Calculating Average Size of Target Square in Unit Square with Variable p^2

In summary, the problem involves finding the average size of a "target square" with a size of p^2 within a unit square, where the center of the target square can be anywhere within the unit square with equal likelihood. The size of the target square can vary based on the position of its center point, and for certain positions, it may not fully fit within the unit square. The goal is to determine the average size of the target square as a function of p^2.
  • #1
purplebird
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Given a unit square and a 'target' square of size LXL = p^2 < 1 in the unit square. The center of target square in equally likely to be anywhere in the unit square. What is the average size of the target square as a function of p^2.

This is the problem and I have included a jpeg illustration of the problem. Any help would be greatly appreciated.
 

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  • #2
purplebird said:
Given a unit square and a 'target' square of size LXL = p^2 < 1 in the unit square. ... What is the average size of the target square as a function of p^2.

The size of the "target square" is p^2 by the statement of the problem. :smile:

Do you mean the intersection of the target square T with the unit square [itex]U=[0,1]\times[0,1]\subset \mathbb{R}^2[/itex]? In this case I suggest you first try and find out what the area of [itex]A = T\cap U[/itex] is as a function of the center of the target square. Denote this center by (x,y).

Then for [itex]p \leq x\leq 1-p \wedge p \leq y\leq 1-p[/itex] you have A=p^2. Figure out the area A if the center of the target space is too close to the boundary of the unit square for the former to completely fit into the latter.
 
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1. What is the expected value of area?

The expected value of area is a mathematical concept that represents the average or mean area that is expected to be observed when conducting a random experiment or data set.

2. How is the expected value of area calculated?

The expected value of area is calculated by multiplying each possible area value by its corresponding probability and then summing up all of these products. This can be represented mathematically as E(Area) = Σ x * P(x), where x represents the possible area values and P(x) represents their probabilities.

3. What is the significance of the expected value of area in experiments or data analysis?

The expected value of area is significant because it provides a measure of central tendency for the distribution of area values. It can also help to identify any outliers or extreme values in the data set.

4. How does the expected value of area differ from the actual area observed in an experiment?

The expected value of area is a theoretical value that represents the average value that is expected to be observed. In contrast, the actual area observed in an experiment may vary from the expected value due to factors such as chance or measurement errors.

5. Can the expected value of area be negative?

Yes, the expected value of area can be negative if the possible area values have negative probabilities. However, in most cases, the expected value of area will be a positive value since area cannot be negative in real-world scenarios.

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