Original motivation of differential geometry

In summary, the motivation for differential geometry is to study the intrinsic geometry of surfaces, which is different from the Euclidean geometry that most people are used to.
  • #1
Terilien
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What orginally motivated the field of differential geometry?
 
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  • #2
I'm not sure, but I think it was the desire to study the "intrinsic" geometry of surfaces -- e.g. to study a sphere as an object in its own right, rather than as a subset of Euclidean 3-space.
 
  • #3
Terilien said:
What orginally motivated the field of differential geometry?
Beautiful shape of a potato !:rofl:
 
  • #4
I think the motivation for differential geometry becomes clear when one stops indentifying R^n with E^n (incorrectly). Euclidean space is defined by a set of axioms and is actually not even a vector space (it's affine space). Some time between high school and college most people identify R^n with E^n and take differentiation and integration in E^n for granted. What we are actually doing is identifying inner product space R^n with E^n and a coordinate system. So, if we want to do differentiation and integration in a curved space we identify a neighbourhood of the curved space and a map with with the inner product space R^n. The curved space with all such maps is the manifold. Differential geometry just involves studying how to do the familiar differentiation and integration in this new creature.

At least, that is my understanding.
 
  • #5
asub said:
I think the motivation for differential geometry becomes clear when one stops indentifying R^n with E^n (incorrectly). Euclidean space is defined by a set of axioms and is actually not even a vector space (it's affine space). Some time between high school and college most people identify R^n with E^n and take differentiation and integration in E^n for granted. What we are actually doing is identifying inner product space R^n with E^n and a coordinate system. So, if we want to do differentiation and integration in a curved space we identify a neighbourhood of the curved space and a map with with the inner product space R^n. The curved space with all such maps is the manifold. Differential geometry just involves studying how to do the familiar differentiation and integration in this new creature.

At least, that is my understanding.

I didn't really know that. Thanks!
 
  • #6
asub said:
I think the motivation for differential geometry becomes clear when one stops indentifying R^n with E^n (incorrectly). Euclidean space is defined by a set of axioms and is actually not even a vector space (it's affine space).
[/quite]It appears that you may be off as to the definition of affine space? Please see - http://mathworld.wolfram.com/AffineSpace.html

The difference between Rn and En is that En is what you get when you add a metric to the space.


Pete
 
  • #7
money, fame, sex. these are the prime motivators.
 
  • #8
Hey bizzaro wonk, long time no see.
 
  • #9
haaahaaahaa
 
  • #10
pmb_phy said:
asub said:
It appears that you may be off as to the definition of affine space? Please see - http://mathworld.wolfram.com/AffineSpace.html

The difference between Rn and En is that En is what you get when you add a metric to the space.


Pete

E^n is not what you add a metric to R^n. Please see Boothby (2ed, p. 4) for a discussion of this (he says that most texts give the same incorrect definition that you are using).

An affine space is a space without the origin, but with most of the nice properties of vector spaces. In particular, you cannot add points in an affine space. I don't see how Mathworld and I disagree.
 
  • #11
asub said:
pmb_phy said:
E^n is not what you add a metric to R^n. Please see Boothby (2ed, p. 4) for a discussion of this (he says that most texts give the same incorrect definition that you are using).

An affine space is a space without the origin, but with most of the nice properties of vector spaces. In particular, you cannot add points in an affine space. I don't see how Mathworld and I disagree.

It's what my prof. described to me. Exactly what you're saying.
 
  • #12
asub said:
E^n is not what you add a metric to R^n. Please see Boothby (2ed, p. 4) for a discussion of this (he says that most texts give the same incorrect definition that you are using).
Sorry but I don't have that text. The texts I do have contradict what you and your source(s) are trying to say. My sources (i.e. texts/other physicists) are differential geometry texts, GR texts and I just got a new text on topology which aslo agrees with my other sources.

Here are a few select sources -

Gravitation, Misner, Thorne and Wheeler

Geometrical Methods of Mathematical Physics, Bernard F. Schutz

Topology, Dugundji

Pete
 
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  • #13
R is a highly overloaded symbol. It is generally cumbersome to distinguish between R the affine space, R the vector space, R the topological space, R the differentiable manifold, R the complete ordered field, R the set, R the Lie group, et cetera. So, we streamline our thinking by letting R denote any of those things that is appropriate at the time -- and only wait until such distinctions are necessary before fixing exactly what we mean by R.
 
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  • #14
Hurkyl said:
R is a highly overloaded symbol. It is generally cumbersome to distinguish between R the affine space, R the vector space, R the topological space, R the differentiable manifold, R the complete ordered field, R the set, R the Lie group, et cetera. So, we streamline our thinking by letting R denote any of those things that is appropriate at the time -- and only wait until such distinctions are necessary before fixing exactly what we mean by R.

It's been well over 15 years since I took abstract and linear algebra. In the last 10 years I've only seen Rn used for to mean the collection of all n-tuples. If the symbol is used in other places besides differential geometry and tensor analysis then I have no recollection of it. I have a few abstract algebra texts so I'll take a gander. But I doubt that all possible groups have a metric and thus doesn't apply in the sense we've been talking about. Perhaps I'll learn something new today by doing this. :)


Note to asub: I wanted to make a point, the main purpose being that I don't want to come across as being "stuffy" or whatever. I'm not sure how I came across in my post to you. What I had neglected to mention was a very important fact: Because one author says that other authors define something incorrectly can only be taken to mean that the authors disagree on the definition. It cannot be taken to mean that one is right and the other wrong. One may be more popular than another. One may be so unpopular that it doesn't get past the editor. But the way I've always interpreted this has come from my GR professor, GR experts that I know and, as I mentiond before, the texts that I read. I'm also willinbg to scan in the page of any text I referenced so that you can read exactly what I read and in the context I read it. Upon yours or someone elses request that is.

Best wishes
Pete
 
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  • #15
pmb_phy said:
In the last 10 years I've never seen Rn used for anything other than the collection of all n-tuples.
The collection of all n-tuples is (usually) very uninteresting, and is almost never what's meant by R^n -- that is merely the underlying set for the things we really think are interesting, like R^n the differentiable manifold, or R^n the topological space, or R^n the vector space, or R^n the commutative ring, or ...
 
  • #16
Hurkyl said:
The collection of all n-tuples is (usually) very uninteresting, and is almost never what's meant by R^n ...
Are you pulling my leg?? let me tell you the first line in Schutz's math text that I mentioned above. From page 1
The space Rn is the usual n-dimensional space of vector algebra: a point in Rn is a sequence of n real numbers (x1, x2, ... , xn), also called an n-tuple of real numbers. Intuitively we have the idea that this is a continuous space, that there are points of Rn arbitrarily close to any given point, that a line joining any two points can be subdivided into arbitrarily many pieces that also join points in Rn.

As another example consider the text Elementary Linear Algebra, by Howard Anton. In sectoipon 4.1 "Euclidean n-space[/i]" which reads on page 133
Definition. If n is a positive integer, then the ordered-n-tuple is a sequence of real numbers (a1. a2, ... , an). The set of all ordered n-tuples is called n-space and is denoted by Rn
I take these identical definitions of Rn as the definition of Rn, especially since it agrees with every other text I have (except for one). Even Einstein defined Euclidean space in this manner in his renowned textbook The Meaning of Relativity.

Pete

ps - To all posters - If you have a solid reference to a text that I have then please let me know so that you can send or post exactly what it states on this. You've got me curious now.
 
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  • #17
pmb_phy said:
Are you pulling my leg?? let me tell you the first line in Schutz's math text that I mentioned above. From page 1
And right there in the first page, we see Schutz not talking merely about a set of n-tuples, but also of a topology (close to) on that set of n-tuples, and an affine structure (line) on that set of n-tuples. This set together with this additional structure is what he denotes as Rn.
 
  • #18
Hurkyl said:
And right there in the first page, we see Schutz not talking merely about a set of n-tuples, but also of a topology (close to) on that set of n-tuples, and an affine structure (line) on that set of n-tuples. This set together with this additional structure is what he denotes as Rn.
The topology is established when you establish a metric. Why you mention a line is beyond me. Schutz was merely using it to make a point about closeness of points.

Pete
 
  • #19
pmb_phy said:
The topology is established when you establish a metric.
Sure, but the collection of n-tuples doesn't have a metric. It's just a collection of n-tuples. A metric space is a set of points together with additional structure -- in this case, a metric.
 
  • #20
Hurkyl said:
Sure, but the collection of n-tuples doesn't have a metric. It's just a collection of n-tuples. A metric space is a set of points together with additional structure -- in this case, a metric.
That was the entire point I was trying to make. I guess it got lost in the noise.

Best regards

Pete

ps - Since I really hate debating definitions I won't be posting any more in this thread. Thanks everyone for your thoughts.
 
  • #21
Hi pmb_phy, sorry for being pedantic, but I guess this thread is about being pedantic :)

When I was pointing out Boothby's book, I was not pointing out his definition of Euclidean space--after all it was defined by Euclid. And Euclid's definition of E^2 has nothing to do with numbers or ordered pairs. It is only concerned about points, lines, triangles, parallelograms, etc. and proving their properties without the use of coordinates. Boothby gives a discussion and some historical perspective about this issue in the chapter.

My main gripe is not that R^n is sometimes used as E^n--they are just symbols. My problem is with the idea that a vector space with metric defined by n-tuple of numbers is equivalent to a Euclidean space. First of all, Euclidean space has no axes. And the vector space has no objects such as lines, planes, spheres, etc.

I will quote few sentences from Boothby:

``The identification of R^n and E^n came about after the invention of analytic geometry by Fermat and Decartes and was eagerly seized upon since it is very tricky and difficult to give a suitable definition of Euclidean space, of any dimension, in the spirit of Eulid, that is, by giving axioms for (abstract) Euclidean space as one does for abstract vector spaces. This difficulty was certainly recognized for a very long time, and has interested many great mathematicians.[...]A careful axiomatic definition of Euclidean space is given by Hilbert.[...] It is the existence of such coordinate mappings which make the identification of E^2 and R^2 possible. But caution! An arbitrary choice of coordinates is involved, there is no natural, geometrically determined way to identify the two spaces. Thus at best, we can say that R^2 may be identified with E^2 plus a coordinate system.''
 
  • #22
hmmmmmmm...

"inky dinky doo, was the highly interesting song that he sang.." humphrey bogart.
 
  • #23
Hurkyl said:
The collection of all n-tuples is (usually) very uninteresting, and is almost never what's meant by R^n -- that is merely the underlying set for the things we really think are interesting, like R^n the differentiable manifold, or R^n the topological space, or R^n the vector space, or R^n the commutative ring, or ...
You're argument consists entirely of definitions that I have no access to. My references agree with what I've posted as far as definitions go and that includes what Rn. An argument that consists totally of "is almost never what's meant by ..." is hardly an argument at all. The rest is beyond my recollection since its been close to two decades since I've studied this material other than that found in tensor analysis books like Schutz etc.

Since I've reached a point of saturation where I can't see of me posting of anything more than I already have I will not post again in this thread and will respond only in PM.

Thank you.

Pete
 
  • #24
pete, i think you and hurkyl are just speaking a different vocabulary here, you are both right, but not meshing.
 
  • #25
pmb_phy said:
An argument that consists totally of "is almost never what's meant by ..." is hardly an argument at all.
That wasn't an argument; it was a statement of fact.

Frankly, I'm confused as to what point you're trying to make. In #20 you seem to agree that R^n (generally) isn't used to refer to a mere set, but instead to refer to a set together with additional structure, so it's unclear why you appear to be opposing my point.My best guess (which is based on trying to figure out why you're arguing, rather than the content of your posts) is that you are trying to insist that people only ever use R^n to refer to the thing Schutz defined, and they never use that symbol to refer to anything else. (Note that that quote doesn't even say if he's defining a vector space, a topological space, a differentiable manifold, or even a mere set of points. Not having the text, I can't look it up) I don't know what to say except that in my experience studying and practicing mathematics, I've seen the symbol used for whichever of those (closely related) structures is the kind of object under study. E.g. when doing set theory, one would use R to denote a certain set, and R^n to denote the set of n-tuples with components in R. But when doing linear algebra, one would use R to denote a certainl field, and R^n to denote the (usual) (real-)vector space structure on the set of n-tuples.
 
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  • #26
Whoops, didn't mean to hit delete! One shouldn't moderate late at night. :redface: Thread restored.
 

1. What is the origin of differential geometry?

The origin of differential geometry can be traced back to the work of ancient Greek mathematicians, such as Euclid and Pythagoras, who studied the properties of shapes and curves in two and three-dimensional space. However, the modern development of differential geometry is credited to the 18th and 19th century mathematicians, such as Leonhard Euler, Carl Friedrich Gauss, and Bernhard Riemann, who developed the concept of curved space and its applications to physics and mathematics.

2. What motivated the development of differential geometry?

One of the main motivations for the development of differential geometry was the need to understand and describe curved surfaces and spaces. This was important in the fields of astronomy, physics, and engineering, where curved surfaces and spaces were encountered. Another motivation was to generalize the concepts of geometry and calculus to curved spaces, which led to the development of new mathematical tools and techniques.

3. What are the main applications of differential geometry?

Differential geometry has numerous applications in various fields, including physics, engineering, computer graphics, and robotics. It is used to model and analyze physical systems with curved surfaces, such as the motion of planets and satellites in space. It is also used in the design of curved structures, such as bridges and buildings, and in the development of computer algorithms for creating and manipulating 3D objects.

4. How does differential geometry relate to other branches of mathematics?

Differential geometry is closely related to other branches of mathematics, such as calculus, algebra, and topology. It uses concepts and techniques from these fields to study the properties of curved spaces and surfaces. In particular, it is closely connected to differential calculus, which is used to study the behavior of functions on curved spaces.

5. What are some open problems in differential geometry?

There are several open problems in differential geometry, including the classification of all possible curved spaces and surfaces, the study of their intrinsic properties, and the development of new techniques for solving differential equations on curved spaces. Another open problem is the reconciliation of differential geometry with quantum mechanics, which is an ongoing topic of research in theoretical physics.

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