Tensors with both covariant and contravariant components

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Discussion Overview

The discussion revolves around the concept of tensors with both covariant and contravariant components, particularly in the context of General Relativity (GR). Participants explore the definitions, properties, and implications of such tensors, as well as their relationship to tangent vector spaces and manifolds.

Discussion Character

  • Exploratory, Technical explanation, Conceptual clarification, Debate/contested

Main Points Raised

  • One participant expresses confusion about how a single tensor can have both covariant and contravariant indices, seeking clarification on the concept.
  • Another participant introduces the idea of a type (1,1) tensor as a linear map from the tangent vector space to itself, prompting further inquiry.
  • A participant clarifies that the underlying manifold has the tangent vector space, not the tensor itself, and explains the transformation properties of type (1,1) tensors.
  • There is a discussion about the Kronecker delta being an example of a type (1,1) tensor, which has one covariant and one contravariant index.
  • One participant suggests that a tensor could represent a mixture of contravariant and covariant indices, using distances or volumes and rates or densities as examples.
  • A participant emphasizes the importance of understanding manifolds and tangent vectors when studying GR.
  • Another participant provides a definition of tensors as multilinear maps involving vector spaces and their duals, relating this to tensor fields in differential geometry.

Areas of Agreement / Disagreement

Participants exhibit a mix of understanding and confusion regarding the nature of tensors with both covariant and contravariant components. While some definitions and examples are provided, there is no consensus on the clarity of these concepts or their implications.

Contextual Notes

Some participants express uncertainty about the definitions and properties of tensors, tangent vector spaces, and manifolds, indicating a need for further exploration of these foundational concepts.

noahcharris
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Hey all, I'm just starting into GR and learning about tensors. The idea of fully co/contravariant tensors makes sense to me, but I don't understand how a single tensor could have both covariant AND contravariant indices/components, since each component is represented by a number in each index. And yet there must be a mixture of sorts because of all the upper/lowercase indices in GR. Any illumination would be much appreciated, thanks!
 
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Are you familiar with and understand how a type (1,1) tensor is a linear map from the tangent vector space to itself?
 
Orodruin said:
Are you familiar with and understand how a type (1,1) tensor is a linear map from the tangent vector space to itself?

I was not aware of that. Could you explain further or perhaps point me towards the right resources? I don't understand what it means for a tensor to have a tangent vector space. -_-
 
The tensor does not have a tangent vector space, the underlying manifold does. Tangent vectors are what you would also call vectors or contravariant vectors. A linear map from the tangent vector space at a point of the manifold to itself is a type (1,1) tensor - it must be for the vectors to have the correct transformation properties.
 
Orodruin said:
The tensor does not have a tangent vector space, the underlying manifold does. Tangent vectors are what you would also call vectors or contravariant vectors. A linear map from the tangent vector space at a point of the manifold to itself is a type (1,1) tensor - it must be for the vectors to have the correct transformation properties.

What does it mean for a tensor to have an underlying manifold? And I would think that a linear mapping from a point to a point in vector space would simply be the kronecker delta, but maybe that is a type (1,1) among others?
 
If you are studying GR you should be familiar with the concept of a manifold and vectors on the manifold, that is what we are dealing with is it not?

Yes, the Kronecker delta is a prime example of a type (1,1) tensor - it has one covariant and one contravariant index, but far from the only one.
 
Tensors are multilinear maps ##T:V^*\times\cdots\times V^*\times V\times\cdots\times V\to\mathbb R##, where V is a vector space and V* its dual space. In GR, and in differential geometry in general, V is the tangent space ##T_pM## of a smooth manifold M, at a point p in M. A tensor field is a map that takes each point p (in some subset of M) to a tensor at p.
 
I think that if you had a tensor where some indices were for distances or volumes (dx) and other indices were for rates or densities ( ∂y/∂x ), then the tensor would be a mixture of contravariant (dx) and covariant ( ∂y/∂x ). I am not well versed on this subject, so I don't have any real-world examples.
 

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