Calabi-Yau Metrics, CFTs and Random Matrices

Anthony Ashmore ()
Additional contact information
Anthony Ashmore: Skidmore College, Department of Physics

A chapter in Nankai Symposium on Mathematical Dialogues, 2026, pp 25-35 from Springer

Abstract: Abstract Calabi-Yau manifolds have played a key role in both mathematics and physics, and are particularly important for deriving realistic models of particle physics from string theory. Unfortunately, very little is known about the explicit metrics on these spaces, leaving us unable, for example, to compute particle masses or couplings in these models. We review recent progress in this direction on using numerical approximations to compute the spectrum of the Laplacian on these spaces. We give an example of what one can do with this new “data”, giving a surprising link between Calabi-Yau metrics and random matrix theory.

Date: 2026
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:978-981-19-2328-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9789811923289

DOI: 10.1007/978-981-19-2328-9_4

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 ().