Convenient vector space

In mathematics, convenient vector spaces are locally convex vector spaces satisfying a very mild completeness condition.

Traditional differential calculus is effective in the analysis of finite-dimensional vector spaces and for Banach spaces. Beyond Banach spaces, difficulties begin to arise; in particular, composition of continuous linear mappings stop being jointly continuous at the level of Banach spaces, for any compatible topology on the spaces of continuous linear mappings.

Mappings between convenient vector spaces are smooth or ${\displaystyle C^{\infty }}$ if they map smooth curves to smooth curves. This leads to a Cartesian closed category of smooth mappings between ${\displaystyle c^{\infty }}$-open subsets of convenient vector spaces (see property 6 below). The corresponding calculus of smooth mappings is called convenient calculus. It is weaker than any other reasonable notion of differentiability, it is easy to apply, but there are smooth mappings which are not continuous (see Note 1). This type of calculus alone is not useful in solving equations.

The c^∞-topology

Let ${\displaystyle E}$ be a locally convex vector space. A curve ${\displaystyle c:\mathbb {R} \to E}$ is called smooth or ${\displaystyle C^{\infty }}$ if all derivatives exist and are continuous. Let ${\displaystyle C^{\infty }(\mathbb {R} ,E)}$ be the space of smooth curves. It can be shown that the set of smooth curves does not depend entirely on the locally convex topology of ${\displaystyle E,}$ only on its associated bornology (system of bounded sets); see [KM], 2.11. The final topologies with respect to the following sets of mappings into ${\displaystyle E}$ coincide; see [KM], 2.13.

• ${\displaystyle C^{\infty }(\mathbb {R} ,E).}$
• The set of all Lipschitz curves (so that ${\displaystyle \left\{{\dfrac {c(t)-c(s)}{t-s}}:t\neq s{,}|t|,|s|\leq C\right\}}$ is bounded in ${\displaystyle E,}$ for each ${\displaystyle C}$).
• The set of injections ${\displaystyle E_{B}\to E}$ where ${\displaystyle B}$ runs through all bounded absolutely convex subsets in ${\displaystyle E,}$ and where ${\displaystyle E_{B}}$ is the linear span of ${\displaystyle B}$ equipped with the Minkowski functional ${\displaystyle \|x\|_{B}:=\inf\{\lambda >0:x\in \lambda B\}.}$
• The set of all Mackey convergent sequences ${\displaystyle x_{n}\to x}$ (there exists a sequence ${\displaystyle 0<\lambda _{n}\to \infty }$ with ${\displaystyle \lambda _{n}\left(x_{n}-x\right)}$ bounded).

This topology is called the ${\displaystyle c^{\infty }}$-topology on ${\displaystyle E}$ and we write ${\displaystyle c^{\infty }E}$ for the resulting topological space. In general (on the space ${\displaystyle D}$ of smooth functions with compact support on the real line, for example) it is finer than the given locally convex topology, it is not a vector space topology, since addition is no longer jointly continuous. Namely, even ${\displaystyle c^{\infty }(D\times D)\neq \left(c^{\infty }D\right)\times \left(c^{\infty }D\right).}$ The finest among all locally convex topologies on ${\displaystyle E}$ which are coarser than ${\displaystyle c^{\infty }E}$ is the bornologification of the given locally convex topology. If ${\displaystyle E}$ is a Fréchet space, then ${\displaystyle c^{\infty }E=E.}$

Convenient vector spaces

A locally convex vector space ${\displaystyle E}$ is said to be a convenient vector space if one of the following equivalent conditions holds (called ${\displaystyle c^{\infty }}$-completeness); see [KM], 2.14.

• For any ${\displaystyle c\in C^{\infty }(\mathbb {R} ,E)}$ the (Riemann-) integral ${\displaystyle \int _{0}^{1}c(t)\,dt}$ exists in ${\displaystyle E}$.
• Any Lipschitz curve in ${\displaystyle E}$ is locally Riemann integrable.
• Any scalar wise ${\displaystyle C^{\infty }}$ curve is ${\displaystyle C^{\infty }}$: A curve ${\displaystyle c:\mathbb {R} \to E}$ is smooth if and only if the composition ${\displaystyle \lambda \circ c:t\mapsto \lambda (c(t))}$ is in ${\displaystyle C^{\infty }(\mathbb {R} ,\mathbb {R} )}$ for all ${\displaystyle \lambda \in E^{*}}$ where ${\displaystyle E^{*}}$ is the dual of all continuous linear functionals on ${\displaystyle E}$.
  • Equivalently, for all ${\displaystyle \lambda \in E'}$, the dual of all bounded linear functionals.
  • Equivalently, for all ${\displaystyle \lambda \in V}$, where ${\displaystyle V}$ is a subset of ${\displaystyle E'}$ which recognizes bounded subsets in ${\displaystyle E}$; see [KM], 5.22.
• Any Mackey-Cauchy-sequence (i.e., ${\displaystyle x_{n}}$ such that ${\displaystyle t_{nm}(x_{n}-x_{m})\to 0}$ for some ${\displaystyle t_{nm}\to \infty }$ in ${\displaystyle \mathbb {R} }$) converges in ${\displaystyle E}$. This is visibly a mild completeness requirement.
• If ${\displaystyle B}$ is bounded closed absolutely convex, then ${\displaystyle E_{B}}$ is a Banach space.
• If ${\displaystyle f:\mathbb {R} \to E}$ is scalar wise ${\displaystyle {\text{Lip}}^{k}}$, then ${\displaystyle f}$ is ${\displaystyle {\text{Lip}}^{k}}$, for ${\displaystyle k>1}$.
• If ${\displaystyle f:\mathbb {R} \to E}$ is scalar wise ${\displaystyle C^{\infty }}$ then ${\displaystyle f}$ is differentiable at ${\displaystyle 0}$.

Here a mapping ${\displaystyle f:\mathbb {R} \to E}$ is called ${\displaystyle {\text{Lip}}^{k}}$ if all derivatives up to order ${\displaystyle k}$ exist and are Lipschitz, locally on ${\displaystyle \mathbb {R} }$.

Smooth mappings

Let ${\displaystyle E}$ and ${\displaystyle F}$ be convenient vector spaces, and let ${\displaystyle U\subseteq E}$ be ${\displaystyle c^{\infty }}$-open. A mapping ${\displaystyle f:U\to F}$ is called smooth or ${\displaystyle C^{\infty }}$, if the composition ${\displaystyle f\circ c\in C^{\infty }(\mathbb {R} ,F)}$ for all ${\displaystyle c\in C^{\infty }(\mathbb {R} ,U)}$. See [KM], 3.11.

Main properties of smooth calculus

1. For maps on Fréchet spaces this notion of smoothness coincides with all other reasonable definitions. On ${\displaystyle \mathbb {R} ^{2}}$ this is a non-trivial theorem, proved by Boman, 1967. See also [KM], 3.4.

2. Multilinear mappings are smooth if and only if they are bounded ([KM], 5.5).

3. If ${\displaystyle f:E\supseteq U\to F}$ is smooth then the derivative ${\displaystyle df:U\times E\to F}$ is smooth, and also ${\displaystyle df:U\to L(E,F)}$ is smooth where ${\displaystyle L(E,F)}$ denotes the space of all bounded linear mappings with the topology of uniform convergence on bounded subsets; see [KM], 3.18.

4. The chain rule holds ([KM], 3.18).

5. The space ${\displaystyle C^{\infty }(U,F)}$ of all smooth mappings ${\displaystyle U\to F}$ is again a convenient vector space where the structure is given by the following injection, where ${\displaystyle C^{\infty }(\mathbb {R} ,\mathbb {R} )}$ carries the topology of compact convergence in each derivative separately; see [KM], 3.11 and 3.7.

${\displaystyle C^{\infty }(U,F)\to \prod _{c\in C^{\infty }(\mathbb {R} ,U),\ell \in F^{*}}C^{\infty }(\mathbb {R} ,\mathbb {R} ),\quad f\mapsto (\ell \circ f\circ c)_{c,\ell }\,.}$

6. The exponential law holds ([KM], 3.12): For ${\displaystyle c^{\infty }}$-open ${\displaystyle V\subseteq F}$ the following mapping is a linear diffeomorphism of convenient vector spaces.

${\displaystyle C^{\infty }(U,C^{\infty }(V,G))\cong C^{\infty }(U\times V,G),\qquad f\mapsto g,\qquad f(u)(v)=g(u,v).}$

This is the main assumption of variational calculus. Here it is a theorem. This property is the source of the name convenient, which was borrowed from (Steenrod 1967).

7. Smooth uniform boundedness theorem ([KM], theorem 5.26). A linear mapping ${\displaystyle f:E\to C^{\infty }(V,G)}$ is smooth (by (2) equivalent to bounded) if and only if ${\displaystyle \operatorname {ev} _{v}\circ f:V\to G}$ is smooth for each ${\displaystyle v\in V}$.

8. The following canonical mappings are smooth. This follows from the exponential law by simple categorical reasonings, see [KM], 3.13.

${\displaystyle {\begin{aligned}&\operatorname {ev} :C^{\infty }(E,F)\times E\to F,\quad {\text{ev}}(f,x)=f(x)\\[6pt]&\operatorname {ins} :E\to C^{\infty }(F,E\times F),\quad {\text{ins}}(x)(y)=(x,y)\\[6pt]&(\quad )^{\wedge }:C^{\infty }(E,C^{\infty }(F,G))\to C^{\infty }(E\times F,G)\\[6pt]&(\quad )^{\vee }:C^{\infty }(E\times F,G)\to C^{\infty }(E,C^{\infty }(F,G))\\[6pt]&\operatorname {comp} :C^{\infty }(F,G)\times C^{\infty }(E,F)\to C^{\infty }(E,G)\\[6pt]&C^{\infty }(\quad ,\quad ):C^{\infty }(F,F_{1})\times C^{\infty }(E_{1},E)\to C^{\infty }(C^{\infty }(E,F),C^{\infty }(E_{1},F_{1})),\quad (f,g)\mapsto (h\mapsto f\circ h\circ g)\\[6pt]&\prod$ :\prod C^{\infty }(E_{i},F_{i})\to C^{\infty }\left(\prod E_{i},\prod F_{i}\right)\end{aligned}}}

Related convenient calculi

Convenient calculus of smooth mappings appeared for the first time in [Frölicher, 1981], [Kriegl 1982, 1983]. Convenient calculus (having properties 6 and 7) exists also for:

• Real analytic mappings (Kriegl, Michor, 1990; see also [KM], chapter II).
• Holomorphic mappings (Kriegl, Nel, 1985; see also [KM], chapter II). The notion of holomorphy is that of [Fantappié, 1930-33].
• Many classes of Denjoy Carleman ultradifferentiable functions, both of Beurling type and of Roumieu-type [Kriegl, Michor, Rainer, 2009, 2011, 2015].
• With some adaptations, ${\displaystyle \operatorname {Lip} ^{k}}$, [FK].
• With more adaptations, even ${\displaystyle C^{k,\alpha }}$ (i.e., the ${\displaystyle k}$-th derivative is Hölder-continuous with index ${\displaystyle \alpha }$) ([Faure, 1989], [Faure, These Geneve, 1991]).

The corresponding notion of convenient vector space is the same (for their underlying real vector space in the complex case) for all these theories.

Application: Manifolds of mappings between finite dimensional manifolds

The exponential law 6 of convenient calculus allows for very simple proofs of the basic facts about manifolds of mappings. Let ${\displaystyle M}$ and ${\displaystyle N}$ be finite dimensional smooth manifolds where ${\displaystyle M}$ is compact. We use an auxiliary Riemann metric ${\displaystyle {\bar {g}}}$ on ${\displaystyle N}$. The Riemannian exponential mapping of ${\displaystyle {\bar {g}}}$ is described in the following diagram:

It induces an atlas of charts on the space ${\displaystyle C^{\infty }(M,N)}$ of all smooth mappings ${\displaystyle M\to N}$ as follows. A chart centered at ${\displaystyle f\in C^{\infty }(M,N)}$, is:

${\displaystyle u_{f}:C^{\infty }(M,N)\supset U_{f}=\{g:(f,g)(M)\subset V^{N\times N}\}\to {\tilde {U}}_{f}\subset \Gamma (f^{*}TN),}$

${\displaystyle u_{f}(g)=(\pi _{N},\exp ^{\bar {g}})^{-1}\circ (f,g),\quad u_{f}(g)(x)=(\exp _{f(x)}^{\bar {g}})^{-1}(g(x)),}$

${\displaystyle (u_{f})^{-1}(s)=\exp _{f}^{\bar {g}}\circ s,\qquad \quad (u_{f})^{-1}(s)(x)=\exp _{f(x)}^{\bar {g}}(s(x)).}$

Now the basics facts follow in easily. Trivializing the pull back vector bundle ${\displaystyle f^{*}TN}$ and applying the exponential law 6 leads to the diffeomorphism

${\displaystyle C^{\infty }(\mathbb {R} ,\Gamma (M;f^{*}TN))=\Gamma (\mathbb {R} \times M;\operatorname {pr_{2}} ^{*}f^{*}TN).}$

All chart change mappings are smooth (${\displaystyle C^{\infty }}$) since they map smooth curves to smooth curves:

${\displaystyle {\tilde {U}}_{f_{1}}\ni s\mapsto (\pi _{N},\exp ^{\bar {g}})\circ s\mapsto (\pi _{N},\exp ^{\bar {g}})\circ (f_{2},\exp _{f_{1}}^{\bar {g}}\circ s).}$

Thus ${\displaystyle C^{\infty }(M,N)}$ is a smooth manifold modeled on Fréchet spaces. The space of all smooth curves in this manifold is given by

${\displaystyle C^{\infty }(\mathbb {R} ,C^{\infty }(M,N))\cong C^{\infty }(\mathbb {R} \times M,N).}$

Since it visibly maps smooth curves to smooth curves, composition

${\displaystyle C^{\infty }(P,M)\times C^{\infty }(M,N)\to C^{\infty }(P,N),\qquad (f,g)\mapsto g\circ f,}$

is smooth. As a consequence of the chart structure, the tangent bundle of the manifold of mappings is given by

${\displaystyle \pi _{C^{\infty }(M,N)}=C^{\infty }(M,\pi _{N}):TC^{\infty }(M,N)=C^{\infty }(M,TN)\to C^{\infty }(M,N).}$

Notes

References

• Bauer, M., Bruveris, M., Michor, P.W.: Overview of the Geometries of Shape Spaces and Diffeomorphism Groups. Journal of Mathematical Imaging and Vision, 50, 1-2, 60-97, 2014. (arXiv:1305.11500)
• Boman, J.: Differentiability of a function and of its composition with a function of one variable, Mathematica Scandinavia vol. 20 (1967), 249–268.
• Faure, C.-A.: Sur un théorème de Boman, C. R. Acad. Sci., Paris}, vol. 309 (1989), 1003–1006.
• Faure, C.-A.: Théorie de la différentiation dans les espaces convenables, These, Université de Genève, 1991.
• Frölicher, A.: Applications lisses entre espaces et variétés de Fréchet, C. R. Acad. Sci. Paris, vol. 293 (1981), 125–127.
• [FK] Frölicher, A., Kriegl, A.: Linear spaces and differentiation theory. Pure and Applied Mathematics, J. Wiley, Chichester, 1988.
• Kriegl, A.: Die richtigen Räume für Analysis im Unendlich – Dimensionalen, Monatshefte für Mathematik vol. 94 (1982) 109–124.
• Kriegl, A.: Eine kartesisch abgeschlossene Kategorie glatter Abbildungen zwischen beliebigen lokalkonvexen Vektorräumen, Monatshefte für Mathematik vol. 95 (1983) 287–309.
• [KM] Kriegl, A., Michor, P.W.: The Convenient Setting of Global Analysis. Mathematical Surveys and Monographs, Volume: 53, American Mathematical Society, Providence, 1997. (pdf)
• Kriegl, A., Michor, P. W., Rainer, A.: The convenient setting for non-quasianalytic Denjoy–Carleman differentiable mappings, Journal of Functional Analysis, vol. 256 (2009), 3510–3544. (arXiv:0804.2995)
• Kriegl, A., Michor, P. W., Rainer, A.: The convenient setting for quasianalytic Denjoy–Carleman differentiable mappings, Journal of Functional Analysis, vol. 261 (2011), 1799–1834. (arXiv:0909.5632)
• Kriegl, A., Michor, P. W., Rainer, A.: The convenient setting for Denjoy-Carleman differentiable mappings of Beurling and Roumieu type. Revista Matemática Complutense (2015). doi:10.1007/s13163-014-0167-1. (arXiv:1111.1819)
• Michor, P.W.: Manifolds of mappings and shapes. (arXiv:1505.02359)
• Steenrod, N. E.: A convenient category for topological spaces, Michigan Mathematical Journal, vol. 14 (1967), 133–152.