Properties of Multidimensional Vector Zeckendorf Representations

Abstract

Zeckendorf's Theorem says that for all k ≥ 3, every nonnegative integer has a unique k-Zeckendorf representation as a sum of distinct k-bonacci numbers, where no k consecutive k-bonacci numbers are present in the representation. Anderson and Bicknell-Johnson extend this result to the multidimensional context: letting the k-bonacci vectors Xi ∈ Zk-1 be given by X0=0, X-i=ei for 1 ≤ i ≤ k-1, and Xn=Σi=1k Xn-i for all n ∈ Z, they show that for all k ≥ 3, every v ∈ Zk-1 has a unique k-bonacci vector Zeckendorf representation, a sum of distinct k-bonacci vectors where no k consecutive k-bonacci vectors are present in the representation. Their proof provides an inductive algorithm for finding such representations. We present two improved algorithms for finding the k-bonacci vector Zeckendorf representation of v and analyze their relative efficiency. We utilize a projection map Sn: Zk-1 Z≥ 0, introduced in Anderson and Bicknell-Johnson work, that reduces the study of k-bonacci vector representations to the setting of k-bonacci number representations, provided a lower bound is established for the most negatively indexed k-bonacci vector present in the k-bonacci vector Zeckendorf representation of v. Using this map and a bijection between Zk-1 and Z≥ 0, we further show that the number of and gaps between summands in k-bonacci vector Zeckendorf representations exhibit the same properties as those in k-Zeckendorf representations and that k-bonacci vector Zeckendorf representations exhibit summand minimality.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…