Extended norm #
In this file we define a structure ENormedSpace 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 ENormedSpace because the same space can have more than one extended norm.
For example, the space of measurable functions f : α ā ā has a family of L_p extended norms.
We prove some basic inequalities, then define
EMetricSpacestructure onVcorresponding toe : ENormedSpace š V;- the subspace of vectors with finite norm, called
e.finiteSubspace; - a
NormedSpacestructure 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 ⢠xā ⤠ācā * āxā in the definition, then prove an equality in map_smul.
- toFun : V ā ENNReal
the norm of an ENormedSpace, taking values into
āā„0ā
Instances For
Equations
- ENormedSpace.instCoeFunForallENNReal = { coe := ENormedSpace.toFun }
Equations
- ENormedSpace.partialOrder = PartialOrder.mk āÆ
The ENormedSpace sending each non-zero vector to infinity.
Equations
- ENormedSpace.instOrderTop = OrderTop.mk āÆ
Equations
- One or more equations did not get rendered due to their size.
Structure of an EMetricSpace defined by an extended norm.
Equations
- e.emetricSpace = EMetricSpace.mk āÆ
Instances For
The subspace of vectors with finite ENormedSpace.
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