On the nature of Bregman functions
Edouard Pauwels
TL;DR
The paper characterizes when a Legendre function $h$ on a convex compact domain $C$ induces a Bregman divergence that yields convergent behavior for Fejér-type sequences. It shows that the boundary compatibility condition $D_h(y,x_k)\to 0$ (eq:convB) holds if and only if $C$ is a polytope, while strict convexity of $h$ on $C$ is equivalent to the interior condition $D_h(y,x_k)\to 0$ implying $x_k\to y$ (eq:convA). The main theorem then states that if $C$ is a polytope and $h$ is strictly convex on $C$, every weak $D$-Fejér sequence converges, connecting geometric domain structure with algorithmic convergence in Bregman-based methods such as Mirror Descent and NoLips. Extensions address unbounded domains and relaxed regularity, showing local polyhedrality suffices in broader settings, albeit with limitations for non-polyhedral domains. These results clarify when classical Fejér-analytic convergence arguments are valid and highlight the need for refined tools beyond Bregman conditions in non-polyhedral contexts.
Abstract
Let C be convex, compact, with nonempty interior and h be Legendre with domain C, continuous on C. We prove that h is Bregman if and only if it is strictly convex on C and C is a polytope. This provides insights on sequential convergence of many Bregman divergence based algorithm: abstract compatibility conditions between Bregman and Euclidean topology may equivalently be replaced by explicit conditions on h and C. This also emphasizes that a general convergence theory for these methods (beyond polyhedral domains) would require more refinements than Bregman's conditions.
