Variance of Longest Run Duration in a Random Bitstring
Steven Finch

TL;DR
This paper investigates the uncertainty and correlation properties of longest run durations and bit sums in random bitstrings, extending previous work with a focus on variance and asymptotic behavior using experimental methods.
Contribution
It introduces an analysis of the variance and correlation of longest run lengths and bit sums in various configurations of random bitstrings, emphasizing experimental approaches.
Findings
Negative correlations diminish as bitstring length increases for clumped 1s.
Nonzero limits observed for correlations involving separated 1s.
Experimental methods effectively analyze asymptotic behaviors.
Abstract
We continue an earlier study, starting with unconstrained -bitstrings, focusing now less on average behavior and more on uncertainty. The interplay between longest runs of 0s and of 1s, when bitstrings are multus longest runs of 0s and bitsums (# of 1s), when bitstrings are solus is examined. While negative correlations approach zero as in the former (for clumped 1s), the limit is evidently nonzero in the latter (for separated 1s). Similar analysis is possible when both 0s and 1s are clumped (bimultus), and when 0s are clumped but 1s are separated (persolus). Our methods are experimentally-based.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEvolutionary Algorithms and Applications · Computability, Logic, AI Algorithms · Algorithms and Data Compression
