Understanding Well-Defined Tensor on Manifold: Basic Concepts

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SUMMARY

A tensor field is considered 'well-defined' on a manifold when it adheres to specific transition laws in overlapping regions of coordinate patches. This means that the tensor must maintain invariance under changes in coordinate systems, ensuring that its representation remains consistent across different patches. The definition of a vector field on a smooth manifold involves associating a tangent vector at each point, and a tensor is indirectly defined through the tensor transformation law, which governs the relationship between different coordinate systems. Understanding these concepts is crucial for grasping the foundational aspects of tensor analysis on manifolds.

PREREQUISITES
  • Understanding of smooth manifolds and their structure
  • Familiarity with tensor transformation laws
  • Knowledge of coordinate systems and their role in differential geometry
  • Basic concepts of vector fields and tangent spaces
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  • Study the properties of smooth manifolds and their atlases
  • Learn about tensor transformation laws in detail
  • Explore the relationship between vector fields and tangent spaces on manifolds
  • Investigate the implications of coordinate invariance in tensor analysis
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Mathematicians, physicists, and students of differential geometry who are looking to deepen their understanding of tensors and their applications on manifolds.

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I'm trying to understand what exactly it means by some tensor field to be 'well-defined' on a manifold. I'm looking at some informal definition of a manifold taken to be composed of open sets ##U_{i}##, and each patch has different coordinates.

The text I'm looking at then talks about how in order for a tensor field to be defined globally there are certain transition laws that must be obeyed in intersecting regions of ##U_{i}##

From this, my interpretation of well-defined is that you have in variance in certain patches, and so because each patch has its own coordinates, you have in variance in any coordinates. So, a tensor means you have invariance with respect to a change in coordinate system?Are these thoughts correct?

Is this literal agreement? I.e- the value of a scalar? the components of a matrix (representing a tensor as a matrix)?

Thanks in advance.
 
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To say that something is "well defined" typically means that whatever you have previously said about it is sufficient to actually define it. So you may need to tell us that we what said previously.

I will make a guess based on what you said. I would define a vector field on a smooth manifold ##M## as a function that associates a tangent vector at p with each ##p\in M##. It sounds like their version of this is a function that associates an n-tuple of real numbers with each pair ##(p,x)## such that ##x:U\to\mathbb R^n## is a coordinate system such that ##p\in U\subseteq M##. This type of function indirectly defines a tensor, if and only if for all ##p\in M## and all coordinate systems ##x:U\to\mathbb R^n## and ##y:V\to\mathbb R^n## such that ##p\in U\cap V##, the relationship between the n-tuple associated with ##(p,x)## and the n-tuple associated with ##(p,y)## is given by the tensor transformation law.
 
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Neither coordinates nor the definition of a manifold using an atlas of charts is relevant here. If all you want to do is define what it means for a tensor to be well-defined on a manifold, all you need to consider is the manifold as a point-set; the tensor just has to be defined at every point in the point-set. (Of course, if the tensor has rank>0, then you need enough of the manifold structure to be able to define a tangent space.)
 

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