Upper indices and lower indices in Einstein notation

  • #1
GGGGc
I have read some text about defining the cross product. It can be defined by both a x b = epsilon_(ijk) a^j b^k e-hat^i and a x b = epsilon^(ijk) a_i b_j e-hat^k
why the a and b have opposite indice positions with the epsilon? How to understand that physically?
 
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  • #2
Screen Shot 2023-10-02 at 21.18.13.png

This is the text i read
 
  • #4
PeroK said:
I've already checked that, but I'm still confused about when to use upper or lower indices, do you have some examples? Thanks for answering my question!
 
  • #5
GGGGc said:
I've already checked that, but I'm still confused about when to use upper or lower indices, do you have some examples? Thanks for answering my question!
You really need a textbook or lecture notes, as there is a lot to say on this. The basic idea comes from the notaion of a dual vector space. In Euclidean space, the dual space can be associated directly with the original space, so there is no need for a distinction. And, generally a vector is written as a sum of its components in any coordinate basis:
$$\mathbf a = \sum_{i = 1}^n a_i\mathbf e_i$$Where ##\mathbf e_i## are the basis vectors. When we come to curved spacetime, the dual space can no longer be directly associated with the original space. Therefore, we have a coordinate basis and a dual basis and a vector is expressed in terms of the basis and a dual vector in terms of the dual basis. (Note that this concept extends to tensors of any rank.) The Einstien notation not only dropped the summation symbol, but used upper indices to represent components of a vector and lower indices to represent the basis vectors. This is because the components obey the contravariant transformation law and the basis vectors obey the covariant transformation law (you better check I've got that the right way round!). So, we write:
$$\mathbf a = a^{\alpha}\mathbf e_{\alpha}$$Conversely, the components of a dual vector (also known as a one-form) obey the covariant transformation law and the basis dual vectors obey the contravariant law. So, for a dual vector, we write:$$\mathbf w = w_{\alpha}\mathbf \theta^{\alpha}$$Where ##\mathbf \theta^{\alpha}## are the basis dual vectors.

That should get you started, but whatever you are studying should go into the Einstein notation in sufficient depth.
 
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  • #6
Thank you so much for your explanation! I'm quite clear now!
 
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Related to Upper indices and lower indices in Einstein notation

What is Einstein notation?

Einstein notation, also known as the Einstein summation convention, is a notational convention used in tensor calculus and theoretical physics. It simplifies expressions involving sums over a set of indexed terms. According to this convention, when an index variable appears twice in a single term and is not otherwise defined, it implies summation over all the values of the index.

What do upper and lower indices represent in Einstein notation?

In Einstein notation, upper indices (also known as contravariant indices) and lower indices (also known as covariant indices) represent different types of tensor components. Upper indices are typically associated with vectors and components that transform in a certain way under coordinate transformations, while lower indices are associated with dual vectors (covectors) and components that transform in the dual manner.

Why are upper and lower indices important in Einstein notation?

Upper and lower indices are important because they help distinguish between different types of tensors and their transformation properties. This distinction is crucial for correctly applying tensor operations and ensuring that equations remain consistent under coordinate transformations. The placement of indices also helps in identifying whether a tensor is contravariant, covariant, or mixed.

How does the summation convention work with upper and lower indices?

In the summation convention, when an index appears once as an upper index and once as a lower index in a term, it implies summation over that index. For example, in the expression \(A^i B_i\), the index \(i\) appears once as an upper index and once as a lower index, so it implies a sum over all possible values of \(i\). This reduces the need to explicitly write the summation symbol, making expressions more compact.

Can you provide an example of a tensor equation using Einstein notation?

Sure! Consider the metric tensor \(g_{ij}\) and a vector \(v^i\). The length of the vector can be expressed using Einstein notation as \(g_{ij} v^i v^j\). Here, the indices \(i\) and \(j\) are summed over, according to the summation convention, and this expression gives a scalar quantity representing the squared length of the vector in a given metric.

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