) (gh : tr ∘ g ~ g' ∘ tl)
definition ppushout_functor [constructor] (tl : TL → TL') (bl : BL →* BL') (tr : TR → TR')
(fh : bl ∘ f ~ f' ∘ tl) (gh : tr ∘ g ~ g' ∘ tl) : ppushout f g →* ppushout f' g' :=
begin
fconstructor,
{ exact pushout.functor tl bl tr fh gh },
{ exact ap inl (respect_pt bl) },
end
definition ppushout_pequiv (tl : TL ≃ TL') (bl : BL ≃* BL') (tr : TR ≃ TR')
(fh : bl ∘ f ~ f' ∘ tl) (gh : tr ∘ g ~ g' ∘ tl) : ppushout f g ≃* ppushout f' g' :=
pequiv_of_equiv (pushout.equiv _ _ _ _ tl bl tr fh gh) (ap inl (respect_pt bl))
end
/-
WIP: proving that satisfying the universal property of the pushout is equivalent to
being equivalent to the pushout
-/
universe variables u₁ u₂ u₃ u₄
variables {A : Type.{u₁}} {B : Type.{u₂}} {C : Type.{u₃}} {D D' : Type.{u₄}}
{f : A → B} {g : A → C} {h : B → D} {k : C → D} (p : h ∘ f ~ k ∘ g)
{h' : B → D'} {k' : C → D'} (p' : h' ∘ f ~ k' ∘ g)
-- (f : A → B) (g : A → C) (h : B → D) (k : C → D)
include p
definition is_pushout : Type :=
Π⦃X : Type.{max u₁ u₂ u₃ u₄}⦄ (h' : B → X) (k' : C → X) (p' : h' ∘ f ~ k' ∘ g),
is_contr (Σ(l : D → X) (v : l ∘ h ~ h' × l ∘ k ~ k'),
Πa, square (prod.pr1 v (f a)) (prod.pr2 v (g a)) (ap l (p a)) (p' a))
definition cocone [reducible] (X : Type) : Type :=
Σ(v : (B → X) × (C → X)), prod.pr1 v ∘ f ~ prod.pr2 v ∘ g
definition cocone_of_map [constructor] (X : Type) (l : D → X) : cocone p X :=
⟨(l ∘ h, l ∘ k), λa, ap l (p a)⟩
-- definition cocone_of_map (X : Type) (l : D → X) : Σ(h' : B → X) (k' : C → X),
-- h' ∘ f ~ k' ∘ g :=
-- ⟨l ∘ h, l ∘ k, λa, ap l (p a)⟩
omit p
definition is_pushout2 [reducible] : Type :=
Π(X : Type.{max u₁ u₂ u₃ u₄}), is_equiv (cocone_of_map p X)
section
open sigma.ops
protected definition inv_left (H : is_pushout2 p) {X : Type} (v : cocone p X) :
(cocone_of_map p X)⁻¹ᶠ v ∘ h ~ prod.pr1 v.1 :=
ap10 (ap prod.pr1 (right_inv (cocone_of_map p X) v)..1)
protected definition inv_right (H : is_pushout2 p) {X : Type} (v : cocone p X) :
(cocone_of_map p X)⁻¹ᶠ v ∘ k ~ prod.pr2 v.1 :=
ap10 (ap prod.pr2 (right_inv (cocone_of_map p X) v)..1)
end
section
local attribute is_pushout [reducible]
definition is_prop_is_pushout : is_prop (is_pushout p) :=
_
local attribute is_pushout2 [reducible]
definition is_prop_is_pushout2 : is_prop (is_pushout2 p) :=
_
end
definition ap_eq_apd10_ap {A B : Type} {C : B → Type} (f : A → Πb, C b) {a a' : A} (p : a = a') (b : B)
: ap (λa, f a b) p = apd10 (ap f p) b :=
by induction p; reflexivity
variables (f g)
definition is_pushout2_pushout : @is_pushout2 _ _ _ _ f g inl inr glue :=
λX, to_is_equiv (pushout_arrow_equiv f g X ⬝e assoc_equiv_prod _)
definition is_equiv_of_is_pushout2_simple [constructor] {A B C D : Type.{u₁}}
{f : A → B} {g : A → C} {h : B → D} {k : C → D} (p : h ∘ f ~ k ∘ g)
{h' : B → D'} {k' : C → D'} (p' : h' ∘ f ~ k' ∘ g)
(H : is_pushout2 p) : D ≃ pushout f g :=
begin
fapply equiv.MK,
{ exact (cocone_of_map p _)⁻¹ᶠ ⟨(inl, inr), glue⟩ },
{ exact pushout.elim h k p },
{ intro x, exact sorry
},
{ apply ap10,
apply eq_of_fn_eq_fn (equiv.mk _ (H D)),
fapply sigma_eq,
{ esimp, fapply prod_eq,
apply eq_of_homotopy, intro b,
exact ap (pushout.elim h k p) (pushout.inv_left p H ⟨(inl, inr), glue⟩ b),
apply eq_of_homotopy, intro c,
exact ap (pushout.elim h k p) (pushout.inv_right p H ⟨(inl, inr), glue⟩ c) },
{ apply pi.pi_pathover_constant, intro a,
apply eq_pathover,
refine !ap_eq_apd10_ap ⬝ph _ ⬝hp !ap_eq_apd10_ap⁻¹,
refine ap (λx, apd10 x _) (ap_compose (λx, x ∘ f) pr1 _ ⬝ ap02 _ !prod_eq_pr1) ⬝ph _
⬝hp ap (λx, apd10 x _) (ap_compose (λx, x ∘ g) pr2 _ ⬝ ap02 _ !prod_eq_pr2)⁻¹,
refine apd10 !apd10_ap_precompose_dependent a ⬝ph _ ⬝hp apd10 !apd10_ap_precompose_dependent⁻¹ a,
refine apd10 !apd10_eq_of_homotopy (f a) ⬝ph _ ⬝hp apd10 !apd10_eq_of_homotopy⁻¹ (g a),
refine ap_compose (pushout.elim h k p) _ _ ⬝pv _,
refine aps (pushout.elim h k p) _ ⬝vp (!elim_glue ⬝ !ap_id⁻¹),
esimp, exact sorry
},
}
end
-- definition is_equiv_of_is_pushout2 [constructor] (H : is_pushout2 p) : D ≃ pushout f g :=
-- begin
-- fapply equiv.MK,
-- { exact down.{_ u₄} ∘ (cocone_of_map p _)⁻¹ᶠ ⟨(up ∘ inl, up ∘ inr), λa, ap up (glue a)⟩ },
-- { exact pushout.elim h k p },
-- { intro x, exact sorry
-- },
-- { intro d, apply eq_of_fn_eq_fn (equiv_lift D), esimp, revert d,
-- apply ap10,
-- apply eq_of_fn_eq_fn (equiv.mk _ (H (lift.{_ (max u₁ u₂ u₃)} D))),
-- fapply sigma_eq,
-- { esimp, fapply prod_eq,
-- apply eq_of_homotopy, intro b, apply ap up, esimp,
-- exact ap (pushout.elim h k p ∘ down.{_ u₄})
-- (pushout.inv_left p H ⟨(up ∘ inl, up ∘ inr), λa, ap up (glue a)⟩ b),
-- exact sorry },
-- { exact sorry },
-- -- note q := @eq_of_is_contr _ H''
-- -- ⟨up ∘ pushout.elim h k p ∘ down ∘ (center' H').1,
-- -- (λb, ap (up ∘ pushout.elim h k p ∘ down) (prod.pr1 (center' H').2 b),
-- -- λc, ap (up ∘ pushout.elim h k p ∘ down) (prod.pr2 (center' H').2 c))⟩
-- -- ⟨up, (λx, idp, λx, idp)⟩,
-- -- exact ap down (ap10 q..1 d)
-- }
-- end
/- composing pushouts -/
definition pushout_vcompose_to [unfold 8] {A B C D : Type} {f : A → B} {g : A → C} {h : B → D}
(x : pushout h (@inl _ _ _ f g)) : pushout (h ∘ f) g :=
begin
induction x with d y b,
{ exact inl d },
{ induction y with b c a,
{ exact inl (h b) },
{ exact inr c },
{ exact glue a }},
{ reflexivity }
end
definition pushout_vcompose_from [unfold 8] {A B C D : Type} {f : A → B} {g : A → C} {h : B → D}
(x : pushout (h ∘ f) g) : pushout h (@inl _ _ _ f g) :=
begin
induction x with d c a,
{ exact inl d },
{ exact inr (inr c) },
{ exact glue (f a) ⬝ ap inr (glue a) }
end
definition pushout_vcompose [constructor] {A B C D : Type} (f : A → B) (g : A → C) (h : B → D) :
pushout h (@inl _ _ _ f g) ≃ pushout (h ∘ f) g :=
begin
fapply equiv.MK,
{ exact pushout_vcompose_to },
{ exact pushout_vcompose_from },
{ intro x, induction x with d c a,
{ reflexivity },
{ reflexivity },
{ apply eq_pathover_id_right, apply hdeg_square,
refine ap_compose pushout_vcompose_to _ _ ⬝ ap02 _ !elim_glue ⬝ _,
refine !ap_con ⬝ !elim_glue ◾ !ap_compose'⁻¹ ⬝ !idp_con ⬝ _, esimp, apply elim_glue }},
{ intro x, induction x with d y b,
{ reflexivity },
{ induction y with b c a,
{ exact glue b },
{ reflexivity },
{ apply eq_pathover, refine ap_compose pushout_vcompose_from _ _ ⬝ph _,
esimp, refine ap02 _ !elim_glue ⬝ !elim_glue ⬝ph _, apply square_of_eq, reflexivity }},
{ apply eq_pathover_id_right, esimp,
refine ap_compose pushout_vcompose_from _ _ ⬝ ap02 _ !elim_glue ⬝ph _, apply square_of_eq,
reflexivity }}
end
definition pushout_hcompose {A B C D : Type} (f : A → B) (g : A → C) (h : C → D) :
pushout (@inr _ _ _ f g) h ≃ pushout f (h ∘ g) :=
calc
pushout (@inr _ _ _ f g) h ≃ pushout h (@inr _ _ _ f g) : pushout.symm
... ≃ pushout h (@inl _ _ _ g f) :
pushout.equiv _ _ _ _ erfl erfl (pushout.symm f g) (λa, idp) (λa, idp)
... ≃ pushout (h ∘ g) f : pushout_vcompose
... ≃ pushout f (h ∘ g) : pushout.symm
definition pushout_vcompose_equiv {A B C D E : Type} (f : A → B) {g : A → C} {h : B → D}
{hf : A → D} {k : B → E} (e : E ≃ pushout f g) (p : k ~ e⁻¹ᵉ ∘ inl) (q : h ∘ f ~ hf) :
pushout h k ≃ pushout hf g :=
begin
refine _ ⬝e pushout_vcompose f g h ⬝e _,
{ fapply pushout.equiv,
reflexivity,
reflexivity,
exact e,
reflexivity,
exact homotopy_of_homotopy_inv_post e _ _ p },
{ fapply pushout.equiv,
reflexivity,
reflexivity,
reflexivity,
exact q,
reflexivity },
end
definition pushout_hcompose_equiv {A B C D E : Type} {f : A → B} (g : A → C) {h : C → E}
{hg : A → E} {k : C → D} (e : D ≃ pushout f g) (p : k ~ e⁻¹ᵉ ∘ inr) (q : h ∘ g ~ hg) :
pushout k h ≃ pushout f hg :=
calc
pushout k h ≃ pushout h k : pushout.symm
... ≃ pushout hg f : by exact pushout_vcompose_equiv _ (e ⬝e pushout.symm f g) p q
... ≃ pushout f hg : pushout.symm
definition pushout_of_equiv_left_to [unfold 6] {A B C : Type} {f : A ≃ B} {g : A → C}
(x : pushout f g) : C :=
begin
induction x with b c a,
{ exact g (f⁻¹ b) },
{ exact c },
{ exact ap g (left_inv f a) }
end
definition pushout_of_equiv_left [constructor] {A B C : Type} (f : A ≃ B) (g : A → C) :
pushout f g ≃ C :=
begin
fapply equiv.MK,
{ exact pushout_of_equiv_left_to },
{ exact inr },
{ intro c, reflexivity },
{ intro x, induction x with b c a,
{ exact (glue (f⁻¹ b))⁻¹ ⬝ ap inl (right_inv f b) },
{ reflexivity },
{ apply eq_pathover_id_right, refine ap_compose inr _ _ ⬝ ap02 _ !elim_glue ⬝ph _,
apply move_top_of_left, apply move_left_of_bot,
refine ap02 _ (adj f _) ⬝ !ap_compose⁻¹ ⬝pv _ ⬝vp !ap_compose,
apply natural_square_tr }}
end
definition pushout_of_equiv_right [constructor] {A B C : Type} (f : A → B) (g : A ≃ C) :
pushout f g ≃ B :=
calc
pushout f g ≃ pushout g f : pushout.symm f g
... ≃ B : pushout_of_equiv_left g f
/- pushout where one map is constant is a cofiber -/
definition pushout_const_equiv_to [unfold 6] {A B C : Type} {f : A → B} {c₀ : C}
(x : pushout f (const A c₀)) : cofiber (sum_functor f (const unit c₀)) :=
begin
induction x with b c a,
{ exact !cod (sum.inl b) },
{ exact !cod (sum.inr c) },
{ exact glue (sum.inl a) ⬝ (glue (sum.inr ⋆))⁻¹ }
end
definition pushout_const_equiv_from [unfold 6] {A B C : Type} {f : A → B} {c₀ : C}
(x : cofiber (sum_functor f (const unit c₀))) : pushout f (const A c₀) :=
begin
induction x with v v,
{ induction v with b c, exact inl b, exact inr c },
{ exact inr c₀ },
{ induction v with a u, exact glue a, reflexivity }
end
definition pushout_const_equiv [constructor] {A B C : Type} (f : A → B) (c₀ : C) :
pushout f (const A c₀) ≃ cofiber (sum_functor f (const unit c₀)) :=
begin
fapply equiv.MK,
{ exact pushout_const_equiv_to },
{ exact pushout_const_equiv_from },
{ intro x, induction x with v v,
{ induction v with b c, reflexivity, reflexivity },
{ exact glue (sum.inr ⋆) },
{ apply eq_pathover_id_right,
refine ap_compose pushout_const_equiv_to _ _ ⬝ ap02 _ !elim_glue ⬝ph _,
induction v with a u,
{ refine !elim_glue ⬝ph _, apply whisker_bl, exact hrfl },
{ induction u, exact square_of_eq idp }}},
{ intro x, induction x with c b a,
{ reflexivity },
{ reflexivity },
{ apply eq_pathover_id_right, apply hdeg_square,
refine ap_compose pushout_const_equiv_from _ _ ⬝ ap02 _ !elim_glue ⬝ _,
refine !ap_con ⬝ !elim_glue ◾ (!ap_inv ⬝ !elim_glue⁻²) }}
end
/- wedge is the cofiber of the map 2 -> A + B -/
-- move to sum
definition sum_of_bool [unfold 3] (A B : Type*) (b : bool) : A + B :=
by induction b; exact sum.inl pt; exact sum.inr pt
definition psum_of_pbool [constructor] (A B : Type*) : pbool →* (A +* B) :=
pmap.mk (sum_of_bool A B) idp
-- move to wedge
definition wedge_equiv_pushout_sum [constructor] (A B : Type*) :
wedge A B ≃ cofiber (sum_of_bool A B) :=
begin
refine pushout_const_equiv _ _ ⬝e _,
fapply pushout.equiv,
exact bool_equiv_unit_sum_unit⁻¹ᵉ,
reflexivity,
reflexivity,
intro x, induction x: reflexivity,
intro x, induction x with u u: induction u; reflexivity
end
section
open prod.ops
/- products preserve pushouts -/
definition pushout_prod_equiv_to [unfold 7] {A B C D : Type} {f : A → B} {g : A → C}
(xd : pushout f g × D) : pushout (prod_functor f (@id D)) (prod_functor g id) :=
begin
induction xd with x d, induction x with b c a,
{ exact inl (b, d) },
{ exact inr (c, d) },
{ exact glue (a, d) }
end
definition pushout_prod_equiv_from [unfold 7] {A B C D : Type} {f : A → B} {g : A → C}
(x : pushout (prod_functor f (@id D)) (prod_functor g id)) : pushout f g × D :=
begin
induction x with bd cd ad,
{ exact (inl bd.1, bd.2) },
{ exact (inr cd.1, cd.2) },
{ exact prod_eq (glue ad.1) idp }
end
definition pushout_prod_equiv {A B C D : Type} (f : A → B) (g : A → C) :
pushout f g × D ≃ pushout (prod_functor f (@id D)) (prod_functor g id) :=
begin
fapply equiv.MK,
{ exact pushout_prod_equiv_to },
{ exact pushout_prod_equiv_from },
{ intro x, induction x with bd cd ad,
{ induction bd, reflexivity },
{ induction cd, reflexivity },
{ induction ad with a d, apply eq_pathover_id_right, apply hdeg_square,
refine ap_compose pushout_prod_equiv_to _ _ ⬝ ap02 _ !elim_glue ⬝ _, esimp,
exact !ap_prod_elim ⬝ !idp_con ⬝ !elim_glue }},
{ intro xd, induction xd with x d, induction x with b c a,
{ reflexivity },
{ reflexivity },
{ apply eq_pathover, apply hdeg_square,
refine ap_compose (pushout_prod_equiv_from ∘ pushout_prod_equiv_to) _ _ ⬝ _,
refine ap02 _ !ap_prod_mk_left ⬝ !ap_compose ⬝ _,
refine ap02 _ (!ap_prod_elim ⬝ !idp_con ⬝ !elim_glue) ⬝ _,
refine !elim_glue ⬝ !ap_prod_mk_left⁻¹ }}
end
end
/- interaction of pushout and sums -/
definition pushout_to_sum [unfold 8] {A B C : Type} {f : A → B} {g : A → C} (D : Type) (c₀ : C)
(x : pushout f g) : pushout (sum_functor f (@id D)) (sum.rec g (λd, c₀)) :=
begin
induction x with b c a,
{ exact inl (sum.inl b) },
{ exact inr c },
{ exact glue (sum.inl a) }
end
definition pushout_from_sum [unfold 8] {A B C : Type} {f : A → B} {g : A → C} (D : Type) (c₀ : C)
(x : pushout (sum_functor f (@id D)) (sum.rec g (λd, c₀))) : pushout f g :=
begin
induction x with x c x,
{ induction x with b d, exact inl b, exact inr c₀ },
{ exact inr c },
{ induction x with a d, exact glue a, reflexivity }
end
definition pushout_sum_equiv [constructor] {A B C : Type} (f : A → B) (g : A → C) (D : Type)
(c₀ : C) : pushout f g ≃ pushout (sum_functor f (@id D)) (sum.rec g (λd, c₀)) :=
begin
fapply equiv.MK,
{ exact pushout_to_sum D c₀ },
{ exact pushout_from_sum D c₀ },
{ intro x, induction x with x c x,
{ induction x with b d, reflexivity, esimp, exact (glue (sum.inr d))⁻¹ },
{ reflexivity },
{ apply eq_pathover_id_right,
refine ap_compose (pushout_to_sum D c₀) _ _ ⬝ ap02 _ !elim_glue ⬝ph _,
induction x with a d: esimp,
{ exact hdeg_square !elim_glue },
{ exact square_of_eq !con.left_inv }}},
{ intro x, induction x with b c a,
{ reflexivity },
{ reflexivity },
{ apply eq_pathover_id_right, apply hdeg_square,
refine ap_compose (pushout_from_sum D c₀) _ _ ⬝ ap02 _ !elim_glue ⬝ !elim_glue }}
end
/- an induction principle for the cofiber of f : A → B if A is a pushout where the second map has a section.
The Pgluer is modified to get the right coherence
See https://github.com/HoTT/HoTT-Agda/blob/master/theorems/homotopy/elims/CofPushoutSection.agda
-/
open sigma.ops
definition cofiber_pushout_helper' {A : Type} {B : A → Type} {a₀₀ a₀₂ a₂₀ a₂₂ : A} {p₀₁ : a₀₀ = a₀₂}
{p₁₀ : a₀₀ = a₂₀} {p₂₁ : a₂₀ = a₂₂} {p₁₂ : a₀₂ = a₂₂} {s : square p₀₁ p₂₁ p₁₀ p₁₂}
{b₀₀ : B a₀₀} {b₂₀ : B a₂₀} {b₀₂ : B a₀₂} {b₂₂ b₂₂' : B a₂₂} {q₁₀ : b₀₀ =[p₁₀] b₂₀}
{q₀₁ : b₀₀ =[p₀₁] b₀₂} {q₂₁ : b₂₀ =[p₂₁] b₂₂'} {q₁₂ : b₀₂ =[p₁₂] b₂₂} :
Σ(r : b₂₂' = b₂₂), squareover B s q₀₁ (r ▸ q₂₁) q₁₀ q₁₂ :=
begin
induction s,
induction q₀₁ using idp_rec_on,
induction q₂₁ using idp_rec_on,
induction q₁₀ using idp_rec_on,
induction q₁₂ using idp_rec_on,
exact ⟨idp, idso⟩
end
definition cofiber_pushout_helper {A B C D : Type} {f : A → B} {g : A → C} {h : pushout f g → D}
{P : cofiber h → Type} {Pcod : Πd, P (cofiber.cod h d)} {Pbase : P (cofiber.base h)}
(Pgluel : Π(b : B), Pcod (h (inl b)) =[cofiber.glue (inl b)] Pbase)
(Pgluer : Π(c : C), Pcod (h (inr c)) =[cofiber.glue (inr c)] Pbase)
(a : A) : Σ(p : Pbase = Pbase), squareover P (natural_square cofiber.glue (glue a))
(Pgluel (f a)) (p ▸ Pgluer (g a))
(pathover_ap P (λa, cofiber.cod h (h a)) (apd (λa, Pcod (h a)) (glue a)))
(pathover_ap P (λa, cofiber.base h) (apd (λa, Pbase) (glue a))) :=
!cofiber_pushout_helper'
definition cofiber_pushout_rec {A B C D : Type} {f : A → B} {g : A → C} {h : pushout f g → D}
{P : cofiber h → Type} (Pcod : Πd, P (cofiber.cod h d)) (Pbase : P (cofiber.base h))
(Pgluel : Π(b : B), Pcod (h (inl b)) =[cofiber.glue (inl b)] Pbase)
(Pgluer : Π(c : C), Pcod (h (inr c)) =[cofiber.glue (inr c)] Pbase)
(r : C → A) (p : Πa, r (g a) = a)
(x : cofiber h) : P x :=
begin
induction x with d x,
{ exact Pcod d },
{ exact Pbase },
{ induction x with b c a,
{ exact Pgluel b },
{ exact (cofiber_pushout_helper Pgluel Pgluer (r c)).1 ▸ Pgluer c },
{ apply pathover_pathover, rewrite [p a], exact (cofiber_pushout_helper Pgluel Pgluer a).2 }}
end
/- universal property of cofiber -/
definition cofiber_exact_1 {X Y Z : Type*} (f : X →* Y) (g : pcofiber f →* Z) :
(g ∘* pcod f) ∘* f ~* pconst X Z :=
!passoc ⬝* pwhisker_left _ !pcod_pcompose ⬝* !pcompose_pconst
protected definition pcofiber.elim [constructor] {X Y Z : Type*} {f : X →* Y} (g : Y →* Z)
(p : g ∘* f ~* pconst X Z) : pcofiber f →* Z :=
begin
fapply pmap.mk,
{ intro w, induction w with y x, exact g y, exact pt, exact p x },
{ reflexivity }
end
protected definition pcofiber.elim_pcod {X Y Z : Type*} {f : X →* Y} {g : Y →* Z}
(p : g ∘* f ~* pconst X Z) : pcofiber.elim g p ∘* pcod f ~* g :=
begin
fapply phomotopy.mk,
{ intro y, reflexivity },
{ esimp, refine !idp_con ⬝ _,
refine _ ⬝ (!ap_con ⬝ (!ap_compose'⁻¹ ⬝ !ap_inv) ◾ !elim_glue)⁻¹,
apply eq_inv_con_of_con_eq, exact (to_homotopy_pt p)⁻¹ }
end
definition cofiber_exact {X Y Z : Type*} (f : X →* Y) :
is_exact_t (@ppcompose_right _ _ Z (pcod f)) (ppcompose_right f) :=
begin
constructor,
{ intro g, apply eq_of_phomotopy, apply cofiber_exact_1 },
{ intro g p, note q := phomotopy_of_eq p,
exact fiber.mk (pcofiber.elim g q) (eq_of_phomotopy (pcofiber.elim_pcod q)) }
end
/- cofiber of pcod is suspension -/
definition pcofiber_pcod {A B : Type*} (f : A →* B) : pcofiber (pcod f) ≃* psusp A :=
begin
fapply pequiv_of_equiv,
{ refine !pushout.symm ⬝e _,
exact pushout_vcompose_equiv f equiv.rfl homotopy.rfl homotopy.rfl },
reflexivity
end
-- definition pushout_vcompose [constructor] {A B C D : Type} (f : A → B) (g : A → C) (h : B → D) :
-- pushout h (@inl _ _ _ f g) ≃ pushout (h ∘ f) g :=
-- definition pushout_hcompose {A B C D : Type} (f : A → B) (g : A → C) (h : C → D) :
-- pushout (@inr _ _ _ f g) h ≃ pushout f (h ∘ g) :=
-- definition pushout_vcompose_equiv {A B C D E : Type} (f : A → B) {g : A → C} {h : B → D}
-- {hf : A → D} {k : B → E} (e : E ≃ pushout f g) (p : k ~ e⁻¹ᵉ ∘ inl) (q : h ∘ f ~ hf) :
-- pushout h k ≃ pushout hf g :=
end pushout
|
949b622cdbbe9f4d752f4ef15a256fa387138ad7 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/data/nat/fib.lean | 9c562beb944553c2cade2d05002ee02d5ebf2f89 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 13,085 | lean | /-
Copyright (c) 2019 Kevin Kappelmann. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Kappelmann, Kyle Miller, Mario Carneiro
-/
import data.nat.gcd.basic
import logic.function.iterate
import data.finset.nat_antidiagonal
import algebra.big_operators.basic
import tactic.ring
import tactic.zify
import tactic.wlog
/-!
# The Fibonacci Sequence
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
## Summary
Definition of the Fibonacci sequence `F₀ = 0, F₁ = 1, Fₙ₊₂ = Fₙ + Fₙ₊₁`.
## Main Definitions
- `nat.fib` returns the stream of Fibonacci numbers.
## Main Statements
- `nat.fib_add_two`: shows that `fib` indeed satisfies the Fibonacci recurrence `Fₙ₊₂ = Fₙ + Fₙ₊₁.`.
- `nat.fib_gcd`: `fib n` is a strong divisibility sequence.
- `nat.fib_succ_eq_sum_choose`: `fib` is given by the sum of `nat.choose` along an antidiagonal.
- `nat.fib_succ_eq_succ_sum`: shows that `F₀ + F₁ + ⋯ + Fₙ = Fₙ₊₂ - 1`.
- `nat.fib_two_mul` and `nat.fib_two_mul_add_one` are the basis for an efficient algorithm to
compute `fib` (see `nat.fast_fib`). There are `bit0`/`bit1` variants of these can be used to
simplify `fib` expressions: `simp only [nat.fib_bit0, nat.fib_bit1, nat.fib_bit0_succ,
nat.fib_bit1_succ, nat.fib_one, nat.fib_two]`.
## Implementation Notes
For efficiency purposes, the sequence is defined using `stream.iterate`.
## Tags
fib, fibonacci
-/
open_locale big_operators
namespace nat
/--
Implementation of the fibonacci sequence satisfying
`fib 0 = 0, fib 1 = 1, fib (n + 2) = fib n + fib (n + 1)`.
*Note:* We use a stream iterator for better performance when compared to the naive recursive
implementation.
-/
@[pp_nodot]
def fib (n : ℕ) : ℕ := ((λ p : ℕ × ℕ, (p.snd, p.fst + p.snd))^[n] (0, 1)).fst
@[simp] lemma fib_zero : fib 0 = 0 := rfl
@[simp] lemma fib_one : fib 1 = 1 := rfl
@[simp] lemma fib_two : fib 2 = 1 := rfl
/-- Shows that `fib` indeed satisfies the Fibonacci recurrence `Fₙ₊₂ = Fₙ + Fₙ₊₁.` -/
lemma fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) :=
by simp only [fib, function.iterate_succ']
lemma fib_le_fib_succ {n : ℕ} : fib n ≤ fib (n + 1) := by { cases n; simp [fib_add_two] }
@[mono] lemma fib_mono : monotone fib :=
monotone_nat_of_le_succ $ λ _, fib_le_fib_succ
lemma fib_pos {n : ℕ} (n_pos : 0 < n) : 0 < fib n :=
calc 0 < fib 1 : dec_trivial
... ≤ fib n : fib_mono n_pos
lemma fib_add_two_sub_fib_add_one {n : ℕ} : fib (n + 2) - fib (n + 1) = fib n :=
by rw [fib_add_two, add_tsub_cancel_right]
lemma fib_lt_fib_succ {n : ℕ} (hn : 2 ≤ n) : fib n < fib (n + 1) :=
begin
rcases exists_add_of_le hn with ⟨n, rfl⟩,
rw [← tsub_pos_iff_lt, add_comm 2, fib_add_two_sub_fib_add_one],
apply fib_pos (succ_pos n),
end
/-- `fib (n + 2)` is strictly monotone. -/
lemma fib_add_two_strict_mono : strict_mono (λ n, fib (n + 2)) :=
begin
refine strict_mono_nat_of_lt_succ (λ n, _),
rw add_right_comm,
exact fib_lt_fib_succ (self_le_add_left _ _)
end
lemma le_fib_self {n : ℕ} (five_le_n : 5 ≤ n) : n ≤ fib n :=
begin
induction five_le_n with n five_le_n IH,
{ -- 5 ≤ fib 5
refl },
{ -- n + 1 ≤ fib (n + 1) for 5 ≤ n
rw succ_le_iff,
calc n ≤ fib n : IH
... < fib (n + 1) : fib_lt_fib_succ (le_trans dec_trivial five_le_n) }
end
/-- Subsequent Fibonacci numbers are coprime,
see https://proofwiki.org/wiki/Consecutive_Fibonacci_Numbers_are_Coprime -/
lemma fib_coprime_fib_succ (n : ℕ) : nat.coprime (fib n) (fib (n + 1)) :=
begin
induction n with n ih,
{ simp },
{ rw [fib_add_two, coprime_add_self_right],
exact ih.symm }
end
/-- See https://proofwiki.org/wiki/Fibonacci_Number_in_terms_of_Smaller_Fibonacci_Numbers -/
lemma fib_add (m n : ℕ) :
fib (m + n + 1) = fib m * fib n + fib (m + 1) * fib (n + 1) :=
begin
induction n with n ih generalizing m,
{ simp },
{ intros,
specialize ih (m + 1),
rw [add_assoc m 1 n, add_comm 1 n] at ih,
simp only [fib_add_two, ih],
ring, }
end
lemma fib_two_mul (n : ℕ) : fib (2 * n) = fib n * (2 * fib (n + 1) - fib n) :=
begin
cases n,
{ simp },
{ rw [nat.succ_eq_add_one, two_mul, ←add_assoc, fib_add, fib_add_two, two_mul],
simp only [← add_assoc, add_tsub_cancel_right],
ring, },
end
lemma fib_two_mul_add_one (n : ℕ) : fib (2 * n + 1) = fib (n + 1) ^ 2 + fib n ^ 2 :=
by { rw [two_mul, fib_add], ring }
lemma fib_bit0 (n : ℕ) : fib (bit0 n) = fib n * (2 * fib (n + 1) - fib n) :=
by rw [bit0_eq_two_mul, fib_two_mul]
lemma fib_bit1 (n : ℕ) : fib (bit1 n) = fib (n + 1) ^ 2 + fib n ^ 2 :=
by rw [nat.bit1_eq_succ_bit0, bit0_eq_two_mul, fib_two_mul_add_one]
lemma fib_bit0_succ (n : ℕ) : fib (bit0 n + 1) = fib (n + 1) ^ 2 + fib n ^ 2 := fib_bit1 n
lemma fib_bit1_succ (n : ℕ) : fib (bit1 n + 1) = fib (n + 1) * (2 * fib n + fib (n + 1)) :=
begin
rw [nat.bit1_eq_succ_bit0, fib_add_two, fib_bit0, fib_bit0_succ],
have : fib n ≤ 2 * fib (n + 1),
{ rw two_mul,
exact le_add_left fib_le_fib_succ, },
zify,
ring,
end
/-- Computes `(nat.fib n, nat.fib (n + 1))` using the binary representation of `n`.
Supports `nat.fast_fib`. -/
def fast_fib_aux : ℕ → ℕ × ℕ :=
nat.binary_rec (fib 0, fib 1) (λ b n p,
if b
then (p.2^2 + p.1^2, p.2 * (2 * p.1 + p.2))
else (p.1 * (2 * p.2 - p.1), p.2^2 + p.1^2))
/-- Computes `nat.fib n` using the binary representation of `n`.
Proved to be equal to `nat.fib` in `nat.fast_fib_eq`. -/
def fast_fib (n : ℕ) : ℕ := (fast_fib_aux n).1
lemma fast_fib_aux_bit_ff (n : ℕ) :
fast_fib_aux (bit ff n) = let p := fast_fib_aux n in (p.1 * (2 * p.2 - p.1), p.2^2 + p.1^2) :=
begin
rw [fast_fib_aux, binary_rec_eq],
{ refl },
{ simp },
end
lemma fast_fib_aux_bit_tt (n : ℕ) :
fast_fib_aux (bit tt n) = let p := fast_fib_aux n in (p.2^2 + p.1^2, p.2 * (2 * p.1 + p.2)) :=
begin
rw [fast_fib_aux, binary_rec_eq],
{ refl },
{ simp },
end
lemma fast_fib_aux_eq (n : ℕ) :
fast_fib_aux n = (fib n, fib (n + 1)) :=
begin
apply nat.binary_rec _ (λ b n' ih, _) n,
{ simp [fast_fib_aux] },
{ cases b; simp only [fast_fib_aux_bit_ff, fast_fib_aux_bit_tt,
congr_arg prod.fst ih, congr_arg prod.snd ih, prod.mk.inj_iff]; split;
simp [bit, fib_bit0, fib_bit1, fib_bit0_succ, fib_bit1_succ], },
end
lemma fast_fib_eq (n : ℕ) : fast_fib n = fib n :=
by rw [fast_fib, fast_fib_aux_eq]
lemma gcd_fib_add_self (m n : ℕ) : gcd (fib m) (fib (n + m)) = gcd (fib m) (fib n) :=
begin
cases nat.eq_zero_or_pos n,
{ rw h, simp },
replace h := nat.succ_pred_eq_of_pos h, rw [← h, succ_eq_add_one],
calc gcd (fib m) (fib (n.pred + 1 + m))
= gcd (fib m) (fib (n.pred) * (fib m) + fib (n.pred + 1) * fib (m + 1)) :
by { rw ← fib_add n.pred _, ring_nf }
... = gcd (fib m) (fib (n.pred + 1) * fib (m + 1)) :
by rw [add_comm, gcd_add_mul_right_right (fib m) _ (fib (n.pred))]
... = gcd (fib m) (fib (n.pred + 1)) :
coprime.gcd_mul_right_cancel_right
(fib (n.pred + 1)) (coprime.symm (fib_coprime_fib_succ m))
end
lemma gcd_fib_add_mul_self (m n : ℕ) : ∀ k, gcd (fib m) (fib (n + k * m)) = gcd (fib m) (fib n)
| 0 := by simp
| (k+1) := by rw [← gcd_fib_add_mul_self k, add_mul, ← add_assoc, one_mul, gcd_fib_add_self _ _]
/-- `fib n` is a strong divisibility sequence,
see https://proofwiki.org/wiki/GCD_of_Fibonacci_Numbers -/
lemma fib_gcd (m n : ℕ) : fib (gcd m n) = gcd (fib m) (fib n) :=
begin
wlog h : m ≤ n, { simpa only [gcd_comm] using this _ _ (le_of_not_le h) },
apply gcd.induction m n,
{ simp },
intros m n mpos h,
rw ← gcd_rec m n at h,
conv_rhs { rw ← mod_add_div' n m },
rwa [gcd_fib_add_mul_self m (n % m) (n / m), gcd_comm (fib m) _]
end
lemma fib_dvd (m n : ℕ) (h : m ∣ n) : fib m ∣ fib n :=
by rwa [gcd_eq_left_iff_dvd, ← fib_gcd, gcd_eq_left_iff_dvd.mp]
lemma fib_succ_eq_sum_choose :
∀ (n : ℕ), fib (n + 1) = ∑ p in finset.nat.antidiagonal n, choose p.1 p.2 :=
two_step_induction rfl rfl (λ n h1 h2, by
{ rw [fib_add_two, h1, h2, finset.nat.antidiagonal_succ_succ', finset.nat.antidiagonal_succ'],
simp [choose_succ_succ, finset.sum_add_distrib, add_left_comm] })
lemma fib_succ_eq_succ_sum (n : ℕ):
fib (n + 1) = (∑ k in finset.range n, fib k) + 1 :=
begin
induction n with n ih,
{ simp },
{ calc fib (n + 2) = fib n + fib (n + 1) : fib_add_two
... = fib n + (∑ k in finset.range n, fib k) + 1 : by rw [ih, add_assoc]
... = (∑ k in finset.range (n + 1), fib k) + 1 : by simp [finset.range_add_one] }
end
end nat
namespace norm_num
open tactic nat
/-! ### `norm_num` plugin for `fib`
The `norm_num` plugin uses a strategy parallel to that of `nat.fast_fib`, but it instead
produces proofs of what `nat.fib` evaluates to.
-/
/-- Auxiliary definition for `prove_fib` plugin. -/
def is_fib_aux (n a b : ℕ) := fib n = a ∧ fib (n + 1) = b
lemma is_fib_aux_one : is_fib_aux 1 1 1 := ⟨fib_one, fib_two⟩
lemma is_fib_aux_bit0 {n a b c a2 b2 a' b' : ℕ} (H : is_fib_aux n a b)
(h1 : a + c = bit0 b) (h2 : a * c = a')
(h3 : a * a = a2) (h4 : b * b = b2) (h5 : a2 + b2 = b') :
is_fib_aux (bit0 n) a' b' :=
⟨by rw [fib_bit0, H.1, H.2, ← bit0_eq_two_mul,
show bit0 b-a=c, by rw [← h1, nat.add_sub_cancel_left], h2],
by rw [fib_bit0_succ, H.1, H.2, pow_two, pow_two, h3, h4, add_comm, h5]⟩
lemma is_fib_aux_bit1 {n a b c a2 b2 a' b' : ℕ} (H : is_fib_aux n a b)
(h1 : a * a = a2) (h2 : b * b = b2) (h3 : a2 + b2 = a')
(h4 : bit0 a + b = c) (h5 : b * c = b') :
is_fib_aux (bit1 n) a' b' :=
⟨by rw [fib_bit1, H.1, H.2, pow_two, pow_two, h1, h2, add_comm, h3],
by rw [fib_bit1_succ, H.1, H.2, ← bit0_eq_two_mul, h4, h5]⟩
lemma is_fib_aux_bit0_done {n a b c a' : ℕ} (H : is_fib_aux n a b)
(h1 : a + c = bit0 b) (h2 : a * c = a') : fib (bit0 n) = a' :=
(is_fib_aux_bit0 H h1 h2 rfl rfl rfl).1
lemma is_fib_aux_bit1_done {n a b a2 b2 a' : ℕ} (H : is_fib_aux n a b)
(h1 : a * a = a2) (h2 : b * b = b2) (h3 : a2 + b2 = a') : fib (bit1 n) = a' :=
(is_fib_aux_bit1 H h1 h2 h3 rfl rfl).1
/-- `prove_fib_aux ic n` returns `(ic', a, b, ⊢ is_fib_aux n a b)`, where `n` is a numeral. -/
meta def prove_fib_aux (ic : instance_cache) :
expr → tactic (instance_cache × expr × expr × expr)
| e :=
match match_numeral e with
| match_numeral_result.one := pure (ic, `(1:ℕ), `(1:ℕ), `(is_fib_aux_one))
| match_numeral_result.bit0 e := do
(ic, a, b, H) ← prove_fib_aux e,
na ← a.to_nat, nb ← b.to_nat,
(ic, c) ← ic.of_nat (2*nb - na),
(ic, h1) ← prove_add_nat ic a c (`(bit0:ℕ→ℕ).mk_app [b]),
(ic, a', h2) ← prove_mul_nat ic a c,
(ic, a2, h3) ← prove_mul_nat ic a a,
(ic, b2, h4) ← prove_mul_nat ic b b,
(ic, b', h5) ← prove_add_nat' ic a2 b2,
pure (ic, a', b', `(@is_fib_aux_bit0).mk_app
[e, a, b, c, a2, b2, a', b', H, h1, h2, h3, h4, h5])
| match_numeral_result.bit1 e := do
(ic, a, b, H) ← prove_fib_aux e,
na ← a.to_nat, nb ← b.to_nat,
(ic, c) ← ic.of_nat (2*na + nb),
(ic, a2, h1) ← prove_mul_nat ic a a,
(ic, b2, h2) ← prove_mul_nat ic b b,
(ic, a', h3) ← prove_add_nat' ic a2 b2,
(ic, h4) ← prove_add_nat ic (`(bit0:ℕ→ℕ).mk_app [a]) b c,
(ic, b', h5) ← prove_mul_nat ic b c,
pure (ic, a', b', `(@is_fib_aux_bit1).mk_app
[e, a, b, c, a2, b2, a', b', H, h1, h2, h3, h4, h5])
| _ := failed
end
/-- A `norm_num` plugin for `fib n` when `n` is a numeral.
Uses the binary representation of `n` like `nat.fast_fib`. -/
meta def prove_fib (ic : instance_cache) (e : expr) : tactic (instance_cache × expr × expr) :=
match match_numeral e with
| match_numeral_result.zero := pure (ic, `(0:ℕ), `(fib_zero))
| match_numeral_result.one := pure (ic, `(1:ℕ), `(fib_one))
| match_numeral_result.bit0 e := do
(ic, a, b, H) ← prove_fib_aux ic e,
na ← a.to_nat, nb ← b.to_nat,
(ic, c) ← ic.of_nat (2*nb - na),
(ic, h1) ← prove_add_nat ic a c (`(bit0:ℕ→ℕ).mk_app [b]),
(ic, a', h2) ← prove_mul_nat ic a c,
pure (ic, a', `(@is_fib_aux_bit0_done).mk_app [e, a, b, c, a', H, h1, h2])
| match_numeral_result.bit1 e := do
(ic, a, b, H) ← prove_fib_aux ic e,
(ic, a2, h1) ← prove_mul_nat ic a a,
(ic, b2, h2) ← prove_mul_nat ic b b,
(ic, a', h3) ← prove_add_nat' ic a2 b2,
pure (ic, a', `(@is_fib_aux_bit1_done).mk_app [e, a, b, a2, b2, a', H, h1, h2, h3])
| _ := failed
end
/-- A `norm_num` plugin for `fib n` when `n` is a numeral.
Uses the binary representation of `n` like `nat.fast_fib`. -/
@[norm_num] meta def eval_fib : expr → tactic (expr × expr)
| `(fib %%en) := do
n ← en.to_nat,
match n with
| 0 := pure (`(0:ℕ), `(fib_zero))
| 1 := pure (`(1:ℕ), `(fib_one))
| 2 := pure (`(1:ℕ), `(fib_two))
| _ := do
c ← mk_instance_cache `(ℕ),
prod.snd <$> prove_fib c en
end
| _ := failed
end norm_num
|
329af04b60ffb4985fa843b9ca2b78a86fb264bc | e07b1aca72e83a272dd59d24c6e0fa246034d774 | /src/surreal/pts.lean | 2d19717e130764660f7fd2879ec4ae6057c9217f | [] | no_license | pedrominicz/learn | 637a343bd4f8669d76819ac660a2d2d3e0958710 | b79b802a9846c86c21d4b6f3e17af36e7382f0ef | refs/heads/master | 1,671,746,990,402 | 1,670,778,113,000 | 1,670,778,113,000 | 265,735,177 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,322 | lean | import tactic.basic
-- Lean version 3.45.0
section
parameters (C : Type) [decidable_eq C]
inductive term : Type
| var : ℕ → term
| const : C → term
| app : term → term → term
| lam : term → term → term
| pi : term → term → term
instance : decidable_eq term :=
begin
intros a a',
induction a with x c f a ih₁ ih₂ A b ih₁ ih₂ A B ih₁ ih₂ generalizing a',
{ cases a' with x'; try { apply is_false, intro h, cases h, done },
by_cases h : x = x',
{ subst h,
exact is_true rfl },
{ apply is_false,
intro h',
cases h',
exact h rfl } },
{ cases a' with _ c'; try { apply is_false, intro h, cases h, done },
by_cases h : c = c',
{ subst h,
exact is_true rfl },
{ apply is_false,
intro h',
cases h',
exact h rfl } },
{ cases a' with _ _ f' a'; try { apply is_false, intro h, cases h, done },
specialize ih₁ f',
specialize ih₂ a',
cases ih₁, apply is_false, intro h, cases h, exact ih₁ rfl,
cases ih₂, apply is_false, intro h, cases h, exact ih₂ rfl,
subst ih₁, subst ih₂,
exact is_true rfl },
{ cases a' with _ _ _ _ A' b'; try { apply is_false, intro h, cases h, done },
specialize ih₁ A',
specialize ih₂ b',
cases ih₁, apply is_false, intro h, cases h, exact ih₁ rfl,
cases ih₂, apply is_false, intro h, cases h, exact ih₂ rfl,
subst ih₁, subst ih₂,
exact is_true rfl },
{ cases a' with _ _ _ _ _ _ A' B'; try { apply is_false, intro h, cases h, done },
specialize ih₁ A',
specialize ih₂ B',
cases ih₁, apply is_false, intro h, cases h, exact ih₁ rfl,
cases ih₂, apply is_false, intro h, cases h, exact ih₂ rfl,
subst ih₁, subst ih₂,
exact is_true rfl }
end
instance has_coe_var : has_coe ℕ term := ⟨term.var⟩
instance has_coe_const : has_coe C term := ⟨term.const⟩
def shift (σ : ℕ → term) : ℕ → term
| 0 := term.var 0
| (x + 1) := σ x
def substs : (ℕ → term) → term → term
| σ (term.var x) := σ x
| σ (term.const c) := term.const c
| σ (term.app f a) := term.app (substs σ f) (substs σ a)
| σ (term.lam A b) := term.lam (substs σ A) (substs (shift σ) b)
| σ (term.pi A B) := term.lam (substs σ A) (substs (shift σ) B)
def subst.weak : term → term :=
substs (term.var ∘ nat.succ)
def subst (a : term) : term → term :=
let σ (x : ℕ) : term :=
match x with
| 0 := a
| (x + 1) := x
end in
substs σ
parameters (S : set C) (A : set (C × C)) (R : set (C × C × C))
parameters [decidable_pred S] [decidable_pred A] [decidable_pred R]
parameter hA : ∀ {c s}, (c, s) ∈ A → s ∈ S
parameter hR₁ : ∀ {s₁ s₂ s₃}, (s₁, s₂, s₃) ∈ R → s₁ ∈ S
parameter hR₂ : ∀ {s₁ s₂ s₃}, (s₁, s₂, s₃) ∈ R → s₂ ∈ S
parameter hR₃ : ∀ {s₁ s₂ s₃}, (s₁, s₂, s₃) ∈ R → s₃ ∈ S
abbreviation context : Type := list term
inductive entails₁ : context → term → term → Prop
| ax₁ {c s} : (c, s) ∈ A → entails₁ [] ↑c ↑s
| start {Γ A s} : s ∈ S → entails₁ Γ A ↑s → entails₁ (A :: Γ) ↑0 A
| weak {Γ A B C s} : s ∈ S → entails₁ Γ A B → entails₁ Γ C ↑s → entails₁ (C :: Γ) (subst.weak A) (subst.weak B)
| pi {Γ A B s₁ s₂ s₃} : (s₁, s₂, s₃) ∈ R → entails₁ Γ A ↑s₁ → entails₁ (A :: Γ) B ↑s₂ → entails₁ Γ (term.pi A B) ↑s₃
| app {Γ f A B a} : entails₁ Γ f (term.pi A B) → entails₁ Γ a A → entails₁ Γ (term.app f a) (subst a B)
| lam {Γ A b B s} : s ∈ S → entails₁ (A :: Γ) b B → entails₁ Γ (term.pi A B) ↑s → entails₁ Γ (term.lam A b) (term.pi A B)
inductive ctx₁ : context → Prop
| empty : ctx₁ []
| ext {Γ A s} : s ∈ S → entails₁ Γ A ↑s → ctx₁ (A :: Γ)
set_option class.instance_max_depth 5
set_option trace.class_instances true
lemma ctx₁_of_entails₁ {Γ A B} : entails₁ Γ A B → ctx₁ Γ :=
begin
sorry
end
-- This lemma is not true because `Γ` can be literally anything, including an
-- invalid context.
lemma entails₁.ax₂ {Γ c s} : (c, s) ∈ A → entails₁ Γ ↑c ↑s :=
begin
intro h,
induction Γ with B Γ ih,
{ exact entails₁.ax₁ h },
{ refine entails₁.weak _ ih _,
sorry
}
end
end
|
6fbcabc56a12a87d0452b8c4b4d76c3061dfdad0 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/order/filter/indicator_function.lean | 63824c511ac9e609c54305b88b90b8fbdc6aacae | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 3,211 | lean | /-
Copyright (c) 2020 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import algebra.indicator_function
import order.filter.at_top_bot
/-!
# Indicator function and filters
Properties of indicator functions involving `=ᶠ` and `≤ᶠ`.
## Tags
indicator, characteristic, filter
-/
variables {α β M E : Type*}
open set filter classical
open_locale filter classical
section has_zero
variables [has_zero M] {s t : set α} {f g : α → M} {a : α} {l : filter α}
lemma indicator_eventually_eq (hf : f =ᶠ[l ⊓ 𝓟 s] g) (hs : s =ᶠ[l] t) :
indicator s f =ᶠ[l] indicator t g :=
(eventually_inf_principal.1 hf).mp $ hs.mem_iff.mono $ λ x hst hfg,
by_cases (λ hxs : x ∈ s, by simp only [*, hst.1 hxs, indicator_of_mem])
(λ hxs, by simp only [indicator_of_not_mem hxs, indicator_of_not_mem (mt hst.2 hxs)])
end has_zero
section add_monoid
variables [add_monoid M] {s t : set α} {f g : α → M} {a : α} {l : filter α}
lemma indicator_union_eventually_eq (h : ∀ᶠ a in l, a ∉ s ∩ t) :
indicator (s ∪ t) f =ᶠ[l] indicator s f + indicator t f :=
h.mono $ λ a ha, indicator_union_of_not_mem_inter ha _
end add_monoid
section order
variables [has_zero β] [preorder β] {s t : set α} {f g : α → β} {a : α} {l : filter α}
lemma indicator_eventually_le_indicator (h : f ≤ᶠ[l ⊓ 𝓟 s] g) :
indicator s f ≤ᶠ[l] indicator s g :=
(eventually_inf_principal.1 h).mono $ assume a h,
indicator_rel_indicator le_rfl h
end order
lemma monotone.tendsto_indicator {ι} [preorder ι] [has_zero β]
(s : ι → set α) (hs : monotone s) (f : α → β) (a : α) :
tendsto (λi, indicator (s i) f a) at_top (pure $ indicator (⋃ i, s i) f a) :=
begin
by_cases h : ∃i, a ∈ s i,
{ rcases h with ⟨i, hi⟩,
refine tendsto_pure.2 ((eventually_ge_at_top i).mono $ assume n hn, _),
rw [indicator_of_mem (hs hn hi) _, indicator_of_mem ((subset_Union _ _) hi) _] },
{ rw [not_exists] at h,
simp only [indicator_of_not_mem (h _)],
convert tendsto_const_pure,
apply indicator_of_not_mem, simpa only [not_exists, mem_Union] }
end
lemma antitone.tendsto_indicator {ι} [preorder ι] [has_zero β]
(s : ι → set α) (hs : antitone s) (f : α → β) (a : α) :
tendsto (λi, indicator (s i) f a) at_top (pure $ indicator (⋂ i, s i) f a) :=
begin
by_cases h : ∃i, a ∉ s i,
{ rcases h with ⟨i, hi⟩,
refine tendsto_pure.2 ((eventually_ge_at_top i).mono $ assume n hn, _),
rw [indicator_of_not_mem _ _, indicator_of_not_mem _ _],
{ simp only [mem_Inter, not_forall], exact ⟨i, hi⟩ },
{ assume h, have := hs hn h, contradiction } },
{ push_neg at h,
simp only [indicator_of_mem, h, (mem_Inter.2 h), tendsto_const_pure] }
end
lemma tendsto_indicator_bUnion_finset {ι} [has_zero β] (s : ι → set α) (f : α → β) (a : α) :
tendsto (λ (n : finset ι), indicator (⋃i∈n, s i) f a) at_top (pure $ indicator (Union s) f a) :=
begin
rw Union_eq_Union_finset s,
refine monotone.tendsto_indicator (λ n : finset ι, ⋃ i ∈ n, s i) _ f a,
exact λ t₁ t₂, bUnion_subset_bUnion_left
end
|
9fa8d9e228c304cd4c1e5375341f86f6035d1918 | 130c49f47783503e462c16b2eff31933442be6ff | /stage0/src/Lean/Message.lean | 4d74369f0d8214f04c0d72bd4064d4a3b4b3f3d0 | [
"Apache-2.0"
] | permissive | Hazel-Brown/lean4 | 8aa5860e282435ffc30dcdfccd34006c59d1d39c | 79e6732fc6bbf5af831b76f310f9c488d44e7a16 | refs/heads/master | 1,689,218,208,951 | 1,629,736,869,000 | 1,629,736,896,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,541 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Sebastian Ullrich, Leonardo de Moura
Message Type used by the Lean frontend
-/
import Lean.Data.Position
import Lean.Data.OpenDecl
import Lean.Syntax
import Lean.MetavarContext
import Lean.Environment
import Lean.Util.PPExt
namespace Lean
def mkErrorStringWithPos (fileName : String) (pos : Position) (msg : String) (endPos : Option Position := none) : String :=
let endPos := match endPos with
| some endPos => s!"-{endPos.line}:{endPos.column}"
| none => ""
s!"{fileName}:{pos.line}:{pos.column}{endPos}: {msg}"
inductive MessageSeverity where
| information | warning | error
deriving Inhabited, BEq
structure MessageDataContext where
env : Environment
mctx : MetavarContext
lctx : LocalContext
opts : Options
structure NamingContext where
currNamespace : Name
openDecls : List OpenDecl
/- Structure message data. We use it for reporting errors, trace messages, etc. -/
inductive MessageData where
| ofFormat : Format → MessageData
| ofSyntax : Syntax → MessageData
| ofExpr : Expr → MessageData
| ofLevel : Level → MessageData
| ofName : Name → MessageData
| ofGoal : MVarId → MessageData
/- `withContext ctx d` specifies the pretty printing context `(env, mctx, lctx, opts)` for the nested expressions in `d`. -/
| withContext : MessageDataContext → MessageData → MessageData
| withNamingContext : NamingContext → MessageData → MessageData
/- Lifted `Format.nest` -/
| nest : Nat → MessageData → MessageData
/- Lifted `Format.group` -/
| group : MessageData → MessageData
/- Lifted `Format.compose` -/
| compose : MessageData → MessageData → MessageData
/- Tagged sections. `Name` should be viewed as a "kind", and is used by `MessageData` inspector functions.
Example: an inspector that tries to find "definitional equality failures" may look for the tag "DefEqFailure". -/
| tagged : Name → MessageData → MessageData
| node : Array MessageData → MessageData
deriving Inhabited
namespace MessageData
/- Instantiate metavariables occurring in nexted `ofExpr` constructors.
It uses the surrounding `MetavarContext` at `withContext` constructors.
-/
partial def instantiateMVars (msg : MessageData) : MessageData :=
visit msg {}
where
visit (msg : MessageData) (mctx : MetavarContext) : MessageData :=
match msg with
| ofExpr e => ofExpr <| mctx.instantiateMVars e |>.1
| withContext ctx msg => withContext ctx <| visit msg ctx.mctx
| withNamingContext ctx msg => withNamingContext ctx <| visit msg mctx
| nest n msg => nest n <| visit msg mctx
| group msg => group <| visit msg mctx
| compose msg₁ msg₂ => compose (visit msg₁ mctx) <| visit msg₂ mctx
| tagged n msg => tagged n <| visit msg mctx
| node msgs => node <| msgs.map (visit . mctx)
| _ => msg
variable (tag : Name) in
partial def hasTag : MessageData → Bool
| withContext _ msg => hasTag msg
| withNamingContext _ msg => hasTag msg
| nest _ msg => hasTag msg
| group msg => hasTag msg
| compose msg₁ msg₂ => hasTag msg₁ || hasTag msg₂
| tagged n msg => tag == n || hasTag msg
| node msgs => msgs.any hasTag
| _ => false
def nil : MessageData :=
ofFormat Format.nil
def isNil : MessageData → Bool
| ofFormat Format.nil => true
| _ => false
def isNest : MessageData → Bool
| nest _ _ => true
| _ => false
def mkPPContext (nCtx : NamingContext) (ctx : MessageDataContext) : PPContext := {
env := ctx.env, mctx := ctx.mctx, lctx := ctx.lctx, opts := ctx.opts,
currNamespace := nCtx.currNamespace, openDecls := nCtx.openDecls
}
partial def formatAux : NamingContext → Option MessageDataContext → MessageData → IO Format
| _, _, ofFormat fmt => pure fmt
| _, _, ofLevel u => pure $ format u
| _, _, ofName n => pure $ format n
| nCtx, some ctx, ofSyntax s => ppTerm (mkPPContext nCtx ctx) s -- HACK: might not be a term
| _, none, ofSyntax s => pure $ s.formatStx
| _, none, ofExpr e => pure $ format (toString e)
| nCtx, some ctx, ofExpr e => ppExpr (mkPPContext nCtx ctx) e
| _, none, ofGoal mvarId => pure $ "goal " ++ format (mkMVar mvarId)
| nCtx, some ctx, ofGoal mvarId => ppGoal (mkPPContext nCtx ctx) mvarId
| nCtx, _, withContext ctx d => formatAux nCtx ctx d
| _, ctx, withNamingContext nCtx d => formatAux nCtx ctx d
| nCtx, ctx, tagged _ d => formatAux nCtx ctx d
| nCtx, ctx, nest n d => Format.nest n <$> formatAux nCtx ctx d
| nCtx, ctx, compose d₁ d₂ => do let d₁ ← formatAux nCtx ctx d₁; let d₂ ← formatAux nCtx ctx d₂; pure $ d₁ ++ d₂
| nCtx, ctx, group d => Format.group <$> formatAux nCtx ctx d
| nCtx, ctx, node ds => Format.nest 2 <$> ds.foldlM (fun r d => do let d ← formatAux nCtx ctx d; pure $ r ++ Format.line ++ d) Format.nil
protected def format (msgData : MessageData) : IO Format :=
formatAux { currNamespace := Name.anonymous, openDecls := [] } none msgData
protected def toString (msgData : MessageData) : IO String := do
let fmt ← msgData.format
pure $ toString fmt
instance : Append MessageData := ⟨compose⟩
instance : Coe String MessageData := ⟨ofFormat ∘ format⟩
instance : Coe Format MessageData := ⟨ofFormat⟩
instance : Coe Level MessageData := ⟨ofLevel⟩
instance : Coe Expr MessageData := ⟨ofExpr⟩
instance : Coe Name MessageData := ⟨ofName⟩
instance : Coe Syntax MessageData := ⟨ofSyntax⟩
instance : Coe (Option Expr) MessageData := ⟨fun o => match o with | none => "none" | some e => ofExpr e⟩
partial def arrayExpr.toMessageData (es : Array Expr) (i : Nat) (acc : MessageData) : MessageData :=
if h : i < es.size then
let e := es.get ⟨i, h⟩;
let acc := if i == 0 then acc ++ ofExpr e else acc ++ ", " ++ ofExpr e;
toMessageData es (i+1) acc
else
acc ++ "]"
instance : Coe (Array Expr) MessageData := ⟨fun es => arrayExpr.toMessageData es 0 "#["⟩
def bracket (l : String) (f : MessageData) (r : String) : MessageData := group (nest l.length $ l ++ f ++ r)
def paren (f : MessageData) : MessageData := bracket "(" f ")"
def sbracket (f : MessageData) : MessageData := bracket "[" f "]"
def joinSep : List MessageData → MessageData → MessageData
| [], sep => Format.nil
| [a], sep => a
| a::as, sep => a ++ sep ++ joinSep as sep
def ofList: List MessageData → MessageData
| [] => "[]"
| xs => sbracket $ joinSep xs (ofFormat "," ++ Format.line)
def ofArray (msgs : Array MessageData) : MessageData :=
ofList msgs.toList
instance : Coe (List MessageData) MessageData := ⟨ofList⟩
instance : Coe (List Expr) MessageData := ⟨fun es => ofList $ es.map ofExpr⟩
end MessageData
structure Message where
fileName : String
pos : Position
endPos : Option Position := none
severity : MessageSeverity := MessageSeverity.error
caption : String := ""
data : MessageData
deriving Inhabited
namespace Message
protected def toString (msg : Message) (includeEndPos := false) : IO String := do
let mut str ← msg.data.toString
let endPos := if includeEndPos then msg.endPos else none
unless msg.caption == "" do
str := msg.caption ++ ":\n" ++ str
match msg.severity with
| MessageSeverity.information => pure ()
| MessageSeverity.warning => str := mkErrorStringWithPos msg.fileName msg.pos (endPos := endPos) "warning: " ++ str
| MessageSeverity.error => str := mkErrorStringWithPos msg.fileName msg.pos (endPos := endPos) "error: " ++ str
if str.isEmpty || str.back != '\n' then
str := str ++ "\n"
return str
end Message
structure MessageLog where
msgs : Std.PersistentArray Message := {}
deriving Inhabited
namespace MessageLog
def empty : MessageLog := ⟨{}⟩
def isEmpty (log : MessageLog) : Bool :=
log.msgs.isEmpty
def add (msg : Message) (log : MessageLog) : MessageLog :=
⟨log.msgs.push msg⟩
protected def append (l₁ l₂ : MessageLog) : MessageLog :=
⟨l₁.msgs ++ l₂.msgs⟩
instance : Append MessageLog :=
⟨MessageLog.append⟩
def hasErrors (log : MessageLog) : Bool :=
log.msgs.any fun m => match m.severity with
| MessageSeverity.error => true
| _ => false
def errorsToWarnings (log : MessageLog) : MessageLog :=
{ msgs := log.msgs.map (fun m => match m.severity with | MessageSeverity.error => { m with severity := MessageSeverity.warning } | _ => m) }
def getInfoMessages (log : MessageLog) : MessageLog :=
{ msgs := log.msgs.filter fun m => match m.severity with | MessageSeverity.information => true | _ => false }
def forM {m : Type → Type} [Monad m] (log : MessageLog) (f : Message → m Unit) : m Unit :=
log.msgs.forM f
def toList (log : MessageLog) : List Message :=
(log.msgs.foldl (fun acc msg => msg :: acc) []).reverse
end MessageLog
def MessageData.nestD (msg : MessageData) : MessageData :=
MessageData.nest 2 msg
def indentD (msg : MessageData) : MessageData :=
MessageData.nestD (Format.line ++ msg)
def indentExpr (e : Expr) : MessageData :=
indentD e
class AddMessageContext (m : Type → Type) where
addMessageContext : MessageData → m MessageData
export AddMessageContext (addMessageContext)
instance (m n) [MonadLift m n] [AddMessageContext m] : AddMessageContext n where
addMessageContext := fun msg => liftM (addMessageContext msg : m _)
def addMessageContextPartial {m} [Monad m] [MonadEnv m] [MonadOptions m] (msgData : MessageData) : m MessageData := do
let env ← getEnv
let opts ← getOptions
pure $ MessageData.withContext { env := env, mctx := {}, lctx := {}, opts := opts } msgData
def addMessageContextFull {m} [Monad m] [MonadEnv m] [MonadMCtx m] [MonadLCtx m] [MonadOptions m] (msgData : MessageData) : m MessageData := do
let env ← getEnv
let mctx ← getMCtx
let lctx ← getLCtx
let opts ← getOptions
pure $ MessageData.withContext { env := env, mctx := mctx, lctx := lctx, opts := opts } msgData
class ToMessageData (α : Type) where
toMessageData : α → MessageData
export ToMessageData (toMessageData)
def stringToMessageData (str : String) : MessageData :=
let lines := str.split (· == '\n')
let lines := lines.map (MessageData.ofFormat ∘ format)
MessageData.joinSep lines (MessageData.ofFormat Format.line)
instance {α} [ToFormat α] : ToMessageData α := ⟨MessageData.ofFormat ∘ format⟩
instance : ToMessageData Expr := ⟨MessageData.ofExpr⟩
instance : ToMessageData Level := ⟨MessageData.ofLevel⟩
instance : ToMessageData Name := ⟨MessageData.ofName⟩
instance : ToMessageData String := ⟨stringToMessageData⟩
instance : ToMessageData Syntax := ⟨MessageData.ofSyntax⟩
instance : ToMessageData Format := ⟨MessageData.ofFormat⟩
instance : ToMessageData MessageData := ⟨id⟩
instance {α} [ToMessageData α] : ToMessageData (List α) := ⟨fun as => MessageData.ofList $ as.map toMessageData⟩
instance {α} [ToMessageData α] : ToMessageData (Array α) := ⟨fun as => toMessageData as.toList⟩
instance {α} [ToMessageData α] : ToMessageData (Subarray α) := ⟨fun as => toMessageData as.toArray.toList⟩
instance {α} [ToMessageData α] : ToMessageData (Option α) := ⟨fun | none => "none" | some e => "some (" ++ toMessageData e ++ ")"⟩
instance : ToMessageData (Option Expr) := ⟨fun | none => "<not-available>" | some e => toMessageData e⟩
syntax:max "m!" interpolatedStr(term) : term
macro_rules
| `(m! $interpStr) => do interpStr.expandInterpolatedStr (← `(MessageData)) (← `(toMessageData))
namespace KernelException
private def mkCtx (env : Environment) (lctx : LocalContext) (opts : Options) (msg : MessageData) : MessageData :=
MessageData.withContext { env := env, mctx := {}, lctx := lctx, opts := opts } msg
def toMessageData (e : KernelException) (opts : Options) : MessageData :=
match e with
| unknownConstant env constName => mkCtx env {} opts m!"(kernel) unknown constant '{constName}'"
| alreadyDeclared env constName => mkCtx env {} opts m!"(kernel) constant has already been declared '{constName}'"
| declTypeMismatch env decl givenType =>
let process (n : Name) (expectedType : Expr) : MessageData :=
m!"(kernel) declaration type mismatch, '{n}' has type{indentExpr givenType}\nbut it is expected to have type{indentExpr expectedType}";
match decl with
| Declaration.defnDecl { name := n, type := type, .. } => process n type
| Declaration.thmDecl { name := n, type := type, .. } => process n type
| _ => "(kernel) declaration type mismatch" -- TODO fix type checker, type mismatch for mutual decls does not have enough information
| declHasMVars env constName _ => mkCtx env {} opts m!"(kernel) declaration has metavariables '{constName}'"
| declHasFVars env constName _ => mkCtx env {} opts m!"(kernel) declaration has free variables '{constName}'"
| funExpected env lctx e => mkCtx env lctx opts m!"(kernel) function expected{indentExpr e}"
| typeExpected env lctx e => mkCtx env lctx opts m!"(kernel) type expected{indentExpr e}"
| letTypeMismatch env lctx n _ _ => mkCtx env lctx opts m!"(kernel) let-declaration type mismatch '{n}'"
| exprTypeMismatch env lctx e _ => mkCtx env lctx opts m!"(kernel) type mismatch at{indentExpr e}"
| appTypeMismatch env lctx e fnType argType =>
mkCtx env lctx opts m!"application type mismatch{indentExpr e}\nargument has type{indentExpr argType}\nbut function has type{indentExpr fnType}"
| invalidProj env lctx e => mkCtx env lctx opts m!"(kernel) invalid projection{indentExpr e}"
| other msg => m!"(kernel) {msg}"
end KernelException
end Lean
|
96c226561e7fa3be3542aece597fdfc41cd6f15a | 42610cc2e5db9c90269470365e6056df0122eaa0 | /hott/types/univ.hlean | 4734bfcf64b46c8abf8c24417c3cd8496661719c | [
"Apache-2.0"
] | permissive | tomsib2001/lean | 2ab59bfaebd24a62109f800dcf4a7139ebd73858 | eb639a7d53fb40175bea5c8da86b51d14bb91f76 | refs/heads/master | 1,586,128,387,740 | 1,468,968,950,000 | 1,468,968,950,000 | 61,027,234 | 0 | 0 | null | 1,465,813,585,000 | 1,465,813,585,000 | null | UTF-8 | Lean | false | false | 4,919 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Floris van Doorn
Theorems about the universe
-/
-- see also init.ua
import .bool .trunc .lift .pullback
open is_trunc bool lift unit eq pi equiv sum sigma fiber prod pullback is_equiv sigma.ops
pointed
namespace univ
universe variables u v
variables {A B : Type.{u}} {a : A} {b : B}
/- Pathovers -/
definition eq_of_pathover_ua {f : A ≃ B} (p : a =[ua f] b) : f a = b :=
!cast_ua⁻¹ ⬝ tr_eq_of_pathover p
definition pathover_ua {f : A ≃ B} (p : f a = b) : a =[ua f] b :=
pathover_of_tr_eq (!cast_ua ⬝ p)
definition pathover_ua_equiv (f : A ≃ B) : (a =[ua f] b) ≃ (f a = b) :=
equiv.MK eq_of_pathover_ua
pathover_ua
abstract begin
intro p, unfold [pathover_ua,eq_of_pathover_ua],
rewrite [to_right_inv !pathover_equiv_tr_eq, inv_con_cancel_left]
end end
abstract begin
intro p, unfold [pathover_ua,eq_of_pathover_ua],
rewrite [con_inv_cancel_left, to_left_inv !pathover_equiv_tr_eq]
end end
/- Properties which can be disproven for the universe -/
definition not_is_set_type0 : ¬is_set Type₀ :=
assume H : is_set Type₀,
absurd !is_set.elim eq_bnot_ne_idp
definition not_is_set_type : ¬is_set Type.{u} :=
assume H : is_set Type,
absurd (is_trunc_is_embedding_closed lift !trunc_index.minus_one_le_succ) not_is_set_type0
definition not_double_negation_elimination0 : ¬Π(A : Type₀), ¬¬A → A :=
begin
intro f,
have u : ¬¬bool, by exact (λg, g tt),
let H1 := apd f eq_bnot,
note H2 := apo10 H1 u,
have p : eq_bnot ▸ u = u, from !is_prop.elim,
rewrite p at H2,
note H3 := eq_of_pathover_ua H2, esimp at H3, --TODO: use apply ... at after #700
exact absurd H3 (bnot_ne (f bool u)),
end
definition not_double_negation_elimination : ¬Π(A : Type), ¬¬A → A :=
begin
intro f,
apply not_double_negation_elimination0,
intro A nna, refine down (f _ _),
intro na,
have ¬A, begin intro a, exact absurd (up a) na end,
exact absurd this nna
end
definition not_excluded_middle : ¬Π(A : Type), A + ¬A :=
begin
intro f,
apply not_double_negation_elimination,
intro A nna,
induction (f A) with a na,
exact a,
exact absurd na nna
end
definition characteristic_map [unfold 2] {B : Type.{u}} (p : Σ(A : Type.{max u v}), A → B)
(b : B) : Type.{max u v} :=
by induction p with A f; exact fiber f b
definition characteristic_map_inv [unfold 2] {B : Type.{u}} (P : B → Type.{max u v}) :
Σ(A : Type.{max u v}), A → B :=
⟨(Σb, P b), pr1⟩
definition sigma_arrow_equiv_arrow_univ [constructor] (B : Type.{u}) :
(Σ(A : Type.{max u v}), A → B) ≃ (B → Type.{max u v}) :=
begin
fapply equiv.MK,
{ exact characteristic_map},
{ exact characteristic_map_inv},
{ intro P, apply eq_of_homotopy, intro b, esimp, apply ua, apply fiber_pr1},
{ intro p, induction p with A f, fapply sigma_eq: esimp,
{ apply ua, apply sigma_fiber_equiv },
{ apply arrow_pathover_constant_right, intro v,
rewrite [-cast_def _ v, cast_ua_fn],
esimp [sigma_fiber_equiv,equiv.trans,equiv.symm,sigma_comm_equiv,comm_equiv_unc],
induction v with b w, induction w with a p, esimp, exact p⁻¹}}
end
definition is_object_classifier (f : A → B)
: pullback_square (pointed_fiber f) (fiber f) f pType.carrier :=
pullback_square.mk
(λa, idp)
(is_equiv_of_equiv_of_homotopy
(calc
A ≃ Σb, fiber f b : sigma_fiber_equiv
... ≃ Σb (v : ΣX, X = fiber f b), v.1 : sigma_equiv_sigma_right
(λb, !sigma_equiv_of_is_contr_left)
... ≃ Σb X (p : X = fiber f b), X : sigma_equiv_sigma_right
(λb, !sigma_assoc_equiv)
... ≃ Σb X (x : X), X = fiber f b : sigma_equiv_sigma_right
(λb, sigma_equiv_sigma_right
(λX, !comm_equiv_nondep))
... ≃ Σb (v : ΣX, X), v.1 = fiber f b : sigma_equiv_sigma_right
(λb, !sigma_assoc_equiv⁻¹ᵉ)
... ≃ Σb (Y : Type*), Y = fiber f b : sigma_equiv_sigma_right
(λb, sigma_equiv_sigma (pType.sigma_char)⁻¹ᵉ
(λv, sigma.rec_on v (λx y, equiv.rfl)))
... ≃ Σ(Y : Type*) b, Y = fiber f b : sigma_comm_equiv
... ≃ pullback pType.carrier (fiber f) : !pullback.sigma_char⁻¹ᵉ
)
proof λb, idp qed)
end univ
|
da7712495153ee5e822a7f37a4f3c54bc528b2d6 | 618003631150032a5676f229d13a079ac875ff77 | /src/algebra/category/Group/zero.lean | 75fe1092cdc0251e2425bccbcfe8b669387a10d6 | [
"Apache-2.0"
] | permissive | awainverse/mathlib | 939b68c8486df66cfda64d327ad3d9165248c777 | ea76bd8f3ca0a8bf0a166a06a475b10663dec44a | refs/heads/master | 1,659,592,962,036 | 1,590,987,592,000 | 1,590,987,592,000 | 268,436,019 | 1 | 0 | Apache-2.0 | 1,590,990,500,000 | 1,590,990,500,000 | null | UTF-8 | Lean | false | false | 799 | lean | /-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import algebra.category.Group.basic
import category_theory.limits.shapes.zero
/-!
# The category of commutative additive groups has a zero object.
It also has zero morphisms. For definitional reasons, we infer this from preadditivity rather than
from the existence of a zero object.
-/
open category_theory
open category_theory.limits
universe u
namespace AddCommGroup
instance : has_zero_object.{u} AddCommGroup.{u} :=
{ zero := 0,
unique_to := λ X, ⟨⟨0⟩, λ f, begin ext, cases x, erw add_monoid_hom.map_zero, refl end⟩,
unique_from := λ X, ⟨⟨0⟩, λ f, begin ext, apply subsingleton.elim, end⟩, }
end AddCommGroup
|
2b166dbcf732c006f9de2a2932bd8d72c7ce0683 | 367134ba5a65885e863bdc4507601606690974c1 | /src/tactic/ring2.lean | 60acf00516140479d094cf8e8b891a61a279a995 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 20,977 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import tactic.ring
import data.num.lemmas
import data.tree
/-!
# ring2
An experimental variant on the `ring` tactic that uses computational
reflection instead of proof generation. Useful for kernel benchmarking.
-/
namespace tree
/-- `(reflect' t u α)` quasiquotes a tree `(t: tree expr)` of quoted
values of type `α` at level `u` into an `expr` which reifies to a `tree α`
containing the reifications of the `expr`s from the original `t`. -/
protected meta def reflect' (u : level) (α : expr) : tree expr → expr
| tree.nil := (expr.const ``tree.nil [u] : expr) α
| (tree.node a t₁ t₂) :=
(expr.const ``tree.node [u] : expr) α a t₁.reflect' t₂.reflect'
/-- Returns an element indexed by `n`, or zero if `n` isn't a valid index.
See `tree.get`. -/
protected def get_or_zero {α} [has_zero α] (t : tree α) (n : pos_num) : α :=
t.get_or_else n 0
end tree
namespace tactic.ring2
/-- A reflected/meta representation of an expression in a commutative
semiring. This representation is a direct translation of such
expressions - see `horner_expr` for a normal form. -/
@[derive has_reflect]
inductive csring_expr
/- (atom n) is an opaque element of the csring. For example,
a local variable in the context. n indexes into a storage
of such atoms - a `tree α`. -/
| atom : pos_num → csring_expr
/- (const n) is technically the csring's one, added n times.
Or the zero if n is 0. -/
| const : num → csring_expr
| add : csring_expr → csring_expr → csring_expr
| mul : csring_expr → csring_expr → csring_expr
| pow : csring_expr → num → csring_expr
namespace csring_expr
instance : inhabited csring_expr := ⟨const 0⟩
/-- Evaluates a reflected `csring_expr` into an element of the
original `comm_semiring` type `α`, retrieving opaque elements
(atoms) from the tree `t`. -/
def eval {α} [comm_semiring α] (t : tree α) : csring_expr → α
| (atom n) := t.get_or_zero n
| (const n) := n
| (add x y) := eval x + eval y
| (mul x y) := eval x * eval y
| (pow x n) := eval x ^ (n : ℕ)
end csring_expr
/-- An efficient representation of expressions in a commutative
semiring using the sparse Horner normal form. This type admits
non-optimal instantiations (e.g. `P` can be represented as `P+0+0`),
so to get good performance out of it, care must be taken to maintain
an optimal, *canonical* form. -/
@[derive decidable_eq]
inductive horner_expr
/- (const n) is a constant n in the csring, similarly to the same
constructor in `csring_expr`. This one, however, can be negative. -/
| const : znum → horner_expr
/- (horner a x n b) is a*xⁿ + b, where x is the x-th atom
in the atom tree. -/
| horner : horner_expr → pos_num → num → horner_expr → horner_expr
namespace horner_expr
/-- True iff the `horner_expr` argument is a valid `csring_expr`.
For that to be the case, all its constants must be non-negative. -/
def is_cs : horner_expr → Prop
| (const n) := ∃ m:num, n = m.to_znum
| (horner a x n b) := is_cs a ∧ is_cs b
instance : has_zero horner_expr := ⟨const 0⟩
instance : has_one horner_expr := ⟨const 1⟩
instance : inhabited horner_expr := ⟨0⟩
/-- Represent a `csring_expr.atom` in Horner form. -/
def atom (n : pos_num) : horner_expr := horner 1 n 1 0
def to_string : horner_expr → string
| (const n) := _root_.repr n
| (horner a x n b) :=
"(" ++ to_string a ++ ") * x" ++ _root_.repr x ++ "^"
++ _root_.repr n ++ " + " ++ to_string b
instance : has_to_string horner_expr := ⟨to_string⟩
/-- Alternative constructor for (horner a x n b) which maintains canonical
form by simplifying special cases of `a`. -/
def horner' (a : horner_expr)
(x : pos_num) (n : num) (b : horner_expr) : horner_expr :=
match a with
| const q := if q = 0 then b else horner a x n b
| horner a₁ x₁ n₁ b₁ :=
if x₁ = x ∧ b₁ = 0 then horner a₁ x (n₁ + n) b
else horner a x n b
end
def add_const (k : znum) (e : horner_expr) : horner_expr :=
if k = 0 then e else begin
induction e with n a x n b A B,
{ exact const (k + n) },
{ exact horner a x n B }
end
def add_aux (a₁ : horner_expr) (A₁ : horner_expr → horner_expr) (x₁ : pos_num) :
horner_expr → num → horner_expr → (horner_expr → horner_expr) → horner_expr
| (const n₂) n₁ b₁ B₁ := add_const n₂ (horner a₁ x₁ n₁ b₁)
| (horner a₂ x₂ n₂ b₂) n₁ b₁ B₁ :=
let e₂ := horner a₂ x₂ n₂ b₂ in
match pos_num.cmp x₁ x₂ with
| ordering.lt := horner a₁ x₁ n₁ (B₁ e₂)
| ordering.gt := horner a₂ x₂ n₂ (add_aux b₂ n₁ b₁ B₁)
| ordering.eq :=
match num.sub' n₁ n₂ with
| znum.zero := horner' (A₁ a₂) x₁ n₁ (B₁ b₂)
| (znum.pos k) := horner (add_aux a₂ k 0 id) x₁ n₂ (B₁ b₂)
| (znum.neg k) := horner (A₁ (horner a₂ x₁ k 0)) x₁ n₁ (B₁ b₂)
end
end
def add : horner_expr → horner_expr → horner_expr
| (const n₁) e₂ := add_const n₁ e₂
| (horner a₁ x₁ n₁ b₁) e₂ := add_aux a₁ (add a₁) x₁ e₂ n₁ b₁ (add b₁)
/-begin
induction e₁ with n₁ a₁ x₁ n₁ b₁ A₁ B₁ generalizing e₂,
{ exact add_const n₁ e₂ },
exact match e₂ with e₂ := begin
induction e₂ with n₂ a₂ x₂ n₂ b₂ A₂ B₂ generalizing n₁ b₁;
let e₁ := horner a₁ x₁ n₁ b₁,
{ exact add_const n₂ e₁ },
let e₂ := horner a₂ x₂ n₂ b₂,
exact match pos_num.cmp x₁ x₂ with
| ordering.lt := horner a₁ x₁ n₁ (B₁ e₂)
| ordering.gt := horner a₂ x₂ n₂ (B₂ n₁ b₁)
| ordering.eq :=
match num.sub' n₁ n₂ with
| znum.zero := horner' (A₁ a₂) x₁ n₁ (B₁ b₂)
| (znum.pos k) := horner (A₂ k 0) x₁ n₂ (B₁ b₂)
| (znum.neg k) := horner (A₁ (horner a₂ x₁ k 0)) x₁ n₁ (B₁ b₂)
end
end
end end
end-/
def neg (e : horner_expr) : horner_expr :=
begin
induction e with n a x n b A B,
{ exact const (-n) },
{ exact horner A x n B }
end
def mul_const (k : znum) (e : horner_expr) : horner_expr :=
if k = 0 then 0 else if k = 1 then e else begin
induction e with n a x n b A B,
{ exact const (n * k) },
{ exact horner A x n B }
end
def mul_aux (a₁ x₁ n₁ b₁) (A₁ B₁ : horner_expr → horner_expr) :
horner_expr → horner_expr
| (const n₂) := mul_const n₂ (horner a₁ x₁ n₁ b₁)
| e₂@(horner a₂ x₂ n₂ b₂) :=
match pos_num.cmp x₁ x₂ with
| ordering.lt := horner (A₁ e₂) x₁ n₁ (B₁ e₂)
| ordering.gt := horner (mul_aux a₂) x₂ n₂ (mul_aux b₂)
| ordering.eq := let haa := horner' (mul_aux a₂) x₁ n₂ 0 in
if b₂ = 0 then haa else haa.add (horner (A₁ b₂) x₁ n₁ (B₁ b₂))
end
def mul : horner_expr → horner_expr → horner_expr
| (const n₁) := mul_const n₁
| (horner a₁ x₁ n₁ b₁) := mul_aux a₁ x₁ n₁ b₁ (mul a₁) (mul b₁).
/-begin
induction e₁ with n₁ a₁ x₁ n₁ b₁ A₁ B₁ generalizing e₂,
{ exact mul_const n₁ e₂ },
induction e₂ with n₂ a₂ x₂ n₂ b₂ A₂ B₂;
let e₁ := horner a₁ x₁ n₁ b₁,
{ exact mul_const n₂ e₁ },
let e₂ := horner a₂ x₂ n₂ b₂,
cases pos_num.cmp x₁ x₂,
{ exact horner (A₁ e₂) x₁ n₁ (B₁ e₂) },
{ let haa := horner' A₂ x₁ n₂ 0,
exact if b₂ = 0 then haa else
haa.add (horner (A₁ b₂) x₁ n₁ (B₁ b₂)) },
{ exact horner A₂ x₂ n₂ B₂ }
end-/
instance : has_add horner_expr := ⟨add⟩
instance : has_neg horner_expr := ⟨neg⟩
instance : has_mul horner_expr := ⟨mul⟩
def pow (e : horner_expr) : num → horner_expr
| 0 := 1
| (num.pos p) := begin
induction p with p ep p ep,
{ exact e },
{ exact (ep.mul ep).mul e },
{ exact ep.mul ep }
end
def inv (e : horner_expr) : horner_expr := 0
/-- Brings expressions into Horner normal form. -/
def of_csexpr : csring_expr → horner_expr
| (csring_expr.atom n) := atom n
| (csring_expr.const n) := const n.to_znum
| (csring_expr.add x y) := (of_csexpr x).add (of_csexpr y)
| (csring_expr.mul x y) := (of_csexpr x).mul (of_csexpr y)
| (csring_expr.pow x n) := (of_csexpr x).pow n
/-- Evaluates a reflected `horner_expr` - see `csring_expr.eval`. -/
def cseval {α} [comm_semiring α] (t : tree α) : horner_expr → α
| (const n) := n.abs
| (horner a x n b) := tactic.ring.horner (cseval a) (t.get_or_zero x) n (cseval b)
theorem cseval_atom {α} [comm_semiring α] (t : tree α)
(n : pos_num) : (atom n).is_cs ∧ cseval t (atom n) = t.get_or_zero n :=
⟨⟨⟨1, rfl⟩, ⟨0, rfl⟩⟩, (tactic.ring.horner_atom _).symm⟩
theorem cseval_add_const {α} [comm_semiring α] (t : tree α)
(k : num) {e : horner_expr} (cs : e.is_cs) :
(add_const k.to_znum e).is_cs ∧
cseval t (add_const k.to_znum e) = k + cseval t e :=
begin
simp [add_const],
cases k; simp! *,
simp [show znum.pos k ≠ 0, from dec_trivial],
induction e with n a x n b A B; simp *,
{ rcases cs with ⟨n, rfl⟩,
refine ⟨⟨n + num.pos k, by simp [add_comm]; refl⟩, _⟩,
cases n; simp! },
{ rcases B cs.2 with ⟨csb, h⟩, simp! [*, cs.1],
rw [← tactic.ring.horner_add_const, add_comm], rw add_comm }
end
theorem cseval_horner' {α} [comm_semiring α] (t : tree α)
(a x n b) (h₁ : is_cs a) (h₂ : is_cs b) :
(horner' a x n b).is_cs ∧ cseval t (horner' a x n b) =
tactic.ring.horner (cseval t a) (t.get_or_zero x) n (cseval t b) :=
begin
cases a with n₁ a₁ x₁ n₁ b₁; simp [horner']; split_ifs,
{ simp! [*, tactic.ring.horner] },
{ exact ⟨⟨h₁, h₂⟩, rfl⟩ },
{ refine ⟨⟨h₁.1, h₂⟩, eq.symm _⟩, simp! *,
apply tactic.ring.horner_horner, simp },
{ exact ⟨⟨h₁, h₂⟩, rfl⟩ }
end
theorem cseval_add {α} [comm_semiring α] (t : tree α)
{e₁ e₂ : horner_expr} (cs₁ : e₁.is_cs) (cs₂ : e₂.is_cs) :
(add e₁ e₂).is_cs ∧
cseval t (add e₁ e₂) = cseval t e₁ + cseval t e₂ :=
begin
induction e₁ with n₁ a₁ x₁ n₁ b₁ A₁ B₁ generalizing e₂; simp!,
{ rcases cs₁ with ⟨n₁, rfl⟩,
simpa using cseval_add_const t n₁ cs₂ },
induction e₂ with n₂ a₂ x₂ n₂ b₂ A₂ B₂ generalizing n₁ b₁,
{ rcases cs₂ with ⟨n₂, rfl⟩,
simp! [cseval_add_const t n₂ cs₁, add_comm] },
cases cs₁ with csa₁ csb₁, cases id cs₂ with csa₂ csb₂,
simp!, have C := pos_num.cmp_to_nat x₁ x₂,
cases pos_num.cmp x₁ x₂; simp!,
{ rcases B₁ csb₁ cs₂ with ⟨csh, h⟩,
refine ⟨⟨csa₁, csh⟩, eq.symm _⟩,
apply tactic.ring.horner_add_const,
exact h.symm },
{ cases C,
have B0 : is_cs 0 → ∀ {e₂ : horner_expr}, is_cs e₂ →
is_cs (add 0 e₂) ∧ cseval t (add 0 e₂) = cseval t 0 + cseval t e₂ :=
λ _ e₂ c, ⟨c, (zero_add _).symm⟩,
cases e : num.sub' n₁ n₂ with k k; simp!,
{ have : n₁ = n₂,
{ have := congr_arg (coe : znum → ℤ) e,
simp at this,
have := sub_eq_zero.1 this,
rw [← num.to_nat_to_int, ← num.to_nat_to_int] at this,
exact num.to_nat_inj.1 (int.coe_nat_inj this) },
subst n₂,
rcases cseval_horner' _ _ _ _ _ _ _ with ⟨csh, h⟩,
{ refine ⟨csh, h.trans (eq.symm _)⟩,
simp *,
apply tactic.ring.horner_add_horner_eq; try {refl} },
all_goals {simp! *} },
{ simp [B₁ csb₁ csb₂, add_comm],
rcases A₂ csa₂ _ _ B0 ⟨csa₁, 0, rfl⟩ with ⟨csh, h⟩,
refine ⟨csh, eq.symm _⟩,
rw [show id = add 0, from rfl, h],
apply tactic.ring.horner_add_horner_gt,
{ change (_ + k : ℕ) = _,
rw [← int.coe_nat_inj', int.coe_nat_add,
eq_comm, ← sub_eq_iff_eq_add'],
simpa using congr_arg (coe : znum → ℤ) e },
{ refl },
{ apply add_comm } },
{ have : (horner a₂ x₁ (num.pos k) 0).is_cs := ⟨csa₂, 0, rfl⟩,
simp [B₁ csb₁ csb₂, A₁ csa₁ this],
symmetry, apply tactic.ring.horner_add_horner_lt,
{ change (_ + k : ℕ) = _,
rw [← int.coe_nat_inj', int.coe_nat_add,
eq_comm, ← sub_eq_iff_eq_add', ← neg_inj, neg_sub],
simpa using congr_arg (coe : znum → ℤ) e },
all_goals { refl } } },
{ rcases B₂ csb₂ _ _ B₁ ⟨csa₁, csb₁⟩ with ⟨csh, h⟩,
refine ⟨⟨csa₂, csh⟩, eq.symm _⟩,
apply tactic.ring.const_add_horner,
simp [h] }
end
theorem cseval_mul_const {α} [comm_semiring α] (t : tree α)
(k : num) {e : horner_expr} (cs : e.is_cs) :
(mul_const k.to_znum e).is_cs ∧
cseval t (mul_const k.to_znum e) = cseval t e * k :=
begin
simp [mul_const],
split_ifs with h h,
{ cases (num.to_znum_inj.1 h : k = 0),
exact ⟨⟨0, rfl⟩, (mul_zero _).symm⟩ },
{ cases (num.to_znum_inj.1 h : k = 1),
exact ⟨cs, (mul_one _).symm⟩ },
induction e with n a x n b A B; simp *,
{ rcases cs with ⟨n, rfl⟩,
suffices, refine ⟨⟨n * k, this⟩, _⟩,
swap, {cases n; cases k; refl},
rw [show _, from this], simp! },
{ cases cs, simp! *,
symmetry, apply tactic.ring.horner_mul_const; refl }
end
theorem cseval_mul {α} [comm_semiring α] (t : tree α)
{e₁ e₂ : horner_expr} (cs₁ : e₁.is_cs) (cs₂ : e₂.is_cs) :
(mul e₁ e₂).is_cs ∧
cseval t (mul e₁ e₂) = cseval t e₁ * cseval t e₂ :=
begin
induction e₁ with n₁ a₁ x₁ n₁ b₁ A₁ B₁ generalizing e₂; simp!,
{ rcases cs₁ with ⟨n₁, rfl⟩,
simpa [mul_comm] using cseval_mul_const t n₁ cs₂ },
induction e₂ with n₂ a₂ x₂ n₂ b₂ A₂ B₂,
{ rcases cs₂ with ⟨n₂, rfl⟩,
simpa! using cseval_mul_const t n₂ cs₁ },
cases cs₁ with csa₁ csb₁, cases id cs₂ with csa₂ csb₂,
simp!, have C := pos_num.cmp_to_nat x₁ x₂,
cases A₂ csa₂ with csA₂ hA₂,
cases pos_num.cmp x₁ x₂; simp!,
{ simp [A₁ csa₁ cs₂, B₁ csb₁ cs₂],
symmetry, apply tactic.ring.horner_mul_const; refl },
{ cases cseval_horner' t _ x₁ n₂ 0 csA₂ ⟨0, rfl⟩ with csh₁ h₁,
cases C, split_ifs,
{ subst b₂,
refine ⟨csh₁, h₁.trans (eq.symm _)⟩,
apply tactic.ring.horner_mul_horner_zero; try {refl},
simp! [hA₂] },
{ cases A₁ csa₁ csb₂ with csA₁ hA₁,
cases cseval_add t csh₁ _ with csh₂ h₂,
{ refine ⟨csh₂, h₂.trans (eq.symm _)⟩,
apply tactic.ring.horner_mul_horner; try {refl},
simp! * },
exact ⟨csA₁, (B₁ csb₁ csb₂).1⟩ } },
{ simp [A₂ csa₂, B₂ csb₂], rw [mul_comm, eq_comm],
apply tactic.ring.horner_const_mul,
{apply mul_comm}, {refl} },
end
theorem cseval_pow {α} [comm_semiring α] (t : tree α)
{x : horner_expr} (cs : x.is_cs) :
∀ (n : num), (pow x n).is_cs ∧
cseval t (pow x n) = cseval t x ^ (n : ℕ)
| 0 := ⟨⟨1, rfl⟩, (pow_zero _).symm⟩
| (num.pos p) := begin
simp [pow], induction p with p ep p ep,
{ simp * },
{ simp [pow_bit1],
cases cseval_mul t ep.1 ep.1 with cs₀ h₀,
cases cseval_mul t cs₀ cs with cs₁ h₁,
simp * },
{ simp [pow_bit0],
cases cseval_mul t ep.1 ep.1 with cs₀ h₀,
simp * }
end
/-- For any given tree `t` of atoms and any reflected expression `r`,
the Horner form of `r` is a valid csring expression, and under `t`,
the Horner form evaluates to the same thing as `r`. -/
theorem cseval_of_csexpr {α} [comm_semiring α] (t : tree α) :
∀ (r : csring_expr), (of_csexpr r).is_cs ∧ cseval t (of_csexpr r) = r.eval t
| (csring_expr.atom n) := cseval_atom _ _
| (csring_expr.const n) := ⟨⟨n, rfl⟩, by cases n; refl⟩
| (csring_expr.add x y) :=
let ⟨cs₁, h₁⟩ := cseval_of_csexpr x,
⟨cs₂, h₂⟩ := cseval_of_csexpr y,
⟨cs, h⟩ := cseval_add t cs₁ cs₂ in ⟨cs, by simp! [h, *]⟩
| (csring_expr.mul x y) :=
let ⟨cs₁, h₁⟩ := cseval_of_csexpr x,
⟨cs₂, h₂⟩ := cseval_of_csexpr y,
⟨cs, h⟩ := cseval_mul t cs₁ cs₂ in ⟨cs, by simp! [h, *]⟩
| (csring_expr.pow x n) :=
let ⟨cs, h⟩ := cseval_of_csexpr x,
⟨cs, h⟩ := cseval_pow t cs n in ⟨cs, by simp! [h, *]⟩
end horner_expr
/-- The main proof-by-reflection theorem. Given reflected csring expressions
`r₁` and `r₂` plus a storage `t` of atoms, if both expressions go to the
same Horner normal form, then the original non-reflected expressions are
equal. `H` follows from kernel reduction and is therefore `rfl`. -/
theorem correctness {α} [comm_semiring α] (t : tree α) (r₁ r₂ : csring_expr)
(H : horner_expr.of_csexpr r₁ = horner_expr.of_csexpr r₂) :
r₁.eval t = r₂.eval t :=
by repeat {rw ← (horner_expr.cseval_of_csexpr t _).2}; rw H
/-- Reflects a csring expression into a `csring_expr`, together
with a dlist of atoms, i.e. opaque variables over which the
expression is a polynomial. -/
meta def reflect_expr : expr → csring_expr × dlist expr
| `(%%e₁ + %%e₂) :=
let (r₁, l₁) := reflect_expr e₁, (r₂, l₂) := reflect_expr e₂ in
(r₁.add r₂, l₁ ++ l₂)
/-| `(%%e₁ - %%e₂) :=
let (r₁, l₁) := reflect_expr e₁, (r₂, l₂) := reflect_expr e₂ in
(r₁.add r₂.neg, l₁ ++ l₂)
| `(- %%e) := let (r, l) := reflect_expr e in (r.neg, l)-/
| `(%%e₁ * %%e₂) :=
let (r₁, l₁) := reflect_expr e₁, (r₂, l₂) := reflect_expr e₂ in
(r₁.mul r₂, l₁ ++ l₂)
/-| `(has_inv.inv %%e) := let (r, l) := reflect_expr e in (r.neg, l)
| `(%%e₁ / %%e₂) :=
let (r₁, l₁) := reflect_expr e₁, (r₂, l₂) := reflect_expr e₂ in
(r₁.mul r₂.inv, l₁ ++ l₂)-/
| e@`(%%e₁ ^ %%e₂) :=
match reflect_expr e₁, expr.to_nat e₂ with
| (r₁, l₁), some n₂ := (r₁.pow (num.of_nat' n₂), l₁)
| (r₁, l₁), none := (csring_expr.atom 1, dlist.singleton e)
end
| e := match expr.to_nat e with
| some n := (csring_expr.const (num.of_nat' n), dlist.empty)
| none := (csring_expr.atom 1, dlist.singleton e)
end
/-- In the output of `reflect_expr`, `atom`s are initialized with incorrect indices.
The indices cannot be computed until the whole tree is built, so another pass over
the expressions is needed - this is what `replace` does. The computation (expressed
in the state monad) fixes up `atom`s to match their positions in the atom tree.
The initial state is a list of all atom occurrences in the goal, left-to-right. -/
meta def csring_expr.replace (t : tree expr) : csring_expr → state_t (list expr) option csring_expr
| (csring_expr.atom _) := do e ← get,
p ← monad_lift (t.index_of (<) e.head),
put e.tail, pure (csring_expr.atom p)
| (csring_expr.const n) := pure (csring_expr.const n)
| (csring_expr.add x y) := csring_expr.add <$> x.replace <*> y.replace
| (csring_expr.mul x y) := csring_expr.mul <$> x.replace <*> y.replace
| (csring_expr.pow x n) := (λ x, csring_expr.pow x n) <$> x.replace
--| (csring_expr.neg x) := csring_expr.neg <$> x.replace
--| (csring_expr.inv x) := csring_expr.inv <$> x.replace
end tactic.ring2
namespace tactic
namespace interactive
open interactive interactive.types lean.parser
open tactic.ring2
local postfix `?`:9001 := optional
/-- `ring2` solves equations in the language of rings.
It supports only the commutative semiring operations, i.e. it does not normalize subtraction or division.
This variant on the `ring` tactic uses kernel computation instead
of proof generation. In general, you should use `ring` instead of `ring2`. -/
meta def ring2 : tactic unit :=
do `[repeat {rw ← nat.pow_eq_pow}],
`(%%e₁ = %%e₂) ← target
| fail "ring2 tactic failed: the goal is not an equality",
α ← infer_type e₁,
expr.sort (level.succ u) ← infer_type α,
let (r₁, l₁) := reflect_expr e₁,
let (r₂, l₂) := reflect_expr e₂,
let L := (l₁ ++ l₂).to_list,
let s := tree.of_rbnode (rbtree_of L).1,
(r₁, L) ← (state_t.run (r₁.replace s) L : option _),
(r₂, _) ← (state_t.run (r₂.replace s) L : option _),
let se : expr := s.reflect' u α,
let er₁ : expr := reflect r₁,
let er₂ : expr := reflect r₂,
cs ← mk_app ``comm_semiring [α] >>= mk_instance,
e ← to_expr ``(correctness %%se %%er₁ %%er₂ rfl)
<|> fail ("ring2 tactic failed, cannot show equality:\n"
++ to_string (horner_expr.of_csexpr r₁) ++
"\n =?=\n" ++ to_string (horner_expr.of_csexpr r₂)),
tactic.exact e
add_tactic_doc
{ name := "ring2",
category := doc_category.tactic,
decl_names := [`tactic.interactive.ring2],
tags := ["arithmetic", "simplification", "decision procedure"] }
end interactive
end tactic
namespace conv.interactive
open conv
meta def ring2 : conv unit := discharge_eq_lhs tactic.interactive.ring2
end conv.interactive
|
391bf6c43bf00c13b2ca406c86a89c518f3b7150 | ee8cdbabf07f77e7be63a449b8483ce308d37218 | /lean/src/test/mathd-numbertheory-100.lean | 5a904c3d60ce142f946a10121f06636f98eef559 | [
"MIT",
"Apache-2.0"
] | permissive | zeta1999/miniF2F | 6d66c75d1c18152e224d07d5eed57624f731d4b7 | c1ba9629559c5273c92ec226894baa0c1ce27861 | refs/heads/main | 1,681,897,460,642 | 1,620,646,361,000 | 1,620,646,361,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 297 | lean | /-
Copyright (c) 2021 OpenAI. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kunhao Zheng
-/
import init.data.nat.gcd
import data.real.basic
example (n : ℕ+) (h₀ : nat.gcd n 40 = 10) (h₁ : nat.lcm n 40 = 280) : n = 70 :=
begin
sorry
end
|
477d8f302edc27be9a9e49530f7e220adde821df | ce89339993655da64b6ccb555c837ce6c10f9ef4 | /zeptometer/topprover/1.lean | 3554dc940dc8aa19f769f8c2db4bb6b1d1db7c48 | [] | no_license | zeptometer/LearnLean | ef32dc36a22119f18d843f548d0bb42f907bff5d | bb84d5dbe521127ba134d4dbf9559b294a80b9f7 | refs/heads/master | 1,625,710,824,322 | 1,601,382,570,000 | 1,601,382,570,000 | 195,228,870 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 202 | lean | open bool
constant true_is_false : tt = ff
example : false := begin
have n: tt = ff, from true_is_false,
have m: tt ≠ ff, begin
cases n
end,
contradiction
end
#print axioms |
ad43e92ead24e04be1620f0471e02db1ba61dbcc | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/analysis/asymptotics/asymptotics.lean | 9b9edb0ac5fd5d3e8393cb2a79e131d4670a5e5e | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 61,247 | lean | /-
Copyright (c) 2019 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Yury Kudryashov
-/
import analysis.normed_space.basic
import topology.local_homeomorph
/-!
# Asymptotics
We introduce these relations:
* `is_O_with c f g l` : "f is big O of g along l with constant c";
* `is_O f g l` : "f is big O of g along l";
* `is_o f g l` : "f is little o of g along l".
Here `l` is any filter on the domain of `f` and `g`, which are assumed to be the same. The codomains
of `f` and `g` do not need to be the same; all that is needed that there is a norm associated with
these types, and it is the norm that is compared asymptotically.
The relation `is_O_with c` is introduced to factor out common algebraic arguments in the proofs of
similar properties of `is_O` and `is_o`. Usually proofs outside of this file should use `is_O`
instead.
Often the ranges of `f` and `g` will be the real numbers, in which case the norm is the absolute
value. In general, we have
`is_O f g l ↔ is_O (λ x, ∥f x∥) (λ x, ∥g x∥) l`,
and similarly for `is_o`. But our setup allows us to use the notions e.g. with functions
to the integers, rationals, complex numbers, or any normed vector space without mentioning the
norm explicitly.
If `f` and `g` are functions to a normed field like the reals or complex numbers and `g` is always
nonzero, we have
`is_o f g l ↔ tendsto (λ x, f x / (g x)) l (𝓝 0)`.
In fact, the right-to-left direction holds without the hypothesis on `g`, and in the other direction
it suffices to assume that `f` is zero wherever `g` is. (This generalization is useful in defining
the Fréchet derivative.)
-/
open filter set
open_locale topological_space big_operators classical filter nnreal
namespace asymptotics
variables {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*}
{E' : Type*} {F' : Type*} {G' : Type*} {R : Type*} {R' : Type*} {𝕜 : Type*} {𝕜' : Type*}
variables [has_norm E] [has_norm F] [has_norm G] [normed_group E'] [normed_group F']
[normed_group G'] [normed_ring R] [normed_ring R'] [normed_field 𝕜] [normed_field 𝕜']
{c c' : ℝ} {f : α → E} {g : α → F} {k : α → G} {f' : α → E'} {g' : α → F'} {k' : α → G'}
{l l' : filter α}
section defs
/-! ### Definitions -/
/-- This version of the Landau notation `is_O_with C f g l` where `f` and `g` are two functions on
a type `α` and `l` is a filter on `α`, means that eventually for `l`, `∥f∥` is bounded by `C * ∥g∥`.
In other words, `∥f∥ / ∥g∥` is eventually bounded by `C`, modulo division by zero issues that are
avoided by this definition. Probably you want to use `is_O` instead of this relation. -/
@[irreducible]
def is_O_with (c : ℝ) (f : α → E) (g : α → F) (l : filter α) : Prop :=
∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥
/-- Definition of `is_O_with`. We record it in a lemma as we will set `is_O_with` to be irreducible
at the end of this file. -/
lemma is_O_with_iff {c : ℝ} {f : α → E} {g : α → F} {l : filter α} :
is_O_with c f g l ↔ ∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥ := by rw is_O_with
alias is_O_with_iff ↔ asymptotics.is_O_with.bound asymptotics.is_O_with.of_bound
/-- The Landau notation `is_O f g l` where `f` and `g` are two functions on a type `α` and `l` is
a filter on `α`, means that eventually for `l`, `∥f∥` is bounded by a constant multiple of `∥g∥`.
In other words, `∥f∥ / ∥g∥` is eventually bounded, modulo division by zero issues that are avoided
by this definition. -/
@[irreducible]
def is_O (f : α → E) (g : α → F) (l : filter α) : Prop := ∃ c : ℝ, is_O_with c f g l
/-- Definition of `is_O` in terms of `is_O_with`. We record it in a lemma as we will set
`is_O` to be irreducible at the end of this file. -/
lemma is_O_iff_is_O_with {f : α → E} {g : α → F} {l : filter α} :
is_O f g l ↔ ∃ c : ℝ, is_O_with c f g l := by rw is_O
/-- Definition of `is_O` in terms of filters. We record it in a lemma as we will set
`is_O` to be irreducible at the end of this file. -/
lemma is_O_iff {f : α → E} {g : α → F} {l : filter α} :
is_O f g l ↔ ∃ c : ℝ, ∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥ := by simp [is_O, is_O_with]
lemma is_O.of_bound (c : ℝ) {f : α → E} {g : α → F} {l : filter α}
(h : ∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥) : is_O f g l := is_O_iff.2 ⟨c, h⟩
lemma is_O.bound {f : α → E} {g : α → F} {l : filter α} :
is_O f g l → ∃ c : ℝ, ∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥ := is_O_iff.1
/-- The Landau notation `is_o f g l` where `f` and `g` are two functions on a type `α` and `l` is
a filter on `α`, means that eventually for `l`, `∥f∥` is bounded by an arbitrarily small constant
multiple of `∥g∥`. In other words, `∥f∥ / ∥g∥` tends to `0` along `l`, modulo division by zero
issues that are avoided by this definition. -/
@[irreducible]
def is_o (f : α → E) (g : α → F) (l : filter α) : Prop := ∀ ⦃c : ℝ⦄, 0 < c → is_O_with c f g l
/-- Definition of `is_o` in terms of `is_O_with`. We record it in a lemma as we will set
`is_o` to be irreducible at the end of this file. -/
lemma is_o_iff_forall_is_O_with {f : α → E} {g : α → F} {l : filter α} :
is_o f g l ↔ ∀ ⦃c : ℝ⦄, 0 < c → is_O_with c f g l := by rw is_o
alias is_o_iff_forall_is_O_with ↔ asymptotics.is_o.forall_is_O_with asymptotics.is_o.of_is_O_with
/-- Definition of `is_o` in terms of filters. We record it in a lemma as we will set
`is_o` to be irreducible at the end of this file. -/
lemma is_o_iff {f : α → E} {g : α → F} {l : filter α} :
is_o f g l ↔ ∀ ⦃c : ℝ⦄, 0 < c → ∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥ :=
by simp only [is_o, is_O_with]
alias is_o_iff ↔ asymptotics.is_o.bound asymptotics.is_o.of_bound
lemma is_o.def {f : α → E} {g : α → F} {l : filter α} (h : is_o f g l) {c : ℝ} (hc : 0 < c) :
∀ᶠ x in l, ∥ f x ∥ ≤ c * ∥ g x ∥ :=
is_o_iff.1 h hc
lemma is_o.def' {f : α → E} {g : α → F} {l : filter α} (h : is_o f g l) {c : ℝ} (hc : 0 < c) :
is_O_with c f g l :=
is_O_with_iff.2 $ is_o_iff.1 h hc
end defs
/-! ### Conversions -/
theorem is_O_with.is_O (h : is_O_with c f g l) : is_O f g l := by rw is_O; exact ⟨c, h⟩
theorem is_o.is_O_with (hgf : is_o f g l) : is_O_with 1 f g l := hgf.def' zero_lt_one
theorem is_o.is_O (hgf : is_o f g l) : is_O f g l := hgf.is_O_with.is_O
lemma is_O.is_O_with {f : α → E} {g : α → F} {l : filter α} :
is_O f g l → ∃ c : ℝ, is_O_with c f g l := is_O_iff_is_O_with.1
theorem is_O_with.weaken (h : is_O_with c f g' l) (hc : c ≤ c') : is_O_with c' f g' l :=
is_O_with.of_bound $ mem_sets_of_superset h.bound $ λ x hx,
calc ∥f x∥ ≤ c * ∥g' x∥ : hx
... ≤ _ : mul_le_mul_of_nonneg_right hc (norm_nonneg _)
theorem is_O_with.exists_pos (h : is_O_with c f g' l) :
∃ c' (H : 0 < c'), is_O_with c' f g' l :=
⟨max c 1, lt_of_lt_of_le zero_lt_one (le_max_right c 1), h.weaken $ le_max_left c 1⟩
theorem is_O.exists_pos (h : is_O f g' l) : ∃ c (H : 0 < c), is_O_with c f g' l :=
let ⟨c, hc⟩ := h.is_O_with in hc.exists_pos
theorem is_O_with.exists_nonneg (h : is_O_with c f g' l) :
∃ c' (H : 0 ≤ c'), is_O_with c' f g' l :=
let ⟨c, cpos, hc⟩ := h.exists_pos in ⟨c, le_of_lt cpos, hc⟩
theorem is_O.exists_nonneg (h : is_O f g' l) :
∃ c (H : 0 ≤ c), is_O_with c f g' l :=
let ⟨c, hc⟩ := h.is_O_with in hc.exists_nonneg
/-- `f = O(g)` if and only if `is_O_with c f g` for all sufficiently large `c`. -/
lemma is_O_iff_eventually_is_O_with : is_O f g' l ↔ ∀ᶠ c in at_top, is_O_with c f g' l :=
is_O_iff_is_O_with.trans
⟨λ ⟨c, hc⟩, mem_at_top_sets.2 ⟨c, λ c' hc', hc.weaken hc'⟩, λ h, h.exists⟩
/-- `f = O(g)` if and only if `∀ᶠ x in l, ∥f x∥ ≤ c * ∥g x∥` for all sufficiently large `c`. -/
lemma is_O_iff_eventually : is_O f g' l ↔ ∀ᶠ c in at_top, ∀ᶠ x in l, ∥f x∥ ≤ c * ∥g' x∥ :=
is_O_iff_eventually_is_O_with.trans $ by simp only [is_O_with]
/-! ### Subsingleton -/
@[nontriviality] lemma is_o_of_subsingleton [subsingleton E'] : is_o f' g' l :=
is_o.of_bound $ λ c hc, by simp [subsingleton.elim (f' _) 0, mul_nonneg hc.le]
@[nontriviality] lemma is_O_of_subsingleton [subsingleton E'] : is_O f' g' l :=
is_o_of_subsingleton.is_O
/-! ### Congruence -/
theorem is_O_with_congr {c₁ c₂} {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hc : c₁ = c₂) (hf : f₁ =ᶠ[l] f₂) (hg : g₁ =ᶠ[l] g₂) :
is_O_with c₁ f₁ g₁ l ↔ is_O_with c₂ f₂ g₂ l :=
begin
unfold is_O_with,
subst c₂,
apply filter.eventually_congr,
filter_upwards [hf, hg],
assume x e₁ e₂,
rw [e₁, e₂]
end
theorem is_O_with.congr' {c₁ c₂} {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hc : c₁ = c₂) (hf : f₁ =ᶠ[l] f₂) (hg : g₁ =ᶠ[l] g₂) :
is_O_with c₁ f₁ g₁ l → is_O_with c₂ f₂ g₂ l :=
(is_O_with_congr hc hf hg).mp
theorem is_O_with.congr {c₁ c₂} {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hc : c₁ = c₂) (hf : ∀ x, f₁ x = f₂ x) (hg : ∀ x, g₁ x = g₂ x) :
is_O_with c₁ f₁ g₁ l → is_O_with c₂ f₂ g₂ l :=
λ h, h.congr' hc (univ_mem_sets' hf) (univ_mem_sets' hg)
theorem is_O_with.congr_left {f₁ f₂ : α → E} {l : filter α} (hf : ∀ x, f₁ x = f₂ x) :
is_O_with c f₁ g l → is_O_with c f₂ g l :=
is_O_with.congr rfl hf (λ _, rfl)
theorem is_O_with.congr_right {g₁ g₂ : α → F} {l : filter α} (hg : ∀ x, g₁ x = g₂ x) :
is_O_with c f g₁ l → is_O_with c f g₂ l :=
is_O_with.congr rfl (λ _, rfl) hg
theorem is_O_with.congr_const {c₁ c₂} {l : filter α} (hc : c₁ = c₂) :
is_O_with c₁ f g l → is_O_with c₂ f g l :=
is_O_with.congr hc (λ _, rfl) (λ _, rfl)
theorem is_O_congr {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hf : f₁ =ᶠ[l] f₂) (hg : g₁ =ᶠ[l] g₂) :
is_O f₁ g₁ l ↔ is_O f₂ g₂ l :=
by { unfold is_O, exact exists_congr (λ c, is_O_with_congr rfl hf hg) }
theorem is_O.congr' {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hf : f₁ =ᶠ[l] f₂) (hg : g₁ =ᶠ[l] g₂) :
is_O f₁ g₁ l → is_O f₂ g₂ l :=
(is_O_congr hf hg).mp
theorem is_O.congr {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hf : ∀ x, f₁ x = f₂ x) (hg : ∀ x, g₁ x = g₂ x) :
is_O f₁ g₁ l → is_O f₂ g₂ l :=
λ h, h.congr' (univ_mem_sets' hf) (univ_mem_sets' hg)
theorem is_O.congr_left {f₁ f₂ : α → E} {l : filter α} (hf : ∀ x, f₁ x = f₂ x) :
is_O f₁ g l → is_O f₂ g l :=
is_O.congr hf (λ _, rfl)
theorem is_O.congr_right {g₁ g₂ : α → E} {l : filter α} (hg : ∀ x, g₁ x = g₂ x) :
is_O f g₁ l → is_O f g₂ l :=
is_O.congr (λ _, rfl) hg
theorem is_o_congr {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hf : f₁ =ᶠ[l] f₂) (hg : g₁ =ᶠ[l] g₂) :
is_o f₁ g₁ l ↔ is_o f₂ g₂ l :=
by { unfold is_o, exact ball_congr (λ c hc, is_O_with_congr (eq.refl c) hf hg) }
theorem is_o.congr' {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hf : f₁ =ᶠ[l] f₂) (hg : g₁ =ᶠ[l] g₂) :
is_o f₁ g₁ l → is_o f₂ g₂ l :=
(is_o_congr hf hg).mp
theorem is_o.congr {f₁ f₂ : α → E} {g₁ g₂ : α → F} {l : filter α}
(hf : ∀ x, f₁ x = f₂ x) (hg : ∀ x, g₁ x = g₂ x) :
is_o f₁ g₁ l → is_o f₂ g₂ l :=
λ h, h.congr' (univ_mem_sets' hf) (univ_mem_sets' hg)
theorem is_o.congr_left {f₁ f₂ : α → E} {l : filter α} (hf : ∀ x, f₁ x = f₂ x) :
is_o f₁ g l → is_o f₂ g l :=
is_o.congr hf (λ _, rfl)
theorem is_o.congr_right {g₁ g₂ : α → E} {l : filter α} (hg : ∀ x, g₁ x = g₂ x) :
is_o f g₁ l → is_o f g₂ l :=
is_o.congr (λ _, rfl) hg
/-! ### Filter operations and transitivity -/
theorem is_O_with.comp_tendsto (hcfg : is_O_with c f g l)
{k : β → α} {l' : filter β} (hk : tendsto k l' l):
is_O_with c (f ∘ k) (g ∘ k) l' :=
is_O_with.of_bound $ hk hcfg.bound
theorem is_O.comp_tendsto (hfg : is_O f g l) {k : β → α} {l' : filter β} (hk : tendsto k l' l) :
is_O (f ∘ k) (g ∘ k) l' :=
is_O_iff_is_O_with.2 $ hfg.is_O_with.imp (λ c h, h.comp_tendsto hk)
theorem is_o.comp_tendsto (hfg : is_o f g l) {k : β → α} {l' : filter β} (hk : tendsto k l' l) :
is_o (f ∘ k) (g ∘ k) l' :=
is_o.of_is_O_with $ λ c cpos, (hfg.forall_is_O_with cpos).comp_tendsto hk
@[simp] theorem is_O_with_map {k : β → α} {l : filter β} :
is_O_with c f g (map k l) ↔ is_O_with c (f ∘ k) (g ∘ k) l :=
by { unfold is_O_with, exact mem_map }
@[simp] theorem is_O_map {k : β → α} {l : filter β} :
is_O f g (map k l) ↔ is_O (f ∘ k) (g ∘ k) l :=
by simp only [is_O, is_O_with_map]
@[simp] theorem is_o_map {k : β → α} {l : filter β} :
is_o f g (map k l) ↔ is_o (f ∘ k) (g ∘ k) l :=
by simp only [is_o, is_O_with_map]
theorem is_O_with.mono (h : is_O_with c f g l') (hl : l ≤ l') : is_O_with c f g l :=
is_O_with.of_bound $ hl h.bound
theorem is_O.mono (h : is_O f g l') (hl : l ≤ l') : is_O f g l :=
is_O_iff_is_O_with.2 $ h.is_O_with.imp (λ c h, h.mono hl)
theorem is_o.mono (h : is_o f g l') (hl : l ≤ l') : is_o f g l :=
is_o.of_is_O_with $ λ c cpos, (h.forall_is_O_with cpos).mono hl
theorem is_O_with.trans (hfg : is_O_with c f g l) (hgk : is_O_with c' g k l) (hc : 0 ≤ c) :
is_O_with (c * c') f k l :=
begin
unfold is_O_with at *,
filter_upwards [hfg, hgk],
assume x hx hx',
calc ∥f x∥ ≤ c * ∥g x∥ : hx
... ≤ c * (c' * ∥k x∥) : mul_le_mul_of_nonneg_left hx' hc
... = c * c' * ∥k x∥ : (mul_assoc _ _ _).symm
end
theorem is_O.trans (hfg : is_O f g' l) (hgk : is_O g' k l) : is_O f k l :=
let ⟨c, cnonneg, hc⟩ := hfg.exists_nonneg, ⟨c', hc'⟩ := hgk.is_O_with in
(hc.trans hc' cnonneg).is_O
theorem is_o.trans_is_O_with (hfg : is_o f g l) (hgk : is_O_with c g k l) (hc : 0 < c) :
is_o f k l :=
begin
unfold is_o at *,
intros c' c'pos,
have : 0 < c' / c, from div_pos c'pos hc,
exact ((hfg this).trans hgk (le_of_lt this)).congr_const (div_mul_cancel _ (ne_of_gt hc))
end
theorem is_o.trans_is_O (hfg : is_o f g l) (hgk : is_O g k' l) : is_o f k' l :=
let ⟨c, cpos, hc⟩ := hgk.exists_pos in hfg.trans_is_O_with hc cpos
theorem is_O_with.trans_is_o (hfg : is_O_with c f g l) (hgk : is_o g k l) (hc : 0 < c) :
is_o f k l :=
begin
unfold is_o at *,
intros c' c'pos,
have : 0 < c' / c, from div_pos c'pos hc,
exact (hfg.trans (hgk this) (le_of_lt hc)).congr_const (mul_div_cancel' _ (ne_of_gt hc))
end
theorem is_O.trans_is_o (hfg : is_O f g' l) (hgk : is_o g' k l) : is_o f k l :=
let ⟨c, cpos, hc⟩ := hfg.exists_pos in hc.trans_is_o hgk cpos
theorem is_o.trans (hfg : is_o f g l) (hgk : is_o g k' l) : is_o f k' l :=
hfg.trans_is_O hgk.is_O
theorem is_o.trans' (hfg : is_o f g' l) (hgk : is_o g' k l) : is_o f k l :=
hfg.is_O.trans_is_o hgk
section
variable (l)
theorem is_O_with_of_le' (hfg : ∀ x, ∥f x∥ ≤ c * ∥g x∥) : is_O_with c f g l :=
is_O_with.of_bound $ univ_mem_sets' hfg
theorem is_O_with_of_le (hfg : ∀ x, ∥f x∥ ≤ ∥g x∥) : is_O_with 1 f g l :=
is_O_with_of_le' l $ λ x, by { rw one_mul, exact hfg x }
theorem is_O_of_le' (hfg : ∀ x, ∥f x∥ ≤ c * ∥g x∥) : is_O f g l :=
(is_O_with_of_le' l hfg).is_O
theorem is_O_of_le (hfg : ∀ x, ∥f x∥ ≤ ∥g x∥) : is_O f g l :=
(is_O_with_of_le l hfg).is_O
end
theorem is_O_with_refl (f : α → E) (l : filter α) : is_O_with 1 f f l :=
is_O_with_of_le l $ λ _, le_refl _
theorem is_O_refl (f : α → E) (l : filter α) : is_O f f l := (is_O_with_refl f l).is_O
theorem is_O_with.trans_le (hfg : is_O_with c f g l) (hgk : ∀ x, ∥g x∥ ≤ ∥k x∥) (hc : 0 ≤ c) :
is_O_with c f k l :=
(hfg.trans (is_O_with_of_le l hgk) hc).congr_const $ mul_one c
theorem is_O.trans_le (hfg : is_O f g' l) (hgk : ∀ x, ∥g' x∥ ≤ ∥k x∥) :
is_O f k l :=
hfg.trans (is_O_of_le l hgk)
theorem is_o.trans_le (hfg : is_o f g l) (hgk : ∀ x, ∥g x∥ ≤ ∥k x∥) :
is_o f k l :=
hfg.trans_is_O_with (is_O_with_of_le _ hgk) zero_lt_one
section bot
variables (c f g)
@[simp] theorem is_O_with_bot : is_O_with c f g ⊥ := is_O_with.of_bound $ trivial
@[simp] theorem is_O_bot : is_O f g ⊥ := (is_O_with_bot 1 f g).is_O
@[simp] theorem is_o_bot : is_o f g ⊥ := is_o.of_is_O_with $ λ c _, is_O_with_bot c f g
end bot
theorem is_O_with.join (h : is_O_with c f g l) (h' : is_O_with c f g l') :
is_O_with c f g (l ⊔ l') :=
is_O_with.of_bound $ mem_sup_sets.2 ⟨h.bound, h'.bound⟩
theorem is_O_with.join' (h : is_O_with c f g' l) (h' : is_O_with c' f g' l') :
is_O_with (max c c') f g' (l ⊔ l') :=
is_O_with.of_bound $
mem_sup_sets.2 ⟨(h.weaken $ le_max_left c c').bound, (h'.weaken $ le_max_right c c').bound⟩
theorem is_O.join (h : is_O f g' l) (h' : is_O f g' l') : is_O f g' (l ⊔ l') :=
let ⟨c, hc⟩ := h.is_O_with, ⟨c', hc'⟩ := h'.is_O_with in (hc.join' hc').is_O
theorem is_o.join (h : is_o f g l) (h' : is_o f g l') :
is_o f g (l ⊔ l') :=
is_o.of_is_O_with $
λ c cpos, (h.forall_is_O_with cpos).join (h'.forall_is_O_with cpos)
/-! ### Simplification : norm -/
@[simp] theorem is_O_with_norm_right : is_O_with c f (λ x, ∥g' x∥) l ↔ is_O_with c f g' l :=
by simp only [is_O_with, norm_norm]
alias is_O_with_norm_right ↔ asymptotics.is_O_with.of_norm_right asymptotics.is_O_with.norm_right
@[simp] theorem is_O_norm_right : is_O f (λ x, ∥g' x∥) l ↔ is_O f g' l :=
by { unfold is_O, exact exists_congr (λ _, is_O_with_norm_right) }
alias is_O_norm_right ↔ asymptotics.is_O.of_norm_right asymptotics.is_O.norm_right
@[simp] theorem is_o_norm_right : is_o f (λ x, ∥g' x∥) l ↔ is_o f g' l :=
by { unfold is_o, exact forall_congr (λ _, forall_congr $ λ _, is_O_with_norm_right) }
alias is_o_norm_right ↔ asymptotics.is_o.of_norm_right asymptotics.is_o.norm_right
@[simp] theorem is_O_with_norm_left : is_O_with c (λ x, ∥f' x∥) g l ↔ is_O_with c f' g l :=
by simp only [is_O_with, norm_norm]
alias is_O_with_norm_left ↔ asymptotics.is_O_with.of_norm_left asymptotics.is_O_with.norm_left
@[simp] theorem is_O_norm_left : is_O (λ x, ∥f' x∥) g l ↔ is_O f' g l :=
by { unfold is_O, exact exists_congr (λ _, is_O_with_norm_left) }
alias is_O_norm_left ↔ asymptotics.is_O.of_norm_left asymptotics.is_O.norm_left
@[simp] theorem is_o_norm_left : is_o (λ x, ∥f' x∥) g l ↔ is_o f' g l :=
by { unfold is_o, exact forall_congr (λ _, forall_congr $ λ _, is_O_with_norm_left) }
alias is_o_norm_left ↔ asymptotics.is_o.of_norm_left asymptotics.is_o.norm_left
theorem is_O_with_norm_norm :
is_O_with c (λ x, ∥f' x∥) (λ x, ∥g' x∥) l ↔ is_O_with c f' g' l :=
is_O_with_norm_left.trans is_O_with_norm_right
alias is_O_with_norm_norm ↔ asymptotics.is_O_with.of_norm_norm asymptotics.is_O_with.norm_norm
theorem is_O_norm_norm :
is_O (λ x, ∥f' x∥) (λ x, ∥g' x∥) l ↔ is_O f' g' l :=
is_O_norm_left.trans is_O_norm_right
alias is_O_norm_norm ↔ asymptotics.is_O.of_norm_norm asymptotics.is_O.norm_norm
theorem is_o_norm_norm :
is_o (λ x, ∥f' x∥) (λ x, ∥g' x∥) l ↔ is_o f' g' l :=
is_o_norm_left.trans is_o_norm_right
alias is_o_norm_norm ↔ asymptotics.is_o.of_norm_norm asymptotics.is_o.norm_norm
/-! ### Simplification: negate -/
@[simp] theorem is_O_with_neg_right : is_O_with c f (λ x, -(g' x)) l ↔ is_O_with c f g' l :=
by simp only [is_O_with, norm_neg]
alias is_O_with_neg_right ↔ asymptotics.is_O_with.of_neg_right asymptotics.is_O_with.neg_right
@[simp] theorem is_O_neg_right : is_O f (λ x, -(g' x)) l ↔ is_O f g' l :=
by { unfold is_O, exact exists_congr (λ _, is_O_with_neg_right) }
alias is_O_neg_right ↔ asymptotics.is_O.of_neg_right asymptotics.is_O.neg_right
@[simp] theorem is_o_neg_right : is_o f (λ x, -(g' x)) l ↔ is_o f g' l :=
by { unfold is_o, exact forall_congr (λ _, (forall_congr (λ _, is_O_with_neg_right))) }
alias is_o_neg_right ↔ asymptotics.is_o.of_neg_right asymptotics.is_o.neg_right
@[simp] theorem is_O_with_neg_left : is_O_with c (λ x, -(f' x)) g l ↔ is_O_with c f' g l :=
by simp only [is_O_with, norm_neg]
alias is_O_with_neg_left ↔ asymptotics.is_O_with.of_neg_left asymptotics.is_O_with.neg_left
@[simp] theorem is_O_neg_left : is_O (λ x, -(f' x)) g l ↔ is_O f' g l :=
by { unfold is_O, exact exists_congr (λ _, is_O_with_neg_left) }
alias is_O_neg_left ↔ asymptotics.is_O.of_neg_left asymptotics.is_O.neg_left
@[simp] theorem is_o_neg_left : is_o (λ x, -(f' x)) g l ↔ is_o f' g l :=
by { unfold is_o, exact forall_congr (λ _, (forall_congr (λ _, is_O_with_neg_left))) }
alias is_o_neg_left ↔ asymptotics.is_o.of_neg_right asymptotics.is_o.neg_left
/-! ### Product of functions (right) -/
lemma is_O_with_fst_prod : is_O_with 1 f' (λ x, (f' x, g' x)) l :=
is_O_with_of_le l $ λ x, le_max_left _ _
lemma is_O_with_snd_prod : is_O_with 1 g' (λ x, (f' x, g' x)) l :=
is_O_with_of_le l $ λ x, le_max_right _ _
lemma is_O_fst_prod : is_O f' (λ x, (f' x, g' x)) l := is_O_with_fst_prod.is_O
lemma is_O_snd_prod : is_O g' (λ x, (f' x, g' x)) l := is_O_with_snd_prod.is_O
lemma is_O_fst_prod' {f' : α → E' × F'} : is_O (λ x, (f' x).1) f' l :=
by simpa [is_O, is_O_with] using is_O_fst_prod
lemma is_O_snd_prod' {f' : α → E' × F'} : is_O (λ x, (f' x).2) f' l :=
by simpa [is_O, is_O_with] using is_O_snd_prod
section
variables (f' k')
lemma is_O_with.prod_rightl (h : is_O_with c f g' l) (hc : 0 ≤ c) :
is_O_with c f (λ x, (g' x, k' x)) l :=
(h.trans is_O_with_fst_prod hc).congr_const (mul_one c)
lemma is_O.prod_rightl (h : is_O f g' l) : is_O f (λx, (g' x, k' x)) l :=
let ⟨c, cnonneg, hc⟩ := h.exists_nonneg in (hc.prod_rightl k' cnonneg).is_O
lemma is_o.prod_rightl (h : is_o f g' l) : is_o f (λ x, (g' x, k' x)) l :=
is_o.of_is_O_with $
λ c cpos, (h.forall_is_O_with cpos).prod_rightl k' (le_of_lt cpos)
lemma is_O_with.prod_rightr (h : is_O_with c f g' l) (hc : 0 ≤ c) :
is_O_with c f (λ x, (f' x, g' x)) l :=
(h.trans is_O_with_snd_prod hc).congr_const (mul_one c)
lemma is_O.prod_rightr (h : is_O f g' l) : is_O f (λx, (f' x, g' x)) l :=
let ⟨c, cnonneg, hc⟩ := h.exists_nonneg in (hc.prod_rightr f' cnonneg).is_O
lemma is_o.prod_rightr (h : is_o f g' l) : is_o f (λx, (f' x, g' x)) l :=
is_o.of_is_O_with $
λ c cpos, (h.forall_is_O_with cpos).prod_rightr f' (le_of_lt cpos)
end
lemma is_O_with.prod_left_same (hf : is_O_with c f' k' l) (hg : is_O_with c g' k' l) :
is_O_with c (λ x, (f' x, g' x)) k' l :=
by rw is_O_with_iff at *; filter_upwards [hf, hg] λ x, max_le
lemma is_O_with.prod_left (hf : is_O_with c f' k' l) (hg : is_O_with c' g' k' l) :
is_O_with (max c c') (λ x, (f' x, g' x)) k' l :=
(hf.weaken $ le_max_left c c').prod_left_same (hg.weaken $ le_max_right c c')
lemma is_O_with.prod_left_fst (h : is_O_with c (λ x, (f' x, g' x)) k' l) :
is_O_with c f' k' l :=
(is_O_with_fst_prod.trans h zero_le_one).congr_const $ one_mul c
lemma is_O_with.prod_left_snd (h : is_O_with c (λ x, (f' x, g' x)) k' l) :
is_O_with c g' k' l :=
(is_O_with_snd_prod.trans h zero_le_one).congr_const $ one_mul c
lemma is_O_with_prod_left :
is_O_with c (λ x, (f' x, g' x)) k' l ↔ is_O_with c f' k' l ∧ is_O_with c g' k' l :=
⟨λ h, ⟨h.prod_left_fst, h.prod_left_snd⟩, λ h, h.1.prod_left_same h.2⟩
lemma is_O.prod_left (hf : is_O f' k' l) (hg : is_O g' k' l) : is_O (λ x, (f' x, g' x)) k' l :=
let ⟨c, hf⟩ := hf.is_O_with, ⟨c', hg⟩ := hg.is_O_with in (hf.prod_left hg).is_O
lemma is_O.prod_left_fst (h : is_O (λ x, (f' x, g' x)) k' l) : is_O f' k' l :=
is_O_fst_prod.trans h
lemma is_O.prod_left_snd (h : is_O (λ x, (f' x, g' x)) k' l) : is_O g' k' l :=
is_O_snd_prod.trans h
@[simp] lemma is_O_prod_left :
is_O (λ x, (f' x, g' x)) k' l ↔ is_O f' k' l ∧ is_O g' k' l :=
⟨λ h, ⟨h.prod_left_fst, h.prod_left_snd⟩, λ h, h.1.prod_left h.2⟩
lemma is_o.prod_left (hf : is_o f' k' l) (hg : is_o g' k' l) : is_o (λ x, (f' x, g' x)) k' l :=
is_o.of_is_O_with $
λ c hc, (hf.forall_is_O_with hc).prod_left_same (hg.forall_is_O_with hc)
lemma is_o.prod_left_fst (h : is_o (λ x, (f' x, g' x)) k' l) : is_o f' k' l :=
is_O_fst_prod.trans_is_o h
lemma is_o.prod_left_snd (h : is_o (λ x, (f' x, g' x)) k' l) : is_o g' k' l :=
is_O_snd_prod.trans_is_o h
@[simp] lemma is_o_prod_left :
is_o (λ x, (f' x, g' x)) k' l ↔ is_o f' k' l ∧ is_o g' k' l :=
⟨λ h, ⟨h.prod_left_fst, h.prod_left_snd⟩, λ h, h.1.prod_left h.2⟩
lemma is_O_with.eq_zero_imp (h : is_O_with c f' g' l) : ∀ᶠ x in l, g' x = 0 → f' x = 0 :=
eventually.mono h.bound $ λ x hx hg, norm_le_zero_iff.1 $ by simpa [hg] using hx
lemma is_O.eq_zero_imp (h : is_O f' g' l) : ∀ᶠ x in l, g' x = 0 → f' x = 0 :=
let ⟨C, hC⟩ := h.is_O_with in hC.eq_zero_imp
/-! ### Addition and subtraction -/
section add_sub
variables {c₁ c₂ : ℝ} {f₁ f₂ : α → E'}
theorem is_O_with.add (h₁ : is_O_with c₁ f₁ g l) (h₂ : is_O_with c₂ f₂ g l) :
is_O_with (c₁ + c₂) (λ x, f₁ x + f₂ x) g l :=
by rw is_O_with at *; filter_upwards [h₁, h₂] λ x hx₁ hx₂,
calc ∥f₁ x + f₂ x∥ ≤ c₁ * ∥g x∥ + c₂ * ∥g x∥ : norm_add_le_of_le hx₁ hx₂
... = (c₁ + c₂) * ∥g x∥ : (add_mul _ _ _).symm
theorem is_O.add (h₁ : is_O f₁ g l) (h₂ : is_O f₂ g l) : is_O (λ x, f₁ x + f₂ x) g l :=
let ⟨c₁, hc₁⟩ := h₁.is_O_with, ⟨c₂, hc₂⟩ := h₂.is_O_with in (hc₁.add hc₂).is_O
theorem is_o.add (h₁ : is_o f₁ g l) (h₂ : is_o f₂ g l) : is_o (λ x, f₁ x + f₂ x) g l :=
is_o.of_is_O_with $ λ c cpos, ((h₁.forall_is_O_with $ half_pos cpos).add
(h₂.forall_is_O_with $ half_pos cpos)).congr_const (add_halves c)
theorem is_o.add_add {g₁ g₂ : α → F'} (h₁ : is_o f₁ g₁ l) (h₂ : is_o f₂ g₂ l) :
is_o (λ x, f₁ x + f₂ x) (λ x, ∥g₁ x∥ + ∥g₂ x∥) l :=
by refine (h₁.trans_le $ λ x, _).add (h₂.trans_le _);
simp [real.norm_eq_abs, abs_of_nonneg, add_nonneg]
theorem is_O.add_is_o (h₁ : is_O f₁ g l) (h₂ : is_o f₂ g l) : is_O (λ x, f₁ x + f₂ x) g l :=
h₁.add h₂.is_O
theorem is_o.add_is_O (h₁ : is_o f₁ g l) (h₂ : is_O f₂ g l) : is_O (λ x, f₁ x + f₂ x) g l :=
h₁.is_O.add h₂
theorem is_O_with.add_is_o (h₁ : is_O_with c₁ f₁ g l) (h₂ : is_o f₂ g l) (hc : c₁ < c₂) :
is_O_with c₂ (λx, f₁ x + f₂ x) g l :=
(h₁.add (h₂.forall_is_O_with (sub_pos.2 hc))).congr_const (add_sub_cancel'_right _ _)
theorem is_o.add_is_O_with (h₁ : is_o f₁ g l) (h₂ : is_O_with c₁ f₂ g l) (hc : c₁ < c₂) :
is_O_with c₂ (λx, f₁ x + f₂ x) g l :=
(h₂.add_is_o h₁ hc).congr_left $ λ _, add_comm _ _
theorem is_O_with.sub (h₁ : is_O_with c₁ f₁ g l) (h₂ : is_O_with c₂ f₂ g l) :
is_O_with (c₁ + c₂) (λ x, f₁ x - f₂ x) g l :=
by simpa only [sub_eq_add_neg] using h₁.add h₂.neg_left
theorem is_O_with.sub_is_o (h₁ : is_O_with c₁ f₁ g l) (h₂ : is_o f₂ g l) (hc : c₁ < c₂) :
is_O_with c₂ (λ x, f₁ x - f₂ x) g l :=
by simpa only [sub_eq_add_neg] using h₁.add_is_o h₂.neg_left hc
theorem is_O.sub (h₁ : is_O f₁ g l) (h₂ : is_O f₂ g l) : is_O (λ x, f₁ x - f₂ x) g l :=
by simpa only [sub_eq_add_neg] using h₁.add h₂.neg_left
theorem is_o.sub (h₁ : is_o f₁ g l) (h₂ : is_o f₂ g l) : is_o (λ x, f₁ x - f₂ x) g l :=
by simpa only [sub_eq_add_neg] using h₁.add h₂.neg_left
end add_sub
/-! ### Lemmas about `is_O (f₁ - f₂) g l` / `is_o (f₁ - f₂) g l` treated as a binary relation -/
section is_oO_as_rel
variables {f₁ f₂ f₃ : α → E'}
theorem is_O_with.symm (h : is_O_with c (λ x, f₁ x - f₂ x) g l) :
is_O_with c (λ x, f₂ x - f₁ x) g l :=
h.neg_left.congr_left $ λ x, neg_sub _ _
theorem is_O_with_comm :
is_O_with c (λ x, f₁ x - f₂ x) g l ↔ is_O_with c (λ x, f₂ x - f₁ x) g l :=
⟨is_O_with.symm, is_O_with.symm⟩
theorem is_O.symm (h : is_O (λ x, f₁ x - f₂ x) g l) : is_O (λ x, f₂ x - f₁ x) g l :=
h.neg_left.congr_left $ λ x, neg_sub _ _
theorem is_O_comm : is_O (λ x, f₁ x - f₂ x) g l ↔ is_O (λ x, f₂ x - f₁ x) g l :=
⟨is_O.symm, is_O.symm⟩
theorem is_o.symm (h : is_o (λ x, f₁ x - f₂ x) g l) : is_o (λ x, f₂ x - f₁ x) g l :=
by simpa only [neg_sub] using h.neg_left
theorem is_o_comm : is_o (λ x, f₁ x - f₂ x) g l ↔ is_o (λ x, f₂ x - f₁ x) g l :=
⟨is_o.symm, is_o.symm⟩
theorem is_O_with.triangle (h₁ : is_O_with c (λ x, f₁ x - f₂ x) g l)
(h₂ : is_O_with c' (λ x, f₂ x - f₃ x) g l) :
is_O_with (c + c') (λ x, f₁ x - f₃ x) g l :=
(h₁.add h₂).congr_left $ λ x, sub_add_sub_cancel _ _ _
theorem is_O.triangle (h₁ : is_O (λ x, f₁ x - f₂ x) g l) (h₂ : is_O (λ x, f₂ x - f₃ x) g l) :
is_O (λ x, f₁ x - f₃ x) g l :=
(h₁.add h₂).congr_left $ λ x, sub_add_sub_cancel _ _ _
theorem is_o.triangle (h₁ : is_o (λ x, f₁ x - f₂ x) g l) (h₂ : is_o (λ x, f₂ x - f₃ x) g l) :
is_o (λ x, f₁ x - f₃ x) g l :=
(h₁.add h₂).congr_left $ λ x, sub_add_sub_cancel _ _ _
theorem is_O.congr_of_sub (h : is_O (λ x, f₁ x - f₂ x) g l) :
is_O f₁ g l ↔ is_O f₂ g l :=
⟨λ h', (h'.sub h).congr_left (λ x, sub_sub_cancel _ _),
λ h', (h.add h').congr_left (λ x, sub_add_cancel _ _)⟩
theorem is_o.congr_of_sub (h : is_o (λ x, f₁ x - f₂ x) g l) :
is_o f₁ g l ↔ is_o f₂ g l :=
⟨λ h', (h'.sub h).congr_left (λ x, sub_sub_cancel _ _),
λ h', (h.add h').congr_left (λ x, sub_add_cancel _ _)⟩
end is_oO_as_rel
/-! ### Zero, one, and other constants -/
section zero_const
variables (g g' l)
theorem is_o_zero : is_o (λ x, (0 : E')) g' l :=
is_o.of_bound $ λ c hc, univ_mem_sets' $ λ x,
by simpa using mul_nonneg (le_of_lt hc) (norm_nonneg $ g' x)
theorem is_O_with_zero (hc : 0 ≤ c) : is_O_with c (λ x, (0 : E')) g' l :=
is_O_with.of_bound $ univ_mem_sets' $ λ x, by simpa using mul_nonneg hc (norm_nonneg $ g' x)
theorem is_O_with_zero' : is_O_with 0 (λ x, (0 : E')) g l :=
is_O_with.of_bound $ univ_mem_sets' $ λ x, by simp
theorem is_O_zero : is_O (λ x, (0 : E')) g l :=
is_O_iff_is_O_with.2 ⟨0, is_O_with_zero' _ _⟩
theorem is_O_refl_left : is_O (λ x, f' x - f' x) g' l :=
(is_O_zero g' l).congr_left $ λ x, (sub_self _).symm
theorem is_o_refl_left : is_o (λ x, f' x - f' x) g' l :=
(is_o_zero g' l).congr_left $ λ x, (sub_self _).symm
variables {g g' l}
@[simp] theorem is_O_with_zero_right_iff :
is_O_with c f' (λ x, (0 : F')) l ↔ ∀ᶠ x in l, f' x = 0 :=
by simp only [is_O_with, exists_prop, true_and, norm_zero, mul_zero, norm_le_zero_iff]
@[simp] theorem is_O_zero_right_iff : is_O f' (λ x, (0 : F')) l ↔ ∀ᶠ x in l, f' x = 0 :=
⟨λ h, let ⟨c, hc⟩ := h.is_O_with in is_O_with_zero_right_iff.1 hc,
λ h, (is_O_with_zero_right_iff.2 h : is_O_with 1 _ _ _).is_O⟩
@[simp] theorem is_o_zero_right_iff :
is_o f' (λ x, (0 : F')) l ↔ ∀ᶠ x in l, f' x = 0 :=
⟨λ h, is_O_zero_right_iff.1 h.is_O,
λ h, is_o.of_is_O_with $ λ c hc, is_O_with_zero_right_iff.2 h⟩
theorem is_O_with_const_const (c : E) {c' : F'} (hc' : c' ≠ 0) (l : filter α) :
is_O_with (∥c∥ / ∥c'∥) (λ x : α, c) (λ x, c') l :=
begin
unfold is_O_with,
apply univ_mem_sets',
intro x,
rw [mem_set_of_eq, div_mul_cancel],
rwa [ne.def, norm_eq_zero]
end
theorem is_O_const_const (c : E) {c' : F'} (hc' : c' ≠ 0) (l : filter α) :
is_O (λ x : α, c) (λ x, c') l :=
(is_O_with_const_const c hc' l).is_O
end zero_const
@[simp] lemma is_O_with_top : is_O_with c f g ⊤ ↔ ∀ x, ∥f x∥ ≤ c * ∥g x∥ := by rw is_O_with; refl
@[simp] lemma is_O_top : is_O f g ⊤ ↔ ∃ C, ∀ x, ∥f x∥ ≤ C * ∥g x∥ := by rw is_O_iff; refl
@[simp] lemma is_o_top : is_o f' g' ⊤ ↔ ∀ x, f' x = 0 :=
begin
refine ⟨_, λ h, (is_o_zero g' ⊤).congr (λ x, (h x).symm) (λ x, rfl)⟩,
simp only [is_o_iff, eventually_top],
refine λ h x, norm_le_zero_iff.1 _,
have : tendsto (λ c : ℝ, c * ∥g' x∥) (𝓝[Ioi 0] 0) (𝓝 0) :=
((continuous_id.mul continuous_const).tendsto' _ _ (zero_mul _)).mono_left inf_le_left,
exact le_of_tendsto_of_tendsto tendsto_const_nhds this
(eventually_nhds_within_iff.2 $ eventually_of_forall $ λ c hc, h hc x)
end
@[simp] lemma is_O_with_principal {s : set α} :
is_O_with c f g (𝓟 s) ↔ ∀ x ∈ s, ∥f x∥ ≤ c * ∥g x∥ :=
by rw is_O_with; refl
lemma is_O_principal {s : set α} :
is_O f g (𝓟 s) ↔ ∃ c, ∀ x ∈ s, ∥f x∥ ≤ c * ∥g x∥ :=
by rw is_O_iff; refl
theorem is_O_with_const_one (c : E) (l : filter α) : is_O_with ∥c∥ (λ x : α, c) (λ x, (1 : 𝕜)) l :=
begin
refine (is_O_with_const_const c _ l).congr_const _,
{ rw [norm_one, div_one] },
{ exact one_ne_zero }
end
theorem is_O_const_one (c : E) (l : filter α) : is_O (λ x : α, c) (λ x, (1 : 𝕜)) l :=
(is_O_with_const_one c l).is_O
section
variable (𝕜)
theorem is_o_const_iff_is_o_one {c : F'} (hc : c ≠ 0) :
is_o f (λ x, c) l ↔ is_o f (λ x, (1:𝕜)) l :=
⟨λ h, h.trans_is_O $ is_O_const_one c l, λ h, h.trans_is_O $ is_O_const_const _ hc _⟩
end
theorem is_o_const_iff {c : F'} (hc : c ≠ 0) :
is_o f' (λ x, c) l ↔ tendsto f' l (𝓝 0) :=
(is_o_const_iff_is_o_one ℝ hc).trans
begin
clear hc c,
simp only [is_o, is_O_with, norm_one, mul_one, metric.nhds_basis_closed_ball.tendsto_right_iff,
metric.mem_closed_ball, dist_zero_right]
end
lemma is_o_id_const {c : F'} (hc : c ≠ 0) :
is_o (λ (x : E'), x) (λ x, c) (𝓝 0) :=
(is_o_const_iff hc).mpr (continuous_id.tendsto 0)
theorem is_O_const_of_tendsto {y : E'} (h : tendsto f' l (𝓝 y)) {c : F'} (hc : c ≠ 0) :
is_O f' (λ x, c) l :=
begin
refine is_O.trans _ (is_O_const_const (∥y∥ + 1) hc l),
refine is_O.of_bound 1 _,
simp only [is_O_with, one_mul],
have : tendsto (λx, ∥f' x∥) l (𝓝 ∥y∥), from (continuous_norm.tendsto _).comp h,
have Iy : ∥y∥ < ∥∥y∥ + 1∥, from lt_of_lt_of_le (lt_add_one _) (le_abs_self _),
exact this (ge_mem_nhds Iy)
end
section
variable (𝕜)
theorem is_o_one_iff : is_o f' (λ x, (1 : 𝕜)) l ↔ tendsto f' l (𝓝 0) :=
is_o_const_iff one_ne_zero
theorem is_O_one_of_tendsto {y : E'} (h : tendsto f' l (𝓝 y)) :
is_O f' (λ x, (1:𝕜)) l :=
is_O_const_of_tendsto h one_ne_zero
theorem is_O.trans_tendsto_nhds (hfg : is_O f g' l) {y : F'} (hg : tendsto g' l (𝓝 y)) :
is_O f (λ x, (1:𝕜)) l :=
hfg.trans $ is_O_one_of_tendsto 𝕜 hg
end
theorem is_O.trans_tendsto (hfg : is_O f' g' l) (hg : tendsto g' l (𝓝 0)) :
tendsto f' l (𝓝 0) :=
(is_o_one_iff ℝ).1 $ hfg.trans_is_o $ (is_o_one_iff ℝ).2 hg
theorem is_o.trans_tendsto (hfg : is_o f' g' l) (hg : tendsto g' l (𝓝 0)) :
tendsto f' l (𝓝 0) :=
hfg.is_O.trans_tendsto hg
/-! ### Multiplication by a constant -/
theorem is_O_with_const_mul_self (c : R) (f : α → R) (l : filter α) :
is_O_with ∥c∥ (λ x, c * f x) f l :=
is_O_with_of_le' _ $ λ x, norm_mul_le _ _
theorem is_O_const_mul_self (c : R) (f : α → R) (l : filter α) :
is_O (λ x, c * f x) f l :=
(is_O_with_const_mul_self c f l).is_O
theorem is_O_with.const_mul_left {f : α → R} (h : is_O_with c f g l) (c' : R) :
is_O_with (∥c'∥ * c) (λ x, c' * f x) g l :=
(is_O_with_const_mul_self c' f l).trans h (norm_nonneg c')
theorem is_O.const_mul_left {f : α → R} (h : is_O f g l) (c' : R) :
is_O (λ x, c' * f x) g l :=
let ⟨c, hc⟩ := h.is_O_with in (hc.const_mul_left c').is_O
theorem is_O_with_self_const_mul' (u : units R) (f : α → R) (l : filter α) :
is_O_with ∥(↑u⁻¹:R)∥ f (λ x, ↑u * f x) l :=
(is_O_with_const_mul_self ↑u⁻¹ _ l).congr_left $ λ x, u.inv_mul_cancel_left (f x)
theorem is_O_with_self_const_mul (c : 𝕜) (hc : c ≠ 0) (f : α → 𝕜) (l : filter α) :
is_O_with ∥c∥⁻¹ f (λ x, c * f x) l :=
(is_O_with_self_const_mul' (units.mk0 c hc) f l).congr_const $
normed_field.norm_inv c
theorem is_O_self_const_mul' {c : R} (hc : is_unit c) (f : α → R) (l : filter α) :
is_O f (λ x, c * f x) l :=
let ⟨u, hu⟩ := hc in hu ▸ (is_O_with_self_const_mul' u f l).is_O
theorem is_O_self_const_mul (c : 𝕜) (hc : c ≠ 0) (f : α → 𝕜) (l : filter α) :
is_O f (λ x, c * f x) l :=
is_O_self_const_mul' (is_unit.mk0 c hc) f l
theorem is_O_const_mul_left_iff' {f : α → R} {c : R} (hc : is_unit c) :
is_O (λ x, c * f x) g l ↔ is_O f g l :=
⟨(is_O_self_const_mul' hc f l).trans, λ h, h.const_mul_left c⟩
theorem is_O_const_mul_left_iff {f : α → 𝕜} {c : 𝕜} (hc : c ≠ 0) :
is_O (λ x, c * f x) g l ↔ is_O f g l :=
is_O_const_mul_left_iff' $ is_unit.mk0 c hc
theorem is_o.const_mul_left {f : α → R} (h : is_o f g l) (c : R) :
is_o (λ x, c * f x) g l :=
(is_O_const_mul_self c f l).trans_is_o h
theorem is_o_const_mul_left_iff' {f : α → R} {c : R} (hc : is_unit c) :
is_o (λ x, c * f x) g l ↔ is_o f g l :=
⟨(is_O_self_const_mul' hc f l).trans_is_o, λ h, h.const_mul_left c⟩
theorem is_o_const_mul_left_iff {f : α → 𝕜} {c : 𝕜} (hc : c ≠ 0) :
is_o (λ x, c * f x) g l ↔ is_o f g l :=
is_o_const_mul_left_iff' $ is_unit.mk0 c hc
theorem is_O_with.of_const_mul_right {g : α → R} {c : R} (hc' : 0 ≤ c')
(h : is_O_with c' f (λ x, c * g x) l) :
is_O_with (c' * ∥c∥) f g l :=
h.trans (is_O_with_const_mul_self c g l) hc'
theorem is_O.of_const_mul_right {g : α → R} {c : R}
(h : is_O f (λ x, c * g x) l) :
is_O f g l :=
let ⟨c, cnonneg, hc⟩ := h.exists_nonneg in (hc.of_const_mul_right cnonneg).is_O
theorem is_O_with.const_mul_right' {g : α → R} {u : units R} {c' : ℝ} (hc' : 0 ≤ c')
(h : is_O_with c' f g l) :
is_O_with (c' * ∥(↑u⁻¹:R)∥) f (λ x, ↑u * g x) l :=
h.trans (is_O_with_self_const_mul' _ _ _) hc'
theorem is_O_with.const_mul_right {g : α → 𝕜} {c : 𝕜} (hc : c ≠ 0)
{c' : ℝ} (hc' : 0 ≤ c') (h : is_O_with c' f g l) :
is_O_with (c' * ∥c∥⁻¹) f (λ x, c * g x) l :=
h.trans (is_O_with_self_const_mul c hc g l) hc'
theorem is_O.const_mul_right' {g : α → R} {c : R} (hc : is_unit c) (h : is_O f g l) :
is_O f (λ x, c * g x) l :=
h.trans (is_O_self_const_mul' hc g l)
theorem is_O.const_mul_right {g : α → 𝕜} {c : 𝕜} (hc : c ≠ 0) (h : is_O f g l) :
is_O f (λ x, c * g x) l :=
h.const_mul_right' $ is_unit.mk0 c hc
theorem is_O_const_mul_right_iff' {g : α → R} {c : R} (hc : is_unit c) :
is_O f (λ x, c * g x) l ↔ is_O f g l :=
⟨λ h, h.of_const_mul_right, λ h, h.const_mul_right' hc⟩
theorem is_O_const_mul_right_iff {g : α → 𝕜} {c : 𝕜} (hc : c ≠ 0) :
is_O f (λ x, c * g x) l ↔ is_O f g l :=
is_O_const_mul_right_iff' $ is_unit.mk0 c hc
theorem is_o.of_const_mul_right {g : α → R} {c : R} (h : is_o f (λ x, c * g x) l) :
is_o f g l :=
h.trans_is_O (is_O_const_mul_self c g l)
theorem is_o.const_mul_right' {g : α → R} {c : R} (hc : is_unit c) (h : is_o f g l) :
is_o f (λ x, c * g x) l :=
h.trans_is_O (is_O_self_const_mul' hc g l)
theorem is_o.const_mul_right {g : α → 𝕜} {c : 𝕜} (hc : c ≠ 0) (h : is_o f g l) :
is_o f (λ x, c * g x) l :=
h.const_mul_right' $ is_unit.mk0 c hc
theorem is_o_const_mul_right_iff' {g : α → R} {c : R} (hc : is_unit c) :
is_o f (λ x, c * g x) l ↔ is_o f g l :=
⟨λ h, h.of_const_mul_right, λ h, h.const_mul_right' hc⟩
theorem is_o_const_mul_right_iff {g : α → 𝕜} {c : 𝕜} (hc : c ≠ 0) :
is_o f (λ x, c * g x) l ↔ is_o f g l :=
is_o_const_mul_right_iff' $ is_unit.mk0 c hc
/-! ### Multiplication -/
theorem is_O_with.mul {f₁ f₂ : α → R} {g₁ g₂ : α → 𝕜} {c₁ c₂ : ℝ}
(h₁ : is_O_with c₁ f₁ g₁ l) (h₂ : is_O_with c₂ f₂ g₂ l) :
is_O_with (c₁ * c₂) (λ x, f₁ x * f₂ x) (λ x, g₁ x * g₂ x) l :=
begin
unfold is_O_with at *,
filter_upwards [h₁, h₂],
intros x hx₁ hx₂,
apply le_trans (norm_mul_le _ _),
convert mul_le_mul hx₁ hx₂ (norm_nonneg _) (le_trans (norm_nonneg _) hx₁) using 1,
rw normed_field.norm_mul,
ac_refl
end
theorem is_O.mul {f₁ f₂ : α → R} {g₁ g₂ : α → 𝕜}
(h₁ : is_O f₁ g₁ l) (h₂ : is_O f₂ g₂ l) :
is_O (λ x, f₁ x * f₂ x) (λ x, g₁ x * g₂ x) l :=
let ⟨c, hc⟩ := h₁.is_O_with, ⟨c', hc'⟩ := h₂.is_O_with in (hc.mul hc').is_O
theorem is_O.mul_is_o {f₁ f₂ : α → R} {g₁ g₂ : α → 𝕜}
(h₁ : is_O f₁ g₁ l) (h₂ : is_o f₂ g₂ l) :
is_o (λ x, f₁ x * f₂ x) (λ x, g₁ x * g₂ x) l :=
begin
unfold is_o at *,
intros c cpos,
rcases h₁.exists_pos with ⟨c', c'pos, hc'⟩,
exact (hc'.mul (h₂ (div_pos cpos c'pos))).congr_const (mul_div_cancel' _ (ne_of_gt c'pos))
end
theorem is_o.mul_is_O {f₁ f₂ : α → R} {g₁ g₂ : α → 𝕜}
(h₁ : is_o f₁ g₁ l) (h₂ : is_O f₂ g₂ l) :
is_o (λ x, f₁ x * f₂ x) (λ x, g₁ x * g₂ x) l :=
begin
unfold is_o at *,
intros c cpos,
rcases h₂.exists_pos with ⟨c', c'pos, hc'⟩,
exact ((h₁ (div_pos cpos c'pos)).mul hc').congr_const (div_mul_cancel _ (ne_of_gt c'pos))
end
theorem is_o.mul {f₁ f₂ : α → R} {g₁ g₂ : α → 𝕜} (h₁ : is_o f₁ g₁ l) (h₂ : is_o f₂ g₂ l) :
is_o (λ x, f₁ x * f₂ x) (λ x, g₁ x * g₂ x) l :=
h₁.mul_is_O h₂.is_O
theorem is_O_with.pow' {f : α → R} {g : α → 𝕜} (h : is_O_with c f g l) :
∀ n : ℕ, is_O_with (nat.cases_on n ∥(1 : R)∥ (λ n, c ^ (n + 1))) (λ x, f x ^ n) (λ x, g x ^ n) l
| 0 := by simpa using is_O_with_const_const (1 : R) (@one_ne_zero 𝕜 _ _) l
| 1 := by simpa
| (n + 2) := by simpa [pow_succ] using h.mul (is_O_with.pow' (n + 1))
theorem is_O_with.pow [norm_one_class R] {f : α → R} {g : α → 𝕜} (h : is_O_with c f g l) :
∀ n : ℕ, is_O_with (c ^ n) (λ x, f x ^ n) (λ x, g x ^ n) l
| 0 := by simpa using h.pow' 0
| (n + 1) := h.pow' (n + 1)
theorem is_O.pow {f : α → R} {g : α → 𝕜} (h : is_O f g l) (n : ℕ) :
is_O (λ x, f x ^ n) (λ x, g x ^ n) l :=
let ⟨C, hC⟩ := h.is_O_with in is_O_iff_is_O_with.2 ⟨_, hC.pow' n⟩
theorem is_o.pow {f : α → R} {g : α → 𝕜} (h : is_o f g l) {n : ℕ} (hn : 0 < n) :
is_o (λ x, f x ^ n) (λ x, g x ^ n) l :=
begin
cases n, exact hn.false.elim, clear hn,
induction n with n ihn, { simpa only [pow_one] },
convert h.mul ihn; simp [pow_succ]
end
/-! ### Scalar multiplication -/
section smul_const
variables [normed_space 𝕜 E']
theorem is_O_with.const_smul_left (h : is_O_with c f' g l) (c' : 𝕜) :
is_O_with (∥c'∥ * c) (λ x, c' • f' x) g l :=
by refine ((h.norm_left.const_mul_left (∥c'∥)).congr _ _ (λ _, rfl)).of_norm_left;
intros; simp only [norm_norm, norm_smul]
theorem is_O_const_smul_left_iff {c : 𝕜} (hc : c ≠ 0) :
is_O (λ x, c • f' x) g l ↔ is_O f' g l :=
begin
have cne0 : ∥c∥ ≠ 0, from mt norm_eq_zero.mp hc,
rw [←is_O_norm_left], simp only [norm_smul],
rw [is_O_const_mul_left_iff cne0, is_O_norm_left],
end
theorem is_o_const_smul_left (h : is_o f' g l) (c : 𝕜) :
is_o (λ x, c • f' x) g l :=
begin
refine ((h.norm_left.const_mul_left (∥c∥)).congr_left _).of_norm_left,
exact λ x, (norm_smul _ _).symm
end
theorem is_o_const_smul_left_iff {c : 𝕜} (hc : c ≠ 0) :
is_o (λ x, c • f' x) g l ↔ is_o f' g l :=
begin
have cne0 : ∥c∥ ≠ 0, from mt norm_eq_zero.mp hc,
rw [←is_o_norm_left], simp only [norm_smul],
rw [is_o_const_mul_left_iff cne0, is_o_norm_left]
end
theorem is_O_const_smul_right {c : 𝕜} (hc : c ≠ 0) :
is_O f (λ x, c • f' x) l ↔ is_O f f' l :=
begin
have cne0 : ∥c∥ ≠ 0, from mt norm_eq_zero.mp hc,
rw [←is_O_norm_right], simp only [norm_smul],
rw [is_O_const_mul_right_iff cne0, is_O_norm_right]
end
theorem is_o_const_smul_right {c : 𝕜} (hc : c ≠ 0) :
is_o f (λ x, c • f' x) l ↔ is_o f f' l :=
begin
have cne0 : ∥c∥ ≠ 0, from mt norm_eq_zero.mp hc,
rw [←is_o_norm_right], simp only [norm_smul],
rw [is_o_const_mul_right_iff cne0, is_o_norm_right]
end
end smul_const
section smul
variables [normed_space 𝕜 E'] [normed_space 𝕜 F']
theorem is_O_with.smul {k₁ k₂ : α → 𝕜} (h₁ : is_O_with c k₁ k₂ l) (h₂ : is_O_with c' f' g' l) :
is_O_with (c * c') (λ x, k₁ x • f' x) (λ x, k₂ x • g' x) l :=
by refine ((h₁.norm_norm.mul h₂.norm_norm).congr rfl _ _).of_norm_norm;
by intros; simp only [norm_smul]
theorem is_O.smul {k₁ k₂ : α → 𝕜} (h₁ : is_O k₁ k₂ l) (h₂ : is_O f' g' l) :
is_O (λ x, k₁ x • f' x) (λ x, k₂ x • g' x) l :=
by refine ((h₁.norm_norm.mul h₂.norm_norm).congr _ _).of_norm_norm;
by intros; simp only [norm_smul]
theorem is_O.smul_is_o {k₁ k₂ : α → 𝕜} (h₁ : is_O k₁ k₂ l) (h₂ : is_o f' g' l) :
is_o (λ x, k₁ x • f' x) (λ x, k₂ x • g' x) l :=
by refine ((h₁.norm_norm.mul_is_o h₂.norm_norm).congr _ _).of_norm_norm;
by intros; simp only [norm_smul]
theorem is_o.smul_is_O {k₁ k₂ : α → 𝕜} (h₁ : is_o k₁ k₂ l) (h₂ : is_O f' g' l) :
is_o (λ x, k₁ x • f' x) (λ x, k₂ x • g' x) l :=
by refine ((h₁.norm_norm.mul_is_O h₂.norm_norm).congr _ _).of_norm_norm;
by intros; simp only [norm_smul]
theorem is_o.smul {k₁ k₂ : α → 𝕜} (h₁ : is_o k₁ k₂ l) (h₂ : is_o f' g' l) :
is_o (λ x, k₁ x • f' x) (λ x, k₂ x • g' x) l :=
by refine ((h₁.norm_norm.mul h₂.norm_norm).congr _ _).of_norm_norm;
by intros; simp only [norm_smul]
end smul
/-! ### Sum -/
section sum
variables {ι : Type*} {A : ι → α → E'} {C : ι → ℝ} {s : finset ι}
theorem is_O_with.sum (h : ∀ i ∈ s, is_O_with (C i) (A i) g l) :
is_O_with (∑ i in s, C i) (λ x, ∑ i in s, A i x) g l :=
begin
induction s using finset.induction_on with i s is IH,
{ simp only [is_O_with_zero', finset.sum_empty, forall_true_iff] },
{ simp only [is, finset.sum_insert, not_false_iff],
exact (h _ (finset.mem_insert_self i s)).add (IH (λ j hj, h _ (finset.mem_insert_of_mem hj))) }
end
theorem is_O.sum (h : ∀ i ∈ s, is_O (A i) g l) :
is_O (λ x, ∑ i in s, A i x) g l :=
begin
induction s using finset.induction_on with i s is IH,
{ simp only [is_O_zero, finset.sum_empty, forall_true_iff] },
{ simp only [is, finset.sum_insert, not_false_iff],
exact (h _ (finset.mem_insert_self i s)).add (IH (λ j hj, h _ (finset.mem_insert_of_mem hj))) }
end
theorem is_o.sum (h : ∀ i ∈ s, is_o (A i) g' l) :
is_o (λ x, ∑ i in s, A i x) g' l :=
begin
induction s using finset.induction_on with i s is IH,
{ simp only [is_o_zero, finset.sum_empty, forall_true_iff] },
{ simp only [is, finset.sum_insert, not_false_iff],
exact (h _ (finset.mem_insert_self i s)).add (IH (λ j hj, h _ (finset.mem_insert_of_mem hj))) }
end
end sum
/-! ### Relation between `f = o(g)` and `f / g → 0` -/
theorem is_o.tendsto_0 {f g : α → 𝕜} {l : filter α} (h : is_o f g l) :
tendsto (λ x, f x / (g x)) l (𝓝 0) :=
have eq₁ : is_o (λ x, f x / g x) (λ x, g x / g x) l,
by simpa only [div_eq_mul_inv] using h.mul_is_O (is_O_refl _ _),
have eq₂ : is_O (λ x, g x / g x) (λ x, (1 : 𝕜)) l,
from is_O_of_le _ (λ x, by by_cases h : ∥g x∥ = 0; simp [h, zero_le_one]),
(is_o_one_iff 𝕜).mp (eq₁.trans_is_O eq₂)
theorem is_o_iff_tendsto' {f g : α → 𝕜} {l : filter α}
(hgf : ∀ᶠ x in l, g x = 0 → f x = 0) :
is_o f g l ↔ tendsto (λ x, f x / (g x)) l (𝓝 0) :=
iff.intro is_o.tendsto_0 $ λ h,
(((is_o_one_iff _).mpr h).mul_is_O (is_O_refl g l)).congr'
(hgf.mono $ λ x, div_mul_cancel_of_imp) (eventually_of_forall $ λ x, one_mul _)
theorem is_o_iff_tendsto {f g : α → 𝕜} {l : filter α}
(hgf : ∀ x, g x = 0 → f x = 0) :
is_o f g l ↔ tendsto (λ x, f x / (g x)) l (𝓝 0) :=
⟨λ h, h.tendsto_0, (is_o_iff_tendsto' (eventually_of_forall hgf)).2⟩
alias is_o_iff_tendsto' ↔ _ asymptotics.is_o_of_tendsto'
alias is_o_iff_tendsto ↔ _ asymptotics.is_o_of_tendsto
/-!
### Eventually (u / v) * v = u
If `u` and `v` are linked by an `is_O_with` relation, then we
eventually have `(u / v) * v = u`, even if `v` vanishes.
-/
section eventually_mul_div_cancel
variables {u v : α → 𝕜}
lemma is_O_with.eventually_mul_div_cancel (h : is_O_with c u v l) :
(u / v) * v =ᶠ[l] u :=
eventually.mono h.bound (λ y hy, div_mul_cancel_of_imp $ λ hv, by simpa [hv] using hy)
/-- If `u = O(v)` along `l`, then `(u / v) * v = u` eventually at `l`. -/
lemma is_O.eventually_mul_div_cancel (h : is_O u v l) : (u / v) * v =ᶠ[l] u :=
let ⟨c, hc⟩ := h.is_O_with in hc.eventually_mul_div_cancel
/-- If `u = o(v)` along `l`, then `(u / v) * v = u` eventually at `l`. -/
lemma is_o.eventually_mul_div_cancel (h : is_o u v l) : (u / v) * v =ᶠ[l] u :=
(h.forall_is_O_with zero_lt_one).eventually_mul_div_cancel
end eventually_mul_div_cancel
/-! ### Equivalent definitions of the form `∃ φ, u =ᶠ[l] φ * v` in a `normed_field`. -/
section exists_mul_eq
variables {u v : α → 𝕜}
/-- If `∥φ∥` is eventually bounded by `c`, and `u =ᶠ[l] φ * v`, then we have `is_O_with c u v l`.
This does not require any assumptions on `c`, which is why we keep this version along with
`is_O_with_iff_exists_eq_mul`. -/
lemma is_O_with_of_eq_mul (φ : α → 𝕜) (hφ : ∀ᶠ x in l, ∥φ x∥ ≤ c) (h : u =ᶠ[l] φ * v) :
is_O_with c u v l :=
begin
unfold is_O_with,
refine h.symm.rw (λ x a, ∥a∥ ≤ c * ∥v x∥) (hφ.mono $ λ x hx, _),
simp only [normed_field.norm_mul, pi.mul_apply],
exact mul_le_mul_of_nonneg_right hx (norm_nonneg _)
end
lemma is_O_with_iff_exists_eq_mul (hc : 0 ≤ c) :
is_O_with c u v l ↔ ∃ (φ : α → 𝕜) (hφ : ∀ᶠ x in l, ∥φ x∥ ≤ c), u =ᶠ[l] φ * v :=
begin
split,
{ intro h,
use (λ x, u x / v x),
refine ⟨eventually.mono h.bound (λ y hy, _), h.eventually_mul_div_cancel.symm⟩,
simpa using div_le_of_nonneg_of_le_mul (norm_nonneg _) hc hy },
{ rintros ⟨φ, hφ, h⟩,
exact is_O_with_of_eq_mul φ hφ h }
end
lemma is_O_with.exists_eq_mul (h : is_O_with c u v l) (hc : 0 ≤ c) :
∃ (φ : α → 𝕜) (hφ : ∀ᶠ x in l, ∥φ x∥ ≤ c), u =ᶠ[l] φ * v :=
(is_O_with_iff_exists_eq_mul hc).mp h
lemma is_O_iff_exists_eq_mul :
is_O u v l ↔ ∃ (φ : α → 𝕜) (hφ : l.is_bounded_under (≤) (norm ∘ φ)), u =ᶠ[l] φ * v :=
begin
split,
{ rintros h,
rcases h.exists_nonneg with ⟨c, hnnc, hc⟩,
rcases hc.exists_eq_mul hnnc with ⟨φ, hφ, huvφ⟩,
exact ⟨φ, ⟨c, hφ⟩, huvφ⟩ },
{ rintros ⟨φ, ⟨c, hφ⟩, huvφ⟩,
exact is_O_iff_is_O_with.2 ⟨c, is_O_with_of_eq_mul φ hφ huvφ⟩ }
end
alias is_O_iff_exists_eq_mul ↔ asymptotics.is_O.exists_eq_mul _
lemma is_o_iff_exists_eq_mul :
is_o u v l ↔ ∃ (φ : α → 𝕜) (hφ : tendsto φ l (𝓝 0)), u =ᶠ[l] φ * v :=
begin
split,
{ exact λ h, ⟨λ x, u x / v x, h.tendsto_0, h.eventually_mul_div_cancel.symm⟩ },
{ unfold is_o, rintros ⟨φ, hφ, huvφ⟩ c hpos,
rw normed_group.tendsto_nhds_zero at hφ,
exact is_O_with_of_eq_mul _ ((hφ c hpos).mono $ λ x, le_of_lt) huvφ }
end
alias is_o_iff_exists_eq_mul ↔ asymptotics.is_o.exists_eq_mul _
end exists_mul_eq
/-! ### Miscellanous lemmas -/
theorem div_is_bounded_under_of_is_O {α : Type*} {l : filter α}
{f g : α → 𝕜} (h : is_O f g l) :
is_bounded_under (≤) l (λ x, ∥f x / g x∥) :=
begin
obtain ⟨c, hc⟩ := is_O_iff.mp h,
refine ⟨max c 0, eventually_map.2 (filter.mem_sets_of_superset hc (λ x hx, _))⟩,
simp only [mem_set_of_eq, normed_field.norm_div] at ⊢ hx,
by_cases hgx : g x = 0,
{ rw [hgx, norm_zero, div_zero, le_max_iff],
exact or.inr le_rfl },
{ exact le_max_iff.2 (or.inl ((div_le_iff (norm_pos_iff.2 hgx)).2 hx)) }
end
theorem is_O_iff_div_is_bounded_under {α : Type*} {l : filter α}
{f g : α → 𝕜} (hgf : ∀ᶠ x in l, g x = 0 → f x = 0) :
is_O f g l ↔ is_bounded_under (≤) l (λ x, ∥f x / g x∥) :=
begin
refine ⟨div_is_bounded_under_of_is_O, λ h, _⟩,
obtain ⟨c, hc⟩ := h,
rw filter.eventually_iff at hgf hc,
simp only [mem_set_of_eq, mem_map, normed_field.norm_div] at hc,
refine is_O_iff.2 ⟨c, filter.eventually_of_mem (inter_mem_sets hgf hc) (λ x hx, _)⟩,
by_cases hgx : g x = 0,
{ simp [hx.1 hgx, hgx] },
{ refine (div_le_iff (norm_pos_iff.2 hgx)).mp hx.2 },
end
theorem is_O_of_div_tendsto_nhds {α : Type*} {l : filter α}
{f g : α → 𝕜} (hgf : ∀ᶠ x in l, g x = 0 → f x = 0)
(c : 𝕜) (H : filter.tendsto (f / g) l (𝓝 c)) :
is_O f g l :=
(is_O_iff_div_is_bounded_under hgf).2 $ is_bounded_under_of_tendsto H
lemma is_o.tendsto_zero_of_tendsto {α E 𝕜 : Type*} [normed_group E] [normed_field 𝕜] {u : α → E}
{v : α → 𝕜} {l : filter α} {y : 𝕜} (huv : is_o u v l) (hv : tendsto v l (𝓝 y)) :
tendsto u l (𝓝 0) :=
begin
suffices h : is_o u (λ x, (1 : 𝕜)) l,
{ rwa is_o_one_iff at h },
exact huv.trans_is_O (is_O_one_of_tendsto 𝕜 hv),
end
theorem is_o_pow_pow {m n : ℕ} (h : m < n) :
is_o (λ(x : 𝕜), x^n) (λx, x^m) (𝓝 0) :=
begin
let p := n - m,
have nmp : n = m + p := (nat.add_sub_cancel' (le_of_lt h)).symm,
have : (λ(x : 𝕜), x^m) = (λx, x^m * 1), by simp only [mul_one],
simp only [this, pow_add, nmp],
refine is_O.mul_is_o (is_O_refl _ _) ((is_o_one_iff _).2 _),
convert (continuous_pow p).tendsto (0 : 𝕜),
exact (zero_pow (nat.sub_pos_of_lt h)).symm
end
theorem is_o_norm_pow_norm_pow {m n : ℕ} (h : m < n) :
is_o (λ(x : E'), ∥x∥^n) (λx, ∥x∥^m) (𝓝 (0 : E')) :=
(is_o_pow_pow h).comp_tendsto tendsto_norm_zero
theorem is_o_pow_id {n : ℕ} (h : 1 < n) :
is_o (λ(x : 𝕜), x^n) (λx, x) (𝓝 0) :=
by { convert is_o_pow_pow h, simp only [pow_one] }
theorem is_o_norm_pow_id {n : ℕ} (h : 1 < n) :
is_o (λ(x : E'), ∥x∥^n) (λx, x) (𝓝 0) :=
by simpa only [pow_one, is_o_norm_right] using @is_o_norm_pow_norm_pow E' _ _ _ h
theorem is_O_with.right_le_sub_of_lt_1 {f₁ f₂ : α → E'} (h : is_O_with c f₁ f₂ l) (hc : c < 1) :
is_O_with (1 / (1 - c)) f₂ (λx, f₂ x - f₁ x) l :=
is_O_with.of_bound $ mem_sets_of_superset h.bound $ λ x hx,
begin
simp only [mem_set_of_eq] at hx ⊢,
rw [mul_comm, one_div, ← div_eq_mul_inv, le_div_iff, mul_sub, mul_one, mul_comm],
{ exact le_trans (sub_le_sub_left hx _) (norm_sub_norm_le _ _) },
{ exact sub_pos.2 hc }
end
theorem is_O_with.right_le_add_of_lt_1 {f₁ f₂ : α → E'} (h : is_O_with c f₁ f₂ l) (hc : c < 1) :
is_O_with (1 / (1 - c)) f₂ (λx, f₁ x + f₂ x) l :=
(h.neg_right.right_le_sub_of_lt_1 hc).neg_right.of_neg_left.congr rfl (λ x, rfl)
(λ x, by rw [neg_sub, sub_neg_eq_add])
theorem is_o.right_is_O_sub {f₁ f₂ : α → E'} (h : is_o f₁ f₂ l) :
is_O f₂ (λx, f₂ x - f₁ x) l :=
((h.def' one_half_pos).right_le_sub_of_lt_1 one_half_lt_one).is_O
theorem is_o.right_is_O_add {f₁ f₂ : α → E'} (h : is_o f₁ f₂ l) :
is_O f₂ (λx, f₁ x + f₂ x) l :=
((h.def' one_half_pos).right_le_add_of_lt_1 one_half_lt_one).is_O
/-- If `f x = O(g x)` along `cofinite`, then there exists a positive constant `C` such that
`∥f x∥ ≤ C * ∥g x∥` whenever `g x ≠ 0`. -/
theorem bound_of_is_O_cofinite (h : is_O f g' cofinite) :
∃ C > 0, ∀ ⦃x⦄, g' x ≠ 0 → ∥f x∥ ≤ C * ∥g' x∥ :=
begin
rcases h.exists_pos with ⟨C, C₀, hC⟩,
rw [is_O_with, eventually_cofinite] at hC,
rcases (hC.to_finset.image (λ x, ∥f x∥ / ∥g' x∥)).exists_le with ⟨C', hC'⟩,
have : ∀ x, C * ∥g' x∥ < ∥f x∥ → ∥f x∥ / ∥g' x∥ ≤ C', by simpa using hC',
refine ⟨max C C', lt_max_iff.2 (or.inl C₀), λ x h₀, _⟩,
rw [max_mul_of_nonneg _ _ (norm_nonneg _), le_max_iff, or_iff_not_imp_left, not_le],
exact λ hx, (div_le_iff (norm_pos_iff.2 h₀)).1 (this _ hx)
end
theorem is_O_cofinite_iff (h : ∀ x, g' x = 0 → f' x = 0) :
is_O f' g' cofinite ↔ ∃ C, ∀ x, ∥f' x∥ ≤ C * ∥g' x∥ :=
⟨λ h', let ⟨C, C₀, hC⟩ := bound_of_is_O_cofinite h' in
⟨C, λ x, if hx : g' x = 0 then by simp [h _ hx, hx] else hC hx⟩,
λ h, (is_O_top.2 h).mono le_top⟩
theorem bound_of_is_O_nat_at_top {f : ℕ → E} {g' : ℕ → E'} (h : is_O f g' at_top) :
∃ C > 0, ∀ ⦃x⦄, g' x ≠ 0 → ∥f x∥ ≤ C * ∥g' x∥ :=
bound_of_is_O_cofinite $ by rwa nat.cofinite_eq_at_top
theorem is_O_nat_at_top_iff {f : ℕ → E'} {g : ℕ → F'} (h : ∀ x, g x = 0 → f x = 0) :
is_O f g at_top ↔ ∃ C, ∀ x, ∥f x∥ ≤ C * ∥g x∥ :=
by rw [← nat.cofinite_eq_at_top, is_O_cofinite_iff h]
theorem is_O_one_nat_at_top_iff {f : ℕ → E'} :
is_O f (λ n, 1 : ℕ → ℝ) at_top ↔ ∃ C, ∀ n, ∥f n∥ ≤ C :=
iff.trans (is_O_nat_at_top_iff (λ n h, (one_ne_zero h).elim)) $
by simp only [norm_one, mul_one]
theorem is_O_with_pi {ι : Type*} [fintype ι] {E' : ι → Type*} [Π i, normed_group (E' i)]
{f : α → Π i, E' i} {C : ℝ} (hC : 0 ≤ C) :
is_O_with C f g' l ↔ ∀ i, is_O_with C (λ x, f x i) g' l :=
have ∀ x, 0 ≤ C * ∥g' x∥, from λ x, mul_nonneg hC (norm_nonneg _),
by simp only [is_O_with_iff, pi_norm_le_iff (this _), eventually_all]
@[simp] theorem is_O_pi {ι : Type*} [fintype ι] {E' : ι → Type*} [Π i, normed_group (E' i)]
{f : α → Π i, E' i} :
is_O f g' l ↔ ∀ i, is_O (λ x, f x i) g' l :=
begin
simp only [is_O_iff_eventually_is_O_with, ← eventually_all],
exact eventually_congr (eventually_at_top.2 ⟨0, λ c, is_O_with_pi⟩)
end
@[simp] theorem is_o_pi {ι : Type*} [fintype ι] {E' : ι → Type*} [Π i, normed_group (E' i)]
{f : α → Π i, E' i} :
is_o f g' l ↔ ∀ i, is_o (λ x, f x i) g' l :=
begin
simp only [is_o, is_O_with_pi, le_of_lt] { contextual := tt },
exact ⟨λ h i c hc, h hc i, λ h c hc i, h i hc⟩
end
end asymptotics
open asymptotics
lemma summable_of_is_O {ι E} [normed_group E] [complete_space E] {f : ι → E} (g : ι → ℝ)
(hg : summable g) (h : is_O f g cofinite) : summable f :=
let ⟨C, hC⟩ := h.is_O_with in
summable_of_norm_bounded_eventually (λ x, C * ∥g x∥) (hg.abs.mul_left _) hC.bound
lemma summable_of_is_O_nat {E} [normed_group E] [complete_space E] {f : ℕ → E} (g : ℕ → ℝ)
(hg : summable g) (h : is_O f g at_top) : summable f :=
summable_of_is_O g hg $ nat.cofinite_eq_at_top.symm ▸ h
namespace local_homeomorph
variables {α : Type*} {β : Type*} [topological_space α] [topological_space β]
variables {E : Type*} [has_norm E] {F : Type*} [has_norm F]
/-- Transfer `is_O_with` over a `local_homeomorph`. -/
lemma is_O_with_congr (e : local_homeomorph α β) {b : β} (hb : b ∈ e.target)
{f : β → E} {g : β → F} {C : ℝ} :
is_O_with C f g (𝓝 b) ↔ is_O_with C (f ∘ e) (g ∘ e) (𝓝 (e.symm b)) :=
⟨λ h, h.comp_tendsto $
by { convert e.continuous_at (e.map_target hb), exact (e.right_inv hb).symm },
λ h, (h.comp_tendsto (e.continuous_at_symm hb)).congr' rfl
((e.eventually_right_inverse hb).mono $ λ x hx, congr_arg f hx)
((e.eventually_right_inverse hb).mono $ λ x hx, congr_arg g hx)⟩
/-- Transfer `is_O` over a `local_homeomorph`. -/
lemma is_O_congr (e : local_homeomorph α β) {b : β} (hb : b ∈ e.target) {f : β → E} {g : β → F} :
is_O f g (𝓝 b) ↔ is_O (f ∘ e) (g ∘ e) (𝓝 (e.symm b)) :=
by { unfold is_O, exact exists_congr (λ C, e.is_O_with_congr hb) }
/-- Transfer `is_o` over a `local_homeomorph`. -/
lemma is_o_congr (e : local_homeomorph α β) {b : β} (hb : b ∈ e.target) {f : β → E} {g : β → F} :
is_o f g (𝓝 b) ↔ is_o (f ∘ e) (g ∘ e) (𝓝 (e.symm b)) :=
by { unfold is_o, exact (forall_congr $ λ c, forall_congr $ λ hc, e.is_O_with_congr hb) }
end local_homeomorph
namespace homeomorph
variables {α : Type*} {β : Type*} [topological_space α] [topological_space β]
variables {E : Type*} [has_norm E] {F : Type*} [has_norm F]
open asymptotics
/-- Transfer `is_O_with` over a `homeomorph`. -/
lemma is_O_with_congr (e : α ≃ₜ β) {b : β} {f : β → E} {g : β → F} {C : ℝ} :
is_O_with C f g (𝓝 b) ↔ is_O_with C (f ∘ e) (g ∘ e) (𝓝 (e.symm b)) :=
e.to_local_homeomorph.is_O_with_congr trivial
/-- Transfer `is_O` over a `homeomorph`. -/
lemma is_O_congr (e : α ≃ₜ β) {b : β} {f : β → E} {g : β → F} :
is_O f g (𝓝 b) ↔ is_O (f ∘ e) (g ∘ e) (𝓝 (e.symm b)) :=
by { unfold is_O, exact exists_congr (λ C, e.is_O_with_congr) }
/-- Transfer `is_o` over a `homeomorph`. -/
lemma is_o_congr (e : α ≃ₜ β) {b : β} {f : β → E} {g : β → F} :
is_o f g (𝓝 b) ↔ is_o (f ∘ e) (g ∘ e) (𝓝 (e.symm b)) :=
by { unfold is_o, exact forall_congr (λ c, forall_congr (λ hc, e.is_O_with_congr)) }
end homeomorph
|
ed893f5ad396c37933441e1e0ab2244134f1738b | e514e8b939af519a1d5e9b30a850769d058df4e9 | /src/tactic/rewrite_search/core/explain.lean | fd3890d96daee3226e1f49a04a1de2e240fb3d0e | [] | no_license | semorrison/lean-rewrite-search | dca317c5a52e170fb6ffc87c5ab767afb5e3e51a | e804b8f2753366b8957be839908230ee73f9e89f | refs/heads/master | 1,624,051,754,485 | 1,614,160,817,000 | 1,614,160,817,000 | 162,660,605 | 0 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 9,395 | lean | import .types
-- Required for us to emit more compact `conv` invocations
import tactic.converter.interactive
open interactive interactive.types expr tactic
variables {α β γ δ : Type}
namespace tactic.rewrite_search
private meta def hand : sided_pair string := ⟨"lhs", "rhs"⟩
meta def nth_rule (rs : list (expr × bool)) (i : ℕ) : expr × bool := (rs.nth i).iget
meta def pp_rule (r : expr × bool) : tactic string :=
do pp ← pp r.1, return $ (if r.2 then "←" else "") ++ (to_string pp)
meta def how.to_rewrite (rs : list (expr × bool)) : how → option (expr × bool)
| (how.rewrite index _ _) := nth_rule rs index
| _ := none
meta def explain_using_location (rs : list (expr × bool)) (s : side) : how → tactic (option string)
| (how.rewrite index location _) := do
rule ← pp_rule $ nth_rule rs index,
return $ some ("nth_rewrite_" ++ hand.get s ++ " " ++ to_string location ++ " " ++ rule)
| _ := return none
meta def using_location.explain_rewrites (rs : list (expr × bool)) (s : side) (steps : list how) : tactic string := do
rules ← steps.mmap $ λ h : how, option.to_list <$> explain_using_location rs s h,
return $ string.intercalate ",\n" rules.join
namespace using_conv
inductive app_addr
| node (children : sided_pair (option app_addr)) : app_addr
| rw : list ℕ → app_addr
open app_addr
meta def app_addr.to_string : app_addr → string
| (node c) := "(node " ++ ((c.to_list.filter_map id).map app_addr.to_string).to_string ++ ")"
| (rw rws) := "(rw " ++ rws.to_string ++ ")"
inductive splice_result
-- There was more of the addr to be added left, but we hit a rw
| obstructed
-- The added addr was already fully contained, and did not terminate at an existing rw
| contained
-- The added addr terminated at an existing rw or we could create a new one for it
| new (addr : app_addr)
open splice_result
def splice_result.pack (s : side) : splice_result → sided_pair (option app_addr) → splice_result
| (new addr) c := new $ app_addr.node $ c.set s (some addr)
| sr _ := sr
-- TODO? prove well founded
private meta def splice_in_aux (new_rws : list ℕ) : option app_addr → list side → splice_result
| (some $ node _) [] := contained
| (some $ node c) (s :: rest) := (splice_in_aux (c.get s) rest).pack s c
| (some $ rw _) (_ :: _) := obstructed
| (some $ rw rws) [] := new $ rw (rws ++ new_rws)
| none [] := new $ rw new_rws
| none l := splice_in_aux (some $ node ⟨none, none⟩) l
private meta def to_congr_form : list side → tactic (list side)
| [] := return []
| (side.L :: (side.R :: rest)) := do
r ← to_congr_form rest,
return (side.L :: r)
| (side.R :: rest) := do
r ← to_congr_form rest,
return (side.R :: r)
| [side.L] := fail "app list ends in side.L!"
| (side.L :: (side.L :: _)) := fail "app list has repeated side.L!"
meta def splice_in (a : option app_addr) (rws : list ℕ) (s : list side) : tactic splice_result :=
splice_in_aux rws a <$> to_congr_form s
meta def build_rw_tactic (rs : list (expr × bool)) (hs : list ℕ) : tactic string := do
rws ← (hs.map $ nth_rule rs).mmap pp_rule,
return $ "erw [" ++ (string.intercalate ", " rws) ++ "]"
meta def explain_tree_aux (rs : list (expr × bool)) : app_addr → tactic (option (list string))
| (app_addr.rw rws) := (λ a, some [a]) <$> build_rw_tactic rs rws
| (app_addr.node ⟨func, arg⟩) := do
sf ← match func with | none := pure none | some func := explain_tree_aux func end,
sa ← match arg with | none := pure none | some arg := explain_tree_aux arg end,
return $ match (sf, sa) with
| (none, none) := none
| (some sf, none) := ["congr"].append sf
| (none, some sa) := ["congr", "skip"].append sa
| (some sf, some sa) := (["congr"].append sf).append (["skip"].append sf)
end
-- TODO break the tree into pieces when the gaps are too big
meta def explain_tree (rs : list (expr × bool)) (tree : app_addr) : tactic (list string) :=
list.join <$> option.to_list <$> explain_tree_aux rs tree
meta def compile_rewrites_aux (rs : list (expr × bool)) (s : side) : option app_addr → list how → tactic (list string)
| none [] := return []
| (some tree) [] := do
tacs ← explain_tree rs tree,
return $ if tacs.length = 0 then []
else ["conv_" ++ hand.get s ++ " { " ++ string.intercalate ", " tacs ++ " }"]
| tree (h :: rest) := do
-- TODO handle other how.* values here, e.g. how.simp
-- At the moment we just silently drop these.
(new_tree, rest_if_fail) ← match h with
| how.rewrite index loc (some addr) := do
new_tree ← splice_in tree [index] addr,
return (some new_tree, list.cons h rest)
| _ := do
return (none, rest)
end,
match new_tree with
| some (new new_tree) := compile_rewrites_aux new_tree rest
| _ := do
line ← compile_rewrites_aux tree [],
lines ← compile_rewrites_aux none rest_if_fail,
return $ line ++ lines
end
meta def compile_rewrites (rs : list (expr × bool)) (s : side) : list how → tactic (list string) :=
compile_rewrites_aux rs s none
meta def explain_rewrites (rs : list (expr × bool)) (s : side) (hows : list how) : tactic string :=
string.intercalate ",\n" <$> compile_rewrites rs s hows
end using_conv
meta def explain_rewrites_concisely (steps : list (expr × bool)) (needs_refl : bool) : tactic string := do
rules ← string.intercalate ", " <$> steps.mmap pp_rule,
return $ "erw [" ++ rules ++ "]" ++ (if needs_refl then ", refl" else "")
-- fails if we can't just use rewrite
-- otherwise, returns 'tt' if we need a `refl` at the end
meta def check_if_simple_rewrite_succeeds (rewrites : list (expr × bool)) (goal : expr) : tactic bool :=
lock_tactic_state $ do
m ← mk_meta_var goal,
set_goals [m],
rewrites.mmap' $ λ q, rewrite_target q.1 {symm := q.2, md := semireducible},
(reflexivity reducible >> return ff) <|> (reflexivity >> return tt)
meta def proof_unit.rewrites (u : proof_unit) (rs : list (expr × bool)) : list (expr × bool) :=
u.steps.filter_map $ how.to_rewrite rs
-- TODO rewrite this to use conv!
meta def proof_unit.explain (u : proof_unit) (rs : list (expr × bool)) (explain_using_conv : bool) : tactic string := do
-- TODO We could try to merge adjacent proof units or something more complicated.
-- FIXME using explain_rewrites_concisely:
-- Currently we only try to explain away the whole proof, falling back on
-- failure. Moreover, "single proof unit" is unfortunately broken, because
-- `erw` inspects the goal when it performs its actions. As an example of a
-- failing case, observe (or check) that given an axiom `foo` saying [1] = [2]`
-- then `check_if_simple_rewrite_succeeds` will approve using `erw [foo]` to
-- discharge the goal `[[1], [1]] = [[1], [2]]`, even though once part of the
-- explaination of a bigger proof with multiple units `erw` will turn
-- `[[1], [1]]` into `[[2], [2]]`, not what we want.
-- One possible solution is to prepend `transitivity xxx` in front of such
-- left-proof_units (currently we only do this for right-proof_units), but
-- this seems to tend to be more clumsy that a one-line `congr` which would
-- normally replace it.
-- This is a bit of a shame, though, since it works quite well in many siutations.
-- Perhaps we should run though given this optimisation, try to see if the
-- resulting whole proof works, emit if it succeeds and if it fails go-again
-- without the optimisations? This actually wouldn't be too hard to implement.
-- (do
-- goal ← infer_type u.proof,
-- let rewrites := u.rewrites cfg,
-- needs_refl ← check_if_simple_rewrite_succeeds rewrites goal,
-- explain_rewrites_concisely rewrites needs_refl
-- ) <|>
if explain_using_conv then
using_conv.explain_rewrites rs u.side u.steps
else
using_location.explain_rewrites rs u.side u.steps
meta def explain_proof_full (rs : list (expr × bool)) (explain_using_conv : bool) : list proof_unit → tactic string
| [] := return ""
| (u :: rest) := do
-- This is an optimisation: don't use transitivity for the last unit, since
-- it neccesarily must be redundant.
head ← if rest.length = 0 ∨ u.side = side.L then pure [] else (do
n ← infer_type u.proof >>= rw_equation.rhs >>= pp,
pure $ ["transitivity " ++ to_string n]
),
unit_expl ← u.explain rs explain_using_conv,
rest_expl ← explain_proof_full rest,
let expls := (head ++ [unit_expl, rest_expl]).filter $ λ t, ¬(t.length = 0),
return $ string.intercalate ",\n" expls
meta def explain_proof_concisely (rs : list (expr × bool)) (proof : expr) (l : list proof_unit) : tactic string := do
let rws : list (expr × bool) := list.join $ l.map (λ u, do
(r, s) ← u.rewrites rs,
return (r, if u.side = side.L then s else ¬s)
),
goal ← infer_type proof,
needs_refl ← check_if_simple_rewrite_succeeds rws goal,
explain_rewrites_concisely rws needs_refl
meta def explain_search_result (cfg : config) (rs : list (expr × bool)) (proof : expr) (units : list proof_unit) : tactic string := do
if cfg.trace then do
pp ← pp proof,
trace format!"rewrite_search found proof:\n{pp}"
else skip,
explanation ← explain_proof_concisely rs proof units <|> explain_proof_full rs cfg.explain_using_conv units,
if cfg.explain then trace $ "/- `rewrite_search` says -/\n" ++ explanation
else skip,
return explanation
end tactic.rewrite_search
|
4677987040d701ce43c787ae5acd61fe1425a550 | 36938939954e91f23dec66a02728db08a7acfcf9 | /lean/deps/typed_smt2/src/galois/smt2/misc.lean | cc5512bc8b0dcefadc7f6d9b17e68073ed5dde3e | [
"Apache-2.0"
] | permissive | pnwamk/reopt-vcg | f8b56dd0279392a5e1c6aee721be8138e6b558d3 | c9f9f185fbefc25c36c4b506bbc85fd1a03c3b6d | refs/heads/master | 1,631,145,017,772 | 1,593,549,019,000 | 1,593,549,143,000 | 254,191,418 | 0 | 0 | null | 1,586,377,077,000 | 1,586,377,077,000 | null | UTF-8 | Lean | false | false | 1,110 | lean | import .basic
namespace smt2
------------------------------------------------------------------------
-- kind
/- An parameter for polymorphic declarations. -/
inductive kind
| nat : kind
| sort : kind
namespace kind
instance : decidable_eq kind := by tactic.mk_dec_eq_instance
/- Map SMTLIB kinds to their Lean interpretation -/
def interp : kind → Type 1
| kind.nat := ulift ℕ
| kind.sort := Type
end kind
------------------------------------------------------------------------
-- literal
/--
A symbol representing a Boolean name or its negation.
Used in check-sat-with
-/
inductive literal
-- Assertion named predicate is true
| is_true : symbol → literal
-- Assertion named predicate is false.
| is_false : symbol → literal
------------------------------------------------------------------------
-- string_literal
/-- Return true if each character is legal in a string lit. -/
def is_string_lit_char (c:char)
:= c.is_ascii7_printable
∨ c ∈ ['\t', '\n', char.of_nat 13]
def is_string_lit (b:char_buffer) : Prop :=
∀(i:fin b.size), is_string_lit_char (b.read i)
end smt2
|
7ceb75d9fddace457b6217bfcb9c51e8e728a33f | 9dc8cecdf3c4634764a18254e94d43da07142918 | /test/monotonicity.lean | d2bb7cd32119913285056bcb2eae8f5272160b44 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 8,953 | lean | /-
Copyright (c) 2019 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import tactic.monotonicity
import tactic.norm_num
import algebra.order.ring
import measure_theory.measure.lebesgue
import measure_theory.function.locally_integrable
import data.list.defs
open list tactic tactic.interactive set
example
(h : 3 + 6 ≤ 4 + 5)
: 1 + 3 + 2 + 6 ≤ 4 + 2 + 1 + 5 :=
begin
ac_mono,
end
example
(h : 3 ≤ (4 : ℤ))
(h' : 5 ≤ (6 : ℤ))
: (1 + 3 + 2) - 6 ≤ (4 + 2 + 1 : ℤ) - 5 :=
begin
ac_mono,
mono,
end
example
(h : 3 ≤ (4 : ℤ))
(h' : 5 ≤ (6 : ℤ))
: (1 + 3 + 2) - 6 ≤ (4 + 2 + 1 : ℤ) - 5 :=
begin
transitivity (1 + 3 + 2 - 5 : ℤ),
{ ac_mono },
{ ac_mono },
end
example (x y z k : ℕ)
(h : 3 ≤ (4 : ℕ))
(h' : z ≤ y)
: (k + 3 + x) - y ≤ (k + 4 + x) - z :=
begin
mono, norm_num
end
example (x y z k : ℤ)
(h : 3 ≤ (4 : ℤ))
(h' : z ≤ y)
: (k + 3 + x) - y ≤ (k + 4 + x) - z :=
begin
mono, norm_num
end
example (x y z a b : ℕ)
(h : a ≤ (b : ℕ))
(h' : z ≤ y)
: (1 + a + x) - y ≤ (1 + b + x) - z :=
begin
transitivity (1 + a + x - z),
{ mono, },
{ mono, mono, mono },
end
example (x y z a b : ℤ)
(h : a ≤ (b : ℤ))
(h' : z ≤ y)
: (1 + a + x) - y ≤ (1 + b + x) - z :=
begin
transitivity (1 + a + x - z),
{ mono, },
{ mono, mono, mono },
end
example (x y z : ℤ)
(h' : z ≤ y)
: (1 + 3 + x) - y ≤ (1 + 4 + x) - z :=
begin
transitivity (1 + 3 + x - z),
{ mono },
{ mono, mono, norm_num },
end
example (x y z : ℤ)
(h : 3 ≤ (4 : ℤ))
(h' : z ≤ y)
: (1 + 3 + x) - y ≤ (1 + 4 + x) - z :=
begin
ac_mono, mono*
end
@[simp]
def list.le' {α : Type*} [has_le α] : list α → list α → Prop
| (x::xs) (y::ys) := x ≤ y ∧ list.le' xs ys
| [] [] := true
| _ _ := false
@[simp]
instance list_has_le {α : Type*} [has_le α] : has_le (list α) :=
⟨ list.le' ⟩
lemma list.le_refl {α : Type*} [preorder α] {xs : list α}
: xs ≤ xs :=
begin
induction xs with x xs,
{ trivial },
{ simp [has_le.le,list.le],
split, exact le_rfl, apply xs_ih }
end
-- @[trans]
lemma list.le_trans {α : Type*} [preorder α]
{xs zs : list α} (ys : list α)
(h : xs ≤ ys)
(h' : ys ≤ zs)
: xs ≤ zs :=
begin
revert ys zs,
induction xs with x xs
; intros ys zs h h'
; cases ys with y ys
; cases zs with z zs
; try { cases h ; cases h' ; done },
{ apply list.le_refl },
{ simp [has_le.le,list.le],
split,
apply le_trans h.left h'.left,
apply xs_ih _ h.right h'.right, }
end
@[mono]
lemma list_le_mono_left {α : Type*} [preorder α] {xs ys zs : list α}
(h : xs ≤ ys)
: xs ++ zs ≤ ys ++ zs :=
begin
revert ys,
induction xs with x xs ; intros ys h,
{ cases ys, apply list.le_refl, cases h },
{ cases ys with y ys, cases h, simp [has_le.le,list.le] at *,
revert h, apply and.imp_right,
apply xs_ih }
end
@[mono]
lemma list_le_mono_right {α : Type*} [preorder α] {xs ys zs : list α}
(h : xs ≤ ys)
: zs ++ xs ≤ zs ++ ys :=
begin
revert ys zs,
induction xs with x xs ; intros ys zs h,
{ cases ys, { simp, apply list.le_refl }, cases h },
{ cases ys with y ys, cases h, simp [has_le.le,list.le] at *,
suffices : list.le' ((zs ++ [x]) ++ xs) ((zs ++ [y]) ++ ys),
{ refine cast _ this, simp, },
apply list.le_trans (zs ++ [y] ++ xs),
{ apply list_le_mono_left,
induction zs with z zs,
{ simp [has_le.le,list.le], apply h.left },
{ simp [has_le.le,list.le], split, exact le_rfl,
apply zs_ih, } },
{ apply xs_ih h.right, } }
end
lemma bar_bar'
(h : [] ++ [3] ++ [2] ≤ [1] ++ [5] ++ [4])
: [] ++ [3] ++ [2] ++ [2] ≤ [1] ++ [5] ++ ([4] ++ [2]) :=
begin
ac_mono,
end
lemma bar_bar''
(h : [3] ++ [2] ++ [2] ≤ [5] ++ [4] ++ [])
: [1] ++ ([3] ++ [2]) ++ [2] ≤ [1] ++ [5] ++ ([4] ++ []) :=
begin
ac_mono,
end
lemma bar_bar
(h : [3] ++ [2] ≤ [5] ++ [4])
: [1] ++ [3] ++ [2] ++ [2] ≤ [1] ++ [5] ++ ([4] ++ [2]) :=
begin
ac_mono,
end
def P (x : ℕ) := 7 ≤ x
def Q (x : ℕ) := x ≤ 7
@[mono]
lemma P_mono {x y : ℕ}
(h : x ≤ y)
: P x → P y :=
by { intro h', apply le_trans h' h }
@[mono]
lemma Q_mono {x y : ℕ}
(h : y ≤ x)
: Q x → Q y :=
by apply le_trans h
example (x y z : ℕ)
(h : x ≤ y)
: P (x + z) → P (z + y) :=
begin
ac_mono,
ac_mono,
end
example (x y z : ℕ)
(h : y ≤ x)
: Q (x + z) → Q (z + y) :=
begin
ac_mono,
ac_mono,
end
example (x y z k m n : ℤ)
(h₀ : z ≤ 0)
(h₁ : y ≤ x)
: (m + x + n) * z + k ≤ z * (y + n + m) + k :=
begin
ac_mono,
ac_mono,
ac_mono,
end
example (x y z k m n : ℕ)
(h₀ : z ≥ 0)
(h₁ : x ≤ y)
: (m + x + n) * z + k ≤ z * (y + n + m) + k :=
begin
ac_mono,
ac_mono,
ac_mono,
end
example (x y z k m n : ℕ)
(h₀ : z ≥ 0)
(h₁ : x ≤ y)
: (m + x + n) * z + k ≤ z * (y + n + m) + k :=
begin
ac_mono,
-- ⊢ (m + x + n) * z ≤ z * (y + n + m)
ac_mono,
-- ⊢ m + x + n ≤ y + n + m
ac_mono,
end
example (x y z k m n : ℕ)
(h₀ : z ≥ 0)
(h₁ : x ≤ y)
: (m + x + n) * z + k ≤ z * (y + n + m) + k :=
by { ac_mono* := h₁ }
example (x y z k m n : ℕ)
(h₀ : z ≥ 0)
(h₁ : m + x + n ≤ y + n + m)
: (m + x + n) * z + k ≤ z * (y + n + m) + k :=
by { ac_mono* := h₁ }
example (x y z k m n : ℕ)
(h₀ : z ≥ 0)
(h₁ : n + x + m ≤ y + n + m)
: (m + x + n) * z + k ≤ z * (y + n + m) + k :=
begin
ac_mono* : m + x + n ≤ y + n + m,
transitivity ; [ skip , apply h₁ ],
apply le_of_eq,
ac_refl,
end
example (x y z k m n : ℤ)
(h₁ : x ≤ y)
: true :=
begin
have : (m + x + n) * z + k ≤ z * (y + n + m) + k,
{ ac_mono,
success_if_fail { ac_mono },
admit },
trivial
end
example (x y z k m n : ℕ)
(h₁ : x ≤ y)
: true :=
begin
have : (m + x + n) * z + k ≤ z * (y + n + m) + k,
{ ac_mono*,
change 0 ≤ z, apply nat.zero_le, },
trivial
end
example (x y z k m n : ℕ)
(h₁ : x ≤ y)
: true :=
begin
have : (m + x + n) * z + k ≤ z * (y + n + m) + k,
{ ac_mono,
change (m + x + n) * z ≤ z * (y + n + m),
admit },
trivial,
end
example (x y z k m n i j : ℕ)
(h₁ : x + i = y + j)
: (m + x + n + i) * z + k = z * (j + n + m + y) + k :=
begin
ac_mono^3,
cc
end
example (x y z k m n i j : ℕ)
(h₁ : x + i = y + j)
: z * (x + i + n + m) + k = z * (y + j + n + m) + k :=
begin
congr,
simp [h₁],
end
example (x y z k m n i j : ℕ)
(h₁ : x + i = y + j)
: (m + x + n + i) * z + k = z * (j + n + m + y) + k :=
begin
ac_mono*,
cc,
end
example (x y : ℕ)
(h : x ≤ y)
: true :=
begin
(do v ← mk_mvar,
p ← to_expr ```(%%v + x ≤ y + %%v),
assert `h' p),
ac_mono := h,
trivial,
exact 1,
end
example {x y z : ℕ} : true :=
begin
have : y + x ≤ y + z,
{ mono,
guard_target' x ≤ z,
admit },
trivial
end
example {x y z : ℕ} : true :=
begin
suffices : x + y ≤ z + y, trivial,
mono,
guard_target' x ≤ z,
admit,
end
example {x y z w : ℕ} : true :=
begin
have : x + y ≤ z + w,
{ mono,
guard_target' x ≤ z, admit,
guard_target' y ≤ w, admit },
trivial
end
example {x y z w : ℕ} : true :=
begin
have : x * y ≤ z * w,
{ mono with [0 ≤ z,0 ≤ y],
{ guard_target 0 ≤ z, admit },
{ guard_target 0 ≤ y, admit },
guard_target' x ≤ z, admit,
guard_target' y ≤ w, admit },
trivial
end
example {x y z w : Prop} : true :=
begin
have : x ∧ y → z ∧ w,
{ mono,
guard_target' x → z, admit,
guard_target' y → w, admit },
trivial
end
example {x y z w : Prop} : true :=
begin
have : x ∨ y → z ∨ w,
{ mono,
guard_target' x → z, admit,
guard_target' y → w, admit },
trivial
end
example {x y z w : ℤ} : true :=
begin
suffices : x + y < w + z, trivial,
have : x < w, admit,
have : y ≤ z, admit,
mono right,
end
example {x y z w : ℤ} : true :=
begin
suffices : x * y < w * z, trivial,
have : x < w, admit,
have : y ≤ z, admit,
mono right,
{ guard_target' 0 < y, admit },
{ guard_target' 0 ≤ w, admit },
end
open tactic
example (x y : ℕ)
(h : x ≤ y)
: true :=
begin
(do v ← mk_mvar,
p ← to_expr ```(%%v + x ≤ y + %%v),
assert `h' p),
ac_mono := h,
trivial,
exact 3
end
example {α} [linear_order α]
(a b c d e : α) :
max a b ≤ e → b ≤ e :=
by { mono, apply le_max_right }
example (a b c d e : Prop)
(h : d → a) (h' : c → e) :
(a ∧ b → c) ∨ d → (d ∧ b → e) ∨ a :=
begin
mono,
mono,
mono,
end
example : ∫ x in Icc 0 1, real.exp x ≤ ∫ x in Icc 0 1, real.exp (x+1) :=
begin
mono,
{ exact real.continuous_exp.locally_integrable is_compact_Icc },
{ exact (real.continuous_exp.comp $ continuous_add_right 1).locally_integrable
is_compact_Icc },
intro x,
dsimp only,
mono,
linarith
end
|
fb5b24943d3fb88a0b20e1b2bfd2f2b0bbe26782 | 367134ba5a65885e863bdc4507601606690974c1 | /src/algebra/free_algebra.lean | 1ec38caf41710d9d8d9c633e74021956b401b3b4 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 16,020 | lean | /-
Copyright (c) 2020 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Scott Morrison, Adam Topaz.
-/
import algebra.algebra.subalgebra
import algebra.monoid_algebra
import linear_algebra
import data.equiv.transfer_instance
/-!
# Free Algebras
Given a commutative semiring `R`, and a type `X`, we construct the free `R`-algebra on `X`.
## Notation
1. `free_algebra R X` is the free algebra itself. It is endowed with an `R`-algebra structure.
2. `free_algebra.ι R` is the function `X → free_algebra R X`.
3. Given a function `f : X → A` to an R-algebra `A`, `lift R f` is the lift of `f` to an
`R`-algebra morphism `free_algebra R X → A`.
## Theorems
1. `ι_comp_lift` states that the composition `(lift R f) ∘ (ι R)` is identical to `f`.
2. `lift_unique` states that whenever an R-algebra morphism `g : free_algebra R X → A` is
given whose composition with `ι R` is `f`, then one has `g = lift R f`.
3. `hom_ext` is a variant of `lift_unique` in the form of an extensionality theorem.
4. `lift_comp_ι` is a combination of `ι_comp_lift` and `lift_unique`. It states that the lift
of the composition of an algebra morphism with `ι` is the algebra morphism itself.
5. `equiv_monoid_algebra_free_monoid : free_algebra R X ≃ₐ[R] monoid_algebra R (free_monoid X)`
6. An inductive principle `induction`.
## Implementation details
We construct the free algebra on `X` as a quotient of an inductive type `free_algebra.pre` by an
inductively defined relation `free_algebra.rel`. Explicitly, the construction involves three steps:
1. We construct an inductive type `free_algebra.pre R X`, the terms of which should be thought
of as representatives for the elements of `free_algebra R X`.
It is the free type with maps from `R` and `X`, and with two binary operations `add` and `mul`.
2. We construct an inductive relation `free_algebra.rel R X` on `free_algebra.pre R X`.
This is the smallest relation for which the quotient is an `R`-algebra where addition resp.
multiplication are induced by `add` resp. `mul` from 1., and for which the map from `R` is the
structure map for the algebra.
3. The free algebra `free_algebra R X` is the quotient of `free_algebra.pre R X` by
the relation `free_algebra.rel R X`.
-/
variables (R : Type*) [comm_semiring R]
variables (X : Type*)
namespace free_algebra
/--
This inductive type is used to express representatives of the free algebra.
-/
inductive pre
| of : X → pre
| of_scalar : R → pre
| add : pre → pre → pre
| mul : pre → pre → pre
namespace pre
instance : inhabited (pre R X) := ⟨of_scalar 0⟩
-- Note: These instances are only used to simplify the notation.
/-- Coercion from `X` to `pre R X`. Note: Used for notation only. -/
def has_coe_generator : has_coe X (pre R X) := ⟨of⟩
/-- Coercion from `R` to `pre R X`. Note: Used for notation only. -/
def has_coe_semiring : has_coe R (pre R X) := ⟨of_scalar⟩
/-- Multiplication in `pre R X` defined as `pre.mul`. Note: Used for notation only. -/
def has_mul : has_mul (pre R X) := ⟨mul⟩
/-- Addition in `pre R X` defined as `pre.add`. Note: Used for notation only. -/
def has_add : has_add (pre R X) := ⟨add⟩
/-- Zero in `pre R X` defined as the image of `0` from `R`. Note: Used for notation only. -/
def has_zero : has_zero (pre R X) := ⟨of_scalar 0⟩
/-- One in `pre R X` defined as the image of `1` from `R`. Note: Used for notation only. -/
def has_one : has_one (pre R X) := ⟨of_scalar 1⟩
/--
Scalar multiplication defined as multiplication by the image of elements from `R`.
Note: Used for notation only.
-/
def has_scalar : has_scalar R (pre R X) := ⟨λ r m, mul (of_scalar r) m⟩
end pre
local attribute [instance]
pre.has_coe_generator pre.has_coe_semiring pre.has_mul pre.has_add pre.has_zero
pre.has_one pre.has_scalar
/--
Given a function from `X` to an `R`-algebra `A`, `lift_fun` provides a lift of `f` to a function
from `pre R X` to `A`. This is mainly used in the construction of `free_algebra.lift`.
-/
def lift_fun {A : Type*} [semiring A] [algebra R A] (f : X → A) : pre R X → A :=
λ t, pre.rec_on t f (algebra_map _ _) (λ _ _, (+)) (λ _ _, (*))
/--
An inductively defined relation on `pre R X` used to force the initial algebra structure on
the associated quotient.
-/
inductive rel : (pre R X) → (pre R X) → Prop
-- force `of_scalar` to be a central semiring morphism
| add_scalar {r s : R} : rel ↑(r + s) (↑r + ↑s)
| mul_scalar {r s : R} : rel ↑(r * s) (↑r * ↑s)
| central_scalar {r : R} {a : pre R X} : rel (r * a) (a * r)
-- commutative additive semigroup
| add_assoc {a b c : pre R X} : rel (a + b + c) (a + (b + c))
| add_comm {a b : pre R X} : rel (a + b) (b + a)
| zero_add {a : pre R X} : rel (0 + a) a
-- multiplicative monoid
| mul_assoc {a b c : pre R X} : rel (a * b * c) (a * (b * c))
| one_mul {a : pre R X} : rel (1 * a) a
| mul_one {a : pre R X} : rel (a * 1) a
-- distributivity
| left_distrib {a b c : pre R X} : rel (a * (b + c)) (a * b + a * c)
| right_distrib {a b c : pre R X} : rel ((a + b) * c) (a * c + b * c)
-- other relations needed for semiring
| zero_mul {a : pre R X} : rel (0 * a) 0
| mul_zero {a : pre R X} : rel (a * 0) 0
-- compatibility
| add_compat_left {a b c : pre R X} : rel a b → rel (a + c) (b + c)
| add_compat_right {a b c : pre R X} : rel a b → rel (c + a) (c + b)
| mul_compat_left {a b c : pre R X} : rel a b → rel (a * c) (b * c)
| mul_compat_right {a b c : pre R X} : rel a b → rel (c * a) (c * b)
end free_algebra
/--
The free algebra for the type `X` over the commutative semiring `R`.
-/
def free_algebra := quot (free_algebra.rel R X)
namespace free_algebra
local attribute [instance]
pre.has_coe_generator pre.has_coe_semiring pre.has_mul pre.has_add pre.has_zero
pre.has_one pre.has_scalar
instance : semiring (free_algebra R X) :=
{ add := quot.map₂ (+) (λ _ _ _, rel.add_compat_right) (λ _ _ _, rel.add_compat_left),
add_assoc := by { rintros ⟨⟩ ⟨⟩ ⟨⟩, exact quot.sound rel.add_assoc },
zero := quot.mk _ 0,
zero_add := by { rintro ⟨⟩, exact quot.sound rel.zero_add },
add_zero := begin
rintros ⟨⟩,
change quot.mk _ _ = _,
rw [quot.sound rel.add_comm, quot.sound rel.zero_add],
end,
add_comm := by { rintros ⟨⟩ ⟨⟩, exact quot.sound rel.add_comm },
mul := quot.map₂ (*) (λ _ _ _, rel.mul_compat_right) (λ _ _ _, rel.mul_compat_left),
mul_assoc := by { rintros ⟨⟩ ⟨⟩ ⟨⟩, exact quot.sound rel.mul_assoc },
one := quot.mk _ 1,
one_mul := by { rintros ⟨⟩, exact quot.sound rel.one_mul },
mul_one := by { rintros ⟨⟩, exact quot.sound rel.mul_one },
left_distrib := by { rintros ⟨⟩ ⟨⟩ ⟨⟩, exact quot.sound rel.left_distrib },
right_distrib := by { rintros ⟨⟩ ⟨⟩ ⟨⟩, exact quot.sound rel.right_distrib },
zero_mul := by { rintros ⟨⟩, exact quot.sound rel.zero_mul },
mul_zero := by { rintros ⟨⟩, exact quot.sound rel.mul_zero } }
instance : inhabited (free_algebra R X) := ⟨0⟩
instance : has_scalar R (free_algebra R X) :=
{ smul := λ r a, quot.lift_on a (λ x, quot.mk _ $ ↑r * x) $
λ a b h, quot.sound (rel.mul_compat_right h) }
instance : algebra R (free_algebra R X) :=
{ to_fun := λ r, quot.mk _ r,
map_one' := rfl,
map_mul' := λ _ _, quot.sound rel.mul_scalar,
map_zero' := rfl,
map_add' := λ _ _, quot.sound rel.add_scalar,
commutes' := λ _, by { rintros ⟨⟩, exact quot.sound rel.central_scalar },
smul_def' := λ _ _, rfl }
instance {S : Type*} [comm_ring S] : ring (free_algebra S X) := algebra.semiring_to_ring S
variables {X}
/--
The canonical function `X → free_algebra R X`.
-/
def ι : X → free_algebra R X := λ m, quot.mk _ m
@[simp] lemma quot_mk_eq_ι (m : X) : quot.mk (free_algebra.rel R X) m = ι R m := rfl
variables {A : Type*} [semiring A] [algebra R A]
/-- Internal definition used to define `lift` -/
private def lift_aux (f : X → A) : (free_algebra R X →ₐ[R] A) :=
{ to_fun := λ a, quot.lift_on a (lift_fun _ _ f) $ λ a b h,
begin
induction h,
{ exact (algebra_map R A).map_add h_r h_s, },
{ exact (algebra_map R A).map_mul h_r h_s },
{ apply algebra.commutes },
{ change _ + _ + _ = _ + (_ + _),
rw add_assoc },
{ change _ + _ = _ + _,
rw add_comm, },
{ change (algebra_map _ _ _) + lift_fun R X f _ = lift_fun R X f _,
simp, },
{ change _ * _ * _ = _ * (_ * _),
rw mul_assoc },
{ change (algebra_map _ _ _) * lift_fun R X f _ = lift_fun R X f _,
simp, },
{ change lift_fun R X f _ * (algebra_map _ _ _) = lift_fun R X f _,
simp, },
{ change _ * (_ + _) = _ * _ + _ * _,
rw left_distrib, },
{ change (_ + _) * _ = _ * _ + _ * _,
rw right_distrib, },
{ change (algebra_map _ _ _) * _ = algebra_map _ _ _,
simp },
{ change _ * (algebra_map _ _ _) = algebra_map _ _ _,
simp },
repeat { change lift_fun R X f _ + lift_fun R X f _ = _,
rw h_ih,
refl, },
repeat { change lift_fun R X f _ * lift_fun R X f _ = _,
rw h_ih,
refl, },
end,
map_one' := by { change algebra_map _ _ _ = _, simp },
map_mul' := by { rintros ⟨⟩ ⟨⟩, refl },
map_zero' := by { change algebra_map _ _ _ = _, simp },
map_add' := by { rintros ⟨⟩ ⟨⟩, refl },
commutes' := by tauto }
/--
Given a function `f : X → A` where `A` is an `R`-algebra, `lift R f` is the unique lift
of `f` to a morphism of `R`-algebras `free_algebra R X → A`.
-/
def lift : (X → A) ≃ (free_algebra R X →ₐ[R] A) :=
{ to_fun := lift_aux R,
inv_fun := λ F, F ∘ (ι R),
left_inv := λ f, by {ext, refl},
right_inv := λ F, by {
ext x,
rcases x,
induction x,
case pre.of : {
change ((F : free_algebra R X → A) ∘ (ι R)) _ = _,
refl },
case pre.of_scalar : {
change algebra_map _ _ x = F (algebra_map _ _ x),
rw alg_hom.commutes F x, },
case pre.add : a b ha hb {
change lift_aux R (F ∘ ι R) (quot.mk _ _ + quot.mk _ _) = F (quot.mk _ _ + quot.mk _ _),
rw [alg_hom.map_add, alg_hom.map_add, ha, hb], },
case pre.mul : a b ha hb {
change lift_aux R (F ∘ ι R) (quot.mk _ _ * quot.mk _ _) = F (quot.mk _ _ * quot.mk _ _),
rw [alg_hom.map_mul, alg_hom.map_mul, ha, hb], }, }, }
@[simp] lemma lift_aux_eq (f : X → A) : lift_aux R f = lift R f := rfl
@[simp]
lemma lift_symm_apply (F : free_algebra R X →ₐ[R] A) : (lift R).symm F = F ∘ (ι R) := rfl
variables {R X}
@[simp]
theorem ι_comp_lift (f : X → A) :
(lift R f : free_algebra R X → A) ∘ (ι R) = f := by {ext, refl}
@[simp]
theorem lift_ι_apply (f : X → A) (x) :
lift R f (ι R x) = f x := rfl
@[simp]
theorem lift_unique (f : X → A) (g : free_algebra R X →ₐ[R] A) :
(g : free_algebra R X → A) ∘ (ι R) = f ↔ g = lift R f :=
(lift R).symm_apply_eq
/-!
At this stage we set the basic definitions as `@[irreducible]`, so from this point onwards one
should only use the universal properties of the free algebra, and consider the actual implementation
as a quotient of an inductive type as completely hidden.
Of course, one still has the option to locally make these definitions `semireducible` if so desired,
and Lean is still willing in some circumstances to do unification based on the underlying
definition.
-/
attribute [irreducible] ι lift
-- Marking `free_algebra` irreducible makes `ring` instances inaccessible on quotients.
-- https://leanprover.zulipchat.com/#narrow/stream/113488-general/topic/algebra.2Esemiring_to_ring.20breaks.20semimodule.20typeclass.20lookup/near/212580241
-- For now, we avoid this by not marking it irreducible.
@[simp]
theorem lift_comp_ι (g : free_algebra R X →ₐ[R] A) :
lift R ((g : free_algebra R X → A) ∘ (ι R)) = g :=
by { rw ←lift_symm_apply, exact (lift R).apply_symm_apply g }
/-- See note [partially-applied ext lemmas]. -/
@[ext]
theorem hom_ext {f g : free_algebra R X →ₐ[R] A}
(w : ((f : free_algebra R X → A) ∘ (ι R)) = ((g : free_algebra R X → A) ∘ (ι R))) : f = g :=
begin
rw [←lift_symm_apply, ←lift_symm_apply] at w,
exact (lift R).symm.injective w,
end
/--
The free algebra on `X` is "just" the monoid algebra on the free monoid on `X`.
This would be useful when constructing linear maps out of a free algebra,
for example.
-/
noncomputable
def equiv_monoid_algebra_free_monoid : free_algebra R X ≃ₐ[R] monoid_algebra R (free_monoid X) :=
alg_equiv.of_alg_hom
(lift R (λ x, (monoid_algebra.of R (free_monoid X)) (free_monoid.of x)))
((monoid_algebra.lift R (free_monoid X) (free_algebra R X)) (free_monoid.lift (ι R)))
begin
apply monoid_algebra.alg_hom_ext, intro x,
apply free_monoid.rec_on x,
{ simp, refl, },
{ intros x y ih, simp at ih, simp [ih], }
end
(by { ext, simp, })
instance [nontrivial R] : nontrivial (free_algebra R X) :=
equiv_monoid_algebra_free_monoid.to_equiv.nontrivial
section
open_locale classical
/-- The left-inverse of `algebra_map`. -/
def algebra_map_inv : free_algebra R X →ₐ[R] R :=
lift R (0 : X → R)
lemma algebra_map_left_inverse :
function.left_inverse algebra_map_inv (algebra_map R $ free_algebra R X) :=
λ x, by simp [algebra_map_inv]
-- this proof is copied from the approach in `free_abelian_group.of_injective`
lemma ι_injective [nontrivial R] : function.injective (ι R : X → free_algebra R X) :=
λ x y hoxy, classical.by_contradiction $ assume hxy : x ≠ y,
let f : free_algebra R X →ₐ[R] R := lift R (λ z, if x = z then (1 : R) else 0) in
have hfx1 : f (ι R x) = 1, from (lift_ι_apply _ _).trans $ if_pos rfl,
have hfy1 : f (ι R y) = 1, from hoxy ▸ hfx1,
have hfy0 : f (ι R y) = 0, from (lift_ι_apply _ _).trans $ if_neg hxy,
one_ne_zero $ hfy1.symm.trans hfy0
end
end free_algebra
/- There is something weird in the above namespace that breaks the typeclass resolution of
`has_coe_to_sort` below. Closing it and reopening it fixes it... -/
namespace free_algebra
/-- An induction principle for the free algebra.
If `C` holds for the `algebra_map` of `r : R` into `free_algebra R X`, the `ι` of `x : X`, and is
preserved under addition and muliplication, then it holds for all of `free_algebra R X`.
-/
@[elab_as_eliminator]
lemma induction {C : free_algebra R X → Prop}
(h_grade0 : ∀ r, C (algebra_map R (free_algebra R X) r))
(h_grade1 : ∀ x, C (ι R x))
(h_mul : ∀ a b, C a → C b → C (a * b))
(h_add : ∀ a b, C a → C b → C (a + b))
(a : free_algebra R X) :
C a :=
begin
-- the arguments are enough to construct a subalgebra, and a mapping into it from X
let s : subalgebra R (free_algebra R X) := {
carrier := C,
mul_mem' := h_mul,
add_mem' := h_add,
algebra_map_mem' := h_grade0, },
let of : X → s := subtype.coind (ι R) h_grade1,
-- the mapping through the subalgebra is the identity
have of_id : alg_hom.id R (free_algebra R X) = s.val.comp (lift R of),
{ ext,
simp [of, subtype.coind], },
-- finding a proof is finding an element of the subalgebra
convert subtype.prop (lift R of a),
simp [alg_hom.ext_iff] at of_id,
exact of_id a,
end
/-- The star ring formed by reversing the elements of products -/
instance : star_ring (free_algebra R X) :=
{ star := opposite.unop ∘ lift R (opposite.op ∘ ι R),
star_involutive := λ x, by {
unfold has_star.star,
simp only [function.comp_apply],
refine free_algebra.induction R X _ _ _ _ x; intros; simp [*] },
star_mul := λ a b, by simp,
star_add := λ a b, by simp }
@[simp]
lemma star_ι (x : X) : star (ι R x) = (ι R x) :=
by simp [star, has_star.star]
@[simp]
lemma star_algebra_map (r : R) : star (algebra_map R (free_algebra R X) r) = (algebra_map R _ r) :=
by simp [star, has_star.star]
/-- `star` as an `alg_equiv` -/
def star_hom : free_algebra R X ≃ₐ[R] (free_algebra R X)ᵒᵖ :=
{ commutes' := λ r, by simp [star_algebra_map],
..star_ring_equiv }
end free_algebra
|
af6a6f07e2a61ea5de87c5148a9177424c5822ea | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/1361b.lean | f3b73957f5e0abe33b5ee543fa43d92e2aa505f2 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 554 | lean | def Multiset (α: Type) : Type := sorry
def Multiset.ndinsert [DecidableEq α](a : α): Multiset α → Multiset α := sorry
def Finset (α : Type _) : Type := @Subtype (Multiset α) sorry
def Finset.insert [DecidableEq α](a : α): Finset α → Finset α
| ⟨ms, prop⟩ => ⟨ms.ndinsert a, sorry⟩
inductive Bar : Finset Nat → Type
| insert : Bar (Finset.insert n Γ)
| empty : Bar Γ
example {Γ: Finset Nat}: ∀ (p: Bar Γ), Nat
| Bar.empty => 1 -- missing cases: (@Bar.insert _ (Subtype.mk _ _))
| _ => 2 -- redundant alternative
|
96663895493fe41572d980d5ce0d4fb1d63e7139 | 36c7a18fd72e5b57229bd8ba36493daf536a19ce | /tests/lean/run/blast22.lean | 5e6fc398eea366c6d392617a4f03337dcf6f2d4c | [
"Apache-2.0"
] | permissive | YHVHvx/lean | 732bf0fb7a298cd7fe0f15d82f8e248c11db49e9 | 038369533e0136dd395dc252084d3c1853accbf2 | refs/heads/master | 1,610,701,080,210 | 1,449,128,595,000 | 1,449,128,595,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 697 | lean | -- Basic (propositional) forward chaining
constants (A B C D : Prop)
definition lemma1 : A → (A → B) → B := by blast
definition lemma2 : ¬ B → (A → B) → ¬ A := by blast
definition lemma3 : ¬ C → A → (A → B → C) → ¬ B := by blast
definition lemma4 : C → A → (A → B → ¬ C) → ¬ B := by blast
-- TODO(dhs): [forward_action] is responsible for
-- eliminating double negation
definition lemma5 : C → A → (A → ¬ B → ¬ C) → ¬ ¬ B := by blast
definition lemma6 : (A → B → ¬ C) → C → A → ¬ B := by blast
definition lemma7 : ¬ C → (A → B → C) → A → ¬ B := by blast
definition lemma8 : A → (A → B) → C → B ∧ C := by blast
|
678701cfa380e5975ec6854f582bc0e4997900fc | 9a0192b31a07f48502dacee8122e0b8beda7b110 | /lista5.lean | 31f7a7ab1eabb34b0e1eee34f0bd23a1334f7d01 | [] | no_license | ana-/Lean | 8a5b9f2e13685bd43efd72c6665401c0851157cb | 4527da83de947fa1df368b2f9bcf322a4d14e121 | refs/heads/master | 1,593,588,619,552 | 1,565,196,720,000 | 1,565,196,720,000 | 201,090,102 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,065 | lean | /-
Lista 3 do EAD
Questão 4- Considere as seguintes informações:
• Se o professor der um teste, então os alunos vão bem ou mal no teste.
• Se os alunos forem bem, então o professor vai achar que o teste estava fácil e ficará frustrado.
• Se os alunos forem mal, então o professor vai achar que os alunos não aprenderam nada de lógica e ficará
frustrado.
Queremos saber se podemos, a partir do texto, concluir que
1. Se o professor der um teste, então o professor ficará frustrado.
2. Se o professor não der um teste, então o professor não ficará frustrado.
P : “o professor dá um teste”
F : “o professor fica frustrado”
B : “os alunos vão bem no teste”
L : “os alunos aprenderam lógica”
T : “o teste está fácil
-/
--resposta
-- Existe outra possível conclusão dessas premissas?
variables P F B L T : Prop
#check ((P → (B ∨ ¬ B))∧ (B → (T ∧ F)) ∧ (¬ B → (¬ L ∧ F))) → (P → F)
#check ((P → (B ∨ ¬ B))∧ (B → (T ∧ F)) ∧ (¬ B → (¬ L ∧ F))) → (¬ P → ¬ F) |
d92f4fc924b3e903fd785930adfa88ceea7e5fc3 | 38ee9024fb5974f555fb578fcf5a5a7b71e669b5 | /test/basicTactics.lean | 80b08544f7bde60e8e224d2e325bd1d1a0f17afe | [
"Apache-2.0"
] | permissive | denayd/mathlib4 | 750e0dcd106554640a1ac701e51517501a574715 | 7f40a5c514066801ab3c6d431e9f405baa9b9c58 | refs/heads/master | 1,693,743,991,894 | 1,636,618,048,000 | 1,636,618,048,000 | 373,926,241 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,034 | lean | import Mathlib.Tactic.Basic
example : ∀ a b : Nat, a = b → b = a := by
introv h
exact h.symm
example (n : Nat) : n = n := by
induction n
exacts [rfl, rfl]
exacts []
example (n : Nat) : Nat := by
guardHyp n : Nat
let m : Nat := 1
guardHyp m := 1
guardHyp m : Nat := 1
guardTarget == Nat
exact 0
example (a b : Nat) : a ≠ b → ¬ a = b := by
intros
byContra H
contradiction
example (a b : Nat) : ¬¬ a = b → a = b := by
intros
byContra H
contradiction
example (p q : Prop) : ¬¬ p → p := by
intros
byContra H
contradiction
example (n m : Nat) : Unit := by
cases n
cases m
iterate 3 exact ()
example (p q r s : Prop) : p → q → r → s → (p ∧ q) ∧ (r ∧ s ∧ p) ∧ (p ∧ r ∧ q) := by
intros
repeat' constructor
repeat' assumption
example (p q : Prop) : p → q → (p ∧ q) ∧ (p ∧ q ∧ p) := by
intros
constructor
fail_if_success any_goals assumption
all_goals constructor
any_goals assumption
constructor
any_goals assumption
|
544aaeaa5cf1ce8861b26aa3e2933d20df1fdc6c | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/hinst_lemmas1.lean | c9c67dc23b35cbfb2b5eae8d150255ddae01d379 | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 321 | lean | run_cmd
do
tactic.trace "hinst_lemmas example:",
hs ← return $ hinst_lemmas.mk,
h₁ ← hinst_lemma.mk_from_decl `nat.add_zero,
h₂ ← hinst_lemma.mk_from_decl `nat.zero_add,
h₃ ← hinst_lemma.mk_from_decl `nat.add_comm,
hs ← return $ ((hs^.add h₁)^.add h₂)^.add h₃,
hs^.pp >>= tactic.trace
|
3cb2120669e5e8f4b7c6d907d995047018834501 | abd85493667895c57a7507870867b28124b3998f | /src/analysis/normed_space/basic.lean | 19d033739bab800972fbed007929db71c7a5783f | [
"Apache-2.0"
] | permissive | pechersky/mathlib | d56eef16bddb0bfc8bc552b05b7270aff5944393 | f1df14c2214ee114c9738e733efd5de174deb95d | refs/heads/master | 1,666,714,392,571 | 1,591,747,567,000 | 1,591,747,567,000 | 270,557,274 | 0 | 0 | Apache-2.0 | 1,591,597,975,000 | 1,591,597,974,000 | null | UTF-8 | Lean | false | false | 46,647 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
-/
import topology.instances.nnreal
import topology.instances.complex
import topology.algebra.module
import topology.metric_space.antilipschitz
/-!
# Normed spaces
-/
variables {α : Type*} {β : Type*} {γ : Type*} {ι : Type*}
noncomputable theory
open filter metric
open_locale topological_space big_operators
localized "notation f `→_{`:50 a `}`:0 b := filter.tendsto f (_root_.nhds a) (_root_.nhds b)" in filter
/-- Auxiliary class, endowing a type `α` with a function `norm : α → ℝ`. This class is designed to
be extended in more interesting classes specifying the properties of the norm. -/
class has_norm (α : Type*) := (norm : α → ℝ)
export has_norm (norm)
notation `∥`:1024 e:1 `∥`:1 := norm e
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed group is an additive group endowed with a norm for which `dist x y = ∥x - y∥` defines
a metric space structure. -/
class normed_group (α : Type*) extends has_norm α, add_comm_group α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
end prio
/-- Construct a normed group from a translation invariant distance -/
def normed_group.of_add_dist [has_norm α] [add_comm_group α] [metric_space α]
(H1 : ∀ x:α, ∥x∥ = dist x 0)
(H2 : ∀ x y z : α, dist x y ≤ dist (x + z) (y + z)) : normed_group α :=
{ dist_eq := λ x y, begin
rw H1, apply le_antisymm,
{ rw [sub_eq_add_neg, ← add_right_neg y], apply H2 },
{ have := H2 (x-y) 0 y, rwa [sub_add_cancel, zero_add] at this }
end }
/-- Construct a normed group from a translation invariant distance -/
def normed_group.of_add_dist' [has_norm α] [add_comm_group α] [metric_space α]
(H1 : ∀ x:α, ∥x∥ = dist x 0)
(H2 : ∀ x y z : α, dist (x + z) (y + z) ≤ dist x y) : normed_group α :=
{ dist_eq := λ x y, begin
rw H1, apply le_antisymm,
{ have := H2 (x-y) 0 y, rwa [sub_add_cancel, zero_add] at this },
{ rw [sub_eq_add_neg, ← add_right_neg y], apply H2 }
end }
/-- A normed group can be built from a norm that satisfies algebraic properties. This is
formalised in this structure. -/
structure normed_group.core (α : Type*) [add_comm_group α] [has_norm α] : Prop :=
(norm_eq_zero_iff : ∀ x : α, ∥x∥ = 0 ↔ x = 0)
(triangle : ∀ x y : α, ∥x + y∥ ≤ ∥x∥ + ∥y∥)
(norm_neg : ∀ x : α, ∥-x∥ = ∥x∥)
/-- Constructing a normed group from core properties of a norm, i.e., registering the distance and
the metric space structure from the norm properties. -/
noncomputable def normed_group.of_core (α : Type*) [add_comm_group α] [has_norm α]
(C : normed_group.core α) : normed_group α :=
{ dist := λ x y, ∥x - y∥,
dist_eq := assume x y, by refl,
dist_self := assume x, (C.norm_eq_zero_iff (x - x)).mpr (show x - x = 0, by simp),
eq_of_dist_eq_zero := assume x y h, show (x = y), from sub_eq_zero.mp $ (C.norm_eq_zero_iff (x - y)).mp h,
dist_triangle := assume x y z,
calc ∥x - z∥ = ∥x - y + (y - z)∥ : by rw sub_add_sub_cancel
... ≤ ∥x - y∥ + ∥y - z∥ : C.triangle _ _,
dist_comm := assume x y,
calc ∥x - y∥ = ∥ -(y - x)∥ : by simp
... = ∥y - x∥ : by { rw [C.norm_neg] } }
section normed_group
variables [normed_group α] [normed_group β]
lemma dist_eq_norm (g h : α) : dist g h = ∥g - h∥ :=
normed_group.dist_eq _ _
@[simp] lemma dist_zero_right (g : α) : dist g 0 = ∥g∥ :=
by rw [dist_eq_norm, sub_zero]
lemma norm_sub_rev (g h : α) : ∥g - h∥ = ∥h - g∥ :=
by simpa only [dist_eq_norm] using dist_comm g h
@[simp] lemma norm_neg (g : α) : ∥-g∥ = ∥g∥ :=
by simpa using norm_sub_rev 0 g
@[simp] lemma dist_add_left (g h₁ h₂ : α) : dist (g + h₁) (g + h₂) = dist h₁ h₂ :=
by simp [dist_eq_norm]
@[simp] lemma dist_add_right (g₁ g₂ h : α) : dist (g₁ + h) (g₂ + h) = dist g₁ g₂ :=
by simp [dist_eq_norm]
@[simp] lemma dist_neg_neg (g h : α) : dist (-g) (-h) = dist g h :=
by simp only [dist_eq_norm, neg_sub_neg, norm_sub_rev]
@[simp] lemma dist_sub_left (g h₁ h₂ : α) : dist (g - h₁) (g - h₂) = dist h₁ h₂ :=
by simp only [sub_eq_add_neg, dist_add_left, dist_neg_neg]
@[simp] lemma dist_sub_right (g₁ g₂ h : α) : dist (g₁ - h) (g₂ - h) = dist g₁ g₂ :=
dist_add_right _ _ _
/-- Triangle inequality for the norm. -/
lemma norm_add_le (g h : α) : ∥g + h∥ ≤ ∥g∥ + ∥h∥ :=
by simpa [dist_eq_norm] using dist_triangle g 0 (-h)
lemma norm_add_le_of_le {g₁ g₂ : α} {n₁ n₂ : ℝ} (H₁ : ∥g₁∥ ≤ n₁) (H₂ : ∥g₂∥ ≤ n₂) :
∥g₁ + g₂∥ ≤ n₁ + n₂ :=
le_trans (norm_add_le g₁ g₂) (add_le_add H₁ H₂)
lemma dist_add_add_le (g₁ g₂ h₁ h₂ : α) :
dist (g₁ + g₂) (h₁ + h₂) ≤ dist g₁ h₁ + dist g₂ h₂ :=
by simpa only [dist_add_left, dist_add_right] using dist_triangle (g₁ + g₂) (h₁ + g₂) (h₁ + h₂)
lemma dist_add_add_le_of_le {g₁ g₂ h₁ h₂ : α} {d₁ d₂ : ℝ}
(H₁ : dist g₁ h₁ ≤ d₁) (H₂ : dist g₂ h₂ ≤ d₂) :
dist (g₁ + g₂) (h₁ + h₂) ≤ d₁ + d₂ :=
le_trans (dist_add_add_le g₁ g₂ h₁ h₂) (add_le_add H₁ H₂)
lemma dist_sub_sub_le (g₁ g₂ h₁ h₂ : α) :
dist (g₁ - g₂) (h₁ - h₂) ≤ dist g₁ h₁ + dist g₂ h₂ :=
dist_neg_neg g₂ h₂ ▸ dist_add_add_le _ _ _ _
lemma dist_sub_sub_le_of_le {g₁ g₂ h₁ h₂ : α} {d₁ d₂ : ℝ}
(H₁ : dist g₁ h₁ ≤ d₁) (H₂ : dist g₂ h₂ ≤ d₂) :
dist (g₁ - g₂) (h₁ - h₂) ≤ d₁ + d₂ :=
le_trans (dist_sub_sub_le g₁ g₂ h₁ h₂) (add_le_add H₁ H₂)
lemma abs_dist_sub_le_dist_add_add (g₁ g₂ h₁ h₂ : α) :
abs (dist g₁ h₁ - dist g₂ h₂) ≤ dist (g₁ + g₂) (h₁ + h₂) :=
by simpa only [dist_add_left, dist_add_right, dist_comm h₂]
using abs_dist_sub_le (g₁ + g₂) (h₁ + h₂) (h₁ + g₂)
@[simp] lemma norm_nonneg (g : α) : 0 ≤ ∥g∥ :=
by { rw[←dist_zero_right], exact dist_nonneg }
@[simp] lemma norm_eq_zero {g : α} : ∥g∥ = 0 ↔ g = 0 :=
dist_zero_right g ▸ dist_eq_zero
@[simp] lemma norm_zero : ∥(0:α)∥ = 0 := norm_eq_zero.2 rfl
lemma norm_sum_le {β} : ∀(s : finset β) (f : β → α), ∥s.sum f∥ ≤ s.sum (λa, ∥ f a ∥) :=
finset.le_sum_of_subadditive norm norm_zero norm_add_le
lemma norm_sum_le_of_le {β} (s : finset β) {f : β → α} {n : β → ℝ} (h : ∀ b ∈ s, ∥f b∥ ≤ n b) :
∥s.sum f∥ ≤ s.sum n :=
by { haveI := classical.dec_eq β, exact le_trans (norm_sum_le s f) (finset.sum_le_sum h) }
lemma norm_pos_iff {g : α} : 0 < ∥ g ∥ ↔ g ≠ 0 :=
dist_zero_right g ▸ dist_pos
lemma norm_le_zero_iff {g : α} : ∥g∥ ≤ 0 ↔ g = 0 :=
by { rw[←dist_zero_right], exact dist_le_zero }
lemma norm_sub_le (g h : α) : ∥g - h∥ ≤ ∥g∥ + ∥h∥ :=
by simpa [dist_eq_norm] using dist_triangle g 0 h
lemma norm_sub_le_of_le {g₁ g₂ : α} {n₁ n₂ : ℝ} (H₁ : ∥g₁∥ ≤ n₁) (H₂ : ∥g₂∥ ≤ n₂) :
∥g₁ - g₂∥ ≤ n₁ + n₂ :=
le_trans (norm_sub_le g₁ g₂) (add_le_add H₁ H₂)
lemma dist_le_norm_add_norm (g h : α) : dist g h ≤ ∥g∥ + ∥h∥ :=
by { rw dist_eq_norm, apply norm_sub_le }
lemma abs_norm_sub_norm_le (g h : α) : abs(∥g∥ - ∥h∥) ≤ ∥g - h∥ :=
by simpa [dist_eq_norm] using abs_dist_sub_le g h 0
lemma norm_sub_norm_le (g h : α) : ∥g∥ - ∥h∥ ≤ ∥g - h∥ :=
le_trans (le_abs_self _) (abs_norm_sub_norm_le g h)
lemma dist_norm_norm_le (g h : α) : dist ∥g∥ ∥h∥ ≤ ∥g - h∥ :=
abs_norm_sub_norm_le g h
lemma ball_0_eq (ε : ℝ) : ball (0:α) ε = {x | ∥x∥ < ε} :=
set.ext $ assume a, by simp
lemma norm_le_of_mem_closed_ball {g h : α} {r : ℝ} (H : h ∈ closed_ball g r) :
∥h∥ ≤ ∥g∥ + r :=
calc
∥h∥ = ∥g + (h - g)∥ : by rw [add_sub_cancel'_right]
... ≤ ∥g∥ + ∥h - g∥ : norm_add_le _ _
... ≤ ∥g∥ + r : by { apply add_le_add_left, rw ← dist_eq_norm, exact H }
lemma norm_lt_of_mem_ball {g h : α} {r : ℝ} (H : h ∈ ball g r) :
∥h∥ < ∥g∥ + r :=
calc
∥h∥ = ∥g + (h - g)∥ : by rw [add_sub_cancel'_right]
... ≤ ∥g∥ + ∥h - g∥ : norm_add_le _ _
... < ∥g∥ + r : by { apply add_lt_add_left, rw ← dist_eq_norm, exact H }
@[nolint ge_or_gt] -- see Note [nolint_ge]
theorem normed_group.tendsto_nhds_zero {f : γ → α} {l : filter γ} :
tendsto f l (𝓝 0) ↔ ∀ ε > 0, ∀ᶠ x in l, ∥ f x ∥ < ε :=
metric.tendsto_nhds.trans $ by simp only [dist_zero_right]
section nnnorm
/-- Version of the norm taking values in nonnegative reals. -/
def nnnorm (a : α) : nnreal := ⟨norm a, norm_nonneg a⟩
@[simp] lemma coe_nnnorm (a : α) : (nnnorm a : ℝ) = norm a := rfl
lemma nndist_eq_nnnorm (a b : α) : nndist a b = nnnorm (a - b) := nnreal.eq $ dist_eq_norm _ _
@[simp] lemma nnnorm_eq_zero {a : α} : nnnorm a = 0 ↔ a = 0 :=
by simp only [nnreal.eq_iff.symm, nnreal.coe_zero, coe_nnnorm, norm_eq_zero]
@[simp] lemma nnnorm_zero : nnnorm (0 : α) = 0 :=
nnreal.eq norm_zero
lemma nnnorm_add_le (g h : α) : nnnorm (g + h) ≤ nnnorm g + nnnorm h :=
nnreal.coe_le_coe.2 $ norm_add_le g h
@[simp] lemma nnnorm_neg (g : α) : nnnorm (-g) = nnnorm g :=
nnreal.eq $ norm_neg g
lemma nndist_nnnorm_nnnorm_le (g h : α) : nndist (nnnorm g) (nnnorm h) ≤ nnnorm (g - h) :=
nnreal.coe_le_coe.2 $ dist_norm_norm_le g h
lemma of_real_norm_eq_coe_nnnorm (x : β) : ennreal.of_real ∥x∥ = (nnnorm x : ennreal) :=
ennreal.of_real_eq_coe_nnreal _
lemma edist_eq_coe_nnnorm_sub (x y : β) : edist x y = (nnnorm (x - y) : ennreal) :=
by rw [edist_dist, dist_eq_norm, of_real_norm_eq_coe_nnnorm]
lemma edist_eq_coe_nnnorm (x : β) : edist x 0 = (nnnorm x : ennreal) :=
by rw [edist_eq_coe_nnnorm_sub, _root_.sub_zero]
lemma nndist_add_add_le (g₁ g₂ h₁ h₂ : α) :
nndist (g₁ + g₂) (h₁ + h₂) ≤ nndist g₁ h₁ + nndist g₂ h₂ :=
nnreal.coe_le_coe.2 $ dist_add_add_le g₁ g₂ h₁ h₂
lemma edist_add_add_le (g₁ g₂ h₁ h₂ : α) :
edist (g₁ + g₂) (h₁ + h₂) ≤ edist g₁ h₁ + edist g₂ h₂ :=
by { simp only [edist_nndist], norm_cast, apply nndist_add_add_le }
lemma nnnorm_sum_le {β} : ∀(s : finset β) (f : β → α), nnnorm (s.sum f) ≤ s.sum (λa, nnnorm (f a)) :=
finset.le_sum_of_subadditive nnnorm nnnorm_zero nnnorm_add_le
end nnnorm
lemma lipschitz_with.neg {α : Type*} [emetric_space α] {K : nnreal} {f : α → β}
(hf : lipschitz_with K f) : lipschitz_with K (λ x, -f x) :=
λ x y, by simpa only [edist_dist, dist_neg_neg] using hf x y
lemma lipschitz_with.add {α : Type*} [emetric_space α] {Kf : nnreal} {f : α → β}
(hf : lipschitz_with Kf f) {Kg : nnreal} {g : α → β} (hg : lipschitz_with Kg g) :
lipschitz_with (Kf + Kg) (λ x, f x + g x) :=
λ x y,
calc edist (f x + g x) (f y + g y) ≤ edist (f x) (f y) + edist (g x) (g y) :
edist_add_add_le _ _ _ _
... ≤ Kf * edist x y + Kg * edist x y :
add_le_add' (hf x y) (hg x y)
... = (Kf + Kg) * edist x y :
(add_mul _ _ _).symm
lemma lipschitz_with.sub {α : Type*} [emetric_space α] {Kf : nnreal} {f : α → β}
(hf : lipschitz_with Kf f) {Kg : nnreal} {g : α → β} (hg : lipschitz_with Kg g) :
lipschitz_with (Kf + Kg) (λ x, f x - g x) :=
hf.add hg.neg
lemma antilipschitz_with.add_lipschitz_with {α : Type*} [metric_space α] {Kf : nnreal} {f : α → β}
(hf : antilipschitz_with Kf f) {Kg : nnreal} {g : α → β} (hg : lipschitz_with Kg g)
(hK : Kg < Kf⁻¹) :
antilipschitz_with (Kf⁻¹ - Kg)⁻¹ (λ x, f x + g x) :=
begin
refine antilipschitz_with.of_le_mul_dist (λ x y, _),
rw [nnreal.coe_inv, ← div_eq_inv_mul],
apply le_div_of_mul_le (nnreal.coe_pos.2 $ nnreal.sub_pos.2 hK),
rw [mul_comm, nnreal.coe_sub (le_of_lt hK), sub_mul],
calc ↑Kf⁻¹ * dist x y - Kg * dist x y ≤ dist (f x) (f y) - dist (g x) (g y) :
sub_le_sub (hf.mul_le_dist x y) (hg.dist_le_mul x y)
... ≤ _ : le_trans (le_abs_self _) (abs_dist_sub_le_dist_add_add _ _ _ _)
end
/-- A submodule of a normed group is also a normed group, with the restriction of the norm.
As all instances can be inferred from the submodule `s`, they are put as implicit instead of
typeclasses. -/
instance submodule.normed_group {𝕜 : Type*} {_ : ring 𝕜}
{E : Type*} [normed_group E] {_ : module 𝕜 E} (s : submodule 𝕜 E) : normed_group s :=
{ norm := λx, norm (x : E),
dist_eq := λx y, dist_eq_norm (x : E) (y : E) }
/-- normed group instance on the product of two normed groups, using the sup norm. -/
instance prod.normed_group : normed_group (α × β) :=
{ norm := λx, max ∥x.1∥ ∥x.2∥,
dist_eq := assume (x y : α × β),
show max (dist x.1 y.1) (dist x.2 y.2) = (max ∥(x - y).1∥ ∥(x - y).2∥), by simp [dist_eq_norm] }
lemma prod.norm_def (x : α × β) : ∥x∥ = (max ∥x.1∥ ∥x.2∥) := rfl
lemma norm_fst_le (x : α × β) : ∥x.1∥ ≤ ∥x∥ :=
le_max_left _ _
lemma norm_snd_le (x : α × β) : ∥x.2∥ ≤ ∥x∥ :=
le_max_right _ _
lemma norm_prod_le_iff {x : α × β} {r : ℝ} :
∥x∥ ≤ r ↔ ∥x.1∥ ≤ r ∧ ∥x.2∥ ≤ r :=
max_le_iff
/-- normed group instance on the product of finitely many normed groups, using the sup norm. -/
instance pi.normed_group {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] :
normed_group (Πi, π i) :=
{ norm := λf, ((finset.sup finset.univ (λ b, nnnorm (f b)) : nnreal) : ℝ),
dist_eq := assume x y,
congr_arg (coe : nnreal → ℝ) $ congr_arg (finset.sup finset.univ) $ funext $ assume a,
show nndist (x a) (y a) = nnnorm (x a - y a), from nndist_eq_nnnorm _ _ }
/-- The norm of an element in a product space is `≤ r` if and only if the norm of each
component is. -/
lemma pi_norm_le_iff {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] {r : ℝ} (hr : 0 ≤ r)
{x : Πi, π i} : ∥x∥ ≤ r ↔ ∀i, ∥x i∥ ≤ r :=
by { simp only [(dist_zero_right _).symm, dist_pi_le_iff hr], refl }
lemma norm_le_pi_norm {π : ι → Type*} [fintype ι] [∀i, normed_group (π i)] (x : Πi, π i) (i : ι) :
∥x i∥ ≤ ∥x∥ :=
(pi_norm_le_iff (norm_nonneg x)).1 (le_refl _) i
lemma tendsto_iff_norm_tendsto_zero {f : ι → β} {a : filter ι} {b : β} :
tendsto f a (𝓝 b) ↔ tendsto (λ e, ∥ f e - b ∥) a (𝓝 0) :=
by rw tendsto_iff_dist_tendsto_zero ; simp only [(dist_eq_norm _ _).symm]
lemma tendsto_zero_iff_norm_tendsto_zero {f : γ → β} {a : filter γ} :
tendsto f a (𝓝 0) ↔ tendsto (λ e, ∥ f e ∥) a (𝓝 0) :=
have tendsto f a (𝓝 0) ↔ tendsto (λ e, ∥ f e - 0 ∥) a (𝓝 0) :=
tendsto_iff_norm_tendsto_zero,
by simpa
lemma lim_norm (x : α) : (λg:α, ∥g - x∥) →_{x} 0 :=
tendsto_iff_norm_tendsto_zero.1 (continuous_iff_continuous_at.1 continuous_id x)
lemma lim_norm_zero : (λg:α, ∥g∥) →_{0} 0 :=
by simpa using lim_norm (0:α)
lemma continuous_norm : continuous (λg:α, ∥g∥) :=
begin
rw continuous_iff_continuous_at,
intro x,
rw [continuous_at, tendsto_iff_dist_tendsto_zero],
exact squeeze_zero (λ t, abs_nonneg _) (λ t, abs_norm_sub_norm_le _ _) (lim_norm x)
end
lemma filter.tendsto.norm {β : Type*} {l : filter β} {f : β → α} {a : α} (h : tendsto f l (𝓝 a)) :
tendsto (λ x, ∥f x∥) l (𝓝 ∥a∥) :=
tendsto.comp continuous_norm.continuous_at h
lemma continuous_nnnorm : continuous (nnnorm : α → nnreal) :=
continuous_subtype_mk _ continuous_norm
lemma filter.tendsto.nnnorm {β : Type*} {l : filter β} {f : β → α} {a : α} (h : tendsto f l (𝓝 a)) :
tendsto (λ x, nnnorm (f x)) l (𝓝 (nnnorm a)) :=
tendsto.comp continuous_nnnorm.continuous_at h
/-- If `∥y∥→∞`, then we can assume `y≠x` for any fixed `x`. -/
lemma eventually_ne_of_tendsto_norm_at_top {l : filter γ} {f : γ → α}
(h : tendsto (λ y, ∥f y∥) l at_top) (x : α) :
∀ᶠ y in l, f y ≠ x :=
begin
have : ∀ᶠ y in l, 1 + ∥x∥ ≤ ∥f y∥ := h (mem_at_top (1 + ∥x∥)),
refine this.mono (λ y hy hxy, _),
subst x,
exact not_le_of_lt zero_lt_one (add_le_iff_nonpos_left.1 hy)
end
/-- A normed group is a uniform additive group, i.e., addition and subtraction are uniformly
continuous. -/
@[priority 100] -- see Note [lower instance priority]
instance normed_uniform_group : uniform_add_group α :=
begin
refine ⟨metric.uniform_continuous_iff.2 $ assume ε hε, ⟨ε / 2, half_pos hε, assume a b h, _⟩⟩,
rw [prod.dist_eq, max_lt_iff, dist_eq_norm, dist_eq_norm] at h,
calc dist (a.1 - a.2) (b.1 - b.2) = ∥(a.1 - b.1) - (a.2 - b.2)∥ :
by simp [dist_eq_norm, sub_eq_add_neg]; abel
... ≤ ∥a.1 - b.1∥ + ∥a.2 - b.2∥ : norm_sub_le _ _
... < ε / 2 + ε / 2 : add_lt_add h.1 h.2
... = ε : add_halves _
end
@[priority 100] -- see Note [lower instance priority]
instance normed_top_monoid : topological_add_monoid α := by apply_instance -- short-circuit type class inference
@[priority 100] -- see Note [lower instance priority]
instance normed_top_group : topological_add_group α := by apply_instance -- short-circuit type class inference
end normed_group
section normed_ring
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed ring is a ring endowed with a norm which satisfies the inequality `∥x y∥ ≤ ∥x∥ ∥y∥`. -/
class normed_ring (α : Type*) extends has_norm α, ring α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
(norm_mul : ∀ a b, norm (a * b) ≤ norm a * norm b)
end prio
@[priority 100] -- see Note [lower instance priority]
instance normed_ring.to_normed_group [β : normed_ring α] : normed_group α := { ..β }
lemma norm_mul_le {α : Type*} [normed_ring α] (a b : α) : (∥a*b∥) ≤ (∥a∥) * (∥b∥) :=
normed_ring.norm_mul _ _
lemma norm_pow_le {α : Type*} [normed_ring α] (a : α) : ∀ {n : ℕ}, 0 < n → ∥a^n∥ ≤ ∥a∥^n
| 1 h := by simp
| (n+2) h :=
le_trans (norm_mul_le a (a^(n+1)))
(mul_le_mul (le_refl _)
(norm_pow_le (nat.succ_pos _)) (norm_nonneg _) (norm_nonneg _))
/-- Normed ring structure on the product of two normed rings, using the sup norm. -/
instance prod.normed_ring [normed_ring α] [normed_ring β] : normed_ring (α × β) :=
{ norm_mul := assume x y,
calc
∥x * y∥ = ∥(x.1*y.1, x.2*y.2)∥ : rfl
... = (max ∥x.1*y.1∥ ∥x.2*y.2∥) : rfl
... ≤ (max (∥x.1∥*∥y.1∥) (∥x.2∥*∥y.2∥)) :
max_le_max (norm_mul_le (x.1) (y.1)) (norm_mul_le (x.2) (y.2))
... = (max (∥x.1∥*∥y.1∥) (∥y.2∥*∥x.2∥)) : by simp[mul_comm]
... ≤ (max (∥x.1∥) (∥x.2∥)) * (max (∥y.2∥) (∥y.1∥)) : by { apply max_mul_mul_le_max_mul_max; simp [norm_nonneg] }
... = (max (∥x.1∥) (∥x.2∥)) * (max (∥y.1∥) (∥y.2∥)) : by simp[max_comm]
... = (∥x∥*∥y∥) : rfl,
..prod.normed_group }
end normed_ring
@[priority 100] -- see Note [lower instance priority]
instance normed_ring_top_monoid [normed_ring α] : topological_monoid α :=
⟨ continuous_iff_continuous_at.2 $ λ x, tendsto_iff_norm_tendsto_zero.2 $
have ∀ e : α × α, e.fst * e.snd - x.fst * x.snd =
e.fst * e.snd - e.fst * x.snd + (e.fst * x.snd - x.fst * x.snd), by intro; rw sub_add_sub_cancel,
begin
apply squeeze_zero,
{ intro, apply norm_nonneg },
{ simp only [this], intro, apply norm_add_le },
{ rw ←zero_add (0 : ℝ), apply tendsto.add,
{ apply squeeze_zero,
{ intro, apply norm_nonneg },
{ intro t, show ∥t.fst * t.snd - t.fst * x.snd∥ ≤ ∥t.fst∥ * ∥t.snd - x.snd∥,
rw ←mul_sub, apply norm_mul_le },
{ rw ←mul_zero (∥x.fst∥), apply tendsto.mul,
{ apply continuous_iff_continuous_at.1,
apply continuous_norm.comp continuous_fst },
{ apply tendsto_iff_norm_tendsto_zero.1,
apply continuous_iff_continuous_at.1,
apply continuous_snd }}},
{ apply squeeze_zero,
{ intro, apply norm_nonneg },
{ intro t, show ∥t.fst * x.snd - x.fst * x.snd∥ ≤ ∥t.fst - x.fst∥ * ∥x.snd∥,
rw ←sub_mul, apply norm_mul_le },
{ rw ←zero_mul (∥x.snd∥), apply tendsto.mul,
{ apply tendsto_iff_norm_tendsto_zero.1,
apply continuous_iff_continuous_at.1,
apply continuous_fst },
{ apply tendsto_const_nhds }}}}
end ⟩
/-- A normed ring is a topological ring. -/
@[priority 100] -- see Note [lower instance priority]
instance normed_top_ring [normed_ring α] : topological_ring α :=
⟨ continuous_iff_continuous_at.2 $ λ x, tendsto_iff_norm_tendsto_zero.2 $
have ∀ e : α, -e - -x = -(e - x), by intro; simp,
by simp only [this, norm_neg]; apply lim_norm ⟩
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed field is a field with a norm satisfying ∥x y∥ = ∥x∥ ∥y∥. -/
class normed_field (α : Type*) extends has_norm α, field α, metric_space α :=
(dist_eq : ∀ x y, dist x y = norm (x - y))
(norm_mul' : ∀ a b, norm (a * b) = norm a * norm b)
/-- A nondiscrete normed field is a normed field in which there is an element of norm different from
`0` and `1`. This makes it possible to bring any element arbitrarily close to `0` by multiplication
by the powers of any element, and thus to relate algebra and topology. -/
class nondiscrete_normed_field (α : Type*) extends normed_field α :=
(non_trivial : ∃x:α, 1<∥x∥)
end prio
@[priority 100] -- see Note [lower instance priority]
instance normed_field.to_normed_ring [i : normed_field α] : normed_ring α :=
{ norm_mul := by finish [i.norm_mul'], ..i }
namespace normed_field
@[simp] lemma norm_one {α : Type*} [normed_field α] : ∥(1 : α)∥ = 1 :=
have ∥(1 : α)∥ * ∥(1 : α)∥ = ∥(1 : α)∥ * 1, by calc
∥(1 : α)∥ * ∥(1 : α)∥ = ∥(1 : α) * (1 : α)∥ : by rw normed_field.norm_mul'
... = ∥(1 : α)∥ * 1 : by simp,
eq_of_mul_eq_mul_left (ne_of_gt (norm_pos_iff.2 (by simp))) this
@[simp] lemma norm_mul [normed_field α] (a b : α) : ∥a * b∥ = ∥a∥ * ∥b∥ :=
normed_field.norm_mul' a b
@[simp] lemma nnnorm_one [normed_field α] : nnnorm (1:α) = 1 := nnreal.eq $ by simp
instance normed_field.is_monoid_hom_norm [normed_field α] : is_monoid_hom (norm : α → ℝ) :=
{ map_one := norm_one, map_mul := norm_mul }
@[simp] lemma norm_pow [normed_field α] (a : α) : ∀ (n : ℕ), ∥a^n∥ = ∥a∥^n :=
is_monoid_hom.map_pow norm a
@[simp] lemma norm_prod {β : Type*} [normed_field α] (s : finset β) (f : β → α) :
∥s.prod f∥ = s.prod (λb, ∥f b∥) :=
eq.symm (s.prod_hom norm)
@[simp] lemma norm_div {α : Type*} [normed_field α] (a b : α) : ∥a/b∥ = ∥a∥/∥b∥ :=
begin
classical,
by_cases hb : b = 0, {simp [hb]},
apply eq_div_of_mul_eq,
{ apply ne_of_gt, apply norm_pos_iff.mpr hb },
{ rw [←normed_field.norm_mul, div_mul_cancel _ hb] }
end
@[simp] lemma norm_inv {α : Type*} [normed_field α] (a : α) : ∥a⁻¹∥ = ∥a∥⁻¹ :=
by simp only [inv_eq_one_div, norm_div, norm_one]
@[simp] lemma nnnorm_inv {α : Type*} [normed_field α] (a : α) : nnnorm (a⁻¹) = (nnnorm a)⁻¹ :=
nnreal.eq $ by simp
@[simp] lemma norm_fpow {α : Type*} [normed_field α] (a : α) : ∀n : ℤ,
∥a^n∥ = ∥a∥^n
| (n : ℕ) := norm_pow a n
| -[1+ n] := by simp [fpow_neg_succ_of_nat]
lemma exists_one_lt_norm (α : Type*) [i : nondiscrete_normed_field α] : ∃x : α, 1 < ∥x∥ :=
i.non_trivial
lemma exists_norm_lt_one (α : Type*) [nondiscrete_normed_field α] : ∃x : α, 0 < ∥x∥ ∧ ∥x∥ < 1 :=
begin
rcases exists_one_lt_norm α with ⟨y, hy⟩,
refine ⟨y⁻¹, _, _⟩,
{ simp only [inv_eq_zero, ne.def, norm_pos_iff],
assume h,
rw ← norm_eq_zero at h,
rw h at hy,
exact lt_irrefl _ (lt_trans zero_lt_one hy) },
{ simp [inv_lt_one hy] }
end
lemma exists_lt_norm (α : Type*) [nondiscrete_normed_field α]
(r : ℝ) : ∃ x : α, r < ∥x∥ :=
let ⟨w, hw⟩ := exists_one_lt_norm α in
let ⟨n, hn⟩ := pow_unbounded_of_one_lt r hw in
⟨w^n, by rwa norm_pow⟩
lemma exists_norm_lt (α : Type*) [nondiscrete_normed_field α]
{r : ℝ} (hr : 0 < r) : ∃ x : α, 0 < ∥x∥ ∧ ∥x∥ < r :=
let ⟨w, hw⟩ := exists_one_lt_norm α in
let ⟨n, hle, hlt⟩ := exists_int_pow_near' hr hw in
⟨w^n, by { rw norm_fpow; exact fpow_pos_of_pos (lt_trans zero_lt_one hw) _},
by rwa norm_fpow⟩
lemma punctured_nhds_ne_bot {α : Type*} [nondiscrete_normed_field α] (x : α) :
nhds_within x (-{x}) ≠ ⊥ :=
begin
rw [← mem_closure_iff_nhds_within_ne_bot, metric.mem_closure_iff],
rintros ε ε0,
rcases normed_field.exists_norm_lt α ε0 with ⟨b, hb0, hbε⟩,
refine ⟨x + b, mt (set.mem_singleton_iff.trans add_right_eq_self).1 $ norm_pos_iff.1 hb0, _⟩,
rwa [dist_comm, dist_eq_norm, add_sub_cancel'],
end
lemma tendsto_inv [normed_field α] {r : α} (r0 : r ≠ 0) : tendsto (λq, q⁻¹) (𝓝 r) (𝓝 r⁻¹) :=
begin
refine (nhds_basis_closed_ball.tendsto_iff nhds_basis_closed_ball).2 (λε εpos, _),
let δ := min (ε/2 * ∥r∥^2) (∥r∥/2),
have norm_r_pos : 0 < ∥r∥ := norm_pos_iff.mpr r0,
have A : 0 < ε / 2 * ∥r∥ ^ 2 := mul_pos (half_pos εpos) (pow_pos norm_r_pos 2),
have δpos : 0 < δ, by simp [half_pos norm_r_pos, A],
refine ⟨δ, δpos, λ x hx, _⟩,
have rx : ∥r∥/2 ≤ ∥x∥ := calc
∥r∥/2 = ∥r∥ - ∥r∥/2 : by ring
... ≤ ∥r∥ - ∥r - x∥ :
begin
apply sub_le_sub (le_refl _),
rw [← dist_eq_norm, dist_comm],
exact le_trans hx (min_le_right _ _)
end
... ≤ ∥r - (r - x)∥ : norm_sub_norm_le r (r - x)
... = ∥x∥ : by simp [sub_sub_cancel],
have norm_x_pos : 0 < ∥x∥ := lt_of_lt_of_le (half_pos norm_r_pos) rx,
have : x⁻¹ - r⁻¹ = (r - x) * x⁻¹ * r⁻¹,
by rw [sub_mul, sub_mul, mul_inv_cancel (norm_pos_iff.mp norm_x_pos), one_mul, mul_comm,
← mul_assoc, inv_mul_cancel r0, one_mul],
calc dist x⁻¹ r⁻¹ = ∥x⁻¹ - r⁻¹∥ : dist_eq_norm _ _
... ≤ ∥r-x∥ * ∥x∥⁻¹ * ∥r∥⁻¹ : by rw [this, norm_mul, norm_mul, norm_inv, norm_inv]
... ≤ (ε/2 * ∥r∥^2) * (2 * ∥r∥⁻¹) * (∥r∥⁻¹) : begin
apply_rules [mul_le_mul, inv_nonneg.2, le_of_lt A, norm_nonneg, inv_nonneg.2, mul_nonneg,
(inv_le_inv norm_x_pos norm_r_pos).2, le_refl],
show ∥r - x∥ ≤ ε / 2 * ∥r∥ ^ 2,
by { rw [← dist_eq_norm, dist_comm], exact le_trans hx (min_le_left _ _) },
show ∥x∥⁻¹ ≤ 2 * ∥r∥⁻¹,
{ convert (inv_le_inv norm_x_pos (half_pos norm_r_pos)).2 rx,
rw [inv_div, div_eq_inv_mul, mul_comm] },
show (0 : ℝ) ≤ 2, by norm_num
end
... = ε * (∥r∥ * ∥r∥⁻¹)^2 : by { generalize : ∥r∥⁻¹ = u, ring }
... = ε : by { rw [mul_inv_cancel (ne.symm (ne_of_lt norm_r_pos))], simp }
end
lemma continuous_on_inv [normed_field α] : continuous_on (λ(x:α), x⁻¹) {x | x ≠ 0} :=
begin
assume x hx,
apply continuous_at.continuous_within_at,
exact (tendsto_inv hx)
end
instance : normed_field ℝ :=
{ norm := λ x, abs x,
dist_eq := assume x y, rfl,
norm_mul' := abs_mul }
instance : nondiscrete_normed_field ℝ :=
{ non_trivial := ⟨2, by { unfold norm, rw abs_of_nonneg; norm_num }⟩ }
end normed_field
/-- If a function converges to a nonzero value, its inverse converges to the inverse of this value.
We use the name `tendsto.inv'` as `tendsto.inv` is already used in multiplicative topological
groups. -/
lemma filter.tendsto.inv' [normed_field α] {l : filter β} {f : β → α} {y : α}
(hy : y ≠ 0) (h : tendsto f l (𝓝 y)) :
tendsto (λx, (f x)⁻¹) l (𝓝 y⁻¹) :=
(normed_field.tendsto_inv hy).comp h
lemma filter.tendsto.div [normed_field α] {l : filter β} {f g : β → α} {x y : α}
(hf : tendsto f l (𝓝 x)) (hg : tendsto g l (𝓝 y)) (hy : y ≠ 0) :
tendsto (λa, f a / g a) l (𝓝 (x / y)) :=
hf.mul (hg.inv' hy)
lemma filter.tendsto.div_const [normed_field α] {l : filter β} {f : β → α} {x y : α}
(hf : tendsto f l (𝓝 x)) : tendsto (λa, f a / y) l (𝓝 (x / y)) :=
by { simp only [div_eq_inv_mul], exact tendsto_const_nhds.mul hf }
/-- Continuity at a point of the result of dividing two functions
continuous at that point, where the denominator is nonzero. -/
lemma continuous_at.div [topological_space α] [normed_field β] {f : α → β} {g : α → β} {x : α}
(hf : continuous_at f x) (hg : continuous_at g x) (hnz : g x ≠ 0) :
continuous_at (λ x, f x / g x) x :=
hf.div hg hnz
namespace real
lemma norm_eq_abs (r : ℝ) : ∥r∥ = abs r := rfl
@[simp] lemma norm_coe_nat (n : ℕ) : ∥(n : ℝ)∥ = n := abs_of_nonneg n.cast_nonneg
@[simp] lemma nnnorm_coe_nat (n : ℕ) : nnnorm (n : ℝ) = n := nnreal.eq $ by simp
@[simp] lemma norm_two : ∥(2:ℝ)∥ = 2 := abs_of_pos (@two_pos ℝ _)
@[simp] lemma nnnorm_two : nnnorm (2:ℝ) = 2 := nnreal.eq $ by simp
end real
@[simp] lemma norm_norm [normed_group α] (x : α) : ∥∥x∥∥ = ∥x∥ :=
by rw [real.norm_eq_abs, abs_of_nonneg (norm_nonneg _)]
@[simp] lemma nnnorm_norm [normed_group α] (a : α) : nnnorm ∥a∥ = nnnorm a :=
by simp only [nnnorm, norm_norm]
instance : normed_ring ℤ :=
{ norm := λ n, ∥(n : ℝ)∥,
norm_mul := λ m n, le_of_eq $ by simp only [norm, int.cast_mul, abs_mul],
dist_eq := λ m n, by simp only [int.dist_eq, norm, int.cast_sub] }
@[norm_cast] lemma int.norm_cast_real (m : ℤ) : ∥(m : ℝ)∥ = ∥m∥ := rfl
instance : normed_field ℚ :=
{ norm := λ r, ∥(r : ℝ)∥,
norm_mul' := λ r₁ r₂, by simp only [norm, rat.cast_mul, abs_mul],
dist_eq := λ r₁ r₂, by simp only [rat.dist_eq, norm, rat.cast_sub] }
instance : nondiscrete_normed_field ℚ :=
{ non_trivial := ⟨2, by { unfold norm, rw abs_of_nonneg; norm_num }⟩ }
@[norm_cast, simp] lemma rat.norm_cast_real (r : ℚ) : ∥(r : ℝ)∥ = ∥r∥ := rfl
@[norm_cast, simp] lemma int.norm_cast_rat (m : ℤ) : ∥(m : ℚ)∥ = ∥m∥ :=
by rw [← rat.norm_cast_real, ← int.norm_cast_real]; congr' 1; norm_cast
section normed_space
section prio
set_option default_priority 920 -- see Note [default priority]. Here, we set a rather high priority,
-- to take precedence over `semiring.to_semimodule` as this leads to instance paths with better
-- unification properties.
-- see Note[vector space definition] for why we extend `semimodule`.
/-- A normed space over a normed field is a vector space endowed with a norm which satisfies the
equality `∥c • x∥ = ∥c∥ ∥x∥`. We require only `∥c • x∥ ≤ ∥c∥ ∥x∥` in the definition, then prove
`∥c • x∥ = ∥c∥ ∥x∥` in `norm_smul`. -/
class normed_space (α : Type*) (β : Type*) [normed_field α] [normed_group β]
extends semimodule α β :=
(norm_smul_le : ∀ (a:α) (b:β), ∥a • b∥ ≤ ∥a∥ * ∥b∥)
end prio
variables [normed_field α] [normed_group β]
instance normed_field.to_normed_space : normed_space α α :=
{ norm_smul_le := λ a b, le_of_eq (normed_field.norm_mul a b) }
lemma norm_smul [normed_space α β] (s : α) (x : β) : ∥s • x∥ = ∥s∥ * ∥x∥ :=
begin
classical,
by_cases h : s = 0,
{ simp [h] },
{ refine le_antisymm (normed_space.norm_smul_le s x) _,
calc ∥s∥ * ∥x∥ = ∥s∥ * ∥s⁻¹ • s • x∥ : by rw [inv_smul_smul' h]
... ≤ ∥s∥ * (∥s⁻¹∥ * ∥s • x∥) : _
... = ∥s • x∥ : _,
exact mul_le_mul_of_nonneg_left (normed_space.norm_smul_le _ _) (norm_nonneg _),
rw [normed_field.norm_inv, ← mul_assoc, mul_inv_cancel, one_mul],
rwa [ne.def, norm_eq_zero] }
end
lemma dist_smul [normed_space α β] (s : α) (x y : β) : dist (s • x) (s • y) = ∥s∥ * dist x y :=
by simp only [dist_eq_norm, (norm_smul _ _).symm, smul_sub]
lemma nnnorm_smul [normed_space α β] (s : α) (x : β) : nnnorm (s • x) = nnnorm s * nnnorm x :=
nnreal.eq $ norm_smul s x
lemma nndist_smul [normed_space α β] (s : α) (x y : β) :
nndist (s • x) (s • y) = nnnorm s * nndist x y :=
nnreal.eq $ dist_smul s x y
variables {E : Type*} {F : Type*}
[normed_group E] [normed_space α E] [normed_group F] [normed_space α F]
@[priority 100] -- see Note [lower instance priority]
instance normed_space.topological_vector_space : topological_vector_space α E :=
begin
refine { continuous_smul := continuous_iff_continuous_at.2 $
λ p, tendsto_iff_norm_tendsto_zero.2 _ },
refine squeeze_zero (λ _, norm_nonneg _) _ _,
{ exact λ q, ∥q.1 - p.1∥ * ∥q.2∥ + ∥p.1∥ * ∥q.2 - p.2∥ },
{ intro q,
rw [← sub_add_sub_cancel, ← norm_smul, ← norm_smul, smul_sub, sub_smul],
exact norm_add_le _ _ },
{ conv { congr, skip, skip, congr, rw [← zero_add (0:ℝ)], congr,
rw [← zero_mul ∥p.2∥], skip, rw [← mul_zero ∥p.1∥] },
exact ((tendsto_iff_norm_tendsto_zero.1 (continuous_fst.tendsto p)).mul
(continuous_snd.tendsto p).norm).add
(tendsto_const_nhds.mul (tendsto_iff_norm_tendsto_zero.1 (continuous_snd.tendsto p))) }
end
/-- In a normed space over a nondiscrete normed field, only `⊤` submodule has a nonempty interior.
See also `submodule.eq_top_of_nonempty_interior'` for a `topological_module` version. -/
lemma submodule.eq_top_of_nonempty_interior {α E : Type*} [nondiscrete_normed_field α]
[normed_group E] [normed_space α E] (s : submodule α E) (hs : (interior (s:set E)).nonempty) :
s = ⊤ :=
begin
refine s.eq_top_of_nonempty_interior' _ hs,
simp only [is_unit_iff_ne_zero, @ne.def α, set.mem_singleton_iff.symm],
exact normed_field.punctured_nhds_ne_bot _
end
theorem closure_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
closure (ball x r) = closed_ball x r :=
begin
refine set.subset.antisymm closure_ball_subset_closed_ball (λ y hy, _),
have : continuous_within_at (λ c : ℝ, c • (y - x) + x) (set.Ico 0 1) 1 :=
((continuous_id.smul continuous_const).add continuous_const).continuous_within_at,
convert this.mem_closure _ _,
{ rw [one_smul, sub_add_cancel] },
{ simp [closure_Ico (@zero_lt_one ℝ _), zero_le_one] },
{ rintros c ⟨hc0, hc1⟩,
rw [set.mem_preimage, mem_ball, dist_eq_norm, add_sub_cancel, norm_smul, real.norm_eq_abs,
abs_of_nonneg hc0, mul_comm, ← mul_one r],
rw [mem_closed_ball, dist_eq_norm] at hy,
apply mul_lt_mul'; assumption }
end
theorem frontier_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
frontier (ball x r) = sphere x r :=
begin
rw [frontier, closure_ball x hr, interior_eq_of_open is_open_ball],
ext x, exact (@eq_iff_le_not_lt ℝ _ _ _).symm
end
theorem interior_closed_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
interior (closed_ball x r) = ball x r :=
begin
refine set.subset.antisymm _ ball_subset_interior_closed_ball,
intros y hy,
rcases le_iff_lt_or_eq.1 (mem_closed_ball.1 $ interior_subset hy) with hr|rfl, { exact hr },
set f : ℝ → E := λ c : ℝ, c • (y - x) + x,
suffices : f ⁻¹' closed_ball x (dist y x) ⊆ set.Icc (-1) 1,
{ have hfc : continuous f := (continuous_id.smul continuous_const).add continuous_const,
have hf1 : (1:ℝ) ∈ f ⁻¹' (interior (closed_ball x $ dist y x)), by simpa [f],
have h1 : (1:ℝ) ∈ interior (set.Icc (-1:ℝ) 1) :=
interior_mono this (preimage_interior_subset_interior_preimage hfc hf1),
contrapose h1,
simp },
intros c hc,
rw [set.mem_Icc, ← abs_le, ← real.norm_eq_abs, ← mul_le_mul_right hr],
simpa [f, dist_eq_norm, norm_smul] using hc
end
theorem interior_closed_ball' [normed_space ℝ E] (x : E) (r : ℝ) (hE : ∃ z : E, z ≠ 0) :
interior (closed_ball x r) = ball x r :=
begin
rcases lt_trichotomy r 0 with hr|rfl|hr,
{ simp [closed_ball_eq_empty_iff_neg.2 hr, ball_eq_empty_iff_nonpos.2 (le_of_lt hr)] },
{ suffices : x ∉ interior {x},
{ rw [ball_zero, closed_ball_zero, ← set.subset_empty_iff],
intros y hy,
obtain rfl : y = x := set.mem_singleton_iff.1 (interior_subset hy),
exact this hy },
rw [← set.mem_compl_iff, ← closure_compl],
rcases hE with ⟨z, hz⟩,
suffices : (λ c : ℝ, x + c • z) 0 ∈ closure (-{x} : set E),
by simpa only [zero_smul, add_zero] using this,
have : (0:ℝ) ∈ closure (set.Ioi (0:ℝ)), by simp [closure_Ioi],
refine (continuous_const.add (continuous_id.smul
continuous_const)).continuous_within_at.mem_closure this _,
intros c hc,
simp [smul_eq_zero, hz, ne_of_gt hc] },
{ exact interior_closed_ball x hr }
end
theorem frontier_closed_ball [normed_space ℝ E] (x : E) {r : ℝ} (hr : 0 < r) :
frontier (closed_ball x r) = sphere x r :=
by rw [frontier, closure_eq_of_is_closed is_closed_ball, interior_closed_ball x hr,
closed_ball_diff_ball]
theorem frontier_closed_ball' [normed_space ℝ E] (x : E) (r : ℝ) (hE : ∃ z : E, z ≠ 0) :
frontier (closed_ball x r) = sphere x r :=
by rw [frontier, closure_eq_of_is_closed is_closed_ball, interior_closed_ball' x r hE,
closed_ball_diff_ball]
open normed_field
/-- If there is a scalar `c` with `∥c∥>1`, then any element can be moved by scalar multiplication to
any shell of width `∥c∥`. Also recap information on the norm of the rescaling element that shows
up in applications. -/
lemma rescale_to_shell {c : α} (hc : 1 < ∥c∥) {ε : ℝ} (εpos : 0 < ε) {x : E} (hx : x ≠ 0) :
∃d:α, d ≠ 0 ∧ ∥d • x∥ ≤ ε ∧ (ε/∥c∥ ≤ ∥d • x∥) ∧ (∥d∥⁻¹ ≤ ε⁻¹ * ∥c∥ * ∥x∥) :=
begin
have xεpos : 0 < ∥x∥/ε := div_pos_of_pos_of_pos (norm_pos_iff.2 hx) εpos,
rcases exists_int_pow_near xεpos hc with ⟨n, hn⟩,
have cpos : 0 < ∥c∥ := lt_trans (zero_lt_one : (0 :ℝ) < 1) hc,
have cnpos : 0 < ∥c^(n+1)∥ := by { rw norm_fpow, exact lt_trans xεpos hn.2 },
refine ⟨(c^(n+1))⁻¹, _, _, _, _⟩,
show (c ^ (n + 1))⁻¹ ≠ 0,
by rwa [ne.def, inv_eq_zero, ← ne.def, ← norm_pos_iff],
show ∥(c ^ (n + 1))⁻¹ • x∥ ≤ ε,
{ rw [norm_smul, norm_inv, ← div_eq_inv_mul, div_le_iff cnpos, mul_comm, norm_fpow],
exact (div_le_iff εpos).1 (le_of_lt (hn.2)) },
show ε / ∥c∥ ≤ ∥(c ^ (n + 1))⁻¹ • x∥,
{ rw [div_le_iff cpos, norm_smul, norm_inv, norm_fpow, fpow_add (ne_of_gt cpos),
fpow_one, mul_inv', mul_comm, ← mul_assoc, ← mul_assoc, mul_inv_cancel (ne_of_gt cpos),
one_mul, ← div_eq_inv_mul, le_div_iff (fpow_pos_of_pos cpos _), mul_comm],
exact (le_div_iff εpos).1 hn.1 },
show ∥(c ^ (n + 1))⁻¹∥⁻¹ ≤ ε⁻¹ * ∥c∥ * ∥x∥,
{ have : ε⁻¹ * ∥c∥ * ∥x∥ = ε⁻¹ * ∥x∥ * ∥c∥, by ring,
rw [norm_inv, inv_inv', norm_fpow, fpow_add (ne_of_gt cpos), fpow_one, this, ← div_eq_inv_mul],
exact mul_le_mul_of_nonneg_right hn.1 (norm_nonneg _) }
end
/-- The product of two normed spaces is a normed space, with the sup norm. -/
instance : normed_space α (E × F) :=
{ norm_smul_le := λ s x, le_of_eq $ by simp [prod.norm_def, norm_smul, mul_max_of_nonneg],
-- TODO: without the next two lines Lean unfolds `≤` to `real.le`
add_smul := λ r x y, prod.ext (add_smul _ _ _) (add_smul _ _ _),
smul_add := λ r x y, prod.ext (smul_add _ _ _) (smul_add _ _ _),
..prod.normed_group,
..prod.semimodule }
/-- The product of finitely many normed spaces is a normed space, with the sup norm. -/
instance pi.normed_space {E : ι → Type*} [fintype ι] [∀i, normed_group (E i)]
[∀i, normed_space α (E i)] : normed_space α (Πi, E i) :=
{ norm_smul_le := λ a f, le_of_eq $
show (↑(finset.sup finset.univ (λ (b : ι), nnnorm (a • f b))) : ℝ) =
nnnorm a * ↑(finset.sup finset.univ (λ (b : ι), nnnorm (f b))),
by simp only [(nnreal.coe_mul _ _).symm, nnreal.mul_finset_sup, nnnorm_smul] }
/-- A subspace of a normed space is also a normed space, with the restriction of the norm. -/
instance submodule.normed_space {𝕜 : Type*} [normed_field 𝕜]
{E : Type*} [normed_group E] [normed_space 𝕜 E] (s : submodule 𝕜 E) : normed_space 𝕜 s :=
{ norm_smul_le := λc x, le_of_eq $ norm_smul c (x : E) }
end normed_space
section normed_algebra
section prio
set_option default_priority 100 -- see Note [default priority]
/-- A normed algebra `𝕜'` over `𝕜` is an algebra endowed with a norm for which the embedding of
`𝕜` in `𝕜'` is an isometry. -/
class normed_algebra (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
extends algebra 𝕜 𝕜' :=
(norm_algebra_map_eq : ∀x:𝕜, ∥algebra_map 𝕜 𝕜' x∥ = ∥x∥)
end prio
@[simp] lemma norm_algebra_map_eq {𝕜 : Type*} (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
[h : normed_algebra 𝕜 𝕜'] (x : 𝕜) : ∥algebra_map 𝕜 𝕜' x∥ = ∥x∥ :=
normed_algebra.norm_algebra_map_eq _
@[priority 100]
instance to_normed_space (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_ring 𝕜']
[h : normed_algebra 𝕜 𝕜'] : normed_space 𝕜 𝕜' :=
{ norm_smul_le := λ s x, calc
∥s • x∥ = ∥((algebra_map 𝕜 𝕜') s) * x∥ : by { rw h.smul_def', refl }
... ≤ ∥algebra_map 𝕜 𝕜' s∥ * ∥x∥ : normed_ring.norm_mul _ _
... = ∥s∥ * ∥x∥ : by rw norm_algebra_map_eq,
..h }
end normed_algebra
section restrict_scalars
variables (𝕜 : Type*) (𝕜' : Type*) [normed_field 𝕜] [normed_field 𝕜'] [normed_algebra 𝕜 𝕜']
{E : Type*} [normed_group E] [normed_space 𝕜' E]
/-- `𝕜`-normed space structure induced by a `𝕜'`-normed space structure when `𝕜'` is a
normed algebra over `𝕜`. Not registered as an instance as `𝕜'` can not be inferred. -/
-- We could add a type synonym equipped with this as an instance,
-- as we've done for `module.restrict_scalars`.
def normed_space.restrict_scalars : normed_space 𝕜 E :=
{ norm_smul_le := λc x, le_of_eq $ begin
change ∥(algebra_map 𝕜 𝕜' c) • x∥ = ∥c∥ * ∥x∥,
simp [norm_smul]
end,
..module.restrict_scalars' 𝕜 𝕜' E }
end restrict_scalars
section summable
open_locale classical
open finset filter
variables [normed_group α]
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma cauchy_seq_finset_iff_vanishing_norm {f : ι → α} :
cauchy_seq (λ s : finset ι, s.sum f) ↔ ∀ε > 0, ∃s:finset ι, ∀t, disjoint t s → ∥ t.sum f ∥ < ε :=
begin
simp only [cauchy_seq_finset_iff_vanishing, metric.mem_nhds_iff, exists_imp_distrib],
split,
{ assume h ε hε, refine h {x | ∥x∥ < ε} ε hε _, rw [ball_0_eq ε] },
{ assume h s ε hε hs,
rcases h ε hε with ⟨t, ht⟩,
refine ⟨t, assume u hu, hs _⟩,
rw [ball_0_eq],
exact ht u hu }
end
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma summable_iff_vanishing_norm [complete_space α] {f : ι → α} :
summable f ↔ ∀ε > 0, ∃s:finset ι, ∀t, disjoint t s → ∥ t.sum f ∥ < ε :=
by rw [summable_iff_cauchy_seq_finset, cauchy_seq_finset_iff_vanishing_norm]
lemma cauchy_seq_finset_of_norm_bounded {f : ι → α} (g : ι → ℝ) (hg : summable g)
(h : ∀i, ∥f i∥ ≤ g i) : cauchy_seq (λ s : finset ι, s.sum f) :=
cauchy_seq_finset_iff_vanishing_norm.2 $ assume ε hε,
let ⟨s, hs⟩ := summable_iff_vanishing_norm.1 hg ε hε in
⟨s, assume t ht,
have ∥t.sum g∥ < ε := hs t ht,
have nn : 0 ≤ t.sum g := finset.sum_nonneg (assume a _, le_trans (norm_nonneg _) (h a)),
lt_of_le_of_lt (norm_sum_le_of_le t (λ i _, h i)) $
by rwa [real.norm_eq_abs, abs_of_nonneg nn] at this⟩
lemma cauchy_seq_finset_of_summable_norm {f : ι → α} (hf : summable (λa, ∥f a∥)) :
cauchy_seq (λ s : finset ι, s.sum f) :=
cauchy_seq_finset_of_norm_bounded _ hf (assume i, le_refl _)
/-- If a function `f` is summable in norm, and along some sequence of finsets exhausting the space
its sum is converging to a limit `a`, then this holds along all finsets, i.e., `f` is summable
with sum `a`. -/
lemma has_sum_of_subseq_of_summable {f : ι → α} (hf : summable (λa, ∥f a∥))
{s : β → finset ι} {p : filter β} (hp : p ≠ ⊥)
(hs : tendsto s p at_top) {a : α} (ha : tendsto (λ b, ∑ i in s b, f i) p (𝓝 a)) :
has_sum f a :=
tendsto_nhds_of_cauchy_seq_of_subseq (cauchy_seq_finset_of_summable_norm hf) hp hs ha
/-- If `∑' i, ∥f i∥` is summable, then `∥(∑' i, f i)∥ ≤ (∑' i, ∥f i∥)`. Note that we do not assume
that `∑' i, f i` is summable, and it might not be the case if `α` is not a complete space. -/
lemma norm_tsum_le_tsum_norm {f : ι → α} (hf : summable (λi, ∥f i∥)) :
∥(∑'i, f i)∥ ≤ (∑' i, ∥f i∥) :=
begin
by_cases h : summable f,
{ have h₁ : tendsto (λs:finset ι, ∥s.sum f∥) at_top (𝓝 ∥(∑' i, f i)∥) :=
(continuous_norm.tendsto _).comp h.has_sum,
have h₂ : tendsto (λs:finset ι, s.sum (λi, ∥f i∥)) at_top (𝓝 (∑' i, ∥f i∥)) :=
hf.has_sum,
exact le_of_tendsto_of_tendsto' at_top_ne_bot h₁ h₂ (assume s, norm_sum_le _ _) },
{ rw tsum_eq_zero_of_not_summable h,
simp [tsum_nonneg] }
end
lemma has_sum_iff_tendsto_nat_of_summable_norm {f : ℕ → α} {a : α} (hf : summable (λi, ∥f i∥)) :
has_sum f a ↔ tendsto (λn:ℕ, ∑ i in range n, f i) at_top (𝓝 a) :=
⟨λ h, h.tendsto_sum_nat,
λ h, has_sum_of_subseq_of_summable hf at_top_ne_bot tendsto_finset_range h⟩
variable [complete_space α]
lemma summable_of_norm_bounded {f : ι → α} (g : ι → ℝ) (hg : summable g) (h : ∀i, ∥f i∥ ≤ g i) :
summable f :=
by { rw summable_iff_cauchy_seq_finset, exact cauchy_seq_finset_of_norm_bounded g hg h }
lemma summable_of_nnnorm_bounded {f : ι → α} (g : ι → nnreal) (hg : summable g)
(h : ∀i, nnnorm (f i) ≤ g i) : summable f :=
summable_of_norm_bounded (λ i, (g i : ℝ)) (nnreal.summable_coe.2 hg) (λ i, by exact_mod_cast h i)
lemma summable_of_summable_norm {f : ι → α} (hf : summable (λa, ∥f a∥)) : summable f :=
summable_of_norm_bounded _ hf (assume i, le_refl _)
lemma summable_of_summable_nnnorm {f : ι → α} (hf : summable (λa, nnnorm (f a))) : summable f :=
summable_of_nnnorm_bounded _ hf (assume i, le_refl _)
end summable
|
7e6935304cb4c6dc4c7245d2274aa545b7c69a07 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/algebraic_geometry/open_immersion.lean | dc1263efad0f6adc1ee48ed1645308ba07e7d4b1 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 80,217 | lean | /-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import algebraic_geometry.presheafed_space.has_colimits
import category_theory.limits.shapes.binary_products
import category_theory.limits.preserves.shapes.pullbacks
import topology.sheaves.functors
import algebraic_geometry.Scheme
import category_theory.limits.shapes.strict_initial
import algebra.category.Ring.instances
/-!
# Open immersions of structured spaces
We say that a morphism of presheafed spaces `f : X ⟶ Y` is an open immersions if
the underlying map of spaces is an open embedding `f : X ⟶ U ⊆ Y`,
and the sheaf map `Y(V) ⟶ f _* X(V)` is an iso for each `V ⊆ U`.
Abbreviations are also provided for `SheafedSpace`, `LocallyRingedSpace` and `Scheme`.
## Main definitions
* `algebraic_geometry.PresheafedSpace.is_open_immersion`: the `Prop`-valued typeclass asserting
that a PresheafedSpace hom `f` is an open_immersion.
* `algebraic_geometry.is_open_immersion`: the `Prop`-valued typeclass asserting
that a Scheme morphism `f` is an open_immersion.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict`: The source of an
open immersion is isomorphic to the restriction of the target onto the image.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.lift`: Any morphism whose range is
contained in an open immersion factors though the open immersion.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.to_SheafedSpace`: If `f : X ⟶ Y` is an
open immersion of presheafed spaces, and `Y` is a sheafed space, then `X` is also a sheafed
space. The morphism as morphisms of sheafed spaces is given by `to_SheafedSpace_hom`.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.to_LocallyRingedSpace`: If `f : X ⟶ Y` is
an open immersion of presheafed spaces, and `Y` is a locally ringed space, then `X` is also a
locally ringed space. The morphism as morphisms of locally ringed spaces is given by
`to_LocallyRingedSpace_hom`.
## Main results
* `algebraic_geometry.PresheafedSpace.is_open_immersion.comp`: The composition of two open
immersions is an open immersion.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.of_iso`: An iso is an open immersion.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.to_iso`:
A surjective open immersion is an isomorphism.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.stalk_iso`: An open immersion induces
an isomorphism on stalks.
* `algebraic_geometry.PresheafedSpace.is_open_immersion.has_pullback_of_left`: If `f` is an open
immersion, then the pullback `(f, g)` exists (and the forgetful functor to `Top` preserves it).
* `algebraic_geometry.PresheafedSpace.is_open_immersion.pullback_snd_of_left`: Open immersions
are stable under pullbacks.
* `algebraic_geometry.SheafedSpace.is_open_immersion.of_stalk_iso` An (topological) open embedding
between two sheafed spaces is an open immersion if all the stalk maps are isomorphisms.
-/
open topological_space category_theory opposite
open category_theory.limits
namespace algebraic_geometry
universes v v₁ v₂ u
variables {C : Type u} [category.{v} C]
/--
An open immersion of PresheafedSpaces is an open embedding `f : X ⟶ U ⊆ Y` of the underlying
spaces, such that the sheaf map `Y(V) ⟶ f _* X(V)` is an iso for each `V ⊆ U`.
-/
class PresheafedSpace.is_open_immersion {X Y : PresheafedSpace.{v} C} (f : X ⟶ Y) : Prop :=
(base_open : open_embedding f.base)
(c_iso : ∀ U : opens X, is_iso (f.c.app (op (base_open.is_open_map.functor.obj U))))
/--
A morphism of SheafedSpaces is an open immersion if it is an open immersion as a morphism
of PresheafedSpaces
-/
abbreviation SheafedSpace.is_open_immersion
[has_products.{v} C] {X Y : SheafedSpace.{v} C} (f : X ⟶ Y) : Prop :=
PresheafedSpace.is_open_immersion f
/--
A morphism of LocallyRingedSpaces is an open immersion if it is an open immersion as a morphism
of SheafedSpaces
-/
abbreviation LocallyRingedSpace.is_open_immersion {X Y : LocallyRingedSpace} (f : X ⟶ Y) : Prop :=
SheafedSpace.is_open_immersion f.1
/--
A morphism of Schemes is an open immersion if it is an open immersion as a morphism
of LocallyRingedSpaces
-/
abbreviation is_open_immersion {X Y : Scheme} (f : X ⟶ Y) : Prop :=
LocallyRingedSpace.is_open_immersion f
namespace PresheafedSpace.is_open_immersion
open PresheafedSpace
local notation `is_open_immersion` := PresheafedSpace.is_open_immersion
attribute [instance] is_open_immersion.c_iso
section
variables {X Y : PresheafedSpace.{v} C} {f : X ⟶ Y} (H : is_open_immersion f)
/-- The functor `opens X ⥤ opens Y` associated with an open immersion `f : X ⟶ Y`. -/
abbreviation open_functor := H.base_open.is_open_map.functor
/-- An open immersion `f : X ⟶ Y` induces an isomorphism `X ≅ Y|_{f(X)}`. -/
@[simps] noncomputable
def iso_restrict : X ≅ Y.restrict H.base_open :=
PresheafedSpace.iso_of_components (iso.refl _)
begin
symmetry,
fapply nat_iso.of_components,
intro U,
refine as_iso (f.c.app (op (H.open_functor.obj (unop U)))) ≪≫ X.presheaf.map_iso (eq_to_iso _),
{ induction U using opposite.rec,
cases U,
dsimp only [is_open_map.functor, functor.op, opens.map],
congr' 2,
erw set.preimage_image_eq _ H.base_open.inj,
refl },
{ intros U V i,
simp only [category_theory.eq_to_iso.hom, Top.presheaf.pushforward_obj_map, category.assoc,
functor.op_map, iso.trans_hom, as_iso_hom, functor.map_iso_hom, ←X.presheaf.map_comp],
erw [f.c.naturality_assoc, ←X.presheaf.map_comp],
congr }
end
@[simp] lemma iso_restrict_hom_of_restrict : H.iso_restrict.hom ≫ Y.of_restrict _ = f :=
begin
ext,
{ simp only [comp_c_app, iso_restrict_hom_c_app, nat_trans.comp_app,
eq_to_hom_refl, of_restrict_c_app, category.assoc, whisker_right_id'],
erw [category.comp_id, f.c.naturality_assoc, ←X.presheaf.map_comp],
transitivity f.c.app x ≫ X.presheaf.map (𝟙 _),
{ congr },
{ erw [X.presheaf.map_id, category.comp_id] } },
{ simp }
end
@[simp] lemma iso_restrict_inv_of_restrict : H.iso_restrict.inv ≫ f = Y.of_restrict _ :=
by { rw iso.inv_comp_eq, simp }
instance mono [H : is_open_immersion f] : mono f :=
by { rw ← H.iso_restrict_hom_of_restrict, apply mono_comp }
/-- The composition of two open immersions is an open immersion. -/
instance comp {Z : PresheafedSpace C} (f : X ⟶ Y) [hf : is_open_immersion f] (g : Y ⟶ Z)
[hg : is_open_immersion g] :
is_open_immersion (f ≫ g) :=
{ base_open := hg.base_open.comp hf.base_open,
c_iso := λ U,
begin
generalize_proofs h,
dsimp only [algebraic_geometry.PresheafedSpace.comp_c_app, unop_op, functor.op, comp_base,
Top.presheaf.pushforward_obj_obj, opens.map_comp_obj],
apply_with is_iso.comp_is_iso { instances := ff },
swap,
{ have : (opens.map g.base).obj (h.functor.obj U) = hf.open_functor.obj U,
{ dsimp only [opens.map, is_open_map.functor, PresheafedSpace.comp_base],
congr' 1,
rw [coe_comp, ←set.image_image, set.preimage_image_eq _ hg.base_open.inj] },
rw this,
apply_instance },
{ have : h.functor.obj U = hg.open_functor.obj (hf.open_functor.obj U),
{ dsimp only [is_open_map.functor],
congr' 1,
rw [comp_base, coe_comp, ←set.image_image],
congr },
rw this,
apply_instance }
end }
/-- For an open immersion `f : X ⟶ Y` and an open set `U ⊆ X`, we have the map `X(U) ⟶ Y(U)`. -/
noncomputable
def inv_app (U : opens X) : X.presheaf.obj (op U) ⟶ Y.presheaf.obj (op (H.open_functor.obj U)) :=
X.presheaf.map (eq_to_hom (by simp [opens.map, set.preimage_image_eq _ H.base_open.inj])) ≫
inv (f.c.app (op (H.open_functor.obj U)))
@[simp, reassoc] lemma inv_naturality {U V : (opens X)ᵒᵖ} (i : U ⟶ V) :
X.presheaf.map i ≫ H.inv_app (unop V) = H.inv_app (unop U) ≫
Y.presheaf.map (H.open_functor.op.map i) :=
begin
simp only [inv_app, ←category.assoc],
rw [is_iso.comp_inv_eq],
simp only [category.assoc, f.c.naturality, is_iso.inv_hom_id_assoc, ← X.presheaf.map_comp],
erw ← X.presheaf.map_comp,
congr
end
instance (U : opens X) : is_iso (H.inv_app U) := by { delta inv_app, apply_instance }
lemma inv_inv_app (U : opens X) :
inv (H.inv_app U) = f.c.app (op (H.open_functor.obj U)) ≫
X.presheaf.map (eq_to_hom (by simp [opens.map, set.preimage_image_eq _ H.base_open.inj])) :=
begin
rw ← cancel_epi (H.inv_app U),
rw is_iso.hom_inv_id,
delta inv_app,
simp [← functor.map_comp]
end
@[simp, reassoc, elementwise] lemma inv_app_app (U : opens X) :
H.inv_app U ≫ f.c.app (op (H.open_functor.obj U)) =
X.presheaf.map (eq_to_hom (by simp [opens.map, set.preimage_image_eq _ H.base_open.inj])) :=
by rw [inv_app, category.assoc, is_iso.inv_hom_id, category.comp_id]
@[simp, reassoc] lemma app_inv_app (U : opens Y) :
f.c.app (op U) ≫ H.inv_app ((opens.map f.base).obj U) =
Y.presheaf.map ((hom_of_le (by exact set.image_preimage_subset f.base U)).op :
op U ⟶ op (H.open_functor.obj ((opens.map f.base).obj U))) :=
by { erw ← category.assoc, rw [is_iso.comp_inv_eq, f.c.naturality], congr }
/-- A variant of `app_inv_app` that gives an `eq_to_hom` instead of `hom_of_le`. -/
@[reassoc] lemma app_inv_app' (U : opens Y) (hU : (U : set Y) ⊆ set.range f.base) :
f.c.app (op U) ≫ H.inv_app ((opens.map f.base).obj U) =
Y.presheaf.map (eq_to_hom (by
{ apply has_le.le.antisymm,
{ exact set.image_preimage_subset f.base U.1 },
{ change U ⊆ _,
refine has_le.le.trans_eq _ (@set.image_preimage_eq_inter_range _ _ f.base U.1).symm,
exact set.subset_inter_iff.mpr ⟨λ _ h, h, hU⟩ } })).op :=
by { erw ← category.assoc, rw [is_iso.comp_inv_eq, f.c.naturality], congr }
/-- An isomorphism is an open immersion. -/
instance of_iso {X Y : PresheafedSpace.{v} C} (H : X ≅ Y) : is_open_immersion H.hom :=
{ base_open := (Top.homeo_of_iso ((forget C).map_iso H)).open_embedding,
c_iso := λ _, infer_instance }
@[priority 100]
instance of_is_iso {X Y : PresheafedSpace.{v} C} (f : X ⟶ Y) [is_iso f] : is_open_immersion f :=
algebraic_geometry.PresheafedSpace.is_open_immersion.of_iso (as_iso f)
instance of_restrict {X : Top} (Y : PresheafedSpace C) {f : X ⟶ Y.carrier}
(hf : open_embedding f) : is_open_immersion (Y.of_restrict hf) :=
{ base_open := hf,
c_iso := λ U,
begin
dsimp,
have : (opens.map f).obj (hf.is_open_map.functor.obj U) = U,
{ cases U,
dsimp only [opens.map, is_open_map.functor],
congr' 1,
rw set.preimage_image_eq _ hf.inj,
refl },
convert (show is_iso (Y.presheaf.map (𝟙 _)), from infer_instance),
{ apply subsingleton.helim,
rw this },
{ rw Y.presheaf.map_id,
apply_instance }
end }
@[elementwise, simp]
lemma of_restrict_inv_app {C : Type*} [category C] (X : PresheafedSpace C) {Y : Top}
{f : Y ⟶ Top.of X.carrier}
(h : open_embedding f) (U : opens (X.restrict h).carrier) :
(PresheafedSpace.is_open_immersion.of_restrict X h).inv_app U = 𝟙 _ :=
begin
delta PresheafedSpace.is_open_immersion.inv_app,
rw [is_iso.comp_inv_eq, category.id_comp],
change X.presheaf.map _ = X.presheaf.map _,
congr
end
/-- An open immersion is an iso if the underlying continuous map is epi. -/
lemma to_iso (f : X ⟶ Y) [h : is_open_immersion f] [h' : epi f.base] : is_iso f :=
begin
apply_with is_iso_of_components { instances := ff },
{ let : X ≃ₜ Y := (homeomorph.of_embedding _ h.base_open.to_embedding).trans
{ to_fun := subtype.val, inv_fun := λ x, ⟨x,
by { rw set.range_iff_surjective.mpr ((Top.epi_iff_surjective _).mp h'), trivial }⟩,
left_inv := λ ⟨_,_⟩, rfl, right_inv := λ _, rfl },
convert is_iso.of_iso (Top.iso_of_homeo this),
{ ext, refl } },
{ apply_with nat_iso.is_iso_of_is_iso_app { instances := ff },
intro U,
have : U = op (h.open_functor.obj ((opens.map f.base).obj (unop U))),
{ induction U using opposite.rec,
cases U,
dsimp only [functor.op, opens.map],
congr,
exact (set.image_preimage_eq _ ((Top.epi_iff_surjective _).mp h')).symm },
convert @@is_open_immersion.c_iso _ h ((opens.map f.base).obj (unop U)) }
end
instance stalk_iso [has_colimits C] [H : is_open_immersion f] (x : X) : is_iso (stalk_map f x) :=
begin
rw ← H.iso_restrict_hom_of_restrict,
rw PresheafedSpace.stalk_map.comp,
apply_instance
end
end
section pullback
noncomputable theory
variables {X Y Z : PresheafedSpace.{v} C} (f : X ⟶ Z) [hf : is_open_immersion f] (g : Y ⟶ Z)
include hf
/--
(Implementation.) The projection map when constructing the pullback along an open immersion.
-/
def pullback_cone_of_left_fst :
Y.restrict (Top.snd_open_embedding_of_left_open_embedding hf.base_open g.base) ⟶ X :=
{ base := pullback.fst,
c :=
{ app := λ U, hf.inv_app (unop U) ≫
g.c.app (op (hf.base_open.is_open_map.functor.obj (unop U))) ≫
Y.presheaf.map (eq_to_hom
(begin
simp only [is_open_map.functor, subtype.mk_eq_mk, unop_op, op_inj_iff, opens.map,
subtype.coe_mk, functor.op_obj, subtype.val_eq_coe],
apply has_le.le.antisymm,
{ rintros _ ⟨_, h₁, h₂⟩,
use (Top.pullback_iso_prod_subtype _ _).inv ⟨⟨_, _⟩, h₂⟩,
simpa using h₁ },
{ rintros _ ⟨x, h₁, rfl⟩,
exact ⟨_, h₁, concrete_category.congr_hom pullback.condition x⟩ }
end)),
naturality' :=
begin
intros U V i,
induction U using opposite.rec,
induction V using opposite.rec,
simp only [quiver.hom.unop_op, Top.presheaf.pushforward_obj_map, category.assoc,
nat_trans.naturality_assoc, functor.op_map, inv_naturality_assoc, ← Y.presheaf.map_comp],
erw ← Y.presheaf.map_comp,
congr
end } }
lemma pullback_cone_of_left_condition :
pullback_cone_of_left_fst f g ≫ f = Y.of_restrict _ ≫ g :=
begin
ext U,
{ induction U using opposite.rec,
dsimp only [comp_c_app, nat_trans.comp_app, unop_op,
whisker_right_app, pullback_cone_of_left_fst],
simp only [quiver.hom.unop_op, Top.presheaf.pushforward_obj_map, app_inv_app_assoc,
eq_to_hom_app, eq_to_hom_unop, category.assoc, nat_trans.naturality_assoc, functor.op_map],
erw [← Y.presheaf.map_comp, ← Y.presheaf.map_comp],
congr },
{ simpa using pullback.condition }
end
/--
We construct the pullback along an open immersion via restricting along the pullback of the
maps of underlying spaces (which is also an open embedding).
-/
def pullback_cone_of_left : pullback_cone f g :=
pullback_cone.mk (pullback_cone_of_left_fst f g) (Y.of_restrict _)
(pullback_cone_of_left_condition f g)
variable (s : pullback_cone f g)
/--
(Implementation.) Any cone over `cospan f g` indeed factors through the constructed cone.
-/
def pullback_cone_of_left_lift : s.X ⟶ (pullback_cone_of_left f g).X :=
{ base := pullback.lift s.fst.base s.snd.base
(congr_arg (λ x, PresheafedSpace.hom.base x) s.condition),
c :=
{ app := λ U, s.snd.c.app _ ≫ s.X.presheaf.map (eq_to_hom (begin
dsimp only [opens.map, is_open_map.functor, functor.op],
congr' 2,
let s' : pullback_cone f.base g.base := pullback_cone.mk s.fst.base s.snd.base _,
have : _ = s.snd.base := limit.lift_π s' walking_cospan.right,
conv_lhs { erw ← this, rw coe_comp, erw ← set.preimage_preimage },
erw set.preimage_image_eq _
(Top.snd_open_embedding_of_left_open_embedding hf.base_open g.base).inj,
simp,
end)),
naturality' := λ U V i,
begin
erw s.snd.c.naturality_assoc,
rw category.assoc,
erw [← s.X.presheaf.map_comp, ← s.X.presheaf.map_comp],
congr
end } }
-- this lemma is not a `simp` lemma, because it is an implementation detail
lemma pullback_cone_of_left_lift_fst :
pullback_cone_of_left_lift f g s ≫ (pullback_cone_of_left f g).fst = s.fst :=
begin
ext x,
{ induction x using opposite.rec,
change ((_ ≫ _) ≫ _ ≫ _) ≫ _ = _,
simp_rw [category.assoc],
erw ← s.X.presheaf.map_comp,
erw s.snd.c.naturality_assoc,
have := congr_app s.condition (op (hf.open_functor.obj x)),
dsimp only [comp_c_app, unop_op] at this,
rw ← is_iso.comp_inv_eq at this,
reassoc! this,
erw [← this, hf.inv_app_app_assoc, s.fst.c.naturality_assoc],
simpa [eq_to_hom_map], },
{ change pullback.lift _ _ _ ≫ pullback.fst = _,
simp }
end
-- this lemma is not a `simp` lemma, because it is an implementation detail
lemma pullback_cone_of_left_lift_snd :
pullback_cone_of_left_lift f g s ≫ (pullback_cone_of_left f g).snd = s.snd :=
begin
ext x,
{ change (_ ≫ _ ≫ _) ≫ _ = _,
simp_rw category.assoc,
erw s.snd.c.naturality_assoc,
erw [← s.X.presheaf.map_comp, ← s.X.presheaf.map_comp],
transitivity s.snd.c.app x ≫ s.X.presheaf.map (𝟙 _),
{ congr },
{ rw s.X.presheaf.map_id, erw category.comp_id } },
{ change pullback.lift _ _ _ ≫ pullback.snd = _,
simp }
end
instance pullback_cone_snd_is_open_immersion :
is_open_immersion (pullback_cone_of_left f g).snd :=
begin
erw category_theory.limits.pullback_cone.mk_snd,
apply_instance
end
/-- The constructed pullback cone is indeed the pullback. -/
def pullback_cone_of_left_is_limit :
is_limit (pullback_cone_of_left f g) :=
begin
apply pullback_cone.is_limit_aux',
intro s,
use pullback_cone_of_left_lift f g s,
use pullback_cone_of_left_lift_fst f g s,
use pullback_cone_of_left_lift_snd f g s,
intros m h₁ h₂,
rw ← cancel_mono (pullback_cone_of_left f g).snd,
exact (h₂.trans (pullback_cone_of_left_lift_snd f g s).symm)
end
instance has_pullback_of_left :
has_pullback f g :=
⟨⟨⟨_, pullback_cone_of_left_is_limit f g⟩⟩⟩
instance has_pullback_of_right :
has_pullback g f := has_pullback_symmetry f g
/-- Open immersions are stable under base-change. -/
instance pullback_snd_of_left :
is_open_immersion (pullback.snd : pullback f g ⟶ _) :=
begin
delta pullback.snd,
rw ← limit.iso_limit_cone_hom_π ⟨_, pullback_cone_of_left_is_limit f g⟩ walking_cospan.right,
apply_instance
end
/-- Open immersions are stable under base-change. -/
instance pullback_fst_of_right :
is_open_immersion (pullback.fst : pullback g f ⟶ _) :=
begin
rw ← pullback_symmetry_hom_comp_snd,
apply_instance
end
instance pullback_to_base_is_open_immersion [is_open_immersion g] :
is_open_immersion (limit.π (cospan f g) walking_cospan.one) :=
begin
rw [←limit.w (cospan f g) walking_cospan.hom.inl, cospan_map_inl],
apply_instance
end
instance forget_preserves_limits_of_left : preserves_limit (cospan f g) (forget C) :=
preserves_limit_of_preserves_limit_cone (pullback_cone_of_left_is_limit f g)
begin
apply (is_limit.postcompose_hom_equiv (diagram_iso_cospan.{v} _) _).to_fun,
refine (is_limit.equiv_iso_limit _).to_fun (limit.is_limit (cospan f.base g.base)),
fapply cones.ext,
exact (iso.refl _),
change ∀ j, _ = 𝟙 _ ≫ _ ≫ _,
simp_rw category.id_comp,
rintros (_|_|_); symmetry,
{ erw category.comp_id,
exact limit.w (cospan f.base g.base) walking_cospan.hom.inl },
{ exact category.comp_id _ },
{ exact category.comp_id _ },
end
instance forget_preserves_limits_of_right : preserves_limit (cospan g f) (forget C) :=
preserves_pullback_symmetry (forget C) f g
lemma pullback_snd_is_iso_of_range_subset (H : set.range g.base ⊆ set.range f.base) :
is_iso (pullback.snd : pullback f g ⟶ _) :=
begin
haveI := Top.snd_iso_of_left_embedding_range_subset hf.base_open.to_embedding g.base H,
haveI : is_iso (pullback.snd : pullback f g ⟶ _).base,
{ delta pullback.snd,
rw ← limit.iso_limit_cone_hom_π ⟨_, pullback_cone_of_left_is_limit f g⟩ walking_cospan.right,
change is_iso (_ ≫ pullback.snd),
apply_instance },
apply to_iso
end
/--
The universal property of open immersions:
For an open immersion `f : X ⟶ Z`, given any morphism of schemes `g : Y ⟶ Z` whose topological
image is contained in the image of `f`, we can lift this morphism to a unique `Y ⟶ X` that
commutes with these maps.
-/
def lift (H : set.range g.base ⊆ set.range f.base) : Y ⟶ X :=
begin
haveI := pullback_snd_is_iso_of_range_subset f g H,
exact inv (pullback.snd : pullback f g ⟶ _) ≫ pullback.fst,
end
@[simp, reassoc] lemma lift_fac (H : set.range g.base ⊆ set.range f.base) :
lift f g H ≫ f = g :=
by { erw category.assoc, rw is_iso.inv_comp_eq, exact pullback.condition }
lemma lift_uniq (H : set.range g.base ⊆ set.range f.base) (l : Y ⟶ X)
(hl : l ≫ f = g) : l = lift f g H :=
by rw [← cancel_mono f, hl, lift_fac]
/-- Two open immersions with equal range is isomorphic. -/
@[simps] def iso_of_range_eq [is_open_immersion g] (e : set.range f.base = set.range g.base) :
X ≅ Y :=
{ hom := lift g f (le_of_eq e),
inv := lift f g (le_of_eq e.symm),
hom_inv_id' := by { rw ← cancel_mono f, simp },
inv_hom_id' := by { rw ← cancel_mono g, simp } }
end pullback
open category_theory.limits.walking_cospan
section to_SheafedSpace
variables [has_products.{v} C] {X : PresheafedSpace.{v} C} (Y : SheafedSpace C)
variables (f : X ⟶ Y.to_PresheafedSpace) [H : is_open_immersion f]
include H
/-- If `X ⟶ Y` is an open immersion, and `Y` is a SheafedSpace, then so is `X`. -/
def to_SheafedSpace : SheafedSpace C :=
{ is_sheaf :=
begin
apply Top.presheaf.is_sheaf_of_iso (sheaf_iso_of_iso H.iso_restrict.symm).symm,
apply Top.sheaf.pushforward_sheaf_of_sheaf,
exact (Y.restrict H.base_open).is_sheaf
end,
to_PresheafedSpace := X }
@[simp] lemma to_SheafedSpace_to_PresheafedSpace : (to_SheafedSpace Y f).to_PresheafedSpace = X :=
rfl
/--
If `X ⟶ Y` is an open immersion of PresheafedSpaces, and `Y` is a SheafedSpace, we can
upgrade it into a morphism of SheafedSpaces.
-/
def to_SheafedSpace_hom : to_SheafedSpace Y f ⟶ Y := f
@[simp] lemma to_SheafedSpace_hom_base : (to_SheafedSpace_hom Y f).base = f.base := rfl
@[simp] lemma to_SheafedSpace_hom_c : (to_SheafedSpace_hom Y f).c = f.c := rfl
instance to_SheafedSpace_is_open_immersion :
SheafedSpace.is_open_immersion (to_SheafedSpace_hom Y f) := H
omit H
@[simp] lemma SheafedSpace_to_SheafedSpace {X Y : SheafedSpace.{v} C} (f : X ⟶ Y)
[is_open_immersion f] : to_SheafedSpace Y f = X := by unfreezingI { cases X, refl }
end to_SheafedSpace
section to_LocallyRingedSpace
variables {X : PresheafedSpace.{u} CommRing.{u}} (Y : LocallyRingedSpace.{u})
variables (f : X ⟶ Y.to_PresheafedSpace) [H : is_open_immersion f]
include H
/-- If `X ⟶ Y` is an open immersion, and `Y` is a LocallyRingedSpace, then so is `X`. -/
def to_LocallyRingedSpace : LocallyRingedSpace :=
{ to_SheafedSpace := to_SheafedSpace Y.to_SheafedSpace f,
local_ring := λ x, begin
haveI : local_ring (Y.to_SheafedSpace.to_PresheafedSpace.stalk (f.base x)) := Y.local_ring _,
exact (as_iso (stalk_map f x)).CommRing_iso_to_ring_equiv.local_ring
end }
@[simp] lemma to_LocallyRingedSpace_to_SheafedSpace :
(to_LocallyRingedSpace Y f).to_SheafedSpace = (to_SheafedSpace Y.1 f) := rfl
/--
If `X ⟶ Y` is an open immersion of PresheafedSpaces, and `Y` is a LocallyRingedSpace, we can
upgrade it into a morphism of LocallyRingedSpace.
-/
def to_LocallyRingedSpace_hom : to_LocallyRingedSpace Y f ⟶ Y := ⟨f, λ x, infer_instance⟩
@[simp] lemma to_LocallyRingedSpace_hom_val :
(to_LocallyRingedSpace_hom Y f).val = f := rfl
instance to_LocallyRingedSpace_is_open_immersion :
LocallyRingedSpace.is_open_immersion (to_LocallyRingedSpace_hom Y f) := H
omit H
@[simp] lemma LocallyRingedSpace_to_LocallyRingedSpace {X Y : LocallyRingedSpace} (f : X ⟶ Y)
[LocallyRingedSpace.is_open_immersion f] :
to_LocallyRingedSpace Y f.1 = X :=
by unfreezingI { cases X, delta to_LocallyRingedSpace, simp }
end to_LocallyRingedSpace
lemma is_iso_of_subset {X Y : PresheafedSpace.{v} C} (f : X ⟶ Y)
[H : PresheafedSpace.is_open_immersion f] (U : opens Y.carrier)
(hU : (U : set Y.carrier) ⊆ set.range f.base) : is_iso (f.c.app $ op U) :=
begin
have : U = H.base_open.is_open_map.functor.obj ((opens.map f.base).obj U),
{ ext1,
exact (set.inter_eq_left_iff_subset.mpr hU).symm.trans set.image_preimage_eq_inter_range.symm },
convert PresheafedSpace.is_open_immersion.c_iso ((opens.map f.base).obj U),
end
end PresheafedSpace.is_open_immersion
namespace SheafedSpace.is_open_immersion
variables [has_products.{v} C]
@[priority 100]
instance of_is_iso {X Y : SheafedSpace.{v} C} (f : X ⟶ Y) [is_iso f] :
SheafedSpace.is_open_immersion f :=
@@PresheafedSpace.is_open_immersion.of_is_iso _ f
(SheafedSpace.forget_to_PresheafedSpace.map_is_iso _)
instance comp {X Y Z : SheafedSpace C} (f : X ⟶ Y) (g : Y ⟶ Z)
[SheafedSpace.is_open_immersion f] [SheafedSpace.is_open_immersion g] :
SheafedSpace.is_open_immersion (f ≫ g) := PresheafedSpace.is_open_immersion.comp f g
section pullback
variables {X Y Z : SheafedSpace C} (f : X ⟶ Z) (g : Y ⟶ Z)
variable [H : SheafedSpace.is_open_immersion f]
include H
local notation `forget` := SheafedSpace.forget_to_PresheafedSpace
open category_theory.limits.walking_cospan
instance : mono f :=
forget .mono_of_mono_map (show @mono (PresheafedSpace C) _ _ _ f, by apply_instance)
instance forget_map_is_open_immersion :
PresheafedSpace.is_open_immersion (forget .map f) := ⟨H.base_open, H.c_iso⟩
instance has_limit_cospan_forget_of_left : has_limit (cospan f g ⋙ forget) :=
begin
apply has_limit_of_iso (diagram_iso_cospan.{v} _).symm,
change has_limit (cospan (forget .map f) (forget .map g)),
apply_instance
end
instance has_limit_cospan_forget_of_left' : has_limit (cospan ((cospan f g ⋙ forget).map hom.inl)
((cospan f g ⋙ forget).map hom.inr)) :=
show has_limit (cospan (forget .map f) (forget .map g)), from infer_instance
instance has_limit_cospan_forget_of_right : has_limit (cospan g f ⋙ forget) :=
begin
apply has_limit_of_iso (diagram_iso_cospan.{v} _).symm,
change has_limit (cospan (forget .map g) (forget .map f)),
apply_instance
end
instance has_limit_cospan_forget_of_right' : has_limit (cospan ((cospan g f ⋙ forget).map hom.inl)
((cospan g f ⋙ forget).map hom.inr)) :=
show has_limit (cospan (forget .map g) (forget .map f)), from infer_instance
instance forget_creates_pullback_of_left : creates_limit (cospan f g) forget :=
creates_limit_of_fully_faithful_of_iso
(PresheafedSpace.is_open_immersion.to_SheafedSpace Y
(@pullback.snd (PresheafedSpace C) _ _ _ _ f g _))
(eq_to_iso (show pullback _ _ = pullback _ _, by congr)
≪≫ has_limit.iso_of_nat_iso (diagram_iso_cospan _).symm)
instance forget_creates_pullback_of_right : creates_limit (cospan g f) forget :=
creates_limit_of_fully_faithful_of_iso
(PresheafedSpace.is_open_immersion.to_SheafedSpace Y
(@pullback.fst (PresheafedSpace C) _ _ _ _ g f _))
(eq_to_iso (show pullback _ _ = pullback _ _, by congr)
≪≫ has_limit.iso_of_nat_iso (diagram_iso_cospan _).symm)
instance SheafedSpace_forget_preserves_of_left :
preserves_limit (cospan f g) (SheafedSpace.forget C) :=
@@limits.comp_preserves_limit _ _ _ _ forget (PresheafedSpace.forget C) _
begin
apply_with (preserves_limit_of_iso_diagram _ (diagram_iso_cospan.{v} _).symm) { instances := tt },
dsimp,
apply_instance
end
instance SheafedSpace_forget_preserves_of_right :
preserves_limit (cospan g f) (SheafedSpace.forget C) :=
preserves_pullback_symmetry _ _ _
instance SheafedSpace_has_pullback_of_left : has_pullback f g :=
has_limit_of_created (cospan f g) forget
instance SheafedSpace_has_pullback_of_right : has_pullback g f :=
has_limit_of_created (cospan g f) forget
/-- Open immersions are stable under base-change. -/
instance SheafedSpace_pullback_snd_of_left :
SheafedSpace.is_open_immersion (pullback.snd : pullback f g ⟶ _) :=
begin
delta pullback.snd,
have : _ = limit.π (cospan f g) right := preserves_limits_iso_hom_π
forget (cospan f g) right,
rw ← this,
have := has_limit.iso_of_nat_iso_hom_π
(diagram_iso_cospan.{v} (cospan f g ⋙ forget))
right,
erw category.comp_id at this,
rw ← this,
dsimp,
apply_instance
end
instance SheafedSpace_pullback_fst_of_right :
SheafedSpace.is_open_immersion (pullback.fst : pullback g f ⟶ _) :=
begin
delta pullback.fst,
have : _ = limit.π (cospan g f) left := preserves_limits_iso_hom_π
forget (cospan g f) left,
rw ← this,
have := has_limit.iso_of_nat_iso_hom_π
(diagram_iso_cospan.{v} (cospan g f ⋙ forget)) left,
erw category.comp_id at this,
rw ← this,
dsimp,
apply_instance
end
instance SheafedSpace_pullback_to_base_is_open_immersion [SheafedSpace.is_open_immersion g] :
SheafedSpace.is_open_immersion (limit.π (cospan f g) one : pullback f g ⟶ Z) :=
begin
rw [←limit.w (cospan f g) hom.inl, cospan_map_inl],
apply_instance
end
end pullback
section of_stalk_iso
variables [has_limits C] [has_colimits C] [concrete_category.{v} C]
variables [reflects_isomorphisms (forget C)] [preserves_limits (forget C)]
variables [preserves_filtered_colimits (forget C)]
/--
Suppose `X Y : SheafedSpace C`, where `C` is a concrete category,
whose forgetful functor reflects isomorphisms, preserves limits and filtered colimits.
Then a morphism `X ⟶ Y` that is a topological open embedding
is an open immersion iff every stalk map is an iso.
-/
lemma of_stalk_iso {X Y : SheafedSpace C} (f : X ⟶ Y)
(hf : open_embedding f.base) [H : ∀ x : X, is_iso (PresheafedSpace.stalk_map f x)] :
SheafedSpace.is_open_immersion f :=
{ base_open := hf,
c_iso := λ U, begin
apply_with (Top.presheaf.app_is_iso_of_stalk_functor_map_iso
(show Y.sheaf ⟶ (Top.sheaf.pushforward f.base).obj X.sheaf, from ⟨f.c⟩)) { instances := ff },
rintros ⟨_, y, hy, rfl⟩,
specialize H y,
delta PresheafedSpace.stalk_map at H,
haveI H' := Top.presheaf.stalk_pushforward.stalk_pushforward_iso_of_open_embedding
C hf X.presheaf y,
have := @@is_iso.comp_is_iso _ H (@@is_iso.inv_is_iso _ H'),
rw [category.assoc, is_iso.hom_inv_id, category.comp_id] at this,
exact this
end }
end of_stalk_iso
section prod
variables [has_limits C] {ι : Type v} (F : discrete ι ⥤ SheafedSpace C) [has_colimit F]
(i : discrete ι)
lemma sigma_ι_open_embedding : open_embedding (colimit.ι F i).base :=
begin
rw ← (show _ = (colimit.ι F i).base,
from ι_preserves_colimits_iso_inv (SheafedSpace.forget C) F i),
have : _ = _ ≫ colimit.ι (discrete.functor ((F ⋙ SheafedSpace.forget C).obj ∘ discrete.mk)) i :=
has_colimit.iso_of_nat_iso_ι_hom discrete.nat_iso_functor i,
rw ← iso.eq_comp_inv at this,
rw this,
have : colimit.ι _ _ ≫ _ = _ :=
Top.sigma_iso_sigma_hom_ι.{v v} ((F ⋙ SheafedSpace.forget C).obj ∘ discrete.mk) i.as,
rw ← iso.eq_comp_inv at this,
cases i,
rw this,
simp_rw [← category.assoc, Top.open_embedding_iff_comp_is_iso,
Top.open_embedding_iff_is_iso_comp],
dsimp,
exact open_embedding_sigma_mk
end
lemma image_preimage_is_empty (j : discrete ι) (h : i ≠ j) (U : opens (F.obj i)) :
(opens.map (colimit.ι (F ⋙ SheafedSpace.forget_to_PresheafedSpace) j).base).obj
((opens.map (preserves_colimit_iso SheafedSpace.forget_to_PresheafedSpace F).inv.base).obj
((sigma_ι_open_embedding F i).is_open_map.functor.obj U)) = ∅ :=
begin
ext,
apply iff_false_intro,
rintro ⟨y, hy, eq⟩,
replace eq := concrete_category.congr_arg
(preserves_colimit_iso (SheafedSpace.forget C) F ≪≫
has_colimit.iso_of_nat_iso discrete.nat_iso_functor ≪≫ Top.sigma_iso_sigma.{v} _).hom eq,
simp_rw [category_theory.iso.trans_hom, ← Top.comp_app, ← PresheafedSpace.comp_base] at eq,
rw ι_preserves_colimits_iso_inv at eq,
change ((SheafedSpace.forget C).map (colimit.ι F i) ≫ _) y =
((SheafedSpace.forget C).map (colimit.ι F j) ≫ _) x at eq,
cases i, cases j,
rw [ι_preserves_colimits_iso_hom_assoc, ι_preserves_colimits_iso_hom_assoc,
has_colimit.iso_of_nat_iso_ι_hom_assoc, has_colimit.iso_of_nat_iso_ι_hom_assoc,
Top.sigma_iso_sigma_hom_ι.{v}, Top.sigma_iso_sigma_hom_ι.{v}] at eq,
exact h (congr_arg discrete.mk (congr_arg sigma.fst eq)),
end
instance sigma_ι_is_open_immersion [has_strict_terminal_objects C] :
SheafedSpace.is_open_immersion (colimit.ι F i) :=
{ base_open := sigma_ι_open_embedding F i,
c_iso := λ U, begin
have e : colimit.ι F i = _ :=
(ι_preserves_colimits_iso_inv SheafedSpace.forget_to_PresheafedSpace F i).symm,
have H : open_embedding (colimit.ι (F ⋙ SheafedSpace.forget_to_PresheafedSpace) i ≫
(preserves_colimit_iso SheafedSpace.forget_to_PresheafedSpace F).inv).base :=
e ▸ sigma_ι_open_embedding F i,
suffices : is_iso ((colimit.ι (F ⋙ SheafedSpace.forget_to_PresheafedSpace) i ≫
(preserves_colimit_iso SheafedSpace.forget_to_PresheafedSpace F).inv).c.app
(op (H.is_open_map.functor.obj U))),
{ convert this },
rw [PresheafedSpace.comp_c_app,
← PresheafedSpace.colimit_presheaf_obj_iso_componentwise_limit_hom_π],
rsufficesI : is_iso (limit.π (PresheafedSpace.componentwise_diagram
(F ⋙ SheafedSpace.forget_to_PresheafedSpace)
((opens.map (preserves_colimit_iso SheafedSpace.forget_to_PresheafedSpace F).inv.base).obj
(unop $ op $ H.is_open_map.functor.obj U))) (op i)),
{ apply_instance },
apply limit_π_is_iso_of_is_strict_terminal,
intros j hj,
induction j using opposite.rec,
dsimp,
convert (F.obj j).sheaf.is_terminal_of_empty,
convert image_preimage_is_empty F i j (λ h, hj (congr_arg op h.symm)) U,
exact (congr_arg PresheafedSpace.hom.base e).symm
end }
end prod
end SheafedSpace.is_open_immersion
namespace LocallyRingedSpace.is_open_immersion
section pullback
variables {X Y Z : LocallyRingedSpace.{u}} (f : X ⟶ Z) (g : Y ⟶ Z)
variable [H : LocallyRingedSpace.is_open_immersion f]
@[priority 100]
instance of_is_iso [is_iso g] :
LocallyRingedSpace.is_open_immersion g :=
@@PresheafedSpace.is_open_immersion.of_is_iso _ g.1 ⟨⟨(inv g).1,
by { erw ← LocallyRingedSpace.comp_val, rw is_iso.hom_inv_id,
erw ← LocallyRingedSpace.comp_val, rw is_iso.inv_hom_id, split; simpa }⟩⟩
include H
instance comp (g : Z ⟶ Y) [LocallyRingedSpace.is_open_immersion g] :
LocallyRingedSpace.is_open_immersion (f ≫ g) := PresheafedSpace.is_open_immersion.comp f.1 g.1
instance mono : mono f :=
LocallyRingedSpace.forget_to_SheafedSpace.mono_of_mono_map (show mono f.1, by apply_instance)
instance : SheafedSpace.is_open_immersion (LocallyRingedSpace.forget_to_SheafedSpace.map f) := H
/-- An explicit pullback cone over `cospan f g` if `f` is an open immersion. -/
def pullback_cone_of_left : pullback_cone f g :=
begin
refine pullback_cone.mk _
(Y.of_restrict (Top.snd_open_embedding_of_left_open_embedding H.base_open g.1.base)) _,
{ use PresheafedSpace.is_open_immersion.pullback_cone_of_left_fst f.1 g.1,
intro x,
have := PresheafedSpace.stalk_map.congr_hom _ _
(PresheafedSpace.is_open_immersion.pullback_cone_of_left_condition f.1 g.1) x,
rw [PresheafedSpace.stalk_map.comp, PresheafedSpace.stalk_map.comp] at this,
rw ← is_iso.eq_inv_comp at this,
rw this,
apply_instance },
{ exact LocallyRingedSpace.hom.ext _ _
(PresheafedSpace.is_open_immersion.pullback_cone_of_left_condition _ _) },
end
instance : LocallyRingedSpace.is_open_immersion (pullback_cone_of_left f g).snd :=
show PresheafedSpace.is_open_immersion (Y.to_PresheafedSpace.of_restrict _), by apply_instance
/-- The constructed `pullback_cone_of_left` is indeed limiting. -/
def pullback_cone_of_left_is_limit : is_limit (pullback_cone_of_left f g) :=
pullback_cone.is_limit_aux' _ $ λ s,
begin
use PresheafedSpace.is_open_immersion.pullback_cone_of_left_lift f.1 g.1
(pullback_cone.mk s.fst.1 s.snd.1 (congr_arg LocallyRingedSpace.hom.val s.condition)),
{ intro x,
have := PresheafedSpace.stalk_map.congr_hom _ _
(PresheafedSpace.is_open_immersion.pullback_cone_of_left_lift_snd f.1 g.1
(pullback_cone.mk s.fst.1 s.snd.1 (congr_arg LocallyRingedSpace.hom.val s.condition))) x,
change _ = _ ≫ PresheafedSpace.stalk_map s.snd.1 x at this,
rw [PresheafedSpace.stalk_map.comp, ← is_iso.eq_inv_comp] at this,
rw this,
apply_instance },
split,
{ exact LocallyRingedSpace.hom.ext _ _
(PresheafedSpace.is_open_immersion.pullback_cone_of_left_lift_fst f.1 g.1 _) },
split,
{ exact LocallyRingedSpace.hom.ext _ _
(PresheafedSpace.is_open_immersion.pullback_cone_of_left_lift_snd f.1 g.1 _) },
intros m h₁ h₂,
rw ← cancel_mono (pullback_cone_of_left f g).snd,
exact (h₂.trans (LocallyRingedSpace.hom.ext _ _
(PresheafedSpace.is_open_immersion.pullback_cone_of_left_lift_snd f.1 g.1
(pullback_cone.mk s.fst.1 s.snd.1 (congr_arg LocallyRingedSpace.hom.val s.condition))).symm))
end
instance has_pullback_of_left :
has_pullback f g :=
⟨⟨⟨_, pullback_cone_of_left_is_limit f g⟩⟩⟩
instance has_pullback_of_right :
has_pullback g f := has_pullback_symmetry f g
/-- Open immersions are stable under base-change. -/
instance pullback_snd_of_left :
LocallyRingedSpace.is_open_immersion (pullback.snd : pullback f g ⟶ _) :=
begin
delta pullback.snd,
rw ← limit.iso_limit_cone_hom_π ⟨_, pullback_cone_of_left_is_limit f g⟩ walking_cospan.right,
apply_instance
end
/-- Open immersions are stable under base-change. -/
instance pullback_fst_of_right :
LocallyRingedSpace.is_open_immersion (pullback.fst : pullback g f ⟶ _) :=
begin
rw ← pullback_symmetry_hom_comp_snd,
apply_instance
end
instance pullback_to_base_is_open_immersion [LocallyRingedSpace.is_open_immersion g] :
LocallyRingedSpace.is_open_immersion (limit.π (cospan f g) walking_cospan.one) :=
begin
rw [←limit.w (cospan f g) walking_cospan.hom.inl, cospan_map_inl],
apply_instance
end
instance forget_preserves_pullback_of_left :
preserves_limit (cospan f g) LocallyRingedSpace.forget_to_SheafedSpace :=
preserves_limit_of_preserves_limit_cone (pullback_cone_of_left_is_limit f g)
begin
apply (is_limit_map_cone_pullback_cone_equiv _ _).symm.to_fun,
apply is_limit_of_is_limit_pullback_cone_map SheafedSpace.forget_to_PresheafedSpace,
exact PresheafedSpace.is_open_immersion.pullback_cone_of_left_is_limit f.1 g.1
end
instance forget_to_PresheafedSpace_preserves_pullback_of_left :
preserves_limit (cospan f g)
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget_to_PresheafedSpace) :=
preserves_limit_of_preserves_limit_cone (pullback_cone_of_left_is_limit f g)
begin
apply (is_limit_map_cone_pullback_cone_equiv _ _).symm.to_fun,
exact PresheafedSpace.is_open_immersion.pullback_cone_of_left_is_limit f.1 g.1
end
instance forget_to_PresheafedSpace_preserves_open_immersion :
PresheafedSpace.is_open_immersion ((LocallyRingedSpace.forget_to_SheafedSpace ⋙
SheafedSpace.forget_to_PresheafedSpace).map f) := H
instance forget_to_Top_preserves_pullback_of_left :
preserves_limit (cospan f g)
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget _) :=
begin
change preserves_limit _
((LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget_to_PresheafedSpace)
⋙ PresheafedSpace.forget _),
apply_with limits.comp_preserves_limit { instances := ff },
apply_instance,
apply preserves_limit_of_iso_diagram _ (diagram_iso_cospan.{u} _).symm,
dsimp [SheafedSpace.forget_to_PresheafedSpace],
apply_instance,
end
instance forget_reflects_pullback_of_left :
reflects_limit (cospan f g) LocallyRingedSpace.forget_to_SheafedSpace :=
reflects_limit_of_reflects_isomorphisms _ _
instance forget_preserves_pullback_of_right :
preserves_limit (cospan g f) LocallyRingedSpace.forget_to_SheafedSpace :=
preserves_pullback_symmetry _ _ _
instance forget_to_PresheafedSpace_preserves_pullback_of_right :
preserves_limit (cospan g f) (LocallyRingedSpace.forget_to_SheafedSpace ⋙
SheafedSpace.forget_to_PresheafedSpace) :=
preserves_pullback_symmetry _ _ _
instance forget_reflects_pullback_of_right :
reflects_limit (cospan g f) LocallyRingedSpace.forget_to_SheafedSpace :=
reflects_limit_of_reflects_isomorphisms _ _
instance forget_to_PresheafedSpace_reflects_pullback_of_left :
reflects_limit (cospan f g)
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget_to_PresheafedSpace) :=
reflects_limit_of_reflects_isomorphisms _ _
instance forget_to_PresheafedSpace_reflects_pullback_of_right :
reflects_limit (cospan g f)
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget_to_PresheafedSpace) :=
reflects_limit_of_reflects_isomorphisms _ _
lemma pullback_snd_is_iso_of_range_subset (H' : set.range g.1.base ⊆ set.range f.1.base) :
is_iso (pullback.snd : pullback f g ⟶ _) :=
begin
apply_with (reflects_isomorphisms.reflects LocallyRingedSpace.forget_to_SheafedSpace)
{ instances := ff },
apply_with (reflects_isomorphisms.reflects SheafedSpace.forget_to_PresheafedSpace)
{ instances := ff },
erw ← preserves_pullback.iso_hom_snd
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget_to_PresheafedSpace) f g,
haveI := PresheafedSpace.is_open_immersion.pullback_snd_is_iso_of_range_subset _ _ H',
apply_instance,
apply_instance
end
/--
The universal property of open immersions:
For an open immersion `f : X ⟶ Z`, given any morphism of schemes `g : Y ⟶ Z` whose topological
image is contained in the image of `f`, we can lift this morphism to a unique `Y ⟶ X` that
commutes with these maps.
-/
def lift (H' : set.range g.1.base ⊆ set.range f.1.base) : Y ⟶ X :=
begin
haveI := pullback_snd_is_iso_of_range_subset f g H',
exact inv (pullback.snd : pullback f g ⟶ _) ≫ pullback.fst,
end
@[simp, reassoc] lemma lift_fac (H' : set.range g.1.base ⊆ set.range f.1.base) :
lift f g H' ≫ f = g :=
by { erw category.assoc, rw is_iso.inv_comp_eq, exact pullback.condition }
lemma lift_uniq (H' : set.range g.1.base ⊆ set.range f.1.base) (l : Y ⟶ X)
(hl : l ≫ f = g) : l = lift f g H' :=
by rw [← cancel_mono f, hl, lift_fac]
lemma lift_range (H' : set.range g.1.base ⊆ set.range f.1.base) :
set.range (lift f g H').1.base = f.1.base ⁻¹' (set.range g.1.base) :=
begin
haveI := pullback_snd_is_iso_of_range_subset f g H',
dsimp only [lift],
have : _ = (pullback.fst : pullback f g ⟶ _).val.base := preserves_pullback.iso_hom_fst
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget _) f g,
rw [LocallyRingedSpace.comp_val, SheafedSpace.comp_base, ← this, ← category.assoc, coe_comp],
rw [set.range_comp, set.range_iff_surjective.mpr, set.image_univ, Top.pullback_fst_range],
ext,
split,
{ rintros ⟨y, eq⟩, exact ⟨y, eq.symm⟩ },
{ rintros ⟨y, eq⟩, exact ⟨y, eq.symm⟩ },
{ rw ← Top.epi_iff_surjective,
rw (show (inv (pullback.snd : pullback f g ⟶ _)).val.base = _, from
(LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget _).map_inv _),
apply_instance }
end
end pullback
/-- An open immersion is isomorphic to the induced open subscheme on its image. -/
def iso_restrict {X Y : LocallyRingedSpace} {f : X ⟶ Y}
(H : LocallyRingedSpace.is_open_immersion f) : X ≅ Y.restrict H.base_open :=
begin
apply LocallyRingedSpace.iso_of_SheafedSpace_iso,
refine SheafedSpace.forget_to_PresheafedSpace.preimage_iso _,
exact H.iso_restrict
end
/-- To show that a locally ringed space is a scheme, it suffices to show that it has a jointly
surjective family of open immersions from affine schemes. -/
protected def Scheme (X : LocallyRingedSpace)
(h : ∀ (x : X), ∃ (R : CommRing) (f : Spec.to_LocallyRingedSpace.obj (op R) ⟶ X),
(x ∈ set.range f.1.base : _) ∧ LocallyRingedSpace.is_open_immersion f) : Scheme :=
{ to_LocallyRingedSpace := X,
local_affine :=
begin
intro x,
obtain ⟨R, f, h₁, h₂⟩ := h x,
refine ⟨⟨⟨_, h₂.base_open.open_range⟩, h₁⟩, R, ⟨_⟩⟩,
apply LocallyRingedSpace.iso_of_SheafedSpace_iso,
refine SheafedSpace.forget_to_PresheafedSpace.preimage_iso _,
resetI,
apply PresheafedSpace.is_open_immersion.iso_of_range_eq (PresheafedSpace.of_restrict _ _) f.1,
{ exact subtype.range_coe_subtype },
{ apply_instance }
end }
end LocallyRingedSpace.is_open_immersion
lemma is_open_immersion.open_range {X Y : Scheme} (f : X ⟶ Y) [H : is_open_immersion f] :
is_open (set.range f.1.base) := H.base_open.open_range
section open_cover
namespace Scheme
/-- An open cover of `X` consists of a family of open immersions into `X`,
and for each `x : X` an open immersion (indexed by `f x`) that covers `x`.
This is merely a coverage in the Zariski pretopology, and it would be optimal
if we could reuse the existing API about pretopologies, However, the definitions of sieves and
grothendieck topologies uses `Prop`s, so that the actual open sets and immersions are hard to
obtain. Also, since such a coverage in the pretopology usually contains a proper class of
immersions, it is quite hard to glue them, reason about finite covers, etc.
-/
-- TODO: provide API to and from a presieve.
structure open_cover (X : Scheme.{u}) :=
(J : Type v)
(obj : Π (j : J), Scheme)
(map : Π (j : J), obj j ⟶ X)
(f : X.carrier → J)
(covers : ∀ x, x ∈ set.range ((map (f x)).1.base))
(is_open : ∀ x, is_open_immersion (map x) . tactic.apply_instance)
attribute [instance] open_cover.is_open
variables {X Y Z : Scheme.{u}} (𝒰 : open_cover X) (f : X ⟶ Z) (g : Y ⟶ Z)
variables [∀ x, has_pullback (𝒰.map x ≫ f) g]
/-- The affine cover of a scheme. -/
def affine_cover (X : Scheme) : open_cover X :=
{ J := X.carrier,
obj := λ x, Spec.obj $ opposite.op (X.local_affine x).some_spec.some,
map := λ x, ((X.local_affine x).some_spec.some_spec.some.inv ≫
X.to_LocallyRingedSpace.of_restrict _ : _),
f := λ x, x,
is_open := λ x, begin
apply_with PresheafedSpace.is_open_immersion.comp { instances := ff },
apply_instance,
apply PresheafedSpace.is_open_immersion.of_restrict,
end,
covers :=
begin
intro x,
erw coe_comp,
rw [set.range_comp, set.range_iff_surjective.mpr, set.image_univ],
erw subtype.range_coe_subtype,
exact (X.local_affine x).some.2,
rw ← Top.epi_iff_surjective,
change epi ((SheafedSpace.forget _).map (LocallyRingedSpace.forget_to_SheafedSpace.map _)),
apply_instance
end }
instance : inhabited X.open_cover := ⟨X.affine_cover⟩
/-- Given an open cover `{ Uᵢ }` of `X`, and for each `Uᵢ` an open cover, we may combine these
open covers to form an open cover of `X`. -/
@[simps J obj map]
def open_cover.bind (f : Π (x : 𝒰.J), open_cover (𝒰.obj x)) : open_cover X :=
{ J := Σ (i : 𝒰.J), (f i).J,
obj := λ x, (f x.1).obj x.2,
map := λ x, (f x.1).map x.2 ≫ 𝒰.map x.1,
f := λ x, ⟨_, (f _).f (𝒰.covers x).some⟩,
covers := λ x,
begin
let y := (𝒰.covers x).some,
have hy : (𝒰.map (𝒰.f x)).val.base y = x := (𝒰.covers x).some_spec,
rcases (f (𝒰.f x)).covers y with ⟨z, hz⟩,
change x ∈ set.range (((f (𝒰.f x)).map ((f (𝒰.f x)).f y) ≫ 𝒰.map (𝒰.f x)).1.base),
use z,
erw comp_apply,
rw [hz, hy],
end }
/-- An isomorphism `X ⟶ Y` is an open cover of `Y`. -/
@[simps J obj map]
def open_cover_of_is_iso {X Y : Scheme.{u}} (f : X ⟶ Y) [is_iso f] :
open_cover Y :=
{ J := punit.{v+1},
obj := λ _, X,
map := λ _, f,
f := λ _, punit.star,
covers := λ x, by { rw set.range_iff_surjective.mpr, { trivial }, rw ← Top.epi_iff_surjective,
apply_instance } }
/-- We construct an open cover from another, by providing the needed fields and showing that the
provided fields are isomorphic with the original open cover. -/
@[simps J obj map]
def open_cover.copy {X : Scheme} (𝒰 : open_cover X)
(J : Type*) (obj : J → Scheme) (map : ∀ i, obj i ⟶ X)
(e₁ : J ≃ 𝒰.J) (e₂ : ∀ i, obj i ≅ 𝒰.obj (e₁ i))
(e₂ : ∀ i, map i = (e₂ i).hom ≫ 𝒰.map (e₁ i)) : open_cover X :=
{ J := J,
obj := obj,
map := map,
f := λ x, e₁.symm (𝒰.f x),
covers := λ x, begin
rw [e₂, Scheme.comp_val_base, coe_comp, set.range_comp, set.range_iff_surjective.mpr,
set.image_univ, e₁.right_inverse_symm],
{ exact 𝒰.covers x },
{ rw ← Top.epi_iff_surjective, apply_instance }
end,
is_open := λ i, by { rw e₂, apply_instance } }
/-- The pushforward of an open cover along an isomorphism. -/
@[simps J obj map]
def open_cover.pushforward_iso {X Y : Scheme} (𝒰 : open_cover X)
(f : X ⟶ Y) [is_iso f] :
open_cover Y :=
((open_cover_of_is_iso f).bind (λ _, 𝒰)).copy 𝒰.J _ _
((equiv.punit_prod _).symm.trans (equiv.sigma_equiv_prod punit 𝒰.J).symm)
(λ _, iso.refl _)
(λ _, (category.id_comp _).symm)
/-- Adding an open immersion into an open cover gives another open cover. -/
@[simps]
def open_cover.add {X : Scheme} (𝒰 : X.open_cover) {Y : Scheme} (f : Y ⟶ X)
[is_open_immersion f] : X.open_cover :=
{ J := option 𝒰.J,
obj := λ i, option.rec Y 𝒰.obj i,
map := λ i, option.rec f 𝒰.map i,
f := λ x, some (𝒰.f x),
covers := 𝒰.covers,
is_open := by rintro (_|_); dsimp; apply_instance }
-- Related result : `open_cover.pullback_cover`, where we pullback an open cover on `X` along a
-- morphism `W ⟶ X`. This is provided at the end of the file since it needs some more results
-- about open immersion (which in turn needs the open cover API).
local attribute [reducible] CommRing.of CommRing.of_hom
instance val_base_is_iso {X Y : Scheme} (f : X ⟶ Y) [is_iso f] : is_iso f.1.base :=
Scheme.forget_to_Top.map_is_iso f
instance basic_open_is_open_immersion {R : CommRing} (f : R) :
algebraic_geometry.is_open_immersion (Scheme.Spec.map (CommRing.of_hom
(algebra_map R (localization.away f))).op) :=
begin
apply_with SheafedSpace.is_open_immersion.of_stalk_iso { instances := ff },
any_goals { apply_instance },
any_goals { apply_instance },
exact (prime_spectrum.localization_away_open_embedding (localization.away f) f : _),
intro x,
exact Spec_map_localization_is_iso R (submonoid.powers f) x,
end
/-- The basic open sets form an affine open cover of `Spec R`. -/
def affine_basis_cover_of_affine (R : CommRing) : open_cover (Spec.obj (opposite.op R)) :=
{ J := R,
obj := λ r, Spec.obj (opposite.op $ CommRing.of $ localization.away r),
map := λ r, Spec.map (quiver.hom.op (algebra_map R (localization.away r) : _)),
f := λ x, 1,
covers := λ r,
begin
rw set.range_iff_surjective.mpr ((Top.epi_iff_surjective _).mp _),
{ exact trivial },
{ apply_instance }
end,
is_open := λ x, algebraic_geometry.Scheme.basic_open_is_open_immersion x }
/-- We may bind the basic open sets of an open affine cover to form a affine cover that is also
a basis. -/
def affine_basis_cover (X : Scheme) : open_cover X :=
X.affine_cover.bind (λ x, affine_basis_cover_of_affine _)
/-- The coordinate ring of a component in the `affine_basis_cover`. -/
def affine_basis_cover_ring (X : Scheme) (i : X.affine_basis_cover.J) : CommRing :=
CommRing.of $ @localization.away (X.local_affine i.1).some_spec.some _ i.2
lemma affine_basis_cover_obj (X : Scheme) (i : X.affine_basis_cover.J) :
X.affine_basis_cover.obj i = Spec.obj (op $ X.affine_basis_cover_ring i) := rfl
lemma affine_basis_cover_map_range (X : Scheme)
(x : X.carrier) (r : (X.local_affine x).some_spec.some) :
set.range (X.affine_basis_cover.map ⟨x, r⟩).1.base =
(X.affine_cover.map x).1.base '' (prime_spectrum.basic_open r).1 :=
begin
erw [coe_comp, set.range_comp],
congr,
exact (prime_spectrum.localization_away_comap_range (localization.away r) r : _)
end
lemma affine_basis_cover_is_basis (X : Scheme) :
topological_space.is_topological_basis
{ x : set X.carrier | ∃ a : X.affine_basis_cover.J, x =
set.range ((X.affine_basis_cover.map a).1.base) } :=
begin
apply topological_space.is_topological_basis_of_open_of_nhds,
{ rintros _ ⟨a, rfl⟩,
exact is_open_immersion.open_range (X.affine_basis_cover.map a) },
{ rintros a U haU hU,
rcases X.affine_cover.covers a with ⟨x, e⟩,
let U' := (X.affine_cover.map (X.affine_cover.f a)).1.base ⁻¹' U,
have hxU' : x ∈ U' := by { rw ← e at haU, exact haU },
rcases prime_spectrum.is_basis_basic_opens.exists_subset_of_mem_open hxU'
((X.affine_cover.map (X.affine_cover.f a)).1.base.continuous_to_fun.is_open_preimage _ hU)
with ⟨_,⟨_,⟨s,rfl⟩,rfl⟩,hxV,hVU⟩,
refine ⟨_,⟨⟨_,s⟩,rfl⟩,_,_⟩; erw affine_basis_cover_map_range,
{ exact ⟨x,hxV,e⟩ },
{ rw set.image_subset_iff, exact hVU } }
end
/--
Every open cover of a quasi-compact scheme can be refined into a finite subcover.
-/
@[simps obj map]
def open_cover.finite_subcover {X : Scheme} (𝒰 : open_cover X) [H : compact_space X.carrier] :
open_cover X :=
begin
have := @@compact_space.elim_nhds_subcover _ H
(λ (x : X.carrier), set.range ((𝒰.map (𝒰.f x)).1.base))
(λ x, (is_open_immersion.open_range (𝒰.map (𝒰.f x))).mem_nhds (𝒰.covers x)),
let t := this.some,
have h : ∀ (x : X.carrier), ∃ (y : t), x ∈ set.range ((𝒰.map (𝒰.f y)).1.base),
{ intro x,
have h' : x ∈ (⊤ : set X.carrier) := trivial,
rw [← classical.some_spec this, set.mem_Union] at h',
rcases h' with ⟨y,_,⟨hy,rfl⟩,hy'⟩,
exact ⟨⟨y,hy⟩,hy'⟩ },
exact
{ J := t,
obj := λ x, 𝒰.obj (𝒰.f x.1),
map := λ x, 𝒰.map (𝒰.f x.1),
f := λ x, (h x).some,
covers := λ x, (h x).some_spec }
end
instance [H : compact_space X.carrier] : fintype 𝒰.finite_subcover.J :=
by { delta open_cover.finite_subcover, apply_instance }
end Scheme
end open_cover
namespace PresheafedSpace.is_open_immersion
section to_Scheme
variables {X : PresheafedSpace.{u} CommRing.{u}} (Y : Scheme.{u})
variables (f : X ⟶ Y.to_PresheafedSpace) [H : PresheafedSpace.is_open_immersion f]
include H
/-- If `X ⟶ Y` is an open immersion, and `Y` is a scheme, then so is `X`. -/
def to_Scheme : Scheme :=
begin
apply LocallyRingedSpace.is_open_immersion.Scheme (to_LocallyRingedSpace _ f),
intro x,
obtain ⟨_,⟨i,rfl⟩,hx,hi⟩ := Y.affine_basis_cover_is_basis.exists_subset_of_mem_open
(set.mem_range_self x) H.base_open.open_range,
use Y.affine_basis_cover_ring i,
use LocallyRingedSpace.is_open_immersion.lift (to_LocallyRingedSpace_hom _ f) _ hi,
split,
{ rw LocallyRingedSpace.is_open_immersion.lift_range, exact hx },
{ delta LocallyRingedSpace.is_open_immersion.lift, apply_instance }
end
@[simp] lemma to_Scheme_to_LocallyRingedSpace :
(to_Scheme Y f).to_LocallyRingedSpace = (to_LocallyRingedSpace Y.1 f) := rfl
/--
If `X ⟶ Y` is an open immersion of PresheafedSpaces, and `Y` is a Scheme, we can
upgrade it into a morphism of Schemes.
-/
def to_Scheme_hom : to_Scheme Y f ⟶ Y := to_LocallyRingedSpace_hom _ f
@[simp] lemma to_Scheme_hom_val :
(to_Scheme_hom Y f).val = f := rfl
instance to_Scheme_hom_is_open_immersion :
is_open_immersion (to_Scheme_hom Y f) := H
omit H
lemma Scheme_eq_of_LocallyRingedSpace_eq {X Y : Scheme}
(H : X.to_LocallyRingedSpace = Y.to_LocallyRingedSpace) : X = Y :=
by { cases X, cases Y, congr, exact H }
lemma Scheme_to_Scheme {X Y : Scheme} (f : X ⟶ Y) [is_open_immersion f] :
to_Scheme Y f.1 = X :=
begin
apply Scheme_eq_of_LocallyRingedSpace_eq,
exact LocallyRingedSpace_to_LocallyRingedSpace f
end
end to_Scheme
end PresheafedSpace.is_open_immersion
/-- The restriction of a Scheme along an open embedding. -/
@[simps]
def Scheme.restrict {U : Top} (X : Scheme) {f : U ⟶ Top.of X.carrier} (h : open_embedding f) :
Scheme :=
{ to_PresheafedSpace := X.to_PresheafedSpace.restrict h,
..(PresheafedSpace.is_open_immersion.to_Scheme X (X.to_PresheafedSpace.of_restrict h)) }
/-- The canonical map from the restriction to the supspace. -/
@[simps]
def Scheme.of_restrict {U : Top} (X : Scheme) {f : U ⟶ Top.of X.carrier} (h : open_embedding f) :
X.restrict h ⟶ X :=
X.to_LocallyRingedSpace.of_restrict h
instance is_open_immersion.of_restrict {U : Top} (X : Scheme) {f : U ⟶ Top.of X.carrier}
(h : open_embedding f) : is_open_immersion (X.of_restrict h) :=
show PresheafedSpace.is_open_immersion (X.to_PresheafedSpace.of_restrict h), by apply_instance
namespace is_open_immersion
variables {X Y Z : Scheme.{u}} (f : X ⟶ Z) (g : Y ⟶ Z)
variable [H : is_open_immersion f]
@[priority 100]
instance of_is_iso [is_iso g] :
is_open_immersion g := @@LocallyRingedSpace.is_open_immersion.of_is_iso _
(show is_iso ((induced_functor _).map g), by apply_instance)
lemma to_iso {X Y : Scheme} (f : X ⟶ Y) [h : is_open_immersion f]
[epi f.1.base] : is_iso f :=
@@is_iso_of_reflects_iso _ _ f (Scheme.forget_to_LocallyRingedSpace ⋙
LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget_to_PresheafedSpace)
(@@PresheafedSpace.is_open_immersion.to_iso _ f.1 h _) _
lemma of_stalk_iso {X Y : Scheme} (f : X ⟶ Y) (hf : open_embedding f.1.base)
[∀ x, is_iso (PresheafedSpace.stalk_map f.1 x)] : is_open_immersion f :=
SheafedSpace.is_open_immersion.of_stalk_iso f.1 hf
lemma iff_stalk_iso {X Y : Scheme} (f : X ⟶ Y) :
is_open_immersion f ↔ open_embedding f.1.base ∧ ∀ x, is_iso (PresheafedSpace.stalk_map f.1 x) :=
⟨λ H, ⟨H.1, by exactI infer_instance⟩, λ ⟨h₁, h₂⟩, @@is_open_immersion.of_stalk_iso f h₁ h₂⟩
lemma _root_.algebraic_geometry.is_iso_iff_is_open_immersion {X Y : Scheme} (f : X ⟶ Y) :
is_iso f ↔ is_open_immersion f ∧ epi f.1.base :=
⟨λ H, by exactI ⟨infer_instance, infer_instance⟩, λ ⟨h₁, h₂⟩, @@is_open_immersion.to_iso f h₁ h₂⟩
lemma _root_.algebraic_geometry.is_iso_iff_stalk_iso {X Y : Scheme} (f : X ⟶ Y) :
is_iso f ↔ is_iso f.1.base ∧ ∀ x, is_iso (PresheafedSpace.stalk_map f.1 x) :=
begin
rw [is_iso_iff_is_open_immersion, is_open_immersion.iff_stalk_iso, and_comm, ← and_assoc],
refine and_congr ⟨_, _⟩ iff.rfl,
{ rintro ⟨h₁, h₂⟩,
convert_to is_iso (Top.iso_of_homeo (homeomorph.homeomorph_of_continuous_open
(equiv.of_bijective _ ⟨h₂.inj, (Top.epi_iff_surjective _).mp h₁⟩)
h₂.continuous h₂.is_open_map)).hom,
{ ext, refl },
{ apply_instance } },
{ intro H, exactI ⟨infer_instance, (Top.homeo_of_iso (as_iso f.1.base)).open_embedding⟩ }
end
/-- A open immersion induces an isomorphism from the domain onto the image -/
def iso_restrict : X ≅ (Z.restrict H.base_open : _) :=
⟨H.iso_restrict.hom, H.iso_restrict.inv, H.iso_restrict.hom_inv_id, H.iso_restrict.inv_hom_id⟩
include H
local notation `forget` := Scheme.forget_to_LocallyRingedSpace
instance mono : mono f :=
(induced_functor _).mono_of_mono_map (show @mono LocallyRingedSpace _ _ _ f, by apply_instance)
instance forget_map_is_open_immersion : LocallyRingedSpace.is_open_immersion (forget .map f) :=
⟨H.base_open, H.c_iso⟩
instance has_limit_cospan_forget_of_left :
has_limit (cospan f g ⋙ Scheme.forget_to_LocallyRingedSpace) :=
begin
apply has_limit_of_iso (diagram_iso_cospan.{u} _).symm,
change has_limit (cospan (forget .map f) (forget .map g)),
apply_instance
end
open category_theory.limits.walking_cospan
instance has_limit_cospan_forget_of_left' :
has_limit (cospan ((cospan f g ⋙ forget).map hom.inl)
((cospan f g ⋙ forget).map hom.inr)) :=
show has_limit (cospan (forget .map f) (forget .map g)), from infer_instance
instance has_limit_cospan_forget_of_right : has_limit (cospan g f ⋙ forget) :=
begin
apply has_limit_of_iso (diagram_iso_cospan.{u} _).symm,
change has_limit (cospan (forget .map g) (forget .map f)),
apply_instance
end
instance has_limit_cospan_forget_of_right' :
has_limit (cospan ((cospan g f ⋙ forget).map hom.inl)
((cospan g f ⋙ forget).map hom.inr)) :=
show has_limit (cospan (forget .map g) (forget .map f)), from infer_instance
instance forget_creates_pullback_of_left : creates_limit (cospan f g) forget :=
creates_limit_of_fully_faithful_of_iso
(PresheafedSpace.is_open_immersion.to_Scheme Y
(@pullback.snd LocallyRingedSpace _ _ _ _ f g _).1)
(eq_to_iso (by simp) ≪≫ has_limit.iso_of_nat_iso (diagram_iso_cospan _).symm)
instance forget_creates_pullback_of_right : creates_limit (cospan g f) forget :=
creates_limit_of_fully_faithful_of_iso
(PresheafedSpace.is_open_immersion.to_Scheme Y
(@pullback.fst LocallyRingedSpace _ _ _ _ g f _).1)
(eq_to_iso (by simp) ≪≫ has_limit.iso_of_nat_iso (diagram_iso_cospan _).symm)
instance forget_preserves_of_left : preserves_limit (cospan f g) forget :=
category_theory.preserves_limit_of_creates_limit_and_has_limit _ _
instance forget_preserves_of_right : preserves_limit (cospan g f) forget :=
preserves_pullback_symmetry _ _ _
instance has_pullback_of_left : has_pullback f g :=
has_limit_of_created (cospan f g) forget
instance has_pullback_of_right : has_pullback g f :=
has_limit_of_created (cospan g f) forget
instance pullback_snd_of_left : is_open_immersion (pullback.snd : pullback f g ⟶ _) :=
begin
have := preserves_pullback.iso_hom_snd forget f g,
dsimp only [Scheme.forget_to_LocallyRingedSpace, induced_functor_map] at this,
rw ← this,
change LocallyRingedSpace.is_open_immersion _,
apply_instance
end
instance pullback_fst_of_right : is_open_immersion (pullback.fst : pullback g f ⟶ _) :=
begin
rw ← pullback_symmetry_hom_comp_snd,
apply_instance
end
instance pullback_to_base [is_open_immersion g] :
is_open_immersion (limit.π (cospan f g) walking_cospan.one) :=
begin
rw ← limit.w (cospan f g) walking_cospan.hom.inl,
change is_open_immersion (_ ≫ f),
apply_instance
end
instance forget_to_Top_preserves_of_left :
preserves_limit (cospan f g) Scheme.forget_to_Top :=
begin
apply_with limits.comp_preserves_limit { instances := ff },
apply_instance,
apply preserves_limit_of_iso_diagram _ (diagram_iso_cospan.{u} _).symm,
dsimp [LocallyRingedSpace.forget_to_Top],
apply_instance
end
instance forget_to_Top_preserves_of_right :
preserves_limit (cospan g f) Scheme.forget_to_Top := preserves_pullback_symmetry _ _ _
lemma range_pullback_snd_of_left :
set.range (pullback.snd : pullback f g ⟶ Y).1.base =
(opens.map g.1.base).obj ⟨set.range f.1.base, H.base_open.open_range⟩ :=
begin
rw [← (show _ = (pullback.snd : pullback f g ⟶ _).1.base,
from preserves_pullback.iso_hom_snd Scheme.forget_to_Top f g), coe_comp, set.range_comp,
set.range_iff_surjective.mpr,
← @set.preimage_univ _ _ (pullback.fst : pullback f.1.base g.1.base ⟶ _),
Top.pullback_snd_image_fst_preimage, set.image_univ],
refl,
rw ← Top.epi_iff_surjective,
apply_instance
end
lemma range_pullback_fst_of_right :
set.range (pullback.fst : pullback g f ⟶ Y).1.base =
(opens.map g.1.base).obj ⟨set.range f.1.base, H.base_open.open_range⟩ :=
begin
rw [← (show _ = (pullback.fst : pullback g f ⟶ _).1.base,
from preserves_pullback.iso_hom_fst Scheme.forget_to_Top g f), coe_comp, set.range_comp,
set.range_iff_surjective.mpr,
← @set.preimage_univ _ _ (pullback.snd : pullback g.1.base f.1.base ⟶ _),
Top.pullback_fst_image_snd_preimage, set.image_univ],
refl,
rw ← Top.epi_iff_surjective,
apply_instance
end
lemma range_pullback_to_base_of_left :
set.range (pullback.fst ≫ f : pullback f g ⟶ Z).1.base =
set.range f.1.base ∩ set.range g.1.base :=
begin
rw [pullback.condition, Scheme.comp_val_base, coe_comp, set.range_comp,
range_pullback_snd_of_left, opens.map_obj, subtype.coe_mk, set.image_preimage_eq_inter_range,
set.inter_comm],
end
lemma range_pullback_to_base_of_right :
set.range (pullback.fst ≫ g : pullback g f ⟶ Z).1.base =
set.range g.1.base ∩ set.range f.1.base :=
begin
rw [Scheme.comp_val_base, coe_comp, set.range_comp, range_pullback_fst_of_right, opens.map_obj,
subtype.coe_mk, set.image_preimage_eq_inter_range, set.inter_comm],
end
/--
The universal property of open immersions:
For an open immersion `f : X ⟶ Z`, given any morphism of schemes `g : Y ⟶ Z` whose topological
image is contained in the image of `f`, we can lift this morphism to a unique `Y ⟶ X` that
commutes with these maps.
-/
def lift (H' : set.range g.1.base ⊆ set.range f.1.base) : Y ⟶ X :=
LocallyRingedSpace.is_open_immersion.lift f g H'
@[simp, reassoc] lemma lift_fac (H' : set.range g.1.base ⊆ set.range f.1.base) :
lift f g H' ≫ f = g :=
LocallyRingedSpace.is_open_immersion.lift_fac f g H'
lemma lift_uniq (H' : set.range g.1.base ⊆ set.range f.1.base) (l : Y ⟶ X)
(hl : l ≫ f = g) : l = lift f g H' :=
LocallyRingedSpace.is_open_immersion.lift_uniq f g H' l hl
/-- Two open immersions with equal range are isomorphic. -/
@[simps] def iso_of_range_eq [is_open_immersion g] (e : set.range f.1.base = set.range g.1.base) :
X ≅ Y :=
{ hom := lift g f (le_of_eq e),
inv := lift f g (le_of_eq e.symm),
hom_inv_id' := by { rw ← cancel_mono f, simp },
inv_hom_id' := by { rw ← cancel_mono g, simp } }
end is_open_immersion
namespace Scheme
/-- The functor `opens X ⥤ opens Y` associated with an open immersion `f : X ⟶ Y`. -/
abbreviation hom.opens_functor {X Y : Scheme} (f : X ⟶ Y) [H : is_open_immersion f] :
opens X.carrier ⥤ opens Y.carrier := H.open_functor
lemma image_basic_open {X Y : Scheme} (f : X ⟶ Y) [H : is_open_immersion f]
{U : opens X.carrier} (r : X.presheaf.obj (op U)) :
H.base_open.is_open_map.functor.obj (X.basic_open r) = Y.basic_open (H.inv_app U r) :=
begin
have e := Scheme.preimage_basic_open f (H.inv_app U r),
rw [PresheafedSpace.is_open_immersion.inv_app_app_apply, Scheme.basic_open_res,
opens.inter_eq, inf_eq_right.mpr _] at e,
rw ← e,
ext1,
refine set.image_preimage_eq_inter_range.trans _,
erw set.inter_eq_left_iff_subset,
refine set.subset.trans (Scheme.basic_open_subset _ _) (set.image_subset_range _ _),
refine le_trans (Scheme.basic_open_subset _ _) (le_of_eq _),
ext1,
exact (set.preimage_image_eq _ H.base_open.inj).symm
end
/-- The image of an open immersion as an open set. -/
@[simps]
def hom.opens_range {X Y : Scheme} (f : X ⟶ Y) [H : is_open_immersion f] : opens Y.carrier :=
⟨_, H.base_open.open_range⟩
end Scheme
/-- The functor taking open subsets of `X` to open subschemes of `X`. -/
@[simps obj_left obj_hom map_left]
def Scheme.restrict_functor (X : Scheme) : opens X.carrier ⥤ over X :=
{ obj := λ U, over.mk (X.of_restrict U.open_embedding),
map := λ U V i, over.hom_mk (is_open_immersion.lift (X.of_restrict _) (X.of_restrict _)
(by { change set.range coe ⊆ set.range coe, simp_rw [subtype.range_coe], exact i.le }))
(is_open_immersion.lift_fac _ _ _),
map_id' := λ U, by begin
ext1,
dsimp only [over.hom_mk_left, over.id_left],
rw [← cancel_mono (X.of_restrict U.open_embedding), category.id_comp,
is_open_immersion.lift_fac],
end,
map_comp' := λ U V W i j, begin
ext1,
dsimp only [over.hom_mk_left, over.comp_left],
rw [← cancel_mono (X.of_restrict W.open_embedding), category.assoc],
iterate 3 { rw [is_open_immersion.lift_fac] }
end }
/-- The restriction of an isomorphism onto an open set. -/
noncomputable
abbreviation Scheme.restrict_map_iso {X Y : Scheme} (f : X ⟶ Y) [is_iso f] (U : opens Y.carrier) :
X.restrict ((opens.map f.1.base).obj U).open_embedding ≅ Y.restrict U.open_embedding :=
begin
refine is_open_immersion.iso_of_range_eq (X.of_restrict _ ≫ f) (Y.of_restrict _) _,
dsimp [opens.inclusion],
rw [coe_comp, set.range_comp],
dsimp,
rw [subtype.range_coe, subtype.range_coe],
refine @set.image_preimage_eq _ _ f.1.base U.1 _,
rw ← Top.epi_iff_surjective,
apply_instance
end
/-- Given an open cover on `X`, we may pull them back along a morphism `W ⟶ X` to obtain
an open cover of `W`. -/
@[simps]
def Scheme.open_cover.pullback_cover {X : Scheme} (𝒰 : X.open_cover) {W : Scheme} (f : W ⟶ X) :
W.open_cover :=
{ J := 𝒰.J,
obj := λ x, pullback f (𝒰.map x),
map := λ x, pullback.fst,
f := λ x, 𝒰.f (f.1.base x),
covers := λ x, begin
rw ← (show _ = (pullback.fst : pullback f (𝒰.map (𝒰.f (f.1.base x))) ⟶ _).1.base,
from preserves_pullback.iso_hom_fst Scheme.forget_to_Top f
(𝒰.map (𝒰.f (f.1.base x)))),
rw [coe_comp, set.range_comp, set.range_iff_surjective.mpr, set.image_univ,
Top.pullback_fst_range],
obtain ⟨y, h⟩ := 𝒰.covers (f.1.base x),
exact ⟨y, h.symm⟩,
{ rw ← Top.epi_iff_surjective, apply_instance }
end }
lemma Scheme.open_cover.Union_range {X : Scheme} (𝒰 : X.open_cover) :
(⋃ i, set.range (𝒰.map i).1.base) = set.univ :=
begin
rw set.eq_univ_iff_forall,
intros x,
rw set.mem_Union,
exact ⟨𝒰.f x, 𝒰.covers x⟩
end
lemma Scheme.open_cover.compact_space {X : Scheme} (𝒰 : X.open_cover) [finite 𝒰.J]
[H : ∀ i, compact_space (𝒰.obj i).carrier] : compact_space X.carrier :=
begin
casesI nonempty_fintype 𝒰.J,
rw [← is_compact_univ_iff, ← 𝒰.Union_range],
apply compact_Union,
intro i,
rw is_compact_iff_compact_space,
exact @@homeomorph.compact_space _ _ (H i)
(Top.homeo_of_iso (as_iso (is_open_immersion.iso_of_range_eq (𝒰.map i)
(X.of_restrict (opens.open_embedding ⟨_, (𝒰.is_open i).base_open.open_range⟩))
subtype.range_coe.symm).hom.1.base))
end
/-- Given open covers `{ Uᵢ }` and `{ Uⱼ }`, we may form the open cover `{ Uᵢ ∩ Uⱼ }`. -/
def Scheme.open_cover.inter {X : Scheme.{u}} (𝒰₁ : Scheme.open_cover.{v₁} X)
(𝒰₂ : Scheme.open_cover.{v₂} X) : X.open_cover :=
{ J := 𝒰₁.J × 𝒰₂.J,
obj := λ ij, pullback (𝒰₁.map ij.1) (𝒰₂.map ij.2),
map := λ ij, pullback.fst ≫ 𝒰₁.map ij.1,
f := λ x, ⟨𝒰₁.f x, 𝒰₂.f x⟩,
covers := λ x, by { rw is_open_immersion.range_pullback_to_base_of_left,
exact ⟨𝒰₁.covers x, 𝒰₂.covers x⟩ } }
/-- If `U` is a family of open sets that covers `X`, then `X.restrict U` forms an `X.open_cover`. -/
@[simps J obj map]
def Scheme.open_cover_of_supr_eq_top {s : Type*} (X : Scheme) (U : s → opens X.carrier)
(hU : (⨆ i, U i) = ⊤) : X.open_cover :=
{ J := s,
obj := λ i, X.restrict (U i).open_embedding,
map := λ i, X.of_restrict (U i).open_embedding,
f := λ x, begin
have : x ∈ ⨆ i, U i := hU.symm ▸ (show x ∈ (⊤ : opens X.carrier), by triv),
exact (opens.mem_supr.mp this).some,
end,
covers := λ x, begin
erw subtype.range_coe,
have : x ∈ ⨆ i, U i := hU.symm ▸ (show x ∈ (⊤ : opens X.carrier), by triv),
exact (opens.mem_supr.mp this).some_spec,
end }
section morphism_restrict
/-- Given a morphism `f : X ⟶ Y` and an open set `U ⊆ Y`, we have `X ×[Y] U ≅ X |_{f ⁻¹ U}` -/
def pullback_restrict_iso_restrict {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) :
pullback f (Y.of_restrict U.open_embedding) ≅
X.restrict ((opens.map f.1.base).obj U).open_embedding :=
begin
refine is_open_immersion.iso_of_range_eq pullback.fst (X.of_restrict _) _,
rw is_open_immersion.range_pullback_fst_of_right,
dsimp [opens.inclusion],
rw [subtype.range_coe, subtype.range_coe],
refl,
end
@[simp, reassoc]
lemma pullback_restrict_iso_restrict_inv_fst {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) :
(pullback_restrict_iso_restrict f U).inv ≫ pullback.fst = X.of_restrict _ :=
by { delta pullback_restrict_iso_restrict, simp }
@[simp, reassoc]
lemma pullback_restrict_iso_restrict_hom_restrict {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) :
(pullback_restrict_iso_restrict f U).hom ≫ X.of_restrict _ = pullback.fst :=
by { delta pullback_restrict_iso_restrict, simp }
/-- The restriction of a morphism `X ⟶ Y` onto `X |_{f ⁻¹ U} ⟶ Y |_ U`. -/
def morphism_restrict {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) :
X.restrict ((opens.map f.1.base).obj U).open_embedding ⟶ Y.restrict U.open_embedding :=
(pullback_restrict_iso_restrict f U).inv ≫ pullback.snd
infix ` ∣_ `: 80 := morphism_restrict
@[simp, reassoc]
lemma pullback_restrict_iso_restrict_hom_morphism_restrict {X Y : Scheme} (f : X ⟶ Y)
(U : opens Y.carrier) :
(pullback_restrict_iso_restrict f U).hom ≫ f ∣_ U = pullback.snd :=
iso.hom_inv_id_assoc _ _
@[simp, reassoc]
lemma morphism_restrict_ι {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) :
f ∣_ U ≫ Y.of_restrict U.open_embedding = X.of_restrict _ ≫ f :=
by { delta morphism_restrict,
rw [category.assoc, pullback.condition.symm, pullback_restrict_iso_restrict_inv_fst_assoc] }
lemma morphism_restrict_comp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) (U : opens Z.carrier) :
(f ≫ g) ∣_ U = (f ∣_ ((opens.map g.val.base).obj U) ≫ g ∣_ U : _) :=
begin
delta morphism_restrict,
rw ← pullback_right_pullback_fst_iso_inv_snd_snd,
simp_rw ← category.assoc,
congr' 1,
rw ← cancel_mono pullback.fst,
simp_rw category.assoc,
rw [pullback_restrict_iso_restrict_inv_fst, pullback_right_pullback_fst_iso_inv_snd_fst,
← pullback.condition, pullback_restrict_iso_restrict_inv_fst_assoc,
pullback_restrict_iso_restrict_inv_fst_assoc],
refl,
apply_instance
end
instance {X Y : Scheme} (f : X ⟶ Y) [is_iso f] (U : opens Y.carrier) : is_iso (f ∣_ U) :=
by { delta morphism_restrict, apply_instance }
lemma morphism_restrict_base_coe {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) (x) :
@coe U Y.carrier _ ((f ∣_ U).1.base x) = f.1.base x.1 :=
congr_arg (λ f, PresheafedSpace.hom.base (LocallyRingedSpace.hom.val f) x) (morphism_restrict_ι f U)
lemma image_morphism_restrict_preimage {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier)
(V : opens U) :
((opens.map f.val.base).obj U).open_embedding.is_open_map.functor.obj
((opens.map (f ∣_ U).val.base).obj V) =
(opens.map f.val.base).obj (U.open_embedding.is_open_map.functor.obj V) :=
begin
ext1,
ext x,
split,
{ rintro ⟨⟨x, hx⟩, (hx' : (f ∣_ U).1.base _ ∈ _), rfl⟩,
refine ⟨⟨_, hx⟩, _, rfl⟩,
convert hx',
ext1,
exact (morphism_restrict_base_coe f U ⟨x, hx⟩).symm },
{ rintro ⟨⟨x, hx⟩, hx', (rfl : x = _)⟩,
refine ⟨⟨_, hx⟩, (_: ((f ∣_ U).1.base ⟨x, hx⟩) ∈ V.1), rfl⟩,
convert hx',
ext1,
exact morphism_restrict_base_coe f U ⟨x, hx⟩ }
end
lemma morphism_restrict_c_app {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) (V : opens U) :
(f ∣_ U).1.c.app (op V) = f.1.c.app (op (U.open_embedding.is_open_map.functor.obj V)) ≫
X.presheaf.map (eq_to_hom (image_morphism_restrict_preimage f U V)).op :=
begin
have := Scheme.congr_app (morphism_restrict_ι f U)
(op (U.open_embedding.is_open_map.functor.obj V)),
rw [Scheme.comp_val_c_app, Scheme.comp_val_c_app_assoc] at this,
have e : (opens.map U.inclusion).obj (U.open_embedding.is_open_map.functor.obj V) = V,
{ ext1, exact set.preimage_image_eq _ subtype.coe_injective },
have : _ ≫ X.presheaf.map _ = _ :=
(((f ∣_ U).1.c.naturality (eq_to_hom e).op).symm.trans _).trans this,
swap, { change Y.presheaf.map _ ≫ _ = Y.presheaf.map _ ≫ _, congr, },
rw [← is_iso.eq_comp_inv, ← functor.map_inv, category.assoc] at this,
rw this,
congr' 1,
erw [← X.presheaf.map_comp, ← X.presheaf.map_comp],
congr' 1,
end
lemma Γ_map_morphism_restrict {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) :
Scheme.Γ.map (f ∣_ U).op = Y.presheaf.map (eq_to_hom $ U.open_embedding_obj_top.symm).op ≫
f.1.c.app (op U) ≫
X.presheaf.map (eq_to_hom $ ((opens.map f.val.base).obj U).open_embedding_obj_top).op :=
begin
rw [Scheme.Γ_map_op, morphism_restrict_c_app f U ⊤, f.val.c.naturality_assoc],
erw ← X.presheaf.map_comp,
congr,
end
/-- Restricting a morphism onto the the image of an open immersion is isomorphic to the base change
along the immersion. -/
def morphism_restrict_opens_range
{X Y U : Scheme} (f : X ⟶ Y) (g : U ⟶ Y) [hg : is_open_immersion g] :
arrow.mk (f ∣_ g.opens_range) ≅ arrow.mk (pullback.snd : pullback f g ⟶ _) :=
begin
let V : opens Y.carrier := g.opens_range,
let e := is_open_immersion.iso_of_range_eq g (Y.of_restrict V.open_embedding)
(by exact subtype.range_coe.symm),
let t : pullback f g ⟶ pullback f (Y.of_restrict V.open_embedding) :=
pullback.map _ _ _ _ (𝟙 _) e.hom (𝟙 _) (by rw [category.comp_id, category.id_comp])
(by rw [category.comp_id, is_open_immersion.iso_of_range_eq_hom, is_open_immersion.lift_fac]),
symmetry,
refine arrow.iso_mk (as_iso t ≪≫ pullback_restrict_iso_restrict f V) e _,
rw [iso.trans_hom, as_iso_hom, ← iso.comp_inv_eq, ← cancel_mono g, arrow.mk_hom, arrow.mk_hom,
is_open_immersion.iso_of_range_eq_inv, category.assoc, category.assoc, category.assoc,
is_open_immersion.lift_fac, ← pullback.condition, morphism_restrict_ι,
pullback_restrict_iso_restrict_hom_restrict_assoc, pullback.lift_fst_assoc, category.comp_id],
end
/-- The restrictions onto two equal open sets are isomorphic. This currently has bad defeqs when
unfolded, but it should not matter for now. Replace this definition if better defeqs are needed. -/
def morphism_restrict_eq {X Y : Scheme} (f : X ⟶ Y) {U V : opens Y.carrier} (e : U = V) :
arrow.mk (f ∣_ U) ≅ arrow.mk (f ∣_ V) := eq_to_iso (by subst e)
/-- Restricting a morphism twice is isomorpic to one restriction. -/
def morphism_restrict_restrict {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) (V : opens U) :
arrow.mk (f ∣_ U ∣_ V) ≅ arrow.mk (f ∣_ (U.open_embedding.is_open_map.functor.obj V)) :=
begin
have : (f ∣_ U ∣_ V) ≫ (iso.refl _).hom =
(as_iso $ (pullback_restrict_iso_restrict (f ∣_ U) V).inv ≫ (pullback_symmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _)
((pullback_restrict_iso_restrict f U).inv ≫ (pullback_symmetry _ _).hom) (𝟙 _)
((category.comp_id _).trans (category.id_comp _).symm) (by simpa) ≫
(pullback_right_pullback_fst_iso _ _ _).hom ≫ (pullback_symmetry _ _).hom).hom ≫ pullback.snd,
{ simpa only [category.comp_id, pullback_right_pullback_fst_iso_hom_fst, iso.refl_hom,
category.assoc, pullback_symmetry_hom_comp_snd, as_iso_hom, pullback.lift_fst,
pullback_symmetry_hom_comp_fst] },
refine arrow.iso_mk' _ _ _ _ this.symm ≪≫ (morphism_restrict_opens_range _ _).symm ≪≫
morphism_restrict_eq _ _,
ext1,
dsimp,
rw [coe_comp, set.range_comp],
congr,
exact subtype.range_coe,
end
/-- Restricting a morphism twice onto a basic open set is isomorphic to one restriction. -/
def morphism_restrict_restrict_basic_open {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier)
(r : Y.presheaf.obj (op U)) :
arrow.mk (f ∣_ U ∣_ (Y.restrict _).basic_open
(Y.presheaf.map (eq_to_hom U.open_embedding_obj_top).op r)) ≅ arrow.mk (f ∣_ Y.basic_open r) :=
begin
refine morphism_restrict_restrict _ _ _ ≪≫ morphism_restrict_eq _ _,
have e := Scheme.preimage_basic_open (Y.of_restrict U.open_embedding) r,
erw [Scheme.of_restrict_val_c_app, opens.adjunction_counit_app_self, eq_to_hom_op] at e,
rw [← (Y.restrict U.open_embedding).basic_open_res_eq _
(eq_to_hom U.inclusion_map_eq_top).op, ← comp_apply],
erw ← Y.presheaf.map_comp,
rw [eq_to_hom_op, eq_to_hom_op, eq_to_hom_map, eq_to_hom_trans],
erw ← e,
ext1, dsimp [opens.map, opens.inclusion],
rw [set.image_preimage_eq_inter_range, set.inter_eq_left_iff_subset, subtype.range_coe],
exact Y.basic_open_subset r
end
instance {X Y : Scheme} (f : X ⟶ Y) (U : opens Y.carrier) [is_open_immersion f] :
is_open_immersion (f ∣_ U) :=
by { delta morphism_restrict, apply_instance }
end morphism_restrict
end algebraic_geometry
|
9f429a1e996de7225763b566756d117178daed88 | b32d3853770e6eaf06817a1b8c52064baaed0ef1 | /test/test.lean | 970d99a2e36d32d2e2032cecea92876c0a348a11 | [] | no_license | gebner/super2 | 4d58b7477b6f7d945d5d866502982466db33ab0b | 9bc5256c31750021ab97d6b59b7387773e54b384 | refs/heads/master | 1,635,021,682,021 | 1,634,886,326,000 | 1,634,886,326,000 | 225,600,688 | 4 | 2 | null | 1,598,209,306,000 | 1,575,371,550,000 | Lean | UTF-8 | Lean | false | false | 581 | lean | import super
set_option trace.super true
set_option profiler true
lemma foo (p : ℕ → Prop) (h1 : ∀ x, ¬ p x) : ∃ x, ¬ p (x + 1) :=
by super *
lemma bar (p : ℕ → Prop) : p 0 → (∀ x, p x → p (x + 1)) → p 10 :=
by super
lemma exst {α} (h : ∃ x : α, x = x) : true :=
by super *
lemma and_false' (h : ∃ w : ℕ, ∀ x : ℕ, w = x ∧ false) : false :=
by super *
lemma baz (a b c : ℕ) : a + (b + c) = (a + b) + c :=
by super [add_assoc, add_zero, add_comm]
example (y : ℕ) : 0 + y = y + 0 :=
by super [add_zero, zero_add]
#print foo
#print baz
|
b264f1d492fc91c9fe913382b67285341fbc3f88 | b12fedd6f2d718a9a3bf95f8eeb27d592548c935 | /xenalib/scheme.lean | c49eb2c6325fcda80d78d0c94d1b694b3c074e83 | [] | no_license | EllenArlt/xena | 014727beff556fdc8e844f1c9a06bf399fd752a0 | e372c75f1d59929aef750ce70448153c4b675760 | refs/heads/master | 1,630,567,635,968 | 1,514,648,885,000 | 1,514,648,885,000 | 115,862,301 | 0 | 0 | null | 1,515,693,953,000 | 1,514,723,974,000 | Lean | UTF-8 | Lean | false | false | 8,582 | lean | import analysis.topology.topological_space data.set
universes u v
structure ring_morphism (α : Type u) (β : Type v) (Ra : comm_ring α) (Rb : comm_ring β) :=
(f : α → β)
(f_zero : f 0 = 0)
(f_one : f 1 = 1)
(f_add : ∀ {a₁ a₂ : α}, f (a₁ + a₂) = f a₁ + f a₂)
(f_mul : ∀ {a₁ a₂ : α}, f (a₁ * a₂) = f a₁ * f a₂)
structure presheaf_of_rings (α : Type u) [T : topological_space α]
(F : Π U : set α, T.is_open U → Type) :=
[Fring : ∀ U O, comm_ring (F U O)]
(res : ∀ (U V : set α) (OU : T.is_open U) (OV : T.is_open V) (H : V ⊆ U),
ring_morphism (F U OU) (F V OV) (Fring U OU) (Fring V OV))
(Hid : ∀ (U : set α) (OU : T.is_open U), (res U U OU OU (set.subset.refl _)).f = id)
(Hcomp : ∀ (U V W : set α) (OU : T.is_open U) (OV : T.is_open V) (OW : T.is_open W)
(HUV : V ⊆ U) (HVW : W ⊆ V),
(res U W OU OW (set.subset.trans HVW HUV)).f = (res V W OV OW HVW).f ∘ (res U V OU OV HUV).f )
def inter {α : Type u} [ T : topological_space α] (U V : {U : set α // T.is_open U})
: {U : set α // T.is_open U} :=
begin
let W : set α := U.val ∩ V.val,
have W_is_open : T.is_open W := T.is_open_inter U.1 V.1 U.2 V.2,
exact ⟨W,W_is_open⟩,
end
lemma inter_sub_left {α : Type u} [T : topological_space α]
(U V : {U : set α // T.is_open U}) : (inter U V).1 ⊆ U.1 :=
λ x Hx,Hx.left
lemma inter_sub_right {α : Type u} [T : topological_space α]
(U V : {U : set α // T.is_open U}) : (inter U V).1 ⊆ V.1 :=
λ x Hx,Hx.right
def res_to_inter_left {α : Type u} [T : topological_space α]
(F : Π U : set α, T.is_open U → Type)
(FP : presheaf_of_rings α F)
(U V : set α) (OU : T.is_open U) (OV : T.is_open V) :
ring_morphism (F U OU) (F (U ∩ V) (T.is_open_inter U V OU OV)) (FP.Fring _ _) (FP.Fring _ _):=
begin
let W := U ∩ V,
exact (FP.res U W OU _ (set.inter_subset_left U V))
end
def res_to_inter_right {α : Type u} [T : topological_space α]
(F : Π U : set α, T.is_open U → Type)
(FP : presheaf_of_rings α F)
(U V : set α) (OU:...)
({U : set α // T.is_open U}) : ring_morphism _ _ _ _ :=
begin
let W := inter U V,
exact (FP.res V W (inter_sub_right U V))
end
lemma cov_is_subs {α : Type u} [T : topological_space α]
(U : {U : set α // T.is_open U})
{γ : Type v} (Ui : γ → {U : set α // T.is_open U})
(Hcov : (⋃ (x : γ), (Ui x).1) = U.1) : ∀ x : γ, (Ui x).1 ⊆ U.1 :=
begin
have H₁ : (⋃ (x : γ), (Ui x).1) ⊆ U.1,
{ rw Hcov,
exact set.subset.refl _ },
have H₂ := set.Union_subset_iff.1 H₁,
exact H₂,
end
def gluing {α : Type u} [T : topological_space α] (FP : presheaf_of_rings α)
(U : {U : set α // T.is_open U})
{γ : Type v} (Ui : γ → {U : set α // T.is_open U})
(Hcov : (⋃ (x : γ), (Ui x).1) = U.1) :
(FP.F U) → {a : (Π (x : γ), (FP.F (Ui x))) | ∀ (x y : γ),
(res_to_inter_left FP (Ui x) (Ui y)).f (a x) =
(res_to_inter_right FP (Ui x) (Ui y)).f (a y)} :=
begin
intro r,
existsi (λ x,(FP.res U (Ui x) (cov_is_subs U Ui Hcov x)).f r),
intros x₁ y₁,
show (
(FP.res (Ui x₁) (inter (Ui x₁) (Ui y₁)) _).f ∘ (FP.res U (Ui x₁) _).f) r =
((FP.res (Ui y₁) (inter (Ui x₁) (Ui y₁)) _).f ∘ (FP.res U (Ui y₁) _).f) r,
rw [←(FP.Hcomp (cov_is_subs U Ui Hcov x₁) (inter_sub_left (Ui x₁) (Ui y₁)))],
rw [←(FP.Hcomp (cov_is_subs U Ui Hcov y₁) (inter_sub_right (Ui x₁) (Ui y₁)))],
end
structure sheaf_of_rings (α : Type u) [T : topological_space α] :=
(FP : presheaf_of_rings α)
(Fsheaf : ∀ (U : {U : set α // T.is_open U})
{γ : Type} (Ui : γ → {U : set α // T.is_open U})
(Hcov : (⋃ (x : γ), (Ui x).1) = U.1),
function.bijective (gluing FP U Ui Hcov)
)
structure ideal (R : Type u) [RR : comm_ring R] :=
(I_set : set R)
(I_zero : RR.zero ∈ I_set)
(I_ab_group : ∀ a b : R, a ∈ I_set → b ∈ I_set → a-b ∈ I_set)
(I_module : ∀ (r : R) (i ∈ I_set), r*i ∈ I_set)
/-
Mario said: "ring_morphism: make Ra and Rb instance implicit" -- try this later
Uncurrying will save you the trouble of stuff like def inter and
inter_sub_left which are duplicates of existing theorems
Note that you can mark fields as instance implicit too
and by make F a parameter I meant this
structure presheaf_of_rings (α : Type u) [topological_space α] (F : Π U : set α, is_open U → Type) :=
[Fring : ∀ U O, comm_ring (F U O)]
It's good for the digestion if you've had too much curry
why don't you use add_comm_group?
Re: ideal, you should have a is_subgroup predicate for asserting that I is closed under group operations for this
It should be similar to is_submodule in algebra/module
Mario Carneiro
@digama0
05:26
with now no clue as to how to figure out that F U is a ring
Whenever you are trying to make a typeclass instance solvable, you need to add an instance keyed to the form of the thing being inferred. If it's FP.F then this is easy, just have a theorem like instance : comm_ring (FP.F U O) or whatever
If it's a parameter, the comm_ring part will also need to be a parameter, so it shows up in the local context of all such theorems (or else it is derivable from something in the context that only depends on F)
I might also suggest removing the is_open parameter from F entirely, but I don't
know if that will interfere with some construction or another since that's not an
isomorphic modification (seeing as how partial functions are not nice to work
with in practice)
and by make F a parameter I meant this
structure presheaf_of_rings (α : Type u) [topological_space α] (F : Π U : set α, is_open U → Type) :=
[Fring : ∀ U O, comm_ring (F U O)]
It's good for the digestion if you've had too much curry
why don't you use add_comm_group?
Re: ideal, you should have a is_subgroup predicate for asserting that I is closed under group operations for this
It should be similar to is_submodule in algebra/module
Mario Carneiro
@digama0
05:26
with now no clue as to how to figure out that F U is a ring
Whenever you are trying to make a typeclass instance solvable, you need to add an instance keyed to the form of the thing being inferred. If it's FP.F then this is easy, just have a theorem like instance : comm_ring (FP.F U O) or whatever
If it's a parameter, the comm_ring part will also need to be a parameter, so it shows up in the local context of all such theorems (or else it is derivable from something in the context that only depends on F)
Patrick Massot
@PatrickMassot
14:43
I think the question of how to define something as composite as a sheaf and not be buried under cumbersome notations and explicit arguments is crucial. Here my try at reducing the mess a bit:
variables (α : Type u) [T : topological_space α]
include T
def open_sets := {U : set α // T.is_open U}
instance open_inter : has_inter (open_sets α):=
⟨λ U V, ⟨U.1 ∩ V.1, T.is_open_inter U.1 V.1 U.2 V.2⟩⟩
instance open_subset : has_subset (open_sets α) :=
⟨λ U V, U.1 ⊆ V.1⟩
lemma inter_sub_left (U V : open_sets α) : U ∩ V ⊆ U :=
λ x Hx,Hx.left
lemma inter_sub_right (U V : open_sets α) : U ∩ V ⊆ V :=
λ x Hx,Hx.right
structure presheaf_of_rings :=
(F : open_sets α → Type)
[Fring : ∀ U, comm_ring (F U)]
(res : ∀ (U V : open_sets α) (H : V ⊆ U),
@ring_morphism (F U) (F V) (Fring U) (Fring V))
(Hid : ∀ {U : open_sets α}, (res U U (set.subset.refl _)).f = id)
(Hcomp : ∀ {U V W : open_sets α} (HUV : V ⊆ U) (HVW : W ⊆ V),
(res U W (set.subset.trans HVW HUV)).f = (res V W HVW).f ∘ (res U V HUV).f )
instance presheaf_ring (FP: presheaf_of_rings α) (U : open_sets α): comm_ring (FP.F U) :=
FP.Fring U
variables U V : open_sets α
def res_to_inter_left (FP : presheaf_of_rings α)
(U V : open_sets α) : ring_morphism (FP.F U) (FP.F (U ∩ V)) :=
FP.res U (U ∩ V) (inter_sub_left α U V)
def res_to_inter_right (FP : presheaf_of_rings α)
(U V : open_sets α) : ring_morphism (FP.F V) (FP.F (U ∩ V)) :=
FP.res V (U ∩ V) (inter_sub_right α U V)
Here it seems enough to have α explicit everywhere but T implicit.
I should have said that I have:
structure ring_morphism (α : Type u) (β : Type v) [Ra : comm_ring α] [Rb : comm_ring β]
in the definition of morphisms
In the definition of presheaf I need to give the instances explicitly but then in res_to_inter_* I don't
thanks to presheaf_ring
Patrick Massot
@PatrickMassot
14:50
I don't how many theorem you unlock by providing has_inter and has_subset instances. But at least you get convenient notations
-/ |
6687e55f279218037cd3a7bd778b41351b4f2043 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/run/anonymous_param.lean | bc0061bdef0de0993c68601a851cbbcfb972bc3a | [
"Apache-2.0"
] | permissive | bre7k30/lean | de893411bcfa7b3c5572e61b9e1c52951b310aa4 | 5a924699d076dab1bd5af23a8f910b433e598d7a | refs/heads/master | 1,610,900,145,817 | 1,488,006,845,000 | 1,488,006,845,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 124 | lean | check λ _, nat
check λ (_ _ : nat), nat
check λ _ _ : nat, nat
check (λ _, 0 : nat → nat)
def f (_ : nat) : nat :=
0
|
5832a1e955254ba94eea543d9aa8d023b9c915a6 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/nativeReflBackdoor.lean | 555c697d619b30e81ea77ff15ac2b93162e32369 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 1,011 | lean | --
/-
This example demonstratea that when we are using `native_decide`,
we are also trusting the correctness of `implemented_by` annotations,
foreign functions (i.e., `[extern]` annotations), etc.
-/
def g (b : Bool) := false
/-
The following `implemented_by` is telling the compiler
"trust me, `g` does implement `f`"
which is clearly false in this example.
-/
@[implemented_by g]
def f (b : Bool) := b
theorem fConst (b : Bool) : f b = false :=
match b with
| true =>
/- The following `native_decide` is going to use `g` to evaluate `f`
because of the `implemented_by` directive. -/
have : (f true) = false := by native_decide
this
| false => rfl
theorem trueEqFalse : true = false :=
have h₁ : f true = true := rfl;
have h₂ : f true = false := fConst true;
Eq.trans h₁.symm h₂
/-
We managed to prove `False` using the unsound annotation `implemented_by` above.
-/
theorem unsound : False :=
Bool.noConfusion trueEqFalse
#print axioms unsound -- axiom 'Lean.ofReduceBool' is listed
|
ed6d05d1137c96c117f57411915d2907a976993e | 94e33a31faa76775069b071adea97e86e218a8ee | /src/algebra/order/monoid_lemmas.lean | e2612bc064c162d10d76bd35d60951a94ecccd81 | [
"Apache-2.0"
] | permissive | urkud/mathlib | eab80095e1b9f1513bfb7f25b4fa82fa4fd02989 | 6379d39e6b5b279df9715f8011369a301b634e41 | refs/heads/master | 1,658,425,342,662 | 1,658,078,703,000 | 1,658,078,703,000 | 186,910,338 | 0 | 0 | Apache-2.0 | 1,568,512,083,000 | 1,557,958,709,000 | Lean | UTF-8 | Lean | false | false | 43,840 | lean | /-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Mario Carneiro, Johannes Hölzl, Damiano Testa,
Yuyang Zhao
-/
import algebra.covariant_and_contravariant
import order.monotone
/-!
# Ordered monoids
This file develops the basics of ordered monoids.
## Implementation details
Unfortunately, the number of `'` appended to lemmas in this file
may differ between the multiplicative and the additive version of a lemma.
The reason is that we did not want to change existing names in the library.
## Remark
Almost no monoid is actually present in this file: most assumptions have been generalized to
`has_mul` or `mul_one_class`.
-/
-- TODO: If possible, uniformize lemma names, taking special care of `'`,
-- after the `ordered`-refactor is done.
open function
variables {α β : Type*}
section has_mul
variables [has_mul α]
section has_le
variables [has_le α]
/- The prime on this lemma is present only on the multiplicative version. The unprimed version
is taken by the analogous lemma for semiring, with an extra non-negativity assumption. -/
@[to_additive add_le_add_left]
lemma mul_le_mul_left' [covariant_class α α (*) (≤)]
{b c : α} (bc : b ≤ c) (a : α) :
a * b ≤ a * c :=
covariant_class.elim _ bc
@[to_additive le_of_add_le_add_left]
lemma le_of_mul_le_mul_left' [contravariant_class α α (*) (≤)]
{a b c : α} (bc : a * b ≤ a * c) :
b ≤ c :=
contravariant_class.elim _ bc
/- The prime on this lemma is present only on the multiplicative version. The unprimed version
is taken by the analogous lemma for semiring, with an extra non-negativity assumption. -/
@[to_additive add_le_add_right]
lemma mul_le_mul_right' [covariant_class α α (swap (*)) (≤)]
{b c : α} (bc : b ≤ c) (a : α) :
b * a ≤ c * a :=
covariant_class.elim a bc
@[to_additive le_of_add_le_add_right]
lemma le_of_mul_le_mul_right' [contravariant_class α α (swap (*)) (≤)]
{a b c : α} (bc : b * a ≤ c * a) :
b ≤ c :=
contravariant_class.elim a bc
@[simp, to_additive]
lemma mul_le_mul_iff_left [covariant_class α α (*) (≤)] [contravariant_class α α (*) (≤)]
(a : α) {b c : α} :
a * b ≤ a * c ↔ b ≤ c :=
rel_iff_cov α α (*) (≤) a
@[simp, to_additive]
lemma mul_le_mul_iff_right
[covariant_class α α (swap (*)) (≤)] [contravariant_class α α (swap (*)) (≤)]
(a : α) {b c : α} :
b * a ≤ c * a ↔ b ≤ c :=
rel_iff_cov α α (swap (*)) (≤) a
end has_le
section has_lt
variables [has_lt α]
@[simp, to_additive]
lemma mul_lt_mul_iff_left [covariant_class α α (*) (<)] [contravariant_class α α (*) (<)]
(a : α) {b c : α} :
a * b < a * c ↔ b < c :=
rel_iff_cov α α (*) (<) a
@[simp, to_additive]
lemma mul_lt_mul_iff_right
[covariant_class α α (swap (*)) (<)] [contravariant_class α α (swap (*)) (<)]
(a : α) {b c : α} :
b * a < c * a ↔ b < c :=
rel_iff_cov α α (swap (*)) (<) a
@[to_additive add_lt_add_left]
lemma mul_lt_mul_left' [covariant_class α α (*) (<)]
{b c : α} (bc : b < c) (a : α) :
a * b < a * c :=
covariant_class.elim _ bc
@[to_additive lt_of_add_lt_add_left]
lemma lt_of_mul_lt_mul_left' [contravariant_class α α (*) (<)]
{a b c : α} (bc : a * b < a * c) :
b < c :=
contravariant_class.elim _ bc
@[to_additive add_lt_add_right]
lemma mul_lt_mul_right' [covariant_class α α (swap (*)) (<)]
{b c : α} (bc : b < c) (a : α) :
b * a < c * a :=
covariant_class.elim a bc
@[to_additive lt_of_add_lt_add_right]
lemma lt_of_mul_lt_mul_right' [contravariant_class α α (swap (*)) (<)]
{a b c : α} (bc : b * a < c * a) :
b < c :=
contravariant_class.elim a bc
end has_lt
section preorder
variables [preorder α]
@[to_additive]
lemma mul_lt_mul_of_lt_of_lt [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (<)]
{a b c d : α} (h₁ : a < b) (h₂ : c < d) : a * c < b * d :=
calc a * c < a * d : mul_lt_mul_left' h₂ a
... < b * d : mul_lt_mul_right' h₁ d
alias add_lt_add_of_lt_of_lt ← add_lt_add
@[to_additive]
lemma mul_lt_mul_of_le_of_lt [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h₁ : a ≤ b) (h₂ : c < d) : a * c < b * d :=
(mul_le_mul_right' h₁ _).trans_lt (mul_lt_mul_left' h₂ b)
@[to_additive]
lemma mul_lt_mul_of_lt_of_le [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (<)]
{a b c d : α} (h₁ : a < b) (h₂ : c ≤ d) : a * c < b * d :=
(mul_le_mul_left' h₂ _).trans_lt (mul_lt_mul_right' h₁ d)
/-- Only assumes left strict covariance. -/
@[to_additive "Only assumes left strict covariance"]
lemma left.mul_lt_mul [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h₁ : a < b) (h₂ : c < d) : a * c < b * d :=
mul_lt_mul_of_le_of_lt h₁.le h₂
/-- Only assumes right strict covariance. -/
@[to_additive "Only assumes right strict covariance"]
lemma right.mul_lt_mul [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (<)]
{a b c d : α} (h₁ : a < b) (h₂ : c < d) : a * c < b * d :=
mul_lt_mul_of_lt_of_le h₁ h₂.le
@[to_additive add_le_add]
lemma mul_le_mul' [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h₁ : a ≤ b) (h₂ : c ≤ d) : a * c ≤ b * d :=
(mul_le_mul_left' h₂ _).trans (mul_le_mul_right' h₁ d)
@[to_additive]
lemma mul_le_mul_three [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
{a b c d e f : α} (h₁ : a ≤ d) (h₂ : b ≤ e) (h₃ : c ≤ f) :
a * b * c ≤ d * e * f :=
mul_le_mul' (mul_le_mul' h₁ h₂) h₃
@[to_additive]
lemma mul_lt_of_mul_lt_left [covariant_class α α (*) (≤)]
{a b c d : α} (h : a * b < c) (hle : d ≤ b) :
a * d < c :=
(mul_le_mul_left' hle a).trans_lt h
@[to_additive]
lemma mul_le_of_mul_le_left [covariant_class α α (*) (≤)]
{a b c d : α} (h : a * b ≤ c) (hle : d ≤ b) :
a * d ≤ c :=
@act_rel_of_rel_of_act_rel _ _ _ (≤) _ ⟨λ _ _ _, le_trans⟩ a _ _ _ hle h
@[to_additive]
lemma mul_lt_of_mul_lt_right [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h : a * b < c) (hle : d ≤ a) :
d * b < c :=
(mul_le_mul_right' hle b).trans_lt h
@[to_additive]
lemma mul_le_of_mul_le_right [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h : a * b ≤ c) (hle : d ≤ a) :
d * b ≤ c :=
(mul_le_mul_right' hle b).trans h
@[to_additive]
lemma lt_mul_of_lt_mul_left [covariant_class α α (*) (≤)]
{a b c d : α} (h : a < b * c) (hle : c ≤ d) :
a < b * d :=
h.trans_le (mul_le_mul_left' hle b)
@[to_additive]
lemma le_mul_of_le_mul_left [covariant_class α α (*) (≤)]
{a b c d : α} (h : a ≤ b * c) (hle : c ≤ d) :
a ≤ b * d :=
@rel_act_of_rel_of_rel_act _ _ _ (≤) _ ⟨λ _ _ _, le_trans⟩ b _ _ _ hle h
@[to_additive]
lemma lt_mul_of_lt_mul_right [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h : a < b * c) (hle : b ≤ d) :
a < d * c :=
h.trans_le (mul_le_mul_right' hle c)
@[to_additive]
lemma le_mul_of_le_mul_right [covariant_class α α (swap (*)) (≤)]
{a b c d : α} (h : a ≤ b * c) (hle : b ≤ d) :
a ≤ d * c :=
h.trans (mul_le_mul_right' hle c)
end preorder
section partial_order
variables [partial_order α]
@[to_additive]
lemma mul_left_cancel'' [contravariant_class α α (*) (≤)]
{a b c : α} (h : a * b = a * c) :
b = c :=
(le_of_mul_le_mul_left' h.le).antisymm (le_of_mul_le_mul_left' h.ge)
@[to_additive]
lemma mul_right_cancel'' [contravariant_class α α (swap (*)) (≤)]
{a b c : α} (h : a * b = c * b) :
a = c :=
le_antisymm (le_of_mul_le_mul_right' h.le) (le_of_mul_le_mul_right' h.ge)
end partial_order
end has_mul
-- using one
section mul_one_class
variables [mul_one_class α]
section has_le
variables [has_le α]
@[to_additive le_add_of_nonneg_right]
lemma le_mul_of_one_le_right' [covariant_class α α (*) (≤)]
{a b : α} (h : 1 ≤ b) :
a ≤ a * b :=
calc a = a * 1 : (mul_one a).symm
... ≤ a * b : mul_le_mul_left' h a
@[to_additive add_le_of_nonpos_right]
lemma mul_le_of_le_one_right' [covariant_class α α (*) (≤)]
{a b : α} (h : b ≤ 1) :
a * b ≤ a :=
calc a * b ≤ a * 1 : mul_le_mul_left' h a
... = a : mul_one a
@[to_additive le_add_of_nonneg_left]
lemma le_mul_of_one_le_left' [covariant_class α α (swap (*)) (≤)]
{a b : α} (h : 1 ≤ b) :
a ≤ b * a :=
calc a = 1 * a : (one_mul a).symm
... ≤ b * a : mul_le_mul_right' h a
@[to_additive add_le_of_nonpos_left]
lemma mul_le_of_le_one_left' [covariant_class α α (swap (*)) (≤)]
{a b : α} (h : b ≤ 1) :
b * a ≤ a :=
calc b * a ≤ 1 * a : mul_le_mul_right' h a
... = a : one_mul a
@[simp, to_additive le_add_iff_nonneg_right]
lemma le_mul_iff_one_le_right'
[covariant_class α α (*) (≤)] [contravariant_class α α (*) (≤)]
(a : α) {b : α} :
a ≤ a * b ↔ 1 ≤ b :=
iff.trans (by rw [mul_one]) (mul_le_mul_iff_left a)
@[simp, to_additive le_add_iff_nonneg_left]
lemma le_mul_iff_one_le_left'
[covariant_class α α (swap (*)) (≤)] [contravariant_class α α (swap (*)) (≤)]
(a : α) {b : α} :
a ≤ b * a ↔ 1 ≤ b :=
iff.trans (by rw one_mul) (mul_le_mul_iff_right a)
@[simp, to_additive add_le_iff_nonpos_right]
lemma mul_le_iff_le_one_right'
[covariant_class α α (*) (≤)] [contravariant_class α α (*) (≤)]
(a : α) {b : α} :
a * b ≤ a ↔ b ≤ 1 :=
iff.trans (by rw [mul_one]) (mul_le_mul_iff_left a)
@[simp, to_additive add_le_iff_nonpos_left]
lemma mul_le_iff_le_one_left'
[covariant_class α α (swap (*)) (≤)] [contravariant_class α α (swap (*)) (≤)]
{a b : α} :
a * b ≤ b ↔ a ≤ 1 :=
iff.trans (by rw one_mul) (mul_le_mul_iff_right b)
end has_le
section has_lt
variable [has_lt α]
@[to_additive lt_add_of_pos_right]
lemma lt_mul_of_one_lt_right' [covariant_class α α (*) (<)]
(a : α) {b : α} (h : 1 < b) :
a < a * b :=
calc a = a * 1 : (mul_one a).symm
... < a * b : mul_lt_mul_left' h a
@[to_additive add_lt_of_neg_right]
lemma mul_lt_of_lt_one_right' [covariant_class α α (*) (<)]
(a : α) {b : α} (h : b < 1) :
a * b < a :=
calc a * b < a * 1 : mul_lt_mul_left' h a
... = a : mul_one a
@[to_additive lt_add_of_pos_left]
lemma lt_mul_of_one_lt_left' [covariant_class α α (swap (*)) (<)]
(a : α) {b : α} (h : 1 < b) :
a < b * a :=
calc a = 1 * a : (one_mul a).symm
... < b * a : mul_lt_mul_right' h a
@[to_additive add_lt_of_neg_left]
lemma mul_lt_of_lt_one_left' [covariant_class α α (swap (*)) (<)]
(a : α) {b : α} (h : b < 1) :
b * a < a :=
calc b * a < 1 * a : mul_lt_mul_right' h a
... = a : one_mul a
@[simp, to_additive lt_add_iff_pos_right]
lemma lt_mul_iff_one_lt_right'
[covariant_class α α (*) (<)] [contravariant_class α α (*) (<)]
(a : α) {b : α} :
a < a * b ↔ 1 < b :=
iff.trans (by rw mul_one) (mul_lt_mul_iff_left a)
@[simp, to_additive lt_add_iff_pos_left]
lemma lt_mul_iff_one_lt_left'
[covariant_class α α (swap (*)) (<)] [contravariant_class α α (swap (*)) (<)]
(a : α) {b : α} :
a < b * a ↔ 1 < b :=
iff.trans (by rw one_mul) (mul_lt_mul_iff_right a)
@[simp, to_additive add_lt_iff_neg_left]
lemma mul_lt_iff_lt_one_left'
[covariant_class α α (*) (<)] [contravariant_class α α (*) (<)]
{a b : α} :
a * b < a ↔ b < 1 :=
iff.trans (by rw mul_one) (mul_lt_mul_iff_left a)
@[simp, to_additive add_lt_iff_neg_right]
lemma mul_lt_iff_lt_one_right'
[covariant_class α α (swap (*)) (<)] [contravariant_class α α (swap (*)) (<)]
{a : α} (b : α) :
a * b < b ↔ a < 1 :=
iff.trans (by rw one_mul) (mul_lt_mul_iff_right b)
end has_lt
section preorder
variable [preorder α]
/-! Lemmas of the form `b ≤ c → a ≤ 1 → b * a ≤ c`,
which assume left covariance. -/
@[to_additive]
lemma mul_le_of_le_of_le_one [covariant_class α α (*) (≤)]
{a b c : α} (hbc : b ≤ c) (ha : a ≤ 1) : b * a ≤ c :=
calc b * a ≤ b * 1 : mul_le_mul_left' ha b
... = b : mul_one b
... ≤ c : hbc
@[to_additive]
lemma mul_lt_of_le_of_lt_one [covariant_class α α (*) (<)]
{a b c : α} (hbc : b ≤ c) (ha : a < 1) : b * a < c :=
calc b * a < b * 1 : mul_lt_mul_left' ha b
... = b : mul_one b
... ≤ c : hbc
@[to_additive]
lemma mul_lt_of_lt_of_le_one [covariant_class α α (*) (≤)]
{a b c : α} (hbc : b < c) (ha : a ≤ 1) : b * a < c :=
calc b * a ≤ b * 1 : mul_le_mul_left' ha b
... = b : mul_one b
... < c : hbc
@[to_additive]
lemma mul_lt_of_lt_of_lt_one [covariant_class α α (*) (<)]
{a b c : α} (hbc : b < c) (ha : a < 1) : b * a < c :=
calc b * a < b * 1 : mul_lt_mul_left' ha b
... = b : mul_one b
... < c : hbc
@[to_additive]
lemma mul_lt_of_lt_of_lt_one' [covariant_class α α (*) (≤)]
{a b c : α} (hbc : b < c) (ha : a < 1) : b * a < c :=
mul_lt_of_lt_of_le_one hbc ha.le
/-- Assumes left covariance.
The lemma assuming right covariance is `right.mul_le_one`. -/
@[to_additive "Assumes left covariance.
The lemma assuming right covariance is `right.add_nonpos`."]
lemma left.mul_le_one [covariant_class α α (*) (≤)]
{a b : α} (ha : a ≤ 1) (hb : b ≤ 1) : a * b ≤ 1 :=
mul_le_of_le_of_le_one ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.mul_lt_one_of_le_of_lt`. -/
@[to_additive left.add_neg_of_nonpos_of_neg "Assumes left covariance.
The lemma assuming right covariance is `right.add_neg_of_nonpos_of_neg`."]
lemma left.mul_lt_one_of_le_of_lt [covariant_class α α (*) (<)]
{a b : α} (ha : a ≤ 1) (hb : b < 1) : a * b < 1 :=
mul_lt_of_le_of_lt_one ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.mul_lt_one_of_lt_of_le`. -/
@[to_additive left.add_neg_of_neg_of_nonpos "Assumes left covariance.
The lemma assuming right covariance is `right.add_neg_of_neg_of_nonpos`."]
lemma left.mul_lt_one_of_lt_of_le [covariant_class α α (*) (≤)]
{a b : α} (ha : a < 1) (hb : b ≤ 1) : a * b < 1 :=
mul_lt_of_lt_of_le_one ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.mul_lt_one`. -/
@[to_additive "Assumes left covariance.
The lemma assuming right covariance is `right.add_neg`."]
lemma left.mul_lt_one [covariant_class α α (*) (<)]
{a b : α} (ha : a < 1) (hb : b < 1) : a * b < 1 :=
mul_lt_of_lt_of_lt_one ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.mul_lt_one'`. -/
@[to_additive "Assumes left covariance.
The lemma assuming right covariance is `right.add_neg'`."]
lemma left.mul_lt_one' [covariant_class α α (*) (≤)]
{a b : α} (ha : a < 1) (hb : b < 1) : a * b < 1 :=
mul_lt_of_lt_of_lt_one' ha hb
/-! Lemmas of the form `b ≤ c → 1 ≤ a → b ≤ c * a`,
which assume left covariance. -/
@[to_additive]
lemma le_mul_of_le_of_one_le [covariant_class α α (*) (≤)]
{a b c : α} (hbc : b ≤ c) (ha : 1 ≤ a) : b ≤ c * a :=
calc b ≤ c : hbc
... = c * 1 : (mul_one c).symm
... ≤ c * a : mul_le_mul_left' ha c
@[to_additive]
lemma lt_mul_of_le_of_one_lt [covariant_class α α (*) (<)]
{a b c : α} (hbc : b ≤ c) (ha : 1 < a) : b < c * a :=
calc b ≤ c : hbc
... = c * 1 : (mul_one c).symm
... < c * a : mul_lt_mul_left' ha c
@[to_additive]
lemma lt_mul_of_lt_of_one_le [covariant_class α α (*) (≤)]
{a b c : α} (hbc : b < c) (ha : 1 ≤ a) : b < c * a :=
calc b < c : hbc
... = c * 1 : (mul_one c).symm
... ≤ c * a : mul_le_mul_left' ha c
@[to_additive]
lemma lt_mul_of_lt_of_one_lt [covariant_class α α (*) (<)]
{a b c : α} (hbc : b < c) (ha : 1 < a) : b < c * a :=
calc b < c : hbc
... = c * 1 : (mul_one c).symm
... < c * a : mul_lt_mul_left' ha c
@[to_additive]
lemma lt_mul_of_lt_of_one_lt' [covariant_class α α (*) (≤)]
{a b c : α} (hbc : b < c) (ha : 1 < a) : b < c * a :=
lt_mul_of_lt_of_one_le hbc ha.le
/-- Assumes left covariance.
The lemma assuming right covariance is `right.one_le_mul`. -/
@[to_additive left.add_nonneg "Assumes left covariance.
The lemma assuming right covariance is `right.add_nonneg`."]
lemma left.one_le_mul [covariant_class α α (*) (≤)]
{a b : α} (ha : 1 ≤ a) (hb : 1 ≤ b) : 1 ≤ a * b :=
le_mul_of_le_of_one_le ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.one_lt_mul_of_le_of_lt`. -/
@[to_additive left.add_pos_of_nonneg_of_pos "Assumes left covariance.
The lemma assuming right covariance is `right.add_pos_of_nonneg_of_pos`."]
lemma left.one_lt_mul_of_le_of_lt [covariant_class α α (*) (<)]
{a b : α} (ha : 1 ≤ a) (hb : 1 < b) : 1 < a * b :=
lt_mul_of_le_of_one_lt ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.one_lt_mul_of_lt_of_le`. -/
@[to_additive left.add_pos_of_pos_of_nonneg "Assumes left covariance.
The lemma assuming right covariance is `right.add_pos_of_pos_of_nonneg`."]
lemma left.one_lt_mul_of_lt_of_le [covariant_class α α (*) (≤)]
{a b : α} (ha : 1 < a) (hb : 1 ≤ b) : 1 < a * b :=
lt_mul_of_lt_of_one_le ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.one_lt_mul`. -/
@[to_additive left.add_pos "Assumes left covariance.
The lemma assuming right covariance is `right.add_pos`."]
lemma left.one_lt_mul [covariant_class α α (*) (<)]
{a b : α} (ha : 1 < a) (hb : 1 < b) : 1 < a * b :=
lt_mul_of_lt_of_one_lt ha hb
/-- Assumes left covariance.
The lemma assuming right covariance is `right.one_lt_mul'`. -/
@[to_additive left.add_pos' "Assumes left covariance.
The lemma assuming right covariance is `right.add_pos'`."]
lemma left.one_lt_mul' [covariant_class α α (*) (≤)]
{a b : α} (ha : 1 < a) (hb : 1 < b) : 1 < a * b :=
lt_mul_of_lt_of_one_lt' ha hb
/-! Lemmas of the form `a ≤ 1 → b ≤ c → a * b ≤ c`,
which assume right covariance. -/
@[to_additive]
lemma mul_le_of_le_one_of_le [covariant_class α α (swap (*)) (≤)]
{a b c : α} (ha : a ≤ 1) (hbc : b ≤ c) : a * b ≤ c :=
calc a * b ≤ 1 * b : mul_le_mul_right' ha b
... = b : one_mul b
... ≤ c : hbc
@[to_additive]
lemma mul_lt_of_lt_one_of_le [covariant_class α α (swap (*)) (<)]
{a b c : α} (ha : a < 1) (hbc : b ≤ c) : a * b < c :=
calc a * b < 1 * b : mul_lt_mul_right' ha b
... = b : one_mul b
... ≤ c : hbc
@[to_additive]
lemma mul_lt_of_le_one_of_lt [covariant_class α α (swap (*)) (≤)]
{a b c : α} (ha : a ≤ 1) (hb : b < c) : a * b < c :=
calc a * b ≤ 1 * b : mul_le_mul_right' ha b
... = b : one_mul b
... < c : hb
@[to_additive]
lemma mul_lt_of_lt_one_of_lt [covariant_class α α (swap (*)) (<)]
{a b c : α} (ha : a < 1) (hb : b < c) : a * b < c :=
calc a * b < 1 * b : mul_lt_mul_right' ha b
... = b : one_mul b
... < c : hb
@[to_additive]
lemma mul_lt_of_lt_one_of_lt' [covariant_class α α (swap (*)) (≤)]
{a b c : α} (ha : a < 1) (hbc : b < c) : a * b < c :=
mul_lt_of_le_one_of_lt ha.le hbc
/-- Assumes right covariance.
The lemma assuming left covariance is `left.mul_le_one`. -/
@[to_additive "Assumes right covariance.
The lemma assuming left covariance is `left.add_nonpos`."]
lemma right.mul_le_one [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : a ≤ 1) (hb : b ≤ 1) : a * b ≤ 1 :=
mul_le_of_le_one_of_le ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.mul_lt_one_of_lt_of_le`. -/
@[to_additive right.add_neg_of_neg_of_nonpos "Assumes right covariance.
The lemma assuming left covariance is `left.add_neg_of_neg_of_nonpos`."]
lemma right.mul_lt_one_of_lt_of_le [covariant_class α α (swap (*)) (<)]
{a b : α} (ha : a < 1) (hb : b ≤ 1) : a * b < 1 :=
mul_lt_of_lt_one_of_le ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.mul_lt_one_of_le_of_lt`. -/
@[to_additive right.add_neg_of_nonpos_of_neg "Assumes right covariance.
The lemma assuming left covariance is `left.add_neg_of_nonpos_of_neg`."]
lemma right.mul_lt_one_of_le_of_lt [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : a ≤ 1) (hb : b < 1) : a * b < 1 :=
mul_lt_of_le_one_of_lt ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.mul_lt_one`. -/
@[to_additive "Assumes right covariance.
The lemma assuming left covariance is `left.add_neg`."]
lemma right.mul_lt_one [covariant_class α α (swap (*)) (<)]
{a b : α} (ha : a < 1) (hb : b < 1) : a * b < 1 :=
mul_lt_of_lt_one_of_lt ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.mul_lt_one'`. -/
@[to_additive "Assumes right covariance.
The lemma assuming left covariance is `left.add_neg'`."]
lemma right.mul_lt_one' [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : a < 1) (hb : b < 1) : a * b < 1 :=
mul_lt_of_lt_one_of_lt' ha hb
/-! Lemmas of the form `1 ≤ a → b ≤ c → b ≤ a * c`,
which assume right covariance. -/
@[to_additive]
lemma le_mul_of_one_le_of_le [covariant_class α α (swap (*)) (≤)]
{a b c : α} (ha : 1 ≤ a) (hbc : b ≤ c) : b ≤ a * c :=
calc b ≤ c : hbc
... = 1 * c : (one_mul c).symm
... ≤ a * c : mul_le_mul_right' ha c
@[to_additive]
lemma lt_mul_of_one_lt_of_le [covariant_class α α (swap (*)) (<)]
{a b c : α} (ha : 1 < a) (hbc : b ≤ c) : b < a * c :=
calc b ≤ c : hbc
... = 1 * c : (one_mul c).symm
... < a * c : mul_lt_mul_right' ha c
@[to_additive]
lemma lt_mul_of_one_le_of_lt [covariant_class α α (swap (*)) (≤)]
{a b c : α} (ha : 1 ≤ a) (hbc : b < c) : b < a * c :=
calc b < c : hbc
... = 1 * c : (one_mul c).symm
... ≤ a * c : mul_le_mul_right' ha c
@[to_additive]
lemma lt_mul_of_one_lt_of_lt [covariant_class α α (swap (*)) (<)]
{a b c : α} (ha : 1 < a) (hbc : b < c) : b < a * c :=
calc b < c : hbc
... = 1 * c : (one_mul c).symm
... < a * c : mul_lt_mul_right' ha c
@[to_additive]
lemma lt_mul_of_one_lt_of_lt' [covariant_class α α (swap (*)) (≤)]
{a b c : α} (ha : 1 < a) (hbc : b < c) : b < a * c :=
lt_mul_of_one_le_of_lt ha.le hbc
/-- Assumes right covariance.
The lemma assuming left covariance is `left.one_le_mul`. -/
@[to_additive right.add_nonneg "Assumes right covariance.
The lemma assuming left covariance is `left.add_nonneg`."]
lemma right.one_le_mul [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : 1 ≤ a) (hb : 1 ≤ b) : 1 ≤ a * b :=
le_mul_of_one_le_of_le ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.one_lt_mul_of_lt_of_le`. -/
@[to_additive right.add_pos_of_pos_of_nonneg "Assumes right covariance.
The lemma assuming left covariance is `left.add_pos_of_pos_of_nonneg`."]
lemma right.one_lt_mul_of_lt_of_le [covariant_class α α (swap (*)) (<)]
{a b : α} (ha : 1 < a) (hb : 1 ≤ b) : 1 < a * b :=
lt_mul_of_one_lt_of_le ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.one_lt_mul_of_le_of_lt`. -/
@[to_additive right.add_pos_of_nonneg_of_pos "Assumes right covariance.
The lemma assuming left covariance is `left.add_pos_of_nonneg_of_pos`."]
lemma right.one_lt_mul_of_le_of_lt [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : 1 ≤ a) (hb : 1 < b) : 1 < a * b :=
lt_mul_of_one_le_of_lt ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.one_lt_mul`. -/
@[to_additive right.add_pos "Assumes right covariance.
The lemma assuming left covariance is `left.add_pos`."]
lemma right.one_lt_mul [covariant_class α α (swap (*)) (<)]
{a b : α} (ha : 1 < a) (hb : 1 < b) : 1 < a * b :=
lt_mul_of_one_lt_of_lt ha hb
/-- Assumes right covariance.
The lemma assuming left covariance is `left.one_lt_mul'`. -/
@[to_additive right.add_pos' "Assumes right covariance.
The lemma assuming left covariance is `left.add_pos'`."]
lemma right.one_lt_mul' [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : 1 < a) (hb : 1 < b) : 1 < a * b :=
lt_mul_of_one_lt_of_lt' ha hb
alias left.mul_le_one ← mul_le_one'
alias left.mul_lt_one_of_le_of_lt ← mul_lt_one_of_le_of_lt
alias left.mul_lt_one_of_lt_of_le ← mul_lt_one_of_lt_of_le
alias left.mul_lt_one ← mul_lt_one
alias left.mul_lt_one' ← mul_lt_one'
attribute [to_additive add_nonpos "**Alias** of `left.add_nonpos`."]
mul_le_one'
attribute [to_additive add_neg_of_nonpos_of_neg "**Alias** of `left.add_neg_of_nonpos_of_neg`."]
mul_lt_one_of_le_of_lt
attribute [to_additive add_neg_of_neg_of_nonpos "**Alias** of `left.add_neg_of_neg_of_nonpos`."]
mul_lt_one_of_lt_of_le
attribute [to_additive "**Alias** of `left.add_neg`."]
mul_lt_one
attribute [to_additive "**Alias** of `left.add_neg'`."]
mul_lt_one'
alias left.one_le_mul ← one_le_mul
alias left.one_lt_mul_of_le_of_lt ← one_lt_mul_of_le_of_lt'
alias left.one_lt_mul_of_lt_of_le ← one_lt_mul_of_lt_of_le'
alias left.one_lt_mul ← one_lt_mul'
alias left.one_lt_mul' ← one_lt_mul''
attribute [to_additive add_nonneg "**Alias** of `left.add_nonneg`."]
one_le_mul
attribute [to_additive add_pos_of_nonneg_of_pos "**Alias** of `left.add_pos_of_nonneg_of_pos`."]
one_lt_mul_of_le_of_lt'
attribute [to_additive add_pos_of_pos_of_nonneg "**Alias** of `left.add_pos_of_pos_of_nonneg`."]
one_lt_mul_of_lt_of_le'
attribute [to_additive add_pos "**Alias** of `left.add_pos`."]
one_lt_mul'
attribute [to_additive add_pos' "**Alias** of `left.add_pos'`."]
one_lt_mul''
@[to_additive]
lemma lt_of_mul_lt_of_one_le_left [covariant_class α α (*) (≤)]
{a b c : α} (h : a * b < c) (hle : 1 ≤ b) : a < c :=
(le_mul_of_one_le_right' hle).trans_lt h
@[to_additive]
lemma le_of_mul_le_of_one_le_left [covariant_class α α (*) (≤)]
{a b c : α} (h : a * b ≤ c) (hle : 1 ≤ b) : a ≤ c :=
(le_mul_of_one_le_right' hle).trans h
@[to_additive]
lemma lt_of_lt_mul_of_le_one_left [covariant_class α α (*) (≤)]
{a b c : α} (h : a < b * c) (hle : c ≤ 1) : a < b :=
h.trans_le (mul_le_of_le_one_right' hle)
@[to_additive]
lemma le_of_le_mul_of_le_one_left [covariant_class α α (*) (≤)]
{a b c : α} (h : a ≤ b * c) (hle : c ≤ 1) : a ≤ b :=
h.trans (mul_le_of_le_one_right' hle)
@[to_additive]
lemma lt_of_mul_lt_of_one_le_right [covariant_class α α (swap (*)) (≤)]
{a b c : α} (h : a * b < c) (hle : 1 ≤ a) : b < c :=
(le_mul_of_one_le_left' hle).trans_lt h
@[to_additive]
lemma le_of_mul_le_of_one_le_right [covariant_class α α (swap (*)) (≤)]
{a b c : α} (h : a * b ≤ c) (hle : 1 ≤ a) : b ≤ c :=
(le_mul_of_one_le_left' hle).trans h
@[to_additive]
lemma lt_of_lt_mul_of_le_one_right [covariant_class α α (swap (*)) (≤)]
{a b c : α} (h : a < b * c) (hle : b ≤ 1) : a < c :=
h.trans_le (mul_le_of_le_one_left' hle)
@[to_additive]
lemma le_of_le_mul_of_le_one_right [covariant_class α α (swap (*)) (≤)]
{a b c : α} (h : a ≤ b * c) (hle : b ≤ 1) : a ≤ c :=
h.trans (mul_le_of_le_one_left' hle)
end preorder
section partial_order
variables [partial_order α]
@[to_additive]
lemma mul_eq_one_iff' [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
{a b : α} (ha : 1 ≤ a) (hb : 1 ≤ b) : a * b = 1 ↔ a = 1 ∧ b = 1 :=
iff.intro
(assume hab : a * b = 1,
have a ≤ 1, from hab ▸ le_mul_of_le_of_one_le le_rfl hb,
have a = 1, from le_antisymm this ha,
have b ≤ 1, from hab ▸ le_mul_of_one_le_of_le ha le_rfl,
have b = 1, from le_antisymm this hb,
and.intro ‹a = 1› ‹b = 1›)
(assume ⟨ha', hb'⟩, by rw [ha', hb', mul_one])
end partial_order
section linear_order
variables [linear_order α]
lemma exists_square_le [covariant_class α α (*) (<)]
(a : α) : ∃ (b : α), b * b ≤ a :=
begin
by_cases h : a < 1,
{ use a,
have : a*a < a*1,
exact mul_lt_mul_left' h a,
rw mul_one at this,
exact le_of_lt this },
{ use 1,
push_neg at h,
rwa mul_one }
end
end linear_order
end mul_one_class
section semigroup
variables [semigroup α]
section partial_order
variables [partial_order α]
/- This is not instance, since we want to have an instance from `left_cancel_semigroup`s
to the appropriate `covariant_class`. -/
/-- A semigroup with a partial order and satisfying `left_cancel_semigroup`
(i.e. `a * c < b * c → a < b`) is a `left_cancel semigroup`. -/
@[to_additive
"An additive semigroup with a partial order and satisfying `left_cancel_add_semigroup`
(i.e. `c + a < c + b → a < b`) is a `left_cancel add_semigroup`."]
def contravariant.to_left_cancel_semigroup
[contravariant_class α α (*) (≤)] :
left_cancel_semigroup α :=
{ mul_left_cancel := λ a b c, mul_left_cancel''
..‹semigroup α› }
/- This is not instance, since we want to have an instance from `right_cancel_semigroup`s
to the appropriate `covariant_class`. -/
/-- A semigroup with a partial order and satisfying `right_cancel_semigroup`
(i.e. `a * c < b * c → a < b`) is a `right_cancel semigroup`. -/
@[to_additive
"An additive semigroup with a partial order and satisfying `right_cancel_add_semigroup`
(`a + c < b + c → a < b`) is a `right_cancel add_semigroup`."]
def contravariant.to_right_cancel_semigroup
[contravariant_class α α (swap (*)) (≤)] :
right_cancel_semigroup α :=
{ mul_right_cancel := λ a b c, mul_right_cancel''
..‹semigroup α› }
@[to_additive] lemma left.mul_eq_mul_iff_eq_and_eq
[covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (≤)]
[contravariant_class α α (*) (≤)] [contravariant_class α α (swap (*)) (≤)]
{a b c d : α} (hac : a ≤ c) (hbd : b ≤ d) : a * b = c * d ↔ a = c ∧ b = d :=
begin
refine ⟨λ h, _, λ h, congr_arg2 (*) h.1 h.2⟩,
rcases hac.eq_or_lt with rfl | hac,
{ exact ⟨rfl, mul_left_cancel'' h⟩ },
rcases eq_or_lt_of_le hbd with rfl | hbd,
{ exact ⟨mul_right_cancel'' h, rfl⟩ },
exact ((left.mul_lt_mul hac hbd).ne h).elim,
end
@[to_additive] lemma right.mul_eq_mul_iff_eq_and_eq
[covariant_class α α (*) (≤)] [contravariant_class α α (*) (≤)]
[covariant_class α α (swap (*)) (<)] [contravariant_class α α (swap (*)) (≤)]
{a b c d : α} (hac : a ≤ c) (hbd : b ≤ d) : a * b = c * d ↔ a = c ∧ b = d :=
begin
refine ⟨λ h, _, λ h, congr_arg2 (*) h.1 h.2⟩,
rcases hac.eq_or_lt with rfl | hac,
{ exact ⟨rfl, mul_left_cancel'' h⟩ },
rcases eq_or_lt_of_le hbd with rfl | hbd,
{ exact ⟨mul_right_cancel'' h, rfl⟩ },
exact ((right.mul_lt_mul hac hbd).ne h).elim,
end
alias left.mul_eq_mul_iff_eq_and_eq ← mul_eq_mul_iff_eq_and_eq
attribute [to_additive] mul_eq_mul_iff_eq_and_eq
end partial_order
end semigroup
section mono
variables [has_mul α] [preorder α] [preorder β] {f g : β → α} {s : set β}
@[to_additive const_add]
lemma monotone.const_mul' [covariant_class α α (*) (≤)] (hf : monotone f) (a : α) :
monotone (λ x, a * f x) :=
λ x y h, mul_le_mul_left' (hf h) a
@[to_additive const_add]
lemma monotone_on.const_mul' [covariant_class α α (*) (≤)] (hf : monotone_on f s) (a : α) :
monotone_on (λ x, a * f x) s :=
λ x hx y hy h, mul_le_mul_left' (hf hx hy h) a
@[to_additive const_add]
lemma antitone.const_mul' [covariant_class α α (*) (≤)] (hf : antitone f) (a : α) :
antitone (λ x, a * f x) :=
λ x y h, mul_le_mul_left' (hf h) a
@[to_additive const_add]
lemma antitone_on.const_mul' [covariant_class α α (*) (≤)] (hf : antitone_on f s) (a : α) :
antitone_on (λ x, a * f x) s :=
λ x hx y hy h, mul_le_mul_left' (hf hx hy h) a
@[to_additive add_const]
lemma monotone.mul_const' [covariant_class α α (swap (*)) (≤)]
(hf : monotone f) (a : α) : monotone (λ x, f x * a) :=
λ x y h, mul_le_mul_right' (hf h) a
@[to_additive add_const]
lemma monotone_on.mul_const' [covariant_class α α (swap (*)) (≤)]
(hf : monotone_on f s) (a : α) : monotone_on (λ x, f x * a) s :=
λ x hx y hy h, mul_le_mul_right' (hf hx hy h) a
@[to_additive add_const]
lemma antitone.mul_const' [covariant_class α α (swap (*)) (≤)]
(hf : antitone f) (a : α) : antitone (λ x, f x * a) :=
λ x y h, mul_le_mul_right' (hf h) a
@[to_additive add_const]
lemma antitone_on.mul_const' [covariant_class α α (swap (*)) (≤)]
(hf : antitone_on f s) (a : α) : antitone_on (λ x, f x * a) s :=
λ x hx y hy h, mul_le_mul_right' (hf hx hy h) a
/-- The product of two monotone functions is monotone. -/
@[to_additive add "The sum of two monotone functions is monotone."]
lemma monotone.mul' [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
(hf : monotone f) (hg : monotone g) : monotone (λ x, f x * g x) :=
λ x y h, mul_le_mul' (hf h) (hg h)
/-- The product of two monotone functions is monotone. -/
@[to_additive add "The sum of two monotone functions is monotone."]
lemma monotone_on.mul' [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
(hf : monotone_on f s) (hg : monotone_on g s) : monotone_on (λ x, f x * g x) s :=
λ x hx y hy h, mul_le_mul' (hf hx hy h) (hg hx hy h)
/-- The product of two antitone functions is antitone. -/
@[to_additive add "The sum of two antitone functions is antitone."]
lemma antitone.mul' [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
(hf : antitone f) (hg : antitone g) : antitone (λ x, f x * g x) :=
λ x y h, mul_le_mul' (hf h) (hg h)
/-- The product of two antitone functions is antitone. -/
@[to_additive add "The sum of two antitone functions is antitone."]
lemma antitone_on.mul' [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (≤)]
(hf : antitone_on f s) (hg : antitone_on g s) : antitone_on (λ x, f x * g x) s :=
λ x hx y hy h, mul_le_mul' (hf hx hy h) (hg hx hy h)
section left
variables [covariant_class α α (*) (<)]
@[to_additive const_add] lemma strict_mono.const_mul' (hf : strict_mono f) (c : α) :
strict_mono (λ x, c * f x) :=
λ a b ab, mul_lt_mul_left' (hf ab) c
@[to_additive const_add] lemma strict_mono_on.const_mul' (hf : strict_mono_on f s) (c : α) :
strict_mono_on (λ x, c * f x) s :=
λ a ha b hb ab, mul_lt_mul_left' (hf ha hb ab) c
@[to_additive const_add] lemma strict_anti.const_mul' (hf : strict_anti f) (c : α) :
strict_anti (λ x, c * f x) :=
λ a b ab, mul_lt_mul_left' (hf ab) c
@[to_additive const_add] lemma strict_anti_on.const_mul' (hf : strict_anti_on f s) (c : α) :
strict_anti_on (λ x, c * f x) s :=
λ a ha b hb ab, mul_lt_mul_left' (hf ha hb ab) c
end left
section right
variables [covariant_class α α (swap (*)) (<)]
@[to_additive add_const] lemma strict_mono.mul_const' (hf : strict_mono f) (c : α) :
strict_mono (λ x, f x * c) :=
λ a b ab, mul_lt_mul_right' (hf ab) c
@[to_additive add_const] lemma strict_mono_on.mul_const' (hf : strict_mono_on f s) (c : α) :
strict_mono_on (λ x, f x * c) s :=
λ a ha b hb ab, mul_lt_mul_right' (hf ha hb ab) c
@[to_additive add_const] lemma strict_anti.mul_const' (hf : strict_anti f) (c : α) :
strict_anti (λ x, f x * c) :=
λ a b ab, mul_lt_mul_right' (hf ab) c
@[to_additive add_const] lemma strict_anti_on.mul_const' (hf : strict_anti_on f s) (c : α) :
strict_anti_on (λ x, f x * c) s :=
λ a ha b hb ab, mul_lt_mul_right' (hf ha hb ab) c
end right
/-- The product of two strictly monotone functions is strictly monotone. -/
@[to_additive add "The sum of two strictly monotone functions is strictly monotone."]
lemma strict_mono.mul' [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (<)]
(hf : strict_mono f) (hg : strict_mono g) :
strict_mono (λ x, f x * g x) :=
λ a b ab, mul_lt_mul_of_lt_of_lt (hf ab) (hg ab)
/-- The product of two strictly monotone functions is strictly monotone. -/
@[to_additive add "The sum of two strictly monotone functions is strictly monotone."]
lemma strict_mono_on.mul' [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (<)]
(hf : strict_mono_on f s) (hg : strict_mono_on g s) :
strict_mono_on (λ x, f x * g x) s :=
λ a ha b hb ab, mul_lt_mul_of_lt_of_lt (hf ha hb ab) (hg ha hb ab)
/-- The product of two strictly antitone functions is strictly antitone. -/
@[to_additive add "The sum of two strictly antitone functions is strictly antitone."]
lemma strict_anti.mul' [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (<)]
(hf : strict_anti f) (hg : strict_anti g) :
strict_anti (λ x, f x * g x) :=
λ a b ab, mul_lt_mul_of_lt_of_lt (hf ab) (hg ab)
/-- The product of two strictly antitone functions is strictly antitone. -/
@[to_additive add "The sum of two strictly antitone functions is strictly antitone."]
lemma strict_anti_on.mul' [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (<)]
(hf : strict_anti_on f s) (hg : strict_anti_on g s) :
strict_anti_on (λ x, f x * g x) s :=
λ a ha b hb ab, mul_lt_mul_of_lt_of_lt (hf ha hb ab) (hg ha hb ab)
/-- The product of a monotone function and a strictly monotone function is strictly monotone. -/
@[to_additive add_strict_mono
"The sum of a monotone function and a strictly monotone function is strictly monotone."]
lemma monotone.mul_strict_mono' [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (≤)]
{f g : β → α} (hf : monotone f) (hg : strict_mono g) :
strict_mono (λ x, f x * g x) :=
λ x y h, mul_lt_mul_of_le_of_lt (hf h.le) (hg h)
/-- The product of a monotone function and a strictly monotone function is strictly monotone. -/
@[to_additive add_strict_mono
"The sum of a monotone function and a strictly monotone function is strictly monotone."]
lemma monotone_on.mul_strict_mono' [covariant_class α α (*) (<)]
[covariant_class α α (swap (*)) (≤)] {f g : β → α}
(hf : monotone_on f s) (hg : strict_mono_on g s) :
strict_mono_on (λ x, f x * g x) s :=
λ x hx y hy h, mul_lt_mul_of_le_of_lt (hf hx hy h.le) (hg hx hy h)
/-- The product of a antitone function and a strictly antitone function is strictly antitone. -/
@[to_additive add_strict_anti
"The sum of a antitone function and a strictly antitone function is strictly antitone."]
lemma antitone.mul_strict_anti' [covariant_class α α (*) (<)] [covariant_class α α (swap (*)) (≤)]
{f g : β → α} (hf : antitone f) (hg : strict_anti g) :
strict_anti (λ x, f x * g x) :=
λ x y h, mul_lt_mul_of_le_of_lt (hf h.le) (hg h)
/-- The product of a antitone function and a strictly antitone function is strictly antitone. -/
@[to_additive add_strict_anti
"The sum of a antitone function and a strictly antitone function is strictly antitone."]
lemma antitone_on.mul_strict_anti' [covariant_class α α (*) (<)]
[covariant_class α α (swap (*)) (≤)] {f g : β → α}
(hf : antitone_on f s) (hg : strict_anti_on g s) :
strict_anti_on (λ x, f x * g x) s :=
λ x hx y hy h, mul_lt_mul_of_le_of_lt (hf hx hy h.le) (hg hx hy h)
variables [covariant_class α α (*) (≤)] [covariant_class α α (swap (*)) (<)]
/-- The product of a strictly monotone function and a monotone function is strictly monotone. -/
@[to_additive add_monotone
"The sum of a strictly monotone function and a monotone function is strictly monotone."]
lemma strict_mono.mul_monotone' (hf : strict_mono f) (hg : monotone g) :
strict_mono (λ x, f x * g x) :=
λ x y h, mul_lt_mul_of_lt_of_le (hf h) (hg h.le)
/-- The product of a strictly monotone function and a monotone function is strictly monotone. -/
@[to_additive add_monotone
"The sum of a strictly monotone function and a monotone function is strictly monotone."]
lemma strict_mono_on.mul_monotone' (hf : strict_mono_on f s) (hg : monotone_on g s) :
strict_mono_on (λ x, f x * g x) s :=
λ x hx y hy h, mul_lt_mul_of_lt_of_le (hf hx hy h) (hg hx hy h.le)
/-- The product of a strictly antitone function and a antitone function is strictly antitone. -/
@[to_additive add_antitone
"The sum of a strictly antitone function and a antitone function is strictly antitone."]
lemma strict_anti.mul_antitone' (hf : strict_anti f) (hg : antitone g) :
strict_anti (λ x, f x * g x) :=
λ x y h, mul_lt_mul_of_lt_of_le (hf h) (hg h.le)
/-- The product of a strictly antitone function and a antitone function is strictly antitone. -/
@[to_additive add_antitone
"The sum of a strictly antitone function and a antitone function is strictly antitone."]
lemma strict_anti_on.mul_antitone' (hf : strict_anti_on f s) (hg : antitone_on g s) :
strict_anti_on (λ x, f x * g x) s :=
λ x hx y hy h, mul_lt_mul_of_lt_of_le (hf hx hy h) (hg hx hy h.le)
end mono
/--
An element `a : α` is `mul_le_cancellable` if `x ↦ a * x` is order-reflecting.
We will make a separate version of many lemmas that require `[contravariant_class α α (*) (≤)]` with
`mul_le_cancellable` assumptions instead. These lemmas can then be instantiated to specific types,
like `ennreal`, where we can replace the assumption `add_le_cancellable x` by `x ≠ ∞`.
-/
@[to_additive /-" An element `a : α` is `add_le_cancellable` if `x ↦ a + x` is order-reflecting.
We will make a separate version of many lemmas that require `[contravariant_class α α (+) (≤)]` with
`mul_le_cancellable` assumptions instead. These lemmas can then be instantiated to specific types,
like `ennreal`, where we can replace the assumption `add_le_cancellable x` by `x ≠ ∞`. "-/
]
def mul_le_cancellable [has_mul α] [has_le α] (a : α) : Prop :=
∀ ⦃b c⦄, a * b ≤ a * c → b ≤ c
@[to_additive]
lemma contravariant.mul_le_cancellable [has_mul α] [has_le α] [contravariant_class α α (*) (≤)]
{a : α} : mul_le_cancellable a :=
λ b c, le_of_mul_le_mul_left'
namespace mul_le_cancellable
@[to_additive]
protected lemma injective [has_mul α] [partial_order α] {a : α} (ha : mul_le_cancellable a) :
injective ((*) a) :=
λ b c h, le_antisymm (ha h.le) (ha h.ge)
@[to_additive]
protected lemma inj [has_mul α] [partial_order α] {a b c : α} (ha : mul_le_cancellable a) :
a * b = a * c ↔ b = c :=
ha.injective.eq_iff
@[to_additive]
protected lemma injective_left [comm_semigroup α] [partial_order α] {a : α}
(ha : mul_le_cancellable a) : injective (* a) :=
λ b c h, ha.injective $ by rwa [mul_comm a, mul_comm a]
@[to_additive]
protected lemma inj_left [comm_semigroup α] [partial_order α] {a b c : α}
(hc : mul_le_cancellable c) : a * c = b * c ↔ a = b :=
hc.injective_left.eq_iff
variable [has_le α]
@[to_additive]
protected lemma mul_le_mul_iff_left [has_mul α] [covariant_class α α (*) (≤)]
{a b c : α} (ha : mul_le_cancellable a) : a * b ≤ a * c ↔ b ≤ c :=
⟨λ h, ha h, λ h, mul_le_mul_left' h a⟩
@[to_additive]
protected lemma mul_le_mul_iff_right [comm_semigroup α] [covariant_class α α (*) (≤)]
{a b c : α} (ha : mul_le_cancellable a) : b * a ≤ c * a ↔ b ≤ c :=
by rw [mul_comm b, mul_comm c, ha.mul_le_mul_iff_left]
@[to_additive]
protected lemma le_mul_iff_one_le_right [mul_one_class α] [covariant_class α α (*) (≤)]
{a b : α} (ha : mul_le_cancellable a) : a ≤ a * b ↔ 1 ≤ b :=
iff.trans (by rw [mul_one]) ha.mul_le_mul_iff_left
@[to_additive]
protected lemma mul_le_iff_le_one_right [mul_one_class α] [covariant_class α α (*) (≤)]
{a b : α} (ha : mul_le_cancellable a) : a * b ≤ a ↔ b ≤ 1 :=
iff.trans (by rw [mul_one]) ha.mul_le_mul_iff_left
@[to_additive]
protected lemma le_mul_iff_one_le_left [comm_monoid α] [covariant_class α α (*) (≤)]
{a b : α} (ha : mul_le_cancellable a) : a ≤ b * a ↔ 1 ≤ b :=
by rw [mul_comm, ha.le_mul_iff_one_le_right]
@[to_additive]
protected lemma mul_le_iff_le_one_left [comm_monoid α] [covariant_class α α (*) (≤)]
{a b : α} (ha : mul_le_cancellable a) : b * a ≤ a ↔ b ≤ 1 :=
by rw [mul_comm, ha.mul_le_iff_le_one_right]
end mul_le_cancellable
|
00c0a121ae30bb9935aca93c9a218ea39a7c6f33 | 592ee40978ac7604005a4e0d35bbc4b467389241 | /Library/generated/mathscheme-lean/LeftInverse.lean | 8b7d92e3c2e86b2c681658512c809850d68c8e51 | [] | no_license | ysharoda/Deriving-Definitions | 3e149e6641fae440badd35ac110a0bd705a49ad2 | dfecb27572022de3d4aa702cae8db19957523a59 | refs/heads/master | 1,679,127,857,700 | 1,615,939,007,000 | 1,615,939,007,000 | 229,785,731 | 4 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,749 | lean | import init.data.nat.basic
import init.data.fin.basic
import data.vector
import .Prelude
open Staged
open nat
open fin
open vector
section LeftInverse
structure LeftInverse (A : Type) : Type :=
(inv : (A → A))
(e : A)
(op : (A → (A → A)))
(leftInverse_inv_op_e : (∀ {x : A} , (op x (inv x)) = e))
open LeftInverse
structure Sig (AS : Type) : Type :=
(invS : (AS → AS))
(eS : AS)
(opS : (AS → (AS → AS)))
structure Product (A : Type) : Type :=
(invP : ((Prod A A) → (Prod A A)))
(eP : (Prod A A))
(opP : ((Prod A A) → ((Prod A A) → (Prod A A))))
(leftInverse_inv_op_eP : (∀ {xP : (Prod A A)} , (opP xP (invP xP)) = eP))
structure Hom {A1 : Type} {A2 : Type} (Le1 : (LeftInverse A1)) (Le2 : (LeftInverse A2)) : Type :=
(hom : (A1 → A2))
(pres_inv : (∀ {x1 : A1} , (hom ((inv Le1) x1)) = ((inv Le2) (hom x1))))
(pres_e : (hom (e Le1)) = (e Le2))
(pres_op : (∀ {x1 x2 : A1} , (hom ((op Le1) x1 x2)) = ((op Le2) (hom x1) (hom x2))))
structure RelInterp {A1 : Type} {A2 : Type} (Le1 : (LeftInverse A1)) (Le2 : (LeftInverse A2)) : Type 1 :=
(interp : (A1 → (A2 → Type)))
(interp_inv : (∀ {x1 : A1} {y1 : A2} , ((interp x1 y1) → (interp ((inv Le1) x1) ((inv Le2) y1)))))
(interp_e : (interp (e Le1) (e Le2)))
(interp_op : (∀ {x1 x2 : A1} {y1 y2 : A2} , ((interp x1 y1) → ((interp x2 y2) → (interp ((op Le1) x1 x2) ((op Le2) y1 y2))))))
inductive LeftInverseLTerm : Type
| invL : (LeftInverseLTerm → LeftInverseLTerm)
| eL : LeftInverseLTerm
| opL : (LeftInverseLTerm → (LeftInverseLTerm → LeftInverseLTerm))
open LeftInverseLTerm
inductive ClLeftInverseClTerm (A : Type) : Type
| sing : (A → ClLeftInverseClTerm)
| invCl : (ClLeftInverseClTerm → ClLeftInverseClTerm)
| eCl : ClLeftInverseClTerm
| opCl : (ClLeftInverseClTerm → (ClLeftInverseClTerm → ClLeftInverseClTerm))
open ClLeftInverseClTerm
inductive OpLeftInverseOLTerm (n : ℕ) : Type
| v : ((fin n) → OpLeftInverseOLTerm)
| invOL : (OpLeftInverseOLTerm → OpLeftInverseOLTerm)
| eOL : OpLeftInverseOLTerm
| opOL : (OpLeftInverseOLTerm → (OpLeftInverseOLTerm → OpLeftInverseOLTerm))
open OpLeftInverseOLTerm
inductive OpLeftInverseOL2Term2 (n : ℕ) (A : Type) : Type
| v2 : ((fin n) → OpLeftInverseOL2Term2)
| sing2 : (A → OpLeftInverseOL2Term2)
| invOL2 : (OpLeftInverseOL2Term2 → OpLeftInverseOL2Term2)
| eOL2 : OpLeftInverseOL2Term2
| opOL2 : (OpLeftInverseOL2Term2 → (OpLeftInverseOL2Term2 → OpLeftInverseOL2Term2))
open OpLeftInverseOL2Term2
def simplifyCl {A : Type} : ((ClLeftInverseClTerm A) → (ClLeftInverseClTerm A))
| (invCl x1) := (invCl (simplifyCl x1))
| eCl := eCl
| (opCl x1 x2) := (opCl (simplifyCl x1) (simplifyCl x2))
| (sing x1) := (sing x1)
def simplifyOpB {n : ℕ} : ((OpLeftInverseOLTerm n) → (OpLeftInverseOLTerm n))
| (invOL x1) := (invOL (simplifyOpB x1))
| eOL := eOL
| (opOL x1 x2) := (opOL (simplifyOpB x1) (simplifyOpB x2))
| (v x1) := (v x1)
def simplifyOp {n : ℕ} {A : Type} : ((OpLeftInverseOL2Term2 n A) → (OpLeftInverseOL2Term2 n A))
| (invOL2 x1) := (invOL2 (simplifyOp x1))
| eOL2 := eOL2
| (opOL2 x1 x2) := (opOL2 (simplifyOp x1) (simplifyOp x2))
| (v2 x1) := (v2 x1)
| (sing2 x1) := (sing2 x1)
def evalB {A : Type} : ((LeftInverse A) → (LeftInverseLTerm → A))
| Le (invL x1) := ((inv Le) (evalB Le x1))
| Le eL := (e Le)
| Le (opL x1 x2) := ((op Le) (evalB Le x1) (evalB Le x2))
def evalCl {A : Type} : ((LeftInverse A) → ((ClLeftInverseClTerm A) → A))
| Le (sing x1) := x1
| Le (invCl x1) := ((inv Le) (evalCl Le x1))
| Le eCl := (e Le)
| Le (opCl x1 x2) := ((op Le) (evalCl Le x1) (evalCl Le x2))
def evalOpB {A : Type} {n : ℕ} : ((LeftInverse A) → ((vector A n) → ((OpLeftInverseOLTerm n) → A)))
| Le vars (v x1) := (nth vars x1)
| Le vars (invOL x1) := ((inv Le) (evalOpB Le vars x1))
| Le vars eOL := (e Le)
| Le vars (opOL x1 x2) := ((op Le) (evalOpB Le vars x1) (evalOpB Le vars x2))
def evalOp {A : Type} {n : ℕ} : ((LeftInverse A) → ((vector A n) → ((OpLeftInverseOL2Term2 n A) → A)))
| Le vars (v2 x1) := (nth vars x1)
| Le vars (sing2 x1) := x1
| Le vars (invOL2 x1) := ((inv Le) (evalOp Le vars x1))
| Le vars eOL2 := (e Le)
| Le vars (opOL2 x1 x2) := ((op Le) (evalOp Le vars x1) (evalOp Le vars x2))
def inductionB {P : (LeftInverseLTerm → Type)} : ((∀ (x1 : LeftInverseLTerm) , ((P x1) → (P (invL x1)))) → ((P eL) → ((∀ (x1 x2 : LeftInverseLTerm) , ((P x1) → ((P x2) → (P (opL x1 x2))))) → (∀ (x : LeftInverseLTerm) , (P x)))))
| pinvl pel popl (invL x1) := (pinvl _ (inductionB pinvl pel popl x1))
| pinvl pel popl eL := pel
| pinvl pel popl (opL x1 x2) := (popl _ _ (inductionB pinvl pel popl x1) (inductionB pinvl pel popl x2))
def inductionCl {A : Type} {P : ((ClLeftInverseClTerm A) → Type)} : ((∀ (x1 : A) , (P (sing x1))) → ((∀ (x1 : (ClLeftInverseClTerm A)) , ((P x1) → (P (invCl x1)))) → ((P eCl) → ((∀ (x1 x2 : (ClLeftInverseClTerm A)) , ((P x1) → ((P x2) → (P (opCl x1 x2))))) → (∀ (x : (ClLeftInverseClTerm A)) , (P x))))))
| psing pinvcl pecl popcl (sing x1) := (psing x1)
| psing pinvcl pecl popcl (invCl x1) := (pinvcl _ (inductionCl psing pinvcl pecl popcl x1))
| psing pinvcl pecl popcl eCl := pecl
| psing pinvcl pecl popcl (opCl x1 x2) := (popcl _ _ (inductionCl psing pinvcl pecl popcl x1) (inductionCl psing pinvcl pecl popcl x2))
def inductionOpB {n : ℕ} {P : ((OpLeftInverseOLTerm n) → Type)} : ((∀ (fin : (fin n)) , (P (v fin))) → ((∀ (x1 : (OpLeftInverseOLTerm n)) , ((P x1) → (P (invOL x1)))) → ((P eOL) → ((∀ (x1 x2 : (OpLeftInverseOLTerm n)) , ((P x1) → ((P x2) → (P (opOL x1 x2))))) → (∀ (x : (OpLeftInverseOLTerm n)) , (P x))))))
| pv pinvol peol popol (v x1) := (pv x1)
| pv pinvol peol popol (invOL x1) := (pinvol _ (inductionOpB pv pinvol peol popol x1))
| pv pinvol peol popol eOL := peol
| pv pinvol peol popol (opOL x1 x2) := (popol _ _ (inductionOpB pv pinvol peol popol x1) (inductionOpB pv pinvol peol popol x2))
def inductionOp {n : ℕ} {A : Type} {P : ((OpLeftInverseOL2Term2 n A) → Type)} : ((∀ (fin : (fin n)) , (P (v2 fin))) → ((∀ (x1 : A) , (P (sing2 x1))) → ((∀ (x1 : (OpLeftInverseOL2Term2 n A)) , ((P x1) → (P (invOL2 x1)))) → ((P eOL2) → ((∀ (x1 x2 : (OpLeftInverseOL2Term2 n A)) , ((P x1) → ((P x2) → (P (opOL2 x1 x2))))) → (∀ (x : (OpLeftInverseOL2Term2 n A)) , (P x)))))))
| pv2 psing2 pinvol2 peol2 popol2 (v2 x1) := (pv2 x1)
| pv2 psing2 pinvol2 peol2 popol2 (sing2 x1) := (psing2 x1)
| pv2 psing2 pinvol2 peol2 popol2 (invOL2 x1) := (pinvol2 _ (inductionOp pv2 psing2 pinvol2 peol2 popol2 x1))
| pv2 psing2 pinvol2 peol2 popol2 eOL2 := peol2
| pv2 psing2 pinvol2 peol2 popol2 (opOL2 x1 x2) := (popol2 _ _ (inductionOp pv2 psing2 pinvol2 peol2 popol2 x1) (inductionOp pv2 psing2 pinvol2 peol2 popol2 x2))
def stageB : (LeftInverseLTerm → (Staged LeftInverseLTerm))
| (invL x1) := (stage1 invL (codeLift1 invL) (stageB x1))
| eL := (Now eL)
| (opL x1 x2) := (stage2 opL (codeLift2 opL) (stageB x1) (stageB x2))
def stageCl {A : Type} : ((ClLeftInverseClTerm A) → (Staged (ClLeftInverseClTerm A)))
| (sing x1) := (Now (sing x1))
| (invCl x1) := (stage1 invCl (codeLift1 invCl) (stageCl x1))
| eCl := (Now eCl)
| (opCl x1 x2) := (stage2 opCl (codeLift2 opCl) (stageCl x1) (stageCl x2))
def stageOpB {n : ℕ} : ((OpLeftInverseOLTerm n) → (Staged (OpLeftInverseOLTerm n)))
| (v x1) := (const (code (v x1)))
| (invOL x1) := (stage1 invOL (codeLift1 invOL) (stageOpB x1))
| eOL := (Now eOL)
| (opOL x1 x2) := (stage2 opOL (codeLift2 opOL) (stageOpB x1) (stageOpB x2))
def stageOp {n : ℕ} {A : Type} : ((OpLeftInverseOL2Term2 n A) → (Staged (OpLeftInverseOL2Term2 n A)))
| (sing2 x1) := (Now (sing2 x1))
| (v2 x1) := (const (code (v2 x1)))
| (invOL2 x1) := (stage1 invOL2 (codeLift1 invOL2) (stageOp x1))
| eOL2 := (Now eOL2)
| (opOL2 x1 x2) := (stage2 opOL2 (codeLift2 opOL2) (stageOp x1) (stageOp x2))
structure StagedRepr (A : Type) (Repr : (Type → Type)) : Type :=
(invT : ((Repr A) → (Repr A)))
(eT : (Repr A))
(opT : ((Repr A) → ((Repr A) → (Repr A))))
end LeftInverse |
3cd12503850c313f77ede83c9292e91549ce794b | df7bb3acd9623e489e95e85d0bc55590ab0bc393 | /lean/love10_denotational_semantics_exercise_sheet.lean | fda37557391ff243244fdde3aaae00ba842bfb4e | [] | no_license | MaschavanderMarel/logical_verification_2020 | a41c210b9237c56cb35f6cd399e3ac2fe42e775d | 7d562ef174cc6578ca6013f74db336480470b708 | refs/heads/master | 1,692,144,223,196 | 1,634,661,675,000 | 1,634,661,675,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,606 | lean | import .love10_denotational_semantics_demo
/- # LoVe Exercise 10: Denotational Semantics -/
set_option pp.beta true
set_option pp.generalized_field_notation false
namespace LoVe
/- ## Question 1: Monotonicity
1.1. Prove the following lemma from the lecture. -/
lemma monotone_comp {α β : Type} [partial_order α] (f g : α → set (β × β))
(hf : monotone f) (hg : monotone g) :
monotone (λa, f a ◯ g a) :=
sorry
/- 1.2. Prove its cousin. -/
lemma monotone_restrict {α β : Type} [partial_order α] (f : α → set (β × β))
(p : β → Prop) (hf : monotone f) :
monotone (λa, f a ⇃ p) :=
sorry
/- ## Question 2: Regular Expressions
__Regular expressions__, or __regexes__, are a highly popular tool for software
development, to analyze textual inputs. Regexes are generated by the following
grammar:
R ::= ∅
| ε
| a
| R ⬝ R
| R + R
| R*
Informally, the semantics of regular expressions is as follows:
* `∅` accepts nothing;
* `ε` accepts the empty string;
* `a` accepts the atom `a`;
* `R ⬝ R` accepts the concatenation of two regexes;
* `R + R` accepts either of two regexes;
* `R*` accepts arbitrary many repetitions of a regex.
Notice the rough correspondence with a WHILE language:
`∅` ~ diverging statement (e.g., `while true do skip`)
`ε` ~ `skip`
`a` ~ `:=`
`⬝` ~ `;`
`+` ~ `if then else`
`*` ~ `while` loop -/
inductive regex (α : Type) : Type
| nothing {} : regex
| empty {} : regex
| atom : α → regex
| concat : regex → regex → regex
| alt : regex → regex → regex
| star : regex → regex
/- In this exercise, we explore an alternative semantics of regular
expressions. Namely, we can imagine that the atoms represent binary relations,
instead of letters or symbols. Concatenation corresponds to composition of
relations, and alternation is union. Mathematically, regexes and binary
relations are both instances of Kleene algebras.
2.1. Complete the following translation of regular expressions to relations.
Hint: Exploit the correspondence with the WHILE language. -/
def rel_of_regex {α : Type} : regex (set (α × α)) → set (α × α)
| regex.nothing := ∅
| regex.empty := Id
| (regex.atom s) := s
-- enter the missing cases here
/- 2.2. Prove the following recursive equation about your definition. -/
lemma rel_of_regex_star {α : Type} (r : regex (set (α × α))) :
rel_of_regex (regex.star r) =
rel_of_regex (regex.alt (regex.concat r (regex.star r)) regex.empty) :=
sorry
end LoVe
|
da21b6242154fbd25491c3eb1b0eec788127405f | 94e33a31faa76775069b071adea97e86e218a8ee | /src/order/well_founded_set.lean | 5330367f08fff0e648eb0d4a209d42c9ffcb9b31 | [
"Apache-2.0"
] | permissive | urkud/mathlib | eab80095e1b9f1513bfb7f25b4fa82fa4fd02989 | 6379d39e6b5b279df9715f8011369a301b634e41 | refs/heads/master | 1,658,425,342,662 | 1,658,078,703,000 | 1,658,078,703,000 | 186,910,338 | 0 | 0 | Apache-2.0 | 1,568,512,083,000 | 1,557,958,709,000 | Lean | UTF-8 | Lean | false | false | 35,771 | lean | /-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import data.set.pointwise
import order.antichain
import order.order_iso_nat
import order.well_founded
/-!
# Well-founded sets
A well-founded subset of an ordered type is one on which the relation `<` is well-founded.
## Main Definitions
* `set.well_founded_on s r` indicates that the relation `r` is
well-founded when restricted to the set `s`.
* `set.is_wf s` indicates that `<` is well-founded when restricted to `s`.
* `set.partially_well_ordered_on s r` indicates that the relation `r` is
partially well-ordered (also known as well quasi-ordered) when restricted to the set `s`.
* `set.is_pwo s` indicates that any infinite sequence of elements in `s`
contains an infinite monotone subsequence. Note that
### Definitions for Hahn Series
* `set.add_antidiagonal s t a` and `set.mul_antidiagonal s t a` are the sets of pairs of elements
from `s` and `t` that add/multiply to `a`.
* `finset.add_antidiagonal` and `finset.mul_antidiagonal` are finite versions of
`set.add_antidiagonal` and `set.mul_antidiagonal` defined when `s` and `t` are well-founded.
## Main Results
* Higman's Lemma, `set.partially_well_ordered_on.partially_well_ordered_on_sublist_forall₂`,
shows that if `r` is partially well-ordered on `s`, then `list.sublist_forall₂` is partially
well-ordered on the set of lists of elements of `s`. The result was originally published by
Higman, but this proof more closely follows Nash-Williams.
* `set.well_founded_on_iff` relates `well_founded_on` to the well-foundedness of a relation on the
original type, to avoid dealing with subtypes.
* `set.is_wf.mono` shows that a subset of a well-founded subset is well-founded.
* `set.is_wf.union` shows that the union of two well-founded subsets is well-founded.
* `finset.is_wf` shows that all `finset`s are well-founded.
## TODO
Prove that `s` is partial well ordered iff it has no infinite descending chain or antichain.
## References
* [Higman, *Ordering by Divisibility in Abstract Algebras*][Higman52]
* [Nash-Williams, *On Well-Quasi-Ordering Finite Trees*][Nash-Williams63]
-/
open_locale pointwise
variables {α : Type*}
namespace set
/-- `s.well_founded_on r` indicates that the relation `r` is well-founded when restricted to `s`. -/
def well_founded_on (s : set α) (r : α → α → Prop) : Prop :=
well_founded (λ (a : s) (b : s), r a b)
@[simp] lemma well_founded_on_empty (r : α → α → Prop) : well_founded_on ∅ r :=
well_founded_of_empty _
lemma well_founded_on_iff {s : set α} {r : α → α → Prop} :
s.well_founded_on r ↔ well_founded (λ (a b : α), r a b ∧ a ∈ s ∧ b ∈ s) :=
begin
have f : rel_embedding (λ (a : s) (b : s), r a b) (λ (a b : α), r a b ∧ a ∈ s ∧ b ∈ s) :=
⟨⟨coe, subtype.coe_injective⟩, λ a b, by simp⟩,
refine ⟨λ h, _, f.well_founded⟩,
rw well_founded.well_founded_iff_has_min,
intros t ht,
by_cases hst : (s ∩ t).nonempty,
{ rw ← subtype.preimage_coe_nonempty at hst,
rcases h.has_min (coe ⁻¹' t) hst with ⟨⟨m, ms⟩, mt, hm⟩,
exact ⟨m, mt, λ x xt ⟨xm, xs, ms⟩, hm ⟨x, xs⟩ xt xm⟩ },
{ rcases ht with ⟨m, mt⟩,
exact ⟨m, mt, λ x xt ⟨xm, xs, ms⟩, hst ⟨m, ⟨ms, mt⟩⟩⟩ }
end
lemma well_founded_on.induction {s : set α} {r : α → α → Prop} (hs : s.well_founded_on r) {x : α}
(hx : x ∈ s) {P : α → Prop} (hP : ∀ (y ∈ s), (∀ (z ∈ s), r z y → P z) → P y) :
P x :=
begin
let Q : s → Prop := λ y, P y,
change Q ⟨x, hx⟩,
refine well_founded.induction hs ⟨x, hx⟩ _,
rintros ⟨y, ys⟩ ih,
exact hP _ ys (λ z zs zy, ih ⟨z, zs⟩ zy),
end
instance is_strict_order.subset {s : set α} {r : α → α → Prop} [is_strict_order α r] :
is_strict_order α (λ (a b : α), r a b ∧ a ∈ s ∧ b ∈ s) :=
{ to_is_irrefl := ⟨λ a con, irrefl_of r a con.1 ⟩,
to_is_trans := ⟨λ a b c ab bc, ⟨trans_of r ab.1 bc.1, ab.2.1, bc.2.2⟩ ⟩ }
theorem well_founded_on_iff_no_descending_seq {s : set α} {r : α → α → Prop} [is_strict_order α r] :
s.well_founded_on r ↔ ∀ (f : ((>) : ℕ → ℕ → Prop) ↪r r), ¬ (range f) ⊆ s :=
begin
rw [well_founded_on_iff, rel_embedding.well_founded_iff_no_descending_seq],
refine ⟨λ h f con, begin
refine h.elim' ⟨⟨f, f.injective⟩, λ a b, _⟩,
simp only [con (mem_range_self a), con (mem_range_self b), and_true, gt_iff_lt,
function.embedding.coe_fn_mk, f.map_rel_iff]
end, λ h, ⟨λ con, _⟩⟩,
rcases con with ⟨f, hf⟩,
have hfs' : ∀ n : ℕ, f n ∈ s := λ n, (hf.2 n.lt_succ_self).2.2,
refine h ⟨f, λ a b, _⟩ (λ n hn, _),
{ rw ← hf,
exact ⟨λ h, ⟨h, hfs' _, hfs' _⟩, λ h, h.1⟩ },
{ rcases set.mem_range.1 hn with ⟨m, hm⟩,
rw ← hm,
apply hfs' }
end
section has_lt
variables [has_lt α]
/-- `s.is_wf` indicates that `<` is well-founded when restricted to `s`. -/
def is_wf (s : set α) : Prop := well_founded_on s (<)
@[simp] lemma is_wf_empty : is_wf (∅ : set α) := well_founded_of_empty _
lemma is_wf_univ_iff : is_wf (univ : set α) ↔ well_founded ((<) : α → α → Prop) :=
by simp [is_wf, well_founded_on_iff]
variables {s t : set α}
theorem is_wf.mono (h : is_wf t) (st : s ⊆ t) : is_wf s :=
begin
rw [is_wf, well_founded_on_iff] at *,
refine subrelation.wf (λ x y xy, _) h,
exact ⟨xy.1, st xy.2.1, st xy.2.2⟩,
end
end has_lt
section partial_order
variables [partial_order α] {s t : set α} {a : α}
theorem is_wf_iff_no_descending_seq : is_wf s ↔ ∀ f : ℕᵒᵈ ↪o α, ¬ (range f) ⊆ s :=
begin
haveI : is_strict_order α (λ (a b : α), a < b ∧ a ∈ s ∧ b ∈ s) :=
{ to_is_irrefl := ⟨λ x con, lt_irrefl x con.1⟩,
to_is_trans := ⟨λ a b c ab bc, ⟨lt_trans ab.1 bc.1, ab.2.1, bc.2.2⟩⟩, },
rw [is_wf, well_founded_on_iff_no_descending_seq],
exact ⟨λ h f, h f.lt_embedding, λ h f, h (order_embedding.of_strict_mono
f (λ _ _, f.map_rel_iff.2))⟩,
end
theorem is_wf.union (hs : is_wf s) (ht : is_wf t) : is_wf (s ∪ t) :=
begin
classical,
rw [is_wf_iff_no_descending_seq] at *,
rintros f fst,
have h : (f ⁻¹' s).infinite ∨ (f ⁻¹' t).infinite,
{ have h : (univ : set ℕ).infinite := infinite_univ,
have hpre : f ⁻¹' (s ∪ t) = set.univ,
{ rw [← image_univ, image_subset_iff, univ_subset_iff] at fst,
exact fst },
rw preimage_union at hpre,
rw ← hpre at h,
rw [set.infinite, set.infinite],
rw set.infinite at h,
contrapose! h,
exact finite.union h.1 h.2, },
rw [← infinite_coe_iff, ← infinite_coe_iff] at h,
cases h with inf inf; haveI := inf,
{ apply hs ((nat.order_embedding_of_set (f ⁻¹' s)).dual.trans f),
change range (function.comp f (nat.order_embedding_of_set (f ⁻¹' s))) ⊆ s,
rw [range_comp, image_subset_iff],
simp },
{ apply ht ((nat.order_embedding_of_set (f ⁻¹' t)).dual.trans f),
change range (function.comp f (nat.order_embedding_of_set (f ⁻¹' t))) ⊆ t,
rw [range_comp, image_subset_iff],
simp }
end
end partial_order
end set
namespace set
/-- A subset is partially well-ordered by a relation `r` when any infinite sequence contains
two elements where the first is related to the second by `r`. -/
def partially_well_ordered_on (s) (r : α → α → Prop) : Prop :=
∀ (f : ℕ → α), range f ⊆ s → ∃ (m n : ℕ), m < n ∧ r (f m) (f n)
@[simp] theorem partially_well_ordered_on_empty (r : α → α → Prop) :
partially_well_ordered_on (∅ : set α) r :=
λ f h, begin
rw subset_empty_iff at h,
exact ((range_nonempty f).ne_empty h).elim
end
/-- A subset of a preorder is partially well-ordered when any infinite sequence contains
a monotone subsequence of length 2 (or equivalently, an infinite monotone subsequence). -/
def is_pwo [preorder α] (s) : Prop :=
partially_well_ordered_on s ((≤) : α → α → Prop)
@[simp] theorem is_pwo_empty [preorder α] : is_pwo (∅ : set α) := partially_well_ordered_on_empty _
theorem partially_well_ordered_on.mono {s t : set α} {r : α → α → Prop}
(ht : t.partially_well_ordered_on r) (hsub : s ⊆ t) :
s.partially_well_ordered_on r :=
λ f hf, ht f (set.subset.trans hf hsub)
theorem is_pwo.mono [preorder α] {s t : set α}
(ht : t.is_pwo) (hsub : s ⊆ t) :
s.is_pwo :=
partially_well_ordered_on.mono ht hsub
theorem partially_well_ordered_on.image_of_monotone_on {s : set α}
{r : α → α → Prop} {β : Type*} {r' : β → β → Prop}
(hs : s.partially_well_ordered_on r) {f : α → β}
(hf : ∀ a1 a2 : α, a1 ∈ s → a2 ∈ s → r a1 a2 → r' (f a1) (f a2)) :
(f '' s).partially_well_ordered_on r' :=
λ g hg, begin
have h := λ (n : ℕ), ((mem_image _ _ _).1 (hg (mem_range_self n))),
obtain ⟨m, n, hlt, hmn⟩ := hs (λ n, classical.some (h n)) _,
{ refine ⟨m, n, hlt, _⟩,
rw [← (classical.some_spec (h m)).2,
← (classical.some_spec (h n)).2],
exact hf _ _ (classical.some_spec (h m)).1 (classical.some_spec (h n)).1 hmn },
{ rintros _ ⟨n, rfl⟩,
exact (classical.some_spec (h n)).1 }
end
lemma _root_.is_antichain.finite_of_partially_well_ordered_on {s : set α} {r : α → α → Prop}
(ha : is_antichain r s) (hp : s.partially_well_ordered_on r) :
s.finite :=
begin
refine finite_or_infinite.resolve_right (λ hi, _),
obtain ⟨m, n, hmn, h⟩ := hp (λ n, hi.nat_embedding _ n) (range_subset_iff.2 $
λ n, (hi.nat_embedding _ n).2),
exact hmn.ne ((hi.nat_embedding _).injective $ subtype.val_injective $
ha.eq (hi.nat_embedding _ m).2 (hi.nat_embedding _ n).2 h),
end
lemma finite.partially_well_ordered_on {s : set α} {r : α → α → Prop} [is_refl α r]
(hs : s.finite) :
s.partially_well_ordered_on r :=
begin
intros f hf,
obtain ⟨m, n, hmn, h⟩ := hs.exists_lt_map_eq_of_range_subset hf,
exact ⟨m, n, hmn, h.subst $ refl (f m)⟩,
end
lemma _root_.is_antichain.partially_well_ordered_on_iff {s : set α} {r : α → α → Prop} [is_refl α r]
(hs : is_antichain r s) :
s.partially_well_ordered_on r ↔ s.finite :=
⟨hs.finite_of_partially_well_ordered_on, finite.partially_well_ordered_on⟩
lemma partially_well_ordered_on_iff_finite_antichains {s : set α} {r : α → α → Prop} [is_refl α r]
[is_symm α r] :
s.partially_well_ordered_on r ↔ ∀ t ⊆ s, is_antichain r t → t.finite :=
begin
refine ⟨λ h t ht hrt, hrt.finite_of_partially_well_ordered_on (h.mono ht), _⟩,
rintro hs f hf,
by_contra' H,
refine set.infinite_range_of_injective (λ m n hmn, _) (hs _ hf _),
{ obtain h | h | h := lt_trichotomy m n,
{ refine (H _ _ h _).elim,
rw hmn,
exact refl _ },
{ exact h },
{ refine (H _ _ h _).elim,
rw hmn,
exact refl _ } },
rintro _ ⟨m, hm, rfl⟩ _ ⟨n, hn, rfl⟩ hmn,
obtain h | h := (ne_of_apply_ne _ hmn).lt_or_lt,
{ exact H _ _ h },
{ exact mt symm (H _ _ h) }
end
section partial_order
variables {s : set α} {t : set α} {r : α → α → Prop}
theorem partially_well_ordered_on.exists_monotone_subseq [is_refl α r] [is_trans α r]
(h : s.partially_well_ordered_on r) (f : ℕ → α) (hf : range f ⊆ s) :
∃ (g : ℕ ↪o ℕ), ∀ m n : ℕ, m ≤ n → r (f (g m)) (f (g n)) :=
begin
obtain ⟨g, h1 | h2⟩ := exists_increasing_or_nonincreasing_subseq r f,
{ refine ⟨g, λ m n hle, _⟩,
obtain hlt | heq := lt_or_eq_of_le hle,
{ exact h1 m n hlt, },
{ rw [heq],
apply refl_of r } },
{ exfalso,
obtain ⟨m, n, hlt, hle⟩ := h (f ∘ g) (subset.trans (range_comp_subset_range _ _) hf),
exact h2 m n hlt hle }
end
theorem partially_well_ordered_on_iff_exists_monotone_subseq [is_refl α r] [is_trans α r] :
s.partially_well_ordered_on r ↔
∀ f : ℕ → α, range f ⊆ s → ∃ (g : ℕ ↪o ℕ), ∀ m n : ℕ, m ≤ n → r (f (g m)) (f (g n)) :=
begin
classical,
split; intros h f hf,
{ exact h.exists_monotone_subseq f hf },
{ obtain ⟨g, gmon⟩ := h f hf,
refine ⟨g 0, g 1, g.lt_iff_lt.2 zero_lt_one, gmon _ _ zero_le_one⟩, }
end
lemma partially_well_ordered_on.well_founded_on [is_partial_order α r]
(h : s.partially_well_ordered_on r) :
s.well_founded_on (λ a b, r a b ∧ a ≠ b) :=
begin
haveI : is_strict_order α (λ a b, r a b ∧ a ≠ b) :=
{ to_is_irrefl := ⟨λ a con, con.2 rfl⟩,
to_is_trans := ⟨λ a b c ab bc, ⟨trans ab.1 bc.1,
λ ac, ab.2 (antisymm ab.1 (ac.symm ▸ bc.1))⟩⟩ },
rw well_founded_on_iff_no_descending_seq,
intros f con,
obtain ⟨m, n, hlt, hle⟩ := h f con,
exact (f.map_rel_iff.2 hlt).2 (antisymm hle (f.map_rel_iff.2 hlt).1).symm,
end
variables [partial_order α]
lemma is_pwo.is_wf (h : s.is_pwo) :
s.is_wf :=
begin
rw [is_wf],
convert h.well_founded_on,
ext x y,
rw lt_iff_le_and_ne,
end
theorem is_pwo.exists_monotone_subseq
(h : s.is_pwo) (f : ℕ → α) (hf : range f ⊆ s) :
∃ (g : ℕ ↪o ℕ), monotone (f ∘ g) :=
h.exists_monotone_subseq f hf
theorem is_pwo_iff_exists_monotone_subseq :
s.is_pwo ↔
∀ f : ℕ → α, range f ⊆ s → ∃ (g : ℕ ↪o ℕ), monotone (f ∘ g) :=
partially_well_ordered_on_iff_exists_monotone_subseq
lemma is_pwo.prod (hs : s.is_pwo)
(ht : t.is_pwo) :
(s ×ˢ t : set _).is_pwo :=
begin
classical,
rw is_pwo_iff_exists_monotone_subseq at *,
intros f hf,
obtain ⟨g1, h1⟩ := hs (prod.fst ∘ f) _,
swap,
{ rw [range_comp, image_subset_iff],
refine subset.trans hf _,
rintros ⟨x1, x2⟩ hx,
simp only [mem_preimage, hx.1] },
obtain ⟨g2, h2⟩ := ht (prod.snd ∘ f ∘ g1) _,
refine ⟨g2.trans g1, λ m n mn, _⟩,
swap,
{ rw [range_comp, image_subset_iff],
refine subset.trans (range_comp_subset_range _ _) (subset.trans hf _),
rintros ⟨x1, x2⟩ hx,
simp only [mem_preimage, hx.2] },
simp only [rel_embedding.coe_trans, function.comp_app],
exact ⟨h1 (g2.le_iff_le.2 mn), h2 mn⟩,
end
theorem is_pwo.image_of_monotone {β : Type*} [partial_order β]
(hs : s.is_pwo) {f : α → β} (hf : monotone f) :
is_pwo (f '' s) :=
hs.image_of_monotone_on (λ _ _ _ _ ab, hf ab)
theorem is_pwo.union (hs : is_pwo s) (ht : is_pwo t) : is_pwo (s ∪ t) :=
begin
classical,
rw [is_pwo_iff_exists_monotone_subseq] at *,
rintros f fst,
have h : (f ⁻¹' s).infinite ∨ (f ⁻¹' t).infinite,
{ have h : (univ : set ℕ).infinite := infinite_univ,
have hpre : f ⁻¹' (s ∪ t) = set.univ,
{ rw [← image_univ, image_subset_iff, univ_subset_iff] at fst,
exact fst },
rw preimage_union at hpre,
rw ← hpre at h,
rw [set.infinite, set.infinite],
rw set.infinite at h,
contrapose! h,
exact finite.union h.1 h.2, },
rw [← infinite_coe_iff, ← infinite_coe_iff] at h,
cases h with inf inf; haveI := inf,
{ obtain ⟨g, hg⟩ := hs (f ∘ (nat.order_embedding_of_set (f ⁻¹' s))) _,
{ rw [function.comp.assoc, ← rel_embedding.coe_trans] at hg,
exact ⟨_, hg⟩ },
rw [range_comp, image_subset_iff],
simp },
{ obtain ⟨g, hg⟩ := ht (f ∘ (nat.order_embedding_of_set (f ⁻¹' t))) _,
{ rw [function.comp.assoc, ← rel_embedding.coe_trans] at hg,
exact ⟨_, hg⟩ },
rw [range_comp, image_subset_iff],
simp }
end
end partial_order
theorem is_wf.is_pwo [linear_order α] {s : set α}
(hs : s.is_wf) : s.is_pwo :=
λ f hf, begin
rw [is_wf, well_founded_on_iff] at hs,
have hrange : (range f).nonempty := ⟨f 0, mem_range_self 0⟩,
let a := hs.min (range f) hrange,
obtain ⟨m, hm⟩ := hs.min_mem (range f) hrange,
refine ⟨m, m.succ, m.lt_succ_self, le_of_not_lt (λ con, _)⟩,
rw hm at con,
apply hs.not_lt_min (range f) hrange (mem_range_self m.succ)
⟨con, hf (mem_range_self m.succ), hf _⟩,
rw ← hm,
apply mem_range_self,
end
theorem is_wf_iff_is_pwo [linear_order α] {s : set α} :
s.is_wf ↔ s.is_pwo :=
⟨is_wf.is_pwo, is_pwo.is_wf⟩
end set
namespace finset
@[simp] lemma partially_well_ordered_on {r : α → α → Prop} [is_refl α r] (s : finset α) :
(s : set α).partially_well_ordered_on r :=
s.finite_to_set.partially_well_ordered_on
@[simp]
theorem is_pwo [partial_order α] (f : finset α) :
set.is_pwo (↑f : set α) :=
f.partially_well_ordered_on
@[simp]
theorem well_founded_on {r : α → α → Prop} [is_strict_order α r] (f : finset α) :
set.well_founded_on (↑f : set α) r :=
begin
rw [set.well_founded_on_iff_no_descending_seq],
intros g con,
apply set.infinite_of_injective_forall_mem g.injective (set.range_subset_iff.1 con),
exact f.finite_to_set,
end
@[simp]
theorem is_wf [partial_order α] (f : finset α) : set.is_wf (↑f : set α) :=
f.is_pwo.is_wf
end finset
namespace set
variables [partial_order α] {s : set α} {a : α}
theorem finite.is_pwo (h : s.finite) : s.is_pwo :=
begin
rw ← h.coe_to_finset,
exact h.to_finset.is_pwo,
end
@[simp]
theorem fintype.is_pwo [fintype α] : s.is_pwo := s.to_finite.is_pwo
@[simp]
theorem is_pwo_singleton (a) : is_pwo ({a} : set α) :=
(finite_singleton a).is_pwo
theorem is_pwo.insert (a) (hs : is_pwo s) : is_pwo (insert a s) :=
by { rw ← union_singleton, exact hs.union (is_pwo_singleton a) }
/-- `is_wf.min` returns a minimal element of a nonempty well-founded set. -/
noncomputable def is_wf.min (hs : is_wf s) (hn : s.nonempty) : α :=
hs.min univ (nonempty_iff_univ_nonempty.1 hn.to_subtype)
lemma is_wf.min_mem (hs : is_wf s) (hn : s.nonempty) : hs.min hn ∈ s :=
(well_founded.min hs univ (nonempty_iff_univ_nonempty.1 hn.to_subtype)).2
lemma is_wf.not_lt_min (hs : is_wf s) (hn : s.nonempty) (ha : a ∈ s) : ¬ a < hs.min hn :=
hs.not_lt_min univ (nonempty_iff_univ_nonempty.1 hn.to_subtype) (mem_univ (⟨a, ha⟩ : s))
@[simp]
lemma is_wf_min_singleton (a) {hs : is_wf ({a} : set α)} {hn : ({a} : set α).nonempty} :
hs.min hn = a :=
eq_of_mem_singleton (is_wf.min_mem hs hn)
end set
theorem finset.is_wf_sup {ι : Type*} [partial_order α] (f : finset ι) (g : ι → set α)
(hf : ∀ i : ι, i ∈ f → (g i).is_wf) : (f.sup g).is_wf :=
finset.sup_induction set.is_pwo_empty.is_wf (λ a ha b hb, ha.union hb) hf
theorem finset.is_pwo_sup {ι : Type*} [partial_order α] (f : finset ι) (g : ι → set α)
(hf : ∀ i : ι, i ∈ f → (g i).is_pwo) : (f.sup g).is_pwo :=
finset.sup_induction set.is_pwo_empty (λ a ha b hb, ha.union hb) hf
namespace set
variables [linear_order α] {s t : set α} {a : α}
lemma is_wf.min_le
(hs : s.is_wf) (hn : s.nonempty) (ha : a ∈ s) : hs.min hn ≤ a :=
le_of_not_lt (hs.not_lt_min hn ha)
lemma is_wf.le_min_iff
(hs : s.is_wf) (hn : s.nonempty) :
a ≤ hs.min hn ↔ ∀ b, b ∈ s → a ≤ b :=
⟨λ ha b hb, le_trans ha (hs.min_le hn hb), λ h, h _ (hs.min_mem _)⟩
lemma is_wf.min_le_min_of_subset
{hs : s.is_wf} {hsn : s.nonempty} {ht : t.is_wf} {htn : t.nonempty} (hst : s ⊆ t) :
ht.min htn ≤ hs.min hsn :=
(is_wf.le_min_iff _ _).2 (λ b hb, ht.min_le htn (hst hb))
lemma is_wf.min_union (hs : s.is_wf) (hsn : s.nonempty) (ht : t.is_wf) (htn : t.nonempty) :
(hs.union ht).min (union_nonempty.2 (or.intro_left _ hsn)) = min (hs.min hsn) (ht.min htn) :=
begin
refine le_antisymm (le_min (is_wf.min_le_min_of_subset (subset_union_left _ _))
(is_wf.min_le_min_of_subset (subset_union_right _ _))) _,
rw min_le_iff,
exact ((mem_union _ _ _).1 ((hs.union ht).min_mem
(union_nonempty.2 (or.intro_left _ hsn)))).imp (hs.min_le _) (ht.min_le _),
end
end set
namespace set
variables {s : set α} {t : set α}
@[to_additive]
theorem is_pwo.mul [ordered_cancel_comm_monoid α] (hs : s.is_pwo) (ht : t.is_pwo) :
is_pwo (s * t) :=
begin
rw ← image_mul_prod,
exact (is_pwo.prod hs ht).image_of_monotone (λ _ _ h, mul_le_mul' h.1 h.2),
end
variable [linear_ordered_cancel_comm_monoid α]
@[to_additive]
theorem is_wf.mul (hs : s.is_wf) (ht : t.is_wf) : is_wf (s * t) :=
(hs.is_pwo.mul ht.is_pwo).is_wf
@[to_additive]
theorem is_wf.min_mul (hs : s.is_wf) (ht : t.is_wf) (hsn : s.nonempty) (htn : t.nonempty) :
(hs.mul ht).min (hsn.mul htn) = hs.min hsn * ht.min htn :=
begin
refine le_antisymm (is_wf.min_le _ _ (mem_mul.2 ⟨_, _, hs.min_mem _, ht.min_mem _, rfl⟩)) _,
rw is_wf.le_min_iff,
rintros _ ⟨x, y, hx, hy, rfl⟩,
exact mul_le_mul' (hs.min_le _ hx) (ht.min_le _ hy),
end
end set
namespace set
namespace partially_well_ordered_on
/-- In the context of partial well-orderings, a bad sequence is a nonincreasing sequence
whose range is contained in a particular set `s`. One exists if and only if `s` is not
partially well-ordered. -/
def is_bad_seq (r : α → α → Prop) (s : set α) (f : ℕ → α) : Prop :=
set.range f ⊆ s ∧ ∀ (m n : ℕ), m < n → ¬ r (f m) (f n)
lemma iff_forall_not_is_bad_seq (r : α → α → Prop) (s : set α) :
s.partially_well_ordered_on r ↔
∀ f, ¬ is_bad_seq r s f :=
begin
rw [set.partially_well_ordered_on],
apply forall_congr (λ f, _),
simp [is_bad_seq]
end
/-- This indicates that every bad sequence `g` that agrees with `f` on the first `n`
terms has `rk (f n) ≤ rk (g n)`. -/
def is_min_bad_seq (r : α → α → Prop) (rk : α → ℕ) (s : set α) (n : ℕ) (f : ℕ → α) : Prop :=
∀ g : ℕ → α, (∀ (m : ℕ), m < n → f m = g m) → rk (g n) < rk (f n) → ¬ is_bad_seq r s g
/-- Given a bad sequence `f`, this constructs a bad sequence that agrees with `f` on the first `n`
terms and is minimal at `n`.
-/
noncomputable def min_bad_seq_of_bad_seq (r : α → α → Prop) (rk : α → ℕ) (s : set α)
(n : ℕ) (f : ℕ → α) (hf : is_bad_seq r s f) :
{ g : ℕ → α // (∀ (m : ℕ), m < n → f m = g m) ∧ is_bad_seq r s g ∧ is_min_bad_seq r rk s n g } :=
begin
classical,
have h : ∃ (k : ℕ) (g : ℕ → α), (∀ m, m < n → f m = g m) ∧ is_bad_seq r s g
∧ rk (g n) = k :=
⟨_, f, λ _ _, rfl, hf, rfl⟩,
obtain ⟨h1, h2, h3⟩ := classical.some_spec (nat.find_spec h),
refine ⟨classical.some (nat.find_spec h), h1, by convert h2, λ g hg1 hg2 con, _⟩,
refine nat.find_min h _ ⟨g, λ m mn, (h1 m mn).trans (hg1 m mn), by convert con, rfl⟩,
rwa ← h3,
end
lemma exists_min_bad_of_exists_bad (r : α → α → Prop) (rk : α → ℕ) (s : set α) :
(∃ f, is_bad_seq r s f) → ∃ f, is_bad_seq r s f ∧ ∀ n, is_min_bad_seq r rk s n f :=
begin
rintro ⟨f0, (hf0 : is_bad_seq r s f0)⟩,
let fs : Π (n : ℕ), { f : ℕ → α // is_bad_seq r s f ∧ is_min_bad_seq r rk s n f },
{ refine nat.rec _ _,
{ exact ⟨(min_bad_seq_of_bad_seq r rk s 0 f0 hf0).1,
(min_bad_seq_of_bad_seq r rk s 0 f0 hf0).2.2⟩, },
{ exact λ n fn, ⟨(min_bad_seq_of_bad_seq r rk s (n + 1) fn.1 fn.2.1).1,
(min_bad_seq_of_bad_seq r rk s (n + 1) fn.1 fn.2.1).2.2⟩ } },
have h : ∀ m n, m ≤ n → (fs m).1 m = (fs n).1 m,
{ intros m n mn,
obtain ⟨k, rfl⟩ := exists_add_of_le mn,
clear mn,
induction k with k ih,
{ refl },
rw [ih, ((min_bad_seq_of_bad_seq r rk s (m + k).succ (fs (m + k)).1 (fs (m + k)).2.1).2.1 m
(nat.lt_succ_iff.2 (nat.add_le_add_left k.zero_le m)))],
refl },
refine ⟨λ n, (fs n).1 n, ⟨set.range_subset_iff.2 (λ n, ((fs n).2).1.1 (mem_range_self n)),
λ m n mn, _⟩, λ n g hg1 hg2, _⟩,
{ dsimp,
rw [← subtype.val_eq_coe, h m n (le_of_lt mn)],
convert (fs n).2.1.2 m n mn },
{ convert (fs n).2.2 g (λ m mn, eq.trans _ (hg1 m mn)) (lt_of_lt_of_le hg2 le_rfl),
rw ← h m n (le_of_lt mn) },
end
lemma iff_not_exists_is_min_bad_seq {r : α → α → Prop} (rk : α → ℕ) {s : set α} :
s.partially_well_ordered_on r ↔ ¬ ∃ f, is_bad_seq r s f ∧ ∀ n, is_min_bad_seq r rk s n f :=
begin
rw [iff_forall_not_is_bad_seq, ← not_exists, not_congr],
split,
{ apply exists_min_bad_of_exists_bad },
rintro ⟨f, hf1, hf2⟩,
exact ⟨f, hf1⟩,
end
/-- Higman's Lemma, which states that for any reflexive, transitive relation `r` which is
partially well-ordered on a set `s`, the relation `list.sublist_forall₂ r` is partially
well-ordered on the set of lists of elements of `s`. That relation is defined so that
`list.sublist_forall₂ r l₁ l₂` whenever `l₁` related pointwise by `r` to a sublist of `l₂`. -/
lemma partially_well_ordered_on_sublist_forall₂ (r : α → α → Prop) [is_refl α r] [is_trans α r]
{s : set α} (h : s.partially_well_ordered_on r) :
{ l : list α | ∀ x, x ∈ l → x ∈ s }.partially_well_ordered_on (list.sublist_forall₂ r) :=
begin
rcases s.eq_empty_or_nonempty with rfl | ⟨as, has⟩,
{ apply partially_well_ordered_on.mono (finset.partially_well_ordered_on {list.nil}),
{ intros l hl,
rw [finset.mem_coe, finset.mem_singleton, list.eq_nil_iff_forall_not_mem],
exact hl, },
apply_instance },
haveI : inhabited α := ⟨as⟩,
rw [iff_not_exists_is_min_bad_seq (list.length)],
rintro ⟨f, hf1, hf2⟩,
have hnil : ∀ n, f n ≠ list.nil :=
λ n con, (hf1).2 n n.succ n.lt_succ_self (con.symm ▸ list.sublist_forall₂.nil),
obtain ⟨g, hg⟩ := h.exists_monotone_subseq (list.head ∘ f) _,
swap, { simp only [set.range_subset_iff, function.comp_apply],
exact λ n, hf1.1 (set.mem_range_self n) _ (list.head_mem_self (hnil n)) },
have hf' := hf2 (g 0) (λ n, if n < g 0 then f n else list.tail (f (g (n - g 0))))
(λ m hm, (if_pos hm).symm) _,
swap, { simp only [if_neg (lt_irrefl (g 0)), tsub_self],
rw [list.length_tail, ← nat.pred_eq_sub_one],
exact nat.pred_lt (λ con, hnil _ (list.length_eq_zero.1 con)) },
rw [is_bad_seq] at hf',
push_neg at hf',
obtain ⟨m, n, mn, hmn⟩ := hf' _,
swap, { rw set.range_subset_iff,
rintro n x hx,
split_ifs at hx with hn hn,
{ exact hf1.1 (set.mem_range_self _) _ hx },
{ refine hf1.1 (set.mem_range_self _) _ (list.tail_subset _ hx), } },
by_cases hn : n < g 0,
{ apply hf1.2 m n mn,
rwa [if_pos hn, if_pos (mn.trans hn)] at hmn },
{ obtain ⟨n', rfl⟩ := le_iff_exists_add.1 (not_lt.1 hn),
rw [if_neg hn, add_comm (g 0) n', add_tsub_cancel_right] at hmn,
split_ifs at hmn with hm hm,
{ apply hf1.2 m (g n') (lt_of_lt_of_le hm (g.monotone n'.zero_le)),
exact trans hmn (list.tail_sublist_forall₂_self _) },
{ rw [← (tsub_lt_iff_left (le_of_not_lt hm))] at mn,
apply hf1.2 _ _ (g.lt_iff_lt.2 mn),
rw [← list.cons_head_tail (hnil (g (m - g 0))), ← list.cons_head_tail (hnil (g n'))],
exact list.sublist_forall₂.cons (hg _ _ (le_of_lt mn)) hmn, } }
end
end partially_well_ordered_on
namespace is_pwo
@[to_additive]
lemma submonoid_closure [ordered_cancel_comm_monoid α] {s : set α} (hpos : ∀ x : α, x ∈ s → 1 ≤ x)
(h : s.is_pwo) : is_pwo ((submonoid.closure s) : set α) :=
begin
have hl : ((submonoid.closure s) : set α) ⊆ list.prod '' { l : list α | ∀ x, x ∈ l → x ∈ s },
{ intros x hx,
rw set_like.mem_coe at hx,
refine submonoid.closure_induction hx (λ x hx, ⟨_, λ y hy, _, list.prod_singleton⟩)
⟨_, λ y hy, (list.not_mem_nil _ hy).elim, list.prod_nil⟩ _,
{ rwa list.mem_singleton.1 hy },
rintros _ _ ⟨l, hl, rfl⟩ ⟨l', hl', rfl⟩,
refine ⟨_, λ y hy, _, list.prod_append⟩,
cases list.mem_append.1 hy with hy hy,
{ exact hl _ hy },
{ exact hl' _ hy } },
apply ((h.partially_well_ordered_on_sublist_forall₂ (≤)).image_of_monotone_on _).mono hl,
exact λ l1 l2 hl1 hl2 h12, h12.prod_le_prod' (λ x hx, hpos x $ hl2 x hx)
end
end is_pwo
/-- `set.mul_antidiagonal s t a` is the set of all pairs of an element in `s` and an element in `t`
that multiply to `a`. -/
@[to_additive "`set.add_antidiagonal s t a` is the set of all pairs of an element in `s`
and an element in `t` that add to `a`."]
def mul_antidiagonal [monoid α] (s t : set α) (a : α) : set (α × α) :=
{ x | x.1 * x.2 = a ∧ x.1 ∈ s ∧ x.2 ∈ t }
namespace mul_antidiagonal
@[simp, to_additive]
lemma mem_mul_antidiagonal [monoid α] {s t : set α} {a : α} {x : α × α} :
x ∈ mul_antidiagonal s t a ↔ x.1 * x.2 = a ∧ x.1 ∈ s ∧ x.2 ∈ t := iff.refl _
section cancel_comm_monoid
variables [cancel_comm_monoid α] {s t : set α} {a : α}
@[to_additive]
lemma fst_eq_fst_iff_snd_eq_snd {x y : (mul_antidiagonal s t a)} :
(x : α × α).fst = (y : α × α).fst ↔ (x : α × α).snd = (y : α × α).snd :=
⟨λ h, begin
have hx := x.2.1,
rw [subtype.val_eq_coe, h] at hx,
apply mul_left_cancel (hx.trans y.2.1.symm),
end, λ h, begin
have hx := x.2.1,
rw [subtype.val_eq_coe, h] at hx,
apply mul_right_cancel (hx.trans y.2.1.symm),
end⟩
@[to_additive]
lemma eq_of_fst_eq_fst {x y : (mul_antidiagonal s t a)}
(h : (x : α × α).fst = (y : α × α).fst) : x = y :=
subtype.ext (prod.ext h (mul_antidiagonal.fst_eq_fst_iff_snd_eq_snd.1 h))
@[to_additive]
lemma eq_of_snd_eq_snd {x y : (mul_antidiagonal s t a)}
(h : (x : α × α).snd = (y : α × α).snd) : x = y :=
subtype.ext (prod.ext (mul_antidiagonal.fst_eq_fst_iff_snd_eq_snd.2 h) h)
end cancel_comm_monoid
section ordered_cancel_comm_monoid
variables [ordered_cancel_comm_monoid α] (s t : set α) (a : α)
@[to_additive]
lemma eq_of_fst_le_fst_of_snd_le_snd {x y : (mul_antidiagonal s t a)}
(h1 : (x : α × α).fst ≤ (y : α × α).fst) (h2 : (x : α × α).snd ≤ (y : α × α).snd ) :
x = y :=
begin
apply eq_of_fst_eq_fst,
cases eq_or_lt_of_le h1 with heq hlt,
{ exact heq },
exfalso,
exact ne_of_lt (mul_lt_mul_of_lt_of_le hlt h2)
((mem_mul_antidiagonal.1 x.2).1.trans (mem_mul_antidiagonal.1 y.2).1.symm)
end
variables {s} {t}
@[to_additive]
theorem finite_of_is_pwo (hs : s.is_pwo) (ht : t.is_pwo) (a) :
(mul_antidiagonal s t a).finite :=
begin
by_contra h,
rw [← set.infinite] at h,
have h1 : (mul_antidiagonal s t a).partially_well_ordered_on (prod.fst ⁻¹'o (≤)),
{ intros f hf,
refine hs (prod.fst ∘ f) _,
rw range_comp,
rintros _ ⟨⟨x, y⟩, hxy, rfl⟩,
exact (mem_mul_antidiagonal.1 (hf hxy)).2.1 },
have h2 : (mul_antidiagonal s t a).partially_well_ordered_on (prod.snd ⁻¹'o (≤)),
{ intros f hf,
refine ht (prod.snd ∘ f) _,
rw range_comp,
rintros _ ⟨⟨x, y⟩, hxy, rfl⟩,
exact (mem_mul_antidiagonal.1 (hf hxy)).2.2 },
obtain ⟨g, hg⟩ := h1.exists_monotone_subseq (λ x, h.nat_embedding _ x) _,
swap, { rintro _ ⟨k, rfl⟩,
exact ((infinite.nat_embedding (s.mul_antidiagonal t a) h) _).2 },
obtain ⟨m, n, mn, h2'⟩ := h2 (λ x, (h.nat_embedding _) (g x)) _,
swap, { rintro _ ⟨k, rfl⟩,
exact ((infinite.nat_embedding (s.mul_antidiagonal t a) h) _).2, },
apply ne_of_lt mn (g.injective ((h.nat_embedding _).injective _)),
exact eq_of_fst_le_fst_of_snd_le_snd _ _ _ (hg _ _ (le_of_lt mn)) h2',
end
end ordered_cancel_comm_monoid
@[to_additive]
theorem finite_of_is_wf [linear_ordered_cancel_comm_monoid α] {s t : set α}
(hs : s.is_wf) (ht : t.is_wf) (a) :
(mul_antidiagonal s t a).finite :=
finite_of_is_pwo hs.is_pwo ht.is_pwo a
end mul_antidiagonal
end set
namespace finset
variables [ordered_cancel_comm_monoid α]
variables {s t : set α} (hs : s.is_pwo) (ht : t.is_pwo) (a : α)
/-- `finset.mul_antidiagonal_of_is_wf hs ht a` is the set of all pairs of an element in
`s` and an element in `t` that multiply to `a`, but its construction requires proofs
`hs` and `ht` that `s` and `t` are well-ordered. -/
@[to_additive "`finset.add_antidiagonal_of_is_wf hs ht a` is the set of all pairs of an element in
`s` and an element in `t` that add to `a`, but its construction requires proofs
`hs` and `ht` that `s` and `t` are well-ordered."]
noncomputable def mul_antidiagonal : finset (α × α) :=
(set.mul_antidiagonal.finite_of_is_pwo hs ht a).to_finset
variables {hs} {ht} {u : set α} {hu : u.is_pwo} {a} {x : α × α}
@[simp, to_additive]
lemma mem_mul_antidiagonal :
x ∈ mul_antidiagonal hs ht a ↔ x.1 * x.2 = a ∧ x.1 ∈ s ∧ x.2 ∈ t :=
by simp [mul_antidiagonal]
@[to_additive]
lemma mul_antidiagonal_mono_left (hus : u ⊆ s) :
(finset.mul_antidiagonal hu ht a) ⊆ (finset.mul_antidiagonal hs ht a) :=
λ x hx, begin
rw mem_mul_antidiagonal at *,
exact ⟨hx.1, hus hx.2.1, hx.2.2⟩,
end
@[to_additive]
lemma mul_antidiagonal_mono_right (hut : u ⊆ t) :
(finset.mul_antidiagonal hs hu a) ⊆ (finset.mul_antidiagonal hs ht a) :=
λ x hx, begin
rw mem_mul_antidiagonal at *,
exact ⟨hx.1, hx.2.1, hut hx.2.2⟩,
end
@[to_additive]
lemma support_mul_antidiagonal_subset_mul :
{ a : α | (mul_antidiagonal hs ht a).nonempty } ⊆ s * t :=
(λ x ⟨⟨a1, a2⟩, ha⟩, begin
obtain ⟨hmul, h1, h2⟩ := mem_mul_antidiagonal.1 ha,
exact ⟨a1, a2, h1, h2, hmul⟩,
end)
@[to_additive]
theorem is_pwo_support_mul_antidiagonal :
{ a : α | (mul_antidiagonal hs ht a).nonempty }.is_pwo :=
(hs.mul ht).mono support_mul_antidiagonal_subset_mul
@[to_additive]
theorem mul_antidiagonal_min_mul_min {α} [linear_ordered_cancel_comm_monoid α] {s t : set α}
(hs : s.is_wf) (ht : t.is_wf)
(hns : s.nonempty) (hnt : t.nonempty) :
mul_antidiagonal hs.is_pwo ht.is_pwo ((hs.min hns) * (ht.min hnt)) =
{(hs.min hns, ht.min hnt)} :=
begin
ext ⟨a1, a2⟩,
rw [mem_mul_antidiagonal, finset.mem_singleton, prod.ext_iff],
split,
{ rintro ⟨hast, has, hat⟩,
cases eq_or_lt_of_le (hs.min_le hns has) with heq hlt,
{ refine ⟨heq.symm, _⟩,
rw heq at hast,
exact mul_left_cancel hast },
{ contrapose hast,
exact ne_of_gt (mul_lt_mul_of_lt_of_le hlt (ht.min_le hnt hat)) } },
{ rintro ⟨ha1, ha2⟩,
rw [ha1, ha2],
exact ⟨rfl, hs.min_mem _, ht.min_mem _⟩ }
end
end finset
lemma well_founded.is_wf [has_lt α] (h : well_founded ((<) : α → α → Prop)) (s : set α) :
s.is_wf :=
(set.is_wf_univ_iff.2 h).mono (set.subset_univ s)
/-- A version of **Dickson's lemma** any subset of functions `Π s : σ, α s` is partially well
ordered, when `σ` is a `fintype` and each `α s` is a linear well order.
This includes the classical case of Dickson's lemma that `ℕ ^ n` is a well partial order.
Some generalizations would be possible based on this proof, to include cases where the target
is partially well ordered, and also to consider the case of `partially_well_ordered_on` instead of
`is_pwo`. -/
lemma pi.is_pwo {σ : Type*} {α : σ → Type*} [∀ s, linear_order (α s)] [∀ s, is_well_order (α s) (<)]
[fintype σ] (S : set (Π s : σ, α s)) : S.is_pwo :=
begin
classical,
refine set.is_pwo.mono _ (set.subset_univ _),
rw set.is_pwo_iff_exists_monotone_subseq,
simp_rw [monotone, pi.le_def],
suffices : ∀ s : finset σ, ∀ (f : ℕ → (Π s, α s)), set.range f ⊆ set.univ → ∃ (g : ℕ ↪o ℕ),
∀ ⦃a b : ℕ⦄, a ≤ b → ∀ (x : σ) (hs : x ∈ s), (f ∘ g) a x ≤ (f ∘ g) b x,
{ simpa only [forall_true_left, finset.mem_univ] using this finset.univ, },
apply' finset.induction,
{ intros f hf, existsi rel_embedding.refl (≤),
simp only [is_empty.forall_iff, implies_true_iff, forall_const, finset.not_mem_empty], },
{ intros x s hx ih f hf,
obtain ⟨g, hg⟩ := (is_well_order.wf.is_wf (set.univ : set _)).is_pwo.exists_monotone_subseq
((λ mo : Π s : σ, α s, mo x) ∘ f) (set.subset_univ _),
obtain ⟨g', hg'⟩ := ih (f ∘ g) (set.subset_univ _),
refine ⟨g'.trans g, λ a b hab, _⟩,
simp only [finset.mem_insert, rel_embedding.coe_trans, function.comp_app, forall_eq_or_imp],
exact ⟨hg (order_hom_class.mono g' hab), hg' hab⟩, },
end
|
6f359aa0241975214e91e3a26f48cbe10f7ee9bf | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/combinatorics/set_family/shadow.lean | b581673a1dc67e5ad07b0cfee3fc1ceec755814a | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 10,480 | lean | /-
Copyright (c) 2021 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Alena Gusakov, Yaël Dillies
-/
import data.finset.slice
import logic.function.iterate
/-!
# Shadows
This file defines shadows of a set family. The shadow of a set family is the set family of sets we
get by removing any element from any set of the original family. If one pictures `finset α` as a big
hypercube (each dimension being membership of a given element), then taking the shadow corresponds
to projecting each finset down once in all available directions.
## Main definitions
* `finset.shadow`: The shadow of a set family. Everything we can get by removing a new element from
some set.
* `finset.up_shadow`: The upper shadow of a set family. Everything we can get by adding an element
to some set.
## Notation
We define notation in locale `finset_family`:
* `∂ 𝒜`: Shadow of `𝒜`.
* `∂⁺ 𝒜`: Upper shadow of `𝒜`.
We also maintain the convention that `a, b : α` are elements of the ground type, `s, t : finset α`
are finsets, and `𝒜, ℬ : finset (finset α)` are finset families.
## References
* https://github.com/b-mehta/maths-notes/blob/master/iii/mich/combinatorics.pdf
* http://discretemath.imp.fu-berlin.de/DMII-2015-16/kruskal.pdf
## Tags
shadow, set family
-/
open finset nat
variables {α : Type*}
namespace finset
section shadow
variables [decidable_eq α] {𝒜 : finset (finset α)} {s t : finset α} {a : α} {k r : ℕ}
/-- The shadow of a set family `𝒜` is all sets we can get by removing one element from any set in
`𝒜`, and the (`k` times) iterated shadow (`shadow^[k]`) is all sets we can get by removing `k`
elements from any set in `𝒜`. -/
def shadow (𝒜 : finset (finset α)) : finset (finset α) := 𝒜.sup (λ s, s.image (erase s))
localized "notation `∂ `:90 := finset.shadow" in finset_family
/-- The shadow of the empty set is empty. -/
@[simp] lemma shadow_empty : ∂ (∅ : finset (finset α)) = ∅ := rfl
/-- The shadow is monotone. -/
@[mono] lemma shadow_monotone : monotone (shadow : finset (finset α) → finset (finset α)) :=
λ 𝒜 ℬ, sup_mono
/-- `s` is in the shadow of `𝒜` iff there is an `t ∈ 𝒜` from which we can remove one element to
get `s`. -/
lemma mem_shadow_iff : s ∈ ∂ 𝒜 ↔ ∃ t ∈ 𝒜, ∃ a ∈ t, erase t a = s :=
by simp only [shadow, mem_sup, mem_image]
lemma erase_mem_shadow (hs : s ∈ 𝒜) (ha : a ∈ s) : erase s a ∈ ∂ 𝒜 :=
mem_shadow_iff.2 ⟨s, hs, a, ha, rfl⟩
/-- The shadow of a family of `r`-sets is a family of `r - 1`-sets. -/
protected lemma sized.shadow (h𝒜 : (𝒜 : set (finset α)).sized r) :
(∂ 𝒜 : set (finset α)).sized (r - 1) :=
begin
intros A h,
obtain ⟨A, hA, i, hi, rfl⟩ := mem_shadow_iff.1 h,
rw [card_erase_of_mem hi, h𝒜 hA],
refl,
end
/-- `t` is in the shadow of `𝒜` iff we can add an element to it so that the resulting finset is in
`𝒜`. -/
lemma mem_shadow_iff_insert_mem : s ∈ ∂ 𝒜 ↔ ∃ a ∉ s, insert a s ∈ 𝒜 :=
begin
refine mem_shadow_iff.trans ⟨_, _⟩,
{ rintro ⟨s, hs, a, ha, rfl⟩,
refine ⟨a, not_mem_erase a s, _⟩,
rwa insert_erase ha },
{ rintro ⟨a, ha, hs⟩,
exact ⟨insert a s, hs, a, mem_insert_self _ _, erase_insert ha⟩ }
end
/-- `s ∈ ∂ 𝒜` iff `s` is exactly one element less than something from `𝒜` -/
lemma mem_shadow_iff_exists_mem_card_add_one :
s ∈ ∂ 𝒜 ↔ ∃ t ∈ 𝒜, s ⊆ t ∧ t.card = s.card + 1 :=
begin
refine mem_shadow_iff_insert_mem.trans ⟨_, _⟩,
{ rintro ⟨a, ha, hs⟩,
exact ⟨insert a s, hs, subset_insert _ _, card_insert_of_not_mem ha⟩ },
{ rintro ⟨t, ht, hst, h⟩,
obtain ⟨a, ha⟩ : ∃ a, t \ s = {a} :=
card_eq_one.1 (by rw [card_sdiff hst, h, add_tsub_cancel_left]),
exact ⟨a, λ hat,
not_mem_sdiff_of_mem_right hat ((ha.ge : _ ⊆ _) $ mem_singleton_self a),
by rwa [insert_eq a s, ←ha, sdiff_union_of_subset hst]⟩ }
end
/-- Being in the shadow of `𝒜` means we have a superset in `𝒜`. -/
lemma exists_subset_of_mem_shadow (hs : s ∈ ∂ 𝒜) : ∃ t ∈ 𝒜, s ⊆ t :=
let ⟨t, ht, hst⟩ := mem_shadow_iff_exists_mem_card_add_one.1 hs in ⟨t, ht, hst.1⟩
/-- `t ∈ ∂^k 𝒜` iff `t` is exactly `k` elements less than something in `𝒜`. -/
lemma mem_shadow_iff_exists_mem_card_add :
s ∈ (∂^[k]) 𝒜 ↔ ∃ t ∈ 𝒜, s ⊆ t ∧ t.card = s.card + k :=
begin
induction k with k ih generalizing 𝒜 s,
{ refine ⟨λ hs, ⟨s, hs, subset.refl _, rfl⟩, _⟩,
rintro ⟨t, ht, hst, hcard⟩,
rwa eq_of_subset_of_card_le hst hcard.le },
simp only [exists_prop, function.comp_app, function.iterate_succ],
refine ih.trans _,
clear ih,
split,
{ rintro ⟨t, ht, hst, hcardst⟩,
obtain ⟨u, hu, htu, hcardtu⟩ := mem_shadow_iff_exists_mem_card_add_one.1 ht,
refine ⟨u, hu, hst.trans htu, _⟩,
rw [hcardtu, hcardst],
refl },
{ rintro ⟨t, ht, hst, hcard⟩,
obtain ⟨u, hsu, hut, hu⟩ := finset.exists_intermediate_set k
(by { rw [add_comm, hcard], exact le_succ _ }) hst,
rw add_comm at hu,
refine ⟨u, mem_shadow_iff_exists_mem_card_add_one.2 ⟨t, ht, hut, _⟩, hsu, hu⟩,
rw [hcard, hu],
refl }
end
end shadow
open_locale finset_family
section up_shadow
variables [decidable_eq α] [fintype α] {𝒜 : finset (finset α)} {s t : finset α} {a : α} {k r : ℕ}
/-- The upper shadow of a set family `𝒜` is all sets we can get by adding one element to any set in
`𝒜`, and the (`k` times) iterated upper shadow (`up_shadow^[k]`) is all sets we can get by adding
`k` elements from any set in `𝒜`. -/
def up_shadow (𝒜 : finset (finset α)) : finset (finset α) :=
𝒜.sup $ λ s, sᶜ.image $ λ a, insert a s
localized "notation `∂⁺ `:90 := finset.up_shadow" in finset_family
/-- The upper shadow of the empty set is empty. -/
@[simp] lemma up_shadow_empty : ∂⁺ (∅ : finset (finset α)) = ∅ := rfl
/-- The upper shadow is monotone. -/
@[mono] lemma up_shadow_monotone : monotone (up_shadow : finset (finset α) → finset (finset α)) :=
λ 𝒜 ℬ, sup_mono
/-- `s` is in the upper shadow of `𝒜` iff there is an `t ∈ 𝒜` from which we can remove one element
to get `s`. -/
lemma mem_up_shadow_iff : s ∈ ∂⁺ 𝒜 ↔ ∃ t ∈ 𝒜, ∃ a ∉ t, insert a t = s :=
by simp_rw [up_shadow, mem_sup, mem_image, exists_prop, mem_compl]
lemma insert_mem_up_shadow (hs : s ∈ 𝒜) (ha : a ∉ s) : insert a s ∈ ∂⁺ 𝒜 :=
mem_up_shadow_iff.2 ⟨s, hs, a, ha, rfl⟩
/-- The upper shadow of a family of `r`-sets is a family of `r + 1`-sets. -/
protected lemma sized.up_shadow (h𝒜 : (𝒜 : set (finset α)).sized r) :
(∂⁺ 𝒜 : set (finset α)).sized (r + 1) :=
begin
intros A h,
obtain ⟨A, hA, i, hi, rfl⟩ := mem_up_shadow_iff.1 h,
rw [card_insert_of_not_mem hi, h𝒜 hA],
end
/-- `t` is in the upper shadow of `𝒜` iff we can remove an element from it so that the resulting
finset is in `𝒜`. -/
lemma mem_up_shadow_iff_erase_mem : s ∈ ∂⁺ 𝒜 ↔ ∃ a ∈ s, s.erase a ∈ 𝒜 :=
begin
refine mem_up_shadow_iff.trans ⟨_, _⟩,
{ rintro ⟨s, hs, a, ha, rfl⟩,
refine ⟨a, mem_insert_self a s, _⟩,
rwa erase_insert ha },
{ rintro ⟨a, ha, hs⟩,
exact ⟨s.erase a, hs, a, not_mem_erase _ _, insert_erase ha⟩ }
end
/-- `s ∈ ∂⁺ 𝒜` iff `s` is exactly one element less than something from `𝒜`. -/
lemma mem_up_shadow_iff_exists_mem_card_add_one :
s ∈ ∂⁺ 𝒜 ↔ ∃ t ∈ 𝒜, t ⊆ s ∧ t.card + 1 = s.card :=
begin
refine mem_up_shadow_iff_erase_mem.trans ⟨_, _⟩,
{ rintro ⟨a, ha, hs⟩,
exact ⟨s.erase a, hs, erase_subset _ _, card_erase_add_one ha⟩ },
{ rintro ⟨t, ht, hts, h⟩,
obtain ⟨a, ha⟩ : ∃ a, s \ t = {a} :=
card_eq_one.1 (by rw [card_sdiff hts, ←h, add_tsub_cancel_left]),
refine ⟨a, sdiff_subset _ _ ((ha.ge : _ ⊆ _) $ mem_singleton_self a), _⟩,
rwa [←sdiff_singleton_eq_erase, ←ha, sdiff_sdiff_eq_self hts] }
end
/-- Being in the upper shadow of `𝒜` means we have a superset in `𝒜`. -/
lemma exists_subset_of_mem_up_shadow (hs : s ∈ ∂⁺ 𝒜) : ∃ t ∈ 𝒜, t ⊆ s :=
let ⟨t, ht, hts, _⟩ := mem_up_shadow_iff_exists_mem_card_add_one.1 hs in ⟨t, ht, hts⟩
/-- `t ∈ ∂^k 𝒜` iff `t` is exactly `k` elements more than something in `𝒜`. -/
lemma mem_up_shadow_iff_exists_mem_card_add :
s ∈ (∂⁺^[k]) 𝒜 ↔ ∃ t ∈ 𝒜, t ⊆ s ∧ t.card + k = s.card :=
begin
induction k with k ih generalizing 𝒜 s,
{ refine ⟨λ hs, ⟨s, hs, subset.refl _, rfl⟩, _⟩,
rintro ⟨t, ht, hst, hcard⟩,
rwa ←eq_of_subset_of_card_le hst hcard.ge },
simp only [exists_prop, function.comp_app, function.iterate_succ],
refine ih.trans _,
clear ih,
split,
{ rintro ⟨t, ht, hts, hcardst⟩,
obtain ⟨u, hu, hut, hcardtu⟩ := mem_up_shadow_iff_exists_mem_card_add_one.1 ht,
refine ⟨u, hu, hut.trans hts, _⟩,
rw [←hcardst, ←hcardtu, add_right_comm],
refl },
{ rintro ⟨t, ht, hts, hcard⟩,
obtain ⟨u, htu, hus, hu⟩ := finset.exists_intermediate_set 1
(by { rw [add_comm, ←hcard], exact add_le_add_left (zero_lt_succ _) _ }) hts,
rw add_comm at hu,
refine ⟨u, mem_up_shadow_iff_exists_mem_card_add_one.2 ⟨t, ht, htu, hu.symm⟩, hus, _⟩,
rw [hu, ←hcard, add_right_comm],
refl }
end
@[simp] lemma shadow_image_compl : (∂ 𝒜).image compl = ∂⁺ (𝒜.image compl) :=
begin
ext s,
simp only [mem_image, exists_prop, mem_shadow_iff, mem_up_shadow_iff],
split,
{ rintro ⟨_, ⟨s, hs, a, ha, rfl⟩, rfl⟩,
exact ⟨sᶜ, ⟨s, hs, rfl⟩, a, not_mem_compl.2 ha, compl_erase.symm⟩ },
{ rintro ⟨_, ⟨s, hs, rfl⟩, a, ha, rfl⟩,
exact ⟨s.erase a, ⟨s, hs, a, not_mem_compl.1 ha, rfl⟩, compl_erase⟩ }
end
@[simp] lemma up_shadow_image_compl : (∂⁺ 𝒜).image compl = ∂ (𝒜.image compl) :=
begin
ext s,
simp only [mem_image, exists_prop, mem_shadow_iff, mem_up_shadow_iff],
split,
{ rintro ⟨_, ⟨s, hs, a, ha, rfl⟩, rfl⟩,
exact ⟨sᶜ, ⟨s, hs, rfl⟩, a, mem_compl.2 ha, compl_insert.symm⟩ },
{ rintro ⟨_, ⟨s, hs, rfl⟩, a, ha, rfl⟩,
exact ⟨insert a s, ⟨s, hs, a, mem_compl.1 ha, rfl⟩, compl_insert⟩ }
end
end up_shadow
end finset
|
ecf2b8e18f97c4fa91ef403966a4ca036dd24d34 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/lake/Lake/Util/Family.lean | 07926f0939db46e8f3eb8aa226b8859fec313df6 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
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"LGPL-2.0-or-later",
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"HPND",
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"ISC",
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"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 6,122 | lean | /-
Copyright (c) 2022 Mac Malone. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mac Malone
-/
import Lean.Parser.Command
/-!
# Open Type Families in Lean
This module contains utilities for defining **open type families** in Lean.
The concept of type families originated in Haskell with the paper
[*Type checking with open type functions*][1] by Schrijvers *et al.* and
is essentially just a fancy name for a function from an input *index* to an
output type. However, it tends to imply some additional restrictions on syntax
or functionality as opposed to a proper type function.The design here has some
such limitations so the name was similarly adopted.
Type families come in two forms: open and closed.
A *closed* type family is an ordinary total function.
An *open* type family, on the other hand, is a partial function that allows
additional input to output mappings to be defined as needed.
Lean does not (currently) directly support open type families.
However, it does support type class *functional dependencies* (via `outParam`),
and simple open type families can be modeled through functional dependencies,
which is what we do here.
[1]: https://doi.org/10.1145/1411204.1411215
## Defining Families
In this approach, to define an open type family, one first defines an `opaque`
type function with a single argument that serves as the key:
```lean
opaque FooFam (key : Name) : Type
```
Note that, unlike Haskell, the key need not be a type. Lean's dependent type
theory does not have Haskell's strict separation of types and data and thus
we can use data as an index as well.
Then, to add a mapping to this family, one defines an axioms:
```lean
axiom FooFam.bar : FooFam `bar = Nat
```
To finish, one also defines an instance of the `FamilyDef` type class
defined in this module using the axiom like so:
```lean
instance : FamilyDef FooFam `bar Nat := ⟨FooFam.bar⟩
```
This module provides a `family_def` macro to define both the axiom and the
instance in one go like so:
```lean
family_def bar : FooFam `bar := Nat
```
## Type Inference
The signature of the type class `FamilyDef` is
```
FamilyDef {α : Type u} (Fam : α → Type v) (a : α) (β : outParam $ Type v) : Prop
```
The key part being that `β` is an `outParam` so Lean's type class synthesis will
smartly infer the defined type `Nat` when given the key of `` `bar``. Thus, if
we have a function define like so:
```
def foo (key : α) [FamilyDef FooFam key β] : β := ...
```
Lean will smartly infer that the type of ``foo `bar`` is `Nat`.
However, filling in the right hand side of `foo` is not quite so easy.
``FooFam `bar = Nat`` is only true propositionally, so we have to manually
`cast` a `Nat` to ``FooFam `bar``and provide the proof (and the same is true
vice versa). Thus, this module provides two definitions, `toFamily : β → Fam a`
and `ofFamily : Fam a → β`, to help with this conversion.
## Full Example
Putting this all together, one can do something like the following:
```lean
opaque FooFam (key : Name) : Type
abbrev FooMap := DRBMap Name FooFam Name.quickCmp
def FooMap.insert (self : FooMap) (key : Name) [FamilyDef FooFam key α] (a : α) : FooMap :=
DRBMap.insert self key (toFamily a)
def FooMap.find? (self : FooMap) (key : Name) [FamilyDef FooFam key α] : Option α :=
ofFamily <$> DRBMap.find? self key
family_def bar : FooFam `bar := Nat
family_def baz : FooFam `baz := String
def foo := Id.run do
let mut map : FooMap := {}
map := map.insert `bar 5
map := map.insert `baz "str"
return map.find? `bar
#eval foo -- 5
```
## Type Safety
In order to maintain type safety, `a = b → Fam a = Fam b` must actually hold.
That is, one must not define mappings to two different types with equivalent
keys. Since mappings are defined through axioms, Lean WILL NOT catch violations
of this rule itself, so extra care must be taken when defining mappings.
In Lake, this is solved by having its open type families be indexed by a
`Lean.Name` and defining each mapping using a name literal `name` and the
declaration ``axiom Fam.name : Fam `name = α``. This causes a name clash
if two keys overlap and thereby produces an error.
-/
open Lean
namespace Lake
/-! ## API -/
/--
Defines a single mapping of the **open type family** `Fam`, namely `Fam a = β`.
See the module documentation of `Lake.Util.Family` for details on what an open
type family is in Lake.
-/
class FamilyDef {α : Type u} (Fam : α → Type v) (a : α) (β : semiOutParam $ Type v) : Prop where
family_key_eq_type : Fam a = β
/-- Like `FamilyDef`, but `β` is an `outParam`. -/
class FamilyOut {α : Type u} (Fam : α → Type v) (a : α) (β : outParam $ Type v) : Prop where
family_key_eq_type : Fam a = β
-- Simplifies proofs involving open type families
attribute [simp] FamilyOut.family_key_eq_type
instance [FamilyDef Fam a β] : FamilyOut Fam a β where
family_key_eq_type := FamilyDef.family_key_eq_type
/-- Cast a datum from its individual type to its general family. -/
@[macro_inline] def toFamily [FamilyOut Fam a β] (b : β) : Fam a :=
cast FamilyOut.family_key_eq_type.symm b
/-- Cast a datum from its general family to its individual type. -/
@[macro_inline] def ofFamily [FamilyOut Fam a β] (b : Fam a) : β :=
cast FamilyOut.family_key_eq_type b
/--
The syntax:
```lean
family_def foo : Fam 0 := Nat
```
Declares a new mapping for the open type family `Fam` type via the
production of an axiom `Fam.foo : Data 0 = Nat` and an instance of `FamilyDef`
that uses this axiom for key `0`.
-/
scoped macro (name := familyDef) doc?:optional(Parser.Command.docComment)
"family_def " id:ident " : " fam:ident key:term " := " ty:term : command => do
let tid := extractMacroScopes fam.getId |>.name
if let (tid, _) :: _ ← Macro.resolveGlobalName tid then
let app := Syntax.mkApp fam #[key]
let axm := mkIdentFrom fam <| `_root_ ++ tid ++ id.getId
`($[$doc?]? @[simp] axiom $axm : $app = $ty
instance : FamilyDef $fam $key $ty := ⟨$axm⟩)
else
Macro.throwErrorAt fam s!"unknown family '{tid}'"
|
7d8c9a98e9002cc998cdccce62ba0522e74d77aa | 5ae26df177f810c5006841e9c73dc56e01b978d7 | /src/topology/basic.lean | 6af240980c36e3786cb514a8c25089834f529a04 | [
"Apache-2.0"
] | permissive | ChrisHughes24/mathlib | 98322577c460bc6b1fe5c21f42ce33ad1c3e5558 | a2a867e827c2a6702beb9efc2b9282bd801d5f9a | refs/heads/master | 1,583,848,251,477 | 1,565,164,247,000 | 1,565,164,247,000 | 129,409,993 | 0 | 1 | Apache-2.0 | 1,565,164,817,000 | 1,523,628,059,000 | Lean | UTF-8 | Lean | false | false | 39,176 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Jeremy Avigad
-/
import order.filter
/-!
# Basic theory of topological spaces.
The main definition is the type class `topological space α` which endows a type `α` with a topology.
Then `set α` gets predicates `is_open`, `is_closed` and functions `interior`, `closure` and
`frontier`. Each point `x` of `α` gets a neighborhood filter `nhds x`, and relative versions
`nhds_within x s` for every set `s` in `α`.
This file also defines locally finite families of subsets of `α`.
For topological spaces `α` and `β`, a function `f : α → β` and a point `a : α`,
`continuous_at f a` means `f` is continuous at `a`, and global continuity is
`continuous f`. There are also relative versions `continuous_within_at` and `continuous_on`
and continuity `pcontinuous` for partially defined functions.
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
`docs/theories/topological_spaces.md`.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space, interior, closure, frontier, neighborhood, continuity, continuous function
-/
open set filter lattice classical
local attribute [instance, priority 0] prop_decidable
universes u v w
/-- A topology on `α`. -/
structure topological_space (α : Type u) :=
(is_open : set α → Prop)
(is_open_univ : is_open univ)
(is_open_inter : ∀s t, is_open s → is_open t → is_open (s ∩ t))
(is_open_sUnion : ∀s, (∀t∈s, is_open t) → is_open (⋃₀ s))
attribute [class] topological_space
section topological_space
variables {α : Type u} {β : Type v} {ι : Sort w} {a : α} {s s₁ s₂ : set α} {p p₁ p₂ : α → Prop}
@[extensionality]
lemma topological_space_eq : ∀ {f g : topological_space α}, f.is_open = g.is_open → f = g
| ⟨a, _, _, _⟩ ⟨b, _, _, _⟩ rfl := rfl
section
variables [t : topological_space α]
include t
/-- `is_open s` means that `s` is open in the ambient topological space on `α` -/
def is_open (s : set α) : Prop := topological_space.is_open t s
@[simp]
lemma is_open_univ : is_open (univ : set α) := topological_space.is_open_univ t
lemma is_open_inter (h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∩ s₂) :=
topological_space.is_open_inter t s₁ s₂ h₁ h₂
lemma is_open_sUnion {s : set (set α)} (h : ∀t ∈ s, is_open t) : is_open (⋃₀ s) :=
topological_space.is_open_sUnion t s h
end
lemma is_open_fold {s : set α} {t : topological_space α} : t.is_open s = @is_open α t s :=
rfl
variables [topological_space α]
lemma is_open_Union {f : ι → set α} (h : ∀i, is_open (f i)) : is_open (⋃i, f i) :=
is_open_sUnion $ by rintro _ ⟨i, rfl⟩; exact h i
lemma is_open_bUnion {s : set β} {f : β → set α} (h : ∀i∈s, is_open (f i)) :
is_open (⋃i∈s, f i) :=
is_open_Union $ assume i, is_open_Union $ assume hi, h i hi
lemma is_open_union (h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∪ s₂) :=
by rw union_eq_Union; exact is_open_Union (bool.forall_bool.2 ⟨h₂, h₁⟩)
@[simp] lemma is_open_empty : is_open (∅ : set α) :=
by rw ← sUnion_empty; exact is_open_sUnion (assume a, false.elim)
lemma is_open_sInter {s : set (set α)} (hs : finite s) : (∀t ∈ s, is_open t) → is_open (⋂₀ s) :=
finite.induction_on hs (λ _, by rw sInter_empty; exact is_open_univ) $
λ a s has hs ih h, by rw sInter_insert; exact
is_open_inter (h _ $ mem_insert _ _) (ih $ λ t, h t ∘ mem_insert_of_mem _)
lemma is_open_bInter {s : set β} {f : β → set α} (hs : finite s) :
(∀i∈s, is_open (f i)) → is_open (⋂i∈s, f i) :=
finite.induction_on hs
(λ _, by rw bInter_empty; exact is_open_univ)
(λ a s has hs ih h, by rw bInter_insert; exact
is_open_inter (h a (mem_insert _ _)) (ih (λ i hi, h i (mem_insert_of_mem _ hi))))
lemma is_open_Inter [fintype β] {s : β → set α}
(h : ∀ i, is_open (s i)) : is_open (⋂ i, s i) :=
suffices is_open (⋂ (i : β) (hi : i ∈ @univ β), s i), by simpa,
is_open_bInter finite_univ (λ i _, h i)
lemma is_open_Inter_prop {p : Prop} {s : p → set α}
(h : ∀ h : p, is_open (s h)) : is_open (Inter s) :=
by by_cases p; simp *
lemma is_open_const {p : Prop} : is_open {a : α | p} :=
by_cases
(assume : p, begin simp only [this]; exact is_open_univ end)
(assume : ¬ p, begin simp only [this]; exact is_open_empty end)
lemma is_open_and : is_open {a | p₁ a} → is_open {a | p₂ a} → is_open {a | p₁ a ∧ p₂ a} :=
is_open_inter
/-- A set is closed if its complement is open -/
def is_closed (s : set α) : Prop := is_open (-s)
@[simp] lemma is_closed_empty : is_closed (∅ : set α) :=
by unfold is_closed; rw compl_empty; exact is_open_univ
@[simp] lemma is_closed_univ : is_closed (univ : set α) :=
by unfold is_closed; rw compl_univ; exact is_open_empty
lemma is_closed_union : is_closed s₁ → is_closed s₂ → is_closed (s₁ ∪ s₂) :=
λ h₁ h₂, by unfold is_closed; rw compl_union; exact is_open_inter h₁ h₂
lemma is_closed_sInter {s : set (set α)} : (∀t ∈ s, is_closed t) → is_closed (⋂₀ s) :=
by simp only [is_closed, compl_sInter, sUnion_image]; exact assume h, is_open_Union $ assume t, is_open_Union $ assume ht, h t ht
lemma is_closed_Inter {f : ι → set α} (h : ∀i, is_closed (f i)) : is_closed (⋂i, f i ) :=
is_closed_sInter $ assume t ⟨i, (heq : f i = t)⟩, heq ▸ h i
@[simp] lemma is_open_compl_iff {s : set α} : is_open (-s) ↔ is_closed s := iff.rfl
@[simp] lemma is_closed_compl_iff {s : set α} : is_closed (-s) ↔ is_open s :=
by rw [←is_open_compl_iff, compl_compl]
lemma is_open_diff {s t : set α} (h₁ : is_open s) (h₂ : is_closed t) : is_open (s \ t) :=
is_open_inter h₁ $ is_open_compl_iff.mpr h₂
lemma is_closed_inter (h₁ : is_closed s₁) (h₂ : is_closed s₂) : is_closed (s₁ ∩ s₂) :=
by rw [is_closed, compl_inter]; exact is_open_union h₁ h₂
lemma is_closed_bUnion {s : set β} {f : β → set α} (hs : finite s) :
(∀i∈s, is_closed (f i)) → is_closed (⋃i∈s, f i) :=
finite.induction_on hs
(λ _, by rw bUnion_empty; exact is_closed_empty)
(λ a s has hs ih h, by rw bUnion_insert; exact
is_closed_union (h a (mem_insert _ _)) (ih (λ i hi, h i (mem_insert_of_mem _ hi))))
lemma is_closed_Union [fintype β] {s : β → set α}
(h : ∀ i, is_closed (s i)) : is_closed (Union s) :=
suffices is_closed (⋃ (i : β) (hi : i ∈ @univ β), s i),
by convert this; simp [set.ext_iff],
is_closed_bUnion finite_univ (λ i _, h i)
lemma is_closed_Union_prop {p : Prop} {s : p → set α}
(h : ∀ h : p, is_closed (s h)) : is_closed (Union s) :=
by by_cases p; simp *
lemma is_closed_imp {p q : α → Prop} (hp : is_open {x | p x})
(hq : is_closed {x | q x}) : is_closed {x | p x → q x} :=
have {x | p x → q x} = (- {x | p x}) ∪ {x | q x}, from set.ext $ λ x, imp_iff_not_or,
by rw [this]; exact is_closed_union (is_closed_compl_iff.mpr hp) hq
lemma is_open_neg : is_closed {a | p a} → is_open {a | ¬ p a} :=
is_open_compl_iff.mpr
/-- The interior of a set `s` is the largest open subset of `s`. -/
def interior (s : set α) : set α := ⋃₀ {t | is_open t ∧ t ⊆ s}
lemma mem_interior {s : set α} {x : α} :
x ∈ interior s ↔ ∃ t ⊆ s, is_open t ∧ x ∈ t :=
by simp only [interior, mem_set_of_eq, exists_prop, and_assoc, and.left_comm]
@[simp] lemma is_open_interior {s : set α} : is_open (interior s) :=
is_open_sUnion $ assume t ⟨h₁, h₂⟩, h₁
lemma interior_subset {s : set α} : interior s ⊆ s :=
sUnion_subset $ assume t ⟨h₁, h₂⟩, h₂
lemma interior_maximal {s t : set α} (h₁ : t ⊆ s) (h₂ : is_open t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
lemma interior_eq_of_open {s : set α} (h : is_open s) : interior s = s :=
subset.antisymm interior_subset (interior_maximal (subset.refl s) h)
lemma interior_eq_iff_open {s : set α} : interior s = s ↔ is_open s :=
⟨assume h, h ▸ is_open_interior, interior_eq_of_open⟩
lemma subset_interior_iff_open {s : set α} : s ⊆ interior s ↔ is_open s :=
by simp only [interior_eq_iff_open.symm, subset.antisymm_iff, interior_subset, true_and]
lemma subset_interior_iff_subset_of_open {s t : set α} (h₁ : is_open s) :
s ⊆ interior t ↔ s ⊆ t :=
⟨assume h, subset.trans h interior_subset, assume h₂, interior_maximal h₂ h₁⟩
lemma interior_mono {s t : set α} (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (subset.trans interior_subset h) is_open_interior
@[simp] lemma interior_empty : interior (∅ : set α) = ∅ :=
interior_eq_of_open is_open_empty
@[simp] lemma interior_univ : interior (univ : set α) = univ :=
interior_eq_of_open is_open_univ
@[simp] lemma interior_interior {s : set α} : interior (interior s) = interior s :=
interior_eq_of_open is_open_interior
@[simp] lemma interior_inter {s t : set α} : interior (s ∩ t) = interior s ∩ interior t :=
subset.antisymm
(subset_inter (interior_mono $ inter_subset_left s t) (interior_mono $ inter_subset_right s t))
(interior_maximal (inter_subset_inter interior_subset interior_subset) $ is_open_inter is_open_interior is_open_interior)
lemma interior_union_is_closed_of_interior_empty {s t : set α} (h₁ : is_closed s) (h₂ : interior t = ∅) :
interior (s ∪ t) = interior s :=
have interior (s ∪ t) ⊆ s, from
assume x ⟨u, ⟨(hu₁ : is_open u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩,
classical.by_contradiction $ assume hx₂ : x ∉ s,
have u \ s ⊆ t,
from assume x ⟨h₁, h₂⟩, or.resolve_left (hu₂ h₁) h₂,
have u \ s ⊆ interior t,
by rwa subset_interior_iff_subset_of_open (is_open_diff hu₁ h₁),
have u \ s ⊆ ∅,
by rwa h₂ at this,
this ⟨hx₁, hx₂⟩,
subset.antisymm
(interior_maximal this is_open_interior)
(interior_mono $ subset_union_left _ _)
lemma is_open_iff_forall_mem_open : is_open s ↔ ∀ x ∈ s, ∃ t ⊆ s, is_open t ∧ x ∈ t :=
by rw ← subset_interior_iff_open; simp only [subset_def, mem_interior]
/-- The closure of `s` is the smallest closed set containing `s`. -/
def closure (s : set α) : set α := ⋂₀ {t | is_closed t ∧ s ⊆ t}
@[simp] lemma is_closed_closure {s : set α} : is_closed (closure s) :=
is_closed_sInter $ assume t ⟨h₁, h₂⟩, h₁
lemma subset_closure {s : set α} : s ⊆ closure s :=
subset_sInter $ assume t ⟨h₁, h₂⟩, h₂
lemma closure_minimal {s t : set α} (h₁ : s ⊆ t) (h₂ : is_closed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
lemma closure_eq_of_is_closed {s : set α} (h : is_closed s) : closure s = s :=
subset.antisymm (closure_minimal (subset.refl s) h) subset_closure
lemma closure_eq_iff_is_closed {s : set α} : closure s = s ↔ is_closed s :=
⟨assume h, h ▸ is_closed_closure, closure_eq_of_is_closed⟩
lemma closure_subset_iff_subset_of_is_closed {s t : set α} (h₁ : is_closed t) :
closure s ⊆ t ↔ s ⊆ t :=
⟨subset.trans subset_closure, assume h, closure_minimal h h₁⟩
lemma closure_mono {s t : set α} (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (subset.trans h subset_closure) is_closed_closure
lemma is_closed_of_closure_subset {s : set α} (h : closure s ⊆ s) : is_closed s :=
by rw subset.antisymm subset_closure h; exact is_closed_closure
@[simp] lemma closure_empty : closure (∅ : set α) = ∅ :=
closure_eq_of_is_closed is_closed_empty
lemma closure_empty_iff (s : set α) : closure s = ∅ ↔ s = ∅ :=
begin
split; intro h,
{ rw set.eq_empty_iff_forall_not_mem,
intros x H,
simpa only [h] using subset_closure H },
{ exact (eq.symm h) ▸ closure_empty },
end
@[simp] lemma closure_univ : closure (univ : set α) = univ :=
closure_eq_of_is_closed is_closed_univ
@[simp] lemma closure_closure {s : set α} : closure (closure s) = closure s :=
closure_eq_of_is_closed is_closed_closure
@[simp] lemma closure_union {s t : set α} : closure (s ∪ t) = closure s ∪ closure t :=
subset.antisymm
(closure_minimal (union_subset_union subset_closure subset_closure) $ is_closed_union is_closed_closure is_closed_closure)
(union_subset (closure_mono $ subset_union_left _ _) (closure_mono $ subset_union_right _ _))
lemma interior_subset_closure {s : set α} : interior s ⊆ closure s :=
subset.trans interior_subset subset_closure
lemma closure_eq_compl_interior_compl {s : set α} : closure s = - interior (- s) :=
begin
unfold interior closure is_closed,
rw [compl_sUnion, compl_image_set_of],
simp only [compl_subset_compl]
end
@[simp] lemma interior_compl {s : set α} : interior (- s) = - closure s :=
by simp [closure_eq_compl_interior_compl]
@[simp] lemma closure_compl {s : set α} : closure (- s) = - interior s :=
by simp [closure_eq_compl_interior_compl]
theorem mem_closure_iff {s : set α} {a : α} : a ∈ closure s ↔ ∀ o, is_open o → a ∈ o → o ∩ s ≠ ∅ :=
⟨λ h o oo ao os,
have s ⊆ -o, from λ x xs xo, @ne_empty_of_mem α (o∩s) x ⟨xo, xs⟩ os,
closure_minimal this (is_closed_compl_iff.2 oo) h ao,
λ H c ⟨h₁, h₂⟩, classical.by_contradiction $ λ nc,
let ⟨x, hc, hs⟩ := exists_mem_of_ne_empty (H _ h₁ nc) in hc (h₂ hs)⟩
lemma dense_iff_inter_open {s : set α} : closure s = univ ↔ ∀ U, is_open U → U ≠ ∅ → U ∩ s ≠ ∅ :=
begin
split ; intro h,
{ intros U U_op U_ne,
cases exists_mem_of_ne_empty U_ne with x x_in,
exact mem_closure_iff.1 (by simp only [h]) U U_op x_in },
{ apply eq_univ_of_forall, intro x,
rw mem_closure_iff,
intros U U_op x_in,
exact h U U_op (ne_empty_of_mem x_in) },
end
lemma dense_of_subset_dense {s₁ s₂ : set α} (h : s₁ ⊆ s₂) (hd : closure s₁ = univ) :
closure s₂ = univ :=
by { rw [← univ_subset_iff, ← hd], exact closure_mono h }
/-- The frontier of a set is the set of points between the closure and interior. -/
def frontier (s : set α) : set α := closure s \ interior s
lemma frontier_eq_closure_inter_closure {s : set α} :
frontier s = closure s ∩ closure (- s) :=
by rw [closure_compl, frontier, diff_eq]
@[simp] lemma frontier_compl (s : set α) : frontier (-s) = frontier s :=
by simp only [frontier_eq_closure_inter_closure, lattice.neg_neg, inter_comm]
lemma is_closed_frontier {s : set α} : is_closed (frontier s) :=
by rw frontier_eq_closure_inter_closure; exact is_closed_inter is_closed_closure is_closed_closure
lemma interior_frontier {s : set α} (h : is_closed s) : interior (frontier s) = ∅ :=
begin
have A : frontier s = s \ interior s, by rw [frontier, closure_eq_of_is_closed h],
have B : interior (frontier s) ⊆ interior s, by rw A; exact interior_mono (diff_subset _ _),
have C : interior (frontier s) ⊆ frontier s := interior_subset,
have : interior (frontier s) ⊆ (interior s) ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C),
rwa [inter_diff_self, subset_empty_iff] at this,
end
/-- neighbourhood filter -/
def nhds (a : α) : filter α := (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, principal s)
lemma nhds_def (a : α) : nhds a = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, principal s) := rfl
lemma le_nhds_iff {f a} : f ≤ nhds a ↔ ∀ s : set α, a ∈ s → is_open s → s ∈ f :=
by simp [nhds_def]
lemma nhds_le_of_le {f a} {s : set α} (h : a ∈ s) (o : is_open s) (sf : principal s ≤ f) : nhds a ≤ f :=
by rw nhds_def; exact infi_le_of_le s (infi_le_of_le ⟨h, o⟩ sf)
lemma nhds_sets {a : α} : (nhds a).sets = {s | ∃t⊆s, is_open t ∧ a ∈ t} :=
calc (nhds a).sets = (⋃s∈{s : set α| a ∈ s ∧ is_open s}, (principal s).sets) : infi_sets_eq'
(assume x ⟨hx₁, hx₂⟩ y ⟨hy₁, hy₂⟩,
⟨x ∩ y, ⟨⟨hx₁, hy₁⟩, is_open_inter hx₂ hy₂⟩,
le_principal_iff.2 (inter_subset_left _ _),
le_principal_iff.2 (inter_subset_right _ _)⟩)
⟨univ, mem_univ _, is_open_univ⟩
... = {s | ∃t⊆s, is_open t ∧ a ∈ t} :
le_antisymm
(supr_le $ assume i, supr_le $ assume ⟨hi₁, hi₂⟩ t ht, ⟨i, ht, hi₂, hi₁⟩)
(assume t ⟨i, hi₁, hi₂, hi₃⟩, mem_Union.2 ⟨i, mem_Union.2 ⟨⟨hi₃, hi₂⟩, hi₁⟩⟩)
lemma map_nhds {a : α} {f : α → β} :
map f (nhds a) = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, principal (image f s)) :=
calc map f (nhds a) = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, map f (principal s)) :
map_binfi_eq
(assume x ⟨hx₁, hx₂⟩ y ⟨hy₁, hy₂⟩,
⟨x ∩ y, ⟨⟨hx₁, hy₁⟩, is_open_inter hx₂ hy₂⟩,
le_principal_iff.2 (inter_subset_left _ _),
le_principal_iff.2 (inter_subset_right _ _)⟩)
⟨univ, mem_univ _, is_open_univ⟩
... = _ : by simp only [map_principal]
attribute [irreducible] nhds
lemma mem_nhds_sets_iff {a : α} {s : set α} :
s ∈ nhds a ↔ ∃t⊆s, is_open t ∧ a ∈ t :=
by simp only [nhds_sets, mem_set_of_eq, exists_prop]
lemma mem_of_nhds {a : α} {s : set α} : s ∈ nhds a → a ∈ s :=
λ H, let ⟨t, ht, _, hs⟩ := mem_nhds_sets_iff.1 H in ht hs
lemma mem_nhds_sets {a : α} {s : set α} (hs : is_open s) (ha : a ∈ s) :
s ∈ nhds a :=
mem_nhds_sets_iff.2 ⟨s, subset.refl _, hs, ha⟩
theorem all_mem_nhds (x : α) (P : set α → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ nhds x, P s) ↔ (∀ s, is_open s → x ∈ s → P s) :=
iff.intro
(λ h s os xs, h s (mem_nhds_sets os xs))
(λ h t,
begin
change t ∈ (nhds x).sets → P t,
rw nhds_sets,
rintros ⟨s, hs, opens, xs⟩,
exact hP _ _ hs (h s opens xs),
end)
theorem all_mem_nhds_filter (x : α) (f : set α → set β) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : filter β) :
(∀ s ∈ nhds x, f s ∈ l) ↔ (∀ s, is_open s → x ∈ s → f s ∈ l) :=
all_mem_nhds _ _ (λ s t ssubt h, mem_sets_of_superset h (hf s t ssubt))
theorem rtendsto_nhds {r : rel β α} {l : filter β} {a : α} :
rtendsto r l (nhds a) ↔ (∀ s, is_open s → a ∈ s → r.core s ∈ l) :=
all_mem_nhds_filter _ _ (λ s t h, λ x hx, λ y hy, h (hx y hy)) _
theorem rtendsto'_nhds {r : rel β α} {l : filter β} {a : α} :
rtendsto' r l (nhds a) ↔ (∀ s, is_open s → a ∈ s → r.preimage s ∈ l) :=
by { rw [rtendsto'_def], apply all_mem_nhds_filter, apply rel.preimage_mono }
theorem ptendsto_nhds {f : β →. α} {l : filter β} {a : α} :
ptendsto f l (nhds a) ↔ (∀ s, is_open s → a ∈ s → f.core s ∈ l) :=
rtendsto_nhds
theorem ptendsto'_nhds {f : β →. α} {l : filter β} {a : α} :
ptendsto' f l (nhds a) ↔ (∀ s, is_open s → a ∈ s → f.preimage s ∈ l) :=
rtendsto'_nhds
theorem tendsto_nhds {f : β → α} {l : filter β} {a : α} :
tendsto f l (nhds a) ↔ (∀ s, is_open s → a ∈ s → f ⁻¹' s ∈ l) :=
all_mem_nhds_filter _ _ (λ s t h, preimage_mono h) _
lemma tendsto_const_nhds {a : α} {f : filter β} : tendsto (λb:β, a) f (nhds a) :=
tendsto_nhds.mpr $ assume s hs ha, univ_mem_sets' $ assume _, ha
lemma pure_le_nhds : pure ≤ (nhds : α → filter α) :=
assume a, by rw nhds_def; exact le_infi
(assume s, le_infi $ assume ⟨h₁, _⟩, principal_mono.mpr $
singleton_subset_iff.2 h₁)
lemma tendsto_pure_nhds [topological_space β] (f : α → β) (a : α) :
tendsto f (pure a) (nhds (f a)) :=
begin
rw [tendsto, filter.map_pure],
exact pure_le_nhds (f a)
end
@[simp] lemma nhds_neq_bot {a : α} : nhds a ≠ ⊥ :=
assume : nhds a = ⊥,
have pure a = (⊥ : filter α),
from lattice.bot_unique $ this ▸ pure_le_nhds a,
pure_neq_bot this
lemma interior_eq_nhds {s : set α} : interior s = {a | nhds a ≤ principal s} :=
set.ext $ λ x, by simp only [mem_interior, le_principal_iff, mem_nhds_sets_iff]; refl
lemma mem_interior_iff_mem_nhds {s : set α} {a : α} :
a ∈ interior s ↔ s ∈ nhds a :=
by simp only [interior_eq_nhds, le_principal_iff]; refl
lemma is_open_iff_nhds {s : set α} : is_open s ↔ ∀a∈s, nhds a ≤ principal s :=
calc is_open s ↔ s ⊆ interior s : subset_interior_iff_open.symm
... ↔ (∀a∈s, nhds a ≤ principal s) : by rw [interior_eq_nhds]; refl
lemma is_open_iff_mem_nhds {s : set α} : is_open s ↔ ∀a∈s, s ∈ nhds a :=
is_open_iff_nhds.trans $ forall_congr $ λ _, imp_congr_right $ λ _, le_principal_iff
lemma closure_eq_nhds {s : set α} : closure s = {a | nhds a ⊓ principal s ≠ ⊥} :=
calc closure s = - interior (- s) : closure_eq_compl_interior_compl
... = {a | ¬ nhds a ≤ principal (-s)} : by rw [interior_eq_nhds]; refl
... = {a | nhds a ⊓ principal s ≠ ⊥} : set.ext $ assume a, not_congr
(inf_eq_bot_iff_le_compl
(show principal s ⊔ principal (-s) = ⊤, by simp only [sup_principal, union_compl_self, principal_univ])
(by simp only [inf_principal, inter_compl_self, principal_empty])).symm
theorem mem_closure_iff_nhds {s : set α} {a : α} : a ∈ closure s ↔ ∀ t ∈ nhds a, t ∩ s ≠ ∅ :=
mem_closure_iff.trans
⟨λ H t ht, subset_ne_empty
(inter_subset_inter_left _ interior_subset)
(H _ is_open_interior (mem_interior_iff_mem_nhds.2 ht)),
λ H o oo ao, H _ (mem_nhds_sets oo ao)⟩
/-- `x` belongs to the closure of `s` if and only if some ultrafilter
supported on `s` converges to `x`. -/
lemma mem_closure_iff_ultrafilter {s : set α} {x : α} :
x ∈ closure s ↔ ∃ (u : ultrafilter α), s ∈ u.val ∧ u.val ≤ nhds x :=
begin
rw closure_eq_nhds, change nhds x ⊓ principal s ≠ ⊥ ↔ _, symmetry,
convert exists_ultrafilter_iff _, ext u,
rw [←le_principal_iff, inf_comm, le_inf_iff]
end
lemma is_closed_iff_nhds {s : set α} : is_closed s ↔ ∀a, nhds a ⊓ principal s ≠ ⊥ → a ∈ s :=
calc is_closed s ↔ closure s = s : by rw [closure_eq_iff_is_closed]
... ↔ closure s ⊆ s : ⟨assume h, by rw h, assume h, subset.antisymm h subset_closure⟩
... ↔ (∀a, nhds a ⊓ principal s ≠ ⊥ → a ∈ s) : by rw [closure_eq_nhds]; refl
lemma closure_inter_open {s t : set α} (h : is_open s) : s ∩ closure t ⊆ closure (s ∩ t) :=
assume a ⟨hs, ht⟩,
have s ∈ nhds a, from mem_nhds_sets h hs,
have nhds a ⊓ principal s = nhds a, from inf_of_le_left $ by rwa le_principal_iff,
have nhds a ⊓ principal (s ∩ t) ≠ ⊥,
from calc nhds a ⊓ principal (s ∩ t) = nhds a ⊓ (principal s ⊓ principal t) : by rw inf_principal
... = nhds a ⊓ principal t : by rw [←inf_assoc, this]
... ≠ ⊥ : by rw [closure_eq_nhds] at ht; assumption,
by rw [closure_eq_nhds]; assumption
lemma closure_diff {s t : set α} : closure s - closure t ⊆ closure (s - t) :=
calc closure s \ closure t = (- closure t) ∩ closure s : by simp only [diff_eq, inter_comm]
... ⊆ closure (- closure t ∩ s) : closure_inter_open $ is_open_compl_iff.mpr $ is_closed_closure
... = closure (s \ closure t) : by simp only [diff_eq, inter_comm]
... ⊆ closure (s \ t) : closure_mono $ diff_subset_diff (subset.refl s) subset_closure
lemma mem_of_closed_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
(hb : b ≠ ⊥) (hf : tendsto f b (nhds a)) (hs : is_closed s) (h : f ⁻¹' s ∈ b) : a ∈ s :=
have b.map f ≤ nhds a ⊓ principal s,
from le_trans (le_inf (le_refl _) (le_principal_iff.mpr h)) (inf_le_inf hf (le_refl _)),
is_closed_iff_nhds.mp hs a $ neq_bot_of_le_neq_bot (map_ne_bot hb) this
lemma mem_of_closed_of_tendsto' {f : β → α} {x : filter β} {a : α} {s : set α}
(hf : tendsto f x (nhds a)) (hs : is_closed s) (h : x ⊓ principal (f ⁻¹' s) ≠ ⊥) : a ∈ s :=
is_closed_iff_nhds.mp hs _ $ neq_bot_of_le_neq_bot (@map_ne_bot _ _ _ f h) $
le_inf (le_trans (map_mono $ inf_le_left) hf) $
le_trans (map_mono $ inf_le_right_of_le $ by simp only [comap_principal, le_principal_iff]; exact subset.refl _) (@map_comap_le _ _ _ f)
lemma mem_closure_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
(hb : b ≠ ⊥) (hf : tendsto f b (nhds a)) (h : f ⁻¹' s ∈ b) : a ∈ closure s :=
mem_of_closed_of_tendsto hb hf (is_closed_closure) $
filter.mem_sets_of_superset h (preimage_mono subset_closure)
section lim
variables [inhabited α]
/-- If `f` is a filter, then `lim f` is a limit of the filter, if it exists. -/
noncomputable def lim (f : filter α) : α := epsilon $ λa, f ≤ nhds a
lemma lim_spec {f : filter α} (h : ∃a, f ≤ nhds a) : f ≤ nhds (lim f) := epsilon_spec h
end lim
/-- The "neighborhood within" filter. Elements of `nhds_within a s` are sets containing the
intersection of `s` and a neighborhood of `a`. -/
def nhds_within (a : α) (s : set α) : filter α := nhds a ⊓ principal s
theorem nhds_within_eq (a : α) (s : set α) :
nhds_within a s = ⨅ t ∈ {t : set α | a ∈ t ∧ is_open t}, principal (t ∩ s) :=
have set.univ ∈ {s : set α | a ∈ s ∧ is_open s}, from ⟨set.mem_univ _, is_open_univ⟩,
begin
rw [nhds_within, nhds, lattice.binfi_inf]; try { exact this },
simp only [inf_principal]
end
theorem nhds_within_univ (a : α) : nhds_within a set.univ = nhds a :=
by rw [nhds_within, principal_univ, lattice.inf_top_eq]
theorem mem_nhds_within (t : set α) (a : α) (s : set α) :
t ∈ nhds_within a s ↔ ∃ u, is_open u ∧ a ∈ u ∧ u ∩ s ⊆ t :=
begin
rw [nhds_within, mem_inf_principal, mem_nhds_sets_iff], split,
{ rintros ⟨u, hu, openu, au⟩,
exact ⟨u, openu, au, λ x ⟨xu, xs⟩, hu xu xs⟩ },
rintros ⟨u, openu, au, hu⟩,
exact ⟨u, λ x xu xs, hu ⟨xu, xs⟩, openu, au⟩
end
theorem self_mem_nhds_within {a : α} {s : set α} : s ∈ nhds_within a s :=
begin
rw [nhds_within, mem_inf_principal],
simp only [imp_self],
exact univ_mem_sets
end
theorem inter_mem_nhds_within (s : set α) {t : set α} {a : α} (h : t ∈ nhds a) :
s ∩ t ∈ nhds_within a s :=
inter_mem_sets (mem_inf_sets_of_right (mem_principal_self s)) (mem_inf_sets_of_left h)
theorem nhds_within_mono (a : α) {s t : set α} (h : s ⊆ t) : nhds_within a s ≤ nhds_within a t :=
lattice.inf_le_inf (le_refl _) (principal_mono.mpr h)
theorem nhds_within_restrict'' {a : α} (s : set α) {t : set α} (h : t ∈ nhds_within a s) :
nhds_within a s = nhds_within a (s ∩ t) :=
le_antisymm
(lattice.le_inf lattice.inf_le_left (le_principal_iff.mpr (inter_mem_sets self_mem_nhds_within h)))
(lattice.inf_le_inf (le_refl _) (principal_mono.mpr (set.inter_subset_left _ _)))
theorem nhds_within_restrict' {a : α} (s : set α) {t : set α} (h : t ∈ nhds a) :
nhds_within a s = nhds_within a (s ∩ t) :=
nhds_within_restrict'' s $ mem_inf_sets_of_left h
theorem nhds_within_restrict {a : α} (s : set α) {t : set α} (h₀ : a ∈ t) (h₁ : is_open t) :
nhds_within a s = nhds_within a (s ∩ t) :=
nhds_within_restrict' s (mem_nhds_sets h₁ h₀)
theorem nhds_within_le_of_mem {a : α} {s t : set α} (h : s ∈ nhds_within a t) :
nhds_within a t ≤ nhds_within a s :=
begin
rcases (mem_nhds_within _ _ _).1 h with ⟨u, u_open, au, uts⟩,
have : nhds_within a t = nhds_within a (t ∩ u) := nhds_within_restrict _ au u_open,
rw [this, inter_comm],
exact nhds_within_mono _ uts
end
theorem nhds_within_eq_nhds_within {a : α} {s t u : set α}
(h₀ : a ∈ s) (h₁ : is_open s) (h₂ : t ∩ s = u ∩ s) :
nhds_within a t = nhds_within a u :=
by rw [nhds_within_restrict t h₀ h₁, nhds_within_restrict u h₀ h₁, h₂]
theorem nhds_within_eq_of_open {a : α} {s : set α} (h₀ : a ∈ s) (h₁ : is_open s) :
nhds_within a s = nhds a :=
by rw [←nhds_within_univ]; apply nhds_within_eq_nhds_within h₀ h₁;
rw [set.univ_inter, set.inter_self]
@[simp] theorem nhds_within_empty (a : α) : nhds_within a {} = ⊥ :=
by rw [nhds_within, principal_empty, lattice.inf_bot_eq]
theorem nhds_within_union (a : α) (s t : set α) :
nhds_within a (s ∪ t) = nhds_within a s ⊔ nhds_within a t :=
by unfold nhds_within; rw [←lattice.inf_sup_left, sup_principal]
theorem nhds_within_inter (a : α) (s t : set α) :
nhds_within a (s ∩ t) = nhds_within a s ⊓ nhds_within a t :=
by unfold nhds_within; rw [lattice.inf_left_comm, lattice.inf_assoc, inf_principal,
←lattice.inf_assoc, lattice.inf_idem]
theorem nhds_within_inter' (a : α) (s t : set α) :
nhds_within a (s ∩ t) = (nhds_within a s) ⊓ principal t :=
by { unfold nhds_within, rw [←inf_principal, lattice.inf_assoc] }
theorem tendsto_if_nhds_within {f g : α → β} {p : α → Prop} [decidable_pred p]
{a : α} {s : set α} {l : filter β}
(h₀ : tendsto f (nhds_within a (s ∩ p)) l)
(h₁ : tendsto g (nhds_within a (s ∩ {x | ¬ p x})) l) :
tendsto (λ x, if p x then f x else g x) (nhds_within a s) l :=
by apply tendsto_if; rw [←nhds_within_inter']; assumption
lemma map_nhds_within (f : α → β) (a : α) (s : set α) :
map f (nhds_within a s) =
⨅ t ∈ {t : set α | a ∈ t ∧ is_open t}, principal (set.image f (t ∩ s)) :=
have h₀ : directed_on ((λ (i : set α), principal (i ∩ s)) ⁻¹'o ge)
{x : set α | x ∈ {t : set α | a ∈ t ∧ is_open t}}, from
assume x ⟨ax, openx⟩ y ⟨ay, openy⟩,
⟨x ∩ y, ⟨⟨ax, ay⟩, is_open_inter openx openy⟩,
le_principal_iff.mpr (set.inter_subset_inter_left _ (set.inter_subset_left _ _)),
le_principal_iff.mpr (set.inter_subset_inter_left _ (set.inter_subset_right _ _))⟩,
have h₁ : ∃ (i : set α), i ∈ {t : set α | a ∈ t ∧ is_open t},
from ⟨set.univ, set.mem_univ _, is_open_univ⟩,
by { rw [nhds_within_eq, map_binfi_eq h₀ h₁], simp only [map_principal] }
theorem tendsto_nhds_within_mono_left {f : α → β} {a : α}
{s t : set α} {l : filter β} (hst : s ⊆ t) (h : tendsto f (nhds_within a t) l) :
tendsto f (nhds_within a s) l :=
tendsto_le_left (nhds_within_mono a hst) h
theorem tendsto_nhds_within_mono_right {f : β → α} {l : filter β}
{a : α} {s t : set α} (hst : s ⊆ t) (h : tendsto f l (nhds_within a s)) :
tendsto f l (nhds_within a t) :=
tendsto_le_right (nhds_within_mono a hst) h
theorem tendsto_nhds_within_of_tendsto_nhds {f : α → β} {a : α}
{s : set α} {l : filter β} (h : tendsto f (nhds a) l) :
tendsto f (nhds_within a s) l :=
by rw [←nhds_within_univ] at h; exact tendsto_nhds_within_mono_left (set.subset_univ _) h
/- locally finite family [General Topology (Bourbaki, 1995)] -/
section locally_finite
/-- A family of sets in `set α` is locally finite if at every point `x:α`,
there is a neighborhood of `x` which meets only finitely many sets in the family -/
def locally_finite (f : β → set α) :=
∀x:α, ∃t ∈ nhds x, finite {i | f i ∩ t ≠ ∅ }
lemma locally_finite_of_finite {f : β → set α} (h : finite (univ : set β)) : locally_finite f :=
assume x, ⟨univ, univ_mem_sets, finite_subset h $ subset_univ _⟩
lemma locally_finite_subset
{f₁ f₂ : β → set α} (hf₂ : locally_finite f₂) (hf : ∀b, f₁ b ⊆ f₂ b) : locally_finite f₁ :=
assume a,
let ⟨t, ht₁, ht₂⟩ := hf₂ a in
⟨t, ht₁, finite_subset ht₂ $ assume i hi,
neq_bot_of_le_neq_bot hi $ inter_subset_inter (hf i) $ subset.refl _⟩
lemma is_closed_Union_of_locally_finite {f : β → set α}
(h₁ : locally_finite f) (h₂ : ∀i, is_closed (f i)) : is_closed (⋃i, f i) :=
is_open_iff_nhds.mpr $ assume a, assume h : a ∉ (⋃i, f i),
have ∀i, a ∈ -f i,
from assume i hi, h $ mem_Union.2 ⟨i, hi⟩,
have ∀i, - f i ∈ (nhds a).sets,
by rw [nhds_sets]; exact assume i, ⟨- f i, subset.refl _, h₂ i, this i⟩,
let ⟨t, h_sets, (h_fin : finite {i | f i ∩ t ≠ ∅ })⟩ := h₁ a in
calc nhds a ≤ principal (t ∩ (⋂ i∈{i | f i ∩ t ≠ ∅ }, - f i)) :
begin
rw [le_principal_iff],
apply @filter.inter_mem_sets _ (nhds a) _ _ h_sets,
apply @filter.Inter_mem_sets _ (nhds a) _ _ _ h_fin,
exact assume i h, this i
end
... ≤ principal (- ⋃i, f i) :
begin
simp only [principal_mono, subset_def, mem_compl_eq, mem_inter_eq,
mem_Inter, mem_set_of_eq, mem_Union, and_imp, not_exists,
not_eq_empty_iff_exists, exists_imp_distrib, (≠)],
exact assume x xt ht i xfi, ht i x xfi xt xfi
end
end locally_finite
end topological_space
section continuous
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variables [topological_space α] [topological_space β] [topological_space γ]
/-- A function between topological spaces is continuous if the preimage
of every open set is open. -/
def continuous (f : α → β) := ∀s, is_open s → is_open (f ⁻¹' s)
/-- A function between topological spaces is continuous at a point `x₀`
if `f x` tends to `f x₀` when `x` tends to `x₀`. -/
def continuous_at (f : α → β) (x : α) := tendsto f (nhds x) (nhds (f x))
/-- A function between topological spaces is continuous at a point `x₀` within a subset `s`
if `f x` tends to `f x₀` when `x` tends to `x₀` while staying within `s`. -/
def continuous_within_at (f : α → β) (s : set α) (x : α) : Prop :=
tendsto f (nhds_within x s) (nhds (f x))
/-- A function between topological spaces is continuous on a subset `s`
when it's continuous at every point of `s` within `s`. -/
def continuous_on (f : α → β) (s : set α) : Prop := ∀ x ∈ s, continuous_within_at f s x
lemma continuous_id : continuous (id : α → α) :=
assume s h, h
lemma continuous.comp {g : β → γ} {f : α → β} (hg : continuous g) (hf : continuous f) :
continuous (g ∘ f) :=
assume s h, hf _ (hg s h)
lemma continuous.tendsto {f : α → β} (hf : continuous f) (x) :
tendsto f (nhds x) (nhds (f x)) | s :=
show s ∈ nhds (f x) → s ∈ map f (nhds x),
by simp [nhds_sets]; exact
assume t t_subset t_open fx_in_t,
⟨f ⁻¹' t, preimage_mono t_subset, hf t t_open, fx_in_t⟩
lemma continuous_iff_continuous_at {f : α → β} : continuous f ↔ ∀ x, continuous_at f x :=
⟨continuous.tendsto,
assume hf : ∀x, tendsto f (nhds x) (nhds (f x)),
assume s, assume hs : is_open s,
have ∀a, f a ∈ s → s ∈ nhds (f a),
by simp [nhds_sets]; exact assume a ha, ⟨s, subset.refl s, hs, ha⟩,
show is_open (f ⁻¹' s),
by simp [is_open_iff_nhds]; exact assume a ha, hf a (this a ha)⟩
lemma continuous_const {b : β} : continuous (λa:α, b) :=
continuous_iff_continuous_at.mpr $ assume a, tendsto_const_nhds
lemma continuous_iff_is_closed {f : α → β} :
continuous f ↔ (∀s, is_closed s → is_closed (f ⁻¹' s)) :=
⟨assume hf s hs, hf (-s) hs,
assume hf s, by rw [←is_closed_compl_iff, ←is_closed_compl_iff]; exact hf _⟩
lemma continuous_at_iff_ultrafilter {f : α → β} (x) : continuous_at f x ↔
∀ g, is_ultrafilter g → g ≤ nhds x → g.map f ≤ nhds (f x) :=
tendsto_iff_ultrafilter f (nhds x) (nhds (f x))
lemma continuous_iff_ultrafilter {f : α → β} :
continuous f ↔ ∀ x g, is_ultrafilter g → g ≤ nhds x → g.map f ≤ nhds (f x) :=
by simp only [continuous_iff_continuous_at, continuous_at_iff_ultrafilter]
lemma continuous_if {p : α → Prop} {f g : α → β} {h : ∀a, decidable (p a)}
(hp : ∀a∈frontier {a | p a}, f a = g a) (hf : continuous f) (hg : continuous g) :
continuous (λa, @ite (p a) (h a) β (f a) (g a)) :=
continuous_iff_is_closed.mpr $
assume s hs,
have (λa, ite (p a) (f a) (g a)) ⁻¹' s =
(closure {a | p a} ∩ f ⁻¹' s) ∪ (closure {a | ¬ p a} ∩ g ⁻¹' s),
from set.ext $ assume a,
classical.by_cases
(assume : a ∈ frontier {a | p a},
have hac : a ∈ closure {a | p a}, from this.left,
have hai : a ∈ closure {a | ¬ p a},
from have a ∈ - interior {a | p a}, from this.right, by rwa [←closure_compl] at this,
by by_cases p a; simp [h, hp a this, hac, hai, iff_def] {contextual := tt})
(assume hf : a ∈ - frontier {a | p a},
classical.by_cases
(assume : p a,
have hc : a ∈ closure {a | p a}, from subset_closure this,
have hnc : a ∉ closure {a | ¬ p a},
by show a ∉ closure (- {a | p a}); rw [closure_compl]; simpa [frontier, hc] using hf,
by simp [this, hc, hnc])
(assume : ¬ p a,
have hc : a ∈ closure {a | ¬ p a}, from subset_closure this,
have hnc : a ∉ closure {a | p a},
begin
have hc : a ∈ closure (- {a | p a}), from hc,
simp [closure_compl] at hc,
simpa [frontier, hc] using hf
end,
by simp [this, hc, hnc])),
by rw [this]; exact is_closed_union
(is_closed_inter is_closed_closure $ continuous_iff_is_closed.mp hf s hs)
(is_closed_inter is_closed_closure $ continuous_iff_is_closed.mp hg s hs)
/- Continuity and partial functions -/
/-- Continuity of a partial function -/
def pcontinuous (f : α →. β) := ∀ s, is_open s → is_open (f.preimage s)
lemma open_dom_of_pcontinuous {f : α →. β} (h : pcontinuous f) : is_open f.dom :=
by rw [←pfun.preimage_univ]; exact h _ is_open_univ
lemma pcontinuous_iff' {f : α →. β} :
pcontinuous f ↔ ∀ {x y} (h : y ∈ f x), ptendsto' f (nhds x) (nhds y) :=
begin
split,
{ intros h x y h',
rw [ptendsto'_def],
change ∀ (s : set β), s ∈ (nhds y).sets → pfun.preimage f s ∈ (nhds x).sets,
rw [nhds_sets, nhds_sets],
rintros s ⟨t, tsubs, opent, yt⟩,
exact ⟨f.preimage t, pfun.preimage_mono _ tsubs, h _ opent, ⟨y, yt, h'⟩⟩
},
intros hf s os,
rw is_open_iff_nhds,
rintros x ⟨y, ys, fxy⟩ t,
rw [mem_principal_sets],
assume h : f.preimage s ⊆ t,
change t ∈ nhds x,
apply mem_sets_of_superset _ h,
have h' : ∀ s ∈ nhds y, f.preimage s ∈ nhds x,
{ intros s hs,
have : ptendsto' f (nhds x) (nhds y) := hf fxy,
rw ptendsto'_def at this,
exact this s hs },
show f.preimage s ∈ nhds x,
apply h', rw mem_nhds_sets_iff, exact ⟨s, set.subset.refl _, os, ys⟩
end
lemma image_closure_subset_closure_image {f : α → β} {s : set α} (h : continuous f) :
f '' closure s ⊆ closure (f '' s) :=
have ∀ (a : α), nhds a ⊓ principal s ≠ ⊥ → nhds (f a) ⊓ principal (f '' s) ≠ ⊥,
from assume a ha,
have h₁ : ¬ map f (nhds a ⊓ principal s) = ⊥,
by rwa[map_eq_bot_iff],
have h₂ : map f (nhds a ⊓ principal s) ≤ nhds (f a) ⊓ principal (f '' s),
from le_inf
(le_trans (map_mono inf_le_left) $ by rw [continuous_iff_continuous_at] at h; exact h a)
(le_trans (map_mono inf_le_right) $ by simp; exact subset.refl _),
neq_bot_of_le_neq_bot h₁ h₂,
by simp [image_subset_iff, closure_eq_nhds]; assumption
lemma mem_closure [topological_space α] [topological_space β]
{s : set α} {t : set β} {f : α → β} {a : α}
(hf : continuous f) (ha : a ∈ closure s) (ht : ∀a∈s, f a ∈ t) : f a ∈ closure t :=
subset.trans (image_closure_subset_closure_image hf) (closure_mono $ image_subset_iff.2 ht) $
(mem_image_of_mem f ha)
end continuous
|
d20c8ba27a45bdab1e8c9ad244499a85542fee24 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /hott/homotopy/vankampen.hlean | f1afb104f0ddd149fd5b2d3685c6ff4c305d48a0 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 14,836 | hlean | /-
Copyright (c) 2016 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import hit.pushout hit.prop_trunc algebra.category.constructions.pushout
algebra.category.constructions.fundamental_groupoid algebra.category.functor.equivalence
open eq pushout category functor sum iso paths set_quotient is_trunc trunc pi quotient
is_equiv fiber equiv function
namespace pushout
section
universe variables u v w
parameters {S TL : Type.{u}} -- do we want to put these in different universe levels?
{BL : Type.{v}} {TR : Type.{w}} (k : S → TL) (f : TL → BL) (g : TL → TR)
[ksurj : is_surjective k]
definition pushout_of_sum [unfold 6] (x : BL + TR) : pushout f g :=
quotient.class_of _ x
include ksurj
local notation `F` := Π₁⇒ f
local notation `G` := Π₁⇒ g
local notation `C` := Groupoid_bpushout k F G
local notation `R` := bpushout_prehom_index k F G
local notation `Q` := bpushout_hom_rel_index k F G
local attribute is_trunc_equiv [instance]
open category.bpushout_prehom_index category.bpushout_hom_rel_index paths.paths_rel
protected definition code_equiv_pt (x : BL + TR) {y : TL} {s : S} (p : k s = y) :
@hom C _ x (sum.inl (f y)) ≃ @hom C _ x (sum.inr (g y)) :=
begin
fapply equiv_postcompose,
{ apply class_of,
refine [iE k F G (tap g (tr p)), DE k F G s, iD k F G (tap f (tr p⁻¹))]},
refine all_iso _
end
protected definition code_equiv_pt_constant (x : BL + TR) {y : TL} {s s' : S}
(p : k s = y) (p' : k s' = y) : code_equiv_pt x p = code_equiv_pt x p' :=
begin
apply equiv_eq, intro g,
apply ap (λx, x ∘ _),
induction p',
refine eq_of_rel (tr _) ⬝ (eq_of_rel (tr _))⁻¹,
{ exact [DE k _ _ s']},
{ refine rtrans (rel [_] (cohDE F G (tr p))) _,
refine rtrans (rcons _ (rel [] !DD)) _,
refine tr_rev (λx, paths_rel _ [_ , iD k F G (tr x)] _)
(!ap_con⁻¹ ⬝ ap02 f !con.left_inv) _,
exact rcons _ (rel [] !idD)},
refine rtrans (rel _ !idE) _,
exact rcons _ (rel [] !idD)
end
protected definition code_equiv (x : BL + TR) (y : TL) :
@hom C _ x (sum.inl (f y)) ≃ @hom C _ x (sum.inr (g y)) :=
begin
refine @is_prop.elim_set _ _ _ _ _ (ksurj y), { apply @is_trunc_equiv: apply is_set_hom},
{ intro v, cases v with s p,
exact code_equiv_pt x p},
intro v v', cases v with s p, cases v' with s' p',
exact code_equiv_pt_constant x p p'
end
theorem code_equiv_eq (x : BL + TR) (s : S) :
code_equiv x (k s) = @(equiv_postcompose (class_of [DE k F G s])) !all_iso :=
begin
apply equiv_eq, intro h,
-- induction h using set_quotient.rec_prop with l,
refine @set_quotient.rec_prop _ _ _ _ _ h, {intro l, apply is_trunc_eq, apply is_set_hom},
intro l,
have ksurj (k s) = tr (fiber.mk s idp), from !is_prop.elim,
refine ap (λz, to_fun (@is_prop.elim_set _ _ _ _ _ z) (class_of l)) this ⬝ _,
change class_of ([iE k F G (tr idp), DE k F G s, iD k F G (tr idp)] ++ l) =
class_of (DE k F G s :: l) :> @hom C _ _ _,
refine eq_of_rel (tr _) ⬝ (eq_of_rel (tr _)),
{ exact DE k F G s :: iD k F G (tr idp) :: l},
{ change paths_rel Q ([iE k F G (tr idp)] ++ (DE k F G s :: iD k F G (tr idp) :: l))
(nil ++ (DE k F G s :: iD k F G (tr idp) :: l)),
apply rel ([DE k F G s, iD k F G (tr idp)] ++ l),
apply idE},
{ apply rcons, rewrite [-nil_append l at {2}, -singleton_append], apply rel l, apply idD}
end
theorem to_fun_code_equiv (x : BL + TR) (s : S) (h : @hom C _ x (sum.inl (f (k s)))) :
(to_fun (code_equiv x (k s)) h) = @comp C _ _ _ _ (class_of [DE k F G s]) h :=
ap010 to_fun !code_equiv_eq h
protected definition code [unfold 10] (x : BL + TR) (y : pushout f g) : Type.{max u v w} :=
begin
refine quotient.elim_type _ _ y,
{ clear y, intro y, exact @hom C _ x y},
clear y, intro y z r, induction r with y,
exact code_equiv x y
end
/-
[iE (ap g p), DE s, iD (ap f p⁻¹)]
-->
[DE s', iD (ap f p), iD (ap f p⁻¹)]
-->
[DE s', iD (ap f p ∘ ap f p⁻¹)]
-->
[DE s']
<--
[iE 1, DE s', iD 1]
-/
definition is_set_code (x : BL + TR) (y : pushout f g) : is_set (code x y) :=
begin
induction y using pushout.rec_prop, apply is_set_hom, apply is_set_hom,
end
local attribute is_set_code [instance]
-- encode is easy
definition encode {x : BL + TR} {y : pushout f g} (p : trunc 0 (pushout_of_sum x = y)) :
code x y :=
begin
induction p with p,
exact transport (code x) p id
end
-- decode is harder
definition decode_reduction_rule [unfold 11] ⦃x x' : BL + TR⦄ (i : R x x') :
trunc 0 (pushout_of_sum x = pushout_of_sum x') :=
begin
induction i,
{ exact tap inl f_1},
{ exact tap inr g_1},
{ exact tr (glue (k s))},
{ exact tr (glue (k s))⁻¹},
end
definition decode_list ⦃x x' : BL + TR⦄ (l : paths R x x') :
trunc 0 (pushout_of_sum x = pushout_of_sum x') :=
realize (λa a', trunc 0 (pushout_of_sum a = pushout_of_sum a'))
decode_reduction_rule
(λa, tidp)
(λa₁ a₂ a₃, tconcat) l
definition decode_list_nil (x : BL + TR) : decode_list (@nil _ _ x) = tidp :=
idp
definition decode_list_cons ⦃x₁ x₂ x₃ : BL + TR⦄ (r : R x₂ x₃) (l : paths R x₁ x₂) :
decode_list (r :: l) = tconcat (decode_list l) (decode_reduction_rule r) :=
idp
definition decode_list_singleton ⦃x₁ x₂ : BL + TR⦄ (r : R x₁ x₂) :
decode_list [r] = decode_reduction_rule r :=
realize_singleton (λa b p, tidp_tcon p) r
definition decode_list_pair ⦃x₁ x₂ x₃ : BL + TR⦄ (r₂ : R x₂ x₃) (r₁ : R x₁ x₂) :
decode_list [r₂, r₁] = tconcat (decode_reduction_rule r₁) (decode_reduction_rule r₂) :=
realize_pair (λa b p, tidp_tcon p) r₂ r₁
definition decode_list_append ⦃x₁ x₂ x₃ : BL + TR⦄ (l₂ : paths R x₂ x₃)
(l₁ : paths R x₁ x₂) :
decode_list (l₂ ++ l₁) = tconcat (decode_list l₁) (decode_list l₂) :=
realize_append (λa b c d, tassoc) (λa b, tcon_tidp) l₂ l₁
theorem decode_list_rel ⦃x x' : BL + TR⦄ {l l' : paths R x x'} (H : Q l l') :
decode_list l = decode_list l' :=
begin
induction H,
{ rewrite [decode_list_pair, decode_list_singleton], exact !tap_tcon⁻¹},
{ rewrite [decode_list_pair, decode_list_singleton], exact !tap_tcon⁻¹},
{ rewrite [decode_list_pair, decode_list_nil], exact ap tr !con.right_inv},
{ rewrite [decode_list_pair, decode_list_nil], exact ap tr !con.left_inv},
{ apply decode_list_singleton},
{ apply decode_list_singleton},
{ rewrite [+decode_list_pair], induction h with p, apply ap tr, rewrite [-+ap_compose'],
exact !ap_con_eq_con_ap⁻¹},
{ rewrite [+decode_list_pair], induction h with p, apply ap tr, rewrite [-+ap_compose'],
apply ap_con_eq_con_ap}
end
definition decode_point [unfold 11] {x x' : BL + TR} (c : @hom C _ x x') :
trunc 0 (pushout_of_sum x = pushout_of_sum x') :=
begin
induction c with l,
{ exact decode_list l},
{ induction H with H, refine realize_eq _ _ _ H,
{ intros, apply tassoc},
{ intros, apply tcon_tidp},
{ clear H a a', intros, exact decode_list_rel a}}
end
theorem decode_coh (x : BL + TR) (y : TL) (p : trunc 0 (pushout_of_sum x = inl (f y))) :
p =[glue y] tconcat p (tr (glue y)) :=
begin
induction p with p,
apply trunc_pathover, apply eq_pathover_constant_left_id_right,
apply square_of_eq, exact !idp_con⁻¹
end
definition decode [unfold 7] {x : BL + TR} {y : pushout f g} (c : code x y) :
trunc 0 (pushout_of_sum x = y) :=
begin
induction y using quotient.rec with y,
{ exact decode_point c},
{ induction H with y, apply arrow_pathover_left, intro c,
revert c, apply @set_quotient.rec_prop, { intro z, apply is_trunc_pathover},
intro l,
refine _ ⬝op ap decode_point !quotient.elim_type_eq_of_rel⁻¹,
change pathover (λ a, trunc 0 (eq (pushout_of_sum x) a))
(decode_list l)
(eq_of_rel (pushout_rel f g) (pushout_rel.Rmk f g y))
(decode_point
(code_equiv x y (class_of l))),
note z := ksurj y, revert z,
apply @image.rec, { intro, apply is_trunc_pathover},
intro s p, induction p, rewrite to_fun_code_equiv,
refine _ ⬝op (decode_list_cons (DE k F G s) l)⁻¹,
esimp, generalize decode_list l,
apply @trunc.rec, { intro p, apply is_trunc_pathover},
intro p, apply trunc_pathover, apply eq_pathover_constant_left_id_right,
apply square_of_eq, exact !idp_con⁻¹}
end
-- report the failing of esimp in the commented-out proof below
-- definition decode [unfold 7] {x : BL + TR} {y : pushout f g} (c : code x y) :
-- trunc 0 (pushout_of_sum x = y) :=
-- begin
-- induction y using quotient.rec with y,
-- { exact decode_point c},
-- { induction H with y, apply arrow_pathover_left, intro c,
-- revert c, apply @set_quotient.rec_prop, { intro z, apply is_trunc_pathover},
-- intro l,
-- refine _ ⬝op ap decode_point !quotient.elim_type_eq_of_rel⁻¹,
-- -- REPORT THIS!!! esimp fails here, but works after this change
-- --esimp,
-- change pathover (λ (a : pushout f g), trunc 0 (eq (pushout_of_sum x) a))
-- (decode_point (class_of l))
-- (glue y)
-- (decode_point (class_of ((pushout_prehom_index.lr F G id) :: l))),
-- esimp, rewrite [▸*, decode_list_cons, ▸*], generalize (decode_list l), clear l,
-- apply @trunc.rec, { intro z, apply is_trunc_pathover},
-- intro p, apply trunc_pathover, apply eq_pathover_constant_left_id_right,
-- apply square_of_eq, exact !idp_con⁻¹}
-- end
-- decode-encode is easy
protected theorem decode_encode {x : BL + TR} {y : pushout f g}
(p : trunc 0 (pushout_of_sum x = y)) : decode (encode p) = p :=
begin
induction p with p, induction p, reflexivity
end
definition is_surjective.rec {A B : Type} {f : A → B} (Hf : is_surjective f)
{P : B → Type} [Πb, is_prop (P b)] (H : Πa, P (f a)) (b : B) : P b :=
by induction Hf b; exact p ▸ H a
-- encode-decode is harder
definition code_comp [unfold 8] {x y : BL + TR} {z : pushout f g}
(c : code x (pushout_of_sum y)) (d : code y z) : code x z :=
begin
induction z using quotient.rec with z,
{ exact d ∘ c},
{ induction H with z,
apply arrow_pathover_left, intro d,
refine !pathover_tr ⬝op _,
refine !elim_type_eq_of_rel ⬝ _ ⬝ ap _ !elim_type_eq_of_rel⁻¹,
note q := ksurj z, revert q, apply @image.rec, { intro, apply is_trunc_eq, apply is_set_code},
intro s p, induction p,
refine !to_fun_code_equiv ⬝ _ ⬝ ap (λh, h ∘ c) !to_fun_code_equiv⁻¹, apply assoc}
end
theorem encode_tcon' {x y : BL + TR} {z : pushout f g}
(p : trunc 0 (pushout_of_sum x = pushout_of_sum y))
(q : trunc 0 (pushout_of_sum y = z)):
encode (tconcat p q) = code_comp (encode p) (encode q) :=
begin
induction q with q,
induction q,
refine ap encode !tcon_tidp ⬝ _,
symmetry, apply id_left
end
theorem encode_tcon {x y z : BL + TR}
(p : trunc 0 (pushout_of_sum x = pushout_of_sum y))
(q : trunc 0 (pushout_of_sum y = pushout_of_sum z)):
encode (tconcat p q) = encode q ∘ encode p :=
encode_tcon' p q
open category.bpushout_hom_rel_index
theorem encode_decode_singleton {x y : BL + TR} (r : R x y) :
encode (decode_reduction_rule r) = class_of [r] :=
begin
have is_prop (encode (decode_reduction_rule r) = class_of [r]), from !is_trunc_eq,
induction r,
{ induction f_1 with p, induction p, symmetry, apply eq_of_rel,
apply tr, apply paths_rel_of_Q, apply idD},
{ induction g_1 with p, induction p, symmetry, apply eq_of_rel,
apply tr, apply paths_rel_of_Q, apply idE},
{ refine !elim_type_eq_of_rel ⬝ _, apply to_fun_code_equiv},
{ refine !elim_type_eq_of_rel_inv' ⬝ _, apply ap010 to_inv !code_equiv_eq}
end
local attribute pushout [reducible]
protected theorem encode_decode {x : BL + TR} {y : pushout f g} (c : code x y) :
encode (decode c) = c :=
begin
induction y using quotient.rec_prop with y,
revert c, apply @set_quotient.rec_prop, { intro, apply is_trunc_eq}, intro l,
change encode (decode_list l) = class_of l,
induction l,
{ reflexivity},
{ rewrite [decode_list_cons, encode_tcon, encode_decode_singleton, v_0]}
end
definition pushout_teq_equiv [constructor] (x : BL + TR) (y : pushout f g) :
trunc 0 (pushout_of_sum x = y) ≃ code x y :=
equiv.MK encode
decode
encode_decode
decode_encode
definition vankampen [constructor] (x y : BL + TR) :
trunc 0 (pushout_of_sum x = pushout_of_sum y) ≃ @hom C _ x y :=
pushout_teq_equiv x (pushout_of_sum y)
--Groupoid_pushout k F G
definition decode_point_comp [unfold 8] {x₁ x₂ x₃ : BL + TR}
(c₂ : @hom C _ x₂ x₃) (c₁ : @hom C _ x₁ x₂) :
decode_point (c₂ ∘ c₁) = tconcat (decode_point c₁) (decode_point c₂) :=
begin
induction c₂ using set_quotient.rec_prop with l₂,
induction c₁ using set_quotient.rec_prop with l₁,
apply decode_list_append
end
definition vankampen_functor [constructor] : C ⇒ Π₁ (pushout f g) :=
begin
fconstructor,
{ exact pushout_of_sum},
{ intro x y c, exact decode_point c},
{ intro x, reflexivity},
{ intro x y z d c, apply decode_point_comp}
end
definition fully_faithful_vankampen_functor : fully_faithful vankampen_functor :=
begin
intro x x',
fapply adjointify,
{ apply encode},
{ intro p, apply decode_encode},
{ intro c, apply encode_decode}
end
definition essentially_surjective_vankampen_functor : essentially_surjective vankampen_functor :=
begin
intro z, induction z using quotient.rec_prop with x,
apply exists.intro x, reflexivity
end
definition is_weak_equivalence_vankampen_functor [constructor] :
is_weak_equivalence vankampen_functor :=
begin
constructor,
{ exact fully_faithful_vankampen_functor},
{ exact essentially_surjective_vankampen_functor}
end
definition fundamental_groupoid_bpushout [constructor] :
Groupoid_bpushout k (Π₁⇒ f) (Π₁⇒ g) ≃w Π₁ (pushout f g) :=
weak_equivalence.mk vankampen_functor is_weak_equivalence_vankampen_functor
end
definition fundamental_groupoid_pushout [constructor] {TL BL TR : Type}
(f : TL → BL) (g : TL → TR) : Groupoid_bpushout (@id TL) (Π₁⇒ f) (Π₁⇒ g) ≃w Π₁ (pushout f g) :=
fundamental_groupoid_bpushout (@id TL) f g
end pushout
|
87a57b714828761ccc5756d3fdc7950cc7891c42 | ad0c7d243dc1bd563419e2767ed42fb323d7beea | /algebra/group_power.lean | 19fcd26a89a6e47f0e060c1315893515073f9835 | [
"Apache-2.0"
] | permissive | sebzim4500/mathlib | e0b5a63b1655f910dee30badf09bd7e191d3cf30 | 6997cafbd3a7325af5cb318561768c316ceb7757 | refs/heads/master | 1,585,549,958,618 | 1,538,221,723,000 | 1,538,221,723,000 | 150,869,076 | 0 | 0 | Apache-2.0 | 1,538,229,323,000 | 1,538,229,323,000 | null | UTF-8 | Lean | false | false | 18,658 | lean | /-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Robert Y. Lewis
The power operation on monoids and groups. We separate this from group, because it depends on
nat, which in turn depends on other parts of algebra.
We have "pow a n" for natural number powers, and "gpow a i" for integer powers. The notation
a^n is used for the first, but users can locally redefine it to gpow when needed.
Note: power adopts the convention that 0^0=1.
-/
import algebra.char_zero data.int.basic algebra.group algebra.ordered_field data.list.basic
universes u v
variable {α : Type u}
@[simp] theorem inv_one [division_ring α] : (1⁻¹ : α) = 1 := by rw [inv_eq_one_div, one_div_one]
@[simp] theorem inv_inv' [discrete_field α] {a:α} : a⁻¹⁻¹ = a :=
by rw [inv_eq_one_div, inv_eq_one_div, div_div_eq_mul_div]; simp [div_one]
/-- The power operation in a monoid. `a^n = a*a*...*a` n times. -/
def monoid.pow [monoid α] (a : α) : ℕ → α
| 0 := 1
| (n+1) := a * monoid.pow n
def add_monoid.smul [add_monoid α] (n : ℕ) (a : α) : α :=
@monoid.pow (multiplicative α) _ a n
precedence `•`:70
local infix ` • ` := add_monoid.smul
@[priority 5] instance monoid.has_pow [monoid α] : has_pow α ℕ := ⟨monoid.pow⟩
/- monoid -/
section monoid
variables [monoid α] {β : Type u} [add_monoid β]
@[simp] theorem pow_zero (a : α) : a^0 = 1 := rfl
@[simp] theorem add_monoid.zero_smul (a : β) : 0 • a = 0 := rfl
attribute [to_additive add_monoid.zero_smul] pow_zero
theorem pow_succ (a : α) (n : ℕ) : a^(n+1) = a * a^n := rfl
theorem succ_smul (a : β) (n : ℕ) : (n+1)•a = a + n•a := rfl
attribute [to_additive succ_smul] pow_succ
@[simp] theorem pow_one (a : α) : a^1 = a := mul_one _
@[simp] theorem add_monoid.one_smul (a : β) : 1•a = a := add_zero _
attribute [to_additive add_monoid.one_smul] pow_one
theorem pow_mul_comm' (a : α) (n : ℕ) : a^n * a = a * a^n :=
by induction n with n ih; simp [*, pow_succ, mul_assoc]
theorem smul_add_comm' : ∀ (a : β) (n : ℕ), n•a + a = a + n•a :=
@pow_mul_comm' (multiplicative β) _
theorem pow_succ' (a : α) (n : ℕ) : a^(n+1) = a^n * a :=
by simp [pow_succ, pow_mul_comm']
theorem succ_smul' (a : β) (n : ℕ) : (n+1)•a = n•a + a :=
by simp [succ_smul, smul_add_comm']
attribute [to_additive succ_smul'] pow_succ'
theorem pow_two (a : α) : a^2 = a * a :=
by simp [pow_succ]
theorem two_smul (a : β) : 2•a = a + a :=
by simp [succ_smul]
attribute [to_additive two_smul] pow_two
theorem pow_add (a : α) (m n : ℕ) : a^(m + n) = a^m * a^n :=
by induction n; simp [*, pow_succ', nat.add_succ, mul_assoc]
theorem add_monoid.add_smul : ∀ (a : β) (m n : ℕ), (m + n)•a = m•a + n•a :=
@pow_add (multiplicative β) _
attribute [to_additive add_monoid.add_smul] pow_add
@[simp] theorem one_pow (n : ℕ) : (1 : α)^n = (1:α) :=
by induction n; simp [*, pow_succ]
@[simp] theorem add_monoid.smul_zero (n : ℕ) : n•(0 : β) = (0:β) :=
by induction n; simp [*, succ_smul]
attribute [to_additive add_monoid.smul_zero] one_pow
theorem pow_mul (a : α) (m : ℕ) : ∀ n, a^(m * n) = (a^m)^n
| 0 := by simp
| (n+1) := by rw [nat.mul_succ, pow_add, pow_succ', pow_mul]
theorem add_monoid.mul_smul' : ∀ (a : β) (m n : ℕ), m * n • a = n•(m•a) :=
@pow_mul (multiplicative β) _
attribute [to_additive add_monoid.mul_smul'] pow_mul
theorem pow_mul' (a : α) (m n : ℕ) : a^(m * n) = (a^n)^m :=
by rw [mul_comm, pow_mul]
theorem add_monoid.mul_smul (a : β) (m n : ℕ) : m * n • a = m•(n•a) :=
by rw [mul_comm, add_monoid.mul_smul']
attribute [to_additive add_monoid.mul_smul] pow_mul'
@[simp] theorem add_monoid.smul_one [has_one β] : ∀ n : ℕ, n • (1 : β) = n :=
nat.eq_cast _ (add_monoid.zero_smul _) (add_monoid.one_smul _) (add_monoid.add_smul _)
theorem pow_bit0 (a : α) (n : ℕ) : a ^ bit0 n = a^n * a^n := pow_add _ _ _
theorem bit0_smul (a : β) (n : ℕ) : bit0 n • a = n•a + n•a := add_monoid.add_smul _ _ _
attribute [to_additive bit0_smul] pow_bit0
theorem pow_bit1 (a : α) (n : ℕ) : a ^ bit1 n = a^n * a^n * a :=
by rw [bit1, pow_succ', pow_bit0]
theorem bit1_smul : ∀ (a : β) (n : ℕ), bit1 n • a = n•a + n•a + a :=
@pow_bit1 (multiplicative β) _
attribute [to_additive bit1_smul] pow_bit1
theorem pow_mul_comm (a : α) (m n : ℕ) : a^m * a^n = a^n * a^m :=
by rw [←pow_add, ←pow_add, add_comm]
theorem smul_add_comm : ∀ (a : β) (m n : ℕ), m•a + n•a = n•a + m•a :=
@pow_mul_comm (multiplicative β) _
attribute [to_additive smul_add_comm] pow_mul_comm
@[simp] theorem list.prod_repeat (a : α) : ∀ (n : ℕ), (list.repeat a n).prod = a ^ n
| 0 := rfl
| (n+1) := by simp [pow_succ, list.prod_repeat n]
@[simp] theorem list.sum_repeat : ∀ (a : β) (n : ℕ), (list.repeat a n).sum = n • a :=
@list.prod_repeat (multiplicative β) _
attribute [to_additive list.sum_repeat] list.prod_repeat
end monoid
@[simp] theorem nat.pow_eq_pow (p q : ℕ) :
@has_pow.pow _ _ monoid.has_pow p q = p ^ q :=
by induction q; [refl, simp [nat.pow_succ, pow_succ, mul_comm, *]]
@[simp] theorem nat.smul_eq_mul (m n : ℕ) : m • n = m * n :=
by rw mul_comm; induction m; simp [succ_smul', nat.mul_succ, *]
/- commutative monoid -/
section comm_monoid
variables [comm_monoid α] {β : Type*} [add_comm_monoid β]
theorem mul_pow (a b : α) : ∀ n:ℕ, (a * b)^n = a^n * b^n
| 0 := by simp
| (n+1) := by simp [pow_succ, mul_assoc, mul_left_comm]; rw mul_pow
theorem add_monoid.smul_add : ∀ (a b : β) (n : ℕ), n•(a + b) = n•a + n•b :=
@mul_pow (multiplicative β) _
attribute [to_additive add_monoid.add_smul] mul_pow
end comm_monoid
section group
variables [group α] {β : Type*} [add_group β]
section nat
@[simp] theorem inv_pow (a : α) : ∀n:ℕ, (a⁻¹)^n = (a^n)⁻¹
| 0 := by simp
| (n+1) := by rw [pow_succ', pow_succ, mul_inv_rev, inv_pow]
@[simp] theorem add_monoid.neg_smul : ∀ (a : β) (n : ℕ), n•(-a) = -(n•a) :=
@inv_pow (multiplicative β) _
attribute [to_additive add_monoid.neg_smul] inv_pow
theorem pow_sub (a : α) {m n : ℕ} (h : m ≥ n) : a^(m - n) = a^m * (a^n)⁻¹ :=
have h1 : m - n + n = m, from nat.sub_add_cancel h,
have h2 : a^(m - n) * a^n = a^m, by rw [←pow_add, h1],
eq_mul_inv_of_mul_eq h2
theorem add_monoid.smul_sub : ∀ (a : β) {m n : ℕ}, m ≥ n → (m - n)•a = m•a - n•a :=
@pow_sub (multiplicative β) _
attribute [to_additive add_monoid.smul_sub] inv_pow
theorem pow_inv_comm (a : α) (m n : ℕ) : (a⁻¹)^m * a^n = a^n * (a⁻¹)^m :=
by rw inv_pow; exact inv_comm_of_comm (pow_mul_comm _ _ _)
theorem add_monoid.smul_neg_comm : ∀ (a : β) (m n : ℕ), m•(-a) + n•a = n•a + m•(-a) :=
@pow_inv_comm (multiplicative β) _
attribute [to_additive add_monoid.smul_neg_comm] pow_inv_comm
end nat
open int
/--
The power operation in a group. This extends `monoid.pow` to negative integers
with the definition `a^(-n) = (a^n)⁻¹`.
-/
def gpow (a : α) : ℤ → α
| (of_nat n) := a^n
| -[1+n] := (a^(nat.succ n))⁻¹
def gsmul (n : ℤ) (a : β) : β :=
@gpow (multiplicative β) _ a n
@[priority 10] instance group.has_pow : has_pow α ℤ := ⟨gpow⟩
local infix ` • `:70 := gsmul
local infix ` •ℕ `:70 := add_monoid.smul
@[simp] theorem gpow_coe_nat (a : α) (n : ℕ) : a ^ (n:ℤ) = a ^ n := rfl
@[simp] theorem gsmul_coe_nat (a : β) (n : ℕ) : (n:ℤ) • a = n •ℕ a := rfl
attribute [to_additive gsmul_coe_nat] gpow_coe_nat
@[simp] theorem gpow_of_nat (a : α) (n : ℕ) : a ^ of_nat n = a ^ n := rfl
@[simp] theorem gsmul_of_nat (a : β) (n : ℕ) : of_nat n • a = n •ℕ a := rfl
attribute [to_additive gsmul_of_nat] gpow_of_nat
@[simp] theorem gpow_neg_succ (a : α) (n : ℕ) : a ^ -[1+n] = (a ^ n.succ)⁻¹ := rfl
@[simp] theorem gsmul_neg_succ (a : β) (n : ℕ) : -[1+n] • a = - (n.succ •ℕ a) := rfl
attribute [to_additive gsmul_neg_succ] gpow_neg_succ
local attribute [ematch] le_of_lt
open nat
@[simp] theorem gpow_zero (a : α) : a ^ (0:ℤ) = 1 := rfl
@[simp] theorem zero_gsmul (a : β) : (0:ℤ) • a = 0 := rfl
attribute [to_additive zero_gsmul] gpow_zero
@[simp] theorem gpow_one (a : α) : a ^ (1:ℤ) = a := mul_one _
@[simp] theorem one_gsmul (a : β) : (1:ℤ) • a = a := add_zero _
attribute [to_additive one_gsmul] gpow_one
@[simp] theorem one_gpow : ∀ (n : ℤ), (1 : α) ^ n = 1
| (n : ℕ) := one_pow _
| -[1+ n] := by simp
@[simp] theorem gsmul_zero : ∀ (n : ℤ), n • (0 : β) = 0 :=
@one_gpow (multiplicative β) _
attribute [to_additive gsmul_zero] one_gpow
@[simp] theorem gpow_neg (a : α) : ∀ (n : ℤ), a ^ -n = (a ^ n)⁻¹
| (n+1:ℕ) := rfl
| 0 := one_inv.symm
| -[1+ n] := (inv_inv _).symm
@[simp] theorem neg_gsmul : ∀ (a : β) (n : ℤ), -n • a = -(n • a) :=
@gpow_neg (multiplicative β) _
attribute [to_additive neg_gsmul] gpow_neg
theorem gpow_neg_one (x : α) : x ^ (-1:ℤ) = x⁻¹ := by simp
theorem neg_one_gsmul (x : β) : (-1:ℤ) • x = -x := by simp
attribute [to_additive neg_one_gsmul] gpow_neg_one
@[to_additive neg_gsmul]
theorem inv_gpow (a : α) : ∀n:ℤ, a⁻¹ ^ n = (a ^ n)⁻¹
| (n : ℕ) := inv_pow a n
| -[1+ n] := by simp [inv_pow]
private lemma gpow_add_aux (a : α) (m n : nat) :
a ^ ((of_nat m) + -[1+n]) = a ^ of_nat m * a ^ -[1+n] :=
or.elim (nat.lt_or_ge m (nat.succ n))
(assume : m < succ n,
have m ≤ n, from le_of_lt_succ this,
suffices a ^ -[1+ n-m] = a ^ of_nat m * a ^ -[1+n], by simp [*, of_nat_add_neg_succ_of_nat_of_lt],
suffices (a ^ nat.succ (n - m))⁻¹ = a ^ of_nat m * a ^ -[1+n], from this,
suffices (a ^ (nat.succ n - m))⁻¹ = a ^ of_nat m * a ^ -[1+n], by rw ←succ_sub; assumption,
by rw pow_sub; finish [gpow])
(assume : m ≥ succ n,
suffices a ^ (of_nat (m - succ n)) = (a ^ (of_nat m)) * (a ^ -[1+ n]),
by rw [of_nat_add_neg_succ_of_nat_of_ge]; assumption,
suffices a ^ (m - succ n) = a ^ m * (a ^ n.succ)⁻¹, from this,
by rw pow_sub; assumption)
theorem gpow_add (a : α) : ∀ (i j : ℤ), a ^ (i + j) = a ^ i * a ^ j
| (of_nat m) (of_nat n) := pow_add _ _ _
| (of_nat m) -[1+n] := gpow_add_aux _ _ _
| -[1+m] (of_nat n) := by rw [add_comm, gpow_add_aux,
gpow_neg_succ, gpow_of_nat, ← inv_pow, ← pow_inv_comm]
| -[1+m] -[1+n] :=
suffices (a ^ (m + succ (succ n)))⁻¹ = (a ^ m.succ)⁻¹ * (a ^ n.succ)⁻¹, from this,
by rw [← succ_add_eq_succ_add, add_comm, _root_.pow_add, mul_inv_rev]
theorem add_gsmul : ∀ (a : β) (i j : ℤ), (i + j) • a = i • a + j • a :=
@gpow_add (multiplicative β) _
theorem gpow_mul_comm (a : α) (i j : ℤ) : a ^ i * a ^ j = a ^ j * a ^ i :=
by rw [← gpow_add, ← gpow_add, add_comm]
theorem gsmul_add_comm : ∀ (a : β) (i j), i • a + j • a = j • a + i • a :=
@gpow_mul_comm (multiplicative β) _
attribute [to_additive gsmul_add_comm] gpow_mul_comm
theorem gpow_mul (a : α) : ∀ m n : ℤ, a ^ (m * n) = (a ^ m) ^ n
| (m : ℕ) (n : ℕ) := pow_mul _ _ _
| (m : ℕ) -[1+ n] := (gpow_neg _ (m * succ n)).trans $
show (a ^ (m * succ n))⁻¹ = _, by rw pow_mul; refl
| -[1+ m] (n : ℕ) := (gpow_neg _ (succ m * n)).trans $
show (a ^ (m.succ * n))⁻¹ = _, by simp [pow_mul]
| -[1+ m] -[1+ n] := (pow_mul a (succ m) (succ n)).trans $ by simp
theorem gsmul_mul' : ∀ (a : β) (m n : ℤ), m * n • a = n • (m • a) :=
@gpow_mul (multiplicative β) _
attribute [to_additive gsmul_mul'] gpow_mul
theorem gpow_mul' (a : α) (m n : ℤ) : a ^ (m * n) = (a ^ n) ^ m :=
by rw [mul_comm, gpow_mul]
theorem gsmul_mul (a : β) (m n : ℤ) : m * n • a = m • (n • a) :=
by rw [mul_comm, gsmul_mul']
attribute [to_additive gsmul_mul] gpow_mul'
theorem gpow_bit0 (a : α) (n : ℤ) : a ^ bit0 n = a ^ n * a ^ n := gpow_add _ _ _
theorem bit0_gsmul (a : β) (n : ℤ) : bit0 n • a = n • a + n • a := gpow_add _ _ _
attribute [to_additive bit0_gsmul] gpow_bit0
theorem gpow_bit1 (a : α) (n : ℤ) : a ^ bit1 n = a ^ n * a ^ n * a :=
by rw [bit1, gpow_add]; simp [gpow_bit0]
theorem bit1_gsmul : ∀ (a : β) (n : ℤ), bit1 n • a = n • a + n • a + a :=
@gpow_bit1 (multiplicative β) _
attribute [to_additive bit1_gsmul] gpow_bit1
end group
namespace is_group_hom
variables {β : Type v} [group α] [group β] (f : α → β) [is_group_hom f]
theorem pow (a : α) (n : ℕ) : f (a ^ n) = f a ^ n :=
by induction n; simp [*, pow_succ, is_group_hom.mul f, is_group_hom.one f]
theorem gpow (a : α) (n : ℤ) : f (a ^ n) = f a ^ n :=
by cases n; simp [is_group_hom.pow f, is_group_hom.inv f]
end is_group_hom
local infix ` •ℤ `:70 := gsmul
section comm_monoid
variables [comm_group α] {β : Type*} [add_comm_group β]
theorem mul_gpow (a b : α) : ∀ n:ℤ, (a * b)^n = a^n * b^n
| (n : ℕ) := mul_pow a b n
| -[1+ n] := by simp [pow_succ, mul_pow, mul_inv, mul_comm, mul_left_comm]
theorem gsmul_add : ∀ (a b : β) (n : ℤ), n •ℤ (a + b) = n •ℤ a + n •ℤ b :=
@mul_gpow (multiplicative β) _
attribute [to_additive gsmul_add] mul_gpow
end comm_monoid
theorem add_monoid.smul_eq_mul' [semiring α] (a : α) : ∀ n : ℕ, n • a = a * n
| 0 := by simp
| (n+1) := by simp [add_monoid.smul_eq_mul' n, mul_add, succ_smul']
theorem add_monoid.smul_eq_mul [semiring α] (n : ℕ) (a : α) : n • a = n * a :=
by rw [add_monoid.smul_eq_mul', nat.mul_cast_comm]
theorem add_monoid.mul_smul_left [semiring α] (a b : α) (n : ℕ) : n • (a * b) = a * (n • b) :=
by rw [add_monoid.smul_eq_mul', add_monoid.smul_eq_mul', mul_assoc]
theorem add_monoid.mul_smul_assoc [semiring α] (a b : α) (n : ℕ) : n • (a * b) = n • a * b :=
by rw [add_monoid.smul_eq_mul, add_monoid.smul_eq_mul, mul_assoc]
lemma zero_pow [semiring α] : ∀ {n : ℕ}, 0 < n → (0 : α) ^ n = 0
| (n+1) _ := zero_mul _
@[simp] theorem nat.cast_pow [semiring α] (n m : ℕ) : (↑(n ^ m) : α) = ↑n ^ m :=
by induction m; simp [*, nat.succ_eq_add_one, nat.pow_add, pow_add]
@[simp] theorem int.coe_nat_pow (n m : ℕ) : ((n ^ m : ℕ) : ℤ) = n ^ m :=
by induction m; simp [*, pow_succ', nat.pow_succ]
theorem is_semiring_hom.map_pow {β} [semiring α] [semiring β]
(f : α → β) [is_semiring_hom f] (x : α) (n : ℕ) : f (x ^ n) = f x ^ n :=
by induction n; simp [*, is_semiring_hom.map_one f, is_semiring_hom.map_mul f, pow_succ]
theorem neg_one_pow_eq_or {R} [ring R] : ∀ n : ℕ, (-1 : R)^n = 1 ∨ (-1 : R)^n = -1
| 0 := by simp
| (n+1) := by cases neg_one_pow_eq_or n; simp [pow_succ, h]
theorem gsmul_eq_mul [ring α] (a : α) : ∀ n, n •ℤ a = n * a
| (n : ℕ) := by simp [add_monoid.smul_eq_mul]
| -[1+ n] := by simp [add_monoid.smul_eq_mul, -add_comm, add_mul]
theorem gsmul_eq_mul' [ring α] (a : α) (n : ℤ) : n •ℤ a = a * n :=
by rw [gsmul_eq_mul, int.mul_cast_comm]
theorem mul_gsmul_left [ring α] (a b : α) (n : ℤ) : n •ℤ (a * b) = a * (n •ℤ b) :=
by rw [gsmul_eq_mul', gsmul_eq_mul', mul_assoc]
theorem mul_gsmul_assoc [ring α] (a b : α) (n : ℤ) : n •ℤ (a * b) = n •ℤ a * b :=
by rw [gsmul_eq_mul, gsmul_eq_mul, mul_assoc]
@[simp] theorem int.cast_pow [ring α] (n : ℤ) (m : ℕ) : (↑(n ^ m) : α) = ↑n ^ m :=
by induction m; simp [*, nat.succ_eq_add_one,pow_add]
theorem pow_ne_zero [domain α] {a : α} (n : ℕ) (h : a ≠ 0) : a ^ n ≠ 0 :=
by induction n with n ih; simp [pow_succ, mul_eq_zero, *]
@[simp] theorem one_div_pow [division_ring α] {a : α} (ha : a ≠ 0) : ∀ n : ℕ, (1 / a) ^ n = 1 / a ^ n
| 0 := by simp
| (n+1) := by rw [pow_succ', pow_succ,
← division_ring.one_div_mul_one_div (pow_ne_zero n ha) ha, one_div_pow]
@[simp] theorem division_ring.inv_pow [division_ring α] {a : α} (ha : a ≠ 0) (n : ℕ) : a⁻¹ ^ n = (a ^ n)⁻¹ :=
by simp [inv_eq_one_div, -one_div_eq_inv, ha]
@[simp] theorem div_pow [field α] (a : α) {b : α} (hb : b ≠ 0) (n : ℕ) : (a / b) ^ n = a ^ n / b ^ n :=
by rw [div_eq_mul_one_div, mul_pow, one_div_pow hb, ← div_eq_mul_one_div]
theorem add_monoid.smul_nonneg [ordered_comm_monoid α] {a : α} (H : 0 ≤ a) : ∀ n : ℕ, 0 ≤ n • a
| 0 := le_refl _
| (n+1) := add_nonneg' H (add_monoid.smul_nonneg n)
lemma pow_abs [decidable_linear_ordered_comm_ring α] (a : α) (n : ℕ) : (abs a)^n = abs (a^n) :=
by induction n; simp [*, pow_succ, abs_mul]
lemma pow_inv [division_ring α] (a : α) : ∀ n : ℕ, a ≠ 0 → (a^n)⁻¹ = (a⁻¹)^n
| 0 ha := by simp [pow_zero]
| (n+1) ha := by rw [pow_succ, pow_succ', mul_inv_eq (pow_ne_zero _ ha) ha, pow_inv _ ha]
section linear_ordered_semiring
variable [linear_ordered_semiring α]
theorem pow_pos {a : α} (H : 0 < a) : ∀ (n : ℕ), 0 < a ^ n
| 0 := by simp [zero_lt_one]
| (n+1) := by simpa [pow_succ] using mul_pos H (pow_pos _)
theorem pow_nonneg {a : α} (H : 0 ≤ a) : ∀ (n : ℕ), 0 ≤ a ^ n
| 0 := by simp [zero_le_one]
| (n+1) := by simpa [pow_succ] using mul_nonneg H (pow_nonneg _)
theorem one_le_pow_of_one_le {a : α} (H : 1 ≤ a) : ∀ (n : ℕ), 1 ≤ a ^ n
| 0 := by simp; apply le_refl
| (n+1) :=
begin
simp [pow_succ], rw ← one_mul (1 : α),
apply mul_le_mul,
assumption,
apply one_le_pow_of_one_le,
apply zero_le_one,
transitivity, apply zero_le_one, assumption
end
theorem pow_ge_one_add_mul {a : α} (H : a ≥ 0) :
∀ (n : ℕ), 1 + n • a ≤ (1 + a) ^ n
| 0 := by simp
| (n+1) := begin
rw [pow_succ', succ_smul'],
refine le_trans _ (mul_le_mul_of_nonneg_right
(pow_ge_one_add_mul n) (add_nonneg zero_le_one H)),
rw [mul_add, mul_one, ← add_assoc, add_le_add_iff_left],
simpa using mul_le_mul_of_nonneg_right
((le_add_iff_nonneg_right 1).2 (add_monoid.smul_nonneg H n)) H
end
theorem pow_le_pow {a : α} {n m : ℕ} (ha : 1 ≤ a) (h : n ≤ m) : a ^ n ≤ a ^ m :=
let ⟨k, hk⟩ := nat.le.dest h in
calc a ^ n = a ^ n * 1 : by simp
... ≤ a ^ n * a ^ k : mul_le_mul_of_nonneg_left
(one_le_pow_of_one_le ha _)
(pow_nonneg (le_trans zero_le_one ha) _)
... = a ^ m : by rw [←hk, pow_add]
end linear_ordered_semiring
theorem pow_two_nonneg [linear_ordered_ring α] (a : α) : 0 ≤ a ^ 2 :=
by rw pow_two; exact mul_self_nonneg _
theorem pow_ge_one_add_sub_mul [linear_ordered_ring α]
{a : α} (H : a ≥ 1) (n : ℕ) : 1 + n • (a - 1) ≤ a ^ n :=
by simpa using pow_ge_one_add_mul (sub_nonneg.2 H) n
namespace int
lemma units_pow_two (u : units ℤ) : u ^ 2 = 1 :=
(units_eq_one_or u).elim (λ h, h.symm ▸ rfl) (λ h, h.symm ▸ rfl)
lemma units_pow_eq_pow_mod_two (u : units ℤ) (n : ℕ) : u ^ n = u ^ (n % 2) :=
by conv {to_lhs, rw ← nat.mod_add_div n 2}; simp [pow_add, pow_mul, units_pow_two]
end int |
1371c54f07e07b5e9222cdf6bd79f8b5a1f68965 | 491068d2ad28831e7dade8d6dff871c3e49d9431 | /library/algebra/group.lean | df872ecab21155be275533c110ef83c844a58924 | [
"Apache-2.0"
] | permissive | davidmueller13/lean | 65a3ed141b4088cd0a268e4de80eb6778b21a0e9 | c626e2e3c6f3771e07c32e82ee5b9e030de5b050 | refs/heads/master | 1,611,278,313,401 | 1,444,021,177,000 | 1,444,021,177,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 21,314 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
Various multiplicative and additive structures. Partially modeled on Isabelle's library.
-/
import logic.eq data.unit data.sigma data.prod
import algebra.binary algebra.priority
open eq eq.ops -- note: ⁻¹ will be overloaded
open binary
namespace algebra
variable {A : Type}
/- overloaded symbols -/
structure has_mul [class] (A : Type) :=
(mul : A → A → A)
structure has_add [class] (A : Type) :=
(add : A → A → A)
structure has_one [class] (A : Type) :=
(one : A)
structure has_zero [class] (A : Type) :=
(zero : A)
structure has_inv [class] (A : Type) :=
(inv : A → A)
structure has_neg [class] (A : Type) :=
(neg : A → A)
infixl [priority algebra.prio] ` * ` := has_mul.mul
infixl [priority algebra.prio] ` + ` := has_add.add
postfix [priority algebra.prio] `⁻¹` := has_inv.inv
prefix [priority algebra.prio] `-` := has_neg.neg
notation 1 := !has_one.one
notation 0 := !has_zero.zero
/- semigroup -/
structure semigroup [class] (A : Type) extends has_mul A :=
(mul_assoc : ∀a b c, mul (mul a b) c = mul a (mul b c))
theorem mul.assoc [s : semigroup A] (a b c : A) : a * b * c = a * (b * c) :=
!semigroup.mul_assoc
structure comm_semigroup [class] (A : Type) extends semigroup A :=
(mul_comm : ∀a b, mul a b = mul b a)
theorem mul.comm [s : comm_semigroup A] (a b : A) : a * b = b * a :=
!comm_semigroup.mul_comm
theorem mul.left_comm [s : comm_semigroup A] (a b c : A) : a * (b * c) = b * (a * c) :=
binary.left_comm (@mul.comm A s) (@mul.assoc A s) a b c
theorem mul.right_comm [s : comm_semigroup A] (a b c : A) : (a * b) * c = (a * c) * b :=
binary.right_comm (@mul.comm A s) (@mul.assoc A s) a b c
structure left_cancel_semigroup [class] (A : Type) extends semigroup A :=
(mul_left_cancel : ∀a b c, mul a b = mul a c → b = c)
theorem mul.left_cancel [s : left_cancel_semigroup A] {a b c : A} :
a * b = a * c → b = c :=
!left_cancel_semigroup.mul_left_cancel
abbreviation eq_of_mul_eq_mul_left' := @mul.left_cancel
structure right_cancel_semigroup [class] (A : Type) extends semigroup A :=
(mul_right_cancel : ∀a b c, mul a b = mul c b → a = c)
theorem mul.right_cancel [s : right_cancel_semigroup A] {a b c : A} :
a * b = c * b → a = c :=
!right_cancel_semigroup.mul_right_cancel
abbreviation eq_of_mul_eq_mul_right' := @mul.right_cancel
/- additive semigroup -/
structure add_semigroup [class] (A : Type) extends has_add A :=
(add_assoc : ∀a b c, add (add a b) c = add a (add b c))
theorem add.assoc [s : add_semigroup A] (a b c : A) : a + b + c = a + (b + c) :=
!add_semigroup.add_assoc
structure add_comm_semigroup [class] (A : Type) extends add_semigroup A :=
(add_comm : ∀a b, add a b = add b a)
theorem add.comm [s : add_comm_semigroup A] (a b : A) : a + b = b + a :=
!add_comm_semigroup.add_comm
theorem add.left_comm [s : add_comm_semigroup A] (a b c : A) :
a + (b + c) = b + (a + c) :=
binary.left_comm (@add.comm A s) (@add.assoc A s) a b c
theorem add.right_comm [s : add_comm_semigroup A] (a b c : A) : (a + b) + c = (a + c) + b :=
binary.right_comm (@add.comm A s) (@add.assoc A s) a b c
structure add_left_cancel_semigroup [class] (A : Type) extends add_semigroup A :=
(add_left_cancel : ∀a b c, add a b = add a c → b = c)
theorem add.left_cancel [s : add_left_cancel_semigroup A] {a b c : A} :
a + b = a + c → b = c :=
!add_left_cancel_semigroup.add_left_cancel
abbreviation eq_of_add_eq_add_left := @add.left_cancel
structure add_right_cancel_semigroup [class] (A : Type) extends add_semigroup A :=
(add_right_cancel : ∀a b c, add a b = add c b → a = c)
theorem add.right_cancel [s : add_right_cancel_semigroup A] {a b c : A} :
a + b = c + b → a = c :=
!add_right_cancel_semigroup.add_right_cancel
abbreviation eq_of_add_eq_add_right := @add.right_cancel
/- monoid -/
structure monoid [class] (A : Type) extends semigroup A, has_one A :=
(one_mul : ∀a, mul one a = a) (mul_one : ∀a, mul a one = a)
theorem one_mul [s : monoid A] (a : A) : 1 * a = a := !monoid.one_mul
theorem mul_one [s : monoid A] (a : A) : a * 1 = a := !monoid.mul_one
structure comm_monoid [class] (A : Type) extends monoid A, comm_semigroup A
/- additive monoid -/
structure add_monoid [class] (A : Type) extends add_semigroup A, has_zero A :=
(zero_add : ∀a, add zero a = a) (add_zero : ∀a, add a zero = a)
theorem zero_add [s : add_monoid A] (a : A) : 0 + a = a := !add_monoid.zero_add
theorem add_zero [s : add_monoid A] (a : A) : a + 0 = a := !add_monoid.add_zero
structure add_comm_monoid [class] (A : Type) extends add_monoid A, add_comm_semigroup A
definition add_monoid.to_monoid {A : Type} [s : add_monoid A] : monoid A :=
⦃ monoid,
mul := add_monoid.add,
mul_assoc := add_monoid.add_assoc,
one := add_monoid.zero A,
mul_one := add_monoid.add_zero,
one_mul := add_monoid.zero_add
⦄
definition add_comm_monoid.to_comm_monoid {A : Type} [s : add_comm_monoid A] : comm_monoid A :=
⦃ comm_monoid,
add_monoid.to_monoid,
mul_comm := add_comm_monoid.add_comm
⦄
section add_comm_monoid
theorem add_comm_three {A : Type} [s : add_comm_monoid A] (a b c : A) : a + b + c = c + b + a :=
by rewrite [{a + _}add.comm, {_ + c}add.comm, -*add.assoc]
end add_comm_monoid
/- group -/
structure group [class] (A : Type) extends monoid A, has_inv A :=
(mul_left_inv : ∀a, mul (inv a) a = one)
-- Note: with more work, we could derive the axiom one_mul
section group
variable [s : group A]
include s
theorem mul.left_inv (a : A) : a⁻¹ * a = 1 := !group.mul_left_inv
theorem inv_mul_cancel_left (a b : A) : a⁻¹ * (a * b) = b :=
by rewrite [-mul.assoc, mul.left_inv, one_mul]
theorem inv_mul_cancel_right (a b : A) : a * b⁻¹ * b = a :=
by rewrite [mul.assoc, mul.left_inv, mul_one]
theorem inv_eq_of_mul_eq_one {a b : A} (H : a * b = 1) : a⁻¹ = b :=
by rewrite [-mul_one a⁻¹, -H, inv_mul_cancel_left]
theorem one_inv : 1⁻¹ = (1 : A) := inv_eq_of_mul_eq_one (one_mul 1)
theorem inv_inv (a : A) : (a⁻¹)⁻¹ = a := inv_eq_of_mul_eq_one (mul.left_inv a)
theorem inv.inj {a b : A} (H : a⁻¹ = b⁻¹) : a = b :=
by rewrite [-inv_inv, H, inv_inv]
theorem inv_eq_inv_iff_eq (a b : A) : a⁻¹ = b⁻¹ ↔ a = b :=
iff.intro (assume H, inv.inj H) (assume H, congr_arg _ H)
theorem inv_eq_one_iff_eq_one (a : A) : a⁻¹ = 1 ↔ a = 1 :=
one_inv ▸ inv_eq_inv_iff_eq a 1
theorem eq_one_of_inv_eq_one (a : A) : a⁻¹ = 1 → a = 1 :=
iff.mp !inv_eq_one_iff_eq_one
theorem eq_inv_of_eq_inv {a b : A} (H : a = b⁻¹) : b = a⁻¹ :=
by rewrite [H, inv_inv]
theorem eq_inv_iff_eq_inv (a b : A) : a = b⁻¹ ↔ b = a⁻¹ :=
iff.intro !eq_inv_of_eq_inv !eq_inv_of_eq_inv
theorem eq_inv_of_mul_eq_one {a b : A} (H : a * b = 1) : a = b⁻¹ :=
begin rewrite [eq_inv_iff_eq_inv], apply eq.symm, exact inv_eq_of_mul_eq_one H end
theorem mul.right_inv (a : A) : a * a⁻¹ = 1 :=
calc
a * a⁻¹ = (a⁻¹)⁻¹ * a⁻¹ : inv_inv
... = 1 : mul.left_inv
theorem mul_inv_cancel_left (a b : A) : a * (a⁻¹ * b) = b :=
calc
a * (a⁻¹ * b) = a * a⁻¹ * b : by rewrite mul.assoc
... = 1 * b : mul.right_inv
... = b : one_mul
theorem mul_inv_cancel_right (a b : A) : a * b * b⁻¹ = a :=
calc
a * b * b⁻¹ = a * (b * b⁻¹) : mul.assoc
... = a * 1 : mul.right_inv
... = a : mul_one
theorem mul_inv (a b : A) : (a * b)⁻¹ = b⁻¹ * a⁻¹ :=
inv_eq_of_mul_eq_one
(calc
a * b * (b⁻¹ * a⁻¹) = a * (b * (b⁻¹ * a⁻¹)) : mul.assoc
... = a * a⁻¹ : mul_inv_cancel_left
... = 1 : mul.right_inv)
theorem eq_of_mul_inv_eq_one {a b : A} (H : a * b⁻¹ = 1) : a = b :=
calc
a = a * b⁻¹ * b : by rewrite inv_mul_cancel_right
... = 1 * b : H
... = b : one_mul
theorem eq_mul_inv_of_mul_eq {a b c : A} (H : a * c = b) : a = b * c⁻¹ :=
by rewrite [-H, mul_inv_cancel_right]
theorem eq_inv_mul_of_mul_eq {a b c : A} (H : b * a = c) : a = b⁻¹ * c :=
by rewrite [-H, inv_mul_cancel_left]
theorem inv_mul_eq_of_eq_mul {a b c : A} (H : b = a * c) : a⁻¹ * b = c :=
by rewrite [H, inv_mul_cancel_left]
theorem mul_inv_eq_of_eq_mul {a b c : A} (H : a = c * b) : a * b⁻¹ = c :=
by rewrite [H, mul_inv_cancel_right]
theorem eq_mul_of_mul_inv_eq {a b c : A} (H : a * c⁻¹ = b) : a = b * c :=
!inv_inv ▸ (eq_mul_inv_of_mul_eq H)
theorem eq_mul_of_inv_mul_eq {a b c : A} (H : b⁻¹ * a = c) : a = b * c :=
!inv_inv ▸ (eq_inv_mul_of_mul_eq H)
theorem mul_eq_of_eq_inv_mul {a b c : A} (H : b = a⁻¹ * c) : a * b = c :=
!inv_inv ▸ (inv_mul_eq_of_eq_mul H)
theorem mul_eq_of_eq_mul_inv {a b c : A} (H : a = c * b⁻¹) : a * b = c :=
!inv_inv ▸ (mul_inv_eq_of_eq_mul H)
theorem mul_eq_iff_eq_inv_mul (a b c : A) : a * b = c ↔ b = a⁻¹ * c :=
iff.intro eq_inv_mul_of_mul_eq mul_eq_of_eq_inv_mul
theorem mul_eq_iff_eq_mul_inv (a b c : A) : a * b = c ↔ a = c * b⁻¹ :=
iff.intro eq_mul_inv_of_mul_eq mul_eq_of_eq_mul_inv
theorem mul_left_cancel {a b c : A} (H : a * b = a * c) : b = c :=
by rewrite [-inv_mul_cancel_left a b, H, inv_mul_cancel_left]
theorem mul_right_cancel {a b c : A} (H : a * b = c * b) : a = c :=
by rewrite [-mul_inv_cancel_right a b, H, mul_inv_cancel_right]
theorem mul_eq_one_of_mul_eq_one {a b : A} (H : b * a = 1) : a * b = 1 :=
by rewrite [-inv_eq_of_mul_eq_one H, mul.left_inv]
theorem mul_eq_one_iff_mul_eq_one (a b : A) : a * b = 1 ↔ b * a = 1 :=
iff.intro !mul_eq_one_of_mul_eq_one !mul_eq_one_of_mul_eq_one
definition conj_by (g a : A) := g * a * g⁻¹
definition is_conjugate (a b : A) := ∃ x, conj_by x b = a
local infixl ` ~ ` := is_conjugate
local infixr ` ∘c `:55 := conj_by
lemma conj_compose (f g a : A) : f ∘c g ∘c a = f*g ∘c a :=
calc f ∘c g ∘c a = f * (g * a * g⁻¹) * f⁻¹ : rfl
... = f * (g * a) * g⁻¹ * f⁻¹ : mul.assoc
... = f * g * a * g⁻¹ * f⁻¹ : mul.assoc
... = f * g * a * (g⁻¹ * f⁻¹) : mul.assoc
... = f * g * a * (f * g)⁻¹ : mul_inv
lemma conj_id (a : A) : 1 ∘c a = a :=
calc 1 * a * 1⁻¹ = a * 1⁻¹ : one_mul
... = a * 1 : one_inv
... = a : mul_one
lemma conj_one (g : A) : g ∘c 1 = 1 :=
calc g * 1 * g⁻¹ = g * g⁻¹ : mul_one
... = 1 : mul.right_inv
lemma conj_inv_cancel (g : A) : ∀ a, g⁻¹ ∘c g ∘c a = a :=
assume a, calc
g⁻¹ ∘c g ∘c a = g⁻¹*g ∘c a : conj_compose
... = 1 ∘c a : mul.left_inv
... = a : conj_id
lemma conj_inv (g : A) : ∀ a, (g ∘c a)⁻¹ = g ∘c a⁻¹ :=
take a, calc
(g * a * g⁻¹)⁻¹ = g⁻¹⁻¹ * (g * a)⁻¹ : mul_inv
... = g⁻¹⁻¹ * (a⁻¹ * g⁻¹) : mul_inv
... = g⁻¹⁻¹ * a⁻¹ * g⁻¹ : mul.assoc
... = g * a⁻¹ * g⁻¹ : inv_inv
lemma is_conj.refl (a : A) : a ~ a := exists.intro 1 (conj_id a)
lemma is_conj.symm (a b : A) : a ~ b → b ~ a :=
assume Pab, obtain x (Pconj : x ∘c b = a), from Pab,
assert Pxinv : x⁻¹ ∘c x ∘c b = x⁻¹ ∘c a, from (congr_arg2 conj_by (eq.refl x⁻¹) Pconj),
exists.intro x⁻¹ (eq.symm (conj_inv_cancel x b ▸ Pxinv))
lemma is_conj.trans (a b c : A) : a ~ b → b ~ c → a ~ c :=
assume Pab, assume Pbc,
obtain x (Px : x ∘c b = a), from Pab,
obtain y (Py : y ∘c c = b), from Pbc,
exists.intro (x*y) (calc
x*y ∘c c = x ∘c y ∘c c : conj_compose
... = x ∘c b : Py
... = a : Px)
definition group.to_left_cancel_semigroup [trans-instance] [coercion] [reducible] :
left_cancel_semigroup A :=
⦃ left_cancel_semigroup, s,
mul_left_cancel := @mul_left_cancel A s ⦄
definition group.to_right_cancel_semigroup [trans-instance] [coercion] [reducible] :
right_cancel_semigroup A :=
⦃ right_cancel_semigroup, s,
mul_right_cancel := @mul_right_cancel A s ⦄
end group
structure comm_group [class] (A : Type) extends group A, comm_monoid A
/- additive group -/
structure add_group [class] (A : Type) extends add_monoid A, has_neg A :=
(add_left_inv : ∀a, add (neg a) a = zero)
definition add_group.to_group {A : Type} [s : add_group A] : group A :=
⦃ group, add_monoid.to_monoid,
mul_left_inv := add_group.add_left_inv ⦄
section add_group
variables [s : add_group A]
include s
theorem add.left_inv (a : A) : -a + a = 0 := !add_group.add_left_inv
theorem neg_add_cancel_left (a b : A) : -a + (a + b) = b :=
by rewrite [-add.assoc, add.left_inv, zero_add]
theorem neg_add_cancel_right (a b : A) : a + -b + b = a :=
by rewrite [add.assoc, add.left_inv, add_zero]
theorem neg_eq_of_add_eq_zero {a b : A} (H : a + b = 0) : -a = b :=
by rewrite [-add_zero, -H, neg_add_cancel_left]
theorem neg_zero : -0 = (0 : A) := neg_eq_of_add_eq_zero (zero_add 0)
theorem neg_neg (a : A) : -(-a) = a := neg_eq_of_add_eq_zero (add.left_inv a)
theorem eq_neg_of_add_eq_zero {a b : A} (H : a + b = 0) : a = -b :=
by rewrite [-neg_eq_of_add_eq_zero H, neg_neg]
theorem neg.inj {a b : A} (H : -a = -b) : a = b :=
calc
a = -(-a) : neg_neg
... = b : neg_eq_of_add_eq_zero (H⁻¹ ▸ (add.left_inv _))
theorem neg_eq_neg_iff_eq (a b : A) : -a = -b ↔ a = b :=
iff.intro (assume H, neg.inj H) (assume H, congr_arg _ H)
theorem eq_of_neg_eq_neg {a b : A} : -a = -b → a = b :=
iff.mp !neg_eq_neg_iff_eq
theorem neg_eq_zero_iff_eq_zero (a : A) : -a = 0 ↔ a = 0 :=
neg_zero ▸ !neg_eq_neg_iff_eq
theorem eq_zero_of_neg_eq_zero {a : A} : -a = 0 → a = 0 :=
iff.mp !neg_eq_zero_iff_eq_zero
theorem eq_neg_of_eq_neg {a b : A} (H : a = -b) : b = -a :=
H⁻¹ ▸ (neg_neg b)⁻¹
theorem eq_neg_iff_eq_neg (a b : A) : a = -b ↔ b = -a :=
iff.intro !eq_neg_of_eq_neg !eq_neg_of_eq_neg
theorem add.right_inv (a : A) : a + -a = 0 :=
calc
a + -a = -(-a) + -a : neg_neg
... = 0 : add.left_inv
theorem add_neg_cancel_left (a b : A) : a + (-a + b) = b :=
by rewrite [-add.assoc, add.right_inv, zero_add]
theorem add_neg_cancel_right (a b : A) : a + b + -b = a :=
by rewrite [add.assoc, add.right_inv, add_zero]
theorem neg_add_rev (a b : A) : -(a + b) = -b + -a :=
neg_eq_of_add_eq_zero
begin
rewrite [add.assoc, add_neg_cancel_left, add.right_inv]
end
-- TODO: delete these in favor of sub rules?
theorem eq_add_neg_of_add_eq {a b c : A} (H : a + c = b) : a = b + -c :=
H ▸ !add_neg_cancel_right⁻¹
theorem eq_neg_add_of_add_eq {a b c : A} (H : b + a = c) : a = -b + c :=
H ▸ !neg_add_cancel_left⁻¹
theorem neg_add_eq_of_eq_add {a b c : A} (H : b = a + c) : -a + b = c :=
H⁻¹ ▸ !neg_add_cancel_left
theorem add_neg_eq_of_eq_add {a b c : A} (H : a = c + b) : a + -b = c :=
H⁻¹ ▸ !add_neg_cancel_right
theorem eq_add_of_add_neg_eq {a b c : A} (H : a + -c = b) : a = b + c :=
!neg_neg ▸ (eq_add_neg_of_add_eq H)
theorem eq_add_of_neg_add_eq {a b c : A} (H : -b + a = c) : a = b + c :=
!neg_neg ▸ (eq_neg_add_of_add_eq H)
theorem add_eq_of_eq_neg_add {a b c : A} (H : b = -a + c) : a + b = c :=
!neg_neg ▸ (neg_add_eq_of_eq_add H)
theorem add_eq_of_eq_add_neg {a b c : A} (H : a = c + -b) : a + b = c :=
!neg_neg ▸ (add_neg_eq_of_eq_add H)
theorem add_eq_iff_eq_neg_add (a b c : A) : a + b = c ↔ b = -a + c :=
iff.intro eq_neg_add_of_add_eq add_eq_of_eq_neg_add
theorem add_eq_iff_eq_add_neg (a b c : A) : a + b = c ↔ a = c + -b :=
iff.intro eq_add_neg_of_add_eq add_eq_of_eq_add_neg
theorem add_left_cancel {a b c : A} (H : a + b = a + c) : b = c :=
calc b = -a + (a + b) : !neg_add_cancel_left⁻¹
... = -a + (a + c) : H
... = c : neg_add_cancel_left
theorem add_right_cancel {a b c : A} (H : a + b = c + b) : a = c :=
calc a = (a + b) + -b : !add_neg_cancel_right⁻¹
... = (c + b) + -b : H
... = c : add_neg_cancel_right
definition add_group.to_left_cancel_semigroup [trans-instance] [coercion] [reducible] :
add_left_cancel_semigroup A :=
⦃ add_left_cancel_semigroup, s,
add_left_cancel := @add_left_cancel A s ⦄
definition add_group.to_add_right_cancel_semigroup [trans-instance] [coercion] [reducible] :
add_right_cancel_semigroup A :=
⦃ add_right_cancel_semigroup, s,
add_right_cancel := @add_right_cancel A s ⦄
theorem add_neg_eq_neg_add_rev {a b : A} : a + -b = -(b + -a) :=
by rewrite [neg_add_rev, neg_neg]
/- sub -/
-- TODO: derive corresponding facts for div in a field
definition sub [reducible] (a b : A) : A := a + -b
infix [priority algebra.prio] - := sub
theorem sub_eq_add_neg (a b : A) : a - b = a + -b := rfl
theorem sub_self (a : A) : a - a = 0 := !add.right_inv
theorem sub_add_cancel (a b : A) : a - b + b = a := !neg_add_cancel_right
theorem add_sub_cancel (a b : A) : a + b - b = a := !add_neg_cancel_right
theorem eq_of_sub_eq_zero {a b : A} (H : a - b = 0) : a = b :=
calc
a = (a - b) + b : !sub_add_cancel⁻¹
... = 0 + b : H
... = b : zero_add
theorem eq_iff_sub_eq_zero (a b : A) : a = b ↔ a - b = 0 :=
iff.intro (assume H, H ▸ !sub_self) (assume H, eq_of_sub_eq_zero H)
theorem zero_sub (a : A) : 0 - a = -a := !zero_add
theorem sub_zero (a : A) : a - 0 = a := subst (eq.symm neg_zero) !add_zero
theorem sub_neg_eq_add (a b : A) : a - (-b) = a + b :=
by change a + -(-b) = a + b; rewrite neg_neg
theorem neg_sub (a b : A) : -(a - b) = b - a :=
neg_eq_of_add_eq_zero
(calc
a - b + (b - a) = a - b + b - a : by krewrite -add.assoc
... = a - a : sub_add_cancel
... = 0 : sub_self)
theorem add_sub (a b c : A) : a + (b - c) = a + b - c := !add.assoc⁻¹
theorem sub_add_eq_sub_sub_swap (a b c : A) : a - (b + c) = a - c - b :=
calc
a - (b + c) = a + (-c - b) : neg_add_rev
... = a - c - b : by krewrite -add.assoc
theorem sub_eq_iff_eq_add (a b c : A) : a - b = c ↔ a = c + b :=
iff.intro (assume H, eq_add_of_add_neg_eq H) (assume H, add_neg_eq_of_eq_add H)
theorem eq_sub_iff_add_eq (a b c : A) : a = b - c ↔ a + c = b :=
iff.intro (assume H, add_eq_of_eq_add_neg H) (assume H, eq_add_neg_of_add_eq H)
theorem eq_iff_eq_of_sub_eq_sub {a b c d : A} (H : a - b = c - d) : a = b ↔ c = d :=
calc
a = b ↔ a - b = 0 : eq_iff_sub_eq_zero
... = (c - d = 0) : H
... ↔ c = d : iff.symm (eq_iff_sub_eq_zero c d)
theorem eq_sub_of_add_eq {a b c : A} (H : a + c = b) : a = b - c :=
!eq_add_neg_of_add_eq H
theorem sub_eq_of_eq_add {a b c : A} (H : a = c + b) : a - b = c :=
!add_neg_eq_of_eq_add H
theorem eq_add_of_sub_eq {a b c : A} (H : a - c = b) : a = b + c :=
eq_add_of_add_neg_eq H
theorem add_eq_of_eq_sub {a b c : A} (H : a = c - b) : a + b = c :=
add_eq_of_eq_add_neg H
end add_group
structure add_comm_group [class] (A : Type) extends add_group A, add_comm_monoid A
section add_comm_group
variable [s : add_comm_group A]
include s
theorem sub_add_eq_sub_sub (a b c : A) : a - (b + c) = a - b - c :=
!add.comm ▸ !sub_add_eq_sub_sub_swap
theorem neg_add_eq_sub (a b : A) : -a + b = b - a := !add.comm
theorem neg_add (a b : A) : -(a + b) = -a + -b := add.comm (-b) (-a) ▸ neg_add_rev a b
theorem sub_add_eq_add_sub (a b c : A) : a - b + c = a + c - b := !add.right_comm
theorem sub_sub (a b c : A) : a - b - c = a - (b + c) :=
by rewrite [▸ a + -b + -c = _, add.assoc, -neg_add]
theorem add_sub_add_left_eq_sub (a b c : A) : (c + a) - (c + b) = a - b :=
by rewrite [sub_add_eq_sub_sub, (add.comm c a), add_sub_cancel]
theorem eq_sub_of_add_eq' {a b c : A} (H : c + a = b) : a = b - c :=
!eq_sub_of_add_eq (!add.comm ▸ H)
theorem sub_eq_of_eq_add' {a b c : A} (H : a = b + c) : a - b = c :=
!sub_eq_of_eq_add (!add.comm ▸ H)
theorem eq_add_of_sub_eq' {a b c : A} (H : a - b = c) : a = b + c :=
!add.comm ▸ eq_add_of_sub_eq H
theorem add_eq_of_eq_sub' {a b c : A} (H : b = c - a) : a + b = c :=
!add.comm ▸ add_eq_of_eq_sub H
theorem sub_sub_self (a b : A) : a - (a - b) = b :=
by rewrite [sub_eq_add_neg, neg_sub, add.comm, sub_add_cancel]
theorem add_sub_comm (a b c d : A) : a + b - (c + d) = (a - c) + (b - d) :=
by rewrite [sub_add_eq_sub_sub, -sub_add_eq_add_sub a c b, add_sub]
theorem sub_eq_sub_add_sub (a b c : A) : a - b = c - b + (a - c) :=
by rewrite [add_sub, sub_add_cancel] ⬝ !add.comm
theorem neg_neg_sub_neg (a b : A) : - (-a - -b) = a - b :=
by rewrite [neg_sub, sub_neg_eq_add, neg_add_eq_sub]
end add_comm_group
definition group_of_add_group (A : Type) [G : add_group A] : group A :=
⦃group,
mul := has_add.add,
mul_assoc := add.assoc,
one := !has_zero.zero,
one_mul := zero_add,
mul_one := add_zero,
inv := has_neg.neg,
mul_left_inv := add.left_inv⦄
end algebra
|
ea6b99643d107fa56299d6e85c17312ced9d3a2e | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/linear_algebra/affine_space/combination.lean | 6e2bba21b9ac9087ca3eace774d53dd61059a167 | [
"Apache-2.0"
] | permissive | AntoineChambert-Loir/mathlib | 64aabb896129885f12296a799818061bc90da1ff | 07be904260ab6e36a5769680b6012f03a4727134 | refs/heads/master | 1,693,187,631,771 | 1,636,719,886,000 | 1,636,719,886,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 37,830 | lean | /-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import algebra.invertible
import algebra.indicator_function
import linear_algebra.affine_space.affine_map
import linear_algebra.affine_space.affine_subspace
import linear_algebra.finsupp
import tactic.fin_cases
/-!
# Affine combinations of points
This file defines affine combinations of points.
## Main definitions
* `weighted_vsub_of_point` is a general weighted combination of
subtractions with an explicit base point, yielding a vector.
* `weighted_vsub` uses an arbitrary choice of base point and is intended
to be used when the sum of weights is 0, in which case the result is
independent of the choice of base point.
* `affine_combination` adds the weighted combination to the arbitrary
base point, yielding a point rather than a vector, and is intended
to be used when the sum of weights is 1, in which case the result is
independent of the choice of base point.
These definitions are for sums over a `finset`; versions for a
`fintype` may be obtained using `finset.univ`, while versions for a
`finsupp` may be obtained using `finsupp.support`.
## References
* https://en.wikipedia.org/wiki/Affine_space
-/
noncomputable theory
open_locale big_operators classical affine
namespace finset
lemma univ_fin2 : (univ : finset (fin 2)) = {0, 1} :=
by { ext x, fin_cases x; simp }
variables {k : Type*} {V : Type*} {P : Type*} [ring k] [add_comm_group V] [module k V]
variables [S : affine_space V P]
include S
variables {ι : Type*} (s : finset ι)
variables {ι₂ : Type*} (s₂ : finset ι₂)
/-- A weighted sum of the results of subtracting a base point from the
given points, as a linear map on the weights. The main cases of
interest are where the sum of the weights is 0, in which case the sum
is independent of the choice of base point, and where the sum of the
weights is 1, in which case the sum added to the base point is
independent of the choice of base point. -/
def weighted_vsub_of_point (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i in s, (linear_map.proj i : (ι → k) →ₗ[k] k).smul_right (p i -ᵥ b)
@[simp] lemma weighted_vsub_of_point_apply (w : ι → k) (p : ι → P) (b : P) :
s.weighted_vsub_of_point p b w = ∑ i in s, w i • (p i -ᵥ b) :=
by simp [weighted_vsub_of_point, linear_map.sum_apply]
/-- Given a family of points, if we use a member of the family as a base point, the
`weighted_vsub_of_point` does not depend on the value of the weights at this point. -/
lemma weighted_vsub_of_point_eq_of_weights_eq
(p : ι → P) (j : ι) (w₁ w₂ : ι → k) (hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weighted_vsub_of_point p (p j) w₁ = s.weighted_vsub_of_point p (p j) w₂ :=
begin
simp only [finset.weighted_vsub_of_point_apply],
congr,
ext i,
cases eq_or_ne i j with h h,
{ simp [h], },
{ simp [hw i h], },
end
/-- The weighted sum is independent of the base point when the sum of
the weights is 0. -/
lemma weighted_vsub_of_point_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i in s, w i = 0)
(b₁ b₂ : P) : s.weighted_vsub_of_point p b₁ w = s.weighted_vsub_of_point p b₂ w :=
begin
apply eq_of_sub_eq_zero,
rw [weighted_vsub_of_point_apply, weighted_vsub_of_point_apply, ←sum_sub_distrib],
conv_lhs {
congr,
skip,
funext,
rw [←smul_sub, vsub_sub_vsub_cancel_left] },
rw [←sum_smul, h, zero_smul]
end
/-- The weighted sum, added to the base point, is independent of the
base point when the sum of the weights is 1. -/
lemma weighted_vsub_of_point_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i in s, w i = 1)
(b₁ b₂ : P) :
s.weighted_vsub_of_point p b₁ w +ᵥ b₁ = s.weighted_vsub_of_point p b₂ w +ᵥ b₂ :=
begin
erw [weighted_vsub_of_point_apply, weighted_vsub_of_point_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,
funext,
rw [←smul_sub, vsub_sub_vsub_cancel_left] },
rw [←sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
end
/-- The weighted sum is unaffected by removing the base point, if
present, from the set of points. -/
@[simp] lemma weighted_vsub_of_point_erase (w : ι → k) (p : ι → P) (i : ι) :
(s.erase i).weighted_vsub_of_point p (p i) w = s.weighted_vsub_of_point p (p i) w :=
begin
rw [weighted_vsub_of_point_apply, weighted_vsub_of_point_apply],
apply sum_erase,
rw [vsub_self, smul_zero]
end
/-- The weighted sum is unaffected by adding the base point, whether
or not present, to the set of points. -/
@[simp] lemma weighted_vsub_of_point_insert [decidable_eq ι] (w : ι → k) (p : ι → P) (i : ι) :
(insert i s).weighted_vsub_of_point p (p i) w = s.weighted_vsub_of_point p (p i) w :=
begin
rw [weighted_vsub_of_point_apply, weighted_vsub_of_point_apply],
apply sum_insert_zero,
rw [vsub_self, smul_zero]
end
/-- The weighted sum is unaffected by changing the weights to the
corresponding indicator function and adding points to the set. -/
lemma weighted_vsub_of_point_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : finset ι}
(h : s₁ ⊆ s₂) :
s₁.weighted_vsub_of_point p b w = s₂.weighted_vsub_of_point p b (set.indicator ↑s₁ w) :=
begin
rw [weighted_vsub_of_point_apply, weighted_vsub_of_point_apply],
exact set.sum_indicator_subset_of_eq_zero w (λ i wi, wi • (p i -ᵥ b : V)) h (λ i, zero_smul k _)
end
/-- A weighted sum, over the image of an embedding, equals a weighted
sum with the same points and weights over the original
`finset`. -/
lemma weighted_vsub_of_point_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) :
(s₂.map e).weighted_vsub_of_point p b w = s₂.weighted_vsub_of_point (p ∘ e) b (w ∘ e) :=
begin
simp_rw [weighted_vsub_of_point_apply],
exact finset.sum_map _ _ _
end
/-- A weighted sum of the results of subtracting a default base point
from the given points, as a linear map on the weights. This is
intended to be used when the sum of the weights is 0; that condition
is specified as a hypothesis on those lemmas that require it. -/
def weighted_vsub (p : ι → P) : (ι → k) →ₗ[k] V :=
s.weighted_vsub_of_point p (classical.choice S.nonempty)
/-- Applying `weighted_vsub` with given weights. This is for the case
where a result involving a default base point is OK (for example, when
that base point will cancel out later); a more typical use case for
`weighted_vsub` would involve selecting a preferred base point with
`weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero` and then
using `weighted_vsub_of_point_apply`. -/
lemma weighted_vsub_apply (w : ι → k) (p : ι → P) :
s.weighted_vsub p w = ∑ i in s, w i • (p i -ᵥ (classical.choice S.nonempty)) :=
by simp [weighted_vsub, linear_map.sum_apply]
/-- `weighted_vsub` gives the sum of the results of subtracting any
base point, when the sum of the weights is 0. -/
lemma weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero (w : ι → k) (p : ι → P)
(h : ∑ i in s, w i = 0) (b : P) : s.weighted_vsub p w = s.weighted_vsub_of_point p b w :=
s.weighted_vsub_of_point_eq_of_sum_eq_zero w p h _ _
/-- The `weighted_vsub` for an empty set is 0. -/
@[simp] lemma weighted_vsub_empty (w : ι → k) (p : ι → P) :
(∅ : finset ι).weighted_vsub p w = (0:V) :=
by simp [weighted_vsub_apply]
/-- The weighted sum is unaffected by changing the weights to the
corresponding indicator function and adding points to the set. -/
lemma weighted_vsub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : finset ι} (h : s₁ ⊆ s₂) :
s₁.weighted_vsub p w = s₂.weighted_vsub p (set.indicator ↑s₁ w) :=
weighted_vsub_of_point_indicator_subset _ _ _ h
/-- A weighted subtraction, over the image of an embedding, equals a
weighted subtraction with the same points and weights over the
original `finset`. -/
lemma weighted_vsub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).weighted_vsub p w = s₂.weighted_vsub (p ∘ e) (w ∘ e) :=
s₂.weighted_vsub_of_point_map _ _ _ _
/-- A weighted sum of the results of subtracting a default base point
from the given points, added to that base point, as an affine map on
the weights. This is intended to be used when the sum of the weights
is 1, in which case it is an affine combination (barycenter) of the
points with the given weights; that condition is specified as a
hypothesis on those lemmas that require it. -/
def affine_combination (p : ι → P) : (ι → k) →ᵃ[k] P :=
{ to_fun := λ w,
s.weighted_vsub_of_point p (classical.choice S.nonempty) w +ᵥ (classical.choice S.nonempty),
linear := s.weighted_vsub p,
map_vadd' := λ w₁ w₂, by simp_rw [vadd_vadd, weighted_vsub, vadd_eq_add, linear_map.map_add] }
/-- The linear map corresponding to `affine_combination` is
`weighted_vsub`. -/
@[simp] lemma affine_combination_linear (p : ι → P) :
(s.affine_combination p : (ι → k) →ᵃ[k] P).linear = s.weighted_vsub p :=
rfl
/-- Applying `affine_combination` with given weights. This is for the
case where a result involving a default base point is OK (for example,
when that base point will cancel out later); a more typical use case
for `affine_combination` would involve selecting a preferred base
point with
`affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one` and
then using `weighted_vsub_of_point_apply`. -/
lemma affine_combination_apply (w : ι → k) (p : ι → P) :
s.affine_combination p w =
s.weighted_vsub_of_point p (classical.choice S.nonempty) w +ᵥ (classical.choice S.nonempty) :=
rfl
/-- `affine_combination` gives the sum with any base point, when the
sum of the weights is 1. -/
lemma affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one (w : ι → k) (p : ι → P)
(h : ∑ i in s, w i = 1) (b : P) :
s.affine_combination p w = s.weighted_vsub_of_point p b w +ᵥ b :=
s.weighted_vsub_of_point_vadd_eq_of_sum_eq_one w p h _ _
/-- Adding a `weighted_vsub` to an `affine_combination`. -/
lemma weighted_vsub_vadd_affine_combination (w₁ w₂ : ι → k) (p : ι → P) :
s.weighted_vsub p w₁ +ᵥ s.affine_combination p w₂ = s.affine_combination p (w₁ + w₂) :=
by rw [←vadd_eq_add, affine_map.map_vadd, affine_combination_linear]
/-- Subtracting two `affine_combination`s. -/
lemma affine_combination_vsub (w₁ w₂ : ι → k) (p : ι → P) :
s.affine_combination p w₁ -ᵥ s.affine_combination p w₂ = s.weighted_vsub p (w₁ - w₂) :=
by rw [←affine_map.linear_map_vsub, affine_combination_linear, vsub_eq_sub]
lemma attach_affine_combination_of_injective
(s : finset P) (w : P → k) (f : s → P) (hf : function.injective f) :
s.attach.affine_combination f (w ∘ f) = (image f univ).affine_combination id w :=
begin
simp only [affine_combination, weighted_vsub_of_point_apply, id.def, vadd_right_cancel_iff,
function.comp_app, affine_map.coe_mk],
let g₁ : s → V := λ i, w (f i) • (f i -ᵥ classical.choice S.nonempty),
let g₂ : P → V := λ i, w i • (i -ᵥ classical.choice S.nonempty),
change univ.sum g₁ = (image f univ).sum g₂,
have hgf : g₁ = g₂ ∘ f, { ext, simp, },
rw [hgf, sum_image],
exact λ _ _ _ _ hxy, hf hxy,
end
lemma attach_affine_combination_coe (s : finset P) (w : P → k) :
s.attach.affine_combination (coe : s → P) (w ∘ coe) = s.affine_combination id w :=
by rw [attach_affine_combination_of_injective s w (coe : s → P) subtype.coe_injective,
univ_eq_attach, attach_image_coe]
omit S
/-- Viewing a module as an affine space modelled on itself, affine combinations are just linear
combinations. -/
@[simp] lemma affine_combination_eq_linear_combination (s : finset ι) (p : ι → V) (w : ι → k)
(hw : ∑ i in s, w i = 1) :
s.affine_combination p w = ∑ i in s, w i • p i :=
by simp [s.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one w p hw 0]
include S
/-- An `affine_combination` equals a point if that point is in the set
and has weight 1 and the other points in the set have weight 0. -/
@[simp] lemma affine_combination_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.affine_combination p w = p i :=
begin
have h1 : ∑ i in s, w i = 1 := hwi ▸ sum_eq_single i hw0 (λ h, false.elim (h his)),
rw [s.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one w p h1 (p i),
weighted_vsub_of_point_apply],
convert zero_vadd V (p i),
convert sum_eq_zero _,
intros i2 hi2,
by_cases h : i2 = i,
{ simp [h] },
{ simp [hw0 i2 hi2 h] }
end
/-- An affine combination is unaffected by changing the weights to the
corresponding indicator function and adding points to the set. -/
lemma affine_combination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : finset ι}
(h : s₁ ⊆ s₂) :
s₁.affine_combination p w = s₂.affine_combination p (set.indicator ↑s₁ w) :=
by rw [affine_combination_apply, affine_combination_apply,
weighted_vsub_of_point_indicator_subset _ _ _ h]
/-- An affine combination, over the image of an embedding, equals an
affine combination with the same points and weights over the original
`finset`. -/
lemma affine_combination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).affine_combination p w = s₂.affine_combination (p ∘ e) (w ∘ e) :=
by simp_rw [affine_combination_apply, weighted_vsub_of_point_map]
variables {V}
/-- Suppose an indexed family of points is given, along with a subset
of the index type. A vector can be expressed as
`weighted_vsub_of_point` using a `finset` lying within that subset and
with a given sum of weights if and only if it can be expressed as
`weighted_vsub_of_point` with that sum of weights for the
corresponding indexed family whose index type is the subtype
corresponding to that subset. -/
lemma eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype {v : V} {x : k}
{s : set ι} {p : ι → P} {b : P} :
(∃ (fs : finset ι) (hfs : ↑fs ⊆ s) (w : ι → k) (hw : ∑ i in fs, w i = x),
v = fs.weighted_vsub_of_point p b w) ↔
∃ (fs : finset s) (w : s → k) (hw : ∑ i in fs, w i = x),
v = fs.weighted_vsub_of_point (λ (i : s), p i) b w :=
begin
simp_rw weighted_vsub_of_point_apply,
split,
{ rintros ⟨fs, hfs, w, rfl, rfl⟩,
use [fs.subtype s, λ i, w i, sum_subtype_of_mem _ hfs, (sum_subtype_of_mem _ hfs).symm] },
{ rintros ⟨fs, w, rfl, rfl⟩,
refine ⟨fs.map (function.embedding.subtype _), map_subtype_subset _,
λ i, if h : i ∈ s then w ⟨i, h⟩ else 0, _, _⟩;
simp }
end
variables (k)
/-- Suppose an indexed family of points is given, along with a subset
of the index type. A vector can be expressed as `weighted_vsub` using
a `finset` lying within that subset and with sum of weights 0 if and
only if it can be expressed as `weighted_vsub` with sum of weights 0
for the corresponding indexed family whose index type is the subtype
corresponding to that subset. -/
lemma eq_weighted_vsub_subset_iff_eq_weighted_vsub_subtype {v : V} {s : set ι} {p : ι → P} :
(∃ (fs : finset ι) (hfs : ↑fs ⊆ s) (w : ι → k) (hw : ∑ i in fs, w i = 0),
v = fs.weighted_vsub p w) ↔
∃ (fs : finset s) (w : s → k) (hw : ∑ i in fs, w i = 0),
v = fs.weighted_vsub (λ (i : s), p i) w :=
eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype
variables (V)
/-- Suppose an indexed family of points is given, along with a subset
of the index type. A point can be expressed as an
`affine_combination` using a `finset` lying within that subset and
with sum of weights 1 if and only if it can be expressed an
`affine_combination` with sum of weights 1 for the corresponding
indexed family whose index type is the subtype corresponding to that
subset. -/
lemma eq_affine_combination_subset_iff_eq_affine_combination_subtype {p0 : P} {s : set ι}
{p : ι → P} :
(∃ (fs : finset ι) (hfs : ↑fs ⊆ s) (w : ι → k) (hw : ∑ i in fs, w i = 1),
p0 = fs.affine_combination p w) ↔
∃ (fs : finset s) (w : s → k) (hw : ∑ i in fs, w i = 1),
p0 = fs.affine_combination (λ (i : s), p i) w :=
begin
simp_rw [affine_combination_apply, eq_vadd_iff_vsub_eq],
exact eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype
end
variables {k V}
/-- Affine maps commute with affine combinations. -/
lemma map_affine_combination {V₂ P₂ : Type*} [add_comm_group V₂] [module k V₂] [affine_space V₂ P₂]
(p : ι → P) (w : ι → k) (hw : s.sum w = 1) (f : P →ᵃ[k] P₂) :
f (s.affine_combination p w) = s.affine_combination (f ∘ p) w :=
begin
have b := classical.choice (infer_instance : affine_space V P).nonempty,
have b₂ := classical.choice (infer_instance : affine_space V₂ P₂).nonempty,
rw [s.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one w p hw b,
s.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one w (f ∘ p) hw b₂,
← s.weighted_vsub_of_point_vadd_eq_of_sum_eq_one w (f ∘ p) hw (f b) b₂],
simp only [weighted_vsub_of_point_apply, ring_hom.id_apply, affine_map.map_vadd,
linear_map.map_smulₛₗ, affine_map.linear_map_vsub, linear_map.map_sum],
end
end finset
namespace finset
variables (k : Type*) {V : Type*} {P : Type*} [division_ring k] [add_comm_group V] [module k V]
variables [affine_space V P] {ι : Type*} (s : finset ι) {ι₂ : Type*} (s₂ : finset ι₂)
/-- The weights for the centroid of some points. -/
def centroid_weights : ι → k := function.const ι (card s : k) ⁻¹
/-- `centroid_weights` at any point. -/
@[simp] lemma centroid_weights_apply (i : ι) : s.centroid_weights k i = (card s : k) ⁻¹ :=
rfl
/-- `centroid_weights` equals a constant function. -/
lemma centroid_weights_eq_const :
s.centroid_weights k = function.const ι ((card s : k) ⁻¹) :=
rfl
variables {k}
/-- The weights in the centroid sum to 1, if the number of points,
converted to `k`, is not zero. -/
lemma sum_centroid_weights_eq_one_of_cast_card_ne_zero (h : (card s : k) ≠ 0) :
∑ i in s, s.centroid_weights k i = 1 :=
by simp [h]
variables (k)
/-- In the characteristic zero case, the weights in the centroid sum
to 1 if the number of points is not zero. -/
lemma sum_centroid_weights_eq_one_of_card_ne_zero [char_zero k] (h : card s ≠ 0) :
∑ i in s, s.centroid_weights k i = 1 :=
by simp [h]
/-- In the characteristic zero case, the weights in the centroid sum
to 1 if the set is nonempty. -/
lemma sum_centroid_weights_eq_one_of_nonempty [char_zero k] (h : s.nonempty) :
∑ i in s, s.centroid_weights k i = 1 :=
s.sum_centroid_weights_eq_one_of_card_ne_zero k (ne_of_gt (card_pos.2 h))
/-- In the characteristic zero case, the weights in the centroid sum
to 1 if the number of points is `n + 1`. -/
lemma sum_centroid_weights_eq_one_of_card_eq_add_one [char_zero k] {n : ℕ}
(h : card s = n + 1) : ∑ i in s, s.centroid_weights k i = 1 :=
s.sum_centroid_weights_eq_one_of_card_ne_zero k (h.symm ▸ nat.succ_ne_zero n)
include V
/-- The centroid of some points. Although defined for any `s`, this
is intended to be used in the case where the number of points,
converted to `k`, is not zero. -/
def centroid (p : ι → P) : P :=
s.affine_combination p (s.centroid_weights k)
/-- The definition of the centroid. -/
lemma centroid_def (p : ι → P) :
s.centroid k p = s.affine_combination p (s.centroid_weights k) :=
rfl
lemma centroid_univ (s : finset P) :
univ.centroid k (coe : s → P) = s.centroid k id :=
by { rw [centroid, centroid, ← s.attach_affine_combination_coe], congr, ext, simp, }
/-- The centroid of a single point. -/
@[simp] lemma centroid_singleton (p : ι → P) (i : ι) :
({i} : finset ι).centroid k p = p i :=
by simp [centroid_def, affine_combination_apply]
/-- The centroid of two points, expressed directly as adding a vector
to a point. -/
lemma centroid_insert_singleton [invertible (2 : k)] (p : ι → P) (i₁ i₂ : ι) :
({i₁, i₂} : finset ι).centroid k p = (2 ⁻¹ : k) • (p i₂ -ᵥ p i₁) +ᵥ p i₁ :=
begin
by_cases h : i₁ = i₂,
{ simp [h] },
{ have hc : (card ({i₁, i₂} : finset ι) : k) ≠ 0,
{ rw [card_insert_of_not_mem (not_mem_singleton.2 h), card_singleton],
norm_num,
exact nonzero_of_invertible _ },
rw [centroid_def,
affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one _ _ _
(sum_centroid_weights_eq_one_of_cast_card_ne_zero _ hc) (p i₁)],
simp [h],
norm_num }
end
/-- The centroid of two points indexed by `fin 2`, expressed directly
as adding a vector to the first point. -/
lemma centroid_insert_singleton_fin [invertible (2 : k)] (p : fin 2 → P) :
univ.centroid k p = (2 ⁻¹ : k) • (p 1 -ᵥ p 0) +ᵥ p 0 :=
begin
rw univ_fin2,
convert centroid_insert_singleton k p 0 1
end
/-- A centroid, over the image of an embedding, equals a centroid with
the same points and weights over the original `finset`. -/
lemma centroid_map (e : ι₂ ↪ ι) (p : ι → P) : (s₂.map e).centroid k p = s₂.centroid k (p ∘ e) :=
by simp [centroid_def, affine_combination_map, centroid_weights]
omit V
/-- `centroid_weights` gives the weights for the centroid as a
constant function, which is suitable when summing over the points
whose centroid is being taken. This function gives the weights in a
form suitable for summing over a larger set of points, as an indicator
function that is zero outside the set whose centroid is being taken.
In the case of a `fintype`, the sum may be over `univ`. -/
def centroid_weights_indicator : ι → k := set.indicator ↑s (s.centroid_weights k)
/-- The definition of `centroid_weights_indicator`. -/
lemma centroid_weights_indicator_def :
s.centroid_weights_indicator k = set.indicator ↑s (s.centroid_weights k) :=
rfl
/-- The sum of the weights for the centroid indexed by a `fintype`. -/
lemma sum_centroid_weights_indicator [fintype ι] :
∑ i, s.centroid_weights_indicator k i = ∑ i in s, s.centroid_weights k i :=
(set.sum_indicator_subset _ (subset_univ _)).symm
/-- In the characteristic zero case, the weights in the centroid
indexed by a `fintype` sum to 1 if the number of points is not
zero. -/
lemma sum_centroid_weights_indicator_eq_one_of_card_ne_zero [char_zero k] [fintype ι]
(h : card s ≠ 0) : ∑ i, s.centroid_weights_indicator k i = 1 :=
begin
rw sum_centroid_weights_indicator,
exact s.sum_centroid_weights_eq_one_of_card_ne_zero k h
end
/-- In the characteristic zero case, the weights in the centroid
indexed by a `fintype` sum to 1 if the set is nonempty. -/
lemma sum_centroid_weights_indicator_eq_one_of_nonempty [char_zero k] [fintype ι]
(h : s.nonempty) : ∑ i, s.centroid_weights_indicator k i = 1 :=
begin
rw sum_centroid_weights_indicator,
exact s.sum_centroid_weights_eq_one_of_nonempty k h
end
/-- In the characteristic zero case, the weights in the centroid
indexed by a `fintype` sum to 1 if the number of points is `n + 1`. -/
lemma sum_centroid_weights_indicator_eq_one_of_card_eq_add_one [char_zero k] [fintype ι] {n : ℕ}
(h : card s = n + 1) : ∑ i, s.centroid_weights_indicator k i = 1 :=
begin
rw sum_centroid_weights_indicator,
exact s.sum_centroid_weights_eq_one_of_card_eq_add_one k h
end
include V
/-- The centroid as an affine combination over a `fintype`. -/
lemma centroid_eq_affine_combination_fintype [fintype ι] (p : ι → P) :
s.centroid k p = univ.affine_combination p (s.centroid_weights_indicator k) :=
affine_combination_indicator_subset _ _ (subset_univ _)
/-- An indexed family of points that is injective on the given
`finset` has the same centroid as the image of that `finset`. This is
stated in terms of a set equal to the image to provide control of
definitional equality for the index type used for the centroid of the
image. -/
lemma centroid_eq_centroid_image_of_inj_on {p : ι → P} (hi : ∀ i j ∈ s, p i = p j → i = j)
{ps : set P} [fintype ps] (hps : ps = p '' ↑s) :
s.centroid k p = (univ : finset ps).centroid k (λ x, x) :=
begin
let f : p '' ↑s → ι := λ x, x.property.some,
have hf : ∀ x, f x ∈ s ∧ p (f x) = x := λ x, x.property.some_spec,
let f' : ps → ι := λ x, f ⟨x, hps ▸ x.property⟩,
have hf' : ∀ x, f' x ∈ s ∧ p (f' x) = x := λ x, hf ⟨x, hps ▸ x.property⟩,
have hf'i : function.injective f',
{ intros x y h,
rw [subtype.ext_iff, ←(hf' x).2, ←(hf' y).2, h] },
let f'e : ps ↪ ι := ⟨f', hf'i⟩,
have hu : finset.univ.map f'e = s,
{ ext x,
rw mem_map,
split,
{ rintros ⟨i, _, rfl⟩,
exact (hf' i).1 },
{ intro hx,
use [⟨p x, hps.symm ▸ set.mem_image_of_mem _ hx⟩, mem_univ _],
refine hi _ _ (hf' _).1 hx _,
rw (hf' _).2,
refl } },
rw [←hu, centroid_map],
congr' with x,
change p (f' x) = ↑x,
rw (hf' x).2
end
/-- Two indexed families of points that are injective on the given
`finset`s and with the same points in the image of those `finset`s
have the same centroid. -/
lemma centroid_eq_of_inj_on_of_image_eq {p : ι → P} (hi : ∀ i j ∈ s, p i = p j → i = j)
{p₂ : ι₂ → P} (hi₂ : ∀ i j ∈ s₂, p₂ i = p₂ j → i = j) (he : p '' ↑s = p₂ '' ↑s₂) :
s.centroid k p = s₂.centroid k p₂ :=
by rw [s.centroid_eq_centroid_image_of_inj_on k hi rfl,
s₂.centroid_eq_centroid_image_of_inj_on k hi₂ he]
end finset
section affine_space'
variables {k : Type*} {V : Type*} {P : Type*} [ring k] [add_comm_group V] [module k V]
[affine_space V P]
variables {ι : Type*}
include V
/-- A `weighted_vsub` with sum of weights 0 is in the `vector_span` of
an indexed family. -/
lemma weighted_vsub_mem_vector_span {s : finset ι} {w : ι → k}
(h : ∑ i in s, w i = 0) (p : ι → P) :
s.weighted_vsub p w ∈ vector_span k (set.range p) :=
begin
rcases is_empty_or_nonempty ι with hι|⟨⟨i0⟩⟩,
{ resetI, simp [finset.eq_empty_of_is_empty s] },
{ rw [vector_span_range_eq_span_range_vsub_right k p i0, ←set.image_univ,
finsupp.mem_span_image_iff_total,
finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero s w p h (p i0),
finset.weighted_vsub_of_point_apply],
let w' := set.indicator ↑s w,
have hwx : ∀ i, w' i ≠ 0 → i ∈ s := λ i, set.mem_of_indicator_ne_zero,
use [finsupp.on_finset s w' hwx, set.subset_univ _],
rw [finsupp.total_apply, finsupp.on_finset_sum hwx],
{ apply finset.sum_congr rfl,
intros i hi,
simp [w', set.indicator_apply, if_pos hi] },
{ exact λ _, zero_smul k _ } },
end
/-- An `affine_combination` with sum of weights 1 is in the
`affine_span` of an indexed family, if the underlying ring is
nontrivial. -/
lemma affine_combination_mem_affine_span [nontrivial k] {s : finset ι} {w : ι → k}
(h : ∑ i in s, w i = 1) (p : ι → P) :
s.affine_combination p w ∈ affine_span k (set.range p) :=
begin
have hnz : ∑ i in s, w i ≠ 0 := h.symm ▸ one_ne_zero,
have hn : s.nonempty := finset.nonempty_of_sum_ne_zero hnz,
cases hn with i1 hi1,
let w1 : ι → k := function.update (function.const ι 0) i1 1,
have hw1 : ∑ i in s, w1 i = 1,
{ rw [finset.sum_update_of_mem hi1, finset.sum_const_zero, add_zero] },
have hw1s : s.affine_combination p w1 = p i1 :=
s.affine_combination_of_eq_one_of_eq_zero w1 p hi1 (function.update_same _ _ _)
(λ _ _ hne, function.update_noteq hne _ _),
have hv : s.affine_combination p w -ᵥ p i1 ∈ (affine_span k (set.range p)).direction,
{ rw [direction_affine_span, ←hw1s, finset.affine_combination_vsub],
apply weighted_vsub_mem_vector_span,
simp [pi.sub_apply, h, hw1] },
rw ←vsub_vadd (s.affine_combination p w) (p i1),
exact affine_subspace.vadd_mem_of_mem_direction hv (mem_affine_span k (set.mem_range_self _))
end
variables (k) {V}
/-- A vector is in the `vector_span` of an indexed family if and only
if it is a `weighted_vsub` with sum of weights 0. -/
lemma mem_vector_span_iff_eq_weighted_vsub {v : V} {p : ι → P} :
v ∈ vector_span k (set.range p) ↔
∃ (s : finset ι) (w : ι → k) (h : ∑ i in s, w i = 0), v = s.weighted_vsub p w :=
begin
split,
{ rcases is_empty_or_nonempty ι with hι|⟨⟨i0⟩⟩, swap,
{ rw [vector_span_range_eq_span_range_vsub_right k p i0, ←set.image_univ,
finsupp.mem_span_image_iff_total],
rintros ⟨l, hl, hv⟩,
use insert i0 l.support,
set w := (l : ι → k) -
function.update (function.const ι 0 : ι → k) i0 (∑ i in l.support, l i) with hwdef,
use w,
have hw : ∑ i in insert i0 l.support, w i = 0,
{ rw hwdef,
simp_rw [pi.sub_apply, finset.sum_sub_distrib,
finset.sum_update_of_mem (finset.mem_insert_self _ _), finset.sum_const_zero,
finset.sum_insert_of_eq_zero_if_not_mem finsupp.not_mem_support_iff.1,
add_zero, sub_self] },
use hw,
have hz : w i0 • (p i0 -ᵥ p i0 : V) = 0 := (vsub_self (p i0)).symm ▸ smul_zero _,
change (λ i, w i • (p i -ᵥ p i0 : V)) i0 = 0 at hz,
rw [finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero _ w p hw (p i0),
finset.weighted_vsub_of_point_apply, ←hv, finsupp.total_apply,
finset.sum_insert_zero hz],
change ∑ i in l.support, l i • _ = _,
congr' with i,
by_cases h : i = i0,
{ simp [h] },
{ simp [hwdef, h] } },
{ resetI,
rw [set.range_eq_empty, vector_span_empty, submodule.mem_bot],
rintro rfl,
use [∅],
simp } },
{ rintros ⟨s, w, hw, rfl⟩,
exact weighted_vsub_mem_vector_span hw p }
end
variables {k}
/-- A point in the `affine_span` of an indexed family is an
`affine_combination` with sum of weights 1. See also
`eq_affine_combination_of_mem_affine_span_of_fintype`. -/
lemma eq_affine_combination_of_mem_affine_span {p1 : P} {p : ι → P}
(h : p1 ∈ affine_span k (set.range p)) :
∃ (s : finset ι) (w : ι → k) (hw : ∑ i in s, w i = 1), p1 = s.affine_combination p w :=
begin
have hn : ((affine_span k (set.range p)) : set P).nonempty := ⟨p1, h⟩,
rw [affine_span_nonempty, set.range_nonempty_iff_nonempty] at hn,
cases hn with i0,
have h0 : p i0 ∈ affine_span k (set.range p) := mem_affine_span k (set.mem_range_self i0),
have hd : p1 -ᵥ p i0 ∈ (affine_span k (set.range p)).direction :=
affine_subspace.vsub_mem_direction h h0,
rw [direction_affine_span, mem_vector_span_iff_eq_weighted_vsub] at hd,
rcases hd with ⟨s, w, h, hs⟩,
let s' := insert i0 s,
let w' := set.indicator ↑s w,
have h' : ∑ i in s', w' i = 0,
{ rw [←h, set.sum_indicator_subset _ (finset.subset_insert i0 s)] },
have hs' : s'.weighted_vsub p w' = p1 -ᵥ p i0,
{ rw hs,
exact (finset.weighted_vsub_indicator_subset _ _ (finset.subset_insert i0 s)).symm },
let w0 : ι → k := function.update (function.const ι 0) i0 1,
have hw0 : ∑ i in s', w0 i = 1,
{ rw [finset.sum_update_of_mem (finset.mem_insert_self _ _), finset.sum_const_zero, add_zero] },
have hw0s : s'.affine_combination p w0 = p i0 :=
s'.affine_combination_of_eq_one_of_eq_zero w0 p
(finset.mem_insert_self _ _)
(function.update_same _ _ _)
(λ _ _ hne, function.update_noteq hne _ _),
use [s', w0 + w'],
split,
{ simp [pi.add_apply, finset.sum_add_distrib, hw0, h'] },
{ rw [add_comm, ←finset.weighted_vsub_vadd_affine_combination, hw0s, hs', vsub_vadd] }
end
lemma eq_affine_combination_of_mem_affine_span_of_fintype [fintype ι] {p1 : P} {p : ι → P}
(h : p1 ∈ affine_span k (set.range p)) :
∃ (w : ι → k) (hw : ∑ i, w i = 1), p1 = finset.univ.affine_combination p w :=
begin
obtain ⟨s, w, hw, rfl⟩ := eq_affine_combination_of_mem_affine_span h,
refine ⟨(s : set ι).indicator w, _, finset.affine_combination_indicator_subset w p s.subset_univ⟩,
simp only [finset.mem_coe, set.indicator_apply, ← hw],
convert fintype.sum_extend_by_zero s w,
ext i,
congr,
end
variables (k V)
/-- A point is in the `affine_span` of an indexed family if and only
if it is an `affine_combination` with sum of weights 1, provided the
underlying ring is nontrivial. -/
lemma mem_affine_span_iff_eq_affine_combination [nontrivial k] {p1 : P} {p : ι → P} :
p1 ∈ affine_span k (set.range p) ↔
∃ (s : finset ι) (w : ι → k) (hw : ∑ i in s, w i = 1), p1 = s.affine_combination p w :=
begin
split,
{ exact eq_affine_combination_of_mem_affine_span },
{ rintros ⟨s, w, hw, rfl⟩,
exact affine_combination_mem_affine_span hw p }
end
/-- Given a family of points together with a chosen base point in that family, membership of the
affine span of this family corresponds to an identity in terms of `weighted_vsub_of_point`, with
weights that are not required to sum to 1. -/
lemma mem_affine_span_iff_eq_weighted_vsub_of_point_vadd
[nontrivial k] (p : ι → P) (j : ι) (q : P) :
q ∈ affine_span k (set.range p) ↔
∃ (s : finset ι) (w : ι → k), q = s.weighted_vsub_of_point p (p j) w +ᵥ (p j) :=
begin
split,
{ intros hq,
obtain ⟨s, w, hw, rfl⟩ := eq_affine_combination_of_mem_affine_span hq,
exact ⟨s, w, s.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one w p hw (p j)⟩, },
{ rintros ⟨s, w, rfl⟩,
classical,
let w' : ι → k := function.update w j (1 - (s \ {j}).sum w),
have h₁ : (insert j s).sum w' = 1,
{ by_cases hj : j ∈ s,
{ simp [finset.sum_update_of_mem hj, finset.insert_eq_of_mem hj], },
{ simp [w', finset.sum_insert hj, finset.sum_update_of_not_mem hj, hj], }, },
have hww : ∀ i, i ≠ j → w i = w' i, { intros i hij, simp [w', hij], },
rw [s.weighted_vsub_of_point_eq_of_weights_eq p j w w' hww,
← s.weighted_vsub_of_point_insert w' p j,
← (insert j s).affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one w' p h₁ (p j)],
exact affine_combination_mem_affine_span h₁ p, },
end
variables {k V}
/-- Given a set of points, together with a chosen base point in this set, if we affinely transport
all other members of the set along the line joining them to this base point, the affine span is
unchanged. -/
lemma affine_span_eq_affine_span_line_map_units [nontrivial k]
{s : set P} {p : P} (hp : p ∈ s) (w : s → units k) :
affine_span k (set.range (λ (q : s), affine_map.line_map p ↑q (w q : k))) = affine_span k s :=
begin
have : s = set.range (coe : s → P), { simp, },
conv_rhs { rw this, },
apply le_antisymm;
intros q hq;
erw mem_affine_span_iff_eq_weighted_vsub_of_point_vadd k V _ (⟨p, hp⟩ : s) q at hq ⊢;
obtain ⟨t, μ, rfl⟩ := hq;
use t;
[use λ x, (μ x) * ↑(w x), use λ x, (μ x) * ↑(w x)⁻¹];
simp [smul_smul],
end
end affine_space'
section division_ring
variables {k : Type*} {V : Type*} {P : Type*} [division_ring k] [add_comm_group V] [module k V]
variables [affine_space V P] {ι : Type*}
include V
open set finset
/-- The centroid lies in the affine span if the number of points,
converted to `k`, is not zero. -/
lemma centroid_mem_affine_span_of_cast_card_ne_zero {s : finset ι} (p : ι → P)
(h : (card s : k) ≠ 0) : s.centroid k p ∈ affine_span k (range p) :=
affine_combination_mem_affine_span (s.sum_centroid_weights_eq_one_of_cast_card_ne_zero h) p
variables (k)
/-- In the characteristic zero case, the centroid lies in the affine
span if the number of points is not zero. -/
lemma centroid_mem_affine_span_of_card_ne_zero [char_zero k] {s : finset ι} (p : ι → P)
(h : card s ≠ 0) : s.centroid k p ∈ affine_span k (range p) :=
affine_combination_mem_affine_span (s.sum_centroid_weights_eq_one_of_card_ne_zero k h) p
/-- In the characteristic zero case, the centroid lies in the affine
span if the set is nonempty. -/
lemma centroid_mem_affine_span_of_nonempty [char_zero k] {s : finset ι} (p : ι → P)
(h : s.nonempty) : s.centroid k p ∈ affine_span k (range p) :=
affine_combination_mem_affine_span (s.sum_centroid_weights_eq_one_of_nonempty k h) p
/-- In the characteristic zero case, the centroid lies in the affine
span if the number of points is `n + 1`. -/
lemma centroid_mem_affine_span_of_card_eq_add_one [char_zero k] {s : finset ι} (p : ι → P)
{n : ℕ} (h : card s = n + 1) : s.centroid k p ∈ affine_span k (range p) :=
affine_combination_mem_affine_span (s.sum_centroid_weights_eq_one_of_card_eq_add_one k h) p
end division_ring
namespace affine_map
variables {k : Type*} {V : Type*} (P : Type*) [comm_ring k] [add_comm_group V] [module k V]
variables [affine_space V P] {ι : Type*} (s : finset ι)
include V
-- TODO: define `affine_map.proj`, `affine_map.fst`, `affine_map.snd`
/-- A weighted sum, as an affine map on the points involved. -/
def weighted_vsub_of_point (w : ι → k) : ((ι → P) × P) →ᵃ[k] V :=
{ to_fun := λ p, s.weighted_vsub_of_point p.fst p.snd w,
linear := ∑ i in s,
w i • ((linear_map.proj i).comp (linear_map.fst _ _ _) - linear_map.snd _ _ _),
map_vadd' := begin
rintros ⟨p, b⟩ ⟨v, b'⟩,
simp [linear_map.sum_apply, finset.weighted_vsub_of_point, vsub_vadd_eq_vsub_sub,
vadd_vsub_assoc, add_sub, ← sub_add_eq_add_sub, smul_add, finset.sum_add_distrib]
end }
end affine_map
|
ef40f1172dd1792d7f424e5b04a980d74848edcd | 9be442d9ec2fcf442516ed6e9e1660aa9071b7bd | /tests/pkg/user_attr/UserAttr/Tst.lean | 65fc31c555e586156675a88491e99896533eb0d0 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | EdAyers/lean4 | 57ac632d6b0789cb91fab2170e8c9e40441221bd | 37ba0df5841bde51dbc2329da81ac23d4f6a4de4 | refs/heads/master | 1,676,463,245,298 | 1,660,619,433,000 | 1,660,619,433,000 | 183,433,437 | 1 | 0 | Apache-2.0 | 1,657,612,672,000 | 1,556,196,574,000 | Lean | UTF-8 | Lean | false | false | 2,251 | lean | import Lean
import UserAttr.BlaAttr
@[bla] def f (x : Nat) := x + 2
@[bla] def g (x : Nat) := x + 1
@[foo 10] def h1 (x : Nat) := 2*x + 1
@[foo 20 important] def h2 (x : Nat) := 2*x + 1
open Lean in
def hasBlaAttr (declName : Name) : CoreM Bool :=
return blaAttr.hasTag (← getEnv) declName
#eval hasBlaAttr ``f
#eval hasBlaAttr ``id
open Lean in
def getFooAttrInfo? (declName : Name) : CoreM (Option (Nat × Bool)) :=
return fooAttr.getParam? (← getEnv) declName
#eval getFooAttrInfo? ``f
#eval getFooAttrInfo? ``h1
#eval getFooAttrInfo? ``h2
@[my_simp] theorem f_eq : f x = x + 2 := rfl
@[my_simp] theorem g_eq : g x = x + 1 := rfl
example : f x + g x = 2*x + 3 := by
simp_arith -- does not appy f_eq and g_eq
simp_arith [f, g]
example : f x + g x = 2*x + 3 := by
simp_arith [my_simp]
example : f x = id (x + 2) := by
simp
simp [my_simp]
macro "my_simp" : tactic => `(simp [my_simp])
example : f x = id (x + 2) := by
my_simp
@[simp low, my_simp low]
axiom expand_mul_add (x y z : Nat) : x * (y + z) = x * y + x * y
@[simp high, my_simp high]
axiom expand_add_mul (x y z : Nat) : (x + y) * z = x * z + y * z
@[simp, my_simp]
axiom lassoc_add (x y z : Nat) : x + (y + z) = x + y + z
set_option trace.Meta.Tactic.simp.rewrite true
-- Rewrites: expand_mul_add -> expand_mul_add -> lassoc_add
theorem ex1 (x : Nat) : (x + x) * (x + x) = x * x + x * x + x * x + x * x := by simp only [my_simp]
-- Rewrites: expand_add_mul -> expand_mul_add -> lassoc_add
theorem ex2 (x : Nat) : (x + x) * (x + x) = x * x + x * x + x * x + x * x := by simp
open Lean Meta in
def checkProofs : MetaM Unit := do
let .thmInfo info1 ← getConstInfo `ex1 | throwError "unexpected"
let .thmInfo info2 ← getConstInfo `ex2 | throwError "unexpected"
unless info1.value == info2.value do
throwError "unexpected values"
#eval checkProofs
open Lean Meta in
def showThmsOf (simpAttrName : Name) : MetaM Unit := do
let some simpExt ← getSimpExtension? simpAttrName
| throwError "`{simpAttrName}` is not a simp attribute"
let thms ← simpExt.getTheorems
let thmNames := thms.lemmaNames.fold (init := #[]) fun acc lemmaName => acc.push lemmaName
for thmName in thmNames do
IO.println thmName
#eval showThmsOf `my_simp
|
0124464f4c032ee639e70773f7d66014803e3144 | 957a80ea22c5abb4f4670b250d55534d9db99108 | /library/init/data/int/basic.lean | 41de756c5df8e9d6ebbf29f8d9900d04176de5e2 | [
"Apache-2.0"
] | permissive | GaloisInc/lean | aa1e64d604051e602fcf4610061314b9a37ab8cd | f1ec117a24459b59c6ff9e56a1d09d9e9e60a6c0 | refs/heads/master | 1,592,202,909,807 | 1,504,624,387,000 | 1,504,624,387,000 | 75,319,626 | 2 | 1 | Apache-2.0 | 1,539,290,164,000 | 1,480,616,104,000 | C++ | UTF-8 | Lean | false | false | 17,939 | lean | /-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
The integers, with addition, multiplication, and subtraction.
-/
prelude
import init.data.nat.lemmas init.data.nat.gcd init.meta.transfer init.data.list
open nat
/- the type, coercions, and notation -/
inductive int : Type
| of_nat : nat → int
| neg_succ_of_nat : nat → int
notation `ℤ` := int
instance : has_coe nat int := ⟨int.of_nat⟩
notation `-[1+ ` n `]` := int.neg_succ_of_nat n
instance : decidable_eq int :=
by tactic.mk_dec_eq_instance
protected def int.repr : int → string
| (int.of_nat n) := repr n
| (int.neg_succ_of_nat n) := "-" ++ repr (succ n)
instance : has_repr int :=
⟨int.repr⟩
instance : has_to_string int :=
⟨int.repr⟩
namespace int
protected lemma coe_nat_eq (n : ℕ) : ↑n = int.of_nat n := rfl
protected def zero : ℤ := of_nat 0
protected def one : ℤ := of_nat 1
instance : has_zero ℤ := ⟨int.zero⟩
instance : has_one ℤ := ⟨int.one⟩
lemma of_nat_zero : of_nat (0 : nat) = (0 : int) := rfl
lemma of_nat_one : of_nat (1 : nat) = (1 : int) := rfl
/- definitions of basic functions -/
def neg_of_nat : ℕ → ℤ
| 0 := 0
| (succ m) := -[1+ m]
def sub_nat_nat (m n : ℕ) : ℤ :=
match (n - m : nat) with
| 0 := of_nat (m - n) -- m ≥ n
| (succ k) := -[1+ k] -- m < n, and n - m = succ k
end
protected def neg : ℤ → ℤ
| (of_nat n) := neg_of_nat n
| -[1+ n] := succ n
protected def add : ℤ → ℤ → ℤ
| (of_nat m) (of_nat n) := of_nat (m + n)
| (of_nat m) -[1+ n] := sub_nat_nat m (succ n)
| -[1+ m] (of_nat n) := sub_nat_nat n (succ m)
| -[1+ m] -[1+ n] := -[1+ succ (m + n)]
protected def mul : ℤ → ℤ → ℤ
| (of_nat m) (of_nat n) := of_nat (m * n)
| (of_nat m) -[1+ n] := neg_of_nat (m * succ n)
| -[1+ m] (of_nat n) := neg_of_nat (succ m * n)
| -[1+ m] -[1+ n] := of_nat (succ m * succ n)
instance : has_neg ℤ := ⟨int.neg⟩
instance : has_add ℤ := ⟨int.add⟩
instance : has_mul ℤ := ⟨int.mul⟩
lemma of_nat_add (n m : ℕ) : of_nat (n + m) = of_nat n + of_nat m := rfl
lemma of_nat_mul (n m : ℕ) : of_nat (n * m) = of_nat n * of_nat m := rfl
lemma of_nat_succ (n : ℕ) : of_nat (succ n) = of_nat n + 1 := rfl
lemma neg_of_nat_zero : -(of_nat 0) = 0 := rfl
lemma neg_of_nat_of_succ (n : ℕ) : -(of_nat (succ n)) = -[1+ n] := rfl
lemma neg_neg_of_nat_succ (n : ℕ) : -(-[1+ n]) = of_nat (succ n) := rfl
lemma of_nat_eq_coe (n : ℕ) : of_nat n = ↑n := rfl
lemma neg_succ_of_nat_coe (n : ℕ) : -[1+ n] = -↑(n + 1) := rfl
protected lemma coe_nat_add (m n : ℕ) : (↑(m + n) : ℤ) = ↑m + ↑n := rfl
protected lemma coe_nat_mul (m n : ℕ) : (↑(m * n) : ℤ) = ↑m * ↑n := rfl
protected lemma coe_nat_zero : ↑(0 : ℕ) = (0 : ℤ) := rfl
protected lemma coe_nat_one : ↑(1 : ℕ) = (1 : ℤ) := rfl
protected lemma coe_nat_succ (n : ℕ) : (↑(succ n) : ℤ) = ↑n + 1 := rfl
protected lemma coe_nat_add_out (m n : ℕ) : ↑m + ↑n = (m + n : ℤ) := rfl
protected lemma coe_nat_mul_out (m n : ℕ) : ↑m * ↑n = (↑(m * n) : ℤ) := rfl
protected lemma coe_nat_add_one_out (n : ℕ) : ↑n + (1 : ℤ) = ↑(succ n) := rfl
/- injectivity of the constructor functions -/
protected lemma of_nat_inj {m n : ℕ} (h : of_nat m = of_nat n) : m = n :=
int.no_confusion h id
protected lemma coe_nat_inj {m n : ℕ} (h : (↑m : ℤ) = ↑n) : m = n :=
int.of_nat_inj h
lemma of_nat_eq_of_nat_iff (m n : ℕ) : of_nat m = of_nat n ↔ m = n :=
iff.intro int.of_nat_inj (congr_arg _)
protected lemma coe_nat_eq_coe_nat_iff (m n : ℕ) : (↑m : ℤ) = ↑n ↔ m = n :=
of_nat_eq_of_nat_iff m n
lemma neg_succ_of_nat_inj {m n : ℕ} (h : neg_succ_of_nat m = neg_succ_of_nat n) : m = n :=
int.no_confusion h id
lemma neg_succ_of_nat_inj_iff {m n : ℕ} : neg_succ_of_nat m = neg_succ_of_nat n ↔ m = n :=
⟨neg_succ_of_nat_inj, assume H, by simp [H]⟩
lemma neg_succ_of_nat_eq (n : ℕ) : -[1+ n] = -(n + 1) := rfl
/- basic properties of sub_nat_nat -/
lemma sub_nat_nat_elim (m n : ℕ) (P : ℕ → ℕ → ℤ → Prop)
(hp : ∀i n, P (n + i) n (of_nat i))
(hn : ∀i m, P m (m + i + 1) (-[1+ i])) :
P m n (sub_nat_nat m n) :=
begin
have H : ∀k, n - m = k → P m n (nat.cases_on k (of_nat (m - n)) (λa, -[1+ a])),
{ intro k, cases k,
{ intro e,
cases (nat.le.dest (nat.le_of_sub_eq_zero e)) with k h,
rw [h.symm, nat.add_sub_cancel_left],
apply hp },
{ intro heq,
have h : m ≤ n,
{ exact nat.le_of_lt (nat.lt_of_sub_eq_succ heq) },
rw [nat.sub_eq_iff_eq_add h] at heq,
rw [heq, add_comm],
apply hn } },
exact H _ rfl
end
private lemma sub_nat_nat_add_left {m n : ℕ} :
sub_nat_nat (m + n) m = of_nat n :=
begin
dunfold sub_nat_nat,
rw [nat.sub_eq_zero_of_le],
dunfold sub_nat_nat._match_1,
rw [nat.add_sub_cancel_left],
apply nat.le_add_right
end
private lemma sub_nat_nat_add_right {m n : ℕ} :
sub_nat_nat m (m + n + 1) = neg_succ_of_nat n :=
calc sub_nat_nat._match_1 m (m + n + 1) (m + n + 1 - m) =
sub_nat_nat._match_1 m (m + n + 1) (m + (n + 1) - m) : by simp
... = sub_nat_nat._match_1 m (m + n + 1) (n + 1) : by rw [nat.add_sub_cancel_left]
... = neg_succ_of_nat n : rfl
private lemma sub_nat_nat_add_add (m n k : ℕ) : sub_nat_nat (m + k) (n + k) = sub_nat_nat m n :=
sub_nat_nat_elim m n (λm n i, sub_nat_nat (m + k) (n + k) = i)
(assume i n, have n + i + k = (n + k) + i, by simp,
begin rw [this], exact sub_nat_nat_add_left end)
(assume i m, have m + i + 1 + k = (m + k) + i + 1, by simp,
begin rw [this], exact sub_nat_nat_add_right end)
/- nat_abs -/
@[simp] def nat_abs : ℤ → ℕ
| (of_nat m) := m
| -[1+ m] := succ m
lemma nat_abs_of_nat (n : ℕ) : nat_abs ↑n = n := rfl
lemma eq_zero_of_nat_abs_eq_zero : Π {a : ℤ}, nat_abs a = 0 → a = 0
| (of_nat m) H := congr_arg of_nat H
| -[1+ m'] H := absurd H (succ_ne_zero _)
lemma nat_abs_pos_of_ne_zero {a : ℤ} (h : a ≠ 0) : nat_abs a > 0 :=
(eq_zero_or_pos _).resolve_left $ mt eq_zero_of_nat_abs_eq_zero h
lemma nat_abs_zero : nat_abs (0 : int) = (0 : nat) := rfl
lemma nat_abs_one : nat_abs (1 : int) = (1 : nat) := rfl
lemma nat_abs_mul_self : Π {a : ℤ}, ↑(nat_abs a * nat_abs a) = a * a
| (of_nat m) := rfl
| -[1+ m'] := rfl
@[simp] lemma nat_abs_neg (a : ℤ) : nat_abs (-a) = nat_abs a :=
by {cases a with n n, cases n; refl, refl}
lemma nat_abs_eq : Π (a : ℤ), a = nat_abs a ∨ a = -(nat_abs a)
| (of_nat m) := or.inl rfl
| -[1+ m'] := or.inr rfl
lemma eq_coe_or_neg (a : ℤ) : ∃n : ℕ, a = n ∨ a = -n := ⟨_, nat_abs_eq a⟩
/- sign -/
def sign : ℤ → ℤ
| (n+1:ℕ) := 1
| 0 := 0
| -[1+ n] := -1
@[simp] theorem sign_zero : sign 0 = 0 := rfl
@[simp] theorem sign_one : sign 1 = 1 := rfl
@[simp] theorem sign_neg_one : sign (-1) = -1 := rfl
/- Quotient and remainder -/
-- There are three main conventions for integer division,
-- referred here as the E, F, T rounding conventions.
-- All three pairs satisfy the identity x % y + (x / y) * y = x
-- unconditionally.
-- E-rounding: This pair satisfies 0 ≤ mod x y < nat_abs y for y ≠ 0
protected def div : ℤ → ℤ → ℤ
| (m : ℕ) (n : ℕ) := of_nat (m / n)
| (m : ℕ) -[1+ n] := -of_nat (m / succ n)
| -[1+ m] 0 := 0
| -[1+ m] (n+1:ℕ) := -[1+ m / succ n]
| -[1+ m] -[1+ n] := of_nat (succ (m / succ n))
protected def mod : ℤ → ℤ → ℤ
| (m : ℕ) n := (m % nat_abs n : ℕ)
| -[1+ m] n := sub_nat_nat (nat_abs n) (succ (m % nat_abs n))
-- F-rounding: This pair satisfies fdiv x y = floor (x / y)
def fdiv : ℤ → ℤ → ℤ
| 0 _ := 0
| (m : ℕ) (n : ℕ) := of_nat (m / n)
| (m+1:ℕ) -[1+ n] := -[1+ m / succ n]
| -[1+ m] 0 := 0
| -[1+ m] (n+1:ℕ) := -[1+ m / succ n]
| -[1+ m] -[1+ n] := of_nat (succ m / succ n)
def fmod : ℤ → ℤ → ℤ
| 0 _ := 0
| (m : ℕ) (n : ℕ) := of_nat (m % n)
| (m+1:ℕ) -[1+ n] := sub_nat_nat (m % succ n) n
| -[1+ m] (n : ℕ) := sub_nat_nat n (succ (m % n))
| -[1+ m] -[1+ n] := -of_nat (succ m % succ n)
-- T-rounding: This pair satisfies quot x y = round_to_zero (x / y)
def quot : ℤ → ℤ → ℤ
| (of_nat m) (of_nat n) := of_nat (m / n)
| (of_nat m) -[1+ n] := -of_nat (m / succ n)
| -[1+ m] (of_nat n) := -of_nat (succ m / n)
| -[1+ m] -[1+ n] := of_nat (succ m / succ n)
def rem : ℤ → ℤ → ℤ
| (of_nat m) (of_nat n) := of_nat (m % n)
| (of_nat m) -[1+ n] := of_nat (m % succ n)
| -[1+ m] (of_nat n) := -of_nat (succ m % n)
| -[1+ m] -[1+ n] := -of_nat (succ m % succ n)
instance : has_div ℤ := ⟨int.div⟩
instance : has_mod ℤ := ⟨int.mod⟩
/- gcd -/
def gcd (m n : ℤ) : ℕ := gcd (nat_abs m) (nat_abs n)
/-- Relator between integers and pairs of natural numbers -/
inductive rel_int_nat_nat : ℤ → ℕ × ℕ → Prop
| pos : ∀{m p}, rel_int_nat_nat (of_nat p) (m + p, m)
| neg : ∀{m n}, rel_int_nat_nat (neg_succ_of_nat n) (m, m + n + 1)
protected lemma rel_sub_nat_nat {a b : ℕ} : rel_int_nat_nat (sub_nat_nat a b) (a, b) :=
sub_nat_nat_elim a b (λa b i, rel_int_nat_nat i (a, b))
(assume i n, rel_int_nat_nat.pos) (assume i n, rel_int_nat_nat.neg)
instance right_total_rel_int_nat_nat : relator.right_total rel_int_nat_nat
| (n, m) := ⟨_, int.rel_sub_nat_nat⟩
instance left_total_rel_int_nat_nat : relator.left_total rel_int_nat_nat
| (of_nat n) := ⟨(0 + n, 0), rel_int_nat_nat.pos⟩
| (neg_succ_of_nat n) := ⟨(0, 0 + n + 1), rel_int_nat_nat.neg⟩
instance bi_total_rel_int_nat_nat : relator.bi_total rel_int_nat_nat :=
⟨int.left_total_rel_int_nat_nat, int.right_total_rel_int_nat_nat⟩
protected lemma rel_neg_of_nat {m} : ∀{n}, rel_int_nat_nat (neg_of_nat n) (m, m + n)
| 0 := rel_int_nat_nat.pos
| (nat.succ n) := rel_int_nat_nat.neg
protected lemma rel_eq : (rel_int_nat_nat ⇒ (rel_int_nat_nat ⇒ iff))
eq (λa b, a.1 + b.2 = b.1 + a.2)
| ._ ._ (@rel_int_nat_nat.pos m p) ._ ._ (@rel_int_nat_nat.pos m' p') :=
calc of_nat p = of_nat p'
↔ (m + m') + p = (m + m') + p' : by rw [of_nat_eq_of_nat_iff, add_left_cancel_iff]
... ↔ (m + p) + m' = (m' + p') + m : by simp
| ._ ._ (@rel_int_nat_nat.pos m p) ._ ._ (@rel_int_nat_nat.neg m' n') :=
calc of_nat p = -[1+ n'] ↔ (m' + m) + (n' + p + 1) = (m' + m) + 0 :
begin rw [add_left_cancel_iff], apply iff.intro, repeat {intro, contradiction} end
... ↔ (m + p) + (m' + n' + 1) = m' + m : by simp
| ._ ._ (@rel_int_nat_nat.neg m n) ._ ._ (@rel_int_nat_nat.pos m' p') :=
calc -[1+ n] = of_nat p' ↔ (m + m') + 0 = (m + m') + (n + p' + 1) :
begin rw [add_left_cancel_iff], apply iff.intro, repeat {intro, contradiction} end
... ↔ m + m' = m' + p' + (m + n + 1) : by simp
| ._ ._ (@rel_int_nat_nat.neg m n) ._ ._ (@rel_int_nat_nat.neg m' n') :=
calc -[1+ n] = -[1+ n'] ↔ (m + m' + 1) + n' = (m + m' + 1) + n :
by rw [neg_succ_of_nat_inj_iff, add_left_cancel_iff, eq_comm]
... ↔ m + (m' + n' + 1) = m' + (m + n + 1) : by simp
/- should this be more general, i.e. ∀{n}, rel_int_nat_nat 0 (n, n) ? -/
protected lemma rel_zero : rel_int_nat_nat 0 (0, 0) :=
rel_int_nat_nat.pos
protected lemma rel_one : rel_int_nat_nat 1 (1, 0) :=
rel_int_nat_nat.pos
protected lemma rel_neg : (rel_int_nat_nat ⇒ rel_int_nat_nat) has_neg.neg (λa, (a.2, a.1))
| ._ ._ (@rel_int_nat_nat.pos m p) := int.rel_neg_of_nat
| ._ ._ (@rel_int_nat_nat.neg m n) := rel_int_nat_nat.pos
protected lemma rel_add : (rel_int_nat_nat ⇒ (rel_int_nat_nat ⇒ rel_int_nat_nat))
has_add.add (λa b, (a.1 + b.1, a.2 + b.2))
| ._ ._ (@rel_int_nat_nat.pos m p) ._ ._ (@rel_int_nat_nat.pos m' p') :=
have eq : m + p + (m' + p') = m + m' + (p + p'),
by simp,
show rel_int_nat_nat (of_nat (p + p')) (m + p + (m' + p'), m + m'),
begin rw [eq], apply rel_int_nat_nat.pos end
| ._ ._ (@rel_int_nat_nat.pos m p) ._ ._ (@rel_int_nat_nat.neg m' n') :=
have eq1 : m + p + m' = p + (m + m'),
by simp,
have eq2 : m + (m' + n' + 1) = (n' + 1) + (m + m'),
by simp,
show rel_int_nat_nat (sub_nat_nat p (n' + 1)) (m + p + m', m + (m' + n' + 1)),
begin
rw [eq1, eq2, (sub_nat_nat_add_add _ _ (m + m')).symm],
apply int.rel_sub_nat_nat
end
| ._ ._ (@rel_int_nat_nat.neg m n) ._ ._ (@rel_int_nat_nat.pos m' p') :=
have eq1 : m + (m' + p') = p' + (m + m'),
by simp,
have eq2 : (m + n + 1) + m' = (n + 1) + (m + m'),
by simp,
show rel_int_nat_nat (sub_nat_nat p' (n + 1)) (m + (m' + p'), (m + n + 1) + m'),
begin
rw [eq1, eq2, (sub_nat_nat_add_add _ _ (m + m')).symm],
apply int.rel_sub_nat_nat
end
| ._ ._ (@rel_int_nat_nat.neg m n) ._ ._ (@rel_int_nat_nat.neg m' n') :=
have eq : (m + n + 1) + (m' + n' + 1) = (m + m') + (n + n' + 1) + 1,
by simp,
show rel_int_nat_nat -[1+ (n + n' + 1)] (m + m', (m + n + 1) + (m' + n' + 1)),
begin rw [eq], apply rel_int_nat_nat.neg end
protected lemma rel_mul : (rel_int_nat_nat ⇒ (rel_int_nat_nat ⇒ rel_int_nat_nat))
has_mul.mul (λa b, (a.1 * b.1 + a.2 * b.2, a.1 * b.2 + a.2 * b.1))
| ._ ._ (@rel_int_nat_nat.pos m p) ._ ._ (@rel_int_nat_nat.pos m' p') :=
have e : (m + p) * (m' + p') + m * m' = (m + p) * m' + m * (m' + p') + p * p',
by simp [mul_add, add_mul],
show rel_int_nat_nat (of_nat (p * p'))
((m + p) * (m' + p') + m * m', (m + p) * m' + m * (m' + p')),
begin rw [e], exact rel_int_nat_nat.pos end
| ._ ._ (@rel_int_nat_nat.pos m p) ._ ._ (@rel_int_nat_nat.neg m' n') :=
have e : (m + p) * (m' + n' + 1) + m * m' = (m + p) * m' + m * (m' + n' + 1) + (p * (n' + 1)),
by simp [mul_add, add_mul],
show rel_int_nat_nat (of_nat p * -[1+ n'])
((m + p) * m' + m * (m' + n' + 1), (m + p) * (m' + n' + 1) + m * m'),
begin rw [e], exact int.rel_neg_of_nat end
| ._ ._ (@rel_int_nat_nat.neg m n) ._ ._ (@rel_int_nat_nat.pos m' p') :=
have e : m * m' + (m + n + 1) * (m' + p') = m * (m' + p') + (m + n + 1) * m' + ((n + 1) * p'),
by simp [mul_add, add_mul],
show rel_int_nat_nat (-[1+ n] * of_nat p')
(m * (m' + p') + (m + n + 1) * m', m * m' + (m + n + 1) * (m' + p')),
begin rw [e], exact int.rel_neg_of_nat end
| ._ ._ (@rel_int_nat_nat.neg m n) ._ ._ (@rel_int_nat_nat.neg m' n') :=
have e : m * m' + (m + n + 1) * (m' + n' + 1) =
m * (m' + n' + 1) + (m + n + 1) * m' + ((n + 1) * (n' + 1)),
by simp [mul_add, add_mul],
show rel_int_nat_nat (-[1+ n] * -[1+ n'])
(m * m' + (m + n + 1) * (m' + n' + 1), m * (m' + n' + 1) + (m + n + 1) * m'),
begin rw [e], exact rel_int_nat_nat.pos end
/-
int is a ring
-/
protected meta def transfer_core : tactic unit := do
transfer.transfer [`relator.rel_forall_of_total, `relator.rel_not,
`int.rel_eq, `int.rel_zero, `int.rel_one,
`int.rel_add, `int.rel_neg, `int.rel_mul]
protected meta def transfer (distrib := tt) : tactic unit :=
if distrib then `[int.transfer_core, simp [add_mul, mul_add]]
else `[int.transfer_core, simp]
instance : comm_ring int :=
{ add := int.add,
add_assoc := by int.transfer,
zero := int.zero,
zero_add := by int.transfer,
add_zero := by int.transfer,
neg := int.neg,
add_left_neg := by int.transfer,
add_comm := by int.transfer,
mul := int.mul,
mul_assoc := by int.transfer tt,
one := int.one,
one_mul := by int.transfer,
mul_one := by int.transfer,
left_distrib := by int.transfer tt,
right_distrib := by int.transfer tt,
mul_comm := by int.transfer}
/- Extra instances to short-circuit type class resolution -/
instance : has_sub int := by apply_instance
instance : add_comm_monoid int := by apply_instance
instance : add_monoid int := by apply_instance
instance : monoid int := by apply_instance
instance : comm_monoid int := by apply_instance
instance : comm_semigroup int := by apply_instance
instance : semigroup int := by apply_instance
instance : add_comm_semigroup int := by apply_instance
instance : add_semigroup int := by apply_instance
instance : comm_semiring int := by apply_instance
instance : semiring int := by apply_instance
instance : ring int := by apply_instance
instance : distrib int := by apply_instance
instance : zero_ne_one_class ℤ :=
{ zero := 0, one := 1, zero_ne_one := by int.transfer }
lemma of_nat_sub {n m : ℕ} (h : m ≤ n) : of_nat (n - m) = of_nat n - of_nat m :=
show of_nat (n - m) = of_nat n + neg_of_nat m, from match m, h with
| 0, h := rfl
| succ m, h := show of_nat (n - succ m) = sub_nat_nat n (succ m),
by delta sub_nat_nat; rw sub_eq_zero_of_le h; refl
end
lemma neg_succ_of_nat_coe' (n : ℕ) : -[1+ n] = -↑n - 1 :=
by rw [sub_eq_add_neg, ← neg_add]; refl
protected lemma coe_nat_sub {n m : ℕ} : n ≤ m → (↑(m - n) : ℤ) = ↑m - ↑n := of_nat_sub
protected lemma sub_nat_nat_eq_coe {m n : ℕ} : sub_nat_nat m n = ↑m - ↑n :=
sub_nat_nat_elim m n (λm n i, i = ↑m - ↑n)
(λi n, by simp [int.coe_nat_add]; refl)
(λi n, by simp [int.coe_nat_add, int.coe_nat_one, int.neg_succ_of_nat_eq];
apply congr_arg; rw[add_left_comm]; simp)
def to_nat : ℤ → ℕ
| (n : ℕ) := n
| -[1+ n] := 0
theorem to_nat_sub (m n : ℕ) : to_nat (m - n) = m - n :=
by rw [← int.sub_nat_nat_eq_coe]; exact sub_nat_nat_elim m n
(λm n i, to_nat i = m - n)
(λi n, by rw [nat.add_sub_cancel_left]; refl)
(λi n, by rw [add_assoc, nat.sub_eq_zero_of_le (nat.le_add_right _ _)]; refl)
-- Since mod x y is always nonnegative when y ≠ 0, we can make a nat version of it
def nat_mod (m n : ℤ) : ℕ := (m % n).to_nat
theorem sign_mul_nat_abs : ∀ (a : ℤ), sign a * nat_abs a = a
| (n+1:ℕ) := one_mul _
| 0 := rfl
| -[1+ n] := (neg_eq_neg_one_mul _).symm
end int
|
83b5cdb7aa49fcfe2f07bec359448f008c624737 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/data/mv_polynomial/equiv.lean | 87397587ca0c05a008d8d57d2893bec3561ae7ba | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 13,229 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import data.mv_polynomial.rename
import data.equiv.fin
import data.polynomial.algebra_map
/-!
# Equivalences between polynomial rings
This file establishes a number of equivalences between polynomial rings,
based on equivalences between the underlying types.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[comm_semiring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `mv_polynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : mv_polynomial σ R`
## Tags
equivalence, isomorphism, morphism, ring hom, hom
-/
noncomputable theory
open_locale classical big_operators
open set function finsupp add_monoid_algebra
universes u v w x
variables {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
namespace mv_polynomial
variables {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section equiv
variables (R) [comm_semiring R]
/-- The algebra isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps]
def pempty_alg_equiv : mv_polynomial pempty R ≃ₐ[R] R :=
{ to_fun := mv_polynomial.eval₂ (ring_hom.id _) $ pempty.elim,
inv_fun := C,
left_inv := is_id (C.comp (eval₂_hom (ring_hom.id _) pempty.elim))
(assume a : R, by { dsimp, rw [eval₂_C], refl }) (assume a, a.elim),
right_inv := λ r, eval₂_C _ _ _,
map_mul' := λ _ _, eval₂_mul _ _,
map_add' := λ _ _, eval₂_add _ _,
commutes' := λ _, by rw [mv_polynomial.algebra_map_eq]; simp }
/-- The ring isomorphism between multivariable polynomials in no variables and the ground ring. -/
@[simps]
def pempty_ring_equiv : mv_polynomial pempty R ≃+* R :=
(pempty_alg_equiv R).to_ring_equiv
/--
The ring isomorphism between multivariable polynomials in a single variable and
polynomials over the ground ring.
-/
@[simps]
def punit_alg_equiv : mv_polynomial punit R ≃ₐ[R] polynomial R :=
{ to_fun := eval₂ polynomial.C (λu:punit, polynomial.X),
inv_fun := polynomial.eval₂ mv_polynomial.C (X punit.star),
left_inv :=
begin
let f : polynomial R →+* mv_polynomial punit R :=
ring_hom.of (polynomial.eval₂ mv_polynomial.C (X punit.star)),
let g : mv_polynomial punit R →+* polynomial R :=
ring_hom.of (eval₂ polynomial.C (λu:punit, polynomial.X)),
show ∀ p, f.comp g p = p,
apply is_id,
{ assume a, dsimp, rw [eval₂_C, polynomial.eval₂_C] },
{ rintros ⟨⟩, dsimp, rw [eval₂_X, polynomial.eval₂_X] }
end,
right_inv := assume p, polynomial.induction_on p
(assume a, by rw [polynomial.eval₂_C, mv_polynomial.eval₂_C])
(assume p q hp hq, by rw [polynomial.eval₂_add, mv_polynomial.eval₂_add, hp, hq])
(assume p n hp,
by rw [polynomial.eval₂_mul, polynomial.eval₂_pow, polynomial.eval₂_X, polynomial.eval₂_C,
eval₂_mul, eval₂_C, eval₂_pow, eval₂_X]),
map_mul' := λ _ _, eval₂_mul _ _,
map_add' := λ _ _, eval₂_add _ _,
commutes' := λ _, eval₂_C _ _ _}
section map
variables {R} (σ)
/-- If `e : A ≃+* B` is an isomorphism of rings, then so is `map e`. -/
@[simps apply]
def map_equiv [comm_semiring S₁] [comm_semiring S₂] (e : S₁ ≃+* S₂) :
mv_polynomial σ S₁ ≃+* mv_polynomial σ S₂ :=
{ to_fun := map (e : S₁ →+* S₂),
inv_fun := map (e.symm : S₂ →+* S₁),
left_inv := λ p,
have (e.symm : S₂ →+* S₁).comp ↑e = ring_hom.id _ := ring_hom.ext e.symm_apply_apply,
by rw [map_map, this, map_id],
right_inv := assume p,
have (e : S₁ →+* S₂).comp ↑e.symm = ring_hom.id _ := ring_hom.ext e.apply_symm_apply,
by rw [map_map, this, map_id],
..map (e : S₁ →+* S₂) }
@[simp] lemma map_equiv_refl :
map_equiv σ (ring_equiv.refl R) = ring_equiv.refl _ :=
ring_equiv.ext map_id
@[simp] lemma map_equiv_symm [comm_semiring S₁] [comm_semiring S₂] (e : S₁ ≃+* S₂) :
(map_equiv σ e).symm = map_equiv σ e.symm := rfl
@[simp] lemma map_equiv_trans [comm_semiring S₁] [comm_semiring S₂] [comm_semiring S₃]
(e : S₁ ≃+* S₂) (f : S₂ ≃+* S₃) :
(map_equiv σ e).trans (map_equiv σ f) = map_equiv σ (e.trans f) :=
ring_equiv.ext (map_map e f)
variables {A₁ A₂ A₃ : Type*} [comm_semiring A₁] [comm_semiring A₂] [comm_semiring A₃]
variables [algebra R A₁] [algebra R A₂] [algebra R A₃]
/-- If `e : A ≃ₐ[R] B` is an isomorphism of `R`-algebras, then so is `map e`. -/
def map_alg_equiv (e : A₁ ≃ₐ[R] A₂) :
mv_polynomial σ A₁ ≃ₐ[R] mv_polynomial σ A₂ :=
{ commutes' := λ r, begin
dsimp,
have h₁ : algebra_map R (mv_polynomial σ A₁) r = C (algebra_map R A₁ r) := rfl,
have h₂ : algebra_map R (mv_polynomial σ A₂) r = C (algebra_map R A₂ r) := rfl,
rw [h₁, h₂, map, eval₂_hom_C, ring_hom.comp_apply,
ring_equiv.coe_to_ring_hom, alg_equiv.coe_ring_equiv, alg_equiv.commutes],
end,
..(map_equiv σ ↑e) }
@[simp] lemma map_alg_equiv_apply (e : A₁ ≃ₐ[R] A₂) (x : mv_polynomial σ A₁) :
map_alg_equiv σ e x = map ↑e x := rfl
@[simp] lemma map_alg_equiv_refl :
map_alg_equiv σ (alg_equiv.refl : A₁ ≃ₐ[R] A₁) = alg_equiv.refl :=
alg_equiv.ext map_id
@[simp] lemma map_alg_equiv_symm (e : A₁ ≃ₐ[R] A₂) :
(map_alg_equiv σ e).symm = map_alg_equiv σ e.symm := rfl
@[simp] lemma map_alg_equiv_trans (e : A₁ ≃ₐ[R] A₂) (f : A₂ ≃ₐ[R] A₃) :
(map_alg_equiv σ e).trans (map_alg_equiv σ f) = map_alg_equiv σ (e.trans f) :=
alg_equiv.ext (map_map e f)
end map
section
variables (S₁ S₂ S₃)
/--
The function from multivariable polynomials in a sum of two types,
to multivariable polynomials in one of the types,
with coefficents in multivariable polynomials in the other type.
See `sum_ring_equiv` for the ring isomorphism.
-/
def sum_to_iter : mv_polynomial (S₁ ⊕ S₂) R →+* mv_polynomial S₁ (mv_polynomial S₂ R) :=
eval₂_hom (C.comp C) (λbc, sum.rec_on bc X (C ∘ X))
instance is_semiring_hom_sum_to_iter : is_semiring_hom (sum_to_iter R S₁ S₂) :=
eval₂.is_semiring_hom _ _
@[simp]
lemma sum_to_iter_C (a : R) : sum_to_iter R S₁ S₂ (C a) = C (C a) :=
eval₂_C _ _ a
@[simp]
lemma sum_to_iter_Xl (b : S₁) : sum_to_iter R S₁ S₂ (X (sum.inl b)) = X b :=
eval₂_X _ _ (sum.inl b)
@[simp]
lemma sum_to_iter_Xr (c : S₂) : sum_to_iter R S₁ S₂ (X (sum.inr c)) = C (X c) :=
eval₂_X _ _ (sum.inr c)
/--
The function from multivariable polynomials in one type,
with coefficents in multivariable polynomials in another type,
to multivariable polynomials in the sum of the two types.
See `sum_ring_equiv` for the ring isomorphism.
-/
def iter_to_sum : mv_polynomial S₁ (mv_polynomial S₂ R) →+* mv_polynomial (S₁ ⊕ S₂) R :=
eval₂_hom (ring_hom.of (eval₂ C (X ∘ sum.inr))) (X ∘ sum.inl)
lemma iter_to_sum_C_C (a : R) : iter_to_sum R S₁ S₂ (C (C a)) = C a :=
eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
lemma iter_to_sum_X (b : S₁) : iter_to_sum R S₁ S₂ (X b) = X (sum.inl b) :=
eval₂_X _ _ _
lemma iter_to_sum_C_X (c : S₂) : iter_to_sum R S₁ S₂ (C (X c)) = X (sum.inr c) :=
eq.trans (eval₂_C _ _ (X c)) (eval₂_X _ _ _)
/-- A helper function for `sum_ring_equiv`. -/
@[simps]
def mv_polynomial_equiv_mv_polynomial [comm_semiring S₃]
(f : mv_polynomial S₁ R →+* mv_polynomial S₂ S₃)
(g : mv_polynomial S₂ S₃ →+* mv_polynomial S₁ R)
(hfgC : ∀a, f (g (C a)) = C a)
(hfgX : ∀n, f (g (X n)) = X n)
(hgfC : ∀a, g (f (C a)) = C a)
(hgfX : ∀n, g (f (X n)) = X n) :
mv_polynomial S₁ R ≃+* mv_polynomial S₂ S₃ :=
{ to_fun := f, inv_fun := g,
left_inv := is_id (ring_hom.comp _ _) hgfC hgfX,
right_inv := is_id (ring_hom.comp _ _) hfgC hfgX,
map_mul' := f.map_mul,
map_add' := f.map_add }
/--
The ring isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficents in multivariable polynomials in the other type.
-/
def sum_ring_equiv : mv_polynomial (S₁ ⊕ S₂) R ≃+* mv_polynomial S₁ (mv_polynomial S₂ R) :=
begin
apply @mv_polynomial_equiv_mv_polynomial R (S₁ ⊕ S₂) _ _ _ _
(sum_to_iter R S₁ S₂) (iter_to_sum R S₁ S₂),
{ assume p,
convert hom_eq_hom ((sum_to_iter R S₁ S₂).comp ((iter_to_sum R S₁ S₂).comp C)) C _ _ p,
{ assume a, dsimp, rw [iter_to_sum_C_C R S₁ S₂, sum_to_iter_C R S₁ S₂] },
{ assume c, dsimp, rw [iter_to_sum_C_X R S₁ S₂, sum_to_iter_Xr R S₁ S₂] } },
{ assume b, rw [iter_to_sum_X R S₁ S₂, sum_to_iter_Xl R S₁ S₂] },
{ assume a, rw [sum_to_iter_C R S₁ S₂, iter_to_sum_C_C R S₁ S₂] },
{ assume n, cases n with b c,
{ rw [sum_to_iter_Xl, iter_to_sum_X] },
{ rw [sum_to_iter_Xr, iter_to_sum_C_X] } },
end
/--
The algebra isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficents in multivariable polynomials in the other type.
-/
def sum_alg_equiv : mv_polynomial (S₁ ⊕ S₂) R ≃ₐ[R]
mv_polynomial S₁ (mv_polynomial S₂ R) :=
{ commutes' := begin
intro r,
have A : algebra_map R (mv_polynomial S₁ (mv_polynomial S₂ R)) r = (C (C r) : _), by refl,
have B : algebra_map R (mv_polynomial (S₁ ⊕ S₂) R) r = C r, by refl,
simp only [sum_ring_equiv, sum_to_iter_C, mv_polynomial_equiv_mv_polynomial_apply,
ring_equiv.to_fun_eq_coe, A, B],
end,
..sum_ring_equiv R S₁ S₂ }
section
-- this speeds up typeclass search in the lemma below
local attribute [instance, priority 2000] is_scalar_tower.right
/--
The algebra isomorphism between multivariable polynomials in `option S₁` and
polynomials with coefficients in `mv_polynomial S₁ R`.
-/
def option_equiv_left : mv_polynomial (option S₁) R ≃ₐ[R] polynomial (mv_polynomial S₁ R) :=
(rename_equiv R $ (equiv.option_equiv_sum_punit.{0} S₁).trans (equiv.sum_comm _ _))
.trans $
(sum_alg_equiv R _ _).trans $
(punit_alg_equiv (mv_polynomial S₁ R)).restrict_scalars R
end
/--
The algebra isomorphism between multivariable polynomials in `option S₁` and
multivariable polynomials with coefficients in polynomials.
-/
def option_equiv_right : mv_polynomial (option S₁) R ≃ₐ[R] mv_polynomial S₁ (polynomial R) :=
(rename_equiv R $ equiv.option_equiv_sum_punit.{0} S₁).trans $
(sum_alg_equiv R S₁ unit).trans $
map_alg_equiv _ (punit_alg_equiv R)
/--
The algebra isomorphism between multivariable polynomials in `fin (n + 1)` and
polynomials over multivariable polynomials in `fin n`.
-/
def fin_succ_equiv (n : ℕ) :
mv_polynomial (fin (n + 1)) R ≃ₐ[R] polynomial (mv_polynomial (fin n) R) :=
(rename_equiv R (fin_succ_equiv n)).trans
(option_equiv_left R (fin n))
lemma fin_succ_equiv_eq (n : ℕ) :
(fin_succ_equiv R n : mv_polynomial (fin (n + 1)) R →+* polynomial (mv_polynomial (fin n) R)) =
eval₂_hom (polynomial.C.comp (C : R →+* mv_polynomial (fin n) R))
(λ i : fin (n+1), fin.cases polynomial.X (λ k, polynomial.C (X k)) i) :=
begin
apply ring_hom_ext,
{ intro r,
dsimp [ring_equiv.coe_to_ring_hom, fin_succ_equiv, option_equiv_left, sum_alg_equiv,
sum_ring_equiv],
simp only [sum_to_iter_C, eval₂_C, rename_C, ring_hom.coe_comp] },
{ intro i,
dsimp [fin_succ_equiv, option_equiv_left, sum_alg_equiv, sum_ring_equiv],
refine fin.cases _ (λ _, _) i,
{ simp only [fin.cases_zero, sum.swap, rename_X, equiv.option_equiv_sum_punit_none,
equiv.sum_comm_apply, rename_equiv_apply, comp_app, sum_to_iter_Xl, equiv.coe_trans,
fin_succ_equiv_zero, eval₂_X], },
{ simp only [equiv.option_equiv_sum_punit_some, sum.swap, fin.cases_succ, rename_X,
equiv.sum_comm_apply, sum_to_iter_Xr, comp_app, eval₂_C,
equiv.coe_trans, fin_succ_equiv_succ, eval₂_X]} }
end
@[simp] lemma fin_succ_equiv_apply (n : ℕ) (p : mv_polynomial (fin (n + 1)) R) :
fin_succ_equiv R n p =
eval₂_hom (polynomial.C.comp (C : R →+* mv_polynomial (fin n) R))
(λ i : fin (n+1), fin.cases polynomial.X (λ k, polynomial.C (X k)) i) p :=
by { rw ← fin_succ_equiv_eq, refl }
lemma fin_succ_equiv_comp_C_eq_C {R : Type u} [comm_semiring R] (n : ℕ) :
(↑(mv_polynomial.fin_succ_equiv R n).symm : polynomial (mv_polynomial (fin n) R) →+* _).comp
((polynomial.C).comp (mv_polynomial.C))
= (mv_polynomial.C : R →+* mv_polynomial (fin n.succ) R) :=
begin
refine ring_hom.ext (λ x, _),
rw ring_hom.comp_apply,
refine (mv_polynomial.fin_succ_equiv R n).injective
(trans ((mv_polynomial.fin_succ_equiv R n).apply_symm_apply _) _),
simp only [mv_polynomial.fin_succ_equiv_apply, mv_polynomial.eval₂_hom_C],
end
end
end equiv
end mv_polynomial
|
835febb221f0720947c21e2f3ac5d36b2c08a4b5 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/coeIssue2.lean | 1878116aa78b52deae8331dc6aab2ae144f84345 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 830 | lean | structure A :=
(a : Nat)
structure B :=
(a : Nat)
structure C :=
(a : Nat)
instance : Coe A B := ⟨fun s => ⟨s.1⟩⟩
instance : Coe A C := ⟨fun s => ⟨s.1⟩⟩
def f {α} (a b : α) := a
def forceB {α} (b : B) (a : α) := a
def forceC {α} (c : C) (a : α) := a
def forceA {α} (a : A) (o : α) := o
def f1 (x : _) (y : _) (z : _) :=
let a1 := f x y;
let a2 := f y z;
forceB x a1 -- works
def f2 (x : _) (y : _) (z : _) :=
let a1 := f x ↑y;
let a2 := f ↑y z;
forceB x (forceC z (forceA y (a1, a2))) -- works because we manually added the coercions above
#exit
def f3 (x : _) (y : _) (z : _) :=
let a1 := f x y;
let a2 := f y z;
/- Fails because we "missed" the opportunity to insert coercions around `y`.
I think we should **not** support this kind of example. -/
forceB x (forceC z (forceA y (a1, a2)))
|
74352fa3000dcec4cd068e4044fd943bcfd7fa04 | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/data/finset/basic.lean | 074175f8b3498c1a7fae362c9096091e16564bf4 | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 125,476 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Minchao Wu, Mario Carneiro
-/
import data.multiset.finset_ops
import tactic.apply
import tactic.monotonicity
import tactic.nth_rewrite
/-!
# Finite sets
Terms of type `finset α` are one way of talking about finite subsets of `α` in mathlib.
Below, `finset α` is defined as a structure with 2 fields:
1. `val` is a `multiset α` of elements;
2. `nodup` is a proof that `val` has no duplicates.
Finsets in Lean are constructive in that they have an underlying `list` that enumerates their
elements. In particular, any function that uses the data of the underlying list cannot depend on its
ordering. This is handled on the `multiset` level by multiset API, so in most cases one needn't
worry about it explicitly.
Finsets give a basic foundation for defining finite sums and products over types:
1. `∑ i in (s : finset α), f i`;
2. `∏ i in (s : finset α), f i`.
Lean refers to these operations as `big_operator`s.
More information can be found in `algebra.big_operators.basic`.
Finsets are directly used to define fintypes in Lean.
A `fintype α` instance for a type `α` consists of
a universal `finset α` containing every term of `α`, called `univ`. See `data.fintype.basic`.
There is also `univ'`, the noncomputable partner to `univ`,
which is defined to be `α` as a finset if `α` is finite,
and the empty finset otherwise. See `data.fintype.basic`.
## Main declarations
### Main definitions
* `finset`: Defines a type for the finite subsets of `α`.
Constructing a `finset` requires two pieces of data: `val`, a `multiset α` of elements,
and `nodup`, a proof that `val` has no duplicates.
* `finset.has_mem`: Defines membership `a ∈ (s : finset α)`.
* `finset.has_coe`: Provides a coercion `s : finset α` to `s : set α`.
* `finset.has_coe_to_sort`: Coerce `s : finset α` to the type of all `x ∈ s`.
* `finset.induction_on`: Induction on finsets. To prove a proposition about an arbitrary `finset α`,
it suffices to prove it for the empty finset, and to show that if it holds for some `finset α`,
then it holds for the finset obtained by inserting a new element.
* `finset.choose`: Given a proof `h` of existence and uniqueness of a certain element
satisfying a predicate, `choose s h` returns the element of `s` satisfying that predicate.
* `finset.card`: `card s : ℕ` returns the cardinalilty of `s : finset α`.
The API for `card`'s interaction with operations on finsets is extensive.
TODO: The noncomputable sister `fincard` is about to be added into mathlib.
### Finset constructions
* `singleton`: Denoted by `{a}`; the finset consisting of one element.
* `finset.empty`: Denoted by `∅`. The finset associated to any type consisting of no elements.
* `finset.range`: For any `n : ℕ`, `range n` is equal to `{0, 1, ... , n - 1} ⊆ ℕ`.
This convention is consistent with other languages and normalizes `card (range n) = n`.
Beware, `n` is not in `range n`.
* `finset.diag`: Given `s`, `diag s` is the set of pairs `(a, a)` with `a ∈ s`. See also
`finset.off_diag`: Given a finite set `s`, the off-diagonal,
`s.off_diag` is the set of pairs `(a, b)` with `a ≠ b` for `a, b ∈ s`.
* `finset.attach`: Given `s : finset α`, `attach s` forms a finset of elements of the subtype
`{a // a ∈ s}`; in other words, it attaches elements to a proof of membership in the set.
### Finsets from functions
* `finset.image`: Given a function `f : α → β`, `s.image f` is the image finset in `β`.
* `finset.map`: Given an embedding `f : α ↪ β`, `s.map f` is the image finset in `β`.
* `finset.filter`: Given a predicate `p : α → Prop`, `s.filter p` is
the finset consisting of those elements in `s` satisfying the predicate `p`.
### The lattice structure on subsets of finsets
There is a natural lattice structure on the subsets of a set.
In Lean, we use lattice notation to talk about things involving unions and intersections. See
`order.lattice`. For the lattice structure on finsets, `⊥` is called `bot` with `⊥ = ∅` and `⊤` is
called `top` with `⊤ = univ`.
* `finset.subset`: Lots of API about lattices, otherwise behaves exactly as one would expect.
* `finset.union`: Defines `s ∪ t` (or `s ⊔ t`) as the union of `s` and `t`.
See `finset.bUnion` for finite unions.
* `finset.inter`: Defines `s ∩ t` (or `s ⊓ t`) as the intersection of `s` and `t`.
TODO: `finset.bInter` for finite intersections.
* `finset.disj_union`: Given a hypothesis `h` which states that finsets `s` and `t` are disjoint,
`s.disj_union t h` is the set such that `a ∈ disj_union s t h` iff `a ∈ s` or `a ∈ t`; this does
not require decidable equality on the type `α`.
### Operations on two or more finsets
* `finset.insert` and `finset.cons`: For any `a : α`, `insert s a` returns `s ∪ {a}`. `cons s a h`
returns the same except that it requires a hypothesis stating that `a` is not already in `s`.
This does not require decidable equality on the type `α`.
* `finset.union`: see "The lattice structure on subsets of finsets"
* `finset.inter`: see "The lattice structure on subsets of finsets"
* `finset.erase`: For any `a : α`, `erase s a` returns `s` with the element `a` removed.
* `finset.sdiff`: Defines the set difference `s \ t` for finsets `s` and `t`.
* `finset.prod`: Given finsets of `α` and `β`, defines finsets of `α × β`.
For arbitrary dependent products, see `data.finset.pi`.
* `finset.sigma`: Given finsets of `α` and `β`, defines finsets of the dependent sum type `Σ α, β`
* `finset.bUnion`: Finite unions of finsets; given an indexing function `f : α → finset β` and a
`s : finset α`, `s.bUnion f` is the union of all finsets of the form `f a` for `a ∈ s`.
* `finset.bInter`: TODO: Implemement finite intersections.
### Maps constructed using finsets
* `finset.piecewise`: Given two functions `f`, `g`, `s.piecewise f g` is a function which is equal
to `f` on `s` and `g` on the complement.
### Predicates on finsets
* `disjoint`: defined via the lattice structure on finsets; two sets are disjoint if their
intersection is empty.
* `finset.nonempty`: A finset is nonempty if it has elements.
This is equivalent to saying `s ≠ ∅`. TODO: Decide on the simp normal form.
### Equivalences between finsets
* The `data.equiv` files describe a general type of equivalence, so look in there for any lemmas.
There is some API for rewriting sums and products from `s` to `t` given that `s ≃ t`.
TODO: examples
## Tags
finite sets, finset
-/
open multiset subtype nat function
variables {α : Type*} {β : Type*} {γ : Type*}
/-- `finset α` is the type of finite sets of elements of `α`. It is implemented
as a multiset (a list up to permutation) which has no duplicate elements. -/
structure finset (α : Type*) :=
(val : multiset α)
(nodup : nodup val)
namespace finset
theorem eq_of_veq : ∀ {s t : finset α}, s.1 = t.1 → s = t
| ⟨s, _⟩ ⟨t, _⟩ rfl := rfl
@[simp] theorem val_inj {s t : finset α} : s.1 = t.1 ↔ s = t :=
⟨eq_of_veq, congr_arg _⟩
@[simp] theorem erase_dup_eq_self [decidable_eq α] (s : finset α) : erase_dup s.1 = s.1 :=
erase_dup_eq_self.2 s.2
instance has_decidable_eq [decidable_eq α] : decidable_eq (finset α)
| s₁ s₂ := decidable_of_iff _ val_inj
/-! ### membership -/
instance : has_mem α (finset α) := ⟨λ a s, a ∈ s.1⟩
theorem mem_def {a : α} {s : finset α} : a ∈ s ↔ a ∈ s.1 := iff.rfl
@[simp] theorem mem_mk {a : α} {s nd} : a ∈ @finset.mk α s nd ↔ a ∈ s := iff.rfl
instance decidable_mem [h : decidable_eq α] (a : α) (s : finset α) : decidable (a ∈ s) :=
multiset.decidable_mem _ _
/-! ### set coercion -/
/-- Convert a finset to a set in the natural way. -/
instance : has_coe_t (finset α) (set α) := ⟨λ s, {x | x ∈ s}⟩
@[simp, norm_cast] lemma mem_coe {a : α} {s : finset α} : a ∈ (s : set α) ↔ a ∈ s := iff.rfl
@[simp] lemma set_of_mem {α} {s : finset α} : {a | a ∈ s} = s := rfl
@[simp] lemma coe_mem {s : finset α} (x : (s : set α)) : ↑x ∈ s := x.2
@[simp] lemma mk_coe {s : finset α} (x : (s : set α)) {h} :
(⟨x, h⟩ : (s : set α)) = x :=
subtype.coe_eta _ _
instance decidable_mem' [decidable_eq α] (a : α) (s : finset α) :
decidable (a ∈ (s : set α)) := s.decidable_mem _
/-! ### extensionality -/
theorem ext_iff {s₁ s₂ : finset α} : s₁ = s₂ ↔ ∀ a, a ∈ s₁ ↔ a ∈ s₂ :=
val_inj.symm.trans $ nodup_ext s₁.2 s₂.2
@[ext]
theorem ext {s₁ s₂ : finset α} : (∀ a, a ∈ s₁ ↔ a ∈ s₂) → s₁ = s₂ :=
ext_iff.2
@[simp, norm_cast] theorem coe_inj {s₁ s₂ : finset α} : (s₁ : set α) = s₂ ↔ s₁ = s₂ :=
set.ext_iff.trans ext_iff.symm
lemma coe_injective {α} : injective (coe : finset α → set α) :=
λ s t, coe_inj.1
/-! ### type coercion -/
/-- Coercion from a finset to the corresponding subtype. -/
instance {α : Type*} : has_coe_to_sort (finset α) := ⟨_, λ s, {x // x ∈ s}⟩
instance pi_finset_coe.can_lift (ι : Type*) (α : Π i : ι, Type*) [ne : Π i, nonempty (α i)]
(s : finset ι) :
can_lift (Π i : s, α i) (Π i, α i) :=
{ coe := λ f i, f i,
.. pi_subtype.can_lift ι α (∈ s) }
instance pi_finset_coe.can_lift' (ι α : Type*) [ne : nonempty α] (s : finset ι) :
can_lift (s → α) (ι → α) :=
pi_finset_coe.can_lift ι (λ _, α) s
instance finset_coe.can_lift (s : finset α) : can_lift α s :=
{ coe := coe,
cond := λ a, a ∈ s,
prf := λ a ha, ⟨⟨a, ha⟩, rfl⟩ }
@[simp, norm_cast] lemma coe_sort_coe (s : finset α) :
((s : set α) : Sort*) = s := rfl
/-! ### subset -/
instance : has_subset (finset α) := ⟨λ s₁ s₂, ∀ ⦃a⦄, a ∈ s₁ → a ∈ s₂⟩
theorem subset_def {s₁ s₂ : finset α} : s₁ ⊆ s₂ ↔ s₁.1 ⊆ s₂.1 := iff.rfl
@[simp] theorem subset.refl (s : finset α) : s ⊆ s := subset.refl _
theorem subset_of_eq {s t : finset α} (h : s = t) : s ⊆ t := h ▸ subset.refl _
theorem subset.trans {s₁ s₂ s₃ : finset α} : s₁ ⊆ s₂ → s₂ ⊆ s₃ → s₁ ⊆ s₃ := subset.trans
theorem superset.trans {s₁ s₂ s₃ : finset α} : s₁ ⊇ s₂ → s₂ ⊇ s₃ → s₁ ⊇ s₃ :=
λ h' h, subset.trans h h'
-- TODO: these should be global attributes, but this will require fixing other files
local attribute [trans] subset.trans superset.trans
theorem mem_of_subset {s₁ s₂ : finset α} {a : α} : s₁ ⊆ s₂ → a ∈ s₁ → a ∈ s₂ := mem_of_subset
theorem subset.antisymm {s₁ s₂ : finset α} (H₁ : s₁ ⊆ s₂) (H₂ : s₂ ⊆ s₁) : s₁ = s₂ :=
ext $ λ a, ⟨@H₁ a, @H₂ a⟩
theorem subset_iff {s₁ s₂ : finset α} : s₁ ⊆ s₂ ↔ ∀ ⦃x⦄, x ∈ s₁ → x ∈ s₂ := iff.rfl
@[simp, norm_cast] theorem coe_subset {s₁ s₂ : finset α} :
(s₁ : set α) ⊆ s₂ ↔ s₁ ⊆ s₂ := iff.rfl
@[simp] theorem val_le_iff {s₁ s₂ : finset α} : s₁.1 ≤ s₂.1 ↔ s₁ ⊆ s₂ := le_iff_subset s₁.2
instance : has_ssubset (finset α) := ⟨λa b, a ⊆ b ∧ ¬ b ⊆ a⟩
instance : partial_order (finset α) :=
{ le := (⊆),
lt := (⊂),
le_refl := subset.refl,
le_trans := @subset.trans _,
le_antisymm := @subset.antisymm _ }
theorem subset.antisymm_iff {s₁ s₂ : finset α} : s₁ = s₂ ↔ s₁ ⊆ s₂ ∧ s₂ ⊆ s₁ :=
le_antisymm_iff
@[simp] theorem le_eq_subset : ((≤) : finset α → finset α → Prop) = (⊆) := rfl
@[simp] theorem lt_eq_subset : ((<) : finset α → finset α → Prop) = (⊂) := rfl
theorem le_iff_subset {s₁ s₂ : finset α} : s₁ ≤ s₂ ↔ s₁ ⊆ s₂ := iff.rfl
theorem lt_iff_ssubset {s₁ s₂ : finset α} : s₁ < s₂ ↔ s₁ ⊂ s₂ := iff.rfl
@[simp, norm_cast] lemma coe_ssubset {s₁ s₂ : finset α} : (s₁ : set α) ⊂ s₂ ↔ s₁ ⊂ s₂ :=
show (s₁ : set α) ⊂ s₂ ↔ s₁ ⊆ s₂ ∧ ¬s₂ ⊆ s₁,
by simp only [set.ssubset_def, finset.coe_subset]
@[simp] theorem val_lt_iff {s₁ s₂ : finset α} : s₁.1 < s₂.1 ↔ s₁ ⊂ s₂ :=
and_congr val_le_iff $ not_congr val_le_iff
lemma ssubset_iff_subset_ne {s t : finset α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t :=
@lt_iff_le_and_ne _ _ s t
theorem ssubset_iff_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁ ⊂ s₂ ↔ ∃ x ∈ s₂, x ∉ s₁ :=
set.ssubset_iff_of_subset h
lemma ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : finset α} (hs₁s₂ : s₁ ⊂ s₂) (hs₂s₃ : s₂ ⊆ s₃) :
s₁ ⊂ s₃ :=
set.ssubset_of_ssubset_of_subset hs₁s₂ hs₂s₃
lemma ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : finset α} (hs₁s₂ : s₁ ⊆ s₂) (hs₂s₃ : s₂ ⊂ s₃) :
s₁ ⊂ s₃ :=
set.ssubset_of_subset_of_ssubset hs₁s₂ hs₂s₃
lemma exists_of_ssubset {s₁ s₂ : finset α} (h : s₁ ⊂ s₂) :
∃ x ∈ s₂, x ∉ s₁ :=
set.exists_of_ssubset h
/-! ### Nonempty -/
/-- The property `s.nonempty` expresses the fact that the finset `s` is not empty. It should be used
in theorem assumptions instead of `∃ x, x ∈ s` or `s ≠ ∅` as it gives access to a nice API thanks
to the dot notation. -/
protected def nonempty (s : finset α) : Prop := ∃ x:α, x ∈ s
@[simp, norm_cast] lemma coe_nonempty {s : finset α} : (s:set α).nonempty ↔ s.nonempty := iff.rfl
lemma nonempty.bex {s : finset α} (h : s.nonempty) : ∃ x:α, x ∈ s := h
lemma nonempty.mono {s t : finset α} (hst : s ⊆ t) (hs : s.nonempty) : t.nonempty :=
set.nonempty.mono hst hs
lemma nonempty.forall_const {s : finset α} (h : s.nonempty) {p : Prop} : (∀ x ∈ s, p) ↔ p :=
let ⟨x, hx⟩ := h in ⟨λ h, h x hx, λ h x hx, h⟩
/-! ### empty -/
/-- The empty finset -/
protected def empty : finset α := ⟨0, nodup_zero⟩
instance : has_emptyc (finset α) := ⟨finset.empty⟩
instance inhabited_finset : inhabited (finset α) := ⟨∅⟩
@[simp] theorem empty_val : (∅ : finset α).1 = 0 := rfl
@[simp] theorem not_mem_empty (a : α) : a ∉ (∅ : finset α) := id
@[simp] theorem not_nonempty_empty : ¬(∅ : finset α).nonempty :=
λ ⟨x, hx⟩, not_mem_empty x hx
@[simp] theorem mk_zero : (⟨0, nodup_zero⟩ : finset α) = ∅ := rfl
theorem ne_empty_of_mem {a : α} {s : finset α} (h : a ∈ s) : s ≠ ∅ :=
λ e, not_mem_empty a $ e ▸ h
theorem nonempty.ne_empty {s : finset α} (h : s.nonempty) : s ≠ ∅ :=
exists.elim h $ λ a, ne_empty_of_mem
@[simp] theorem empty_subset (s : finset α) : ∅ ⊆ s := zero_subset _
theorem eq_empty_of_forall_not_mem {s : finset α} (H : ∀x, x ∉ s) : s = ∅ :=
eq_of_veq (eq_zero_of_forall_not_mem H)
lemma eq_empty_iff_forall_not_mem {s : finset α} : s = ∅ ↔ ∀ x, x ∉ s :=
⟨by rintro rfl x; exact id, λ h, eq_empty_of_forall_not_mem h⟩
@[simp] theorem val_eq_zero {s : finset α} : s.1 = 0 ↔ s = ∅ := @val_inj _ s ∅
theorem subset_empty {s : finset α} : s ⊆ ∅ ↔ s = ∅ := subset_zero.trans val_eq_zero
theorem nonempty_of_ne_empty {s : finset α} (h : s ≠ ∅) : s.nonempty :=
exists_mem_of_ne_zero (mt val_eq_zero.1 h)
theorem nonempty_iff_ne_empty {s : finset α} : s.nonempty ↔ s ≠ ∅ :=
⟨nonempty.ne_empty, nonempty_of_ne_empty⟩
@[simp] theorem not_nonempty_iff_eq_empty {s : finset α} : ¬s.nonempty ↔ s = ∅ :=
by { rw nonempty_iff_ne_empty, exact not_not, }
theorem eq_empty_or_nonempty (s : finset α) : s = ∅ ∨ s.nonempty :=
classical.by_cases or.inl (λ h, or.inr (nonempty_of_ne_empty h))
@[simp, norm_cast] lemma coe_empty : ((∅ : finset α) : set α) = ∅ := rfl
@[simp, norm_cast] lemma coe_eq_empty {s : finset α} :
(s : set α) = ∅ ↔ s = ∅ :=
by rw [← coe_empty, coe_inj]
/-- A `finset` for an empty type is empty. -/
lemma eq_empty_of_is_empty [is_empty α] (s : finset α) : s = ∅ :=
finset.eq_empty_of_forall_not_mem is_empty_elim
/-- A `finset` for an empty type is empty. -/
lemma eq_empty_of_not_nonempty (h : ¬ nonempty α) (s : finset α) : s = ∅ :=
finset.eq_empty_of_forall_not_mem $ λ x, false.elim $ not_nonempty_iff_imp_false.1 h x
/-! ### singleton -/
/--
`{a} : finset a` is the set `{a}` containing `a` and nothing else.
This differs from `insert a ∅` in that it does not require a `decidable_eq` instance for `α`.
-/
instance : has_singleton α (finset α) := ⟨λ a, ⟨{a}, nodup_singleton a⟩⟩
@[simp] theorem singleton_val (a : α) : ({a} : finset α).1 = a ::ₘ 0 := rfl
@[simp] theorem mem_singleton {a b : α} : b ∈ ({a} : finset α) ↔ b = a := mem_singleton
theorem not_mem_singleton {a b : α} : a ∉ ({b} : finset α) ↔ a ≠ b := not_congr mem_singleton
theorem mem_singleton_self (a : α) : a ∈ ({a} : finset α) := or.inl rfl
theorem singleton_inj {a b : α} : ({a} : finset α) = {b} ↔ a = b :=
⟨λ h, mem_singleton.1 (h ▸ mem_singleton_self _), congr_arg _⟩
@[simp] theorem singleton_nonempty (a : α) : ({a} : finset α).nonempty := ⟨a, mem_singleton_self a⟩
@[simp] theorem singleton_ne_empty (a : α) : ({a} : finset α) ≠ ∅ := (singleton_nonempty a).ne_empty
@[simp, norm_cast] lemma coe_singleton (a : α) : (({a} : finset α) : set α) = {a} :=
by { ext, simp }
lemma eq_singleton_iff_unique_mem {s : finset α} {a : α} :
s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a :=
begin
split; intro t,
rw t,
refine ⟨finset.mem_singleton_self _, λ _, finset.mem_singleton.1⟩,
ext, rw finset.mem_singleton,
refine ⟨t.right _, λ r, r.symm ▸ t.left⟩
end
lemma eq_singleton_iff_nonempty_unique_mem {s : finset α} {a : α} :
s = {a} ↔ s.nonempty ∧ ∀ x ∈ s, x = a :=
begin
split,
{ intros h, subst h, simp, },
{ rintros ⟨hne, h_uniq⟩, rw eq_singleton_iff_unique_mem, refine ⟨_, h_uniq⟩,
rw ← h_uniq hne.some hne.some_spec, apply hne.some_spec, },
end
lemma singleton_iff_unique_mem (s : finset α) : (∃ a, s = {a}) ↔ ∃! a, a ∈ s :=
by simp only [eq_singleton_iff_unique_mem, exists_unique]
lemma singleton_subset_set_iff {s : set α} {a : α} :
↑({a} : finset α) ⊆ s ↔ a ∈ s :=
by rw [coe_singleton, set.singleton_subset_iff]
@[simp] lemma singleton_subset_iff {s : finset α} {a : α} :
{a} ⊆ s ↔ a ∈ s :=
singleton_subset_set_iff
@[simp] lemma subset_singleton_iff {s : finset α} {a : α} : s ⊆ {a} ↔ s = ∅ ∨ s = {a} :=
begin
split,
{ intro hs,
apply or.imp_right _ s.eq_empty_or_nonempty,
rintro ⟨t, ht⟩,
apply subset.antisymm hs,
rwa [singleton_subset_iff, ←mem_singleton.1 (hs ht)] },
rintro (rfl | rfl),
{ exact empty_subset _ },
exact subset.refl _,
end
@[simp] lemma ssubset_singleton_iff {s : finset α} {a : α} :
s ⊂ {a} ↔ s = ∅ :=
by rw [←coe_ssubset, coe_singleton, set.ssubset_singleton_iff, coe_eq_empty]
lemma eq_empty_of_ssubset_singleton {s : finset α} {x : α} (hs : s ⊂ {x}) : s = ∅ :=
ssubset_singleton_iff.1 hs
/-! ### cons -/
/-- `cons a s h` is the set `{a} ∪ s` containing `a` and the elements of `s`. It is the same as
`insert a s` when it is defined, but unlike `insert a s` it does not require `decidable_eq α`,
and the union is guaranteed to be disjoint. -/
def cons {α} (a : α) (s : finset α) (h : a ∉ s) : finset α :=
⟨a ::ₘ s.1, multiset.nodup_cons.2 ⟨h, s.2⟩⟩
@[simp] theorem mem_cons {α a s h b} : b ∈ @cons α a s h ↔ b = a ∨ b ∈ s :=
by rcases s with ⟨⟨s⟩⟩; apply list.mem_cons_iff
@[simp] theorem cons_val {a : α} {s : finset α} (h : a ∉ s) : (cons a s h).1 = a ::ₘ s.1 := rfl
@[simp] theorem mk_cons {a : α} {s : multiset α} (h : (a ::ₘ s).nodup) :
(⟨a ::ₘ s, h⟩ : finset α) = cons a ⟨s, (multiset.nodup_cons.1 h).2⟩ (multiset.nodup_cons.1 h).1 :=
rfl
@[simp] theorem nonempty_cons {a : α} {s : finset α} (h : a ∉ s) : (cons a s h).nonempty :=
⟨a, mem_cons.2 (or.inl rfl)⟩
@[simp] lemma nonempty_mk_coe : ∀ {l : list α} {hl}, (⟨↑l, hl⟩ : finset α).nonempty ↔ l ≠ []
| [] hl := by simp
| (a::l) hl := by simp [← multiset.cons_coe]
/-! ### disjoint union -/
/-- `disj_union s t h` is the set such that `a ∈ disj_union s t h` iff `a ∈ s` or `a ∈ t`.
It is the same as `s ∪ t`, but it does not require decidable equality on the type. The hypothesis
ensures that the sets are disjoint. -/
def disj_union {α} (s t : finset α) (h : ∀ a ∈ s, a ∉ t) : finset α :=
⟨s.1 + t.1, multiset.nodup_add.2 ⟨s.2, t.2, h⟩⟩
@[simp] theorem mem_disj_union {α s t h a} :
a ∈ @disj_union α s t h ↔ a ∈ s ∨ a ∈ t :=
by rcases s with ⟨⟨s⟩⟩; rcases t with ⟨⟨t⟩⟩; apply list.mem_append
/-! ### insert -/
section decidable_eq
variables [decidable_eq α]
/-- `insert a s` is the set `{a} ∪ s` containing `a` and the elements of `s`. -/
instance : has_insert α (finset α) := ⟨λ a s, ⟨_, nodup_ndinsert a s.2⟩⟩
theorem insert_def (a : α) (s : finset α) : insert a s = ⟨_, nodup_ndinsert a s.2⟩ := rfl
@[simp] theorem insert_val (a : α) (s : finset α) : (insert a s).1 = ndinsert a s.1 := rfl
theorem insert_val' (a : α) (s : finset α) : (insert a s).1 = erase_dup (a ::ₘ s.1) :=
by rw [erase_dup_cons, erase_dup_eq_self]; refl
theorem insert_val_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : (insert a s).1 = a ::ₘ s.1 :=
by rw [insert_val, ndinsert_of_not_mem h]
@[simp] theorem mem_insert {a b : α} {s : finset α} : a ∈ insert b s ↔ a = b ∨ a ∈ s := mem_ndinsert
theorem mem_insert_self (a : α) (s : finset α) : a ∈ insert a s := mem_ndinsert_self a s.1
theorem mem_insert_of_mem {a b : α} {s : finset α} (h : a ∈ s) : a ∈ insert b s :=
mem_ndinsert_of_mem h
theorem mem_of_mem_insert_of_ne {a b : α} {s : finset α} (h : b ∈ insert a s) : b ≠ a → b ∈ s :=
(mem_insert.1 h).resolve_left
@[simp] theorem cons_eq_insert {α} [decidable_eq α] (a s h) : @cons α a s h = insert a s :=
ext $ λ a, by simp
@[simp, norm_cast] lemma coe_insert (a : α) (s : finset α) :
↑(insert a s) = (insert a s : set α) :=
set.ext $ λ x, by simp only [mem_coe, mem_insert, set.mem_insert_iff]
lemma mem_insert_coe {s : finset α} {x y : α} : x ∈ insert y s ↔ x ∈ insert y (s : set α) :=
by simp
instance : is_lawful_singleton α (finset α) := ⟨λ a, by { ext, simp }⟩
@[simp] theorem insert_eq_of_mem {a : α} {s : finset α} (h : a ∈ s) : insert a s = s :=
eq_of_veq $ ndinsert_of_mem h
@[simp] theorem insert_singleton_self_eq (a : α) : ({a, a} : finset α) = {a} :=
insert_eq_of_mem $ mem_singleton_self _
theorem insert.comm (a b : α) (s : finset α) : insert a (insert b s) = insert b (insert a s) :=
ext $ λ x, by simp only [mem_insert, or.left_comm]
theorem insert_singleton_comm (a b : α) : ({a, b} : finset α) = {b, a} :=
begin
ext,
simp [or.comm]
end
@[simp] theorem insert_idem (a : α) (s : finset α) : insert a (insert a s) = insert a s :=
ext $ λ x, by simp only [mem_insert, or.assoc.symm, or_self]
@[simp] theorem insert_nonempty (a : α) (s : finset α) : (insert a s).nonempty :=
⟨a, mem_insert_self a s⟩
@[simp] theorem insert_ne_empty (a : α) (s : finset α) : insert a s ≠ ∅ :=
(insert_nonempty a s).ne_empty
section
universe u
/-!
The universe annotation is required for the following instance, possibly this is a bug in Lean. See
leanprover.zulipchat.com/#narrow/stream/113488-general/topic/strange.20error.20(universe.20issue.3F)
-/
instance {α : Type u} [decidable_eq α] (i : α) (s : finset α) :
nonempty.{u + 1} ((insert i s : finset α) : set α) :=
(finset.coe_nonempty.mpr (s.insert_nonempty i)).to_subtype
end
lemma ne_insert_of_not_mem (s t : finset α) {a : α} (h : a ∉ s) :
s ≠ insert a t :=
by { contrapose! h, simp [h] }
theorem insert_subset {a : α} {s t : finset α} : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t :=
by simp only [subset_iff, mem_insert, forall_eq, or_imp_distrib, forall_and_distrib]
theorem subset_insert (a : α) (s : finset α) : s ⊆ insert a s :=
λ b, mem_insert_of_mem
theorem insert_subset_insert (a : α) {s t : finset α} (h : s ⊆ t) : insert a s ⊆ insert a t :=
insert_subset.2 ⟨mem_insert_self _ _, subset.trans h (subset_insert _ _)⟩
lemma ssubset_iff {s t : finset α} : s ⊂ t ↔ (∃a ∉ s, insert a s ⊆ t) :=
by exact_mod_cast @set.ssubset_iff_insert α s t
lemma ssubset_insert {s : finset α} {a : α} (h : a ∉ s) : s ⊂ insert a s :=
ssubset_iff.mpr ⟨a, h, subset.refl _⟩
@[elab_as_eliminator]
lemma cons_induction {α : Type*} {p : finset α → Prop}
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α} (h : a ∉ s), p s → p (cons a s h)) : ∀ s, p s
| ⟨s, nd⟩ := multiset.induction_on s (λ _, h₁) (λ a s IH nd, begin
cases nodup_cons.1 nd with m nd',
rw [← (eq_of_veq _ : cons a (finset.mk s _) m = ⟨a ::ₘ s, nd⟩)],
{ exact h₂ (by exact m) (IH nd') },
{ rw [cons_val] }
end) nd
@[elab_as_eliminator]
lemma cons_induction_on {α : Type*} {p : finset α → Prop} (s : finset α)
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α} (h : a ∉ s), p s → p (cons a s h)) : p s :=
cons_induction h₁ h₂ s
@[elab_as_eliminator]
protected theorem induction {α : Type*} {p : finset α → Prop} [decidable_eq α]
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α}, a ∉ s → p s → p (insert a s)) : ∀ s, p s :=
cons_induction h₁ $ λ a s ha, (s.cons_eq_insert a ha).symm ▸ h₂ ha
/--
To prove a proposition about an arbitrary `finset α`,
it suffices to prove it for the empty `finset`,
and to show that if it holds for some `finset α`,
then it holds for the `finset` obtained by inserting a new element.
-/
@[elab_as_eliminator]
protected theorem induction_on {α : Type*} {p : finset α → Prop} [decidable_eq α]
(s : finset α) (h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α}, a ∉ s → p s → p (insert a s)) : p s :=
finset.induction h₁ h₂ s
/--
To prove a proposition about `S : finset α`,
it suffices to prove it for the empty `finset`,
and to show that if it holds for some `finset α ⊆ S`,
then it holds for the `finset` obtained by inserting a new element of `S`.
-/
@[elab_as_eliminator]
theorem induction_on' {α : Type*} {p : finset α → Prop} [decidable_eq α]
(S : finset α) (h₁ : p ∅) (h₂ : ∀ {a s}, a ∈ S → s ⊆ S → a ∉ s → p s → p (insert a s)) : p S :=
@finset.induction_on α (λ T, T ⊆ S → p T) _ S (λ _, h₁) (λ a s has hqs hs,
let ⟨hS, sS⟩ := finset.insert_subset.1 hs in h₂ hS sS has (hqs sS)) (finset.subset.refl S)
/-- Inserting an element to a finite set is equivalent to the option type. -/
def subtype_insert_equiv_option {t : finset α} {x : α} (h : x ∉ t) :
{i // i ∈ insert x t} ≃ option {i // i ∈ t} :=
begin
refine
{ to_fun := λ y, if h : ↑y = x then none else some ⟨y, (mem_insert.mp y.2).resolve_left h⟩,
inv_fun := λ y, y.elim ⟨x, mem_insert_self _ _⟩ $ λ z, ⟨z, mem_insert_of_mem z.2⟩,
.. },
{ intro y, by_cases h : ↑y = x,
simp only [subtype.ext_iff, h, option.elim, dif_pos, subtype.coe_mk],
simp only [h, option.elim, dif_neg, not_false_iff, subtype.coe_eta, subtype.coe_mk] },
{ rintro (_|y), simp only [option.elim, dif_pos, subtype.coe_mk],
have : ↑y ≠ x, { rintro ⟨⟩, exact h y.2 },
simp only [this, option.elim, subtype.eta, dif_neg, not_false_iff, subtype.coe_eta,
subtype.coe_mk] },
end
/-! ### union -/
/-- `s ∪ t` is the set such that `a ∈ s ∪ t` iff `a ∈ s` or `a ∈ t`. -/
instance : has_union (finset α) := ⟨λ s₁ s₂, ⟨_, nodup_ndunion s₁.1 s₂.2⟩⟩
theorem union_val_nd (s₁ s₂ : finset α) : (s₁ ∪ s₂).1 = ndunion s₁.1 s₂.1 := rfl
@[simp] theorem union_val (s₁ s₂ : finset α) : (s₁ ∪ s₂).1 = s₁.1 ∪ s₂.1 :=
ndunion_eq_union s₁.2
@[simp] theorem mem_union {a : α} {s₁ s₂ : finset α} : a ∈ s₁ ∪ s₂ ↔ a ∈ s₁ ∨ a ∈ s₂ := mem_ndunion
@[simp] theorem disj_union_eq_union {α} [decidable_eq α] (s t h) : @disj_union α s t h = s ∪ t :=
ext $ λ a, by simp
theorem mem_union_left {a : α} {s₁ : finset α} (s₂ : finset α) (h : a ∈ s₁) : a ∈ s₁ ∪ s₂ :=
mem_union.2 $ or.inl h
theorem mem_union_right {a : α} {s₂ : finset α} (s₁ : finset α) (h : a ∈ s₂) : a ∈ s₁ ∪ s₂ :=
mem_union.2 $ or.inr h
theorem forall_mem_union {s₁ s₂ : finset α} {p : α → Prop} :
(∀ ab ∈ (s₁ ∪ s₂), p ab) ↔ (∀ a ∈ s₁, p a) ∧ (∀ b ∈ s₂, p b) :=
⟨λ h, ⟨λ a, h a ∘ mem_union_left _, λ b, h b ∘ mem_union_right _⟩,
λ h ab hab, (mem_union.mp hab).elim (h.1 _) (h.2 _)⟩
theorem not_mem_union {a : α} {s₁ s₂ : finset α} : a ∉ s₁ ∪ s₂ ↔ a ∉ s₁ ∧ a ∉ s₂ :=
by rw [mem_union, not_or_distrib]
@[simp, norm_cast]
lemma coe_union (s₁ s₂ : finset α) : ↑(s₁ ∪ s₂) = (s₁ ∪ s₂ : set α) := set.ext $ λ x, mem_union
theorem union_subset {s₁ s₂ s₃ : finset α} (h₁ : s₁ ⊆ s₃) (h₂ : s₂ ⊆ s₃) : s₁ ∪ s₂ ⊆ s₃ :=
val_le_iff.1 (ndunion_le.2 ⟨h₁, val_le_iff.2 h₂⟩)
theorem subset_union_left (s₁ s₂ : finset α) : s₁ ⊆ s₁ ∪ s₂ := λ x, mem_union_left _
theorem subset_union_right (s₁ s₂ : finset α) : s₂ ⊆ s₁ ∪ s₂ := λ x, mem_union_right _
lemma union_subset_union {s₁ t₁ s₂ t₂ : finset α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) :
s₁ ∪ s₂ ⊆ t₁ ∪ t₂ :=
by { intros x hx, rw finset.mem_union at hx ⊢, tauto }
theorem union_comm (s₁ s₂ : finset α) : s₁ ∪ s₂ = s₂ ∪ s₁ :=
ext $ λ x, by simp only [mem_union, or_comm]
instance : is_commutative (finset α) (∪) := ⟨union_comm⟩
@[simp] theorem union_assoc (s₁ s₂ s₃ : finset α) : (s₁ ∪ s₂) ∪ s₃ = s₁ ∪ (s₂ ∪ s₃) :=
ext $ λ x, by simp only [mem_union, or_assoc]
instance : is_associative (finset α) (∪) := ⟨union_assoc⟩
@[simp] theorem union_idempotent (s : finset α) : s ∪ s = s :=
ext $ λ _, mem_union.trans $ or_self _
instance : is_idempotent (finset α) (∪) := ⟨union_idempotent⟩
theorem union_left_comm (s₁ s₂ s₃ : finset α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext $ λ _, by simp only [mem_union, or.left_comm]
theorem union_right_comm (s₁ s₂ s₃ : finset α) : (s₁ ∪ s₂) ∪ s₃ = (s₁ ∪ s₃) ∪ s₂ :=
ext $ λ x, by simp only [mem_union, or_assoc, or_comm (x ∈ s₂)]
theorem union_self (s : finset α) : s ∪ s = s := union_idempotent s
@[simp] theorem union_empty (s : finset α) : s ∪ ∅ = s :=
ext $ λ x, mem_union.trans $ or_false _
@[simp] theorem empty_union (s : finset α) : ∅ ∪ s = s :=
ext $ λ x, mem_union.trans $ false_or _
theorem insert_eq (a : α) (s : finset α) : insert a s = {a} ∪ s := rfl
@[simp] theorem insert_union (a : α) (s t : finset α) : insert a s ∪ t = insert a (s ∪ t) :=
by simp only [insert_eq, union_assoc]
@[simp] theorem union_insert (a : α) (s t : finset α) : s ∪ insert a t = insert a (s ∪ t) :=
by simp only [insert_eq, union_left_comm]
theorem insert_union_distrib (a : α) (s t : finset α) :
insert a (s ∪ t) = insert a s ∪ insert a t :=
by simp only [insert_union, union_insert, insert_idem]
@[simp] lemma union_eq_left_iff_subset {s t : finset α} :
s ∪ t = s ↔ t ⊆ s :=
begin
split,
{ assume h,
have : t ⊆ s ∪ t := subset_union_right _ _,
rwa h at this },
{ assume h,
exact subset.antisymm (union_subset (subset.refl _) h) (subset_union_left _ _) }
end
@[simp] lemma left_eq_union_iff_subset {s t : finset α} :
s = s ∪ t ↔ t ⊆ s :=
by rw [← union_eq_left_iff_subset, eq_comm]
@[simp] lemma union_eq_right_iff_subset {s t : finset α} :
t ∪ s = s ↔ t ⊆ s :=
by rw [union_comm, union_eq_left_iff_subset]
@[simp] lemma right_eq_union_iff_subset {s t : finset α} :
s = t ∪ s ↔ t ⊆ s :=
by rw [← union_eq_right_iff_subset, eq_comm]
/--
To prove a relation on pairs of `finset X`, it suffices to show that it is
* symmetric,
* it holds when one of the `finset`s is empty,
* it holds for pairs of singletons,
* if it holds for `[a, c]` and for `[b, c]`, then it holds for `[a ∪ b, c]`.
-/
lemma induction_on_union (P : finset α → finset α → Prop)
(symm : ∀ {a b}, P a b → P b a)
(empty_right : ∀ {a}, P a ∅)
(singletons : ∀ {a b}, P {a} {b})
(union_of : ∀ {a b c}, P a c → P b c → P (a ∪ b) c) :
∀ a b, P a b :=
begin
intros a b,
refine finset.induction_on b empty_right (λ x s xs hi, symm _),
rw finset.insert_eq,
apply union_of _ (symm hi),
refine finset.induction_on a empty_right (λ a t ta hi, symm _),
rw finset.insert_eq,
exact union_of singletons (symm hi),
end
lemma exists_mem_subset_of_subset_bUnion_of_directed_on {α ι : Type*}
{f : ι → set α} {c : set ι} {a : ι} (hac : a ∈ c) (hc : directed_on (λ i j, f i ⊆ f j) c)
{s : finset α} (hs : (s : set α) ⊆ ⋃ i ∈ c, f i) : ∃ i ∈ c, (s : set α) ⊆ f i :=
begin
classical,
revert hs,
apply s.induction_on,
{ intros,
use [a, hac],
simp },
{ intros b t hbt htc hbtc,
obtain ⟨i : ι , hic : i ∈ c, hti : (t : set α) ⊆ f i⟩ :=
htc (set.subset.trans (t.subset_insert b) hbtc),
obtain ⟨j, hjc, hbj⟩ : ∃ j ∈ c, b ∈ f j,
by simpa [set.mem_bUnion_iff] using hbtc (t.mem_insert_self b),
rcases hc j hjc i hic with ⟨k, hkc, hk, hk'⟩,
use [k, hkc],
rw [coe_insert, set.insert_subset],
exact ⟨hk hbj, trans hti hk'⟩ }
end
/-! ### inter -/
/-- `s ∩ t` is the set such that `a ∈ s ∩ t` iff `a ∈ s` and `a ∈ t`. -/
instance : has_inter (finset α) := ⟨λ s₁ s₂, ⟨_, nodup_ndinter s₂.1 s₁.2⟩⟩
-- TODO: some of these results may have simpler proofs, once there are enough results
-- to obtain the `lattice` instance.
theorem inter_val_nd (s₁ s₂ : finset α) : (s₁ ∩ s₂).1 = ndinter s₁.1 s₂.1 := rfl
@[simp] theorem inter_val (s₁ s₂ : finset α) : (s₁ ∩ s₂).1 = s₁.1 ∩ s₂.1 :=
ndinter_eq_inter s₁.2
@[simp] theorem mem_inter {a : α} {s₁ s₂ : finset α} : a ∈ s₁ ∩ s₂ ↔ a ∈ s₁ ∧ a ∈ s₂ := mem_ndinter
theorem mem_of_mem_inter_left {a : α} {s₁ s₂ : finset α} (h : a ∈ s₁ ∩ s₂) :
a ∈ s₁ := (mem_inter.1 h).1
theorem mem_of_mem_inter_right {a : α} {s₁ s₂ : finset α} (h : a ∈ s₁ ∩ s₂) :
a ∈ s₂ := (mem_inter.1 h).2
theorem mem_inter_of_mem {a : α} {s₁ s₂ : finset α} : a ∈ s₁ → a ∈ s₂ → a ∈ s₁ ∩ s₂ :=
and_imp.1 mem_inter.2
theorem inter_subset_left (s₁ s₂ : finset α) : s₁ ∩ s₂ ⊆ s₁ := λ a, mem_of_mem_inter_left
theorem inter_subset_right (s₁ s₂ : finset α) : s₁ ∩ s₂ ⊆ s₂ := λ a, mem_of_mem_inter_right
theorem subset_inter {s₁ s₂ s₃ : finset α} : s₁ ⊆ s₂ → s₁ ⊆ s₃ → s₁ ⊆ s₂ ∩ s₃ :=
by simp only [subset_iff, mem_inter] {contextual:=tt}; intros; split; trivial
@[simp, norm_cast]
lemma coe_inter (s₁ s₂ : finset α) : ↑(s₁ ∩ s₂) = (s₁ ∩ s₂ : set α) := set.ext $ λ _, mem_inter
@[simp] theorem union_inter_cancel_left {s t : finset α} : (s ∪ t) ∩ s = s :=
by rw [← coe_inj, coe_inter, coe_union, set.union_inter_cancel_left]
@[simp] theorem union_inter_cancel_right {s t : finset α} : (s ∪ t) ∩ t = t :=
by rw [← coe_inj, coe_inter, coe_union, set.union_inter_cancel_right]
theorem inter_comm (s₁ s₂ : finset α) : s₁ ∩ s₂ = s₂ ∩ s₁ :=
ext $ λ _, by simp only [mem_inter, and_comm]
@[simp] theorem inter_assoc (s₁ s₂ s₃ : finset α) : (s₁ ∩ s₂) ∩ s₃ = s₁ ∩ (s₂ ∩ s₃) :=
ext $ λ _, by simp only [mem_inter, and_assoc]
theorem inter_left_comm (s₁ s₂ s₃ : finset α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext $ λ _, by simp only [mem_inter, and.left_comm]
theorem inter_right_comm (s₁ s₂ s₃ : finset α) : (s₁ ∩ s₂) ∩ s₃ = (s₁ ∩ s₃) ∩ s₂ :=
ext $ λ _, by simp only [mem_inter, and.right_comm]
@[simp] theorem inter_self (s : finset α) : s ∩ s = s :=
ext $ λ _, mem_inter.trans $ and_self _
@[simp] theorem inter_empty (s : finset α) : s ∩ ∅ = ∅ :=
ext $ λ _, mem_inter.trans $ and_false _
@[simp] theorem empty_inter (s : finset α) : ∅ ∩ s = ∅ :=
ext $ λ _, mem_inter.trans $ false_and _
@[simp] lemma inter_union_self (s t : finset α) : s ∩ (t ∪ s) = s :=
by rw [inter_comm, union_inter_cancel_right]
@[simp] theorem insert_inter_of_mem {s₁ s₂ : finset α} {a : α} (h : a ∈ s₂) :
insert a s₁ ∩ s₂ = insert a (s₁ ∩ s₂) :=
ext $ λ x, have x = a ∨ x ∈ s₂ ↔ x ∈ s₂, from or_iff_right_of_imp $ by rintro rfl; exact h,
by simp only [mem_inter, mem_insert, or_and_distrib_left, this]
@[simp] theorem inter_insert_of_mem {s₁ s₂ : finset α} {a : α} (h : a ∈ s₁) :
s₁ ∩ insert a s₂ = insert a (s₁ ∩ s₂) :=
by rw [inter_comm, insert_inter_of_mem h, inter_comm]
@[simp] theorem insert_inter_of_not_mem {s₁ s₂ : finset α} {a : α} (h : a ∉ s₂) :
insert a s₁ ∩ s₂ = s₁ ∩ s₂ :=
ext $ λ x, have ¬ (x = a ∧ x ∈ s₂), by rintro ⟨rfl, H⟩; exact h H,
by simp only [mem_inter, mem_insert, or_and_distrib_right, this, false_or]
@[simp] theorem inter_insert_of_not_mem {s₁ s₂ : finset α} {a : α} (h : a ∉ s₁) :
s₁ ∩ insert a s₂ = s₁ ∩ s₂ :=
by rw [inter_comm, insert_inter_of_not_mem h, inter_comm]
@[simp] theorem singleton_inter_of_mem {a : α} {s : finset α} (H : a ∈ s) : {a} ∩ s = {a} :=
show insert a ∅ ∩ s = insert a ∅, by rw [insert_inter_of_mem H, empty_inter]
@[simp] theorem singleton_inter_of_not_mem {a : α} {s : finset α} (H : a ∉ s) : {a} ∩ s = ∅ :=
eq_empty_of_forall_not_mem $ by simp only [mem_inter, mem_singleton]; rintro x ⟨rfl, h⟩; exact H h
@[simp] theorem inter_singleton_of_mem {a : α} {s : finset α} (h : a ∈ s) : s ∩ {a} = {a} :=
by rw [inter_comm, singleton_inter_of_mem h]
@[simp] theorem inter_singleton_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : s ∩ {a} = ∅ :=
by rw [inter_comm, singleton_inter_of_not_mem h]
@[mono]
lemma inter_subset_inter {x y s t : finset α} (h : x ⊆ y) (h' : s ⊆ t) : x ∩ s ⊆ y ∩ t :=
begin
intros a a_in,
rw finset.mem_inter at a_in ⊢,
exact ⟨h a_in.1, h' a_in.2⟩
end
lemma inter_subset_inter_right {x y s : finset α} (h : x ⊆ y) : x ∩ s ⊆ y ∩ s :=
finset.inter_subset_inter h (finset.subset.refl _)
lemma inter_subset_inter_left {x y s : finset α} (h : x ⊆ y) : s ∩ x ⊆ s ∩ y :=
finset.inter_subset_inter (finset.subset.refl _) h
/-! ### lattice laws -/
instance : lattice (finset α) :=
{ sup := (∪),
sup_le := assume a b c, union_subset,
le_sup_left := subset_union_left,
le_sup_right := subset_union_right,
inf := (∩),
le_inf := assume a b c, subset_inter,
inf_le_left := inter_subset_left,
inf_le_right := inter_subset_right,
..finset.partial_order }
@[simp] theorem sup_eq_union : ((⊔) : finset α → finset α → finset α) = (∪) := rfl
@[simp] theorem inf_eq_inter : ((⊓) : finset α → finset α → finset α) = (∩) := rfl
instance : semilattice_inf_bot (finset α) :=
{ bot := ∅, bot_le := empty_subset, ..finset.lattice }
@[simp] lemma bot_eq_empty : (⊥ : finset α) = ∅ := rfl
instance {α : Type*} [decidable_eq α] : semilattice_sup_bot (finset α) :=
{ ..finset.semilattice_inf_bot, ..finset.lattice }
instance : distrib_lattice (finset α) :=
{ le_sup_inf := assume a b c, show (a ∪ b) ∩ (a ∪ c) ⊆ a ∪ b ∩ c,
by simp only [subset_iff, mem_inter, mem_union, and_imp, or_imp_distrib] {contextual:=tt};
simp only [true_or, imp_true_iff, true_and, or_true],
..finset.lattice }
theorem inter_distrib_left (s t u : finset α) : s ∩ (t ∪ u) = (s ∩ t) ∪ (s ∩ u) := inf_sup_left
theorem inter_distrib_right (s t u : finset α) : (s ∪ t) ∩ u = (s ∩ u) ∪ (t ∩ u) := inf_sup_right
theorem union_distrib_left (s t u : finset α) : s ∪ (t ∩ u) = (s ∪ t) ∩ (s ∪ u) := sup_inf_left
theorem union_distrib_right (s t u : finset α) : (s ∩ t) ∪ u = (s ∪ u) ∩ (t ∪ u) := sup_inf_right
lemma union_eq_empty_iff (A B : finset α) : A ∪ B = ∅ ↔ A = ∅ ∧ B = ∅ := sup_eq_bot_iff
lemma union_subset_iff {s₁ s₂ s₃ : finset α} :
s₁ ∪ s₂ ⊆ s₃ ↔ s₁ ⊆ s₃ ∧ s₂ ⊆ s₃ :=
(sup_le_iff : s₁ ⊔ s₂ ≤ s₃ ↔ s₁ ≤ s₃ ∧ s₂ ≤ s₃)
lemma subset_inter_iff {s₁ s₂ s₃ : finset α} :
s₁ ⊆ s₂ ∩ s₃ ↔ s₁ ⊆ s₂ ∧ s₁ ⊆ s₃ :=
(le_inf_iff : s₁ ≤ s₂ ⊓ s₃ ↔ s₁ ≤ s₂ ∧ s₁ ≤ s₃)
theorem inter_eq_left_iff_subset (s t : finset α) :
s ∩ t = s ↔ s ⊆ t :=
(inf_eq_left : s ⊓ t = s ↔ s ≤ t)
theorem inter_eq_right_iff_subset (s t : finset α) :
t ∩ s = s ↔ s ⊆ t :=
(inf_eq_right : t ⊓ s = s ↔ s ≤ t)
/-! ### erase -/
/-- `erase s a` is the set `s - {a}`, that is, the elements of `s` which are
not equal to `a`. -/
def erase (s : finset α) (a : α) : finset α := ⟨_, nodup_erase_of_nodup a s.2⟩
@[simp] theorem erase_val (s : finset α) (a : α) : (erase s a).1 = s.1.erase a := rfl
@[simp] theorem mem_erase {a b : α} {s : finset α} : a ∈ erase s b ↔ a ≠ b ∧ a ∈ s :=
mem_erase_iff_of_nodup s.2
theorem not_mem_erase (a : α) (s : finset α) : a ∉ erase s a := mem_erase_of_nodup s.2
@[simp] theorem erase_empty (a : α) : erase ∅ a = ∅ := rfl
theorem ne_of_mem_erase {a b : α} {s : finset α} : b ∈ erase s a → b ≠ a :=
by simp only [mem_erase]; exact and.left
theorem mem_of_mem_erase {a b : α} {s : finset α} : b ∈ erase s a → b ∈ s := mem_of_mem_erase
theorem mem_erase_of_ne_of_mem {a b : α} {s : finset α} : a ≠ b → a ∈ s → a ∈ erase s b :=
by simp only [mem_erase]; exact and.intro
/-- An element of `s` that is not an element of `erase s a` must be
`a`. -/
lemma eq_of_mem_of_not_mem_erase {a b : α} {s : finset α} (hs : b ∈ s)
(hsa : b ∉ s.erase a) : b = a :=
begin
rw [mem_erase, not_and] at hsa,
exact not_imp_not.mp hsa hs
end
theorem erase_insert {a : α} {s : finset α} (h : a ∉ s) : erase (insert a s) a = s :=
ext $ assume x, by simp only [mem_erase, mem_insert, and_or_distrib_left, not_and_self, false_or];
apply and_iff_right_of_imp; rintro H rfl; exact h H
theorem insert_erase {a : α} {s : finset α} (h : a ∈ s) : insert a (erase s a) = s :=
ext $ assume x, by simp only [mem_insert, mem_erase, or_and_distrib_left, dec_em, true_and];
apply or_iff_right_of_imp; rintro rfl; exact h
theorem erase_subset_erase (a : α) {s t : finset α} (h : s ⊆ t) : erase s a ⊆ erase t a :=
val_le_iff.1 $ erase_le_erase _ $ val_le_iff.2 h
theorem erase_subset (a : α) (s : finset α) : erase s a ⊆ s := erase_subset _ _
@[simp, norm_cast] lemma coe_erase (a : α) (s : finset α) : ↑(erase s a) = (s \ {a} : set α) :=
set.ext $ λ _, mem_erase.trans $ by rw [and_comm, set.mem_diff, set.mem_singleton_iff]; refl
lemma erase_ssubset {a : α} {s : finset α} (h : a ∈ s) : s.erase a ⊂ s :=
calc s.erase a ⊂ insert a (s.erase a) : ssubset_insert $ not_mem_erase _ _
... = _ : insert_erase h
theorem erase_eq_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : erase s a = s :=
eq_of_veq $ erase_of_not_mem h
theorem subset_insert_iff {a : α} {s t : finset α} : s ⊆ insert a t ↔ erase s a ⊆ t :=
by simp only [subset_iff, or_iff_not_imp_left, mem_erase, mem_insert, and_imp];
exact forall_congr (λ x, forall_swap)
theorem erase_insert_subset (a : α) (s : finset α) : erase (insert a s) a ⊆ s :=
subset_insert_iff.1 $ subset.refl _
theorem insert_erase_subset (a : α) (s : finset α) : s ⊆ insert a (erase s a) :=
subset_insert_iff.2 $ subset.refl _
lemma erase_inj {x y : α} (s : finset α) (hx : x ∈ s) :
s.erase x = s.erase y ↔ x = y :=
begin
refine ⟨λ h, _, congr_arg _⟩,
rw eq_of_mem_of_not_mem_erase hx,
rw ←h,
simp,
end
lemma erase_inj_on (s : finset α) : set.inj_on s.erase s :=
λ _ _ _ _, (erase_inj s ‹_›).mp
/-! ### sdiff -/
/-- `s \ t` is the set consisting of the elements of `s` that are not in `t`. -/
instance : has_sdiff (finset α) := ⟨λs₁ s₂, ⟨s₁.1 - s₂.1, nodup_of_le (sub_le_self _ _) s₁.2⟩⟩
@[simp] lemma sdiff_val (s₁ s₂ : finset α) : (s₁ \ s₂).val = s₁.val - s₂.val := rfl
@[simp] theorem mem_sdiff {a : α} {s₁ s₂ : finset α} :
a ∈ s₁ \ s₂ ↔ a ∈ s₁ ∧ a ∉ s₂ := mem_sub_of_nodup s₁.2
@[simp] theorem inter_sdiff_self (s₁ s₂ : finset α) : s₁ ∩ (s₂ \ s₁) = ∅ :=
eq_empty_of_forall_not_mem $
by simp only [mem_inter, mem_sdiff]; rintro x ⟨h, _, hn⟩; exact hn h
instance : generalized_boolean_algebra (finset α) :=
{ sup_inf_sdiff := λ x y, by { simp only [ext_iff, mem_union, mem_sdiff, inf_eq_inter, sup_eq_union,
mem_inter], tauto },
inf_inf_sdiff := λ x y, by { simp only [ext_iff, inter_sdiff_self, inter_empty, inter_assoc,
false_iff, inf_eq_inter, not_mem_empty], tauto },
..finset.has_sdiff,
..finset.distrib_lattice,
..finset.semilattice_inf_bot }
lemma not_mem_sdiff_of_mem_right {a : α} {s t : finset α} (h : a ∈ t) : a ∉ s \ t :=
by simp only [mem_sdiff, h, not_true, not_false_iff, and_false]
theorem union_sdiff_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁ ∪ (s₂ \ s₁) = s₂ :=
sup_sdiff_of_le h
theorem sdiff_union_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : (s₂ \ s₁) ∪ s₁ = s₂ :=
(union_comm _ _).trans (union_sdiff_of_subset h)
theorem inter_sdiff (s t u : finset α) : s ∩ (t \ u) = s ∩ t \ u :=
by { ext x, simp [and_assoc] }
@[simp] theorem sdiff_inter_self (s₁ s₂ : finset α) : (s₂ \ s₁) ∩ s₁ = ∅ :=
inf_sdiff_self_left
@[simp] theorem sdiff_self (s₁ : finset α) : s₁ \ s₁ = ∅ :=
sdiff_self
theorem sdiff_inter_distrib_right (s₁ s₂ s₃ : finset α) : s₁ \ (s₂ ∩ s₃) = (s₁ \ s₂) ∪ (s₁ \ s₃) :=
sdiff_inf
@[simp] theorem sdiff_inter_self_left (s₁ s₂ : finset α) : s₁ \ (s₁ ∩ s₂) = s₁ \ s₂ :=
sdiff_inf_self_left
@[simp] theorem sdiff_inter_self_right (s₁ s₂ : finset α) : s₁ \ (s₂ ∩ s₁) = s₁ \ s₂ :=
sdiff_inf_self_right
@[simp] theorem sdiff_empty {s₁ : finset α} : s₁ \ ∅ = s₁ :=
sdiff_bot
@[mono]
theorem sdiff_subset_sdiff {s₁ s₂ t₁ t₂ : finset α} (h₁ : t₁ ⊆ t₂) (h₂ : s₂ ⊆ s₁) :
t₁ \ s₁ ⊆ t₂ \ s₂ :=
sdiff_le_sdiff ‹t₁ ≤ t₂› ‹s₂ ≤ s₁›
@[simp, norm_cast] lemma coe_sdiff (s₁ s₂ : finset α) : ↑(s₁ \ s₂) = (s₁ \ s₂ : set α) :=
set.ext $ λ _, mem_sdiff
@[simp] theorem union_sdiff_self_eq_union {s t : finset α} : s ∪ (t \ s) = s ∪ t :=
sup_sdiff_self_right
@[simp] theorem sdiff_union_self_eq_union {s t : finset α} : (s \ t) ∪ t = s ∪ t :=
sup_sdiff_self_left
lemma union_sdiff_symm {s t : finset α} : s ∪ (t \ s) = t ∪ (s \ t) :=
sup_sdiff_symm
lemma sdiff_union_inter (s t : finset α) : (s \ t) ∪ (s ∩ t) = s :=
by { rw union_comm, exact sup_inf_sdiff _ _ }
@[simp] lemma sdiff_idem (s t : finset α) : s \ t \ t = s \ t :=
sdiff_idem
lemma sdiff_eq_empty_iff_subset {s t : finset α} : s \ t = ∅ ↔ s ⊆ t :=
sdiff_eq_bot_iff
@[simp] lemma empty_sdiff (s : finset α) : ∅ \ s = ∅ :=
bot_sdiff
lemma insert_sdiff_of_not_mem (s : finset α) {t : finset α} {x : α} (h : x ∉ t) :
(insert x s) \ t = insert x (s \ t) :=
begin
rw [← coe_inj, coe_insert, coe_sdiff, coe_sdiff, coe_insert],
exact set.insert_diff_of_not_mem s h
end
lemma insert_sdiff_of_mem (s : finset α) {t : finset α} {x : α} (h : x ∈ t) :
(insert x s) \ t = s \ t :=
begin
rw [← coe_inj, coe_sdiff, coe_sdiff, coe_insert],
exact set.insert_diff_of_mem s h
end
@[simp] lemma insert_sdiff_insert (s t : finset α) (x : α) :
(insert x s) \ (insert x t) = s \ insert x t :=
insert_sdiff_of_mem _ (mem_insert_self _ _)
lemma sdiff_insert_of_not_mem {s : finset α} {x : α} (h : x ∉ s) (t : finset α) :
s \ (insert x t) = s \ t :=
begin
refine subset.antisymm (sdiff_subset_sdiff (subset.refl _) (subset_insert _ _)) (λ y hy, _),
simp only [mem_sdiff, mem_insert, not_or_distrib] at hy ⊢,
exact ⟨hy.1, λ hxy, h $ hxy ▸ hy.1, hy.2⟩
end
@[simp] lemma sdiff_subset (s t : finset α) : s \ t ⊆ s :=
show s \ t ≤ s, from sdiff_le
lemma sdiff_ssubset {s t : finset α} (h : t ⊆ s) (ht : t.nonempty) :
s \ t ⊂ s :=
sdiff_lt (le_iff_subset.2 h) ht.ne_empty
lemma union_sdiff_distrib (s₁ s₂ t : finset α) : (s₁ ∪ s₂) \ t = s₁ \ t ∪ s₂ \ t :=
sup_sdiff
lemma sdiff_union_distrib (s t₁ t₂ : finset α) : s \ (t₁ ∪ t₂) = (s \ t₁) ∩ (s \ t₂) :=
sdiff_sup
lemma union_sdiff_self (s t : finset α) : (s ∪ t) \ t = s \ t :=
sup_sdiff_right_self
lemma sdiff_singleton_eq_erase (a : α) (s : finset α) : s \ singleton a = erase s a :=
by { ext, rw [mem_erase, mem_sdiff, mem_singleton], tauto }
lemma sdiff_sdiff_self_left (s t : finset α) : s \ (s \ t) = s ∩ t :=
sdiff_sdiff_right_self
lemma sdiff_eq_sdiff_iff_inter_eq_inter {s t₁ t₂ : finset α} : s \ t₁ = s \ t₂ ↔ s ∩ t₁ = s ∩ t₂ :=
sdiff_eq_sdiff_iff_inf_eq_inf
lemma union_eq_sdiff_union_sdiff_union_inter (s t : finset α) :
s ∪ t = (s \ t) ∪ (t \ s) ∪ (s ∩ t) :=
sup_eq_sdiff_sup_sdiff_sup_inf
end decidable_eq
/-! ### attach -/
/-- `attach s` takes the elements of `s` and forms a new set of elements of the subtype
`{x // x ∈ s}`. -/
def attach (s : finset α) : finset {x // x ∈ s} := ⟨attach s.1, nodup_attach.2 s.2⟩
theorem sizeof_lt_sizeof_of_mem [has_sizeof α] {x : α} {s : finset α} (hx : x ∈ s) :
sizeof x < sizeof s := by
{ cases s, dsimp [sizeof, has_sizeof.sizeof, finset.sizeof],
apply lt_add_left, exact multiset.sizeof_lt_sizeof_of_mem hx }
@[simp] theorem attach_val (s : finset α) : s.attach.1 = s.1.attach := rfl
@[simp] theorem mem_attach (s : finset α) : ∀ x, x ∈ s.attach := mem_attach _
@[simp] theorem attach_empty : attach (∅ : finset α) = ∅ := rfl
@[simp] lemma attach_nonempty_iff (s : finset α) : s.attach.nonempty ↔ s.nonempty :=
by simp [finset.nonempty]
@[simp] lemma attach_eq_empty_iff (s : finset α) : s.attach = ∅ ↔ s = ∅ :=
by simpa [eq_empty_iff_forall_not_mem]
/-! ### piecewise -/
section piecewise
/-- `s.piecewise f g` is the function equal to `f` on the finset `s`, and to `g` on its
complement. -/
def piecewise {α : Type*} {δ : α → Sort*} (s : finset α) (f g : Πi, δ i) [∀j, decidable (j ∈ s)] :
Πi, δ i :=
λi, if i ∈ s then f i else g i
variables {δ : α → Sort*} (s : finset α) (f g : Πi, δ i)
@[simp] lemma piecewise_insert_self [decidable_eq α] {j : α} [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g j = f j :=
by simp [piecewise]
@[simp] lemma piecewise_empty [∀i : α, decidable (i ∈ (∅ : finset α))] : piecewise ∅ f g = g :=
by { ext i, simp [piecewise] }
variable [∀j, decidable (j ∈ s)]
@[norm_cast] lemma piecewise_coe [∀j, decidable (j ∈ (s : set α))] :
(s : set α).piecewise f g = s.piecewise f g :=
by { ext, congr }
@[simp, priority 980]
lemma piecewise_eq_of_mem {i : α} (hi : i ∈ s) : s.piecewise f g i = f i :=
by simp [piecewise, hi]
@[simp, priority 980]
lemma piecewise_eq_of_not_mem {i : α} (hi : i ∉ s) : s.piecewise f g i = g i :=
by simp [piecewise, hi]
lemma piecewise_congr {f f' g g' : Π i, δ i} (hf : ∀ i ∈ s, f i = f' i) (hg : ∀ i ∉ s, g i = g' i) :
s.piecewise f g = s.piecewise f' g' :=
funext $ λ i, if_ctx_congr iff.rfl (hf i) (hg i)
@[simp, priority 990]
lemma piecewise_insert_of_ne [decidable_eq α] {i j : α} [∀i, decidable (i ∈ insert j s)]
(h : i ≠ j) : (insert j s).piecewise f g i = s.piecewise f g i :=
by simp [piecewise, h]
lemma piecewise_insert [decidable_eq α] (j : α) [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g = update (s.piecewise f g) j (f j) :=
begin
classical,
rw [← piecewise_coe, ← piecewise_coe, ← set.piecewise_insert, ← coe_insert j s],
congr
end
lemma piecewise_cases {i} (p : δ i → Prop) (hf : p (f i)) (hg : p (g i)) : p (s.piecewise f g i) :=
by by_cases hi : i ∈ s; simpa [hi]
lemma piecewise_mem_set_pi {δ : α → Type*} {t : set α} {t' : Π i, set (δ i)}
{f g} (hf : f ∈ set.pi t t') (hg : g ∈ set.pi t t') : s.piecewise f g ∈ set.pi t t' :=
by { classical, rw ← piecewise_coe, exact set.piecewise_mem_pi ↑s hf hg }
lemma piecewise_singleton [decidable_eq α] (i : α) :
piecewise {i} f g = update g i (f i) :=
by rw [← insert_emptyc_eq, piecewise_insert, piecewise_empty]
lemma piecewise_piecewise_of_subset_left {s t : finset α} [Π i, decidable (i ∈ s)]
[Π i, decidable (i ∈ t)] (h : s ⊆ t) (f₁ f₂ g : Π a, δ a) :
s.piecewise (t.piecewise f₁ f₂) g = s.piecewise f₁ g :=
s.piecewise_congr (λ i hi, piecewise_eq_of_mem _ _ _ (h hi)) (λ _ _, rfl)
@[simp] lemma piecewise_idem_left (f₁ f₂ g : Π a, δ a) :
s.piecewise (s.piecewise f₁ f₂) g = s.piecewise f₁ g :=
piecewise_piecewise_of_subset_left (subset.refl _) _ _ _
lemma piecewise_piecewise_of_subset_right {s t : finset α} [Π i, decidable (i ∈ s)]
[Π i, decidable (i ∈ t)] (h : t ⊆ s) (f g₁ g₂ : Π a, δ a) :
s.piecewise f (t.piecewise g₁ g₂) = s.piecewise f g₂ :=
s.piecewise_congr (λ _ _, rfl) (λ i hi, t.piecewise_eq_of_not_mem _ _ (mt (@h _) hi))
@[simp] lemma piecewise_idem_right (f g₁ g₂ : Π a, δ a) :
s.piecewise f (s.piecewise g₁ g₂) = s.piecewise f g₂ :=
piecewise_piecewise_of_subset_right (subset.refl _) f g₁ g₂
lemma update_eq_piecewise {β : Type*} [decidable_eq α] (f : α → β) (i : α) (v : β) :
update f i v = piecewise (singleton i) (λj, v) f :=
(piecewise_singleton _ _ _).symm
lemma update_piecewise [decidable_eq α] (i : α) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise (update f i v) (update g i v) :=
begin
ext j,
rcases em (j = i) with (rfl|hj); by_cases hs : j ∈ s; simp *
end
lemma update_piecewise_of_mem [decidable_eq α] {i : α} (hi : i ∈ s) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise (update f i v) g :=
begin
rw update_piecewise,
refine s.piecewise_congr (λ _ _, rfl) (λ j hj, update_noteq _ _ _),
exact λ h, hj (h.symm ▸ hi)
end
lemma update_piecewise_of_not_mem [decidable_eq α] {i : α} (hi : i ∉ s) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise f (update g i v) :=
begin
rw update_piecewise,
refine s.piecewise_congr (λ j hj, update_noteq _ _ _) (λ _ _, rfl),
exact λ h, hi (h ▸ hj)
end
lemma piecewise_le_of_le_of_le {δ : α → Type*} [Π i, preorder (δ i)] {f g h : Π i, δ i}
(Hf : f ≤ h) (Hg : g ≤ h) : s.piecewise f g ≤ h :=
λ x, piecewise_cases s f g (≤ h x) (Hf x) (Hg x)
lemma le_piecewise_of_le_of_le {δ : α → Type*} [Π i, preorder (δ i)] {f g h : Π i, δ i}
(Hf : h ≤ f) (Hg : h ≤ g) : h ≤ s.piecewise f g :=
λ x, piecewise_cases s f g (λ y, h x ≤ y) (Hf x) (Hg x)
lemma piecewise_le_piecewise' {δ : α → Type*} [Π i, preorder (δ i)] {f g f' g' : Π i, δ i}
(Hf : ∀ x ∈ s, f x ≤ f' x) (Hg : ∀ x ∉ s, g x ≤ g' x) : s.piecewise f g ≤ s.piecewise f' g' :=
λ x, by { by_cases hx : x ∈ s; simp [hx, *] }
lemma piecewise_le_piecewise {δ : α → Type*} [Π i, preorder (δ i)] {f g f' g' : Π i, δ i}
(Hf : f ≤ f') (Hg : g ≤ g') : s.piecewise f g ≤ s.piecewise f' g' :=
s.piecewise_le_piecewise' (λ x _, Hf x) (λ x _, Hg x)
lemma piecewise_mem_Icc_of_mem_of_mem {δ : α → Type*} [Π i, preorder (δ i)] {f f₁ g g₁ : Π i, δ i}
(hf : f ∈ set.Icc f₁ g₁) (hg : g ∈ set.Icc f₁ g₁) :
s.piecewise f g ∈ set.Icc f₁ g₁ :=
⟨le_piecewise_of_le_of_le _ hf.1 hg.1, piecewise_le_of_le_of_le _ hf.2 hg.2⟩
lemma piecewise_mem_Icc {δ : α → Type*} [Π i, preorder (δ i)] {f g : Π i, δ i} (h : f ≤ g) :
s.piecewise f g ∈ set.Icc f g :=
piecewise_mem_Icc_of_mem_of_mem _ (set.left_mem_Icc.2 h) (set.right_mem_Icc.2 h)
lemma piecewise_mem_Icc' {δ : α → Type*} [Π i, preorder (δ i)] {f g : Π i, δ i} (h : g ≤ f) :
s.piecewise f g ∈ set.Icc g f :=
piecewise_mem_Icc_of_mem_of_mem _ (set.right_mem_Icc.2 h) (set.left_mem_Icc.2 h)
end piecewise
section decidable_pi_exists
variables {s : finset α}
instance decidable_dforall_finset {p : Πa∈s, Prop} [hp : ∀a (h : a ∈ s), decidable (p a h)] :
decidable (∀a (h : a ∈ s), p a h) :=
multiset.decidable_dforall_multiset
/-- decidable equality for functions whose domain is bounded by finsets -/
instance decidable_eq_pi_finset {β : α → Type*} [h : ∀a, decidable_eq (β a)] :
decidable_eq (Πa∈s, β a) :=
multiset.decidable_eq_pi_multiset
instance decidable_dexists_finset {p : Πa∈s, Prop} [hp : ∀a (h : a ∈ s), decidable (p a h)] :
decidable (∃a (h : a ∈ s), p a h) :=
multiset.decidable_dexists_multiset
end decidable_pi_exists
/-! ### filter -/
section filter
variables (p q : α → Prop) [decidable_pred p] [decidable_pred q]
/-- `filter p s` is the set of elements of `s` that satisfy `p`. -/
def filter (s : finset α) : finset α :=
⟨_, nodup_filter p s.2⟩
@[simp] theorem filter_val (s : finset α) : (filter p s).1 = s.1.filter p := rfl
@[simp] theorem filter_subset (s : finset α) : s.filter p ⊆ s := filter_subset _ _
variable {p}
@[simp] theorem mem_filter {s : finset α} {a : α} : a ∈ s.filter p ↔ a ∈ s ∧ p a := mem_filter
theorem filter_ssubset {s : finset α} : s.filter p ⊂ s ↔ ∃ x ∈ s, ¬ p x :=
⟨λ h, let ⟨x, hs, hp⟩ := set.exists_of_ssubset h in ⟨x, hs, mt (λ hp, mem_filter.2 ⟨hs, hp⟩) hp⟩,
λ ⟨x, hs, hp⟩, ⟨s.filter_subset _, λ h, hp (mem_filter.1 (h hs)).2⟩⟩
variable (p)
theorem filter_filter (s : finset α) : (s.filter p).filter q = s.filter (λa, p a ∧ q a) :=
ext $ assume a, by simp only [mem_filter, and_comm, and.left_comm]
lemma filter_true {s : finset α} [h : decidable_pred (λ _, true)] :
@finset.filter α (λ _, true) h s = s :=
by ext; simp
@[simp] theorem filter_false {h} (s : finset α) : @filter α (λa, false) h s = ∅ :=
ext $ assume a, by simp only [mem_filter, and_false]; refl
variables {p q}
/-- If all elements of a `finset` satisfy the predicate `p`, `s.filter p` is `s`. -/
@[simp] lemma filter_true_of_mem {s : finset α} (h : ∀ x ∈ s, p x) : s.filter p = s :=
ext $ λ x, ⟨λ h, (mem_filter.1 h).1, λ hx, mem_filter.2 ⟨hx, h x hx⟩⟩
/-- If all elements of a `finset` fail to satisfy the predicate `p`, `s.filter p` is `∅`. -/
lemma filter_false_of_mem {s : finset α} (h : ∀ x ∈ s, ¬ p x) : s.filter p = ∅ :=
eq_empty_of_forall_not_mem (by simpa)
lemma filter_congr {s : finset α} (H : ∀ x ∈ s, p x ↔ q x) : filter p s = filter q s :=
eq_of_veq $ filter_congr H
variables (p q)
lemma filter_empty : filter p ∅ = ∅ := subset_empty.1 $ filter_subset _ _
lemma filter_subset_filter {s t : finset α} (h : s ⊆ t) : s.filter p ⊆ t.filter p :=
assume a ha, mem_filter.2 ⟨h (mem_filter.1 ha).1, (mem_filter.1 ha).2⟩
@[simp, norm_cast] lemma coe_filter (s : finset α) : ↑(s.filter p) = ({x ∈ ↑s | p x} : set α) :=
set.ext $ λ _, mem_filter
theorem filter_singleton (a : α) : filter p (singleton a) = if p a then singleton a else ∅ :=
by { classical, ext x, simp, split_ifs with h; by_cases h' : x = a; simp [h, h'] }
variable [decidable_eq α]
theorem filter_union (s₁ s₂ : finset α) : (s₁ ∪ s₂).filter p = s₁.filter p ∪ s₂.filter p :=
ext $ λ _, by simp only [mem_filter, mem_union, or_and_distrib_right]
theorem filter_union_right (s : finset α) : s.filter p ∪ s.filter q = s.filter (λx, p x ∨ q x) :=
ext $ λ x, by simp only [mem_filter, mem_union, and_or_distrib_left.symm]
lemma filter_mem_eq_inter {s t : finset α} [Π i, decidable (i ∈ t)] :
s.filter (λ i, i ∈ t) = s ∩ t :=
ext $ λ i, by rw [mem_filter, mem_inter]
theorem filter_inter (s t : finset α) : filter p s ∩ t = filter p (s ∩ t) :=
by { ext, simp only [mem_inter, mem_filter, and.right_comm] }
theorem inter_filter (s t : finset α) : s ∩ filter p t = filter p (s ∩ t) :=
by rw [inter_comm, filter_inter, inter_comm]
theorem filter_insert (a : α) (s : finset α) :
filter p (insert a s) = if p a then insert a (filter p s) else filter p s :=
by { ext x, simp, split_ifs with h; by_cases h' : x = a; simp [h, h'] }
theorem filter_or [decidable_pred (λ a, p a ∨ q a)] (s : finset α) :
s.filter (λ a, p a ∨ q a) = s.filter p ∪ s.filter q :=
ext $ λ _, by simp only [mem_filter, mem_union, and_or_distrib_left]
theorem filter_and [decidable_pred (λ a, p a ∧ q a)] (s : finset α) :
s.filter (λ a, p a ∧ q a) = s.filter p ∩ s.filter q :=
ext $ λ _, by simp only [mem_filter, mem_inter, and_comm, and.left_comm, and_self]
theorem filter_not [decidable_pred (λ a, ¬ p a)] (s : finset α) :
s.filter (λ a, ¬ p a) = s \ s.filter p :=
ext $ by simpa only [mem_filter, mem_sdiff, and_comm, not_and] using λ a, and_congr_right $
λ h : a ∈ s, (imp_iff_right h).symm.trans imp_not_comm
theorem sdiff_eq_filter (s₁ s₂ : finset α) :
s₁ \ s₂ = filter (∉ s₂) s₁ := ext $ λ _, by simp only [mem_sdiff, mem_filter]
theorem sdiff_eq_self (s₁ s₂ : finset α) :
s₁ \ s₂ = s₁ ↔ s₁ ∩ s₂ ⊆ ∅ :=
by { simp [subset.antisymm_iff],
split; intro h,
{ transitivity' ((s₁ \ s₂) ∩ s₂), mono, simp },
{ calc s₁ \ s₂
⊇ s₁ \ (s₁ ∩ s₂) : by simp [(⊇)]
... ⊇ s₁ \ ∅ : by mono using [(⊇)]
... ⊇ s₁ : by simp [(⊇)] } }
theorem filter_union_filter_neg_eq [decidable_pred (λ a, ¬ p a)]
(s : finset α) : s.filter p ∪ s.filter (λa, ¬ p a) = s :=
by simp only [filter_not, union_sdiff_of_subset (filter_subset p s)]
theorem filter_inter_filter_neg_eq (s : finset α) : s.filter p ∩ s.filter (λa, ¬ p a) = ∅ :=
by simp only [filter_not, inter_sdiff_self]
lemma subset_union_elim {s : finset α} {t₁ t₂ : set α} (h : ↑s ⊆ t₁ ∪ t₂) :
∃s₁ s₂ : finset α, s₁ ∪ s₂ = s ∧ ↑s₁ ⊆ t₁ ∧ ↑s₂ ⊆ t₂ \ t₁ :=
begin
classical,
refine ⟨s.filter (∈ t₁), s.filter (∉ t₁), _, _ , _⟩,
{ simp [filter_union_right, em] },
{ intro x, simp },
{ intro x, simp, intros hx hx₂, refine ⟨or.resolve_left (h hx) hx₂, hx₂⟩ }
end
/- We can simplify an application of filter where the decidability is inferred in "the wrong way" -/
@[simp] lemma filter_congr_decidable {α} (s : finset α) (p : α → Prop) (h : decidable_pred p)
[decidable_pred p] : @filter α p h s = s.filter p :=
by congr
section classical
open_locale classical
/-- The following instance allows us to write `{x ∈ s | p x}` for `finset.filter p s`.
Since the former notation requires us to define this for all propositions `p`, and `finset.filter`
only works for decidable propositions, the notation `{x ∈ s | p x}` is only compatible with
classical logic because it uses `classical.prop_decidable`.
We don't want to redo all lemmas of `finset.filter` for `has_sep.sep`, so we make sure that `simp`
unfolds the notation `{x ∈ s | p x}` to `finset.filter p s`. If `p` happens to be decidable, the
simp-lemma `finset.filter_congr_decidable` will make sure that `finset.filter` uses the right
instance for decidability.
-/
noncomputable instance {α : Type*} : has_sep α (finset α) := ⟨λ p x, x.filter p⟩
@[simp] lemma sep_def {α : Type*} (s : finset α) (p : α → Prop) : {x ∈ s | p x} = s.filter p := rfl
end classical
/--
After filtering out everything that does not equal a given value, at most that value remains.
This is equivalent to `filter_eq'` with the equality the other way.
-/
-- This is not a good simp lemma, as it would prevent `finset.mem_filter` from firing
-- on, e.g. `x ∈ s.filter(eq b)`.
lemma filter_eq [decidable_eq β] (s : finset β) (b : β) :
s.filter (eq b) = ite (b ∈ s) {b} ∅ :=
begin
split_ifs,
{ ext,
simp only [mem_filter, mem_singleton],
exact ⟨λ h, h.2.symm, by { rintro ⟨h⟩, exact ⟨h, rfl⟩, }⟩ },
{ ext,
simp only [mem_filter, not_and, iff_false, not_mem_empty],
rintros m ⟨e⟩, exact h m, }
end
/--
After filtering out everything that does not equal a given value, at most that value remains.
This is equivalent to `filter_eq` with the equality the other way.
-/
lemma filter_eq' [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, a = b) = ite (b ∈ s) {b} ∅ :=
trans (filter_congr (λ _ _, ⟨eq.symm, eq.symm⟩)) (filter_eq s b)
lemma filter_ne [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, b ≠ a) = s.erase b :=
by { ext, simp only [mem_filter, mem_erase, ne.def], tauto, }
lemma filter_ne' [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, a ≠ b) = s.erase b :=
trans (filter_congr (λ _ _, ⟨ne.symm, ne.symm⟩)) (filter_ne s b)
end filter
/-! ### range -/
section range
variables {n m l : ℕ}
/-- `range n` is the set of natural numbers less than `n`. -/
def range (n : ℕ) : finset ℕ := ⟨_, nodup_range n⟩
@[simp] theorem range_coe (n : ℕ) : (range n).1 = multiset.range n := rfl
@[simp] theorem mem_range : m ∈ range n ↔ m < n := mem_range
@[simp] theorem range_zero : range 0 = ∅ := rfl
@[simp] theorem range_one : range 1 = {0} := rfl
theorem range_succ : range (succ n) = insert n (range n) :=
eq_of_veq $ (range_succ n).trans $ (ndinsert_of_not_mem not_mem_range_self).symm
theorem range_add_one : range (n + 1) = insert n (range n) :=
range_succ
@[simp] theorem not_mem_range_self : n ∉ range n := not_mem_range_self
@[simp] theorem self_mem_range_succ (n : ℕ) : n ∈ range (n + 1) := multiset.self_mem_range_succ n
@[simp] theorem range_subset {n m} : range n ⊆ range m ↔ n ≤ m := range_subset
theorem range_mono : monotone range := λ _ _, range_subset.2
lemma mem_range_succ_iff {a b : ℕ} : a ∈ finset.range b.succ ↔ a ≤ b :=
finset.mem_range.trans nat.lt_succ_iff
lemma mem_range_le {n x : ℕ} (hx : x ∈ range n) : x ≤ n :=
(mem_range.1 hx).le
lemma mem_range_sub_ne_zero {n x : ℕ} (hx : x ∈ range n) : n - x ≠ 0 :=
ne_of_gt $ nat.sub_pos_of_lt $ mem_range.1 hx
end range
/- useful rules for calculations with quantifiers -/
theorem exists_mem_empty_iff (p : α → Prop) : (∃ x, x ∈ (∅ : finset α) ∧ p x) ↔ false :=
by simp only [not_mem_empty, false_and, exists_false]
theorem exists_mem_insert [d : decidable_eq α]
(a : α) (s : finset α) (p : α → Prop) :
(∃ x, x ∈ insert a s ∧ p x) ↔ p a ∨ (∃ x, x ∈ s ∧ p x) :=
by simp only [mem_insert, or_and_distrib_right, exists_or_distrib, exists_eq_left]
theorem forall_mem_empty_iff (p : α → Prop) : (∀ x, x ∈ (∅ : finset α) → p x) ↔ true :=
iff_true_intro $ λ _, false.elim
theorem forall_mem_insert [d : decidable_eq α]
(a : α) (s : finset α) (p : α → Prop) :
(∀ x, x ∈ insert a s → p x) ↔ p a ∧ (∀ x, x ∈ s → p x) :=
by simp only [mem_insert, or_imp_distrib, forall_and_distrib, forall_eq]
end finset
/-- Equivalence between the set of natural numbers which are `≥ k` and `ℕ`, given by `n → n - k`. -/
def not_mem_range_equiv (k : ℕ) : {n // n ∉ range k} ≃ ℕ :=
{ to_fun := λ i, i.1 - k,
inv_fun := λ j, ⟨j + k, by simp⟩,
left_inv :=
begin
assume j,
rw subtype.ext_iff_val,
apply nat.sub_add_cancel,
simpa using j.2
end,
right_inv := λ j, nat.add_sub_cancel _ _ }
@[simp] lemma coe_not_mem_range_equiv (k : ℕ) :
(not_mem_range_equiv k : {n // n ∉ range k} → ℕ) = (λ i, i - k) := rfl
@[simp] lemma coe_not_mem_range_equiv_symm (k : ℕ) :
((not_mem_range_equiv k).symm : ℕ → {n // n ∉ range k}) = λ j, ⟨j + k, by simp⟩ := rfl
namespace option
/-- Construct an empty or singleton finset from an `option` -/
def to_finset (o : option α) : finset α :=
match o with
| none := ∅
| some a := {a}
end
@[simp] theorem to_finset_none : none.to_finset = (∅ : finset α) := rfl
@[simp] theorem to_finset_some {a : α} : (some a).to_finset = {a} := rfl
@[simp] theorem mem_to_finset {a : α} {o : option α} : a ∈ o.to_finset ↔ a ∈ o :=
by cases o; simp only [to_finset, finset.mem_singleton, option.mem_def, eq_comm]; refl
end option
/-! ### erase_dup on list and multiset -/
namespace multiset
variable [decidable_eq α]
/-- `to_finset s` removes duplicates from the multiset `s` to produce a finset. -/
def to_finset (s : multiset α) : finset α := ⟨_, nodup_erase_dup s⟩
@[simp] theorem to_finset_val (s : multiset α) : s.to_finset.1 = s.erase_dup := rfl
theorem to_finset_eq {s : multiset α} (n : nodup s) : finset.mk s n = s.to_finset :=
finset.val_inj.1 (erase_dup_eq_self.2 n).symm
lemma nodup.to_finset_inj {l l' : multiset α} (hl : nodup l) (hl' : nodup l')
(h : l.to_finset = l'.to_finset) : l = l' :=
by simpa [←to_finset_eq hl, ←to_finset_eq hl'] using h
@[simp] theorem mem_to_finset {a : α} {s : multiset α} : a ∈ s.to_finset ↔ a ∈ s :=
mem_erase_dup
@[simp] lemma to_finset_zero :
to_finset (0 : multiset α) = ∅ :=
rfl
@[simp] lemma to_finset_cons (a : α) (s : multiset α) :
to_finset (a ::ₘ s) = insert a (to_finset s) :=
finset.eq_of_veq erase_dup_cons
@[simp] lemma to_finset_add (s t : multiset α) :
to_finset (s + t) = to_finset s ∪ to_finset t :=
finset.ext $ by simp
@[simp] lemma to_finset_nsmul (s : multiset α) :
∀(n : ℕ) (hn : n ≠ 0), (n • s).to_finset = s.to_finset
| 0 h := by contradiction
| (n+1) h :=
begin
by_cases n = 0,
{ rw [h, zero_add, one_nsmul] },
{ rw [add_nsmul, to_finset_add, one_nsmul, to_finset_nsmul n h, finset.union_idempotent] }
end
@[simp] lemma to_finset_inter (s t : multiset α) :
to_finset (s ∩ t) = to_finset s ∩ to_finset t :=
finset.ext $ by simp
@[simp] lemma to_finset_union (s t : multiset α) :
(s ∪ t).to_finset = s.to_finset ∪ t.to_finset :=
by ext; simp
theorem to_finset_eq_empty {m : multiset α} : m.to_finset = ∅ ↔ m = 0 :=
finset.val_inj.symm.trans multiset.erase_dup_eq_zero
@[simp] lemma to_finset_subset (m1 m2 : multiset α) :
m1.to_finset ⊆ m2.to_finset ↔ m1 ⊆ m2 :=
by simp only [finset.subset_iff, multiset.subset_iff, multiset.mem_to_finset]
end multiset
namespace finset
@[simp] lemma val_to_finset [decidable_eq α] (s : finset α) : s.val.to_finset = s :=
by { ext, rw [multiset.mem_to_finset, ←mem_def] }
end finset
namespace list
variable [decidable_eq α]
/-- `to_finset l` removes duplicates from the list `l` to produce a finset. -/
def to_finset (l : list α) : finset α := multiset.to_finset l
@[simp] theorem to_finset_val (l : list α) : l.to_finset.1 = (l.erase_dup : multiset α) := rfl
theorem to_finset_eq {l : list α} (n : nodup l) : @finset.mk α l n = l.to_finset :=
multiset.to_finset_eq n
@[simp] theorem mem_to_finset {a : α} {l : list α} : a ∈ l.to_finset ↔ a ∈ l :=
mem_erase_dup
@[simp] theorem to_finset_nil : to_finset (@nil α) = ∅ :=
rfl
@[simp] theorem to_finset_cons {a : α} {l : list α} : to_finset (a :: l) = insert a (to_finset l) :=
finset.eq_of_veq $ by by_cases h : a ∈ l; simp [finset.insert_val', multiset.erase_dup_cons, h]
lemma to_finset_surj_on : set.surj_on to_finset {l : list α | l.nodup} set.univ :=
begin
rintro s -,
cases s with t hl, induction t using quot.ind with l,
refine ⟨l, hl, (to_finset_eq hl).symm⟩
end
theorem to_finset_surjective : surjective (to_finset : list α → finset α) :=
by { intro s, rcases to_finset_surj_on (set.mem_univ s) with ⟨l, -, hls⟩, exact ⟨l, hls⟩ }
lemma to_finset_eq_iff_perm_erase_dup {l l' : list α} :
l.to_finset = l'.to_finset ↔ l.erase_dup ~ l'.erase_dup :=
by simp [finset.ext_iff, perm_ext (nodup_erase_dup _) (nodup_erase_dup _)]
lemma to_finset_eq_of_perm (l l' : list α) (h : l ~ l') :
l.to_finset = l'.to_finset :=
to_finset_eq_iff_perm_erase_dup.mpr h.erase_dup
lemma perm_of_nodup_nodup_to_finset_eq {l l' : list α} (hl : nodup l) (hl' : nodup l')
(h : l.to_finset = l'.to_finset) : l ~ l' :=
begin
rw ←multiset.coe_eq_coe,
exact multiset.nodup.to_finset_inj hl hl' h
end
@[simp] lemma to_finset_append {l l' : list α} :
to_finset (l ++ l') = l.to_finset ∪ l'.to_finset :=
begin
induction l with hd tl hl,
{ simp },
{ simp [hl] }
end
@[simp] lemma to_finset_reverse {l : list α} :
to_finset l.reverse = l.to_finset :=
to_finset_eq_of_perm _ _ (reverse_perm l)
end list
namespace finset
lemma exists_list_nodup_eq [decidable_eq α] (s : finset α) :
∃ (l : list α), l.nodup ∧ l.to_finset = s :=
begin
obtain ⟨⟨l⟩, hs⟩ := s,
exact ⟨l, hs, (list.to_finset_eq _).symm⟩,
end
/-! ### map -/
section map
open function
/-- When `f` is an embedding of `α` in `β` and `s` is a finset in `α`, then `s.map f` is the image
finset in `β`. The embedding condition guarantees that there are no duplicates in the image. -/
def map (f : α ↪ β) (s : finset α) : finset β :=
⟨s.1.map f, nodup_map f.2 s.2⟩
@[simp] theorem map_val (f : α ↪ β) (s : finset α) : (map f s).1 = s.1.map f := rfl
@[simp] theorem map_empty (f : α ↪ β) : (∅ : finset α).map f = ∅ := rfl
variables {f : α ↪ β} {s : finset α}
@[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b :=
mem_map.trans $ by simp only [exists_prop]; refl
@[simp] theorem mem_map_equiv {f : α ≃ β} {b : β} :
b ∈ s.map f.to_embedding ↔ f.symm b ∈ s :=
by { rw mem_map, exact ⟨by { rintro ⟨a, H, rfl⟩, simpa }, λ h, ⟨_, h, by simp⟩⟩ }
theorem mem_map' (f : α ↪ β) {a} {s : finset α} : f a ∈ s.map f ↔ a ∈ s :=
mem_map_of_injective f.2
theorem mem_map_of_mem (f : α ↪ β) {a} {s : finset α} : a ∈ s → f a ∈ s.map f :=
(mem_map' _).2
lemma apply_coe_mem_map (f : α ↪ β) (s : finset α) (x : s) : f x ∈ s.map f :=
mem_map_of_mem f x.prop
@[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : finset α) : (s.map f : set β) = f '' s :=
set.ext $ λ x, mem_map.trans set.mem_image_iff_bex.symm
theorem coe_map_subset_range (f : α ↪ β) (s : finset α) : (s.map f : set β) ⊆ set.range f :=
calc ↑(s.map f) = f '' s : coe_map f s
... ⊆ set.range f : set.image_subset_range f ↑s
theorem map_to_finset [decidable_eq α] [decidable_eq β] {s : multiset α} :
s.to_finset.map f = (s.map f).to_finset :=
ext $ λ _, by simp only [mem_map, multiset.mem_map, exists_prop, multiset.mem_to_finset]
@[simp] theorem map_refl : s.map (embedding.refl _) = s :=
ext $ λ _, by simpa only [mem_map, exists_prop] using exists_eq_right
@[simp] theorem map_cast_heq {α β} (h : α = β) (s : finset α) :
s.map (equiv.cast h).to_embedding == s :=
by { subst h, simp }
theorem map_map {g : β ↪ γ} : (s.map f).map g = s.map (f.trans g) :=
eq_of_veq $ by simp only [map_val, multiset.map_map]; refl
theorem map_subset_map {s₁ s₂ : finset α} : s₁.map f ⊆ s₂.map f ↔ s₁ ⊆ s₂ :=
⟨λ h x xs, (mem_map' _).1 $ h $ (mem_map' f).2 xs,
λ h, by simp [subset_def, map_subset_map h]⟩
theorem map_inj {s₁ s₂ : finset α} : s₁.map f = s₂.map f ↔ s₁ = s₂ :=
by simp only [subset.antisymm_iff, map_subset_map]
/-- Associate to an embedding `f` from `α` to `β` the embedding that maps a finset to its image
under `f`. -/
def map_embedding (f : α ↪ β) : finset α ↪ finset β := ⟨map f, λ s₁ s₂, map_inj.1⟩
@[simp] theorem map_embedding_apply : map_embedding f s = map f s := rfl
theorem map_filter {p : β → Prop} [decidable_pred p] :
(s.map f).filter p = (s.filter (p ∘ f)).map f :=
eq_of_veq (map_filter _ _ _)
theorem map_union [decidable_eq α] [decidable_eq β]
{f : α ↪ β} (s₁ s₂ : finset α) : (s₁ ∪ s₂).map f = s₁.map f ∪ s₂.map f :=
ext $ λ _, by simp only [mem_map, mem_union, exists_prop, or_and_distrib_right, exists_or_distrib]
theorem map_inter [decidable_eq α] [decidable_eq β]
{f : α ↪ β} (s₁ s₂ : finset α) : (s₁ ∩ s₂).map f = s₁.map f ∩ s₂.map f :=
ext $ λ b, by simp only [mem_map, mem_inter, exists_prop]; exact
⟨by rintro ⟨a, ⟨m₁, m₂⟩, rfl⟩; exact ⟨⟨a, m₁, rfl⟩, ⟨a, m₂, rfl⟩⟩,
by rintro ⟨⟨a, m₁, e⟩, ⟨a', m₂, rfl⟩⟩; cases f.2 e; exact ⟨_, ⟨m₁, m₂⟩, rfl⟩⟩
@[simp] theorem map_singleton (f : α ↪ β) (a : α) : map f {a} = {f a} :=
ext $ λ _, by simp only [mem_map, mem_singleton, exists_prop, exists_eq_left]; exact eq_comm
@[simp] theorem map_insert [decidable_eq α] [decidable_eq β]
(f : α ↪ β) (a : α) (s : finset α) :
(insert a s).map f = insert (f a) (s.map f) :=
by simp only [insert_eq, map_union, map_singleton]
@[simp] theorem map_eq_empty : s.map f = ∅ ↔ s = ∅ :=
⟨λ h, eq_empty_of_forall_not_mem $
λ a m, ne_empty_of_mem (mem_map_of_mem _ m) h, λ e, e.symm ▸ rfl⟩
lemma attach_map_val {s : finset α} : s.attach.map (embedding.subtype _) = s :=
eq_of_veq $ by rw [map_val, attach_val]; exact attach_map_val _
lemma nonempty.map (h : s.nonempty) (f : α ↪ β) : (s.map f).nonempty :=
let ⟨a, ha⟩ := h in ⟨f a, (mem_map' f).mpr ha⟩
end map
lemma range_add_one' (n : ℕ) :
range (n + 1) = insert 0 ((range n).map ⟨λi, i + 1, assume i j, nat.succ.inj⟩) :=
by ext (⟨⟩ | ⟨n⟩); simp [nat.succ_eq_add_one, nat.zero_lt_succ n]
/-! ### image -/
section image
variables [decidable_eq β]
/-- `image f s` is the forward image of `s` under `f`. -/
def image (f : α → β) (s : finset α) : finset β := (s.1.map f).to_finset
@[simp] theorem image_val (f : α → β) (s : finset α) : (image f s).1 = (s.1.map f).erase_dup := rfl
@[simp] theorem image_empty (f : α → β) : (∅ : finset α).image f = ∅ := rfl
variables {f : α → β} {s : finset α}
@[simp] theorem mem_image {b : β} : b ∈ s.image f ↔ ∃ a ∈ s, f a = b :=
by simp only [mem_def, image_val, mem_erase_dup, multiset.mem_map, exists_prop]
theorem mem_image_of_mem (f : α → β) {a} {s : finset α} (h : a ∈ s) : f a ∈ s.image f :=
mem_image.2 ⟨_, h, rfl⟩
lemma filter_mem_image_eq_image (f : α → β) (s : finset α) (t : finset β) (h : ∀ x ∈ s, f x ∈ t) :
t.filter (λ y, y ∈ s.image f) = s.image f :=
by { ext, rw [mem_filter, mem_image],
simp only [and_imp, exists_prop, and_iff_right_iff_imp, exists_imp_distrib],
rintros x xel rfl, exact h _ xel }
lemma fiber_nonempty_iff_mem_image (f : α → β) (s : finset α) (y : β) :
(s.filter (λ x, f x = y)).nonempty ↔ y ∈ s.image f :=
by simp [finset.nonempty]
@[simp, norm_cast] lemma coe_image {f : α → β} : ↑(s.image f) = f '' ↑s :=
set.ext $ λ _, mem_image.trans set.mem_image_iff_bex.symm
lemma nonempty.image (h : s.nonempty) (f : α → β) : (s.image f).nonempty :=
let ⟨a, ha⟩ := h in ⟨f a, mem_image_of_mem f ha⟩
@[simp]
lemma nonempty.image_iff (f : α → β) : (s.image f).nonempty ↔ s.nonempty :=
⟨λ ⟨y, hy⟩, let ⟨x, hx, _⟩ := mem_image.mp hy in ⟨x, hx⟩, λ h, h.image f⟩
theorem image_to_finset [decidable_eq α] {s : multiset α} :
s.to_finset.image f = (s.map f).to_finset :=
ext $ λ _, by simp only [mem_image, multiset.mem_to_finset, exists_prop, multiset.mem_map]
theorem image_val_of_inj_on (H : set.inj_on f s) : (image f s).1 = s.1.map f :=
multiset.erase_dup_eq_self.2 (nodup_map_on H s.2)
@[simp]
theorem image_id [decidable_eq α] : s.image id = s :=
ext $ λ _, by simp only [mem_image, exists_prop, id, exists_eq_right]
theorem image_image [decidable_eq γ] {g : β → γ} : (s.image f).image g = s.image (g ∘ f) :=
eq_of_veq $ by simp only [image_val, erase_dup_map_erase_dup_eq, multiset.map_map]
theorem image_subset_image {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁.image f ⊆ s₂.image f :=
by simp only [subset_def, image_val, subset_erase_dup', erase_dup_subset',
multiset.map_subset_map h]
theorem image_subset_iff {s : finset α} {t : finset β} {f : α → β} :
s.image f ⊆ t ↔ ∀ x ∈ s, f x ∈ t :=
calc s.image f ⊆ t ↔ f '' ↑s ⊆ ↑t : by norm_cast
... ↔ _ : set.image_subset_iff
theorem image_mono (f : α → β) : monotone (finset.image f) := λ _ _, image_subset_image
theorem coe_image_subset_range : ↑(s.image f) ⊆ set.range f :=
calc ↑(s.image f) = f '' ↑s : coe_image
... ⊆ set.range f : set.image_subset_range f ↑s
theorem image_filter {p : β → Prop} [decidable_pred p] :
(s.image f).filter p = (s.filter (p ∘ f)).image f :=
ext $ λ b, by simp only [mem_filter, mem_image, exists_prop]; exact
⟨by rintro ⟨⟨x, h1, rfl⟩, h2⟩; exact ⟨x, ⟨h1, h2⟩, rfl⟩,
by rintro ⟨x, ⟨h1, h2⟩, rfl⟩; exact ⟨⟨x, h1, rfl⟩, h2⟩⟩
theorem image_union [decidable_eq α] {f : α → β} (s₁ s₂ : finset α) :
(s₁ ∪ s₂).image f = s₁.image f ∪ s₂.image f :=
ext $ λ _, by simp only [mem_image, mem_union, exists_prop, or_and_distrib_right,
exists_or_distrib]
theorem image_inter [decidable_eq α] (s₁ s₂ : finset α) (hf : ∀x y, f x = f y → x = y) :
(s₁ ∩ s₂).image f = s₁.image f ∩ s₂.image f :=
ext $ by simp only [mem_image, exists_prop, mem_inter]; exact λ b,
⟨λ ⟨a, ⟨m₁, m₂⟩, e⟩, ⟨⟨a, m₁, e⟩, ⟨a, m₂, e⟩⟩,
λ ⟨⟨a, m₁, e₁⟩, ⟨a', m₂, e₂⟩⟩, ⟨a, ⟨m₁, hf _ _ (e₂.trans e₁.symm) ▸ m₂⟩, e₁⟩⟩.
@[simp] theorem image_singleton (f : α → β) (a : α) : image f {a} = {f a} :=
ext $ λ x, by simpa only [mem_image, exists_prop, mem_singleton, exists_eq_left] using eq_comm
@[simp] theorem image_insert [decidable_eq α] (f : α → β) (a : α) (s : finset α) :
(insert a s).image f = insert (f a) (s.image f) :=
by simp only [insert_eq, image_singleton, image_union]
@[simp] theorem image_eq_empty : s.image f = ∅ ↔ s = ∅ :=
⟨λ h, eq_empty_of_forall_not_mem $
λ a m, ne_empty_of_mem (mem_image_of_mem _ m) h, λ e, e.symm ▸ rfl⟩
lemma mem_range_iff_mem_finset_range_of_mod_eq' [decidable_eq α] {f : ℕ → α} {a : α} {n : ℕ}
(hn : 0 < n) (h : ∀i, f (i % n) = f i) :
a ∈ set.range f ↔ a ∈ (finset.range n).image (λi, f i) :=
begin
split,
{ rintros ⟨i, hi⟩,
simp only [mem_image, exists_prop, mem_range],
exact ⟨i % n, nat.mod_lt i hn, (rfl.congr hi).mp (h i)⟩ },
{ rintro h,
simp only [mem_image, exists_prop, set.mem_range, mem_range] at *,
rcases h with ⟨i, hi, ha⟩,
use ⟨i, ha⟩ },
end
lemma mem_range_iff_mem_finset_range_of_mod_eq [decidable_eq α] {f : ℤ → α} {a : α} {n : ℕ}
(hn : 0 < n) (h : ∀i, f (i % n) = f i) :
a ∈ set.range f ↔ a ∈ (finset.range n).image (λi, f i) :=
suffices (∃i, f (i % n) = a) ↔ ∃i, i < n ∧ f ↑i = a, by simpa [h],
have hn' : 0 < (n : ℤ), from int.coe_nat_lt.mpr hn,
iff.intro
(assume ⟨i, hi⟩,
have 0 ≤ i % ↑n, from int.mod_nonneg _ (ne_of_gt hn'),
⟨int.to_nat (i % n),
by rw [←int.coe_nat_lt, int.to_nat_of_nonneg this]; exact ⟨int.mod_lt_of_pos i hn', hi⟩⟩)
(assume ⟨i, hi, ha⟩,
⟨i, by rw [int.mod_eq_of_lt (int.coe_zero_le _) (int.coe_nat_lt_coe_nat_of_lt hi), ha]⟩)
lemma attach_image_val [decidable_eq α] {s : finset α} : s.attach.image subtype.val = s :=
eq_of_veq $ by rw [image_val, attach_val, multiset.attach_map_val, erase_dup_eq_self]
@[simp] lemma attach_insert [decidable_eq α] {a : α} {s : finset α} :
attach (insert a s) = insert (⟨a, mem_insert_self a s⟩ : {x // x ∈ insert a s})
((attach s).image (λx, ⟨x.1, mem_insert_of_mem x.2⟩)) :=
ext $ λ ⟨x, hx⟩, ⟨or.cases_on (mem_insert.1 hx)
(λ h : x = a, λ _, mem_insert.2 $ or.inl $ subtype.eq h)
(λ h : x ∈ s, λ _, mem_insert_of_mem $ mem_image.2 $ ⟨⟨x, h⟩, mem_attach _ _, subtype.eq rfl⟩),
λ _, finset.mem_attach _ _⟩
theorem map_eq_image (f : α ↪ β) (s : finset α) : s.map f = s.image f :=
eq_of_veq $ (multiset.erase_dup_eq_self.2 (s.map f).2).symm
lemma image_const {s : finset α} (h : s.nonempty) (b : β) : s.image (λa, b) = singleton b :=
ext $ assume b', by simp only [mem_image, exists_prop, exists_and_distrib_right,
h.bex, true_and, mem_singleton, eq_comm]
/--
Because `finset.image` requires a `decidable_eq` instances for the target type,
we can only construct a `functor finset` when working classically.
-/
instance [Π P, decidable P] : functor finset :=
{ map := λ α β f s, s.image f, }
instance [Π P, decidable P] : is_lawful_functor finset :=
{ id_map := λ α x, image_id,
comp_map := λ α β γ f g s, image_image.symm, }
/-- Given a finset `s` and a predicate `p`, `s.subtype p` is the finset of `subtype p` whose
elements belong to `s`. -/
protected def subtype {α} (p : α → Prop) [decidable_pred p] (s : finset α) : finset (subtype p) :=
(s.filter p).attach.map ⟨λ x, ⟨x.1, (finset.mem_filter.1 x.2).2⟩,
λ x y H, subtype.eq $ subtype.mk.inj H⟩
@[simp] lemma mem_subtype {p : α → Prop} [decidable_pred p] {s : finset α} :
∀{a : subtype p}, a ∈ s.subtype p ↔ (a : α) ∈ s
| ⟨a, ha⟩ := by simp [finset.subtype, ha]
lemma subtype_eq_empty {p : α → Prop} [decidable_pred p] {s : finset α} :
s.subtype p = ∅ ↔ ∀ x, p x → x ∉ s :=
by simp [ext_iff, subtype.forall, subtype.coe_mk]; refl
/-- `s.subtype p` converts back to `s.filter p` with
`embedding.subtype`. -/
@[simp] lemma subtype_map (p : α → Prop) [decidable_pred p] :
(s.subtype p).map (embedding.subtype _) = s.filter p :=
begin
ext x,
rw mem_map,
change (∃ a : {x // p x}, ∃ H, (a : α) = x) ↔ _,
split,
{ rintros ⟨y, hy, hyval⟩,
rw [mem_subtype, hyval] at hy,
rw mem_filter,
use hy,
rw ← hyval,
use y.property },
{ intro hx,
rw mem_filter at hx,
use ⟨⟨x, hx.2⟩, mem_subtype.2 hx.1, rfl⟩ }
end
/-- If all elements of a `finset` satisfy the predicate `p`,
`s.subtype p` converts back to `s` with `embedding.subtype`. -/
lemma subtype_map_of_mem {p : α → Prop} [decidable_pred p] (h : ∀ x ∈ s, p x) :
(s.subtype p).map (embedding.subtype _) = s :=
by rw [subtype_map, filter_true_of_mem h]
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, all elements of the result have the property of
the subtype. -/
lemma property_of_mem_map_subtype {p : α → Prop} (s : finset {x // p x}) {a : α}
(h : a ∈ s.map (embedding.subtype _)) : p a :=
begin
rcases mem_map.1 h with ⟨x, hx, rfl⟩,
exact x.2
end
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, the result does not contain any value that does
not satisfy the property of the subtype. -/
lemma not_mem_map_subtype_of_not_property {p : α → Prop} (s : finset {x // p x})
{a : α} (h : ¬ p a) : a ∉ (s.map (embedding.subtype _)) :=
mt s.property_of_mem_map_subtype h
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, the result is a subset of the set giving the
subtype. -/
lemma map_subtype_subset {t : set α} (s : finset t) :
↑(s.map (embedding.subtype _)) ⊆ t :=
begin
intros a ha,
rw mem_coe at ha,
convert property_of_mem_map_subtype s ha
end
lemma subset_image_iff {f : α → β}
{s : finset β} {t : set α} : ↑s ⊆ f '' t ↔ ∃s' : finset α, ↑s' ⊆ t ∧ s'.image f = s :=
begin
classical,
split, swap,
{ rintro ⟨s, hs, rfl⟩, rw [coe_image], exact set.image_subset f hs },
intro h, induction s using finset.induction with a s has ih h,
{ refine ⟨∅, set.empty_subset _, _⟩,
convert finset.image_empty _ },
rw [finset.coe_insert, set.insert_subset] at h,
rcases ih h.2 with ⟨s', hst, hsi⟩,
rcases h.1 with ⟨x, hxt, rfl⟩,
refine ⟨insert x s', _, _⟩,
{ rw [finset.coe_insert, set.insert_subset], exact ⟨hxt, hst⟩ },
rw [finset.image_insert, hsi],
congr
end
end image
end finset
theorem multiset.to_finset_map [decidable_eq α] [decidable_eq β] (f : α → β) (m : multiset α) :
(m.map f).to_finset = m.to_finset.image f :=
finset.val_inj.1 (multiset.erase_dup_map_erase_dup_eq _ _).symm
namespace finset
/-! ### card -/
section card
/-- `card s` is the cardinality (number of elements) of `s`. -/
def card (s : finset α) : nat := s.1.card
theorem card_def (s : finset α) : s.card = s.1.card := rfl
@[simp] lemma card_mk {m nodup} : (⟨m, nodup⟩ : finset α).card = m.card := rfl
@[simp] theorem card_empty : card (∅ : finset α) = 0 := rfl
theorem card_le_of_subset {s t : finset α} : s ⊆ t → card s ≤ card t :=
multiset.card_le_of_le ∘ val_le_iff.mpr
@[simp] theorem card_eq_zero {s : finset α} : card s = 0 ↔ s = ∅ :=
card_eq_zero.trans val_eq_zero
theorem card_pos {s : finset α} : 0 < card s ↔ s.nonempty :=
pos_iff_ne_zero.trans $ (not_congr card_eq_zero).trans nonempty_iff_ne_empty.symm
theorem card_ne_zero_of_mem {s : finset α} {a : α} (h : a ∈ s) : card s ≠ 0 :=
(not_congr card_eq_zero).2 (ne_empty_of_mem h)
theorem card_eq_one {s : finset α} : s.card = 1 ↔ ∃ a, s = {a} :=
by cases s; simp only [multiset.card_eq_one, finset.card, ← val_inj, singleton_val]
theorem card_le_one {s : finset α} : s.card ≤ 1 ↔ ∀ (a ∈ s) (b ∈ s), a = b :=
begin
rcases s.eq_empty_or_nonempty with rfl|⟨x, hx⟩, { simp },
refine (nat.succ_le_of_lt (card_pos.2 ⟨x, hx⟩)).le_iff_eq.trans (card_eq_one.trans ⟨_, _⟩),
{ rintro ⟨y, rfl⟩, simp },
{ exact λ h, ⟨x, eq_singleton_iff_unique_mem.2 ⟨hx, λ y hy, h _ hy _ hx⟩⟩ }
end
theorem card_le_one_iff {s : finset α} : s.card ≤ 1 ↔ ∀ {a b}, a ∈ s → b ∈ s → a = b :=
by { rw card_le_one, tauto }
lemma card_le_one_iff_subset_singleton [nonempty α] {s : finset α} :
s.card ≤ 1 ↔ ∃ (x : α), s ⊆ {x} :=
begin
split,
{ assume H,
by_cases h : ∃ x, x ∈ s,
{ rcases h with ⟨x, hx⟩,
refine ⟨x, λ y hy, _⟩,
rw [card_le_one.1 H y hy x hx, mem_singleton] },
{ push_neg at h,
inhabit α,
exact ⟨default α, λ y hy, (h y hy).elim⟩ } },
{ rintros ⟨x, hx⟩,
rw ← card_singleton x,
exact card_le_of_subset hx }
end
/-- A `finset` of a subsingleton type has cardinality at most one. -/
lemma card_le_one_of_subsingleton [subsingleton α] (s : finset α) : s.card ≤ 1 :=
finset.card_le_one_iff.2 $ λ _ _ _ _, subsingleton.elim _ _
theorem one_lt_card {s : finset α} : 1 < s.card ↔ ∃ (a ∈ s) (b ∈ s), a ≠ b :=
by { rw ← not_iff_not, push_neg, exact card_le_one }
lemma one_lt_card_iff {s : finset α} :
1 < s.card ↔ ∃ x y, (x ∈ s) ∧ (y ∈ s) ∧ x ≠ y :=
by { rw one_lt_card, simp only [exists_prop, exists_and_distrib_left] }
@[simp] theorem card_insert_of_not_mem [decidable_eq α]
{a : α} {s : finset α} (h : a ∉ s) : card (insert a s) = card s + 1 :=
by simpa only [card_cons, card, insert_val] using
congr_arg multiset.card (ndinsert_of_not_mem h)
theorem card_insert_of_mem [decidable_eq α] {a : α} {s : finset α}
(h : a ∈ s) : card (insert a s) = card s := by rw insert_eq_of_mem h
theorem card_insert_le [decidable_eq α] (a : α) (s : finset α) : card (insert a s) ≤ card s + 1 :=
by by_cases a ∈ s; [{rw [insert_eq_of_mem h], apply nat.le_add_right},
rw [card_insert_of_not_mem h]]
@[simp] theorem card_singleton (a : α) : card ({a} : finset α) = 1 := card_singleton _
lemma card_singleton_inter [decidable_eq α] {x : α} {s : finset α} : ({x} ∩ s).card ≤ 1 :=
begin
cases (finset.decidable_mem x s),
{ simp [finset.singleton_inter_of_not_mem h] },
{ simp [finset.singleton_inter_of_mem h] },
end
theorem card_erase_of_mem [decidable_eq α] {a : α} {s : finset α} :
a ∈ s → card (erase s a) = pred (card s) := card_erase_of_mem
theorem card_erase_lt_of_mem [decidable_eq α] {a : α} {s : finset α} :
a ∈ s → card (erase s a) < card s := card_erase_lt_of_mem
theorem card_erase_le [decidable_eq α] {a : α} {s : finset α} :
card (erase s a) ≤ card s := card_erase_le
theorem pred_card_le_card_erase [decidable_eq α] {a : α} {s : finset α} :
card s - 1 ≤ card (erase s a) :=
begin
by_cases h : a ∈ s,
{ rw [card_erase_of_mem h], refl },
{ rw [erase_eq_of_not_mem h], apply nat.sub_le }
end
@[simp] theorem card_range (n : ℕ) : card (range n) = n := card_range n
@[simp] theorem card_attach {s : finset α} : card (attach s) = card s := multiset.card_attach
end card
end finset
theorem multiset.to_finset_card_le [decidable_eq α] (m : multiset α) : m.to_finset.card ≤ m.card :=
card_le_of_le (erase_dup_le _)
lemma list.card_to_finset [decidable_eq α] (l : list α) :
finset.card l.to_finset = l.erase_dup.length := rfl
theorem list.to_finset_card_le [decidable_eq α] (l : list α) : l.to_finset.card ≤ l.length :=
multiset.to_finset_card_le ⟦l⟧
namespace finset
section card
theorem card_image_le [decidable_eq β] {f : α → β} {s : finset α} : card (image f s) ≤ card s :=
by simpa only [card_map] using (s.1.map f).to_finset_card_le
theorem card_image_of_inj_on [decidable_eq β] {f : α → β} {s : finset α}
(H : set.inj_on f s) : card (image f s) = card s :=
by simp only [card, image_val_of_inj_on H, card_map]
theorem inj_on_of_card_image_eq [decidable_eq β] {f : α → β} {s : finset α}
(H : card (image f s) = card s) :
set.inj_on f s :=
begin
change (s.1.map f).erase_dup.card = s.1.card at H,
have : (s.1.map f).erase_dup = s.1.map f,
{ apply multiset.eq_of_le_of_card_le,
{ apply multiset.erase_dup_le },
rw H,
simp only [multiset.card_map] },
rw multiset.erase_dup_eq_self at this,
apply inj_on_of_nodup_map this,
end
theorem card_image_eq_iff_inj_on [decidable_eq β] {f : α → β} {s : finset α} :
(s.image f).card = s.card ↔ set.inj_on f s :=
⟨inj_on_of_card_image_eq, card_image_of_inj_on⟩
theorem card_image_of_injective [decidable_eq β] {f : α → β} (s : finset α)
(H : injective f) : card (image f s) = card s :=
card_image_of_inj_on $ λ x _ y _ h, H h
lemma fiber_card_ne_zero_iff_mem_image (s : finset α) (f : α → β) [decidable_eq β] (y : β) :
(s.filter (λ x, f x = y)).card ≠ 0 ↔ y ∈ s.image f :=
by { rw [←pos_iff_ne_zero, card_pos, fiber_nonempty_iff_mem_image] }
@[simp] lemma card_map {α β} (f : α ↪ β) {s : finset α} : (s.map f).card = s.card :=
multiset.card_map _ _
@[simp] lemma card_subtype (p : α → Prop) [decidable_pred p] (s : finset α) :
(s.subtype p).card = (s.filter p).card :=
by simp [finset.subtype]
lemma card_eq_of_bijective {s : finset α} {n : ℕ}
(f : ∀i, i < n → α)
(hf : ∀a∈s, ∃i, ∃h:i<n, f i h = a) (hf' : ∀i (h : i < n), f i h ∈ s)
(f_inj : ∀i j (hi : i < n) (hj : j < n), f i hi = f j hj → i = j) :
card s = n :=
begin
classical,
have : ∀ (a : α), a ∈ s ↔ ∃i (hi : i ∈ range n), f i (mem_range.1 hi) = a,
from assume a, ⟨assume ha, let ⟨i, hi, eq⟩ := hf a ha in ⟨i, mem_range.2 hi, eq⟩,
assume ⟨i, hi, eq⟩, eq ▸ hf' i (mem_range.1 hi)⟩,
have : s = ((range n).attach.image $ λi, f i.1 (mem_range.1 i.2)),
by simpa only [ext_iff, mem_image, exists_prop, subtype.exists, mem_attach, true_and],
calc card s = card ((range n).attach.image $ λi, f i.1 (mem_range.1 i.2)) :
by rw [this]
... = card ((range n).attach) :
card_image_of_injective _ $ assume ⟨i, hi⟩ ⟨j, hj⟩ eq,
subtype.eq $ f_inj i j (mem_range.1 hi) (mem_range.1 hj) eq
... = card (range n) : card_attach
... = n : card_range n
end
lemma card_eq_succ [decidable_eq α] {s : finset α} {n : ℕ} :
s.card = n + 1 ↔ (∃a t, a ∉ t ∧ insert a t = s ∧ card t = n) :=
iff.intro
(assume eq,
have 0 < card s, from eq.symm ▸ nat.zero_lt_succ _,
let ⟨a, has⟩ := card_pos.mp this in
⟨a, s.erase a, s.not_mem_erase a, insert_erase has,
by simp only [eq, card_erase_of_mem has, pred_succ]⟩)
(assume ⟨a, t, hat, s_eq, n_eq⟩, s_eq ▸ n_eq ▸ card_insert_of_not_mem hat)
theorem card_filter_le (s : finset α) (p : α → Prop) [decidable_pred p] :
card (s.filter p) ≤ card s :=
card_le_of_subset $ filter_subset _ _
theorem eq_of_subset_of_card_le {s t : finset α} (h : s ⊆ t) (h₂ : card t ≤ card s) : s = t :=
eq_of_veq $ multiset.eq_of_le_of_card_le (val_le_iff.mpr h) h₂
lemma card_lt_card {s t : finset α} (h : s ⊂ t) : s.card < t.card :=
card_lt_of_lt (val_lt_iff.2 h)
lemma card_le_card_of_inj_on {s : finset α} {t : finset β}
(f : α → β) (hf : ∀a∈s, f a ∈ t) (f_inj : ∀a₁∈s, ∀a₂∈s, f a₁ = f a₂ → a₁ = a₂) :
card s ≤ card t :=
begin
classical,
calc card s = card (s.image f) : by rw [card_image_of_inj_on f_inj]
... ≤ card t : card_le_of_subset $ image_subset_iff.2 hf
end
/--
If there are more pigeons than pigeonholes, then there are two pigeons
in the same pigeonhole.
-/
lemma exists_ne_map_eq_of_card_lt_of_maps_to {s : finset α} {t : finset β} (hc : t.card < s.card)
{f : α → β} (hf : ∀ a ∈ s, f a ∈ t) :
∃ (x ∈ s) (y ∈ s), x ≠ y ∧ f x = f y :=
begin
classical, by_contra hz, push_neg at hz,
refine hc.not_le (card_le_card_of_inj_on f hf _),
intros x hx y hy, contrapose, exact hz x hx y hy,
end
lemma le_card_of_inj_on_range {n} {s : finset α}
(f : ℕ → α) (hf : ∀i<n, f i ∈ s) (f_inj : ∀ (i<n) (j<n), f i = f j → i = j) : n ≤ card s :=
calc n = card (range n) : (card_range n).symm
... ≤ card s : card_le_card_of_inj_on f (by simpa only [mem_range]) (by simpa only [mem_range])
/-- Suppose that, given objects defined on all strict subsets of any finset `s`, one knows how to
define an object on `s`. Then one can inductively define an object on all finsets, starting from
the empty set and iterating. This can be used either to define data, or to prove properties. -/
def strong_induction {p : finset α → Sort*} (H : ∀ s, (∀ t ⊂ s, p t) → p s) :
∀ (s : finset α), p s
| s := H s (λ t h, have card t < card s, from card_lt_card h, strong_induction t)
using_well_founded {rel_tac := λ _ _, `[exact ⟨_, measure_wf card⟩]}
lemma strong_induction_eq {p : finset α → Sort*} (H : ∀ s, (∀ t ⊂ s, p t) → p s) (s : finset α) :
strong_induction H s = H s (λ t h, strong_induction H t) :=
by rw strong_induction
/-- Analogue of `strong_induction` with order of arguments swapped. -/
@[elab_as_eliminator] def strong_induction_on {p : finset α → Sort*} :
∀ (s : finset α), (∀s, (∀ t ⊂ s, p t) → p s) → p s :=
λ s H, strong_induction H s
lemma strong_induction_on_eq {p : finset α → Sort*} (s : finset α) (H : ∀ s, (∀ t ⊂ s, p t) → p s) :
s.strong_induction_on H = H s (λ t h, t.strong_induction_on H) :=
by { dunfold strong_induction_on, rw strong_induction }
@[elab_as_eliminator] lemma case_strong_induction_on [decidable_eq α] {p : finset α → Prop}
(s : finset α) (h₀ : p ∅) (h₁ : ∀ a s, a ∉ s → (∀ t ⊆ s, p t) → p (insert a s)) : p s :=
finset.strong_induction_on s $ λ s,
finset.induction_on s (λ _, h₀) $ λ a s n _ ih, h₁ a s n $
λ t ss, ih _ (lt_of_le_of_lt ss (ssubset_insert n) : t < _)
/-- Suppose that, given that `p t` can be defined on all supersets of `s` of cardinality less than
`n`, one knows how to define `p s`. Then one can inductively define `p s` for all finsets `s` of
cardinality less than `n`, starting from finsets of card `n` and iterating. This
can be used either to define data, or to prove properties. -/
def strong_downward_induction {p : finset α → Sort*} {n : ℕ} (H : ∀ t₁, (∀ {t₂ : finset α},
t₂.card ≤ n → t₁ ⊂ t₂ → p t₂) → t₁.card ≤ n → p t₁) :
∀ (s : finset α), s.card ≤ n → p s
| s := H s (λ t ht h, have n - card t < n - card s,
from (nat.sub_lt_sub_left_iff ht).2 (finset.card_lt_card h),
strong_downward_induction t ht)
using_well_founded {rel_tac := λ _ _, `[exact ⟨_, measure_wf (λ (t : finset α), n - t.card)⟩]}
lemma strong_downward_induction_eq {p : finset α → Sort*} {n : ℕ} (H : ∀ t₁, (∀ {t₂ : finset α},
t₂.card ≤ n → t₁ ⊂ t₂ → p t₂) → t₁.card ≤ n → p t₁) (s : finset α) :
strong_downward_induction H s = H s (λ t ht hst, strong_downward_induction H t ht) :=
by rw strong_downward_induction
/-- Analogue of `strong_downward_induction` with order of arguments swapped. -/
@[elab_as_eliminator] def strong_downward_induction_on {p : finset α → Sort*} {n : ℕ} :
∀ (s : finset α), (∀ t₁, (∀ {t₂ : finset α}, t₂.card ≤ n → t₁ ⊂ t₂ → p t₂) → t₁.card ≤ n → p t₁)
→ s.card ≤ n → p s :=
λ s H, strong_downward_induction H s
lemma strong_downward_induction_on_eq {p : finset α → Sort*} (s : finset α) {n : ℕ} (H : ∀ t₁,
(∀ {t₂ : finset α}, t₂.card ≤ n → t₁ ⊂ t₂ → p t₂) → t₁.card ≤ n → p t₁) :
s.strong_downward_induction_on H = H s (λ t ht h, t.strong_downward_induction_on H ht) :=
by { dunfold strong_downward_induction_on, rw strong_downward_induction }
lemma card_congr {s : finset α} {t : finset β} (f : Π a ∈ s, β)
(h₁ : ∀ a ha, f a ha ∈ t) (h₂ : ∀ a b ha hb, f a ha = f b hb → a = b)
(h₃ : ∀ b ∈ t, ∃ a ha, f a ha = b) : s.card = t.card :=
by haveI := classical.prop_decidable; exact
calc s.card = s.attach.card : card_attach.symm
... = (s.attach.image (λ (a : {a // a ∈ s}), f a.1 a.2)).card :
eq.symm (card_image_of_injective _ (λ a b h, subtype.eq (h₂ _ _ _ _ h)))
... = t.card : congr_arg card (finset.ext $ λ b,
⟨λ h, let ⟨a, ha₁, ha₂⟩ := mem_image.1 h in ha₂ ▸ h₁ _ _,
λ h, let ⟨a, ha₁, ha₂⟩ := h₃ b h in mem_image.2 ⟨⟨a, ha₁⟩, by simp [ha₂]⟩⟩)
lemma card_union_add_card_inter [decidable_eq α] (s t : finset α) :
(s ∪ t).card + (s ∩ t).card = s.card + t.card :=
finset.induction_on t (by simp) $ λ a r har, by by_cases a ∈ s; simp *; cc
lemma card_union_le [decidable_eq α] (s t : finset α) :
(s ∪ t).card ≤ s.card + t.card :=
card_union_add_card_inter s t ▸ nat.le_add_right _ _
lemma card_union_eq [decidable_eq α] {s t : finset α} (h : disjoint s t) :
(s ∪ t).card = s.card + t.card :=
begin
rw [← card_union_add_card_inter],
convert (add_zero _).symm, rw [card_eq_zero], rwa [disjoint_iff] at h
end
lemma surj_on_of_inj_on_of_card_le {s : finset α} {t : finset β}
(f : Π a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hinj : ∀ a₁ a₂ ha₁ ha₂, f a₁ ha₁ = f a₂ ha₂ → a₁ = a₂)
(hst : card t ≤ card s) :
(∀ b ∈ t, ∃ a ha, b = f a ha) :=
by haveI := classical.dec_eq β; exact
λ b hb,
have h : card (image (λ (a : {a // a ∈ s}), f a a.prop) (attach s)) = card s,
from @card_attach _ s ▸ card_image_of_injective _
(λ ⟨a₁, ha₁⟩ ⟨a₂, ha₂⟩ h, subtype.eq $ hinj _ _ _ _ h),
have h₁ : image (λ a : {a // a ∈ s}, f a a.prop) s.attach = t :=
eq_of_subset_of_card_le (λ b h, let ⟨a, ha₁, ha₂⟩ := mem_image.1 h in
ha₂ ▸ hf _ _) (by simp [hst, h]),
begin
rw ← h₁ at hb,
rcases mem_image.1 hb with ⟨a, ha₁, ha₂⟩,
exact ⟨a, a.2, ha₂.symm⟩,
end
open function
lemma inj_on_of_surj_on_of_card_le {s : finset α} {t : finset β}
(f : Π a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hsurj : ∀ b ∈ t, ∃ a ha, b = f a ha)
(hst : card s ≤ card t)
⦃a₁ a₂⦄ (ha₁ : a₁ ∈ s) (ha₂ : a₂ ∈ s)
(ha₁a₂: f a₁ ha₁ = f a₂ ha₂) : a₁ = a₂ :=
by haveI : inhabited {x // x ∈ s} := ⟨⟨a₁, ha₁⟩⟩; exact
let f' : {x // x ∈ s} → {x // x ∈ t} := λ x, ⟨f x.1 x.2, hf x.1 x.2⟩ in
let g : {x // x ∈ t} → {x // x ∈ s} :=
@surj_inv _ _ f'
(λ x, let ⟨y, hy₁, hy₂⟩ := hsurj x.1 x.2 in ⟨⟨y, hy₁⟩, subtype.eq hy₂.symm⟩) in
have hg : injective g, from injective_surj_inv _,
have hsg : surjective g, from λ x,
let ⟨y, hy⟩ := surj_on_of_inj_on_of_card_le (λ (x : {x // x ∈ t}) (hx : x ∈ t.attach), g x)
(λ x _, show (g x) ∈ s.attach, from mem_attach _ _)
(λ x y _ _ hxy, hg hxy) (by simpa) x (mem_attach _ _) in
⟨y, hy.snd.symm⟩,
have hif : injective f',
from (left_inverse_of_surjective_of_right_inverse hsg
(right_inverse_surj_inv _)).injective,
subtype.ext_iff_val.1 (@hif ⟨a₁, ha₁⟩ ⟨a₂, ha₂⟩ (subtype.eq ha₁a₂))
end card
section bUnion
/-!
### bUnion
This section is about the bounded union of an indexed family `t : α → finset β` of finite sets
over a finite set `s : finset α`.
-/
variables [decidable_eq β] {s : finset α} {t : α → finset β}
/-- `bUnion s t` is the union of `t x` over `x ∈ s`.
(This was formerly `bind` due to the monad structure on types with `decidable_eq`.) -/
protected def bUnion (s : finset α) (t : α → finset β) : finset β :=
(s.1.bind (λ a, (t a).1)).to_finset
@[simp] theorem bUnion_val (s : finset α) (t : α → finset β) :
(s.bUnion t).1 = (s.1.bind (λ a, (t a).1)).erase_dup := rfl
@[simp] theorem bUnion_empty : finset.bUnion ∅ t = ∅ := rfl
@[simp] theorem mem_bUnion {b : β} : b ∈ s.bUnion t ↔ ∃a∈s, b ∈ t a :=
by simp only [mem_def, bUnion_val, mem_erase_dup, mem_bind, exists_prop]
@[simp] theorem bUnion_insert [decidable_eq α] {a : α} : (insert a s).bUnion t = t a ∪ s.bUnion t :=
ext $ λ x, by simp only [mem_bUnion, exists_prop, mem_union, mem_insert,
or_and_distrib_right, exists_or_distrib, exists_eq_left]
-- ext $ λ x, by simp [or_and_distrib_right, exists_or_distrib]
@[simp] lemma singleton_bUnion {a : α} : finset.bUnion {a} t = t a :=
begin
classical,
rw [← insert_emptyc_eq, bUnion_insert, bUnion_empty, union_empty]
end
theorem bUnion_inter (s : finset α) (f : α → finset β) (t : finset β) :
s.bUnion f ∩ t = s.bUnion (λ x, f x ∩ t) :=
begin
ext x,
simp only [mem_bUnion, mem_inter],
tauto
end
theorem inter_bUnion (t : finset β) (s : finset α) (f : α → finset β) :
t ∩ s.bUnion f = s.bUnion (λ x, t ∩ f x) :=
by rw [inter_comm, bUnion_inter]; simp [inter_comm]
theorem image_bUnion [decidable_eq γ] {f : α → β} {s : finset α} {t : β → finset γ} :
(s.image f).bUnion t = s.bUnion (λa, t (f a)) :=
by haveI := classical.dec_eq α; exact
finset.induction_on s rfl (λ a s has ih,
by simp only [image_insert, bUnion_insert, ih])
theorem bUnion_image [decidable_eq γ] {s : finset α} {t : α → finset β} {f : β → γ} :
(s.bUnion t).image f = s.bUnion (λa, (t a).image f) :=
by haveI := classical.dec_eq α; exact
finset.induction_on s rfl (λ a s has ih,
by simp only [bUnion_insert, image_union, ih])
lemma bUnion_bUnion [decidable_eq γ] (s : finset α) (f : α → finset β) (g : β → finset γ) :
(s.bUnion f).bUnion g = s.bUnion (λ a, (f a).bUnion g) :=
begin
ext,
simp only [finset.mem_bUnion, exists_prop],
simp_rw [←exists_and_distrib_right, ←exists_and_distrib_left, and_assoc],
rw exists_comm,
end
theorem bind_to_finset [decidable_eq α] (s : multiset α) (t : α → multiset β) :
(s.bind t).to_finset = s.to_finset.bUnion (λa, (t a).to_finset) :=
ext $ λ x, by simp only [multiset.mem_to_finset, mem_bUnion, multiset.mem_bind, exists_prop]
lemma bUnion_mono {t₁ t₂ : α → finset β} (h : ∀a∈s, t₁ a ⊆ t₂ a) : s.bUnion t₁ ⊆ s.bUnion t₂ :=
have ∀b a, a ∈ s → b ∈ t₁ a → (∃ (a : α), a ∈ s ∧ b ∈ t₂ a),
from assume b a ha hb, ⟨a, ha, finset.mem_of_subset (h a ha) hb⟩,
by simpa only [subset_iff, mem_bUnion, exists_imp_distrib, and_imp, exists_prop]
lemma bUnion_subset_bUnion_of_subset_left {α : Type*} {s₁ s₂ : finset α}
(t : α → finset β) (h : s₁ ⊆ s₂) : s₁.bUnion t ⊆ s₂.bUnion t :=
begin
intro x,
simp only [and_imp, mem_bUnion, exists_prop],
exact Exists.imp (λ a ha, ⟨h ha.1, ha.2⟩)
end
lemma subset_bUnion_of_mem {s : finset α}
(u : α → finset β) {x : α} (xs : x ∈ s) :
u x ⊆ s.bUnion u :=
begin
apply subset.trans _ (bUnion_subset_bUnion_of_subset_left u (singleton_subset_iff.2 xs)),
exact subset_of_eq singleton_bUnion.symm,
end
@[simp] lemma bUnion_subset_iff_forall_subset {α β : Type*} [decidable_eq β]
{s : finset α} {t : finset β} {f : α → finset β} : s.bUnion f ⊆ t ↔ ∀ x ∈ s, f x ⊆ t :=
⟨λ h x hx, (subset_bUnion_of_mem f hx).trans h,
λ h x hx, let ⟨a, ha₁, ha₂⟩ := mem_bUnion.mp hx in h _ ha₁ ha₂⟩
lemma bUnion_singleton {f : α → β} : s.bUnion (λa, {f a}) = s.image f :=
ext $ λ x, by simp only [mem_bUnion, mem_image, mem_singleton, eq_comm]
@[simp] lemma bUnion_singleton_eq_self [decidable_eq α] :
s.bUnion (singleton : α → finset α) = s :=
by { rw bUnion_singleton, exact image_id }
lemma bUnion_filter_eq_of_maps_to [decidable_eq α] {s : finset α} {t : finset β} {f : α → β}
(h : ∀ x ∈ s, f x ∈ t) :
t.bUnion (λa, s.filter $ (λc, f c = a)) = s :=
ext $ λ b, by simpa using h b
lemma image_bUnion_filter_eq [decidable_eq α] (s : finset β) (g : β → α) :
(s.image g).bUnion (λa, s.filter $ (λc, g c = a)) = s :=
bUnion_filter_eq_of_maps_to (λ x, mem_image_of_mem g)
lemma erase_bUnion (f : α → finset β) (s : finset α) (b : β) :
(s.bUnion f).erase b = s.bUnion (λ x, (f x).erase b) :=
by { ext, simp only [finset.mem_bUnion, iff_self, exists_and_distrib_left, finset.mem_erase] }
end bUnion
/-! ### prod -/
section prod
variables {s : finset α} {t : finset β}
/-- `product s t` is the set of pairs `(a, b)` such that `a ∈ s` and `b ∈ t`. -/
protected def product (s : finset α) (t : finset β) : finset (α × β) := ⟨_, nodup_product s.2 t.2⟩
@[simp] theorem product_val : (s.product t).1 = s.1.product t.1 := rfl
@[simp] theorem mem_product {p : α × β} : p ∈ s.product t ↔ p.1 ∈ s ∧ p.2 ∈ t := mem_product
theorem subset_product [decidable_eq α] [decidable_eq β] {s : finset (α × β)} :
s ⊆ (s.image prod.fst).product (s.image prod.snd) :=
λ p hp, mem_product.2 ⟨mem_image_of_mem _ hp, mem_image_of_mem _ hp⟩
theorem product_eq_bUnion [decidable_eq α] [decidable_eq β] (s : finset α) (t : finset β) :
s.product t = s.bUnion (λa, t.image $ λb, (a, b)) :=
ext $ λ ⟨x, y⟩, by simp only [mem_product, mem_bUnion, mem_image, exists_prop, prod.mk.inj_iff,
and.left_comm, exists_and_distrib_left, exists_eq_right, exists_eq_left]
@[simp] lemma product_bUnion {β γ : Type*} [decidable_eq γ]
(s : finset α) (t : finset β) (f : α × β → finset γ) :
(s.product t).bUnion f = s.bUnion (λ a, t.bUnion (λ b, f (a, b))) :=
by { classical, simp_rw [product_eq_bUnion, bUnion_bUnion, image_bUnion] }
@[simp] theorem card_product (s : finset α) (t : finset β) : card (s.product t) = card s * card t :=
multiset.card_product _ _
theorem filter_product (p : α → Prop) (q : β → Prop) [decidable_pred p] [decidable_pred q] :
(s.product t).filter (λ (x : α × β), p x.1 ∧ q x.2) = (s.filter p).product (t.filter q) :=
by { ext ⟨a, b⟩, simp only [mem_filter, mem_product], finish, }
lemma filter_product_card (s : finset α) (t : finset β)
(p : α → Prop) (q : β → Prop) [decidable_pred p] [decidable_pred q] :
((s.product t).filter (λ (x : α × β), p x.1 ↔ q x.2)).card =
(s.filter p).card * (t.filter q).card + (s.filter (not ∘ p)).card * (t.filter (not ∘ q)).card :=
begin
classical,
rw [← card_product, ← card_product, ← filter_product, ← filter_product, ← card_union_eq],
{ apply congr_arg, ext ⟨a, b⟩, simp only [filter_union_right, mem_filter, mem_product],
split; intros; finish, },
{ rw disjoint_iff, change _ ∩ _ = ∅, ext ⟨a, b⟩, rw mem_inter, finish, },
end
lemma empty_product (t : finset β) :
(∅ : finset α).product t = ∅ :=
rfl
lemma product_empty (s : finset α) :
s.product (∅ : finset β) = ∅ :=
eq_empty_of_forall_not_mem (λ x h, (finset.mem_product.1 h).2)
end prod
/-! ### sigma -/
section sigma
variables {σ : α → Type*} {s : finset α} {t : Πa, finset (σ a)}
/-- `sigma s t` is the set of dependent pairs `⟨a, b⟩` such that `a ∈ s` and `b ∈ t a`. -/
protected def sigma (s : finset α) (t : Πa, finset (σ a)) : finset (Σa, σ a) :=
⟨_, nodup_sigma s.2 (λ a, (t a).2)⟩
@[simp] theorem mem_sigma {p : sigma σ} : p ∈ s.sigma t ↔ p.1 ∈ s ∧ p.2 ∈ t (p.1) := mem_sigma
theorem sigma_mono {s₁ s₂ : finset α} {t₁ t₂ : Πa, finset (σ a)}
(H1 : s₁ ⊆ s₂) (H2 : ∀a, t₁ a ⊆ t₂ a) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
λ ⟨x, sx⟩ H, let ⟨H3, H4⟩ := mem_sigma.1 H in mem_sigma.2 ⟨H1 H3, H2 x H4⟩
theorem sigma_eq_bUnion [decidable_eq (Σ a, σ a)] (s : finset α)
(t : Πa, finset (σ a)) :
s.sigma t = s.bUnion (λa, (t a).map $ embedding.sigma_mk a) :=
by { ext ⟨x, y⟩, simp [and.left_comm] }
end sigma
/-! ### disjoint -/
section disjoint
variable [decidable_eq α]
theorem disjoint_left {s t : finset α} : disjoint s t ↔ ∀ {a}, a ∈ s → a ∉ t :=
by simp only [_root_.disjoint, inf_eq_inter, le_iff_subset, subset_iff, mem_inter, not_and,
and_imp]; refl
theorem disjoint_val {s t : finset α} : disjoint s t ↔ s.1.disjoint t.1 :=
disjoint_left
theorem disjoint_iff_inter_eq_empty {s t : finset α} : disjoint s t ↔ s ∩ t = ∅ :=
disjoint_iff
instance decidable_disjoint (U V : finset α) : decidable (disjoint U V) :=
decidable_of_decidable_of_iff (by apply_instance) eq_bot_iff
theorem disjoint_right {s t : finset α} : disjoint s t ↔ ∀ {a}, a ∈ t → a ∉ s :=
by rw [disjoint.comm, disjoint_left]
theorem disjoint_iff_ne {s t : finset α} : disjoint s t ↔ ∀ a ∈ s, ∀ b ∈ t, a ≠ b :=
by simp only [disjoint_left, imp_not_comm, forall_eq']
theorem disjoint_of_subset_left {s t u : finset α} (h : s ⊆ u) (d : disjoint u t) : disjoint s t :=
disjoint_left.2 (λ x m₁, (disjoint_left.1 d) (h m₁))
theorem disjoint_of_subset_right {s t u : finset α} (h : t ⊆ u) (d : disjoint s u) : disjoint s t :=
disjoint_right.2 (λ x m₁, (disjoint_right.1 d) (h m₁))
@[simp] theorem disjoint_empty_left (s : finset α) : disjoint ∅ s := disjoint_bot_left
@[simp] theorem disjoint_empty_right (s : finset α) : disjoint s ∅ := disjoint_bot_right
@[simp] theorem singleton_disjoint {s : finset α} {a : α} : disjoint (singleton a) s ↔ a ∉ s :=
by simp only [disjoint_left, mem_singleton, forall_eq]
@[simp] theorem disjoint_singleton {s : finset α} {a : α} : disjoint s (singleton a) ↔ a ∉ s :=
disjoint.comm.trans singleton_disjoint
@[simp] theorem disjoint_insert_left {a : α} {s t : finset α} :
disjoint (insert a s) t ↔ a ∉ t ∧ disjoint s t :=
by simp only [disjoint_left, mem_insert, or_imp_distrib, forall_and_distrib, forall_eq]
@[simp] theorem disjoint_insert_right {a : α} {s t : finset α} :
disjoint s (insert a t) ↔ a ∉ s ∧ disjoint s t :=
disjoint.comm.trans $ by rw [disjoint_insert_left, disjoint.comm]
@[simp] theorem disjoint_union_left {s t u : finset α} :
disjoint (s ∪ t) u ↔ disjoint s u ∧ disjoint t u :=
by simp only [disjoint_left, mem_union, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_union_right {s t u : finset α} :
disjoint s (t ∪ u) ↔ disjoint s t ∧ disjoint s u :=
by simp only [disjoint_right, mem_union, or_imp_distrib, forall_and_distrib]
lemma sdiff_disjoint {s t : finset α} : disjoint (t \ s) s :=
disjoint_left.2 $ assume a ha, (mem_sdiff.1 ha).2
lemma disjoint_sdiff {s t : finset α} : disjoint s (t \ s) :=
sdiff_disjoint.symm
lemma disjoint_sdiff_inter (s t : finset α) : disjoint (s \ t) (s ∩ t) :=
disjoint_of_subset_right (inter_subset_right _ _) sdiff_disjoint
lemma sdiff_eq_self_iff_disjoint {s t : finset α} : s \ t = s ↔ disjoint s t :=
by rw [sdiff_eq_self, subset_empty, disjoint_iff_inter_eq_empty]
lemma sdiff_eq_self_of_disjoint {s t : finset α} (h : disjoint s t) : s \ t = s :=
sdiff_eq_self_iff_disjoint.2 h
lemma disjoint_self_iff_empty (s : finset α) : disjoint s s ↔ s = ∅ :=
disjoint_self
lemma disjoint_bUnion_left {ι : Type*}
(s : finset ι) (f : ι → finset α) (t : finset α) :
disjoint (s.bUnion f) t ↔ (∀i∈s, disjoint (f i) t) :=
begin
classical,
refine s.induction _ _,
{ simp only [forall_mem_empty_iff, bUnion_empty, disjoint_empty_left] },
{ assume i s his ih,
simp only [disjoint_union_left, bUnion_insert, his, forall_mem_insert, ih] }
end
lemma disjoint_bUnion_right {ι : Type*}
(s : finset α) (t : finset ι) (f : ι → finset α) :
disjoint s (t.bUnion f) ↔ (∀i∈t, disjoint s (f i)) :=
by simpa only [disjoint.comm] using disjoint_bUnion_left t f s
@[simp] theorem card_disjoint_union {s t : finset α} (h : disjoint s t) :
card (s ∪ t) = card s + card t :=
by rw [← card_union_add_card_inter, disjoint_iff_inter_eq_empty.1 h, card_empty, add_zero]
theorem card_sdiff {s t : finset α} (h : s ⊆ t) : card (t \ s) = card t - card s :=
suffices card (t \ s) = card ((t \ s) ∪ s) - card s, by rwa sdiff_union_of_subset h at this,
by rw [card_disjoint_union sdiff_disjoint, nat.add_sub_cancel]
lemma disjoint_filter {s : finset α} {p q : α → Prop} [decidable_pred p] [decidable_pred q] :
disjoint (s.filter p) (s.filter q) ↔ (∀ x ∈ s, p x → ¬ q x) :=
by split; simp [disjoint_left] {contextual := tt}
lemma disjoint_filter_filter {s t : finset α} {p q : α → Prop} [decidable_pred p]
[decidable_pred q] :
(disjoint s t) → disjoint (s.filter p) (t.filter q) :=
disjoint.mono (filter_subset _ _) (filter_subset _ _)
lemma disjoint_iff_disjoint_coe {α : Type*} {a b : finset α} [decidable_eq α] :
disjoint a b ↔ disjoint (↑a : set α) (↑b : set α) :=
by { rw [finset.disjoint_left, set.disjoint_left], refl }
lemma filter_card_add_filter_neg_card_eq_card {α : Type*} {s : finset α} (p : α → Prop)
[decidable_pred p] :
(s.filter p).card + (s.filter (not ∘ p)).card = s.card :=
by { classical, simp [← card_union_eq, filter_union_filter_neg_eq, disjoint_filter], }
end disjoint
section self_prod
variables (s : finset α) [decidable_eq α]
/-- Given a finite set `s`, the diagonal, `s.diag` is the set of pairs of the form `(a, a)` for
`a ∈ s`. -/
def diag := (s.product s).filter (λ (a : α × α), a.fst = a.snd)
/-- Given a finite set `s`, the off-diagonal, `s.off_diag` is the set of pairs `(a, b)` with `a ≠ b`
for `a, b ∈ s`. -/
def off_diag := (s.product s).filter (λ (a : α × α), a.fst ≠ a.snd)
@[simp] lemma mem_diag (x : α × α) : x ∈ s.diag ↔ x.1 ∈ s ∧ x.1 = x.2 :=
by { simp only [diag, mem_filter, mem_product], split; intros; finish, }
@[simp] lemma mem_off_diag (x : α × α) : x ∈ s.off_diag ↔ x.1 ∈ s ∧ x.2 ∈ s ∧ x.1 ≠ x.2 :=
by { simp only [off_diag, mem_filter, mem_product], split; intros; finish, }
@[simp] lemma diag_card : (diag s).card = s.card :=
begin
suffices : diag s = s.image (λ a, (a, a)), { rw this, apply card_image_of_inj_on, finish, },
ext ⟨a₁, a₂⟩, rw mem_diag, split; intros; finish,
end
@[simp] lemma off_diag_card : (off_diag s).card = s.card * s.card - s.card :=
begin
suffices : (diag s).card + (off_diag s).card = s.card * s.card,
{ nth_rewrite 2 ← s.diag_card, finish, },
rw ← card_product,
apply filter_card_add_filter_neg_card_eq_card,
end
end self_prod
/--
Given a set A and a set B inside it, we can shrink A to any appropriate size, and keep B
inside it.
-/
lemma exists_intermediate_set {A B : finset α} (i : ℕ)
(h₁ : i + card B ≤ card A) (h₂ : B ⊆ A) :
∃ (C : finset α), B ⊆ C ∧ C ⊆ A ∧ card C = i + card B :=
begin
classical,
rcases nat.le.dest h₁ with ⟨k, _⟩,
clear h₁,
induction k with k ih generalizing A,
{ exact ⟨A, h₂, subset.refl _, h.symm⟩ },
{ have : (A \ B).nonempty,
{ rw [← card_pos, card_sdiff h₂, ← h, nat.add_right_comm,
nat.add_sub_cancel, nat.add_succ],
apply nat.succ_pos },
rcases this with ⟨a, ha⟩,
have z : i + card B + k = card (erase A a),
{ rw [card_erase_of_mem, ← h, nat.add_succ, nat.pred_succ],
rw mem_sdiff at ha,
exact ha.1 },
rcases ih _ z with ⟨B', hB', B'subA', cards⟩,
{ exact ⟨B', hB', trans B'subA' (erase_subset _ _), cards⟩ },
{ rintros t th,
apply mem_erase_of_ne_of_mem _ (h₂ th),
rintro rfl,
exact not_mem_sdiff_of_mem_right th ha } }
end
/-- We can shrink A to any smaller size. -/
lemma exists_smaller_set (A : finset α) (i : ℕ) (h₁ : i ≤ card A) :
∃ (B : finset α), B ⊆ A ∧ card B = i :=
let ⟨B, _, x₁, x₂⟩ := exists_intermediate_set i (by simpa) (empty_subset A) in ⟨B, x₁, x₂⟩
/-- `finset.fin_range k` is the finset `{0, 1, ..., k-1}`, as a `finset (fin k)`. -/
def fin_range (k : ℕ) : finset (fin k) :=
⟨list.fin_range k, list.nodup_fin_range k⟩
@[simp]
lemma fin_range_card {k : ℕ} : (fin_range k).card = k :=
by simp [fin_range]
@[simp]
lemma mem_fin_range {k : ℕ} (m : fin k) : m ∈ fin_range k :=
list.mem_fin_range m
@[simp] lemma coe_fin_range (k : ℕ) : (fin_range k : set (fin k)) = set.univ :=
set.eq_univ_of_forall mem_fin_range
/-- Given a finset `s` of `ℕ` contained in `{0,..., n-1}`, the corresponding finset in `fin n`
is `s.attach_fin h` where `h` is a proof that all elements of `s` are less than `n`. -/
def attach_fin (s : finset ℕ) {n : ℕ} (h : ∀ m ∈ s, m < n) : finset (fin n) :=
⟨s.1.pmap (λ a ha, ⟨a, ha⟩) h, multiset.nodup_pmap (λ _ _ _ _, fin.veq_of_eq) s.2⟩
@[simp] lemma mem_attach_fin {n : ℕ} {s : finset ℕ} (h : ∀ m ∈ s, m < n) {a : fin n} :
a ∈ s.attach_fin h ↔ (a : ℕ) ∈ s :=
⟨λ h, let ⟨b, hb₁, hb₂⟩ := multiset.mem_pmap.1 h in hb₂ ▸ hb₁,
λ h, multiset.mem_pmap.2 ⟨a, h, fin.eta _ _⟩⟩
@[simp] lemma card_attach_fin {n : ℕ} (s : finset ℕ) (h : ∀ m ∈ s, m < n) :
(s.attach_fin h).card = s.card := multiset.card_pmap _ _ _
/-! ### choose -/
section choose
variables (p : α → Prop) [decidable_pred p] (l : finset α)
/-- Given a finset `l` and a predicate `p`, associate to a proof that there is a unique element of
`l` satisfying `p` this unique element, as an element of the corresponding subtype. -/
def choose_x (hp : (∃! a, a ∈ l ∧ p a)) : { a // a ∈ l ∧ p a } :=
multiset.choose_x p l.val hp
/-- Given a finset `l` and a predicate `p`, associate to a proof that there is a unique element of
`l` satisfying `p` this unique element, as an element of the ambient type. -/
def choose (hp : ∃! a, a ∈ l ∧ p a) : α := choose_x p l hp
lemma choose_spec (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(choose_x p l hp).property
lemma choose_mem (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l := (choose_spec _ _ _).1
lemma choose_property (hp : ∃! a, a ∈ l ∧ p a) : p (choose p l hp) := (choose_spec _ _ _).2
end choose
theorem lt_wf {α} : well_founded (@has_lt.lt (finset α) _) :=
have H : subrelation (@has_lt.lt (finset α) _)
(inv_image (<) card),
from λ x y hxy, card_lt_card hxy,
subrelation.wf H $ inv_image.wf _ $ nat.lt_wf
end finset
namespace equiv
/-- Given an equivalence `α` to `β`, produce an equivalence between `finset α` and `finset β`. -/
protected def finset_congr (e : α ≃ β) : finset α ≃ finset β :=
{ to_fun := λ s, s.map e.to_embedding,
inv_fun := λ s, s.map e.symm.to_embedding,
left_inv := λ s, by simp [finset.map_map],
right_inv := λ s, by simp [finset.map_map] }
@[simp] lemma finset_congr_apply (e : α ≃ β) (s : finset α) :
e.finset_congr s = s.map e.to_embedding :=
rfl
@[simp] lemma finset_congr_refl :
(equiv.refl α).finset_congr = equiv.refl _ :=
by { ext, simp }
@[simp] lemma finset_congr_symm (e : α ≃ β) :
e.finset_congr.symm = e.symm.finset_congr :=
rfl
@[simp] lemma finset_congr_trans (e : α ≃ β) (e' : β ≃ γ) :
e.finset_congr.trans (e'.finset_congr) = (e.trans e').finset_congr :=
by { ext, simp [-finset.mem_map, -equiv.trans_to_embedding] }
end equiv
namespace multiset
variable [decidable_eq α]
theorem to_finset_card_of_nodup {l : multiset α} (h : l.nodup) : l.to_finset.card = l.card :=
congr_arg card $ multiset.erase_dup_eq_self.mpr h
lemma disjoint_to_finset {m1 m2 : multiset α} :
_root_.disjoint m1.to_finset m2.to_finset ↔ m1.disjoint m2 :=
begin
rw finset.disjoint_iff_ne,
split,
{ intro h,
intros a ha1 ha2,
rw ← multiset.mem_to_finset at ha1 ha2,
exact h _ ha1 _ ha2 rfl },
{ rintros h a ha b hb rfl,
rw multiset.mem_to_finset at ha hb,
exact h ha hb }
end
end multiset
namespace list
variable [decidable_eq α]
theorem to_finset_card_of_nodup {l : list α} (h : l.nodup) : l.to_finset.card = l.length :=
multiset.to_finset_card_of_nodup h
lemma disjoint_to_finset_iff_disjoint {l l' : list α} :
_root_.disjoint l.to_finset l'.to_finset ↔ l.disjoint l' :=
multiset.disjoint_to_finset
end list
|
f20e70925026aaf05da6ef8c5249ba117dce6d05 | aa3f8992ef7806974bc1ffd468baa0c79f4d6643 | /library/algebra/ring.lean | 663739c5cffb0c961410cf8c49016939ebbbff0a | [
"Apache-2.0"
] | permissive | codyroux/lean | 7f8dff750722c5382bdd0a9a9275dc4bb2c58dd3 | 0cca265db19f7296531e339192e9b9bae4a31f8b | refs/heads/master | 1,610,909,964,159 | 1,407,084,399,000 | 1,416,857,075,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 9,751 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: algebra.ring
Authors: Jeremy Avigad, Leonardo de Moura
Structures with multiplicative and additive components, including semirings, rings, and fields.
The development is modeled after Isabelle's library.
-/
import logic.eq logic.connectives
import data.unit data.sigma data.prod
import algebra.function algebra.binary algebra.group
open eq eq.ops
namespace algebra
variable {A : Type}
/- auxiliary classes -/
structure distrib [class] (A : Type) extends has_mul A, has_add A :=
(distrib_left : ∀a b c, mul a (add b c) = add (mul a b) (mul a c))
(distrib_right : ∀a b c, mul (add a b) c = add (mul a c) (mul b c))
theorem distrib_left [s : distrib A] (a b c : A) : a * (b + c) = a * b + a * c := !distrib.distrib_left
theorem distrib_right [s: distrib A] (a b c : A) : (a + b) * c = a * c + b * c := !distrib.distrib_right
structure mul_zero [class] (A : Type) extends has_mul A, has_zero A :=
(mul_zero_left : ∀a, mul zero a = zero)
(mul_zero_right : ∀a, mul a zero = zero)
theorem mul_zero_left [s : mul_zero A] (a : A) : 0 * a = 0 := !mul_zero.mul_zero_left
theorem mul_zero_right [s : mul_zero A] (a : A) : a * 0 = 0 := !mul_zero.mul_zero_right
structure zero_ne_one_class [class] (A : Type) extends has_zero A, has_one A :=
(zero_ne_one : zero ≠ one)
theorem zero_ne_one [s: zero_ne_one_class A] : 0 ≠ 1 := zero_ne_one_class.zero_ne_one
/- semiring -/
structure semiring [class] (A : Type) extends add_comm_monoid A, monoid A, distrib A, mul_zero A,
zero_ne_one_class A
section
variable [s : semiring A]
include s
/- -/
end
structure comm_semiring [class] (A : Type) extends semiring A, comm_semigroup A
/- abstract divisibility -/
structure has_dvd [class] (A : Type) extends has_mul A :=
(dvd : A → A → Prop)
(dvd_intro : ∀a b c, mul a b = c → dvd a c)
(dvd_imp_exists : ∀ a b, dvd a b → ∃c, mul a c = b)
definition dvd [s : has_dvd A] (a b : A) : Prop := has_dvd.dvd a b
infix `|` := dvd
theorem dvd_intro [s : has_dvd A] {a b c : A} : a * b = c → a | c := !has_dvd.dvd_intro
theorem dvd_imp_exists [s : has_dvd A] {a b : A} : a | b → ∃c, a * c = b := !has_dvd.dvd_imp_exists
theorem dvd_elim [s : has_dvd A] {P : Prop} {a b : A} (H₁ : a | b) (H₂ : ∀c, a * c = b → P) : P :=
exists_elim (dvd_imp_exists H₁) H₂
structure comm_semiring_dvd [class] (A : Type) extends comm_semiring A, has_dvd A
section comm_semiring_dvd
variables [s : comm_semiring_dvd A] (a b c : A)
include s
theorem dvd_refl : a | a := dvd_intro (!mul_right_id)
theorem dvd_trans {a b c : A} (H₁ : a | b) (H₂ : b | c) : a | c :=
dvd_elim H₁
(take d, assume H₃ : a * d = b,
dvd_elim H₂
(take e, assume H₄ : b * e = c,
@dvd_intro _ _ _ (d * e) _
(calc
a * (d * e) = (a * d) * e : mul_assoc
... = b * e : H₃
... = c : H₄)))
theorem zero_dvd {H : 0 | a} : a = 0 :=
dvd_elim H (take c, assume H' : 0 * c = a, (H')⁻¹ ⬝ !mul_zero_left)
theorem dvd_zero : a | 0 := dvd_intro !mul_zero_right
theorem one_dvd : 1 | a := dvd_intro !mul_left_id
theorem dvd_mul_right : a | a * b := dvd_intro rfl
theorem dvd_mul_left : a | b * a := !mul_comm ▸ !dvd_mul_right
theorem dvd_imp_dvd_mul_right {a b : A} (H : a | b) (c : A) : a | b * c :=
dvd_elim H
(take d,
assume H₁ : a * d = b,
dvd_intro
(calc
a * (d * c) = a * d * c : mul_assoc
... = b * c : H₁))
theorem dvd_imp_dvd_mul_left {a b : A} (H : a | b) (c : A) : a | c * b :=
!mul_comm ▸ (dvd_imp_dvd_mul_right H _)
theorem mul_dvd_mono {a b c d : A} (dvd_ab : a | b) (dvd_cd : c | d) : a * c | b * d :=
dvd_elim dvd_ab
(take e, assume Haeb : a * e = b,
dvd_elim dvd_cd
(take f, assume Hcfd : c * f = d,
dvd_intro
(calc
a * c * (e * f) = a * (c * (e * f)) : mul_assoc
... = a * (e * (c * f)) : mul_left_comm
... = a * e * (c * f) : mul_assoc
... = b * (c * f) : Haeb
... = b * d : Hcfd)))
theorem mul_dvd_imp_dvd_left {a b c : A} (H : a * b | c) : a | c :=
dvd_elim H (take d, assume Habdc : a * b * d = c, dvd_intro (!mul_assoc⁻¹ ⬝ Habdc))
theorem mul_dvd_imp_dvd_right {a b c : A} (H : a * b | c) : b | c :=
mul_dvd_imp_dvd_left (!mul_comm ▸ H)
theorem dvd_add {a b c : A} (Hab : a | b) (Hac : a | c) : a | b + c :=
dvd_elim Hab
(take d, assume Hadb : a * d = b,
dvd_elim Hac
(take e, assume Haec : a * e = c,
dvd_intro (show a * (d + e) = b + c, from Hadb ▸ Haec ▸ !distrib_left)))
end comm_semiring_dvd
/- ring -/
structure ring [class] (A : Type) extends add_comm_group A, monoid A, distrib A, zero_ne_one_class A
definition ring.to_semiring [instance] [s : ring A] : semiring A :=
semiring.mk ring.add ring.add_assoc ring.zero ring.add_left_id
add_right_id -- note: we've shown that add_right_id follows from add_left_id in add_comm_group
ring.add_comm ring.mul ring.mul_assoc ring.one ring.mul_left_id ring.mul_right_id
ring.distrib_left ring.distrib_right
(take a,
have H : 0 * a + 0 = 0 * a + 0 * a, from
calc
0 * a + 0 = 0 * a : add_right_id
... = (0 + 0) * a : add_right_id
... = 0 * a + 0 * a : ring.distrib_right,
show 0 * a = 0, from (add_left_cancel H)⁻¹)
(take a,
have H : a * 0 + 0 = a * 0 + a * 0, from
calc
a * 0 + 0 = a * 0 : add_right_id
... = a * (0 + 0) : add_right_id
... = a * 0 + a * 0 : ring.distrib_left,
show a * 0 = 0, from (add_left_cancel H)⁻¹)
ring.zero_ne_one
section
variables [s : ring A] (a b c d e : A)
include s
theorem neg_mul_left : -(a * b) = -a * b :=
neg_unique
(calc
a * b + -a * b = (a + -a) * b : distrib_right
... = 0 * b : add_right_inv
... = 0 : mul_zero_left)
theorem neg_mul_right : -(a * b) = a * -b :=
neg_unique
(calc
a * b + a * -b = a * (b + -b) : distrib_left
... = a * 0 : add_right_inv
... = 0 : mul_zero_right)
theorem neg_mul_neg : -a * -b = a * b :=
calc
-a * -b = -(a * -b) : neg_mul_left
... = - -(a * b) : neg_mul_right
... = a * b : neg_neg
theorem neg_mul_comm : -a * b = a * -b := !neg_mul_left⁻¹ ⬝ !neg_mul_right
theorem minus_distrib_left : a * (b - c) = a * b - a * c :=
calc
a * (b - c) = a * b + a * -c : distrib_left
... = a * b + - (a * c) : neg_mul_right
... = a * b - a * c : rfl
theorem minus_distrib_right : (a - b) * c = a * c - b * c :=
calc
(a - b) * c = a * c + -b * c : distrib_right
... = a * c + - (b * c) : neg_mul_left
... = a * c - b * c : rfl
-- TODO: can calc mode be improved to make this easier?
-- TODO: there is also the other direction. It will be easier when we
-- have the simplifier.
theorem eq_add_iff1 : a * e + c = b * e + d ↔ (a - b) * e + c = d :=
calc
a * e + c = b * e + d ↔ a * e + c = d + b * e : !add_comm ▸ !iff.refl
... ↔ a * e + c - b * e = d : iff.symm !minus_eq_iff_eq_add
... ↔ a * e - b * e + c = d : !minus_add_right_comm ▸ !iff.refl
... ↔ (a - b) * e + c = d : !minus_distrib_right ▸ !iff.refl
end
structure comm_ring [class] (A : Type) extends ring A, comm_semigroup A
definition comm_ring.to_comm_semiring [instance] [s : comm_ring A] : comm_semiring A :=
comm_semiring.mk has_add.add add_assoc has_zero.zero add_left_id add_right_id add_comm
has_mul.mul mul_assoc has_one.one mul_left_id mul_right_id distrib_left distrib_right
mul_zero_left mul_zero_right zero_ne_one mul_comm
section
variables [s : comm_ring A] (a b c d e : A)
include s
-- TODO: wait for the simplifier
theorem square_minus_square_eq : a * a - b * b = (a + b) * (a - b) := sorry
theorem square_minus_one_eq : a * a - 1 = (a + 1) * (a - 1) :=
!mul_right_id ▸ !square_minus_square_eq
end
structure comm_ring_dvd [class] (A : Type) extends comm_ring A, has_dvd A
definition comm_ring_dvd.to_comm_semiring_dvd [instance] [s : comm_ring_dvd A] : comm_semiring_dvd A :=
comm_semiring_dvd.mk has_add.add add_assoc has_zero.zero add_left_id add_right_id add_comm
has_mul.mul mul_assoc has_one.one mul_left_id mul_right_id distrib_left distrib_right
mul_zero_left mul_zero_right zero_ne_one mul_comm dvd (@dvd_intro A s) (@dvd_imp_exists A s)
section
variables [s : comm_ring_dvd A] (a b c d e : A)
include s
theorem dvd_neg_iff : a | -b ↔ a | b :=
iff.intro
(assume H : a | -b,
dvd_elim H
(take c, assume H' : a * c = -b,
dvd_intro
(calc
a * -c = -(a * c) : neg_mul_right
... = -(-b) : H'
... = b : neg_neg)))
(assume H : a | b,
dvd_elim H
(take c, assume H' : a * c = b,
dvd_intro
(calc
a * -c = -(a * c) : neg_mul_right
... = -b : H')))
theorem neg_dvd_iff : -a | b ↔ a | b :=
iff.intro
(assume H : -a | b,
dvd_elim H
(take c, assume H' : -a * c = b,
dvd_intro
(calc
a * -c = -a * c : neg_mul_comm
... = b : H')))
(assume H : a | b,
dvd_elim H
(take c, assume H' : a * c = b,
dvd_intro
(calc
-a * -c = a * c : neg_mul_neg
... = b : H')))
theorem dvd_diff (H₁ : a | b) (H₂ : a | c) : a | (b - c) :=
dvd_add H₁ (iff.elim_right !dvd_neg_iff H₂)
end
/- ring no_zero_divisors -/
end algebra
|
240a1aeeead052be826f6aaf49aedabc4b6747f7 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/group_theory/schur_zassenhaus.lean | f772cf51217ca70b566a920da3e73f6ad9022a96 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 14,705 | lean | /-
Copyright (c) 2021 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import group_theory.sylow
import group_theory.transfer
/-!
# The Schur-Zassenhaus Theorem
In this file we prove the Schur-Zassenhaus theorem.
## Main results
- `exists_right_complement'_of_coprime` : The **Schur-Zassenhaus** theorem:
If `H : subgroup G` is normal and has order coprime to its index,
then there exists a subgroup `K` which is a (right) complement of `H`.
- `exists_left_complement'_of_coprime` The **Schur-Zassenhaus** theorem:
If `H : subgroup G` is normal and has order coprime to its index,
then there exists a subgroup `K` which is a (left) complement of `H`.
-/
open_locale big_operators
namespace subgroup
section schur_zassenhaus_abelian
open mul_opposite mul_action subgroup.left_transversals mem_left_transversals
variables {G : Type*} [group G] (H : subgroup G) [is_commutative H] [fintype (G ⧸ H)]
(α β : left_transversals (H : set G))
/-- The quotient of the transversals of an abelian normal `N` by the `diff` relation. -/
def quotient_diff :=
quotient (setoid.mk (λ α β, diff (monoid_hom.id H) α β = 1) ⟨λ α, diff_self (monoid_hom.id H) α,
λ α β h, by rw [←diff_inv, h, inv_one], λ α β γ h h', by rw [←diff_mul_diff, h, h', one_mul]⟩)
instance : inhabited H.quotient_diff := quotient.inhabited _
lemma smul_diff_smul' [hH : normal H] (g : Gᵐᵒᵖ) :
diff (monoid_hom.id H) (g • α) (g • β) = ⟨g.unop⁻¹ * (diff (monoid_hom.id H) α β : H) * g.unop,
hH.mem_comm ((congr_arg (∈ H) (mul_inv_cancel_left _ _)).mpr (set_like.coe_mem _))⟩ :=
begin
let ϕ : H →* H :=
{ to_fun := λ h, ⟨g.unop⁻¹ * h * g.unop,
hH.mem_comm ((congr_arg (∈ H) (mul_inv_cancel_left _ _)).mpr (set_like.coe_mem _))⟩,
map_one' := by rw [subtype.ext_iff, coe_mk, coe_one, mul_one, inv_mul_self],
map_mul' := λ h₁ h₂, by rw [subtype.ext_iff, coe_mk, coe_mul, coe_mul, coe_mk, coe_mk,
mul_assoc, mul_assoc, mul_assoc, mul_assoc, mul_assoc, mul_inv_cancel_left] },
refine eq.trans (finset.prod_bij' (λ q _, g⁻¹ • q) (λ q _, finset.mem_univ _)
(λ q _, subtype.ext _) (λ q _, g • q) (λ q _, finset.mem_univ _) (λ q _, smul_inv_smul g q)
(λ q _, inv_smul_smul g q)) (map_prod ϕ _ _).symm,
simp_rw [monoid_hom.id_apply, monoid_hom.coe_mk, coe_mk, smul_apply_eq_smul_apply_inv_smul,
smul_eq_mul_unop, mul_inv_rev, mul_assoc],
end
variables {H} [normal H]
instance : mul_action G H.quotient_diff :=
{ smul := λ g, quotient.map' (λ α, op g⁻¹ • α) (λ α β h, subtype.ext (by rwa [smul_diff_smul',
coe_mk, coe_one, mul_eq_one_iff_eq_inv, mul_right_eq_self, ←coe_one, ←subtype.ext_iff])),
mul_smul := λ g₁ g₂ q, quotient.induction_on' q (λ T, congr_arg quotient.mk'
(by rw mul_inv_rev; exact mul_smul (op g₁⁻¹) (op g₂⁻¹) T)),
one_smul := λ q, quotient.induction_on' q (λ T, congr_arg quotient.mk'
(by rw inv_one; apply one_smul Gᵐᵒᵖ T)) }
lemma smul_diff' (h : H) :
diff (monoid_hom.id H) α ((op (h : G)) • β) = diff (monoid_hom.id H) α β * h ^ H.index :=
begin
rw [diff, diff, index_eq_card, ←finset.card_univ, ←finset.prod_const, ←finset.prod_mul_distrib],
refine finset.prod_congr rfl (λ q _, _),
simp_rw [subtype.ext_iff, monoid_hom.id_apply, coe_mul, coe_mk, mul_assoc, mul_right_inj],
rw [smul_apply_eq_smul_apply_inv_smul, smul_eq_mul_unop, unop_op,
mul_left_inj, ←subtype.ext_iff, equiv.apply_eq_iff_eq, inv_smul_eq_iff],
exact self_eq_mul_right.mpr ((quotient_group.eq_one_iff _).mpr h.2),
end
variables [fintype H]
lemma eq_one_of_smul_eq_one (hH : nat.coprime (fintype.card H) H.index)
(α : H.quotient_diff) (h : H) : h • α = α → h = 1 :=
quotient.induction_on' α $ λ α hα, (pow_coprime hH).injective $
calc h ^ H.index = diff (monoid_hom.id H) ((op ((h⁻¹ : H) : G)) • α) α :
by rw [←diff_inv, smul_diff', diff_self, one_mul, inv_pow, inv_inv]
... = 1 ^ H.index : (quotient.exact' hα).trans (one_pow H.index).symm
lemma exists_smul_eq (hH : nat.coprime (fintype.card H) H.index)
(α β : H.quotient_diff) : ∃ h : H, h • α = β :=
quotient.induction_on' α (quotient.induction_on' β (λ β α, exists_imp_exists (λ n, quotient.sound')
⟨(pow_coprime hH).symm (diff (monoid_hom.id H) β α), (diff_inv _ _ _).symm.trans
(inv_eq_one.mpr ((smul_diff' β α ((pow_coprime hH).symm (diff (monoid_hom.id H) β α))⁻¹).trans
(by rw [inv_pow, ←pow_coprime_apply hH, equiv.apply_symm_apply, mul_inv_self])))⟩))
lemma is_complement'_stabilizer_of_coprime {α : H.quotient_diff}
(hH : nat.coprime (fintype.card H) H.index) : is_complement' H (stabilizer G α) :=
is_complement'_stabilizer α (eq_one_of_smul_eq_one hH α) (λ g, exists_smul_eq hH (g • α) α)
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma exists_right_complement'_of_coprime_aux
(hH : nat.coprime (fintype.card H) H.index) : ∃ K : subgroup G, is_complement' H K :=
nonempty_of_inhabited.elim (λ α, ⟨stabilizer G α, is_complement'_stabilizer_of_coprime hH⟩)
end schur_zassenhaus_abelian
open_locale classical
universe u
namespace schur_zassenhaus_induction
/-! ## Proof of the Schur-Zassenhaus theorem
In this section, we prove the Schur-Zassenhaus theorem.
The proof is by contradiction. We assume that `G` is a minimal counterexample to the theorem.
-/
variables {G : Type u} [group G] [fintype G] {N : subgroup G} [normal N]
(h1 : nat.coprime (fintype.card N) N.index)
(h2 : ∀ (G' : Type u) [group G'] [fintype G'], by exactI
∀ (hG'3 : fintype.card G' < fintype.card G)
{N' : subgroup G'} [N'.normal] (hN : nat.coprime (fintype.card N') N'.index),
∃ H' : subgroup G', is_complement' N' H')
(h3 : ∀ H : subgroup G, ¬ is_complement' N H)
include h1 h2 h3
/-! We will arrive at a contradiction via the following steps:
* step 0: `N` (the normal Hall subgroup) is nontrivial.
* step 1: If `K` is a subgroup of `G` with `K ⊔ N = ⊤`, then `K = ⊤`.
* step 2: `N` is a minimal normal subgroup, phrased in terms of subgroups of `G`.
* step 3: `N` is a minimal normal subgroup, phrased in terms of subgroups of `N`.
* step 4: `p` (`min_fact (fintype.card N)`) is prime (follows from step0).
* step 5: `P` (a Sylow `p`-subgroup of `N`) is nontrivial.
* step 6: `N` is a `p`-group (applies step 1 to the normalizer of `P` in `G`).
* step 7: `N` is abelian (applies step 3 to the center of `N`).
-/
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
@[nolint unused_arguments] private lemma step0 : N ≠ ⊥ :=
begin
unfreezingI { rintro rfl },
exact h3 ⊤ is_complement'_bot_top,
end
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma step1 (K : subgroup G) (hK : K ⊔ N = ⊤) : K = ⊤ :=
begin
contrapose! h3,
have h4 : (N.comap K.subtype).index = N.index,
{ rw [←N.relindex_top_right, ←hK],
exact relindex_eq_relindex_sup K N },
have h5 : fintype.card K < fintype.card G,
{ rw ← K.index_mul_card,
exact lt_mul_of_one_lt_left fintype.card_pos (one_lt_index_of_ne_top h3) },
have h6 : nat.coprime (fintype.card (N.comap K.subtype)) (N.comap K.subtype).index,
{ rw h4,
exact h1.coprime_dvd_left (card_comap_dvd_of_injective N K.subtype subtype.coe_injective) },
obtain ⟨H, hH⟩ := h2 K h5 h6,
replace hH : fintype.card (H.map K.subtype) = N.index :=
((set.card_image_of_injective _ subtype.coe_injective).trans (nat.mul_left_injective
fintype.card_pos (hH.symm.card_mul.trans (N.comap K.subtype).index_mul_card.symm))).trans h4,
have h7 : fintype.card N * fintype.card (H.map K.subtype) = fintype.card G,
{ rw [hH, ←N.index_mul_card, mul_comm] },
have h8 : (fintype.card N).coprime (fintype.card (H.map K.subtype)),
{ rwa hH },
exact ⟨H.map K.subtype, is_complement'_of_coprime h7 h8⟩,
end
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma step2 (K : subgroup G) [K.normal] (hK : K ≤ N) : K = ⊥ ∨ K = N :=
begin
have : function.surjective (quotient_group.mk' K) := quotient.surjective_quotient_mk',
have h4 := step1 h1 h2 h3,
contrapose! h4,
have h5 : fintype.card (G ⧸ K) < fintype.card G,
{ rw [←index_eq_card, ←K.index_mul_card],
refine lt_mul_of_one_lt_right (nat.pos_of_ne_zero index_ne_zero_of_fintype)
(K.one_lt_card_iff_ne_bot.mpr h4.1) },
have h6 : nat.coprime (fintype.card (N.map (quotient_group.mk' K)))
(N.map (quotient_group.mk' K)).index,
{ have index_map := N.index_map_eq this (by rwa quotient_group.ker_mk),
have index_pos : 0 < N.index := nat.pos_of_ne_zero index_ne_zero_of_fintype,
rw index_map,
refine h1.coprime_dvd_left _,
rw [←nat.mul_dvd_mul_iff_left index_pos, index_mul_card, ←index_map, index_mul_card],
exact K.card_quotient_dvd_card },
obtain ⟨H, hH⟩ := h2 (G ⧸ K) h5 h6,
refine ⟨H.comap (quotient_group.mk' K), _, _⟩,
{ have key : (N.map (quotient_group.mk' K)).comap (quotient_group.mk' K) = N,
{ refine comap_map_eq_self _,
rwa quotient_group.ker_mk },
rwa [←key, comap_sup_eq, hH.symm.sup_eq_top, comap_top] },
{ rw ← comap_top (quotient_group.mk' K),
intro hH',
rw [comap_injective this hH', is_complement'_top_right,
map_eq_bot_iff, quotient_group.ker_mk] at hH,
{ exact h4.2 (le_antisymm hK hH) } },
end
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma step3 (K : subgroup N) [(K.map N.subtype).normal] : K = ⊥ ∨ K = ⊤ :=
begin
have key := step2 h1 h2 h3 (K.map N.subtype) K.map_subtype_le,
rw ← map_bot N.subtype at key,
conv at key { congr, skip, to_rhs, rw [←N.subtype_range, N.subtype.range_eq_map] },
have inj := map_injective (show function.injective N.subtype, from subtype.coe_injective),
rwa [inj.eq_iff, inj.eq_iff] at key,
end
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma step4 : (fintype.card N).min_fac.prime :=
(nat.min_fac_prime (N.one_lt_card_iff_ne_bot.mpr (step0 h1 h2 h3)).ne')
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma step5 {P : sylow (fintype.card N).min_fac N} : P.1 ≠ ⊥ :=
begin
haveI : fact ((fintype.card N).min_fac.prime) := ⟨step4 h1 h2 h3⟩,
exact P.ne_bot_of_dvd_card (fintype.card N).min_fac_dvd,
end
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma step6 : is_p_group (fintype.card N).min_fac N :=
begin
haveI : fact ((fintype.card N).min_fac.prime) := ⟨step4 h1 h2 h3⟩,
refine sylow.nonempty.elim (λ P, P.2.of_surjective P.1.subtype _),
rw [←monoid_hom.range_top_iff_surjective, subtype_range],
haveI : (P.1.map N.subtype).normal := normalizer_eq_top.mp
(step1 h1 h2 h3 (P.1.map N.subtype).normalizer P.normalizer_sup_eq_top),
exact (step3 h1 h2 h3 P.1).resolve_left (step5 h1 h2 h3),
end
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
lemma step7 : is_commutative N :=
begin
haveI := N.bot_or_nontrivial.resolve_left (step0 h1 h2 h3),
haveI : fact ((fintype.card N).min_fac.prime) := ⟨step4 h1 h2 h3⟩,
exact ⟨⟨λ g h, eq_top_iff.mp ((step3 h1 h2 h3 N.center).resolve_left
(step6 h1 h2 h3).bot_lt_center.ne') (mem_top h) g⟩⟩,
end
end schur_zassenhaus_induction
variables {n : ℕ} {G : Type u} [group G]
/-- Do not use this lemma: It is made obsolete by `exists_right_complement'_of_coprime` -/
private lemma exists_right_complement'_of_coprime_aux' [fintype G] (hG : fintype.card G = n)
{N : subgroup G} [N.normal] (hN : nat.coprime (fintype.card N) N.index) :
∃ H : subgroup G, is_complement' N H :=
begin
unfreezingI { revert G },
apply nat.strong_induction_on n,
rintros n ih G _ _ rfl N _ hN,
refine not_forall_not.mp (λ h3, _),
haveI := by exactI
schur_zassenhaus_induction.step7 hN (λ G' _ _ hG', by { apply ih _ hG', refl }) h3,
exact not_exists_of_forall_not h3 (exists_right_complement'_of_coprime_aux hN),
end
/-- **Schur-Zassenhaus** for normal subgroups:
If `H : subgroup G` is normal, and has order coprime to its index, then there exists a
subgroup `K` which is a (right) complement of `H`. -/
theorem exists_right_complement'_of_coprime_of_fintype [fintype G]
{N : subgroup G} [N.normal] (hN : nat.coprime (fintype.card N) N.index) :
∃ H : subgroup G, is_complement' N H :=
exists_right_complement'_of_coprime_aux' rfl hN
/-- **Schur-Zassenhaus** for normal subgroups:
If `H : subgroup G` is normal, and has order coprime to its index, then there exists a
subgroup `K` which is a (right) complement of `H`. -/
theorem exists_right_complement'_of_coprime
{N : subgroup G} [N.normal] (hN : nat.coprime (nat.card N) N.index) :
∃ H : subgroup G, is_complement' N H :=
begin
by_cases hN1 : nat.card N = 0,
{ rw [hN1, nat.coprime_zero_left, index_eq_one] at hN,
rw hN,
exact ⟨⊥, is_complement'_top_bot⟩ },
by_cases hN2 : N.index = 0,
{ rw [hN2, nat.coprime_zero_right] at hN,
haveI := (cardinal.to_nat_eq_one_iff_unique.mp hN).1,
rw N.eq_bot_of_subsingleton,
exact ⟨⊤, is_complement'_bot_top⟩ },
have hN3 : nat.card G ≠ 0,
{ rw ← N.card_mul_index,
exact mul_ne_zero hN1 hN2 },
haveI := (cardinal.lt_omega_iff_fintype.mp
(lt_of_not_ge (mt cardinal.to_nat_apply_of_omega_le hN3))).some,
rw nat.card_eq_fintype_card at hN,
exact exists_right_complement'_of_coprime_of_fintype hN,
end
/-- **Schur-Zassenhaus** for normal subgroups:
If `H : subgroup G` is normal, and has order coprime to its index, then there exists a
subgroup `K` which is a (left) complement of `H`. -/
theorem exists_left_complement'_of_coprime_of_fintype
[fintype G] {N : subgroup G} [N.normal] (hN : nat.coprime (fintype.card N) N.index) :
∃ H : subgroup G, is_complement' H N :=
Exists.imp (λ _, is_complement'.symm) (exists_right_complement'_of_coprime_of_fintype hN)
/-- **Schur-Zassenhaus** for normal subgroups:
If `H : subgroup G` is normal, and has order coprime to its index, then there exists a
subgroup `K` which is a (left) complement of `H`. -/
theorem exists_left_complement'_of_coprime
{N : subgroup G} [N.normal] (hN : nat.coprime (nat.card N) N.index) :
∃ H : subgroup G, is_complement' H N :=
Exists.imp (λ _, is_complement'.symm) (exists_right_complement'_of_coprime hN)
end subgroup
|
691da2cd8073044fec0960fc80a6de6ed4d6c798 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/algebraic_geometry/properties.lean | a67a35022dfcf1fa59184cbce475f3f7846c2abf | [
"Apache-2.0"
] | permissive | kbuzzard/mathlib | 2ff9e85dfe2a46f4b291927f983afec17e946eb8 | 58537299e922f9c77df76cb613910914a479c1f7 | refs/heads/master | 1,685,313,702,744 | 1,683,974,212,000 | 1,683,974,212,000 | 128,185,277 | 1 | 0 | null | 1,522,920,600,000 | 1,522,920,600,000 | null | UTF-8 | Lean | false | false | 14,008 | lean | /-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import algebraic_geometry.AffineScheme
import ring_theory.nilpotent
import topology.sheaves.sheaf_condition.sites
import algebra.category.Ring.constructions
import ring_theory.local_properties
/-!
# Basic properties of schemes
We provide some basic properties of schemes
## Main definition
* `algebraic_geometry.is_integral`: A scheme is integral if it is nontrivial and all nontrivial
components of the structure sheaf are integral domains.
* `algebraic_geometry.is_reduced`: A scheme is reduced if all the components of the structure sheaf
is reduced.
-/
open topological_space opposite category_theory category_theory.limits Top
namespace algebraic_geometry
variable (X : Scheme)
instance : t0_space X.carrier :=
begin
refine t0_space.of_open_cover (λ x, _),
obtain ⟨U, R, ⟨e⟩⟩ := X.local_affine x,
let e' : U.1 ≃ₜ prime_spectrum R :=
homeo_of_iso ((LocallyRingedSpace.forget_to_SheafedSpace ⋙ SheafedSpace.forget _).map_iso e),
exact ⟨U.1.1, U.2, U.1.2, e'.embedding.t0_space⟩
end
instance : quasi_sober X.carrier :=
begin
apply_with (quasi_sober_of_open_cover
(set.range (λ x, set.range $ (X.affine_cover.map x).1.base)))
{ instances := ff },
{ rintro ⟨_,i,rfl⟩, exact (X.affine_cover.is_open i).base_open.open_range },
{ rintro ⟨_,i,rfl⟩,
exact @@open_embedding.quasi_sober _ _ _
(homeomorph.of_embedding _ (X.affine_cover.is_open i).base_open.to_embedding)
.symm.open_embedding prime_spectrum.quasi_sober },
{ rw [set.top_eq_univ, set.sUnion_range, set.eq_univ_iff_forall],
intro x, exact ⟨_, ⟨_, rfl⟩, X.affine_cover.covers x⟩ }
end
/-- A scheme `X` is reduced if all `𝒪ₓ(U)` are reduced. -/
class is_reduced : Prop :=
(component_reduced : ∀ U, _root_.is_reduced (X.presheaf.obj (op U)) . tactic.apply_instance)
attribute [instance] is_reduced.component_reduced
lemma is_reduced_of_stalk_is_reduced [∀ x : X.carrier, _root_.is_reduced (X.presheaf.stalk x)] :
is_reduced X :=
begin
refine ⟨λ U, ⟨λ s hs, _⟩⟩,
apply presheaf.section_ext X.sheaf U s 0,
intro x,
rw ring_hom.map_zero,
change X.presheaf.germ x s = 0,
exact (hs.map _).eq_zero
end
instance stalk_is_reduced_of_reduced [is_reduced X] (x : X.carrier) :
_root_.is_reduced (X.presheaf.stalk x) :=
begin
constructor,
rintros g ⟨n, e⟩,
obtain ⟨U, hxU, s, rfl⟩ := X.presheaf.germ_exist x g,
rw [← map_pow, ← map_zero (X.presheaf.germ ⟨x, hxU⟩)] at e,
obtain ⟨V, hxV, iU, iV, e'⟩ := X.presheaf.germ_eq x hxU hxU _ 0 e,
rw [map_pow, map_zero] at e',
replace e' := (is_nilpotent.mk _ _ e').eq_zero,
erw ← concrete_category.congr_hom (X.presheaf.germ_res iU ⟨x, hxV⟩) s,
rw [comp_apply, e', map_zero]
end
lemma is_reduced_of_open_immersion {X Y : Scheme} (f : X ⟶ Y) [H : is_open_immersion f]
[is_reduced Y] : is_reduced X :=
begin
constructor,
intro U,
have : U = (opens.map f.1.base).obj (H.base_open.is_open_map.functor.obj U),
{ ext1, exact (set.preimage_image_eq _ H.base_open.inj).symm },
rw this,
exact is_reduced_of_injective (inv $ f.1.c.app (op $ H.base_open.is_open_map.functor.obj U))
(as_iso $ f.1.c.app (op $ H.base_open.is_open_map.functor.obj U) : Y.presheaf.obj _ ≅ _).symm
.CommRing_iso_to_ring_equiv.injective
end
instance {R : CommRing} [H : _root_.is_reduced R] : is_reduced (Scheme.Spec.obj $ op R) :=
begin
apply_with is_reduced_of_stalk_is_reduced { instances := ff },
intro x, dsimp,
haveI : _root_.is_reduced (CommRing.of $ localization.at_prime (prime_spectrum.as_ideal x)),
{ dsimp, apply_instance },
exact is_reduced_of_injective (structure_sheaf.stalk_iso R x).hom
(structure_sheaf.stalk_iso R x).CommRing_iso_to_ring_equiv.injective,
end
lemma affine_is_reduced_iff (R : CommRing) :
is_reduced (Scheme.Spec.obj $ op R) ↔ _root_.is_reduced R :=
begin
refine ⟨_, λ h, by exactI infer_instance⟩,
intro h,
resetI,
haveI : _root_.is_reduced (LocallyRingedSpace.Γ.obj (op $ Spec.to_LocallyRingedSpace.obj $ op R)),
{ change _root_.is_reduced ((Scheme.Spec.obj $ op R).presheaf.obj $ op ⊤), apply_instance },
exact is_reduced_of_injective (to_Spec_Γ R)
((as_iso $ to_Spec_Γ R).CommRing_iso_to_ring_equiv.injective)
end
lemma is_reduced_of_is_affine_is_reduced [is_affine X]
[h : _root_.is_reduced (X.presheaf.obj (op ⊤))] : is_reduced X :=
begin
haveI : is_reduced (Scheme.Spec.obj (op (Scheme.Γ.obj (op X)))),
{ rw affine_is_reduced_iff, exact h },
exact is_reduced_of_open_immersion X.iso_Spec.hom,
end
/-- To show that a statement `P` holds for all open subsets of all schemes, it suffices to show that
1. In any scheme `X`, if `P` holds for an open cover of `U`, then `P` holds for `U`.
2. For an open immerison `f : X ⟶ Y`, if `P` holds for the entire space of `X`, then `P` holds for
the image of `f`.
3. `P` holds for the entire space of an affine scheme.
-/
lemma reduce_to_affine_global (P : ∀ (X : Scheme) (U : opens X.carrier), Prop)
(h₁ : ∀ (X : Scheme) (U : opens X.carrier),
(∀ (x : U), ∃ {V} (h : x.1 ∈ V) (i : V ⟶ U), P X V) → P X U)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [hf : is_open_immersion f], ∃ {U : set X.carrier} {V : set Y.carrier}
(hU : U = ⊤) (hV : V = set.range f.1.base), P X ⟨U, hU.symm ▸ is_open_univ⟩ →
P Y ⟨V, hV.symm ▸ hf.base_open.open_range⟩)
(h₃ : ∀ (R : CommRing), P (Scheme.Spec.obj $ op R) ⊤) :
∀ (X : Scheme) (U : opens X.carrier), P X U :=
begin
intros X U,
apply h₁,
intro x,
obtain ⟨_, ⟨j, rfl⟩, hx, i⟩ := X.affine_basis_cover_is_basis.exists_subset_of_mem_open
(set_like.mem_coe.2 x.prop) U.is_open,
let U' : opens _ := ⟨_, (X.affine_basis_cover.is_open j).base_open.open_range⟩,
let i' : U' ⟶ U :=
hom_of_le i,
refine ⟨U', hx, i', _⟩,
obtain ⟨_,_,rfl,rfl,h₂'⟩ := h₂ (X.affine_basis_cover.map j),
apply h₂',
apply h₃
end
lemma reduce_to_affine_nbhd (P : ∀ (X : Scheme) (x : X.carrier), Prop)
(h₁ : ∀ (R : CommRing) (x : prime_spectrum R), P (Scheme.Spec.obj $ op R) x)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [is_open_immersion f] (x : X.carrier), P X x → P Y (f.1.base x)) :
∀ (X : Scheme) (x : X.carrier), P X x :=
begin
intros X x,
obtain ⟨y, e⟩ := X.affine_cover.covers x,
convert h₂ (X.affine_cover.map (X.affine_cover.f x)) y _,
{ rw e },
apply h₁,
end
lemma eq_zero_of_basic_open_eq_bot {X : Scheme} [hX : is_reduced X] {U : opens X.carrier}
(s : X.presheaf.obj (op U)) (hs : X.basic_open s = ⊥) :
s = 0 :=
begin
apply Top.presheaf.section_ext X.sheaf U,
simp_rw ring_hom.map_zero,
unfreezingI { revert X U hX s },
refine reduce_to_affine_global _ _ _ _,
{ intros X U hx hX s hs x,
obtain ⟨V, hx, i, H⟩ := hx x,
unfreezingI { specialize H (X.presheaf.map i.op s) },
erw Scheme.basic_open_res at H,
rw [hs] at H,
specialize H inf_bot_eq ⟨x, hx⟩,
erw Top.presheaf.germ_res_apply at H,
exact H },
{ rintros X Y f hf,
have e : (f.val.base) ⁻¹' set.range ⇑(f.val.base) = set.univ,
{ rw [← set.image_univ, set.preimage_image_eq _ hf.base_open.inj] },
refine ⟨_, _, e, rfl, _⟩,
rintros H hX s hs ⟨_, x, rfl⟩,
unfreezingI { haveI := is_reduced_of_open_immersion f },
specialize H (f.1.c.app _ s) _ ⟨x, by { rw [opens.mem_mk, e], trivial }⟩,
{ rw [← Scheme.preimage_basic_open, hs], ext1, simp [opens.map] },
{ erw ← PresheafedSpace.stalk_map_germ_apply f.1 ⟨_,_⟩ ⟨x,_⟩ at H,
apply_fun (inv $ PresheafedSpace.stalk_map f.val x) at H,
erw [category_theory.is_iso.hom_inv_id_apply, map_zero] at H,
exact H } },
{ intros R hX s hs x,
erw [basic_open_eq_of_affine', prime_spectrum.basic_open_eq_bot_iff] at hs,
replace hs := (hs.map (Spec_Γ_identity.app R).inv),
-- what the hell?!
replace hs := @is_nilpotent.eq_zero _ _ _ _ (show _, from _) hs,
rw iso.hom_inv_id_apply at hs,
rw [hs, map_zero],
exact @@is_reduced.component_reduced hX ⊤ }
end
@[simp]
lemma basic_open_eq_bot_iff {X : Scheme} [is_reduced X] {U : opens X.carrier}
(s : X.presheaf.obj $ op U) :
X.basic_open s = ⊥ ↔ s = 0 :=
begin
refine ⟨eq_zero_of_basic_open_eq_bot s, _⟩,
rintro rfl,
simp,
end
/-- A scheme `X` is integral if its carrier is nonempty,
and `𝒪ₓ(U)` is an integral domain for each `U ≠ ∅`. -/
class is_integral : Prop :=
(nonempty : nonempty X.carrier . tactic.apply_instance)
(component_integral : ∀ (U : opens X.carrier) [_root_.nonempty U],
is_domain (X.presheaf.obj (op U)) . tactic.apply_instance)
attribute [instance] is_integral.component_integral is_integral.nonempty
instance [h : is_integral X] : is_domain (X.presheaf.obj (op ⊤)) :=
@@is_integral.component_integral _ _ (by simp)
@[priority 900]
instance is_reduced_of_is_integral [is_integral X] : is_reduced X :=
begin
constructor,
intro U,
cases U.1.eq_empty_or_nonempty with h h,
{ have : U = ⊥ := set_like.ext' h,
haveI := CommRing.subsingleton_of_is_terminal (X.sheaf.is_terminal_of_eq_empty this),
change _root_.is_reduced (X.sheaf.val.obj (op U)),
apply_instance },
{ haveI : nonempty U := by simpa, apply_instance }
end
instance is_irreducible_of_is_integral [is_integral X] : irreducible_space X.carrier :=
begin
by_contradiction H,
replace H : ¬ is_preirreducible (⊤ : set X.carrier) := λ h,
H { to_preirreducible_space := ⟨h⟩, to_nonempty := infer_instance },
simp_rw [is_preirreducible_iff_closed_union_closed, not_forall, not_or_distrib] at H,
rcases H with ⟨S, T, hS, hT, h₁, h₂, h₃⟩,
erw not_forall at h₂ h₃,
simp_rw not_forall at h₂ h₃,
haveI : nonempty (⟨Sᶜ, hS.1⟩ : opens X.carrier) := ⟨⟨_, h₂.some_spec.some_spec⟩⟩,
haveI : nonempty (⟨Tᶜ, hT.1⟩ : opens X.carrier) := ⟨⟨_, h₃.some_spec.some_spec⟩⟩,
haveI : nonempty (⟨Sᶜ, hS.1⟩ ⊔ ⟨Tᶜ, hT.1⟩ : opens X.carrier) :=
⟨⟨_, or.inl h₂.some_spec.some_spec⟩⟩,
let e : X.presheaf.obj _ ≅ CommRing.of _ := (X.sheaf.is_product_of_disjoint ⟨_, hS.1⟩ ⟨_, hT.1⟩ _)
.cone_point_unique_up_to_iso (CommRing.prod_fan_is_limit _ _),
apply_with false_of_nontrivial_of_product_domain { instances := ff },
{ exact e.symm.CommRing_iso_to_ring_equiv.is_domain _ },
{ apply X.to_LocallyRingedSpace.component_nontrivial },
{ apply X.to_LocallyRingedSpace.component_nontrivial },
{ ext x,
split,
{ rintros ⟨hS,hT⟩,
cases h₁ (show x ∈ ⊤, by trivial),
exacts [hS h, hT h] },
{ intro x, exact x.rec _ } }
end
lemma is_integral_of_is_irreducible_is_reduced [is_reduced X] [H : irreducible_space X.carrier] :
is_integral X :=
begin
split, intros U hU,
haveI := (@@LocallyRingedSpace.component_nontrivial X.to_LocallyRingedSpace U hU).1,
haveI : no_zero_divisors
(X.to_LocallyRingedSpace.to_SheafedSpace.to_PresheafedSpace.presheaf.obj (op U)),
{ refine ⟨λ a b e, _⟩,
simp_rw [← basic_open_eq_bot_iff, ← opens.not_nonempty_iff_eq_bot],
by_contra' h,
obtain ⟨_, ⟨x, hx₁, rfl⟩, ⟨x, hx₂, e'⟩⟩ := @@nonempty_preirreducible_inter _ H.1
(X.basic_open a).2 (X.basic_open b).2 h.1 h.2,
replace e' := subtype.eq e',
subst e',
replace e := congr_arg (X.presheaf.germ x) e,
rw [ring_hom.map_mul, ring_hom.map_zero] at e,
refine zero_ne_one' (X.presheaf.stalk x.1) (is_unit_zero_iff.1 _),
convert hx₁.mul hx₂,
exact e.symm },
exact no_zero_divisors.to_is_domain _
end
lemma is_integral_iff_is_irreducible_and_is_reduced :
is_integral X ↔ irreducible_space X.carrier ∧ is_reduced X :=
⟨λ _, by exactI ⟨infer_instance, infer_instance⟩,
λ ⟨_, _⟩, by exactI is_integral_of_is_irreducible_is_reduced X⟩
lemma is_integral_of_open_immersion {X Y : Scheme} (f : X ⟶ Y) [H : is_open_immersion f]
[is_integral Y] [nonempty X.carrier] : is_integral X :=
begin
constructor,
intros U hU,
have : U = (opens.map f.1.base).obj (H.base_open.is_open_map.functor.obj U),
{ ext1, exact (set.preimage_image_eq _ H.base_open.inj).symm },
rw this,
haveI : is_domain (Y.presheaf.obj (op (H.base_open.is_open_map.functor.obj U))),
{ apply_with is_integral.component_integral { instances := ff },
apply_instance,
refine ⟨⟨_, _, hU.some.prop, rfl⟩⟩ },
exact (as_iso $ f.1.c.app (op $ H.base_open.is_open_map.functor.obj U) :
Y.presheaf.obj _ ≅ _).symm.CommRing_iso_to_ring_equiv.is_domain _
end
instance {R : CommRing} [H : is_domain R] : is_integral (Scheme.Spec.obj $ op R) :=
begin
apply_with is_integral_of_is_irreducible_is_reduced { instances := ff },
{ apply_instance },
{ dsimp [Spec.Top_obj],
apply_instance },
end
lemma affine_is_integral_iff (R : CommRing) :
is_integral (Scheme.Spec.obj $ op R) ↔ is_domain R :=
⟨λ h, by exactI ring_equiv.is_domain ((Scheme.Spec.obj $ op R).presheaf.obj _)
(as_iso $ to_Spec_Γ R).CommRing_iso_to_ring_equiv, λ h, by exactI infer_instance⟩
lemma is_integral_of_is_affine_is_domain [is_affine X] [nonempty X.carrier]
[h : is_domain (X.presheaf.obj (op ⊤))] : is_integral X :=
begin
haveI : is_integral (Scheme.Spec.obj (op (Scheme.Γ.obj (op X)))),
{ rw affine_is_integral_iff, exact h },
exact is_integral_of_open_immersion X.iso_Spec.hom,
end
lemma map_injective_of_is_integral [is_integral X] {U V : opens X.carrier} (i : U ⟶ V)
[H : nonempty U] :
function.injective (X.presheaf.map i.op) :=
begin
rw injective_iff_map_eq_zero,
intros x hx,
rw ← basic_open_eq_bot_iff at ⊢ hx,
rw Scheme.basic_open_res at hx,
revert hx,
contrapose!,
simp_rw [← opens.not_nonempty_iff_eq_bot, not_not],
apply nonempty_preirreducible_inter U.is_open (RingedSpace.basic_open _ _).is_open,
simpa using H
end
end algebraic_geometry
|
2abe736fe33c09bcbb87bb57b9de61984947bde8 | e5169dbb8b1bea3ec2a32737442bc91a4a94b46a | /hott/cubical/square.hlean | 5b3f328168b5a75622c3f6d79cf0850ee0ed72ce | [
"Apache-2.0"
] | permissive | pazthor/lean | 733b775e3123f6bbd2c4f7ccb5b560b467b76800 | c923120db54276a22a75b12c69765765608a8e76 | refs/heads/master | 1,610,703,744,289 | 1,448,419,395,000 | 1,448,419,703,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 24,445 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Floris van Doorn
Squares in a type
-/
import types.eq
open eq equiv is_equiv
namespace eq
variables {A B : Type} {a a' a'' a₀₀ a₂₀ a₄₀ a₀₂ a₂₂ a₂₄ a₀₄ a₄₂ a₄₄ a₁ a₂ a₃ a₄ : A}
/-a₀₀-/ {p₁₀ p₁₀' : a₀₀ = a₂₀} /-a₂₀-/ {p₃₀ : a₂₀ = a₄₀} /-a₄₀-/
{p₀₁ p₀₁' : a₀₀ = a₀₂} /-s₁₁-/ {p₂₁ p₂₁' : a₂₀ = a₂₂} /-s₃₁-/ {p₄₁ : a₄₀ = a₄₂}
/-a₀₂-/ {p₁₂ p₁₂' : a₀₂ = a₂₂} /-a₂₂-/ {p₃₂ : a₂₂ = a₄₂} /-a₄₂-/
{p₀₃ : a₀₂ = a₀₄} /-s₁₃-/ {p₂₃ : a₂₂ = a₂₄} /-s₃₃-/ {p₄₃ : a₄₂ = a₄₄}
/-a₀₄-/ {p₁₄ : a₀₄ = a₂₄} /-a₂₄-/ {p₃₄ : a₂₄ = a₄₄} /-a₄₄-/
inductive square {A : Type} {a₀₀ : A}
: Π{a₂₀ a₀₂ a₂₂ : A}, a₀₀ = a₂₀ → a₀₂ = a₂₂ → a₀₀ = a₀₂ → a₂₀ = a₂₂ → Type :=
ids : square idp idp idp idp
/- square top bottom left right -/
variables {s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁} {s₃₁ : square p₃₀ p₃₂ p₂₁ p₄₁}
{s₁₃ : square p₁₂ p₁₄ p₀₃ p₂₃} {s₃₃ : square p₃₂ p₃₄ p₂₃ p₄₃}
definition ids [reducible] [constructor] := @square.ids
definition idsquare [reducible] [constructor] (a : A) := @square.ids A a
definition hrefl [unfold 4] (p : a = a') : square idp idp p p :=
by induction p; exact ids
definition vrefl [unfold 4] (p : a = a') : square p p idp idp :=
by induction p; exact ids
definition hrfl [reducible] [unfold 4] {p : a = a'} : square idp idp p p :=
!hrefl
definition vrfl [reducible] [unfold 4] {p : a = a'} : square p p idp idp :=
!vrefl
definition hdeg_square [unfold 6] {p q : a = a'} (r : p = q) : square idp idp p q :=
by induction r;apply hrefl
definition vdeg_square [unfold 6] {p q : a = a'} (r : p = q) : square p q idp idp :=
by induction r;apply vrefl
definition hconcat [unfold 16] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (s₃₁ : square p₃₀ p₃₂ p₂₁ p₄₁)
: square (p₁₀ ⬝ p₃₀) (p₁₂ ⬝ p₃₂) p₀₁ p₄₁ :=
by induction s₃₁; exact s₁₁
definition vconcat [unfold 16] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (s₁₃ : square p₁₂ p₁₄ p₀₃ p₂₃)
: square p₁₀ p₁₄ (p₀₁ ⬝ p₀₃) (p₂₁ ⬝ p₂₃) :=
by induction s₁₃; exact s₁₁
definition hinverse [unfold 10] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) : square p₁₀⁻¹ p₁₂⁻¹ p₂₁ p₀₁ :=
by induction s₁₁;exact ids
definition vinverse [unfold 10] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) : square p₁₂ p₁₀ p₀₁⁻¹ p₂₁⁻¹ :=
by induction s₁₁;exact ids
definition eq_vconcat [unfold 11] {p : a₀₀ = a₂₀} (r : p = p₁₀) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) :
square p p₁₂ p₀₁ p₂₁ :=
by induction r; exact s₁₁
definition vconcat_eq [unfold 12] {p : a₀₂ = a₂₂} (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (r : p₁₂ = p) :
square p₁₀ p p₀₁ p₂₁ :=
by induction r; exact s₁₁
definition eq_hconcat [unfold 11] {p : a₀₀ = a₀₂} (r : p = p₀₁) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) :
square p₁₀ p₁₂ p p₂₁ :=
by induction r; exact s₁₁
definition hconcat_eq [unfold 12] {p : a₂₀ = a₂₂} (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (r : p₂₁ = p) :
square p₁₀ p₁₂ p₀₁ p :=
by induction r; exact s₁₁
infix ` ⬝h `:75 := hconcat
infix ` ⬝v `:75 := vconcat
infix ` ⬝hp `:75 := hconcat_eq
infix ` ⬝vp `:75 := vconcat_eq
infix ` ⬝ph `:75 := eq_hconcat
infix ` ⬝pv `:75 := eq_vconcat
postfix `⁻¹ʰ`:(max+1) := hinverse
postfix `⁻¹ᵛ`:(max+1) := vinverse
definition transpose [unfold 10] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) : square p₀₁ p₂₁ p₁₀ p₁₂ :=
by induction s₁₁;exact ids
definition aps [unfold 12] {B : Type} (f : A → B) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square (ap f p₁₀) (ap f p₁₂) (ap f p₀₁) (ap f p₂₁) :=
by induction s₁₁;exact ids
definition natural_square [unfold 8] {f g : A → B} (p : f ~ g) (q : a = a') :
square (ap f q) (ap g q) (p a) (p a') :=
eq.rec_on q hrfl
definition natural_square_tr [unfold 8] {f g : A → B} (p : f ~ g) (q : a = a') :
square (p a) (p a') (ap f q) (ap g q) :=
eq.rec_on q vrfl
/- canceling, whiskering and moving thinks along the sides of the square -/
definition whisker_tl (p : a = a₀₀) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square (p ⬝ p₁₀) p₁₂ (p ⬝ p₀₁) p₂₁ :=
by induction s₁₁;induction p;constructor
definition whisker_br (p : a₂₂ = a) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square p₁₀ (p₁₂ ⬝ p) p₀₁ (p₂₁ ⬝ p) :=
by induction p;exact s₁₁
definition whisker_rt (p : a = a₂₀) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square (p₁₀ ⬝ p⁻¹) p₁₂ p₀₁ (p ⬝ p₂₁) :=
by induction s₁₁;induction p;constructor
definition whisker_tr (p : a₂₀ = a) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square (p₁₀ ⬝ p) p₁₂ p₀₁ (p⁻¹ ⬝ p₂₁) :=
by induction s₁₁;induction p;constructor
definition whisker_bl (p : a = a₀₂) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square p₁₀ (p ⬝ p₁₂) (p₀₁ ⬝ p⁻¹) p₂₁ :=
by induction s₁₁;induction p;constructor
definition whisker_lb (p : a₀₂ = a) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: square p₁₀ (p⁻¹ ⬝ p₁₂) (p₀₁ ⬝ p) p₂₁ :=
by induction s₁₁;induction p;constructor
definition cancel_tl (p : a = a₀₀) (s₁₁ : square (p ⬝ p₁₀) p₁₂ (p ⬝ p₀₁) p₂₁)
: square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p; rewrite +idp_con at s₁₁; exact s₁₁
definition cancel_br (p : a₂₂ = a) (s₁₁ : square p₁₀ (p₁₂ ⬝ p) p₀₁ (p₂₁ ⬝ p))
: square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p;exact s₁₁
definition cancel_rt (p : a = a₂₀) (s₁₁ : square (p₁₀ ⬝ p⁻¹) p₁₂ p₀₁ (p ⬝ p₂₁))
: square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p; rewrite idp_con at s₁₁; exact s₁₁
definition cancel_tr (p : a₂₀ = a) (s₁₁ : square (p₁₀ ⬝ p) p₁₂ p₀₁ (p⁻¹ ⬝ p₂₁))
: square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p; rewrite [▸* at s₁₁,idp_con at s₁₁]; exact s₁₁
definition cancel_bl (p : a = a₀₂) (s₁₁ : square p₁₀ (p ⬝ p₁₂) (p₀₁ ⬝ p⁻¹) p₂₁)
: square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p; rewrite idp_con at s₁₁; exact s₁₁
definition cancel_lb (p : a₀₂ = a) (s₁₁ : square p₁₀ (p⁻¹ ⬝ p₁₂) (p₀₁ ⬝ p) p₂₁)
: square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p; rewrite [▸* at s₁₁,idp_con at s₁₁]; exact s₁₁
definition move_top_of_left {p : a₀₀ = a} {q : a = a₀₂} (s : square p₁₀ p₁₂ (p ⬝ q) p₂₁)
: square (p⁻¹ ⬝ p₁₀) p₁₂ q p₂₁ :=
by apply cancel_tl p; rewrite con_inv_cancel_left; exact s
definition move_top_of_left' {p : a = a₀₀} {q : a = a₀₂} (s : square p₁₀ p₁₂ (p⁻¹ ⬝ q) p₂₁)
: square (p ⬝ p₁₀) p₁₂ q p₂₁ :=
by apply cancel_tl p⁻¹; rewrite inv_con_cancel_left; exact s
definition move_left_of_top {p : a₀₀ = a} {q : a = a₂₀} (s : square (p ⬝ q) p₁₂ p₀₁ p₂₁)
: square q p₁₂ (p⁻¹ ⬝ p₀₁) p₂₁ :=
by apply cancel_tl p; rewrite con_inv_cancel_left; exact s
definition move_left_of_top' {p : a = a₀₀} {q : a = a₂₀} (s : square (p⁻¹ ⬝ q) p₁₂ p₀₁ p₂₁)
: square q p₁₂ (p ⬝ p₀₁) p₂₁ :=
by apply cancel_tl p⁻¹; rewrite inv_con_cancel_left; exact s
definition move_bot_of_right {p : a₂₀ = a} {q : a = a₂₂} (s : square p₁₀ p₁₂ p₀₁ (p ⬝ q))
: square p₁₀ (p₁₂ ⬝ q⁻¹) p₀₁ p :=
by apply cancel_br q; rewrite inv_con_cancel_right; exact s
definition move_bot_of_right' {p : a₂₀ = a} {q : a₂₂ = a} (s : square p₁₀ p₁₂ p₀₁ (p ⬝ q⁻¹))
: square p₁₀ (p₁₂ ⬝ q) p₀₁ p :=
by apply cancel_br q⁻¹; rewrite con_inv_cancel_right; exact s
definition move_right_of_bot {p : a₀₂ = a} {q : a = a₂₂} (s : square p₁₀ (p ⬝ q) p₀₁ p₂₁)
: square p₁₀ p p₀₁ (p₂₁ ⬝ q⁻¹) :=
by apply cancel_br q; rewrite inv_con_cancel_right; exact s
definition move_right_of_bot' {p : a₀₂ = a} {q : a₂₂ = a} (s : square p₁₀ (p ⬝ q⁻¹) p₀₁ p₂₁)
: square p₁₀ p p₀₁ (p₂₁ ⬝ q) :=
by apply cancel_br q⁻¹; rewrite con_inv_cancel_right; exact s
definition move_top_of_right {p : a₂₀ = a} {q : a = a₂₂} (s : square p₁₀ p₁₂ p₀₁ (p ⬝ q))
: square (p₁₀ ⬝ p) p₁₂ p₀₁ q :=
by apply cancel_rt p; rewrite con_inv_cancel_right; exact s
definition move_right_of_top {p : a₀₀ = a} {q : a = a₂₀} (s : square (p ⬝ q) p₁₂ p₀₁ p₂₁)
: square p p₁₂ p₀₁ (q ⬝ p₂₁) :=
by apply cancel_tr q; rewrite inv_con_cancel_left; exact s
definition move_bot_of_left {p : a₀₀ = a} {q : a = a₀₂} (s : square p₁₀ p₁₂ (p ⬝ q) p₂₁)
: square p₁₀ (q ⬝ p₁₂) p p₂₁ :=
by apply cancel_lb q; rewrite inv_con_cancel_left; exact s
definition move_left_of_bot {p : a₀₂ = a} {q : a = a₂₂} (s : square p₁₀ (p ⬝ q) p₀₁ p₂₁)
: square p₁₀ q (p₀₁ ⬝ p) p₂₁ :=
by apply cancel_bl p; rewrite con_inv_cancel_right; exact s
/- some higher ∞-groupoid operations -/
definition vconcat_vrfl (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: s₁₁ ⬝v vrefl p₁₂ = s₁₁ :=
by induction s₁₁; reflexivity
definition hconcat_hrfl (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: s₁₁ ⬝h hrefl p₂₁ = s₁₁ :=
by induction s₁₁; reflexivity
/- equivalences -/
definition eq_of_square [unfold 10] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) : p₁₀ ⬝ p₂₁ = p₀₁ ⬝ p₁₂ :=
by induction s₁₁; apply idp
definition square_of_eq (r : p₁₀ ⬝ p₂₁ = p₀₁ ⬝ p₁₂) : square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p₁₂; esimp at r; induction r; induction p₂₁; induction p₁₀; exact ids
definition eq_top_of_square [unfold 10] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: p₁₀ = p₀₁ ⬝ p₁₂ ⬝ p₂₁⁻¹ :=
by induction s₁₁; apply idp
definition square_of_eq_top (r : p₁₀ = p₀₁ ⬝ p₁₂ ⬝ p₂₁⁻¹) : square p₁₀ p₁₂ p₀₁ p₂₁ :=
by induction p₂₁; induction p₁₂; esimp at r;induction r;induction p₁₀;exact ids
definition eq_bot_of_square [unfold 10] (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: p₁₂ = p₀₁⁻¹ ⬝ p₁₀ ⬝ p₂₁ :=
by induction s₁₁; apply idp
definition square_equiv_eq [constructor] (t : a₀₀ = a₀₂) (b : a₂₀ = a₂₂)
(l : a₀₀ = a₂₀) (r : a₀₂ = a₂₂) : square t b l r ≃ t ⬝ r = l ⬝ b :=
begin
fapply equiv.MK,
{ exact eq_of_square},
{ exact square_of_eq},
{ intro s, induction b, esimp [concat] at s, induction s, induction r, induction t, apply idp},
{ intro s, induction s, apply idp},
end
definition hdeg_square_equiv' [constructor] (p q : a = a') : square idp idp p q ≃ p = q :=
by transitivity _;apply square_equiv_eq;transitivity _;apply eq_equiv_eq_symm;
apply equiv_eq_closed_right;apply idp_con
definition vdeg_square_equiv' [constructor] (p q : a = a') : square p q idp idp ≃ p = q :=
by transitivity _;apply square_equiv_eq;apply equiv_eq_closed_right; apply idp_con
definition eq_of_hdeg_square [reducible] {p q : a = a'} (s : square idp idp p q) : p = q :=
to_fun !hdeg_square_equiv' s
definition eq_of_vdeg_square [reducible] {p q : a = a'} (s : square p q idp idp) : p = q :=
to_fun !vdeg_square_equiv' s
definition top_deg_square (l : a₁ = a₂) (b : a₂ = a₃) (r : a₄ = a₃)
: square (l ⬝ b ⬝ r⁻¹) b l r :=
by induction r;induction b;induction l;constructor
definition bot_deg_square (l : a₁ = a₂) (t : a₁ = a₃) (r : a₃ = a₄)
: square t (l⁻¹ ⬝ t ⬝ r) l r :=
by induction r;induction t;induction l;constructor
/-
the following two equivalences have as underlying inverse function the functions
hdeg_square and vdeg_square, respectively.
See example below the definition
-/
definition hdeg_square_equiv [constructor] (p q : a = a') : square idp idp p q ≃ p = q :=
begin
fapply equiv_change_fun,
{ fapply equiv_change_inv, apply hdeg_square_equiv', exact hdeg_square,
intro s, induction s, induction p, reflexivity},
{ exact eq_of_hdeg_square},
{ reflexivity}
end
definition vdeg_square_equiv [constructor] (p q : a = a') : square p q idp idp ≃ p = q :=
begin
fapply equiv_change_fun,
{ fapply equiv_change_inv, apply vdeg_square_equiv',exact vdeg_square,
intro s, induction s, induction p, reflexivity},
{ exact eq_of_vdeg_square},
{ reflexivity}
end
example (p q : a = a') : to_inv (hdeg_square_equiv p q) = hdeg_square := idp
/-
characterization of pathovers in a equality type. The type B of the equality is fixed here.
A version where B may also varies over the path p is given in the file squareover
-/
definition eq_pathover [unfold 7] {f g : A → B} {p : a = a'} {q : f a = g a} {r : f a' = g a'}
(s : square q r (ap f p) (ap g p)) : q =[p] r :=
by induction p;apply pathover_idp_of_eq;exact eq_of_vdeg_square s
definition square_of_pathover [unfold 7]
{f g : A → B} {p : a = a'} {q : f a = g a} {r : f a' = g a'}
(s : q =[p] r) : square q r (ap f p) (ap g p) :=
by induction p;apply vdeg_square;exact eq_of_pathover_idp s
/- interaction of equivalences with operations on squares -/
definition eq_pathover_equiv_square [constructor] {f g : A → B}
(p : a = a') (q : f a = g a) (r : f a' = g a') : q =[p] r ≃ square q r (ap f p) (ap g p) :=
equiv.MK square_of_pathover
eq_pathover
begin
intro s, induction p, esimp [square_of_pathover,eq_pathover],
exact ap vdeg_square (to_right_inv !pathover_idp (eq_of_vdeg_square s))
⬝ to_left_inv !vdeg_square_equiv s
end
begin
intro s, induction p, esimp [square_of_pathover,eq_pathover],
exact ap pathover_idp_of_eq (to_right_inv !vdeg_square_equiv (eq_of_pathover_idp s))
⬝ to_left_inv !pathover_idp s
end
definition square_of_pathover_eq_concato {f g : A → B} {p : a = a'} {q q' : f a = g a}
{r : f a' = g a'} (s' : q = q') (s : q' =[p] r)
: square_of_pathover (s' ⬝po s) = s' ⬝pv square_of_pathover s :=
by induction s;induction s';reflexivity
definition square_of_pathover_concato_eq {f g : A → B} {p : a = a'} {q : f a = g a}
{r r' : f a' = g a'} (s' : r = r') (s : q =[p] r)
: square_of_pathover (s ⬝op s') = square_of_pathover s ⬝vp s' :=
by induction s;induction s';reflexivity
definition square_of_pathover_concato {f g : A → B} {p : a = a'} {p' : a' = a''} {q : f a = g a}
{q' : f a' = g a'} {q'' : f a'' = g a''} (s : q =[p] q') (s' : q' =[p'] q'')
: square_of_pathover (s ⬝o s')
= ap_con f p p' ⬝ph (square_of_pathover s ⬝v square_of_pathover s') ⬝hp (ap_con g p p')⁻¹ :=
by induction s';induction s;esimp [ap_con,hconcat_eq];exact !vconcat_vrfl⁻¹
definition eq_of_square_hrfl [unfold 4] (p : a = a') : eq_of_square hrfl = idp_con p :=
by induction p;reflexivity
definition eq_of_square_vrfl [unfold 4] (p : a = a') : eq_of_square vrfl = (idp_con p)⁻¹ :=
by induction p;reflexivity
definition eq_of_square_hdeg_square {p q : a = a'} (r : p = q)
: eq_of_square (hdeg_square r) = !idp_con ⬝ r⁻¹ :=
by induction r;induction p;reflexivity
definition eq_of_square_vdeg_square {p q : a = a'} (r : p = q)
: eq_of_square (vdeg_square r) = r ⬝ !idp_con⁻¹ :=
by induction r;induction p;reflexivity
definition eq_of_square_eq_vconcat {p : a₀₀ = a₂₀} (r : p = p₁₀) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: eq_of_square (r ⬝pv s₁₁) = whisker_right r p₂₁ ⬝ eq_of_square s₁₁ :=
by induction s₁₁;cases r;reflexivity
definition eq_of_square_eq_hconcat {p : a₀₀ = a₀₂} (r : p = p₀₁) (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
: eq_of_square (r ⬝ph s₁₁) = eq_of_square s₁₁ ⬝ (whisker_right r p₁₂)⁻¹ :=
by induction r;reflexivity
definition eq_of_square_vconcat_eq {p : a₀₂ = a₂₂} (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (r : p₁₂ = p)
: eq_of_square (s₁₁ ⬝vp r) = eq_of_square s₁₁ ⬝ whisker_left p₀₁ r :=
by induction r;reflexivity
definition eq_of_square_hconcat_eq {p : a₂₀ = a₂₂} (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (r : p₂₁ = p)
: eq_of_square (s₁₁ ⬝hp r) = (whisker_left p₁₀ r)⁻¹ ⬝ eq_of_square s₁₁ :=
by induction s₁₁; induction r;reflexivity
-- definition vconcat_eq [unfold 11] {p : a₀₂ = a₂₂} (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (r : p₁₂ = p) :
-- square p₁₀ p p₀₁ p₂₁ :=
-- by induction r; exact s₁₁
-- definition eq_hconcat [unfold 11] {p : a₀₀ = a₀₂} (r : p = p₀₁)
-- (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) : square p₁₀ p₁₂ p p₂₁ :=
-- by induction r; exact s₁₁
-- definition hconcat_eq [unfold 11] {p : a₂₀ = a₂₂}
-- (s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁) (r : p₂₁ = p) : square p₁₀ p₁₂ p₀₁ p :=
-- by induction r; exact s₁₁
-- the following definition is very slow, maybe it's interesting to see why?
-- definition eq_pathover_equiv_square' {f g : A → B}(p : a = a') (q : f a = g a) (r : f a' = g a')
-- : square q r (ap f p) (ap g p) ≃ q =[p] r :=
-- equiv.MK eq_pathover
-- square_of_pathover
-- (λs, begin
-- induction p, rewrite [↑[square_of_pathover,eq_pathover],
-- to_right_inv !vdeg_square_equiv (eq_of_pathover_idp s),
-- to_left_inv !pathover_idp s]
-- end)
-- (λs, begin
-- induction p, rewrite [↑[square_of_pathover,eq_pathover],▸*,
-- to_right_inv !(@pathover_idp A) (eq_of_vdeg_square s),
-- to_left_inv !vdeg_square_equiv s]
-- end)
/- recursors for squares where some sides are reflexivity -/
definition rec_on_b [recursor] {a₀₀ : A}
{P : Π{a₂₀ a₁₂ : A} {t : a₀₀ = a₂₀} {l : a₀₀ = a₁₂} {r : a₂₀ = a₁₂}, square t idp l r → Type}
{a₂₀ a₁₂ : A} {t : a₀₀ = a₂₀} {l : a₀₀ = a₁₂} {r : a₂₀ = a₁₂}
(s : square t idp l r) (H : P ids) : P s :=
have H2 : P (square_of_eq (eq_of_square s)),
from eq.rec_on (eq_of_square s : t ⬝ r = l) (by induction r; induction t; exact H),
left_inv (to_fun !square_equiv_eq) s ▸ H2
definition rec_on_r [recursor] {a₀₀ : A}
{P : Π{a₀₂ a₂₁ : A} {t : a₀₀ = a₂₁} {b : a₀₂ = a₂₁} {l : a₀₀ = a₀₂}, square t b l idp → Type}
{a₀₂ a₂₁ : A} {t : a₀₀ = a₂₁} {b : a₀₂ = a₂₁} {l : a₀₀ = a₀₂}
(s : square t b l idp) (H : P ids) : P s :=
let p : l ⬝ b = t := (eq_of_square s)⁻¹ in
have H2 : P (square_of_eq (eq_of_square s)⁻¹⁻¹),
from @eq.rec_on _ _ (λx p, P (square_of_eq p⁻¹)) _ p (by induction b; induction l; exact H),
left_inv (to_fun !square_equiv_eq) s ▸ !inv_inv ▸ H2
definition rec_on_l [recursor] {a₀₁ : A}
{P : Π {a₂₀ a₂₂ : A} {t : a₀₁ = a₂₀} {b : a₀₁ = a₂₂} {r : a₂₀ = a₂₂},
square t b idp r → Type}
{a₂₀ a₂₂ : A} {t : a₀₁ = a₂₀} {b : a₀₁ = a₂₂} {r : a₂₀ = a₂₂}
(s : square t b idp r) (H : P ids) : P s :=
let p : t ⬝ r = b := eq_of_square s ⬝ !idp_con in
have H2 : P (square_of_eq (p ⬝ !idp_con⁻¹)),
from eq.rec_on p (by induction r; induction t; exact H),
left_inv (to_fun !square_equiv_eq) s ▸ !con_inv_cancel_right ▸ H2
definition rec_on_t [recursor] {a₁₀ : A}
{P : Π {a₀₂ a₂₂ : A} {b : a₀₂ = a₂₂} {l : a₁₀ = a₀₂} {r : a₁₀ = a₂₂}, square idp b l r → Type}
{a₀₂ a₂₂ : A} {b : a₀₂ = a₂₂} {l : a₁₀ = a₀₂} {r : a₁₀ = a₂₂}
(s : square idp b l r) (H : P ids) : P s :=
let p : l ⬝ b = r := (eq_of_square s)⁻¹ ⬝ !idp_con in
assert H2 : P (square_of_eq ((p ⬝ !idp_con⁻¹)⁻¹)),
from eq.rec_on p (by induction b; induction l; exact H),
assert H3 : P (square_of_eq ((eq_of_square s)⁻¹⁻¹)),
from eq.rec_on !con_inv_cancel_right H2,
assert H4 : P (square_of_eq (eq_of_square s)),
from eq.rec_on !inv_inv H3,
proof
left_inv (to_fun !square_equiv_eq) s ▸ H4
qed
definition rec_on_tb [recursor] {a : A}
{P : Π{b : A} {l : a = b} {r : a = b}, square idp idp l r → Type}
{b : A} {l : a = b} {r : a = b}
(s : square idp idp l r) (H : P ids) : P s :=
have H2 : P (square_of_eq (eq_of_square s)),
from eq.rec_on (eq_of_square s : idp ⬝ r = l) (by induction r; exact H),
left_inv (to_fun !square_equiv_eq) s ▸ H2
definition rec_on_lr [recursor] {a : A}
{P : Π{a' : A} {t : a = a'} {b : a = a'}, square t b idp idp → Type}
{a' : A} {t : a = a'} {b : a = a'}
(s : square t b idp idp) (H : P ids) : P s :=
let p : idp ⬝ b = t := (eq_of_square s)⁻¹ in
assert H2 : P (square_of_eq (eq_of_square s)⁻¹⁻¹),
from @eq.rec_on _ _ (λx q, P (square_of_eq q⁻¹)) _ p (by induction b; exact H),
to_left_inv (!square_equiv_eq) s ▸ !inv_inv ▸ H2
--we can also do the other recursors (tl, tr, bl, br, tbl, tbr, tlr, blr), but let's postpone this until they are needed
definition whisker_square [unfold 14 15 16 17] (r₁₀ : p₁₀ = p₁₀') (r₁₂ : p₁₂ = p₁₂')
(r₀₁ : p₀₁ = p₀₁') (r₂₁ : p₂₁ = p₂₁') (s : square p₁₀ p₁₂ p₀₁ p₂₁)
: square p₁₀' p₁₂' p₀₁' p₂₁' :=
by induction r₁₀; induction r₁₂; induction r₀₁; induction r₂₁; exact s
/- squares commute with some operations on 2-paths -/
definition square_inv2 {p₁ p₂ p₃ p₄ : a = a'}
{t : p₁ = p₂} {b : p₃ = p₄} {l : p₁ = p₃} {r : p₂ = p₄} (s : square t b l r)
: square (inverse2 t) (inverse2 b) (inverse2 l) (inverse2 r) :=
by induction s;constructor
definition square_con2 {p₁ p₂ p₃ p₄ : a₁ = a₂} {q₁ q₂ q₃ q₄ : a₂ = a₃}
{t₁ : p₁ = p₂} {b₁ : p₃ = p₄} {l₁ : p₁ = p₃} {r₁ : p₂ = p₄}
{t₂ : q₁ = q₂} {b₂ : q₃ = q₄} {l₂ : q₁ = q₃} {r₂ : q₂ = q₄}
(s₁ : square t₁ b₁ l₁ r₁) (s₂ : square t₂ b₂ l₂ r₂)
: square (t₁ ◾ t₂) (b₁ ◾ b₂) (l₁ ◾ l₂) (r₁ ◾ r₂) :=
by induction s₂;induction s₁;constructor
open is_trunc
definition is_hset.elims [H : is_hset A] : square p₁₀ p₁₂ p₀₁ p₂₁ :=
square_of_eq !is_hset.elim
-- definition square_of_con_inv_hsquare {p₁ p₂ p₃ p₄ : a₁ = a₂}
-- {t : p₁ = p₂} {b : p₃ = p₄} {l : p₁ = p₃} {r : p₂ = p₄}
-- (s : square (con_inv_eq_idp t) (con_inv_eq_idp b) (l ◾ r⁻²) idp)
-- : square t b l r :=
-- sorry --by induction s
end eq
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d9d463c64f609a57a2426922e04211a12a4e6f69 | 6df8d5ae3acf20ad0d7f0247d2cee1957ef96df1 | /HW/hw7_bool_sat/hw7_sat.lean | 7d53ba5be98f62ace04043f41a23ff38a16cd08d | [] | no_license | derekjohnsonva/CS2102 | 8ed45daa6658e6121bac0f6691eac6147d08246d | b3f507d4be824a2511838a1054d04fc9aef3304c | refs/heads/master | 1,648,529,162,527 | 1,578,851,859,000 | 1,578,851,859,000 | 233,433,207 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,868 | lean | /-
Derek Johnson dej3tc
11/1/2019
-/
import .prop_logic
import .bool_sat
open prop_logic
open prop_logic.var
open prop_logic.pExp
/-
An example: The 0th, 1st, and
2nd bits from the right in 100,
the binary numeral for decimal
4, are 0, 0, and 1, respectively.
-/
#eval mth_bit_from_right_in_n 2 4
/-
#1. Write and evaluate expressions
(using eval) to determine what is
the bit in the 9th position from
the right in the binary expansion
of the decimal number 8485672345?
Hint: don't use reduce here. Eval
uses hardware (machine) int values
to represent nats, while reduce
uses the unary nat representation.
Self-test: How much memory might
it take to represent the decimal
number, 8485672345, as a ℕ value
in unary?
-/
#eval mth_bit_from_right_in_n 9 8485672345
/-
The next section presents examples
to set up test cases for definitions
to follow.
-/
/-
We define a few variables to use
in the rest of this assignment.
-/
def P : pExp:= varExp (mkVar 0)
def Q: pExp := varExp (mkVar 1)
def R : pExp := varExp (mkVar 2)
/-
We set parameter values used in
some function definitions to follow.
-/
def max_var_index := 2
def num_vars := max_var_index + 1
/-
An example of a propositional logic
expression.
-/
def theExpr : pExp := (P ⇒ (P ∧ R))
/-
An example using the truth_table_results
function to compute and return a list of
the truth values of theExpr under each of
its possible interpretations.
-/
#eval truth_table_results theExpr num_vars
/-
#2. Define interp5 to be the interpretation
in the six row (m=5) of the truth table that
our interps_for_n_vars functions returns for
our three variables (P, Q, and R).
Hint: use the mth_interp_n_vars function.
Definitely check out the definition of the
function, and any specification text, even
if informal, given with the formal definition.
-/
def interp5 := mth_interp_n_vars 5 3
/-
#3. What Boolean values are assigned to
P, Q, and R by this interpretation (interp5)?
Use three #eval commands to compute answers by
evaluating each variable expressions under the
interp5 interpretation.
-/
#eval pEval P interp5
#eval pEval Q interp5
#eval pEval R interp5
#eval pEval R (mth_interp_n_vars 7 3)
/-
#4. Write a truth table within this
comment block showing the values for
P, Q, and R, in each row in the truth
table, represented by a corresponding
valule in the list of interpretations
returned by interps_for_n_vars. Label
your columns as R, Q, and P, in that
order. (Try to understand why.)
Hint: Don't just write what you think
the answers are:, evaluate each of
the three variable expression under
each interpretation. You can use the
mth_interp_n_vars function if you want
to obtain interpretation functions for
each of the rows individually if you
want.
Answer:
R Q P
- - -
f f f
f f t
f t f
f t t
t f f
t f t
t t f
t t t
-/
/-
#5. Write an expression here to
compute the "results" column of
the truth table for "theExpr" as
defined above.
-/
#eval truth_table_results theExpr 2
/-
#6. Copy and paste the truth table
from question #4 here and extend it
with the results you just obtained.
Check the results for correctness.
Answer here:
R Q P Out
- - - -
f f f t
f f t t
f t f t
f t t t
t f f f
t f t t
t t f f
t t t t
-/
/-
#7.
Write a "predicate" function, isModel,
that takes a propositional logic
expression, e, and an interpretation,
i, as its arguments and that returns
the Boolean true (tt) value if and only
if i is a model of e (otherwise false).
-/
def isModel :pExp → (var → bool) → bool
| e i := if(pEval e i)
then tt
else ff
#eval mth_interp_n_vars 3 2( mkVar 0)
#eval isModel P (mth_interp_n_vars 3 2)
/-
#7. Write a one-line implementation
of a function, is_valid, that takes as
its arguments a propositional expression,
e, and the number of variables, n, in its
truth table, and that returns true if and
only if it is valid, construed to mean
tha every result in the list returned by
the truth_table_results function is true.
To do so, define and use a fold function
to reduce returned lists of Boolean truth
values to single truth values. Define and
use a bool-specific function, fold_bool :
(bool → bool → bool) →
bool →
(list bool) →
bool,
where the arguments are, respectively,
a binary operator, an identity element
for that operator, and a list of bools
to be reduced to a single bool result.
-/
open list
def fold_bool :
(bool → bool → bool) → bool → (list bool) → bool
| i val nil := val
| i val (cons h t) :=
i h (fold_bool i val t)
def is_valid : pExp → ℕ → bool
| p n := fold_bool band tt (truth_table_results p n)
/-
Write similar one-line implementations of the
functions, is_satisfiable and is_unsatisfiable,
respectively. Do not use fold (directly) in your
implementation of is_unsatisfiable.
-/
def is_satisfiable : pExp → ℕ → bool
| p n := fold_bool bor ff (truth_table_results p n)
def is_unsatisfiable : pExp → ℕ → bool
| p n := if (is_satisfiable p n) then ff else tt
/-
8. Use your is_valid function to determine which
of the following putative valid laws of reasoning
really are valid, and which ones are not. For each
one that is not, give a real-world scenario that
shows that the rule doesn't always lead to a valid
deduction. Use #eval to evaluate the validity of
each proposition. Use -- to put a comment after
each of the following definitions indicating
either "-- valid" or "-- NOT valid".
-/
def true_intro : pExp := pFalse -- Valid
def false_elim := pFalse ⇒ P -- valid
def and_intro := P ⇒ Q ⇒ (P ∧ Q) --valid
def and_elim_left := (P ∧ Q) ⇒ P --valid
def and_elim_right := (P ∧ Q) ⇒ Q --valid
def or_intro_left := P ⇒ (P ∨ Q) --valid
def or_intro_right := Q ⇒ (P ∨ Q) -- valid
def or_elim := (P ∨ Q) ⇒ (P ⇒ R) ⇒ (Q ⇒ R) ⇒ R -- valid
def iff_intro := (P ⇒ Q) ⇒ (Q ⇒ P) ⇒ (P ↔ Q) -- valid
def iff_elim_left := (P ↔ Q) ⇒ (P ⇒ Q) -- valid
def iff_elim_right := (P ↔ Q) ⇒ (Q ⇒ P) -- valid
def arrow_elim := (P ⇒ Q) ⇒ P ⇒ Q -- valid
def affirm_consequence := (P ⇒ Q) ⇒ Q ⇒ P --not valid Q=ff P=tt
-- if it is raining then it is wet. Then, if it is wet then it is raining
def resolution := (P ∨ Q) ⇒ (¬ Q ∨ R) ⇒ (P ∨ R) -- valid
def unit_resolution := (P ∨ Q) ⇒ (¬ Q) ⇒ P -- valid
def syllogism := (P ⇒ Q) ⇒ (Q ⇒ R) ⇒ (P ⇒ R) -- valid
def modus_tollens := (P ⇒ Q) ⇒ ¬ Q ⇒ ¬ P -- valid
def neg_elim := ¬ ¬ P ⇒ P -- valid
def excluded_middle := P ∨ ¬ P -- valid
def neg_intro := (P ⇒ pFalse) ⇒ ¬ P -- valid
def affirm_disjunct := (P ∨ Q) ⇒ P ⇒ ¬ Q --Not Valid Q==ff P==ff
-- if it is raining and it is wet, then if it is raining then it is not wet.
def deny_antecedent := (P ⇒ Q) ⇒ (¬ P ⇒ ¬ Q) --Not Valid Q==ff P==ff
-- if it is raining then it is wet. Therefore, if it is not raining it implies it is not wet
-- Answer below
#eval is_valid true_intro 1
#eval is_valid false_elim 1
#eval is_valid and_elim_left 2
#eval is_valid and_elim_right 2
#eval is_valid and_intro 2
#eval is_valid or_intro_left 2
#eval is_valid or_intro_right 2
#eval is_valid or_elim 3
#eval is_valid iff_intro 2
#eval is_valid iff_elim_left 2
#eval is_valid iff_elim_right 2
#eval is_valid arrow_elim 2
#eval is_valid affirm_consequence 2
#eval is_valid resolution 3
#eval is_valid unit_resolution 2
#eval is_valid syllogism 3
#eval is_valid modus_tollens 2
#eval is_valid neg_elim 1
#eval is_valid excluded_middle 1
#eval is_valid neg_intro 1
#eval is_valid affirm_disjunct 2
#eval is_valid deny_antecedent 2 |
a42a416799cb8e9474c54bc1dca97b3b801c44e4 | 8d65764a9e5f0923a67fc435eb1a5a1d02fd80e3 | /src/topology/basic.lean | 8bf9cc5c754871b3643108855631e65441f6d1ef | [
"Apache-2.0"
] | permissive | troyjlee/mathlib | e18d4b8026e32062ab9e89bc3b003a5d1cfec3f5 | 45e7eb8447555247246e3fe91c87066506c14875 | refs/heads/master | 1,689,248,035,046 | 1,629,470,528,000 | 1,629,470,528,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 59,482 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Jeremy Avigad
-/
import order.filter.ultrafilter
import order.filter.partial
import algebra.support
/-!
# Basic theory of topological spaces.
The main definition is the type class `topological space α` which endows a type `α` with a topology.
Then `set α` gets predicates `is_open`, `is_closed` and functions `interior`, `closure` and
`frontier`. Each point `x` of `α` gets a neighborhood filter `𝓝 x`. A filter `F` on `α` has
`x` as a cluster point if `cluster_pt x F : 𝓝 x ⊓ F ≠ ⊥`. A map `f : ι → α` clusters at `x`
along `F : filter ι` if `map_cluster_pt x F f : cluster_pt x (map f F)`. In particular
the notion of cluster point of a sequence `u` is `map_cluster_pt x at_top u`.
This file also defines locally finite families of subsets of `α`.
For topological spaces `α` and `β`, a function `f : α → β` and a point `a : α`,
`continuous_at f a` means `f` is continuous at `a`, and global continuity is
`continuous f`. There is also a version of continuity `pcontinuous` for
partially defined functions.
## Notation
* `𝓝 x`: the filter of neighborhoods of a point `x`;
* `𝓟 s`: the principal filter of a set `s`;
* `𝓝[s] x`: the filter `nhds_within x s` of neighborhoods of a point `x` within a set `s`.
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
<https://leanprover-community.github.io/theories/topology.html>.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space, interior, closure, frontier, neighborhood, continuity, continuous function
-/
noncomputable theory
open set filter classical
open_locale classical filter
universes u v w
/-!
### Topological spaces
-/
/-- A topology on `α`. -/
@[protect_proj] structure topological_space (α : Type u) :=
(is_open : set α → Prop)
(is_open_univ : is_open univ)
(is_open_inter : ∀s t, is_open s → is_open t → is_open (s ∩ t))
(is_open_sUnion : ∀s, (∀t∈s, is_open t) → is_open (⋃₀ s))
attribute [class] topological_space
/-- A constructor for topologies by specifying the closed sets,
and showing that they satisfy the appropriate conditions. -/
def topological_space.of_closed {α : Type u} (T : set (set α))
(empty_mem : ∅ ∈ T) (sInter_mem : ∀ A ⊆ T, ⋂₀ A ∈ T) (union_mem : ∀ A B ∈ T, A ∪ B ∈ T) :
topological_space α :=
{ is_open := λ X, Xᶜ ∈ T,
is_open_univ := by simp [empty_mem],
is_open_inter := λ s t hs ht, by simpa [set.compl_inter] using union_mem sᶜ tᶜ hs ht,
is_open_sUnion := λ s hs,
by rw set.compl_sUnion; exact sInter_mem (set.compl '' s)
(λ z ⟨y, hy, hz⟩, by simpa [hz.symm] using hs y hy) }
section topological_space
variables {α : Type u} {β : Type v} {ι : Sort w} {a : α} {s s₁ s₂ : set α} {p p₁ p₂ : α → Prop}
@[ext]
lemma topological_space_eq : ∀ {f g : topological_space α}, f.is_open = g.is_open → f = g
| ⟨a, _, _, _⟩ ⟨b, _, _, _⟩ rfl := rfl
section
variables [t : topological_space α]
include t
/-- `is_open s` means that `s` is open in the ambient topological space on `α` -/
def is_open (s : set α) : Prop := topological_space.is_open t s
@[simp]
lemma is_open_univ : is_open (univ : set α) := topological_space.is_open_univ t
lemma is_open.inter (h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∩ s₂) :=
topological_space.is_open_inter t s₁ s₂ h₁ h₂
lemma is_open_sUnion {s : set (set α)} (h : ∀t ∈ s, is_open t) : is_open (⋃₀ s) :=
topological_space.is_open_sUnion t s h
end
lemma topological_space_eq_iff {t t' : topological_space α} :
t = t' ↔ ∀ s, @is_open α t s ↔ @is_open α t' s :=
⟨λ h s, h ▸ iff.rfl, λ h, by { ext, exact h _ }⟩
lemma is_open_fold {s : set α} {t : topological_space α} : t.is_open s = @is_open α t s :=
rfl
variables [topological_space α]
lemma is_open_Union {f : ι → set α} (h : ∀i, is_open (f i)) : is_open (⋃i, f i) :=
is_open_sUnion $ by rintro _ ⟨i, rfl⟩; exact h i
lemma is_open_bUnion {s : set β} {f : β → set α} (h : ∀i∈s, is_open (f i)) :
is_open (⋃i∈s, f i) :=
is_open_Union $ assume i, is_open_Union $ assume hi, h i hi
lemma is_open.union (h₁ : is_open s₁) (h₂ : is_open s₂) : is_open (s₁ ∪ s₂) :=
by rw union_eq_Union; exact is_open_Union (bool.forall_bool.2 ⟨h₂, h₁⟩)
@[simp] lemma is_open_empty : is_open (∅ : set α) :=
by rw ← sUnion_empty; exact is_open_sUnion (assume a, false.elim)
lemma is_open_sInter {s : set (set α)} (hs : finite s) : (∀t ∈ s, is_open t) → is_open (⋂₀ s) :=
finite.induction_on hs (λ _, by rw sInter_empty; exact is_open_univ) $
λ a s has hs ih h, by rw sInter_insert; exact
is_open.inter (h _ $ mem_insert _ _) (ih $ λ t, h t ∘ mem_insert_of_mem _)
lemma is_open_bInter {s : set β} {f : β → set α} (hs : finite s) :
(∀i∈s, is_open (f i)) → is_open (⋂i∈s, f i) :=
finite.induction_on hs
(λ _, by rw bInter_empty; exact is_open_univ)
(λ a s has hs ih h, by rw bInter_insert; exact
is_open.inter (h a (mem_insert _ _)) (ih (λ i hi, h i (mem_insert_of_mem _ hi))))
lemma is_open_Inter [fintype β] {s : β → set α}
(h : ∀ i, is_open (s i)) : is_open (⋂ i, s i) :=
suffices is_open (⋂ (i : β) (hi : i ∈ @univ β), s i), by simpa,
is_open_bInter finite_univ (λ i _, h i)
lemma is_open_Inter_prop {p : Prop} {s : p → set α}
(h : ∀ h : p, is_open (s h)) : is_open (Inter s) :=
by by_cases p; simp *
lemma is_open_const {p : Prop} : is_open {a : α | p} :=
by_cases
(assume : p, begin simp only [this]; exact is_open_univ end)
(assume : ¬ p, begin simp only [this]; exact is_open_empty end)
lemma is_open.and : is_open {a | p₁ a} → is_open {a | p₂ a} → is_open {a | p₁ a ∧ p₂ a} :=
is_open.inter
/-- A set is closed if its complement is open -/
class is_closed (s : set α) : Prop :=
(is_open_compl : is_open sᶜ)
@[simp] lemma is_open_compl_iff {s : set α} : is_open sᶜ ↔ is_closed s :=
⟨λ h, ⟨h⟩, λ h, h.is_open_compl⟩
@[simp] lemma is_closed_empty : is_closed (∅ : set α) :=
by { rw [← is_open_compl_iff, compl_empty], exact is_open_univ }
@[simp] lemma is_closed_univ : is_closed (univ : set α) :=
by { rw [← is_open_compl_iff, compl_univ], exact is_open_empty }
lemma is_closed.union : is_closed s₁ → is_closed s₂ → is_closed (s₁ ∪ s₂) :=
λ h₁ h₂, by { rw [← is_open_compl_iff] at *, rw compl_union, exact is_open.inter h₁ h₂ }
lemma is_closed_sInter {s : set (set α)} : (∀t ∈ s, is_closed t) → is_closed (⋂₀ s) :=
by simpa only [← is_open_compl_iff, compl_sInter, sUnion_image] using is_open_bUnion
lemma is_closed_Inter {f : ι → set α} (h : ∀i, is_closed (f i)) : is_closed (⋂i, f i ) :=
is_closed_sInter $ assume t ⟨i, (heq : f i = t)⟩, heq ▸ h i
lemma is_closed_bInter {s : set β} {f : β → set α} (h : ∀ i ∈ s, is_closed (f i)) :
is_closed (⋂ i ∈ s, f i) :=
is_closed_Inter $ λ i, is_closed_Inter $ h i
@[simp] lemma is_closed_compl_iff {s : set α} : is_closed sᶜ ↔ is_open s :=
by rw [←is_open_compl_iff, compl_compl]
lemma is_open.is_closed_compl {s : set α} (hs : is_open s) : is_closed sᶜ :=
is_closed_compl_iff.2 hs
lemma is_open.sdiff {s t : set α} (h₁ : is_open s) (h₂ : is_closed t) : is_open (s \ t) :=
is_open.inter h₁ $ is_open_compl_iff.mpr h₂
lemma is_closed.inter (h₁ : is_closed s₁) (h₂ : is_closed s₂) : is_closed (s₁ ∩ s₂) :=
by { rw [← is_open_compl_iff] at *, rw compl_inter, exact is_open.union h₁ h₂ }
lemma is_closed.sdiff {s t : set α} (h₁ : is_closed s) (h₂ : is_open t) : is_closed (s \ t) :=
is_closed.inter h₁ (is_closed_compl_iff.mpr h₂)
lemma is_closed_bUnion {s : set β} {f : β → set α} (hs : finite s) :
(∀i∈s, is_closed (f i)) → is_closed (⋃i∈s, f i) :=
finite.induction_on hs
(λ _, by rw bUnion_empty; exact is_closed_empty)
(λ a s has hs ih h, by rw bUnion_insert; exact
is_closed.union (h a (mem_insert _ _)) (ih (λ i hi, h i (mem_insert_of_mem _ hi))))
lemma is_closed_Union [fintype β] {s : β → set α}
(h : ∀ i, is_closed (s i)) : is_closed (Union s) :=
suffices is_closed (⋃ (i : β) (hi : i ∈ @univ β), s i),
by convert this; simp [set.ext_iff],
is_closed_bUnion finite_univ (λ i _, h i)
lemma is_closed_Union_prop {p : Prop} {s : p → set α}
(h : ∀ h : p, is_closed (s h)) : is_closed (Union s) :=
by by_cases p; simp *
lemma is_closed_imp {p q : α → Prop} (hp : is_open {x | p x})
(hq : is_closed {x | q x}) : is_closed {x | p x → q x} :=
have {x | p x → q x} = {x | p x}ᶜ ∪ {x | q x}, from set.ext $ λ x, imp_iff_not_or,
by rw [this]; exact is_closed.union (is_closed_compl_iff.mpr hp) hq
lemma is_closed.not : is_closed {a | p a} → is_open {a | ¬ p a} :=
is_open_compl_iff.mpr
/-!
### Interior of a set
-/
/-- The interior of a set `s` is the largest open subset of `s`. -/
def interior (s : set α) : set α := ⋃₀ {t | is_open t ∧ t ⊆ s}
lemma mem_interior {s : set α} {x : α} :
x ∈ interior s ↔ ∃ t ⊆ s, is_open t ∧ x ∈ t :=
by simp only [interior, mem_set_of_eq, exists_prop, and_assoc, and.left_comm]
@[simp] lemma is_open_interior {s : set α} : is_open (interior s) :=
is_open_sUnion $ assume t ⟨h₁, h₂⟩, h₁
lemma interior_subset {s : set α} : interior s ⊆ s :=
sUnion_subset $ assume t ⟨h₁, h₂⟩, h₂
lemma interior_maximal {s t : set α} (h₁ : t ⊆ s) (h₂ : is_open t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
lemma is_open.interior_eq {s : set α} (h : is_open s) : interior s = s :=
subset.antisymm interior_subset (interior_maximal (subset.refl s) h)
lemma interior_eq_iff_open {s : set α} : interior s = s ↔ is_open s :=
⟨assume h, h ▸ is_open_interior, is_open.interior_eq⟩
lemma subset_interior_iff_open {s : set α} : s ⊆ interior s ↔ is_open s :=
by simp only [interior_eq_iff_open.symm, subset.antisymm_iff, interior_subset, true_and]
lemma subset_interior_iff_subset_of_open {s t : set α} (h₁ : is_open s) :
s ⊆ interior t ↔ s ⊆ t :=
⟨assume h, subset.trans h interior_subset, assume h₂, interior_maximal h₂ h₁⟩
lemma interior_mono {s t : set α} (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (subset.trans interior_subset h) is_open_interior
@[simp] lemma interior_empty : interior (∅ : set α) = ∅ :=
is_open_empty.interior_eq
@[simp] lemma interior_univ : interior (univ : set α) = univ :=
is_open_univ.interior_eq
@[simp] lemma interior_interior {s : set α} : interior (interior s) = interior s :=
is_open_interior.interior_eq
@[simp] lemma interior_inter {s t : set α} : interior (s ∩ t) = interior s ∩ interior t :=
subset.antisymm
(subset_inter (interior_mono $ inter_subset_left s t) (interior_mono $ inter_subset_right s t))
(interior_maximal (inter_subset_inter interior_subset interior_subset) $
is_open.inter is_open_interior is_open_interior)
lemma interior_union_is_closed_of_interior_empty {s t : set α} (h₁ : is_closed s)
(h₂ : interior t = ∅) :
interior (s ∪ t) = interior s :=
have interior (s ∪ t) ⊆ s, from
assume x ⟨u, ⟨(hu₁ : is_open u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩,
classical.by_contradiction $ assume hx₂ : x ∉ s,
have u \ s ⊆ t,
from assume x ⟨h₁, h₂⟩, or.resolve_left (hu₂ h₁) h₂,
have u \ s ⊆ interior t,
by rwa subset_interior_iff_subset_of_open (is_open.sdiff hu₁ h₁),
have u \ s ⊆ ∅,
by rwa h₂ at this,
this ⟨hx₁, hx₂⟩,
subset.antisymm
(interior_maximal this is_open_interior)
(interior_mono $ subset_union_left _ _)
lemma is_open_iff_forall_mem_open : is_open s ↔ ∀ x ∈ s, ∃ t ⊆ s, is_open t ∧ x ∈ t :=
by rw ← subset_interior_iff_open; simp only [subset_def, mem_interior]
/-!
### Closure of a set
-/
/-- The closure of `s` is the smallest closed set containing `s`. -/
def closure (s : set α) : set α := ⋂₀ {t | is_closed t ∧ s ⊆ t}
@[simp] lemma is_closed_closure {s : set α} : is_closed (closure s) :=
is_closed_sInter $ assume t ⟨h₁, h₂⟩, h₁
lemma subset_closure {s : set α} : s ⊆ closure s :=
subset_sInter $ assume t ⟨h₁, h₂⟩, h₂
lemma closure_minimal {s t : set α} (h₁ : s ⊆ t) (h₂ : is_closed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
lemma is_closed.closure_eq {s : set α} (h : is_closed s) : closure s = s :=
subset.antisymm (closure_minimal (subset.refl s) h) subset_closure
lemma is_closed.closure_subset {s : set α} (hs : is_closed s) : closure s ⊆ s :=
closure_minimal (subset.refl _) hs
lemma is_closed.closure_subset_iff {s t : set α} (h₁ : is_closed t) :
closure s ⊆ t ↔ s ⊆ t :=
⟨subset.trans subset_closure, assume h, closure_minimal h h₁⟩
@[mono] lemma closure_mono {s t : set α} (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (subset.trans h subset_closure) is_closed_closure
lemma monotone_closure (α : Type*) [topological_space α] : monotone (@closure α _) :=
λ _ _, closure_mono
lemma diff_subset_closure_iff {s t : set α} :
s \ t ⊆ closure t ↔ s ⊆ closure t :=
by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
lemma closure_inter_subset_inter_closure (s t : set α) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure α).map_inf_le s t
lemma is_closed_of_closure_subset {s : set α} (h : closure s ⊆ s) : is_closed s :=
by rw subset.antisymm subset_closure h; exact is_closed_closure
lemma closure_eq_iff_is_closed {s : set α} : closure s = s ↔ is_closed s :=
⟨assume h, h ▸ is_closed_closure, is_closed.closure_eq⟩
lemma closure_subset_iff_is_closed {s : set α} : closure s ⊆ s ↔ is_closed s :=
⟨is_closed_of_closure_subset, is_closed.closure_subset⟩
@[simp] lemma closure_empty : closure (∅ : set α) = ∅ :=
is_closed_empty.closure_eq
@[simp] lemma closure_empty_iff (s : set α) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, λ h, h.symm ▸ closure_empty⟩
@[simp] lemma closure_nonempty_iff {s : set α} : (closure s).nonempty ↔ s.nonempty :=
by simp only [← ne_empty_iff_nonempty, ne.def, closure_empty_iff]
alias closure_nonempty_iff ↔ set.nonempty.of_closure set.nonempty.closure
@[simp] lemma closure_univ : closure (univ : set α) = univ :=
is_closed_univ.closure_eq
@[simp] lemma closure_closure {s : set α} : closure (closure s) = closure s :=
is_closed_closure.closure_eq
@[simp] lemma closure_union {s t : set α} : closure (s ∪ t) = closure s ∪ closure t :=
subset.antisymm
(closure_minimal (union_subset_union subset_closure subset_closure) $
is_closed.union is_closed_closure is_closed_closure)
((monotone_closure α).le_map_sup s t)
lemma interior_subset_closure {s : set α} : interior s ⊆ closure s :=
subset.trans interior_subset subset_closure
lemma closure_eq_compl_interior_compl {s : set α} : closure s = (interior sᶜ)ᶜ :=
begin
rw [interior, closure, compl_sUnion, compl_image_set_of],
simp only [compl_subset_compl, is_open_compl_iff],
end
@[simp] lemma interior_compl {s : set α} : interior sᶜ = (closure s)ᶜ :=
by simp [closure_eq_compl_interior_compl]
@[simp] lemma closure_compl {s : set α} : closure sᶜ = (interior s)ᶜ :=
by simp [closure_eq_compl_interior_compl]
theorem mem_closure_iff {s : set α} {a : α} :
a ∈ closure s ↔ ∀ o, is_open o → a ∈ o → (o ∩ s).nonempty :=
⟨λ h o oo ao, classical.by_contradiction $ λ os,
have s ⊆ oᶜ, from λ x xs xo, os ⟨x, xo, xs⟩,
closure_minimal this (is_closed_compl_iff.2 oo) h ao,
λ H c ⟨h₁, h₂⟩, classical.by_contradiction $ λ nc,
let ⟨x, hc, hs⟩ := (H _ h₁.is_open_compl nc) in hc (h₂ hs)⟩
/-- A set is dense in a topological space if every point belongs to its closure. -/
def dense (s : set α) : Prop := ∀ x, x ∈ closure s
lemma dense_iff_closure_eq {s : set α} : dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
lemma dense.closure_eq {s : set α} (h : dense s) : closure s = univ :=
dense_iff_closure_eq.mp h
/-- The closure of a set `s` is dense if and only if `s` is dense. -/
@[simp] lemma dense_closure {s : set α} : dense (closure s) ↔ dense s :=
by rw [dense, dense, closure_closure]
alias dense_closure ↔ dense.of_closure dense.closure
@[simp] lemma dense_univ : dense (univ : set α) := λ x, subset_closure trivial
/-- A set is dense if and only if it has a nonempty intersection with each nonempty open set. -/
lemma dense_iff_inter_open {s : set α} :
dense s ↔ ∀ U, is_open U → U.nonempty → (U ∩ s).nonempty :=
begin
split ; intro h,
{ rintros U U_op ⟨x, x_in⟩,
exact mem_closure_iff.1 (by simp only [h.closure_eq]) U U_op x_in },
{ intro x,
rw mem_closure_iff,
intros U U_op x_in,
exact h U U_op ⟨_, x_in⟩ },
end
alias dense_iff_inter_open ↔ dense.inter_open_nonempty _
lemma dense.nonempty_iff {s : set α} (hs : dense s) :
s.nonempty ↔ nonempty α :=
⟨λ ⟨x, hx⟩, ⟨x⟩, λ ⟨x⟩,
let ⟨y, hy⟩ := hs.inter_open_nonempty _ is_open_univ ⟨x, trivial⟩ in ⟨y, hy.2⟩⟩
lemma dense.nonempty [h : nonempty α] {s : set α} (hs : dense s) : s.nonempty :=
hs.nonempty_iff.2 h
@[mono]
lemma dense.mono {s₁ s₂ : set α} (h : s₁ ⊆ s₂) (hd : dense s₁) : dense s₂ :=
λ x, closure_mono h (hd x)
/-- Complement to a singleton is dense if and only if the singleton is not an open set. -/
lemma dense_compl_singleton {x : α} : dense ({x}ᶜ : set α) ↔ ¬is_open ({x} : set α) :=
begin
fsplit,
{ intros hd ho,
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) },
{ refine λ ho, dense_iff_inter_open.2 (λ U hU hne, inter_compl_nonempty_iff.2 $ λ hUx, _),
obtain rfl : U = {x}, from eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩,
exact ho hU }
end
/-!
### Frontier of a set
-/
/-- The frontier of a set is the set of points between the closure and interior. -/
def frontier (s : set α) : set α := closure s \ interior s
lemma frontier_eq_closure_inter_closure {s : set α} :
frontier s = closure s ∩ closure sᶜ :=
by rw [closure_compl, frontier, diff_eq]
lemma frontier_subset_closure {s : set α} : frontier s ⊆ closure s := diff_subset _ _
/-- The complement of a set has the same frontier as the original set. -/
@[simp] lemma frontier_compl (s : set α) : frontier sᶜ = frontier s :=
by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
@[simp] lemma frontier_univ : frontier (univ : set α) = ∅ := by simp [frontier]
@[simp] lemma frontier_empty : frontier (∅ : set α) = ∅ := by simp [frontier]
lemma frontier_inter_subset (s t : set α) :
frontier (s ∩ t) ⊆ (frontier s ∩ closure t) ∪ (closure s ∩ frontier t) :=
begin
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union],
convert inter_subset_inter_left _ (closure_inter_subset_inter_closure s t),
simp only [inter_distrib_left, inter_distrib_right, inter_assoc],
congr' 2,
apply inter_comm
end
lemma frontier_union_subset (s t : set α) :
frontier (s ∪ t) ⊆ (frontier s ∩ closure tᶜ) ∪ (closure sᶜ ∩ frontier t) :=
by simpa only [frontier_compl, ← compl_union]
using frontier_inter_subset sᶜ tᶜ
lemma is_closed.frontier_eq {s : set α} (hs : is_closed s) : frontier s = s \ interior s :=
by rw [frontier, hs.closure_eq]
lemma is_open.frontier_eq {s : set α} (hs : is_open s) : frontier s = closure s \ s :=
by rw [frontier, hs.interior_eq]
lemma is_open.inter_frontier_eq {s : set α} (hs : is_open s) : s ∩ frontier s = ∅ :=
by rw [hs.frontier_eq, inter_diff_self]
/-- The frontier of a set is closed. -/
lemma is_closed_frontier {s : set α} : is_closed (frontier s) :=
by rw frontier_eq_closure_inter_closure; exact is_closed.inter is_closed_closure is_closed_closure
/-- The frontier of a closed set has no interior point. -/
lemma interior_frontier {s : set α} (h : is_closed s) : interior (frontier s) = ∅ :=
begin
have A : frontier s = s \ interior s, from h.frontier_eq,
have B : interior (frontier s) ⊆ interior s, by rw A; exact interior_mono (diff_subset _ _),
have C : interior (frontier s) ⊆ frontier s := interior_subset,
have : interior (frontier s) ⊆ (interior s) ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C),
rwa [inter_diff_self, subset_empty_iff] at this,
end
lemma closure_eq_interior_union_frontier (s : set α) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
lemma closure_eq_self_union_frontier (s : set α) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
lemma is_open.inter_frontier_eq_empty_of_disjoint {s t : set α} (ht : is_open t)
(hd : disjoint s t) :
t ∩ frontier s = ∅ :=
begin
rw [inter_comm, ← subset_compl_iff_disjoint],
exact subset.trans frontier_subset_closure (closure_minimal (λ _, disjoint_left.1 hd)
(is_closed_compl_iff.2 ht))
end
lemma frontier_eq_inter_compl_interior {s : set α} :
frontier s = (interior s)ᶜ ∩ (interior (sᶜ))ᶜ :=
by { rw [←frontier_compl, ←closure_compl], refl }
lemma compl_frontier_eq_union_interior {s : set α} :
(frontier s)ᶜ = interior s ∪ interior sᶜ :=
begin
rw frontier_eq_inter_compl_interior,
simp only [compl_inter, compl_compl],
end
/-!
### Neighborhoods
-/
/-- A set is called a neighborhood of `a` if it contains an open set around `a`. The set of all
neighborhoods of `a` forms a filter, the neighborhood filter at `a`, is here defined as the
infimum over the principal filters of all open sets containing `a`. -/
@[irreducible] def nhds (a : α) : filter α := (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, 𝓟 s)
localized "notation `𝓝` := nhds" in topological_space
/-- The "neighborhood within" filter. Elements of `𝓝[s] a` are sets containing the
intersection of `s` and a neighborhood of `a`. -/
def nhds_within (a : α) (s : set α) : filter α := 𝓝 a ⊓ 𝓟 s
localized "notation `𝓝[` s `] ` x:100 := nhds_within x s" in topological_space
lemma nhds_def (a : α) : 𝓝 a = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, 𝓟 s) := by rw nhds
/-- The open sets containing `a` are a basis for the neighborhood filter. See `nhds_basis_opens'`
for a variant using open neighborhoods instead. -/
lemma nhds_basis_opens (a : α) : (𝓝 a).has_basis (λ s : set α, a ∈ s ∧ is_open s) (λ x, x) :=
begin
rw nhds_def,
exact has_basis_binfi_principal
(λ s ⟨has, hs⟩ t ⟨hat, ht⟩, ⟨s ∩ t, ⟨⟨has, hat⟩, is_open.inter hs ht⟩,
⟨inter_subset_left _ _, inter_subset_right _ _⟩⟩)
⟨univ, ⟨mem_univ a, is_open_univ⟩⟩
end
/-- A filter lies below the neighborhood filter at `a` iff it contains every open set around `a`. -/
lemma le_nhds_iff {f a} : f ≤ 𝓝 a ↔ ∀ s : set α, a ∈ s → is_open s → s ∈ f :=
by simp [nhds_def]
/-- To show a filter is above the neighborhood filter at `a`, it suffices to show that it is above
the principal filter of some open set `s` containing `a`. -/
lemma nhds_le_of_le {f a} {s : set α} (h : a ∈ s) (o : is_open s) (sf : 𝓟 s ≤ f) : 𝓝 a ≤ f :=
by rw nhds_def; exact infi_le_of_le s (infi_le_of_le ⟨h, o⟩ sf)
lemma mem_nhds_iff {a : α} {s : set α} :
s ∈ 𝓝 a ↔ ∃t⊆s, is_open t ∧ a ∈ t :=
(nhds_basis_opens a).mem_iff.trans
⟨λ ⟨t, ⟨hat, ht⟩, hts⟩, ⟨t, hts, ht, hat⟩, λ ⟨t, hts, ht, hat⟩, ⟨t, ⟨hat, ht⟩, hts⟩⟩
/-- A predicate is true in a neighborhood of `a` iff it is true for all the points in an open set
containing `a`. -/
lemma eventually_nhds_iff {a : α} {p : α → Prop} :
(∀ᶠ x in 𝓝 a, p x) ↔ ∃ (t : set α), (∀ x ∈ t, p x) ∧ is_open t ∧ a ∈ t :=
mem_nhds_iff.trans $ by simp only [subset_def, exists_prop, mem_set_of_eq]
lemma map_nhds {a : α} {f : α → β} :
map f (𝓝 a) = (⨅ s ∈ {s : set α | a ∈ s ∧ is_open s}, 𝓟 (image f s)) :=
((nhds_basis_opens a).map f).eq_binfi
lemma mem_of_mem_nhds {a : α} {s : set α} : s ∈ 𝓝 a → a ∈ s :=
λ H, let ⟨t, ht, _, hs⟩ := mem_nhds_iff.1 H in ht hs
/-- If a predicate is true in a neighborhood of `a`, then it is true for `a`. -/
lemma filter.eventually.self_of_nhds {p : α → Prop} {a : α}
(h : ∀ᶠ y in 𝓝 a, p y) : p a :=
mem_of_mem_nhds h
lemma is_open.mem_nhds {a : α} {s : set α} (hs : is_open s) (ha : a ∈ s) :
s ∈ 𝓝 a :=
mem_nhds_iff.2 ⟨s, subset.refl _, hs, ha⟩
lemma is_open.eventually_mem {a : α} {s : set α} (hs : is_open s) (ha : a ∈ s) :
∀ᶠ x in 𝓝 a, x ∈ s :=
is_open.mem_nhds hs ha
/-- The open neighborhoods of `a` are a basis for the neighborhood filter. See `nhds_basis_opens`
for a variant using open sets around `a` instead. -/
lemma nhds_basis_opens' (a : α) : (𝓝 a).has_basis (λ s : set α, s ∈ 𝓝 a ∧ is_open s) (λ x, x) :=
begin
convert nhds_basis_opens a,
ext s,
split,
{ rintros ⟨s_in, s_op⟩,
exact ⟨mem_of_mem_nhds s_in, s_op⟩ },
{ rintros ⟨a_in, s_op⟩,
exact ⟨is_open.mem_nhds s_op a_in, s_op⟩ },
end
/-- If `U` is a neighborhood of each point of a set `s` then it is a neighborhood of `s`:
it contains an open set containing `s`. -/
lemma exists_open_set_nhds {s U : set α} (h : ∀ x ∈ s, U ∈ 𝓝 x) :
∃ V : set α, s ⊆ V ∧ is_open V ∧ V ⊆ U :=
begin
have := λ x hx, (nhds_basis_opens x).mem_iff.1 (h x hx),
choose! Z hZ hZ' using this,
refine ⟨⋃ x ∈ s, Z x, _, _, bUnion_subset hZ'⟩,
{ intros x hx,
simp only [mem_Union],
exact ⟨x, hx, (hZ x hx).1⟩ },
{ apply is_open_Union,
intros x,
by_cases hx : x ∈ s ; simp [hx],
exact (hZ x hx).2 }
end
/-- If `U` is a neighborhood of each point of a set `s` then it is a neighborhood of s:
it contains an open set containing `s`. -/
lemma exists_open_set_nhds' {s U : set α} (h : U ∈ ⨆ x ∈ s, 𝓝 x) :
∃ V : set α, s ⊆ V ∧ is_open V ∧ V ⊆ U :=
exists_open_set_nhds (by simpa using h)
/-- If a predicate is true in a neighbourhood of `a`, then for `y` sufficiently close
to `a` this predicate is true in a neighbourhood of `y`. -/
lemma filter.eventually.eventually_nhds {p : α → Prop} {a : α} (h : ∀ᶠ y in 𝓝 a, p y) :
∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝 y, p x :=
let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h in
eventually_nhds_iff.2 ⟨t, λ x hx, eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩
@[simp] lemma eventually_eventually_nhds {p : α → Prop} {a : α} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 a, p x :=
⟨λ h, h.self_of_nhds, λ h, h.eventually_nhds⟩
@[simp] lemma nhds_bind_nhds : (𝓝 a).bind 𝓝 = 𝓝 a := filter.ext $ λ s, eventually_eventually_nhds
@[simp] lemma eventually_eventually_eq_nhds {f g : α → β} {a : α} :
(∀ᶠ y in 𝓝 a, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 a] g :=
eventually_eventually_nhds
lemma filter.eventually_eq.eq_of_nhds {f g : α → β} {a : α} (h : f =ᶠ[𝓝 a] g) : f a = g a :=
h.self_of_nhds
@[simp] lemma eventually_eventually_le_nhds [has_le β] {f g : α → β} {a : α} :
(∀ᶠ y in 𝓝 a, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 a] g :=
eventually_eventually_nhds
/-- If two functions are equal in a neighbourhood of `a`, then for `y` sufficiently close
to `a` these functions are equal in a neighbourhood of `y`. -/
lemma filter.eventually_eq.eventually_eq_nhds {f g : α → β} {a : α} (h : f =ᶠ[𝓝 a] g) :
∀ᶠ y in 𝓝 a, f =ᶠ[𝓝 y] g :=
h.eventually_nhds
/-- If `f x ≤ g x` in a neighbourhood of `a`, then for `y` sufficiently close to `a` we have
`f x ≤ g x` in a neighbourhood of `y`. -/
lemma filter.eventually_le.eventually_le_nhds [has_le β] {f g : α → β} {a : α} (h : f ≤ᶠ[𝓝 a] g) :
∀ᶠ y in 𝓝 a, f ≤ᶠ[𝓝 y] g :=
h.eventually_nhds
theorem all_mem_nhds (x : α) (P : set α → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ 𝓝 x, P s) ↔ (∀ s, is_open s → x ∈ s → P s) :=
((nhds_basis_opens x).forall_iff hP).trans $ by simp only [and_comm (x ∈ _), and_imp]
theorem all_mem_nhds_filter (x : α) (f : set α → set β) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : filter β) :
(∀ s ∈ 𝓝 x, f s ∈ l) ↔ (∀ s, is_open s → x ∈ s → f s ∈ l) :=
all_mem_nhds _ _ (λ s t ssubt h, mem_of_superset h (hf s t ssubt))
theorem rtendsto_nhds {r : rel β α} {l : filter β} {a : α} :
rtendsto r l (𝓝 a) ↔ (∀ s, is_open s → a ∈ s → r.core s ∈ l) :=
all_mem_nhds_filter _ _ (λ s t, id) _
theorem rtendsto'_nhds {r : rel β α} {l : filter β} {a : α} :
rtendsto' r l (𝓝 a) ↔ (∀ s, is_open s → a ∈ s → r.preimage s ∈ l) :=
by { rw [rtendsto'_def], apply all_mem_nhds_filter, apply rel.preimage_mono }
theorem ptendsto_nhds {f : β →. α} {l : filter β} {a : α} :
ptendsto f l (𝓝 a) ↔ (∀ s, is_open s → a ∈ s → f.core s ∈ l) :=
rtendsto_nhds
theorem ptendsto'_nhds {f : β →. α} {l : filter β} {a : α} :
ptendsto' f l (𝓝 a) ↔ (∀ s, is_open s → a ∈ s → f.preimage s ∈ l) :=
rtendsto'_nhds
theorem tendsto_nhds {f : β → α} {l : filter β} {a : α} :
tendsto f l (𝓝 a) ↔ (∀ s, is_open s → a ∈ s → f ⁻¹' s ∈ l) :=
all_mem_nhds_filter _ _ (λ s t h, preimage_mono h) _
lemma tendsto_const_nhds {a : α} {f : filter β} : tendsto (λb:β, a) f (𝓝 a) :=
tendsto_nhds.mpr $ assume s hs ha, univ_mem' $ assume _, ha
lemma tendsto_at_top_of_eventually_const {ι : Type*} [semilattice_sup ι] [nonempty ι]
{x : α} {u : ι → α} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : tendsto u at_top (𝓝 x) :=
tendsto.congr' (eventually_eq.symm (eventually_at_top.mpr ⟨i₀, h⟩)) tendsto_const_nhds
lemma tendsto_at_bot_of_eventually_const {ι : Type*} [semilattice_inf ι] [nonempty ι]
{x : α} {u : ι → α} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : tendsto u at_bot (𝓝 x) :=
tendsto.congr' (eventually_eq.symm (eventually_at_bot.mpr ⟨i₀, h⟩)) tendsto_const_nhds
lemma pure_le_nhds : pure ≤ (𝓝 : α → filter α) :=
assume a s hs, mem_pure.2 $ mem_of_mem_nhds hs
lemma tendsto_pure_nhds {α : Type*} [topological_space β] (f : α → β) (a : α) :
tendsto f (pure a) (𝓝 (f a)) :=
(tendsto_pure_pure f a).mono_right (pure_le_nhds _)
lemma order_top.tendsto_at_top_nhds {α : Type*} [order_top α] [topological_space β] (f : α → β) :
tendsto f at_top (𝓝 $ f ⊤) :=
(tendsto_at_top_pure f).mono_right (pure_le_nhds _)
@[simp] instance nhds_ne_bot {a : α} : ne_bot (𝓝 a) :=
ne_bot_of_le (pure_le_nhds a)
/-!
### Cluster points
In this section we define [cluster points](https://en.wikipedia.org/wiki/Limit_point)
(also known as limit points and accumulation points) of a filter and of a sequence.
-/
/-- A point `x` is a cluster point of a filter `F` if 𝓝 x ⊓ F ≠ ⊥. Also known as
an accumulation point or a limit point. -/
def cluster_pt (x : α) (F : filter α) : Prop := ne_bot (𝓝 x ⊓ F)
lemma cluster_pt.ne_bot {x : α} {F : filter α} (h : cluster_pt x F) : ne_bot (𝓝 x ⊓ F) := h
lemma filter.has_basis.cluster_pt_iff {ιa ιF} {pa : ιa → Prop} {sa : ιa → set α}
{pF : ιF → Prop} {sF : ιF → set α} {F : filter α}
(ha : (𝓝 a).has_basis pa sa) (hF : F.has_basis pF sF) :
cluster_pt a F ↔ ∀ ⦃i⦄ (hi : pa i) ⦃j⦄ (hj : pF j), (sa i ∩ sF j).nonempty :=
ha.inf_basis_ne_bot_iff hF
lemma cluster_pt_iff {x : α} {F : filter α} :
cluster_pt x F ↔ ∀ ⦃U : set α⦄ (hU : U ∈ 𝓝 x) ⦃V⦄ (hV : V ∈ F), (U ∩ V).nonempty :=
inf_ne_bot_iff
/-- `x` is a cluster point of a set `s` if every neighbourhood of `x` meets `s` on a nonempty
set. -/
lemma cluster_pt_principal_iff {x : α} {s : set α} :
cluster_pt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).nonempty :=
inf_principal_ne_bot_iff
lemma cluster_pt_principal_iff_frequently {x : α} {s : set α} :
cluster_pt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s :=
by simp only [cluster_pt_principal_iff, frequently_iff, set.nonempty, exists_prop, mem_inter_iff]
lemma cluster_pt.of_le_nhds {x : α} {f : filter α} (H : f ≤ 𝓝 x) [ne_bot f] : cluster_pt x f :=
by rwa [cluster_pt, inf_eq_right.mpr H]
lemma cluster_pt.of_le_nhds' {x : α} {f : filter α} (H : f ≤ 𝓝 x) (hf : ne_bot f) :
cluster_pt x f :=
cluster_pt.of_le_nhds H
lemma cluster_pt.of_nhds_le {x : α} {f : filter α} (H : 𝓝 x ≤ f) : cluster_pt x f :=
by simp only [cluster_pt, inf_eq_left.mpr H, nhds_ne_bot]
lemma cluster_pt.mono {x : α} {f g : filter α} (H : cluster_pt x f) (h : f ≤ g) :
cluster_pt x g :=
⟨ne_bot_of_le_ne_bot H.ne $ inf_le_inf_left _ h⟩
lemma cluster_pt.of_inf_left {x : α} {f g : filter α} (H : cluster_pt x $ f ⊓ g) :
cluster_pt x f :=
H.mono inf_le_left
lemma cluster_pt.of_inf_right {x : α} {f g : filter α} (H : cluster_pt x $ f ⊓ g) :
cluster_pt x g :=
H.mono inf_le_right
lemma ultrafilter.cluster_pt_iff {x : α} {f : ultrafilter α} : cluster_pt x f ↔ ↑f ≤ 𝓝 x :=
⟨f.le_of_inf_ne_bot', λ h, cluster_pt.of_le_nhds h⟩
/-- A point `x` is a cluster point of a sequence `u` along a filter `F` if it is a cluster point
of `map u F`. -/
def map_cluster_pt {ι :Type*} (x : α) (F : filter ι) (u : ι → α) : Prop := cluster_pt x (map u F)
lemma map_cluster_pt_iff {ι :Type*} (x : α) (F : filter ι) (u : ι → α) :
map_cluster_pt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s :=
by { simp_rw [map_cluster_pt, cluster_pt, inf_ne_bot_iff_frequently_left, frequently_map], refl }
lemma map_cluster_pt_of_comp {ι δ :Type*} {F : filter ι} {φ : δ → ι} {p : filter δ}
{x : α} {u : ι → α} [ne_bot p] (h : tendsto φ p F) (H : tendsto (u ∘ φ) p (𝓝 x)) :
map_cluster_pt x F u :=
begin
have := calc
map (u ∘ φ) p = map u (map φ p) : map_map
... ≤ map u F : map_mono h,
have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F,
from le_inf H this,
exact ne_bot_of_le this
end
/-!
### Interior, closure and frontier in terms of neighborhoods
-/
lemma interior_eq_nhds' {s : set α} : interior s = {a | s ∈ 𝓝 a} :=
set.ext $ λ x, by simp only [mem_interior, mem_nhds_iff, mem_set_of_eq]
lemma interior_eq_nhds {s : set α} : interior s = {a | 𝓝 a ≤ 𝓟 s} :=
interior_eq_nhds'.trans $ by simp only [le_principal_iff]
lemma mem_interior_iff_mem_nhds {s : set α} {a : α} :
a ∈ interior s ↔ s ∈ 𝓝 a :=
by rw [interior_eq_nhds', mem_set_of_eq]
@[simp] lemma interior_mem_nhds {s : set α} {a : α} :
interior s ∈ 𝓝 a ↔ s ∈ 𝓝 a :=
⟨λ h, mem_of_superset h interior_subset,
λ h, is_open.mem_nhds is_open_interior (mem_interior_iff_mem_nhds.2 h)⟩
lemma interior_set_of_eq {p : α → Prop} :
interior {x | p x} = {x | ∀ᶠ y in 𝓝 x, p y} :=
interior_eq_nhds'
lemma is_open_set_of_eventually_nhds {p : α → Prop} :
is_open {x | ∀ᶠ y in 𝓝 x, p y} :=
by simp only [← interior_set_of_eq, is_open_interior]
lemma subset_interior_iff_nhds {s V : set α} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x :=
show (∀ x, x ∈ s → x ∈ _) ↔ _, by simp_rw mem_interior_iff_mem_nhds
lemma is_open_iff_nhds {s : set α} : is_open s ↔ ∀a∈s, 𝓝 a ≤ 𝓟 s :=
calc is_open s ↔ s ⊆ interior s : subset_interior_iff_open.symm
... ↔ (∀a∈s, 𝓝 a ≤ 𝓟 s) : by rw [interior_eq_nhds]; refl
lemma is_open_iff_mem_nhds {s : set α} : is_open s ↔ ∀a∈s, s ∈ 𝓝 a :=
is_open_iff_nhds.trans $ forall_congr $ λ _, imp_congr_right $ λ _, le_principal_iff
theorem is_open_iff_ultrafilter {s : set α} :
is_open s ↔ (∀ (x ∈ s) (l : ultrafilter α), ↑l ≤ 𝓝 x → s ∈ l) :=
by simp_rw [is_open_iff_mem_nhds, ← mem_iff_ultrafilter]
lemma mem_closure_iff_frequently {s : set α} {a : α} : a ∈ closure s ↔ ∃ᶠ x in 𝓝 a, x ∈ s :=
by rw [filter.frequently, filter.eventually, ← mem_interior_iff_mem_nhds,
closure_eq_compl_interior_compl]; refl
alias mem_closure_iff_frequently ↔ _ filter.frequently.mem_closure
/-- The set of cluster points of a filter is closed. In particular, the set of limit points
of a sequence is closed. -/
lemma is_closed_set_of_cluster_pt {f : filter α} : is_closed {x | cluster_pt x f} :=
begin
simp only [cluster_pt, inf_ne_bot_iff_frequently_left, set_of_forall, imp_iff_not_or],
refine is_closed_Inter (λ p, is_closed.union _ _); apply is_closed_compl_iff.2,
exacts [is_open_set_of_eventually_nhds, is_open_const]
end
theorem mem_closure_iff_cluster_pt {s : set α} {a : α} : a ∈ closure s ↔ cluster_pt a (𝓟 s) :=
mem_closure_iff_frequently.trans cluster_pt_principal_iff_frequently.symm
lemma mem_closure_iff_nhds_ne_bot {s : set α} : a ∈ closure s ↔ 𝓝 a ⊓ 𝓟 s ≠ ⊥ :=
mem_closure_iff_cluster_pt.trans ne_bot_iff
lemma closure_eq_cluster_pts {s : set α} : closure s = {a | cluster_pt a (𝓟 s)} :=
set.ext $ λ x, mem_closure_iff_cluster_pt
theorem mem_closure_iff_nhds {s : set α} {a : α} :
a ∈ closure s ↔ ∀ t ∈ 𝓝 a, (t ∩ s).nonempty :=
mem_closure_iff_cluster_pt.trans cluster_pt_principal_iff
theorem mem_closure_iff_nhds' {s : set α} {a : α} :
a ∈ closure s ↔ ∀ t ∈ 𝓝 a, ∃ y : s, ↑y ∈ t :=
by simp only [mem_closure_iff_nhds, set.nonempty_inter_iff_exists_right]
theorem mem_closure_iff_comap_ne_bot {A : set α} {x : α} :
x ∈ closure A ↔ ne_bot (comap (coe : A → α) (𝓝 x)) :=
by simp_rw [mem_closure_iff_nhds, comap_ne_bot_iff, set.nonempty_inter_iff_exists_right]
theorem mem_closure_iff_nhds_basis' {a : α} {p : β → Prop} {s : β → set α} (h : (𝓝 a).has_basis p s)
{t : set α} :
a ∈ closure t ↔ ∀ i, p i → (s i ∩ t).nonempty :=
mem_closure_iff_cluster_pt.trans $ (h.cluster_pt_iff (has_basis_principal _)).trans $
by simp only [exists_prop, forall_const]
theorem mem_closure_iff_nhds_basis {a : α} {p : β → Prop} {s : β → set α} (h : (𝓝 a).has_basis p s)
{t : set α} :
a ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i :=
(mem_closure_iff_nhds_basis' h).trans $
by simp only [set.nonempty, mem_inter_eq, exists_prop, and_comm]
/-- `x` belongs to the closure of `s` if and only if some ultrafilter
supported on `s` converges to `x`. -/
lemma mem_closure_iff_ultrafilter {s : set α} {x : α} :
x ∈ closure s ↔ ∃ (u : ultrafilter α), s ∈ u ∧ ↑u ≤ 𝓝 x :=
by simp [closure_eq_cluster_pts, cluster_pt, ← exists_ultrafilter_iff, and.comm]
lemma is_closed_iff_cluster_pt {s : set α} : is_closed s ↔ ∀a, cluster_pt a (𝓟 s) → a ∈ s :=
calc is_closed s ↔ closure s ⊆ s : closure_subset_iff_is_closed.symm
... ↔ (∀a, cluster_pt a (𝓟 s) → a ∈ s) : by simp only [subset_def, mem_closure_iff_cluster_pt]
lemma is_closed_iff_nhds {s : set α} : is_closed s ↔ ∀ x, (∀ U ∈ 𝓝 x, (U ∩ s).nonempty) → x ∈ s :=
by simp_rw [is_closed_iff_cluster_pt, cluster_pt, inf_principal_ne_bot_iff]
lemma closure_inter_open {s t : set α} (h : is_open s) : s ∩ closure t ⊆ closure (s ∩ t) :=
begin
rintro a ⟨hs, ht⟩,
have : s ∈ 𝓝 a := is_open.mem_nhds h hs,
rw mem_closure_iff_nhds_ne_bot at ht ⊢,
rwa [← inf_principal, ← inf_assoc, inf_eq_left.2 (le_principal_iff.2 this)],
end
lemma closure_inter_open' {s t : set α} (h : is_open t) : closure s ∩ t ⊆ closure (s ∩ t) :=
by simpa only [inter_comm] using closure_inter_open h
lemma dense.open_subset_closure_inter {s t : set α} (hs : dense s) (ht : is_open t) :
t ⊆ closure (t ∩ s) :=
calc t = t ∩ closure s : by rw [hs.closure_eq, inter_univ]
... ⊆ closure (t ∩ s) : closure_inter_open ht
lemma mem_closure_of_mem_closure_union {s₁ s₂ : set α} {x : α} (h : x ∈ closure (s₁ ∪ s₂))
(h₁ : s₁ᶜ ∈ 𝓝 x) : x ∈ closure s₂ :=
begin
rw mem_closure_iff_nhds_ne_bot at *,
rwa ← calc
𝓝 x ⊓ principal (s₁ ∪ s₂) = 𝓝 x ⊓ (principal s₁ ⊔ principal s₂) : by rw sup_principal
... = (𝓝 x ⊓ principal s₁) ⊔ (𝓝 x ⊓ principal s₂) : inf_sup_left
... = ⊥ ⊔ 𝓝 x ⊓ principal s₂ : by rw inf_principal_eq_bot.mpr h₁
... = 𝓝 x ⊓ principal s₂ : bot_sup_eq
end
/-- The intersection of an open dense set with a dense set is a dense set. -/
lemma dense.inter_of_open_left {s t : set α} (hs : dense s) (ht : dense t) (hso : is_open s) :
dense (s ∩ t) :=
λ x, (closure_minimal (closure_inter_open hso) is_closed_closure) $
by simp [hs.closure_eq, ht.closure_eq]
/-- The intersection of a dense set with an open dense set is a dense set. -/
lemma dense.inter_of_open_right {s t : set α} (hs : dense s) (ht : dense t) (hto : is_open t) :
dense (s ∩ t) :=
inter_comm t s ▸ ht.inter_of_open_left hs hto
lemma dense.inter_nhds_nonempty {s t : set α} (hs : dense s) {x : α} (ht : t ∈ 𝓝 x) :
(s ∩ t).nonempty :=
let ⟨U, hsub, ho, hx⟩ := mem_nhds_iff.1 ht in
(hs.inter_open_nonempty U ho ⟨x, hx⟩).mono $ λ y hy, ⟨hy.2, hsub hy.1⟩
lemma closure_diff {s t : set α} : closure s \ closure t ⊆ closure (s \ t) :=
calc closure s \ closure t = (closure t)ᶜ ∩ closure s : by simp only [diff_eq, inter_comm]
... ⊆ closure ((closure t)ᶜ ∩ s) : closure_inter_open $ is_open_compl_iff.mpr $ is_closed_closure
... = closure (s \ closure t) : by simp only [diff_eq, inter_comm]
... ⊆ closure (s \ t) : closure_mono $ diff_subset_diff (subset.refl s) subset_closure
lemma filter.frequently.mem_of_closed {a : α} {s : set α} (h : ∃ᶠ x in 𝓝 a, x ∈ s)
(hs : is_closed s) : a ∈ s :=
hs.closure_subset h.mem_closure
lemma is_closed.mem_of_frequently_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
(hs : is_closed s) (h : ∃ᶠ x in b, f x ∈ s) (hf : tendsto f b (𝓝 a)) : a ∈ s :=
(hf.frequently $ show ∃ᶠ x in b, (λ y, y ∈ s) (f x), from h).mem_of_closed hs
lemma is_closed.mem_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
[ne_bot b] (hs : is_closed s) (hf : tendsto f b (𝓝 a)) (h : ∀ᶠ x in b, f x ∈ s) : a ∈ s :=
hs.mem_of_frequently_of_tendsto h.frequently hf
lemma mem_closure_of_tendsto {f : β → α} {b : filter β} {a : α} {s : set α}
[ne_bot b] (hf : tendsto f b (𝓝 a)) (h : ∀ᶠ x in b, f x ∈ s) : a ∈ closure s :=
is_closed_closure.mem_of_tendsto hf $ h.mono (preimage_mono subset_closure)
/-- Suppose that `f` sends the complement to `s` to a single point `a`, and `l` is some filter.
Then `f` tends to `a` along `l` restricted to `s` if and only if it tends to `a` along `l`. -/
lemma tendsto_inf_principal_nhds_iff_of_forall_eq {f : β → α} {l : filter β} {s : set β}
{a : α} (h : ∀ x ∉ s, f x = a) :
tendsto f (l ⊓ 𝓟 s) (𝓝 a) ↔ tendsto f l (𝓝 a) :=
begin
rw [tendsto_iff_comap, tendsto_iff_comap],
replace h : 𝓟 sᶜ ≤ comap f (𝓝 a),
{ rintros U ⟨t, ht, htU⟩ x hx,
have : f x ∈ t, from (h x hx).symm ▸ mem_of_mem_nhds ht,
exact htU this },
refine ⟨λ h', _, le_trans inf_le_left⟩,
have := sup_le h' h,
rw [sup_inf_right, sup_principal, union_compl_self, principal_univ,
inf_top_eq, sup_le_iff] at this,
exact this.1
end
/-!
### Limits of filters in topological spaces
-/
section lim
/-- If `f` is a filter, then `Lim f` is a limit of the filter, if it exists. -/
noncomputable def Lim [nonempty α] (f : filter α) : α := epsilon $ λa, f ≤ 𝓝 a
/--
If `f` is a filter satisfying `ne_bot f`, then `Lim' f` is a limit of the filter, if it exists.
-/
def Lim' (f : filter α) [ne_bot f] : α := @Lim _ _ (nonempty_of_ne_bot f) f
/--
If `F` is an ultrafilter, then `filter.ultrafilter.Lim F` is a limit of the filter, if it exists.
Note that dot notation `F.Lim` can be used for `F : ultrafilter α`.
-/
def ultrafilter.Lim : ultrafilter α → α := λ F, Lim' F
/-- If `f` is a filter in `β` and `g : β → α` is a function, then `lim f` is a limit of `g` at `f`,
if it exists. -/
noncomputable def lim [nonempty α] (f : filter β) (g : β → α) : α :=
Lim (f.map g)
/-- If a filter `f` is majorated by some `𝓝 a`, then it is majorated by `𝓝 (Lim f)`. We formulate
this lemma with a `[nonempty α]` argument of `Lim` derived from `h` to make it useful for types
without a `[nonempty α]` instance. Because of the built-in proof irrelevance, Lean will unify
this instance with any other instance. -/
lemma le_nhds_Lim {f : filter α} (h : ∃a, f ≤ 𝓝 a) : f ≤ 𝓝 (@Lim _ _ (nonempty_of_exists h) f) :=
epsilon_spec h
/-- If `g` tends to some `𝓝 a` along `f`, then it tends to `𝓝 (lim f g)`. We formulate
this lemma with a `[nonempty α]` argument of `lim` derived from `h` to make it useful for types
without a `[nonempty α]` instance. Because of the built-in proof irrelevance, Lean will unify
this instance with any other instance. -/
lemma tendsto_nhds_lim {f : filter β} {g : β → α} (h : ∃ a, tendsto g f (𝓝 a)) :
tendsto g f (𝓝 $ @lim _ _ _ (nonempty_of_exists h) f g) :=
le_nhds_Lim h
end lim
/-!
### Locally finite families
-/
/- locally finite family [General Topology (Bourbaki, 1995)] -/
section locally_finite
/-- A family of sets in `set α` is locally finite if at every point `x:α`,
there is a neighborhood of `x` which meets only finitely many sets in the family -/
def locally_finite (f : β → set α) :=
∀x:α, ∃t ∈ 𝓝 x, finite {i | (f i ∩ t).nonempty }
lemma locally_finite.point_finite {f : β → set α} (hf : locally_finite f) (x : α) :
finite {b | x ∈ f b} :=
let ⟨t, hxt, ht⟩ := hf x in ht.subset $ λ b hb, ⟨x, hb, mem_of_mem_nhds hxt⟩
lemma locally_finite_of_fintype [fintype β] (f : β → set α) : locally_finite f :=
assume x, ⟨univ, univ_mem, finite.of_fintype _⟩
lemma locally_finite.subset
{f₁ f₂ : β → set α} (hf₂ : locally_finite f₂) (hf : ∀b, f₁ b ⊆ f₂ b) : locally_finite f₁ :=
assume a,
let ⟨t, ht₁, ht₂⟩ := hf₂ a in
⟨t, ht₁, ht₂.subset $ assume i hi, hi.mono $ inter_subset_inter (hf i) $ subset.refl _⟩
lemma locally_finite.comp_injective {ι} {f : β → set α} {g : ι → β} (hf : locally_finite f)
(hg : function.injective g) : locally_finite (f ∘ g) :=
λ x, let ⟨t, htx, htf⟩ := hf x in ⟨t, htx, htf.preimage (hg.inj_on _)⟩
lemma locally_finite.closure {f : β → set α} (hf : locally_finite f) :
locally_finite (λ i, closure (f i)) :=
begin
intro x,
rcases hf x with ⟨s, hsx, hsf⟩,
refine ⟨interior s, interior_mem_nhds.2 hsx, hsf.subset $ λ i hi, _⟩,
exact (hi.mono (closure_inter_open' is_open_interior)).of_closure.mono
(inter_subset_inter_right _ interior_subset)
end
lemma locally_finite.is_closed_Union {f : β → set α}
(h₁ : locally_finite f) (h₂ : ∀i, is_closed (f i)) : is_closed (⋃i, f i) :=
begin
simp only [← is_open_compl_iff, compl_Union, is_open_iff_mem_nhds, mem_Inter],
intros a ha,
replace ha : ∀ i, (f i)ᶜ ∈ 𝓝 a := λ i, (h₂ i).is_open_compl.mem_nhds (ha i),
rcases h₁ a with ⟨t, h_nhds, h_fin⟩,
have : t ∩ (⋂ i ∈ {i | (f i ∩ t).nonempty}, (f i)ᶜ) ∈ 𝓝 a,
from inter_mem h_nhds ((bInter_mem h_fin).2 (λ i _, ha i)),
filter_upwards [this],
simp only [mem_inter_eq, mem_Inter],
rintros b ⟨hbt, hn⟩ i hfb,
exact hn i ⟨b, hfb, hbt⟩ hfb
end
lemma locally_finite.closure_Union {f : β → set α} (h : locally_finite f) :
closure (⋃ i, f i) = ⋃ i, closure (f i) :=
subset.antisymm
(closure_minimal (Union_subset_Union $ λ _, subset_closure) $
h.closure.is_closed_Union $ λ _, is_closed_closure)
(Union_subset $ λ i, closure_mono $ subset_Union _ _)
end locally_finite
end topological_space
/-!
### Continuity
-/
section continuous
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variables [topological_space α] [topological_space β] [topological_space γ]
open_locale topological_space
/-- A function between topological spaces is continuous if the preimage
of every open set is open. Registered as a structure to make sure it is not unfolded by Lean. -/
structure continuous (f : α → β) : Prop :=
(is_open_preimage : ∀s, is_open s → is_open (f ⁻¹' s))
lemma continuous_def {f : α → β} : continuous f ↔ (∀s, is_open s → is_open (f ⁻¹' s)) :=
⟨λ hf s hs, hf.is_open_preimage s hs, λ h, ⟨h⟩⟩
lemma is_open.preimage {f : α → β} (hf : continuous f) {s : set β} (h : is_open s) :
is_open (f ⁻¹' s) :=
hf.is_open_preimage s h
/-- A function between topological spaces is continuous at a point `x₀`
if `f x` tends to `f x₀` when `x` tends to `x₀`. -/
def continuous_at (f : α → β) (x : α) := tendsto f (𝓝 x) (𝓝 (f x))
lemma continuous_at.tendsto {f : α → β} {x : α} (h : continuous_at f x) :
tendsto f (𝓝 x) (𝓝 (f x)) :=
h
lemma continuous_at_congr {f g : α → β} {x : α} (h : f =ᶠ[𝓝 x] g) :
continuous_at f x ↔ continuous_at g x :=
by simp only [continuous_at, tendsto_congr' h, h.eq_of_nhds]
lemma continuous_at.congr {f g : α → β} {x : α} (hf : continuous_at f x) (h : f =ᶠ[𝓝 x] g) :
continuous_at g x :=
(continuous_at_congr h).1 hf
lemma continuous_at.preimage_mem_nhds {f : α → β} {x : α} {t : set β} (h : continuous_at f x)
(ht : t ∈ 𝓝 (f x)) : f ⁻¹' t ∈ 𝓝 x :=
h ht
lemma eventually_eq_zero_nhds {M₀} [has_zero M₀] {a : α} {f : α → M₀} :
f =ᶠ[𝓝 a] 0 ↔ a ∉ closure (function.support f) :=
by rw [← mem_compl_eq, ← interior_compl, mem_interior_iff_mem_nhds, function.compl_support]; refl
lemma cluster_pt.map {x : α} {la : filter α} {lb : filter β} (H : cluster_pt x la)
{f : α → β} (hfc : continuous_at f x) (hf : tendsto f la lb) :
cluster_pt (f x) lb :=
⟨ne_bot_of_le_ne_bot ((map_ne_bot_iff f).2 H).ne $ hfc.tendsto.inf hf⟩
lemma preimage_interior_subset_interior_preimage {f : α → β} {s : set β}
(hf : continuous f) : f⁻¹' (interior s) ⊆ interior (f⁻¹' s) :=
interior_maximal (preimage_mono interior_subset) (is_open_interior.preimage hf)
lemma continuous_id : continuous (id : α → α) :=
continuous_def.2 $ assume s h, h
lemma continuous.comp {g : β → γ} {f : α → β} (hg : continuous g) (hf : continuous f) :
continuous (g ∘ f) :=
continuous_def.2 $ assume s h, (h.preimage hg).preimage hf
lemma continuous.iterate {f : α → α} (h : continuous f) (n : ℕ) : continuous (f^[n]) :=
nat.rec_on n continuous_id (λ n ihn, ihn.comp h)
lemma continuous_at.comp {g : β → γ} {f : α → β} {x : α}
(hg : continuous_at g (f x)) (hf : continuous_at f x) :
continuous_at (g ∘ f) x :=
hg.comp hf
lemma continuous.tendsto {f : α → β} (hf : continuous f) (x) :
tendsto f (𝓝 x) (𝓝 (f x)) :=
((nhds_basis_opens x).tendsto_iff $ nhds_basis_opens $ f x).2 $
λ t ⟨hxt, ht⟩, ⟨f ⁻¹' t, ⟨hxt, ht.preimage hf⟩, subset.refl _⟩
/-- A version of `continuous.tendsto` that allows one to specify a simpler form of the limit.
E.g., one can write `continuous_exp.tendsto' 0 1 exp_zero`. -/
lemma continuous.tendsto' {f : α → β} (hf : continuous f) (x : α) (y : β) (h : f x = y) :
tendsto f (𝓝 x) (𝓝 y) :=
h ▸ hf.tendsto x
lemma continuous.continuous_at {f : α → β} {x : α} (h : continuous f) :
continuous_at f x :=
h.tendsto x
lemma continuous_iff_continuous_at {f : α → β} : continuous f ↔ ∀ x, continuous_at f x :=
⟨continuous.tendsto,
assume hf : ∀x, tendsto f (𝓝 x) (𝓝 (f x)),
continuous_def.2 $
assume s, assume hs : is_open s,
have ∀a, f a ∈ s → s ∈ 𝓝 (f a),
from λ a ha, is_open.mem_nhds hs ha,
show is_open (f ⁻¹' s),
from is_open_iff_nhds.2 $ λ a ha, le_principal_iff.2 $ hf _ (this a ha)⟩
lemma continuous_at_const {x : α} {b : β} : continuous_at (λ a:α, b) x :=
tendsto_const_nhds
lemma continuous_const {b : β} : continuous (λa:α, b) :=
continuous_iff_continuous_at.mpr $ assume a, continuous_at_const
lemma continuous_at_id {x : α} : continuous_at id x :=
continuous_id.continuous_at
lemma continuous_at.iterate {f : α → α} {x : α} (hf : continuous_at f x) (hx : f x = x) (n : ℕ) :
continuous_at (f^[n]) x :=
nat.rec_on n continuous_at_id $ λ n ihn,
show continuous_at (f^[n] ∘ f) x,
from continuous_at.comp (hx.symm ▸ ihn) hf
lemma continuous_iff_is_closed {f : α → β} :
continuous f ↔ (∀s, is_closed s → is_closed (f ⁻¹' s)) :=
⟨assume hf s hs, by simpa using (continuous_def.1 hf sᶜ hs.is_open_compl).is_closed_compl,
assume hf, continuous_def.2 $ assume s,
by rw [←is_closed_compl_iff, ←is_closed_compl_iff]; exact hf _⟩
lemma is_closed.preimage {f : α → β} (hf : continuous f) {s : set β} (h : is_closed s) :
is_closed (f ⁻¹' s) :=
continuous_iff_is_closed.mp hf s h
lemma mem_closure_image {f : α → β} {x : α} {s : set α} (hf : continuous_at f x)
(hx : x ∈ closure s) : f x ∈ closure (f '' s) :=
begin
rw [mem_closure_iff_nhds_ne_bot] at hx ⊢,
rw ← bot_lt_iff_ne_bot,
haveI : ne_bot _ := ⟨hx⟩,
calc
⊥ < map f (𝓝 x ⊓ principal s) : bot_lt_iff_ne_bot.mpr ne_bot.ne'
... ≤ (map f $ 𝓝 x) ⊓ (map f $ principal s) : map_inf_le
... = (map f $ 𝓝 x) ⊓ (principal $ f '' s) : by rw map_principal
... ≤ 𝓝 (f x) ⊓ (principal $ f '' s) : inf_le_inf hf le_rfl
end
lemma continuous_at_iff_ultrafilter {f : α → β} {x} : continuous_at f x ↔
∀ g : ultrafilter α, ↑g ≤ 𝓝 x → tendsto f g (𝓝 (f x)) :=
tendsto_iff_ultrafilter f (𝓝 x) (𝓝 (f x))
lemma continuous_iff_ultrafilter {f : α → β} :
continuous f ↔ ∀ x (g : ultrafilter α), ↑g ≤ 𝓝 x → tendsto f g (𝓝 (f x)) :=
by simp only [continuous_iff_continuous_at, continuous_at_iff_ultrafilter]
lemma continuous.closure_preimage_subset {f : α → β}
(hf : continuous f) (t : set β) :
closure (f ⁻¹' t) ⊆ f ⁻¹' (closure t) :=
begin
rw ← (is_closed_closure.preimage hf).closure_eq,
exact closure_mono (preimage_mono subset_closure),
end
lemma continuous.frontier_preimage_subset
{f : α → β} (hf : continuous f) (t : set β) :
frontier (f ⁻¹' t) ⊆ f ⁻¹' (frontier t) :=
diff_subset_diff (hf.closure_preimage_subset t) (preimage_interior_subset_interior_preimage hf)
/-! ### Continuity and partial functions -/
/-- Continuity of a partial function -/
def pcontinuous (f : α →. β) := ∀ s, is_open s → is_open (f.preimage s)
lemma open_dom_of_pcontinuous {f : α →. β} (h : pcontinuous f) : is_open f.dom :=
by rw [←pfun.preimage_univ]; exact h _ is_open_univ
lemma pcontinuous_iff' {f : α →. β} :
pcontinuous f ↔ ∀ {x y} (h : y ∈ f x), ptendsto' f (𝓝 x) (𝓝 y) :=
begin
split,
{ intros h x y h',
simp only [ptendsto'_def, mem_nhds_iff],
rintros s ⟨t, tsubs, opent, yt⟩,
exact ⟨f.preimage t, pfun.preimage_mono _ tsubs, h _ opent, ⟨y, yt, h'⟩⟩
},
intros hf s os,
rw is_open_iff_nhds,
rintros x ⟨y, ys, fxy⟩ t,
rw [mem_principal],
assume h : f.preimage s ⊆ t,
change t ∈ 𝓝 x,
apply mem_of_superset _ h,
have h' : ∀ s ∈ 𝓝 y, f.preimage s ∈ 𝓝 x,
{ intros s hs,
have : ptendsto' f (𝓝 x) (𝓝 y) := hf fxy,
rw ptendsto'_def at this,
exact this s hs },
show f.preimage s ∈ 𝓝 x,
apply h', rw mem_nhds_iff, exact ⟨s, set.subset.refl _, os, ys⟩
end
/-- If a continuous map `f` maps `s` to `t`, then it maps `closure s` to `closure t`. -/
lemma set.maps_to.closure {s : set α} {t : set β} {f : α → β} (h : maps_to f s t)
(hc : continuous f) : maps_to f (closure s) (closure t) :=
begin
simp only [maps_to, mem_closure_iff_cluster_pt],
exact λ x hx, hx.map hc.continuous_at (tendsto_principal_principal.2 h)
end
lemma image_closure_subset_closure_image {f : α → β} {s : set α} (h : continuous f) :
f '' closure s ⊆ closure (f '' s) :=
((maps_to_image f s).closure h).image_subset
lemma closure_subset_preimage_closure_image {f : α → β} {s : set α} (h : continuous f) :
closure s ⊆ f ⁻¹' (closure (f '' s)) :=
by { rw ← set.image_subset_iff, exact image_closure_subset_closure_image h }
lemma map_mem_closure {s : set α} {t : set β} {f : α → β} {a : α}
(hf : continuous f) (ha : a ∈ closure s) (ht : ∀a∈s, f a ∈ t) : f a ∈ closure t :=
set.maps_to.closure ht hf ha
/-!
### Function with dense range
-/
section dense_range
variables {κ ι : Type*} (f : κ → β) (g : β → γ)
/-- `f : ι → β` has dense range if its range (image) is a dense subset of β. -/
def dense_range := dense (range f)
variables {f}
/-- A surjective map has dense range. -/
lemma function.surjective.dense_range (hf : function.surjective f) : dense_range f :=
λ x, by simp [hf.range_eq]
lemma dense_range_iff_closure_range : dense_range f ↔ closure (range f) = univ :=
dense_iff_closure_eq
lemma dense_range.closure_range (h : dense_range f) : closure (range f) = univ :=
h.closure_eq
lemma continuous.range_subset_closure_image_dense {f : α → β} (hf : continuous f)
{s : set α} (hs : dense s) :
range f ⊆ closure (f '' s) :=
by { rw [← image_univ, ← hs.closure_eq], exact image_closure_subset_closure_image hf }
/-- The image of a dense set under a continuous map with dense range is a dense set. -/
lemma dense_range.dense_image {f : α → β} (hf' : dense_range f) (hf : continuous f)
{s : set α} (hs : dense s) :
dense (f '' s) :=
(hf'.mono $ hf.range_subset_closure_image_dense hs).of_closure
/-- If `f` has dense range and `s` is an open set in the codomain of `f`, then the image of the
preimage of `s` under `f` is dense in `s`. -/
lemma dense_range.subset_closure_image_preimage_of_is_open (hf : dense_range f) {s : set β}
(hs : is_open s) : s ⊆ closure (f '' (f ⁻¹' s)) :=
by { rw image_preimage_eq_inter_range, exact hf.open_subset_closure_inter hs }
/-- If a continuous map with dense range maps a dense set to a subset of `t`, then `t` is a dense
set. -/
lemma dense_range.dense_of_maps_to {f : α → β} (hf' : dense_range f) (hf : continuous f)
{s : set α} (hs : dense s) {t : set β} (ht : maps_to f s t) :
dense t :=
(hf'.dense_image hf hs).mono ht.image_subset
/-- Composition of a continuous map with dense range and a function with dense range has dense
range. -/
lemma dense_range.comp {g : β → γ} {f : κ → β} (hg : dense_range g) (hf : dense_range f)
(cg : continuous g) :
dense_range (g ∘ f) :=
by { rw [dense_range, range_comp], exact hg.dense_image cg hf }
lemma dense_range.nonempty_iff (hf : dense_range f) : nonempty κ ↔ nonempty β :=
range_nonempty_iff_nonempty.symm.trans hf.nonempty_iff
lemma dense_range.nonempty [h : nonempty β] (hf : dense_range f) : nonempty κ :=
hf.nonempty_iff.mpr h
/-- Given a function `f : α → β` with dense range and `b : β`, returns some `a : α`. -/
def dense_range.some (hf : dense_range f) (b : β) : κ :=
classical.choice $ hf.nonempty_iff.mpr ⟨b⟩
end dense_range
end continuous
|
63a3b62296ae3a7e61313632110d7497606ead9f | 6b45072eb2b3db3ecaace2a7a0241ce81f815787 | /tools/auto/experiments/test3.lean | 7b8342d79c25d60798c15374f0d0b894f0892195 | [] | no_license | avigad/library_dev | 27b47257382667b5eb7e6476c4f5b0d685dd3ddc | 9d8ac7c7798ca550874e90fed585caad030bbfac | refs/heads/master | 1,610,452,468,791 | 1,500,712,839,000 | 1,500,713,478,000 | 69,311,142 | 1 | 0 | null | 1,474,942,903,000 | 1,474,942,902,000 | null | UTF-8 | Lean | false | false | 3,013 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
Examples from the tutorial.
-/
import ..finish
open auto
section
variables p q r s : Prop
-- commutativity of ∧ and ∨
example : p ∧ q ↔ q ∧ p := by finish
example : p ∨ q ↔ q ∨ p := by finish
-- associativity of ∧ and ∨
example : (p ∧ q) ∧ r ↔ p ∧ (q ∧ r) := by finish
example : (p ∨ q) ∨ r ↔ p ∨ (q ∨ r) := by finish
-- distributivity
example : p ∧ (q ∨ r) ↔ (p ∧ q) ∨ (p ∧ r) := by finish [iff_def]
example : p ∨ (q ∧ r) ↔ (p ∨ q) ∧ (p ∨ r) := by finish [iff_def]
-- other properties
example : (p → (q → r)) ↔ (p ∧ q → r) := by finish [iff_def]
example : ((p ∨ q) → r) ↔ (p → r) ∧ (q → r) := by finish [iff_def]
example : ¬(p ∨ q) ↔ ¬p ∧ ¬q := by finish
example : ¬p ∨ ¬q → ¬(p ∧ q) := by finish
example : ¬(p ∧ ¬ p) := by finish
example : p ∧ ¬q → ¬(p → q) := by finish
example : ¬p → (p → q) := by finish
example : (¬p ∨ q) → (p → q) := by finish
example : p ∨ false ↔ p := by finish
example : p ∧ false ↔ false := by finish
example : ¬(p ↔ ¬p) := by finish
example : (p → q) → (¬q → ¬p) := by finish
-- these require classical reasoning
example : (p → r ∨ s) → ((p → r) ∨ (p → s)) := by finish
example : ¬(p ∧ q) → ¬p ∨ ¬q := by finish
example : ¬(p → q) → p ∧ ¬q := by finish
example : (p → q) → (¬p ∨ q) := by finish
example : (¬q → ¬p) → (p → q) := by finish
example : p ∨ ¬p := by finish
example : (((p → q) → p) → p) := by finish
end
section
variables (A : Type) (p q : A → Prop)
variable a : A
variable r : Prop
example : (∃ x : A, r) → r := by finish
-- TODO(Jeremy): can we get these automatically?
example (a : A) : r → (∃ x : A, r) := begin safe; apply a_2; assumption end
example : (∃ x, p x ∧ r) ↔ (∃ x, p x) ∧ r := by finish
theorem foo: (∃ x, p x ∨ q x) ↔ (∃ x, p x) ∨ (∃ x, q x) :=
by finish [iff_def]
example (h : ∀ x, ¬ ¬ p x) : p a := by finish
example (h : ∀ x, ¬ ¬ p x) : ∀ x, p x := by finish
set_option pp.all true
example : (∀ x, p x) ↔ ¬ (∃ x, ¬ p x) := by finish
example : (∃ x, p x) ↔ ¬ (∀ x, ¬ p x) := by finish
example : (¬ ∃ x, p x) ↔ (∀ x, ¬ p x) := by finish
example : (¬ ∀ x, p x) ↔ (∃ x, ¬ p x) := by finish
example : (∃ x, ¬ p x) → (¬ ∀ x, p x) := by finish
example : (∀ x, p x → r) ↔ (∃ x, p x) → r := by finish [iff_def]
-- TODO(Jeremy): can we get these automatically?
example (a : A) : (∃ x, p x → r) ↔ (∀ x, p x) → r := begin safe [iff_def]; exact h a end
example (a : A) : (∃ x, r → p x) ↔ (r → ∃ x, p x) := begin safe [iff_def]; exact h_1 a end
example : (∃ x, p x → r) → (∀ x, p x) → r := by finish
example : (∃ x, r → p x) → (r → ∃ x, p x) := by finish
end
|
60b2b11e8ec1fc09994f3d17811c2b26c20ab8ad | 1abd1ed12aa68b375cdef28959f39531c6e95b84 | /src/ring_theory/finiteness.lean | 194e8e86fd3b69dbd7217a598cade80e8b047c72 | [
"Apache-2.0"
] | permissive | jumpy4/mathlib | d3829e75173012833e9f15ac16e481e17596de0f | af36f1a35f279f0e5b3c2a77647c6bf2cfd51a13 | refs/heads/master | 1,693,508,842,818 | 1,636,203,271,000 | 1,636,203,271,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 35,301 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import group_theory.finiteness
import ring_theory.algebra_tower
import ring_theory.ideal.quotient
import ring_theory.noetherian
/-!
# Finiteness conditions in commutative algebra
In this file we define several notions of finiteness that are common in commutative algebra.
## Main declarations
- `module.finite`, `algebra.finite`, `ring_hom.finite`, `alg_hom.finite`
all of these express that some object is finitely generated *as module* over some base ring.
- `algebra.finite_type`, `ring_hom.finite_type`, `alg_hom.finite_type`
all of these express that some object is finitely generated *as algebra* over some base ring.
- `algebra.finite_presentation`, `ring_hom.finite_presentation`, `alg_hom.finite_presentation`
all of these express that some object is finitely presented *as algebra* over some base ring.
-/
open function (surjective)
open_locale big_operators
section module_and_algebra
variables (R A B M N : Type*)
/-- A module over a semiring is `finite` if it is finitely generated as a module. -/
class module.finite [semiring R] [add_comm_monoid M] [module R M] :
Prop := (out : (⊤ : submodule R M).fg)
/-- An algebra over a commutative semiring is of `finite_type` if it is finitely generated
over the base ring as algebra. -/
class algebra.finite_type [comm_semiring R] [semiring A] [algebra R A] : Prop :=
(out : (⊤ : subalgebra R A).fg)
/-- An algebra over a commutative semiring is `finite_presentation` if it is the quotient of a
polynomial ring in `n` variables by a finitely generated ideal. -/
def algebra.finite_presentation [comm_semiring R] [semiring A] [algebra R A] : Prop :=
∃ (n : ℕ) (f : mv_polynomial (fin n) R →ₐ[R] A),
surjective f ∧ f.to_ring_hom.ker.fg
namespace module
variables [semiring R] [add_comm_monoid M] [module R M] [add_comm_monoid N] [module R N]
lemma finite_def {R M} [semiring R] [add_comm_monoid M] [module R M] :
finite R M ↔ (⊤ : submodule R M).fg := ⟨λ h, h.1, λ h, ⟨h⟩⟩
@[priority 100] -- see Note [lower instance priority]
instance is_noetherian.finite [is_noetherian R M] : finite R M :=
⟨is_noetherian.noetherian ⊤⟩
namespace finite
open _root_.submodule set
lemma iff_add_monoid_fg {M : Type*} [add_comm_monoid M] : module.finite ℕ M ↔ add_monoid.fg M :=
⟨λ h, add_monoid.fg_def.2 $ (fg_iff_add_submonoid_fg ⊤).1 (finite_def.1 h),
λ h, finite_def.2 $ (fg_iff_add_submonoid_fg ⊤).2 (add_monoid.fg_def.1 h)⟩
lemma iff_add_group_fg {G : Type*} [add_comm_group G] : module.finite ℤ G ↔ add_group.fg G :=
⟨λ h, add_group.fg_def.2 $ (fg_iff_add_subgroup_fg ⊤).1 (finite_def.1 h),
λ h, finite_def.2 $ (fg_iff_add_subgroup_fg ⊤).2 (add_group.fg_def.1 h)⟩
variables {R M N}
lemma exists_fin [finite R M] : ∃ (n : ℕ) (s : fin n → M), span R (range s) = ⊤ :=
submodule.fg_iff_exists_fin_generating_family.mp out
lemma of_surjective [hM : finite R M] (f : M →ₗ[R] N) (hf : surjective f) :
finite R N :=
⟨begin
rw [← linear_map.range_eq_top.2 hf, ← submodule.map_top],
exact submodule.fg_map hM.1
end⟩
lemma of_injective [is_noetherian R N] (f : M →ₗ[R] N)
(hf : function.injective f) : finite R M :=
⟨fg_of_injective f hf⟩
variables (R)
instance self : finite R R :=
⟨⟨{1}, by simpa only [finset.coe_singleton] using ideal.span_singleton_one⟩⟩
variable (M)
lemma of_restrict_scalars_finite (R A M : Type*) [comm_semiring R] [semiring A] [add_comm_monoid M]
[module R M] [module A M] [algebra R A] [is_scalar_tower R A M] [hM : finite R M] :
finite A M :=
begin
rw [finite_def, fg_def] at hM ⊢,
obtain ⟨S, hSfin, hSgen⟩ := hM,
refine ⟨S, hSfin, eq_top_iff.2 _⟩,
have := submodule.span_le_restrict_scalars R A M S,
rw hSgen at this,
exact this
end
variables {R M}
instance prod [hM : finite R M] [hN : finite R N] : finite R (M × N) :=
⟨begin
rw ← submodule.prod_top,
exact submodule.fg_prod hM.1 hN.1
end⟩
lemma equiv [hM : finite R M] (e : M ≃ₗ[R] N) : finite R N :=
of_surjective (e : M →ₗ[R] N) e.surjective
section algebra
lemma trans {R : Type*} (A B : Type*) [comm_semiring R] [comm_semiring A] [algebra R A]
[semiring B] [algebra R B] [algebra A B] [is_scalar_tower R A B] :
∀ [finite R A] [finite A B], finite R B
| ⟨⟨s, hs⟩⟩ ⟨⟨t, ht⟩⟩ := ⟨submodule.fg_def.2
⟨set.image2 (•) (↑s : set A) (↑t : set B),
set.finite.image2 _ s.finite_to_set t.finite_to_set,
by rw [set.image2_smul, submodule.span_smul hs (↑t : set B),
ht, submodule.restrict_scalars_top]⟩⟩
@[priority 100] -- see Note [lower instance priority]
instance finite_type {R : Type*} (A : Type*) [comm_semiring R] [comm_semiring A]
[algebra R A] [hRA : finite R A] : algebra.finite_type R A :=
⟨subalgebra.fg_of_submodule_fg hRA.1⟩
end algebra
end finite
end module
namespace algebra
variables [comm_ring R] [comm_ring A] [algebra R A] [comm_ring B] [algebra R B]
variables [add_comm_group M] [module R M]
variables [add_comm_group N] [module R N]
namespace finite_type
lemma self : finite_type R R := ⟨⟨{1}, subsingleton.elim _ _⟩⟩
section
open_locale classical
protected lemma mv_polynomial (ι : Type*) [fintype ι] : finite_type R (mv_polynomial ι R) :=
⟨⟨finset.univ.image mv_polynomial.X, begin
rw eq_top_iff, refine λ p, mv_polynomial.induction_on' p
(λ u x, finsupp.induction u (subalgebra.algebra_map_mem _ x)
(λ i n f hif hn ih, _))
(λ p q ihp ihq, subalgebra.add_mem _ ihp ihq),
rw [add_comm, mv_polynomial.monomial_add_single],
exact subalgebra.mul_mem _ ih
(subalgebra.pow_mem _ (subset_adjoin $ finset.mem_image_of_mem _ $ finset.mem_univ _) _)
end⟩⟩
end
lemma of_restrict_scalars_finite_type [algebra A B] [is_scalar_tower R A B] [hB : finite_type R B] :
finite_type A B :=
begin
obtain ⟨S, hS⟩ := hB.out,
refine ⟨⟨S, eq_top_iff.2 (λ b, _)⟩⟩,
have le : adjoin R (S : set B) ≤ subalgebra.restrict_scalars R (adjoin A S),
{ apply (algebra.adjoin_le _ : _ ≤ (subalgebra.restrict_scalars R (adjoin A ↑S))),
simp only [subalgebra.coe_restrict_scalars],
exact algebra.subset_adjoin, },
exact le (eq_top_iff.1 hS b),
end
variables {R A B}
lemma of_surjective (hRA : finite_type R A) (f : A →ₐ[R] B) (hf : surjective f) :
finite_type R B :=
⟨begin
convert subalgebra.fg_map _ f hRA.1,
simpa only [map_top f, @eq_comm _ ⊤, eq_top_iff, alg_hom.mem_range] using hf
end⟩
lemma equiv (hRA : finite_type R A) (e : A ≃ₐ[R] B) : finite_type R B :=
hRA.of_surjective e e.surjective
lemma trans [algebra A B] [is_scalar_tower R A B] (hRA : finite_type R A) (hAB : finite_type A B) :
finite_type R B :=
⟨fg_trans' hRA.1 hAB.1⟩
/-- An algebra is finitely generated if and only if it is a quotient
of a polynomial ring whose variables are indexed by a finset. -/
lemma iff_quotient_mv_polynomial : (finite_type R A) ↔ ∃ (s : finset A)
(f : (mv_polynomial {x // x ∈ s} R) →ₐ[R] A), (surjective f) :=
begin
split,
{ rintro ⟨s, hs⟩,
use [s, mv_polynomial.aeval coe],
intro x,
have hrw : (↑s : set A) = (λ (x : A), x ∈ s.val) := rfl,
rw [← set.mem_range, ← alg_hom.coe_range, ← adjoin_eq_range, ← hrw, hs],
exact set.mem_univ x },
{ rintro ⟨s, ⟨f, hsur⟩⟩,
exact finite_type.of_surjective (finite_type.mv_polynomial R {x // x ∈ s}) f hsur }
end
/-- An algebra is finitely generated if and only if it is a quotient
of a polynomial ring whose variables are indexed by a fintype. -/
lemma iff_quotient_mv_polynomial' : (finite_type R A) ↔ ∃ (ι : Type u_2) (_ : fintype ι)
(f : (mv_polynomial ι R) →ₐ[R] A), (surjective f) :=
begin
split,
{ rw iff_quotient_mv_polynomial,
rintro ⟨s, ⟨f, hsur⟩⟩,
use [{x // x ∈ s}, by apply_instance, f, hsur] },
{ rintro ⟨ι, ⟨hfintype, ⟨f, hsur⟩⟩⟩,
letI : fintype ι := hfintype,
exact finite_type.of_surjective (finite_type.mv_polynomial R ι) f hsur }
end
/-- An algebra is finitely generated if and only if it is a quotient of a polynomial ring in `n`
variables. -/
lemma iff_quotient_mv_polynomial'' : (finite_type R A) ↔ ∃ (n : ℕ)
(f : (mv_polynomial (fin n) R) →ₐ[R] A), (surjective f) :=
begin
split,
{ rw iff_quotient_mv_polynomial',
rintro ⟨ι, hfintype, ⟨f, hsur⟩⟩,
letI := hfintype,
obtain ⟨equiv⟩ := @fintype.trunc_equiv_fin ι (classical.dec_eq ι) hfintype,
replace equiv := mv_polynomial.rename_equiv R equiv,
exact ⟨fintype.card ι, alg_hom.comp f equiv.symm, function.surjective.comp hsur
(alg_equiv.symm equiv).surjective⟩ },
{ rintro ⟨n, ⟨f, hsur⟩⟩,
exact finite_type.of_surjective (finite_type.mv_polynomial R (fin n)) f hsur }
end
/-- A finitely presented algebra is of finite type. -/
lemma of_finite_presentation : finite_presentation R A → finite_type R A :=
begin
rintro ⟨n, f, hf⟩,
apply (finite_type.iff_quotient_mv_polynomial'').2,
exact ⟨n, f, hf.1⟩
end
instance prod [hA : finite_type R A] [hB : finite_type R B] : finite_type R (A × B) :=
⟨begin
rw ← subalgebra.prod_top,
exact subalgebra.fg_prod hA.1 hB.1
end⟩
end finite_type
namespace finite_presentation
variables {R A B}
/-- An algebra over a Noetherian ring is finitely generated if and only if it is finitely
presented. -/
lemma of_finite_type [is_noetherian_ring R] : finite_type R A ↔ finite_presentation R A :=
begin
refine ⟨λ h, _, algebra.finite_type.of_finite_presentation⟩,
obtain ⟨n, f, hf⟩ := algebra.finite_type.iff_quotient_mv_polynomial''.1 h,
refine ⟨n, f, hf, _⟩,
have hnoet : is_noetherian_ring (mv_polynomial (fin n) R) := by apply_instance,
replace hnoet := (is_noetherian_ring_iff.1 hnoet).noetherian,
exact hnoet f.to_ring_hom.ker,
end
/-- If `e : A ≃ₐ[R] B` and `A` is finitely presented, then so is `B`. -/
lemma equiv (hfp : finite_presentation R A) (e : A ≃ₐ[R] B) : finite_presentation R B :=
begin
obtain ⟨n, f, hf⟩ := hfp,
use [n, alg_hom.comp ↑e f],
split,
{ exact function.surjective.comp e.surjective hf.1 },
suffices hker : (alg_hom.comp ↑e f).to_ring_hom.ker = f.to_ring_hom.ker,
{ rw hker, exact hf.2 },
{ have hco : (alg_hom.comp ↑e f).to_ring_hom = ring_hom.comp ↑e.to_ring_equiv f.to_ring_hom,
{ have h : (alg_hom.comp ↑e f).to_ring_hom = e.to_alg_hom.to_ring_hom.comp f.to_ring_hom := rfl,
have h1 : ↑(e.to_ring_equiv) = (e.to_alg_hom).to_ring_hom := rfl,
rw [h, h1] },
rw [ring_hom.ker_eq_comap_bot, hco, ← ideal.comap_comap, ← ring_hom.ker_eq_comap_bot,
ring_hom.ker_coe_equiv (alg_equiv.to_ring_equiv e), ring_hom.ker_eq_comap_bot] }
end
variable (R)
/-- The ring of polynomials in finitely many variables is finitely presented. -/
protected lemma mv_polynomial (ι : Type u_2) [fintype ι] :
finite_presentation R (mv_polynomial ι R) :=
begin
obtain ⟨equiv⟩ := @fintype.trunc_equiv_fin ι (classical.dec_eq ι) _,
replace equiv := mv_polynomial.rename_equiv R equiv,
refine ⟨_, alg_equiv.to_alg_hom equiv.symm, _⟩,
split,
{ exact (alg_equiv.symm equiv).surjective },
suffices hinj : function.injective equiv.symm.to_alg_hom.to_ring_hom,
{ rw [(ring_hom.injective_iff_ker_eq_bot _).1 hinj],
exact submodule.fg_bot },
exact (alg_equiv.symm equiv).injective
end
/-- `R` is finitely presented as `R`-algebra. -/
lemma self : finite_presentation R R :=
equiv (finite_presentation.mv_polynomial R pempty) (mv_polynomial.is_empty_alg_equiv R pempty)
variable {R}
/-- The quotient of a finitely presented algebra by a finitely generated ideal is finitely
presented. -/
protected lemma quotient {I : ideal A} (h : submodule.fg I) (hfp : finite_presentation R A) :
finite_presentation R I.quotient :=
begin
obtain ⟨n, f, hf⟩ := hfp,
refine ⟨n, (ideal.quotient.mkₐ R I).comp f, _, _⟩,
{ exact (ideal.quotient.mkₐ_surjective R I).comp hf.1 },
{ refine submodule.fg_ker_ring_hom_comp _ _ hf.2 _ hf.1,
simp [h] }
end
/-- If `f : A →ₐ[R] B` is surjective with finitely generated kernel and `A` is finitely presented,
then so is `B`. -/
lemma of_surjective {f : A →ₐ[R] B} (hf : function.surjective f) (hker : f.to_ring_hom.ker.fg)
(hfp : finite_presentation R A) : finite_presentation R B :=
equiv (hfp.quotient hker) (ideal.quotient_ker_alg_equiv_of_surjective hf)
lemma iff : finite_presentation R A ↔
∃ n (I : ideal (mv_polynomial (fin n) R)) (e : I.quotient ≃ₐ[R] A), I.fg :=
begin
split,
{ rintros ⟨n, f, hf⟩,
exact ⟨n, f.to_ring_hom.ker, ideal.quotient_ker_alg_equiv_of_surjective hf.1, hf.2⟩ },
{ rintros ⟨n, I, e, hfg⟩,
exact equiv ((finite_presentation.mv_polynomial R _).quotient hfg) e }
end
/-- An algebra is finitely presented if and only if it is a quotient of a polynomial ring whose
variables are indexed by a fintype by a finitely generated ideal. -/
lemma iff_quotient_mv_polynomial' : finite_presentation R A ↔ ∃ (ι : Type u_2) (_ : fintype ι)
(f : mv_polynomial ι R →ₐ[R] A), surjective f ∧ f.to_ring_hom.ker.fg :=
begin
split,
{ rintro ⟨n, f, hfs, hfk⟩,
set ulift_var := mv_polynomial.rename_equiv R equiv.ulift,
refine ⟨ulift (fin n), infer_instance, f.comp ulift_var.to_alg_hom,
hfs.comp ulift_var.surjective,
submodule.fg_ker_ring_hom_comp _ _ _ hfk ulift_var.surjective⟩,
convert submodule.fg_bot,
exact ring_hom.ker_coe_equiv ulift_var.to_ring_equiv, },
{ rintro ⟨ι, hfintype, f, hf⟩,
haveI : fintype ι := hfintype,
obtain ⟨equiv⟩ := @fintype.trunc_equiv_fin ι (classical.dec_eq ι) _,
replace equiv := mv_polynomial.rename_equiv R equiv,
refine ⟨fintype.card ι, f.comp equiv.symm,
hf.1.comp (alg_equiv.symm equiv).surjective,
submodule.fg_ker_ring_hom_comp _ f _ hf.2 equiv.symm.surjective⟩,
convert submodule.fg_bot,
exact ring_hom.ker_coe_equiv (equiv.symm.to_ring_equiv), }
end
/-- If `A` is a finitely presented `R`-algebra, then `mv_polynomial (fin n) A` is finitely presented
as `R`-algebra. -/
lemma mv_polynomial_of_finite_presentation (hfp : finite_presentation R A) (ι : Type*)
[fintype ι] : finite_presentation R (mv_polynomial ι A) :=
begin
classical,
obtain ⟨m, I, e, hfg⟩ := iff.1 hfp,
set ι' := fin m,
refine equiv _ (mv_polynomial.map_alg_equiv ι e),
have : finite_presentation R (mv_polynomial ι (mv_polynomial ι' R)),
{ let := mv_polynomial.sum_alg_equiv R ι ι',
refine (finite_presentation.mv_polynomial R (ι ⊕ ι')).equiv this, },
-- typeclass inference seems to struggle to find this path
letI : is_scalar_tower R (mv_polynomial ι' R) (mv_polynomial ι' R) :=
is_scalar_tower.right,
letI : is_scalar_tower R
(mv_polynomial ι' R) (mv_polynomial ι (mv_polynomial ι' R)) :=
mv_polynomial.is_scalar_tower,
refine equiv _ ((@mv_polynomial.quotient_equiv_quotient_mv_polynomial
_ ι _ I).restrict_scalars R).symm,
refine this.quotient (submodule.map_fg_of_fg I hfg _),
end
/-- If `A` is an `R`-algebra and `S` is an `A`-algebra, both finitely presented, then `S` is
finitely presented as `R`-algebra. -/
lemma trans [algebra A B] [is_scalar_tower R A B] (hfpA : finite_presentation R A)
(hfpB : finite_presentation A B) : finite_presentation R B :=
begin
obtain ⟨n, I, e, hfg⟩ := iff.1 hfpB,
exact equiv ((mv_polynomial_of_finite_presentation hfpA _).quotient hfg) (e.restrict_scalars R)
end
end finite_presentation
end algebra
end module_and_algebra
namespace ring_hom
variables {A B C : Type*} [comm_ring A] [comm_ring B] [comm_ring C]
/-- A ring morphism `A →+* B` is `finite` if `B` is finitely generated as `A`-module. -/
def finite (f : A →+* B) : Prop :=
by letI : algebra A B := f.to_algebra; exact module.finite A B
/-- A ring morphism `A →+* B` is of `finite_type` if `B` is finitely generated as `A`-algebra. -/
def finite_type (f : A →+* B) : Prop := @algebra.finite_type A B _ _ f.to_algebra
/-- A ring morphism `A →+* B` is of `finite_presentation` if `B` is finitely presented as
`A`-algebra. -/
def finite_presentation (f : A →+* B) : Prop := @algebra.finite_presentation A B _ _ f.to_algebra
namespace finite
variables (A)
lemma id : finite (ring_hom.id A) := module.finite.self A
variables {A}
lemma of_surjective (f : A →+* B) (hf : surjective f) : f.finite :=
begin
letI := f.to_algebra,
exact module.finite.of_surjective (algebra.of_id A B).to_linear_map hf
end
lemma comp {g : B →+* C} {f : A →+* B} (hg : g.finite) (hf : f.finite) : (g.comp f).finite :=
@module.finite.trans A B C _ _ f.to_algebra _ (g.comp f).to_algebra g.to_algebra
begin
fconstructor,
intros a b c,
simp only [algebra.smul_def, ring_hom.map_mul, mul_assoc],
refl
end
hf hg
lemma finite_type {f : A →+* B} (hf : f.finite) : finite_type f :=
@module.finite.finite_type _ _ _ _ f.to_algebra hf
lemma of_comp_finite {f : A →+* B} {g : B →+* C} (h : (g.comp f).finite) : g.finite :=
begin
letI := f.to_algebra,
letI := g.to_algebra,
letI := (g.comp f).to_algebra,
letI : is_scalar_tower A B C := restrict_scalars.is_scalar_tower A B C,
letI : module.finite A C := h,
exact module.finite.of_restrict_scalars_finite A B C
end
end finite
namespace finite_type
variables (A)
lemma id : finite_type (ring_hom.id A) := algebra.finite_type.self A
variables {A}
lemma comp_surjective {f : A →+* B} {g : B →+* C} (hf : f.finite_type) (hg : surjective g) :
(g.comp f).finite_type :=
@algebra.finite_type.of_surjective A B C _ _ f.to_algebra _ (g.comp f).to_algebra hf
{ to_fun := g, commutes' := λ a, rfl, .. g } hg
lemma of_surjective (f : A →+* B) (hf : surjective f) : f.finite_type :=
by { rw ← f.comp_id, exact (id A).comp_surjective hf }
lemma comp {g : B →+* C} {f : A →+* B} (hg : g.finite_type) (hf : f.finite_type) :
(g.comp f).finite_type :=
@algebra.finite_type.trans A B C _ _ f.to_algebra _ (g.comp f).to_algebra g.to_algebra
begin
fconstructor,
intros a b c,
simp only [algebra.smul_def, ring_hom.map_mul, mul_assoc],
refl
end
hf hg
lemma of_finite_presentation {f : A →+* B} (hf : f.finite_presentation) : f.finite_type :=
@algebra.finite_type.of_finite_presentation A B _ _ f.to_algebra hf
lemma of_comp_finite_type {f : A →+* B} {g : B →+* C} (h : (g.comp f).finite_type) :
g.finite_type :=
begin
letI := f.to_algebra,
letI := g.to_algebra,
letI := (g.comp f).to_algebra,
letI : is_scalar_tower A B C := restrict_scalars.is_scalar_tower A B C,
letI : algebra.finite_type A C := h,
exact algebra.finite_type.of_restrict_scalars_finite_type A B C
end
end finite_type
namespace finite_presentation
variables (A)
lemma id : finite_presentation (ring_hom.id A) := algebra.finite_presentation.self A
variables {A}
lemma comp_surjective {f : A →+* B} {g : B →+* C} (hf : f.finite_presentation) (hg : surjective g)
(hker : g.ker.fg) : (g.comp f).finite_presentation :=
@algebra.finite_presentation.of_surjective A B C _ _ f.to_algebra _ (g.comp f).to_algebra
{ to_fun := g, commutes' := λ a, rfl, .. g } hg hker hf
lemma of_surjective (f : A →+* B) (hf : surjective f) (hker : f.ker.fg) : f.finite_presentation :=
by { rw ← f.comp_id, exact (id A).comp_surjective hf hker}
lemma of_finite_type [is_noetherian_ring A] {f : A →+* B} : f.finite_type ↔ f.finite_presentation :=
@algebra.finite_presentation.of_finite_type A B _ _ f.to_algebra _
lemma comp {g : B →+* C} {f : A →+* B} (hg : g.finite_presentation) (hf : f.finite_presentation) :
(g.comp f).finite_presentation :=
@algebra.finite_presentation.trans A B C _ _ f.to_algebra _ (g.comp f).to_algebra g.to_algebra
{ smul_assoc := λ a b c, begin
simp only [algebra.smul_def, ring_hom.map_mul, mul_assoc],
refl
end }
hf hg
end finite_presentation
end ring_hom
namespace alg_hom
variables {R A B C : Type*} [comm_ring R]
variables [comm_ring A] [comm_ring B] [comm_ring C]
variables [algebra R A] [algebra R B] [algebra R C]
/-- An algebra morphism `A →ₐ[R] B` is finite if it is finite as ring morphism.
In other words, if `B` is finitely generated as `A`-module. -/
def finite (f : A →ₐ[R] B) : Prop := f.to_ring_hom.finite
/-- An algebra morphism `A →ₐ[R] B` is of `finite_type` if it is of finite type as ring morphism.
In other words, if `B` is finitely generated as `A`-algebra. -/
def finite_type (f : A →ₐ[R] B) : Prop := f.to_ring_hom.finite_type
/-- An algebra morphism `A →ₐ[R] B` is of `finite_presentation` if it is of finite presentation as
ring morphism. In other words, if `B` is finitely presented as `A`-algebra. -/
def finite_presentation (f : A →ₐ[R] B) : Prop := f.to_ring_hom.finite_presentation
namespace finite
variables (R A)
lemma id : finite (alg_hom.id R A) := ring_hom.finite.id A
variables {R A}
lemma comp {g : B →ₐ[R] C} {f : A →ₐ[R] B} (hg : g.finite) (hf : f.finite) : (g.comp f).finite :=
ring_hom.finite.comp hg hf
lemma of_surjective (f : A →ₐ[R] B) (hf : surjective f) : f.finite :=
ring_hom.finite.of_surjective f hf
lemma finite_type {f : A →ₐ[R] B} (hf : f.finite) : finite_type f :=
ring_hom.finite.finite_type hf
lemma of_comp_finite {f : A →ₐ[R] B} {g : B →ₐ[R] C} (h : (g.comp f).finite) : g.finite :=
ring_hom.finite.of_comp_finite h
end finite
namespace finite_type
variables (R A)
lemma id : finite_type (alg_hom.id R A) := ring_hom.finite_type.id A
variables {R A}
lemma comp {g : B →ₐ[R] C} {f : A →ₐ[R] B} (hg : g.finite_type) (hf : f.finite_type) :
(g.comp f).finite_type :=
ring_hom.finite_type.comp hg hf
lemma comp_surjective {f : A →ₐ[R] B} {g : B →ₐ[R] C} (hf : f.finite_type) (hg : surjective g) :
(g.comp f).finite_type :=
ring_hom.finite_type.comp_surjective hf hg
lemma of_surjective (f : A →ₐ[R] B) (hf : surjective f) : f.finite_type :=
ring_hom.finite_type.of_surjective f hf
lemma of_finite_presentation {f : A →ₐ[R] B} (hf : f.finite_presentation) : f.finite_type :=
ring_hom.finite_type.of_finite_presentation hf
lemma of_comp_finite_type {f : A →ₐ[R] B} {g : B →ₐ[R] C} (h : (g.comp f).finite_type) :
g.finite_type :=
ring_hom.finite_type.of_comp_finite_type h
end finite_type
namespace finite_presentation
variables (R A)
lemma id : finite_presentation (alg_hom.id R A) := ring_hom.finite_presentation.id A
variables {R A}
lemma comp {g : B →ₐ[R] C} {f : A →ₐ[R] B} (hg : g.finite_presentation)
(hf : f.finite_presentation) : (g.comp f).finite_presentation :=
ring_hom.finite_presentation.comp hg hf
lemma comp_surjective {f : A →ₐ[R] B} {g : B →ₐ[R] C} (hf : f.finite_presentation)
(hg : surjective g) (hker : g.to_ring_hom.ker.fg) : (g.comp f).finite_presentation :=
ring_hom.finite_presentation.comp_surjective hf hg hker
lemma of_surjective (f : A →ₐ[R] B) (hf : surjective f) (hker : f.to_ring_hom.ker.fg) :
f.finite_presentation :=
ring_hom.finite_presentation.of_surjective f hf hker
lemma of_finite_type [is_noetherian_ring A] {f : A →ₐ[R] B} :
f.finite_type ↔ f.finite_presentation :=
ring_hom.finite_presentation.of_finite_type
end finite_presentation
end alg_hom
section monoid_algebra
variables {R : Type*} {M : Type*}
namespace add_monoid_algebra
open algebra add_submonoid submodule
section span
section semiring
variables [comm_semiring R] [add_monoid M]
/-- An element of `add_monoid_algebra R M` is in the subalgebra generated by its support. -/
lemma mem_adjoin_support (f : add_monoid_algebra R M) : f ∈ adjoin R (of' R M '' f.support) :=
begin
suffices : span R (of' R M '' f.support) ≤ (adjoin R (of' R M '' f.support)).to_submodule,
{ exact this (mem_span_support f) },
rw submodule.span_le,
exact subset_adjoin
end
/-- If a set `S` generates, as algebra, `add_monoid_algebra R M`, then the set of supports of
elements of `S` generates `add_monoid_algebra R M`. -/
lemma support_gen_of_gen {S : set (add_monoid_algebra R M)} (hS : algebra.adjoin R S = ⊤) :
algebra.adjoin R (⋃ f ∈ S, (of' R M '' (f.support : set M))) = ⊤ :=
begin
refine le_antisymm le_top _,
rw [← hS, adjoin_le_iff],
intros f hf,
have hincl : of' R M '' f.support ⊆
⋃ (g : add_monoid_algebra R M) (H : g ∈ S), of' R M '' g.support,
{ intros s hs,
exact set.mem_bUnion_iff.2 ⟨f, ⟨hf, hs⟩⟩ },
exact adjoin_mono hincl (mem_adjoin_support f)
end
/-- If a set `S` generates, as algebra, `add_monoid_algebra R M`, then the image of the union of
the supports of elements of `S` generates `add_monoid_algebra R M`. -/
lemma support_gen_of_gen' {S : set (add_monoid_algebra R M)} (hS : algebra.adjoin R S = ⊤) :
algebra.adjoin R (of' R M '' (⋃ f ∈ S, (f.support : set M))) = ⊤ :=
begin
suffices : of' R M '' (⋃ f ∈ S, (f.support : set M)) = ⋃ f ∈ S, (of' R M '' (f.support : set M)),
{ rw this,
exact support_gen_of_gen hS },
simp only [set.image_Union]
end
end semiring
section ring
variables [comm_ring R] [add_comm_monoid M]
/-- If `add_monoid_algebra R M` is of finite type, there there is a `G : finset M` such that its
image generates, as algera, `add_monoid_algebra R M`. -/
lemma exists_finset_adjoin_eq_top [h : finite_type R (add_monoid_algebra R M)] :
∃ G : finset M, algebra.adjoin R (of' R M '' G) = ⊤ :=
begin
unfreezingI { obtain ⟨S, hS⟩ := h },
letI : decidable_eq M := classical.dec_eq M,
use finset.bUnion S (λ f, f.support),
have : (finset.bUnion S (λ f, f.support) : set M) = ⋃ f ∈ S, (f.support : set M),
{ simp only [finset.set_bUnion_coe, finset.coe_bUnion] },
rw [this],
exact support_gen_of_gen' hS
end
/-- The image of an element `m : M` in `add_monoid_algebra R M` belongs the submodule generated by
`S : set M` if and only if `m ∈ S`. -/
lemma of'_mem_span [nontrivial R] {m : M} {S : set M} :
of' R M m ∈ span R (of' R M '' S) ↔ m ∈ S :=
begin
refine ⟨λ h, _, λ h, submodule.subset_span $ set.mem_image_of_mem (of R M) h⟩,
rw [of', ← finsupp.supported_eq_span_single, finsupp.mem_supported,
finsupp.support_single_ne_zero (@one_ne_zero R _ (by apply_instance))] at h,
simpa using h
end
/--If the image of an element `m : M` in `add_monoid_algebra R M` belongs the submodule generated by
the closure of some `S : set M` then `m ∈ closure S`. -/
lemma mem_closure_of_mem_span_closure [nontrivial R] {m : M} {S : set M}
(h : of' R M m ∈ span R (submonoid.closure (of' R M '' S) : set (add_monoid_algebra R M))) :
m ∈ closure S :=
begin
suffices : multiplicative.of_add m ∈ submonoid.closure (multiplicative.to_add ⁻¹' S),
{ simpa [← to_submonoid_closure] },
rw [set.image_congr' (show ∀ x, of' R M x = of R M x, from λ x, of'_eq_of x),
← monoid_hom.map_mclosure] at h,
simpa using of'_mem_span.1 h
end
end ring
end span
variables [add_comm_monoid M]
/-- If a set `S` generates an additive monoid `M`, then the image of `M` generates, as algebra,
`add_monoid_algebra R M`. -/
lemma mv_polynomial_aeval_of_surjective_of_closure [comm_semiring R] {S : set M}
(hS : closure S = ⊤) : function.surjective (mv_polynomial.aeval
(λ (s : S), of' R M ↑s) : mv_polynomial S R → add_monoid_algebra R M) :=
begin
refine λ f, induction_on f (λ m, _) _ _,
{ have : m ∈ closure S := hS.symm ▸ mem_top _,
refine closure_induction this (λ m hm, _) _ _,
{ exact ⟨mv_polynomial.X ⟨m, hm⟩, mv_polynomial.aeval_X _ _⟩ },
{ exact ⟨1, alg_hom.map_one _⟩ },
{ rintro m₁ m₂ ⟨P₁, hP₁⟩ ⟨P₂, hP₂⟩,
exact ⟨P₁ * P₂, by rw [alg_hom.map_mul, hP₁, hP₂, of_apply, of_apply, of_apply,
single_mul_single, one_mul]; refl⟩ } },
{ rintro f g ⟨P, rfl⟩ ⟨Q, rfl⟩,
exact ⟨P + Q, alg_hom.map_add _ _ _⟩ },
{ rintro r f ⟨P, rfl⟩,
exact ⟨r • P, alg_hom.map_smul _ _ _⟩ }
end
variables (R M)
/-- If an additive monoid `M` is finitely generated then `add_monoid_algebra R M` is of finite
type. -/
instance finite_type_of_fg [comm_ring R] [h : add_monoid.fg M] :
finite_type R (add_monoid_algebra R M) :=
begin
obtain ⟨S, hS⟩ := h.out,
exact (finite_type.mv_polynomial R (S : set M)).of_surjective (mv_polynomial.aeval
(λ (s : (S : set M)), of' R M ↑s)) (mv_polynomial_aeval_of_surjective_of_closure hS)
end
variables {R M}
/-- An additive monoid `M` is finitely generated if and only if `add_monoid_algebra R M` is of
finite type. -/
lemma finite_type_iff_fg [comm_ring R] [nontrivial R] :
finite_type R (add_monoid_algebra R M) ↔ add_monoid.fg M :=
begin
refine ⟨λ h, _, λ h, @add_monoid_algebra.finite_type_of_fg _ _ _ _ h⟩,
obtain ⟨S, hS⟩ := @exists_finset_adjoin_eq_top R M _ _ h,
refine add_monoid.fg_def.2 ⟨S, (eq_top_iff' _).2 (λ m, _)⟩,
have hm : of' R M m ∈ (adjoin R (of' R M '' ↑S)).to_submodule,
{ simp only [hS, top_to_submodule, submodule.mem_top], },
rw [adjoin_eq_span] at hm,
exact mem_closure_of_mem_span_closure hm
end
/-- If `add_monoid_algebra R M` is of finite type then `M` is finitely generated. -/
lemma fg_of_finite_type [comm_ring R] [nontrivial R] [h : finite_type R (add_monoid_algebra R M)] :
add_monoid.fg M :=
finite_type_iff_fg.1 h
/-- An additive group `G` is finitely generated if and only if `add_monoid_algebra R G` is of
finite type. -/
lemma finite_type_iff_group_fg {G : Type*} [add_comm_group G] [comm_ring R] [nontrivial R] :
finite_type R (add_monoid_algebra R G) ↔ add_group.fg G :=
by simpa [add_group.fg_iff_add_monoid.fg] using finite_type_iff_fg
end add_monoid_algebra
namespace monoid_algebra
open algebra submonoid submodule
section span
section semiring
variables [comm_semiring R] [monoid M]
/-- An element of `monoid_algebra R M` is in the subalgebra generated by its support. -/
lemma mem_adjoint_support (f : monoid_algebra R M) : f ∈ adjoin R (of R M '' f.support) :=
begin
suffices : span R (of R M '' f.support) ≤ (adjoin R (of R M '' f.support)).to_submodule,
{ exact this (mem_span_support f) },
rw submodule.span_le,
exact subset_adjoin
end
/-- If a set `S` generates, as algebra, `monoid_algebra R M`, then the set of supports of elements
of `S` generates `monoid_algebra R M`. -/
lemma support_gen_of_gen {S : set (monoid_algebra R M)} (hS : algebra.adjoin R S = ⊤) :
algebra.adjoin R (⋃ f ∈ S, (of R M '' (f.support : set M))) = ⊤ :=
begin
refine le_antisymm le_top _,
rw [← hS, adjoin_le_iff],
intros f hf,
have hincl : (of R M) '' f.support ⊆
⋃ (g : monoid_algebra R M) (H : g ∈ S), of R M '' g.support,
{ intros s hs,
exact set.mem_bUnion_iff.2 ⟨f, ⟨hf, hs⟩⟩ },
exact adjoin_mono hincl (mem_adjoint_support f)
end
/-- If a set `S` generates, as algebra, `monoid_algebra R M`, then the image of the union of the
supports of elements of `S` generates `monoid_algebra R M`. -/
lemma support_gen_of_gen' {S : set (monoid_algebra R M)} (hS : algebra.adjoin R S = ⊤) :
algebra.adjoin R (of R M '' (⋃ f ∈ S, (f.support : set M))) = ⊤ :=
begin
suffices : of R M '' (⋃ f ∈ S, (f.support : set M)) = ⋃ f ∈ S, (of R M '' (f.support : set M)),
{ rw this,
exact support_gen_of_gen hS },
simp only [set.image_Union]
end
end semiring
section ring
variables [comm_ring R] [comm_monoid M]
/-- If `monoid_algebra R M` is of finite type, there there is a `G : finset M` such that its image
generates, as algera, `monoid_algebra R M`. -/
lemma exists_finset_adjoin_eq_top [h :finite_type R (monoid_algebra R M)] :
∃ G : finset M, algebra.adjoin R (of R M '' G) = ⊤ :=
begin
unfreezingI { obtain ⟨S, hS⟩ := h },
letI : decidable_eq M := classical.dec_eq M,
use finset.bUnion S (λ f, f.support),
have : (finset.bUnion S (λ f, f.support) : set M) = ⋃ f ∈ S, (f.support : set M),
{ simp only [finset.set_bUnion_coe, finset.coe_bUnion] },
rw [this],
exact support_gen_of_gen' hS
end
/-- The image of an element `m : M` in `monoid_algebra R M` belongs the submodule generated by
`S : set M` if and only if `m ∈ S`. -/
lemma of_mem_span_of_iff [nontrivial R] {m : M} {S : set M} :
of R M m ∈ span R (of R M '' S) ↔ m ∈ S :=
begin
refine ⟨λ h, _, λ h, submodule.subset_span $ set.mem_image_of_mem (of R M) h⟩,
rw [of, monoid_hom.coe_mk, ← finsupp.supported_eq_span_single, finsupp.mem_supported,
finsupp.support_single_ne_zero (@one_ne_zero R _ (by apply_instance))] at h,
simpa using h
end
/--If the image of an element `m : M` in `monoid_algebra R M` belongs the submodule generated by the
closure of some `S : set M` then `m ∈ closure S`. -/
lemma mem_closure_of_mem_span_closure [nontrivial R] {m : M} {S : set M}
(h : of R M m ∈ span R (submonoid.closure (of R M '' S) : set (monoid_algebra R M))) :
m ∈ closure S :=
begin
rw ← monoid_hom.map_mclosure at h,
simpa using of_mem_span_of_iff.1 h
end
end ring
end span
variables [comm_monoid M]
/-- If a set `S` generates a monoid `M`, then the image of `M` generates, as algebra,
`monoid_algebra R M`. -/
lemma mv_polynomial_aeval_of_surjective_of_closure [comm_semiring R] {S : set M}
(hS : closure S = ⊤) : function.surjective (mv_polynomial.aeval
(λ (s : S), of R M ↑s) : mv_polynomial S R → monoid_algebra R M) :=
begin
refine λ f, induction_on f (λ m, _) _ _,
{ have : m ∈ closure S := hS.symm ▸ mem_top _,
refine closure_induction this (λ m hm, _) _ _,
{ exact ⟨mv_polynomial.X ⟨m, hm⟩, mv_polynomial.aeval_X _ _⟩ },
{ exact ⟨1, alg_hom.map_one _⟩ },
{ rintro m₁ m₂ ⟨P₁, hP₁⟩ ⟨P₂, hP₂⟩,
exact ⟨P₁ * P₂, by rw [alg_hom.map_mul, hP₁, hP₂, of_apply, of_apply, of_apply,
single_mul_single, one_mul]⟩ } },
{ rintro f g ⟨P, rfl⟩ ⟨Q, rfl⟩,
exact ⟨P + Q, alg_hom.map_add _ _ _⟩ },
{ rintro r f ⟨P, rfl⟩,
exact ⟨r • P, alg_hom.map_smul _ _ _⟩ }
end
/-- If a monoid `M` is finitely generated then `monoid_algebra R M` is of finite type. -/
instance finite_type_of_fg [comm_ring R] [monoid.fg M] : finite_type R (monoid_algebra R M) :=
(add_monoid_algebra.finite_type_of_fg R (additive M)).equiv (to_additive_alg_equiv R M).symm
/-- A monoid `M` is finitely generated if and only if `monoid_algebra R M` is of finite type. -/
lemma finite_type_iff_fg [comm_ring R] [nontrivial R] :
finite_type R (monoid_algebra R M) ↔ monoid.fg M :=
⟨λ h, monoid.fg_iff_add_fg.2 $ add_monoid_algebra.finite_type_iff_fg.1 $ h.equiv $
to_additive_alg_equiv R M, λ h, @monoid_algebra.finite_type_of_fg _ _ _ _ h⟩
/-- If `monoid_algebra R M` is of finite type then `M` is finitely generated. -/
lemma fg_of_finite_type [comm_ring R] [nontrivial R] [h : finite_type R (monoid_algebra R M)] :
monoid.fg M :=
finite_type_iff_fg.1 h
/-- A group `G` is finitely generated if and only if `add_monoid_algebra R G` is of finite type. -/
lemma finite_type_iff_group_fg {G : Type*} [comm_group G] [comm_ring R] [nontrivial R] :
finite_type R (monoid_algebra R G) ↔ group.fg G :=
by simpa [group.fg_iff_monoid.fg] using finite_type_iff_fg
end monoid_algebra
end monoid_algebra
|
8e9226c4b116e5f18071818823d4a639964d66c6 | 9c1ad797ec8a5eddb37d34806c543602d9a6bf70 | /monoidal_categories/tensor_product.lean | 3dcbe29648c34c0cafd153d73256cfb4e1abcaaf | [] | no_license | timjb/lean-category-theory | 816eefc3a0582c22c05f4ee1c57ed04e57c0982f | 12916cce261d08bb8740bc85e0175b75fb2a60f4 | refs/heads/master | 1,611,078,926,765 | 1,492,080,000,000 | 1,492,080,000,000 | 88,348,246 | 0 | 0 | null | 1,492,262,499,000 | 1,492,262,498,000 | null | UTF-8 | Lean | false | false | 2,903 | lean | -- Copyright (c) 2017 Scott Morrison. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Stephen Morgan, Scott Morrison
import ..products.associator
open tqft.categories
open tqft.categories.functor
open tqft.categories.products
open tqft.categories.natural_transformation
namespace tqft.categories.monoidal_category
universe variables u v
-- TODO can we avoid these @[reducible]s?
@[reducible] definition TensorProduct ( C: Category ) := Functor ( C × C ) C
definition left_associated_triple_tensor { C : Category.{ u v } } ( tensor : TensorProduct C ) : Functor ((C × C) × C) C :=
FunctorComposition (tensor × IdentityFunctor C) tensor
definition right_associated_triple_tensor { C : Category.{ u v } } ( tensor : TensorProduct C ) : Functor (C × (C × C)) C :=
FunctorComposition (IdentityFunctor C × tensor) tensor
@[reducible] definition Associator { C : Category.{u v} } ( tensor : TensorProduct C ) :=
NaturalIsomorphism
(left_associated_triple_tensor tensor)
(FunctorComposition (ProductCategoryAssociator C C C) (right_associated_triple_tensor tensor))
@[reducible] definition RightUnitor { C : Category } ( I : C.Obj ) ( tensor : TensorProduct C ) :=
NaturalIsomorphism
(FunctorComposition (RightInjectionAt I C) tensor)
(IdentityFunctor C)
@[reducible] definition LeftUnitor { C : Category } ( I : C.Obj ) ( tensor : TensorProduct C ) :=
NaturalIsomorphism
(FunctorComposition (LeftInjectionAt I C) tensor)
(IdentityFunctor C)
-- TODO all the let statements cause problems later...
definition Pentagon { C : Category } { tensor : TensorProduct C } ( associator : Associator tensor ) :=
let α ( X Y Z : C.Obj ) := associator ⟨⟨X, Y⟩, Z⟩,
tensorObjects ( X Y : C.Obj ) := tensor.onObjects ⟨X, Y⟩,
tensorMorphisms { W X Y Z : C.Obj } ( f : C.Hom W X ) ( g : C.Hom Y Z ) : C.Hom (tensorObjects W Y) (tensorObjects X Z) := tensor.onMorphisms ⟨f, g⟩ in
∀ W X Y Z : C.Obj,
C.compose (C.compose (tensorMorphisms (α W X Y) (C.identity Z)) (α W (tensorObjects X Y) Z)) (tensorMorphisms (C.identity W) (α X Y Z))
= C.compose (α (tensorObjects W X) Y Z) (α W X (tensorObjects Y Z))
definition Triangle { C : Category } { tensor : TensorProduct C } ( I : C.Obj ) ( left_unitor : LeftUnitor I tensor ) ( right_unitor : RightUnitor I tensor ) ( associator : Associator tensor ) :=
let α ( X Y Z : C.Obj ) := associator ⟨⟨X, Y⟩, Z⟩,
tensorObjects ( X Y : C.Obj ) := tensor.onObjects ⟨X, Y⟩,
tensorMorphisms { W X Y Z : C.Obj } ( f : C.Hom W X ) ( g : C.Hom Y Z ) : C.Hom (tensorObjects W Y) (tensorObjects X Z) := tensor.onMorphisms ⟨f, g⟩ in
∀ X Y : C.Obj,
C.compose (α X I Y) (tensorMorphisms (C.identity X) (left_unitor Y))
= tensorMorphisms (right_unitor X) (C.identity Y)
end tqft.categories.monoidal_category
|
b078f2b195cd1f843bcb2fa7ef221894108579b4 | 05b503addd423dd68145d68b8cde5cd595d74365 | /src/data/int/basic.lean | 7a3be00e15cbc14bbaacd29ffc109292fd3ddc0d | [
"Apache-2.0"
] | permissive | aestriplex/mathlib | 77513ff2b176d74a3bec114f33b519069788811d | e2fa8b2b1b732d7c25119229e3cdfba8370cb00f | refs/heads/master | 1,621,969,960,692 | 1,586,279,279,000 | 1,586,279,279,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 52,157 | lean | /-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
The integers, with addition, multiplication, and subtraction.
-/
import data.nat.basic algebra.char_zero algebra.order_functions
open nat
namespace int
instance : inhabited ℤ := ⟨int.zero⟩
@[simp] lemma default_eq_zero : default ℤ = 0 := rfl
meta instance : has_to_format ℤ := ⟨λ z, to_string z⟩
meta instance : has_reflect ℤ := by tactic.mk_has_reflect_instance
attribute [simp] int.coe_nat_add int.coe_nat_mul int.coe_nat_zero int.coe_nat_one int.coe_nat_succ
attribute [simp] int.of_nat_eq_coe int.bodd
@[simp] theorem add_def {a b : ℤ} : int.add a b = a + b := rfl
@[simp] theorem mul_def {a b : ℤ} : int.mul a b = a * b := rfl
@[simp] theorem coe_nat_mul_neg_succ (m n : ℕ) : (m : ℤ) * -[1+ n] = -(m * succ n) := rfl
@[simp] theorem neg_succ_mul_coe_nat (m n : ℕ) : -[1+ m] * n = -(succ m * n) := rfl
@[simp] theorem neg_succ_mul_neg_succ (m n : ℕ) : -[1+ m] * -[1+ n] = succ m * succ n := rfl
@[simp, elim_cast] theorem coe_nat_le {m n : ℕ} : (↑m : ℤ) ≤ ↑n ↔ m ≤ n := coe_nat_le_coe_nat_iff m n
@[simp, elim_cast] theorem coe_nat_lt {m n : ℕ} : (↑m : ℤ) < ↑n ↔ m < n := coe_nat_lt_coe_nat_iff m n
@[simp, elim_cast] theorem coe_nat_inj' {m n : ℕ} : (↑m : ℤ) = ↑n ↔ m = n := int.coe_nat_eq_coe_nat_iff m n
@[simp] theorem coe_nat_pos {n : ℕ} : (0 : ℤ) < n ↔ 0 < n :=
by rw [← int.coe_nat_zero, coe_nat_lt]
@[simp] theorem coe_nat_eq_zero {n : ℕ} : (n : ℤ) = 0 ↔ n = 0 :=
by rw [← int.coe_nat_zero, coe_nat_inj']
theorem coe_nat_ne_zero {n : ℕ} : (n : ℤ) ≠ 0 ↔ n ≠ 0 :=
not_congr coe_nat_eq_zero
lemma coe_nat_nonneg (n : ℕ) : 0 ≤ (n : ℤ) := coe_nat_le.2 (nat.zero_le _)
lemma coe_nat_ne_zero_iff_pos {n : ℕ} : (n : ℤ) ≠ 0 ↔ 0 < n :=
⟨λ h, nat.pos_of_ne_zero (coe_nat_ne_zero.1 h),
λ h, (ne_of_lt (coe_nat_lt.2 h)).symm⟩
lemma coe_nat_succ_pos (n : ℕ) : 0 < (n.succ : ℤ) := int.coe_nat_pos.2 (succ_pos n)
@[simp, elim_cast] theorem coe_nat_abs (n : ℕ) : abs (n : ℤ) = n :=
abs_of_nonneg (coe_nat_nonneg n)
/- succ and pred -/
/-- Immediate successor of an integer: `succ n = n + 1` -/
def succ (a : ℤ) := a + 1
/-- Immediate predecessor of an integer: `pred n = n - 1` -/
def pred (a : ℤ) := a - 1
theorem nat_succ_eq_int_succ (n : ℕ) : (nat.succ n : ℤ) = int.succ n := rfl
theorem pred_succ (a : ℤ) : pred (succ a) = a := add_sub_cancel _ _
theorem succ_pred (a : ℤ) : succ (pred a) = a := sub_add_cancel _ _
theorem neg_succ (a : ℤ) : -succ a = pred (-a) := neg_add _ _
theorem succ_neg_succ (a : ℤ) : succ (-succ a) = -a :=
by rw [neg_succ, succ_pred]
theorem neg_pred (a : ℤ) : -pred a = succ (-a) :=
by rw [eq_neg_of_eq_neg (neg_succ (-a)).symm, neg_neg]
theorem pred_neg_pred (a : ℤ) : pred (-pred a) = -a :=
by rw [neg_pred, pred_succ]
theorem pred_nat_succ (n : ℕ) : pred (nat.succ n) = n := pred_succ n
theorem neg_nat_succ (n : ℕ) : -(nat.succ n : ℤ) = pred (-n) := neg_succ n
theorem succ_neg_nat_succ (n : ℕ) : succ (-nat.succ n) = -n := succ_neg_succ n
theorem lt_succ_self (a : ℤ) : a < succ a :=
lt_add_of_pos_right _ zero_lt_one
theorem pred_self_lt (a : ℤ) : pred a < a :=
sub_lt_self _ zero_lt_one
theorem add_one_le_iff {a b : ℤ} : a + 1 ≤ b ↔ a < b := iff.rfl
theorem lt_add_one_iff {a b : ℤ} : a < b + 1 ↔ a ≤ b :=
@add_le_add_iff_right _ _ a b 1
theorem sub_one_lt_iff {a b : ℤ} : a - 1 < b ↔ a ≤ b :=
sub_lt_iff_lt_add.trans lt_add_one_iff
theorem le_sub_one_iff {a b : ℤ} : a ≤ b - 1 ↔ a < b :=
le_sub_iff_add_le
@[elab_as_eliminator] protected lemma induction_on {p : ℤ → Prop}
(i : ℤ) (hz : p 0) (hp : ∀i : ℕ, p i → p (i + 1)) (hn : ∀i : ℕ, p (-i) → p (-i - 1)) : p i :=
begin
induction i,
{ induction i,
{ exact hz },
{ exact hp _ i_ih } },
{ have : ∀n:ℕ, p (- n),
{ intro n, induction n,
{ simp [hz] },
{ convert hn _ n_ih using 1, simp [sub_eq_neg_add] } },
exact this (i + 1) }
end
protected def induction_on' {C : ℤ → Sort*} (z : ℤ) (b : ℤ) :
C b → (∀ k, b ≤ k → C k → C (k + 1)) → (∀ k ≤ b, C k → C (k - 1)) → C z :=
λ H0 Hs Hp,
begin
rw ←sub_add_cancel z b,
induction (z - b),
{ induction a with n ih, { rwa [of_nat_zero, zero_add] },
rw [of_nat_succ, add_assoc, add_comm 1 b, ←add_assoc],
exact Hs _ (le_add_of_nonneg_left (of_nat_nonneg _)) ih },
{ induction a with n ih,
{ rw [neg_succ_of_nat_eq, ←of_nat_eq_coe, of_nat_zero, zero_add, neg_add_eq_sub],
exact Hp _ (le_refl _) H0 },
{ rw [neg_succ_of_nat_coe', nat.succ_eq_add_one, ←neg_succ_of_nat_coe, sub_add_eq_add_sub],
exact Hp _ (le_of_lt (add_lt_of_neg_of_le (neg_succ_lt_zero _) (le_refl _))) ih } }
end
/- nat abs -/
attribute [simp] nat_abs nat_abs_of_nat nat_abs_zero nat_abs_one
theorem nat_abs_add_le (a b : ℤ) : nat_abs (a + b) ≤ nat_abs a + nat_abs b :=
begin
have : ∀ (a b : ℕ), nat_abs (sub_nat_nat a (nat.succ b)) ≤ nat.succ (a + b),
{ refine (λ a b : ℕ, sub_nat_nat_elim a b.succ
(λ m n i, n = b.succ → nat_abs i ≤ (m + b).succ) _ _ rfl);
intros i n e,
{ subst e, rw [add_comm _ i, add_assoc],
exact nat.le_add_right i (b.succ + b).succ },
{ apply succ_le_succ,
rw [← succ_inj e, ← add_assoc, add_comm],
apply nat.le_add_right } },
cases a; cases b with b b; simp [nat_abs, nat.succ_add];
try {refl}; [skip, rw add_comm a b]; apply this
end
theorem nat_abs_neg_of_nat (n : ℕ) : nat_abs (neg_of_nat n) = n :=
by cases n; refl
theorem nat_abs_mul (a b : ℤ) : nat_abs (a * b) = (nat_abs a) * (nat_abs b) :=
by cases a; cases b; simp only [(*), int.mul, nat_abs_neg_of_nat, eq_self_iff_true, int.nat_abs]
@[simp] lemma nat_abs_mul_self' (a : ℤ) : (nat_abs a * nat_abs a : ℤ) = a * a :=
by rw [← int.coe_nat_mul, nat_abs_mul_self]
theorem neg_succ_of_nat_eq' (m : ℕ) : -[1+ m] = -m - 1 :=
by simp [neg_succ_of_nat_eq, sub_eq_neg_add]
lemma nat_abs_ne_zero_of_ne_zero {z : ℤ} (hz : z ≠ 0) : z.nat_abs ≠ 0 :=
λ h, hz $ int.eq_zero_of_nat_abs_eq_zero h
@[simp] lemma nat_abs_eq_zero {a : ℤ} : a.nat_abs = 0 ↔ a = 0 :=
⟨int.eq_zero_of_nat_abs_eq_zero, λ h, h.symm ▸ rfl⟩
/- / -/
@[simp] theorem of_nat_div (m n : ℕ) : of_nat (m / n) = (of_nat m) / (of_nat n) := rfl
@[simp, move_cast] theorem coe_nat_div (m n : ℕ) : ((m / n : ℕ) : ℤ) = m / n := rfl
theorem neg_succ_of_nat_div (m : ℕ) {b : ℤ} (H : 0 < b) :
-[1+m] / b = -(m / b + 1) :=
match b, eq_succ_of_zero_lt H with ._, ⟨n, rfl⟩ := rfl end
@[simp] protected theorem div_neg : ∀ (a b : ℤ), a / -b = -(a / b)
| (m : ℕ) 0 := show of_nat (m / 0) = -(m / 0 : ℕ), by rw nat.div_zero; refl
| (m : ℕ) (n+1:ℕ) := rfl
| 0 -[1+ n] := rfl
| (m+1:ℕ) -[1+ n] := (neg_neg _).symm
| -[1+ m] 0 := rfl
| -[1+ m] (n+1:ℕ) := rfl
| -[1+ m] -[1+ n] := rfl
theorem div_of_neg_of_pos {a b : ℤ} (Ha : a < 0) (Hb : 0 < b) : a / b = -((-a - 1) / b + 1) :=
match a, b, eq_neg_succ_of_lt_zero Ha, eq_succ_of_zero_lt Hb with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩ :=
by change (- -[1+ m] : ℤ) with (m+1 : ℤ); rw add_sub_cancel; refl
end
protected theorem div_nonneg {a b : ℤ} (Ha : 0 ≤ a) (Hb : 0 ≤ b) : 0 ≤ a / b :=
match a, b, eq_coe_of_zero_le Ha, eq_coe_of_zero_le Hb with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩ := coe_zero_le _
end
protected theorem div_nonpos {a b : ℤ} (Ha : 0 ≤ a) (Hb : b ≤ 0) : a / b ≤ 0 :=
nonpos_of_neg_nonneg $ by rw [← int.div_neg]; exact int.div_nonneg Ha (neg_nonneg_of_nonpos Hb)
theorem div_neg' {a b : ℤ} (Ha : a < 0) (Hb : 0 < b) : a / b < 0 :=
match a, b, eq_neg_succ_of_lt_zero Ha, eq_succ_of_zero_lt Hb with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩ := neg_succ_lt_zero _
end
-- Will be generalized to Euclidean domains.
protected theorem zero_div : ∀ (b : ℤ), 0 / b = 0
| 0 := rfl
| (n+1:ℕ) := rfl
| -[1+ n] := rfl
local attribute [simp] -- Will be generalized to Euclidean domains.
protected theorem div_zero : ∀ (a : ℤ), a / 0 = 0
| 0 := rfl
| (n+1:ℕ) := rfl
| -[1+ n] := rfl
@[simp] protected theorem div_one : ∀ (a : ℤ), a / 1 = a
| 0 := rfl
| (n+1:ℕ) := congr_arg of_nat (nat.div_one _)
| -[1+ n] := congr_arg neg_succ_of_nat (nat.div_one _)
theorem div_eq_zero_of_lt {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < b) : a / b = 0 :=
match a, b, eq_coe_of_zero_le H1, eq_succ_of_zero_lt (lt_of_le_of_lt H1 H2), H2 with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩, H2 :=
congr_arg of_nat $ nat.div_eq_of_lt $ lt_of_coe_nat_lt_coe_nat H2
end
theorem div_eq_zero_of_lt_abs {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < abs b) : a / b = 0 :=
match b, abs b, abs_eq_nat_abs b, H2 with
| (n : ℕ), ._, rfl, H2 := div_eq_zero_of_lt H1 H2
| -[1+ n], ._, rfl, H2 := neg_inj $ by rw [← int.div_neg]; exact div_eq_zero_of_lt H1 H2
end
protected theorem add_mul_div_right (a b : ℤ) {c : ℤ} (H : c ≠ 0) :
(a + b * c) / c = a / c + b :=
have ∀ {k n : ℕ} {a : ℤ}, (a + n * k.succ) / k.succ = a / k.succ + n, from
λ k n a, match a with
| (m : ℕ) := congr_arg of_nat $ nat.add_mul_div_right _ _ k.succ_pos
| -[1+ m] := show ((n * k.succ:ℕ) - m.succ : ℤ) / k.succ =
n - (m / k.succ + 1 : ℕ), begin
cases lt_or_ge m (n*k.succ) with h h,
{ rw [← int.coe_nat_sub h,
← int.coe_nat_sub ((nat.div_lt_iff_lt_mul _ _ k.succ_pos).2 h)],
apply congr_arg of_nat,
rw [mul_comm, nat.mul_sub_div], rwa mul_comm },
{ change (↑(n * nat.succ k) - (m + 1) : ℤ) / ↑(nat.succ k) =
↑n - ((m / nat.succ k : ℕ) + 1),
rw [← sub_sub, ← sub_sub, ← neg_sub (m:ℤ), ← neg_sub _ (n:ℤ),
← int.coe_nat_sub h,
← int.coe_nat_sub ((nat.le_div_iff_mul_le _ _ k.succ_pos).2 h),
← neg_succ_of_nat_coe', ← neg_succ_of_nat_coe'],
{ apply congr_arg neg_succ_of_nat,
rw [mul_comm, nat.sub_mul_div], rwa mul_comm } }
end
end,
have ∀ {a b c : ℤ}, 0 < c → (a + b * c) / c = a / c + b, from
λ a b c H, match c, eq_succ_of_zero_lt H, b with
| ._, ⟨k, rfl⟩, (n : ℕ) := this
| ._, ⟨k, rfl⟩, -[1+ n] :=
show (a - n.succ * k.succ) / k.succ = (a / k.succ) - n.succ, from
eq_sub_of_add_eq $ by rw [← this, sub_add_cancel]
end,
match lt_trichotomy c 0 with
| or.inl hlt := neg_inj $ by rw [← int.div_neg, neg_add, ← int.div_neg, ← neg_mul_neg];
apply this (neg_pos_of_neg hlt)
| or.inr (or.inl heq) := absurd heq H
| or.inr (or.inr hgt) := this hgt
end
protected theorem add_mul_div_left (a : ℤ) {b : ℤ} (c : ℤ) (H : b ≠ 0) :
(a + b * c) / b = a / b + c :=
by rw [mul_comm, int.add_mul_div_right _ _ H]
@[simp] protected theorem mul_div_cancel (a : ℤ) {b : ℤ} (H : b ≠ 0) : a * b / b = a :=
by have := int.add_mul_div_right 0 a H;
rwa [zero_add, int.zero_div, zero_add] at this
@[simp] protected theorem mul_div_cancel_left {a : ℤ} (b : ℤ) (H : a ≠ 0) : a * b / a = b :=
by rw [mul_comm, int.mul_div_cancel _ H]
@[simp] protected theorem div_self {a : ℤ} (H : a ≠ 0) : a / a = 1 :=
by have := int.mul_div_cancel 1 H; rwa one_mul at this
/- mod -/
theorem of_nat_mod (m n : nat) : (m % n : ℤ) = of_nat (m % n) := rfl
@[simp] theorem coe_nat_mod (m n : ℕ) : (↑(m % n) : ℤ) = ↑m % ↑n := rfl
theorem neg_succ_of_nat_mod (m : ℕ) {b : ℤ} (bpos : 0 < b) :
-[1+m] % b = b - 1 - m % b :=
by rw [sub_sub, add_comm]; exact
match b, eq_succ_of_zero_lt bpos with ._, ⟨n, rfl⟩ := rfl end
@[simp] theorem mod_neg : ∀ (a b : ℤ), a % -b = a % b
| (m : ℕ) n := @congr_arg ℕ ℤ _ _ (λ i, ↑(m % i)) (nat_abs_neg _)
| -[1+ m] n := @congr_arg ℕ ℤ _ _ (λ i, sub_nat_nat i (nat.succ (m % i))) (nat_abs_neg _)
@[simp] theorem mod_abs (a b : ℤ) : a % (abs b) = a % b :=
abs_by_cases (λ i, a % i = a % b) rfl (mod_neg _ _)
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem zero_mod (b : ℤ) : 0 % b = 0 :=
congr_arg of_nat $ nat.zero_mod _
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem mod_zero : ∀ (a : ℤ), a % 0 = a
| (m : ℕ) := congr_arg of_nat $ nat.mod_zero _
| -[1+ m] := congr_arg neg_succ_of_nat $ nat.mod_zero _
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem mod_one : ∀ (a : ℤ), a % 1 = 0
| (m : ℕ) := congr_arg of_nat $ nat.mod_one _
| -[1+ m] := show (1 - (m % 1).succ : ℤ) = 0, by rw nat.mod_one; refl
theorem mod_eq_of_lt {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < b) : a % b = a :=
match a, b, eq_coe_of_zero_le H1, eq_coe_of_zero_le (le_trans H1 (le_of_lt H2)), H2 with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩, H2 :=
congr_arg of_nat $ nat.mod_eq_of_lt (lt_of_coe_nat_lt_coe_nat H2)
end
theorem mod_nonneg : ∀ (a : ℤ) {b : ℤ}, b ≠ 0 → 0 ≤ a % b
| (m : ℕ) n H := coe_zero_le _
| -[1+ m] n H :=
sub_nonneg_of_le $ coe_nat_le_coe_nat_of_le $ nat.mod_lt _ (nat_abs_pos_of_ne_zero H)
theorem mod_lt_of_pos (a : ℤ) {b : ℤ} (H : 0 < b) : a % b < b :=
match a, b, eq_succ_of_zero_lt H with
| (m : ℕ), ._, ⟨n, rfl⟩ := coe_nat_lt_coe_nat_of_lt (nat.mod_lt _ (nat.succ_pos _))
| -[1+ m], ._, ⟨n, rfl⟩ := sub_lt_self _ (coe_nat_lt_coe_nat_of_lt $ nat.succ_pos _)
end
theorem mod_lt (a : ℤ) {b : ℤ} (H : b ≠ 0) : a % b < abs b :=
by rw [← mod_abs]; exact mod_lt_of_pos _ (abs_pos_of_ne_zero H)
theorem mod_add_div_aux (m n : ℕ) : (n - (m % n + 1) - (n * (m / n) + n) : ℤ) = -[1+ m] :=
begin
rw [← sub_sub, neg_succ_of_nat_coe, sub_sub (n:ℤ)],
apply eq_neg_of_eq_neg,
rw [neg_sub, sub_sub_self, add_right_comm],
exact @congr_arg ℕ ℤ _ _ (λi, (i + 1 : ℤ)) (nat.mod_add_div _ _).symm
end
theorem mod_add_div : ∀ (a b : ℤ), a % b + b * (a / b) = a
| (m : ℕ) 0 := congr_arg of_nat (nat.mod_add_div _ _)
| (m : ℕ) (n+1:ℕ) := congr_arg of_nat (nat.mod_add_div _ _)
| 0 -[1+ n] := rfl
| (m+1:ℕ) -[1+ n] := show (_ + -(n+1) * -((m + 1) / (n + 1) : ℕ) : ℤ) = _,
by rw [neg_mul_neg]; exact congr_arg of_nat (nat.mod_add_div _ _)
| -[1+ m] 0 := by rw [mod_zero, int.div_zero]; refl
| -[1+ m] (n+1:ℕ) := mod_add_div_aux m n.succ
| -[1+ m] -[1+ n] := mod_add_div_aux m n.succ
theorem mod_def (a b : ℤ) : a % b = a - b * (a / b) :=
eq_sub_of_add_eq (mod_add_div _ _)
@[simp] theorem add_mul_mod_self {a b c : ℤ} : (a + b * c) % c = a % c :=
if cz : c = 0 then by rw [cz, mul_zero, add_zero] else
by rw [mod_def, mod_def, int.add_mul_div_right _ _ cz,
mul_add, mul_comm, add_sub_add_right_eq_sub]
@[simp] theorem add_mul_mod_self_left (a b c : ℤ) : (a + b * c) % b = a % b :=
by rw [mul_comm, add_mul_mod_self]
@[simp] theorem add_mod_self {a b : ℤ} : (a + b) % b = a % b :=
by have := add_mul_mod_self_left a b 1; rwa mul_one at this
@[simp] theorem add_mod_self_left {a b : ℤ} : (a + b) % a = b % a :=
by rw [add_comm, add_mod_self]
@[simp] theorem mod_add_mod (m n k : ℤ) : (m % n + k) % n = (m + k) % n :=
by have := (add_mul_mod_self_left (m % n + k) n (m / n)).symm;
rwa [add_right_comm, mod_add_div] at this
@[simp] theorem add_mod_mod (m n k : ℤ) : (m + n % k) % k = (m + n) % k :=
by rw [add_comm, mod_add_mod, add_comm]
theorem add_mod_eq_add_mod_right {m n k : ℤ} (i : ℤ) (H : m % n = k % n) :
(m + i) % n = (k + i) % n :=
by rw [← mod_add_mod, ← mod_add_mod k, H]
theorem add_mod_eq_add_mod_left {m n k : ℤ} (i : ℤ) (H : m % n = k % n) :
(i + m) % n = (i + k) % n :=
by rw [add_comm, add_mod_eq_add_mod_right _ H, add_comm]
theorem mod_add_cancel_right {m n k : ℤ} (i) : (m + i) % n = (k + i) % n ↔
m % n = k % n :=
⟨λ H, by have := add_mod_eq_add_mod_right (-i) H;
rwa [add_neg_cancel_right, add_neg_cancel_right] at this,
add_mod_eq_add_mod_right _⟩
theorem mod_add_cancel_left {m n k i : ℤ} :
(i + m) % n = (i + k) % n ↔ m % n = k % n :=
by rw [add_comm, add_comm i, mod_add_cancel_right]
theorem mod_sub_cancel_right {m n k : ℤ} (i) : (m - i) % n = (k - i) % n ↔
m % n = k % n :=
mod_add_cancel_right _
theorem mod_eq_mod_iff_mod_sub_eq_zero {m n k : ℤ} : m % n = k % n ↔ (m - k) % n = 0 :=
(mod_sub_cancel_right k).symm.trans $ by simp
@[simp] theorem mul_mod_left (a b : ℤ) : (a * b) % b = 0 :=
by rw [← zero_add (a * b), add_mul_mod_self, zero_mod]
@[simp] theorem mul_mod_right (a b : ℤ) : (a * b) % a = 0 :=
by rw [mul_comm, mul_mod_left]
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem mod_self {a : ℤ} : a % a = 0 :=
by have := mul_mod_left 1 a; rwa one_mul at this
@[simp] theorem mod_mod_of_dvd (n : int) {m k : int} (h : m ∣ k) : n % k % m = n % m :=
begin
conv { to_rhs, rw ←mod_add_div n k },
rcases h with ⟨t, rfl⟩, rw [mul_assoc, add_mul_mod_self_left]
end
@[simp] theorem mod_mod (a b : ℤ) : a % b % b = a % b :=
by conv {to_rhs, rw [← mod_add_div a b, add_mul_mod_self_left]}
/- properties of / and % -/
@[simp] theorem mul_div_mul_of_pos {a : ℤ} (b c : ℤ) (H : 0 < a) : a * b / (a * c) = b / c :=
suffices ∀ (m k : ℕ) (b : ℤ), (m.succ * b / (m.succ * k) : ℤ) = b / k, from
match a, eq_succ_of_zero_lt H, c, eq_coe_or_neg c with
| ._, ⟨m, rfl⟩, ._, ⟨k, or.inl rfl⟩ := this _ _ _
| ._, ⟨m, rfl⟩, ._, ⟨k, or.inr rfl⟩ :=
by rw [← neg_mul_eq_mul_neg, int.div_neg, int.div_neg];
apply congr_arg has_neg.neg; apply this
end,
λ m k b, match b, k with
| (n : ℕ), k := congr_arg of_nat (nat.mul_div_mul _ _ m.succ_pos)
| -[1+ n], 0 := by rw [int.coe_nat_zero, mul_zero, int.div_zero, int.div_zero]
| -[1+ n], k+1 := congr_arg neg_succ_of_nat $
show (m.succ * n + m) / (m.succ * k.succ) = n / k.succ, begin
apply nat.div_eq_of_lt_le,
{ refine le_trans _ (nat.le_add_right _ _),
rw [← nat.mul_div_mul _ _ m.succ_pos],
apply nat.div_mul_le_self },
{ change m.succ * n.succ ≤ _,
rw [mul_left_comm],
apply nat.mul_le_mul_left,
apply (nat.div_lt_iff_lt_mul _ _ k.succ_pos).1,
apply nat.lt_succ_self }
end
end
@[simp] theorem mul_div_mul_of_pos_left (a : ℤ) {b : ℤ} (c : ℤ) (H : 0 < b) :
a * b / (c * b) = a / c :=
by rw [mul_comm, mul_comm c, mul_div_mul_of_pos _ _ H]
@[simp] theorem mul_mod_mul_of_pos {a : ℤ} (b c : ℤ) (H : 0 < a) : a * b % (a * c) = a * (b % c) :=
by rw [mod_def, mod_def, mul_div_mul_of_pos _ _ H, mul_sub_left_distrib, mul_assoc]
theorem lt_div_add_one_mul_self (a : ℤ) {b : ℤ} (H : 0 < b) : a < (a / b + 1) * b :=
by rw [add_mul, one_mul, mul_comm]; apply lt_add_of_sub_left_lt;
rw [← mod_def]; apply mod_lt_of_pos _ H
theorem abs_div_le_abs : ∀ (a b : ℤ), abs (a / b) ≤ abs a :=
suffices ∀ (a : ℤ) (n : ℕ), abs (a / n) ≤ abs a, from
λ a b, match b, eq_coe_or_neg b with
| ._, ⟨n, or.inl rfl⟩ := this _ _
| ._, ⟨n, or.inr rfl⟩ := by rw [int.div_neg, abs_neg]; apply this
end,
λ a n, by rw [abs_eq_nat_abs, abs_eq_nat_abs]; exact
coe_nat_le_coe_nat_of_le (match a, n with
| (m : ℕ), n := nat.div_le_self _ _
| -[1+ m], 0 := nat.zero_le _
| -[1+ m], n+1 := nat.succ_le_succ (nat.div_le_self _ _)
end)
theorem div_le_self {a : ℤ} (b : ℤ) (Ha : 0 ≤ a) : a / b ≤ a :=
by have := le_trans (le_abs_self _) (abs_div_le_abs a b);
rwa [abs_of_nonneg Ha] at this
theorem mul_div_cancel_of_mod_eq_zero {a b : ℤ} (H : a % b = 0) : b * (a / b) = a :=
by have := mod_add_div a b; rwa [H, zero_add] at this
theorem div_mul_cancel_of_mod_eq_zero {a b : ℤ} (H : a % b = 0) : a / b * b = a :=
by rw [mul_comm, mul_div_cancel_of_mod_eq_zero H]
lemma mod_two_eq_zero_or_one (n : ℤ) : n % 2 = 0 ∨ n % 2 = 1 :=
have h : n % 2 < 2 := abs_of_nonneg (show 0 ≤ (2 : ℤ), from dec_trivial) ▸ int.mod_lt _ dec_trivial,
have h₁ : 0 ≤ n % 2 := int.mod_nonneg _ dec_trivial,
match (n % 2), h, h₁ with
| (0 : ℕ) := λ _ _, or.inl rfl
| (1 : ℕ) := λ _ _, or.inr rfl
| (k + 2 : ℕ) := λ h _, absurd h dec_trivial
| -[1+ a] := λ _ h₁, absurd h₁ dec_trivial
end
/- dvd -/
@[elim_cast] theorem coe_nat_dvd {m n : ℕ} : (↑m : ℤ) ∣ ↑n ↔ m ∣ n :=
⟨λ ⟨a, ae⟩, m.eq_zero_or_pos.elim
(λm0, by simp [m0] at ae; simp [ae, m0])
(λm0l, by {
cases eq_coe_of_zero_le (@nonneg_of_mul_nonneg_left ℤ _ m a
(by simp [ae.symm]) (by simpa using m0l)) with k e,
subst a, exact ⟨k, int.coe_nat_inj ae⟩ }),
λ ⟨k, e⟩, dvd.intro k $ by rw [e, int.coe_nat_mul]⟩
theorem coe_nat_dvd_left {n : ℕ} {z : ℤ} : (↑n : ℤ) ∣ z ↔ n ∣ z.nat_abs :=
by rcases nat_abs_eq z with eq | eq; rw eq; simp [coe_nat_dvd]
theorem coe_nat_dvd_right {n : ℕ} {z : ℤ} : z ∣ (↑n : ℤ) ↔ z.nat_abs ∣ n :=
by rcases nat_abs_eq z with eq | eq; rw eq; simp [coe_nat_dvd]
theorem dvd_antisymm {a b : ℤ} (H1 : 0 ≤ a) (H2 : 0 ≤ b) : a ∣ b → b ∣ a → a = b :=
begin
rw [← abs_of_nonneg H1, ← abs_of_nonneg H2, abs_eq_nat_abs, abs_eq_nat_abs],
rw [coe_nat_dvd, coe_nat_dvd, coe_nat_inj'],
apply nat.dvd_antisymm
end
theorem dvd_of_mod_eq_zero {a b : ℤ} (H : b % a = 0) : a ∣ b :=
⟨b / a, (mul_div_cancel_of_mod_eq_zero H).symm⟩
theorem mod_eq_zero_of_dvd : ∀ {a b : ℤ}, a ∣ b → b % a = 0
| a ._ ⟨c, rfl⟩ := mul_mod_right _ _
theorem dvd_iff_mod_eq_zero (a b : ℤ) : a ∣ b ↔ b % a = 0 :=
⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩
theorem nat_abs_dvd {a b : ℤ} : (a.nat_abs : ℤ) ∣ b ↔ a ∣ b :=
(nat_abs_eq a).elim (λ e, by rw ← e) (λ e, by rw [← neg_dvd_iff_dvd, ← e])
theorem dvd_nat_abs {a b : ℤ} : a ∣ b.nat_abs ↔ a ∣ b :=
(nat_abs_eq b).elim (λ e, by rw ← e) (λ e, by rw [← dvd_neg_iff_dvd, ← e])
instance decidable_dvd : @decidable_rel ℤ (∣) :=
assume a n, decidable_of_decidable_of_iff (by apply_instance) (dvd_iff_mod_eq_zero _ _).symm
protected theorem div_mul_cancel {a b : ℤ} (H : b ∣ a) : a / b * b = a :=
div_mul_cancel_of_mod_eq_zero (mod_eq_zero_of_dvd H)
protected theorem mul_div_cancel' {a b : ℤ} (H : a ∣ b) : a * (b / a) = b :=
by rw [mul_comm, int.div_mul_cancel H]
protected theorem mul_div_assoc (a : ℤ) : ∀ {b c : ℤ}, c ∣ b → (a * b) / c = a * (b / c)
| ._ c ⟨d, rfl⟩ := if cz : c = 0 then by simp [cz] else
by rw [mul_left_comm, int.mul_div_cancel_left _ cz, int.mul_div_cancel_left _ cz]
theorem div_dvd_div : ∀ {a b c : ℤ} (H1 : a ∣ b) (H2 : b ∣ c), b / a ∣ c / a
| a ._ ._ ⟨b, rfl⟩ ⟨c, rfl⟩ := if az : a = 0 then by simp [az] else
by rw [int.mul_div_cancel_left _ az, mul_assoc, int.mul_div_cancel_left _ az];
apply dvd_mul_right
protected theorem eq_mul_of_div_eq_right {a b c : ℤ} (H1 : b ∣ a) (H2 : a / b = c) :
a = b * c :=
by rw [← H2, int.mul_div_cancel' H1]
protected theorem div_eq_of_eq_mul_right {a b c : ℤ} (H1 : b ≠ 0) (H2 : a = b * c) :
a / b = c :=
by rw [H2, int.mul_div_cancel_left _ H1]
protected theorem div_eq_iff_eq_mul_right {a b c : ℤ} (H : b ≠ 0) (H' : b ∣ a) :
a / b = c ↔ a = b * c :=
⟨int.eq_mul_of_div_eq_right H', int.div_eq_of_eq_mul_right H⟩
protected theorem div_eq_iff_eq_mul_left {a b c : ℤ} (H : b ≠ 0) (H' : b ∣ a) :
a / b = c ↔ a = c * b :=
by rw mul_comm; exact int.div_eq_iff_eq_mul_right H H'
protected theorem eq_mul_of_div_eq_left {a b c : ℤ} (H1 : b ∣ a) (H2 : a / b = c) :
a = c * b :=
by rw [mul_comm, int.eq_mul_of_div_eq_right H1 H2]
protected theorem div_eq_of_eq_mul_left {a b c : ℤ} (H1 : b ≠ 0) (H2 : a = c * b) :
a / b = c :=
int.div_eq_of_eq_mul_right H1 (by rw [mul_comm, H2])
theorem neg_div_of_dvd : ∀ {a b : ℤ} (H : b ∣ a), -a / b = -(a / b)
| ._ b ⟨c, rfl⟩ := if bz : b = 0 then by simp [bz] else
by rw [neg_mul_eq_mul_neg, int.mul_div_cancel_left _ bz, int.mul_div_cancel_left _ bz]
lemma add_div_of_dvd {a b c : ℤ} :
c ∣ a → c ∣ b → (a + b) / c = a / c + b / c :=
begin
intros h1 h2,
by_cases h3 : c = 0,
{ rw [h3, zero_dvd_iff] at *,
rw [h1, h2, h3], refl },
{ apply eq_of_mul_eq_mul_right h3,
rw add_mul, repeat {rw [int.div_mul_cancel]};
try {apply dvd_add}; assumption }
end
theorem div_sign : ∀ a b, a / sign b = a * sign b
| a (n+1:ℕ) := by unfold sign; simp
| a 0 := by simp [sign]
| a -[1+ n] := by simp [sign]
@[simp] theorem sign_mul : ∀ a b, sign (a * b) = sign a * sign b
| a 0 := by simp
| 0 b := by simp
| (m+1:ℕ) (n+1:ℕ) := rfl
| (m+1:ℕ) -[1+ n] := rfl
| -[1+ m] (n+1:ℕ) := rfl
| -[1+ m] -[1+ n] := rfl
protected theorem sign_eq_div_abs (a : ℤ) : sign a = a / (abs a) :=
if az : a = 0 then by simp [az] else
(int.div_eq_of_eq_mul_left (mt eq_zero_of_abs_eq_zero az)
(sign_mul_abs _).symm).symm
theorem mul_sign : ∀ (i : ℤ), i * sign i = nat_abs i
| (n+1:ℕ) := mul_one _
| 0 := mul_zero _
| -[1+ n] := mul_neg_one _
theorem le_of_dvd {a b : ℤ} (bpos : 0 < b) (H : a ∣ b) : a ≤ b :=
match a, b, eq_succ_of_zero_lt bpos, H with
| (m : ℕ), ._, ⟨n, rfl⟩, H := coe_nat_le_coe_nat_of_le $
nat.le_of_dvd n.succ_pos $ coe_nat_dvd.1 H
| -[1+ m], ._, ⟨n, rfl⟩, _ :=
le_trans (le_of_lt $ neg_succ_lt_zero _) (coe_zero_le _)
end
theorem eq_one_of_dvd_one {a : ℤ} (H : 0 ≤ a) (H' : a ∣ 1) : a = 1 :=
match a, eq_coe_of_zero_le H, H' with
| ._, ⟨n, rfl⟩, H' := congr_arg coe $
nat.eq_one_of_dvd_one $ coe_nat_dvd.1 H'
end
theorem eq_one_of_mul_eq_one_right {a b : ℤ} (H : 0 ≤ a) (H' : a * b = 1) : a = 1 :=
eq_one_of_dvd_one H ⟨b, H'.symm⟩
theorem eq_one_of_mul_eq_one_left {a b : ℤ} (H : 0 ≤ b) (H' : a * b = 1) : b = 1 :=
eq_one_of_mul_eq_one_right H (by rw [mul_comm, H'])
lemma of_nat_dvd_of_dvd_nat_abs {a : ℕ} : ∀ {z : ℤ} (haz : a ∣ z.nat_abs), ↑a ∣ z
| (int.of_nat _) haz := int.coe_nat_dvd.2 haz
| -[1+k] haz :=
begin
change ↑a ∣ -(k+1 : ℤ),
apply dvd_neg_of_dvd,
apply int.coe_nat_dvd.2,
exact haz
end
lemma dvd_nat_abs_of_of_nat_dvd {a : ℕ} : ∀ {z : ℤ} (haz : ↑a ∣ z), a ∣ z.nat_abs
| (int.of_nat _) haz := int.coe_nat_dvd.1 (int.dvd_nat_abs.2 haz)
| -[1+k] haz :=
have haz' : (↑a:ℤ) ∣ (↑(k+1):ℤ), from dvd_of_dvd_neg haz,
int.coe_nat_dvd.1 haz'
lemma pow_dvd_of_le_of_pow_dvd {p m n : ℕ} {k : ℤ} (hmn : m ≤ n) (hdiv : ↑(p ^ n) ∣ k) :
↑(p ^ m) ∣ k :=
begin
induction k,
{ apply int.coe_nat_dvd.2,
apply pow_dvd_of_le_of_pow_dvd hmn,
apply int.coe_nat_dvd.1 hdiv },
{ change -[1+k] with -(↑(k+1) : ℤ),
apply dvd_neg_of_dvd,
apply int.coe_nat_dvd.2,
apply pow_dvd_of_le_of_pow_dvd hmn,
apply int.coe_nat_dvd.1,
apply dvd_of_dvd_neg,
exact hdiv }
end
lemma dvd_of_pow_dvd {p k : ℕ} {m : ℤ} (hk : 1 ≤ k) (hpk : ↑(p^k) ∣ m) : ↑p ∣ m :=
by rw ←nat.pow_one p; exact pow_dvd_of_le_of_pow_dvd hk hpk
/- / and ordering -/
protected theorem div_mul_le (a : ℤ) {b : ℤ} (H : b ≠ 0) : a / b * b ≤ a :=
le_of_sub_nonneg $ by rw [mul_comm, ← mod_def]; apply mod_nonneg _ H
protected theorem div_le_of_le_mul {a b c : ℤ} (H : 0 < c) (H' : a ≤ b * c) : a / c ≤ b :=
le_of_mul_le_mul_right (le_trans (int.div_mul_le _ (ne_of_gt H)) H') H
protected theorem mul_lt_of_lt_div {a b c : ℤ} (H : 0 < c) (H3 : a < b / c) : a * c < b :=
lt_of_not_ge $ mt (int.div_le_of_le_mul H) (not_le_of_gt H3)
protected theorem mul_le_of_le_div {a b c : ℤ} (H1 : 0 < c) (H2 : a ≤ b / c) : a * c ≤ b :=
le_trans (mul_le_mul_of_nonneg_right H2 (le_of_lt H1)) (int.div_mul_le _ (ne_of_gt H1))
protected theorem le_div_of_mul_le {a b c : ℤ} (H1 : 0 < c) (H2 : a * c ≤ b) : a ≤ b / c :=
le_of_lt_add_one $ lt_of_mul_lt_mul_right
(lt_of_le_of_lt H2 (lt_div_add_one_mul_self _ H1)) (le_of_lt H1)
protected theorem le_div_iff_mul_le {a b c : ℤ} (H : 0 < c) : a ≤ b / c ↔ a * c ≤ b :=
⟨int.mul_le_of_le_div H, int.le_div_of_mul_le H⟩
protected theorem div_le_div {a b c : ℤ} (H : 0 < c) (H' : a ≤ b) : a / c ≤ b / c :=
int.le_div_of_mul_le H (le_trans (int.div_mul_le _ (ne_of_gt H)) H')
protected theorem div_lt_of_lt_mul {a b c : ℤ} (H : 0 < c) (H' : a < b * c) : a / c < b :=
lt_of_not_ge $ mt (int.mul_le_of_le_div H) (not_le_of_gt H')
protected theorem lt_mul_of_div_lt {a b c : ℤ} (H1 : 0 < c) (H2 : a / c < b) : a < b * c :=
lt_of_not_ge $ mt (int.le_div_of_mul_le H1) (not_le_of_gt H2)
protected theorem div_lt_iff_lt_mul {a b c : ℤ} (H : 0 < c) : a / c < b ↔ a < b * c :=
⟨int.lt_mul_of_div_lt H, int.div_lt_of_lt_mul H⟩
protected theorem le_mul_of_div_le {a b c : ℤ} (H1 : 0 ≤ b) (H2 : b ∣ a) (H3 : a / b ≤ c) :
a ≤ c * b :=
by rw [← int.div_mul_cancel H2]; exact mul_le_mul_of_nonneg_right H3 H1
protected theorem lt_div_of_mul_lt {a b c : ℤ} (H1 : 0 ≤ b) (H2 : b ∣ c) (H3 : a * b < c) :
a < c / b :=
lt_of_not_ge $ mt (int.le_mul_of_div_le H1 H2) (not_le_of_gt H3)
protected theorem lt_div_iff_mul_lt {a b : ℤ} (c : ℤ) (H : 0 < c) (H' : c ∣ b) :
a < b / c ↔ a * c < b :=
⟨int.mul_lt_of_lt_div H, int.lt_div_of_mul_lt (le_of_lt H) H'⟩
theorem div_pos_of_pos_of_dvd {a b : ℤ} (H1 : 0 < a) (H2 : 0 ≤ b) (H3 : b ∣ a) : 0 < a / b :=
int.lt_div_of_mul_lt H2 H3 (by rwa zero_mul)
theorem div_eq_div_of_mul_eq_mul {a b c d : ℤ} (H1 : b ∣ a) (H2 : d ∣ c) (H3 : b ≠ 0)
(H4 : d ≠ 0) (H5 : a * d = b * c) :
a / b = c / d :=
int.div_eq_of_eq_mul_right H3 $
by rw [← int.mul_div_assoc _ H2]; exact
(int.div_eq_of_eq_mul_left H4 H5.symm).symm
theorem eq_mul_div_of_mul_eq_mul_of_dvd_left {a b c d : ℤ} (hb : b ≠ 0) (hd : d ≠ 0) (hbc : b ∣ c)
(h : b * a = c * d) : a = c / b * d :=
begin
cases hbc with k hk,
subst hk,
rw int.mul_div_cancel_left, rw mul_assoc at h,
apply _root_.eq_of_mul_eq_mul_left _ h,
repeat {assumption}
end
theorem of_nat_add_neg_succ_of_nat_of_lt {m n : ℕ}
(h : m < n.succ) : of_nat m + -[1+n] = -[1+ n - m] :=
begin
change sub_nat_nat _ _ = _,
have h' : n.succ - m = (n - m).succ,
apply succ_sub,
apply le_of_lt_succ h,
simp [*, sub_nat_nat]
end
theorem of_nat_add_neg_succ_of_nat_of_ge {m n : ℕ}
(h : n.succ ≤ m) : of_nat m + -[1+n] = of_nat (m - n.succ) :=
begin
change sub_nat_nat _ _ = _,
have h' : n.succ - m = 0,
apply sub_eq_zero_of_le h,
simp [*, sub_nat_nat]
end
@[simp] theorem neg_add_neg (m n : ℕ) : -[1+m] + -[1+n] = -[1+nat.succ(m+n)] := rfl
/- to_nat -/
theorem to_nat_eq_max : ∀ (a : ℤ), (to_nat a : ℤ) = max a 0
| (n : ℕ) := (max_eq_left (coe_zero_le n)).symm
| -[1+ n] := (max_eq_right (le_of_lt (neg_succ_lt_zero n))).symm
@[simp] theorem to_nat_of_nonneg {a : ℤ} (h : 0 ≤ a) : (to_nat a : ℤ) = a :=
by rw [to_nat_eq_max, max_eq_left h]
@[simp] lemma to_nat_sub_of_le (a b : ℤ) (h : b ≤ a) : (to_nat (a + -b) : ℤ) = a + - b :=
int.to_nat_of_nonneg (sub_nonneg_of_le h)
@[simp] theorem to_nat_coe_nat (n : ℕ) : to_nat ↑n = n := rfl
theorem le_to_nat (a : ℤ) : a ≤ to_nat a :=
by rw [to_nat_eq_max]; apply le_max_left
@[simp] theorem to_nat_le {a : ℤ} {n : ℕ} : to_nat a ≤ n ↔ a ≤ n :=
by rw [(coe_nat_le_coe_nat_iff _ _).symm, to_nat_eq_max, max_le_iff];
exact and_iff_left (coe_zero_le _)
@[simp] theorem lt_to_nat {n : ℕ} {a : ℤ} : n < to_nat a ↔ (n : ℤ) < a :=
le_iff_le_iff_lt_iff_lt.1 to_nat_le
theorem to_nat_le_to_nat {a b : ℤ} (h : a ≤ b) : to_nat a ≤ to_nat b :=
by rw to_nat_le; exact le_trans h (le_to_nat b)
theorem to_nat_lt_to_nat {a b : ℤ} (hb : 0 < b) : to_nat a < to_nat b ↔ a < b :=
⟨λ h, begin cases a, exact lt_to_nat.1 h, exact lt_trans (neg_succ_of_nat_lt_zero a) hb, end,
λ h, begin rw lt_to_nat, cases a, exact h, exact hb end⟩
theorem lt_of_to_nat_lt {a b : ℤ} (h : to_nat a < to_nat b) : a < b :=
(to_nat_lt_to_nat $ lt_to_nat.1 $ lt_of_le_of_lt (nat.zero_le _) h).1 h
def to_nat' : ℤ → option ℕ
| (n : ℕ) := some n
| -[1+ n] := none
theorem mem_to_nat' : ∀ (a : ℤ) (n : ℕ), n ∈ to_nat' a ↔ a = n
| (m : ℕ) n := option.some_inj.trans coe_nat_inj'.symm
| -[1+ m] n := by split; intro h; cases h
/- units -/
@[simp] theorem units_nat_abs (u : units ℤ) : nat_abs u = 1 :=
units.ext_iff.1 $ nat.units_eq_one ⟨nat_abs u, nat_abs ↑u⁻¹,
by rw [← nat_abs_mul, units.mul_inv]; refl,
by rw [← nat_abs_mul, units.inv_mul]; refl⟩
theorem units_eq_one_or (u : units ℤ) : u = 1 ∨ u = -1 :=
by simpa [units.ext_iff, units_nat_abs] using nat_abs_eq u
lemma units_inv_eq_self (u : units ℤ) : u⁻¹ = u :=
(units_eq_one_or u).elim (λ h, h.symm ▸ rfl) (λ h, h.symm ▸ rfl)
/- bitwise ops -/
@[simp] lemma bodd_zero : bodd 0 = ff := rfl
@[simp] lemma bodd_one : bodd 1 = tt := rfl
@[simp] lemma bodd_two : bodd 2 = ff := rfl
@[simp, elim_cast] lemma bodd_coe (n : ℕ) : int.bodd n = nat.bodd n := rfl
@[simp] lemma bodd_sub_nat_nat (m n : ℕ) : bodd (sub_nat_nat m n) = bxor m.bodd n.bodd :=
by apply sub_nat_nat_elim m n (λ m n i, bodd i = bxor m.bodd n.bodd); intros;
simp; cases i.bodd; simp
@[simp] lemma bodd_neg_of_nat (n : ℕ) : bodd (neg_of_nat n) = n.bodd :=
by cases n; simp; refl
@[simp] lemma bodd_neg (n : ℤ) : bodd (-n) = bodd n :=
by cases n; simp [has_neg.neg, int.coe_nat_eq, int.neg, bodd, -of_nat_eq_coe]
@[simp] lemma bodd_add (m n : ℤ) : bodd (m + n) = bxor (bodd m) (bodd n) :=
by cases m with m m; cases n with n n; unfold has_add.add;
simp [int.add, -of_nat_eq_coe, bool.bxor_comm]
@[simp] lemma bodd_mul (m n : ℤ) : bodd (m * n) = bodd m && bodd n :=
by cases m with m m; cases n with n n; unfold has_mul.mul;
simp [int.mul, -of_nat_eq_coe, bool.bxor_comm]
theorem bodd_add_div2 : ∀ n, cond (bodd n) 1 0 + 2 * div2 n = n
| (n : ℕ) :=
by rw [show (cond (bodd n) 1 0 : ℤ) = (cond (bodd n) 1 0 : ℕ),
by cases bodd n; refl]; exact congr_arg of_nat n.bodd_add_div2
| -[1+ n] := begin
refine eq.trans _ (congr_arg neg_succ_of_nat n.bodd_add_div2),
dsimp [bodd], cases nat.bodd n; dsimp [cond, bnot, div2, int.mul],
{ change -[1+ 2 * nat.div2 n] = _, rw zero_add },
{ rw [zero_add, add_comm], refl }
end
theorem div2_val : ∀ n, div2 n = n / 2
| (n : ℕ) := congr_arg of_nat n.div2_val
| -[1+ n] := congr_arg neg_succ_of_nat n.div2_val
lemma bit0_val (n : ℤ) : bit0 n = 2 * n := (two_mul _).symm
lemma bit1_val (n : ℤ) : bit1 n = 2 * n + 1 := congr_arg (+(1:ℤ)) (bit0_val _)
lemma bit_val (b n) : bit b n = 2 * n + cond b 1 0 :=
by { cases b, apply (bit0_val n).trans (add_zero _).symm, apply bit1_val }
lemma bit_decomp (n : ℤ) : bit (bodd n) (div2 n) = n :=
(bit_val _ _).trans $ (add_comm _ _).trans $ bodd_add_div2 _
def {u} bit_cases_on {C : ℤ → Sort u} (n) (h : ∀ b n, C (bit b n)) : C n :=
by rw [← bit_decomp n]; apply h
@[simp] lemma bit_zero : bit ff 0 = 0 := rfl
@[simp] lemma bit_coe_nat (b) (n : ℕ) : bit b n = nat.bit b n :=
by rw [bit_val, nat.bit_val]; cases b; refl
@[simp] lemma bit_neg_succ (b) (n : ℕ) : bit b -[1+ n] = -[1+ nat.bit (bnot b) n] :=
by rw [bit_val, nat.bit_val]; cases b; refl
@[simp] lemma bodd_bit (b n) : bodd (bit b n) = b :=
by rw bit_val; simp; cases b; cases bodd n; refl
@[simp] lemma div2_bit (b n) : div2 (bit b n) = n :=
begin
rw [bit_val, div2_val, add_comm, int.add_mul_div_left, (_ : (_/2:ℤ) = 0), zero_add],
cases b, all_goals {exact dec_trivial}
end
@[simp] lemma test_bit_zero (b) : ∀ n, test_bit (bit b n) 0 = b
| (n : ℕ) := by rw [bit_coe_nat]; apply nat.test_bit_zero
| -[1+ n] := by rw [bit_neg_succ]; dsimp [test_bit]; rw [nat.test_bit_zero];
clear test_bit_zero; cases b; refl
@[simp] lemma test_bit_succ (m b) : ∀ n, test_bit (bit b n) (nat.succ m) = test_bit n m
| (n : ℕ) := by rw [bit_coe_nat]; apply nat.test_bit_succ
| -[1+ n] := by rw [bit_neg_succ]; dsimp [test_bit]; rw [nat.test_bit_succ]
private meta def bitwise_tac : tactic unit := `[
funext m,
funext n,
cases m with m m; cases n with n n; try {refl},
all_goals {
apply congr_arg of_nat <|> apply congr_arg neg_succ_of_nat,
try {dsimp [nat.land, nat.ldiff, nat.lor]},
try {rw [
show nat.bitwise (λ a b, a && bnot b) n m =
nat.bitwise (λ a b, b && bnot a) m n, from
congr_fun (congr_fun (@nat.bitwise_swap (λ a b, b && bnot a) rfl) n) m]},
apply congr_arg (λ f, nat.bitwise f m n),
funext a,
funext b,
cases a; cases b; refl
},
all_goals {unfold nat.land nat.ldiff nat.lor}
]
theorem bitwise_or : bitwise bor = lor := by bitwise_tac
theorem bitwise_and : bitwise band = land := by bitwise_tac
theorem bitwise_diff : bitwise (λ a b, a && bnot b) = ldiff := by bitwise_tac
theorem bitwise_xor : bitwise bxor = lxor := by bitwise_tac
@[simp] lemma bitwise_bit (f : bool → bool → bool) (a m b n) :
bitwise f (bit a m) (bit b n) = bit (f a b) (bitwise f m n) :=
begin
cases m with m m; cases n with n n;
repeat { rw [← int.coe_nat_eq] <|> rw bit_coe_nat <|> rw bit_neg_succ };
unfold bitwise nat_bitwise bnot;
[ induction h : f ff ff,
induction h : f ff tt,
induction h : f tt ff,
induction h : f tt tt ],
all_goals {
unfold cond, rw nat.bitwise_bit,
repeat { rw bit_coe_nat <|> rw bit_neg_succ <|> rw bnot_bnot } },
all_goals { unfold bnot {fail_if_unchanged := ff}; rw h; refl }
end
@[simp] lemma lor_bit (a m b n) : lor (bit a m) (bit b n) = bit (a || b) (lor m n) :=
by rw [← bitwise_or, bitwise_bit]
@[simp] lemma land_bit (a m b n) : land (bit a m) (bit b n) = bit (a && b) (land m n) :=
by rw [← bitwise_and, bitwise_bit]
@[simp] lemma ldiff_bit (a m b n) : ldiff (bit a m) (bit b n) = bit (a && bnot b) (ldiff m n) :=
by rw [← bitwise_diff, bitwise_bit]
@[simp] lemma lxor_bit (a m b n) : lxor (bit a m) (bit b n) = bit (bxor a b) (lxor m n) :=
by rw [← bitwise_xor, bitwise_bit]
@[simp] lemma lnot_bit (b) : ∀ n, lnot (bit b n) = bit (bnot b) (lnot n)
| (n : ℕ) := by simp [lnot]
| -[1+ n] := by simp [lnot]
@[simp] lemma test_bit_bitwise (f : bool → bool → bool) (m n k) :
test_bit (bitwise f m n) k = f (test_bit m k) (test_bit n k) :=
begin
induction k with k IH generalizing m n;
apply bit_cases_on m; intros a m';
apply bit_cases_on n; intros b n';
rw bitwise_bit,
{ simp [test_bit_zero] },
{ simp [test_bit_succ, IH] }
end
@[simp] lemma test_bit_lor (m n k) : test_bit (lor m n) k = test_bit m k || test_bit n k :=
by rw [← bitwise_or, test_bit_bitwise]
@[simp] lemma test_bit_land (m n k) : test_bit (land m n) k = test_bit m k && test_bit n k :=
by rw [← bitwise_and, test_bit_bitwise]
@[simp] lemma test_bit_ldiff (m n k) : test_bit (ldiff m n) k = test_bit m k && bnot (test_bit n k) :=
by rw [← bitwise_diff, test_bit_bitwise]
@[simp] lemma test_bit_lxor (m n k) : test_bit (lxor m n) k = bxor (test_bit m k) (test_bit n k) :=
by rw [← bitwise_xor, test_bit_bitwise]
@[simp] lemma test_bit_lnot : ∀ n k, test_bit (lnot n) k = bnot (test_bit n k)
| (n : ℕ) k := by simp [lnot, test_bit]
| -[1+ n] k := by simp [lnot, test_bit]
lemma shiftl_add : ∀ (m : ℤ) (n : ℕ) (k : ℤ), shiftl m (n + k) = shiftl (shiftl m n) k
| (m : ℕ) n (k:ℕ) := congr_arg of_nat (nat.shiftl_add _ _ _)
| -[1+ m] n (k:ℕ) := congr_arg neg_succ_of_nat (nat.shiftl'_add _ _ _ _)
| (m : ℕ) n -[1+k] := sub_nat_nat_elim n k.succ
(λ n k i, shiftl ↑m i = nat.shiftr (nat.shiftl m n) k)
(λ i n, congr_arg coe $
by rw [← nat.shiftl_sub, nat.add_sub_cancel_left]; apply nat.le_add_right)
(λ i n, congr_arg coe $
by rw [add_assoc, nat.shiftr_add, ← nat.shiftl_sub, nat.sub_self]; refl)
| -[1+ m] n -[1+k] := sub_nat_nat_elim n k.succ
(λ n k i, shiftl -[1+ m] i = -[1+ nat.shiftr (nat.shiftl' tt m n) k])
(λ i n, congr_arg neg_succ_of_nat $
by rw [← nat.shiftl'_sub, nat.add_sub_cancel_left]; apply nat.le_add_right)
(λ i n, congr_arg neg_succ_of_nat $
by rw [add_assoc, nat.shiftr_add, ← nat.shiftl'_sub, nat.sub_self]; refl)
lemma shiftl_sub (m : ℤ) (n : ℕ) (k : ℤ) : shiftl m (n - k) = shiftr (shiftl m n) k :=
shiftl_add _ _ _
@[simp] lemma shiftl_neg (m n : ℤ) : shiftl m (-n) = shiftr m n := rfl
@[simp] lemma shiftr_neg (m n : ℤ) : shiftr m (-n) = shiftl m n := by rw [← shiftl_neg, neg_neg]
@[simp] lemma shiftl_coe_nat (m n : ℕ) : shiftl m n = nat.shiftl m n := rfl
@[simp] lemma shiftr_coe_nat (m n : ℕ) : shiftr m n = nat.shiftr m n := by cases n; refl
@[simp] lemma shiftl_neg_succ (m n : ℕ) : shiftl -[1+ m] n = -[1+ nat.shiftl' tt m n] := rfl
@[simp] lemma shiftr_neg_succ (m n : ℕ) : shiftr -[1+ m] n = -[1+ nat.shiftr m n] := by cases n; refl
lemma shiftr_add : ∀ (m : ℤ) (n k : ℕ), shiftr m (n + k) = shiftr (shiftr m n) k
| (m : ℕ) n k := by rw [shiftr_coe_nat, shiftr_coe_nat,
← int.coe_nat_add, shiftr_coe_nat, nat.shiftr_add]
| -[1+ m] n k := by rw [shiftr_neg_succ, shiftr_neg_succ,
← int.coe_nat_add, shiftr_neg_succ, nat.shiftr_add]
lemma shiftl_eq_mul_pow : ∀ (m : ℤ) (n : ℕ), shiftl m n = m * ↑(2 ^ n)
| (m : ℕ) n := congr_arg coe (nat.shiftl_eq_mul_pow _ _)
| -[1+ m] n := @congr_arg ℕ ℤ _ _ (λi, -i) (nat.shiftl'_tt_eq_mul_pow _ _)
lemma shiftr_eq_div_pow : ∀ (m : ℤ) (n : ℕ), shiftr m n = m / ↑(2 ^ n)
| (m : ℕ) n := by rw shiftr_coe_nat; exact congr_arg coe (nat.shiftr_eq_div_pow _ _)
| -[1+ m] n := begin
rw [shiftr_neg_succ, neg_succ_of_nat_div, nat.shiftr_eq_div_pow], refl,
exact coe_nat_lt_coe_nat_of_lt (nat.pos_pow_of_pos _ dec_trivial)
end
lemma one_shiftl (n : ℕ) : shiftl 1 n = (2 ^ n : ℕ) :=
congr_arg coe (nat.one_shiftl _)
@[simp] lemma zero_shiftl : ∀ n : ℤ, shiftl 0 n = 0
| (n : ℕ) := congr_arg coe (nat.zero_shiftl _)
| -[1+ n] := congr_arg coe (nat.zero_shiftr _)
@[simp] lemma zero_shiftr (n) : shiftr 0 n = 0 := zero_shiftl _
/- Least upper bound property for integers -/
theorem exists_least_of_bdd {P : ℤ → Prop} [HP : decidable_pred P]
(Hbdd : ∃ b : ℤ, ∀ z : ℤ, P z → b ≤ z)
(Hinh : ∃ z : ℤ, P z) : ∃ lb : ℤ, P lb ∧ (∀ z : ℤ, P z → lb ≤ z) :=
let ⟨b, Hb⟩ := Hbdd in
have EX : ∃ n : ℕ, P (b + n), from
let ⟨elt, Helt⟩ := Hinh in
match elt, le.dest (Hb _ Helt), Helt with
| ._, ⟨n, rfl⟩, Hn := ⟨n, Hn⟩
end,
⟨b + (nat.find EX : ℤ), nat.find_spec EX, λ z h,
match z, le.dest (Hb _ h), h with
| ._, ⟨n, rfl⟩, h := add_le_add_left
(int.coe_nat_le.2 $ nat.find_min' _ h) _
end⟩
theorem exists_greatest_of_bdd {P : ℤ → Prop} [HP : decidable_pred P]
(Hbdd : ∃ b : ℤ, ∀ z : ℤ, P z → z ≤ b)
(Hinh : ∃ z : ℤ, P z) : ∃ ub : ℤ, P ub ∧ (∀ z : ℤ, P z → z ≤ ub) :=
have Hbdd' : ∃ (b : ℤ), ∀ (z : ℤ), P (-z) → b ≤ z, from
let ⟨b, Hb⟩ := Hbdd in ⟨-b, λ z h, neg_le.1 (Hb _ h)⟩,
have Hinh' : ∃ z : ℤ, P (-z), from
let ⟨elt, Helt⟩ := Hinh in ⟨-elt, by rw [neg_neg]; exact Helt⟩,
let ⟨lb, Plb, al⟩ := exists_least_of_bdd Hbdd' Hinh' in
⟨-lb, Plb, λ z h, le_neg.1 $ al _ $ by rwa neg_neg⟩
/- cast (injection into groups with one) -/
-- We use the int.has_coe instance for the simp-normal form.
-- Increase the priority so that it is used preferentially.
attribute [priority 1001] int.has_coe
@[simp] theorem nat_cast_eq_coe_nat : ∀ n,
@coe ℕ ℤ (@coe_to_lift _ _ (@coe_base _ _ nat.cast_coe)) n =
@coe ℕ ℤ (@coe_to_lift _ _ (@coe_base _ _ int.has_coe)) n
| 0 := rfl
| (n+1) := congr_arg (+(1:ℤ)) (nat_cast_eq_coe_nat n)
section cast
variables {α : Type*}
section
variables [has_zero α] [has_one α] [has_add α] [has_neg α]
/-- Canonical homomorphism from the integers to any ring(-like) structure `α` -/
protected def cast : ℤ → α
| (n : ℕ) := n
| -[1+ n] := -(n+1)
@[priority 10] instance cast_coe : has_coe ℤ α := ⟨int.cast⟩
@[simp, squash_cast] theorem cast_zero : ((0 : ℤ) : α) = 0 := rfl
theorem cast_of_nat (n : ℕ) : (of_nat n : α) = n := rfl
@[simp, squash_cast] theorem cast_coe_nat (n : ℕ) : ((n : ℤ) : α) = n := rfl
theorem cast_coe_nat' (n : ℕ) :
(@coe ℕ ℤ (@coe_to_lift _ _ (@coe_base _ _ nat.cast_coe)) n : α) = n :=
by simp
@[simp, move_cast] theorem cast_neg_succ_of_nat (n : ℕ) : (-[1+ n] : α) = -(n + 1) := rfl
end
@[simp, squash_cast] theorem cast_one [add_monoid α] [has_one α] [has_neg α] : ((1 : ℤ) : α) = 1 := nat.cast_one
@[simp, move_cast] theorem cast_sub_nat_nat [add_group α] [has_one α] (m n) : ((int.sub_nat_nat m n : ℤ) : α) = m - n :=
begin
unfold sub_nat_nat, cases e : n - m,
{ simp [sub_nat_nat, e, nat.le_of_sub_eq_zero e] },
{ rw [sub_nat_nat, cast_neg_succ_of_nat, ← nat.cast_succ, ← e,
nat.cast_sub $ _root_.le_of_lt $ nat.lt_of_sub_eq_succ e, neg_sub] },
end
@[simp, move_cast] theorem cast_neg_of_nat [add_group α] [has_one α] : ∀ n, ((neg_of_nat n : ℤ) : α) = -n
| 0 := neg_zero.symm
| (n+1) := rfl
@[simp, move_cast] theorem cast_add [add_group α] [has_one α] : ∀ m n, ((m + n : ℤ) : α) = m + n
| (m : ℕ) (n : ℕ) := nat.cast_add _ _
| (m : ℕ) -[1+ n] := cast_sub_nat_nat _ _
| -[1+ m] (n : ℕ) := (cast_sub_nat_nat _ _).trans $ sub_eq_of_eq_add $
show (n:α) = -(m+1) + n + (m+1),
by rw [add_assoc, ← cast_succ, ← nat.cast_add, add_comm,
nat.cast_add, cast_succ, neg_add_cancel_left]
| -[1+ m] -[1+ n] := show -((m + n + 1 + 1 : ℕ) : α) = -(m + 1) + -(n + 1),
begin
rw [← neg_add_rev, ← nat.cast_add_one, ← nat.cast_add_one, ← nat.cast_add],
apply congr_arg (λ x:ℕ, -(x:α)),
ac_refl
end
@[simp, move_cast] theorem cast_neg [add_group α] [has_one α] : ∀ n, ((-n : ℤ) : α) = -n
| (n : ℕ) := cast_neg_of_nat _
| -[1+ n] := (neg_neg _).symm
@[move_cast] theorem cast_sub [add_group α] [has_one α] (m n) : ((m - n : ℤ) : α) = m - n :=
by simp [sub_eq_add_neg]
@[simp] theorem cast_eq_zero [add_group α] [has_one α] [char_zero α] {n : ℤ} : (n : α) = 0 ↔ n = 0 :=
⟨λ h, begin cases n,
{ exact congr_arg coe (nat.cast_eq_zero.1 h) },
{ rw [cast_neg_succ_of_nat, neg_eq_zero, ← cast_succ, nat.cast_eq_zero] at h,
contradiction }
end, λ h, by rw [h, cast_zero]⟩
@[simp, elim_cast] theorem cast_inj [add_group α] [has_one α] [char_zero α] {m n : ℤ} : (m : α) = n ↔ m = n :=
by rw [← sub_eq_zero, ← cast_sub, cast_eq_zero, sub_eq_zero]
theorem cast_injective [add_group α] [has_one α] [char_zero α] : function.injective (coe : ℤ → α)
| m n := cast_inj.1
theorem cast_ne_zero [add_group α] [has_one α] [char_zero α] {n : ℤ} : (n : α) ≠ 0 ↔ n ≠ 0 :=
not_congr cast_eq_zero
@[simp, move_cast] theorem cast_mul [ring α] : ∀ m n, ((m * n : ℤ) : α) = m * n
| (m : ℕ) (n : ℕ) := nat.cast_mul _ _
| (m : ℕ) -[1+ n] := (cast_neg_of_nat _).trans $
show (-(m * (n + 1) : ℕ) : α) = m * -(n + 1),
by rw [nat.cast_mul, nat.cast_add_one, neg_mul_eq_mul_neg]
| -[1+ m] (n : ℕ) := (cast_neg_of_nat _).trans $
show (-((m + 1) * n : ℕ) : α) = -(m + 1) * n,
by rw [nat.cast_mul, nat.cast_add_one, neg_mul_eq_neg_mul]
| -[1+ m] -[1+ n] := show (((m + 1) * (n + 1) : ℕ) : α) = -(m + 1) * -(n + 1),
by rw [nat.cast_mul, nat.cast_add_one, nat.cast_add_one, neg_mul_neg]
/-- `coe : ℤ → α` as a `ring_hom`. -/
def cast_ring_hom (α : Type*) [ring α] : ℤ →+* α := ⟨coe, cast_one, cast_mul, cast_zero, cast_add⟩
@[simp] lemma coe_cast_ring_hom [ring α] : ⇑(cast_ring_hom α) = coe := rfl
theorem mul_cast_comm [ring α] (a : α) (n : ℤ) : a * n = n * a :=
by cases n; simp [nat.mul_cast_comm, left_distrib, right_distrib, *]
@[simp, squash_cast, move_cast] theorem coe_nat_bit0 (n : ℕ) : (↑(bit0 n) : ℤ) = bit0 ↑n := by {unfold bit0, simp}
@[simp, squash_cast, move_cast] theorem coe_nat_bit1 (n : ℕ) : (↑(bit1 n) : ℤ) = bit1 ↑n := by {unfold bit1, unfold bit0, simp}
@[simp, squash_cast, move_cast] theorem cast_bit0 [ring α] (n : ℤ) : ((bit0 n : ℤ) : α) = bit0 n := cast_add _ _
@[simp, squash_cast, move_cast] theorem cast_bit1 [ring α] (n : ℤ) : ((bit1 n : ℤ) : α) = bit1 n :=
by rw [bit1, cast_add, cast_one, cast_bit0]; refl
lemma cast_two [ring α] : ((2 : ℤ) : α) = 2 := by simp
theorem cast_nonneg [linear_ordered_ring α] : ∀ {n : ℤ}, (0 : α) ≤ n ↔ 0 ≤ n
| (n : ℕ) := by simp
| -[1+ n] := by simpa [not_le_of_gt (neg_succ_lt_zero n)] using
show -(n:α) < 1, from lt_of_le_of_lt (by simp) zero_lt_one
@[simp, elim_cast] theorem cast_le [linear_ordered_ring α] {m n : ℤ} : (m : α) ≤ n ↔ m ≤ n :=
by rw [← sub_nonneg, ← cast_sub, cast_nonneg, sub_nonneg]
@[simp, elim_cast] theorem cast_lt [linear_ordered_ring α] {m n : ℤ} : (m : α) < n ↔ m < n :=
by simpa [-cast_le] using not_congr (@cast_le α _ n m)
@[simp] theorem cast_nonpos [linear_ordered_ring α] {n : ℤ} : (n : α) ≤ 0 ↔ n ≤ 0 :=
by rw [← cast_zero, cast_le]
@[simp] theorem cast_pos [linear_ordered_ring α] {n : ℤ} : (0 : α) < n ↔ 0 < n :=
by rw [← cast_zero, cast_lt]
@[simp] theorem cast_lt_zero [linear_ordered_ring α] {n : ℤ} : (n : α) < 0 ↔ n < 0 :=
by rw [← cast_zero, cast_lt]
theorem eq_cast [add_group α] [has_one α] (f : ℤ → α)
(H1 : f 1 = 1) (Hadd : ∀ x y, f (x + y) = f x + f y) (n : ℤ) : f n = n :=
begin
have H : ∀ (n : ℕ), f n = n :=
nat.eq_cast' (λ n, f n) H1 (λ x y, Hadd x y),
cases n, {apply H},
apply eq_neg_of_add_eq_zero,
rw [← nat.cast_zero, ← H 0, int.coe_nat_zero,
← show -[1+ n] + (↑n + 1) = 0, from neg_add_self (↑n+1),
Hadd, show f (n+1) = n+1, from H (n+1)]
end
@[simp, squash_cast] theorem cast_id (n : ℤ) : ↑n = n :=
(eq_cast id rfl (λ _ _, rfl) n).symm
@[simp, move_cast] theorem cast_min [decidable_linear_ordered_comm_ring α] {a b : ℤ} :
(↑(min a b) : α) = min a b :=
by by_cases a ≤ b; simp [h, min]
@[simp, move_cast] theorem cast_max [decidable_linear_ordered_comm_ring α] {a b : ℤ} :
(↑(max a b) : α) = max a b :=
by by_cases a ≤ b; simp [h, max]
@[simp, move_cast] theorem cast_abs [decidable_linear_ordered_comm_ring α] {q : ℤ} :
((abs q : ℤ) : α) = abs q :=
by simp [abs]
end cast
section decidable
def range (m n : ℤ) : list ℤ :=
(list.range (to_nat (n-m))).map $ λ r, m+r
theorem mem_range_iff {m n r : ℤ} : r ∈ range m n ↔ m ≤ r ∧ r < n :=
⟨λ H, let ⟨s, h1, h2⟩ := list.mem_map.1 H in h2 ▸
⟨le_add_of_nonneg_right trivial,
add_lt_of_lt_sub_left $ match n-m, h1 with
| (k:ℕ), h1 := by rwa [list.mem_range, to_nat_coe_nat, ← coe_nat_lt] at h1
end⟩,
λ ⟨h1, h2⟩, list.mem_map.2 ⟨to_nat (r-m),
list.mem_range.2 $ by rw [← coe_nat_lt, to_nat_of_nonneg (sub_nonneg_of_le h1),
to_nat_of_nonneg (sub_nonneg_of_le (le_of_lt (lt_of_le_of_lt h1 h2)))];
exact sub_lt_sub_right h2 _,
show m + _ = _, by rw [to_nat_of_nonneg (sub_nonneg_of_le h1), add_sub_cancel'_right]⟩⟩
instance decidable_le_lt (P : int → Prop) [decidable_pred P] (m n : ℤ) : decidable (∀ r, m ≤ r → r < n → P r) :=
decidable_of_iff (∀ r ∈ range m n, P r) $ by simp only [mem_range_iff, and_imp]
instance decidable_le_le (P : int → Prop) [decidable_pred P] (m n : ℤ) : decidable (∀ r, m ≤ r → r ≤ n → P r) :=
decidable_of_iff (∀ r ∈ range m (n+1), P r) $ by simp only [mem_range_iff, and_imp, lt_add_one_iff]
instance decidable_lt_lt (P : int → Prop) [decidable_pred P] (m n : ℤ) : decidable (∀ r, m < r → r < n → P r) :=
int.decidable_le_lt P _ _
instance decidable_lt_le (P : int → Prop) [decidable_pred P] (m n : ℤ) : decidable (∀ r, m < r → r ≤ n → P r) :=
int.decidable_le_le P _ _
end decidable
end int
namespace ring_hom
variables {α : Type*} {β : Type*} {rα : ring α} {rβ : ring β}
include rα
@[simp] lemma eq_int_cast (f : ℤ →+* α) (n : ℤ) : f n = n :=
int.eq_cast f f.map_one f.map_add n
lemma eq_int_cast' (f : ℤ →+* α) : f = int.cast_ring_hom α :=
ring_hom.ext $ int.eq_cast f f.map_one f.map_add
include rβ
@[simp] lemma map_int_cast (f : α →+* β) (n : ℤ) : f n = n :=
(f.comp (int.cast_ring_hom α)).eq_int_cast n
end ring_hom
|
e3b5cf234a3898b8d1686422ecc00266065f098e | 31f556cdeb9239ffc2fad8f905e33987ff4feab9 | /stage0/src/Lean/Elab/Declaration.lean | 699abf33d786d457a39fcb6e4b8ed95d2ca438c4 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | tobiasgrosser/lean4 | ce0fd9cca0feba1100656679bf41f0bffdbabb71 | ebdbdc10436a4d9d6b66acf78aae7a23f5bd073f | refs/heads/master | 1,673,103,412,948 | 1,664,930,501,000 | 1,664,930,501,000 | 186,870,185 | 0 | 0 | Apache-2.0 | 1,665,129,237,000 | 1,557,939,901,000 | Lean | UTF-8 | Lean | false | false | 16,664 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Sebastian Ullrich
-/
import Lean.Util.CollectLevelParams
import Lean.Elab.DeclUtil
import Lean.Elab.DefView
import Lean.Elab.Inductive
import Lean.Elab.Structure
import Lean.Elab.MutualDef
import Lean.Elab.DeclarationRange
namespace Lean.Elab.Command
open Meta
private def ensureValidNamespace (name : Name) : MacroM Unit := do
match name with
| .str p s =>
if s == "_root_" then
Macro.throwError s!"invalid namespace '{name}', '_root_' is a reserved namespace"
ensureValidNamespace p
| .num .. => Macro.throwError s!"invalid namespace '{name}', it must not contain numeric parts"
| .anonymous => return ()
private def setDeclIdName (declId : Syntax) (nameNew : Name) : Syntax :=
let (id, _) := expandDeclIdCore declId
-- We should not update the name of `def _root_.` declarations
assert! !(`_root_).isPrefixOf id
let idStx := mkIdent nameNew |>.raw.setInfo declId.getHeadInfo
if declId.isIdent then
idStx
else
declId.setArg 0 idStx
/-- Return `true` if `stx` is a `Command.declaration`, and it is a definition that always has a name. -/
private def isNamedDef (stx : Syntax) : Bool :=
if !stx.isOfKind ``Lean.Parser.Command.declaration then
false
else
let decl := stx[1]
let k := decl.getKind
k == ``Lean.Parser.Command.abbrev ||
k == ``Lean.Parser.Command.def ||
k == ``Lean.Parser.Command.theorem ||
k == ``Lean.Parser.Command.opaque ||
k == ``Lean.Parser.Command.axiom ||
k == ``Lean.Parser.Command.inductive ||
k == ``Lean.Parser.Command.classInductive ||
k == ``Lean.Parser.Command.structure
/-- Return `true` if `stx` is an `instance` declaration command -/
private def isInstanceDef (stx : Syntax) : Bool :=
stx.isOfKind ``Lean.Parser.Command.declaration &&
stx[1].getKind == ``Lean.Parser.Command.instance
/-- Return `some name` if `stx` is a definition named `name` -/
private def getDefName? (stx : Syntax) : Option Name := do
if isNamedDef stx then
let (id, _) := expandDeclIdCore stx[1][1]
some id
else if isInstanceDef stx then
let optDeclId := stx[1][3]
if optDeclId.isNone then none
else
let (id, _) := expandDeclIdCore optDeclId[0]
some id
else
none
/--
Update the name of the given definition.
This function assumes `stx` is not a nameless instance.
-/
private def setDefName (stx : Syntax) (name : Name) : Syntax :=
if isNamedDef stx then
stx.setArg 1 <| stx[1].setArg 1 <| setDeclIdName stx[1][1] name
else if isInstanceDef stx then
-- We never set the name of nameless instance declarations
assert! !stx[1][3].isNone
stx.setArg 1 <| stx[1].setArg 3 <| stx[1][3].setArg 0 <| setDeclIdName stx[1][3][0] name
else
stx
/--
Given declarations such as `@[...] def Foo.Bla.f ...` return `some (Foo.Bla, @[...] def f ...)`
Remark: if the id starts with `_root_`, we return `none`.
-/
private def expandDeclNamespace? (stx : Syntax) : MacroM (Option (Name × Syntax)) := do
let some name := getDefName? stx | return none
if (`_root_).isPrefixOf name then
ensureValidNamespace (name.replacePrefix `_root_ Name.anonymous)
return none
let scpView := extractMacroScopes name
match scpView.name with
| .str .anonymous _ => return none
| .str pre shortName => return some (pre, setDefName stx { scpView with name := shortName }.review)
| _ => return none
def elabAxiom (modifiers : Modifiers) (stx : Syntax) : CommandElabM Unit := do
-- leading_parser "axiom " >> declId >> declSig
let declId := stx[1]
let (binders, typeStx) := expandDeclSig stx[2]
let scopeLevelNames ← getLevelNames
let ⟨_, declName, allUserLevelNames⟩ ← expandDeclId declId modifiers
addDeclarationRanges declName stx
runTermElabM fun vars =>
Term.withDeclName declName <| Term.withLevelNames allUserLevelNames <| Term.elabBinders binders.getArgs fun xs => do
Term.applyAttributesAt declName modifiers.attrs AttributeApplicationTime.beforeElaboration
let type ← Term.elabType typeStx
Term.synthesizeSyntheticMVarsNoPostponing
let type ← instantiateMVars type
let type ← mkForallFVars xs type
let type ← mkForallFVars vars type (usedOnly := true)
let type ← Term.levelMVarToParam type
let usedParams := collectLevelParams {} type |>.params
match sortDeclLevelParams scopeLevelNames allUserLevelNames usedParams with
| Except.error msg => throwErrorAt stx msg
| Except.ok levelParams =>
let type ← instantiateMVars type
let decl := Declaration.axiomDecl {
name := declName,
levelParams := levelParams,
type := type,
isUnsafe := modifiers.isUnsafe
}
trace[Elab.axiom] "{declName} : {type}"
Term.ensureNoUnassignedMVars decl
addDecl decl
withSaveInfoContext do -- save new env
Term.addTermInfo' declId (← mkConstWithLevelParams declName) (isBinder := true)
Term.applyAttributesAt declName modifiers.attrs AttributeApplicationTime.afterTypeChecking
if isExtern (← getEnv) declName then
compileDecl decl
Term.applyAttributesAt declName modifiers.attrs AttributeApplicationTime.afterCompilation
/-
leading_parser "inductive " >> declId >> optDeclSig >> optional ":=" >> many ctor
leading_parser atomic (group ("class " >> "inductive ")) >> declId >> optDeclSig >> optional ":=" >> many ctor >> optDeriving
-/
private def inductiveSyntaxToView (modifiers : Modifiers) (decl : Syntax) : CommandElabM InductiveView := do
checkValidInductiveModifier modifiers
let (binders, type?) := expandOptDeclSig decl[2]
let declId := decl[1]
let ⟨name, declName, levelNames⟩ ← expandDeclId declId modifiers
addDeclarationRanges declName decl
let ctors ← decl[4].getArgs.mapM fun ctor => withRef ctor do
-- def ctor := leading_parser optional docComment >> "\n| " >> declModifiers >> rawIdent >> optDeclSig
let mut ctorModifiers ← elabModifiers ctor[2]
if let some leadingDocComment := ctor[0].getOptional? then
if ctorModifiers.docString?.isSome then
logErrorAt leadingDocComment "duplicate doc string"
ctorModifiers := { ctorModifiers with docString? := TSyntax.getDocString ⟨leadingDocComment⟩ }
if ctorModifiers.isPrivate && modifiers.isPrivate then
throwError "invalid 'private' constructor in a 'private' inductive datatype"
if ctorModifiers.isProtected && modifiers.isPrivate then
throwError "invalid 'protected' constructor in a 'private' inductive datatype"
checkValidCtorModifier ctorModifiers
let ctorName := ctor.getIdAt 3
let ctorName := declName ++ ctorName
let ctorName ← withRef ctor[3] <| applyVisibility ctorModifiers.visibility ctorName
let (binders, type?) := expandOptDeclSig ctor[4]
addDocString' ctorName ctorModifiers.docString?
addAuxDeclarationRanges ctorName ctor ctor[3]
return { ref := ctor, modifiers := ctorModifiers, declName := ctorName, binders := binders, type? := type? : CtorView }
let computedFields ← (decl[5].getOptional?.map (·[1].getArgs) |>.getD #[]).mapM fun cf => withRef cf do
return { ref := cf, modifiers := cf[0], fieldId := cf[1].getId, type := ⟨cf[3]⟩, matchAlts := ⟨cf[4]⟩ }
let classes ← getOptDerivingClasses decl[6]
return {
ref := decl
shortDeclName := name
derivingClasses := classes
declId, modifiers, declName, levelNames
binders, type?, ctors
computedFields
}
private def classInductiveSyntaxToView (modifiers : Modifiers) (decl : Syntax) : CommandElabM InductiveView :=
inductiveSyntaxToView modifiers decl
def elabInductive (modifiers : Modifiers) (stx : Syntax) : CommandElabM Unit := do
let v ← inductiveSyntaxToView modifiers stx
elabInductiveViews #[v]
def elabClassInductive (modifiers : Modifiers) (stx : Syntax) : CommandElabM Unit := do
let modifiers := modifiers.addAttribute { name := `class }
let v ← classInductiveSyntaxToView modifiers stx
elabInductiveViews #[v]
def getTerminationHints (stx : Syntax) : TerminationHints :=
let decl := stx[1]
let k := decl.getKind
if k == ``Parser.Command.def || k == ``Parser.Command.theorem || k == ``Parser.Command.instance then
let args := decl.getArgs
{ terminationBy? := args[args.size - 2]!.getOptional?, decreasingBy? := args[args.size - 1]!.getOptional? }
else
{}
@[builtinCommandElab declaration]
def elabDeclaration : CommandElab := fun stx => do
match (← liftMacroM <| expandDeclNamespace? stx) with
| some (ns, newStx) => do
let ns := mkIdentFrom stx ns
let newStx ← `(namespace $ns $(⟨newStx⟩) end $ns)
withMacroExpansion stx newStx <| elabCommand newStx
| none => do
let decl := stx[1]
let declKind := decl.getKind
if declKind == ``Lean.Parser.Command.«axiom» then
let modifiers ← elabModifiers stx[0]
elabAxiom modifiers decl
else if declKind == ``Lean.Parser.Command.«inductive» then
let modifiers ← elabModifiers stx[0]
elabInductive modifiers decl
else if declKind == ``Lean.Parser.Command.classInductive then
let modifiers ← elabModifiers stx[0]
elabClassInductive modifiers decl
else if declKind == ``Lean.Parser.Command.«structure» then
let modifiers ← elabModifiers stx[0]
elabStructure modifiers decl
else if isDefLike decl then
elabMutualDef #[stx] (getTerminationHints stx)
else
throwError "unexpected declaration"
/-- Return true if all elements of the mutual-block are inductive declarations. -/
private def isMutualInductive (stx : Syntax) : Bool :=
stx[1].getArgs.all fun elem =>
let decl := elem[1]
let declKind := decl.getKind
declKind == `Lean.Parser.Command.inductive
private def elabMutualInductive (elems : Array Syntax) : CommandElabM Unit := do
let views ← elems.mapM fun stx => do
let modifiers ← elabModifiers stx[0]
inductiveSyntaxToView modifiers stx[1]
elabInductiveViews views
/-- Return true if all elements of the mutual-block are definitions/theorems/abbrevs. -/
private def isMutualDef (stx : Syntax) : Bool :=
stx[1].getArgs.all fun elem =>
let decl := elem[1]
isDefLike decl
private def isMutualPreambleCommand (stx : Syntax) : Bool :=
let k := stx.getKind
k == ``Lean.Parser.Command.variable ||
k == ``Lean.Parser.Command.universe ||
k == ``Lean.Parser.Command.check ||
k == ``Lean.Parser.Command.set_option ||
k == ``Lean.Parser.Command.open
private partial def splitMutualPreamble (elems : Array Syntax) : Option (Array Syntax × Array Syntax) :=
let rec loop (i : Nat) : Option (Array Syntax × Array Syntax) :=
if h : i < elems.size then
let elem := elems.get ⟨i, h⟩
if isMutualPreambleCommand elem then
loop (i+1)
else if i == 0 then
none -- `mutual` block does not contain any preamble commands
else
some (elems[0:i], elems[i:elems.size])
else
none -- a `mutual` block containing only preamble commands is not a valid `mutual` block
loop 0
/--
Find the common namespace for the given names.
Example:
```
findCommonPrefix [`Lean.Elab.eval, `Lean.mkConst, `Lean.Elab.Tactic.evalTactic]
-- `Lean
```
-/
def findCommonPrefix (ns : List Name) : Name :=
match ns with
| [] => .anonymous
| n :: ns => go n ns
where
go (n : Name) (ns : List Name) : Name :=
match n with
| .anonymous => .anonymous
| _ => match ns with
| [] => n
| n' :: ns => go (findCommon n.components n'.components) ns
findCommon (as bs : List Name) : Name :=
match as, bs with
| a :: as, b :: bs => if a == b then a ++ findCommon as bs else .anonymous
| _, _ => .anonymous
@[builtinMacro Lean.Parser.Command.mutual]
def expandMutualNamespace : Macro := fun stx => do
let mut nss := #[]
for elem in stx[1].getArgs do
match (← expandDeclNamespace? elem) with
| none => Macro.throwUnsupported
| some (n, _) => nss := nss.push n
let common := findCommonPrefix nss.toList
if common.isAnonymous then Macro.throwUnsupported
let elemsNew ← stx[1].getArgs.mapM fun elem => do
let some name := getDefName? elem | unreachable!
let view := extractMacroScopes name
let nameNew := { view with name := view.name.replacePrefix common .anonymous }.review
return setDefName elem nameNew
let ns := mkIdentFrom stx common
let stxNew := stx.setArg 1 (mkNullNode elemsNew)
`(namespace $ns $(⟨stxNew⟩) end $ns)
@[builtinMacro Lean.Parser.Command.mutual]
def expandMutualElement : Macro := fun stx => do
let mut elemsNew := #[]
let mut modified := false
for elem in stx[1].getArgs do
match (← expandMacro? elem) with
| some elemNew => elemsNew := elemsNew.push elemNew; modified := true
| none => elemsNew := elemsNew.push elem
if modified then
return stx.setArg 1 (mkNullNode elemsNew)
else
Macro.throwUnsupported
@[builtinMacro Lean.Parser.Command.mutual]
def expandMutualPreamble : Macro := fun stx =>
match splitMutualPreamble stx[1].getArgs with
| none => Macro.throwUnsupported
| some (preamble, rest) => do
let secCmd ← `(section)
let newMutual := stx.setArg 1 (mkNullNode rest)
let endCmd ← `(end)
return mkNullNode (#[secCmd] ++ preamble ++ #[newMutual] ++ #[endCmd])
@[builtinCommandElab «mutual»]
def elabMutual : CommandElab := fun stx => do
let hints := { terminationBy? := stx[3].getOptional?, decreasingBy? := stx[4].getOptional? }
if isMutualInductive stx then
if let some bad := hints.terminationBy? then
throwErrorAt bad "invalid 'termination_by' in mutually inductive datatype declaration"
if let some bad := hints.decreasingBy? then
throwErrorAt bad "invalid 'decreasing_by' in mutually inductive datatype declaration"
elabMutualInductive stx[1].getArgs
else if isMutualDef stx then
for arg in stx[1].getArgs do
let argHints := getTerminationHints arg
if let some bad := argHints.terminationBy? then
throwErrorAt bad "invalid 'termination_by' in 'mutual' block, it must be used after the 'end' keyword"
if let some bad := argHints.decreasingBy? then
throwErrorAt bad "invalid 'decreasing_by' in 'mutual' block, it must be used after the 'end' keyword"
elabMutualDef stx[1].getArgs hints
else
throwError "invalid mutual block"
/- leading_parser "attribute " >> "[" >> sepBy1 (eraseAttr <|> Term.attrInstance) ", " >> "]" >> many1 ident -/
@[builtinCommandElab «attribute»] def elabAttr : CommandElab := fun stx => do
let mut attrInsts := #[]
let mut toErase := #[]
for attrKindStx in stx[2].getSepArgs do
if attrKindStx.getKind == ``Lean.Parser.Command.eraseAttr then
let attrName := attrKindStx[1].getId.eraseMacroScopes
if isAttribute (← getEnv) attrName then
toErase := toErase.push attrName
else
logErrorAt attrKindStx "unknown attribute [{attrName}]"
else
attrInsts := attrInsts.push attrKindStx
let attrs ← elabAttrs attrInsts
let idents := stx[4].getArgs
for ident in idents do withRef ident <| liftTermElabM do
let declName ← resolveGlobalConstNoOverloadWithInfo ident
Term.applyAttributes declName attrs
for attrName in toErase do
Attribute.erase declName attrName
@[builtinMacro Lean.Parser.Command.«initialize»] def expandInitialize : Macro
| stx@`($declModifiers:declModifiers $kw:initializeKeyword $[$id? : $type? ←]? $doSeq) => do
let attrId := mkIdentFrom stx <| if kw.raw[0].isToken "initialize" then `init else `builtinInit
if let (some id, some type) := (id?, type?) then
let `(Parser.Command.declModifiersT| $[$doc?:docComment]? $[@[$attrs?,*]]? $(vis?)? $[unsafe%$unsafe?]?) := stx[0]
| Macro.throwErrorAt declModifiers "invalid initialization command, unexpected modifiers"
`($[unsafe%$unsafe?]? def initFn : IO $type := with_decl_name% ?$id do $doSeq
$[$doc?:docComment]? @[$attrId:ident initFn, $(attrs?.getD ∅),*] $(vis?)? opaque $id : $type)
else
let `(Parser.Command.declModifiersT| $[$doc?:docComment]? ) := declModifiers
| Macro.throwErrorAt declModifiers "invalid initialization command, unexpected modifiers"
`($[$doc?:docComment]? @[$attrId:ident] def initFn : IO Unit := do $doSeq)
| _ => Macro.throwUnsupported
builtin_initialize
registerTraceClass `Elab.axiom
end Lean.Elab.Command
|
6d2652e68a40f175bac84175186f858c8b308fd3 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /library/init/native/anf.lean | 8fcc9b57d489e1f51dbca98f66ee84aff97923bb | [
"Apache-2.0"
] | permissive | bre7k30/lean | de893411bcfa7b3c5572e61b9e1c52951b310aa4 | 5a924699d076dab1bd5af23a8f910b433e598d7a | refs/heads/master | 1,610,900,145,817 | 1,488,006,845,000 | 1,488,006,845,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,249 | lean | /-
Copyright (c) 2016 Jared Roesch. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jared Roesch
-/
prelude
import init.meta.format
import init.meta.expr
import init.data.string
import init.category.state
import init.native.internal
import init.native.ir
import init.native.format
import init.native.builtin
import init.native.util
import init.native.pass
import init.native.config
open native
@[reducible] meta def binding :=
(name × expr × expr)
@[reducible] meta def anf_state :=
(list (list binding) × nat)
@[reducible] meta def anf_monad :=
state anf_state
meta def trace_anf (s : string) : anf_monad unit :=
trace s (return ())
private meta def let_bind (n : name) (ty : expr) (e : expr) : anf_monad unit := do
scopes ← state.read,
match scopes with
| ([], _) := return ()
| ((s :: ss), count) := state.write $ (((n, ty, e) :: s) :: ss, count)
end
private meta def mk_let : list binding → expr → expr
| [] body := body
| ((n, ty, val) :: es) body :=
mk_let es (expr.elet n ty val (expr.abstract body (mk_local n)))
private meta def mk_let_in_current_scope (body : expr) : anf_monad expr := do
(scopes, _) ← state.read,
match scopes with
| [] := pure $ body
| (top :: _) := return $ mk_let top body
end
private meta def enter_scope (action : anf_monad expr) : anf_monad expr := do
(scopes, count) ← state.read,
state.write ([] :: scopes, count),
result ← action,
bound_result ← mk_let_in_current_scope result,
state.write (scopes, count),
return bound_result
private meta def fresh_name : anf_monad name := do
(ss, count) ← state.read,
-- need to replace this with unique prefix as per our earlier conversation
n ← pure $ name.mk_numeral (unsigned.of_nat count) `_anf_,
state.write (ss, count + 1),
return n
-- Hoist a set of expressions above the result of the callback
-- function.
meta def hoist
(anf : expr → anf_monad expr)
(kont : list name → anf_monad expr) : list expr → anf_monad expr
| [] := kont []
| es := do
ns ← monad.for es $ (fun x, do
value ← anf x,
fresh ← fresh_name,
let_bind fresh mk_neutral_expr value,
return fresh),
kont ns
private meta def anf_constructor (head : expr) (args : list expr) (anf : expr → anf_monad expr) : anf_monad expr :=
hoist anf (fun args', return $ mk_call head (list.map mk_local args')) args
private meta def anf_call (head : expr) (args : list expr) (anf : expr → anf_monad expr) : anf_monad expr := do
hoist anf (fun ns, match ns with
-- need to think about how to refactor this, we should get at least one back from here always
-- this case should never happen
| [] := return head
| (head' :: args') := return $ mk_call (mk_local head') (list.map mk_local args')
end) (head :: args)
private meta def anf_case (action : expr → anf_monad expr) (e : expr) : anf_monad expr := do
under_lambda fresh_name (fun e', enter_scope (action e')) e
private meta def anf_cases_on (head : expr) (args : list expr) (anf : expr → anf_monad expr) : anf_monad expr := do
match args with
| [] := return $ mk_call head []
| (scrut :: cases) := do
scrut' ← anf scrut,
cases' ← monad.mapm (anf_case anf) cases,
return $ mk_call head (scrut' :: cases')
end
-- stop deleting this, not sure why I keep removing this line of code
open application_kind
private meta def anf' : expr → anf_monad expr
| (expr.elet n ty val body) := do
fresh ← fresh_name,
val' ← anf' val,
let_bind fresh ty val',
anf' (expr.instantiate_vars body [mk_local fresh])
| (expr.app f arg) := do
let fn := expr.get_app_fn (expr.app f arg),
let args := expr.get_app_args (expr.app f arg),
match app_kind fn with
| cases := anf_cases_on fn args anf'
| constructor := anf_constructor fn args anf'
| other := anf_call fn args anf'
end
| e := return e
private meta def init_state : anf_state :=
([], 0)
private meta def anf_transform (conf : config) (e : expr) : expr :=
prod.fst $ (under_lambda fresh_name (enter_scope ∘ anf') e) init_state
meta def anf : pass := {
name := "anf",
transform := fun conf proc, procedure.map_body (fun e, anf_transform conf e) proc
}
|
f7113e1552f6c172587410a26ffbfe1887c85b18 | ae1e94c332e17c7dc7051ce976d5a9eebe7ab8a5 | /src/Init/Meta.lean | 47ccf85d90a53cbe21a3a186a199e60ab2a61fa4 | [
"Apache-2.0"
] | permissive | dupuisf/lean4 | d082d13b01243e1de29ae680eefb476961221eef | 6a39c65bd28eb0e28c3870188f348c8914502718 | refs/heads/master | 1,676,948,755,391 | 1,610,665,114,000 | 1,610,665,114,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 29,984 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura and Sebastian Ullrich
Additional goodies for writing macros
-/
prelude
import Init.Data.Array.Basic
namespace Lean
@[extern c inline "lean_box(LEAN_VERSION_MAJOR)"]
private constant version.getMajor (u : Unit) : Nat
def version.major : Nat := version.getMajor ()
@[extern c inline "lean_box(LEAN_VERSION_MINOR)"]
private constant version.getMinor (u : Unit) : Nat
def version.minor : Nat := version.getMinor ()
@[extern c inline "lean_box(LEAN_VERSION_PATCH)"]
private constant version.getPatch (u : Unit) : Nat
def version.patch : Nat := version.getPatch ()
-- @[extern c inline "lean_mk_string(LEAN_GITHASH)"]
-- constant getGithash (u : Unit) : String
-- def githash : String := getGithash ()
@[extern c inline "LEAN_VERSION_IS_RELEASE"]
constant version.getIsRelease (u : Unit) : Bool
def version.isRelease : Bool := version.getIsRelease ()
/-- Additional version description like "nightly-2018-03-11" -/
@[extern c inline "lean_mk_string(LEAN_SPECIAL_VERSION_DESC)"]
constant version.getSpecialDesc (u : Unit) : String
def version.specialDesc : String := version.getSpecialDesc ()
/- Valid identifier names -/
def isGreek (c : Char) : Bool :=
0x391 ≤ c.val && c.val ≤ 0x3dd
def isLetterLike (c : Char) : Bool :=
(0x3b1 ≤ c.val && c.val ≤ 0x3c9 && c.val ≠ 0x3bb) || -- Lower greek, but lambda
(0x391 ≤ c.val && c.val ≤ 0x3A9 && c.val ≠ 0x3A0 && c.val ≠ 0x3A3) || -- Upper greek, but Pi and Sigma
(0x3ca ≤ c.val && c.val ≤ 0x3fb) || -- Coptic letters
(0x1f00 ≤ c.val && c.val ≤ 0x1ffe) || -- Polytonic Greek Extended Character Set
(0x2100 ≤ c.val && c.val ≤ 0x214f) || -- Letter like block
(0x1d49c ≤ c.val && c.val ≤ 0x1d59f) -- Latin letters, Script, Double-struck, Fractur
def isNumericSubscript (c : Char) : Bool :=
0x2080 ≤ c.val && c.val ≤ 0x2089
def isSubScriptAlnum (c : Char) : Bool :=
isNumericSubscript c ||
(0x2090 ≤ c.val && c.val ≤ 0x209c) ||
(0x1d62 ≤ c.val && c.val ≤ 0x1d6a)
def isIdFirst (c : Char) : Bool :=
c.isAlpha || c = '_' || isLetterLike c
def isIdRest (c : Char) : Bool :=
c.isAlphanum || c = '_' || c = '\'' || c == '!' || c == '?' || isLetterLike c || isSubScriptAlnum c
def idBeginEscape := '«'
def idEndEscape := '»'
def isIdBeginEscape (c : Char) : Bool := c = idBeginEscape
def isIdEndEscape (c : Char) : Bool := c = idEndEscape
namespace Name
def toStringWithSep (sep : String) : Name → String
| anonymous => "[anonymous]"
| str anonymous s _ => s
| num anonymous v _ => toString v
| str n s _ => toStringWithSep sep n ++ sep ++ s
| num n v _ => toStringWithSep sep n ++ sep ++ Nat.repr v
protected def toString : Name → String :=
toStringWithSep "."
instance : ToString Name where
toString n := n.toString
instance : Repr Name where
reprPrec n _ := Std.Format.text "`" ++ n.toString
def capitalize : Name → Name
| Name.str p s _ => Name.mkStr p s.capitalize
| n => n
def appendAfter : Name → String → Name
| str p s _, suffix => Name.mkStr p (s ++ suffix)
| n, suffix => Name.mkStr n suffix
def appendIndexAfter : Name → Nat → Name
| str p s _, idx => Name.mkStr p (s ++ "_" ++ toString idx)
| n, idx => Name.mkStr n ("_" ++ toString idx)
def appendBefore : Name → String → Name
| anonymous, pre => Name.mkStr anonymous pre
| str p s _, pre => Name.mkStr p (pre ++ s)
| num p n _, pre => Name.mkNum (Name.mkStr p pre) n
end Name
structure NameGenerator where
namePrefix : Name := `_uniq
idx : Nat := 1
deriving Inhabited
namespace NameGenerator
@[inline] def curr (g : NameGenerator) : Name :=
Name.mkNum g.namePrefix g.idx
@[inline] def next (g : NameGenerator) : NameGenerator :=
{ g with idx := g.idx + 1 }
@[inline] def mkChild (g : NameGenerator) : NameGenerator × NameGenerator :=
({ namePrefix := Name.mkNum g.namePrefix g.idx, idx := 1 },
{ g with idx := g.idx + 1 })
end NameGenerator
class MonadNameGenerator (m : Type → Type) where
getNGen : m NameGenerator
setNGen : NameGenerator → m Unit
export MonadNameGenerator (getNGen setNGen)
def mkFreshId {m : Type → Type} [Monad m] [MonadNameGenerator m] : m Name := do
let ngen ← getNGen
let r := ngen.curr
setNGen ngen.next
pure r
instance monadNameGeneratorLift (m n : Type → Type) [MonadLift m n] [MonadNameGenerator m] : MonadNameGenerator n := {
getNGen := liftM (getNGen : m _),
setNGen := fun ngen => liftM (setNGen ngen : m _)
}
namespace Syntax
partial def getTailInfo : Syntax → Option SourceInfo
| atom info _ => info
| ident info .. => info
| node _ args => args.findSomeRev? getTailInfo
| _ => none
partial def getTailPos : Syntax → Option String.Pos
| atom { pos := some pos, .. } val => some (pos + val.bsize)
| ident { pos := some pos, .. } val .. => some (pos + val.toString.bsize)
| node _ args => args.findSomeRev? getTailPos
| _ => none
@[specialize] private partial def updateLast {α} [Inhabited α] (a : Array α) (f : α → Option α) (i : Nat) : Option (Array α) :=
if i == 0 then
none
else
let i := i - 1
let v := a[i]
match f v with
| some v => some <| a.set! i v
| none => updateLast a f i
partial def setTailInfoAux (info : SourceInfo) : Syntax → Option Syntax
| atom _ val => some <| atom info val
| ident _ rawVal val pre => some <| ident info rawVal val pre
| node k args =>
match updateLast args (setTailInfoAux info) args.size with
| some args => some <| node k args
| none => none
| stx => none
def setTailInfo (stx : Syntax) (info : SourceInfo) : Syntax :=
match setTailInfoAux info stx with
| some stx => stx
| none => stx
def unsetTrailing (stx : Syntax) : Syntax :=
match stx.getTailInfo with
| none => stx
| some info => stx.setTailInfo { info with trailing := none }
@[specialize] private partial def updateFirst {α} [Inhabited α] (a : Array α) (f : α → Option α) (i : Nat) : Option (Array α) :=
if h : i < a.size then
let v := a.get ⟨i, h⟩;
match f v with
| some v => some <| a.set ⟨i, h⟩ v
| none => updateFirst a f (i+1)
else
none
partial def setHeadInfoAux (info : SourceInfo) : Syntax → Option Syntax
| atom _ val => some <| atom info val
| ident _ rawVal val pre => some <| ident info rawVal val pre
| node k args =>
match updateFirst args (setHeadInfoAux info) 0 with
| some args => some <| node k args
| noxne => none
| stx => none
def setHeadInfo (stx : Syntax) (info : SourceInfo) : Syntax :=
match setHeadInfoAux info stx with
| some stx => stx
| none => stx
def setInfo (info : SourceInfo) : Syntax → Syntax
| atom _ val => atom info val
| ident _ rawVal val pre => ident info rawVal val pre
| stx => stx
partial def replaceInfo (info : SourceInfo) : Syntax → Syntax
| node k args => node k <| args.map (replaceInfo info)
| stx => setInfo info stx
def copyHeadInfo (s : Syntax) (source : Syntax) : Syntax :=
match source.getHeadInfo with
| none => s
| some info => s.setHeadInfo info
def copyTailInfo (s : Syntax) (source : Syntax) : Syntax :=
match source.getTailInfo with
| none => s
| some info => s.setTailInfo info
def copyInfo (s : Syntax) (source : Syntax) : Syntax :=
let s := s.copyHeadInfo source
s.copyTailInfo source
/--
Copy head and tail position information from `source` to `s`.
`leading` and `trailing` information is not preserved. -/
def copyRangePos (s : Syntax) (source : Syntax) : Syntax :=
match source.getPos with
| none => s
| some pos =>
let s := s.setHeadInfo { pos := pos }
match source.getTailInfo with
| some { pos := some pos, .. } =>
let s := s.setTailInfo { pos := pos }
/- The trailing token at `s` may be different from `source`.
So, we retrieve the tail positions and adjust `pos` to make sure the `s.getTailPos == source.getTailPos`. -/
match source.getTailPos, s.getTailPos with
| some pos₁, some pos₂ =>
if pos₁ < pos₂ then
s.setTailInfo { pos := some ((pos : Nat) - (pos₂ - pos₁) : Nat) }
else if pos₁ > pos₂ then
s.setTailInfo { pos := some ((pos : Nat) + (pos₁ - pos₂) : Nat) }
else
s
| _, _ => s
| _ => s
/-- Return the first atom/identifier that has position information -/
partial def getHead? : Syntax → Option Syntax
| stx@(atom { pos := some _, .. } ..) => some stx
| stx@(ident { pos := some _, .. } ..) => some stx
| node _ args => args.findSome? getHead?
| _ => none
end Syntax
/-- Use the head atom/identifier of the current `ref` as the `ref` -/
@[inline] def withHeadRefOnly {m : Type → Type} [Monad m] [MonadRef m] {α} (x : m α) : m α := do
match (← getRef).getHead? with
| none => x
| some ref => withRef ref x
def mkAtom (val : String) : Syntax :=
Syntax.atom {} val
@[inline] def mkNode (k : SyntaxNodeKind) (args : Array Syntax) : Syntax :=
Syntax.node k args
/- Syntax objects for a Lean module. -/
structure Module where
header : Syntax
commands : Array Syntax
/-- Expand all macros in the given syntax -/
partial def expandMacros : Syntax → MacroM Syntax
| stx@(Syntax.node k args) => do
match (← expandMacro? stx) with
| some stxNew => expandMacros stxNew
| none => do
let args ← Macro.withIncRecDepth stx <| args.mapM expandMacros
pure <| Syntax.node k args
| stx => pure stx
/- Helper functions for processing Syntax programmatically -/
/--
Create an identifier using `SourceInfo` from `src`.
To refer to a specific constant, use `mkCIdentFrom` instead. -/
def mkIdentFrom (src : Syntax) (val : Name) : Syntax :=
let info := src.getHeadInfo.getD {}
Syntax.ident info (toString val).toSubstring val []
/--
Create an identifier referring to a constant `c` using `SourceInfo` from `src`.
This variant of `mkIdentFrom` makes sure that the identifier cannot accidentally
be captured. -/
def mkCIdentFrom (src : Syntax) (c : Name) : Syntax :=
let info := src.getHeadInfo.getD {}
-- Remark: We use the reserved macro scope to make sure there are no accidental collision with our frontend
let id := addMacroScope `_internal c reservedMacroScope
Syntax.ident info (toString id).toSubstring id [(c, [])]
def mkCIdent (c : Name) : Syntax :=
mkCIdentFrom Syntax.missing c
def Syntax.identToAtom (stx : Syntax) : Syntax :=
match stx with
| Syntax.ident info _ val _ => Syntax.atom info (toString val.eraseMacroScopes)
| _ => stx
@[export lean_mk_syntax_ident]
def mkIdent (val : Name) : Syntax :=
Syntax.ident {} (toString val).toSubstring val []
@[inline] def mkNullNode (args : Array Syntax := #[]) : Syntax :=
Syntax.node nullKind args
def mkSepArray (as : Array Syntax) (sep : Syntax) : Array Syntax := do
let mut i := 0
let mut r := #[]
for a in as do
if i > 0 then
r := r.push sep |>.push a
else
r := r.push a
i := i + 1
return r
def mkOptionalNode (arg : Option Syntax) : Syntax :=
match arg with
| some arg => Syntax.node nullKind #[arg]
| none => Syntax.node nullKind #[]
def mkHole (ref : Syntax) : Syntax :=
Syntax.node `Lean.Parser.Term.hole #[mkAtomFrom ref "_"]
namespace Syntax
def mkSep (a : Array Syntax) (sep : Syntax) : Syntax :=
mkNullNode <| mkSepArray a sep
def SepArray.ofElems {sep} (elems : Array Syntax) : SepArray sep :=
⟨mkSepArray elems (mkAtom sep)⟩
def SepArray.ofElemsUsingRef [Monad m] [MonadRef m] {sep} (elems : Array Syntax) : m (SepArray sep) := do
let ref ← getRef;
return ⟨mkSepArray elems (mkAtomFrom ref sep)⟩
instance (sep) : Coe (Array Syntax) (SepArray sep) where
coe := SepArray.ofElems
/-- Create syntax representing a Lean term application, but avoid degenerate empty applications. -/
def mkApp (fn : Syntax) : (args : Array Syntax) → Syntax
| #[] => fn
| args => Syntax.node `Lean.Parser.Term.app #[fn, mkNullNode args]
def mkCApp (fn : Name) (args : Array Syntax) : Syntax :=
mkApp (mkCIdent fn) args
def mkLit (kind : SyntaxNodeKind) (val : String) (info : SourceInfo := {}) : Syntax :=
let atom : Syntax := Syntax.atom info val
Syntax.node kind #[atom]
def mkStrLit (val : String) (info : SourceInfo := {}) : Syntax :=
mkLit strLitKind (String.quote val) info
def mkNumLit (val : String) (info : SourceInfo := {}) : Syntax :=
mkLit numLitKind val info
def mkScientificLit (val : String) (info : SourceInfo := {}) : Syntax :=
mkLit scientificLitKind val info
/- Recall that we don't have special Syntax constructors for storing numeric and string atoms.
The idea is to have an extensible approach where embedded DSLs may have new kind of atoms and/or
different ways of representing them. So, our atoms contain just the parsed string.
The main Lean parser uses the kind `numLitKind` for storing natural numbers that can be encoded
in binary, octal, decimal and hexadecimal format. `isNatLit` implements a "decoder"
for Syntax objects representing these numerals. -/
private partial def decodeBinLitAux (s : String) (i : String.Pos) (val : Nat) : Option Nat :=
if s.atEnd i then some val
else
let c := s.get i
if c == '0' then decodeBinLitAux s (s.next i) (2*val)
else if c == '1' then decodeBinLitAux s (s.next i) (2*val + 1)
else none
private partial def decodeOctalLitAux (s : String) (i : String.Pos) (val : Nat) : Option Nat :=
if s.atEnd i then some val
else
let c := s.get i
if '0' ≤ c && c ≤ '7' then decodeOctalLitAux s (s.next i) (8*val + c.toNat - '0'.toNat)
else none
private def decodeHexDigit (s : String) (i : String.Pos) : Option (Nat × String.Pos) :=
let c := s.get i
let i := s.next i
if '0' ≤ c && c ≤ '9' then some (c.toNat - '0'.toNat, i)
else if 'a' ≤ c && c ≤ 'f' then some (10 + c.toNat - 'a'.toNat, i)
else if 'A' ≤ c && c ≤ 'F' then some (10 + c.toNat - 'A'.toNat, i)
else none
private partial def decodeHexLitAux (s : String) (i : String.Pos) (val : Nat) : Option Nat :=
if s.atEnd i then some val
else match decodeHexDigit s i with
| some (d, i) => decodeHexLitAux s i (16*val + d)
| none => none
private partial def decodeDecimalLitAux (s : String) (i : String.Pos) (val : Nat) : Option Nat :=
if s.atEnd i then some val
else
let c := s.get i
if '0' ≤ c && c ≤ '9' then decodeDecimalLitAux s (s.next i) (10*val + c.toNat - '0'.toNat)
else none
def decodeNatLitVal? (s : String) : Option Nat :=
let len := s.length
if len == 0 then none
else
let c := s.get 0
if c == '0' then
if len == 1 then some 0
else
let c := s.get 1
if c == 'x' || c == 'X' then decodeHexLitAux s 2 0
else if c == 'b' || c == 'B' then decodeBinLitAux s 2 0
else if c == 'o' || c == 'O' then decodeOctalLitAux s 2 0
else if c.isDigit then decodeDecimalLitAux s 0 0
else none
else if c.isDigit then decodeDecimalLitAux s 0 0
else none
def isLit? (litKind : SyntaxNodeKind) (stx : Syntax) : Option String :=
match stx with
| Syntax.node k args =>
if k == litKind && args.size == 1 then
match args.get! 0 with
| (Syntax.atom _ val) => some val
| _ => none
else
none
| _ => none
private def isNatLitAux (litKind : SyntaxNodeKind) (stx : Syntax) : Option Nat :=
match isLit? litKind stx with
| some val => decodeNatLitVal? val
| _ => none
def isNatLit? (s : Syntax) : Option Nat :=
isNatLitAux numLitKind s
def isFieldIdx? (s : Syntax) : Option Nat :=
isNatLitAux fieldIdxKind s
partial def decodeScientificLitVal? (s : String) : Option (Nat × Bool × Nat) :=
let len := s.length
if len == 0 then none
else
let c := s.get 0
if c.isDigit then
decode 0 0
else none
where
decodeAfterExp (i : String.Pos) (val : Nat) (e : Nat) (sign : Bool) (exp : Nat) : Option (Nat × Bool × Nat) :=
if s.atEnd i then
if sign then
some (val, sign, exp + e)
else if exp >= e then
some (val, sign, exp - e)
else
some (val, true, e - exp)
else
let c := s.get i
if '0' ≤ c && c ≤ '9' then
decodeAfterExp (s.next i) val e sign (10*exp + c.toNat - '0'.toNat)
else
none
decodeExp (i : String.Pos) (val : Nat) (e : Nat) : Option (Nat × Bool × Nat) :=
let c := s.get i
if c == '-' then
decodeAfterExp (s.next i) val e true 0
else
decodeAfterExp i val e false 0
decodeAfterDot (i : String.Pos) (val : Nat) (e : Nat) : Option (Nat × Bool × Nat) :=
if s.atEnd i then
some (val, true, e)
else
let c := s.get i
if '0' ≤ c && c ≤ '9' then
decodeAfterDot (s.next i) (10*val + c.toNat - '0'.toNat) (e+1)
else if c == 'e' || c == 'E' then
decodeExp (s.next i) val e
else
none
decode (i : String.Pos) (val : Nat) : Option (Nat × Bool × Nat) :=
if s.atEnd i then
none
else
let c := s.get i
if '0' ≤ c && c ≤ '9' then
decode (s.next i) (10*val + c.toNat - '0'.toNat)
else if c == '.' then
decodeAfterDot (s.next i) val 0
else if c == 'e' || c == 'E' then
decodeExp (s.next i) val 0
else
none
def isScientificLit? (stx : Syntax) : Option (Nat × Bool × Nat) :=
match isLit? scientificLitKind stx with
| some val => decodeScientificLitVal? val
| _ => none
def isIdOrAtom? : Syntax → Option String
| Syntax.atom _ val => some val
| Syntax.ident _ rawVal _ _ => some rawVal.toString
| _ => none
def toNat (stx : Syntax) : Nat :=
match stx.isNatLit? with
| some val => val
| none => 0
def decodeQuotedChar (s : String) (i : String.Pos) : Option (Char × String.Pos) := do
let c := s.get i
let i := s.next i
if c == '\\' then pure ('\\', i)
else if c = '\"' then pure ('\"', i)
else if c = '\'' then pure ('\'', i)
else if c = 'r' then pure ('\r', i)
else if c = 'n' then pure ('\n', i)
else if c = 't' then pure ('\t', i)
else if c = 'x' then
let (d₁, i) ← decodeHexDigit s i
let (d₂, i) ← decodeHexDigit s i
pure (Char.ofNat (16*d₁ + d₂), i)
else if c = 'u' then do
let (d₁, i) ← decodeHexDigit s i
let (d₂, i) ← decodeHexDigit s i
let (d₃, i) ← decodeHexDigit s i
let (d₄, i) ← decodeHexDigit s i
pure (Char.ofNat (16*(16*(16*d₁ + d₂) + d₃) + d₄), i)
else
none
partial def decodeStrLitAux (s : String) (i : String.Pos) (acc : String) : Option String := do
let c := s.get i
let i := s.next i
if c == '\"' then
pure acc
else if s.atEnd i then
none
else if c == '\\' then do
let (c, i) ← decodeQuotedChar s i
decodeStrLitAux s i (acc.push c)
else
decodeStrLitAux s i (acc.push c)
def decodeStrLit (s : String) : Option String :=
decodeStrLitAux s 1 ""
def isStrLit? (stx : Syntax) : Option String :=
match isLit? strLitKind stx with
| some val => decodeStrLit val
| _ => none
def decodeCharLit (s : String) : Option Char :=
let c := s.get 1
if c == '\\' then do
let (c, _) ← decodeQuotedChar s 2
pure c
else
pure c
def isCharLit? (stx : Syntax) : Option Char :=
match isLit? charLitKind stx with
| some val => decodeCharLit val
| _ => none
private partial def decodeNameLitAux (s : String) (i : Nat) (r : Name) : Option Name := do
let continue? (i : Nat) (r : Name) : Option Name :=
if s.get i == '.' then
decodeNameLitAux s (s.next i) r
else if s.atEnd i then
pure r
else
none
let curr := s.get i
if isIdBeginEscape curr then
let startPart := s.next i
let stopPart := s.nextUntil isIdEndEscape startPart
if !isIdEndEscape (s.get stopPart) then none
else continue? (s.next stopPart) (Name.mkStr r (s.extract startPart stopPart))
else if isIdFirst curr then
let startPart := i
let stopPart := s.nextWhile isIdRest startPart
continue? stopPart (Name.mkStr r (s.extract startPart stopPart))
else
none
def decodeNameLit (s : String) : Option Name :=
if s.get 0 == '`' then
decodeNameLitAux s 1 Name.anonymous
else
none
def isNameLit? (stx : Syntax) : Option Name :=
match isLit? nameLitKind stx with
| some val => decodeNameLit val
| _ => none
def hasArgs : Syntax → Bool
| Syntax.node _ args => args.size > 0
| _ => false
def identToStrLit (stx : Syntax) : Syntax :=
match stx with
| Syntax.ident info _ val _ => mkStrLit (toString val) info
| _ => stx
def strLitToAtom (stx : Syntax) : Syntax :=
match stx.isStrLit? with
| none => stx
| some val => match stx.getHeadInfo with
| some info => Syntax.atom info val
| none => unreachable!
def isAtom : Syntax → Bool
| atom _ _ => true
| _ => false
def isToken (token : String) : Syntax → Bool
| atom _ val => val.trim == token.trim
| _ => false
def isIdent : Syntax → Bool
| ident _ _ _ _ => true
| _ => false
def getId : Syntax → Name
| ident _ _ val _ => val
| _ => Name.anonymous
def isNone (stx : Syntax) : Bool :=
match stx with
| Syntax.node k args => k == nullKind && args.size == 0
-- when elaborating partial syntax trees, it's reasonable to interpret missing parts as `none`
| Syntax.missing => true
| _ => false
def getOptional? (stx : Syntax) : Option Syntax :=
match stx with
| Syntax.node k args => if k == nullKind && args.size == 1 then some (args.get! 0) else none
| _ => none
def getOptionalIdent? (stx : Syntax) : Option Name :=
match stx.getOptional? with
| some stx => some stx.getId
| none => none
partial def findAux (p : Syntax → Bool) : Syntax → Option Syntax
| stx@(Syntax.node _ args) => if p stx then some stx else args.findSome? (findAux p)
| stx => if p stx then some stx else none
def find? (stx : Syntax) (p : Syntax → Bool) : Option Syntax :=
findAux p stx
end Syntax
/-- Reflect a runtime datum back to surface syntax (best-effort). -/
class Quote (α : Type) where
quote : α → Syntax
export Quote (quote)
instance : Quote Syntax := ⟨id⟩
instance : Quote Bool := ⟨fun | true => mkCIdent `Bool.true | false => mkCIdent `Bool.false⟩
instance : Quote String := ⟨Syntax.mkStrLit⟩
instance : Quote Nat := ⟨fun n => Syntax.mkNumLit <| toString n⟩
instance : Quote Substring := ⟨fun s => Syntax.mkCApp `String.toSubstring #[quote s.toString]⟩
private def quoteName : Name → Syntax
| Name.anonymous => mkCIdent ``Name.anonymous
| Name.str n s _ => Syntax.mkCApp ``Name.mkStr #[quoteName n, quote s]
| Name.num n i _ => Syntax.mkCApp ``Name.mkNum #[quoteName n, quote i]
instance : Quote Name := ⟨quoteName⟩
instance {α β : Type} [Quote α] [Quote β] : Quote (α × β) where
quote
| ⟨a, b⟩ => Syntax.mkCApp ``Prod.mk #[quote a, quote b]
private def quoteList {α : Type} [Quote α] : List α → Syntax
| [] => mkCIdent ``List.nil
| (x::xs) => Syntax.mkCApp ``List.cons #[quote x, quoteList xs]
instance {α : Type} [Quote α] : Quote (List α) where
quote := quoteList
instance {α : Type} [Quote α] : Quote (Array α) where
quote xs := Syntax.mkCApp ``List.toArray #[quote xs.toList]
private def quoteOption {α : Type} [Quote α] : Option α → Syntax
| none => mkIdent ``none
| (some x) => Syntax.mkCApp ``some #[quote x]
instance Option.hasQuote {α : Type} [Quote α] : Quote (Option α) where
quote := quoteOption
/- Evaluator for `prec` DSL -/
def evalPrec (stx : Syntax) : MacroM Nat :=
Macro.withIncRecDepth stx do
let stx ← expandMacros stx
match stx with
| `(prec| $num:numLit) => return num.isNatLit?.getD 0
| _ => Macro.throwErrorAt stx "unexpected precedence"
macro_rules
| `(prec| $a + $b) => do `(prec| $(quote <| (← evalPrec a) + (← evalPrec b)):numLit)
macro_rules
| `(prec| $a - $b) => do `(prec| $(quote <| (← evalPrec a) - (← evalPrec b)):numLit)
macro "evalPrec! " p:prec:max : term => return quote (← evalPrec p)
def evalOptPrec : Option Syntax → MacroM Nat
| some prec => evalPrec prec
| none => return 0
/- Evaluator for `prio` DSL -/
def evalPrio (stx : Syntax) : MacroM Nat :=
Macro.withIncRecDepth stx do
let stx ← expandMacros stx
match stx with
| `(prio| $num:numLit) => return num.isNatLit?.getD 0
| _ => Macro.throwErrorAt stx "unexpected priority"
macro_rules
| `(prio| $a + $b) => do `(prio| $(quote <| (← evalPrio a) + (← evalPrio b)):numLit)
macro_rules
| `(prio| $a - $b) => do `(prio| $(quote <| (← evalPrio a) - (← evalPrio b)):numLit)
macro "evalPrio! " p:prio:max : term => return quote (← evalPrio p)
def evalOptPrio : Option Syntax → MacroM Nat
| some prio => evalPrio prio
| none => return evalPrio! default
end Lean
namespace Array
abbrev getSepElems := @getEvenElems
open Lean
private partial def filterSepElemsMAux {m : Type → Type} [Monad m] (a : Array Syntax) (p : Syntax → m Bool) (i : Nat) (acc : Array Syntax) : m (Array Syntax) := do
if h : i < a.size then
let stx := a.get ⟨i, h⟩
if (← p stx) then
if acc.isEmpty then
filterSepElemsMAux a p (i+2) (acc.push stx)
else if hz : i ≠ 0 then
have i.pred < i from Nat.predLt hz
let sepStx := a.get ⟨i.pred, Nat.ltTrans this h⟩
filterSepElemsMAux a p (i+2) ((acc.push sepStx).push stx)
else
filterSepElemsMAux a p (i+2) (acc.push stx)
else
filterSepElemsMAux a p (i+2) acc
else
pure acc
def filterSepElemsM {m : Type → Type} [Monad m] (a : Array Syntax) (p : Syntax → m Bool) : m (Array Syntax) :=
filterSepElemsMAux a p 0 #[]
def filterSepElems (a : Array Syntax) (p : Syntax → Bool) : Array Syntax :=
Id.run <| a.filterSepElemsM p
private partial def mapSepElemsMAux {m : Type → Type} [Monad m] (a : Array Syntax) (f : Syntax → m Syntax) (i : Nat) (acc : Array Syntax) : m (Array Syntax) := do
if h : i < a.size then
let stx := a.get ⟨i, h⟩
if i % 2 == 0 then do
let stx ← f stx
mapSepElemsMAux a f (i+1) (acc.push stx)
else
mapSepElemsMAux a f (i+1) (acc.push stx)
else
pure acc
def mapSepElemsM {m : Type → Type} [Monad m] (a : Array Syntax) (f : Syntax → m Syntax) : m (Array Syntax) :=
mapSepElemsMAux a f 0 #[]
def mapSepElems (a : Array Syntax) (f : Syntax → Syntax) : Array Syntax :=
Id.run <| a.mapSepElemsM f
end Array
namespace Lean.Syntax.SepArray
def getElems {sep} (sa : SepArray sep) : Array Syntax :=
sa.elemsAndSeps.getSepElems
instance (sep) : Coe (SepArray sep) (Array Syntax) where
coe := getElems
end Lean.Syntax.SepArray
/--
Gadget for automatic parameter support. This is similar to the `optParam` gadget, but it uses
the given tactic.
Like `optParam`, this gadget only affects elaboration.
For example, the tactic will *not* be invoked during type class resolution. -/
abbrev autoParam.{u} (α : Sort u) (tactic : Lean.Syntax) : Sort u := α
/- Helper functions for manipulating interpolated strings -/
namespace Lean.Syntax
private def decodeInterpStrQuotedChar (s : String) (i : String.Pos) : Option (Char × String.Pos) :=
match decodeQuotedChar s i with
| some r => some r
| none =>
let c := s.get i
let i := s.next i
if c == '{' then pure ('{', i)
else none
private partial def decodeInterpStrLit (s : String) : Option String :=
let rec loop (i : String.Pos) (acc : String) :=
let c := s.get i
let i := s.next i
if c == '\"' || c == '{' then
pure acc
else if s.atEnd i then
none
else if c == '\\' then do
let (c, i) ← decodeInterpStrQuotedChar s i
loop i (acc.push c)
else
loop i (acc.push c)
loop 1 ""
partial def isInterpolatedStrLit? (stx : Syntax) : Option String :=
match isLit? interpolatedStrLitKind stx with
| none => none
| some val => decodeInterpStrLit val
def expandInterpolatedStrChunks (chunks : Array Syntax) (mkAppend : Syntax → Syntax → MacroM Syntax) (mkElem : Syntax → MacroM Syntax) : MacroM Syntax := do
let mut i := 0
let mut result := Syntax.missing
for elem in chunks do
let elem ← match elem.isInterpolatedStrLit? with
| none => mkElem elem
| some str => mkElem (Syntax.mkStrLit str)
if i == 0 then
result := elem
else
result ← mkAppend result elem
i := i+1
return result
def expandInterpolatedStr (interpStr : Syntax) (type : Syntax) (toTypeFn : Syntax) : MacroM Syntax := do
let ref := interpStr
let r ← expandInterpolatedStrChunks interpStr.getArgs (fun a b => `($a ++ $b)) (fun a => `($toTypeFn $a))
`(($r : $type))
def getSepArgs (stx : Syntax) : Array Syntax :=
stx.getArgs.getSepElems
end Syntax
namespace Meta.Simp
def defaultMaxSteps := 100000
structure Config where
maxSteps : Nat := defaultMaxSteps
contextual : Bool := false
memoize : Bool := true
singlePass : Bool := false
zeta : Bool := true
beta : Bool := true
eta : Bool := true
iota : Bool := true
proj : Bool := true
ctorEq : Bool := true
deriving Inhabited, BEq, Repr
end Meta.Simp
end Lean
|
9068cc78254f1923f375b55361003764a3a03a96 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/topology/continuous_function/compact.lean | f89105804e555bba5536176544d24e624d9dcdee | [
"Apache-2.0"
] | permissive | waynemunro/mathlib | e3fd4ff49f4cb43d4a8ded59d17be407bc5ee552 | 065a70810b5480d584033f7bbf8e0409480c2118 | refs/heads/master | 1,693,417,182,397 | 1,634,644,781,000 | 1,634,644,781,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,445 | lean | /-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import topology.continuous_function.bounded
import topology.uniform_space.compact_separated
import tactic.equiv_rw
/-!
# Continuous functions on a compact space
Continuous functions `C(α, β)` from a compact space `α` to a metric space `β`
are automatically bounded, and so acquire various structures inherited from `α →ᵇ β`.
This file transfers these structures, and restates some lemmas
characterising these structures.
If you need a lemma which is proved about `α →ᵇ β` but not for `C(α, β)` when `α` is compact,
you should restate it here. You can also use
`bounded_continuous_function.equiv_continuous_map_of_compact` to move functions back and forth.
-/
noncomputable theory
open_locale topological_space classical nnreal bounded_continuous_function
open set filter metric
open bounded_continuous_function
namespace continuous_map
variables (α β μ : Type*) [topological_space α] [compact_space α] [normed_group β] [metric_space μ]
/--
When `α` is compact, the bounded continuous maps `α →ᵇ 𝕜` are
equivalent to `C(α, 𝕜)`.
-/
@[simps]
def equiv_bounded_of_compact : C(α, μ) ≃ (α →ᵇ μ) :=
⟨mk_of_compact, forget_boundedness α μ, λ f, by { ext, refl, }, λ f, by { ext, refl, }⟩
/--
When `α` is compact, the bounded continuous maps `α →ᵇ 𝕜` are
additively equivalent to `C(α, 𝕜)`.
-/
@[simps]
def add_equiv_bounded_of_compact : C(α, β) ≃+ (α →ᵇ β) :=
({ ..forget_boundedness_add_hom α β,
..(equiv_bounded_of_compact α β).symm, } : (α →ᵇ β) ≃+ C(α, β)).symm
-- It would be nice if `@[simps]` produced this directly,
-- instead of the unhelpful `add_equiv_bounded_of_compact_apply_to_continuous_map`.
@[simp]
lemma add_equiv_bounded_of_compact_apply_apply (f : C(α, β)) (a : α) :
add_equiv_bounded_of_compact α β f a = f a :=
rfl
@[simp]
lemma add_equiv_bounded_of_compact_to_equiv :
(add_equiv_bounded_of_compact α β).to_equiv = equiv_bounded_of_compact α β :=
rfl
instance : metric_space C(α,μ) :=
metric_space.induced
(equiv_bounded_of_compact α μ)
(equiv_bounded_of_compact α μ).injective
(by apply_instance)
section
variables {α β} (f g : C(α, β)) {C : ℝ}
/-- The distance between two functions is controlled by the supremum of the pointwise distances -/
lemma dist_le (C0 : (0 : ℝ) ≤ C) : dist f g ≤ C ↔ ∀x:α, dist (f x) (g x) ≤ C :=
@bounded_continuous_function.dist_le _ _ _ _
((equiv_bounded_of_compact α β) f) ((equiv_bounded_of_compact α β) g) _ C0
lemma dist_le_iff_of_nonempty [nonempty α] :
dist f g ≤ C ↔ ∀ x, dist (f x) (g x) ≤ C :=
@bounded_continuous_function.dist_le_iff_of_nonempty _ _ _ _
((equiv_bounded_of_compact α β) f) ((equiv_bounded_of_compact α β) g) _ _
lemma dist_lt_of_nonempty [nonempty α]
(w : ∀x:α, dist (f x) (g x) < C) : dist f g < C :=
@bounded_continuous_function.dist_lt_of_nonempty_compact _ _ _ _
((equiv_bounded_of_compact α β) f) ((equiv_bounded_of_compact α β) g) _ _ _ w
lemma dist_lt_iff (C0 : (0 : ℝ) < C) :
dist f g < C ↔ ∀x:α, dist (f x) (g x) < C :=
@bounded_continuous_function.dist_lt_iff_of_compact _ _ _ _
((equiv_bounded_of_compact α β) f) ((equiv_bounded_of_compact α β) g) _ _ C0
lemma dist_lt_iff_of_nonempty [nonempty α] :
dist f g < C ↔ ∀x:α, dist (f x) (g x) < C :=
@bounded_continuous_function.dist_lt_iff_of_nonempty_compact _ _ _ _
((equiv_bounded_of_compact α β) f) ((equiv_bounded_of_compact α β) g) _ _ _
end
variables (α β)
/--
When `α` is compact, and `β` is a metric space, the bounded continuous maps `α →ᵇ β` are
isometric to `C(α, β)`.
-/
@[simps]
def isometric_bounded_of_compact :
C(α, μ) ≃ᵢ (α →ᵇ μ) :=
{ isometry_to_fun := λ x y, rfl,
to_equiv := equiv_bounded_of_compact α μ }
-- TODO at some point we will need lemmas characterising this norm!
-- At the moment the only way to reason about it is to transfer `f : C(α,β)` back to `α →ᵇ β`.
instance : has_norm C(α,β) :=
{ norm := λ x, dist x 0 }
instance : normed_group C(α,β) :=
{ dist_eq := λ x y,
begin
change dist x y = dist (x-y) 0,
-- it would be nice if `equiv_rw` could rewrite in multiple places at once
equiv_rw (equiv_bounded_of_compact α β) at x,
equiv_rw (equiv_bounded_of_compact α β) at y,
have p : dist x y = dist (x-y) 0, { rw dist_eq_norm, rw dist_zero_right, },
convert p,
exact ((add_equiv_bounded_of_compact α β).symm.map_sub _ _).symm,
end, }
section
variables {α β} (f : C(α, β))
-- The corresponding lemmas for `bounded_continuous_function` are stated with `{f}`,
-- and so can not be used in dot notation.
lemma norm_coe_le_norm (x : α) : ∥f x∥ ≤ ∥f∥ :=
((equiv_bounded_of_compact α β) f).norm_coe_le_norm x
/-- Distance between the images of any two points is at most twice the norm of the function. -/
lemma dist_le_two_norm (x y : α) : dist (f x) (f y) ≤ 2 * ∥f∥ :=
((equiv_bounded_of_compact α β) f).dist_le_two_norm x y
/-- The norm of a function is controlled by the supremum of the pointwise norms -/
lemma norm_le {C : ℝ} (C0 : (0 : ℝ) ≤ C) : ∥f∥ ≤ C ↔ ∀x:α, ∥f x∥ ≤ C :=
@bounded_continuous_function.norm_le _ _ _ _
((equiv_bounded_of_compact α β) f) _ C0
lemma norm_le_of_nonempty [nonempty α] {M : ℝ} : ∥f∥ ≤ M ↔ ∀ x, ∥f x∥ ≤ M :=
@bounded_continuous_function.norm_le_of_nonempty _ _ _ _ _
((equiv_bounded_of_compact α β) f) _
lemma norm_lt_iff {M : ℝ} (M0 : 0 < M) : ∥f∥ < M ↔ ∀ x, ∥f x∥ < M :=
@bounded_continuous_function.norm_lt_iff_of_compact _ _ _ _ _
((equiv_bounded_of_compact α β) f) _ M0
lemma norm_lt_iff_of_nonempty [nonempty α] {M : ℝ} :
∥f∥ < M ↔ ∀ x, ∥f x∥ < M :=
@bounded_continuous_function.norm_lt_iff_of_nonempty_compact _ _ _ _ _ _
((equiv_bounded_of_compact α β) f) _
lemma apply_le_norm (f : C(α, ℝ)) (x : α) : f x ≤ ∥f∥ :=
le_trans (le_abs.mpr (or.inl (le_refl (f x)))) (f.norm_coe_le_norm x)
lemma neg_norm_le_apply (f : C(α, ℝ)) (x : α) : -∥f∥ ≤ f x :=
le_trans (neg_le_neg (f.norm_coe_le_norm x)) (neg_le.mp (neg_le_abs_self (f x)))
@[simp] lemma _root_.bounded_continuous_function.norm_forget_boundedness_eq (f : α →ᵇ β) :
∥forget_boundedness α β f∥ = ∥f∥ :=
rfl
lemma norm_eq_supr_norm : ∥f∥ = ⨆ x : α, ∥f x∥ :=
begin
equiv_rw equiv_bounded_of_compact α β at f,
rw [equiv_bounded_of_compact_symm_apply, forget_boundedness_coe, f.norm_forget_boundedness_eq,
f.norm_eq_supr_norm],
end
end
section
variables {R : Type*} [normed_ring R]
instance : normed_ring C(α,R) :=
{ norm_mul := λ f g,
begin
equiv_rw (equiv_bounded_of_compact α R) at f,
equiv_rw (equiv_bounded_of_compact α R) at g,
exact norm_mul_le f g,
end,
..(infer_instance : normed_group C(α,R)) }
end
section
variables {𝕜 : Type*} [normed_field 𝕜] [normed_space 𝕜 β]
instance : normed_space 𝕜 C(α,β) :=
{ norm_smul_le := λ c f,
begin
equiv_rw (equiv_bounded_of_compact α β) at f,
exact le_of_eq (norm_smul c f),
end }
variables (α 𝕜)
/--
When `α` is compact and `𝕜` is a normed field,
the `𝕜`-algebra of bounded continuous maps `α →ᵇ β` is
`𝕜`-linearly isometric to `C(α, β)`.
-/
def linear_isometry_bounded_of_compact :
C(α, β) ≃ₗᵢ[𝕜] (α →ᵇ β) :=
{ map_smul' := λ c f, by { ext, simp, },
norm_map' := λ f, rfl,
..add_equiv_bounded_of_compact α β }
-- this lemma and the next are the analogues of those autogenerated by `@[simps]` for
-- `equiv_bounded_of_compact`, `add_equiv_bounded_of_compact`
@[simp] lemma linear_isometry_bounded_of_compact_symm_apply (f : α →ᵇ β) :
(linear_isometry_bounded_of_compact α β 𝕜).symm f = f.forget_boundedness α β :=
rfl
@[simp] lemma linear_isometry_bounded_of_compact_apply_apply (f : C(α, β)) (a : α) :
((linear_isometry_bounded_of_compact α β 𝕜) f) a = f a :=
rfl
@[simp]
lemma linear_isometry_bounded_of_compact_to_isometric :
(linear_isometry_bounded_of_compact α β 𝕜).to_isometric =
isometric_bounded_of_compact α β :=
rfl
@[simp]
lemma linear_isometry_bounded_of_compact_to_add_equiv :
(linear_isometry_bounded_of_compact α β 𝕜).to_linear_equiv.to_add_equiv =
add_equiv_bounded_of_compact α β :=
rfl
@[simp]
lemma linear_isometry_bounded_of_compact_of_compact_to_equiv :
(linear_isometry_bounded_of_compact α β 𝕜).to_linear_equiv.to_equiv =
equiv_bounded_of_compact α β :=
rfl
end
section
variables {𝕜 : Type*} {γ : Type*} [normed_field 𝕜] [normed_ring γ] [normed_algebra 𝕜 γ]
instance [nonempty α] : normed_algebra 𝕜 C(α, γ) :=
{ norm_algebra_map_eq := λ c, (norm_algebra_map_eq (α →ᵇ γ) c : _), }
end
end continuous_map
namespace continuous_map
section uniform_continuity
variables {α β : Type*}
variables [metric_space α] [compact_space α] [metric_space β]
/-!
We now set up some declarations making it convenient to use uniform continuity.
-/
lemma uniform_continuity
(f : C(α, β)) (ε : ℝ) (h : 0 < ε) :
∃ δ > 0, ∀ {x y}, dist x y < δ → dist (f x) (f y) < ε :=
metric.uniform_continuous_iff.mp
(compact_space.uniform_continuous_of_continuous f.continuous) ε h
/--
An arbitrarily chosen modulus of uniform continuity for a given function `f` and `ε > 0`.
-/
-- This definition allows us to separate the choice of some `δ`,
-- and the corresponding use of `dist a b < δ → dist (f a) (f b) < ε`,
-- even across different declarations.
def modulus (f : C(α, β)) (ε : ℝ) (h : 0 < ε) : ℝ :=
classical.some (uniform_continuity f ε h)
lemma modulus_pos (f : C(α, β)) {ε : ℝ} {h : 0 < ε} : 0 < f.modulus ε h :=
classical.some (classical.some_spec (uniform_continuity f ε h))
lemma dist_lt_of_dist_lt_modulus
(f : C(α, β)) (ε : ℝ) (h : 0 < ε) {a b : α} (w : dist a b < f.modulus ε h) :
dist (f a) (f b) < ε :=
classical.some_spec (classical.some_spec (uniform_continuity f ε h)) w
end uniform_continuity
end continuous_map
section comp_left
variables (X : Type*) {𝕜 β γ : Type*} [topological_space X] [compact_space X]
[nondiscrete_normed_field 𝕜]
variables [normed_group β] [normed_space 𝕜 β] [normed_group γ] [normed_space 𝕜 γ]
open continuous_map
/--
Postcomposition of continuous functions into a normed module by a continuous linear map is a
continuous linear map.
Transferred version of `continuous_linear_map.comp_left_continuous_bounded`,
upgraded version of `continuous_linear_map.comp_left_continuous`,
similar to `linear_map.comp_left`. -/
protected def continuous_linear_map.comp_left_continuous_compact (g : β →L[𝕜] γ) :
C(X, β) →L[𝕜] C(X, γ) :=
(linear_isometry_bounded_of_compact X γ 𝕜).symm.to_linear_isometry.to_continuous_linear_map.comp $
(g.comp_left_continuous_bounded X).comp $
(linear_isometry_bounded_of_compact X β 𝕜).to_linear_isometry.to_continuous_linear_map
@[simp] lemma continuous_linear_map.to_linear_comp_left_continuous_compact (g : β →L[𝕜] γ) :
(g.comp_left_continuous_compact X : C(X, β) →ₗ[𝕜] C(X, γ)) = g.comp_left_continuous 𝕜 X :=
by { ext f, simp [continuous_linear_map.comp_left_continuous_compact] }
@[simp] lemma continuous_linear_map.comp_left_continuous_compact_apply (g : β →L[𝕜] γ)
(f : C(X, β)) (x : X) :
g.comp_left_continuous_compact X f x = g (f x) :=
rfl
end comp_left
namespace continuous_map
/-!
We now setup variations on `comp_right_* f`, where `f : C(X, Y)`
(that is, precomposition by a continuous map),
as a morphism `C(Y, T) → C(X, T)`, respecting various types of structure.
In particular:
* `comp_right_continuous_map`, the bundled continuous map (for this we need `X Y` compact).
* `comp_right_homeomorph`, when we precompose by a homeomorphism.
* `comp_right_alg_hom`, when `T = R` is a topological ring.
-/
section comp_right
/--
Precomposition by a continuous map is itself a continuous map between spaces of continuous maps.
-/
def comp_right_continuous_map {X Y : Type*} (T : Type*)
[topological_space X] [compact_space X] [topological_space Y] [compact_space Y] [normed_group T]
(f : C(X, Y)) : C(C(Y, T), C(X, T)) :=
{ to_fun := λ g, g.comp f,
continuous_to_fun :=
begin
refine metric.continuous_iff.mpr _,
intros g ε ε_pos,
refine ⟨ε, ε_pos, λ g' h, _⟩,
rw continuous_map.dist_lt_iff _ _ ε_pos at h ⊢,
{ exact λ x, h (f x), },
end }
@[simp] lemma comp_right_continuous_map_apply {X Y : Type*} (T : Type*)
[topological_space X] [compact_space X] [topological_space Y] [compact_space Y] [normed_group T]
(f : C(X, Y)) (g : C(Y, T)) :
(comp_right_continuous_map T f) g = g.comp f :=
rfl
/--
Precomposition by a homeomorphism is itself a homeomorphism between spaces of continuous maps.
-/
def comp_right_homeomorph {X Y : Type*} (T : Type*)
[topological_space X] [compact_space X] [topological_space Y] [compact_space Y] [normed_group T]
(f : X ≃ₜ Y) : C(Y, T) ≃ₜ C(X, T) :=
{ to_fun := comp_right_continuous_map T f.to_continuous_map,
inv_fun := comp_right_continuous_map T f.symm.to_continuous_map,
left_inv := by tidy,
right_inv := by tidy, }
/--
Precomposition of functions into a normed ring by continuous map is an algebra homomorphism.
-/
def comp_right_alg_hom {X Y : Type*} (R : Type*)
[topological_space X] [topological_space Y] [normed_comm_ring R] (f : C(X, Y)) :
C(Y, R) →ₐ[R] C(X, R) :=
{ to_fun := λ g, g.comp f,
map_zero' := by { ext, simp, },
map_add' := λ g₁ g₂, by { ext, simp, },
map_one' := by { ext, simp, },
map_mul' := λ g₁ g₂, by { ext, simp, },
commutes' := λ r, by { ext, simp, }, }
@[simp] lemma comp_right_alg_hom_apply {X Y : Type*} (R : Type*)
[topological_space X] [topological_space Y] [normed_comm_ring R] (f : C(X, Y)) (g : C(Y, R)) :
(comp_right_alg_hom R f) g = g.comp f :=
rfl
lemma comp_right_alg_hom_continuous {X Y : Type*} (R : Type*)
[topological_space X] [compact_space X] [topological_space Y] [compact_space Y]
[normed_comm_ring R] (f : C(X, Y)) :
continuous (comp_right_alg_hom R f) :=
begin
change continuous (comp_right_continuous_map R f),
continuity,
end
end comp_right
end continuous_map
|
e65b6e885dd99dbef8c7ab975a19b0e5a2f6e502 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/number_theory/basic.lean | 17b26e3f795c8d74494f66cf88fb59a069c003c3 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 1,518 | lean | /-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kenny Lau
-/
import algebra.geom_sum
import ring_theory.ideal.quotient
/-!
# Basic results in number theory
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file should contain basic results in number theory. So far, it only contains the essential
lemma in the construction of the ring of Witt vectors.
## Main statement
`dvd_sub_pow_of_dvd_sub` proves that for elements `a` and `b` in a commutative ring `R` and for
all natural numbers `p` and `k` if `p` divides `a-b` in `R`, then `p ^ (k + 1)` divides
`a ^ (p ^ k) - b ^ (p ^ k)`.
-/
section
open ideal ideal.quotient
lemma dvd_sub_pow_of_dvd_sub {R : Type*} [comm_ring R] {p : ℕ}
{a b : R} (h : (p : R) ∣ a - b) (k : ℕ) :
(p^(k+1) : R) ∣ a^(p^k) - b^(p^k) :=
begin
induction k with k ih,
{ rwa [pow_one, pow_zero, pow_one, pow_one] },
rw [pow_succ' p k, pow_mul, pow_mul, ← geom_sum₂_mul, pow_succ],
refine mul_dvd_mul _ ih,
let I : ideal R := span {p},
let f : R →+* R ⧸ I := mk I,
have hp : (p : R ⧸ I) = 0,
{ rw [← map_nat_cast f, eq_zero_iff_mem, mem_span_singleton] },
rw [← mem_span_singleton, ← ideal.quotient.eq] at h,
rw [← mem_span_singleton, ← eq_zero_iff_mem, ring_hom.map_geom_sum₂,
ring_hom.map_pow, ring_hom.map_pow, h, geom_sum₂_self, hp, zero_mul],
end
end
|
23ba6f1c57a27c8c98217d6123bdcc6b43bfc720 | 6dc0c8ce7a76229dd81e73ed4474f15f88a9e294 | /tests/lean/Reformat/Input.lean | 51d37d8e25ea174d7fb2dc46ff49d2b91f8ff9a9 | [
"Apache-2.0"
] | permissive | williamdemeo/lean4 | 72161c58fe65c3ad955d6a3050bb7d37c04c0d54 | 6d00fcf1d6d873e195f9220c668ef9c58e9c4a35 | refs/heads/master | 1,678,305,356,877 | 1,614,708,995,000 | 1,614,708,995,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 9,504 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
universes u v w
@[inline] def id {α : Sort u} (a : α) : α := a
/-
The kernel definitional equality test (t =?= s) has special support for idDelta applications.
It implements the following rules
1) (idDelta t) =?= t
2) t =?= (idDelta t)
3) (idDelta t) =?= s IF (unfoldOf t) =?= s
4) t =?= idDelta s IF t =?= (unfoldOf s)
This is mechanism for controlling the delta reduction (aka unfolding) used in the kernel.
We use idDelta applications to address performance problems when Type checking
theorems generated by the equation Compiler.
-/
@[inline] def idDelta {α : Sort u} (a : α) : α := a
/- `idRhs` is an auxiliary declaration used to implement "smart unfolding". It is used as a marker. -/
@[macroInline, reducible] def idRhs (α : Sort u) (a : α) : α := a
abbrev Function.comp {α : Sort u} {β : Sort v} {δ : Sort w} (f : β → δ) (g : α → β) : α → δ :=
fun x => f (g x)
abbrev Function.const {α : Sort u} (β : Sort v) (a : α) : β → α :=
fun x => a
@[reducible] def inferInstance {α : Type u} [i : α] : α := i
@[reducible] def inferInstanceAs (α : Type u) [i : α] : α := i
set_option bootstrap.inductiveCheckResultingUniverse false in
inductive PUnit : Sort u
| unit : PUnit
/-- An abbreviation for `PUnit.{0}`, its most common instantiation.
This Type should be preferred over `PUnit` where possible to avoid
unnecessary universe parameters. -/
abbrev Unit : Type := PUnit
@[matchPattern] abbrev Unit.unit : Unit := PUnit.unit
/-- Auxiliary unsafe constant used by the Compiler when erasing proofs from code. -/
unsafe axiom lcProof {α : Prop} : α
/-- Auxiliary unsafe constant used by the Compiler to mark unreachable code. -/
unsafe axiom lcUnreachable {α : Sort u} : α
inductive True : Prop
| intro : True
inductive False : Prop
inductive Empty : Type
def Not (a : Prop) : Prop := a → False
@[macroInline] def False.elim {C : Sort u} (h : False) : C :=
False.rec (fun _ => C) h
@[macroInline] def absurd {a : Prop} {b : Sort v} (h₁ : a) (h₂ : Not a) : b :=
False.elim (h₂ h₁)
inductive Eq {α : Sort u} (a : α) : α → Prop
| refl {} : Eq a a
abbrev Eq.ndrec.{u1, u2} {α : Sort u2} {a : α} {motive : α → Sort u1} (m : motive a) {b : α} (h : Eq a b) : motive b :=
Eq.rec (motive := fun α _ => motive α) m h
@[matchPattern] def rfl {α : Sort u} {a : α} : Eq a a := Eq.refl a
theorem Eq.subst {α : Sort u} {motive : α → Prop} {a b : α} (h₁ : Eq a b) (h₂ : motive a) : motive b :=
Eq.ndrec h₂ h₁
theorem Eq.symm {α : Sort u} {a b : α} (h : Eq a b) : Eq b a :=
h ▸ rfl
@[macroInline] def cast {α β : Sort u} (h : Eq α β) (a : α) : β :=
Eq.rec (motive := fun α _ => α) a h
theorem congrArg {α : Sort u} {β : Sort v} {a₁ a₂ : α} (f : α → β) (h : Eq a₁ a₂) : Eq (f a₁) (f a₂) :=
h ▸ rfl
/-
Initialize the Quotient Module, which effectively adds the following definitions:
constant Quot {α : Sort u} (r : α → α → Prop) : Sort u
constant Quot.mk {α : Sort u} (r : α → α → Prop) (a : α) : Quot r
constant Quot.lift {α : Sort u} {r : α → α → Prop} {β : Sort v} (f : α → β) :
(∀ a b : α, r a b → Eq (f a) (f b)) → Quot r → β
constant Quot.ind {α : Sort u} {r : α → α → Prop} {β : Quot r → Prop} :
(∀ a : α, β (Quot.mk r a)) → ∀ q : Quot r, β q
-/
init_quot
inductive HEq {α : Sort u} (a : α) : {β : Sort u} → β → Prop
| refl {} : HEq a a
@[matchPattern] def HEq.rfl {α : Sort u} {a : α} : HEq a a :=
HEq.refl a
theorem eqOfHEq {α : Sort u} {a a' : α} (h : HEq a a') : Eq a a' :=
have (α β : Sort u) → (a : α) → (b : β) → HEq a b → (h : Eq α β) → Eq (cast h a) b from
fun α β a b h₁ =>
HEq.rec (motive := fun {β} (b : β) (h : HEq a b) => (h₂ : Eq α β) → Eq (cast h₂ a) b)
(fun (h₂ : Eq α α) => rfl)
h₁
this α α a a' h rfl
structure Prod (α : Type u) (β : Type v) :=
(fst : α) (snd : β)
attribute [unbox] Prod
/-- Similar to `Prod`, but `α` and `β` can be propositions.
We use this Type internally to automatically generate the brecOn recursor. -/
structure PProd (α : Sort u) (β : Sort v) :=
(fst : α) (snd : β)
/-- Similar to `Prod`, but `α` and `β` are in the same universe. -/
structure MProd (α β : Type u) :=
(fst : α) (snd : β)
structure And (a b : Prop) : Prop :=
intro :: (left : a) (right : b)
inductive Or (a b : Prop) : Prop
| inl (h : a) : Or a b
| inr (h : b) : Or a b
inductive Bool : Type
| false : Bool
| true : Bool
export Bool (false true)
/- Remark: Subtype must take a Sort instead of Type because of the axiom strongIndefiniteDescription. -/
structure Subtype {α : Sort u} (p : α → Prop) :=
(val : α) (property : p val)
/-- Gadget for optional parameter support. -/
@[reducible] def optParam (α : Sort u) (default : α) : Sort u := α
/-- Gadget for marking output parameters in type classes. -/
@[reducible] def outParam (α : Sort u) : Sort u := α
/-- Auxiliary Declaration used to implement the notation (a : α) -/
@[reducible] def typedExpr (α : Sort u) (a : α) : α := a
/-- Auxiliary Declaration used to implement the named patterns `x@p` -/
@[reducible] def namedPattern {α : Sort u} (x a : α) : α := a
/- Auxiliary axiom used to implement `sorry`. -/
axiom sorryAx (α : Sort u) (synthetic := true) : α
theorem eqFalseOfNeTrue : {b : Bool} → Not (Eq b true) → Eq b false
| true, h => False.elim (h rfl)
| false, h => rfl
theorem eqTrueOfNeFalse : {b : Bool} → Not (Eq b false) → Eq b true
| true, h => rfl
| false, h => False.elim (h rfl)
theorem neFalseOfEqTrue : {b : Bool} → Eq b true → Not (Eq b false)
| true, _ => fun h => Bool.noConfusion h
| false, h => Bool.noConfusion h
theorem neTrueOfEqFalse : {b : Bool} → Eq b false → Not (Eq b true)
| true, h => Bool.noConfusion h
| false, _ => fun h => Bool.noConfusion h
class Inhabited (α : Sort u) :=
mk {} :: (default : α)
constant arbitrary (α : Sort u) [s : Inhabited α] : α :=
@Inhabited.default α s
instance (α : Sort u) {β : Sort v} [Inhabited β] : Inhabited (α → β) := {
default := fun _ => arbitrary β
}
instance (α : Sort u) {β : α → Sort v} [(a : α) → Inhabited (β a)] : Inhabited ((a : α) → β a) := {
default := fun a => arbitrary (β a)
}
/-- Universe lifting operation from Sort to Type -/
structure PLift (α : Sort u) : Type u :=
up :: (down : α)
/- Bijection between α and PLift α -/
theorem PLift.upDown {α : Sort u} : ∀ (b : PLift α), Eq (up (down b)) b
| up a => rfl
theorem PLift.downUp {α : Sort u} (a : α) : Eq (down (up a)) a :=
rfl
/- Pointed types -/
structure PointedType :=
(type : Type u)
(val : type)
instance : Inhabited PointedType.{u} := {
default := { type := PUnit.{u+1}, val := ⟨⟩ }
}
/-- Universe lifting operation -/
structure ULift.{r, s} (α : Type s) : Type (max s r) :=
up :: (down : α)
/- Bijection between α and ULift.{v} α -/
theorem ULift.upDown {α : Type u} : ∀ (b : ULift.{v} α), Eq (up (down b)) b
| up a => rfl
theorem ULift.downUp {α : Type u} (a : α) : Eq (down (up.{v} a)) a :=
rfl
class inductive Decidable (p : Prop)
| isFalse (h : Not p) : Decidable p
| isTrue (h : p) : Decidable p
@[inlineIfReduce, nospecialize] def Decidable.decide (p : Prop) [h : Decidable p] : Bool :=
Decidable.casesOn (motive := fun _ => Bool) h (fun _ => false) (fun _ => true)
export Decidable (isTrue isFalse decide)
abbrev DecidablePred {α : Sort u} (r : α → Prop) :=
(a : α) → Decidable (r a)
abbrev DecidableRel {α : Sort u} (r : α → α → Prop) :=
(a b : α) → Decidable (r a b)
abbrev DecidableEq (α : Sort u) :=
(a b : α) → Decidable (Eq a b)
def decEq {α : Sort u} [s : DecidableEq α] (a b : α) : Decidable (Eq a b) :=
s a b
theorem decideEqTrue : {p : Prop} → [s : Decidable p] → p → Eq (decide p) true
| _, isTrue _, _ => rfl
| _, isFalse h₁, h₂ => absurd h₂ h₁
theorem decideEqFalse : {p : Prop} → [s : Decidable p] → Not p → Eq (decide p) false
| _, isTrue h₁, h₂ => absurd h₁ h₂
| _, isFalse h, _ => rfl
theorem ofDecideEqTrue {p : Prop} [s : Decidable p] : Eq (decide p) true → p := fun h =>
match s with
| isTrue h₁ => h₁
| isFalse h₁ => absurd h (neTrueOfEqFalse (decideEqFalse h₁))
theorem ofDecideEqFalse {p : Prop} [s : Decidable p] : Eq (decide p) false → Not p := fun h =>
match s with
| isTrue h₁ => absurd h (neFalseOfEqTrue (decideEqTrue h₁))
| isFalse h₁ => h₁
@[inline] instance : DecidableEq Bool :=
fun a b => match a, b with
| false, false => isTrue rfl
| false, true => isFalse (fun h => Bool.noConfusion h)
| true, false => isFalse (fun h => Bool.noConfusion h)
| true, true => isTrue rfl
class BEq (α : Type u) := (beq : α → α → Bool)
open BEq (beq)
instance {α : Type u} [DecidableEq α] : BEq α :=
⟨fun a b => decide (Eq a b)⟩
-- We use "dependent" if-then-else to be able to communicate the if-then-else condition
-- to the branches
@[macroInline] def dite {α : Sort u} (c : Prop) [h : Decidable c] (t : c → α) (e : Not c → α) : α :=
Decidable.casesOn (motive := fun _ => α) h e t
|
1dfa1cfab5403c715780f0f22eec898964ff2152 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/linear_algebra/matrix/adjugate.lean | 749fb6023e55494a40b361c9341b87f8d45e81f7 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 18,789 | lean | /-
Copyright (c) 2019 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import algebra.regular.basic
import linear_algebra.matrix.mv_polynomial
import linear_algebra.matrix.polynomial
import ring_theory.polynomial.basic
/-!
# Cramer's rule and adjugate matrices
The adjugate matrix is the transpose of the cofactor matrix.
It is calculated with Cramer's rule, which we introduce first.
The vectors returned by Cramer's rule are given by the linear map `cramer`,
which sends a matrix `A` and vector `b` to the vector consisting of the
determinant of replacing the `i`th column of `A` with `b` at index `i`
(written as `(A.update_column i b).det`).
Using Cramer's rule, we can compute for each matrix `A` the matrix `adjugate A`.
The entries of the adjugate are the minors of `A`.
Instead of defining a minor by deleting row `i` and column `j` of `A`, we
replace the `i`th row of `A` with the `j`th basis vector; the resulting matrix
has the same determinant but more importantly equals Cramer's rule applied
to `A` and the `j`th basis vector, simplifying the subsequent proofs.
We prove the adjugate behaves like `det A • A⁻¹`.
## Main definitions
* `matrix.cramer A b`: the vector output by Cramer's rule on `A` and `b`.
* `matrix.adjugate A`: the adjugate (or classical adjoint) of the matrix `A`.
## References
* https://en.wikipedia.org/wiki/Cramer's_rule#Finding_inverse_matrix
## Tags
cramer, cramer's rule, adjugate
-/
namespace matrix
universes u v
variables {n : Type u} [decidable_eq n] [fintype n] {α : Type v} [comm_ring α]
open_locale matrix big_operators polynomial
open equiv equiv.perm finset
section cramer
/-!
### `cramer` section
Introduce the linear map `cramer` with values defined by `cramer_map`.
After defining `cramer_map` and showing it is linear,
we will restrict our proofs to using `cramer`.
-/
variables (A : matrix n n α) (b : n → α)
/--
`cramer_map A b i` is the determinant of the matrix `A` with column `i` replaced with `b`,
and thus `cramer_map A b` is the vector output by Cramer's rule on `A` and `b`.
If `A ⬝ x = b` has a unique solution in `x`, `cramer_map A` sends the vector `b` to `A.det • x`.
Otherwise, the outcome of `cramer_map` is well-defined but not necessarily useful.
-/
def cramer_map (i : n) : α := (A.update_column i b).det
lemma cramer_map_is_linear (i : n) : is_linear_map α (λ b, cramer_map A b i) :=
{ map_add := det_update_column_add _ _,
map_smul := det_update_column_smul _ _ }
lemma cramer_is_linear : is_linear_map α (cramer_map A) :=
begin
split; intros; ext i,
{ apply (cramer_map_is_linear A i).1 },
{ apply (cramer_map_is_linear A i).2 }
end
/--
`cramer A b i` is the determinant of the matrix `A` with column `i` replaced with `b`,
and thus `cramer A b` is the vector output by Cramer's rule on `A` and `b`.
If `A ⬝ x = b` has a unique solution in `x`, `cramer A` sends the vector `b` to `A.det • x`.
Otherwise, the outcome of `cramer` is well-defined but not necessarily useful.
-/
def cramer (A : matrix n n α) : (n → α) →ₗ[α] (n → α) :=
is_linear_map.mk' (cramer_map A) (cramer_is_linear A)
lemma cramer_apply (i : n) : cramer A b i = (A.update_column i b).det := rfl
lemma cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.update_row i b).det :=
by rw [cramer_apply, update_column_transpose, det_transpose]
lemma cramer_transpose_row_self (i : n) :
Aᵀ.cramer (A i) = pi.single i A.det :=
begin
ext j,
rw [cramer_apply, pi.single_apply],
split_ifs with h,
{ -- i = j: this entry should be `A.det`
subst h,
simp only [update_column_transpose, det_transpose, update_row, function.update_eq_self] },
{ -- i ≠ j: this entry should be 0
rw [update_column_transpose, det_transpose],
apply det_zero_of_row_eq h,
rw [update_row_self, update_row_ne (ne.symm h)] }
end
lemma cramer_row_self (i : n) (h : ∀ j, b j = A j i) :
A.cramer b = pi.single i A.det :=
begin
rw [← transpose_transpose A, det_transpose],
convert cramer_transpose_row_self Aᵀ i,
exact funext h
end
@[simp] lemma cramer_one : cramer (1 : matrix n n α) = 1 :=
begin
ext i j,
convert congr_fun (cramer_row_self (1 : matrix n n α) (pi.single i 1) i _) j,
{ simp },
{ intros j, rw [matrix.one_eq_pi_single, pi.single_comm] }
end
lemma cramer_smul (r : α) (A : matrix n n α) :
cramer (r • A) = r ^ (fintype.card n - 1) • cramer A :=
linear_map.ext $ λ b, funext $ λ _, det_update_column_smul' _ _ _ _
@[simp] lemma cramer_subsingleton_apply [subsingleton n] (A : matrix n n α) (b : n → α) (i : n) :
cramer A b i = b i :=
by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, update_column_self]
lemma cramer_zero [nontrivial n] : cramer (0 : matrix n n α) = 0 :=
begin
ext i j,
obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j,
apply det_eq_zero_of_column_eq_zero j',
intro j'',
simp [update_column_ne hj'],
end
/-- Use linearity of `cramer` to take it out of a summation. -/
lemma sum_cramer {β} (s : finset β) (f : β → n → α) :
∑ x in s, cramer A (f x) = cramer A (∑ x in s, f x) :=
(linear_map.map_sum (cramer A)).symm
/-- Use linearity of `cramer` and vector evaluation to take `cramer A _ i` out of a summation. -/
lemma sum_cramer_apply {β} (s : finset β) (f : n → β → α) (i : n) :
∑ x in s, cramer A (λ j, f j x) i = cramer A (λ (j : n), ∑ x in s, f j x) i :=
calc ∑ x in s, cramer A (λ j, f j x) i
= (∑ x in s, cramer A (λ j, f j x)) i : (finset.sum_apply i s _).symm
... = cramer A (λ (j : n), ∑ x in s, f j x) i :
by { rw [sum_cramer, cramer_apply], congr' with j, apply finset.sum_apply }
end cramer
section adjugate
/-!
### `adjugate` section
Define the `adjugate` matrix and a few equations.
These will hold for any matrix over a commutative ring.
-/
/-- The adjugate matrix is the transpose of the cofactor matrix.
Typically, the cofactor matrix is defined by taking minors,
i.e. the determinant of the matrix with a row and column removed.
However, the proof of `mul_adjugate` becomes a lot easier if we use the
matrix replacing a column with a basis vector, since it allows us to use
facts about the `cramer` map.
-/
def adjugate (A : matrix n n α) : matrix n n α := λ i, cramer Aᵀ (pi.single i 1)
lemma adjugate_def (A : matrix n n α) :
adjugate A = λ i, cramer Aᵀ (pi.single i 1) := rfl
lemma adjugate_apply (A : matrix n n α) (i j : n) :
adjugate A i j = (A.update_row j (pi.single i 1)).det :=
by { rw adjugate_def, simp only, rw [cramer_apply, update_column_transpose, det_transpose], }
lemma adjugate_transpose (A : matrix n n α) : (adjugate A)ᵀ = adjugate (Aᵀ) :=
begin
ext i j,
rw [transpose_apply, adjugate_apply, adjugate_apply, update_row_transpose, det_transpose],
rw [det_apply', det_apply'],
apply finset.sum_congr rfl,
intros σ _,
congr' 1,
by_cases i = σ j,
{ -- Everything except `(i , j)` (= `(σ j , j)`) is given by A, and the rest is a single `1`.
congr; ext j',
subst h,
have : σ j' = σ j ↔ j' = j := σ.injective.eq_iff,
rw [update_row_apply, update_column_apply],
simp_rw this,
rw [←dite_eq_ite, ←dite_eq_ite],
congr' 1 with rfl,
rw [pi.single_eq_same, pi.single_eq_same], },
{ -- Otherwise, we need to show that there is a `0` somewhere in the product.
have : (∏ j' : n, update_column A j (pi.single i 1) (σ j') j') = 0,
{ apply prod_eq_zero (mem_univ j),
rw [update_column_self, pi.single_eq_of_ne' h], },
rw this,
apply prod_eq_zero (mem_univ (σ⁻¹ i)),
erw [apply_symm_apply σ i, update_row_self],
apply pi.single_eq_of_ne,
intro h',
exact h ((symm_apply_eq σ).mp h') }
end
/-- Since the map `b ↦ cramer A b` is linear in `b`, it must be multiplication by some matrix. This
matrix is `A.adjugate`. -/
lemma cramer_eq_adjugate_mul_vec (A : matrix n n α) (b : n → α) :
cramer A b = A.adjugate.mul_vec b :=
begin
nth_rewrite 1 ← A.transpose_transpose,
rw [← adjugate_transpose, adjugate_def],
have : b = ∑ i, (b i) • (pi.single i 1),
{ refine (pi_eq_sum_univ b).trans _, congr' with j, simp [pi.single_apply, eq_comm] },
nth_rewrite 0 this, ext k,
simp [mul_vec, dot_product, mul_comm],
end
lemma mul_adjugate_apply (A : matrix n n α) (i j k) :
A i k * adjugate A k j = cramer Aᵀ (pi.single k (A i k)) j :=
begin
erw [←smul_eq_mul, ←pi.smul_apply, ←linear_map.map_smul, ←pi.single_smul', smul_eq_mul, mul_one],
end
lemma mul_adjugate (A : matrix n n α) : A ⬝ adjugate A = A.det • 1 :=
begin
ext i j,
rw [mul_apply, pi.smul_apply, pi.smul_apply, one_apply, smul_eq_mul, mul_boole],
simp [mul_adjugate_apply, sum_cramer_apply, cramer_transpose_row_self, pi.single_apply, eq_comm]
end
lemma adjugate_mul (A : matrix n n α) : adjugate A ⬝ A = A.det • 1 :=
calc adjugate A ⬝ A = (Aᵀ ⬝ (adjugate Aᵀ))ᵀ :
by rw [←adjugate_transpose, ←transpose_mul, transpose_transpose]
... = A.det • 1 : by rw [mul_adjugate (Aᵀ), det_transpose, transpose_smul, transpose_one]
lemma adjugate_smul (r : α) (A : matrix n n α) :
adjugate (r • A) = r ^ (fintype.card n - 1) • adjugate A :=
begin
rw [adjugate, adjugate, transpose_smul, cramer_smul],
refl,
end
/-- A stronger form of **Cramer's rule** that allows us to solve some instances of `A ⬝ x = b` even
if the determinant is not a unit. A sufficient (but still not necessary) condition is that `A.det`
divides `b`. -/
@[simp] lemma mul_vec_cramer (A : matrix n n α) (b : n → α) :
A.mul_vec (cramer A b) = A.det • b :=
by rw [cramer_eq_adjugate_mul_vec, mul_vec_mul_vec, mul_adjugate, smul_mul_vec_assoc, one_mul_vec]
lemma adjugate_subsingleton [subsingleton n] (A : matrix n n α) : adjugate A = 1 :=
begin
ext i j,
simp [subsingleton.elim i j, adjugate_apply, det_eq_elem_of_subsingleton _ i]
end
lemma adjugate_eq_one_of_card_eq_one {A : matrix n n α} (h : fintype.card n = 1) : adjugate A = 1 :=
begin
haveI : subsingleton n := fintype.card_le_one_iff_subsingleton.mp h.le,
exact adjugate_subsingleton _
end
@[simp] lemma adjugate_zero [nontrivial n] : adjugate (0 : matrix n n α) = 0 :=
begin
ext i j,
obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j,
apply det_eq_zero_of_column_eq_zero j',
intro j'',
simp [update_column_ne hj'],
end
@[simp] lemma adjugate_one : adjugate (1 : matrix n n α) = 1 :=
by { ext, simp [adjugate_def, matrix.one_apply, pi.single_apply, eq_comm] }
@[simp] lemma adjugate_diagonal (v : n → α) :
adjugate (diagonal v) = diagonal (λ i, ∏ j in finset.univ.erase i, v j) :=
begin
ext,
simp only [adjugate_def, cramer_apply, diagonal_transpose],
obtain rfl | hij := eq_or_ne i j,
{ rw [diagonal_apply_eq, diagonal_update_column_single, det_diagonal,
prod_update_of_mem (finset.mem_univ _), sdiff_singleton_eq_erase, one_mul] },
{ rw diagonal_apply_ne _ hij,
refine det_eq_zero_of_row_eq_zero j (λ k, _),
obtain rfl | hjk := eq_or_ne k j,
{ rw [update_column_self, pi.single_eq_of_ne' hij] },
{ rw [update_column_ne hjk, diagonal_apply_ne' _ hjk]} },
end
lemma _root_.ring_hom.map_adjugate {R S : Type*} [comm_ring R] [comm_ring S] (f : R →+* S)
(M : matrix n n R) : f.map_matrix M.adjugate = matrix.adjugate (f.map_matrix M) :=
begin
ext i k,
have : pi.single i (1 : S) = f ∘ pi.single i 1,
{ rw ←f.map_one,
exact pi.single_op (λ i, f) (λ i, f.map_zero) i (1 : R) },
rw [adjugate_apply, ring_hom.map_matrix_apply, map_apply, ring_hom.map_matrix_apply,
this, ←map_update_row, ←ring_hom.map_matrix_apply, ←ring_hom.map_det, ←adjugate_apply]
end
lemma _root_.alg_hom.map_adjugate {R A B : Type*} [comm_semiring R] [comm_ring A] [comm_ring B]
[algebra R A] [algebra R B] (f : A →ₐ[R] B)
(M : matrix n n A) : f.map_matrix M.adjugate = matrix.adjugate (f.map_matrix M) :=
f.to_ring_hom.map_adjugate _
lemma det_adjugate (A : matrix n n α) : (adjugate A).det = A.det ^ (fintype.card n - 1) :=
begin
-- get rid of the `- 1`
cases (fintype.card n).eq_zero_or_pos with h_card h_card,
{ haveI : is_empty n := fintype.card_eq_zero_iff.mp h_card,
rw [h_card, nat.zero_sub, pow_zero, adjugate_subsingleton, det_one] },
replace h_card := tsub_add_cancel_of_le h_card.nat_succ_le,
-- express `A` as an evaluation of a polynomial in n^2 variables, and solve in the polynomial ring
-- where `A'.det` is non-zero.
let A' := mv_polynomial_X n n ℤ,
suffices : A'.adjugate.det = A'.det ^ (fintype.card n - 1),
{ rw [←mv_polynomial_X_map_matrix_aeval ℤ A, ←alg_hom.map_adjugate, ←alg_hom.map_det,
←alg_hom.map_det, ←alg_hom.map_pow, this] },
apply mul_left_cancel₀ (show A'.det ≠ 0, from det_mv_polynomial_X_ne_zero n ℤ),
calc A'.det * A'.adjugate.det
= (A' ⬝ adjugate A').det : (det_mul _ _).symm
... = A'.det ^ fintype.card n : by rw [mul_adjugate, det_smul, det_one, mul_one]
... = A'.det * A'.det ^ (fintype.card n - 1) : by rw [←pow_succ, h_card],
end
@[simp] lemma adjugate_fin_zero (A : matrix (fin 0) (fin 0) α) : adjugate A = 0 :=
subsingleton.elim _ _
@[simp] lemma adjugate_fin_one (A : matrix (fin 1) (fin 1) α) : adjugate A = 1 :=
adjugate_subsingleton A
lemma adjugate_fin_two (A : matrix (fin 2) (fin 2) α) :
adjugate A = !![A 1 1, -A 0 1; -A 1 0, A 0 0] :=
begin
ext i j,
rw [adjugate_apply, det_fin_two],
fin_cases i; fin_cases j;
simp only [nat.one_ne_zero, one_mul, fin.one_eq_zero_iff, pi.single_eq_same, zero_mul,
fin.zero_eq_one_iff, sub_zero, pi.single_eq_of_ne, ne.def, not_false_iff, update_row_self,
update_row_ne, cons_val_zero, mul_zero, mul_one, zero_sub, cons_val_one, head_cons, of_apply],
end
@[simp] lemma adjugate_fin_two_of (a b c d : α) :
adjugate !![a, b; c, d] = !![d, -b; -c, a] :=
adjugate_fin_two _
lemma adjugate_conj_transpose [star_ring α] (A : matrix n n α) : A.adjugateᴴ = adjugate (Aᴴ) :=
begin
dsimp only [conj_transpose],
have : Aᵀ.adjugate.map star = adjugate (Aᵀ.map star) := ((star_ring_end α).map_adjugate Aᵀ),
rw [A.adjugate_transpose, this],
end
lemma is_regular_of_is_left_regular_det {A : matrix n n α} (hA : is_left_regular A.det) :
is_regular A :=
begin
split,
{ intros B C h,
refine hA.matrix _,
rw [←matrix.one_mul B, ←matrix.one_mul C, ←matrix.smul_mul, ←matrix.smul_mul, ←adjugate_mul,
matrix.mul_assoc, matrix.mul_assoc, ←mul_eq_mul A, h, mul_eq_mul] },
{ intros B C h,
simp only [mul_eq_mul] at h,
refine hA.matrix _,
rw [←matrix.mul_one B, ←matrix.mul_one C, ←matrix.mul_smul, ←matrix.mul_smul, ←mul_adjugate,
←matrix.mul_assoc, ←matrix.mul_assoc, h] }
end
lemma adjugate_mul_distrib_aux (A B : matrix n n α)
(hA : is_left_regular A.det)
(hB : is_left_regular B.det) :
adjugate (A ⬝ B) = adjugate B ⬝ adjugate A :=
begin
have hAB : is_left_regular (A ⬝ B).det,
{ rw [det_mul],
exact hA.mul hB },
refine (is_regular_of_is_left_regular_det hAB).left _,
rw [mul_eq_mul, mul_adjugate, mul_eq_mul, matrix.mul_assoc, ←matrix.mul_assoc B, mul_adjugate,
smul_mul, matrix.one_mul, mul_smul, mul_adjugate, smul_smul, mul_comm, ←det_mul]
end
/--
Proof follows from "The trace Cayley-Hamilton theorem" by Darij Grinberg, Section 5.3
-/
lemma adjugate_mul_distrib (A B : matrix n n α) : adjugate (A ⬝ B) = adjugate B ⬝ adjugate A :=
begin
let g : matrix n n α → matrix n n α[X] :=
λ M, M.map polynomial.C + (polynomial.X : α[X]) • 1,
let f' : matrix n n α[X] →+* matrix n n α := (polynomial.eval_ring_hom 0).map_matrix,
have f'_inv : ∀ M, f' (g M) = M,
{ intro,
ext,
simp [f', g], },
have f'_adj : ∀ (M : matrix n n α), f' (adjugate (g M)) = adjugate M,
{ intro,
rw [ring_hom.map_adjugate, f'_inv] },
have f'_g_mul : ∀ (M N : matrix n n α), f' (g M ⬝ g N) = M ⬝ N,
{ intros,
rw [←mul_eq_mul, ring_hom.map_mul, f'_inv, f'_inv, mul_eq_mul] },
have hu : ∀ (M : matrix n n α), is_regular (g M).det,
{ intros M,
refine polynomial.monic.is_regular _,
simp only [g, polynomial.monic.def, ←polynomial.leading_coeff_det_X_one_add_C M, add_comm] },
rw [←f'_adj, ←f'_adj, ←f'_adj, ←mul_eq_mul (f' (adjugate (g B))), ←f'.map_mul, mul_eq_mul,
←adjugate_mul_distrib_aux _ _ (hu A).left (hu B).left, ring_hom.map_adjugate,
ring_hom.map_adjugate, f'_inv, f'_g_mul]
end
@[simp] lemma adjugate_pow (A : matrix n n α) (k : ℕ) :
adjugate (A ^ k) = (adjugate A) ^ k :=
begin
induction k with k IH,
{ simp },
{ rw [pow_succ', mul_eq_mul, adjugate_mul_distrib, IH, ←mul_eq_mul, pow_succ] }
end
lemma det_smul_adjugate_adjugate (A : matrix n n α) :
det A • adjugate (adjugate A) = det A ^ (fintype.card n - 1) • A :=
begin
have : A ⬝ (A.adjugate ⬝ A.adjugate.adjugate) = A ⬝ (A.det ^ (fintype.card n - 1) • 1),
{ rw [←adjugate_mul_distrib, adjugate_mul, adjugate_smul, adjugate_one], },
rwa [←matrix.mul_assoc, mul_adjugate, matrix.mul_smul, matrix.mul_one, matrix.smul_mul,
matrix.one_mul] at this,
end
/-- Note that this is not true for `fintype.card n = 1` since `1 - 2 = 0` and not `-1`. -/
lemma adjugate_adjugate (A : matrix n n α) (h : fintype.card n ≠ 1) :
adjugate (adjugate A) = det A ^ (fintype.card n - 2) • A :=
begin
-- get rid of the `- 2`
cases h_card : (fintype.card n) with n',
{ haveI : is_empty n := fintype.card_eq_zero_iff.mp h_card,
apply subsingleton.elim, },
cases n',
{ exact (h h_card).elim },
rw ←h_card,
-- express `A` as an evaluation of a polynomial in n^2 variables, and solve in the polynomial ring
-- where `A'.det` is non-zero.
let A' := mv_polynomial_X n n ℤ,
suffices : adjugate (adjugate A') = det A' ^ (fintype.card n - 2) • A',
{ rw [←mv_polynomial_X_map_matrix_aeval ℤ A, ←alg_hom.map_adjugate, ←alg_hom.map_adjugate, this,
←alg_hom.map_det, ← alg_hom.map_pow, alg_hom.map_matrix_apply, alg_hom.map_matrix_apply,
matrix.map_smul' _ _ _ (_root_.map_mul _)] },
have h_card' : fintype.card n - 2 + 1 = fintype.card n - 1,
{ simp [h_card] },
have is_reg : is_smul_regular (mv_polynomial (n × n) ℤ) (det A') :=
λ x y, mul_left_cancel₀ (det_mv_polynomial_X_ne_zero n ℤ),
apply is_reg.matrix,
rw [smul_smul, ←pow_succ, h_card', det_smul_adjugate_adjugate],
end
/-- A weaker version of `matrix.adjugate_adjugate` that uses `nontrivial`. -/
lemma adjugate_adjugate' (A : matrix n n α) [nontrivial n] :
adjugate (adjugate A) = det A ^ (fintype.card n - 2) • A :=
adjugate_adjugate _ $ fintype.one_lt_card.ne'
end adjugate
end matrix
|
b83424ca0d3adcb8e5fafb560acbc6c368cbc779 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/data/fintype/card_embedding.lean | efa216dadf65b76142577574d3d2989b93ce2695 | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 3,127 | lean | /-
Copyright (c) 2021 Eric Rodriguez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Rodriguez
-/
import data.fintype.card
import data.equiv.fin
import data.equiv.embedding
/-!
# Number of embeddings
This file establishes the cardinality of `α ↪ β` in full generality.
-/
local notation `|` x `|` := finset.card x
local notation `‖` x `‖` := fintype.card x
open_locale nat
local attribute [semireducible] function.embedding.fintype
namespace fintype
-- We need the separate `fintype α` instance as it contains data,
-- and may not match definitionally with the instance coming from `unique.fintype`.
lemma card_embedding_eq_of_unique
{α β : Type*} [unique α] [fintype α] [fintype β] [decidable_eq α] [decidable_eq β]:
‖α ↪ β‖ = ‖β‖ := card_congr equiv.unique_embedding_equiv_result
private lemma card_embedding_aux {n : ℕ} {β} [fintype β] [decidable_eq β] (h : n ≤ ‖β‖) :
‖fin n ↪ β‖ = ‖β‖.desc_factorial n :=
begin
induction n with n hn,
{ nontriviality (fin 0 ↪ β),
rw [nat.desc_factorial_zero, fintype.card_eq_one_iff],
refine ⟨nonempty.some nontrivial.to_nonempty, λ x, function.embedding.ext fin.elim0⟩ },
rw [nat.succ_eq_add_one, ←card_congr (equiv.embedding_congr fin_sum_fin_equiv (equiv.refl β)),
card_congr equiv.sum_embedding_equiv_sigma_embedding_restricted],
-- these `rw`s create goals for instances, which it doesn't infer for some reason
all_goals { try { apply_instance } },
-- however, this needs to be done here instead of at the end
-- else, a later `simp`, which depends on the `fintype` instance, won't work.
have : ∀ (f : fin n ↪ β), ‖fin 1 ↪ ((set.range f)ᶜ : set β)‖ = ‖β‖ - n,
{ intro f,
rw card_embedding_eq_of_unique,
rw card_of_finset' (finset.map f finset.univ)ᶜ,
{ rw [finset.card_compl, finset.card_map, finset.card_fin] },
{ simp } },
-- putting `card_sigma` in `simp` causes it to not fully simplify
rw card_sigma,
simp only [this, finset.sum_const, finset.card_univ, nsmul_eq_mul, nat.cast_id],
replace h := (nat.lt_of_succ_le h).le,
rw [nat.desc_factorial_succ, hn h, mul_comm]
end
/- Establishes the cardinality of the type of all injections between two finite types. -/
@[simp] theorem card_embedding_eq {α β} [fintype α] [fintype β] [decidable_eq α] [decidable_eq β] :
‖α ↪ β‖ = (‖β‖.desc_factorial ‖α‖) :=
begin
obtain h | h := lt_or_ge (‖β‖) (‖α‖),
{ rw [card_eq_zero_iff.mpr (function.embedding.is_empty_of_card_lt h),
nat.desc_factorial_eq_zero_iff_lt.mpr h] },
{ trunc_cases fintype.trunc_equiv_fin α with eq,
rw fintype.card_congr (equiv.embedding_congr eq (equiv.refl β)),
exact card_embedding_aux h }
end
/- The cardinality of embeddings from an infinite type to a finite type is zero.
This is a re-statement of the pigeonhole principle. -/
@[simp] lemma card_embedding_eq_of_infinite {α β} [infinite α] [fintype β] : ‖α ↪ β‖ = 0 :=
card_eq_zero_iff.mpr function.embedding.is_empty
end fintype
|
8e2b7f723a118d94198b00a7f02b43780a33d390 | 86f6f4f8d827a196a32bfc646234b73328aeb306 | /examples/sets_functions_and_relations/unnamed_461.lean | 44542c42e5d60b4eaf718a0753dc54e3f83de3b8 | [] | no_license | jamescheuk91/mathematics_in_lean | 09f1f87d2b0dce53464ff0cbe592c568ff59cf5e | 4452499264e2975bca2f42565c0925506ba5dda3 | refs/heads/master | 1,679,716,410,967 | 1,613,957,947,000 | 1,613,957,947,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 139 | lean | open set
-- BEGIN
example (x : ℕ) (h : x ∈ (∅ : set ℕ)) : false :=
h
example (x : ℕ) : x ∈ (univ : set ℕ) :=
trivial
-- END |
3fa5fde5534bd8e4cbc30b8404a52bc5f3e83fe8 | 4fc5f02f6ed9423b87987589bcc202f985d7e9ff | /src/game/world1/level1.lean | d73a924a5f7558e2e0d31552b829bcd78592366b | [
"Apache-2.0"
] | permissive | grthomson/natural_number_game | 2937533df0b83e73e6a873c0779ee21e30f09778 | 0a23a327ca724b95406c510ee27c55f5b97e612f | refs/heads/master | 1,599,994,591,355 | 1,588,869,073,000 | 1,588,869,073,000 | 222,750,177 | 0 | 0 | Apache-2.0 | 1,574,183,960,000 | 1,574,183,960,000 | null | UTF-8 | Lean | false | false | 3,783 | lean | import mynat.definition -- imports the natural numbers {0,1,2,3,4,...}.
import mynat.add -- imports definition of addition on the natural numbers.
import mynat.mul -- imports definition of multiplication on the natural numbers.
namespace mynat -- hide
-- World name : Tutorial world
/-
# Tutorial World
## Level 1: the `refl` tactic.
Let's learn some tactics! Let's start with the `refl` tactic. `refl` stands for "reflexivity", which is a fancy
way of saying that it will prove any goal of the form `A = A`. It doesn't matter how
complicated `A` is, all that matters is that the left hand side is *exactly equal* to the
right hand side (a computer scientist would say "definitionally equal"). I really mean
"press the same buttons on your computer in the same order" equal.
For example, `x * y + z = x * y + z` can be proved by `refl`, but `x + y = y + x` cannot.
Each level in this game involves proving a theorem or a lemma (a lemma is just a baby theorem).
The goal of the theorem will be a mathematical statement with a `⊢` just before it.
We will use tactics to manipulate and ultimately close (i.e. prove) these goals.
Let's see `refl` in action! At the bottom of the text in this box, there's a lemma,
which says that if $x$, $y$ and $z$ are natural numbers then $xy + z = xy + z$.
Locate this lemma (if you can't see the lemma and these instructions at the same time, make this box wider
by dragging the sides). Let's supply the proof. Click on the word `sorry` and then delete it.
When the system finishes being busy, you'll be able to see your goal -- the objective
of this level -- in the box on the top right. [NB if your system never finishes being busy, then
your computer is not running the javascript Lean which powers everything behind the scenes.
Try Chrome? Try not using private browsing?]
Remember that the goal is
the thing with the weird `⊢` thing just before it. The goal in this case is `x * y + z = x * y + z`,
where `x`, `y` and `z` are some of your very own natural numbers.
That's a pretty easy goal to prove -- you can just prove it with the `refl` tactic.
Where it used to say `sorry`, write
`refl,`
**and don't forget the comma**. Then hit enter to go onto the next line.
If all is well, Lean should tell you "Proof complete!" in the top right box, and there
should be no errors in the bottom right box. You just did the first
level of the tutorial! And you also learnt how to avoid by *far* the most
common mistake that beginner users make -- **every line must end with a comma**.
If things go weird and you don't understand why the top right box is empty,
check for missing commas. Also check you've spelt `refl` correctly: it's REFL
for "reflexivity".
For each level, the idea is to get Lean into this state: with the top right
box saying "Proof complete!" and the bottom right box empty (i.e. with no errors in).
If you want to be reminded about the `refl` tactic, you can click on the "Tactics" drop
down menu on the left. Resize the window if it's too small.
Now click on "next level" in the top right of your browser to go onto the second level of
tutorial world, where we'll learn about the `rw` tactic.
-/
/- Lemma : no-side-bar
For all natural numbers $x$, $y$ and $z$, we have $xy + z = xy + z$.
-/
lemma example1 (x y z : mynat) : x * y + z = x * y + z :=
begin [nat_num_game]
refl
end
/- Tactic : refl
## Summary
`refl` proves goals of the form `X = X`.
## Details
The `refl` tactic will close any goal of the form `A = B`
where `A` and `B` are *exactly the same thing*.
### Example:
If it looks like this in the top right hand box:
```
a b c d : mynat
⊢ (a + b) * (c + d) = (a + b) * (c + d)
```
then
`refl,`
will close the goal and solve the level. Don't forget the comma.
-/
end mynat -- hide
|
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