What is the purpose of contraction in tensor algebra?

In summary, contractions in tensor algebra serve to simplify and generalize mathematical operations involving tensors. They involve the multiplication of two tensors, resulting in a new tensor with lower rank, which can then be used in further calculations. This allows for a more efficient representation and manipulation of complex physical quantities and relationships in fields such as physics, engineering, and mathematics. Contraction also aids in the notation and understanding of tensors, making them more accessible and applicable in various contexts.
  • #1
joe2317
6
0
Let Y[tex]_{1}[/tex],..,Y[tex]_{k}[/tex] be vector fields and let A be a tensor field of type [tex]^{k}_{1}[/tex]. Could you explain how applying k contractions to A[tex]\otimes[/tex]Y[tex]_{1}[/tex][tex]\otimes[/tex]...Y[tex]_{k}[/tex] yields A(Y[tex]_{1}[/tex]...Y[tex]_{k}[/tex])?

Actually, could you first explain why contraction of w[tex]\otimes[/tex]Y is equal to w(Y)?
Here, w is a 1-form and Y is a vector field.
Thank you.
 
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  • #2
Isn't that pretty much the definition of "contraction"?
 
  • #4
[tex]w \otimes Y[/tex] has incides [tex]w_{i} \otimes Y^{j}[/tex]. Contract the indices to make [tex]w \otimes Y[/tex] into a scalar gives [tex]w_{i} \otimes Y^{i}[/tex]. This is the definition of w(Y).

Similarly for everything else.
 
  • #5
a special case is the dot product of two vectors, this is how everyone really things about contraction anyway
 

Related to What is the purpose of contraction in tensor algebra?

1. What is a tensor?

A tensor is a mathematical object that describes the relationship between different vectors and scalars in a multi-dimensional space. It is used in various fields such as physics, engineering, and computer science.

2. What is the contraction of a tensor?

The contraction of a tensor is a mathematical operation that involves summing over one or more indices in a tensor. It results in a new tensor with fewer indices, representing a more simplified relationship between the vectors and scalars.

3. How is the contraction of a tensor performed?

The contraction of a tensor is performed by multiplying the elements of the tensor with the corresponding elements of a specified vector or scalar, and then summing over the repeated indices.

4. What is the significance of the contraction of a tensor?

The contraction of a tensor is significant because it allows for the simplification of complex mathematical expressions, making them easier to understand and manipulate. It is also a useful tool in solving problems in fields such as mechanics, relativity, and electromagnetism.

5. Can the contraction of a tensor be applied to tensors of any order?

Yes, the contraction of a tensor can be applied to tensors of any order, as long as the indices being contracted are repeated indices. The result will always be a new tensor with fewer indices than the original.

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