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Nonlinear Fluctuating Hydrodynamics for the Classical XXZ Spin Chain

  • Avijit DasEmail author
  • Kedar Damle
  • Abhishek Dhar
  • David A. Huse
  • Manas Kulkarni
  • Christian B. Mendl
  • Herbert Spohn
Article
  • 44 Downloads

Abstract

Using the framework of nonlinear fluctuating hydrodynamics (NFH), we examine equilibrium spatio-temporal correlations in classical ferromagnetic spin chains with nearest neighbor interactions. In particular, we consider the classical XXZ-Heisenberg spin chain (also known as Lattice Landau–Lifshitz or LLL model) evolving deterministically and chaotically via Hamiltonian dynamics, for which energy and z-magnetization are the only locally conserved fields. For the easy-plane case, this system has a low-temperature regime in which the difference between neighboring spin’s angular orientations in the XY plane is an almost conserved field. According to the predictions of NFH, the dynamic correlations in this regime exhibit a heat peak and propagating sound peaks, all with anomalous broadening. We present a detailed molecular dynamics test of these predictions and find a reasonably accurate verification. We find that, in a suitable intermediate temperature regime, the system shows two sound peaks with Kardar-Parisi-Zhang (KPZ) scaling and a heat peak where the expected anomalous broadening is less clear. In high temperature regimes of both easy plane and easy axis case of LLL, our numerics show clear diffusive spin and energy peaks and absence of any sound modes, as one would expect. We also simulate an integrable version of the XXZ-model, for which the ballistic component instead moves with a broad range of speeds rather than being concentrated in narrower peaks around the sound speed.

Keywords

Hydrodynamics Dynamical correlations Heisenberg spin chain 

Notes

Acknowledgements

AD would like to thank the support from the grant EDNHS ANR-14-CE25-0011 of the French National Research Agency (ANR) and from Indo-French Centre for the Promotion of Advanced Research (IFCPAR) under project 5604-2. MK gratefully acknowledges the Ramanujan Fellowship SB/S2/RJN-114/2016 from the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India. MK also acknowledges support the Early Career Research Award, ECR/2018/002085 from the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India. MK would like to acknowledge support from the project 6004-1 of the Indo-French Centre for the Promotion of Advanced Research (IFCPAR). KD acknowledges the ICTS-TIFR program “Nonequilibrium Statistical Physics 2015” (NESP2015) which interested him in the questions addressed here, and the generous hospitality of ISSP Tokyo during the completion of this work. DAH was supported in part by (USA) DOE grant DE-SC0016244. The numerical simulations were done on Mowgli, Mario and Tetris clusters of ICTS-TIFR and Gaggle and Pride clusters of DTP-TIFR.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.International Centre for Theoretical SciencesTata Institute of Fundamental ResearchBengaluruIndia
  2. 2.Tata Institute of Fundamental ResearchMumbaiIndia
  3. 3.Department of PhysicsPrinceton UniversityPrincetonUSA
  4. 4.Institute of Scientific ComputingTechnische Universität DresdenDresdenGermany
  5. 5.Department of Informatics and Institute for Advanced StudyTechnische Universität MünchenGarchingGermany
  6. 6.Zentrum Mathematik and Physik DepartmentTechnische Universität MünchenGarchingGermany

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