Thermodynamics of the kagome-lattice Heisenberg antiferromagnet with arbitrary spin $S$
P. M\"uller, A. Zander, J. Richter

TL;DR
This study combines Green's function and high-temperature expansion methods to analyze the thermodynamic properties of the kagome-lattice spin-$S$ Heisenberg antiferromagnet, revealing how quantum effects influence ordering and correlations across different spins.
Contribution
It introduces a comprehensive analysis of the thermodynamics of the kagome-lattice Heisenberg antiferromagnet for arbitrary spin $S$, highlighting the $S$-dependence of ordering and correlation phenomena.
Findings
$ m ilde{ ext{Q}}$} ext{order is more pronounced than $q=0$ order for all $S$.
Correlation length for $S=1/2$ is only about nearest-neighbor distance at zero temperature.
Short-range order persists with little temperature dependence below $T^* oughly 0.2 / S(S+1)$.
Abstract
We use a second-order rotational invariant Green's function method (RGM) and the high-temperature expansion (HTE) to calculate the thermodynamic properties, of the kagome-lattice spin- Heisenberg antiferromagnet with nearest-neighbor exchange . While the HTE yields accurate results down to temperatures of about , the RGM provides data for arbitrary . For the ground state we use the RGM data to analyze the -dependence of the excitation spectrum, the excitation velocity, the uniform susceptibility, the spin-spin correlation functions, the correlation length, and the structure factor. We found that the so-called ordering is more pronounced than the ordering for all values of . In the extreme quantum case the zero-temperature correlation length is only of the order of the nearest-neighbor separation. Then we studyâŠ
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Thermodynamics of the kagome-lattice Heisenberg antiferromagnet with arbitrary spin .
P. MĂŒller
Institut fĂŒr Theoretische Physik, Otto-von-Guericke-UniversitĂ€t Magdeburg, D-39016 Magdeburg, Germany
ââ
A. Zander
Institut fĂŒr Theoretische Physik, Otto-von-Guericke-UniversitĂ€t Magdeburg, D-39016 Magdeburg, Germany
ââ
J. Richter
Institut fĂŒr Theoretische Physik, Otto-von-Guericke-UniversitĂ€t Magdeburg, D-39016 Magdeburg, Germany
Max-Planck-Institut fĂŒr Physik Komplexer Systeme, Nöthnitzer StraĂe 38, 01187 Dresden, Germany
(March 18, 2024)
Abstract
We use a second-order rotational invariant Greenâs function method (RGM) and the high-temperature expansion (HTE) to calculate the thermodynamic properties, of the kagome-lattice spin- Heisenberg antiferromagnet with nearest-neighbor exchange . While the HTE yields accurate results down to temperatures of about , the RGM provides data for arbitrary . For the ground state we use the RGM data to analyze the -dependence of the excitation spectrum, the excitation velocity, the uniform susceptibility, the spin-spin correlation functions, the correlation length, and the structure factor. We found that the so-called ordering is more pronounced than the ordering for all values of . In the extreme quantum case the zero-temperature correlation length is only of the order of the nearest-neighbor separation. Then we study the temperature dependence of several physical quantities for spin quantum numbers . As increasing the typical maximum in the specific heat and in the uniform susceptibility are shifted towards lower values of and the height of the maximum is growing. The structure factor exhibits two maxima at magnetic wave vectors corresponding to the and state. We find that the short-range order is more pronounced than the short-range order for all temperatures . For the spin-spin correlation functions, the correlation lengths and the structure factors, we find a finite low-temperature region , , where these quantities are almost independent of .
I Introduction
One of the most prominent and at the same time challenging spin models with a frustration induced highly degenerated classical ground state (GS) manifold is the kagome Heisenberg antiferromagnet (KHAF) Zeng and Elser (1990); Chalker et al. (1992); Harris et al. (1992); Singh and Huse (1992); Reimers and Berlinsky (1993); Elstner et al. (1993); Elstner and Young (1994); Henley and Chan (1995); Nakamura and Miyashita (1995); Tomczak and Richter (1996); Waldtmann et al. (1998); Yu and Feng (2000); Sindzingre et al. (2000); GarcĂa-Adeva and Huber (2001); Bernhard et al. (2002); SchmalfuĂ et al. (2004); Misguich and Bernu (2005); Singh and Huse (2007); Li et al. (2007); Rigol et al. (2007); Zhitomirsky (2008); Jiang et al. (2008); LĂ€uchli and Lhuillier (2009); Evenbly and Vidal (2010); Götze et al. (2011); Nakano and Sakai (2011); Iqbal et al. (2011); Yan et al. (2011); LĂ€uchli et al. (2011); Depenbrock et al. (2012); Rousochatzakis et al. (2013); Iqbal et al. (2013); Rousochatzakis et al. (2014); Xie et al. (2014); Lohmann et al. (2014); Munehisa (2014); Kolley et al. (2015); Götze and Richter (2015); Changlani and LĂ€uchli (2015); Liu et al. (2015); Picot and Poilblanc (2015); Nishimoto and Nakamura (2015); Liu et al. (2016); Shimokawa and Kawamura (2016); Oitmaa and Singh (2016); Götze and Richter (2016); LĂ€uchli et al. (2016); He et al. (2017); Liao et al. (2017); P. and Singh (2017); Chen et al. (2017). This degeneracy is lifted by fluctuations (order from disorder mechanism) Villain et al. (1980); Shender (1982); Henley and Chan (1995). Particular attention has been paid to the extreme quantum spin-half case [Waldtmann et al., 1998; Yu and Feng, 2000; Sindzingre et al., 2000; Bernhard et al., 2002; SchmalfuĂ et al., 2004; Singh and Huse, 2007; Li et al., 2007; Zhitomirsky, 2008; Jiang et al., 2008; LĂ€uchli and Lhuillier, 2009; Evenbly and Vidal, 2010; Götze et al., 2011; Nakano and Sakai, 2011; Iqbal et al., 2011; Yan et al., 2011; LĂ€uchli et al., 2011; Depenbrock et al., 2012; Rousochatzakis et al., 2013; Iqbal et al., 2013; Rousochatzakis et al., 2014; Xie et al., 2014; Lohmann et al., 2014; Kolley et al., 2015; Götze and Richter, 2015, 2016; LĂ€uchli et al., 2016; He et al., 2017; Liao et al., 2017; P. and Singh, 2017; Chen et al., 2017]. Although, there is consensus on the absence of magnetic long-range order (LRO) the nature of the spin-liquid GS is still under debate. Meanwhile also for spin quantum number there is evidence that the KHAF does not exhibit magnetic LRO Götze et al. (2011); Götze and Richter (2015); Changlani and LĂ€uchli (2015); Liu et al. (2015); Picot and Poilblanc (2015); Nishimoto and Nakamura (2015). Recently it has been argued that there is a route to magnetic GS LRO in the KHAF as increasing the spin quantum number to , see Götze et al. (2011); Götze and Richter (2015); Oitmaa and Singh (2016); Liu et al. (2016).
Except the theoretical work there is also a large activity on the experimental side. Among the kagome compounds, Herbertsmithite ZnCu3(OH)6Cl2 is a promising candidate for a spin liquid, see Mendels et al. (2007); Helton et al. (2007); Hiroi et al. (2009); de Vries et al. (2009); Wulferding et al. (2010); Han et al. (2012). Examples for kagome magnets with higher spin are deuteronium jarosite (D3O)Fe3(SO4)2(OD)6 with spin , see FÄk et al. (2007), and the recently studied Cr-Jarosite KCr3(OH)6(SO4)2 with spin , see Okubo et al. (2017).
Due to the order from disorder mechanism two different coplanar states may be selected by fluctuations: (i) The so called state with a corresponding magnetic wave vector (Fig. 1, left), which has a magnetic unit cell that is identical to the geometrical one. (ii) The so called state (Fig. 1, right) with a corresponding magnetic wave vector which has a three times larger unit cell, cf. e.g., Zhitomirsky (2008). Moreover, both states are characterized by different vector chirality patterns, see Fig. 1. The selection of one of these states is a subtle issue and depends on spin quantum number, anisotropy etc., see, e.g., Sachdev (1992); Chubukov (1992); Henley and Chan (1995); Götze et al. (2011); Chernyshev and Zhitomirsky (2014, 2015); Götze and Richter (2015, 2016). While for the widely studied GS properties a plethora of many-body methods are available, the tool box for the calculation of finite-temperature properties of highly frustrated quantum magnets is sparse. Here we use two universal approaches suitable to calculate thermodynamic quantities of Heisenberg quantum spin systems of arbitrary lattice geometry, namely the Green-function technique Gasser et al. (2001); Nolting and Ramakanth (2009); Fröbrich and Kuntz (2006) and the high-temperature expansion Elstner et al. (1993); Elstner and Young (1994); Rosner et al. (2003); Singh and Oitmaa (2012); Bernu et al. (2013); Oitmaa et al. (2006); Bernu and Misguich (2001); Misguich and Bernu (2005); Bernu and Lhuillier (2015); Schmidt et al. (2011); Lohmann et al. (2014); Richter et al. (2015); Schmidt et al. (2017); P. and Singh (2017).
We study the kagome lattice with antiferromagnetic () nearest-neighbor interaction
[TABLE]
where the Greek indices () run over the spins in a geometrical unit cell (that contains three sites) and the latin indices and label the unit cells given by the basis vectors and .
The paper is organized as follows: In Sec. II we briefly illustrate the applied methods. In Sec. III.1 we describe the properties of the model at zero temperature, followed by the discussion of finite-temperature properties of the model in Sec. III.2. In Sec. IV we summarize our findings.
II Methods
II.1 Rotation-invariant Greenâs function method (RGM)
A rotation-invariant formalism of the Greenâs function method was first introduced by Kondo and Yamaji Kondo and Yamaji (1972) to describe short-range order (SRO) of the one-dimensional Heisenberg ferromagnet at . They decoupled the hierarchy of equation of motions in second order, i.e., one step beyond the usual random-phase approximation (RPA) Tyablikov (1967); Gasser et al. (2001); Nolting and Ramakanth (2009) and introduced rotational invariance by setting in the equations of motions. Within this rotation-invariant scheme possible magnetic LRO is described by the long-range part in the two-point spin correlators. Furthermore, the approximation made by the decoupling of higher-order correlators is improved by introducing so-called vertex parameters, see below. In the following decades the rotation-invariant Greenâs function method (RGM) was further elaborated to include arbitrary spin , antiferromagnetic spin systems including frustrated ones and also more complex spin-lattices with non-primitive unit cells Rhodes and Scales (1973); Shimahara and Takada (1991); Suzuki et al. (1994); Barabanov and Beresovsky (1994); Winterfeldt and Ihle (1997); Ihle et al. (1999); Yu and Feng (2000); Siurakshina et al. (2001); Bernhard et al. (2002); SchmalfuĂ et al. (2004, 2006, 2005); Junger et al. (2005, 2009); HĂ€rtel et al. (2008, 2010, 2011a, 2011b, 2013); Antsygina et al. (2008); Mikheyenkov et al. (2013); A. A. Vladimirov et al. (2014); MĂŒller et al. (2015); Mikheyenkov et al. (2016); A. A. Vladimirov et al. (2017); MĂŒller et al. (2017a, b). At the present time the RGM is a well established method and has been successfully used in numerous recent publications on the theory of frustrated spin systems Yu and Feng (2000); Siurakshina et al. (2001); Bernhard et al. (2002); SchmalfuĂ et al. (2004, 2006, 2005); HĂ€rtel et al. (2008, 2010, 2011a, 2011b, 2013); MĂŒller et al. (2015); Junger et al. (2005, 2009); Mikheyenkov et al. (2013, 2016); MĂŒller et al. (2017a, b).
The early papers using the RGM Yu and Feng (2000); Bernhard et al. (2002); SchmalfuĂ et al. (2004) to study the KHAF were restricted to the spin- case and used a simple minimal version of the RGM, see below. In the present paper we extend the RGM approach to arbitrary values of the spin quantum number and improve the previous RGM studies going beyond the minimal version by introducing one more vertex parameter. Moreover, we provide a more comprehensive analysis of the thermodynamic quantities by considering, e.g. the temperature dependence of the structure factor and correlation lengths.
The basic quantity that has to be determined within the RGM is the (retarded) Greenâs function , which is related to the dynamic wavelength-dependent susceptibility . To determine we use the equation of motion (EoM) up to second order,
[TABLE]
Naturally, for an interacting many-body problem more complicated (i.e., higher-order) Greenâs functions appear in the EoM. It is in order to mention here that the RPA, that can be obtained by applying the EoM only once (first line in Eq. (2)), has the disadvantage that only phases with magnetic LRO can be described properly, since the Greenâs function is proportional to magnetic order parameters Tyablikov (1967); Gasser et al. (2001); Nolting and Ramakanth (2009). In contrast, SRO can be adequately described by the RGM due to including the next order in the EoM, see the second line in Eq. (2). The operator appearing in second-order contains several combinations of three-spin operators. These products of three-spin operators are simplified by the decoupling scheme along the lines of, e.g., Suzuki et al. (1994); Junger et al. (2009); HĂ€rtel et al. (2011a); MĂŒller et al. (2017b) which can be sketched as follows:
[TABLE]
where are sites of the kagome lattice, and the conservation of total is implied, i.e., .
In Eq. (3) two classes of so-called vertex parameters, and , are introduced to improve the approximation made by the decoupling. The parameter enters the decoupling scheme if all sites are different from each other, see lines 1 and 2 in Eq. (3). In line 3 of Eq. (3) the correlation is determined by using the sum rule (operator identity) , i.e., due to within the RGM we have and finally . The other class of vertex parameters, , present in lines 4, 5 and 6 of Eq. (3) appears only for if two sites coincide and the remaining correlation function cannot be obtained by an operator identity.
Then the EoM reads
[TABLE]
where (moment matrix), (frequency matrix) and (susceptibility matrix) are hermitian 33-matrices and is the identity matrix. Performing corresponding calculations as described above the components of the moment matrix are obtained as
[TABLE]
The elements of frequency matrix of the spin excitations
[TABLE]
are given by
[TABLE]
[TABLE]
where we have used the abbreviations
[TABLE]
and lattice symmetry is used to identify equivalent correlators. The indices indicate lattice sites separated by the vector , i.e., . Their common eigenvectors and their eigenvalues (, with ) are needed to solve a system of self-consistent equations. The square-root of the eigenvalues of the frequency matrix can be identified as the branches , , of the excitation spectrum.
Finally, the dynamic wavelength-dependent susceptibility reads
[TABLE]
and the static -dependent susceptibility is given by
[TABLE]
where is the number of sites in the geometric unit cell. The correlation functions are obtained by applying the spectral theorem
[TABLE]
with
[TABLE]
where is the number of unit cells and is the Bose-Einstein distribution function. At the point () the eigenvectors have the very simple form , , and .
After straightforward calculations we get
[TABLE]
Obviously, we have one flat band, namely , and two dispersive branches and , where is the acoustic branch.
The static uniform susceptibility is given by (cf. Eqs. (16) and (17))
[TABLE]
The magnetic correlation length is obtained by expanding the susceptibility in the neighborhood of the corresponding magnetic wave vector , see, e.g., SchmalfuĂ et al. (2004, 2005); Junger et al. (2005); HĂ€rtel et al. (2010, 2011a, 2011b, 2013); MĂŒller et al. (2015, 2017a, 2017b). While for the state the expansion is straightforward and yields , the corresponding susceptibility for the state is a quotient of two -independent quantities, cf. Eq. (20). Having in mind the above relation between and and the fact that both quantities would simultaneously diverge at a transition point to magnetic LRO, see, e.g., MĂŒller et al. (2017a, b), we choose as a measure of the correlation length related to a possible ordering. In what follows we will use the term âcorrelation lengthâ for , too. To analyze magnetic ordering we can use the static magnetic structure factor , which is related to , cf. Eq. (19).
The final step in the RGM approach is to find as many equations as there are unknown quantities in the RGM equations, where except the correlation functions entering the EoM also the introduced vertex parameters and have to be determined. Then, by numerical solution of the resulting system of coupled self-consistent equations the physical quantities can be determined. Taking into account all possible vertex parameters and would noticeably exceed the number of available equations. Within the minimal version of the RGM one takes into account only one vertex parameter in each class, i.e., and . Note that this simple version with only one parameter () was used in the early RGM kagome papers for the spin-half case, see Yu and Feng (2000); Bernhard et al. (2002); SchmalfuĂ et al. (2004). This approach is particularly appropriate for ferromagnets Kondo and Yamaji (1972); Suzuki et al. (1994); HĂ€rtel et al. (2008); Junger et al. (2005); SchmalfuĂ et al. (2005); Antsygina et al. (2008); HĂ€rtel et al. (2010, 2011a, 2011a); MĂŒller et al. (2015, 2017a, 2017b), where all correlation functions have the same sign. However, for antiferromagnets typically the consideration of one additional vertex parameter allowing to distinguish between nearest-neighbor and further-neighbor correlations may yield a significant improvement of the method, see, e.g., Winterfeldt and Ihle (1997); Siurakshina et al. (2001); SchmalfuĂ et al. (2006); HĂ€rtel et al. (2013); A. A. Vladimirov et al. (2014, 2017). Thus, we set , if () are nearest neighbors sites, and , if () are not nearest neighbors sites. (For the minimal version holds.) Note that in the relevant equations the vertex parameters only appear for nearest-neighbors sites and , i.e., we set consistently .
The required equations to determine all unknown quantities are as follows: For every unknown correlation function the spectral theorem yields one equation, cf. Eqs. (18) and (19). Another equation is given by the sum rule , which determines, e.g., one vertex parameter, say . For the missing two vertex parameters, and , we follow Shimahara and Takada (1991); Winterfeldt and Ihle (1997); Siurakshina et al. (2001); Junger et al. (2005, 2009); HĂ€rtel et al. (2011a); A. A. Vladimirov et al. (2014); MĂŒller et al. (2015, 2017b); A. A. Vladimirov et al. (2017) and use the ansatzes and , where the values and are known and can be verified by comparison with the high-temperature expansion, see, e.g., Junger et al. (2005). (Note that in the minimal version of the RGM only one of these two equations, namely , has to be solved, because .) For the vertex parameter at zero temperature we use the well-tested ansatz Junger et al. (2009); HĂ€rtel et al. (2011a); A. A. Vladimirov et al. (2014); MĂŒller et al. (2015). Last but not least, for the extended version we determine the additional vertex parameter by adjusting the GS energy to the values obtained by high-order coupled cluster method (CCM) Götze et al. (2011); Götze and Richter (2015), which is known to yield precise values for , see, e.g., Fig. 7 in Xie et al. (2014).
II.2 High Temperature Expansion (HTE)
In addition to the RGM, we use a general high temperature expansion (HTE) code, see Schmidt et al. (2011); Lohmann et al. (2014), to discuss the thermodynamics of the KHAF. We compute the series of the susceptibility and the specific heat up to order 11. To extend the region of validity of the power series Padé approximants are a conventional transformation. These approximants are ratios of two polynomials of degree and : . Furthermore the series of the correlation functions are analyzed up to 11th order, which we use to consider the static magnetic structure factor , see, e.g., Richter et al. (2015). The structure factor is one of the main outcomes of neutron diffraction measurements, where the maxima of the structure factor indicate the favored magnetic ordering.
III Results
In what follows we set the energy scale of the model (1) by fixing the exchange constant .
III.1 Zero-temperature properties
We start with the discussion of the RGM results for the GS properties using the minimal as well as the extended (i.e., with CCM input) version of the RGM. In Fig. 2 we show the GS energy as a function of the inverse spin quantum number . It is obvious that the minimal version leads to significant higher energy values, where for the difference is smallest. It is also obvious, that the minimal version does not yield the correct classical large- limit, . Thus, we conclude that the minimal version is only applicable for small values of . This conclusion is supported by the data for the static uniform susceptibility shown in Fig. 3. In what follows (i.e., figures subsequent to Fig. 3), we therefore focus on the discussion of the results obtained by the extended version, i.e., unless stated otherwise, all data presented below belong to the extended version. Now we discuss the excitation spectrum shown in Fig. 4. We mention first, that in linear spin-wave theory (LSWT) is independent of , the flat band is exactly at zero energy and the two dispersive branches, and , are degenerate Chernyshev and Zhitomirsky (2015). The RGM provides an improved description of the excitation energies. The flat band is of course also present, but its position depends on , where decreases almost linearly with down to as , see inset of Fig. 5. Moreover, the degeneracy of and is lifted and there is a noticeable dependence of the dispersive branches on . In particular, in the extreme quantum case the dispersion relations deviate strongly from the LSWT. As increasing the RGM data approach the LSWT result.
The GS excitation velocity corresponding to the linear expansion of the lowest branch around the point is given by . The LSWT result is . Numerical data for are shown in Fig. 5. While in LSWT is independent of , within the RGM there is a noticeable dependence of on .
Let us turn to the spin-spin correlation functions . In Fig. 6, main panel, we show all non-equivalent GS correlators up to a separation for some selected values of using a logarithmic scale for . In the inset we compare the minimal with the extended version for without using a logarithmic scale. Note that the presented data for the minimal version correspond to the results of Bernhard, Canals and Lacroix Bernhard et al. (2002). In accordance with Figs. 2 and 3 for the difference between the minimal and the extended version are not tremendous but noticeable. Since for a certain separation non-equivalent sites exist, more than one data point can appear at one and the same separation . The data suggest that the overall decay of seems to be linear, thus indicating an exponential decay of the correlators. It is also obvious, that the decay is faster the lower the spin quantum number . This observation from Fig. 6 is in agreement with results for the correlation lengths (corresponding to ordering) and (corresponding to ordering), shown in Fig. 7 (for the definition of and see Sec. II.1). In the extreme quantum spin-half case the correlation lengths are of the order of one lattice spacing as expected in a spin liquid. That is in agreement with known results, e.g., obtained by large-scale density-matrix renormalization-group (DMRG) studies Kolley et al. (2015). The RGM data then indicate a power-law increase of both, and , with increasing , see Fig. 7. We find for all , but the difference of both correlation lengths is small.
Now we discuss the GS static magnetic structure factor . In Fig. 8 we show an intensity plot of using an extended Brillouin zone, see panel (a) and cf. also Kolley et al. (2015). For we find the typical pattern LÀuchli and Lhuillier (2009); Depenbrock et al. (2012); Kolley et al. (2015), i.e., the intensity is concentrated along the edge of the extended Brillouin zone, where remains small even at the magnetic -vectors and related to the and states. This smooth shape of is related to the fast decay of the spin-spin correlations, see Fig. 6. As increasing the structure factor develops a more pronounced shape, and pinch points, typical for the classical KHAF Zhitomirsky (2008), emerge between triangular shaped areas of large intensity, see Fig. 8c. This observation is also obvious from Fig. 9, where we show the structure factor along a prominent path in the extended Brillouin zone. As indicated by Figs. 8 and 9, we find that for all values of the relation holds. Together with the data for the correlation lengths and (Fig. 7) we may conclude that SRO is favored in agreement with previous investigations Chubukov (1992); Sachdev (1992); Henley and Chan (1995); Götze et al. (2011); Chernyshev and Zhitomirsky (2014).
From the static GS properties reported above we conclude that, although the magnetic SRO with symmetry becomes more and more pronounced with increasing , within the RGM approach no magnetic LRO for the spin- KHAF is found. We may compare this finding with known GS results obtained by other methods. Note, however, that for data to compare with are extremely rare. We mention first that within the LSWT the quantum correction of the sublattice magnetization always diverges due to the zero-energy flat band, see, e.g., Chernyshev and Zhitomirsky (2014). As briefly discussed in the introduction, more sophisticated GS methods such as the CCM and the DMRG yield evidence that for semiclassical magnetic LRO is also lacking Götze et al. (2011); Götze and Richter (2015); Changlani and LĂ€uchli (2015); Liu et al. (2015); Picot and Poilblanc (2015); Nishimoto and Nakamura (2015). On the other hand, recent results obtained by CCM, tensor network approaches, and series expansion indicate weak GS LRO for Götze et al. (2011); Götze and Richter (2015); Oitmaa and Singh (2016); Liu et al. (2016). Previous experience in applying the RGM on frustrated quantum antiferromagnets, see, e.g., Barabanov and Beresovsky (1994); Siurakshina et al. (2001); SchmalfuĂ et al. (2004); HĂ€rtel et al. (2013); Mikheyenkov et al. (2013) and references therein, indicate, however, that the implementation of rotational invariance by setting in the equations of motions may overestimate the tendency to melt semiclassical GS magnetic LRO in RGM calculations.
III.2 Finite-temperature properties
In what follows, as a rule we will present the temperature dependence of physical quantities using a normalized temperature . This choice ensures a spin-independent behavior of the physical quantities at large temperatures Schmidt et al. (2011). Moreover, we mention again that (unless stated otherwise) we present RGM data for the extended version using CCM input (see above).
III.2.1 Spin-spin correlation functions, specific heat and uniform
susceptibility
We start with the discussion of the temperature dependence of short-range spin-spin correlation functions . We show the absolute values in Fig. 10, main panel, for , , and . (Note that the NN correlation is antiferromagnetic, whereas the NNN and NNNN correlation functions are ferromagnetic.) We find that there is a low-temperature region where the presented correlation functions are almost temperature independent. This region is largest for the extreme quantum case . It is also obvious that for the magnetic SRO becomes more pronounced as increasing (cf. also Fig. 6). On the other hand, for the curves for various practically coincide. In the inset of Fig. 10 we compare the two versions of the RGM (minimal and extended) as well as the HTE series for . Obviously, both versions of the RGM agree well with each other. Note, however, that this statement does not hold for larger values of , cf. the discussion in Sec. III.1. The HTE approach for correlation functions is also in good agreement with the RGM data down to .
Now we turn to the specific heat. For the extreme quantum case various methods provide indications for an additional low-temperature peak at about Elstner and Young (1994); Nakamura and Miyashita (1995); Tomczak and Richter (1996); Sindzingre et al. (2000); Misguich and Bernu (2005); Rigol et al. (2007); Munehisa (2014); Shimokawa and Kawamura (2016) due to a set of low-lying singlet states. However, instead of a true maximum a shoulder-like hump may characterize the low- profile of Misguich and Bernu (2005); Chen et al. (2017). It is an open question whether for such a feature is still present. Our RGM approach does not show any unconventional feature in the temperature profile of the specific heat at low for and , cf. Fig. 11. For a weakly pronounced shoulder-like hump emerges (see the inset of Fig. 11). We argue, that our RGM approach is not able to detect the subtle role of low-lying excitations relevant for the low-temperature physics of the KHAF in the extreme quantum limit of small spin . On the other hand, in the limit of large the RGM data seem to approach the classical Monte-Carlo data Chalker et al. (1992); GarcĂa-Adeva and Huber (2001) reasonably well.
The temperature dependence of the static uniform susceptibility for spin quantum numbers is shown in Fig. 12. Similar as for the specific heat there is a well-pronounced tendency to shift the typical maximum in towards lower values of and to enlarge the height of the maximum as increasing . Again, in the limit of large the RGM data seem to approach the classical Monte-Carlo data Reimers and Berlinsky (1993); GarcĂa-Adeva and Huber (2001) reasonably well. The fact that is finite, cf. also Fig. 3, is in favor of a vanishing gap to magnetic excitations. There is an ongoing controversial discussion of the gap issue for the KHAF Yan et al. (2011); Depenbrock et al. (2012); LĂ€uchli et al. (2011, 2016); Iqbal et al. (2011, 2013); Liao et al. (2017). However, we do not claim, that our approach is accurate enough at low temperatures in the quantum limit of small to provide reliable statements on the very existence of an excitation gap.
III.2.2 Structure factor and correlation lengths
To get more insight in the magnetic ordering of the KHAF at finite temperatures we investigate the structure factor and the correlation lengths. Some information on magnetic SRO has already been provided in Fig. 10. First we show in Fig. 13 an intensity plot of the static structure factor for and for and compare RGM and HTE. The overall impression is that the RGM and HTE approaches yield very similar intensity plots of . The characteristic hexagonal bow-tie pattern (i.e., the intensity is concentrated along the edge of the extended Brillouin zone), which was found at , cf. Fig. 8, is still present at .
Next we show in Fig. 14 the static structure factor along the path for and for (RGM and HTE) and (only RGM, see also Fig. 9). Obviously, the temperature is already large enough, such that all four curves are very close to each other. Although, the weakening of magnetic ordering by thermal fluctuations is evident, the overall shape of the finite-temperature curves is similar to the GS curves, especially the maxima at ( state) and at ( state) are still present, and .
In experiments, often neutron scattering on powder samples are performed, see, e.g. de Vries et al. (2009). Hence, we also present the powder-averaged structure factor , i.e., we integrate over all points at equal . We show HTE data for for and at various temperatures in Fig. 15. The first broad maximum at corresponds to short-ranged antiferromagnetic correlations and its position is in good agreement with experiments on Herbertsmithite de Vries et al. (2009). (Note that the separation of NN copper ions in Herbertsmithite is à , here we use .) While the influence of on the height of the maxima in is recognizable, the position of the maxima is almost independent of . Thus, from Fig. 15 and Fig. 14 one can conclude that the type of magnetic SRO found at pretty high temperatures indicate a possible magnetic ordering at low temperatures.
Last but not least we discuss the temperature dependence of the structure factors at the magnetic wave vectors ( state) and ( state) and of the corresponding correlation lengths and , see Figs. 16 and 17. First we note that the SRO is more pronounced than the SRO for all temperatures , i.e., and (cf. also Figs. 7 and 9 for the GS). As increasing the SRO becomes more distinct. Only at temperatures the curves for different collapse to one universal curve, cf. Lohmann et al. (2014). At low temperatures we find a plateau-like behavior in the correlation lengths and the structure factors, and . The region of almost constant correlation lengths and structure factors is largest for and it shrinks noticeably as increasing approaching zero in the classical limit (). To define a reasonable estimate of we chose that value of , where correlation lengths and the structure factors reach of its GS values. The corresponding data are shown in Fig. 18. We mention that for the correlation lengths the relation describes the plotted behavior accurately, where for . (Note that the prefactor increases only slightly to as changing to .) We may argue that below the quantum fluctuations are more important than thermal fluctuations.
IV Summary
We use two methods to discuss the thermodynamic properties of the kagome Heisenberg antiferromagnet with arbitrary spin , namely the rotational invariant Greenâs function method (RGM) and the high-temperature expansion (HTE). Within the RGM we consider GS as well as finite-temperature properties, whereas the HTE is restricted to . Within the RGM approach the model does not exhibit magnetic LRO for all values of . In the extreme quantum case the zero-temperature correlation length is only of the order of the nearest-neighbor separation. As increasing the correlation length grows according to a power-law in . We found that the so-called SRO is favored versus the SRO for all values of . It is worth mentioning that other methods specifically designed for the GS Götze et al. (2011); Götze and Richter (2015); Oitmaa and Singh (2016); Liu et al. (2016) indicate that GS LRO may appear for . As known from previous studies the rotational invariant decoupling in the RGM scheme may overestimate the tendency to suppress magnetic order, cf. Barabanov and Beresovsky (1994); Siurakshina et al. (2001); SchmalfuĂ et al. (2004); HĂ€rtel et al. (2013); Mikheyenkov et al. (2013) and references therein.
As typical for two-dimensional Heisenberg antiferromagnets, the specific heat and the uniform susceptibility exhibit a maximum related to the size of the exchange coupling . For both quantities, with growing this maximum moves towards lower values of and its height increases. In the limit of large the RGM data approach the classical curves.
The structure factor shows two maxima at magnetic wave vectors , corresponding to the and state, where holds for all values of and all temperatures . In a finite low-temperature region , the magnetic SRO is quite stable against thermal fluctuations, i.e., the correlation lengths and the structure factors and are almost independent of . The powder-averaged structure factor exhibits a broad maximum related to short-ranged antiferromagnetic correlations and its position is in good agreement with experiments on powder samples of Herbertsmithite de Vries et al. (2009).
Acknowledgments
The authors thank D. Ihle and Paul McClarty for valuable hints.
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