Get Lorentzian Spherically Symmetric Metric to Sylvester Form

Click For Summary
To transform a Lorentzian spherically symmetric spacetime metric into Sylvester normal form, one must perform an orthogonal diagonalization of the symmetric matrix representing the metric. This involves calculating the eigenvectors to obtain a diagonal matrix with one negative and the rest positive entries. Rescaling the coordinates will adjust the entries to -1 and +1, achieving the desired form. However, this process often results in a non-holonomic basis, which is not derived from any coordinate system. An example provided is the Schwarzschild spacetime, illustrating the application of this transformation.
tut_einstein
Messages
31
Reaction score
0
Hi,

I'm trying to determine the exact transformation that brings a spherically symmetric spacetime metric in spherical coordinates to the Sylvester normal form (that is, with just 1 or -1 on its main diagonal, with all other elements equal to zero.) Assuming that the metric has Lorentzian signature, does anyone know how to determine the exact transformation that achieves this?

Thanks.
 
Physics news on Phys.org


This is essentially nothing more than the orthogonal diagonalisation of a symmetric matrix that you probably did loads of times when you first learned about matrices. The coordinate transformation can be calculated from the matrix of eigenvectors. This gives a diagonal matrix, which should have one negative and the rest positive entries. Then you just have to rescale the coordinates to make the entries -1 and +1.
 


henry_m said:
Then you just have to rescale the coordinates to make the entries -1 and +1.

tut_einstein, this, in general, results in a non-holonomic basis. i.e., one that is not induced by any coordinate system. As a specific example, consider Schwarzschild spacetime,

https://www.physicsforums.com/showthread.php?t=102902
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 17 ·
Replies
17
Views
2K
  • · Replies 12 ·
Replies
12
Views
2K
  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 3 ·
Replies
3
Views
4K
Replies
1
Views
1K