Upper Bounds on Integer Complexity
Joshua Zelinsky

TL;DR
This paper establishes a universal non-trivial upper bound on the integer complexity of all natural numbers, improving understanding of how efficiently numbers can be expressed using only ones, addition, and multiplication.
Contribution
It provides the first universal upper bound for integer complexity applicable to all natural numbers, refining previous bounds that only held for almost all numbers.
Findings
Proves that ||n|| ≤ A log n for all n > 1, with A = 41 / log 55296.
Improves the understanding of the maximum complexity of integers.
Establishes a new universal upper bound on integer complexity.
Abstract
Define to be the \emph{complexity} of , which is the smallest number of s needed to write using an arbitrary combination of addition and multiplication. John Selfridge showed that for all . Richard Guy noted the trivial upper bound that for all by writing in base 2. An upper bound for almost all was provided by Juan Arias de Reyna and Jan Van de Lune. This paper provides the first non-trivial upper bound for all . In particular, for all we have where .
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
TopicsLimits and Structures in Graph Theory · graph theory and CDMA systems · Benford’s Law and Fraud Detection
