Related Experiment Video
Updated: Oct 8, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Density-functional theory on graphs
Markus Penz1, Robert van Leeuwen2
1Department of Mathematics, University of Innsbruck, Innsbruck, Austria.
Density-functional theory (DFT) principles are explored for graph-based lattice systems. The study finds the Hohenberg-Kohn theorem generally invalid but reveals insights into density-potential mapping, proving unique v-representability for most densities.
Area of Science:
- Condensed matter physics
- Quantum chemistry
- Computational materials science
Background:
- Density-functional theory (DFT) is a cornerstone for electronic structure calculations.
- The Hohenberg-Kohn theorems are foundational to DFT, establishing the unique mapping between electron density and external potential.
- Lattice systems offer a simplified yet relevant model for studying quantum mechanical properties.
Purpose of the Study:
- To investigate the validity of density-functional theory principles in finite lattice systems.
- To analyze the topological structure of the density-potential mapping.
- To establish conditions for unique v-representability of ground states in these systems.
Main Methods:
- Theoretical analysis of density-functional theory principles applied to graph-represented finite lattice systems.
- Investigation of the density-potential mapping's topological properties.
- Derivation of conditions for unique v-representability.
Main Results:
- The fundamental Hohenberg-Kohn theorem is found to be generally void for finite lattice systems.
- Significant insights into the topological structure of the density-potential mapping are obtained.
- Precise conditions for unique v-representability are established, proven to hold for almost all densities.
- Demonstration of the non-convexity of the pure-state constrained-search functional through examples.
Conclusions:
- The applicability of standard density-functional theory requires careful consideration in finite lattice systems.
- The study provides a refined understanding of v-representability and the mapping properties within DFT.
- New theoretical frameworks may be needed to fully capture the behavior of electronic systems in discrete spaces.
More Related Videos
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
Related Concept Videos
Probability Distributions
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Elastic Curve from the Load Distribution
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments.
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs
On the other hand, integral calculus focuses on...