Copula methods for modeling pair densities in density functional theory
Geneviève Dusson, Claudia Klüppelberg, Gero Friesecke
TL;DR
This work introduces a generalized copula framework to model the density-to-pair-density map in density functional theory by separating marginals (one-body density) from the dependence structure (pair density) via Brenier maps and optimal transport. It establishes a multidimensional Sklar-type theorem, derives exact copulas for standard DFT models (Hartree, LDA, SCE), and provides dissociation-limit results showing universal or subsystem-based structures. Numerical 1D studies for 2–4 electrons validate the theory, reveal multiscale copula features, and demonstrate that simple, learned (e.g., sigmoid) copula models can accurately reproduce pair densities and Coulomb energies, offering a promising path toward robust DFT descriptions in strongly correlated regimes. The results suggest that copula-based representations can foreground inter-electronic correlations and enable machine-learned, physically constrained copulas to improve beyond conventional functionals in challenging regimes.
Abstract
We propose a new approach towards approximating the density-to-pair-density map based on copula theory from statistics. We extend the copula theory to multi-dimensional marginals, and deduce that one can describe any (exact or approximate) pair density by the single-particle density and a copula. We present analytical formulas for the exact copula in scaling limits, numerically compute the copula for dissociating systems with two to four particles in one dimension, and propose accurate approximations of the copula between equilibrium and dissociation for two-particle systems.
