# Self-contracted curves are gradient flows of convex functions

**Authors:** Antoine Lemenant, Estibalitz Durand Cartagena

arXiv: 1802.07542 · 2018-02-22

## TL;DR

This paper establishes a characterization of certain smooth curves in Euclidean space as gradient flows of convex functions, linking geometric properties with variational principles.

## Contribution

It proves that strongly self-contracted $C^{1,eta}$ curves are exactly the gradient flows of convex functions, providing a new geometric-analytic characterization.

## Key findings

- Strongly self-contracted $C^{1,eta}$ curves are gradient flows of convex functions.
- Characterization bridges geometric properties with convex analysis.
- Results apply to curves with $eta 	ext{ in } (rac{1}{2},1]$.

## Abstract

In this paper we prove that any $C^{1,\alpha}$ curve in $\mathbb{R}^n$, with $\alpha \in (\frac{1}{2},1]$, is the solution of the gradient flow equation for some $C^1$ convex function $f$, if and only if it is strongly self-contracted.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1802.07542/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1802.07542/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/1802.07542/full.md

---
Source: https://tomesphere.com/paper/1802.07542