Amending the Lonely Runner Spectrum Conjecture
Ho Tin Fan, Alec Sun
TL;DR
This work challenges Kravitz's Loneliness Spectrum Conjecture by producing an infinite family of counterexamples for $n=4$ and introducing an Amended Loneliness Spectrum Conjecture that allows a $k$-parameter in the form $ML=\frac{s}{ns+k}$. It develops modular/pre-jump techniques and a Shifted Lonely Runner framework to establish lower bounds such as $ML\ge \frac{1}{4}$ in broad gcd configurations, and it identifies the exceptional family $(1,2,3,12k)$ with $ML=\frac{3k}{12k+1}$, while validating the amended conjecture in many regimes (including cases where a pair has gcd $>3$). The authors complement their theoretical results with computational evidence suggesting the discrete spectrum persists under the amendment and propose a stronger conjecture $k\le n/2$ for discrete values, outlining future work to complete the $n=4$ proof and extend experiments. Overall, the paper reframes the spectrum of loneliness values, provides a concrete infinite counterexample family, and offers a robust toolkit for gcd-structured analyses in the Lonely Runner setting.
Abstract
Let $||x||$ be the absolute distance from $x$ to the nearest integer. For a set of distinct positive integral speeds $v_1, \ldots, v_n$, we define its maximum loneliness, also known as the gap $δ$, to be $$ML(v_1,\ldots,v_n) = \max_{t \in \mathbb{R}}\min_{1 \leq i \leq n} || tv_i||.$$ The Loneliness Spectrum Conjecture, recently proposed by Kravitz (2021), asserts that $$\exists s \in \mathbb{N}, \text{ML}(v_1,\ldots,v_n) = \frac{s} {sn + 1} \text{ or } \text{ML}(v_1,\ldots,v_n) \geq \frac{1}{n}. $$ We disprove the Loneliness Spectrum Conjecture for $n = 4$ with an infinite family of counterexamples and propose an alternative conjecture. We confirm the amended conjecture for $n = 4$ whenever there exists a pair of speeds with a common factor of at least $3$ and also prove some related results.
