Title: Non-Euclidean Topology via Wave Function Collapse
Jincheng Zhang
Abstract
This paper explores the potential of non-Euclidean topology, leveraging the principles of wave function collapse, to provide a novel framework for understanding fundamental geometric properties. We propose a model where topological information is encoded within a complex, multi-dimensional space, and the collapse of wave functions drives the emergence of new topological structures. The core mechanism centers around a probabilistic algorithm that evolves a system, leading to the unexpected formation of topological features. This work challenges traditional notions of topology and offers a pathway to exploring geometric structures beyond the constraints of Euclidean geometry. The investigation employs a novel approach to represent and analyze topological information through probabilistic dynamics, ultimately providing a framework for potentially uncovering new geometric laws.