Mathematical optimization Created 2026-09-24 Updated 2026-09-24
Mathematical optimization studies extrema under constraints.
Optimization constraint 2026-10-06
An optimization constraint restricts the feasible points in constrained optimization, for example by an equality or an inequality . Extrema are considered on the resulting feasible set rather than on the whole domain of the objective.
Use the stable parameters . The bulk stationary points satisfy . For , has negative curvature, while the two minima are
Both have and . To establish minimization at fixed total composition, write
For mean composition with , a mixture of the two minima with volume fraction in the positive phase attains this lower bound in the bulk. Macroscopic slabs have only a subextensive interfacial excess free energy, so the bound is attained per unit volume in the thermodynamic limit. Thus constrained minimization gives phase coexistence in the mean-field approximation; at the endpoints only one phase is needed.
The two equilibrium conditions also follow directly by constrained optimization. Introduce a Lagrange multiplier for in the mixture's bulk free-energy density. Varying and gives ; varying gives . These equate the chemical potentials and pressures, respectively.
Equivalently, their bulk chemical potentials are both zero and their pressures are equal:
These are precisely the conditions of the common-tangent construction for phase coexistence: the horizontal supporting tangent touches both minima. Equal chemical potentials prevent net composition exchange, and equal pressure gives mechanical equilibrium at a flat interface.