How would you define a mathematical space?

In summary, a manifold is a topological space that looks locally like ##\mathbb{R}^n## in a precise sense, but it is not necessarily a subset of ##\mathbb{R}^n##. While many manifolds can be embedded in ##\mathbb{R}^n##, this is not always the case. The purpose of using manifolds is to allow for calculus to be done on curved spaces, and the different pieces of ##\mathbb{R}^n## used for these calculations are called charts. However, these charts do not replace the manifold itself, which remains curved and may not be embedded in ##\mathbb{R}^n##. The letter
  • #1
TheDS1337
13
6
So, I'm a little confused and I thought I might get some help here.

I have just started learning about manifolds and its super confusing because I've always worked with Euclidean spaces, too much that I didn't even realize it's euclidean and that it has different properties from others.

So my question is, what is space truly?
Why do we say manifold M instead of just $R^n$ ? is M just a subset of $R^n$?
Is space a structure (I.E. a set with certain configuration like Wikipedia page says) or is it not a set at all? If it's not a set, then why do we even say M is a manifold? what does the letter M here refer to in the first place...
 
Last edited:
Mathematics news on Phys.org
  • #2
TheDS1337 said:
So, I'm a little confused and I thought I might get some help here.

I have just started learning about manifolds and its super confusing because I've always worked with Euclidean spaces, too much that I didn't even realize it's euclidean and that it has different properties from others.

So my question is, what is space truly?
Why do we say manifold M instead of just R^n ?
Because they are two different concepts. The shortest distance between two points of a manifold is in general not a straight line.
is M just a subset of R^n?
This is a possibility, but the idea behind a manifold is, that we do not have such an embedding. E.g. (a bit exaggerated to demonstrate the point) we both live on the surface of the Earth and there is no way for us to go outside of it, nor inside. The sphere is all that's there: curved, locally flat, and no thought about an outside.
Is space a structure (I.E. a set with certain configuration like Wikipedia page says) or is it not a set at all?
There isn't a mathematical term called "space". We call certain sets in certain settings a space for conveniences. A space in linear algebra is typically a vector space, but it might also be an affine space, spaces in stochastics are phase spaces of possible states, a space in differential geometry does not exist (too ambiguous), a space in algebraic geometry is a variety. Space is a physical term, and even there it needs further explanation for what is meant.
If it's not a set, then why do we even say M is a manifold? what does the letter M here refer to in the first place...
It refers to the fact that it is not flat, not Euclidean. It is an object defined by nonlinear equations, or topological properties. The clue is to forget about embeddings. E.g. you cannot embed the Klein bottle in 3D Euclidean space. The idea behind it is the following:
1. Given a manifold, a set of points which form an "object".
2. O.k., but then we cannot do calculus, so what is it good for?
3. Right. We need one more property: assume it can locally be modeled by a piece of ##\mathbb{R}^n##.
4. How does this help?
5. Continuity and differentiability, as well as convergence are all local properties! Calculus is a theory which only makes statements about the behavior of functions around certain points, a neighborhood of a point. So our requirement allows us to leave the manifold and enter the piece of ##\mathbb{R}^n##, do the calculations, and return the result to the manifold. If our neighborhood is small enough, we will get good results about the manifold.
6. And the costs are?
7. The costs are the fact, that we have different pieces of ##\mathbb{R}^n## at different points. We cannot compare calculations done on one with those done on the other. We won't get rid of locality (unless we assume further properties).

The pieces of ##\mathbb{R}^n## are called charts. They allow us to apply calculus. But they do not replace the manifold, which is still curved. The manifold might be embedded in a bigger ##\mathbb{R}^N##, but we do not care, i.e. we do not require it. It's an other people's problem. All we require is the existence of these charts. They allow us to do calculus on "curved spaces" which were formerly out of reach without an embedding.
 
  • Like
Likes dextercioby
  • #3
A manifold ##M## is not necessarily a subset of ##\mathbb{R}^n##. In the first place, a manifold is a topological space.

It is something that looks locally like ##\mathbb{R}^n## in a very precise sense, i.e. every point of ##M## has an open neighborhood ##V## together with a homeomorphism ##\phi: V \to U## where ##U## is an open subset of ##\mathbb{R}^n##.

While it is true that many manifolds can be realized as subsets of some Euclidean space ##\mathbb{R}^n## (i.e. we can find a diffeomorphism of our manifold with a manifold that lives embedded in some ##\mathbb{R}^n##), this is not always the case.
 
  • #4
Very interesting stuff from the both of you, I see now why manifolds and euclidean spaces relate to each other locally.

As you can see, I'm just a newbie into these stuff, I never done topology nor differential geometry before, and definitely not much in abstract algebra.

I need a little help here, asking one more question, I've just started reading "Introduction to Manifolds" by Loring W. Tu, do you guys think it's a good start or if not, can I get some recommendations for a newbie like me from your part? Thanks a lot!
 
  • #5
TheDS1337 said:
Very interesting stuff from the both of you, I see now why manifolds and euclidean spaces relate to each other locally.

As you can see, I'm just a newbie into these stuff, I never done topology nor differential geometry before, and definitely not much in abstract algebra.

I need a little help here, asking one more question, I've just started reading "Introduction to Manifolds" by Loring W. Tu, do you guys think it's a good start or if not, can I get some recommendations for a newbie like me from your part? Thanks a lot!
What is your level of mathematics currently? That looks very like a graduate text to me.
 
  • #6
Recommending a textbook is in the end always a matter of taste and the individual way people like to learn. I find this one
https://www.amazon.com/dp/0387903577/?tag=pfamazon01-20
a good approach without overwhelming mathematical overhead. But you can easily find lecture notes on the internet, which is cheaper and of less risk in case a book doesn't match your needs.
 
  • Like
Likes TheDS1337
  • #7
PeroK said:
What is your level of mathematics currently? That looks very like a graduate text to me.
Well, I'm actually a graduate student in Physics, I've always been thought from a physicists point of vue "only physics matter", not only that, even the modules I had didn't really require much of mathematics... like the most abstract stuff we did in Relativistic Quantum Mechanics was group theory.

So I wanted to start my mathematical formation because I know I will need it in the future especially that I'm interested in the theoretical part of physics.
 
  • Like
Likes PeroK
  • #8
TheDS1337 said:
Well, I'm actually a graduate student in Physics, I've always been thought from a physicists point of vue "only physics matter", not only that, even the modules I had didn't really require much of mathematics... like the most abstract stuff we did in Relativistic Quantum Mechanics was group theory.

So I wanted to start my mathematical formation because I know I will need it in the future especially that I'm interested in the theoretical part of physics.
What about this?

https://uchicago.app.box.com/s/vabknygqmfkzngv44ru2st30ehpa5ozi
 
  • Like
Likes TheDS1337
  • #9
PeroK said:

Nice, I'll give it a look!

and ahh... I always find myself asking more questions when talking to mathematicians, I know that a lot of you guys had different paths in learning mathematics, I don't want to create another thread just for this because the question may seem silly... However, How does the average mathematician study different areas of mathematics, and how does one help you with another?
 
  • #11
TheDS1337 said:
I need a little help here, asking one more question, I've just started reading "Introduction to Manifolds" by Loring W. Tu, do you guys think it's a good start or if not, can I get some recommendations for a newbie like me from your part? Thanks a lot!

Prerequisites of this book are the following: Basic knowledge of point set topology (really not too much) and a firm grasp of multivariable analysis, in particular the inverse function theorem is very important.

I used this book together with Lee's book on smooth manifolds in a differential geometry course. I think Tu's book is a good starting point (Lee's book is more advanced) for learning differential geometry.
 
  • Like
Likes PeroK and TheDS1337
  • #12
Math_QED said:
Prerequisites of this book are the following: Basic knowledge of point set topology (really not too much) and a firm grasp of multivariable analysis, in particular the inverse function theorem is very important.

I used this book together with Lee's book on smooth manifolds in a differential geometry course. I think Tu's book is a good starting point (Lee's book is more advanced) for learning differential geometry.
Neat, I've done some point set theory in the past but not so much, I think the hardest part in it are the proofs.
 

Related to How would you define a mathematical space?

1. What is a mathematical space?

A mathematical space is a set of mathematical objects or points that have certain properties and relationships defined by a set of rules or axioms. It can be thought of as a framework or structure in which mathematical concepts and operations can be applied.

2. How is a mathematical space different from a physical space?

A mathematical space is an abstract concept that exists only in the realm of mathematics, while a physical space is a tangible, measurable area in the physical world. Mathematical spaces do not have physical properties such as size, shape, or location, but they can be used to model and describe physical spaces.

3. What are the types of mathematical spaces?

There are many types of mathematical spaces, including Euclidean spaces, vector spaces, metric spaces, topological spaces, and more. Each type of space has its own set of properties and rules that define its structure and allow for the application of mathematical concepts.

4. How do you define the dimensions of a mathematical space?

The dimensions of a mathematical space are defined by the minimum number of independent coordinates or variables needed to describe a point in that space. For example, a point in a 2-dimensional Euclidean space can be described using two coordinates (x,y), while a point in a 3-dimensional Euclidean space requires three coordinates (x,y,z).

5. Can a mathematical space have an infinite number of dimensions?

Yes, some mathematical spaces, such as Hilbert spaces, can have an infinite number of dimensions. In these spaces, the coordinates needed to describe a point are not limited to a finite number, but can be infinitely many. These types of spaces are often used in advanced mathematical theories and applications, such as quantum mechanics.

Similar threads

Replies
5
Views
776
Replies
8
Views
1K
  • Differential Geometry
Replies
21
Views
678
Replies
72
Views
4K
Replies
2
Views
731
  • Special and General Relativity
Replies
16
Views
1K
Replies
21
Views
2K
  • Special and General Relativity
Replies
25
Views
2K
  • Differential Geometry
Replies
3
Views
128
Back
Top