Orthonormal basis expression for ordinary contraction of a tensor

In summary: The theorem statement is saying that the contracted tensor C^1_l(A) is the same as the dual basis vector A(\theta^i,v_1,\ldots,v_s).
  • #1
Shirish
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I'm reading Semi-Riemannian Geometry by Stephen Newman and came across this theorem:

Orthonormal Basis Expression for Ordinary Contraction: Let ##(V,g)## be a scalar product space with signature ##(\epsilon_1, \ldots, \epsilon_n)##, and let ##(e_1,\ldots,e_n)## be an orthonormal basis for ##V##. If ##A\in\mathcal{T}^1_s(V)## (where ##s\geq 2)## and ##l<s##, then the tensor ##C^1_l(A)\in\mathcal{T}^0_{s-1}(V)## is given by: $$C^1_l(A)(v_1,\ldots,v_{s-1})=\sum_i\epsilon_i\langle\mathcal{R}^{-1}_s(A)(v_1,\ldots,v_{l-1},e_i,v_{l+1},\ldots,v_{s-1}),e_i\rangle$$

For context, ##\mathcal{R}_s:Mult(V^s,V)\to\mathcal{T}^1_s## is the representation map, which acts like this:
$$\mathcal{R}_s(\Psi)(\eta,v_1,\ldots,v_s)=\eta(\Psi(v_1,\ldots,v_s))$$
I don't understand the importance of the relation that the author is trying to prove here - it seems kind of irrelevant. Judging from the name of the theorem, shouldn't it be sufficient to figure out ##C^1_l(A)(e_{j_1},\ldots,e_{j_{s-1}})##, i.e. the components of the contracted tensor w.r.t. different combinations of orthonormal basis vectors? And indeed this is what the author does in the first 2 lines of the proof.

But why are we going overboard to get the result in the theorem statement? Does it mean something significant?
 
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  • #2
Shirish said:
But why are we going overboard to get the result in the theorem statement? Does it mean something significant?
It gives you the contraction evaluated at any vectors. Of course it is enough to know it for basis vectors, but this is more general and equally easy.
 
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  • #3
martinbn said:
It gives you the contraction evaluated at any vectors. Of course it is enough to know it for basis vectors, but this is more general and equally easy.
Sorry if I sound ignorant since I'm completely new to these topics. To me the most intuitive form of the general case is:
$$C^1_l(A)(v_1,\ldots,v_{s-1})=A(\theta^i,v_1,\ldots,v_{l-1},e_i,v_l,\ldots,v_{s-1})$$
where ##\theta^i## is the dual basis vector corresponding to ##e_i##.

I guess the RHS in the equation in the theorem is because we don't even want to see ##\theta^i##, so we use the elaborate construction to get rid of it and just have an RHS in terms of ##e_i##'s?
 

1. What is an orthonormal basis?

An orthonormal basis is a set of vectors in a vector space that are all mutually orthogonal (perpendicular) and have a length of 1. This means that each vector is independent from the others and they form a complete basis for the vector space.

2. How is an orthonormal basis used in tensor contraction?

In tensor contraction, an orthonormal basis is used to simplify the expression of a tensor. By using an orthonormal basis, the tensor can be expressed as a sum of products of basis vectors and coefficients, making calculations and manipulations easier.

3. What is the ordinary contraction of a tensor?

The ordinary contraction of a tensor is a mathematical operation that involves summing over a pair of indices and replacing them with a single index. This results in a tensor with one less index than the original tensor.

4. Why is an orthonormal basis preferred in tensor contraction?

An orthonormal basis is preferred in tensor contraction because it simplifies the expression of the tensor and makes calculations easier. It also allows for a clearer understanding of the geometric properties of the tensor.

5. Can an orthonormal basis be used in any vector space?

Yes, an orthonormal basis can be used in any vector space that has a defined inner product. This includes both finite and infinite-dimensional vector spaces.

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