2021/12/09 by Noah Kravitz · 2 citations
Decision Sciences · Mathematics · Psychology · #Game Theory and Applications #Conjecture #Combinatorics #Mathematics #Integer (computer science) #Loneliness #Geometry #Physics #Computer science #Psychology #Social psychology
paper · pdf · doi:10.5070/c61055383
published in Combinatorial Theory 1(0)
openalex publication_date 2021/12/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We introduce a sharpened version of the well-known Lonely Runner Conjecture of Wills and Cusick. Given a real number \(x\), let \(\Vert x \Vert\) denote the distance from \(x\) to the nearest integer. For each set of positive integer speeds \(v1, …, vn\), we define the associated maximum loneliness to be ML(v1, …, vn)=maxt ∈ ℝmin1 ≤ i ≤ n \Vert tvi \Vert.The Lonely Runner Conjecture asserts that \(ML(v1, …, vn) ≥ 1/(n+1)\) for all choices of \(v1, …, vn\). We make the stronger conjecture that for each choice of \(v1, …, vn\), we have either \(ML(v1, …, vn)=s/(ns+1)\) for some \(s ∈ ℕ\) or \(ML(v1, …, vn) ≥ 1/n\). This view reflects a surprising underlying rigidity of the Lonely Runner Problem. Our main results are: confirming our stronger conjecture for \(n ≤ 3\); and confirming it for \(n=4\) and \(n=6\) in the case where one speed is much faster than the rest.Mathematics Subject Classifications: 11K60 (primary), 11J13, 11J71, 52C07