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Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the Toward the real time dynamics of periodically driven holographic superconductor Hongbao Zhang Vrije Universiteit


  1. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the Toward the real time dynamics of periodically driven holographic superconductor Hongbao Zhang Vrije Universiteit Brussel and International Solvay Institutes Based mainly on arXiv:1305.1600[JHEP07(2013)030] with: Wei-Jia Li (MIT) Yu Tian (UCAS) 14 Nov 2013 CCTP, University of Crete, Heraklion Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  2. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the 1 Introduction and motivation 2 Holographic model of superconductors 3 Numerics for differential equations 4 Numerical results for the real time dynamics 5 Low lying QNMs in the time averaged approximation 6 Conclusion and outlook Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  3. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the 1 Introduction and motivation 2 Holographic model of superconductors 3 Numerics for differential equations 4 Numerical results for the real time dynamics 5 Low lying QNMs in the time averaged approximation 6 Conclusion and outlook Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  4. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the • Q: Why AdS/CFT? • A: It is a machine, mapping a hard problem to a easy one. Figure: AdS/CFT as a simplifying machine Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  5. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the • Q: Why AdS/CFT in the dynamical setting? • A: Non-equilibrium phenomenon is ubiquitous around us. In particular, various non-equilibrium behaviors can now be managed in a controllable way. Figure: Two prestigious examples: Cold atoms trapped in optical lattices and quark gluon plasma produced in LHC Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  6. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the • Q: How to implement the boundary non-equilibrium physics by the bulk dynamics? • A: It is better to work in the infalling Eddington coordinates. • Computing time is obviously saved by the causality manifest. • Numerical code is simplified by the 1 st differential equations. Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  7. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the • Degree of difficulty for the numerical calculation • Within the probe limit. • To the regime of numerical relativity. • Possibilities for the holographic setup • Non-equilibrium state as I.D. with source free B.C.. • Equilibrium state as I.D. with B.C. modeling various protocols such as quantum quench and periodic driving. Figure: The holographic machine is something like a black box. Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  8. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the Why our work? • Compared to [Bao, Dong, Silverstein, and Torroba, arXiv:1104.4098] . • Driven by the monochromatically varying chemical potential vs. driven by a monochromatically varying electric field. • Homogeneous and isotropic vs. homogeneous and anisotropic. • Only in the large frequency limit vs. at the various frequencies. • Only the final would-be steady state vs. the real time dynamics towards the final state as well as the linear perturbation of the final steady state. • Compared to [Bhaseen, Gauntlett, Simons, Sonner, and Wiseman, arXiv:1207.4194] . • Quantum quench vs. periodic driving. • Inclusion of back reaction vs. in the probe limit. • Perturbed by the source of the scalar field vs. irradiated by the alternating electric field. • Homogeneous and isotropic vs. homogeneous and anisotropic. • One dimensional dynamical phase diagram vs. two dimensional dynamical phase diagram. • No time averaged vs. time averaged. Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  9. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the 1 Introduction and motivation 2 Holographic model of superconductors 3 Numerics for differential equations 4 Numerical results for the real time dynamics 5 Low lying QNMs in the time averaged approximation 6 Conclusion and outlook Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  10. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the • Action of model [Hartnoll, Herzog, and Horowitz,arXiv:0803.3295,0810.6513] d 4 x √− g [ R + 6 L 2 + 1 q 2 ( − 1 � 4 F ab F ab −| D Ψ | 2 − m 2 | Ψ | 2 )] . S = M (1) • Background metric ds 2 = L 2 z 2 [ − f ( z ) dt 2 − 2 dtdz + dx 2 + dy 2 ] . (2) • Heat bath temperature 3 T = . (3) 4 πz h • Asymptotical behavior at AdS boundary A ν = a ν + b ν z + o ( z ) , (4) Ψ = 1 L [ φz + z 2 ϕ + o ( z 2 )] . (5) Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  11. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the AdS/CFT dictionary √− g � J ν � = δS ren q 2 F zν , = lim (6) δa ν z → 0 z → 0 [ z √− g Lq 2 ( D z Ψ) ∗ − z √− γ � O � = δS ren L 2 q 2 Ψ ∗ ] = lim δφ = 1 q 2 ( ϕ ∗ − ˙ φ ∗ − ia t φ ∗ ) , (7) where √− γ | Ψ | 2 1 � S ren = S − (8) Lq 2 B is the renormalized action by holography. Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  12. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the Phase transition to a superconductor 0.6 0.5 0.4 � O � Ρ 0.3 0.2 0.1 0.0 0 2 4 6 8 10 12 14 Ρ Figure: The condensate as a function of charge density with the critical charge density ρ c = 4 . 0637 . Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  13. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the 1 Introduction and motivation 2 Holographic model of superconductors 3 Numerics for differential equations 4 Numerical results for the real time dynamics 5 Low lying QNMs in the time averaged approximation 6 Conclusion and outlook Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  14. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the Pseudo-spectral method By expanding the solution in terms of some sort of spectral functions, plugging it into eoms, and validating eoms at some grid points, the differential equations are replaced by a set of algebraic equations. • The resultant solution thus has an analytical expression. • The numerical error goes like ∝ e − N with N the number of grid points. complemented by two caveats • The resultant algebraic equations are generically non-linear, so here comes Newton-Raphson method. • It turns out to be extremely time consuming to apply it in the time direction, if not impossible. Instead the finite difference methods such as Runge-Kuta or Crank-Nicolson method are often adopted. Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  15. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the 1 Introduction and motivation 2 Holographic model of superconductors 3 Numerics for differential equations 4 Numerical results for the real time dynamics 5 Low lying QNMs in the time averaged approximation 6 Conclusion and outlook Hongbao Zhang Toward the real time dynamics of periodically driven holographic

  16. Introduction and motivation Holographic model of superconductors Numerics for differential equations Numerical results for the 0.4120 Ω � Ρ � 0.1 0.4115 Ω � Ρ � 1 0.4110 Ω � Ρ � 10 � O � t � � 0.4105 Ρ 0.4100 0.4095 0.4090 0 20 40 60 80 100 t Ρ 0.4 Ω � Ρ � 0.1 Ω � Ρ � 1 0.3 Ω � Ρ � 10 � O � t � � 0.2 Ρ 0.1 0.0 0 20 40 60 80 100 t Ρ Figure: The real time dynamics of condensate for the charge density E ρ = 5 , where the upper panel is for ω √ ρ = 0 . 1 and the lower panel is for E ω √ ρ = 5 . Hongbao Zhang Toward the real time dynamics of periodically driven holographic

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