An uncertainty principle for arithmetic sequences
| dc.creator | Granville, Andrew | |
| dc.creator | Soundararajan, K. | |
| dc.date | 2004-06-01 | |
| dc.date.accessioned | 2026-07-07T05:08:47Z | |
| dc.date.available | 2026-07-07T05:08:47Z | |
| dc.description | Analytic number theorists usually seek to show that sequences which appear naturally in arithmetic are ``well-distributed'' in some appropriate sense. In various discrepancy problems, combinatorics researchers have analyzed limitations to equi-distribution, as have Fourier analysts when working with the ``uncertainty principle''. In this article we find that these ideas have a natural setting in the analysis of distributions of sequences in analytic number theory, formulating a general principle, and giving several examples. | |
| dc.description | 39 pages | |
| dc.identifier | https://arxiv.org/abs/math/0406018 | |
| dc.identifier | http://arxiv.org/abs/math/0406018 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/71401 | |
| dc.subject | Number Theory | |
| dc.subject | Classical Analysis and ODEs | |
| dc.title | An uncertainty principle for arithmetic sequences | |
| dc.type | text |