Strongly convex functions, Moreau envelopes and the generic nature of convex functions with strong minimizers
Chayne Planiden, Xianfu Wang

TL;DR
This paper introduces a new metric for convex functions using Moreau envelopes, demonstrating the density of strongly convex functions and the prevalence of convex functions with strong minima.
Contribution
It defines a complete metric space for convex functions and analyzes the topological properties of strongly convex functions and those with strong minima.
Findings
The set of strongly convex functions is dense but of first category.
The set of convex functions with strong minima is of second category.
Convergence in the metric corresponds to epi-convergence.
Abstract
In this work, using Moreau envelopes, we define a complete metric for the set of proper lower semicontinuous convex functions. Under this metric, the convergence of each sequence of convex functions is epi-convergence. We show that the set of strongly convex functions is dense but it is only of the first category. On the other hand, it is shown that the set of convex functions with strong minima is of the second category.
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Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Fixed Point Theorems Analysis
