Density estimates of 1-avoiding sets via higher order correlations

التفاصيل البيبلوغرافية
العنوان: Density estimates of 1-avoiding sets via higher order correlations
المؤلفون: Ambrus, Gergely, Matolcsi, Máté
المصدر: Discrete and Computational Geometry, 2020
سنة النشر: 2018
المجموعة: Mathematics
مصطلحات موضوعية: Mathematics - Metric Geometry, 42B05, 52C10, 52C17, 90C05
الوصف: We improve the best known upper bound on the density of a planar measurable set A containing no two points at unit distance to 0.25442. We use a combination of Fourier analytic and linear programming methods to obtain the result. The estimate is achieved by means of obtaining new linear constraints on the autocorrelation function of A utilizing triple-order correlations in A, a concept that has not been previously studied.
Comment: 11 pages, 2 figures
نوع الوثيقة: Working Paper
DOI: 10.1007/s00454-020-00263-3
URL الوصول: http://arxiv.org/abs/1809.05453
رقم الانضمام: edsarx.1809.05453
قاعدة البيانات: arXiv
الوصف
DOI:10.1007/s00454-020-00263-3