How to Find the Distribution of T for Competing Poisson Processes

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Discussion Overview

The discussion revolves around finding the distribution of the arrival time T for the first red car in a scenario where red and blue cars arrive as independent Poisson processes. Participants explore both analytical and simulation approaches to understand T's distribution, its expected value, and the implications of different arrival rates.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks to find the distribution of T as a function of the rates λ_r and λ_b, expressing difficulty in deriving it.
  • Another suggests simulating the problem with varying rates to gain insights, particularly noting that in the case where λ_r is much smaller than λ_b, T might be approximated as 1/λ_r.
  • Concerns are raised about the potential lack of simple closed-form solutions for the problem, with a suggestion that simulations may be a more practical approach.
  • A participant asserts confidence in the existence of an analytic solution suitable for a graduate student, emphasizing a desire for mathematically sound approaches.
  • Clarification is sought regarding the conditions under which the nearest neighbor is defined, questioning the equivalence of different arrival sequences of red and blue cars.
  • Another participant proposes considering order statistics as a method to approach the problem.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility of finding an analytic solution versus relying on simulations. There is no consensus on the best approach or the nature of the solution.

Contextual Notes

Participants note the complexity of the problem and the potential for variations in the approach to significantly affect the outcome. The discussion includes assumptions about the independence of the Poisson processes and the implications of different arrival rates.

Who May Find This Useful

Researchers and students interested in stochastic processes, particularly those studying Poisson processes and their applications in modeling arrival times and nearest neighbor problems.

hezilap
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Hi all, I've been struggling for days now with this problem. Would appreciate any idea you might have.
Red cars and blue cars arrive as independent Poisson processes on [0, ∞) with respective rates λ_r, λ_b. Let T denote the arrival time of the first red car whose nearest neighbor is a blue car. ("Nearest" in the sense of arrival times.)

How can I find the distribution of T, or at least its expected value? My attempts have led me nowhere...
 
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Interesting problem. I'm assuming you want the distribution of T as a function of λ_r, λ_b. I would first write a simple program to simulate the problem with different values of λ_r, λ_b. This might be enough to help you answer your question, or it might help guide you to an analytic solution. You might also try thinking about limiting cases. For example, when λ_r << λ_b, then the first red car is almost certainly surrounded by two blue cars, so T should just be 1/λ_r (I think).
 
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Problems that appear simple may not have simple closed-form analytic solutions at all. And even if they do, the slightest change in the problem can completely destroy that approach. Is there some reason that you think this has such a solution? If not, a simulation may be the best you can do for a practical, easily modified, solution.
 
FactChecker said:
Problems that appear simple may not have simple closed-form analytic solutions at all. And even if they do, the slightest change in the problem can completely destroy that approach. Is there some reason that you think this has such a solution? If not, a simulation may be the best you can do for a practical, easily modified, solution.
Thanks for replying. The question came up in a small research project I'm doing, and yes, I have good reasons to believe an analytic solution to this particular problem exists (moreover, one a grad student should be able to handle).
I'll run simulations, for sure, but my focus remains on deriving a mathematically sound closed-form solution. If you guys have any ideas whatsoever, even half-baked ones, I'd love to hear them.
 
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hezilap said:
I have good reasons to believe an analytic solution to this particular problem exists (moreover, one a grad student should be able to handle).
... If you guys have any ideas whatsoever, even half-baked ones, I'd love to hear them.
Ok. Then you should be able to give us a hint about how to do it rather than asking us for half-baked ones.
 
A good first step would be finding the expectation and distribution for one of those processes.
 
@hezilap. Clarification on the problem. When you say "the arrival time of the first red car whose nearest neighbor is a blue car". are R-B and B-R equivalent? What about B-R-B? Is that required?
 
How about working with order statistics for the two?
 

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