Squashed toric manifolds and higher depth mock modular forms
- 1. King's College London, Department of Mathematics (United Kingdom)
- 2. University of Cologne, Mathematical Institute (Germany)
Description
Squashed toric sigma models are a class of sigma models whose target space is a toric manifold in which the torus fibration is squashed away from the fixed points so as to produce a neck-like region. The elliptic genera of squashed toric-Calabi-Yau manifolds are known to obey the modular transformation property of holomorphic Jacobi forms, but have an explicit non-holomorphic dependence on the modular parameter. The elliptic genus of the simplest one-dimensional example is known to be a mixed mock Jacobi form, but the precise automorphic nature for the general case remained to be understood. We show that these elliptic genera fall precisely into a class of functions called higher-depth mock modular forms that have been formulated recently in terms of indefinite theta series. We also compute a generalization of the elliptic genera of these models corresponding to an additional set of charges corresponding to the toric symmetries. Finally we speculate on some relations of the elliptic genera of squashed toric models with the Vafa-Witten partition functions of = 4 SYM theory on ℂℙ2.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of High Energy Physics (Online)
- Journal Volume
- 2019
- Journal Issue
- 2
- Journal Page Range
- p. 1-44
- ISSN
- 1029-8479
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54067461
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- CONFORMAL INVARIANCE; ONE-DIMENSIONAL CALCULATIONS; PARTITION FUNCTIONS; QUANTUM FIELD THEORY; SIGMA MODEL; STRING THEORY; SYMMETRY
- Descriptors DEC
- BOSON-EXCHANGE MODELS; FIELD THEORIES; FUNCTIONS; INVARIANCE PRINCIPLES; MATHEMATICAL MODELS; M-THEORY; PARTICLE MODELS; PERIPHERAL MODELS
Optional Information
- Copyright
- Copyright (c) 2019 The Author(s)