Convenient vector space
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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 space In mathematics and physics, a vector space (also called a linear space) is a set whose elements, often called '' vectors'', may be added together and multiplied ("scaled") by numbers called ''scalars''. Scalars are often real numbers, but can ...
s 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 C^\infty if they map smooth curves to smooth curves. This leads to a
Cartesian closed category In category theory, a category is Cartesian closed if, roughly speaking, any morphism defined on a product of two objects can be naturally identified with a morphism defined on one of the factors. These categories are particularly important in math ...
of smooth mappings between 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^\infty-topology

Let E be a locally convex vector space. A curve c : \R \to E is called ''smooth'' or C^\infty if all derivatives exist and are continuous. Let C^\infty(\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 E, only on its associated
bornology In mathematics, especially functional analysis, a bornology on a set ''X'' is a collection of subsets of ''X'' satisfying axioms that generalize the notion of boundedness. One of the key motivations behind bornologies and bornological analysis is ...
(system of bounded sets); see M 2.11. The final topologies with respect to the following sets of mappings into E coincide; see M 2.13. * C^\infty(\R, E). * The set of all Lipschitz curves (so that \left\ is bounded in E, for each C). * The set of injections E_B \to E where B runs through all bounded
absolutely convex In mathematics, a subset ''C'' of a real or complex vector space is said to be absolutely convex or disked if it is convex and balanced (some people use the term "circled" instead of "balanced"), in which case it is called a disk. The disked hull ...
subsets in E, and where E_B is the linear span of B equipped with the Minkowski functional \, x\, _B := \inf\. * The set of all Mackey convergent sequences x_n \to x (there exists a sequence 0 < \lambda_n \to \infty with \lambda_n\left(x_n - x\right) bounded). This topology is called the c^\infty-''topology'' on E and we write c^\infty E for the resulting topological space. In general (on the space 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 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 E which are coarser than c^\infty E is the bornologification of the given locally convex topology. If E is a Fréchet space, then c^\infty E = E.


Convenient vector spaces

A locally convex vector space E is said to be a ''convenient vector space'' if one of the following equivalent conditions holds (called c^\infty-completeness); see M 2.14. * For any c \in C^\infty(\mathbb, E) the (Riemann-) integral \int_0^1 c(t)\,dt exists in E. * Any Lipschitz curve in E is locally Riemann integrable. * Any ''scalar wise'' C^\infty curve is C^\infty: A curve c : \mathbb \to E is smooth if and only if the composition \lambda \circ c : t \mapsto \lambda(c(t)) is in C^\infty(\mathbb, \mathbb) for all \lambda \in E^* where E^* is the dual of all continuous linear functionals on E. ** Equivalently, for all \lambda \in E', the dual of all bounded linear functionals. ** Equivalently, for all \lambda \in V, where V is a subset of E' which recognizes bounded subsets in E; see M 5.22. * Any Mackey-Cauchy-sequence (i.e., t_ (x - x_m) \to 0 for some t_ \to \infty in \mathbb converges in E. This is visibly a mild completeness requirement. * If B is bounded closed absolutely convex, then E_B is a Banach space. * If f : \mathbb \to E is scalar wise \text^k, then f is \text^k, for k > 1. * If f : \mathbb \to E is scalar wise C^\infty then f is differentiable at 0. Here a mapping f : \mathbb \to E is called \text^k if all derivatives up to order k exist and are Lipschitz, locally on \mathbb.


Smooth mappings

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


Main properties of smooth calculus

1. For maps on Fréchet spaces this notion of smoothness coincides with all other reasonable definitions. On \mathbb^2 this is a non-trivial theorem, proved by Boman, 1967. See also M 3.4. 2. Multilinear mappings are smooth if and only if they are bounded ( M 5.5). 3. If f : E \supseteq U \to F is smooth then the derivative df : U \times E \to F is smooth, and also df : U \to L(E, F) is smooth where L(E, F) denotes the space of all bounded linear mappings with the topology of uniform convergence on bounded subsets; see M 3.18. 4. The chain rule holds ( M 3.18). 5. The space C^\infty(U, F) of all smooth mappings U \to F is again a convenient vector space where the structure is given by the following injection, where C^\infty(\mathbb, \mathbb) carries the topology of compact convergence in each derivative separately; see M 3.11 and 3.7. :::: C^\infty(U,F) \to \prod_ C^\infty(\mathbb R,\mathbb R), \quad f\mapsto (\ell\circ f\circ c)_\,. 6. The ''exponential law'' holds ( M 3.12): For c^\infty-open V \subseteq F the following mapping is a linear diffeomorphism of convenient vector spaces. ::: 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'' ( M theorem 5.26). A linear mapping f : E \to C^\infty(V, G) is smooth (by (2) equivalent to bounded) if and only if \operatorname_v \circ f : V \to G is smooth for each v \in V. 8. The following canonical mappings are smooth. This follows from the exponential law by simple categorical reasonings, see M 3.13. :: \begin & \operatorname: C^\infty(E,F)\times E\to F,\quad \text(f,x) = f(x) \\ pt& \operatorname: E\to C^\infty(F,E\times F),\quad\text(x)(y) = (x,y) \\ pt& (\quad)^\wedge :C^\infty(E,C^\infty(F,G))\to C^\infty(E\times F,G) \\ pt& (\quad)^\vee :C^\infty(E\times F,G)\to C^\infty(E,C^\infty(F,G)) \\ pt& \operatorname:C^\infty(F,G)\times C^\infty(E,F)\to C^\infty(E,G) \\ pt& 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) \\ pt& \prod:\prod C^\infty(E_i,F_i)\to C^\infty \left(\prod E_i,\prod F_i\right) \end


Related convenient calculi

Convenient calculus of smooth mappings appeared for the first time in rölicher, 1981 riegl 1982, 1983 Convenient calculus (having properties 6 and 7) exists also for: * Real analytic mappings (Kriegl, Michor, 1990; see also M chapter II). * Holomorphic mappings (Kriegl, Nel, 1985; see also M chapter II). The notion of holomorphy is that of antappié, 1930-33 * Many classes of Denjoy Carleman ultradifferentiable functions, both of Beurling type and of Roumieu-type riegl, Michor, Rainer, 2009, 2011, 2015 * With some adaptations, \operatorname^k, K * With more adaptations, even C^ (i.e., the k-th derivative is Hölder-continuous with index \alpha) ( aure, 1989 aure, 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 M and N be finite dimensional
smooth manifolds In mathematics, a differentiable manifold (also differential manifold) is a type of manifold that is locally similar enough to a vector space to allow one to apply calculus. Any manifold can be described by a collection of charts (atlas). One ma ...
where M is
compact Compact as used in politics may refer broadly to a pact or treaty; in more specific cases it may refer to: * Interstate compact * Blood compact, an ancient ritual of the Philippines * Compact government, a type of colonial rule utilized in British ...
. We use an auxiliary Riemann metric \bar g on N. The Riemannian exponential mapping of \bar g is described in the following diagram: ::: file:ManifoldOfMappingsDiagram.svg It induces an atlas of charts on the space C^\infty(M, N) of all smooth mappings M \to N as follows. A chart centered at f \in C^\infty(M, N), is: :::u_f : C^\infty(M,N)\supset U_f =\ \to \tilde U_f \subset \Gamma(f^*TN), :::u_f(g) = (\pi_N,\exp^)^ \circ (f,g),\quad u_f(g)(x) = (\exp^_)^(g(x)), :::(u_f)^(s) = \exp^_f\circ s, \qquad\quad (u_f)^(s)(x) = \exp^_(s(x)). Now the basics facts follow in easily. Trivializing the pull back vector bundle f^* T N and applying the exponential law 6 leads to the diffeomorphism :::C^\infty(\mathbb R,\Gamma(M;f^*TN)) = \Gamma(\mathbb R\times M; \operatorname^* f^*TN). All chart change mappings are smooth (C^\infty) since they map smooth curves to smooth curves: :::\tilde U_\ni s\mapsto (\pi_N,\exp^)\circ s \mapsto (\pi_N,\exp^)\circ(f_2,\exp^_\circ s). Thus C^\infty(M, N)is a smooth manifold modeled on Fréchet spaces. The space of all smooth curves in this manifold is given by :::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'' :::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 In differential geometry, the tangent bundle of a differentiable manifold M is a manifold TM which assembles all the tangent vectors in M . As a set, it is given by the disjoint unionThe disjoint union ensures that for any two points and of ...
of the manifold of mappings is given by :::\pi_ = C^\infty(M,\pi_N) : TC^\infty(M,N)= C^\infty(M,TN) \to C^\infty(M,N).


Regular Lie groups

Let G be a connected smooth Lie group modeled on convenient vector spaces, with Lie algebra \mathfrak g=T_eG. Multiplication and inversion are denoted by: ::: \mu: G\times G\to G,\quad \mu(x,y) = x.y = \mu_x(y) = \mu^y(x), \qquad \nu: G\to G, \nu(x) = x^. The notion of a regular Lie group is originally due to Omori et al. for Fréchet Lie groups, was weakened and made more transparent by J. Milnor, and was then carried over to convenient Lie groups; see M 38.4. A Lie group G is called ''regular'' if the following two conditions hold: * For each smooth curve X\in C^(\mathbb R,\mathfrak g) in the Lie algebra there exists a smooth curve g\in C^(\mathbb R,G) in the Lie group whose right logarithmic derivative is X. It turn out that g is uniquely determined by its initial value g(0), if it exists. That is, ::: g(0) = e, \qquad \partial_t g(t) = T_e(\mu^)X(t) = X(t).g(t). If g is the unique solution for the curve X required above, we denote :::\operatorname^r_G(X)=g(1), \quad \operatorname^r_G(X)(t):= g(t) =\operatorname^r_G(tX). * The following mapping is required to be smooth: :::\operatorname^r_G: C^(\mathbb R,\mathfrak g)\to G. If X is a constant curve in the Lie algebra, then \operatorname_G^r(X) = \exp^G(X) is the group exponential mapping. Theorem. For each compact manifold M, the diffeomorphism group \operatorname(M) is a regular Lie group. Its Lie algebra is the space \mathfrak X(M) of all smooth vector fields on M, with the negative of the usual bracket as Lie bracket. ''Proof:'' The diffeomorphism group \operatorname(M) is a smooth manifold since it is an open subset in C^\infty(M, M). Composition is smooth by restriction. Inversion is smooth: If t \to f(t, \ ) is a smooth curve in \operatorname(M), then f(t, \ )^(x) satisfies the implicit equation f(t,f(t,\quad)^(x))=x, so by the finite dimensional implicit function theorem, (t, x) \mapsto f(t, \ )^(x) is smooth. So inversion maps smooth curves to smooth curves, and thus inversion is smooth. Let X(t, x) be a time dependent vector field on M (in C^\infty(\mathbb R,\mathfrak X(M))). Then the flow operator \operatorname of the corresponding autonomous vector field \partial_t\times X on \mathbb \times M induces the evolution operator via :::\operatorname_s(t,x)=(t+s,\operatorname(X)(t,x)) which satisfies the ordinary differential equation :::\partial_t\operatorname(X)(t,x) = X(t,\operatorname(X)(t,x)). Given a smooth curve in the Lie algebra, X(s,t,x)\in C^\infty(\mathbb R^2,\mathfrak X(M)), then the solution of the ordinary differential equation depends smoothly also on the further variable s, thus \operatorname_^r maps smooth curves of time dependent vector fields to smooth curves of diffeomorphism. QED.


The principal bundle of embeddings

For finite dimensional manifolds M and N with M compact, the space \operatorname(M, N) of all smooth embeddings of M into N, is open in C^\infty(M, N), so it is a smooth manifold. The diffeomorphism group \operatorname(M) acts freely and smoothly from the right on \operatorname(M, N). Theorem: \operatorname(M, N) \to \operatorname(M, N) / \operatorname(M) is a principal fiber bundle with structure group \operatorname(M). ''Proof:'' One uses again an auxiliary Riemannian metric \bar g on N. Given f \in \operatorname(M, N), view f(M) as a submanifold of N, and split the restriction of the tangent bundle T N to f(M) into the subbundle normal to f(M) and tangential to f(M) as TN, _= \operatorname(f(M))\oplus Tf(M). Choose a tubular neighborhood :::p_ : \operatorname(f(M))\supset W_ \to f(M). If g : M \to N is C^1-near to f, then :::\phi(g):=f^\circ\, p_\circ\, g\in \operatorname(M)\quad \text\quad g\circ\, \phi(g)^\in \Gamma(f^*W_) \subset \Gamma(f^*\operatorname(f(M))). This is the required local splitting. ''QED''


Further applications

An overview of applications using geometry of shape spaces and diffeomorphism groups can be found in auer, Bruveris, Michor, 2014


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. * KFrölicher, 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. * MKriegl, 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. {{Functional Analysis Multivariable calculus Differential calculus Calculus of variations