Probability that distance from the origin of a uniformly distributed point < x

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Homework Help Overview

The problem involves finding the probability that a point, uniformly distributed within a disk of radius 1, has a distance from the origin that is less than a given value x, where 0 ≤ x ≤ 1. The density function is constant within the disk, and there is a note indicating that the expected answer is x².

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the interpretation of the distance D from the origin and its relationship to the variable x. There is confusion regarding whether x represents the same quantity as the x-component of the point. Some participants question the notation used in the problem and its implications for the probability calculation.

Discussion Status

Several participants have offered insights into the nature of uniform probability density and the relationship between area and probability. There is an ongoing exploration of how to correctly interpret the problem and whether additional justification is needed before proceeding to a solution.

Contextual Notes

Participants note potential issues with the notation used in the problem, specifically the use of the same symbol (x) to represent different concepts. There is also a mention of the need to align with instructional materials regarding the presentation of the problem.

slakedlime
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Homework Statement


A point is uniformly distributed within the disk of radius 1.
That is, its density is f(x,y) = C

For 0 ≤ x2 + y2 ≤ 1

Find the probability that its distance from the origin is less than x, 0 ≤ x ≤ 1.

[Note] My book says that the answer is supposed to be x2.

2. The attempt at a solution
Let D be the distance of the point from the origin.
D = x2 + y2, where the x and y values correspond to the point's x and y components respectively.

My interpretation is that the unit circle is centered at origin 0,0.

I can see that D can be GREATER than the point's x component (e.g. as we move away from the x-axis and towards the y-axis). However, how can D be less than x? Isn't this x the same as the circle's x-component? Or is this x independent of the point? For example, we can assume that x is not the same as the circle's x-component (let's denote that as ω). Hence, 0 ≤ x ≤ 1 and 0 ≤ ω ≤ 1, where x may or may not be equal to ω.

If this is the case, do we have to find the probability that ω2 + y2 < x?

Any explanations or guidance on how to proceed with this problem will be immensely appreciated!
 
Last edited:
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What is the area of a circle of radius x?

RGV
 
\pi(r^{2}). I'm not sure how this relates to the question, since I don't understand how D can ever be less than x for a given value of x (unless I'm understanding this incorrectly).
 
slakedlime said:
\pi(r^{2}). I'm not sure how this relates to the question, since I don't understand how D can ever be less than x for a given value of x (unless I'm understanding this incorrectly).

The problem is one of bad notation: the person who wrote the question is using the same symbol (x) to stand for two different things in the same problem. The question should have asked for the probability that the distance is <= d, where 0 < d <= 1.

RGV
 
As you stated initially, a "uniform" probability density, means that the density function is a constant. Since the integral over the circle is 1, that density function must be one over the area of the disk.
 
Thank you for your suggestions Ray and HallsofIvy. From what you're saying, I understand the following:

1) The probability that the point lies within the circle is 1.
2) We want to find the probability that the point lies within a distance d of the circle's center, where 0 ≤ d ≤ 1. Hence I divide the area of a circle of radius d by the area of the unit circle.

Can I jump straight to the solution (I get the correct answer) or do I need to back myself up with more logic and precision?
 
That would be OK with me, but you need to be consistent with the way your instructor/notes/textbook presents the material. Basically, though, a distribution is uniform within a region S if the probability of a subregion of area A is cA, where c is chosen to make P(S) = 1. (The point is that the probability does not vary with the location or shape of the subregion; the only thing that counts is its area.)

RGV
 

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