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Exact Sampling of Permutations with a Fixed Longest Increasing Subsequence

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arXiv:2606.02263v1 Announce Type: new Abstract: We study exact uniform sampling of permutations of length $n$ whose longest increasing subsequence (LIS) has prescribed length $k$. For $k \in \Theta(n)$, we give a direct rejection sampler whose expected running time is $O(n\log\log n)$ in the word-RAM model. The sampler uses an expanded proposal space consisting of permutations together with a specified increasing subsequence, and accepts exactly those proposals whose specified subsequence is...

arXiv:2606.02263v1 Announce Type: new Abstract: We study exact uniform sampling of permutations of length $n$ whose longest increasing subsequence (LIS) has prescribed length $k$. For $k \in \Theta(n)$, we give a direct rejection sampler whose expected running time is $O(n\log\log n)$ in the word-RAM model. The sampler uses an expanded proposal space consisting of permutations together with a specified increasing subsequence, and accepts exactly those proposals whose specified subsequence is the leftmost LIS. For arbitrary $1\le k\le n$, we give an exact sampler based on the Robinson--Schensted correspondence. The algorithm samples the corresponding Plancherel-conditioned shape by computing exact completion counts via determinant identities, and then samples two uniform tableaux of that shape. The direct implementation runs in $\tilde O(n^4k^5)$ expected time. We then show that the same sampler can be implemented in expected $\tilde O(n^3k^4)$ time by evaluating a determinant oracle through Hankel moment matrices.
n)$ (ORG) Plancherel (ORG) Hankel (ORG)
Originally published by arXiv CS Read original →