Dual to Tensor: Meaning & -1/6 Explained

In summary, "dual to tensor" refers to the relationship between a vector space and its dual space through the use of tensors. It is used extensively in physics and engineering to represent physical quantities and can be extended to higher dimensions using multilinear maps. The specific coefficient of -1/6 in the transformation laws for tensors represents a contravariant component and allows for the transformation of tensors between different coordinate systems.
  • #1
yukcream
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In my lecture note about tensor it states:
As element of integration over the hypersurface it is more convenient to use the 4-vector dS^i , dual to the tensor dS^ikl:

dS^i = -1/6 e^iklmdS_klm ,dS_klm = e_iklmdS^i

What is the meaning of dual?
How the -1/6 comes from?

yukyuk
 
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  • #3


The concept of duality in mathematics refers to the relationship between two objects that are related in a symmetric way. In this context, the dual of a tensor is a related object that is defined by the same set of components but with a different transformation rule. In simpler terms, the dual of a tensor is a different way of representing the same mathematical object.

In the context of the lecture notes, the dual of the tensor dS^ikl is the 4-vector dS^i, which is defined as -1/6 times the tensor dS^ikl multiplied by the Levi-Civita tensor e^iklm. This transformation is necessary in order to properly integrate over a hypersurface, as it simplifies the calculation and makes it more convenient.

The -1/6 factor comes from the specific definition of the Levi-Civita tensor, which is a mathematical object used to describe the orientation of a coordinate system in four dimensions. In this case, it represents the orientation of the hypersurface over which the integration is being performed. The value of -1/6 is a result of the specific definition of the Levi-Civita tensor and is necessary to properly relate the tensor and its dual.

Overall, the concept of duality is important in mathematics and physics as it allows for different perspectives and representations of the same underlying mathematical objects. In the case of tensors and their duals, it provides a more convenient and efficient way to perform calculations and solve problems.
 

FAQ: Dual to Tensor: Meaning & -1/6 Explained

What is the meaning of "dual to tensor"?

"Dual to tensor" refers to the mathematical concept of a dual space, which is the space of all linear functionals on a given vector space. A tensor is an object that represents multilinear maps between vector spaces. Therefore, the dual to tensor refers to the relationship between a vector space and its dual space through the use of tensors.

What does -1/6 represent in the context of dual to tensor?

-1/6 is a specific coefficient that appears in the transformation laws for tensors when switching between different coordinate systems. It represents the scaling factor for the tensor when switching from one coordinate system to another, and is often referred to as a "contravariant" coefficient.

How is dual to tensor used in physics and engineering?

Dual to tensor is used extensively in the fields of physics and engineering to represent and manipulate physical quantities such as forces, velocities, and stresses. Tensors allow for the transformation of these quantities between different coordinate systems and provide a powerful tool for solving complex problems in these fields.

Can you explain the concept of "contravariance" in dual to tensor?

Contravariance refers to the way in which the components of a tensor transform when switching between different coordinate systems. In a tensor, there are both "covariant" and "contravariant" components, which transform differently under a change of coordinates. The -1/6 coefficient in the transformation laws for tensors is an example of a contravariant component.

How does the concept of dual to tensor extend to higher dimensions?

Dual to tensor can be extended to higher dimensions by using the concept of multilinear maps. In three dimensions, tensors are represented as arrays with three indices, but in higher dimensions, tensors can have more indices to represent more complex relationships between vector spaces. The concept of the dual space also extends to higher dimensions, allowing for the use of tensors in a wide range of mathematical and scientific applications.

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