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Moreau--Yosida regularization in DFT

2022/08/10 by Simen Kvaal, Kvaal, Simen · 1 citation
Materials Science · Computer Science · #Magnetic and transport properties of perovskites and related materials #Matrix Theory and Algorithms #Ferroelectric and Piezoelectric Materials

paper · pdf · doi:10.48550/arxiv.2208.05268

Abstract

Moreau-Yosida regularization is introduced into the framework of exact DFT. Moreau-Yosida regularization is a lossless operation on lower semicontinuous proper convex functions over separable Hilbert spaces, and when applied to the universal functional of exact DFT (appropriately restricted to a bounded domain), gives a reformulation of the ubiquitous v-representability problem and a rigorous and illuminating derivation of Kohn-Sham theory. The chapter comprises a self-contained introduction to exact DFT, basic tools from convex analysis such as sub- and superdifferentiability and convex conjugation, as well as basic results on the Moreau-Yosida regularization. The regularization is then applied to exact DFT and Kohn-Sham theory, and a basic iteration scheme based in the Optimal Damping Algorithm is analyzed. In particular, its global convergence established. Some perspectives are offered near the end of the chapter.

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