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Coscott comments on Open Thread for February 11 - 17 - Less Wrong Discussion

3 Post author: Coscott 11 February 2014 06:08PM

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Comment author: Coscott 11 February 2014 10:07:43PM 2 points [-]
Comment author: mwengler 11 February 2014 11:31:00PM 0 points [-]

Coscott's solution seems incorrect for N=3. label 3 cars 1 is fastest, 2 is 2nd fastest 3 is slowest. There are 6 possible orderings for the cars on the road. These are shown with the cars appropriately clumped and the number of clumps associated with each ordering:

1 2 3 .. 3 clumps

1 32 .. 2 clumps

21 3 .. 2 clumps

2 31 .. 2 clumps

312 .. 1 clump

321 .. 1 clump

Find the mean number of clumps and it is 11/6 mean number of clumps. Coscott's solution gives 10/6.

Fix?

Comment author: Coscott 11 February 2014 11:58:07PM 1 point [-]

My solution gives 11/6

Comment author: mwengler 12 February 2014 12:04:49AM 1 point [-]

Dang you are right.

Comment author: mwengler 11 February 2014 11:45:36PM 0 points [-]

Coscott's solution also wrong for N=4, actual solution is a mean of 2, Coscott's gives 25/12.

Comment author: Coscott 12 February 2014 12:02:22AM 1 point [-]

4 with prob 1/24, 3 with prob 6/24, 2 with prob 11/24, 1 with prob 6/24

Mean of 25/12

How did you get 2?

Comment author: mwengler 12 February 2014 12:45:04AM 0 points [-]

Must have counted wrong. Counted again and you are right.

Great problems though. I cannot figure out how to conclude it is the solution you got. Do you do it by induction? I think I could probably get the answer by induction, but haven't bothered trying.

Comment author: Coscott 12 February 2014 01:36:53AM 3 points [-]

Take the kth car. It is at the start of a cluster if it is the slowest of the first k cars. The kth car is therefore at the start of a cluster with probability 1/k. The expected number of clusters is the sum over all cars of the probability that that car is in the front of a cluster.

Comment author: solipsist 11 February 2014 10:09:39PM 0 points [-]

You got it.

Comment author: Coscott 11 February 2014 10:12:39PM 0 points [-]

I am not sure what the distribution is.

Comment author: gjm 11 February 2014 10:50:31PM 2 points [-]
Comment author: Coscott 11 February 2014 11:02:34PM 1 point [-]

Ah, yes, thank you.