How Do Indices Function in Tensor Notation?

In summary, the conversation discusses the use of index notation in representing tensors. The notation can be used to denote the components of a tensor in a coordinate system or as a shortcut to denote the tensor itself. Lower indices indicate covariance and upper indices indicate contravariance. The conversation also mentions how this notation applies to specific tensors, such as the Kronecker delta. Additionally, it is noted that in flat, Euclidean space, there is no distinction between covariant and contravariant tensors.
  • #1
Miloslav
3
0
I was wondering how the indices of tensors work. I do not understand how the indices of tensors in can be used. For example, \eta _{\mu \nu }, the metric tensor, is like a matrix, and x^{u} is a contravector. How does this extend to notations such as T{_{a}}^{bc} and T{_{ab}}^{c}?
 
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  • #2
use [tex] wraps to make the latex show up.

The index notation is used in 2 ways. 1, it is used to denote the components of a tensor in some (arbitrary) coordinate system. And 2, it is often used to denote the tensor itself. The second way is a shortcut, but, strictly speaking, is an abuse of notation.

Lower indices indicate covariance while upper indices indicate contravariance. The tensors you wrote at the end are respectively once covariant twicce contravariant and twice covariant once contravariant.
 
  • #3
Ok. Thanks for the tip about Latex. I was hoping to clarify that tensors are used in a certain context. Thank you for the information, I now understand how it can be used, particularly in the case of the Kronecker delta.
 
  • #4
In flat, Euclidean, space, in which we can use the Kronecker [itex]\delta[/itex] as metric tensor, there is no distinction between "covariant" and "contravariant" tensors.
 
  • #5


The indices of tensors play a crucial role in denoting the components of a tensor in a specific coordinate system. In the example provided, \eta _{\mu \nu } is the metric tensor, which is used to measure distances and angles in a given space. The indices \mu and \nu represent the rows and columns of the matrix, respectively, and indicate the specific components of the tensor.

The notation x^{u} refers to a contravariant vector, where the superscript u indicates the component of the vector in a given direction. This notation is commonly used in relativity and other areas of physics to represent the components of a vector in a specific coordinate system.

The notation T{_{a}}^{bc} and T{_{ab}}^{c} extend the use of indices to higher order tensors. In these cases, the indices a, b, and c represent the different dimensions of the tensor, and the superscripts and subscripts indicate the specific components within those dimensions. This notation is essential in performing tensor operations and transformations, as it allows us to keep track of the components and their transformations between different coordinate systems.

In summary, indices in tensor notation are a powerful tool for denoting the components of tensors in a specific coordinate system and performing tensor operations. They allow us to work with tensors of different dimensions and keep track of their transformations, making them essential in various areas of physics and mathematics.
 

Related to How Do Indices Function in Tensor Notation?

What are tensors and why are they denoted with indices?

Tensors are mathematical objects used to describe the relationship between multiple quantities in a system. They are denoted with indices because it allows for a concise way to represent the different components and their relationships within the tensor.

What do the indices in tensor notation represent?

The indices in tensor notation represent the different directions or dimensions of the tensor. For example, in a 3D Cartesian coordinate system, the indices can represent the x, y, and z directions.

How do you determine the number of indices needed for a tensor?

The number of indices needed for a tensor is determined by the number of dimensions in the system. For example, a 2D tensor would have two indices, while a 3D tensor would have three indices.

What is the purpose of using Einstein's summation convention in tensor notation?

Einstein's summation convention states that when an index appears twice in a term, it is implicitly summed over all possible values. This allows for a more compact representation of tensor equations and reduces the need for explicit summation signs.

How does one manipulate tensors using index notation?

Tensors can be manipulated using index notation by following certain rules, such as the Einstein summation convention, raising and lowering indices, and using index contraction. These rules allow for the simplification and manipulation of tensor equations in index notation.

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