Secondary Hochschild homology and differentials
Jacob Laubacher

TL;DR
This paper explores a generalization of Kähler differentials through secondary Hochschild homology, providing computations in low dimensions and linking to the kernel of a multiplication map.
Contribution
It introduces a new framework connecting secondary Hochschild homology with generalized differentials and computes specific low-dimensional cases.
Findings
Computed low-dimensional cases of secondary Hochschild homology
Connected secondary Hochschild homology with the kernel of multiplication
Extended understanding of generalized Kähler differentials
Abstract
In this paper we study a generalization of K\"ahler differentials, which correspond to the secondary Hochschild homology associated to a triple . We establish computations in low dimension, while also showing how this connects with the kernel of a multiplication map.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAlgebraic structures and combinatorial models · Homotopy and Cohomology in Algebraic Topology · Algebraic Geometry and Number Theory
