While working with Grothendieck's Quot-schemes and their virtual enumerative invariants, the author came across a combinatorial identity which would have followed as a consequence of a very general abstract machinery. We dedicate this short note to give a combinatorial proof of this identity which is closely related to the Lagrange inversion. A special case of the result was proved by Mathoverflow users "Alex Gavrilov" and "esg" answering our enquiry.
We study punctual Quot-schemes of projective curves, surfaces and Calabi-Yau fourfolds and the symmetry of their (virtual) invariants. Let Y be a variety in the above three classes, E Y → Y a torsion-free sheaf and Quot Y (E Y , n) the quot-scheme. Under some assumptions in the 4-fold case, Quot Y (E Y , n) is projective and carries a virtual fundamental class. Our goal is to give a(n almost) complete description of these classes and tautological integrals over them.We use novel methods developed in [8] relying on the wall-crossing framework of Joyce whichhave not yet been applied to this setting. We summarize here the main results:1. We show that the virtual cobordism class of Quot S (E S , n) depends only on rank. This implies in particular that for computing virtual Euler characteristic we may reduced to the case E S = C e .2. The quotient of generating series of tautological invariants is expressed in terms of a universal power-series and c 1 (E S ). This leads to a generalization of rationality statements where we additional determine the poles for the χ y -genus.3. We study a new 12-fold correspondence relating invariants of Calabi-Yau fourfolds, surfaces and curves. This includes a correspondence between virtual Segre and Verlinde series and improves on the 8-fold correspondence observed in [1].4. We study the higher rank Nekrasov genus and its cohomological limit both of which can be expressed in terms of the Mac-Mahon series M (q) = n>0 (1 − q n ) −n .Along the way, we proved a new combinatorial identity related to Lagrange inversion which appeared in the companion paper [6].
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.