Geometric Relativity through Adaptive Wave Function Collapse
Jincheng Zhang
Abstract
This paper proposes a novel method for modeling geometric relativity, leveraging adaptive wave function collapse. Traditional geometric models often struggle to accurately represent the complex dynamics of spacetime. Our approach dynamically collapses wave functions based on observational data, creating a continuously evolving geometric model. We argue that this dynamic collapse is key to capturing the subtle shifts and transformations inherent in geometric relativity. This work introduces a system that analyzes a geometry and intelligently collapses wave functions to represent and predict changes.