Proving Average Value of Gaussian Function as k_0

In summary, the average value of k for the given function A(k) is k_0, which is the center of the gaussian function. To find the average value, one can use the equation for average value, which is an integral of x times the probability distribution. This integral is easily evaluated for this function, despite not having an elementary anti-derivative, because of the additional x term. The limits for the integral are from -infinity to +infinity.
  • #1
thenewbosco
187
0
The question says show that the average value of k is [tex]k_0[/tex] for the function [tex]A(k)=\frac{1}{\sqrt{2\pi}a}e^{\frac{-(k-k_0)^2}{2a^2}[/tex].

I know that this is a gaussian function and that the center is k0 but i am not sure how to show this is the average value of k, what equation for average value would i evaluate. is it some kind of integral? and are the limits + and - infinity?
 
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  • #2
For any probability distribution, f(x), the "average" value (more correctly, the mean value), also called the "expected" value, is given by
[tex]\int xf(x)dx[/itex]. While [itex]e^{x^2}[/itex] does not have an elementary anti-derivative, putting that additional x in makes it easy to integrate.
 

Related to Proving Average Value of Gaussian Function as k_0

What is the definition of the average value of a gaussian curve?

The average value of a gaussian curve is also known as the mean or the center of the curve. It is calculated by taking the sum of all the values of the curve and dividing it by the total number of values.

How is the average value of a gaussian curve different from the median?

The average value of a gaussian curve and the median are two different measures of central tendency. While the average value is calculated by summing all the values and dividing by the total number, the median is the middle value when all the values are arranged in ascending or descending order.

Why is the average value of a gaussian curve important?

The average value of a gaussian curve is important because it gives us an idea of the central value of the distribution. It is also used in various statistical calculations and can help us understand the spread or variability of the data.

How can the average value of a gaussian curve be affected by outliers?

If there are outliers (extreme values) in the data, the average value of a gaussian curve can be significantly affected. Outliers can pull the average value towards themselves, making it an unreliable measure of central tendency. In such cases, it is better to use the median as a measure of central tendency.

Can the average value of a gaussian curve be negative?

Yes, the average value of a gaussian curve can be negative. This can happen when the curve is skewed and has more values on one side than the other. In such cases, the average value can be pulled towards the side with fewer values, resulting in a negative average value.

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