Use of tensor densities in coordinate transformation

In summary, a tensor density transformation is used when analyzing physical systems that involve quantities that do not transform like scalars, vectors, tensors, or spinors under coordinate transformations. This approach weights the tensor transformation and takes into account factors such as the four-volume element in general relativity. It is necessary to use tensor densities in order to maintain invariance in certain actions and to avoid contradictions.
  • #1
aeson25
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Why use a tensor density transformation when doing a coordinate transformations? What is the advantage? I've always learn that transforming a tensor involves pre and post multiplying by the transformation tensor and it's inverse respectively, but I've come across ones in my research that use the tensor density approach which weights the tensor transformation, and would like to know the justification for using the tensor density. I've looked all over the net and I can only find the pure definition of a tensor density, but not why it's used especially over non weighted transformations. Can anyone add insight?
 
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  • #3
It may be the case that when analyzing some physical system and it's behavior under coordinate transformations that one is working not just with scalar/vector/tensor/spinor/... quantities (that transform in the usual way under coordinate transformations) but other non-tensor/spinor quantities, such as the four-volume element ##d^4 x## in GR, which also change when one performs a coordinate transformation, changing the way tensors do but including a Jacobian of the transformation - this is clearly similar but still different to how scalars/vectors/... transform under coordinate transformations and so it's given a new name - a tensor density. In GR you can add a factor (the ##\sqrt{-g}## as mentioned in the limk) into the action to correct for the behavior of the ##d^4 x## tensor density to end up with a scalar, but if for some reason we couldn't do that in a given action and still needed the action to remain invariant, we could define the fields involved (and their derivatives) to transform in such a way that it overall leaves the action invariant, forcing us to work with tensor densities as fields.
 
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  • #4
Because that's the rule for transforming tensor densities. Perhaps you simply need to work with an object that transforms somewhat like a density and is entirely mathematical, i.e. it is not some charge density, that must be a density by definition.

Consider the determinant of the metric ##g=\det\left(g_{\alpha\beta}\right)##. Is it a scalar? Well, it certainly is rank zero, but now look at how it transforms. Consider a different coordinate system, say ##\bar{S}## with metric tensor ##\bar{g}_{\alpha\beta}##. So what is the determinant of the metric tensor in that coordinate system?

Well one way to go is to say:

##\bar{g}=\det\left(\bar{g}_{\alpha\beta}\right)##

but also

##\bar{g}=\det\left(\frac{\partial x^\mu}{\partial \bar{x}^\alpha}\frac{\partial x^\nu}{\partial \bar{x}^\beta}g_{\mu\nu}\right)##

After some effor you will find that:

##\bar{g}=\left(\frac{\partial(x)}{\partial (\bar{x})}\right)^2 g##

So ##g## does not transform as a scalar. There are other quantities that will also not transform like scalars, if you want to work with these quantities you need to respect this (or you will get contradictions)
 

Related to Use of tensor densities in coordinate transformation

1. What are tensor densities and how are they different from tensors?

Tensor densities are mathematical objects that transform like tensors under coordinate transformations, but also include a density weight factor. This density weight factor allows tensor densities to transform correctly when the coordinate system's volume element changes. In contrast, tensors do not have a density weight factor and transform differently under coordinate transformations.

2. Why are tensor densities useful in coordinate transformation?

Tensor densities are useful in coordinate transformation because they transform correctly under changes in the coordinate system's volume element. This makes them particularly useful in mathematical models that involve integration or differentiation, such as in fluid mechanics or general relativity. Additionally, tensor densities can simplify the calculations involved in coordinate transformations.

3. How do you perform a coordinate transformation using tensor densities?

To perform a coordinate transformation using tensor densities, you first need to express the tensor density in terms of the new coordinate system. This is done by multiplying the tensor density by the density weight factor, which is the determinant of the Jacobian matrix of the coordinate transformation. Then, the transformed tensor density is obtained by applying the usual tensor transformation rules.

4. Can tensor densities be used in any coordinate system?

Yes, tensor densities can be used in any coordinate system as long as the coordinate transformation is well-defined and invertible. This means that the transformation must be one-to-one, with no overlapping or missing regions in the new coordinate system. Additionally, the coordinate transformation must be smooth and continuously differentiable to ensure that the tensor density transforms correctly.

5. Are there any limitations to using tensor densities in coordinate transformation?

One limitation of using tensor densities in coordinate transformation is that they can only be used in transformations between coordinate systems with the same dimensionality. This means that a tensor density defined in a three-dimensional space cannot be transformed to a tensor density in a two-dimensional space. Additionally, the coordinate transformation must preserve the orientation of the coordinate system for the tensor density to transform correctly.

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