Differentiable vector-valued functions from Euclidean space

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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 k-times continuously differentiable functions on an open subset Ω of Euclidean space n (1n<), 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 n 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 𝔽, where 𝔽 is either the real numbers or the complex numbers .

Continuously differentiable vector-valued functions

A map f, which may also be denoted by f(0), between two topological spaces is said to be 0-times continuously differentiable or C0 if it is continuous. A topological embedding may also be called a C0-embedding.

Curves

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 XY and so also to the analysis of TVS-valued maps from Euclidean spaces, which is the focus of this article.

A continuous map f:IX from a subset I that is valued in a topological vector space X is said to be (once or 1-time) differentiable if for all tI, it is differentiable at t, which by definition means the following limit in X exists: f(t):=f(1)(t):=limtrIrtf(r)f(t)rt=limtt+hIh0f(t+h)f(t)h where in order for this limit to even be well-defined, t must be an accumulation point of I. If f:IX is differentiable then it is said to be continuously differentiable or C1 if its derivative, which is the induced map f=f(1):IX, is continuous. Using induction on 1<k, the map f:IX is k-times continuously differentiable or Ck if its k1th derivative f(k1):IX is continuously differentiable, in which case the kth-derivative of f is the map f(k):=(f(k1)):IX. It is called smooth, C, or infinitely differentiable if it is k-times continuously differentiable for every integer k. For k, it is called k-times differentiable if it is k1-times continuous differentiable and f(k1):IX is differentiable.

A continuous function f:IX from a non-empty and non-degenerate interval I into a topological space X is called a curve or a C0 curve in X. A path in X is a curve in X whose domain is compact while an arc or C0-arc in X is a path in X that is also a topological embedding. For any k{1,2,,}, a curve f:IX valued in a topological vector space X is called a Ck-embedding if it is a topological embedding and a Ck curve such that f(t)0 for every tI, where it is called a Ck-arc if it is also a path (or equivalently, also a C0-arc) in addition to being a Ck-embedding.

Differentiability on Euclidean space

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 Ω be an open subset of n, where n1 is an integer. Suppose t=(t1,,tn)Ω and f:domainfY is a function such that tdomainf with t an accumulation point of domainf. Then f is differentiable at t[1] if there exist n vectors e1,,en in Y, called the partial derivatives of f at t, such that limtpdomainfptf(p)f(t)i=1n(piti)eipt2=0 in Y where p=(p1,,pn). If f is differentiable at a point then it is continuous at that point.[1] If f is differentiable at every point in some subset S of its domain then f is said to be (once or 1-time) differentiable in S, where if the subset S is not mentioned then this means that it is differentiable at every point in its domain. If f is differentiable and if each of its partial derivatives is a continuous function then f is said to be (once or 1-time) continuously differentiable or C1.[1] For k, having defined what it means for a function f to be Ck (or k times continuously differentiable), say that f is k+1 times continuously differentiable or that f is Ck+1 if f is continuously differentiable and each of its partial derivatives is Ck. Say that f is C, smooth, C, or infinitely differentiable if f is Ck for all k=0,1,. The support of a function f is the closure (taken in its domain domainf) of the set {xdomainf:f(x)0}.

Spaces of Ck vector-valued functions

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 Ck(Ω;Y) that was constructed could (up to TVS-isomorphism) have instead been defined simply as the completed injective tensor product Ck(Ω)^ϵY of the usual space of smooth test functions Ck(Ω) with Y.

Throughout, let Y be a Hausdorff topological vector space (TVS), let k{0,1,,}, and let Ω be either:

  1. an open subset of n, where n1 is an integer, or else
  2. a locally compact topological space, in which case k can only be 0.

Space of Ck functions

For any k=0,1,,, let Ck(Ω;Y) denote the vector space of all Ck Y-valued maps defined on Ω and let Cck(Ω;Y) denote the vector subspace of Ck(Ω;Y) consisting of all maps in Ck(Ω;Y) that have compact support. Let Ck(Ω) denote Ck(Ω;𝔽) and Cck(Ω) denote Cck(Ω;𝔽). Give Cck(Ω;Y) the topology of uniform convergence of the functions together with their derivatives of order <k+1 on the compact subsets of Ω.[1] Suppose Ω1Ω2 is a sequence of relatively compact open subsets of Ω whose union is Ω and that satisfy ΩiΩi+1 for all i. Suppose that (Vα)αA is a basis of neighborhoods of the origin in Y. Then for any integer <k+1, the sets: 𝒰i,,α:={fCk(Ω;Y):(/p)qf(p)Uα for all pΩi and all qn,|q|} form a basis of neighborhoods of the origin for Ck(Ω;Y) as i, , and αA vary in all possible ways. If Ω is a countable union of compact subsets and Y is a Fréchet space, then so is C(Ω;Y). Note that 𝒰i,l,α is convex whenever Uα is convex. If Y is metrizable (resp. complete, locally convex, Hausdorff) then so is Ck(Ω;Y).[1][2] If (pα)αA is a basis of continuous seminorms for Y then a basis of continuous seminorms on Ck(Ω;Y) is: μi,l,α(f):=supyΩi(|q|lpα((/p)qf(p))) as i, , and αA vary in all possible ways.[1]

Space of Ck functions with support in a compact subset

The definition of the topology of the space of test functions is now duplicated and generalized. For any compact subset KΩ, denote the set of all f in Ck(Ω;Y) whose support lies in K (in particular, if fCk(K;Y) then the domain of f is Ω rather than K) and give it the subspace topology induced by Ck(Ω;Y).[1] If K is a compact space and Y is a Banach space, then C0(K;Y) becomes a Banach space normed by f:=supωΩf(ω).[2] Let Ck(K) denote Ck(K;𝔽). For any two compact subsets KLΩ, the inclusion InKL:Ck(K;Y)Ck(L;Y) is an embedding of TVSs and that the union of all Ck(K;Y), as K varies over the compact subsets of Ω, is Cck(Ω;Y).

Space of compactly support Ck functions

For any compact subset KΩ, let InK:Ck(K;Y)Cck(Ω;Y) denote the inclusion map and endow Cck(Ω;Y) with the strongest topology making all InK continuous, which is known as the final topology induced by these map. The spaces Ck(K;Y) and maps InK1K2 form a direct system (directed by the compact subsets of Ω) whose limit in the category of TVSs is Cck(Ω;Y) together with the injections InK.[1] The spaces Ck(Ωi;Y) and maps InΩiΩj also form a direct system (directed by the total order ) whose limit in the category of TVSs is Cck(Ω;Y) together with the injections InΩi.[1] Each embedding InK is an embedding of TVSs. A subset S of Cck(Ω;Y) is a neighborhood of the origin in Cck(Ω;Y) if and only if SCk(K;Y) is a neighborhood of the origin in Ck(K;Y) for every compact KΩ. This direct limit topology (i.e. the final topology) on Cc(Ω) is known as the canonical LF topology.

If Y is a Hausdorff locally convex space, T is a TVS, and u:Cck(Ω;Y)T is a linear map, then u is continuous if and only if for all compact KΩ, the restriction of u to Ck(K;Y) is continuous.[1] The statement remains true if "all compact KΩ" is replaced with "all K:=Ωi".

Properties

Theorem[1] — Let m be a positive integer and let Δ be an open subset of m. Given ϕCk(Ω×Δ), for any yΔ let ϕy:Ω𝔽 be defined by ϕy(x)=ϕ(x,y) and let Ik(ϕ):ΔCk(Ω) be defined by Ik(ϕ)(y):=ϕy. Then I:C(Ω×Δ)C(Δ;C(Ω)) is a surjective isomorphism of TVSs. Furthermore, its restriction I|Cc(Ω×Δ):Cc(Ω×Δ)Cc(Δ;Cc(Ω)) is an isomorphism of TVSs (where Cc(Ω×Δ) has its canonical LF topology).

Theorem[3] — Let Y be a Hausdorff locally convex topological vector space and for every continuous linear form yY and every fC(Ω;Y), let Jy(f):Ω𝔽 be defined by Jy(f)(p)=y(f(p)). Then Jy:C(Ω;Y)C(Ω) is a continuous linear map; and furthermore, its restriction Jy|Cc(Ω;Y):Cc(Ω;Y)C(Ω) is also continuous (where Cc(Ω;Y) has the canonical LF topology).

Identification as a tensor product

Suppose henceforth that Y is Hausdorff. Given a function fCk(Ω) and a vector yY, let fy denote the map fy:ΩY defined by (fy)(p)=f(p)y. This defines a bilinear map :Ck(Ω)×YCk(Ω;Y) 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 Ck(Ω) and Y, which we will denote by Ck(Ω)Y.[1] Furthermore, if Cck(Ω)Y denotes the vector subspace of Ck(Ω)Y consisting of all functions with compact support, then Cck(Ω)Y is a tensor product of Cck(Ω) and Y.[1]

If X is locally compact then Cc0(Ω)Y is dense in C0(Ω;X) while if X is an open subset of n then Cc(Ω)Y is dense in Ck(Ω;X).[2]

Theorem — If Y is a complete Hausdorff locally convex space, then Ck(Ω;Y) is canonically isomorphic to the injective tensor product Ck(Ω)^ϵY.[4]

See also

Notes

Citations

  1. 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 1.10 1.11 1.12 Trèves 2006, pp. 412–419.
  2. 2.0 2.1 2.2 Trèves 2006, pp. 446–451.
  3. Trèves 2006, pp. 412-419.
  4. Trèves 2006, pp. 446-451.

References