# Random Feedback Shift Registers, and the Limit Distribution for Largest   Cycle Lengths

**Authors:** Richard Arratia, E. Rodney Canfield, Alfred W. Hales

arXiv: 1903.09183 · 2022-07-26

## TL;DR

This paper proves that the scaled cycle lengths of a random binary feedback shift register follow a Poisson-Dirichlet distribution, similar to random permutations, confirming a long-standing conjecture from 1959.

## Contribution

It establishes the limiting distribution of cycle lengths in random feedback shift registers, connecting them to the Poisson-Dirichlet distribution and confirming a conjecture from 1959.

## Key findings

- Cycle lengths follow Poisson-Dirichlet distribution
- Convergence in distribution for scaled cycle lengths
- Confirms conjecture by Golomb, Welch, and Goldstein

## Abstract

For a random binary noncoalescing feedback shift register of width $n$, with all $2^{2^{n-1}}$ possible feedback functions $f$ equally likely, the process of long cycle lengths, scaled by dividing by $N=2^n$, converges in distribution to the same Poisson-Dirichlet limit as holds for random permutations in $\mathcal{S}_N$, with all $N!$ possible permutations equally likely. Such behavior was conjectured by Golomb, Welch, and Goldstein in 1959.

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/1903.09183/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/1903.09183/full.md

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Source: https://tomesphere.com/paper/1903.09183