Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/48965| Title: | A novel construction of de Sitter vacua in heterotic string theory | Authors: | MIR, Faizal Shabir, Arshid |
Issue Date: | 2026 | Publisher: | IOP Publishing Ltd | Source: | Journal of Cosmology and Astroparticle Physics, 2026 (4) (Art N° 007) | Abstract: | We present a concrete string-theoretic mechanism that generates four-dimensional de Sitter vacua from non-geometric R-flux compactifications of heterotic string theory. The construction rests on three pillars: the Malcev algebra generated by the R-flux phase-space brackets; its universal Sabinin envelope, which ensures a consistent non-associative gauge structure in doubled geometry; and the leading alpha-prime torsion-squared correction to the heterotic action, whose strictly positive contribution uplifts the scalar potential. Positivity, guaranteed by Sabinin-algebra identities, stabilizes the overall breathing mode at positive energy, yielding a controlled metastable de Sitter scenario within heterotic effective field theory when supplemented by a standard hidden-sector gaugino-condensation uplift. | Notes: | Faizal, M (corresponding author), Univ British Columbia Okanagan, Irving K Barber Sch Arts & Sci, Kelowna, BC V1V 1V7, Canada.; Faizal, M (corresponding author), Canadian Quantum Res Ctr, 460 Doyle Ave 106, Kelowna, BC V1Y 0C2, Canada.; Faizal, M (corresponding author), Durham Univ, Dept Math Sci, Upper Mountjoy, Stockton Rd, Durham DH1 3LE, England.; Faizal, M (corresponding author), Hasselt Univ, Computat Math Grp, Fac Sci, Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium. aslone186@gmail.com; mirfaizalmir@gmail.com |
Keywords: | Gauss-Bonnet-Lovelock-Horndeski-Palatini etc;gravity theories;string theory and cosmology | Document URI: | http://hdl.handle.net/1942/48965 | ISSN: | 1475-7516 | e-ISSN: | 1475-7516 | DOI: | 10.1088/1475-7516/2026/04/007 | ISI #: | 001739918300007 | Rights: | 2026 IOP Publishing Ltd and Sissa Medialab. All rights, including for text and data mining, AI training, and similar technologies, are reserved. | Category: | A1 | Type: | Journal Contribution |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| xx.pdf Restricted Access | Published version | 948.31 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.