Energy landscape analysis of the two-dimensional nearest-neighbor ϕ^4 model
arXiv:1202.3320 · doi:10.1103/PhysRevE.85.061103
Abstract
The stationary points of the potential energy function of the ϕ^4 model on a two-dimensional square lattice with nearest-neighbor interactions are studied by means of two numerical methods: a numerical homotopy continuation method and a globally-convergent Newton-Raphson method. We analyze the properties of the stationary points, in particular with respect to a number of quantities that have been conjectured to display signatures of the thermodynamic phase transition of the model. Although no such signatures are found for the nearest-neighbor ϕ^4 model, our study illustrates the strengths and weaknesses of the numerical methods employed.
11 pages, 6 figures
References in corpus (12)
- Phase transitions and configuration space topology
- Finding All the Stationary Points of a Potential Energy Landscape via Numerical Polynomial Homotopy Continuation Method
- Phase transitions and topology changes in configuration space
- Phase transitions detached from stationary points of the energy landscape
- Unattainability of a purely topological criterion for the existence of a phase transition for non-confining potentials
- Numerical Polynomial Homotopy Continuation Method and String Vacua
- Stationary point analysis of the one-dimensional lattice Landau gauge fixing functional, aka random phase XY Hamiltonian
- Phase transitions induced by saddle points of vanishing curvature
- Nonanalyticities of the entropy induced by saddle points of the potential energy landscape
- Topological approach to phase transitions and inequivalence of statistical ensembles
- Stationary point approach to the phase transition of the classical XY chain with power-law interactions
- alphaCertified: certifying solutions to polynomial systems
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