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Potts model information


In statistical mechanics, the Potts model, a generalization of the Ising model, is a model of interacting spins on a crystalline lattice.[1] By studying the Potts model, one may gain insight into the behaviour of ferromagnets and certain other phenomena of solid-state physics. The strength of the Potts model is not so much that it models these physical systems well; it is rather that the one-dimensional case is exactly solvable, and that it has a rich mathematical formulation that has been studied extensively.

The model is named after Renfrey Potts, who described the model near the end of his 1951 Ph.D. thesis.[2] The model was related to the "planar Potts" or "clock model", which was suggested to him by his advisor, Cyril Domb. The four-state Potts model is sometimes known as the Ashkin–Teller model,[3] after Julius Ashkin and Edward Teller, who considered an equivalent model in 1943.

The Potts model is related to, and generalized by, several other models, including the XY model, the Heisenberg model and the N-vector model. The infinite-range Potts model is known as the Kac model. When the spins are taken to interact in a non-Abelian manner, the model is related to the flux tube model, which is used to discuss confinement in quantum chromodynamics. Generalizations of the Potts model have also been used to model grain growth in metals, coarsening in foams, and statistical properties of proteins.[4] A further generalization of these methods by James Glazier and Francois Graner, known as the cellular Potts model,[5] has been used to simulate static and kinetic phenomena in foam and biological morphogenesis.

  1. ^ Wu, F. Y. (1982-01-01). "The Potts model". Reviews of Modern Physics. 54 (1): 235–268. Bibcode:1982RvMP...54..235W. doi:10.1103/RevModPhys.54.235.
  2. ^ Potts, R. B. (January 1952). "Some generalized order-disorder transformations". Mathematical Proceedings of the Cambridge Philosophical Society. 48 (1): 106–109. Bibcode:1952PCPS...48..106P. doi:10.1017/S0305004100027419. ISSN 1469-8064. S2CID 122689941.
  3. ^ Ashkin, J.; Teller, E. (1943-09-01). "Statistics of Two-Dimensional Lattices with Four Components". Physical Review. 64 (5–6): 178–184. Bibcode:1943PhRv...64..178A. doi:10.1103/PhysRev.64.178.
  4. ^ Cite error: The named reference :1 was invoked but never defined (see the help page).
  5. ^ Graner, François; Glazier, James A. (1992-09-28). "Simulation of biological cell sorting using a two-dimensional extended Potts model". Physical Review Letters. 69 (13): 2013–2016. Bibcode:1992PhRvL..69.2013G. doi:10.1103/PhysRevLett.69.2013. PMID 10046374.

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sample paths. Diffusion process is stochastic in nature and hence is used to model many real-life stochastic systems. Brownian motion, reflected Brownian motion...

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