Asymptotic bit frequency in Fibonacci words
Jean-Luc Baril, Sergey Kirgizov, and Vincent Vajnovszki

TL;DR
This paper investigates the expected value of a random bit in binary words of length n that avoid k consecutive 1s, connecting combinatorial enumeration with probabilistic analysis.
Contribution
It introduces an analysis of the asymptotic behavior of bit frequency in Fibonacci-constraint words, linking combinatorics and probability.
Findings
Expected bit value converges as n grows large.
Asymptotic analysis reveals the distribution of bits in constrained words.
Provides formulas for the expected value based on k-step Fibonacci numbers.
Abstract
It is known that binary words containing no consecutive 1s are enumerated by -step Fibonacci numbers. In this note we discuss the expected value of a random bit in a random word of length having this property.
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Taxonomy
Topicssemigroups and automata theory · Authorship Attribution and Profiling · Fractal and DNA sequence analysis
