Why is the derivative of |x| not equal to sgn(x) + 2xδ(x)?

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SUMMARY

The derivative of the absolute value function |x| is correctly stated as d/dx |x| = sgn(x), not sgn(x) + 2xδ(x). The confusion arises from the application of the product rule, where the term 2xδ(x) is considered. This term is zero for all x due to the properties of the Dirac delta function, which leads to the conclusion that the derivative of |x| simplifies to sgn(x). The derivative of sgn(x) as a distribution is valid, but the chain rule does not apply in this context.

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The wikipedia article on \sgn (x) (http://en.wikipedia.org/wiki/Sign_function) states that,

<br /> \frac{d}{dx}\vert x\vert = \sgn(x)<br />

and \frac{d}{dx}\sgn(x) = 2\delta(x). I'm wondering why the following is not true:

<br /> \begin{align*}<br /> \vert x\vert &amp;= x\sgn(x)\\<br /> \Longrightarrow \frac{d}{dx}\vert x \vert &amp;= \sgn(x) + 2x\delta(x) <br /> \end{align*}<br />

by the product rule for derivatives. Is it because this derivative is indeterminate at x=0, and 2x\delta(x) \equiv 0 for all x \neq 0?
 
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The stated derivative of ##\text{sgn}## is the derivative of ##\text{sgn}## as a distribution, but for distributions that are not identifiable with differentiable functions the chain rule don't apply in general.
 
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It is quite common that formal calculations still give correct results in some sense, even if they are not fully justified.

In this case I don't see anything wrong with the formula

<br /> \frac{d}{dx}|x| = \textrm{sgn}(x) + 2x\delta(x)<br />

Simply subsitute 2x\delta(x)=0 and you get the previous formula

<br /> \frac{d}{dx}|x| = \textrm{sgn}(x)<br />

For test function f we have

<br /> \int\limits_{-\infty}^{\infty} f(x) 2x\delta(x)dx = 0<br />

so in this sense 2x\delta(x)=0 holds "for all x", not only for x\neq 0.
 
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The formula is true, because x\cdot \delta is actually the zero distribution.
 

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