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Let us start by considering the Heisenberg model, i.e. the XXZ model in Eq. (2.1) with isotropic coupling∆ = 1, of spins 1/2 under a magnetic field, applied along the z direction. A pictorial representation of the phase diagram as a function of his easily derived from Fig. 2.1 and given in Fig. 4.1. At low magnetic field the ground state of the system is a gapless TLL, whereas above the critical magnetic field (hc = 2J) a gapped ferromagnetic phase develops. In order to explore the different phases and the quantum critical point we focused on the fieldsh= 0and h=J in the gapless phase,h=hc = 2J at the quantum critical point andh= 5J in the gapped phase. In Fig. (4.2) the results for the1/T1relaxation rate of theS+−

correlations are shown at the magnetic field valuesh = 0,h = J in the gapless phase, andh= 2Jat the quantum critical point.

The behavior of the relaxation time at zero magnetic field has been investigated previously both by analytical [67, 68] and numerical methods such as the quantum Monte-Carlo using the maximum entropy method in order to continue to the real time axis [69, 70] and tDMRG methods [71]. In the asymptotic low-temperature limit one obtains [64, 65]1/T1 =constif logarithmic correctionsln1/2(1/(kBT))

4.3 Results for1/T1as a function of the temperature

Figure 4.1: Phase diagram for the Heisenberg model (∆ = 1) as a function of the magnetic fieldh, as derived from Fig. 2.1. For low magnetic field, the ground state is a TLL and the phase is gapless. In contrast, above the critical magnetic fieldhc = 2J a ferromagnetic phase, which exhibits a gap in its excitation spectrum, arises. Picture taken from Ref. [29].

are neglected. Since the behavior ath= 0has been studied in detail in Refs. [69,71], we here show theh= 0case for(1/T1)+−mainly for comparison. At temperatures kBT /J & 0.5 an almost linear increase of the relaxation time with temperature can be seen. At low temperature(1/T1)+−shows an almost constant behavior. At temperatureskBT /J .0.2it even increases again while lowering the temperature.

This behavior is consistent with the logarithmic corrections and has been analyzed in [69]. The rise at larger temperatures has been treated in [71] and has been found compatible with an exponential increase with a scale of the order of the magnetic exchangeJ.

In the TLL region (h = J), as described in Eq. (4.11), the low temperature behavior of the relaxation rate should be approximately described by an algebraic decay with the exponent 2K1 −1, which is fully determined by the TLL parameter K[32, 41]. At larger temperature a breakdown of this low energy prediction is ex-pected. In Fig. 4.2 our numerical results for(1/T1)+−are quantitatively compared to the TLL predictions. Up to temperatures of aboutkBT /J ≈ 0.2the numerical points agree within the error bars with the prediction made in Eq. (4.11). This com-parison is achieved using previously extracted values for the Tomonaga-Luttinger parameterK = 0.66(1), the amplitudeAx = 0.119(1)from Refs. [62, 63], and u= 1.298(5)J/~(lattice spacing equal to 1) extracted from separate calculations which we performed using standard finite size DMRG methods following what was discussed in Section 3.2.2. Thus, all parameters in Eq. (4.11) are fully determined.

For temperatures larger thankBT /J ≈ 0.2 the numerical results are much higher than the decaying TLL prediction. This is to be expected and clearer in theqspace for which the local correlation can be seen as a sum over allqpoints. The TLL for-mula only contains the part coming from one of the low energyqpoints (qaround πin the absence of magnetic field). At higher temperatures otherqpoints start to contribute significantly to the sum. The numerical results even seem to show a slight maximum aroundkBT /J ≈0.5and then remain more or less constant in value up to the shown maximal temperature.

At the quantum critical point h = 2J, an algebraic divergence of the 1/T1

4. NMR RELAXATION RATE

Figure 4.2:(1/T1)+−as defined in Eq. (4.8), multiplied byJ/~to have a dimensionless quantity, as a function ofkBT /Jfor an XXX model under magnetic field. Dots with errorbars are MPS results, solid lines are the analytical predictions and/or fits. a = 0.71(2)(fit parameter). Picture taken from Ref. [29].

with the temperature is also expected in the low T limit. It is predicted to behave as∝ (kBT /J)−0.5 as obtained in Refs. [72–74]. This behavior has been experi-mentally observed for example in the Heisenberg chain compound copper pyrazine in Ref. [75] and discussed in Ref. [76]. In this situation the prefactor is not eas-ily extracted and therefore we fit the expected algebraic behaviorJ(1/T1)+−/~ = a(kBT /J)−0.5with a free fit parametera. We obtain very good agreement of our numerical results with the fit using the valuea = 0.71(2)in the entire regime of temperatures up tokBT /J ≈2, as shown in Fig. 4.2. This means that our results are in agreement with the predictions of the quantum critical regime extending up to these temperatures. In addition in Fig. 4.3 we offer a comparison between our magnetization data computed at finite temperature, and the scaling function close to (or on) a field-induced quantum critical point, which have been calculated and used in the literature [72,76,77]. Ath= 2J =hc, from Eqs. (2) and (3) in [76], we know that the magnetization per site should behave as

m(T) =mS

wheremS = 0.5is the magnetization per site at saturation,d= 1is the dimension

4.3 Results for1/T1as a function of the temperature

0 0.5 1 1.5 2

0 0.1 0.2 0.3 0.4 0.5

kBT /J

Magnetizationpersitem

MPS

m(T) = 0.50.24132q

kBT J

Figure 4.3: Magnetization per site as a function ofkBT /J for the Heisenberg model at the critical fieldh= 2J. Blue stars are MPS results (error bars are smaller than the symbol size), red circles are the analytical predictions. Picture taken from Ref. [29].

of the system,δhc= 0is the distance from the critical field and

M(δhc/kBT) = 1 π

Z 0

dx 1

ex2−(δhc/kBT)+ 1. (4.14) We observe a good agreement between numerical results and the analytical predic-tion, which is supposed to be valid in the low temperature limit. We see numerical data approaching the analytics as the temperature is lowered.

In Fig. 4.4 the results for the1/T1 relaxation rate for theSzz correlations at a field ofh = 5J are reported. The system at this magnetic field exhibits a gapped energy spectrum, and we denote the gap by ∆g = h−2J = 3J. Due to the gapped energy spectrum, an exponential decay with temperature is expected and in-deed observed numerically. In order to validate the exponential form for a different parameter regime we consider also the XX model at the same magnetic field which can be mapped onto free fermions. The corresponding gap in the energy spectrum is given by∆g =h−J = 4J. We computed the longitudinal part of the1/T1 an-alytically (the density-density correlation for the corresponding free fermions), and tried successfully a fit with an exponential of−∆g/kBT. The analytical calcula-tion was performed up to a finite timetmax = 20~/J, the errorbars come from the extrapolation procedure fortmax→ ∞.

4. NMR RELAXATION RATE

0 1 2 3 4 5

−20

−15

−10

−5 0

J/kBT ln(J(1/T1)zz/¯h)

MPS, XXX,h= 5J Fit:akBgT,g= 3J Analytics, XX,h= 5J Fit:c

g

kBT,g= 4J

Figure 4.4:Logarithm ofJ(1/T1)zz/~(unitless quantity) from Eq. (4.9) as a function ofJ/kBT. We considered the Heisenberg and the XX model, withh= 5J. Blue dots with errorbars are MPS results, red dots with errorbars (due to extrapolation of the result at infinitetmax) are analytical results. Solid lines are the fits according to the expected behavior.a= 0.5(1)andb= 1.0(1)are the fit parameters. Picture taken from Ref. [29].

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