Integrating with the Dirac delta distribution

In summary: In other words, you can only equate functions that are equal almost everywhere. In summary, the integral is constant for ##\epsilon > 0##, but as ##\epsilon \rightarrow 0^+##, the limit is equal to ##f(y)##. The notation ##\delta^{(2)}(x)## means a second-order derivative of the Dirac delta function. The equation ##\delta^{(2)}(x-y) f(y) = f''(y)## is not true, as it would imply that ##\delta^{(2)}(x-y)## is a function of only one variable, which is not the case. The correct equation is ##\int_{-\in
  • #1
redtree
285
13
TL;DR Summary
In the definite integral of a delta function, how narrow can the interval be?
Given
\begin{equation}
\begin{split}
\int_{y-\epsilon}^{y+\epsilon} \delta^{(2)}(x-y) f(x) dx &= f^{(2)}(y)
\end{split}
\end{equation}
where ##\epsilon > 0##

Is the following also true as ##\epsilon \rightarrow 0##
\begin{equation}
\begin{split}
\int_{y-\epsilon}^{y+\epsilon} \delta^{(2)}(x-y) f(x) dx &\rightarrow \delta^{(2)}(x-y) f(x)
\\
&= f^{(2)}(y)
\end{split}
\end{equation}

If not, why?
 
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  • #2
The integral is constant for ##\epsilon > 0##, hence the limit as ##\epsilon \rightarrow 0^+## is ##f(y)##.

I'm not sure that the exponent ##^{(2)}## means.
 
  • #3
##\delta^{(2)}(x)= \delta''(x)##

My question: ##\delta''(x-y) f(y) \stackrel{?}{=} f''(y)##
 
  • #4
redtree said:
##\delta^{(2)}(x)= \delta''(x)##
The same applies. If it has that value for all ##\epsilon > 0## then the right-hand limit exists and is equal to the constant value. That doesn't, however, mean that you can set ##\epsilon = 0##.
 
  • #5
For any value of x other than y, the equation is zero. The equation can be written as follows:
\begin{equation}
\begin{split}
\delta(x-y) f(x) &= \begin{array}{cc}
f(y) & \text{ if } x=y \\
0 & \text{ if } x \neq y
\end{array}
\end{split}
\end{equation}

It is simply a simplification of this notation to write ##\delta(x-y) f(x)=f(y)##

Frankly, any function can be written in this fashion (and the same for any derivative), such that
\begin{equation}
\begin{split}
f(y) &= \delta(x-y) f(x)
\end{split}
\end{equation}

I don't see why the integral is necessary.
 
  • #6
redtree said:
##\delta^{(2)}(x)= \delta''(x)##

My question: ##\delta''(x-y) f(y) \stackrel{?}{=} f''(y)##
That would imply that (for all ##x, y## and functions ##f##) we have ##\delta''(x-y)= \frac{f''(y)}{f(y)}##.

Which can't be right at all.
 
  • #7
It is true that ##\delta''(x) * f(x) = \int_{y-\epsilon}^{y+\epsilon} \delta''(x-y) f(x) dx = f''(y)##

Thus, why would it not also be true that:
\begin{equation}
\begin{split}
\delta''(x-y) f(x) = \begin{array}{cc}
f''(y) & \text{ if } x=y \\
0 & \text{ if } x\neq y
\end{array}
\end{split}
\end{equation}
which can be simplified to ##\delta''(x-y) f(x) = f''(y)##
 
  • #8
redtree said:
It is true that ##\delta''(x) * f(x) = \int_{y-\epsilon}^{y+\epsilon} \delta''(x-y) f(x) dx = f''(y)##

Thus, why would it not also be true that:
\begin{equation}
\begin{split}
\delta''(x-y) f(x) = \begin{array}{cc}
f''(y) & \text{ if } x=y \\
0 & \text{ if } x\neq y
\end{array}
\end{split}
\end{equation}
which can be simplified to ##\delta''(x-y) f(x) = f''(y)##
It makes no sense. You can't equate a function of two variables with a function of one variable. I've already proved that it's false. What more can one say? It obviously cannot be true.
 
  • #9
You are right, except that ##x## and ##y## can be considered dummy variables in the convolution ##\delta'' * f = f''##
 
  • #10
redtree said:
Frankly, any function can be written in this fashion (and the same for any derivative), such that
$$ f(y) = \delta(x-y) f(x) $$
No, it can't. You can only say
$$\int_{-\infty}^\infty \delta(x-y) f(x)\,dx = f(y).$$ Note that inclusion of the integral eliminates the problem @PeroK noted. Both sides are functions of only ##y##.

Moreover, sloppily speaking, one has
$$\delta(x) = \begin{cases}
+\infty & x = 0 \\
0 & x \ne 0
\end{cases}$$ so
$$f(x)\delta(x-y) = \begin{cases}
\operatorname{sgn}(f(y))\cdot \infty & x = y \\
0 & x \ne 0
\end{cases}$$ Only by integrating do you get a finite result.
 

1. What is the Dirac delta distribution?

The Dirac delta distribution, also known as the Dirac delta function, is a mathematical concept used in the field of calculus and analysis. It is a generalized function that is defined as zero everywhere except at the origin, where it is infinite, and has an integral of 1 over its entire domain. It is often used to model point masses or impulses in physical systems.

2. How is the Dirac delta distribution integrated with other functions?

The Dirac delta distribution is typically integrated using the concept of convolution. This involves multiplying the Dirac delta function with another function, known as the kernel, and then integrating over the entire domain. The result is a weighted sum of the values of the kernel at the origin, which can be used to solve a variety of mathematical problems.

3. What are some applications of integrating with the Dirac delta distribution?

The Dirac delta distribution has many practical applications in physics, engineering, and mathematics. It is commonly used to model point forces or impulses in mechanical systems, to solve differential equations, and to represent charge distributions in electromagnetism. It is also used in signal processing and image processing to filter out noise and extract specific features from data.

4. Can the Dirac delta distribution be integrated with any function?

The Dirac delta distribution can be integrated with any function that is well-defined and continuous at the origin. However, it is important to note that the result of the integration will only be meaningful if the function being integrated is also continuous and well-behaved at the origin.

5. Are there any limitations to integrating with the Dirac delta distribution?

One limitation of integrating with the Dirac delta distribution is that it can only be used to solve linear problems. Additionally, the resulting solutions may not always be physically realistic, as the Dirac delta function is an idealized mathematical construct. It is important to carefully consider the assumptions and limitations of using the Dirac delta distribution in any application.

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