Zeros of Random Sections on Line Bundles
Marcel Padilla
TL;DR
The work addresses how smoothed sections of discrete Hermitian line bundles on closed 2D simplicial surfaces generate zeros with signed multiplicities, and it analyzes their distribution on faces using a discrete smoothing operator $S_t = e^{-t\Delta}$.Two complementary approaches are developed: a discrete index method based on a rotation form and face indices, and an integral-geometry method via a Kodaira embedding into $\mathbb{CP}^{n-1}$ to relate zeros to signed hyperplane intersections.Key contributions include a discrete index framework for zero density, a transformation-formula-based signed integral geometry result linking densities to the Kähler angle, and a unified convergence analysis showing how smoothing concentrates density in the smallest eigenvalue eigenspace, with practical visualization guidance.These results advance the understanding of zero distributions in discretized line bundles and provide computational routes for predicting and visualizing zeros under smoothing, with implications for discrete spin geometry and direction-field design.
Abstract
Sections of line bundles on 2 dimensional surfaces in 3 dimensional space can have many distinct shapes. For practical purposes we prefer smooth sections that are visibly easy to follow. This is why smoothing operators have been developed on discrete surfaces as in the inspirational paper "Globally Optimal Direction Fields" [Knoeppel et al. 2013] that can be applied to any section to return another smoother section. We are interested to make predictions on one aspect of the resulting smoothed section's structure, namely position of its signed zeros. The zeros are the most noticeable feature of a section where the section values circles around a specific point. The purpose of this thesis is to predict the distribution of the smoothed section's signed zeros with multiplicity that are given by applying the smoothing operator to randomly generated sections of hermitian line bundles on closed simplicial complexes. This will be done in a discrete setting consequently meaning that we will compute the expected sum of indices on each face. Why and how we do this is this thesis' purpose to explain.
