Suppose a queue of swimmers arrives at [a] pool when it opens at 9 a.m. One at a time, each person randomly picks a lane from among the lanes that are available (i.e., the lane has no swimmer already and is not adjacent to any lanes with swimmers), until no more lanes are available.

At this point, what is the expected number of swimmers in the pool?

For five lanes the pool will be full when lanes 1, 3, and 5; 1 and 4; or 2 and 5 are occupied.

If lane 2 is first to be filled then we will certainly end up with just two occupied lanes (2 and 4); similarly with 4.

If lane 3 is first we certainly end up with three occupied lanes, since 1 and 5 remain and they don’t interfere with each other.

If the first swimmer uses lane 1 we actually have to think. The remaining lanes are 3, 4, and 5. If the second swimmer fills one of the “new” edge lanes (3 or 5) first then we’ll end up with three full lanes; if the second swimmer fills up 4 we end up with two full lanes. So if the first swimmer fills lane 1 we have an expectation of 2 2/3 lanes full, and similarly for lane 5.

Putting it all together the expected number of full lanes is .

This is sort of a discrete version of “Renyi’s parking problem”: if you have a street of length x and cars of length 1 park at random, how full is the street expected to be when nobody else can park?

In the n-lane case there’s a recursive solution. Let f(n) be the expected number of full lanes in an n-lane pool. Clearly f(1) = 1, f(2) = 1; we already worked out f(5) = 8/3.

To find f(n), consider where the first swimmer goes.

If they use lane 1 or lane n then there is one remaining sub-pool of n-2 lanes.

If they use lane 2 or lane n-1 then there is one remaining sub-pool of n-3 lanes.

If they use lane with then there are two remaining sub-pools of k-2 and n-k-1 lanes.

So this gives us, if ,
$
with the base cases f(1) = 1, f(2) = 1, f(3) = 5/3.

If we compute this for large n we get , which agrees with the Monte Carlo simulations in Georgiou, Kranakis, and Krizanc 2009. (Simulation isn’t necessary here but it’s necessary if you consider an analogous problem on a grid.) The constant is . Kranakis and Krizanc have some online notes on the urinal problem. as well, and the problem goes back at least to a problem posed in the SIAM Review in 1962 by Freedman and Shepp.

(2020-07-07: fixed numerical expression of constant 0.4323)

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