On Quasi-Energy-Spectra, Pair Correlations of Sequences and Additive Combinatorics
Ida Aichinger (),
Christoph Aistleitner () and
Gerhard Larcher ()
Additional contact information
Ida Aichinger: European Organization for Nuclear Research, CERN
Christoph Aistleitner: Institute for Analysis and Number Theory, TU Graz
Gerhard Larcher: Institute for Financial Mathematics and Applied Number Theory, Johannes Kepler University Linz
A chapter in Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan, 2018, pp 1-16 from Springer
Abstract:
Abstract The investigation of the pair correlation statistics of sequences was initially motivated by questions concerning quasi-energy-spectra of quantum systems. However, the subject has been developed far beyond its roots in mathematical physics, and many challenging number-theoretic questions on the distribution of the pair correlations of certain sequences are still open. We give a short introduction into the subject, recall some known results and open problems, and in particular explain the recently established connection between the distribution of pair correlations of sequences on the torus and certain concepts from additive combinatorics. Furthermore, we slightly improve a result recently given by Jean Bourgain in Aistleitner et al. (Isr. J. Math., to appear. Available at https://arxiv.org/abs/1606.03591 ).
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-72456-0_1
Ordering information: This item can be ordered from
http://www.springer.com/9783319724560
DOI: 10.1007/978-3-319-72456-0_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().