What is the determinant of a Lorentz transformation matrix?

In summary, the conversation discusses the proof that the determinant of any matrix representing a Lorentz transformation is plus or minus 1. The speaker mentions that they are able to see the determinant of the Lorentz transformation matrix is 1, but are unsure how to prove it for a general case. They also mention that rotations in spatial planes can also be considered Lorentz transformations and that the determinant of a 3D rotation must be checked to be plus or minus 1. The conversation then shifts to discussing the determinant of a matrix version of the Lorentz transformation and how to prove that it is equal to the product of the Lorentz transformation matrix and its transpose.
  • #1
vin300
603
4
I have been asked to prove that the determinant of any matrix representing a Lorentz transformation is plus or minus 1. I can see that the determinant of the Lorentz transformation matrix is 1, but don't know how to prove +-1 in general. How to generalise the lorentz transformation? I've also read that rotations in the spatial planes also constitute L.T., that any transformation that keeps the metric invariant is an L.T.
 
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  • #2
Since any arbitrary LT is either a boost between timelike and spacelike directions, a rotation between spacelike directions, or a combination of the two, I think all you need is to check that the determinant of a 3D rotation is [itex]\pm 1[/itex]. After that, if [itex]\underline L \underline R[/itex] both represent LT's, then what do you know about

[tex]\det (\underline L \underline R) = ?[/tex]
 
  • #3
Reversal of the space or time axis produces a matrix of determinant -1. That proves that any LT matrix has determinant [itex]\pm 1[/itex]. det(LR)=det(L)det(R), so again, the resulting matrix has determinant [itex]\pm 1[/itex].
 
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  • #4
How to prove that the matrix version of ηa'b'= Ama'Anb'ηmn is η= ATηA, where A is an LT matrix?
 

What is a determinant of a linear transformation matrix?

The determinant of a linear transformation matrix is a value that is calculated from the elements of the matrix and represents the scaling factor of the transformation. It is used to determine whether the transformation preserves the orientation and the size of the objects being transformed.

How is the determinant of a linear transformation matrix calculated?

The determinant of a linear transformation matrix is calculated by multiplying the elements of the first row by their corresponding cofactors and adding them together. This process is then repeated for each row, alternating between adding and subtracting the products. The final result is the determinant of the matrix.

What does the determinant of a linear transformation matrix tell us about the transformation?

The determinant of a linear transformation matrix tells us whether the transformation preserves the orientation and size of the objects being transformed. If the determinant is positive, the transformation preserves both orientation and size. If the determinant is negative, the transformation preserves orientation but reverses the size. If the determinant is zero, the transformation collapses the object into a lower dimension.

Can the determinant of a linear transformation matrix be negative?

Yes, the determinant of a linear transformation matrix can be negative. This occurs when the transformation preserves orientation but reverses the size of the objects being transformed. In other words, the transformation results in a mirror image of the original object.

Why is the determinant of a linear transformation matrix important?

The determinant of a linear transformation matrix is important because it can tell us whether the transformation preserves important geometric properties, such as orientation and size. It is also used in solving systems of linear equations and finding the inverse of a matrix.

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