English

Gaussian Behavior in Generalized Zeckendorf Decompositions

Number Theory 2011-07-15 v1

Abstract

A beautiful theorem of Zeckendorf states that every integer can be written uniquely as a sum of non-consecutive Fibonacci numbers {Fn}n=1\{F_n\}_{n=1}^{\infty}; Lekkerkerker proved that the average number of summands for integers in [Fn,Fn+1)[F_n, F_{n+1}) is n/(ϕ2+1)n/(\phi^2 + 1), with ϕ\phi the golden mean. Interestingly, the higher moments seem to have been ignored. We discuss the proof that the distribution of the number of summands converges to a Gaussian as nn \to \infty, and comment on generalizations to related decompositions. For example, every integer can be written uniquely as a sum of the ±Fn\pm F_n's, such that every two terms of the same (opposite) sign differ in index by at least 4 (3). The distribution of the numbers of positive and negative summands converges to a bivariate normal with computable, negative correlation, namely (212ϕ)/(29+2ϕ)0.551058-(21-2\phi)/(29+2\phi) \approx -0.551058.

Keywords

Cite

@article{arxiv.1107.2718,
  title  = {Gaussian Behavior in Generalized Zeckendorf Decompositions},
  author = {Steven J. Miller and Yinghui Wang},
  journal= {arXiv preprint arXiv:1107.2718},
  year   = {2011}
}

Comments

This is a survey article based on talks given at CANT 2010 and CANT 2011

R2 v1 2026-06-21T18:36:31.177Z