Counting Degrees of Freedom in Tensor

In summary, In 2-dimensions, a tensor with n indices has 2^{n} degrees of freedom. The symmetry provided by the hypothesis of symmetry reduces the number of degrees of freedom by n!-1. However, tracelessness reduces the number of degrees of freedom by \binom{n}{2}. The number of independent relations is 2^n.
  • #1
"pi"mp
129
1
I've been thinking about the number of degrees of freedom in a tensor with n indices in 2-dimensions which is traceless and symmetric. Initially, there are [itex] 2^{n} [/itex] degrees of freedom. The hypothesis of symmetry provides n!-1 number of conditions of the form:

[tex] T_{i_{1}, \ldots i_{n}}- T_{\sigma i_{1}, \ldots \sigma i_{n}} =0 [/tex]

since there are n! permutations, including identity. So why doesn't this reduce the number of degrees of freedom by n!-1 ? Are these conditions not all independent?

I think I'm correct that tracelessness reduces the degrees of freedom by [itex] \binom{n}{2} [/itex] since we choose two indices to contract with [itex] g^{ab} [/itex], but maybe not.
 
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  • #2
"pi"mp said:
Are these conditions not all independent?
If a tensor is symmetric in the first and second index as well as in the first and third, is it symmetric in the first and third?
 
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  • #3
Ah right, I did not think about that. So as far as transpositions go, I need only consider the n-1 permutations that interchange 1,2 then 2,3 then 3,4, so on and so forth. I'm trying to think how this generalizes to other permutations. For permutations that are the identity on all but three of the indices, is it enough to consider those that permute 1,2,3 then 2,3,4 then...so on and so forth. Will I simply end up with (n-1)(n-1) independent conditions when all is said and done? I'm not at all confident that I'm thinking about these higher order permutations correctly.
 
  • #4
"pi"mp said:
So as far as transpositions go, I need only consider the n-1 permutations that interchange 1,2 then 2,3 then 3,4, so on and so forth. I'm trying to think how this generalizes to other permutations.
Think about the following:
##
A_{ijk} = A_{jik} = A_{kij}
##
Which symmetries did I use? What was the final result?

Once you are done thinking about the permutations, think about how many identities there really are for the trace.
 
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  • #5
It appears you used symmetry under exchange the first two indices as well as cyclic symmetry. Combined, it appears they imply symmetry of the last two indices. Is that right?
 
  • #6
"pi"mp said:
It appears you used symmetry under exchange the first two indices as well as cyclic symmetry. Combined, it appears they imply symmetry of the last two indices. Is that right?

No. For the second equality, the middle index is fixed. I therefore used symmetry between 12 and between 13 to imply cyclic symmetry (the last component is a cyclic permutation of the original one). What does this tell you about the permutation symmetry group?
 
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  • #7
Does it tell you that the full symmetry group of order 3! is generated by the two transpositions you use?
 
  • #8
"pi"mp said:
Does it tell you that the full symmetry group of order 3! is generated by the two transpositions you use?

Yes. So what is the generalisation of this result to a rank n tensor?
 
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  • #9
Well it seems there are n-1 independent transpositions, and since any permutation can be decomposed from a even or odd product of transpositions, is the symmetry group of a rank n tensor generated by n-1 elements?
 
  • #10
"pi"mp said:
is the symmetry group of a rank n tensor generated by n-1 elements?

Very much so. You can write any permutation using repetitions of n-1 generators. These may be chosen as the swaps of the ith and (i+1)th indices or as the swaps of the 1st and ith indices.

What does this tell you about the number of independent relations? What does it imply for the trace conditions?
 
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  • #11
Orodruin said:
What does this tell you about the number of independent relations?

Doesn't it just tell us that there are n-1 independent relations?

Orodruin said:
What does it imply for the trace conditions?

Well, assuming we've properly subtracted away all DOF due to symmetry considerations, then we need only take one more away for tracelessness, it seems? We choose two indices to contract with the metric g and once we do this, we can move these indices anywhere we please thanks to the symmetry.
 
  • #12
"pi"mp said:
Doesn't it just tell us that there are n-1 independent relations?

How many relations is ##A_{ijk} = A_{jik}##?
Well, assuming we've properly subtracted away all DOF due to symmetry considerations, then we need only take one more away for tracelessness, it seems? We choose two indices to contract with the metric g and once we do this, we can move these indices anywhere we please thanks to the symmetry.

How many relations is ##A_{iij} =0##?
 
  • #13
Orodruin said:
How many relations is Aijk=AjikA_{ijk} = A_{jik}?

Right, I forgot index values. So I guess we scrap the cases where i=j since the relations are trivial in this case. So it seems we only have two if we're working in two dimensions.
[tex] A_{121}=A_{211} [/tex]
[tex] A_{122}=A_{212} [/tex]

So maybe in general, for a fixed transposition, we initially have 2^n conditions but we must subtract off those where the two indices are the same. I believe there are [itex] 2\cdot 2^{n-2} [/itex] of these. So I guess there are [itex] 2^{n}-2^{n-1}-2 [/itex] symmetry conditions in total?
Orodruin said:
How many relations is Aiij=0A_{iij} =0?

There appears to be 4 of these. Maybe in general there are [itex] 2 \cdot 2^{n-2} [/itex] of these? Assuming that we've already subtracted away the symmetry degrees of freedom.
 
  • #14
"pi"mp said:
Right, I forgot index values. So I guess we scrap the cases where i=j since the relations are trivial in this case.

Correct, when ##i = j## the relation is just a tautology. This leaves one possible relation for each set of the remaining indices - in this case two.

"pi"mp said:
So maybe in general, for a fixed transposition, we initially have 2^n conditions but we must subtract off those where the two indices are the same.

Remember that ##A_{12j} = A_{21j}## gives you exactly the same information as ##A_{21j} = A_{12j}##.

I suggest selecting a set of generators and then, taking one at a time, figure out how many new relations it actually introduces based on what the previous symmetries you have taken into account already tell you.

"pi"mp said:
There appears to be 4 of these.

No, this is wrong. Remember that the repeated indices ##i## are not free indices, but summation indices.On the other hand, I just thought of a simpler way of counting that will not require you to do anything but use the symmetry properties and the trace property. If you first consider the symmetry property, what does this tell you about all of the components with the same number of indices equal to one?
 

1. What is a tensor and why is it important?

A tensor is a mathematical object that represents a physical quantity that has magnitude and direction. It is important in physics and engineering because it allows us to describe and model complex systems and phenomena, such as fluid flow, electromagnetism, and stress and strain in materials.

2. What are degrees of freedom in a tensor?

Degrees of freedom in a tensor refer to the number of independent variables or components that are needed to fully describe the tensor. In other words, it is the minimum number of variables or parameters required to specify a unique value for the tensor at a given point in space.

3. How do you count degrees of freedom in a tensor?

The number of degrees of freedom in a tensor can be counted by determining the number of independent components that it has. For example, a second-order tensor in three-dimensional space has 9 components, but only 6 of these are independent. Therefore, it has 6 degrees of freedom.

4. Why is it important to understand degrees of freedom in a tensor?

Understanding degrees of freedom in a tensor is important because it allows us to determine the minimum number of parameters needed to describe a physical system or phenomenon. This can help us simplify and analyze complex systems, and also has practical applications in engineering and physics.

5. How do degrees of freedom in a tensor affect its behavior?

The number of degrees of freedom in a tensor can affect its behavior in various ways. For example, a higher number of degrees of freedom can result in a more complex and unpredictable behavior, while a lower number of degrees of freedom can lead to a more simplified and predictable behavior. Understanding this relationship is crucial in accurately modeling and predicting the behavior of physical systems.

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