Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
English
Size:
100K - 1M
License:
import algebraic_topology.cech_nerve | |
universes v u | |
open category_theory opposite | |
-- dedup with `cech_iso_zero` in `src/prop819.lean` | |
noncomputable | |
def arrow.cech_nerve_obj_0 | |
{C : Type u} [category.{v} C] (F : arrow C) [limits.has_limits.{v} C] : | |
F.cech_nerve.obj (op (simplex_category.mk 0)) ≅ F.left := | |
{ hom := limits.wide_pullback.π _ 0, | |
inv := limits.wide_pullback.lift F.hom (λ _, 𝟙 _) (by simp only [category.id_comp, forall_const]), | |
hom_inv_id' := begin | |
apply limits.wide_pullback.hom_ext, | |
{ intro i, | |
simp only [limits.wide_pullback.lift_π, category.id_comp, category.comp_id, category.assoc], | |
congr, dsimp, simp only [eq_iff_true_of_subsingleton] }, | |
{ simp only [category.id_comp, category.assoc, limits.wide_pullback.lift_base, limits.wide_pullback.π_arrow] } | |
end, | |
inv_hom_id' := limits.wide_pullback.lift_π _ _ _ _ 0 } | |