How to Find the Distribution of T for Competing Poisson Processes

  • Context: Undergrad 
  • Thread starter Thread starter hezilap
  • Start date Start date
  • Tags Tags
    Poisson
Click For Summary
SUMMARY

The discussion focuses on determining the distribution of T, the arrival time of the first red car whose nearest neighbor is a blue car, in the context of competing Poisson processes with rates λ_r and λ_b. Participants suggest simulating the problem to gain insights into T's behavior, especially under limiting cases such as when λ_r is significantly less than λ_b. The need for a mathematically sound closed-form solution is emphasized, with recommendations to explore the expectation and distribution of individual Poisson processes and consider order statistics.

PREREQUISITES
  • Understanding of Poisson processes and their properties
  • Familiarity with statistical distributions and expectation calculations
  • Basic programming skills for simulation (e.g., Python, R)
  • Knowledge of order statistics in probability theory
NEXT STEPS
  • Implement a simulation of competing Poisson processes using Python or R
  • Research the expectation and distribution of Poisson processes
  • Study order statistics and their applications in probability
  • Explore limiting cases in competing processes to derive insights on T
USEFUL FOR

Researchers, statisticians, and graduate students working on problems involving competing Poisson processes and those seeking to derive analytic solutions in probability theory.

hezilap
Messages
2
Reaction score
0
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...
 
Last edited:
Physics news on Phys.org
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).
 
  • Like
Likes   Reactions: hezilap and FactChecker
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.
 
Last edited:
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?
 

Similar threads

Replies
8
Views
3K
  • · Replies 12 ·
Replies
12
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 37 ·
2
Replies
37
Views
5K