Convenient vector space explained

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

Cinfty

if they map smooth curves to smooth curves. This leads to a Cartesian closed category of smooth mappings between

cinfty

-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

See also: Differentiable vector-valued functions from Euclidean space and Differentiation in Fréchet spaces. Let

E

be a locally convex vector space. A curve

c:\R\toE

is called smooth or

Cinfty

if all derivatives exist and are continuous. Let

Cinfty(\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 (system of bounded sets); see [KM], 2.11.The final topologies with respect to the following sets of mappings into

E

coincide; see [KM], 2.13.

Cinfty(\R,E).

\left\{\dfrac{c(t)-c(s)}{t-s}:ts{,}|t|,|s|\leqC\right\}

is bounded in

E,

for each

C

).

EB\toE

where

B

runs through all bounded absolutely convex subsets in

E,

and where

EB

is the linear span of

B

equipped with the Minkowski functional

\|x\|B:=inf\{λ>0:x\inλB\}.

xn\tox

(there exists a sequence

0<λn\toinfty

with

λn\left(xn-x\right)

bounded).This topology is called the

cinfty

-topology on

E

and we write

cinftyE

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

cinfty(D x D)\left(cinftyD\right) x \left(cinftyD\right).

The finest among all locally convex topologies on

E

which are coarser than

cinftyE

is the bornologification of the given locally convex topology. If

E

is a Fréchet space, then

cinftyE=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

cinfty

-completeness); see [KM], 2.14.

c\inCinfty(R,E)

the (Riemann-) integral
1
\int
0

c(t)dt

exists in

E

.

E

is locally Riemann integrable.

Cinfty

curve is

Cinfty

: A curve

c:R\toE

is smooth if and only if the composition

λ\circc:t\mapstoλ(c(t))

is in

Cinfty(R,R)

for all

λ\inE*

where

E*

is the dual of all continuous linear functionals on

E

.

λ\inE'

, the dual of all bounded linear functionals.

λ\inV

, where

V

is a subset of

E'

which recognizes bounded subsets in

E

; see [KM], 5.22.

tn(x-xm)\to0

for some

tn\toinfty

in

R

converges in

E

. This is visibly a mild completeness requirement.

B

is bounded closed absolutely convex, then

EB

is a Banach space.

f:R\toE

is scalar wise

Lipk

, then

f

is

Lipk

, for

k>1

.

f:R\toE

is scalar wise

Cinfty

then

f

is differentiable at

0

.Here a mapping

f:R\toE

is called

Lipk

if all derivatives up to order

k

exist and are Lipschitz, locally on

R

.

Smooth mappings

Let

E

and

F

be convenient vector spaces, and let

U\subseteqE

be

cinfty

-open. A mapping

f:U\toF

is called smooth or

Cinfty

, if the composition

f\circc\inCinfty(R,F)

for all

c\inCinfty(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

R2

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

f:E\supseteqU\toF

is smooth then the derivative

df:U x E\toF

is smooth, and also

df:U\toL(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 [KM], 3.18.

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

5. The space

Cinfty(U,F)

of all smooth mappings

U\toF

is again a convenient vector space where the structure is given by the following injection, where

Cinfty(R,R)

carries the topology of compact convergence in each derivative separately; see [KM], 3.11 and 3.7.

Cinfty(U,F)

\to \prod
c\inCinfty(R,U),\ell\inF*

Cinfty(R,R),   f\mapsto(\ell\circf\circc)c,\ell.

6. The exponential law holds ([KM], 3.12): For

cinfty

-open

V\subseteqF

the following mapping is a linear diffeomorphism of convenient vector spaces.

Cinfty(U,Cinfty(V,G))\congCinfty(U x V,G),    f\mapstog,    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

f:E\toCinfty(V,G)

is smooth (by (2) equivalent to bounded) if and only if

\operatorname{ev}v\circf:V\toG

is smooth for each

v\inV

.

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

\begin{align} &\operatorname{ev}:Cinfty(E,F) x E\toF,ev(f,x)=f(x)\\[6pt] &\operatorname{ins}:E\toCinfty(F,E x F),ins(x)(y)=(x,y)\\[6pt] &()\wedge:Cinfty(E,Cinfty(F,G))\toCinfty(E x F,G)\\[6pt] &()\vee:Cinfty(E x F,G)\toCinfty(E,Cinfty(F,G))\\[6pt] &\operatorname{comp}:Cinfty(F,G) x Cinfty(E,F)\toCinfty(E,G)\\[6pt] &Cinfty(,):C

infty(F,F
1) x
infty(E
C
1,E)\to

Cinfty(Cinfty(E,F),C

infty(E
1,F

1)),(f,g)\mapsto(h\mapstof\circh\circg)\[6pt] &\prod:\prod

infty(E
C
i,F

i)\toCinfty\left(\prodEi,\prodFi\right) \end{align}

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:

\operatorname{Lip}k

, [FK].

Ck,

(i.e., the

k

-th derivative is Hölder-continuous with index

\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

M

and

N

be finite dimensional smooth manifolds where

M

is compact. We use an auxiliary Riemann metric

\barg

on

N

. The Riemannian exponential mapping of

\barg

is described in the following diagram:

It induces an atlas of charts on the space

Cinfty(M,N)

of all smooth mappings

M\toN

as follows.A chart centered at

f\inCinfty(M,N)

, is:

uf:Cinfty(M,N)\supsetUf=\{g:(f,g)(M)\subsetVN x \}\to\tildeUf\subset\Gamma(f*TN),

uf(g)=

\barg
(\pi
N,\exp

)-1\circ(f,g),uf(g)(x)=

\barg
(\exp
f(x)

)-1(g(x)),

-1
(u
f)

(s)=

\barg
\exp
f\circ

s,     

-1
(u
f)

(s)(x)=

\barg
\exp
f(x)

(s(x)).

Now the basics facts follow in easily.Trivializing the pull back vector bundle

f*TN

and applying the exponential law 6 leads to the diffeomorphism

Cinfty(R,\Gamma(M;f*TN))=\Gamma(R x M;

*
\operatorname{pr
2}

f*TN).

All chart change mappings are smooth (

Cinfty

) since they map smooth curves to smooth curves:

\tilde

U
f1

\nis\mapsto

\barg
(\pi
N,\exp

)\circs\mapsto

\barg
(\pi
N,\exp
\barg
)\circ(f
f1

\circs).

Thus

Cinfty(M,N)

is a smooth manifold modeled on Fréchet spaces. The space of all smooth curves in this manifold is given by

Cinfty(R,Cinfty(M,N))\congCinfty(R x M,N).

Since it visibly maps smooth curves to smooth curves, composition

Cinfty(P,M) x Cinfty(M,N)\toCinfty(P,N),    (f,g)\mapstog\circf,

is smooth. As a consequence of the chart structure, the tangent bundle of the manifold of mappings is given by
\pi
Cinfty(M,N)

=

infty(M,\pi
C
N)

:TCinfty(M,N)=Cinfty(M,TN)\toCinfty(M,N).

Regular Lie groups

Let

G

be a connected smooth Lie group modeled on convenient vector spaces, with Lie algebra

akg=TeG

. Multiplication and inversion are denoted by:

\mu:G x G\toG,\mu(x,y)=x.y=\mux(y)=\muy(x),    \nu:G\toG,\nu(x)=x-1.

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 [KM], 38.4.

A Lie group

G

is called regular if the following two conditions hold:

X\inCinfty(R,akg)

in the Lie algebra there exists a smooth curve

g\inCinfty(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,    \partialtg(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
r
\operatorname{evol}
G(X)=g(1),

r
\operatorname{Evol}
G(X)(t):=

g(t)

r
=\operatorname{evol}
G(tX).
r
\operatorname{evol}
G:

Cinfty(R,akg)\toG.

If

X

is a constant curve in the Lie algebra, then
r(X)
\operatorname{evol}
G

=\expG(X)

is the group exponential mapping.

Theorem. For each compact manifold

M

, the diffeomorphism group

\operatorname{Diff}(M)

is a regular Lie group. Its Lie algebra is the space

akX(M)

of all smooth vector fields on

M

, with the negative of the usual bracket as Lie bracket.

Proof: The diffeomorphism group

\operatorname{Diff}(M)

is a smooth manifold since it is an open subset in

Cinfty(M,M)

. Composition is smooth by restriction. Inversion is smooth: If

t\tof(t,)

is a smooth curve in

\operatorname{Diff}(M)

, then

f(t,)-1(x)

satisfies the implicit equation

f(t,f(t,)-1(x))=x

, so by the finite dimensional implicit function theorem,

(t,x)\mapstof(t,)-1(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

Cinfty(R,akX(M))

).Then the flow operator

\operatorname{Fl}

of the corresponding autonomous vector field

\partialt x X

on

R x M

induces the evolution operator via

\operatorname{Fl}s(t,x)=(t+s,\operatorname{Evol}(X)(t,x))

which satisfies the ordinary differential equation

\partialt\operatorname{Evol}(X)(t,x)=X(t,\operatorname{Evol}(X)(t,x)).

Given a smooth curve in the Lie algebra,

X(s,t,x)\inCinfty(R2,akX(M))

,then the solution of the ordinary differential equation depends smoothly also on the further variable

s

,thus

\operatorname{evol}\operatorname{Diff(M)}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{Emb}(M,N)

of all smooth embeddings of

M

into

N

, is open in

Cinfty(M,N)

, so it is a smooth manifold. The diffeomorphism group

\operatorname{Diff}(M)

acts freely and smoothly from the right on

\operatorname{Emb}(M,N)

.

Theorem:

\operatorname{Emb}(M,N)\to\operatorname{Emb}(M,N)/\operatorname{Diff}(M)

is a principal fiber bundle with structure group

\operatorname{Diff}(M)

.

Proof: One uses again an auxiliary Riemannian metric

\barg

on

N

. Given

f\in\operatorname{Emb}(M,N)

, view

f(M)

as a submanifold of

N

, and split the restriction of the tangent bundle

TN

to

f(M)

into the subbundle normal to

f(M)

and tangential to

f(M)

as

TN|f(M)=\operatorname{Nor}(f(M))Tf(M)

. Choose a tubular neighborhood

pf(M):\operatorname{Nor}(f(M))\supsetWf(M)\tof(M).

If

g:M\toN

is

C1

-near to

f

, then

\phi(g):=f-1\circpf(M)\circg\in\operatorname{Diff}(M)andg\circ\phi(g)-1\in

*W
\Gamma(f
f(M)

)\subset\Gamma(f*\operatorname{Nor}(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 [Bauer, Bruveris, Michor, 2014].

References