Is This Tensor Identity Valid?

  • Thread starter Thread starter neelakash
  • Start date Start date
  • Tags Tags
    Identity Tensor
Click For Summary
The discussion centers on the validity of the tensor identity involving the Levi-Civita symbol, specifically whether ε_{ijk}ε_{lmn} equals the determinant of the metric tensor g_{ij}. Participants express confusion about the nature of the tensors involved, noting that the left-hand side represents a sixth-rank covariant tensor, while the right-hand side is a scalar. Clarifications are sought regarding the definitions of the tensors and the operations being performed, particularly the dot and cross products of covariant vectors. Ultimately, it is concluded that the proposed identity is incorrect, as the dimensions of the left and right sides do not match. The conversation highlights the complexities of tensor calculus and the importance of precise definitions in mathematical identities.
neelakash
Messages
491
Reaction score
1

Homework Statement



I do not know if the following is correct;if it is,I will be able to save some calculation while doing a problem.Can you please let me know if it is true:

\epsilon_{ijk}\*\epsilon_{lmn} =<br /> <br /> \left(\begin{array}{ccc}\ g_\ {11}&amp;\ g_\ {21}&amp;\ g_\ {31}\\ g_\ {12}&amp;\ g_\ {22}&amp;\ g_\ {32}\\ g_\ {13}&amp;\ g_\ {23}&amp;\ g_\ {33}\end{array}\right)

Homework Equations



definition of \epsilon_\ {ijk}

definition of the "metric" tensor \ g_{ij}

The Attempt at a Solution



let me see first if the latex output has come OK.
 
Last edited by a moderator:
Physics news on Phys.org
I am sorry.Last time there was a problem and the Latex output failed.


I am to prove \ det[g_{ij}]=\ V^2 where \[g_{ij}] is metric tensor and \ V=\epsilon_i\cdot\epsilon_j\times\epsilon_k

Now,I was wondering if the identity

\epsilon_{ijk}\epsilon_{lmn}=<br /> \begin{vmatrix}<br /> \ g_{11}&amp;\ g_{21}&amp;\ g_{31}\\<br /> g_{12}&amp;\ g_{22}&amp;\ g_{32}\\<br /> g_{13}&amp;\ g_{23}&amp;\ g_{33}<br /> \end{vmatrix}

is correct---in which case the problem is solved easily.Note that the antisymmetric tensors are both co-variant.

Surely,the best way to know whether it is correct or not is to prove it...but somehow I am not getting it.If it is correct can anyone give me some hint?
 
I fixed your Latex. You had {cc} where you wanted {ccc} for three columns. Also you had "\{" where you only wanted "{".

You give as a "relevant equation" "the definition of \epsilon_{ijk}. Okay, what is that definition?
 
We know \ g_{ij}=\ e_i\cdot\ e_j

Now, \ V^2=\ V\ V=\epsilon_{ijk}\epsilon_{lmn}

My idea was if we use the defiiniton of \epsilon_{ijk}=\ e_i\cdot\ e_j\times\ e_k

then after some vector manipulation we would get \ g_{ij}=\ e_i\cdot\ e_j,but that did not help much...

I believe the equation is correct for it reduces to a known result when one of the epsilons are covariant and the other is contravariant.
 
neelakash said:
I am sorry.Last time there was a problem and the Latex output failed.I am to prove \ det[g_{ij}]=\ V^2 where \[g_{ij}] is metric tensor and \ V=\epsilon_i\cdot\epsilon_j\times\epsilon_k

Your definition of V makes very little sense to me. Are \epsilon_i orthogonal unit vectors sush that \epsilon_i\epsilon^j=\delta_{ij}? How are you defining the dot and cross products between covariant vectors?

Now,I was wondering if the identity

\epsilon_{ijk}\epsilon_{lmn}=<br /> \begin{vmatrix}<br /> \ g_{11}&amp;\ g_{21}&amp;\ g_{31}\\<br /> g_{12}&amp;\ g_{22}&amp;\ g_{32}\\<br /> g_{13}&amp;\ g_{23}&amp;\ g_{33}<br /> \end{vmatrix}

I can tell you just from glancing at your proposed identity that there is no way it is correct. On the LHS of your "identity" you have a 6th rank covariant tensor (Assuming the definition you are using for \epsilon_{ijk} makes it a tensor and not a tensor density----there are at least two different definitions for \epsilon_{ijk}, so you need to tell us which one your course/textbook uses!) while on the RHS you have the determinant of a matrix; which is a scalar...how can a 6th rank tensor possibly be equal to a scalar?!

neelakash said:
We know \ g_{ij}=\ e_i\cdot\ e_j

Now, \ V^2=\ V\ V=\epsilon_{ijk}\epsilon_{lmn}

No, assuming V is a vector (again, your definition is not at all clear to me), then V^2=V_{a}V^{a} is a scalar, why do you think it is equal to \epsilon_{ijk}\epsilon_{lmn}?
 
Last edited:
Let me tell you step by step:

A.Neither \ V is a vector and \epsilon_i are orthogonal unit vectors. My proposition was V is the volume of the parallelopiped whose sides are three three linearly independent vectors: \ e_i,\ e_j,\ e_k.In the first post there was a typo and I meant the unit vectors are \ e_i and not \epsilon_i.And I do not propose \epsilon_i\epsilon^j=\delta_{ij}

Regarding definiing dot and cross products between covariant vectors:

With this do you agree: \epsilon_{ijk}=(\ e_j\times\ e_k)\cdot\ e_i?

Now,we also know:

\epsilon_{ijk}<br /> =\ +\ V ,[\ i,\ j,\ k \ is\ an\ even\ permutation\ of (\ 1,\ 2,\ 3)]\\<br /> =\ -\ V ,[\ i,\ j,\ k \ is\ an\ odd\ permutation\ of (\ 1,\ 2,\ 3)]\\<br /> =0 ,[\ two\ or\ more\ indices\ are\ equal].

Hence, for orthonormal system, V=1 as \epsilon_{ijk}=\ 1 for even permutation.

I can tell you just from glancing at your proposed identity that there is no way it is correct. On the LHS of your "identity" you have a 6th rank covariant tensor.Assuming the definition you are using for \epsilon_{ijk} makes it a tensor and not a tensor density----there are at least two different definitions for \epsilon_{ijk}, so you need to tell us which one your course/textbook uses!) while on the RHS you have the determinant of a matrix; which is a scalar...how can a 6th rank tensor possibly be equal to a scalar?!

Yes,I can clearly see it's wrrong...I am new to tensors.

However, then why the definition that \epsilon_{ijk}=\pm\ V etc. for even or odd permutations of 1,2,3 is correct---\epsilon_{ijk} is also a rank three tensor...Is not it?
 
Last edited:
OK...I got it...\epsilon_{ijk}=\ +\ V means ijk-th component of epsilon antisymmatric matrix is equal to V.

So,can we write ...\epsilon_{ijk}\epsilon_{lmn}=\ V\ V=\ V^2 to mean that as we multiply ijk-th element of \epsilon tensor and lmn-th element of \epsilon tensor, we get the squared volume of the parallelopiped spanned by the vectors \ e_i,\ e_j,\ e_k?
 
Let us refer to the link provided by robphy.Refer to the section:1.1 and 1.2---relation to Kronecker Delta and generalisation to n dimensions.

I think there is a problem with covariant and contravariant scheme written out there.\epsilon_{ijk}\epsilon^{lmn} and not \epsilon_{ijk}\epsilon_{lmn} is equal to the det [Kronecker delta] as long as we are not using orthonormal basis.by [Kronecker delta] I mean the matrix written there.

I thought \epsilon_{ijk}\epsilon_{lmn} is equal to det[g_ij] as

\ g_{ij}=\ e_i\cdot\ e_j and

\ g_{ij}=\ e_i\cdot\ e^j=\delta_i^j

Could I convey my thought?
 
  • #10
Let \ e_i,\ e_j,\ e_k form a basis,not necessarily orthogonal.Then,
\ e_i\cdot(\ e_j\times\ e_k) is the volume |V| spanned by the bases.
In the deleted post I intended to prove
\ e_i\cdot(\ e_j\times\ e_k)=\epsilon_{ijk}

Thus,it follows that for a non-orthogonal basis,
\ e_i\cdot(\ e_j\times\ e_k)=\epsilon_{ijk}=+V
So,for even permutation of ijk,ijk-th element of \epsilon tensor=+V

\ e_i\cdot(\ e_j\times\ e_k)=\epsilon_{ijk}=-V
So,for odd permutation of ijk,ijk-th element of \epsilon tensor=-V

etc.

However,if the basis is orthonormal,we would have |V|=1.

Thus,\ V^2=\epsilon_{ijk}\epsilon_{lmn}=[\ e_i\cdot(\ e_j\times\ e_k)][\ e_l\cdot(\ e_m\times\ e_n)] for even permutation of {i,j,k} and {l,m,n} where {i,j,k},{l,m,n}={1,2,3}

Let \ e_i=i,\ e_j=j,\ e_k=k,\ e_l=l,\ e_m=m,\ e_n=n

I was failing to evaluate the following determinant:

\begin{vmatrix}\ i_1&amp;\ i_2&amp;\ i_3\\<br /> j_1&amp;\ j_2&amp;\ j_3\\<br /> k_1&amp;\ k_2&amp;\ k_3<br /> \end{vmatrix}<br /> <br /> \begin{vmatrix}\ l_1&amp;\ l_2&amp;\ l_3\\<br /> m_1&amp;\ m_2&amp;\ m_3\\<br /> n_1&amp;\ n_2&amp;\ n_3<br /> \end{vmatrix}<br /> <br /> = \begin{vmatrix}\ i_1\ l_1\ +\ i_2\ l_2\ + \ i_3\ l_3 &amp;\ i_1\ m_1\ + \ i_2\ m_2\ + \ i_3\ m_3 &amp; \ i_1\ n_1\ +\ i_2\ n_2\ + \ i_3\ n_3\\<br /> <br /> \ j_1\ l_1\ +\ j_2\ l_2\ + \ j_3\ l_3 &amp;\ j_1\ m_1\ + \ j_2\ m_2\ + \ j_3\ m_3 &amp;\ j_1\ n_1\ +\ j_2\ n_2\ + \ j_3\ n_3\\<br /> <br /> \ k_1\ l_1\ +\ k_2\ l_2\ + \ k_3\ l_3 &amp;\ k_1\ m_1\ + \ k_2\ m_2\ + \ k_3\ m_3 &amp; \ k_1\ n_1\ +\ k_2\ n_2\ + \ k_3\ n_3<br /> <br /> \end{vmatrix}<br /> <br /> =\begin{vmatrix}<br /> \ i\cdot\ l &amp;\ i\cdot\ m &amp; \ i\cdot\ n\\<br /> \ j\cdot\ l &amp;\ j\cdot\ m &amp; \ j\cdot\ n\\<br /> \ k\cdot\ l &amp;\ k\cdot\ m &amp; \ k\cdot\ n<br /> \end{vmatrix}<br /> <br /> =\begin{vmatrix}<br /> \ e_i\cdot\ e_l &amp;\ e_i\cdot\ e_m &amp; \ e_i\cdot\ e_n\\<br /> \ e_j\cdot\ e_l &amp;\ e_j\cdot\ e_m &amp; \ e_j\cdot\ e_n\\<br /> \ e_k\cdot\ e_l &amp;\ e_k\cdot\ e_m &amp; \ e_k\cdot\ e_n<br /> \end{vmatrix}<br /> <br /> =\begin{vmatrix}<br /> \ g_{il} &amp;\ g_{im} &amp; \ g_{in}\\<br /> \ g_{jl} &amp;\ g_{jm} &amp; \ g_{jn}\\<br /> \ g_{kl} &amp;\ g_{km} &amp; \ g_{kn}<br /> \end{vmatrix}<br /> <br /> =det[g]<br /> <br />
 
  • #11
Can the moderators please fix the Latex?
 

Similar threads

Replies
12
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 28 ·
Replies
28
Views
3K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
15
Views
1K
  • · Replies 20 ·
Replies
20
Views
2K
Replies
19
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K