TY - JOUR
T1 - Towards logarithmic GLSM
T2 - The r-spin case
AU - Chen, Qile
AU - Janda, Felix
AU - Ruan, Yongbin
AU - Sauvaget, Adrien
N1 - Funding Information:
formed the start of this collaboration. Janda and Ruan would like to thank Shuai Guo for the collaboration which provided motivation for the current work. The authors would like to thank Rahul Pandharipande for the continuous support and the wonderful Workshop on higher genus at ETH Zürich, where our entire program was presented at the first time. We would also like to thank Dawei Chen, Alessandro Chiodo, Jérémy Guéré, Davesh Maulik, Jonathan Wise and Dimitri Zvonkine for useful discussions. Finally, Janda and Ruan would like to thank MSRI for the hospitality where the paper was finished during a visit supported by NSF grant DMS-1440140.
Funding Information:
Chen was partially supported by NSF grants DMS 1560830 and DMS 1700682. Janda was partially supported by an AMS Simons travel grant and NSF grants DMS-1901748 and DMS-1638352. Ruan was partially supported by NSF grant DMS 1405245 and NSF FRG grant DMS 1159265.
Publisher Copyright:
© 2022 Mathematical Sciences Publishers.
PY - 2022
Y1 - 2022
N2 - We establish the logarithmic foundation for compactifying the moduli stacks of the gauged linear sigma model using stable log maps. We then illustrate our method via the key example of Witten’s r-spin class to construct a proper moduli stack with a reduced perfect obstruction theory whose virtual cycle recovers the r-spin virtual cycle of Chang, Li and Li. Indeed, our construction of the reduced virtual cycle is built upon their work by appropriately extending and modifying the Kiem-Li cosection along certain logarithmic boundary. In a follow-up article, we push the technique to a general situation. One motivation of our construction is to fit the gauged linear sigma model in the broader setting of Gromov-Witten theory so that powerful tools such as virtual localization can be applied. A project along this line is currently in progress, leading to applications including computing loci of holomorphic differentials, and calculating higher-genus Gromov-Witten invariants of quintic threefolds.
AB - We establish the logarithmic foundation for compactifying the moduli stacks of the gauged linear sigma model using stable log maps. We then illustrate our method via the key example of Witten’s r-spin class to construct a proper moduli stack with a reduced perfect obstruction theory whose virtual cycle recovers the r-spin virtual cycle of Chang, Li and Li. Indeed, our construction of the reduced virtual cycle is built upon their work by appropriately extending and modifying the Kiem-Li cosection along certain logarithmic boundary. In a follow-up article, we push the technique to a general situation. One motivation of our construction is to fit the gauged linear sigma model in the broader setting of Gromov-Witten theory so that powerful tools such as virtual localization can be applied. A project along this line is currently in progress, leading to applications including computing loci of holomorphic differentials, and calculating higher-genus Gromov-Witten invariants of quintic threefolds.
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U2 - 10.2140/gt.2022.26.2855
DO - 10.2140/gt.2022.26.2855
M3 - Article
AN - SCOPUS:85147370824
SN - 1465-3060
VL - 26
SP - 2855
EP - 2939
JO - Geometry and Topology
JF - Geometry and Topology
IS - 7
ER -