- Open Access
Ordering transition of the three-dimensional four-state random-field Potts model
Phys. Rev. B 111, 214434 – Published 24 June, 2025
DOI: https://doi.org/10.1103/fl4b-qgf1
Abstract
Spin systems exposed to the influence of random magnetic fields are paradigmatic examples for studying the effect of quenched disorder on condensed-matter systems. In this context, previous studies have almost exclusively focused on systems with Ising or continuous symmetries, while the Potts symmetry, albeit being of fundamental importance also for the description of realistic physical systems, has received very little attention. In the present study, we use a recently developed quasiexact method for determining ground states in the random-field Potts model to study the problem with four states. Extending the protocol applied for the three-state model, we use extensive finite-size scaling analyses of the magnetization, Binder parameter, energy cumulant, specific heat, and the connected as well as disconnected susceptibilities to study the magnetic ordering transition of the model. In contrast to the system in the absence of disorder, we find compelling evidence for a continuous transition, and we precisely determine the critical point as well as the critical exponents, which are found to differ from the exponents of the three-state system as well as from those of the random-field Ising model.
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References (62)
- V. Dotsenko, Introduction to the Replica Theory of Disordered Statistical Systems (Cambridge University Press, Cambridge, 2001).
- A. P. Young, ed., Spin Glasses and Random Fields (World Scientific, Singapore, 1997).
- D. S. Fisher, Scaling and critical slowing down in random-field Ising systems, Phys. Rev. Lett. 56, 416 (1986).
- A. Aharony, Y. Imry, and S.-K. Ma, Lowering of dimensionality in phase transitions with random fields, Phys. Rev. Lett. 37, 1364 (1976).
- G. Parisi and N. Sourlas, Random magnetic fields, supersymmetry, and negative dimensions, Phys. Rev. Lett. 43, 744 (1979).
- M. Tissier and G. Tarjus, Supersymmetry and its spontaneous breaking in the random field Ising model, Phys. Rev. Lett. 107, 041601 (2011).
- N. G. Fytas, V. Martín-Mayor, M. Picco, and N. Sourlas, Restoration of dimensional reduction in the random-field Ising model at five dimensions, Phys. Rev. E 95, 042117 (2017).
- Y. Imry and S.-K. Ma, Random-field instability of the ordered state of continuous symmetry, Phys. Rev. Lett. 35, 1399 (1975).
- M. Aizenman and J. Wehr, Rounding of first-order phase transitions in systems with quenched disorder, Phys. Rev. Lett. 62, 2503 (1989).
- F.-Y. Wu, The Potts model, Rev. Mod. Phys. 54, 235 (1982).
- R. B. Potts, Some generalized order-disorder transformations, in Mathematical Proceedings of the Cambridge Philosophical Society (Cambridge University Press, Cambridge, 1952), Vol. 48, pp. 106–109.
- M. Picco, Weak randomness for large -state Potts models in two dimensions, Phys. Rev. Lett. 79, 2998 (1997).
- H. G. Ballesteros, L. A. Fernández, V. Martín-Mayor, A. Muñoz Sudupe, G. Parisi, and J. J. Ruiz-Lorenzo, Effect of dilution on first order transitions: The three dimensional three states Potts model, Phys. Rev. B 61, 3215 (2000).
- C. Chatelain, P. E. Berche, B. Berche, and W. Janke, Influence of dilution on the strong first-order phase transition of the 3D 4-state Potts model, Comput. Phys. Commun. 147, 431 (2002).
- B. Berche and C. Chatelain, Phase transitions in two-dimensional random Potts models, in Order, Disorder and Criticality, edited by Y. Holovatch (World Scientific, Singapore, 2004), p. 147.
- G. Delfino, Exact results for quenched bond randomness at criticality, Phys. Rev. Lett. 118, 250601 (2017).
- K. Binder and J. Reger, Theory of orientational glasses models, concepts, simulations, Adv. Phys. 41, 547 (1992).
- K. Michel, Theory of the orientational glass state in mixed crystals, Phys. Rev. Lett. 57, 2188 (1986); Theory of the orientational glass state in mixed crystals . II. Dynamics, Phys. Rev. B 35, 1414 (1987).
- A. Aharony, K. Müller, and W. Berlinger, Trigonal-to-tetragonal transition in stressed : A realization of the three-state Potts model, Phys. Rev. Lett. 38, 33 (1977).
- E. Domany, Y. Shnidman, and D. Mukamel, Type I FCC antiferromagnets in a magnetic field: a realisation of the - and -state Potts models, J. Phys. C 15, L495 (1982).
- D. Blankschtein, Y. Shapir, and A. Aharony, Potts models in random fields, Phys. Rev. B 29, 1263 (1984).
- H. Nishimori, Potts model in random fields, Phys. Rev. B 28, 4011 (1983).
- K. Eichhorn and K. Binder, Monte Carlo investigation of the three-dimensional random-field three-state Potts model, J. Phys.: Condens. Matter 8, 5209 (1996).
- K. Eichhorn and K. Binder, The three-dimensional three-state Potts ferromagnet exposed to random fields: Evidence for a second order transition, Z. Phys. B 99, 413 (1995).
- K. Eichhorn and K. Binder, Finite-size scaling study of the three-state Potts model in random fields: Evidence for a second-order transition, Europhys. Lett. 30, 331 (1995).
- P. Reed, The Potts model in a random field: A Monte Carlo study, J. Phys. C 18, L615 (1985).
- W. Janke and R. Villanova, Three-dimensional 3-state Potts model revisited with new techniques, Nucl. Phys. B 489, 679 (1997).
- A. K. Hartmann, Calculation of partition functions by measuring component distributions, Phys. Rev. Lett. 94, 050601 (2005).
- J. Cardy, Quenched randomness at first-order transitions, Physica A 263, 215 (1999).
- Y. Y. Goldschmidt and G. Xu, Phase diagrams of the random-field Potts model in three dimensions, Phys. Rev. B 32, 1876 (1985); The random-field Potts model in three dimensions, Nucl. Phys. B 265, 1 (1986).
- J. A. d'Auriac, M. Preissmann, and R. Rammal, The random field Ising model: Algorithmic complexity and phase transition, J. Phys. Lett. 46, 173 (1985).
- L. R. Ford Jr. and D. R. Fulkerson, Flows in Networks (Princeton University Press, Princeton, 2015).
- A. V. Goldberg and R. E. Tarjan, A new approach to the maximum-flow problem, J. ACM 35, 921 (1988).
- Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, IEEE Trans. Pattern Anal. Machine Intell. 26, 1124 (2004).
- M. Kumar, R. Kumar, M. Weigel, V. Banerjee, W. Janke, and S. Puri, Approximate ground states of the random-field Potts model from graph cuts, Phys. Rev. E 97, 053307 (2018).
- Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Trans. Pattern Anal. Machine Intell. 23, 1222 (2001).
- M. Kumar and M. Weigel, Quasi-exact ground-state extrapolation for the random-field Potts model, Comput. Phys. Commun. 286, 108685 (2023).
- M. Kumar, V. Banerjee, S. Puri, and M. Weigel, Critical behavior of the three-state random-field Potts model in three dimensions, Phys. Rev. Res. 4, L042041 (2022).
- M.-S. Vaezi, G. Ortiz, M. Weigel, and Z. Nussinov, Binomial spin glass, Phys. Rev. Lett. 121, 080601 (2018).
- T. Nattermann, Theory of the random field Ising model, in Spin Glasses and Random Fields (World Scientific, Singapore, 1998), pp. 277–298.
- https://github.com/manojkmr8788/potts.
- M. S. Challa, D. P. Landau, and K. Binder, Finite-size effects at temperature-driven first-order transitions, Phys. Rev. B 34, 1841 (1986).
- S. Chen, A. M. Ferrenberg, and D. Landau, Monte Carlo simulation of phase transitions in a two-dimensional random-bond Potts model, Phys. Rev. E 52, 1377 (1995).
- B. Efron, The Jackknife, the Bootstrap and Other Resampling Plans (SIAM, Philadelphia, 1982).
- R. G. Miller, The jackknife—a review, Biometrika 61, 1 (1974).
- O. Melchert, AutoScale.py—A program for automatic finite-size scaling analyses: A user's guide, arXiv:0910.5403.
- W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C (Cambridge University Press Cambridge, 1996).
- Note that the cumulant was not defined using central moments.
- J. Lee and J. Kosterlitz, Finite-size scaling and Monte Carlo simulations of first-order phase transitions, Phys. Rev. B 43, 3265 (1991).
- V. Privman, Finite-size scaling theory, in Finite Size Scaling and Numerical Simulation of Statistical Systems, edited by V. Privman (World Scientific, Singapore, 1990), pp. 1–98.
- K. Binder, Finite size scaling analysis of Ising model block distribution functions, Z. Phys. B 43, 119 (1981).
- K. Binder and D. W. Heermann, Monte Carlo Simulation in Statistical Physics, 5th ed. (Springer, Berlin, Heidelberg, 2010).
- A. Hartmann and A. Young, Specific-heat exponent of random-field systems via ground-state calculations, Phys. Rev. B 64, 214419 (2001).
- D. Amit and V. Martín-Mayor, Field Theory, The Renormalization Group, and Critical Phenomena: Graphs to Computers, 3rd ed. (World Scientific, Singapore, 2005).
- M. Schwartz and A. Soffer, Exact inequality for random systems: Application to random fields, Phys. Rev. Lett. 55, 2499 (1985).
- W. Janke and A. M. J. Schakel, Fractal structure of spin clusters and domain walls in the two-dimensional Ising model, Phys. Rev. E 71, 036703 (2005).
- M. Akritidis, N. G. Fytas, and M. Weigel, Geometric clusters in the overlap of the Ising model, Phys. Rev. E 108, 044145 (2023).
- M. Schwartz, Breakdown of hyperscaling in random systems–an inequality, Europhys. Lett. 15, 777 (1991).
- G. Grinstein, Ferromagnetic phase transitions in random fields: The breakdown of scaling laws, Phys. Rev. Lett. 37, 944 (1976).
- M. Schwartz, The random-field puzzle. I. Solution by equivalent annealing, J. Phys. C 18, 135 (1985).
- M. Schwartz, M. Gofman, and T. Natterman, On the missing scaling relation in random field systems, Physica A 178, 6 (1991).
- This is in contrast to the RFIM for different lattice dimensions, where is found to increase up to in , see Ref. [7].