Product and coproduct filters

In this file we define Filter.prod f g (notation: f ×ˢ g) and Filter.coprod f g. The product of two filters is the largest filter l such that Filter.Tendsto Prod.fst l f and Filter.Tendsto Prod.snd l g.

Implementation details

The product filter cannot be defined using the monad structure on filters. For example:

F := do {x ← seq, y ← top, return (x, y)}
G := do {y ← top, x ← seq, return (x, y)}

hence:

s ∈ F  ↔  ∃ n, [n..∞] × univ ⊆ s
s ∈ G  ↔  ∀ i:ℕ, ∃ n, [n..∞] × {i} ⊆ s

Now ⋃ i, [i..∞] × {i} is in G but not in F. As product filter we want to have F as result.

Notations

• f ×ˢ g : Filter.prod f g, localized in Filter.

def Filter.prod {α : Type u_1} {β : Type u_2} (f : Filter α) (g : Filter β) : Filter (α × β)

Product of filters. This is the filter generated by cartesian products of elements of the component filters.

Equations

• Filter.prod f g = Filter.comap Prod.fst f ⊓ Filter.comap Prod.snd g

instance Filter.instSProd {α : Type u_1} {β : Type u_2} : SProd (Filter α) (Filter β) (Filter (α × β))

Equations

• Filter.instSProd = { sprod := Filter.prod }

theorem Filter.prod_mem_prod {α : Type u_1} {β : Type u_2} {s : Set α} {t : Set β} {f : Filter α} {g : Filter β} (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g

theorem Filter.mem_prod_iff {α : Type u_1} {β : Type u_2} {s : Set (α × β)} {f : Filter α} {g : Filter β} : s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s

@[simp]

theorem Filter.prod_mem_prod_iff {α : Type u_1} {β : Type u_2} {s : Set α} {t : Set β} {f : Filter α} {g : Filter β} [Filter.NeBot f] [Filter.NeBot g] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g

theorem Filter.mem_prod_principal {α : Type u_1} {β : Type u_2} {t : Set β} {f : Filter α} {s : Set (α × β)} : s ∈ f ×ˢ Filter.principal t ↔ {a : α | ∀ b ∈ t, (a, b) ∈ s} ∈ f

theorem Filter.mem_prod_top {α : Type u_1} {β : Type u_2} {f : Filter α} {s : Set (α × β)} : s ∈ f ×ˢ ⊤ ↔ {a : α | ∀ (b : β), (a, b) ∈ s} ∈ f

theorem Filter.eventually_prod_principal_iff {α : Type u_1} {β : Type u_2} {f : Filter α} {p : α × β → Prop} {s : Set β} : (∀ᶠ (x : α × β) in f ×ˢ Filter.principal s, p x) ↔ ∀ᶠ (x : α) in f, ∀ y ∈ s, p (x, y)

theorem Filter.comap_prod {α : Type u_1} {β : Type u_2} {γ : Type u_3} (f : α → β × γ) (b : Filter β) (c : Filter γ) : Filter.comap f (b ×ˢ c) = Filter.comap (Prod.fst ∘ f) b ⊓ Filter.comap (Prod.snd ∘ f) c

theorem Filter.prod_top {α : Type u_1} {β : Type u_2} {f : Filter α} : f ×ˢ ⊤ = Filter.comap Prod.fst f

theorem Filter.sup_prod {α : Type u_1} {β : Type u_2} (f₁ : Filter α) (f₂ : Filter α) (g : Filter β) : (f₁ ⊔ f₂) ×ˢ g = f₁ ×ˢ g ⊔ f₂ ×ˢ g

theorem Filter.prod_sup {α : Type u_1} {β : Type u_2} (f : Filter α) (g₁ : Filter β) (g₂ : Filter β) : f ×ˢ (g₁ ⊔ g₂) = f ×ˢ g₁ ⊔ f ×ˢ g₂

theorem Filter.eventually_prod_iff {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} {p : α × β → Prop} : (∀ᶠ (x : α × β) in f ×ˢ g, p x) ↔ ∃ (pa : α → Prop), (∀ᶠ (x : α) in f, pa x) ∧ ∃ (pb : β → Prop), (∀ᶠ (y : β) in g, pb y) ∧ ∀ {x : α}, pa x → ∀ {y : β}, pb y → p (x, y)

theorem Filter.tendsto_fst {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : Filter.Tendsto Prod.fst (f ×ˢ g) f

theorem Filter.tendsto_snd {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : Filter.Tendsto Prod.snd (f ×ˢ g) g

theorem Filter.Tendsto.fst {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : Filter α} {g : Filter β} {h : Filter γ} {m : α → β × γ} (H : Filter.Tendsto m f (g ×ˢ h)) : Filter.Tendsto (fun (a : α) => (m a).1) f g

If a function tends to a product g ×ˢ h of filters, then its first component tends to g. See also Filter.Tendsto.fst_nhds for the special case of converging to a point in a product of two topological spaces.

theorem Filter.Tendsto.snd {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : Filter α} {g : Filter β} {h : Filter γ} {m : α → β × γ} (H : Filter.Tendsto m f (g ×ˢ h)) : Filter.Tendsto (fun (a : α) => (m a).2) f h

If a function tends to a product g ×ˢ h of filters, then its second component tends to h. See also Filter.Tendsto.snd_nhds for the special case of converging to a point in a product of two topological spaces.

theorem Filter.Tendsto.prod_mk {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : Filter α} {g : Filter β} {h : Filter γ} {m₁ : α → β} {m₂ : α → γ} (h₁ : Filter.Tendsto m₁ f g) (h₂ : Filter.Tendsto m₂ f h) : Filter.Tendsto (fun (x : α) => (m₁ x, m₂ x)) f (g ×ˢ h)

theorem Filter.tendsto_prod_swap {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : Filter.Tendsto Prod.swap (f ×ˢ g) (g ×ˢ f)

theorem Filter.Eventually.prod_inl {α : Type u_1} {β : Type u_2} {la : Filter α} {p : α → Prop} (h : ∀ᶠ (x : α) in la, p x) (lb : Filter β) : ∀ᶠ (x : α × β) in la ×ˢ lb, p x.1

theorem Filter.Eventually.prod_inr {α : Type u_1} {β : Type u_2} {lb : Filter β} {p : β → Prop} (h : ∀ᶠ (x : β) in lb, p x) (la : Filter α) : ∀ᶠ (x : α × β) in la ×ˢ lb, p x.2

theorem Filter.Eventually.prod_mk {α : Type u_1} {β : Type u_2} {la : Filter α} {pa : α → Prop} (ha : ∀ᶠ (x : α) in la, pa x) {lb : Filter β} {pb : β → Prop} (hb : ∀ᶠ (y : β) in lb, pb y) : ∀ᶠ (p : α × β) in la ×ˢ lb, pa p.1 ∧ pb p.2

theorem Filter.EventuallyEq.prod_map {α : Type u_1} {β : Type u_2} {γ : Type u_3} {δ : Type u_6} {la : Filter α} {fa : α → γ} {ga : α → γ} (ha : fa =ᶠ[la] ga) {lb : Filter β} {fb : β → δ} {gb : β → δ} (hb : fb =ᶠ[lb] gb) : Prod.map fa fb =ᶠ[la ×ˢ lb] Prod.map ga gb

theorem Filter.EventuallyLE.prod_map {α : Type u_1} {β : Type u_2} {γ : Type u_3} {δ : Type u_6} [LE γ] [LE δ] {la : Filter α} {fa : α → γ} {ga : α → γ} (ha : fa ≤ᶠ[la] ga) {lb : Filter β} {fb : β → δ} {gb : β → δ} (hb : fb ≤ᶠ[lb] gb) : Prod.map fa fb ≤ᶠ[la ×ˢ lb] Prod.map ga gb

theorem Filter.Eventually.curry {α : Type u_1} {β : Type u_2} {la : Filter α} {lb : Filter β} {p : α × β → Prop} (h : ∀ᶠ (x : α × β) in la ×ˢ lb, p x) : ∀ᶠ (x : α) in la, ∀ᶠ (y : β) in lb, p (x, y)

theorem Filter.Frequently.uncurry {α : Type u_1} {β : Type u_2} {la : Filter α} {lb : Filter β} {p : α → β → Prop} (h : ∃ᶠ (x : α) in la, ∃ᶠ (y : β) in lb, p x y) : ∃ᶠ (xy : α × β) in la ×ˢ lb, p xy.1 xy.2

theorem Filter.Eventually.diag_of_prod {α : Type u_1} {f : Filter α} {p : α × α → Prop} (h : ∀ᶠ (i : α × α) in f ×ˢ f, p i) : ∀ᶠ (i : α) in f, p (i, i)

A fact that is eventually true about all pairs l ×ˢ l is eventually true about all diagonal pairs (i, i)

theorem Filter.Eventually.diag_of_prod_left {α : Type u_1} {γ : Type u_3} {f : Filter α} {g : Filter γ} {p : (α × α) × γ → Prop} : (∀ᶠ (x : (α × α) × γ) in (f ×ˢ f) ×ˢ g, p x) → ∀ᶠ (x : α × γ) in f ×ˢ g, p ((x.1, x.1), x.2)

theorem Filter.Eventually.diag_of_prod_right {α : Type u_1} {γ : Type u_3} {f : Filter α} {g : Filter γ} {p : α × γ × γ → Prop} : (∀ᶠ (x : α × γ × γ) in f ×ˢ g ×ˢ g, p x) → ∀ᶠ (x : α × γ) in f ×ˢ g, p (x.1, x.2, x.2)

theorem Filter.tendsto_diag {α : Type u_1} {f : Filter α} : Filter.Tendsto (fun (i : α) => (i, i)) f (f ×ˢ f)

theorem Filter.prod_iInf_left {α : Type u_1} {β : Type u_2} {ι : Sort u_5} [Nonempty ι] {f : ι → Filter α} {g : Filter β} : (⨅ (i : ι), f i) ×ˢ g = ⨅ (i : ι), f i ×ˢ g

theorem Filter.prod_iInf_right {α : Type u_1} {β : Type u_2} {ι : Sort u_5} [Nonempty ι] {f : Filter α} {g : ι → Filter β} : f ×ˢ ⨅ (i : ι), g i = ⨅ (i : ι), f ×ˢ g i

theorem Filter.prod_mono {α : Type u_1} {β : Type u_2} {f₁ : Filter α} {f₂ : Filter α} {g₁ : Filter β} {g₂ : Filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : f₁ ×ˢ g₁ ≤ f₂ ×ˢ g₂

theorem Filter.prod_mono_left {α : Type u_1} {β : Type u_2} (g : Filter β) {f₁ : Filter α} {f₂ : Filter α} (hf : f₁ ≤ f₂) : f₁ ×ˢ g ≤ f₂ ×ˢ g

theorem Filter.prod_mono_right {α : Type u_1} {β : Type u_2} (f : Filter α) {g₁ : Filter β} {g₂ : Filter β} (hf : g₁ ≤ g₂) : f ×ˢ g₁ ≤ f ×ˢ g₂

theorem Filter.prod_comap_comap_eq {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x} {f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : β₁ → α₁} {m₂ : β₂ → α₂} : Filter.comap m₁ f₁ ×ˢ Filter.comap m₂ f₂ = Filter.comap (fun (p : β₁ × β₂) => (m₁ p.1, m₂ p.2)) (f₁ ×ˢ f₂)

theorem Filter.prod_comm' {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : f ×ˢ g = Filter.comap Prod.swap (g ×ˢ f)

theorem Filter.prod_comm {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : f ×ˢ g = Filter.map (fun (p : β × α) => (p.2, p.1)) (g ×ˢ f)

theorem Filter.mem_prod_iff_left {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} {s : Set (α × β)} : s ∈ f ×ˢ g ↔ ∃ t ∈ f, ∀ᶠ (y : β) in g, ∀ x ∈ t, (x, y) ∈ s

theorem Filter.mem_prod_iff_right {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} {s : Set (α × β)} : s ∈ f ×ˢ g ↔ ∃ t ∈ g, ∀ᶠ (x : α) in f, ∀ y ∈ t, (x, y) ∈ s

@[simp]

theorem Filter.map_fst_prod {α : Type u_1} {β : Type u_2} (f : Filter α) (g : Filter β) [Filter.NeBot g] : Filter.map Prod.fst (f ×ˢ g) = f

@[simp]

theorem Filter.map_snd_prod {α : Type u_1} {β : Type u_2} (f : Filter α) (g : Filter β) [Filter.NeBot f] : Filter.map Prod.snd (f ×ˢ g) = g

@[simp]

theorem Filter.prod_le_prod {α : Type u_1} {β : Type u_2} {f₁ : Filter α} {f₂ : Filter α} {g₁ : Filter β} {g₂ : Filter β} [Filter.NeBot f₁] [Filter.NeBot g₁] : f₁ ×ˢ g₁ ≤ f₂ ×ˢ g₂ ↔ f₁ ≤ f₂ ∧ g₁ ≤ g₂

@[simp]

theorem Filter.prod_inj {α : Type u_1} {β : Type u_2} {f₁ : Filter α} {f₂ : Filter α} {g₁ : Filter β} {g₂ : Filter β} [Filter.NeBot f₁] [Filter.NeBot g₁] : f₁ ×ˢ g₁ = f₂ ×ˢ g₂ ↔ f₁ = f₂ ∧ g₁ = g₂

theorem Filter.eventually_swap_iff {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} {p : α × β → Prop} : (∀ᶠ (x : α × β) in f ×ˢ g, p x) ↔ ∀ᶠ (y : β × α) in g ×ˢ f, p (Prod.swap y)

theorem Filter.prod_assoc {α : Type u_1} {β : Type u_2} {γ : Type u_3} (f : Filter α) (g : Filter β) (h : Filter γ) : Filter.map (⇑(Equiv.prodAssoc α β γ)) ((f ×ˢ g) ×ˢ h) = f ×ˢ g ×ˢ h

theorem Filter.prod_assoc_symm {α : Type u_1} {β : Type u_2} {γ : Type u_3} (f : Filter α) (g : Filter β) (h : Filter γ) : Filter.map (⇑(Equiv.prodAssoc α β γ).symm) (f ×ˢ g ×ˢ h) = (f ×ˢ g) ×ˢ h

theorem Filter.tendsto_prodAssoc {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : Filter α} {g : Filter β} {h : Filter γ} : Filter.Tendsto (⇑(Equiv.prodAssoc α β γ)) ((f ×ˢ g) ×ˢ h) (f ×ˢ g ×ˢ h)

theorem Filter.tendsto_prodAssoc_symm {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : Filter α} {g : Filter β} {h : Filter γ} : Filter.Tendsto (⇑(Equiv.prodAssoc α β γ).symm) (f ×ˢ g ×ˢ h) ((f ×ˢ g) ×ˢ h)

theorem Filter.map_swap4_prod {α : Type u_1} {β : Type u_2} {γ : Type u_3} {δ : Type u_4} {f : Filter α} {g : Filter β} {h : Filter γ} {k : Filter δ} : Filter.map (fun (p : (α × β) × γ × δ) => ((p.1.1, p.2.1), p.1.2, p.2.2)) ((f ×ˢ g) ×ˢ h ×ˢ k) = (f ×ˢ h) ×ˢ g ×ˢ k

A useful lemma when dealing with uniformities.

theorem Filter.tendsto_swap4_prod {α : Type u_1} {β : Type u_2} {γ : Type u_3} {δ : Type u_4} {f : Filter α} {g : Filter β} {h : Filter γ} {k : Filter δ} : Filter.Tendsto (fun (p : (α × β) × γ × δ) => ((p.1.1, p.2.1), p.1.2, p.2.2)) ((f ×ˢ g) ×ˢ h ×ˢ k) ((f ×ˢ h) ×ˢ g ×ˢ k)

theorem Filter.prod_map_map_eq {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x} {f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : α₁ → β₁} {m₂ : α₂ → β₂} : Filter.map m₁ f₁ ×ˢ Filter.map m₂ f₂ = Filter.map (fun (p : α₁ × α₂) => (m₁ p.1, m₂ p.2)) (f₁ ×ˢ f₂)

theorem Filter.prod_map_map_eq' {α₁ : Type u_6} {α₂ : Type u_7} {β₁ : Type u_8} {β₂ : Type u_9} (f : α₁ → α₂) (g : β₁ → β₂) (F : Filter α₁) (G : Filter β₁) : Filter.map f F ×ˢ Filter.map g G = Filter.map (Prod.map f g) (F ×ˢ G)

theorem Filter.prod_map_left {α : Type u_1} {β : Type u_2} {γ : Type u_3} (f : α → β) (F : Filter α) (G : Filter γ) : Filter.map f F ×ˢ G = Filter.map (Prod.map f id) (F ×ˢ G)

theorem Filter.prod_map_right {α : Type u_1} {β : Type u_2} {γ : Type u_3} (f : β → γ) (F : Filter α) (G : Filter β) : F ×ˢ Filter.map f G = Filter.map (Prod.map id f) (F ×ˢ G)

theorem Filter.le_prod_map_fst_snd {α : Type u_1} {β : Type u_2} {f : Filter (α × β)} : f ≤ Filter.map Prod.fst f ×ˢ Filter.map Prod.snd f

theorem Filter.Tendsto.prod_map {α : Type u_1} {β : Type u_2} {γ : Type u_3} {δ : Type u_6} {f : α → γ} {g : β → δ} {a : Filter α} {b : Filter β} {c : Filter γ} {d : Filter δ} (hf : Filter.Tendsto f a c) (hg : Filter.Tendsto g b d) : Filter.Tendsto (Prod.map f g) (a ×ˢ b) (c ×ˢ d)

theorem Filter.map_prod {α : Type u_1} {β : Type u_2} {γ : Type u_3} (m : α × β → γ) (f : Filter α) (g : Filter β) : Filter.map m (f ×ˢ g) = Filter.seq (Filter.map (fun (a : α) (b : β) => m (a, b)) f) g

theorem Filter.prod_eq {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : f ×ˢ g = Filter.seq (Filter.map Prod.mk f) g

theorem Filter.prod_inf_prod {α : Type u_1} {β : Type u_2} {f₁ : Filter α} {f₂ : Filter α} {g₁ : Filter β} {g₂ : Filter β} : f₁ ×ˢ g₁ ⊓ f₂ ×ˢ g₂ = (f₁ ⊓ f₂) ×ˢ (g₁ ⊓ g₂)

theorem Filter.inf_prod {α : Type u_1} {β : Type u_2} {g : Filter β} {f₁ : Filter α} {f₂ : Filter α} : (f₁ ⊓ f₂) ×ˢ g = f₁ ×ˢ g ⊓ f₂ ×ˢ g

theorem Filter.prod_inf {α : Type u_1} {β : Type u_2} {f : Filter α} {g₁ : Filter β} {g₂ : Filter β} : f ×ˢ (g₁ ⊓ g₂) = f ×ˢ g₁ ⊓ f ×ˢ g₂

@[simp]

theorem Filter.prod_principal_principal {α : Type u_1} {β : Type u_2} {s : Set α} {t : Set β} : Filter.principal s ×ˢ Filter.principal t = Filter.principal (s ×ˢ t)

@[simp]

theorem Filter.pure_prod {α : Type u_1} {β : Type u_2} {a : α} {f : Filter β} : pure a ×ˢ f = Filter.map (Prod.mk a) f

theorem Filter.map_pure_prod {α : Type u_1} {β : Type u_2} {γ : Type u_3} (f : α → β → γ) (a : α) (B : Filter β) : Filter.map (Function.uncurry f) (pure a ×ˢ B) = Filter.map (f a) B

@[simp]

theorem Filter.prod_pure {α : Type u_1} {β : Type u_2} {f : Filter α} {b : β} : f ×ˢ pure b = Filter.map (fun (a : α) => (a, b)) f

theorem Filter.prod_pure_pure {α : Type u_1} {β : Type u_2} {a : α} {b : β} : pure a ×ˢ pure b = pure (a, b)

@[simp]

theorem Filter.prod_eq_bot {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : f ×ˢ g = ⊥ ↔ f = ⊥ ∨ g = ⊥

@[simp]

theorem Filter.prod_bot {α : Type u_1} {β : Type u_2} {f : Filter α} : f ×ˢ ⊥ = ⊥

@[simp]

theorem Filter.bot_prod {α : Type u_1} {β : Type u_2} {g : Filter β} : ⊥ ×ˢ g = ⊥

theorem Filter.prod_neBot {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : Filter.NeBot (f ×ˢ g) ↔ Filter.NeBot f ∧ Filter.NeBot g

theorem Filter.NeBot.prod {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} (hf : Filter.NeBot f) (hg : Filter.NeBot g) : Filter.NeBot (f ×ˢ g)

instance Filter.prod.instNeBot {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} [hf : Filter.NeBot f] [hg : Filter.NeBot g] : Filter.NeBot (f ×ˢ g)

Equations

• ⋯ = ⋯

@[simp]

theorem Filter.disjoint_prod {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} {f' : Filter α} {g' : Filter β} : Disjoint (f ×ˢ g) (f' ×ˢ g') ↔ Disjoint f f' ∨ Disjoint g g'

theorem Filter.frequently_prod_and {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} {p : α → Prop} {q : β → Prop} : (∃ᶠ (x : α × β) in f ×ˢ g, p x.1 ∧ q x.2) ↔ (∃ᶠ (a : α) in f, p a) ∧ ∃ᶠ (b : β) in g, q b

p ∧ q occurs frequently along the product of two filters iff both p and q occur frequently along the corresponding filters.

theorem Filter.tendsto_prod_iff {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : α × β → γ} {x : Filter α} {y : Filter β} {z : Filter γ} : Filter.Tendsto f (x ×ˢ y) z ↔ ∀ W ∈ z, ∃ U ∈ x, ∃ V ∈ y, ∀ (x : α) (y : β), x ∈ U → y ∈ V → f (x, y) ∈ W

theorem Filter.tendsto_prod_iff' {α : Type u_1} {β : Type u_2} {γ : Type u_3} {f : Filter α} {g : Filter β} {g' : Filter γ} {s : α → β × γ} : Filter.Tendsto s f (g ×ˢ g') ↔ Filter.Tendsto (fun (n : α) => (s n).1) f g ∧ Filter.Tendsto (fun (n : α) => (s n).2) f g'

theorem Filter.le_prod {α : Type u_1} {β : Type u_2} {f : Filter (α × β)} {g : Filter α} {g' : Filter β} : f ≤ g ×ˢ g' ↔ Filter.Tendsto Prod.fst f g ∧ Filter.Tendsto Prod.snd f g'

Coproducts of filters

def Filter.coprod {α : Type u_1} {β : Type u_2} (f : Filter α) (g : Filter β) : Filter (α × β)

Coproduct of filters.

Equations

• Filter.coprod f g = Filter.comap Prod.fst f ⊔ Filter.comap Prod.snd g

theorem Filter.mem_coprod_iff {α : Type u_1} {β : Type u_2} {s : Set (α × β)} {f : Filter α} {g : Filter β} : s ∈ Filter.coprod f g ↔ (∃ t₁ ∈ f, Prod.fst ⁻¹' t₁ ⊆ s) ∧ ∃ t₂ ∈ g, Prod.snd ⁻¹' t₂ ⊆ s

@[simp]

theorem Filter.bot_coprod {α : Type u_1} {β : Type u_2} (l : Filter β) : Filter.coprod ⊥ l = Filter.comap Prod.snd l

@[simp]

theorem Filter.coprod_bot {α : Type u_1} {β : Type u_2} (l : Filter α) : Filter.coprod l ⊥ = Filter.comap Prod.fst l

theorem Filter.bot_coprod_bot {α : Type u_1} {β : Type u_2} : Filter.coprod ⊥ ⊥ = ⊥

theorem Filter.compl_mem_coprod {α : Type u_1} {β : Type u_2} {s : Set (α × β)} {la : Filter α} {lb : Filter β} : sᶜ ∈ Filter.coprod la lb ↔ (Prod.fst '' s)ᶜ ∈ la ∧ (Prod.snd '' s)ᶜ ∈ lb

theorem Filter.coprod_mono {α : Type u_1} {β : Type u_2} {f₁ : Filter α} {f₂ : Filter α} {g₁ : Filter β} {g₂ : Filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : Filter.coprod f₁ g₁ ≤ Filter.coprod f₂ g₂

theorem Filter.coprod_neBot_iff {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} : Filter.NeBot (Filter.coprod f g) ↔ Filter.NeBot f ∧ Nonempty β ∨ Nonempty α ∧ Filter.NeBot g

theorem Filter.coprod_neBot_left {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} [Filter.NeBot f] [Nonempty β] : Filter.NeBot (Filter.coprod f g)

theorem Filter.coprod_neBot_right {α : Type u_1} {β : Type u_2} {f : Filter α} {g : Filter β} [Filter.NeBot g] [Nonempty α] : Filter.NeBot (Filter.coprod f g)

theorem Filter.principal_coprod_principal {α : Type u_1} {β : Type u_2} (s : Set α) (t : Set β) : Filter.coprod (Filter.principal s) (Filter.principal t) = Filter.principal (sᶜ ×ˢ tᶜ)ᶜ

theorem Filter.map_prod_map_coprod_le {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x} {f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : α₁ → β₁} {m₂ : α₂ → β₂} : Filter.map (Prod.map m₁ m₂) (Filter.coprod f₁ f₂) ≤ Filter.coprod (Filter.map m₁ f₁) (Filter.map m₂ f₂)

theorem Filter.map_const_principal_coprod_map_id_principal {α : Type u_6} {β : Type u_7} {ι : Type u_8} (a : α) (b : β) (i : ι) : Filter.coprod (Filter.map (fun (x : α) => b) (Filter.principal {a})) (Filter.map id (Filter.principal {i})) = Filter.principal ({b} ×ˢ Set.univ ∪ Set.univ ×ˢ {i})

Characterization of the coproduct of the Filter.maps of two principal filters 𝓟 {a} and 𝓟 {i}, the first under the constant function fun a => b and the second under the identity function. Together with the next lemma, map_prod_map_const_id_principal_coprod_principal, this provides an example showing that the inequality in the lemma map_prod_map_coprod_le can be strict.

theorem Filter.map_prod_map_const_id_principal_coprod_principal {α : Type u_6} {β : Type u_7} {ι : Type u_8} (a : α) (b : β) (i : ι) : Filter.map (Prod.map (fun (x : α) => b) id) (Filter.coprod (Filter.principal {a}) (Filter.principal {i})) = Filter.principal ({b} ×ˢ Set.univ)

Characterization of the Filter.map of the coproduct of two principal filters 𝓟 {a} and 𝓟 {i}, under the Prod.map of two functions, respectively the constant function fun a => b and the identity function. Together with the previous lemma, map_const_principal_coprod_map_id_principal, this provides an example showing that the inequality in the lemma map_prod_map_coprod_le can be strict.

theorem Filter.Tendsto.prod_map_coprod {α : Type u_1} {β : Type u_2} {γ : Type u_3} {δ : Type u_6} {f : α → γ} {g : β → δ} {a : Filter α} {b : Filter β} {c : Filter γ} {d : Filter δ} (hf : Filter.Tendsto f a c) (hg : Filter.Tendsto g b d) : Filter.Tendsto (Prod.map f g) (Filter.coprod a b) (Filter.coprod c d)