# Gerbes, uncertainty and quantization

**Authors:** Tsemo Aristide

arXiv: 1904.10254 · 2019-04-24

## TL;DR

This paper explores how gerbes and descent theory can model the wave-like properties of matter, linking geometric obstructions to quantum uncertainty and string theory representations.

## Contribution

It introduces a novel approach using gerbes and descent theory to describe matter's wave properties through quantization and geometric obstructions.

## Key findings

- Gerbes represent the geometric obstruction to lifting bundles to vector bundles.
- Uncertainty in particle position is modeled by phase factors in projective bundles.
- The approach connects string theory concepts with differential geometry and quantum mechanics.

## Abstract

The explanation of the photoelectric effect by Einstein and Maxwell's field theory of electromagnetism have motivated De Broglie to make the hypothesis that matter exhibits both waves and particles like-properties. These representations of matter are enlightened by string theory which represents particles with stringlike entities. Mathematically, string theory can be formulated with a gauge theory on loop spaces which is equivalent to the differential geometry of gerbes. In this paper, we show that the descent theory of Giraud and Grothendieck can enable to describe the wave-like properties of the matter with the quantization of a theory of particles. The keypoint is to use the fact that the state space is defined by a projective bundle over the parametrizing manifold which induces a gerbe which represents the geometry obstruction to lift this bundle to a vector bundle. This is equivalent to saying that a phase is determined up to a complex number of module $1$. When this uncertainty occurs, we cannot locate precisely the position of a particle, and the smallest dimensional quantity that can be described is a $1$ dimensional manifold; this leads to the concept of wave properties of the matter and string theory.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1904.10254/full.md

---
Source: https://tomesphere.com/paper/1904.10254