How Do You Calculate g(W,W) Using the Given Metric?

In summary, to calculate g(W,W) where W=\partial_1 + \partial_2, we can use the bilinear property of the metric tensor to simplify the calculation. Using the matrix representation of the metric, we can see that g(W,W) will equal 0.
  • #1
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Suppose, I have the next metric:
[tex]g = du^1 \otimes du^1 - du^2 \otimes du^2[/tex]

And I want to calculate [tex]g(W,W)[/tex], where for example [tex]W=\partial_1 + \partial_2[/tex]

How would I calculate it?

Thanks.
 
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  • #2
The metric tensor is bilinear so [itex]g_p(\partial _{1} + \partial _{2}, \partial _{1} + \partial _{2}) = g_p(\partial _{1} + \partial _{2},\partial _{1}) + g_p(\partial _{1} + \partial _{2},\partial _{2}) = \\g_p(\partial _{1},\partial _{1}) + g_p(\partial _{2},\partial _{1}) + g_p(\partial _{1},\partial _{2}) + g_p(\partial _{2},\partial _{2}) = g_{11}(p) + 2g_{12}(p) + g_{22}(p) = 1 +0 - 1 = 0 [/itex].

Assuming by [itex]\partial _{i}|_{p}[/itex] you are talking about the coordinate basis vectors, [itex]g_p(\partial _{i},\partial _{j}) = g_{ij}[/itex].
 
  • #3
ok, thanks.
 
  • #4
In matrix terms we can representn [itex]g = du^1 \otimes du^1+ 0 du^1\otimes du^2+ 0 du^2\otimes du^1 - du^2 \otimes du^2[/itex] as
[tex]\begin{pmatrix}1 & 0 \\ 0 & -1\end{pmatrix}[/tex]

And I want to calculate [tex]g(W,W)[/tex], where for example [tex]W=\partial_1 + \partial_2[/tex]

How would I calculate it?

Thanks.
[tex]\begin{pmatrix}1 & 1\end{pmatrix}\begin{pmatrix}1 & 0 \\ 0 & -1\end{pmatrix}\begin{pmatrix}1 \\ 1 \end{pmatrix}= \begin{pmatrix}1 & -1\end{pmatrix}\begin{pmatrix}1 \\ 1\end{pmatrix}= 1+ (-1)= 0[/tex]
 
  • #5


I would say that calculating the metric tensor is an important step in understanding the geometry and curvature of a given space. In this case, the given metric g represents a two-dimensional space with coordinates u^1 and u^2. The tensor g is a mathematical object that describes the distance between points in this space.

To calculate g(W,W), we first need to understand what W represents. In this case, W is a vector field with components \partial_1 and \partial_2. This means that at any given point in the space, the vector W will have a magnitude and direction determined by the values of \partial_1 and \partial_2 at that point.

To calculate g(W,W), we need to use the properties of the metric tensor. One important property is that the metric tensor is a bilinear form, meaning it takes two vectors as inputs and produces a scalar as output. In this case, we have two copies of W as our inputs, so we can use the bilinearity property to break up g(W,W) into two parts: g(W,W) = g(W,W^1) + g(W,W^2).

The next step is to apply the metric g to each component of W separately. Since g is a tensor, it is defined by its action on any two vectors. In this case, we can use the definition of g to calculate g(W,W^1) and g(W,W^2) as follows:

g(W,W^1) = g(\partial_1 + \partial_2, \partial_1) = g(\partial_1, \partial_1) + g(\partial_1, \partial_2)

g(W,W^2) = g(\partial_1 + \partial_2, \partial_2) = g(\partial_1, \partial_2) + g(\partial_2, \partial_2)

To calculate each of these terms, we can use the given metric g = du^1 \otimes du^1 - du^2 \otimes du^2 and the fact that \partial_1 and \partial_2 are the basis vectors for this space. This will give us the following results:

g(\partial_1, \partial_1) = g(\partial_2, \partial_2) = 1
g(\partial_1, \partial_2) = g(\partial
 

FAQ: How Do You Calculate g(W,W) Using the Given Metric?

What is the metric tensor?

The metric tensor is a mathematical object used to define the geometry of a space. It is a symmetric tensor that describes the relationship between distance and angle in a given coordinate system.

How is the metric tensor calculated?

The metric tensor is calculated by taking the inner product of basis vectors in a coordinate system. This involves multiplying each basis vector with all other basis vectors and taking the dot product of the resulting vectors.

Why is the metric tensor important?

The metric tensor is important because it allows for the calculation of distances and angles in a given coordinate system, which is crucial in various fields such as physics and engineering. It also plays a key role in the formulation of Einstein's theory of general relativity.

Can the metric tensor be used in any coordinate system?

Yes, the metric tensor can be used in any coordinate system as long as the basis vectors are orthogonal. However, the values of the metric tensor will differ depending on the coordinate system used.

What are some applications of the metric tensor?

The metric tensor has many applications in physics, engineering, and mathematics. It is used in general relativity to describe the curvature of spacetime, in quantum field theory to calculate scattering amplitudes, and in computer graphics to map 3D objects onto a 2D plane, among others.

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