Differentiable vector–valued functions from Euclidean space - Wikipedia
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In the mathematical discipline of functional analysis, a differentiable vector-valued function from Euclidean space is a differentiable function valued in a topological vector space (TVS) whose domains is a subset of some finite-dimensional Euclidean space.
It is possible to generalize the notion of derivative to functions whose domain and codomain are subsets of arbitrary topological vector spaces (TVSs) in multiple ways.
But when the domain of a TVS-valued function is a subset of a finite-dimensional Euclidean space then many of these notions become logically equivalent resulting in a much more limited number of generalizations of the derivative and additionally, differentiability is also more well-behaved compared to the general case.
This article presents the theory of -times continuously differentiable functions on an open subset
of Euclidean space
(
), which is an important special case of differentiation between arbitrary TVSs.
This importance stems partially from the fact that every finite-dimensional vector subspace of a Hausdorff topological vector space is TVS isomorphic to Euclidean space
so that, for example, this special case can be applied to any function whose domain is an arbitrary Hausdorff TVS by restricting it to finite-dimensional vector subspaces.
All vector spaces will be assumed to be over the field where
is either the real numbers
or the complex numbers
Continuously differentiable vector-valued functions
[edit]
A map which may also be denoted by
between two topological spaces is said to be
-times continuously differentiable or
if it is continuous. A topological embedding may also be called a
-embedding.
Differentiable curves are an important special case of differentiable vector-valued (i.e. TVS-valued) functions which, in particular, are used in the definition of the Gateaux derivative. They are fundamental to the analysis of maps between two arbitrary topological vector spaces and so also to the analysis of TVS-valued maps from Euclidean spaces, which is the focus of this article.
A continuous map from a subset
that is valued in a topological vector space
is said to be (once or
-time) differentiable if for all
it is differentiable at
which by definition means the following limit in
exists:
where in order for this limit to even be well-defined,
must be an accumulation point of
If
is differentiable then it is said to be continuously differentiable or
if its derivative, which is the induced map
is continuous.
Using induction on
the map
is
-times continuously differentiable or
if its
derivative
is continuously differentiable, in which case the
-derivative of
is the map
It is called smooth,
or infinitely differentiable if it is
-times continuously differentiable for every integer
For
it is called
-times differentiable if it is
-times continuous differentiable and
is differentiable.
A continuous function from a non-empty and non-degenerate interval
into a topological space
is called a curve or a
curve in
A path in
is a curve in
whose domain is compact while an arc or C0-arc in
is a path in
that is also a topological embedding.
For any
a curve
valued in a topological vector space
is called a
-embedding if it is a topological embedding and a
curve such that
for every
where it is called a
-arc if it is also a path (or equivalently, also a
-arc) in addition to being a
-embedding.
Differentiability on Euclidean space
[edit]
The definition given above for curves are now extended from functions valued defined on subsets of to functions defined on open subsets of finite-dimensional Euclidean spaces.
Throughout, let be an open subset of
where
is an integer.
Suppose
and
is a function such that
with
an accumulation point of
Then
is differentiable at
[1] if there exist
vectors
in
called the partial derivatives of
at
, such that
where
If
is differentiable at a point then it is continuous at that point.[1]
If
is differentiable at every point in some subset
of its domain then
is said to be (once or
-time) differentiable in
, where if the subset
is not mentioned then this means that it is differentiable at every point in its domain.
If
is differentiable and if each of its partial derivatives is a continuous function then
is said to be (once or
-time) continuously differentiable or
[1]
For
having defined what it means for a function
to be
(or
times continuously differentiable), say that
is
times continuously differentiable or that
is
if
is continuously differentiable and each of its partial derivatives is
Say that
is
smooth,
or infinitely differentiable if
is
for all
The support of a function
is the closure (taken in its domain
) of the set
Spaces of Ck vector-valued functions
[edit]
In this section, the space of smooth test functions and its canonical LF-topology are generalized to functions valued in general complete Hausdorff locally convex topological vector spaces (TVSs). After this task is completed, it is revealed that the topological vector space that was constructed could (up to TVS-isomorphism) have instead been defined simply as the completed injective tensor product
of the usual space of smooth test functions
with
Throughout, let be a Hausdorff topological vector space (TVS), let
and let
be either:
- an open subset of
where
is an integer, or else
- a locally compact topological space, in which case
can only be
Space of Ck functions
[edit]
For any let
denote the vector space of all
-valued maps defined on
and let
denote the vector subspace of
consisting of all maps in
that have compact support.
Let
denote
and
denote
Give
the topology of uniform convergence of the functions together with their derivatives of order
on the compact subsets of
[1]
Suppose
is a sequence of relatively compact open subsets of
whose union is
and that satisfy
for all
Suppose that
is a basis of neighborhoods of the origin in
Then for any integer
the sets:
form a basis of neighborhoods of the origin for
as
and
vary in all possible ways.
If
is a countable union of compact subsets and
is a Fréchet space, then so is
Note that
is convex whenever
is convex.
If
is metrizable (resp. complete, locally convex, Hausdorff) then so is
[1][2]
If
is a basis of continuous seminorms for
then a basis of continuous seminorms on
is:
as
and
vary in all possible ways.[1]
Space of Ck functions with support in a compact subset
[edit]
The definition of the topology of the space of test functions is now duplicated and generalized.
For any compact subset denote the set of all
in
whose support lies in
(in particular, if
then the domain of
is
rather than
) and give it the subspace topology induced by
[1]
If
is a compact space and
is a Banach space, then
becomes a Banach space normed by
[2]
Let
denote
For any two compact subsets
the inclusion
is an embedding of TVSs and that the union of all
as
varies over the compact subsets of
is
Space of compactly support Ck functions
[edit]
For any compact subset let
denote the inclusion map and endow
with the strongest topology making all
continuous, which is known as the final topology induced by these map.
The spaces
and maps
form a direct system (directed by the compact subsets of
) whose limit in the category of TVSs is
together with the injections
[1]
The spaces
and maps
also form a direct system (directed by the total order
) whose limit in the category of TVSs is
together with the injections
[1]
Each embedding
is an embedding of TVSs.
A subset
of
is a neighborhood of the origin in
if and only if
is a neighborhood of the origin in
for every compact
This direct limit topology (i.e. the final topology) on
is known as the canonical LF topology.
If is a Hausdorff locally convex space,
is a TVS, and
is a linear map, then
is continuous if and only if for all compact
the restriction of
to
is continuous.[1] The statement remains true if "all compact
" is replaced with "all
".
Theorem[1]—Let be a positive integer and let
be an open subset of
Given
for any
let
be defined by
and let
be defined by
Then
is a surjective isomorphism of TVSs.
Furthermore, its restriction
is an isomorphism of TVSs (where
has its canonical LF topology).
Theorem[1]—Let be a Hausdorff locally convex topological vector space and for every continuous linear form
and every
let
be defined by
Then
is a continuous linear map;
and furthermore, its restriction
is also continuous (where
has the canonical LF topology).
Identification as a tensor product
[edit]
Suppose henceforth that is Hausdorff.
Given a function
and a vector
let
denote the map
defined by
This defines a bilinear map
into the space of functions whose image is contained in a finite-dimensional vector subspace of
this bilinear map turns this subspace into a tensor product of
and
which we will denote by
[1]
Furthermore, if
denotes the vector subspace of
consisting of all functions with compact support, then
is a tensor product of
and
[1]
If is locally compact then
is dense in
while if
is an open subset of
then
is dense in
[2]
Theorem—If is a complete Hausdorff locally convex space, then
is canonically isomorphic to the injective tensor product
[2]
- Convenient vector space – locally convex vector spaces satisfying a very mild completeness condition
- Crinkled arc
- Differentiation in Fréchet spaces
- Fréchet derivative – Derivative defined on normed spaces
- Gateaux derivative – Generalization of the concept of directional derivative
- Infinite-dimensional vector function – function whose values lie in an infinite-dimensional vector space
- Injective tensor product
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