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Last updated on September 27, 2025
The derivative of the delta function, often represented as the derivative of δ(x), serves as a tool to understand how a distribution changes in response to a slight shift in its input. Derivatives are crucial in many fields, including signal processing and physics. We will explore the derivative of the delta function in depth.
Understanding the derivative of the delta function involves analyzing how the delta function, δ(x), behaves under differentiation. The delta function itself is a distribution, not a traditional function, and is defined such that ∫δ(x)f(x)dx = f(0) for any test function f(x). Its derivative, denoted as δ'(x), also acts on test functions and is defined by ∫δ'(x)f(x)dx = -f'(0).
Here are some key concepts:
Delta Function: δ(x) behaves as an identity operator under integration.
Test Function: A smooth function used to probe the behavior of distributions.
Differentiation of Distributions: Techniques to extend the concept of derivatives to distributions.
The derivative of the delta function can be expressed in terms of its action on a test function f(x). The formula is: ∫δ'(x)f(x)dx = -f'(0) This formula is valid for any smooth test function f(x).
It highlights that the derivative of the delta function captures the rate of change at the point of evaluation, effectively negating the derivative of the test function at zero.
To derive the properties of the derivative of the delta function, we use the framework of distributions. The derivative is defined through its action on test functions.
There are several methods to understand this, such as:
We will demonstrate that δ'(x) acts on test functions by negating their derivatives at zero using these methods:
The definition of δ'(x) can be shown using integration by parts, where the boundary terms vanish: ∫δ'(x)f(x)dx = -∫δ(x)f'(x)dx = -f'(0) Thus, the derivative of δ(x) acts by negating the test function's derivative at zero.
The sifting property of δ(x) states that ∫δ(x-a)f(x)dx = f(a). Differentiating both sides with respect to a, we obtain: ∫δ'(x-a)f(x)dx = -f'(a) For a = 0, this simplifies to the previous result.
In distribution theory, δ'(x) is defined such that, for any test function f(x): ∫δ'(x)f(x)dx = -∫δ(x)f'(x)dx Using the properties of δ(x), this holds true, affirming its definition.
Higher-order derivatives of the delta function involve repeated application of the derivative operation. For distributions, these can be thought of as capturing higher rates of change.
For example, the second derivative δ''(x) acts on test functions as: ∫δ''(x)f(x)dx = f''(0) This concept continues for higher derivatives, providing insight into the behavior of functions or distributions in response to input changes.
When the delta function is at x = a, δ(x-a) shifts the evaluation point of the test function to a. The derivative of δ(x-a), δ'(x-a), negates the derivative of the test function at a.
At x = 0, δ'(x) specifically targets the rate of change at zero.
When working with the derivative of the delta function, students often make mistakes. These can be avoided by understanding the formalism of distributions. Here are some common mistakes and solutions:
Calculate the effect of δ'(x) on the test function f(x) = e^(-x^2).
Consider f(x) = e^(-x^2). The effect of δ'(x) on this test function is given by: ∫δ'(x)e^(-x^2)dx = -f'(0) Differentiating f(x), f'(x) = -2xe^(-x^2) At x = 0, f'(0) = 0 Thus, the effect of δ'(x) on e^(-x^2) is 0.
We determine the effect of δ'(x) by evaluating the derivative of the test function at zero.
Since the derivative is zero at that point, δ'(x) has no effect on this test function.
A system is modeled by the impulse response δ'(t-1). How does this affect the input signal g(t) = sin(t) at t = 1?
The derivative δ'(t-1) acts on the input signal g(t) = sin(t) as follows: ∫δ'(t-1)sin(t)dt = -g'(1) The derivative of g(t) is g'(t) = cos(t) At t = 1, g'(1) = cos(1) Thus, δ'(t-1) affects g(t) by -cos(1) at t = 1.
The derivative δ'(t-1) shifts the evaluation point of the derivative of the input signal to t = 1 and negates it.
The result is -cos(1), which shows how the impulse response affects g(t).
Derive the second derivative effect of δ''(x) on the function h(x) = ln(1+x^2).
First, find the first derivative of h(x): h'(x) = 2x/(1+x^2) Second, find the second derivative: h''(x) = (2(1+x^2) - 4x^2)/(1+x^2)^2 At x = 0, h''(0) = 2 So the effect of δ''(x) on h(x) is 2.
To find the effect of δ''(x), we calculate the second derivative of the test function at zero.
This gives the effect of δ''(x) as 2, showing how the second derivative influences the function.
Prove: ∫δ'(x-a)g(x)dx = -g'(a).
Using the sifting property of the delta function, ∫δ(x-a)g'(x)dx = g'(a). Differentiating under the integral sign, we have: ∫δ'(x-a)g(x)dx = -g'(a) This confirms the definition of δ'(x-a) by negating the derivative of g(x) at a.
In this proof, we apply the sifting property and show how the derivative of the delta function affects the test function, confirming the expected result by negating g'(a).
Solve: ∫δ'(x)cos(x)dx.
The effect of δ'(x) on cos(x) is given by: ∫δ'(x)cos(x)dx = -d/dx[cos(x)] at x=0 The derivative of cos(x) is -sin(x) Thus, at x=0, the result is -(-sin(0)) = 0.
We apply the definition of δ'(x) by finding the derivative of the test function cos(x) at zero.
Since sin(0) is zero, the effect of δ'(x) on cos(x) is zero.
Jaskaran Singh Saluja is a math wizard with nearly three years of experience as a math teacher. His expertise is in algebra, so he can make algebra classes interesting by turning tricky equations into simple puzzles.
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