Geometric Decomposition of Information Flow and Optimal Transport in Langevin Systems

This article, sourced from ArXiv, likely presents a novel mathematical framework. The title suggests a focus on understanding information flow within overdamped Langevin systems using geometric methods, potentially connecting it to optimal transport theory within subsystems. This could have implications for fields like physics, machine learning, and data analysis where Langevin dynamics and optimal transport are relevant.

• •Focuses on geometric methods for analyzing information flow.
• •Applies to overdamped Langevin systems.
• •Potentially connects to optimal transport theory.
• •Likely targets a research audience.