Cosine Sign Correlation
Classical Analysis and ODEs
2022-12-06 v1 Probability
Abstract
Fix , and let be a uniformly distributed random variable on . The probability that are either all positive or all negative is non-zero since for in a neighborhood of . We are interested in how small this probability can be. Motivated by a problem in spectral theory, Goncalves, Oliveira e Silva, and Steinerberger proved that with equality if and only if . We prove with equality if and only if . The pattern does not continue, as achieves a smaller value than . We conjecture multiples of to be optimal for , discuss implications for eigenfunctions of Schr\"odinger operators , and give an interpretation of the problem in terms of the lonely runner problem.
Cite
@article{arxiv.2212.02496,
title = {Cosine Sign Correlation},
author = {Shilin Dou and Ansel Goh and Kevin Liu and Madeline Legate and Gavin Pettigrew},
journal= {arXiv preprint arXiv:2212.02496},
year = {2022}
}
Comments
9 pages, 1 figure