Diagonalization of metric matrix in general relativity

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Discussion Overview

The discussion revolves around the diagonalization of the metric matrix (g_{uv}) in general relativity, exploring whether this is feasible and under what conditions. Participants examine the implications of using complex numbers and the tetrad formalism in this context.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that it is possible to diagonalize the metric in a small region with an appropriate choice of coordinates, but not everywhere due to the non-flat nature of space-time.
  • Others argue that every quadratic form can be diagonalized, although the basis for diagonalization may not always be a coordinate basis.
  • A participant mentions that the metric on the Earth's surface in spherical polar coordinates is diagonal, and cites the Schwarzschild metric as another example of a diagonal metric.
  • There is a suggestion that the introduction of complex numbers may not be relevant to the diagonalization problem as initially posed.
  • Some participants inquire about the diagonalization of a specific matrix form and whether a general algorithm can be used without knowing the components explicitly, referencing Sylvester's Law of Inertia.
  • One participant introduces the tetrad formalism, suggesting that it provides a way to work with a trivial metric in tangent space without the need for complex numbers.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility of diagonalizing the metric matrix in general relativity, with some asserting it is always possible under certain conditions while others highlight limitations based on the nature of space-time. The discussion remains unresolved regarding the implications of using complex numbers and the specifics of diagonalization methods.

Contextual Notes

There are limitations in the discussion regarding the assumptions about the nature of the metric and the conditions under which diagonalization is considered. The dependence on specific coordinate choices and the implications of using different mathematical frameworks, such as the tetrad formalism, are also noted but not fully resolved.

exponent137
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1. Is its possible diagonalization of metric matrix (g_{uv}) in general relativity?

2. If we include imaginary numbers, can this help?
 
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It's possible to diagonalize the metric in a small region, by the proper choice of coordinates. It's not possible to diagonalize it everywhere, because space-time is not flat. It's rather like asking if it's possible to make an accurate map of the Earth's surface that correctly represents distances "to scale" without distortion, covering the entire surface. This is possible on a globe, but not possible on a flat sheet of paper.

I'm not sure where complex numbers come into the problem, perhaps you're asking some question other than the one I thought you were asking.
 
It's possible to diagonalize the metric in a small region, by the proper choice of coordinates. It's not possible to diagonalize it everywhere, because space-time is not flat. It's rather like asking if it's possible to make an accurate map of the Earth's surface that correctly represents distances "to scale" without distortion, covering the entire surface. This is possible on a globe, but not possible on a flat sheet of paper.

Flat is not the issue. The metric on the Earth's surface in the usual spherical polar coordinates *is* diagonal. The Schwarzschld metric is diagonal too.
 
Oooops. My remarks were mistakenly off-topic (about making the metric unity, not diagonal).

Offhand, I'm not sure what it takes to make a general metric diagonal - though the only non-diagonal metric I can think of offhand is the Kerr metric.
 
Every quadratic form (and hence every line element) can be written as a sum of N squares, where some of the squares have a minus sign in front, according to the signature of the quadratic form. So yes, the metric can always be diagonalized. However, the basis in which it diagonalizes is not always a coordinate basis.

Actually, what I've just described is the process of finding the orthonormal frames.
 
Say we are given a particular matrix that has the following form

[tex] G_{\alpha\beta}=<br /> \begin{pmatrix}<br /> 0 & 0 & 0 & 0 \\<br /> 0 & G_{11} & G_{12} & G_{13} \\<br /> 0 & G_{21} & G_{22} & G_{23} \\<br /> 0 & G_{31} & G_{32} & G_{33}<br /> \end{pmatrix}[/tex]

Is it possible to diagonalize this matrix using only a general algorithm, or must the components be known explicitly?
 
jfy4 said:
Say we are given a particular matrix that has the following form

[tex] G_{\alpha\beta}=<br /> \begin{pmatrix}<br /> 0 & 0 & 0 & 0 \\<br /> 0 & G_{11} & G_{12} & G_{13} \\<br /> 0 & G_{21} & G_{22} & G_{23} \\<br /> 0 & G_{31} & G_{32} & G_{33}<br /> \end{pmatrix}[/tex]

Is it possible to diagonalize this matrix using only a general algorithm, or must the components be known explicitly?
I used to know how to do this, 30 years ago. Look up "Sylvester's Law of Inertia".
 
jfy4 said:
Say we are given a particular matrix that has the following form

[tex] G_{\alpha\beta}=<br /> \begin{pmatrix}<br /> 0 & 0 & 0 & 0 \\<br /> 0 & G_{11} & G_{12} & G_{13} \\<br /> 0 & G_{21} & G_{22} & G_{23} \\<br /> 0 & G_{31} & G_{32} & G_{33}<br /> \end{pmatrix}[/tex]

Is it possible to diagonalize this matrix using only a general algorithm, or must the components be known explicitly?

Of course you can, using the same method you would use to diagonalize any 3x3 matrix.
 
So, because diagonalization is always possible, space-time of Minkowski can be generalized to general relativity. The question is only, if such changed space-time axes have any meaning?
 
Last edited:
  • #10
exponent137 said:
1. Is its possible diagonalization of metric matrix (g_{uv}) in general relativity?

2. If we include imaginary numbers, can this help?
By introducing the tetrad (4-bein) formalism you do something like that; the tetrad is a map between the manfold and its tangent space; on the tangent space you have a trivial (+---) metric. The tetrads can be used as dynamical variables instead of the metric. They have real components, so there is no need for complex numbers.
 

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