Dense embeddings #
This file defines three properties of functions:
dense_range fmeansfhas dense image;dense_inducing imeansiis alsoinducing;dense_embedding emeanseis also anembedding.
The main theorem continuous_extend gives a criterion for a function
f : X → Z to a regular (T₃) space Z to extend along a dense embedding
i : X → Y to a continuous function g : Y → Z. Actually i only
has to be dense_inducing (not necessarily injective).
- to_inducing : inducing i
- dense : dense_range i
i : α → β is "dense inducing" if it has dense range and the topology on α
is the one induced by i from the topology on β.
If i : α → β is a dense embedding with dense complement of the range, then any compact set in
α has empty interior.
The product of two dense inducings is a dense inducing
If the domain of a dense_inducing map is a separable space, then so is the codomain.
γ -f→ α
g↓ ↓e
δ -h→ β
If i : α → β is a dense inducing, then any function f : α → γ "extends"
to a function g = extend di f : β → γ. If γ is Hausdorff and f has a
continuous extension, then g is the unique such extension. In general,
g might not be continuous or even extend f.
Equations
- di.extend f b = lim (filter.comap i (𝓝 b)) f
Variation of extend_eq where we ask that f has a limit along comap i (𝓝 b) for each
b : β. This is a strictly stronger assumption than continuity of f, but in a lot of cases
you'd have to prove it anyway to use continuous_extend, so this avoids doing the work twice.
- to_dense_inducing : dense_inducing e
- inj : function.injective e
A dense embedding is an embedding with dense image.
If the domain of a dense_embedding is a separable space, then so is its codomain.
The product of two dense embeddings is a dense embedding.
The dense embedding of a subtype inside its closure.
Equations
- dense_embedding.subtype_emb p e x = ⟨e ↑x, _⟩
Two continuous functions to a t2-space that agree on the dense range of a function are equal.