Swetamber Das

Dynamical Systems theorist @ SRM-AP


Curriculum vitae


Assistant Professor of Physics

SRM University, AP (India)

Mangalagiri - Mandal,
Neeru Konda,
Amaravati - 522502,
Andhra Pradesh (India).



Speed limits on deterministic chaos and dissipation


Journal article


Swetamber Das, Jason R. Green
Phys. Rev. Res., vol. 5(1), American Physical Society, 2023 Feb, pp. L012016


Published version arXiv
Cite

Cite

APA   Click to copy
Das, S., & Green, J. R. (2023). Speed limits on deterministic chaos and dissipation. Phys. Rev. Res., 5(1), L012016. https://doi.org/10.1103/PhysRevResearch.5.L012016


Chicago/Turabian   Click to copy
Das, Swetamber, and Jason R. Green. “Speed Limits on Deterministic Chaos and Dissipation.” Phys. Rev. Res. 5, no. 1 (February 2023): L012016.


MLA   Click to copy
Das, Swetamber, and Jason R. Green. “Speed Limits on Deterministic Chaos and Dissipation.” Phys. Rev. Res., vol. 5, no. 1, American Physical Society, Feb. 2023, p. L012016, doi:10.1103/PhysRevResearch.5.L012016.


BibTeX   Click to copy

@article{das2023a,
  title = {Speed limits on deterministic chaos and dissipation},
  year = {2023},
  month = feb,
  issue = {1},
  journal = {Phys. Rev. Res.},
  pages = {L012016},
  publisher = {American Physical Society},
  volume = {5},
  doi = {10.1103/PhysRevResearch.5.L012016},
  author = {Das, Swetamber and Green, Jason R.},
  month_numeric = {2}
}

Abstract

Uncertainty in the initial conditions of dynamical systems can cause exponentially fast divergence of trajectories, a signature of deterministic chaos, or be suppressed by the dissipation of energy. Here, we derive a classical uncertainty relation that sets a speed limit on the rates of local observables underlying these behaviors. For systems with a time-invariant stability matrix, the speed limit we derive simplifies to a classical analog of the Mandelstam-Tamm versions of the time-energy uncertainty relation. These classical bounds are set by fluctuations in the local stability of state space. To measure these fluctuations, we introduce a definition of the Fisher information in terms of Lyapunov vectors in tangent space, analogous to the quantum Fisher information defined in terms of wave vectors in Hilbert space. This information sets an upper bound on the speed at which classical dynamical systems and their observables, instantaneous Lyapunov exponents and dissipation, evolve. This speed limit applies to systems that are open or closed, conservative or dissipative, actively driven or passively evolving, and directly connects the geometries of phase space and information.

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