Levi Civita Symbol: Demonstrating $\epsilon_{ijk} T_{ki}$

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In summary, the conversation discusses the demonstration of the identity ##\displaystyle \int_v \vec {r} \times ( \nabla \cdot T ) d^3x=\oint_S ( \vec r \times T) \cdot \hat n da##, where T is a second order tensor and r is a vector. The speaker is trying to prove this identity using indicial notation and is unsure if their derivation is correct. They also discuss the physical representation of T, with one person suggesting that T should be symmetric and the other person questioning this assumption. The conversation ends with a discussion on the use of upper and lower indices in tensors.
  • #1
Telemachus
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Homework Statement


I'm trying to demonstrate the dientity: ##\displaystyle \int_v \vec {r} \times ( \nabla \cdot T ) d^3x=\oint_S ( \vec r \times T) \cdot \hat n da##

T is a second order tensor, and r a vector.

So basically I should have: ##\vec {r} \times \nabla \cdot T= \nabla \cdot ( \vec r \times T)##

When I use indicial notation, I get a term: ##\epsilon_{ijk} T_{ki}## which should equal zero. I see in principle that if T is a symmetric tensor I get the desired result. But I think that the result should be general, and not hold only for a symmetrical tensor T.

What I did was:

##\epsilon_{ijk} T_{ki}=-\epsilon_{ikj} T_{ki}## (1)

and by the other side I've used that for dummy indices:

##\epsilon_{ijk} T_{ki}=\epsilon_{ikj} T_{ki}## (2)

This last step is the one that I'm not sure if its right. I thought that as the indices are dummies, I just could interchange in the Levi Civita symbol the j and the k, and then because of the properties of the levi civita symbol, use the indentity (1) to demonstrate that the term equals zero. But I wanted to know if (2) is fine, because I'm not really sure.

I think that actually if I use the dummy indices properly I should have: ##\epsilon_{ijk} T_{ki}=\epsilon_{ikj} T_{ji}## so what I did is actually wrong.
Thanks in advance.
 
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  • #2
What does T represent physically? I suspect that the text you are using assumes that T is symmetric.
 
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  • #3
Is the Maxwell stress tensor. I think that in general it shouldn't be symmetrical.
 
  • #4
The Maxwell stress tensor is symmetric.
 
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  • #5
I think that my derivation is probably wrong in a previous step, I don't see that the term should in general be zero as I stated.

Are you sure that the Maxwell stress tensor is symmetric? it represents a force per unit area in the particles and fields, I think that in particular situtations it shouldn't be symmetrical. I think that the vector identity should hold in general, but I'm not totally sure.

Looking at the expression for the Maxwell tensor, it looks symmetrical, at least for linear (and I think that isotropic too) media, linearity is an assumption previously used in the textbook. But I think that the identity should hold in general anyway.
 
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  • #6
I'll show what I did in the previous step:

##\displaystyle \vec r \times ( \nabla \cdot T )=\epsilon_{ijk}r_j \frac{\partial T_{k \beta}}{\partial x_{\beta}}=\frac{\partial }{\partial x_{\beta}}(\epsilon_{ijk}r_j T_{k \beta})-\delta_{j \beta}\epsilon_{ijk}T_{k\beta}##

I've found a mistake when writing this here :p but it looks that the symmetry of T is needed to hold anyway.
 
  • #7
Telemachus said:
I think that my derivation is probably wrong in a previous step, I don't see that the term should in general be zero as I stated.

Are you sure that the Maxwell stress tensor is symmetric? it represents a force per unit area in the particles and fields, I think that in particular situtations it shouldn't be symmetrical. I think that the vector identity should hold in general, but I'm not totally sure.

Looking at the expression for the Maxwell tensor, it looks symmetrical, at least for linear (and I think that isotropic too) media, linearity is an assumption previously used in the textbook. But I think that the identity should hold in general anyway.
If it is not symmetrical, a material medium would begin to rotate spontaneously. If you don't believe me, consult Griffiths p 352, eq (8.19). A stress tensor can only support an antisymmetric part if there is a torque per unit volume to counterbalance the twisting motion of the stress tensor. You will probably find a proof of that in Landau and Lifschitz, Fluids.

Also, if the tensor is not symmetric, the symbol
Telemachus said:
∇⋅T
would be ambiguous.

Your calculation is correct (except for the horrid habit of pushing all indices to the lower case position!). Of course,
Telemachus said:
δjβϵijkTkβ = ϵijkTkj
 
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  • #8
Thank you verymuch :)

I have the habit to use lower case for the indices, because I think that upper indices are related to covariant and contravariant tensors, and I haven't worked that yet (I think I'll have to when I get to relativity).
 
  • #9
You ought to master the covariant and contravariant indices ASAP. The system is consistent and unambiguous. The Cartesian tensor convention (all indices in lower position) is ambiguous.
 
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  • #10
You are right, it's an habit I got after working in continuum mechanics. We always worked with cartesian tensors there, so the habit. What does ASAP means?
 
  • #11
As Soon As Possible
 
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  • #12
Yes, I think that I should start right now. Could you write it in contravariant notation? in this case it would be indifferent to put the indices upward or downward? and If you have some sources to get a quick review for this, it would be great.

Thank you.
 
  • #13
McConnell, Applied Tensor Analysis.
Synge and Schild, Tensor Analysis.
Barry Spain, Tensors.

[itex] [ r⃗ ×(∇⋅T) ]^{i} = \varepsilon_{ijk} x^j (∂_\ell T^{\ell k } ) [/itex]
[itex] = ∂_\ell (\varepsilon_{ijk} x^j T^{\ell k } ) - \varepsilon_{ijk} (\partial_\ell x^j) T^{\ell k } = ∂_\ell (\varepsilon_{ijk} x^j T^{\ell k } ) - \varepsilon_{ijk} \delta^j_\ell T^{\ell k } [/itex]
[itex] = ∂_\ell (\varepsilon_{ijk} x^j T^{\ell k } ) - \varepsilon_{ijk} T^{j k } [/itex]
 
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  • #14
Some quick and concise reference online? I don't want to get so involved like to take a book for reference.
 
  • #15
I'm afraid there is no "royal road" to tensors. It needs application and hard work. But it pays huge dividends in the end.
 
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  • #16
Can you explain when you use upper indices and down idices how you choose which to use? in other words, what do upper indices indicate, and what do lower indices indicate.
 
  • #17
A notation like ##T^i{}_{jk}## really means ##T(e^i,e_j,e_k)##. Here ##(e_1,\dots,e_n)## is an ordered basis for the tangent space at a point p, and ##(e^1,\dots,e^n)## is the ordered basis for the cotangent space at p that's dual ##(e_1,\dots,e_n)## in the sense that ##e^i(e_j)=\delta^i_j## for all i,j. (In this example, T is a multilinear map from ##V^*\times V\times V## into ##\mathbb R##, where ##V## is the tangent space at p and ##V^*## is its dual space, i.e. the cotangent space at p).

I don't think there's anything wrong with keeping all the indices downstairs in a problem like this. ##T_{ij}## is a perfectly adequate notation for the number on row i, column j of a matrix T. In problems like this, you can assume that you're dealing with a matrix and forget that you've even heard about tensors. That's what I do when I'm dealing with special relativity.

Chapter 3 in "A first course in general relativity" by Schutz is a nice introduction to tensors. Another option is chapter 8 in "Linear algebra done wrong" by Sergei Treil.
 
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  • #18
Thank you verymuch Fredrik.
 
  • #19
I have to say that I find the notations in ##\vec r\times(\nabla\cdot T)=\nabla\cdot(\vec r\times T)## pretty confusing. ##\nabla\cdot(\text{something})## is usually a scalar, but ##\nabla\cdot T## must be a vector for the left-hand side to make sense. I suppose that we can define vectors ##\vec v_i=T_{ij}e_j## and then define ##\nabla\cdot T## by ##\nabla\cdot T=(\nabla\cdot\vec v_i)e_i##. Then we have
$$\nabla\cdot T=\partial_j(\vec v_i)_j e_i =\partial_j T_{ij} e_i.$$ The expression ##\nabla\cdot(\vec r\times T)## is even more difficult to interpret.
 
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  • #20
Fredrik said:
I don't think there's anything wrong with keeping all the indices downstairs in a problem like this. ##T_{ij}## is a perfectly adequate notation for the number on row i, column j of a matrix T. In problems like this, you can assume that you're dealing with a matrix and forget that you've even heard about tensors. That's what I do when I'm dealing with special relativity.

I am not entirely in agreement with this statement. There are problems with pushing all indices to the subscript position. Here are a few:

1. It violates good practice in using the summation convention to sum over indices that are both in the subscript position.

2. The results of such a calculation are valid only if the vector basis in use is orthonormal and the space is Euclidean. The results are incorrect if the basis is not orthonormal and / or if the space is not Euclidean.

3. Crystal physics does not use orthonormal bases.

4. It is confusing to novices to be told that an endomorphism [itex] B_{ij} [/itex], where all indices have been pushed into the lower position, has a different transformation law from the coefficients [itex] B_{ij} [/itex] of a quadratic form. It is impossible to explain the difference if one uses the conventions of Cartesian tensors. The distinction must be stated verbally and is not reflected in the mathematics.

My preference is for being taught the difference between covariant and contravariant ab initio. It makes life very much simpler in the long run.
 
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  • #21
Fredrik said:
I have to say that I find the notations in ##\vec r\times(\nabla\cdot T)=\nabla\cdot(\vec r\times T)## pretty confusing. ##\nabla\cdot(\text{something})## is usually a scalar, but ##\nabla\cdot T## must be a vector for the left-hand side to make sense. I suppose that we can define vectors ##\vec v_i=T_{ij}e_j## and then define ##\nabla\cdot T## by ##\nabla\cdot T=(\nabla\cdot\vec v_i)e_i##. Then we have
$$\nabla\cdot T=\partial_j(\vec v_i)_j e_i =\partial_j T_{ij} e_i.$$ The expression ##\nabla\cdot(\vec r\times T)## is even more difficult to interpret.

The notation [itex] \nabla \cdot T [/itex] is also ambiguous. It could mean [itex] \partial_i T^{ik} \mbox{ or } \partial_k T^{ik} [/itex]. These two mean different things when T is not symmetric. There is no way to express the latter in this notation unless one invents a new symbol to indicate that the differential operator acts "backwards" and places it after T with a separating dot.

In old fashioned dyad notation, the dot used in the above way is common. Personally, I do not see why anyone would still use dyad notation when the tensor notation is available.
 
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What is the Levi Civita Symbol?

The Levi Civita symbol, also known as the permutation symbol, is a mathematical symbol used in vector calculus to represent the cross product of two vectors and to denote the determinant of a matrix. It is written as $\epsilon_{ijk}$, with $i$, $j$, and $k$ representing the three dimensions of space.

What is the significance of the Levi Civita Symbol?

The Levi Civita symbol is significant because it allows us to express vector operations, such as the cross product, in a concise and elegant way. It also plays a crucial role in tensor calculus, where it is used to define and manipulate tensors.

What does the expression $\epsilon_{ijk} T_{ki}$ mean?

The expression $\epsilon_{ijk} T_{ki}$ represents the contraction of a tensor $T$ with the Levi Civita symbol. This operation is used to simplify tensor equations and to find the components of a tensor in a specific coordinate system.

How is the Levi Civita Symbol used in physics?

The Levi Civita symbol is used in physics to describe physical quantities that involve vector operations, such as angular momentum, torque, and electromagnetic fields. It is also used in general relativity to describe the curvature of spacetime.

How can I demonstrate $\epsilon_{ijk} T_{ki}$?

To demonstrate $\epsilon_{ijk} T_{ki}$, you can start by writing out the expression in terms of its components. Then, you can use the properties of the Levi Civita symbol to simplify the expression and find its numerical value. Finally, you can substitute in the components of the tensor $T$ to get the final result.

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