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Faculty of Mathematics and Physics, University of Ljubljana,

Finite-temperature dynamics of small correlated systems: anomalous properties for cuprates. P. Prelovšek, M. Zemlji č, I. Sega and J. Bon ča. Faculty of Mathematics and Physics, University of Ljubljana, J. Stefan Institute, Ljubljana, Slovenia. Sherbrooke, July 2005. Outline.

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Faculty of Mathematics and Physics, University of Ljubljana,

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  1. Finite-temperature dynamics of small correlated systems: anomalous properties for cuprates P. Prelovšek, M. Zemljič, I. Sega and J. Bonča Faculty of Mathematics and Physics, UniversityofLjubljana, J. Stefan Institute, Ljubljana, Slovenia Sherbrooke, July 2005

  2. Outline • Numerical method: Finite temperature Lanczos method (FTLM) • and microcanonical Lanczos method for small systems: • static and dynamical quantities: advantages and limitations • Examples of anomalous dynamical quantities (non-Fermi liquid –like) • in cuprates: calculations within the t-J model : • Optical conductivity and resistivity: intermediate doping – linear law, • low doping – MIR peak, resistivity saturation and kink at T* • Spin fluctuation spectra: (over)damping of the collective mode in • the normal state, ω/T scaling, NFL-FL crossover

  3. Cuprates: phase diagram quantum critical point, static stripes, crossover ?

  4. t – J model interplay : electron hopping + spin exchange single band model for strongly correlated electrons n.n. hopping projected fermionic operators: no double occupation of sites n.n.n. hopping finite-T Lanczos method (FTLM): J.Jaklič + PP T > Tfs finite size temperature

  5. Exact diagonalization of correlated electron systems: T>0 • Basis states: system with N sites • Heisenberg model: states • t – J model: states • Hubbard model: states • different symmetry sectors: A) Full diagonalization: T > 0 statics and dynamics operations memory and me

  6. Finite temperature Lanczos method FTLM = Lanczos basis + random sampling: P.P., J. Jaklič (1994) Lanczos basis Matrix elements: exactly with M=max (k,l)

  7. Static quantities at T > 0 High – temperature expansion – full sampling: calculated using Lanczos: exactly for k < M, approx. for k > M Ground state T = 0: FTLM gives correct T=0 result

  8. Dynamical quantities at T > 0 Short-t (high-ω), high-T expansion: full sampling exact and M steps started with normalized Random sampling: random >> 1

  9. Finite size temperature many body levels: 2D Heisenberg model 2D t-J model 2D t-J model: J=0.3 t optimum doping

  10. FTLM: advantages and limitations • Interpolation between the HT expansion and T=0 Lanczos calculation • No minus sign problem: can work for arbitrary electron filling and • dimension • works best for frustrated correlated systems: optimum doping • So far the leading method for T > 0 dynamical quantitiesin strong • correlation regime - competitors: QMC has minus sign + maximum • entropy problems, 1D DMRG: so far T=0 dynamics • T > 0 calculation controlled extrapolation to g.s. T=0 result • Easy to implement on the top of usual LM and very pedagogical • Limitations very similar to usual T=0 LM (needs storage of Lanczos • wf. and calculation of matrix elements): small systems N < 30 many static and dynamical properties within t-J and other models calculated, reasonable agreement with experimental results for cuprates

  11. Microcanonical Lanczos method Long, Prelovsek, El Shawish, Karadamoglou, Zotos (2004) thermodynamic sum can be replaced with a single microcanonical state in a large system MC state is generated with a modified Lanczos procedure Advantage: no Lanczos wavefunction need to be stored, requirement as for T = 0

  12. Example: anomalous diffusion in the integrable 1D t-V model insulating T=0 regime (anisotropic Heisenberg model) T >> 0: huge finite-size effect (~1/L) ! convergence to normal diffusion ?

  13. Resistivity and optical conductivity of cuprates Takagi et al (1992) Uchida et al (1991) resistivity saturation ρ ~ aT mid-IR peak at low doping pseudogap scale T* universal marginal FL-type conductivity normal FL:ρ ~ cT2 , σ(ω) Drude form

  14. Low doping: recent results Ando et al (01, 04) 1/mobility vs. doping Takenaka et al (02) Drude contribution at lower T<T* mid – IR peak at T>T*

  15. FTLM + boundary condition averaging Zemljic and Prelovsek, PRB (05) t-J model: N = 16 – 26 1 hole

  16. Intermediate - optimum doping t-J model: ch = 3/20 van der Marel et al (03) BSCCO reproduces linear law ρ ~ aT

  17. deviation from the universal law Origin of universality: assuming spectral function of the MFL form increasing function of ω !

  18. Low doping mid- IR peak for T < J: related to the onset of short-range AFM correlations position and origin of the peak given by hole bound by a spin-string resistivity saturation onset of coherent ‘nodal’ transport for T < T* N = 26, Nh = 1

  19. Comparison with experiments normalized resistivity: inverse mobility underdoped LSCO intermediate doping LSCO Ando et al. Takagi et al. • agreement with experiments satisfactory both at low and intermediate doping • no other degrees of freedom important for transport (coupling to phonons) ?

  20. Cuprates – normal state: anomalous spin dynamics Low doping: Zn-substituted YBCO: Kakurai et al. 1993 LSCO: Keimer et al. 91,92 inconsistent with normal Fermi liquid ~ normal FL: T-independent χ’’(q,ω)

  21. Spin fluctuations - memory function approach goal: overdamped spin fluctuations in normal state + resonance (collective) mode in SC state Spin susceptibility: memory function representation - Mori damping function ‘mode frequency’ ‘spin stiffness’ – smoothly T, q-dependent at q ~ Q fluctuation-dissipation relation Less T dependent,saturates at low T

  22. large damping: collective AFM mode overdamped Argument: decay into fermionic electron-hole excitations ~ Fermi liquid FTLM results for t-J model: N=20 sites J=0.3 t, T=0.15 t > Tfs ~ 0.1 t Nh=2, ch=0.1

  23. Normal state: ω/T scaling – T>TFL PRL (04) parameter cuprates: low doping Fermi scale ωFL ‘normalization’ function scaling function: ω/Tscaling for ω > ωFL Zn-substituted YBCO6.5 : Kakurai different energies

  24. Crossover FL: NFL – characteristic FL scale PRB(04) t-J model- FTLM N=18,20 ch < ch* ~ 0.15: non-Fermi liquid ch > ch* : Fermi liquid T=0 Lanczos FTLM NFL-FL crossover

  25. Re-analysis of NMR relaxation spin-spin relaxation + INS UD Balatsky, Bourges (99) Berthier et al 1996 OD UD + CQ from t-J model OD

  26. Summary • FTLM: T>0 static and dynamical quantities in strongly correlated systems • advantages for dynamical quantities and anomalous behaviour • t – J model good model for cuprates (in the normal state) • optical conductivity and resistivity: universal law at intermediate doping, • mid-IR peak, resisitivity saturation and coherent transport for T<T* at low • doping, quantitative agreement with experiments • spin dynamics: anomalous MFL-like at low doping, • crossover to normal FL dynamics at optimum doping • small systems enough to describe dynamics in correlated systems !

  27. AFM inverse correlation length κ Balatsky, Bourges (99) κ weakly T dependent and not small even at low doping κ not critical

  28. Inelastic neutron scattering: normal + resonant peak Doping dependence: Bourges 99: YBCO q - integrated

  29. Energy scale of spin fluctuations = FL scale characteristic energy scale of SF: T < TFL ~ ωFL : FL behavior T > TFL ~ ωFL: scaling phenomenological theory: Kondo temperature ? simulates varying doping

  30. Local spin dynamics J.Jaklič, PP., PRL (1995) ‘marginal’ spin dynamics

  31. Hubbard model:constrained path QMC

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