Solving Distribution Functions

Click For Summary
SUMMARY

The discussion focuses on solving a distribution function defined as f(x) = A*sin²(πx/L) for 0 < x < L and 0 elsewhere. Participants emphasize the need to normalize the function by integrating f(x) from 0 to L and setting the result equal to 1 to find the constant A. Additionally, they clarify the definitions of the most probable value and root mean square, suggesting that the most probable value can be determined by integrating x*f(x) over the same interval. The lack of instruction from the professor is a common concern among participants.

PREREQUISITES
  • Understanding of distribution functions and normalization
  • Knowledge of integration techniques, particularly definite integrals
  • Familiarity with statistical concepts such as mean, most probable value, and root mean square
  • Basic trigonometric functions and their properties
NEXT STEPS
  • Learn how to perform normalization of probability density functions
  • Study the definitions and calculations for mean, most probable value, and root mean square in statistical contexts
  • Explore integration techniques specifically for trigonometric functions
  • Review examples of solving distribution functions in statistical mechanics
USEFUL FOR

Students in physics or statistics, educators seeking to clarify distribution functions, and anyone looking to deepen their understanding of probability theory and its applications.

GreenLRan
Messages
59
Reaction score
0

Homework Statement



Given the distribution function:

f(x) = A*sin^2(pi*x/L) for 0 < x < L
= 0 for x elsewhere

Find the values for:
A, mean x (x), most probable x (xmp) and root mean square x (xrms)

Homework Equations





The Attempt at a Solution



The professor has not shown us how to do a problem like this. So I am lost.

My guess at solving A would be to take the integral of f(x) and set it equal to 1. But I do not know what limits I should use on the integral (0 to inf or 0 to L?).

I think the most probable x would be + or - 1 standard deviation from the mean value? I don't know how to solve for that either.

Thanks in advance for the help!
 
Physics news on Phys.org
When in doubt, go back to the definitions.

For starters, for a normalized distribution, [itex]f(x)[/itex] , you have

[tex]\int_{-\infty}^{\infty}f(x)dx=1[/tex]

In this case, [itex]f(x)[/itex] is zero for most of the interval, and so the only non-zero contribution to this integral comes on the interval [itex]0[/itex] to [itex]L[/itex]...What does that give you for [itex]A[/itex]?

What are the definitions of "most probable value" and "root mean square x"?...Apply those definitions.
 
Does that mean I should integrate from 0 to L and normalize to 1 to solve for A?

I don't know what the 'definitions' are. Like I said, my professor did not teach this. That is why I am asking for help here. Could you provide a little more insight? Should I integrate x*f(x) to get the most probable value of x?
 

Similar threads

  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
7
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
6
Views
2K
Replies
3
Views
2K