Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Spatial form factor for point patterns: Poisson point process, Coulomb gas, and vortex statistics

Matteo Massaro1,* and Adolfo del Campo1,2

  • *Contact author: matteo.massaro@uni.lu

Phys. Rev. Research 7, 023107 – Published 1 May, 2025

DOI: https://doi.org/10.1103/PhysRevResearch.7.023107

Abstract

Point processes have broad applications in science and engineering. In physics, their use ranges from quantum chaos to statistical mechanics of many-particle systems. We introduce a spatial form factor (SFF) for the characterization of spatial patterns associated with point processes. Specifically, the SFF is defined in terms of the averaged even Fourier transform of the distance between any pair of points. We focus on homogeneous Poisson point processes and derive the explicit expression for the SFF in d-spatial dimensions. The SFF can then be found in terms of the even Fourier transform of the probability distribution for the distance between two independent and uniformly distributed random points on a d-dimensional ball, arising in the ball line picking problem. The relation between the SFF and the set of n-order spacing distributions is further established. The SFF is analyzed in detail for d=1,2,3 and in the infinite-dimensional case, as well as for the d-dimensional Coulomb gas, as an interacting point process. As a physical application, we describe the spontaneous vortex formation during Bose-Einstein condensation in finite time recently studied in ultracold atom experiments and use the SFF to reveal the stochastic geometry of the resulting vortex patterns. In closing, we also introduce a generalization of the SFF applicable to arbitrary sets in a metric space.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (67)

  1. S. N. Chiu, D. Stoyan, W. S. Kendall, and J. Mecke, Stochastic Geometry and Its Applications, Wiley Series in Probability and Statistics (Wiley, 2013).
  2. S. Torquato, Hyperuniform states of matter, Phys. Rep. 745, 1 (2018).
  3. J. Hansen and I. McDonald, Theory of Simple Liquids: With Applications to Soft Matter, 4th ed. (Academic Press, 2013).
  4. M. P. Allen and D. J. Tildesley, Computer Simulation of Liquids (Oxford University Press, 2017).
  5. T. Guhr, A. MüllerGroeling, and H. A. Weidenmüller, Random-matrix theories in quantum physics: common concepts, Phys. Rep. 299, 189 (1998).
  6. F. Haake, Quantum Signatures of Chaos (Springer, Berlin, 2010).
  7. O. Bohigas, M. J. Giannoni, and C. Schmit, Characterization of chaotic quantum spectra and universality of level fluctuation laws, Phys. Rev. Lett. 52, 1 (1984).
  8. L. Leviandier, M. Lombardi, R. Jost, and J. P. Pique, Fourier transform: A tool to measure statistical level properties in very complex spectra, Phys. Rev. Lett. 56, 2449 (1986).
  9. J. Wilkie and P. Brumer, Time-dependent manifestations of quantum chaos, Phys. Rev. Lett. 67, 1185 (1991).
  10. Y. Alhassid and N. Whelan, Onset of chaos and its signature in the spectral autocorrelation function, Phys. Rev. Lett. 70, 572 (1993).
  11. J.-Z. Ma, Correlation hole of survival probability and level statistics, J. Phys. Soc. Jpn. 64, 4059 (1995).
  12. J. Sakhr and J. M. Nieminen, Wigner surmises and the two-dimensional homogeneous poisson point process, Phys. Rev. E 73, 047202 (2006).
  13. N. Manton and P. Sutcliffe, Topological Solitons, Cambridge Monographs on Mathematical Physics (Cambridge University Press, 2004).
  14. T. W. B. Kibble, Topology of cosmic domains and strings, J. Phys. A: Math. Gen. 9, 1387 (1976).
  15. T. W. B. Kibble, Some implications of a cosmological phase transition, Phys. Rep. 67, 183 (1980).
  16. W. H. Zurek, Cosmological experiments in superfluid helium? Nature (London) 317, 505 (1985).
  17. W. H. Zurek, Cosmological experiments in condensed matter systems, Phys. Rep. 276, 177 (1996).
  18. A. del Campo and W. H. Zurek, Universality of phase transition dynamics: Topological defects from symmetry breaking, Int. J. Mod. Phys. A 29, 1430018 (2014).
  19. P. M. Chesler, A. M. García-García, and H. Liu, Defect formation beyond Kibble-Zurek mechanism and holography, Phys. Rev. X 5, 021015 (2015).
  20. H.-B. Zeng, C.-Y. Xia, and A. del Campo, Universal breakdown of Kibble-Zurek scaling in fast quenches across a phase transition, Phys. Rev. Lett. 130, 060402 (2023).
  21. C.-Y. Xia, H.-B. Zeng, A. Grabarits, and A. del Campo, Kibble-Zurek mechanism and beyond: Lessons from a holographic superfluid disk arXiv:2406.09433.
  22. T. Vachaspati, Kinks and Domain Walls: An Introduction to Classical and Quantum Solitons (Cambridge University Press, 2023).
  23. P. Laguna and W. H. Zurek, Density of kinks after a quench: When symmetry breaks, how big are the pieces? Phys. Rev. Lett. 78, 2519 (1997).
  24. A. del Campo, G. De Chiara, G. Morigi, M. B. Plenio, and A. Retzker, Structural defects in ion chains by quenching the external potential: The inhomogeneous Kibble-Zurek mechanism, Phys. Rev. Lett. 105, 075701 (2010).
  25. F. J. Gómez-Ruiz, J. J. Mayo, and A. del Campo, Full counting statistics of topological defects after crossing a phase transition, Phys. Rev. Lett. 124, 240602 (2020).
  26. F. Suzuki and W. H. Zurek, Topological defect formation in a phase transition with tunable order, Phys. Rev. Lett. 132, 241601 (2024).
  27. C. N. Weiler, T. W. Neely, D. R. Scherer, A. S. Bradley, M. J. Davis, and B. P. Anderson, Spontaneous vortices in the formation of Bose-Einstein condensates, Nature (London) 455, 948 (2008).
  28. N. Navon, A. L. Gaunt, R. P. Smith, and Z. Hadzibabic, Critical dynamics of spontaneous symmetry breaking in a homogeneous Bose gas, Science 347, 167 (2015).
  29. J. Goo, Y. Lim, and Y. Shin, Defect saturation in a rapidly quenched Bose gas, Phys. Rev. Lett. 127, 115701 (2021).
  30. J. Goo, Y. Lee, Y. Lim, D. Bae, T. Rabga, and Y. Shin, Universal early coarsening of quenched Bose gases, Phys. Rev. Lett. 128, 135701 (2022).
  31. A. del Campo, F. J. Gómez-Ruiz, Z.-H. Li, C.-Y. Xia, H.-B. Zeng, and H.-Q. Zhang, Universal statistics of vortices in a newborn holographic superconductor: Beyond the Kibble-Zurek mechanism, J. High Energy Phys. 06 (2021) 061.
  32. B. Ko, J. W. Park, and Y. Shin, Kibble-Zurek universality in a strongly interacting Fermi superfluid, Nat. Phys. 15, 1227 (2019).
  33. K. Lee, S. Kim, T. Kim, and Y. il Shin, Observation of universal Kibble-Zurek scaling in an atomic Fermi superfluid, arXiv:2310.05437.
  34. A. del Campo, F. J. Gómez-Ruiz, and H.-Q. Zhang, Locality of spontaneous symmetry breaking and universal spacing distribution of topological defects formed across a phase transition, Phys. Rev. B 106, L140101 (2022).
  35. M. Thudiyangal and A. del Campo, Universal vortex statistics and stochastic geometry of Bose-Einstein condensation, Phys. Rev. Res. 6, 033152 (2024).
  36. M. N. M. van Lieshout, Theory of Spatial Statistics: A Concise Introduction (Chapman and Hall/CRC, 2019).
  37. M. Mehta, Random Matrices (Academic Press, 1991).
  38. J. S. Cotler, G. Gur-Ari, M. Hanada, J. Polchinski, P. Saad, S. H. Shenker, D. Stanford, A. Streicher, and M. Tezuka, Black holes and random matrices, J. High Energy Phys. 05 (2017) 118.
  39. A. del Campo, J. Molina-Vilaplana, and J. Sonner, Scrambling the spectral form factor: Unitarity constraints and exact results, Phys. Rev. D 95, 126008 (2017).
  40. P. Martinez-Azcona, R. Shir, and A. Chenu, Decomposing the spectral form factor, Phys. Rev. B 111, 165108 (2025).
  41. R. Penrose, Pentaplexity: A class of non-periodic tilings of the plane, Math. Intell. 2, 32 (1979).
  42. B. Grünbaum and G. Shephard, Tilings and Patterns, Dover Books on Mathematics Series (Dover Publications, Incorporated, 2013).
  43. M. Kendall and P. Moran, Geometrical Probability, Griffin's Statistical Monographs (Hafner Publishing Company, 1963).
  44. L. Santaló, Integral Geometry and Geometric Probability, Cambridge Mathematical Library (Beijing World Publishing Corporation, 2004).
  45. I. Gradshteyn, A. Jeffrey, I. Ryzhik, and I. Ryzhik, Table of Integrals, Series, and Products (Academic Press, 1996).
  46. DLMF, NIST Digital Library of Mathematical Functions, edited by f. W. J. Olver, A. B. Olde Daalhuis, D. W. Lozier, B. I. Schneider, R. F. Boisvert, C. W. Clark, B. R. Miller, B. V. Saunders, H. S. Cohl, and M. A. McClain, https://dlmf.nist.gov/, Release 1.2.2 (accessed Sept. 15, 2024).
  47. P. Forrester, Log-Gases and Random Matrices (LMS-34), London Mathematical Society Monographs (Princeton University Press, 2010).
  48. T. J. I. Bromwich, An Introduction to the Theory of Infinite Series (Macmillan and Company, 1908).
  49. W. Feller, An Introduction to Probability Theory and Its Applications, Wiley Series in Probability and Statistics, Vol. 2 (Wiley, 1991), p. 514.
  50. S. Serfaty, Systems of points with Coulomb interactions, EMS Newsletter 110, 16 (2018).
  51. A. del Campo, Exact ground states of quantum many-body systems under confinement, Phys. Rev. Res. 2, 043114 (2020).
  52. M. Beau, S. M. Pittman, G. E. Astrakharchik, and A. del Campo, Exactly solvable system of one-dimensional trapped bosons with short- and long-range interactions, Phys. Rev. Lett. 125, 220602 (2020).
  53. P. Le Doussal, Ranked diffusion, delta Bose gas, and Burgers equation, Phys. Rev. E 105, L012103 (2022).
  54. M. Kardar, Statistical Physics of Particles (Cambridge University Press, 2007).
  55. C. W. Gardiner and M. J. Davis, The stochastic Gross–Pitaevskii equation: II, J. Phys. B: At. Mol. Opt. Phys. 36, 4731 (2003).
  56. P. B. Blakie, A. S. Bradley, M. J. Davis, R. J. Ballagh, and C. W. Gardiner, Dynamics and statistical mechanics of ultra-cold Bose gases using c-field techniques, Adv. Phys. 57, 363 (2008).
  57. P. B. Blakie, Numerical method for evolving the projected Gross-Pitaevskii equation, Phys. Rev. E 78, 026704 (2008).
  58. A. S. Bradley, S. J. Rooney, and R. G. McDonald, Low-dimensional stochastic projected Gross-Pitaevskii equation, Phys. Rev. A 92, 033631 (2015).
  59. A. Mathai, An Introduction to Geometrical Probability: Distributional Aspects with Applications, Statistical distributions and models with applications (Taylor & Francis, 1999).
  60. M. Kim, T. Rabga, Y. Lee, J. Goo, D. Bae, and Y. Shin, Suppression of spontaneous defect formation in inhomogeneous Bose gases, Phys. Rev. A 106, L061301 (2022).
  61. W. H. Zurek, Causality in condensates: Gray solitons as relics of BEC formation, Phys. Rev. Lett. 102, 105702 (2009).
  62. A. del Campo, A. Retzker, and M. B. Plenio, The inhomogeneous Kibble-Zurek mechanism: Vortex nucleation during Bose-Einstein condensation, New J. Phys. 13, 083022 (2011).
  63. A. del Campo, T. W. B. Kibble, and W. H. Zurek, Causality and non-equilibrium second-order phase transitions in inhomogeneous systems, J. Phys.: Condens. Matter 25, 404210 (2013).
  64. D. Burago, I. Burago, and S. Ivanov, A Course in Metric Geometry, CRM Proceedings and Lecture Notes (American Mathematical Society, 2001).
  65. T. Cover and J. Thomas, Elements of Information Theory (Wiley, 2012).
  66. S. Amari, Information Geometry and Its Applications, Applied Mathematical Sciences (Springer Japan, 2016).
  67. M. Hayashi, Quantum Information: An Introduction (Springer, Berlin, 2006).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation