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The 23 pages that link to Order parameter, each with the reason it gives.

• Phase transitionRelated: Its behavior identifies how symmetry or structure changes across a transition.

• Spontaneous symmetry breakingRelated: Its nonzero value often signals that the realized state is asymmetric.

• SuperfluidityRelated: A complex order parameter describes the superfluid's coherent phase and density.

• Critical pointRelated: Liquid–gas density difference acts as an order parameter that vanishes at the critical point.

• Mean-field theoryRelated: Its average often supplies the effective field that defines a mean-field solution.

• Critical temperatureRelated: Its behavior near the transition helps identify and characterize a critical temperature.

• Lev LandauRelated: It is the central variable in Landau’s phenomenological account of phase changes.

• Universality classRelated: Its symmetry and critical behavior help classify transitions and their universality.

• Self-organizationRelated: It makes the onset and strength of collective order measurable.

• Symmetry breakingRelated: Its value can make the transition from a symmetric state to a broken-symmetry state measurable.

• Critical phenomenaRelated: Its vanishing or changing value often marks the continuous transition.

• Finite-size scalingRelated: Its size-dependent distribution often tracks the onset of order.

• Liquid crystalRelated: It quantifies how strongly molecules share a common orientation.

• Coarse-grainingRelated: Coarse descriptions often retain order parameters while discarding less relevant microscopic details.

• PhaseRelated: Its value can identify which phase a material occupies.

• Vitaly GinzburgRelated: The complex order parameter is the central variable in Ginzburg–Landau theory.

• Anthony LeggettRelated: Leggett’s description of helium-3 uses an order parameter with spin and orbital structure.

• Classical spin modelsRelated: Magnetization often measures the ordering that spin models undergo.

• Mean-field and cluster methodsRelated: Self-consistent approximations commonly predict phases through an order parameter.

• Pierre-Gilles de GennesRelated: De Gennes used order parameters to describe transitions in liquid crystals and superconductors.