Dirac delta and exponential

In summary, for n approaching infinity, the approximation \frac{\sin(nx)}{\pi x} \sim \delta (x) holds in the sense of distributions. However, when differentiating, the approximations \frac{\cos (nx)}{x^2} and \frac{1}{x} \delta(x) are not valid as distributions. These approximations are important for computing integrals, but they are only true for small values of n.
  • #1
eljose
492
0
Let be the exponential:

[tex] e^{inx}=cos(nx)+isin(nx) [/tex] [tex] n\rightarrow \infty [/tex]

Using the definition (approximate ) for the delta function when n-->oo

[tex] \delta (x) \sim \frac{sin(nx)}{\pi x} [/tex] then differentiating..

[tex] \delta ' (x) \sim \frac{ncos(nx)}{\pi x}- \frac{\delta (x)}{\pi x} [/tex]

are this approximations true for big "n" ??.. i would like to know this to compute integrals (for big n ) of the form:

[tex] \int_{2}^{\infty} dx f(x,n)e^{inx} [/tex]

thanks...:rolleyes: :grumpy: :tongue2:
 
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  • #2
You can say:

[tex]\frac{\sin(nx)}{\pi x} \rightarrow \delta (x) [/tex]

for [tex]n \rightarrow \infty[/tex] in the sense of distributions. But, by derivating, you have:

[tex] \frac{n x \cos(n x) - \sin(n x)}{\pi x^2} \rightarrow \delta'(x) [/tex].

[tex]\frac{ \cos (n x)}{x^2}[/tex] and [tex]\frac{1}{x} \delta(x)[/tex] are not distributions! They are meaningless as distributions.
 
  • #3


The approximations for the Dirac delta function and exponential are indeed true for large values of n. As n approaches infinity, the exponential term becomes more dominant and the Dirac delta function becomes more concentrated at the origin. This means that the approximation for the delta function becomes more accurate.

Using this approximation, we can compute integrals involving the exponential term for large values of n. The integral provided in the question, \int_{2}^{\infty} dx f(x,n)e^{inx}, can be evaluated using the approximation for the delta function. This can be done by rewriting the integral as \int_{2}^{\infty} dx f(x,n)\frac{sin(nx)}{\pi x} and then taking the limit as n approaches infinity.

In general, the Dirac delta function and exponential are closely related and their approximations can be used to simplify calculations in various mathematical and scientific fields. However, it is important to note that these approximations are only valid for large values of n and may not hold for smaller values. It is always best to check the validity of the approximation before using it in any calculations.
 

1. What is the Dirac delta function and how is it related to the exponential function?

The Dirac delta function is a mathematical function that is defined as zero everywhere except at the origin, where it is infinite. It is often used to represent a point charge or a point mass in physics and engineering. The exponential function, on the other hand, is a mathematical function that is defined as the solution to the differential equation dy/dx = y, and is often used to model growth or decay processes. The connection between the two functions is that the Dirac delta function can be expressed as the derivative of the Heaviside function, which in turn can be written as the integral of the exponential function.

2. How is the Dirac delta function used in physics and engineering?

The Dirac delta function is commonly used in physics and engineering to represent point-like objects such as point charges or point masses. It is also used to model impulse forces, which are short-lived forces that act over a very short period of time. The Dirac delta function is also used in signal processing to represent a perfect impulse, or a signal that has a very short duration but infinite amplitude.

3. What is the Laplace transform of the Dirac delta function?

The Laplace transform of the Dirac delta function is 1, which means that the Dirac delta function is its own Laplace transform. This is because the Laplace transform of a function is defined as the integral of the function multiplied by an exponential function, and since the Dirac delta function is zero everywhere except at the origin, the integral evaluates to 1.

4. Can the Dirac delta function be graphed?

No, the Dirac delta function cannot be graphed in the traditional sense because it is a mathematical function that is defined at a single point and is zero everywhere else. However, it can be represented as a spike or impulse at the origin on a graph, where the height of the spike represents the value of the function at that point.

5. What is the relationship between the Dirac delta function and the Kronecker delta function?

The Dirac delta function and the Kronecker delta function are both mathematical functions that are defined as zero everywhere except at a specific point. However, the main difference between the two is that the Dirac delta function is a continuous function, while the Kronecker delta function is a discrete function. This means that the Dirac delta function can take on any real value at the origin, while the Kronecker delta function can only take on the values of 0 or 1 at its defined point.

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