Differentiable vector-valued functions from Euclidean space

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In the field of Functional Analysis, it is possible to generalize the notion of derivative to infinite dimensional topological vector spaces (TVSs) in multiple ways. But when the ___domain of TVS-value functions is a subset of finite-dimensional Euclidean space then the number of generalizations of the derivative is much more limited and derivatives are more well behaved. This article presents the theory of k-times continuously differentiable functions on an open subset of Euclidean space (), which is an important special case of differentiation between arbitrary TVSs. 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

Throughout, let   and let   be either:

  1. an open subset of   where   is an integer, or else
  2. a locally compact topological space, in which k can only be 0,

and let   be a topological vector space (TVS).

Suppose   and   is a function such that   with   a limit point of   Then f is differentiable at  [1] if there exist n vectors   in Y, called the partial derivatives of f, such that

  in Y

where  

If f is differentiable at a point then it is continuous at that point.[1] Say that f is   if it is continuous. If f is differentiable at every point in some set   then we say that f is differentiable in S. If f is differentiable at every point of its ___domain and if each of its partial derivatives is a continuous function then we say that f is continuously differentiable or  [1] Having defined what it means for a function f to be   (or k times continuously differentiable), say that f is k + 1 times continuously differentiable or that f is   if f is continuously differentiable and each of its partial derivatives is   Say that f is   smooth, or infinitely differentiable if f is   for all   If   is any function then its support is the closure (in  ) of the set  

Spaces of Ck vector-valued functions

Space of Ck functions

For any   let   denote the vector space of all   Y-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 < k + 1 on the compact subsets of  [1] Suppose   is a sequence of relatively compact open subsets of   whose union is   and that satisfy   for all i. Suppose that   is a basis of neighborhoods of the origin in Y. Then for any integer   the sets:

 

form a basis of neighborhoods of the origin for   as i, l, and   vary in all possible ways. If   is a countable union of compact subsets and Y is a Fréchet space, then so is   Note that   is convex whenever   is convex. If Y is metrizable (resp. complete, locally convex, Hausdorff) then so is  [1][2] If   is a basis of continuous seminorms for Y then a basis of continuous seminorms on   is:

 

as i, l, and   vary in all possible ways.[1]

If   is a compact space and Y is a Banach space, then   becomes a Banach space normed by  [2]

Space of Ck functions with support in a compact subset

We now duplicate the definition of the topology of the space of test functions. For any compact subset   let   denote the set of all f in   whose support lies in K (in particular, if   then the ___domain of f is   rather than K) and give   the subspace topology induced by  [1] Let   denote   Note that for any two compact subsets   the natural inclusion   is an embedding of TVSs and that the union of all   as K varies over the compact subsets of   is  

Space of compactly support Ck functions

For any compact subset   let   be the natural inclusion and give   the strongest topology making all   continuous. 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 natural 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 natural injections  [1] Each natural embedding   is an embedding of TVSs. A subset S 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 on   is known as the canonical LF topology.

If Y is a Hausdorff locally convex space, T is a TVS, and   is a linear map, then u is continuous if and only if for all compact   the restriction of u to   is continuous.[1] One replace "all compact  " with "all  ".

Properties

Theorem[1]Let m 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, the restriction   is an isomorphism of TVSs when   has its canonical LF topology.

Theorem[1]Let Y be a Hausdorff locally convex space. For every continuous linear form   and every   let   be defined by   Then   is a continuous linear map; and furthermore, the restriction   is also continuous (where   has the canonical LF topology).

Identification as a tensor product

Suppose henceforth that Y is a Hausdorff space. 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 Y; this bilinear map turns this subspace into a tensor product of   and Y, 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 Y.[1]

If X is locally compact then   is dense in   while if X is an open subset of   then   is dense in  [2]

TheoremIf Y is a complete Hausdorff locally convex space, then   is canonically isomorphic to the injective tensor product  [2]

See also

References

  1. ^ a b c d e f g h i j k l m n Trèves 2006, pp. 412–419.
  2. ^ a b c d Trèves 2006, pp. 446–451.

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