D'Alambertian operator on the heaviside function?

AI Thread Summary
The discussion centers on computing the D'Alembertian operator applied to the Heaviside function, specifically the expression \Box \theta(x_{0})=\partial_{0}\partial^{0}\theta(x_{0}). It is established that the first derivative of the Heaviside function yields the Dirac delta function, \partial_{0}\theta(x_{0})=\delta(x_{0}), but the second derivative remains unclear. The conversation highlights that the action of the second derivative on a smooth function results in a specific evaluation, yet complications arise when attempting to multiply distributions, as in the case of \Box [\theta(x_{0})\phi(x)\phi^{\dagger}(0)]. It is noted that classical distribution theory does not support the multiplication of distributions, although Colombeau's theory may provide a solution to this issue. The thread concludes with a focus on the mathematical challenges of handling products of distributions in this context.
Dixanadu
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Hey guys,

How does one compute the following quantity:

\Box \theta(x_{0})=\partial_{0}\partial^{0}\theta(x_{0})?

I know that \partial_{0}\theta(x_{0})=\delta(x_{0}) which is the Dirac delta, but what about the second derivative?

Thanks everyone!
 
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Heaviside and Dirac delta are examples of distributions. They are a kind of generalized function, and only defined by their action on some "test function" in an inner-product. Integrals satisfy the properties of inner products, so choosing some smooth function \varphi (x) that vanishes at infinity, we have,
\int \partial_x\delta(x)\varphi(x) dx = -\int \delta(x) \partial_x \varphi(x) dx = -\partial_x\varphi(0)
using integration by parts.

So the action of the distribution \partial_x^2 \theta(x) on a smooth function \varphi(x) produces -\partial_x\varphi(0)
 
hmm but my situation involves no integrals - basically I'm trying to compute the following:

\Box [\theta(x_{0})\phi(x)\phi^{\dagger}(0)]

where \phi, \phi^{\dagger} are solutions to the complex Klein-Gordon equation.

I've been told that \partial^{0}\theta(x_{0})=\partial_{0}\theta(x_{0})=\delta(x_{0}). I'm not sure how this matches up to what you said above?
 
That product is mathematically ill-defined, because you have a multiplication of 3 distributions. In the so-called classical theory of distributions, there's no way to 'multiply' them.
As a note (rumor), I heard that Colombeau's theory of distributions somehow addresses this issue.
 
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