English

Gradient Flows for Frame Potentials on the Wasserstein Space

Functional Analysis 2022-12-01 v3

Abstract

In this paper we bring together some of the key ideas and methods of two disparate fields of mathematical research, frame theory and optimal transport, using the methods of the second to answer questions posed in the first. In particular, we construct gradient flows in the Wasserstein space P2(Rd)P_2(\mathbb{R}^d) for a new potential, the tightness potential, which is a modification of the probabilistic frame potential. It is shown that the potential is suited for the application of a gradient descent scheme from optimal transport that can be used as the basis of an algorithm to evolve an existing frame toward a tight probabilistic frame.

Keywords

Cite

@article{arxiv.1808.09319,
  title  = {Gradient Flows for Frame Potentials on the Wasserstein Space},
  author = {Clare Wickman and Kasso Okoudjou},
  journal= {arXiv preprint arXiv:1808.09319},
  year   = {2022}
}

Comments

This revision to the paper incorporates a technical restriction on the domain of the tightness potential to those with bounded moment of some order above 2. It also updates our references

R2 v1 2026-06-23T03:46:26.982Z