Taking the Trace of a Tensor Product

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Discussion Overview

The discussion revolves around the process of taking the trace of a tensor product, exploring different interpretations and methods. Participants examine the mathematical properties of traces in the context of tensors, including specific examples and theoretical implications.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants question whether the trace of a tensor product can be computed by taking the trace of each tensor individually and multiplying their traces, with conflicting views presented.
  • One participant asserts that the trace of a product is not the product of traces, emphasizing that the trace must be taken over specific indices.
  • Another participant supports the idea that for square matrices, the trace of the tensor product equals the product of their traces.
  • There is a discussion about the meaning of the term B^ac B_ac, with participants questioning whether this represents a contraction and how it relates to the concept of trace.
  • Participants explore the concept of tracefree tensors, noting that being tracefree means the trace is zero, and discussing the implications for antisymmetric tensors.
  • One participant mentions the derivation of Raychaudhuri's Equation, linking the discussion to broader applications in physics.

Areas of Agreement / Disagreement

Participants express multiple competing views regarding the computation of traces for tensor products, and the discussion remains unresolved with no consensus on the correct approach.

Contextual Notes

Some participants reference specific definitions and contexts from mathematical literature, such as Spivak's Calculus on Manifolds, which may influence their interpretations of tensor products and traces.

Who May Find This Useful

This discussion may be of interest to those studying advanced mathematics, particularly in the context of tensor analysis and its applications in physics, such as general relativity.

JasonJo
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Hey guys,

How exactly do you take the trace of a tensor product? Do I take the trace of each tensor individually and multiply their traces?

For example, how would I take the trace of this tensor product:

-B^{c}_b B_{ac}
 
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JasonJo said:
Hey guys,

How exactly do you take the trace of a tensor product? Do I take the trace of each tensor individually and multiply their traces?

For example, how would I take the trace of this tensor product:

-B^{c}_b B_{ac}

Hi JasonJo! :smile:

Isn't that just -gabBbcBac = BacBac ?
 
JasonJo said:
... Do I take the trace of each tensor individually and multiply their traces?...[/tex]
No! it's like matrices... the trace of a product is not the product of traces.
Now if you have a product of tensors which is an 1-1 tensor the trace is the contraction of these two indices, if you have more than 2 indices you must specify over which indices the trace must be done, and then you contract...
 
Yes, you can take the trace of each tensor individually and multiply their traces.
That is, Tr(A \Otimes B) = Tr(A)Tr(B)
 
locality said:
Yes, you can take the trace of each tensor individually and multiply their traces.
That is, Tr(A \Otimes B) = Tr(A)Tr(B)

No … it's as astros :smile: says:
astros said:
No! it's like matrices... the trace of a product is not the product of traces.

For example,
Code:
0 1
1 0
has trace 0, but its square has trace 2. :smile:
 
If you mean the tensor product defined as how it's defined at the beginning of Ch 4 of Spivak's Calculus on Manifolds, then yes what locality said is correct.
Let V be a Vector space over R
A k tensor on V is a multilinear map from V^k into R.
The tensor product \otimes of S:V^k -> R and T:V^l -> R is the map S\otimesT: V^(k+l) -> R defined by
S\otimesT(v_1,...v_k,...,v_(k+l)) = S(v_1,..v_k)*T(v_k+1,...,v_l).

In the special case S and T are square matrices,
tr(S\otimesT) = tr(S)tr(T)
 
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Vid said:
If you mean the tensor product defined as how it's defined at the beginning of Ch 4 of Spivak's Calculus on Manifolds, then yes what locality said is correct.

ah, but the OP's question was clearly about tensor product in the sense of contraction (analogously to matrix product :wink:), not in the ⊗ sense of Spivak. :smile:
 
tiny-tim said:
Hi JasonJo! :smile:

Isn't that just -gabBbcBac = BacBac ?

That makes sense. But then what do I do this the B^ac B_ac term? What exactly is this term? Am I contracting here? When do we know something has a trace?

And when we are taking traces of tensors, what does it mean to be tracefree? Are we referring to the antisymmetric part?

If anyone is wondering, I am trying to derive Raychaudhuri's Equation.
 
JasonJo said:
That makes sense. But then what do I do this the B^ac B_ac term? What exactly is this term? Am I contracting here?

If anyone is wondering, I am trying to derive Raychaudhuri's Equation.

BacBac is the "quadratic invariant" of the tensor.

It's a double contraction.

(It's a sort-of "trace of a trace", but I really don't think thinking of it like that helps at all)

It may help to look at http://en.wikipedia.org/wiki/Raychaudhuri's_equation#Mathematical_statement … are you trying to derive ω2 and σ2? :smile:
When do we know something has a trace?

And when we are taking traces of tensors, what does it mean to be tracefree? Are we referring to the antisymmetric part?

Tracefree simply means that the trace is zero.

An antisymmetric tensor must be tracefree, but not vice versa.

For example, the LHS of Einstein's field equations is Rij - (1/2)R gij, where Rij is the Ricci curvature tensor, which is symmetric, with 10 independent parameters, and R is its trace (a scalar, obviously only 1 parameter) … the tracefree part of Rij is Rij - (1/4)R gij, with 9 independent parameters, and the EFE can be written:

Rij - (1/4)R gij = 8π(Tij - (1/4)T gij)

and R = -8πT,

where the first line equates the tracefree parts, with 9 independent equations, and the second line (anti-)equates the traces, with just 1.
 

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