Limit Theorems for Fixed Point Biased Pattern Avoiding Involutions

preprint2025arXivOpen access

Abstract

We study fixed point biased involutions that avoid a pattern. For every pattern of length three we obtain limit theorems for the asymptotic distribution of the (appropriately centered and scaled) number of fixed points of a random fixed point biased involution avoiding that pattern. When the pattern being avoided is either 321321, 132132, or 213213, we find a phase transition depending on the strength of the bias. We also obtain a limit theorem for distribution of fixed points when the pattern is 123⋯k(k+1)123\cdots k(k+1) for any kk and partial results when the pattern is (k+1)k⋯321(k+1)k\cdots 321.

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