F-stationarity of proximal-gradient cluster points under continuous differentiability

Determine whether every cluster point of a sequence generated by the proximal gradient method for minimizing the sum F+φ is a Fréchet stationary point of F+φ when F is continuously differentiable, without assuming that the gradient of F is locally Lipschitz continuous.

Background

The paper studies proximal gradient methods for minimizing F+φ, where F may be nonsmooth or nonconvex and φ is proper, lower semicontinuous, and prox-bounded. Under the paper’s local Lipschitz smoothness assumption on F, the authors prove that every cluster point of a proximal-gradient sequence satisfying the standard intermediate convergence conditions is a proximal stationary point, which is stronger than Fréchet stationarity.

The unresolved question concerns weakening the regularity of F from locally Lipschitz-continuous differentiability to mere continuous differentiability. The authors explicitly identify whether cluster points retain Fréchet stationarity under this weaker assumption as an open question and do not resolve it in the paper.

References

We finally note that another open question inSect. 9 still remains: whether every cluster point of $(\bm{x}{n}){n=1}{\infty}$ generated by PGM in~eq:PGM is an {\rm F}-stationary point of $F+\phi$ or not under a weaker condition, namely the continuous differentiability of $F$, than Assumption~\ref{assumption:smooth}.

Asymptotic Analysis of Gradient Mapping-type Stationarity Measure for the Sum of Nonconvex Nonsmooth Functions and Applications to Proximal Gradient-type Algorithms  (2609.03950 - Kume et al., 3 Sep 2026) in Section 5, immediately following Corollary 5.2 (the paragraph before Section 6)