Normalization of a delta function in curved spacetime

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Discussion Overview

The discussion revolves around the normalization of the delta function in the context of curved spacetime. Participants explore the validity of two integral expressions involving the delta function and its behavior under transformations, particularly in relation to the metric and scalar densities.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Some participants argue that the integral \(\int d^4 x \delta^4(x - x_0) = 1\) is incorrect in curved spacetime due to the delta function not transforming properly, while the differential transforms differently, suggesting that the whole expression must behave as a scalar.
  • Others propose that the correct definition involves the integral \(\int_M F(x^{\mu})[\frac{\delta^{(4)}(x^{\sigma}-y^{\sigma})}{\sqrt{-g}}]\sqrt{-g}d^4x=F(y^{\sigma})\), indicating a different perspective on the normalization of the delta function.
  • One participant asserts that the delta function is a scalar density, providing examples from one-dimensional transformations and polar coordinates to support this claim.
  • Another participant reiterates the previous points about the normalization of the delta function, emphasizing that the delta distribution should be treated as a density and suggesting a transformation to tensorize it.

Areas of Agreement / Disagreement

Participants express differing views on the normalization of the delta function in curved spacetime, with no consensus reached on which integral expression is correct or how the delta function should be classified. Multiple competing views remain regarding its properties and transformations.

Contextual Notes

Participants highlight the dependence of the delta function's behavior on the metric and the nature of transformations in curved spacetime, indicating potential limitations in the assumptions made about scalar and density classifications.

jdstokes
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Which of the following are true in curved spacetime?

[itex]\int d^4 x \delta^4(x - x_0) = 1[/itex] (1)

[itex]\int d^4 x \sqrt{-g} \delta^4(x - x_0) = 1[/itex] (2)

I think the first one is incorrect in curved spacetime, or in general when the metric is non-constant. I would argue this by saying that the delta function does not transform, whereas the fourth-order differential transforms in the opposite way to [itex]\sqrt{-g}[/itex], so the whole thing transforms as a scalar as it must.

I've also heard that [itex]\delta^4[/itex] is not a scalar, which suggests that (1) is the correct statement. However, this seems strange to me as I would think that (1) will fail to hold in curvilinear coordinates e.g.
 
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actually the right difinition is
[tex]\int_M F(x^{\mu})[\frac{\delta^{(4)}(x^{\sigma}-y^{\sigma})}{\sqrt{-g}}]\sqrt{-g}d^4x=F(y^{\sigma})[/tex]
 
The delta function is a scalar density. You don't need curved space or four dimensions to see this, it follows from the identity δ(f(x)) = (1/|f '(x0)|) δ(x-x0) where f(x0) = 0. For example δ(3x) = (1/3) δ(x). Or take plane polar coordinates: δ(x) ≡ δ(x) δ(y) = (1/r) δ(r) δ(Θ).
 
Last edited:
jdstokes said:
Which of the following are true in curved spacetime?

[itex]\int d^4 x \delta^4(x - x_0) = 1[/itex] (1)

[itex]\int d^4 x \sqrt{-g} \delta^4(x - x_0) = 1[/itex] (2)

I think the first one is incorrect in curved spacetime, or in general when the metric is non-constant. I would argue this by saying that the delta function does not transform, whereas the fourth-order differential transforms in the opposite way to [itex]\sqrt{-g}[/itex], so the whole thing transforms as a scalar as it must.

I've also heard that [itex]\delta^4[/itex] is not a scalar, which suggests that (1) is the correct statement. However, this seems strange to me as I would think that (1) will fail to hold in curvilinear coordinates e.g.

I'd say that

[itex]\int d^4 x \delta^4(x - x_0) = 1[/itex]

is the usual definition. The RHS is trivially a scalar. The measure on the LHS is a density. So the delta distribution is also a density, as was mentioned by others here.

You can "tensorize" the delta distribution by defining

[tex] \delta^4(x - x_0) \rightarrow \frac{\delta^4(x - x_0) }{\sqrt{g}}[/tex]
 

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