1. Introduction
There has long been perceived the need for an extension of the framework of smooth manifolds in differential geometry, which is too restrictive and does not admit certain basic geometric intuitions. There have been several different definitions which attempt to describe singular spaces, for example, Spalleks differentiable spaces [
1], real algebraic varieties[
2,
3], orbifolds[
4], diffeology[
5]et al.. Among them Sikorskis [
6]theory of differential spaces studies the differential geometry of a large class of singular spaces which both contains the theory of manifolds and allows the investigation of singularities. Analogous to algebraic geometry, which is the investigation of geometry in terms of polynomials, the theory of differential space is the investigation of geometry in terms of differentiable functions.
It follows that smooth manifolds can be characterized as differential spaces such that every point has a neighborhood diffeomorphic to an open subset of , where n is the dimension of the manifold, the differential structures on U and V are generated by restrictions of smooth functions of S and , respectively, and diffeomorphism is in the sense of differential space. This definition can be weaken by not requiring V is open in and allowing n to be an arbitrary non-negative integer. And it follows the concept of subcartesian space.
The theory of subcartesian spaces has been developed by Śniatycki et.al. in recent few years. There has been a lot of results on this topic[
7,
8,
9,
10,
11,
12,
13,
14,
15,
16]. See [
17] for a systematic treatment on this topic.
In this paper, we investigate the properties of subcartesian spaces from the perspective of differential topology. We will show that some differential topological properties of smooth manifolds can be extended to subcartesian spaces. The first property is partition of unity, which plays a central role in analysis of smooth manifolds. As has been shown in [
17], any Hausdorff, locally compact and second countable differential space possesses partition of unity. Here we get further results on partition of unity for differential spaces.
The second property we will investigate for subcartesian space is the tubular neighborhood property. Assume that the subcartesian space is with constant structural dimension. Let
be an embedding which is ensured in [
14] and let
N be the normal bundle of
S in
which can be considered as a subcartesian space after being endowed with differential structure. We first prove that there exists a local diffeomorphism between an open neighborhood of 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 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 zero section of the normal bundle
N of
S in
defined by
and a subset containing
S of
with constant structural dimension
m. We finally get a global result : 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–the subcartesian space with constant structural dimension.
The third property we will investigate for subcartesian space is the Morse theory. In classical Morse theory[
18], Morse functions in smooth manifolds are defined as smooth functions whose critical points are nondegenerate, i.e., the Hessian matrix of second derivatives has nonvanishing determinant. 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, assume that the subcartesian space
S has constant structural dimension. We prove the following results:
1. Morse functions on S are plentiful. Let S be embedded in an Euclidean space , then for almost all , the function in S defined by is a Morse function on S;
2. Assume that S can be embedded as a bounded subset of an Euclidean space. Then any smooth bounded function on S can be approximated by Morse functions;
3. The set of critical points of a Morse function is discrete in S;
4. If S is compact, then the Morse functions are infinitesimal stable.
It follows immediately that the corresponding results on smooth manifolds[
18]can be treated as corollaries of our results here.
To the best of our knowledge, our work is the first attempt to initiate a systematic study of the differential topological properties for differential spaces.
The paper is organized as follows. In
Section 2, we recall some basic definitions and results on differential and subcartesian spaces which will be used in our paper. We then define Morse functions on differential spaces. In
Section 3, we present existing results and prove further results on partition of unity for differential spaces. In
Section 4, we investigate tubular neighborhood property for subcartesian space with constant structural dimension. In
Section 5, we first provide examples of Morse functions on subcartesian spaces with constant structural dimension, by which we then prove the approximation theorem for subcartesian spaces which can be embedded as a bounded subset of
. In
Section 6, we study stability of Morse functions on compact subcartesian spaces with constant structural dimension. We make conclusions in
Section 7.
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 . □
3. Partition of Unity
Definition 13. A countable partition of unity on a differential space S is a countable family of functions such that:
(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 and such that the support of each is compact.
Here we establish further results on partition of unity for differential spaces.
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 finitely, 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 constant structural dimension n. It follows from Theorem 1 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 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 a open subset of S. Hence N is a subcartesian space with 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 . We have
Lemma 4. There exists an open neighborhood G of 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. Besides, is an linear isomorphism. Hence is an 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 constant structural dimension, it follows from Proposition 2 that N is a metric space and 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 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 exist a smooth function on S such that
where is the norm determined by the Riemannian metric β.
Proof. We first claim that for any
, there exist an open neighborhood
Q of
q in
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
is compact, and
, such that
Denote by
, for all
. Since
is compact, there exists
such that
, for any
. Hence
, for any
. Let
. We have
yields that
. Hence we have
It follows immediately that .
Hence there exists an open cover of S and a family such that .
Then it follows from Lemma 1 that there exist locally finite open covers such that , and is compact, for each , where . And 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 , denote by 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 dimension. Let be an embedding. Let N be defined by (4) and 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 . Besides, . is said to be the 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 dimension. Let be an embedding. Let N be defined by (4) and be the projection. The 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. Besides, 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 . Besides, . This completes the proof of the theorem. □
5. Approximating Bounded Smooth Functions by Morse Functions on Subcartesian Spaces
Let
S be embedded in
with constant structural dimension
n, i.e.
be an embedding. Let
. Define the function
by
It will be proved that for almost all p, the function is a Morse function in S.
From the above section we know that N defined by (4) is a subcartesian space with constant structural dimension m.
Consider be .
Definition 14. is a focal point of if where and . The point e is called 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 is 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 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 an unit vector which 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, then one or more of the will be zero; and hence the corresponding will not be defined.
Now consider the normal line . We have
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 a 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 fix
, let’s 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. Hence we have proved that
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 that
for any .
Proof. Let
be the bounded embedding, with the first coordinate
is 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 sufficiently large and
sufficiently small, then
for any
. This completes the proof. □
6. Infinitesimal Stability of Morse Functions on Subcartesian Spaces
In this section, we study stability of Morse functions on subcartesian spaces. see [
21] for a systematic treatment on stability theory of Morse functions on smooth manifolds.
Lemma 8.
[21] Let f be a smooth function in 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 and such that the identity
holds throughout U.
Lemma 10.
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 15. 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, there is a derivation s on and a derivation t on such that
Theorem 10. Let S be 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 on
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 (
8), 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 . Besides,
(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 constant structural dimension n, it follows from Proposition 1 that defines a derivation on , since for any , , otherwise has dimension less than n. Let .
If
is a regular point, then
If
is a singular point, then
Let
. It follows that
. Hence (
9) 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–the subcartesian space. We first get further results on partition of unity for differential spaces. We then study the tubular neighborhood and get the tubular neighborhood theorem for subcartesian space with constant structural dimension, both locally and globally. By taking advantage of the definition of derivations we define Morse functions on differential spaces. For subcartesian space S with constant structural dimension, we provide examples of Morse functions, which show that Morse functions are plentiful. Further, assume that S admits a bounded embedding in some Euclidean space, we show that bounded smooth functions on S can be approximated by Morse functions. We prove that the set of critical points of any Morse function is discrete in S. Further, if S is compact, we prove that the Morse functions are infinitesimal stable. In future we would like to discover more properties on the differential topological aspects of subcartesian spaces.
Author Contributions
Conceptualization, Q.X.; methodology, Q.X.; software, L.C. and Q.X.; validation, Q.X.; formal analysis, Q.X.; investigation, Q.X.; resources, L.C. and Q.X.; data curation, L.C. and Q.X.; writingoriginal draft preparation, Q.X.; writingreview and editing, Q.X.; visualization, L.C. and Q.X.; supervision, Q.X.; project administration, L.C. and Q.X.. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by NSFC (grant number: 61703211).
Conflicts of Interest
The authors declare that they have no conflicts of interest.
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