What is the Interpretation of a Tensor?

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SUMMARY

The discussion centers on computing the expression \frac{1}{6}\epsilon_{ijk}\epsilon_{lmn} M_{il} M_{jm} M_{kn} for the matrix M = \begin{pmatrix} 2 & -1 & 0\\ -1 & 2 & -1\\ 0 & -1 & 2\\ \end{pmatrix}. The final result is confirmed to be 4, derived from the determinant of the matrix M. The computation involves recognizing the contributions from both diagonal and non-diagonal elements, ultimately leading to the conclusion that the expression represents the determinant of the matrix. The discussion also highlights the challenge of intuitively grasping the determinant's value through symmetry alone.

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S. Moger
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Homework Statement



M= \begin{pmatrix}<br /> 2 &amp; -1 &amp; 0\\<br /> -1 &amp; 2 &amp; -1\\<br /> 0 &amp; -1 &amp; 2\\<br /> \end{pmatrix}

Compute \frac{1}{6}\epsilon_{ijk}\epsilon_{lmn} M_{il} M_{jm} M_{kn} .

The Attempt at a Solution



I computed the result which is 4, by realizing that there are 36 non-zero levi-civita containing components to sum. Within this group, for each fixed {i,l} there are 4 possible sets of {in},{km}. As the order of the M_{ab}'s inside the product doesn't matter they can be rearranged to form sums of 2 each at a time. The positive contribution to the sum arises from the (now) three occurences of the product of the diagonal elements M_{ii} M_{jj} M_{kk} = 2 \cdot 2 \cdot 2 = 8 (not meant to be read as sums). The negative contributions arise from products of specific non-diagonal components multipied by a specific diagonal component. Because of interchangeability inside the product (or alternatively, in this case, symmetry) all get bundled in pairs of two. Each non-zero contribution (i.e. non-{1,3} permutation) then equals 2 \cdot (-1 \cdot -1 \cdot 2) = 4, and there are three of them. So the final result turns out to be

2 (3 \cdot 8 - 3 \cdot 4) = 24, which divided by 6 leaves us with 4.

However, it feels like I'm missing something here (I'm not using the symmetry in any kind of crucial way). Is this the way you would solve this problem? Would it be possible to "see" the result by simply looking at the expression (i.e. interpreting it before doing the math)? Or for example by expressing the epsilons in deltas?( Edit: I now see it's the determinant. But still, it isn't super apparent from just doing the math mindlessly (which is my type of thing until I feel I grasp the basics.)
 
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Apologies for not having Latex here. As you have discovered, your expression is just the determinant of the matrix. This is evident by expanding
eps(i,j,k) eps(l,m,n) M(i,l) M(j,m) M(k,n) as six lines, one for each sequence of possible i,j,k that result in non zero epsilon components:

= eps (1,2,3) eps(l,m,n) M(1,l) M(2,m) M(3,n)
+ eps (2,3,1) eps(l,m,n) M(2,l) M(3,m) M(1,n)
+ eps (3,1,2) eps(l,m,n) M(3,l) M(1,m) M(2,n)
+ three other lines, you get the idea.

But each line is equal to the determinant which is defined as eps(l,m,n) M(1,l) M(2,m) M(3,n). To see this you have to reorder the l,m,n indices in each line except the first.

Your fundamental question, why can't this be done by looking at the symmetries of the M matrix, is equivalent to asking: can the determinant of a symmetric matrix be quickly evaluated by looking at symmetries? Not as far as I know.
 
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Thanks, that's a very clear and nice explanation.
 

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