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Variational principle of classical density functional theory via Levy's constrained search method
Wipsar Sunu Brams Dwandaru1, Matthias Schmidt
1H H Wills Physics Laboratory, University of Bristol, Royal Fort, Bristol, United Kingdom.
This study grounds classical density functional theory in the constrained search method, offering a new variational principle for the grand potential. It provides an explicit definition for the intrinsic Helmholtz free-energy functional, applicable to various ensembles.
Area of Science:
- Quantum mechanics
- Statistical mechanics
- Condensed matter physics
Background:
- Classical density functional theory (DFT) is a powerful tool for studying many-body systems.
- Existing DFT formulations often rely on implicit definitions of energy functionals.
- A rigorous foundation for DFT is essential for its accurate application.
Purpose of the Study:
- To reformulate classical density functional theory using the constrained search method.
- To derive a variational principle for the grand potential based on Gibbs inequality.
- To establish an explicit expression for the intrinsic Helmholtz free-energy functional.
Main Methods:
- Application of the constrained search method to derive DFT.
- Utilizing Gibbs inequality to establish a variational principle for the grand potential.
- Two-stage minimization involving a constrained search for many-body distributions and minimization with respect to one-body density.
Main Results:
- Demonstration that classical DFT can be founded on the constrained search method.
- Derivation of a variational principle for the grand potential as a functional of trial many-body distributions.
- Definition of an intrinsic Helmholtz free-energy functional independent of external potentials.
Conclusions:
- The constrained search method provides a rigorous foundation for classical density functional theory.
- The derived framework offers an explicit and versatile approach to DFT calculations.
- The method is readily extendable to the canonical ensemble, enhancing its applicability.
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