2. Subcartesian Space
Definition 1. [17] A differential structure on a topological space S is a family of real-valued functions on S satisfying the following conditions:
is a subbasis for the topology of S.
2. If and , then .
3. If is a function such that, for every , there exist an open neighborhood U of x, and a function satisfying
then . Here, the subscript vertical bar | denotes a restriction. is said to be a differential space. Functions are called smooth functions on S.
Definition 2. [17] Let and be two differential space. A map is if for every . A map ϕ between differential spaces is a diffeomorphism if it is invertible and its inverse is .
An alternative way of constructing a differential structure on a set
S, goes as follows. Let
be a family of real-valued functions on
S. Endow
S with the topology generated by a subbasis
Define
by the requirement that
if, for each
, there exist an open subset
U of
S, functions
, and
such that
Clearly,
. It is proved in [
17] that
defined here is a differential structure on
S. We refer to it as the differential structure on
S generated by
.
Let
S be a differential space with a differential structure
, and let
T be an arbitrary subset of
S endowed with the subspace topology (open sets in
T are of the form
, where
U is an open subset of
S). Let
Definition 3. [17] The space of restrictions to of smooth functions on S generates a differential structure on T such that the differential-space topology of S coincides with its subspace topology. In this differential structure, the inclusion map is smooth.
In other words, is the space of restrictions to T of smooth functions on S.
Definition 4. [17] A differential space S is said to be subcartesian if every point of S has a neighbourhood U diffeomorphic to a subset of some Cartesian space . is said to be a local chart of p, where is the diffeomorphism.
Definition 5.
[17] A derivation of is a linear map
for every .
We denote by
the space of derivations of
. This has the structure of a Lie algebra, with the Lie bracket
defined by
for every
and
.
Definition 6.
[17] A derivation of at is a linear map such that
for every .
We denote by the space of derivations of at .
We interpret derivations of at as tangent vectors to S at x. The set of all derivations of at x is denoted by and is called the tangent space to S at x.
If
X is a derivation of
, then for every
we have a derivation
of
at
x given by
The derivation (
1) is called the value of
X at
x. Clearly, the derivation
X is uniquely determined by the collection
of its values at all points in
S.
Let
S be a differential space of
. Let
denote the ideal of functions in
that vanish identically on
S:
Proposition 1. [17] A smooth vector field Y on restricts to a derivation of if , for every .
Definition 7. [17] A point is called a critical point of if , for each .
If
x is a critical point of
, then consider the smooth distribution on
S defined by
. We can define a bilinear symmetric functional
on
, called the Hessian of
f at
x as follows. Let
. Then there exists
,such that
. We define
is well-defined. Let
such that
. We have
where
because
and
x is a critical point of
f. From (
3) we also have that
is symmetric and bilinear.
Definition 8. A point is called a nondegenerate critical point of if x is a critical point of S such that is nondegenerate.
Definition 9. A smooth function is said to be a Morse function if each critical point of f is nondegenerate.
Definition 10. [17] Let S be a subcartesian space. The structural dimension of S at a point is the smallest integer n such that for some open neighbourhood of x, there is a diffeomorphism of U onto a subset . The structural dimension of S is the smallest integer n such that for every point , the structural dimension of S at x satisfies that .
It follows from the definition of subcartesian space that a subcartesian space is locally compact. We make the following assumption: throughout the paper, the subcartesian spaces are second countable.
Lemma 1. Let S be a subcartesian space with constant structural dimension n and be a smooth map. Let be an open cover of S. Then there exist locally finite open covers such that , is compact, for each , where is a local chart of S and . Besides, there exists a smooth extension of Φ on , that is, .
Proof. The proof follows by replacing
in proof of Lemma 3.3 in [
14] with
, where
is an open subset containing
p, and by replacing
f,
and
in the proof of Lemma 3.3 in [
14] with
,
and
n. □
We have the embedding theorem for subcartesian space.
Theorem 1. [14] Let S be a subcartesian space with structural dimension n. Then there exists a proper embedding map , where .
Theorem 2. [17] For a subcartesian space S, the structural dimension at x is equal to .
The subcartesian space is said to be with constant structural dimension if the structural dimension of each is the same.
Throughout the paper, we will focus on the subcartesian space with constant structural dimension.
The remaining part of this section we will show that S is a metric space.
Definition 11. A smooth Riemannian metric on a subcartesian space is a symmetric positive definite bilinear form in , for each , such that for each smooth section σ of , the function .
Theorem 3. [19] Let S be a subcartesian space with structural dimension n. Then there exists a smooth Riemannian metric on S.
Definition 12. Let S be a subcartesian space with constant structural dimension. Given two points , the distance is defined by infimum of the lengths of all curves , where is a piecewise differentiable curve joining p to q.
Proposition 2. With the distance d, S is a metric space.
(1) , for ;
(2) ;
(3) , and if and only if .
Proof. We only need to show that if then . Assume that are two distinct points. It follows that there is a normal ball (which is diffeomorphic to a subset V of with , for ) that does not contain q. Since , there exists a curve c joining p and q of length less than r. Hence the segment of c must contain in and hence c can not join p and q. This makes a contradiction.
The remaining item follow directly from the definition of . □