Nearly Lorentz Coordinate Systems: Is h a Tensor?

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SUMMARY

The discussion centers on the concept of Nearly Lorentz coordinate systems as introduced in Schutz's "A First Course in GR." The metric is expressed as ##g_{\alpha\beta} = \eta_{\alpha\beta} + h_{\alpha\beta}##, where h represents a small deviation from the Minkowski metric. The Background Lorentz transformations show that h transforms as ##h_{\bar\alpha\bar\beta}=\Lambda_\mu^{\bar\alpha}\Lambda_\nu^{\bar\beta} h_{\mu\nu}##, suggesting that h can be treated as a tensor in special relativity (SR). However, Schutz clarifies that h is not a tensor but a component of the metric g, leading to confusion regarding its classification.

PREREQUISITES
  • Understanding of tensor calculus and its definitions.
  • Familiarity with the Minkowski metric and its properties.
  • Knowledge of Lorentz transformations and their applications in special relativity.
  • Basic concepts of general relativity as presented in Schutz's textbook.
NEXT STEPS
  • Study the properties of tensors, specifically (0,2) tensors, in detail.
  • Explore the implications of Background Lorentz transformations on metric tensors.
  • Investigate the differences between tensors and non-tensors in the context of general relativity.
  • Read further on the role of perturbations in metric tensors and their physical significance.
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Students of general relativity, physicists interested in the mathematical foundations of GR, and anyone seeking to clarify the distinctions between tensors and non-tensors in the context of coordinate transformations.

Silviu
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Hello! I am reading Schutz A first course in GR and he introduces the Nearly Lorentz coordinate systems as ones having a metric such that ##g_{\alpha\beta} = \eta_{\alpha\beta} + h_{\alpha\beta}##, with h a small deviation from the normal Minkowski metric. Then he introduces the Background Lorentz transformations (this is section 8.3 in the second edition) in which all the points are transformed as ##x^{\bar\alpha}=\Lambda_\beta^{\bar\alpha}x^\beta##. Applying this transformation to g he gets in the end that h transforms as ##h_{\bar\alpha\bar\beta}=\Lambda_\mu^{\bar\alpha}\Lambda_\nu^{\bar\beta} h_{\mu\nu}## and from here he says that we can treat h as if it was a tensor in SR and this simplify the calculations a lot. Can someone explain to me why ones need all these calculations for this? I am sure I am missing something but h is the difference between g and ##\eta## so isn't it a tensor, just because it is the difference between 2 tensors? Why do you need a proof for it? Moreover Schutz says that h "it is, of course, not a tensor, but just a piece of ##g_{\alpha\beta}##". So can someone explain to me why isn't h a tensor and why my logic is flawed? Thank you!
 
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Why is ##\eta_{\alpha\beta}## a tensor?
 
martinbn said:
Why is ##\eta_{\alpha\beta}## a tensor?
Well a tensor (in this case a ##(0,2)## tensor) is a function that turns 2 vectors into a real number. ##\eta## is a 4x4 matrix so it behaves like a ##(0,2)## tensor, when applied to a 4D vector (which is our case).
 

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