Is This Contraction of a Tensor Allowed?

In summary, the conversation discusses the difference between two correct contractions of a scalar ##S=A^{\alpha}_{\beta}B^{\beta}_{\alpha}##. The first contraction, ## A^a_a B^b_b ##, is the product of two scalars, while the second, ## A^a_bB^b_a ##, involves contracting a fourth order tensor twice. This leads to a difference in the resulting expressions, as illustrated in matrix language.
  • #1
Physicist97
31
4
Say you have a scalar ##S=A^{\alpha}_{\beta}B^{\beta}_{\alpha}## . Since this just means to sum over ##{\alpha}## and ##{\beta}## , is it allowable to rewrite it as ##S=A^{\alpha}_{\alpha}B^{\beta}_{\beta}## . I don't see anything wrong with this, I simply rewrote the dummy indices, but since I am not by far an expert I would like some confirmation.
 
Physics news on Phys.org
  • #2
They're both correct contractions but not equal to each other.
More precisely, ## A^a_a B^b_b ## is the product of two scalars.
But ## A^a_bB^b_a ## is different. Consider the tensor ## S^{ad}_{bc}=A^a_b B^d_c ##. Now if I contract a with c and b with d, I get## A^a_bB^b_a ##. So here you're contracting a fourth order tensor twice, instead of multiplying two scalars where each is a contracted 2nd rank tensor.
 
  • Like
Likes Physicist97
  • #3
Suppose e.g. that the indices run from 0 to 1. Then the former means ##A^0_0 B^0_0+ A^0_1B^1_0 +A^1_0B^0_1+A^1_1B^1_1## and the latter means ##(A^0_0+A^1_1)(B^0_0+B^1_1)##, which is equal to ##A^0_0B^0_0+A^0_0B^1_1+A^1_1B^0_0+A^1_1B^1_1##. The difference is ##A^0_1B^1_0+A^1_0B^0_1-A^0_0B^1_1-A^1_1B^0_0##. This isn't always zero.
 
  • Like
Likes Physicist97
  • #4
Thanks for the quick replies. I understand now the mistake I made when I assumed the indices could be exchanged just because they were dummy indices.
 
  • #5
In matrix language,
the first is Trace(AB), and the second is Trace(A)Trace(B), which are generally not equal.
 
  • Like
Likes Physicist97

Related to Is This Contraction of a Tensor Allowed?

1. What is a tensor?

A tensor is a mathematical object used to describe physical quantities, such as forces and velocities, in a coordinate-independent manner. It is represented by a multi-dimensional array of numbers that transforms in a specific way under coordinate transformations.

2. What is a tensor contraction?

A tensor contraction is an operation that involves summing over one or more indices of a tensor, resulting in a new tensor with fewer dimensions. It is often used to simplify calculations and express relationships between different components of a tensor.

3. Why do we need to contract tensors?

Contracting tensors allows us to express complicated relationships between different components of a tensor in a simpler form. It also helps us to reduce the number of calculations needed in certain problems, making them more manageable and efficient.

4. Is there a specific rule for tensor contraction?

Yes, there is a specific rule for tensor contraction known as the Einstein summation convention. This convention states that when an index appears twice in a term, once as a subscript and once as a superscript, it is implied that a summation is performed over that index. This simplifies notation and avoids writing out long sums.

5. How do we know if a contraction of a tensor is allowed?

In general, a contraction of a tensor is allowed if the resulting tensor has well-defined transformation properties and can be expressed in a coordinate-independent manner. It is important to follow the rules of tensor algebra and keep track of indices to determine if a contraction is allowed.

Similar threads

  • Differential Geometry
Replies
29
Views
2K
  • Differential Geometry
Replies
3
Views
3K
  • Differential Geometry
Replies
3
Views
1K
  • Special and General Relativity
Replies
3
Views
161
Replies
6
Views
2K
Replies
3
Views
4K
Replies
17
Views
2K
Replies
3
Views
645
  • Differential Geometry
Replies
3
Views
1K
  • Calculus and Beyond Homework Help
Replies
5
Views
1K
Back
Top