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  • Open Access

Area scaling of dynamical degrees of freedom in regularized scalar field theory

Oliver Friedrich1,2, Kristina Giesel3, and Varun Kushwaha1,*

  • *Contact author: varun.kushwaha@lmu.de

Phys. Rev. D 114, 045020 – Published 24 August, 2026

DOI: https://doi.org/10.1103/tjc4-221z

Abstract

How many canonical degrees of freedom are dynamically needed to reproduce the Hamiltonian evolution of a regulated field theory? We address this question for a UV/IR-regularized classical scalar field by identifying the minimal symplectic dimension required to reproduce a single trajectory by an autonomous Hamiltonian system. Using symplectic model order reduction as a structure-preserving diagnostic, we show that, for the free scalar field, this dimension is controlled not by the volume-extensive number of regulated field modes but by the smaller number of distinct normal-mode frequencies below the ultraviolet cutoff. In a flat cubic box, this gives an area-type scaling with the size of the region, up to slowly varying corrections. For geodesic balls in maximally symmetric curved spaces, positive curvature produces a superarea enhancement that remains subextensive, while negative curvature suppresses the scaling, with the flat result recovered smoothly in the small-curvature limit. Numerical experiments indicate that the same frequency-based mechanism persists in weakly interacting λϕ4 theory on quasi-integrable timescales. Beyond the counting result, the reduced dynamics has a characteristic algebraic structure: it decomposes into independent oscillator blocks, while reconstructed field modes are linear combinations of these blocks and have Poisson brackets governed by a projector rather than the identity. In this precise classical sense, overlapping degrees of freedom arise dynamically, without modifying the canonical structure by hand. The results provide a controlled setting in which area-type dynamical scaling and overlap structures can be studied before quantization and help separate ordinary Hamiltonian compression effects from genuinely gravitational mechanisms.

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References (48)

  1. T. Padmanabhan, Gravitation: Foundations and Frontiers (Cambridge University Press, Cambridge, England, 2010).
  2. Michael Edward Peskin and Daniel V. Schroeder, An Introduction to Quantum Field Theory (Addison-Wesley, Reading, MA, 1995).
  3. Gerard ’t Hooft, Dimensional reduction in quantum gravity, in Salamfestschrift: A Collection of Talks from the Conference on Highlights of Particle and Condensed Matter Physics (World Scientific, Singapore, 1994), pp. 284–296.
  4. Leonard Susskind, The world as a hologram, J. Math. Phys. (N.Y.) 36, 6377 (1995).
  5. Raphael Bousso, The holographic principle, Rev. Mod. Phys. 74, 825 (2002).
  6. Raphael Bousso, A covariant entropy conjecture, J. High Energy Phys. 07 (1999) 004.
  7. Raphael Bousso, Holography in general space-times, J. High Energy Phys. 06 (1999) 028.
  8. Raphael Bousso, Horacio Casini, Zachary Fisher, and Juan Maldacena, Proof of a quantum Bousso bound, Phys. Rev. D 90, 044002 (2014).
  9. W. Fischler and L. Susskind, Holography and cosmology, arXiv:hep-th/9806039.
  10. Christopher Akers and Geoff Penington, Quantum minimal surfaces from quantum error correction, SciPost Phys. 12, 157 (2022).
  11. Chris Akers, Netta Engelhardt, Daniel Harlow, Geoff Penington, and Shreya Vardhan, The black hole interior from non-isometric codes and complexity, J. High Energy Phys. 06 (2024) 155.
  12. Chris Akers and Geoff Penington, Leading order corrections to the quantum extremal surface prescription, J. High Energy Phys. 04 (2021) 062.
  13. ChunJun Cao, Wissam Chemissany, Alexander Jahn, and Zoltán Zimborás, Overlapping qubits from non-isometric maps and de Sitter tensor networks, Nat. Commun. 16, 163 (2025).
  14. Oliver Friedrich, ChunJun Cao, Sean M. Carroll, Gong Cheng, and Ashmeet Singh, Holographic phenomenology via overlapping degrees of freedom, Classical Quantum Gravity 41, 195003 (2024).
  15. Liqian Peng and Kamran Mohseni, Symplectic model reduction of hamiltonian systems, arXiv:1407.6118.
  16. J. S. Hesthaven, C. Pagliantini, and N. Ripamonti, Structure-preserving model order reduction of Hamiltonian systems, arXiv:2109.12367.
  17. Patrick Buchfink, Ashish Bhatt, and Bernard Haasdonk, Symplectic model order reduction with non-orthonormal bases, arXiv:1902.10523.
  18. Patrick Buchfink, Silke Glas, and Bernard Haasdonk, Symplectic model reduction of Hamiltonian systems on nonlinear manifolds, arXiv:2112.10815.
  19. Patrick Buchfink, Silke Glas, Bernard Haasdonk, and Benjamin Unger, Model reduction on manifolds: A differential geometric framework, arXiv:2312.01963.
  20. Jerrold Marsden and Tudor Ratiu, Introduction to Mechanics and Symmetry (Springer-Verlag, New York, 1999).
  21. Ralph H. Abraham, Jerrold E. Marsden, Tudor S. Ratiu, and Richard Cushman, Foundations of Mechanics (Benjamin/Cummings, Reading, MA, 1978).
  22. V. I. Arnold, Mathematical Methods of Classical Mechanics (Springer, New York, 1989), Vol. 60.
  23. Victor Ivrii, 100 years of Weyl’s law, Bull. Math. Sci. 6, 379 (2016).
  24. Nesmith C. Ankeny, Sums of three squares, Proc. Am. Math. Soc. 8, 316 (1957).
  25. Paul Pollack and Peter Schorn, Dirichlet’s proof of the three-square theorem: An algorithmic perspective, Math. Comput. 88, 1007 (2019).
  26. Arthur Kosowsky, Efficient computation of hyperspherical Bessel functions, arXiv:astro-ph/9805173.
  27. Thomas Tram, Computation of hyperspherical bessel functions, Commun. Comput. Phys. 22, 852 (2017).
  28. Carl M. Bender and Steven A. Orszag, Advanced Mathematical Methods for Scientists and Engineers I (Springer, New York, 1999).
  29. Isaac Chavel, Eigenvalues in Riemannian Geometry, Pure and Applied Mathematics (Academic Press, Orlando, FL, 1984).
  30. Lena Baumann, Lukas Einkemmer, Christian Klingenberg, and Jonas Kusch, Energy stable and conservative dynamical low-rank approximation for the Su-Olson problem, SIAM J. Sci. Comput. 46, B137 (2024).
  31. Yoshihito Kazashi, Fabio Nobile, and Fabio Zoccolan, Dynamical low-rank approximation for stochastic differential equations, Math. Comput. 94, 1335 (2025).
  32. Sam Greydanus, Misko Dzamba, and Jason Yosinski, Hamiltonian neural networks, arXiv:1906.01563.
  33. Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, and George Em Karniadakis, Sympnets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems, Neural Netw. 132, 166 (2020).
  34. Luca Bombelli, Rabinder K. Koul, Joohan Lee, and Rafael D. Sorkin, Quantum source of entropy for black holes, Phys. Rev. D 34, 373 (1986).
  35. Mark Srednicki, Entropy and area, Phys. Rev. Lett. 71, 666 (1993).
  36. Jens Eisert, Marcus Cramer, and Martin B. Plenio, Area laws for the entanglement entropy, Rev. Mod. Phys. 82, 277 (2010).
  37. Horacio Casini, Marina Huerta, and José Alejandro Rosabal, Remarks on entanglement entropy for gauge fields, Phys. Rev. D 89, 085012 (2014).
  38. Yitzhak Katznelson, An Introduction to Harmonic Analysis (Cambridge University Press, Cambridge, England, 2004), ISBN [Amazon][WorldCat].
  39. Rudolf Haag, Local Quantum Physics: Fields, Particles, Algebras (Springer, New York, 1992).
  40. Robert M. Wald, Quantum field theory in curved spacetime, arXiv:gr-qc/9509057.
  41. Gerald B. Folland, Harmonic Analysis in Phase Space. (AM-122) (Princeton University Press, Princeton, NJ, 1989).
  42. Brian C. Hall, Quantum Theory for Mathematicians, Graduate Texts in Mathematics (Springer, New York, 2013).
  43. Charles R. Harris et al., Array programming with numpy, Nature (London) 585, 357 (2020).
  44. Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, and Crissman Loomis, cupy: A numpy-compatible library for NVIDIA GPU calculations (2017), https://learningsys.org/nips17/assets/papers/paper_16.pdf.
  45. J. D. Hunter, matplotlib: A 2D graphics environment, Comput. Sci. Eng. 9, 90 (2007).
  46. V. Kushwaha, Code and data for ‘Area scaling of dynamical degrees of freedom in regularized scalar field theory’, GitHub repository, https://github.com/ScaleOfVarun/area-scaling-dynamical-dofs/tree/8b23e44b2b62669f7da34c6ad0c96ac8752aeb09
  47. Bernard Haasdonk, Reduced basis methods for parametrized PDEs—A tutorial introduction for stationary and instationary problems, in Model Reduction and Approximation: Theory and Algorithms (Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017), pp. 65–136.
  48. Babak Maboudi Afkham and Jan S. Hesthaven, Structure preserving model reduction of parametric Hamiltonian systems, SIAM J. Sci. Comput. 39, A2616 (2017).

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