Radial Distribution of Points over the Area of a Circle

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Homework Help Overview

The discussion revolves around the distribution of points within a circle, specifically focusing on how to extrapolate a uniform distribution of points chosen along random radii to the entire area of the circle. The original poster seeks to understand the derivation of a specific probability density function related to this distribution.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the relationship between uniform distributions along radii and the overall distribution across the circle's area. The original poster attempts to derive a formal proof for the equation f(r)=\frac{1}{2\pi Rr} and questions the logic behind combining different distributions. Others suggest integrating over angles and radii to achieve normalization.

Discussion Status

The discussion is ongoing, with participants providing insights and clarifications regarding the mathematical relationships involved. Some have offered guidance on how to set up integrals to achieve the desired probability density function, while others express confusion about the steps leading to the final equation.

Contextual Notes

There are references to external materials and equations that may not be fully accessible to all participants, which could affect the clarity of the discussion. The original poster expresses a need for a formal understanding, indicating a potential gap in foundational knowledge that is being addressed through collaborative inquiry.

SaintsTheMeta
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This is a tiny part of a presentation I am giving Friday, any and all help is appreciated.

Homework Statement


Suppose we have a circle centered on O. We are looking for the distribution of the points generated by the following method:

We choose a random radius of the circle, and then choose points along that radius with a uniform distribution. i.e. for any arbitrary radius of the circle, we will have a uniform distribution of points f(r)=\frac{1}{R}.

My question is how do we extrapolate this to the area of a circle, to account for all "random radiuses?"

ET Jaynes gives a solution: f(r)=\frac{1}{2πRr}
here: http://www.google.com/url?sa=t&rct=...OQeRMbfgQ&sig2=goMBcl6Cr-jKjCMYz11G_g&cad=rja
page 5, last sentence before the section 4 header.

Homework Equations



f(r)=\frac{1}{2πRr}

The Attempt at a Solution



This solution seems logical. But I need to be able to give a FORMAL proof of where this comes from. I just CAN'T seem to understand exactly where this equation comes from.

My thinking is it is a uniform distribution over circumference f(r)=\frac{1}{2\pi r} multiplied with the uniform distribution of each radius \frac{1}{R}

Or, we could integrate \frac{1}{R} over angles 0 to 2pi which would give what we want, but Whyyyy

Can anyone help me PRECISELY understand this? This is the kind of thing that is almost always "hand waved" in physics, and while it seems logical, formalism is difficult for me after my studies focused on physics.

Thank you!

edit: My best explanation at this point would be a series of "rings" with circumference 2∏r, then multiplied with the uniform distribution 1/R. But still, this is not logically sound, argh... Why would it be 1 over 2piR?? And what could allow you to just multiply these expressions together??
 
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You mention midpoints, but there's no reference to such in the construction.
(The pdf link crashed Firefox.)
 
haruspex said:
You mention midpoints, but there's no reference to such in the construction.
(The pdf link crashed Firefox.)

sorry, I meant just points. Updated in first post..

Will post any alternate link to Jaynes' paper I can find, for now I have updated the OP to a new link from Google, which at least doesn't crash my Firefox..
http://books.google.com/books?id=3f...v=onepage&q=jaynes well posed problem&f=false page 139 has the same page I cited in OP, but the previous 2 pages are removed. Best I could find other than the original link in OP

In case I was unclear, it's pretty simple in theory. Every radius of the circle has a uniform distribution of points on it. ie if we let x=the distance along the radius from the center of the circle O, then we have the pdf:

f(x)=1/R when x is an element of [0,R], else =0

If we then consider infinitely many radii with distributions as such, according to ET Jaynes we see a distribution function over the entire circle of 1/2∏Rr
 
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BUMP

I'm thinking I need to somehow integrate 1/R over the circumference of infinitesimal rings to get an equation:

normalized to equal 1 of course...
1=f(r)*(2pi*r)(R)

But how and why could I do this? What would allow me to integrate this way?

Thank you!
 
I don't see why it's so hard. You want a pdf over the circle which is only a function of r, so f = f(r). The probability of picking a point in an area element dA = r dr dθ is f(r)dA. For a given θ, that means the probability of picking a radius in the range (r, r+dr) is f(r)rdr. Since you need that to be a uniform distribution, f(r) is proportional to 1/r.
 
haruspex said:
I don't see why it's so hard. You want a pdf over the circle which is only a function of r, so f = f(r). The probability of picking a point in an area element dA = r dr dθ is f(r)dA. For a given θ, that means the probability of picking a radius in the range (r, r+dr) is f(r)rdr. Since you need that to be a uniform distribution, f(r) is proportional to 1/r.

yes that is understood... but how do we go from f(r)~1/r to f(r)~1/(2πRr) ??

if we set up an integral normalized to 1 with limits of integration are 0 to R and 0 to 2π, we would have
1 = ∫∫f(r) * r * dr *dθ ... add in a term of 1/r and we have
1 = ∫∫f(r) * 1/r * r * dr *dθ ...
1 = ∫∫f(r) dr *dθ ...
1 = f(r) * R * 2π
which gives f(r)=1/2πR ... missing a term of r (!)
how do we end up with a dependence on both 1/r AND 1/R ??
again, I need to arrive at this solution: f(r)=\frac{1}{2πRr}

Thanks a million if you or anyone can help clear this up by tomorrow morning :)
 
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SaintsTheMeta said:
1 = ∫∫f(r) * r * dr *dθ ... add in a term of 1/r and we have
1 = ∫∫f(r) * 1/r * r * dr *dθ ...
No, that's redefining f. You mean f(r) = k/r, 1 = ∫∫f(r) * r * dr *dθ = ∫∫k * dr *dθ = 2πRk. So k = 1/2πR, f(r) = 1/2πRr
 
haruspex said:
No, that's redefining f. You mean f(r) = k/r, 1 = ∫∫f(r) * r * dr *dθ = ∫∫k * dr *dθ = 2πRk. So k = 1/2πR, f(r) = 1/2πRr

Wow thank you! I don't know why I got so confused by that... totally over-thought it..

Amazing how much my mathematics skills have left me in just 1.5 years of not using them...
 

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