Extended norm #
In this file we define a structure ENorm š V
representing an extended norm (i.e., a norm that can
take the value ā
) on a vector space V
over a normed field š
. We do not use class
for
an ENorm
because the same space can have more than one extended norm. For example, the space of
measurable functions f : Ī± ā ā
has a family of L_p
extended norms.
We prove some basic inequalities, then define
EMetricSpace
structure onV
corresponding toe : ENorm š V
;- the subspace of vectors with finite norm, called
e.finiteSubspace
; - a
NormedSpace
structure on this space.
The last definition is an instance because the type involves e
.
Implementation notes #
We do not define extended normed groups. They can be added to the chain once someone will need them.
Tags #
normed space, extended norm
Extended norm on a vector space. As in the case of normed spaces, we require only
āc ā¢ xā ā¤ ācā * āxā
in the definition, then prove an equality in map_smul
.
- toFun : V ā ENNReal
Instances For
Equations
- ENorm.instCoeFunForallENNReal = { coe := ENorm.toFun }
Equations
- ENorm.partialOrder = PartialOrder.mk āÆ
The ENorm
sending each non-zero vector to infinity.
Equations
- ENorm.instOrderTop = OrderTop.mk āÆ
Equations
- ENorm.instSemilatticeSup = SemilatticeSup.mk (fun (eā eā : ENorm š V) => { toFun := fun (x : V) => āeā x ā āeā x, eq_zero' := āÆ, map_add_le' := āÆ, map_smul_le' := āÆ }) āÆ āÆ āÆ
Structure of an EMetricSpace
defined by an extended norm.
Equations
- e.emetricSpace = EMetricSpace.mk āÆ
Instances For
The subspace of vectors with finite enorm.
Equations
Instances For
Metric space structure on e.finiteSubspace
. We use EMetricSpace.toMetricSpace
to ensure that this definition agrees with e.emetricSpace
.
Equations
- e.metricSpace = EMetricSpace.toMetricSpace āÆ
Normed group instance on e.finiteSubspace
.
Equations
- e.normedAddCommGroup = NormedAddCommGroup.mk āÆ
Normed space instance on e.finiteSubspace
.
Equations
- e.normedSpace = NormedSpace.mk āÆ