Probabilities: The mean of the square

In summary, the problem is to find the mean of the square of a particle's displacement after n moves, starting from (0,0). The correct expression involves incorporating n and the probabilities of each direction, rather than just the squared magnitude of the displacement.
  • #1
Niles
1,866
0

Homework Statement


Hi all.

A particle can choose randomly to move in one of these directions:

[tex]
r_1 = (a,0), \quad r_2 = (-a,0), \quad r_3 = (0,a) \quad \text{and}\quad r_4 = (0,-a).
[/tex]

These are vectors, not coordinates! I have to find the mean of the square of r, i.e. [itex]<r>[/itex] after n moves, where the particle starts in (0,0).

What I have done is the following:

[tex]
<r^2> = \sum_i {(r_i\cdot r_i)P_i},
[/tex]

where Pi is 1/4, because it is random. So I believe the mean of the square of r is a2. But my teacher says it is na2. I cannot see why he wants to multiply by n, since my method is quite straightforward. Where am I wrong?

Thanks in advance.


Niles.
 
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  • #2
You got to have an n somewhere, otherwise, how do you incorporate the fact that it is after n moves? Your expression currently find mean of r^2 after the first step.

For n moves, you'll have n terms and each step has a different possibility. You should think about how to arrive at the corresponding expression.

Hint:
[tex]\langle r^2 \rangle=\overbrace{\sum ... \sum}^{\rm{n times}}(r_1+r_2+...+r_n)^2 \times \rm{Probability}[/tex]

Now, how would you simplify that?
 
  • #3
Thanks, I see it now.
 

FAQ: Probabilities: The mean of the square

What is the concept of "Probabilities: The mean of the square"?

The concept of "Probabilities: The mean of the square" is a statistical measure that represents the average of the squared deviations from the mean. It is used to quantify the spread or variability of a set of data.

How is the mean of the square calculated?

The mean of the square is calculated by taking the sum of the squared deviations from the mean and dividing it by the total number of data points.

What does the mean of the square tell us about the data?

The mean of the square provides a measure of how far the data points are spread out from the mean. A smaller value indicates that the data points are closer to the mean, while a larger value indicates a greater spread or variability.

Can the mean of the square be negative?

No, the mean of the square cannot be negative. Since the squared deviations are always positive, the sum of these values will also be positive. Dividing by a positive number will result in a positive mean of the square.

How is the mean of the square used in probability theory?

In probability theory, the mean of the square is used to calculate the variance and standard deviation of a random variable. These measures help to describe the spread or variability of the possible outcomes of an experiment or event.

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