Recursive Record Filtering and Longest Decreasing Subsequences
Jackson Zariski, Kaitlin Kratter

TL;DR
This paper analyzes a recursive filtering process called Disappear-Sort, connecting it to longest decreasing subsequences in permutations, and derives asymptotic behavior using combinatorial and probabilistic tools.
Contribution
It establishes exact recurrence relations and probabilistic interpretations for Disappear-Sort, linking it to Young tableaux and the Tracy--Widom law for asymptotic analysis.
Findings
Expected number of passes for resampling variant satisfies a recurrence with Stirling numbers.
Total passes in non-resampling variant equal the length of the longest decreasing subsequence.
Expected passes grow asymptotically as 2√n with Tracy--Widom fluctuations.
Abstract
We consider a recursive record-filtering procedure, which we informally call Disappear-Sort. Let denote the random variable giving the required number of passes in Disappear-Sort to eliminate a sequence of length sampled as i.i.d. copies of a continuous random variable , where each pass retains the left-to-right records and discards all remaining entries. We show that this procedure admits two natural probabilistic interpretations. For the resampling variant we prove that satisfies an exact recurrence involving the unsigned Stirling numbers of the first kind. For the non-resampling variant, we associate to a permutation a natural poset and prove that the recursive Disappear-Sort layers form an antichain decomposition of this poset. We deduce that the total number of passes equals , where is the length of the longest…
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