Preprint / scholarly article

Reversible Persistence-First Holographic Systems

K. Takahashi

Published
DOI
10.5281/zenodo.17706175

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