Extended metric spaces #
This file is devoted to the definition and study of EMetricSpace
s, i.e., metric
spaces in which the distance is allowed to take the value ∞. This extended distance is
called edist
, and takes values in ℝ≥0∞
.
Many definitions and theorems expected on emetric spaces are already introduced on uniform spaces and topological spaces. For example: open and closed sets, compactness, completeness, continuity and uniform continuity.
The class EMetricSpace
therefore extends UniformSpace
(and TopologicalSpace
).
Since a lot of elementary properties don't require eq_of_edist_eq_zero
we start setting up the
theory of PseudoEMetricSpace
, where we don't require edist x y = 0 → x = y
and we specialize
to EMetricSpace
at the end.
Characterizing uniformities associated to a (generalized) distance function D
in terms of the elements of the uniformity.
Creating a uniform space from an extended distance.
Equations
- uniformSpaceOfEDist edist edist_self edist_comm edist_triangle = UniformSpace.ofFun edist edist_self edist_comm edist_triangle uniformSpaceOfEDist.proof_1
Instances For
Extended (pseudo) metric spaces, with an extended distance edist
possibly taking the
value ∞
Each pseudo_emetric space induces a canonical UniformSpace
and hence a canonical
TopologicalSpace
.
This is enforced in the type class definition, by extending the UniformSpace
structure. When
instantiating a PseudoEMetricSpace
structure, the uniformity fields are not necessary, they
will be filled in by default. There is a default value for the uniformity, that can be substituted
in cases of interest, for instance when instantiating a PseudoEMetricSpace
structure
on a product.
Continuity of edist
is proved in Topology.Instances.ENNReal
- edist : α → α → ENNReal
- toUniformSpace : UniformSpace α
- uniformity_edist : uniformity α = ⨅ (ε : ENNReal), ⨅ (_ : ε > 0), Filter.principal {p : α × α | edist p.1 p.2 < ε}
Instances
Two pseudo emetric space structures with the same edistance function coincide.
Triangle inequality for the extended distance
The triangle (polygon) inequality for sequences of points; Finset.Ico
version.
The triangle (polygon) inequality for sequences of points; Finset.range
version.
A version of edist_le_Ico_sum_edist
with each intermediate distance replaced
with an upper estimate.
A version of edist_le_range_sum_edist
with each intermediate distance replaced
with an upper estimate.
Reformulation of the uniform structure in terms of the extended distance
Characterization of the elements of the uniformity in terms of the extended distance
Given f : β → ℝ≥0∞
, if f
sends {i | p i}
to a set of positive numbers
accumulating to zero, then f i
-neighborhoods of the diagonal form a basis of 𝓤 α
.
For specific bases see uniformity_basis_edist
, uniformity_basis_edist'
,
uniformity_basis_edist_nnreal
, and uniformity_basis_edist_inv_nat
.
Given f : β → ℝ≥0∞
, if f
sends {i | p i}
to a set of positive numbers
accumulating to zero, then closed f i
-neighborhoods of the diagonal form a basis of 𝓤 α
.
For specific bases see uniformity_basis_edist_le
and uniformity_basis_edist_le'
.
Fixed size neighborhoods of the diagonal belong to the uniform structure
Equations
- ⋯ = ⋯
ε-δ characterization of uniform continuity on a set for pseudoemetric spaces
ε-δ characterization of uniform continuity on pseudoemetric spaces
ε-δ characterization of uniform embeddings on pseudoemetric spaces
If a map between pseudoemetric spaces is a uniform embedding then the edistance between f x
and f y
is controlled in terms of the distance between x
and y
.
In fact, this lemma holds for a UniformInducing
map.
TODO: generalize?
A very useful criterion to show that a space is complete is to show that all sequences
which satisfy a bound of the form edist (u n) (u m) < B N
for all n m ≥ N
are
converging. This is often applied for B N = 2^{-N}
, i.e., with a very fast convergence to
0
, which makes it possible to use arguments of converging series, while this is impossible
to do in general for arbitrary Cauchy sequences.
A sequentially complete pseudoemetric space is complete.
Expressing locally uniform convergence on a set using edist
.
Expressing uniform convergence on a set using edist
.
Expressing locally uniform convergence using edist
.
Expressing uniform convergence using edist
.
Auxiliary function to replace the uniformity on a pseudoemetric space with a uniformity which is equal to the original one, but maybe not defeq. This is useful if one wants to construct a pseudoemetric space with a specified uniformity. See Note [forgetful inheritance] explaining why having definitionally the right uniformity is often important.
Equations
- m.replaceUniformity H = PseudoEMetricSpace.mk ⋯ ⋯ ⋯ U ⋯
Instances For
The extended pseudometric induced by a function taking values in a pseudoemetric space.
Equations
- PseudoEMetricSpace.induced f m = PseudoEMetricSpace.mk ⋯ ⋯ ⋯ (UniformSpace.comap f PseudoEMetricSpace.toUniformSpace) ⋯
Instances For
Pseudoemetric space instance on subsets of pseudoemetric spaces
Equations
- instPseudoEMetricSpaceSubtype = PseudoEMetricSpace.induced Subtype.val inst
The extended pseudodistance on a subset of a pseudoemetric space is the restriction of the original pseudodistance, by definition
Pseudoemetric space instance on the additive opposite of a pseudoemetric space.
Equations
- AddOpposite.instPseudoEMetricSpace = PseudoEMetricSpace.induced AddOpposite.unop inst
Pseudoemetric space instance on the multiplicative opposite of a pseudoemetric space.
Equations
- MulOpposite.instPseudoEMetricSpace = PseudoEMetricSpace.induced MulOpposite.unop inst
Equations
- instPseudoEMetricSpaceULift = PseudoEMetricSpace.induced ULift.down inst
The product of two pseudoemetric spaces, with the max distance, is an extended pseudometric spaces. We make sure that the uniform structure thus constructed is the one corresponding to the product of uniform spaces, to avoid diamond problems.
Equations
- Prod.pseudoEMetricSpaceMax = PseudoEMetricSpace.mk ⋯ ⋯ ⋯ inferInstance ⋯
The product of a finite number of pseudoemetric spaces, with the max distance, is still a pseudoemetric space. This construction would also work for infinite products, but it would not give rise to the product topology. Hence, we only formalize it in the good situation of finitely many spaces.
Equations
- pseudoEMetricSpacePi = PseudoEMetricSpace.mk ⋯ ⋯ ⋯ (Pi.uniformSpace fun (b : β) => π b) ⋯
EMetric.ball x ε
is the set of all points y
with edist y x < ε
Equations
- EMetric.ball x ε = {y : α | edist y x < ε}
Instances For
EMetric.closedBall x ε
is the set of all points y
with edist y x ≤ ε
Equations
- EMetric.closedBall x ε = {y : α | edist y x ≤ ε}
Instances For
Relation “two points are at a finite edistance” is an equivalence relation.
Instances For
ε-characterization of the closure in pseudoemetric spaces
In a pseudoemetric space, Cauchy sequences are characterized by the fact that, eventually, the pseudoedistance between its elements is arbitrarily small
A variation around the emetric characterization of Cauchy sequences
A variation of the emetric characterization of Cauchy sequences that deals with
ℝ≥0
upper bounds.
For a set s
in a pseudo emetric space, if for every ε > 0
there exists a countable
set that is ε
-dense in s
, then there exists a countable subset t ⊆ s
that is dense in s
.
If a set s
is separable in a (pseudo extended) metric space, then it admits a countable dense
subset. This is not obvious, as the countable set whose closure covers s
given by the definition
of separability does not need in general to be contained in s
.
If a set s
is separable, then the corresponding subtype is separable in a (pseudo extended)
metric space. This is not obvious, as the countable set whose closure covers s
does not need in
general to be contained in s
.
A compact set in a pseudo emetric space is separable, i.e., it is a subset of the closure of a countable set.
A sigma compact pseudo emetric space has second countable topology.
Equations
- ⋯ = ⋯
The diameter of a set in a pseudoemetric space, named EMetric.diam
Equations
- EMetric.diam s = ⨆ x ∈ s, ⨆ y ∈ s, edist x y
Instances For
If two points belong to some set, their edistance is bounded by the diameter of the set
If the distance between any two points in a set is bounded by some constant, this constant bounds the diameter.
The diameter of a subsingleton vanishes.
The diameter of the empty set vanishes
The diameter of a singleton vanishes
The diameter is monotonous with respect to inclusion
The diameter of a union is controlled by the diameter of the sets, and the edistance between two points in the sets.
We now define EMetricSpace
, extending PseudoEMetricSpace
.
- edist : α → α → ENNReal
- toUniformSpace : UniformSpace α
- uniformity_edist : uniformity α = ⨅ (ε : ENNReal), ⨅ (_ : ε > 0), Filter.principal {p : α × α | edist p.1 p.2 < ε}
Instances
Characterize the equality of points by the vanishing of their extended distance
Two points coincide if their distance is < ε
for all positive ε
A map between emetric spaces is a uniform embedding if and only if the edistance between f x
and f y
is controlled in terms of the distance between x
and y
and conversely.
If a PseudoEMetricSpace
is a T₀ space, then it is an EMetricSpace
.
Equations
- EMetricSpace.ofT0PseudoEMetricSpace α = let __src := inst✝; EMetricSpace.mk ⋯
Instances For
Auxiliary function to replace the uniformity on an emetric space with a uniformity which is equal to the original one, but maybe not defeq. This is useful if one wants to construct an emetric space with a specified uniformity. See Note [forgetful inheritance] explaining why having definitionally the right uniformity is often important.
Equations
- m.replaceUniformity H = EMetricSpace.mk ⋯
Instances For
The extended metric induced by an injective function taking values in an emetric space.
Equations
- EMetricSpace.induced f hf m = let __src := PseudoEMetricSpace.induced f EMetricSpace.toPseudoEMetricSpace; EMetricSpace.mk ⋯
Instances For
EMetric space instance on subsets of emetric spaces
Equations
- instEMetricSpaceSubtype = EMetricSpace.induced Subtype.val ⋯ inst
EMetric space instance on the additive opposite of an emetric space.
Equations
- instEMetricSpaceAddOpposite = EMetricSpace.induced AddOpposite.unop ⋯ inst
EMetric space instance on the multiplicative opposite of an emetric space.
Equations
- instEMetricSpaceMulOpposite = EMetricSpace.induced MulOpposite.unop ⋯ inst
Equations
- instEMetricSpaceULift = EMetricSpace.induced ULift.down ⋯ inst
The product of two emetric spaces, with the max distance, is an extended metric spaces. We make sure that the uniform structure thus constructed is the one corresponding to the product of uniform spaces, to avoid diamond problems.
Equations
- Prod.emetricSpaceMax = EMetricSpace.ofT0PseudoEMetricSpace (γ × β)
Reformulation of the uniform structure in terms of the extended distance
The product of a finite number of emetric spaces, with the max distance, is still an emetric space. This construction would also work for infinite products, but it would not give rise to the product topology. Hence, we only formalize it in the good situation of finitely many spaces.
Equations
- emetricSpacePi = EMetricSpace.ofT0PseudoEMetricSpace ((b : β) → π b)
A compact set in an emetric space is separable, i.e., it is the closure of a countable set.
Separation quotient #
Equations
- instEDistSeparationQuotient = { edist := SeparationQuotient.lift₂ edist ⋯ }
Equations
- instEMetricSpaceSeparationQuotient = EMetricSpace.ofT0PseudoEMetricSpace (SeparationQuotient X)
Additive
, Multiplicative
#
The distance on those type synonyms is inherited without change.
Equations
- instEDistMultiplicative = inst
Equations
- instPseudoEMetricSpaceAdditive = inst
Equations
- instPseudoEMetricSpaceMultiplicative = inst
Equations
- instEMetricSpaceAdditive = inst
Equations
- instEMetricSpaceMultiplicative = inst
Order dual #
The distance on this type synonym is inherited without change.
Equations
- instPseudoEMetricSpaceOrderDual = inst
Equations
- instEMetricSpaceOrderDual = inst