Manifold Question: Tensor Analysis for Beginners

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In summary, a manifold is a space that can be continuously parameterized, or in other words, a set of points where every point has an open neighborhood homeomorphic to Rn. Manifolds with metrics are a specific example of manifolds, but a metric is not necessary for a manifold to be a manifold. The metric tensor field defines the scalar product at each point on the manifold, but it does not define the manifold itself. A manifold is locally Euclidean, meaning that for every point there is a neighborhood that can be treated as Euclidean space. In general relativity, this means that the laws of special relativity are true locally. Manifolds can also have additional structures such as vector fields, covector fields,
  • #1
waht
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Is the manifold a space defined by the metric tensor or is it a completetly different thing. I'm new to tensor analysis though.

Thanks.
 
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  • #3
No, infact a manifold doesn't necessarily need to have a (global) metric dfeined in order to be a manifold! A manifold is basically anything that can be continously parameterized or more formally, is a set of points where every point has an open neighbourhood that is homeomorphic to Rn (where n is the dimension of the manifold). The metric tensor field defines the scalar product at each point on a manifold, it doesn't define the manifold as a manifold is still a manifold whether the scalar product is defined or not.
 
  • #4
For comfort, think about manifold as a curve or surface embedded in 3D space. And work hard to know everything about those stuff including n-D hypersurfaces, Gauss curvature, Riemannian curvature, and parallel transport, you be ready to step up to the manifold's world without metric.
 
  • #5
Actually gvk things like curvature and parallel transport dpend on the properties of the metric tensor, a mainofld at it's most basic is really just a set o fpoitns where for each point we have set of other points which are 'near to it'.
 
  • #6
re

that makes more sense now, so basically the parametric equations define a manifold.

"Actually gvk things like curvature and parallel transport dpend on the properties of the metric tensor, a mainofld at it's most basic is really just a set o fpoitns where for each point we have set of other points which are 'near to it "

and the wolfram describes the manifold as a topological space that is locally Euclidean.

I don't get this part.
 
  • #7
Okay by locally Eudlidean what is meant that for every point on the mainfold there is also a neighbourhood (if you like all the points that are less than x distance away) which is Euclidean, i.e. we can if we like treat this neighbourhood just like normal Euclidean space. So for example in general relativity the laws of special relativity are not true in a general sense but thanks to the fact that spavcetime is represnted by a manifold they are always true locally (i.e. they are true as long as we only talk about a small region of spacetime).
 
  • #8
I agree that a manifold is a topological space (by introducing open sets) that locally lokes like the euclidian space.
In my opinion you introduce (if you want it ar not) the standard metric with this last restriction(lokes like the euclidian space) in the topological space. I agree that at this level of the manifold you don' t use it. But when you define a calculus on that manifold you use the fact that the euclidian space is equiped with the standard metric.
 
  • #9
an example of a manifold is a sphere.

If you include also the family of tangent planes to the sphere and a smoothly varying dot product on all these planes, you have a (Riemannian) metric.

a family of velocity vectors, v(p), one at each point p of the sphere, is an example of a "vector field".

The family of linear functionals, <v(p), > on tangent vectors defined by a vector field and a dot product, is an example of a "covector" field.

The family of dot products itself < , >(p), is an example of a "tensor field".

so naturally if you view your original sphere as embedded in three space, then the planes and dot product come along for free, and you do not notice they are extra structure.

And by the way, you do not need a metric to do calculus on a manifold, at least not to define derivatives, velocity vectors, and integrate differential forms. Only to measure arc lengths and curvature, volume, etc...
 
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1. What is tensor analysis?

Tensor analysis is a branch of mathematics that deals with the manipulation and study of tensors, which are mathematical objects that describe the relationships between vectors and other geometric quantities in a multi-dimensional space.

2. Why is tensor analysis important?

Tensor analysis is important because it provides a powerful mathematical tool for understanding and studying complex systems, such as those found in physics and engineering. It also allows for the generalization of vector and matrix operations to higher dimensions, making it useful in fields like computer graphics and machine learning.

3. What are some real-world applications of tensor analysis?

Tensor analysis has various applications in fields such as physics, engineering, and computer science. Some examples include fluid dynamics, elasticity, electromagnetism, and image processing.

4. Is tensor analysis difficult to learn?

Tensor analysis can be challenging for beginners due to its abstract nature and use of advanced mathematical concepts. However, with proper instruction and practice, it can be learned and applied effectively.

5. How can I get started with learning tensor analysis?

To get started with learning tensor analysis, it is important to have a solid understanding of linear algebra and multivariable calculus. There are also many books, online resources, and courses available that can help beginners learn the basics of tensor analysis. It is important to practice solving problems and applying the concepts to real-world situations to fully grasp the subject.

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