1. Introduction
The framework of smooth manifolds has long been the core of differential geometry. However, in theoretical physics, there have been some objects that not possess smooth manifold structures. Hence, it is necessary to extend the framework of smooth manifolds to singular spaces, which admit certain basic geometric intuitions. There have been several different definitions which attempt to describe singular spaces, for example, Spallek’s differentiable spaces [
1], real algebraic varieties [
2,
3], orbifolds [
4], diffeology [
5], etc. Among them, Sikorski’s [
6] theory of differential spaces provides a framework of a large class of singular spaces by endowing the topological space
S with a differential structure
. Once a differential structure
is specified, we study geometric constructs on
S in terms of their compatibility with
.
It follows that an n-dimensional smooth manifold M can be treated as a differential space with a differential structure given by all smooth functions on it. Further, every point p on the manifold has a neighborhood U diffeomorphic to an open subset V of , by endowing U and V with differential structure generated by restrictions of smooth functions on M and , respectively, and by considering the diffeomorphism in the sense of differential space. If n is allowed to be an arbitrary non-negative integer depending on point p and V is allowed to be any subset in , it follows the concept of subcartesian space, as a special case of differential spaces.
The differential geometry of differential spaces was developed by Śniatycki et al. in recent years. There have been a lot of results on this topic [
7,
8,
9,
10,
11,
12,
13,
14,
15,
16], where the geometry of differential spaces, including their tangent and cotangent bundles, integration of vector fields, and distributions, are discussed. Detailed results are presented under the assumption that differential spaces are subcartesian. See [
17] for a systematic review on this topic.
In this paper, we investigate the properties of subcartesian spaces from the perspective of differential topology. We will show that some important differential topological properties of smooth manifolds have solutions in subcartesian spaces.
The first property we want to address is the partition of unity. The existence of a partition of unity on a smooth manifold is well-known. In case of differential spaces, as has been shown in [
17], any locally compact, Hausdorff, and second countable differential space possesses a partition of unity. In this paper we first review the existing result and then present a minor further result on the partition of unity for differential spaces, which will be used in the following sections.
The second property we will investigate for subcartesian space is the tubular neighborhood property. As is well-known, any smooth manifold possesses a tubular neighborhood. In the case of subcartesian space, it can be assumed that the subcatesian space is with constant structural dimension, letting
be an embedding, which is ensured in [
14]. Then, the normal bundle
N of
S in
becomes a subcartesian space by endowing it with a proper differential structure. We first prove that there exists a local diffeomorphism between an open neighborhood of the zero section of the normal bundle
N of
S in
and a subset containing
S of
with constant structural dimension
m, where the open neighborhood of the zero section and the subset containing
S of
are considered as differential subspace of
N and
, respectively. Further, by taking advantage of the partition of unity, we get a global tubular neighborhood: there exists a diffeomorphism between an open neighborhood of the zero section of the normal bundle
N of
S in
defined by
and a subset containing
S of
with a constant structural dimension
m. We finally get a global result in the paper: there exists a diffeomorphism between the normal bundle
N of
S in
and a subset containing
S of
. Our results generalize the tubular neighborhood theorem in smooth manifolds to more general cases, i.e., subcartesian space with a constant structural dimension.
The third property we will investigate for subcartesian space is the Morse theory. In classical Morse theory [
18], Morse functions on smooth manifolds are defined as smooth functions whose critical points are nondegenerate. In this paper, by taking advantage of the definition of derivation on differential space, we extend the definition of Morse functions on smooth manifolds to differential spaces. We then study some basic properties of Morse functions on subcartesian spaces. Precisely, by assuming a constant structural dimensional subcartesian space
S, we will prove the following results in the paper:
Morse functions on S are plentiful. Let be an embedding. For almost all , the function in S defined by is a Morse function on S;
Let be an embedding such that is a bounded subset of . Then, any smooth bounded function on S can be approximated by Morse functions;
The set of critical points of a Morse function on S is discrete;
If S is compact, then the Morse functions are infinitesimal stable.
Consider smooth manifolds as subcartesian spaces with a differential structure defined by smooth functions on the manifolds. It follows immediately that the corresponding classical results on Morse functions on smooth manifolds [
18] can be treated directly as corollaries of our results on subcartesian spaces here.
To the best of our knowledge, our work is the first attempt to initiate a systematic study of the differential topological properties of differential spaces.
The paper is organized as follows. In
Section 2, some basic definitions and theorems on differential and subcartesian spaces, which will be used in our paper, are reviewed. We then define Morse functions on differential spaces. In
Section 3, we present existing results and prove further results on the partition of unity for differential spaces. In
Section 4, we investigate the tubular neighborhood property for subcartesian spaces with a constant structural dimension. In
Section 5, we first provide examples of Morse functions on subcartesian spaces with a constant structural dimension, using which we then prove the approximation theorem for subcartesian spaces, which can be embedded as a bounded subset of
. In
Section 6, we study the stability of Morse functions on compact subcartesian spaces with constant structural dimensions. We present our conclusions in
Section 7.
2. Differential Space and 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:- 1.
The familyis a sub-basis 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 satisfyingthen . Here, the subscript vertical bar | denotes a restriction. is said to be a differential space. Functions in are called smooth functions on S.
Example 1. Let S be an arbitrary set endowed with the trivial topology, i.e., the empty set, and S are the only open sets. Let differential structure be defined as the set of all constant functions on S. is a differential space.
Definition 2 ([
17])
. Let and be two differential spaces. A map is smooth if for each . A map ϕ between differential spaces is a diffeomorphism if it is smooth, invertible, and its inverse is smooth. Let
be a family of real-valued functions on
S. Endow
S with the topology generated by a subbasis
We can construct a differential structure on S as follows.
Define
by requiring 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
be a differential space, and let
be a subset of
S endowed with the subspace topology. Let
Proposition 1 ([
17])
. The family of functions 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. Definition 3 ([
17])
. A differential space is said to be subcartesian if every point p of S has a neighborhood U diffeomorphic to a subset of some Cartesian space , where is a local chart of p, and is the diffeomorphism. Example 2. Let S be any subset of and be the differential subspace of . is a subcartesian space.
Example 3. Let S be a smooth manifold and be the set of all smooth functions on S. is a subcartesian space.
In the following, we restrict our attention to locally compact, Hausdorff, second countable subcartesian spaces. Based the above assumptions, the existence of a partition of unity on a subcartesian space is ensured. This will be detailed in the following section. Note that it follows directly from Definition 3 that a subcartesian space must be Hausdorff. Moreover, it follows from Definition 3 and Condition 1 of Definition 1 that a subcartesian space must be locally compact. Thus, we only need the following assumption.
Assumption 1. All subcartesian spaces considered here are second countable.
Definition 4 ([
17])
. Let be a differential space. A derivation of is a linear mapwhich satisfies Leibniz‘s rulefor every . We denote by
the space of derivations of
. This has the structure of Lie algebra, with the Lie bracket
defined by
for every
and
.
Definition 5 ([
17])
. Let be a differential space. A derivation of at is a linear map such thatfor 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 subspace of
. Let
denote the ideal of functions in
that vanish identically on
S:
Proposition 2 ([
17])
. A smooth vector field Y on restricts to a derivation of if for every . Definition 6 ([
17])
. Let be a differential space. 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 exist
, 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 know that
is symmetrical and bilinear.
Definition 7. Let be a differential space. Point is called a nondegenerate critical point of if x is a critical point of f, such that is nondegenerate.
Definition 8. Let be a differential space. A smooth function is said to be a Morse function if each critical point of f is nondegenerate.
Remark 1. A Morse function on a smooth manifold is defined as a smooth function whose critical points are nondegenerate. It is natural to generalize the concept of critical points on smooth manifolds to the case of differential space by using the definition of derivation on differential spaces. To define the nondegenerate property we need to restrict to instead of . We know and coincide when S is a subcartesian with constant structural dimension.
We have the following definition of structural dimension for subcartesian space.
Definition 9 ([
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 neighborhood 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 . Theorem 1 ([
17])
. For a subcartesian space S, the structural dimension at x is equal to . We have the embedding theorem for subcartesian space.
Theorem 2 ([
14])
. Let S be a subcartesian space with structural dimension n. Then, there exists a proper embedding map , where . The subcartesian space is said to be with constant structural dimension if the structural dimension of each is the same.
Example 4. The Koch curve is a subset K of defined as follows. The set consists of the end points of the line segment . Construct a set by removing the middle third from the segment , replacing it with two equal segments that would form an equilateral triangle with the removed piece. The resulting four-sided zigzag has vertices . Next, construct a set by applying the same construction to each line segment of the set . We denote the set of vertices of by . Continuing in this way, we obtain a sequence of piecewise linear sets and the sets of their vertices. Let be the union of all sets , i.e., . The Koch curve K is the topological closure of . Since K is a closed subset of , its differential structure consists of the restrictions to K of smooth functions on . We can show that for each . Hence, K is a subcartesian space with constant structural dimension.
We make the following assumption.
Assumption 2. All subcartesian spaces considered here have constant structural dimensions.
Lemma 1. Let S be a subcartesian space with a 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 . Furthermore, there exists a smooth extension of Φ on ; that is, .
Proof. The proof follows by replacing
in the 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. □
In the remaining part of this section, we will show that the subcartesian space S with structural dimension is a metric space.
Definition 10. 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 11. Let S be a subcartesian space with a 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 3. With the distance d, the subcartesian S with constant structural dimension 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 ; hence, c cannot join p and q. This makes a contradiction.
The remaining item follows on directly from the definition of . □
3. Partition of Unity
Definition 12. A countable partition of unity on a differential space S is a countable family of functions :
- (a)
The collection of their supports is locally finite.
- (b)
for each i and each .
- (c)
for each .
The following theorem in [
17] establishes the existence of a partition of unity for locally compact, second countable Hausdorff differential spaces.
Theorem 4 ([
17])
. Let S be a differential space with differential structure , and let be an open cover of S. If S is Hausdorff, locally compact, and second countable, then there exists a countable partition of unity subordinate to , such that the support of each is compact. We present a minor further result on the partition of unity for differential spaces, which will be used in the following section.
Lemma 2. Let S be a Hausdorff, locally compact, and second countable differential space with differential structure . Let be a non-empty closed subset and be an open subset such that . Then, there exists a smooth function , such that .
Proof. Let . Then, is an open cover of S. It follows from Theorem 4 that there exists a countable partition of unity subordinate to , such that the support of each is compact.
Define
. Since the collection of the supports of
is locally finite, it follows from condition 3 in Definition 1 that
. And, we have
Then, the result follows immediately. □
Corollary 1. Let S be a Hausdorff, locally compact, and second countable differential space with differential structure . Let be a family of locally finite open subsets. Let be compact, such that . Then, there exists a family of smooth functions , such that
- (1)
;
- (2)
.
Proof. It follows from Lemma 2 that there exists , such that .
Since is locally finite, it follows that . Further, . On the other hand, since , it follows that .
Define . . It follows immediately that satisfies conditions (1) and (2). □
4. Tubular Neighborhoods
Let S be a subcartesian space with a constant structural dimension n. From Theorem 2, we know that there exists a proper embedding map , where .
Denote by the projection . The differential structural of N is generated by the family of functions .
Since S is a subcartesian space with a constant structural dimension n, it follows that for each . Hence, the dimension of the linear space is for each . is a vector bundle on S, where is a smooth map and is diffeomorphic to , where U is an open subset of S. Hence, N is a subcartesian space with a constant structural dimension .
Lemma 3 ([
20])
. Let be metric spaces. X is locally compact and second countable. Let A be a closed subset of X. Assume that the continuous map satisfies that- (1)
is a local homeomorphism;
- (2)
is an injection.
Then, there exists an open neighborhood G of A in X and an open neighborhood of in Y, such that is a homeomorphism from G to H.
Let be defined by .
Lemma 4. There exists an open neighborhood G of the zero section Z of N, such that is a diffeomorphism between the subcartesian space G and .
Proof. For any and consider . Due to the local product property of , we have . Since is a diffeomorphism, we have is an linear isomorphism. Furthermore, is an linear isomorphism. Hence, is a linear isomorphism. Since N is a subcartesian space with constant structural dimension m, let be a local chart of N; then, can be locally extended to be a smooth map from an open subset of to . Since is a linear isomorphism, it follows that is a linear isomorphism. Hence, is a local diffeomorphism around 0, which yields that is a local diffeomorphism around . Since q is arbitrary, we get that there exists an open neighborhood X of zero section Z of N, such that is a local diffeomorphism. On the other hand, is a diffeomorphism.
Since N is a subcartesian space with a constant structural dimension, it follows from Proposition 3 that N is a metric space; hence, X is a metric space as an open subset of N. Then, it follows from Lemma 3 that there exists an open neighborhood of Z and an open neighborhood of S in , such that is a homeomorphism. Since is a local diffeomorphism, it follows immediately that is a diffeomorphism. This completes the proof of the lemma. □
Consider the vector bundle on S. Due to the local trivial property of the vector bundle together with existence of a partition of unity on S, there exists a smooth Riemannian metric on .
Lemma 5. Let β be a smooth Riemannian metric on . Let Z be a zero section of N and G be an open neighborhood of Z. Then, there exists a smooth function on S, such thatwhere is the norm determined by the Riemannian metric β. Proof. We first claim that for any
, there exist an open neighborhood
Q of
q on
S and
, such that
Consider the local trivial neighborhood
U of
q. Then, there exists a diffeomorphism
. Since
is an open neighborhood of
Z in
and since
S is locally compact, it follows that there exist an open neighborhood
of
q, where
and
are compact and
, such that
Denote
for all
. Since
is compact, there exists
, such that
for any
. Hence,
for any
. Let
. We have
, which yields that
. Hence, we have
It follows immediately that .
Hence, there exist an open cover of S and a family , such that .
It follows from Lemma 1 that there exist locally finite open covers
such that
, and
is compact for each
, where
. For each
, there exists
, such that
.
We claim that there exists a smooth function on S, such that for any . It follows from Corollary 1 that there exists partition of unity , such that
Given , Let . For , we have
Hence, we have proved that
□
We have the following tubular neighborhood theorem for subcartesian space.
Theorem 5. Let S be a subcartesian space with constant structural dimensions. Let be an embedding. Let N be defined by N is a subcartesian space with a constant structural dimension m. Let be the projection. Let be defined by . There exists a smooth function on S, such that is a diffeomorphism between the subcartesian space and , where and is the Euclidean norm in . Further, define . Then, is a smooth map satisfying that for any . Furthermore, . is said to be a tubular neighborhood of S in , and is said to be the contraction map of the tubular neighborhood.
The above result can be extended to the following global result.
Theorem 6. Let S be a subcartesian space with constant structural dimensions. Let be an embedding. Let N be defined by N is a subcartesian space with a constant structural dimension m. Let be the projection. Then, there exists a diffeomorphism , such that for any . Further, there exists a smooth contraction map , such that .
Proof. It follows from Theorem 5 that there exists a smooth function on S, such that is a diffeomorphism. Furthermore, there exists a contraction map , such that .
Define a smooth map by . We claim that is a diffeomorphism. Consider the smooth map by . It follows that and . Hence, is an bijection. Since both and are smooth, it follows immediately that is a diffeomorphism.
Let . Then, is a diffeomorphism, which satisfies that for all . Furthermore, . This completes the proof of the theorem. □
5. Approximating Bounded Smooth Functions by Morse Functions on Subcartesian Spaces
Let
S be a subcartesian space with constant structural dimension
n embedded in
, i.e.,
. Let
. Define the function
by
It will be proven that for almost all p, the function is a Morse function on S.
From the above section, we know that N defined by (4) is a subcartesian space with a constant structural dimension m.
Consider is .
Definition 13. is a focal point of if , where and . Point e is a focal point of S if e is a focal point of for some .
Theorem 7. Let S be a subcartesian space with constant structural dimension n and let be smooth. The image of the set of the points where is singular has measure 0 in .
Proof. It follows from Lemma 1 that there exist an open cover and a local chart for each j, such that there exists a smooth extension of on ; that is, .
Since the structural dimension of S is n, it follows that the set of points on where is singular is the same as the set of points on , where is singular. From Sard’s Theorem we know that the image of the set of points where is singular has measure 0 in . It follows that the image of the set of points on where is singular has measure 0 in . Then, the image of the set of the points where is singular is a union of countable sets, where each set has measure 0 in . Hence, the image of the set of the points where is singular has measure 0 in . □
Corollary 2. For almost all , the point x is not a focal point of S.
Proof. The point x is a focal point of S if and only if x is in the image of the set of points, where is singular. The result follows from Theorem 7. □
Let with being local coordinates for q. Then, the inclusion can be locally extended to be a smooth map .
Define the matrices associated with the coordinate system by
Consider the vector
. Let
v be a unit vector that is perpendicular to
. Define the vector
to be the normal component of
. Given any unit vector
v, which is normal to
S at
q, we have the matrix
The coordinates can be chosen such that evaluated at q is the identity matrix. Then, the eigenvalues of the matrix are called the principal curvature of S at q in the normal direction v. are called principle radii of curvature. If the matrix is singular, one or more of the will be zero; hence, the corresponding will not be defined.
Now consider the normal line .
Lemma 6. The focal points of along l are precisely the points , where . Thus, there are at most n focal points of along l, each being counted with its proper multiplicity.
Proof. Choose
vector fields
, which are unit vectors orthogonal to each other and to
. We can introduce local coordinates
for
N, which corresponds to the point
. Then, the map
has the local coordinate expression
Since
S has constant structural dimension
n, we have
span
around
. Hence, we have
Taking the inner products of these vectors with the basis vector
, we then get the following matrix:
since
are orthogonal.
Since
we have
.
Since evaluated at q is the identity matrix, it follows that the above matrix is singular at if and only if , where the principal curvature of S at q in the normal direction v.
Since is the focal point of if and only if is singular at if and only if the above matrix is singular at , the result follows immediately. □
Now, to fix
, let us study the function
defined above.
Hence, q is a critical point of if and only if is normal to at q.
Since It follows from the proof of Lemma 6 that is singular at q if and only if , where v is unit vector normal to at q and , where is the principal curvature of S at q in the normal direction v.
Lemma 7. The point is a degenerate critical point of if and only if p is a focal point of .
Theorem 8. For almost all , the function has no degenerate critical point.
Proof. The result follows from Lemma 7 and Corollary 2. □
Theorem 9. Assume that S can be embedded as a bounded subset of . Let be bounded. Then, for any , there exists a Morse function , such thatfor any . Proof. Let
be the bounded embedding, with the first coordinate
being precisely the given smooth function
f. Let
c be a large number. Choose a point
close to
, such that the function
is a Morse function and let
g is a Morse function, and by computation we have
Since
is bounded, choose
c to be sufficiently large and
to be sufficiently small; then,
for any
. This completes the proof. □
6. Infinitesimal Stability of Morse Functions on Subcartesian Spaces
In this section, we study the stability of Morse functions on a subcartesian space
S with constant structural dimensions. See [
21] for a systematic treatment on stability theory of Morse functions on smooth manifolds.
Lemma 8 ([
21])
. Let f be a smooth function on with . Then,where are smooth functions on , such that . Lemma 9 ([
21])
. Let p be a non-degenerate critical point for . Then, there is a local coordinate system in a neighborhood U of p with for all i, such that the identityholds throughout U. Lemma 10. Let be a subcartesian space with constant structural dimension. Let . Let be a nondegenerate critical point of f. Then, there is a local coordinate system of x with local coordinate system in , such that f has a smooth extension on Proof. Let be a local coordinate system of x, such that . Let be a smooth extension of f. Hence, . Since S has constant structural dimension and x is a nondegenerate critical point of f, it follows that 0 is a nondegenerate critical point of . Then, the result follows immediately from Lemma 9. □
Corollary 3. The set of critical points of a Morse function on S is discrete.
Proof. The result follows from Lemma 10 directly. □
Definition 14. Let be two subcartesian spaces. Let be smooth.
- (a)
Let be the canonical projection, and let be smooth. Then, w is a derivation along Φ if . Let denote the set of derivation along Φ.
- (b)
Φ
is infinitesimally stable if for every w, a derivation along Φ,
thereis a derivation s on and a derivation t on such that
Theorem 10. Let be a subcartesian space with constant structural dimensions. Assume that S is compact. Let be a Morse function, all of whose critical values are distinct, i.e., if p and q are distinct critical points of f in S, then . Then, f is infinitesimal stable.
Proof. Let
be a derivation along
f. Then
for every
, where
. Let
s be a derivation of
S. Then,
. Let
t be a vector field on
. Then,
, where
. The condition of infinitesimal stability reduces in this case to the following: for every
, there exists a derivation
s of
S and a function
such that
We now show how to solve the above equation. Since
S is compact, it follows that there is only a finite number of critical points of
f. Since all the critical values of
f are distinct, we choose
, such that
for every critical point
x of
f. To solve (
9), it is sufficient to solve
where
satisfies that
for
x being critical point of
f. We now construct
s.
Around each point p in S, choose an open neighborhood with local coordinates , such that both f and w have smooth extensions and on with and .
- (a)
If p is a regular point, choose so small that for every . Choose a derivation on , such that on .
- (b)
If p is a critical point, then , where . , and since , it follows from Lemma 8 that , where are smooth functions on .
The collection forms an open covering of S. Since S is compact, there exists a finite subcovering corresponding to . Let be a partition of unity subordinate to this covering. Choose derivations on S () as follows:
- (a)
if
is a regular point, then let
- (b)
If is a critical point, let on . Since S has a constant structural dimension n, it follows from Proposition 2 that defines a derivation on , since for any , ; otherwise, has a dimension less than n. Let .
If
is a regular point, then
If
is a singular point, then
Let
. It follows that
. Hence, (
10) is solved. The result follows immediately. □
7. Conclusions
In this paper, we have initiated a study of the differential topological properties for a subclass of singular space, subcartesian space. The purpose of our study was to discover important and interesting problems on smooth manifolds with solutions in subcartesian spaces when working in the framework of subcartesian spaces. Along this line, we mainly studied three aspects of differential topological properties for subcartesian spaces.
The first property concerns the partition of unity. The existence of a partition of unity on a differential space was already proven in the existing literature. After reviewing the result, we presented a minor further result on this point for differential space.
The second property we studied was the tubular neighborhood property, which is well-known for a smooth manifold. We established the tubular neighborhood theorem for subcartesian spaces with constant structural dimensions, both locally and globally.
The third property we studied is the Morse theory on subcartesian spaces. By taking advantage of the definition of derivations, we defined Morse functions on differential spaces. For a subcartesian space S with constant structural dimensions, we provided a class of examples of Morse functions, showing that Morse functions are plentiful. Further, we assumed that S admits a bounded embedding in some Euclidean space, showing that bounded smooth functions on S can be approximated by Morse functions. We proved that the set of critical points of any Morse function is discrete on S. Further, if S is compact, we proved that the Morse functions are infinitesimal stable.
In the future, we would like to conduct a further study of the Morse theory on subcartesian space and obtain more results on the differential topological properties of subcartesian spaces.