Conditional Probability of Derangements and Fixed Points
Sam Gutmann, Mark Mixer, Steven Morrow

TL;DR
This paper investigates the conditional probability of fixed points in permutations, showing it decreases with parameters and can be approximated by a specific formula, extending understanding of permutation fixed point distributions.
Contribution
It introduces new results on the behavior and approximation of conditional fixed point probabilities in permutations, generalizing previous derangement probability results.
Findings
Conditional probability decreases with k and n.
Approximation formula for the probability is provided.
Results extend to fixed points given a fixed number d.
Abstract
The probability that a random permutation in is a derangement is well known to be . In this paper, we consider the conditional probability that the point is fixed, given there are no fixed points in the first points. We prove that when and , this probability is a decreasing function of both and . Furthermore, it is proved that this conditional probability is well approximated by . Similar results are also obtained about the more general conditional probability that the point is fixed, given that there are exactly fixed points in the first points.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Point processes and geometric inequalities · Advanced Combinatorial Mathematics
