Preprint / scholarly article

Reversible Persistence-First Holographic Systems

K. Takahashi

Published
DOI
10.5281/zenodo.17706175

Full text PDF (Zenodo)

Abstract

Instead of using PDEs as primitives, the paper works in the metric–measure framework of EVI (evolution variational inequality) gradient flows on the Wasserstein space of probability laws.

Keywords

  • AI
  • gradient flows
  • mathematical model
  • information theory
  • PFHS
  • persistence-first holographic systems
  • geometry
  • hellinger-kantorovich distance
  • bures metric
  • entropy-transport

Identifiers and source records