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  • Open Access

Superstatistics in the context of relativity

Kamel Ourabah*

  • Theoretical Physics Laboratory, Faculty of Physics, University of Bab-Ezzouar, USTHB, Boite Postale 32, El Alia, Algiers 16111, Algeria

  • *Contact author: kam.ourabah@gmail.com; kourabah@usthb.dz

Phys. Rev. Research 7, 033190 – Published 25 August, 2025

DOI: https://doi.org/10.1103/7j5q-hxm2

Abstract

The statistical properties of space and astrophysical environments often exhibit heavy-tailed distributions, reflecting deviations from thermal equilibrium. These distributions can often be represented as a superposition of statistics, i.e., superstatistics. However, the heavy-tailed nature of these distributions can lead to significant nonphysical contributions from unrealistic superluminal particles, thereby biasing thermodynamic properties and the overall dynamics. In this work, we first quantify these unphysical effects for key thermodynamic quantities, like pressure and entropy, within the three universality classes of superstatistics, and we discuss a regularized formulation that resolves the issue without requiring a fully relativistic treatment. We then develop a relativistic extension of superstatistics by generalizing the Maxwell-Jüttner distribution to nonequilibrium settings. We derive the thermodynamic properties of the resulting distributions and analyze their asymptotic behavior in the weakly relativistic and ultrarelativistic limits. Finally, we apply our model to observational data of solar energetic protons and show that it provides an excellent fit, demonstrating its relevance for describing the statistical properties of high-energy astrophysical systems.

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References (112)

  1. S. Olbert, Summary of experimental results from M.I.T. Detector on IMP-1, in Physics of the Magnetosphere, Astrophysics and Space Science Library, edited by R. D. L. Carovillano and J. F. McClay (D. Reidel, Dordrecht, 1968), Vol. 10, p. 641.
  2. V. M. Vasyliunas, A survey of low-energy electrons in the evening sector of the magnetosphere with OGO 1 and OGO 3, J. Geophys. Res. 73, 2839 (1968).
  3. M. Maksimovic, V. Pierrard, and P. Riley, Ulysses electron distributions fitted with Kappa functions, Geophys. Res. Lett. 24, 1151 (1997).
  4. I. Zouganelis, Measuring suprathermal electron parameters in space plasmas: Implementation of the quasi-thermal noise spectroscopy with Kappa distributions using in situ Ulysses/URAP radio measurements in the solar wind, J. Geophys. Res. 113, A08111 (2008).
  5. G. Livadiotis and D. J. McComas, Beyond kappa distributions: Exploiting Tsallis statistical mechanics in space plasmas, J. Geophys. Res. 114, A11105 (2009).
  6. R. A. Cairns et al., Electrostatic solitary structures in non-thermal plasmas, Geophys. Res. Lett. 22, 2709 (1995).
  7. D. Moseev and M. Salewski, Bi-Maxwellian, slowing-down, and ring velocity distributions of fast ions in magnetized plasmas, Phys. Plasmas 26, 020901 (2019).
  8. M. Tribeche, R. Amour, and P. K. Shukla, Ion acoustic solitary waves in a plasma with nonthermal electrons featuring Tsallis distribution, Phys. Rev. E 85, 037401 (2012).
  9. G. Williams, I. Kourakis, F. Verheest, and M. A. Hellberg, Re-examining the Cairns-Tsallis model for ion acoustic solitons, Phys. Rev. E 88, 023103 (2013).
  10. M. N. S. Qureshi, H. A. Shah, G. Murtaza, S. J. Schwartz, and F. Mahmood, Parallel propagating electromagnetic modes with the generalized (r,q) distribution function, Phys. Plasmas 11, 3819 (2004).
  11. A. A. Abid, M. Z. Khan, Q. Lu, and S. L. Yap, A generalized AZ-non-Maxwellian velocity distribution function for space plasmas, Phys. Plasmas 24, 033702 (2017).
  12. J. C. Carvalho, J. D. do Nascimento, Jr., R. Silva, and J. R. De Medeiros, Non-Gaussian statistics and stellar rotational velocities of main-sequence field, Astrophys. J. 696, L48 (2009).
  13. J. C. Carvalho, R. Silva, J. D. do Nascimento, Jr., B. B. Soares, and J. R. De Medeiros, Observational measurement of open stellar clusters: A test of Kaniadakis and Tsallis statistics, Europhys. Lett. 91, 69002 (2010).
  14. B. B. Soares and J. R. P. Silva, On the rotation of ONC stars in the Tsallis formalism context, Europhys. Lett. 96, 19001 (2011).
  15. M. Curé, D. F. Rial, A. Christen, and J. Cassetti, A method to deconvolve stellar rotational velocities, Astron. Astrophys. 565, A85 (2014).
  16. A. L. B. Ribeiro, P. A. A. Lopes, and M. Trevisan, Non-Gaussian velocity distributions—the effect on virial mass estimates of galaxy groups, Mon. Not. R. Astron. Soc. 413, L81 (2011).
  17. M. Iranmanesh, H. Arjomand Kermani, and K. Ourabah, Superstatistics and stellar rotation: Modeling velocity distributions in six stellar groups, New Astron. 119, 102408 (2025).
  18. C. Tsallis, Possible generalization of Boltzmann-Gibbs statistics, J. Stat. Phys. 52, 479 (1988).
  19. G. Kaniadakis, Statistical mechanics in the context of special relativity, Phys. Rev. E 66, 056125 (2002).
  20. R. C. Dewar, Information theory explanation of the fluctuation theorem, maximum entropy production and self-organized criticality in non-equilibrium stationary states, J. Phys. A 36, 631 (2003).
  21. R. A. Treumann, Kinetic theoretical foundation of Lorentzian statistical mechanics, Phys. Scr. 59, 19 (1999).
  22. B. D. Shizgal, Kappa and other nonequilibrium distributions from the Fokker-Planck equation and the relationship to Tsallis entropy, Phys. Rev. E 97, 052144 (2018).
  23. A. D. Oylukan and B. D. Shizgal, Nonequilibrium distributions from the Fokker-Planck equation: Kappa distributions and Tsallis entropy, Phys. Rev. E 108, 014111 (2023).
  24. C. Beck and E. G. D. Cohen, Superstatistics, Physica A 322, 267 (2003).
  25. O. Barndorff-Nielsen, J. Kent, and M. Sørensen, Normal Variance-Mean Mixtures and z Distributions, Int. Stat. Rev. 50, 145 (1982).
  26. F. Sattin and L. Salasnich, Multiparameter generalization of nonextensive statistical mechanics, Phys. Rev. E 65, 035106(R) (2002).
  27. K. Ourabah, L. Aït Gougam, and M. Tribeche, Nonthermal and suprathermal distributions as a consequence of superstatistics, Phys. Rev. E 91, 012133 (2015).
  28. S. Davis et al., Single-particle velocity distributions of collisionless, steady-state plasmas must follow superstatistics, Phys. Rev. E 100, 023205 (2019).
  29. K. Ourabah, Demystifying the success of empirical distributions in space plasmas, Phys. Rev. Res. 2, 023121 (2020).
  30. S. Davis et al., Kappa distribution from particle correlations in nonequilibrium, steady-state plasmas, Phys. Rev. E 108, 065207 (2023).
  31. K. Ourabah, Quasiequilibrium self-gravitating systems, Phys. Rev. D 102, 043017 (2020).
  32. K. Ourabah, Generalized statistical mechanics of stellar systems, Phys. Rev. E 105, 064108 (2022).
  33. C. Beck, Statistics of three-dimensional Lagrangian turbulence, Phys. Rev. Lett. 98, 064502 (2007).
  34. A. Reynolds, Superstatistical mechanics of tracer-particle motions in turbulence, Phys. Rev. Lett. 91, 084503 (2003).
  35. M. Mehrafarin, Superstatistics as the statistics of quasiequilibrium states: Application to fully developed turbulence, Phys. Rev. E 84, 022102 (2011).
  36. I. Rouse and S. Willitsch, Superstatistical Energy Distributions of an Ion in an Ultracold Buffer Gas, Phys. Rev. Lett. 118, 143401 (2017).
  37. C. Beck and C. Tsallis, Anomalous velocity distributions in slow quantum-tunneling chemical reactions, Phys. Rev. Res. 7, L012081 (2025).
  38. M. Baiesi, M. Paczuski, and A. L. Stella, Intensity thresholds and the statistics of the temporal occurrence of solar flares, Phys. Rev. Lett. 96, 051103 (2006).
  39. J. Cheraghalizadeh, M. Seifi, Z. Ebadi, H. Mohammadzadeh, and M. N. Najafi, Superstatistical two-temperature Ising model, Phys. Rev. E 103, 032104 (2021).
  40. G. Wilk and Z. Włodarczyk, Consequences of temperature fluctuations in observables measured in high-energy collisions, Eur. Phys. J. A 48, 161 (2012).
  41. R. Großmann et al., Non-Gaussian displacements in active transport on a carpet of motile cells, Phys. Rev. Lett. 132, 088301 (2024).
  42. N. E. Mavromatos and S. Sarkar, Nonextensive statistics in stringy space-time foam models and entangled meson states, Phys. Rev. D 79, 104015 (2009).
  43. K. Ourabah, Fingerprints of nonequilibrium stationary distributions in dispersion relations, Sci. Rep. 11, 12103 (2021).
  44. G. C. Yalcin and C. Beck, Generalized statistical mechanics of cosmic rays: Application to positron-electron spectral indices, Sci. Rep. 8, 1764 (2018).
  45. A. Y. Abul-Magd, Modeling highway-traffic headway distributions using superstatistics, Phys. Rev. E 76, 057101 (2007).
  46. E. Van der Straeten and C. Beck, Superstatistical fluctuations in time series: Applications to share-price dynamics and turbulence, Phys. Rev. E 80, 036108 (2009).
  47. B. Schäfer, C. Beck, K. Aihara, D. Witthaut, and M. Timme, Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics, Nat. Energy 3, 119 (2018).
  48. L. Rydin Gorjão et al., Open database analysis of scaling and spatio-temporal properties of power grid frequencies, Nat. Commun. 11, 6362 (2020).
  49. M. O. Costa, R. Silva, and D. H. A. L. Anselmo, Superstatistical and DNA sequence coding of the human genome, Phys. Rev. E 106, 064407 (2022).
  50. G. Williams, B. Schäfer, and C. Beck, Superstatistical approach to air pollution statistics, Phys. Rev. Res. 2, 013019 (2020).
  51. L. Schumacher, P.-C. Bürkner, A. Voss, U. Köthe, and S. T. Radev, Neural superstatistics for Bayesian estimation of dynamic cognitive models, Sci. Rep. 13, 13778 (2023).
  52. C. Beck, E. G. D. Cohen, and H. L. Swinney, From time series to superstatistics, Phys. Rev. E 72, 056133 (2005).
  53. C. Beck, Superstatistics: Theoretical Concepts and Physical Applications, in Anomalous Transport: Foundations and Applications, edited by R. Klages, G. Radons, and I. M. Sokolov (Wiley-VCH, Weinheim, Germany, 2008), pp. 433–457.
  54. M. Planck, Zur Dynamik Bewegter Systeme (Königlich Preußische Akademie der Wissenschaften, Berlin, 1907), pp. 542.
  55. A. Einstein, Thermodynamische Begründung des photochemischen Åquivalenzgesetzes, Ann. Phys. 327, 180 (1907).
  56. F. Jüttner, Das Maxwellsche Gesetz der Geschwindigkeitsverteilung in der Relativtheorie, Ann. Phys. 339, 856 (1911).
  57. P. T. Landsberg and K. A. Johns, A relativistic generalization of thermodynamics, Nuovo Cimento B 52, 28 (1967).
  58. P. T. Landsberg, Does a moving body appear cool? Nature (London) 214, 903 (1967).
  59. N. G. van Kampen, Relativistic thermodynamics of moving systems, Phys. Rev. 173, 295 (1968).
  60. W. Israel, Thermodynamics of relativistic systems, Physica A 106, 204 (1981).
  61. K. Scherer, H. Fichtner, H. J. Fahr, and M. Lazar, On the Applicability of κ-distributions, Astrophys. J. 881, 93 (2019).
  62. S. Chandrasekhar, Stochastic problems in physics and astronomy, Rev. Mod. Phys. 15, 1 (1943).
  63. One may also think of Eq.  (1) from a Bayesian standpoint. From this perspective, P(E|β) represents the likelihood function and f(β) represents the prior, i.e., our prior knowledge about the parameter β.
  64. E. Van der Straeten and C. Beck, Superstatistical distributions from a maximum entropy principle, Phys. Rev. E 78, 051101 (2008).
  65. B. Liu and J. Goree, Superdiffusion and Non-Gaussian statistics in a driven-dissipative 2D dusty plasma, Phys. Rev. Lett. 100, 055003 (2008).
  66. E. Lutz, Anomalous diffusion and Tsallis statistics in an optical lattice, Phys. Rev. A 67, 051402(R) (2003).
  67. P. Douglas, S. Bergamini, and F. Renzoni, Tunable tsallis distributions in dissipative optical lattices, Phys. Rev. Lett. 96, 110601 (2006).
  68. G. Baris Bağci and U. Tirnakli, Self-organization in dissipative optical lattices, Chaos 19, 033113 (2009).
  69. V. Khachatryan et al. (CMS Collaboration), Transverse-momentum and pseudorapidity distributions of charged hadrons in pp collisions at s=7TeV, Phys. Rev. Lett. 105, 022002 (2010).
  70. A. Adare et al. (PHENIX Collaboration), Measurement of neutral mesons in p+p collisions at s=200GeV and scaling properties of hadron production, Phys. Rev. D 83, 052004 (2011).
  71. Note that this type of distribution can be derived by maximizing generalized forms of entropy, such as Tsallis or Rényi entropies. However, determining the exponent of the resulting power-law distribution goes beyond the entropy maximization procedure and requires additional fitting, as discussed in Ref.  [72].
  72. T. Oikonomou, K. Kaloudis, and G. B. Bagci, The q-exponentials do not maximize the Rényi entropy, Physica A 578, 126126 (2021).
  73. C. Beck, Dynamical foundations of nonextensive Statistical Mechanics, Phys. Rev. Lett. 87, 180601 (2001).
  74. G. Livadiotis and D. J. McComa, Invariant Kappa distribution in space plasmas out of equilibrium, Astrophys. J. 741, 88 (2011).
  75. M. P. Leubner, A nonextensive entropy approach to Kappa-distributions, Astrophys. Space Sci. 282, 573 (2002).
  76. R. Li and S. Nadarajah, A review of Student's t distribution and its generalizations, Empirical Econ. 58, 1461 (2020).
  77. C. Brito, I. S. Aranson, and H. Chaté, Vortex glass and vortex liquid in oscillatory media, Phys. Rev. Lett. 90, 068301 (2003).
  78. P. D. Dixit, A maximum entropy thermodynamics of small systems, J. Chem. Phys. 138, 184111 (2013).
  79. L. Leon Chen and C. Beck, A superstatistical model of metastasis and cancer survival, Physica A 387, 3162 (2008).
  80. S. Jung and H. L. Swinney, Velocity difference statistics in turbulence, Phys. Rev. E 72, 026304 (2005).
  81. D. Xu and C. Beck, Transition from lognormal to χ2-superstatistics for financial time series, Physica A 453, 173 (2016).
  82. P. Jizba, J. Korbel, H. Lavička, M. Prokš, V. Svoboda, and C. Beck, Transitions between superstatistical regimes: Validity, breakdown and applications, Physica A 493, 29 (2018).
  83. J. W. Gibbs, Elementary Principles in Statistical Mechanics (C. Scribner's Sons, New York, 1902).
  84. R. Balescu, Transport Processes in Plasmas (North-Holland, Amsterdam, 1988).
  85. H. Fichtner, K. Scherer, M. Lazar, H. J. Fahr, and Z. Vörös, Entropy of plasmas described with regularized κ distributions, Phys. Rev. E 98, 053205 (2018).
  86. K. Scherer, H. Fichtner, and M. Lazar, Regularized κ-distributions with non-diverging moments, Europhys. Lett. 120, 50002 (2017).
  87. P. H. Yoon, M. Lazar, K. Scherer, H. Fichtner, and R. Schlickeiser, Modified κ-distribution of solar wind electrons and steady-state Langmuir turbulence, Astrophys. J. 868, 131 (2018).
  88. L. Wang et al., Quiet-time interplanetary ∼2−20 keV superhalo electrons at solar minimum, Astrophys. J. Lett. 753, L23 (2012).
  89. As a historical note, the Maxwell-Jüttner distribution (38) has long been accepted as the relativistic generalization of the Maxwell-Boltzmann distribution. However, its validity was questioned in the 1980s when Horwitz et al. [90, 91] introduced a “manifestly covariant” relativistic Boltzmann equation, whose stationary solution differs from Eq.  (38). Nonetheless, numerical simulations [92] offer compelling evidence in favor of the original Maxwell-Jüttner distribution over alternative formulations.
  90. L. P. Horwitz, W. C. Schieve, and C. Piron, Gibbs ensembles in relativistic classical and quantum mechanics, Ann. Phys. 137, 306 (1981).
  91. L. P. Horwitz, S. Shashoua, and W. C. Schieve, A manifestly covariant relativistic Boltzmann equation for the evolution of a system of events, Physica A 161, 300 (1989).
  92. D. Cubero, J. Casado-Pascual, J. Dunkel, P. Talkner, and P. Hänggi, Thermal equilibrium and statistical thermometers in special relativity, Phys. Rev. Lett. 99, 170601 (2007).
  93. L. Rezzola and O. Zanotti, Relativistic Hydrodynamics (Oxford University Press, Oxford, 2013).
  94. O. Naito, H. Yoshida, T. Hatae, A. Nagashima, and T. Matoba, Relativistic incoherent Thomson scattering spectrum for generalized Lorentzian distributions, Phys. Plasmas 3, 1474 (1996).
  95. F. Xiao, R. M. Thorne, and D. Summers, Instability of electromagnetic R-mode waves in a relativistic plasma, Phys. Plasmas 5, 2489 (1998).
  96. F. Xiao, Modelling energetic particles by a relativistic Kappa-loss-cone distribution function in plasmas, Plasma Phys. Controlled Fusion 48, 203 (2006).
  97. L. Han Thanh, K. Scherer, and H. Fichtner, Relativistic regularized Kappa distributions, Phys. Plasmas 29, 022901 (2022).
  98. G. Livadiotis, Modeling anisotropic Maxwell–Jüttner distributions: Derivation and properties, Ann. Geophys. 34, 1145 (2016).
  99. M. Kunik, S. Qamar, and G. Warnecke, Kinetic schemes for the relativistic gas dynamics, Numer. Math. 97, 159 (2004).
  100. J. M. Stewart, Non-Equilibrium Relativistic Kinetic Theory (Springer, Berlin, 1971).
  101. S. Groot, W. Leeuwen, C. van Weert, C. Deweert, and C. Weert, Relativistic Kinetic Theory: Principles and Applications (North-Holland Publishing Company, Göttingen, Germany, 1980).
  102. A. Jeffrey, Handbook of Mathematical Formulas and Integrals (Academic Press, San Diego, CA, 2004).
  103. K. Ourabah, Superstatistics from a dynamical perspective: Entropy and relaxation, Phys. Rev. E 109, 014127 (2024).
  104. D. Summers and R. M. Thorne, The modified plasma dispersion function, Phys. Fluids B 3, 1835 (1991).
  105. D. Summers and R. M. Thorne, A new tool for analyzing microinstabilities in space plasmas modeled by a generalized Lorentzian (Kappa) distribution, J. Geophys. Res. 97, 16827 (1992).
  106. L. I. Miroshnichenko et al., Relativistic nucleon and electron production in the 2003 October 28 solar event, J. Geophys. Res. 110, A09S08 (2005).
  107. F. Xiao, Q. Zhou, C. Li, and A. Cai, Modeling solar energetic particle by a relativistic Kappa-type distribution, Plasma Phys. Controlled Fusion 50, 062001 (2008).
  108. M. Schulz and L. J. Lanzerotti, Particle Diffusion in the Radiation Belts, Physics and Chemistry in Space (Springer, New York, 1974), Vol. 7.
  109. R. Bruno and V. Carbone, The Solar Wind as a Turbulence Laboratory, Living Rev. Solar Phys. 10, 2 (2013).
  110. G. Livadiotis, Kappa Distributions: Theory and Applications in Plasmas (Elsevier Science, New York, 2017).
  111. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products (Elsevier/Academic Press, Amsterdam, 2007), 7th ed.
  112. G. Gasper and M. Rahman, Basic Hypergeometric Series, Encyclopedia of Mathematics and its Applications (Cambridge University Press, Berlin, Germany, 2004), 2nd ed.

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