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 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 more well behaved. This article presents the theory k-times continuously differentiable functions on an open subset of Euclidean space (). 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).

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

Note that 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  . We 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]

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

See also

References

  1. ^ a b c d e f g h i j k l m n Treves 2006, pp. 412–419.
  2. ^ a b c d Treves 2006, pp. 446–451.
  • Diestel, Joe (2008). The metric theory of tensor products : Grothendieck's résumé revisited. Providence, R.I: American Mathematical Society. ISBN 0-8218-4440-7. OCLC 185095773. {{cite book}}: Invalid |ref=harv (help)
  • Dubinsky, Ed (1979). The structure of nuclear Fréchet spaces. Berlin New York: Springer-Verlag. ISBN 3-540-09504-7. OCLC 5126156. {{cite book}}: Invalid |ref=harv (help)
  • Grothendieck, Grothendieck (1966). Produits tensoriels topologiques et espaces nucléaires (in French). Providence: American Mathematical Society. ISBN 0-8218-1216-5. OCLC 1315788. {{cite book}}: Invalid |ref=harv (help)
  • Husain, Taqdir (1978). Barrelledness in topological and ordered vector spaces. Berlin New York: Springer-Verlag. ISBN 3-540-09096-7. OCLC 4493665. {{cite book}}: Invalid |ref=harv (help)
  • Khaleelulla, S. M. (1982). Counterexamples in topological vector spaces. Berlin New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370. {{cite book}}: Invalid |ref=harv (help)
  • Nlend, H (1977). Bornologies and functional analysis : introductory course on the theory of duality topology-bornology and its use in functional analysis. Amsterdam New York New York: North-Holland Pub. Co. Sole distributors for the U.S.A. and Canada, Elsevier-North Holland. ISBN 0-7204-0712-5. OCLC 2798822. {{cite book}}: Invalid |ref=harv (help)
  • Nlend, H (1981). Nuclear and conuclear spaces : introductory courses on nuclear and conuclear spaces in the light of the duality. Amsterdam New York New York, N.Y: North-Holland Pub. Co. Sole distributors for the U.S.A. and Canada, Elsevier North-Holland. ISBN 0-444-86207-2. OCLC 7553061. {{cite book}}: Invalid |ref=harv (help)
  • Pietsch, Albrecht (1972). Nuclear locally convex spaces. Berlin,New York: Springer-Verlag. ISBN 0-387-05644-0. OCLC 539541. {{cite book}}: Invalid |ref=harv (help)
  • Robertson, A. P. (1973). Topological vector spaces. Cambridge England: University Press. ISBN 0-521-29882-2. OCLC 589250. {{cite book}}: Invalid |ref=harv (help)
  • Ryan, Raymond (2002). Introduction to tensor products of Banach spaces. London New York: Springer. ISBN 1-85233-437-1. OCLC 48092184. {{cite book}}: Invalid |ref=harv (help)
  • Schaefer, Helmut H. (1999). Topological Vector Spaces. GTM. Vol. 3. New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135. {{cite book}}: Invalid |ref=harv (help)
  • Treves, François (2006). Topological vector spaces, distributions and kernels. Mineola, N.Y: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322. {{cite book}}: Invalid |ref=harv (help)
  • Wong (1979). Schwartz spaces, nuclear spaces, and tensor products. Berlin New York: Springer-Verlag. ISBN 3-540-09513-6. OCLC 5126158. {{cite book}}: Invalid |ref=harv (help)