Emergence of CY Triple Intersection Numbers in M-theory
Ralph Blumenhagen, Aleksandar Gligovic

TL;DR
This paper demonstrates that classical Yukawa couplings in type IIA Calabi-Yau compactifications can be derived from quantum one-loop effects involving BPS states, supporting the M-theoretic Emergence Proposal.
Contribution
It introduces a novel regularization method for infinite sums of Gopakumar-Vafa invariants, linking classical intersection numbers to quantum effects in string compactifications.
Findings
Classical Yukawa couplings derived from quantum one-loop integrals.
Regularization scheme involving Calabi-Yau degeneration limits.
Validation through explicit period calculations for specific threefolds.
Abstract
To give more credence to the M-theoretic Emergence Proposal it is important to show that also classical kinetic terms in a low energy effective action arise as a quantum effect from integrating out light towers of states. We show that for compactifications of type IIA on Calabi-Yau manifolds, the classical weak coupling Yukawa couplings, which are the triple intersection numbers of the Calabi-Yau threefold, can be obtained from the 1/2-BPS protected one-loop Schwinger integral over - bound states, after employing a novel regularization for the final infinite sum of Gopakumar-Vafa invariants. Approaching the problem in a consecutive manner from 6D decompactification over emergent string to the ultimate M-theory limits, we arrive at a mathematically concrete regularization that involves finite distance degeneration limits of Calabi-Yau threefolds in an intriguing way. We test and…
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
TopicsComputer Graphics and Visualization Techniques · Topological and Geometric Data Analysis · Computational Physics and Python Applications
