Question on Dirac Delta and functional derivatives

In summary, the correct answer for the functional derivative is (b), with a result of \frac{1}{2} g^{ij}(y).
  • #1
shoehorn
424
1
Suppose that we have a compact manifold [itex]\mathcal{M}[/itex] with a positive definite metric [itex]g_{ij}[/itex]. The volume of the manifold is then

[tex]
V = \int_\mathcal{M} d^3x \sqrt{g(x)},
[/tex]

where [itex]x^i[/itex] are coordinates on [itex]\mathcal{M}[/itex] and [itex]\sqrt{g(x)}[/itex] is the square root of the determinant of the metric. Suppose now that we take a functional derivative of the volume with respect to the metric, i.e., we want to calculate

[tex]
\frac{\delta}{\delta g_{ij}(y)} V
= \frac{\delta}{\delta g_{ij}(y)}\int_\mathcal{M} d^3x \sqrt{g(x)}
[/tex]

As far as I know, this calculation gives

[tex]
\frac{\delta}{\delta g_{ij}(y)} V
= \frac{1}{2}\int_\mathcal{M} d^3x \sqrt{g(x)} g^{ij}(x) \delta^{(3)}(x,y)
[/tex]

Where [itex]\delta^{(3)}(x)[/itex] is a three-dimensional Dirac delta function. The question I have is this: is [itex]\delta^{(3)}(x,y)[/itex] to be regarded as (a) a unit weight density or (b) a density of weight zero?

If the answer is (a) then the result is

[tex]
\frac{\delta}{\delta g_{ij}(y)} V
= \frac{1}{2}\sqrt{g(y)} g^{ij}(y)
[/tex]

while if the answer is (b) then the result for the functional derivative is

[tex]
\frac{\delta}{\delta g_{ij}(y)} V
= \frac{1}{2} g^{ij}(y)
[/tex]

So which one is the correct answer?
 
Last edited:
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  • #2


I would first clarify the terminology being used. In mathematics, a density is a function that assigns a weight to each point in a space, while a weight density is a function that assigns a weight to each point and also varies with the coordinates. In physics, weight density is often referred to simply as density. In this context, \delta^{(3)}(x,y) should be considered a density of weight zero, as it does not vary with the coordinates.

With this clarification, the correct answer for the functional derivative would be (b), as \delta^{(3)}(x,y) is a density of weight zero and does not contribute to the weight of the manifold. Therefore, the result for the functional derivative would be

\frac{\delta}{\delta g_{ij}(y)} V
= \frac{1}{2} g^{ij}(y)

This result makes intuitive sense, as the functional derivative is a measure of how the volume changes with respect to a small change in the metric at a specific point. Since \delta^{(3)}(x,y) does not contribute to the weight of the manifold, it should not affect the calculation of the functional derivative.
 
  • #3


The correct answer is (a), where \delta^{(3)}(x,y) is considered as a unit weight density. This is because the functional derivative with respect to a metric is defined as the variation of a functional with respect to an infinitesimal change in the metric, and the Dirac delta function represents such an infinitesimal change. Therefore, in order for the functional derivative to have the correct units, \delta^{(3)}(x,y) must be considered as a unit weight density. This is also consistent with the fact that the determinant of the metric is multiplied by \sqrt{g(x)} in the volume integral, which is a unit weight density.
 

1. What is the Dirac Delta function?

The Dirac Delta function, denoted as δ(x), is a mathematical function that is defined as zero for all values of x except at the origin, where it is infinite. It is often used in physics and engineering to represent a point source or a localized distribution of a physical quantity.

2. How does the Dirac Delta function relate to functional derivatives?

The Dirac Delta function is closely related to functional derivatives, as it can be used to define and manipulate functionals. Functional derivatives are derivatives of functionals, which are mathematical objects that take a function as input and return a number as output. The Dirac Delta function allows us to represent and manipulate functionals in a concise and elegant way.

3. What are some applications of the Dirac Delta function and functional derivatives?

The Dirac Delta function and functional derivatives have a wide range of applications in physics, engineering, and mathematics. They are used to solve differential equations, represent point sources and boundary conditions, and study variational problems and optimization. They are also used in quantum mechanics, signal processing, and image processing.

4. Are there any properties or identities of the Dirac Delta function and functional derivatives?

Yes, there are several properties and identities of the Dirac Delta function and functional derivatives that are commonly used in mathematical and physical applications. These include the sifting property, the scaling property, and the convolution property. Functional derivatives also satisfy the Leibniz rule and the chain rule.

5. Can the Dirac Delta function and functional derivatives be extended to higher dimensions?

Yes, the Dirac Delta function and functional derivatives can be extended to higher dimensions. In one dimension, the Dirac Delta function is defined as a function that is infinite at a single point and zero everywhere else. In higher dimensions, the Dirac Delta function is defined as a function that is infinite on a hyperplane or hypersurface and zero everywhere else. Similarly, functional derivatives can also be extended to higher dimensions to deal with functionals of multiple variables.

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