Derivative of dirac delta function

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The discussion focuses on proving the relationship x(d/dx)δ(x) = -δ(x) using the Gaussian delta sequence. Participants emphasize that the delta function is a distribution, which complicates its differentiation in the classical sense. They suggest evaluating the limit of the integral involving the derivative of the Gaussian sequence to establish the desired result. The importance of generalized derivatives and integration in characterizing the delta function's behavior is highlighted. Overall, the conversation revolves around understanding the mathematical framework necessary for working with the Dirac delta function and its derivatives.
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Homework Statement



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x\frac{d}{dx}\delta(x)=-\delta)(x)

using the gaussian delta sequence (\delta_n) and treating \delta(x) and its derivative as in eq. 1.151.

Homework Equations


the gaussian delta sequence given in the book is
\delta_n=\frac{n}{\sqrt{\pi}}e^{-n^2x^2}

and eq 1.151 is just part of the definition of the delta function:
f(0)=\displaystyle\int_{-\infty}^{\infty}f(x)\delta(x)dx


The Attempt at a Solution



thus far, I have tried substitution the derivative of \delta_n(x) for the derivative of the delta function, and then taking the limit as n goes to infinity, but that got me nowhere. I have also tried integrating both sides to see where it got me, but that was nowhere useful. The problem is I just don't understand how the derivative of the delta function works on its own.
 
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The delta function is actually a distribution, and is not differentiable in the classical sense. In order to consider such differentiation, we have to revert to generalized derivatives. This is done by assuming a certain level of differentiability on f and some vanishing conditions.

If f is a smooth function with compact support on a set D, the generalized derivative v' of a distribution v is any function w such that
\int_D v' f dx = - \int_D w f' dx
Since the delta function is a distribution, it only truly makes sense to characterize its derivative under integration.
 
You may want to take a look at the following two pdfs:

This link talks about generalized derivatives
http://links.uwaterloo.ca/amath731docs/sobolev.pdf

This link talks about the Dirac delta distribution
http://links.uwaterloo.ca/amath731docs/delta.pdf
 
Okay, I realize that what I gave you may not be entirely helpful since you have to use the Gaussian sequence.

We know that
\displaystyle \lim_{n\to\infty} \delta_n = \delta [/itex]<br /> and that it only makes sense to consider the delta function under the integral. So try evaluating<br /> \lim_{n\to\infty} \int_{-\infty}^\infty x \frac{d}{dx} \delta_n \ dx [/itex]&lt;br /&gt; then show that the value you get is equivalent to&lt;br /&gt; \int_{-\infty}^\infty -\delta(x) \ dx
 
your first answer, and the fact that it only makes sense under integration, actually got me doing just what you suggested, so thanks. THanks for the links too, I was looking for good resources on the delta function. I think I have it now.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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