Spin-Spin Correlations in the Kitaev Model at Finite Temperatures:
Approximate and Exact Results via Green’s Function Equation of Motion
Hibiki Takegami
takegami.hibiki.64h@st.kyoto-u.ac.jp
Course of Studies on Materials Science,
Graduate School of Human and Environmental Studies,
Kyoto University, Kyoto 606-8501, Japan
Takao Morinari
morinari.takao.5s@kyoto-u.ac.jp
Course of Studies on Materials Science,
Graduate School of Human and Environmental Studies,
Kyoto University, Kyoto 606-8501, Japan
Abstract
The Kitaev model, defined on a honeycomb lattice, features an exactly solvable ground state
with fractionalized Majorana fermion excitations,
which can potentially form non-Abelian anyons crucial for fault-tolerant topological quantum computing.
Although Majorana fermions are essential for obtaining the exact ground state,
their physical interpretation in terms of spin operators remains unclear.
In this study, we employ a Green’s function approach that maintains SU(2) symmetry
to address this issue and explore the model’s finite temperature properties.
Our results demonstrate that the computed temperature dependence of the correlation functions
closely approximates the exact values at zero temperature, confirming the accuracy of our method.
We also present several exact results concerning the spin Green’s function and
spin-spin correlation functions that are specific to the Kitaev model.
Quantum spin liquids have emerged as a central topic in condensed matter physics,
capturing significant attention due to their complex and intriguing properties Savary and Balents (2017).
Among the various theoretical models, the Kitaev model is particularly notable
for its exactly solvable ground state, which features fractionalized Majorana fermions Kitaev (2006).
This model is not only analytically tractable but also holds potential for real-world applications
in materials with significant spin-orbit coupling Jackeli and Khaliullin (2009); Takagi et al. (2019).
Majorana fermions play a crucial role in the development of topological quantum computers,
offering a platform for fault-tolerant quantum computation Kitaev (2003); Nayak et al. (2008).
While investigating the Kitaev model in terms of Majorana fermions provides
significant mathematical elegance, a deeper understanding of the physical nature of Majorana fermions
may be achieved through the study of spin operators.
However, the Kitaev model presents substantial challenges due to its highly frustrated
and strongly correlated nature.
In this paper, we employ the spin Green’s function approach for the spin operators
while preserving SU(2) symmetry and solve its equation of motion.
This method, which maintains SU(2) symmetry Kondo and Yamaji (1972),
is particularly suitable because the system does not exhibit magnetic long-range order
even at zero temperature.
Another critical observation is that the spin-spin correlation function in the ground state is
finite only between nearest neighbor sites Baskaran et al. (2007),
suggesting that the spin-spin correlation length remains short-ranged even at finite temperatures.
Since the equation of motion for the Green’s function Zubarev (1960) relies on
finite-range correlation functions, it is well-suited for exploring
the finite temperature properties of the Kitaev model.
Additionally, this approach aligns with the high-temperature expansion Kondo and Yamaji (1972),
enhancing the accuracy of results at higher temperatures.
Physically, our spin Green’s function describes the propagation of a pair of fluxes.
Our results demonstrate that the computed temperature dependence of the correlation functions
yields a value at zero temperature that is quite close to the exact value.
Furthermore, we present several exact results regarding spin-spin correlation functions
at finite temperatures.
The Hamiltonian of the isotropic Kitaev model on the honeycomb lattice is given by Kitaev (2006):
(1)
where is the -component of the spin-1/2 operator at site ,
and we consider the ferromagnetic Kitaev coupling .
The summation of represents
the sum over the nearest neighbor sites connected by a bond,
as shown in Fig. 1.
In the honeycomb lattice, each unit cell comprises two sites corresponding to the A and B sublattices,
as illustrated in Fig. 1.
Additionally, Fig. 1 shows a plaquette consisting of six sites.
For this plaquette, we define the following plaquette operator Kitaev (2006):
(2)
where represents the -component of the Pauli matrix at site .
can be expressed as
in terms of two types of Majorana fermions Kitaev (2006),
where this equality holds by restricting the extended Hilbert space of Majorana fermions
to the physical Hilbert space of the original spin operators.
The product of two Majorana fermions, and ,
residing at nearest neighbor sites
forms a gauge field.
In this formulation, represents the gauge flux.
Meanwhile, the Majorana fermions are itinerant under these gauge fields.
Figure 1:
(Color online)
Kitaev model on the honeycomb lattice, showing two interpenetrating sublattices, A and B.
Sublattice A is represented by red circles, while sublattice B is represented by blue circles.
The direction-dependent interactions in Eq. (1) are labeled as , , and .
The lattice vectors are denoted as
and ,
where is the nearest neighbor distance.
The plaquette operator for plaquette is defined by Eq. (2).
An intriguing aspect of the Kitaev model is that it has been rigorously demonstrated
that its ground state is a spin liquid state without long-range magnetic order.
Because of the absence of the magnetic long-range order,
we may apply SU(2) invariant formalsim of the Green’s function methodKondo and Yamaji (1972).
We define the Matsubara Green’s function:
(3)
Here represents the imaginary time
and represents the imaginary time ordering operator.
The notation represents
the -th component of the spin operator
for the -th sublattice within the -th unit cell.
Before delving into the analysis of the Green’s function,
we first discuss its physical meaning.
Specifically, we consider the Green’s function (3)
with , , and .
This Green’s function describes a process where the flux values
at adjacent hexagon plaquettes are flipped at imaginary time
and then flipped again at imaginary time .
This process is schematically illustrated in Fig. 2.
We observe that any flipped flux values must be flipped again;
otherwise, the thermal average will vanish.
Figure 2:
(Color online)
The physical meaning of the Green’s function (3)
for the case of , , and ,
with the -th unit cell shifted from the -th unit cell by .
In the left panel, the red circle denotes the A sublattice in the -th unit cell.
At imaginary time , the flux values in plaquettes and
are flipped by the spin operator , as indicated by the filled hexagons.
In the right panel, the flipped flux values
are flipped again at imaginary time by the spin operator .
Denoting the inverse temperature by , where is the temperature,
and setting the Boltzmann constant to 1,
the Fourier representation of Eq. (3)
in the Matsubara frequency, with being an integer,
is given by
(4)
To find the expression for the Green’s function,
we first take the derivative of Eq. (3)
with respect to and then perform the Fourier transform.
This process yields
(5)
Now we have a new Green’s function, represented by the first term on the right-hand side.
The equation of motion for this Green’s function is given by
(6)
We first compute ,
and then compute .
From the latter calculation, terms like
,
,
etc., appear.
Instead of considering the equation of motion for such terms,
we approximate them as the product of a correlation function
and a Green’s function with a reduced number of spins,
using the so-called Tyablikov decoupling Tyablikov and Bonch-Bruevich (1962),
as follows:
(7)
(8)
where is a correction parameter in this approximationKondo and Yamaji (1972)
to be determined from the constraint.
The approximation is more accurate when one applies
this decoupling scheme at Green’s functions with more spins
or in higher spatial dimensionsSasamoto and Morinari (2024).
Here, the correlation functions are defined by
(9)
with being the coordinate vector of the -th unit cell.
After a tedious but straightforward calculation followed by a Fourier transform to momentum space, we obtain
(10)
The matrix form of the Green’s function, ,
is given by:
(11)
The components of the matrices and are:
(12)
(13)
(14)
(15)
and
(16)
respectively.
We obtain a similar formula for
and .
However, due to the symmetry of the honeycomb lattice,
we do not need these for the isotropic case.
In our Green’s function approach, we determine the correlation functions in a self-consistent manner.
The correlation functions are expressed in terms of the Green’s function as
(23)
where is the number of unit cells.
In the numerical calculations below, we take .
There are relationships between the correlation functions due to the absence of
magnetic long-range order and any symmetry breaking.
By utilizing these symmetries, we define
(24)
(25)
(26)
The self-consistent equations to be solved are then given by
(27)
(28)
(29)
(30)
where .
The last equation is obtained from
.
and are given by
(31)
(32)
The temperature dependencies of , , and are shown
in the left panel of Fig. 3.
The value of converges to 0.4859
as approaches zero, closely approximating the exact valueBaskaran et al. (2007) of
.
At high temperatures, the behavior of aligns well with the high-temperature expansion result,
expressed as .
Meanwhile, and remain zero
across all temperatures, a finding rigorously confirmedBaskaran et al. (2007) at
and consistent even at finite temperatures.
The vanishing of and can be understood as follows.
Consider, for instance, ,
which corresponds to .
In this correlation function, the spin operator flips the flux values
of the adjacent hexagons that share the -bond emanating from the B sublattice in the 0-th unit cell.
Similarly, the spin operator flips the flux values of the adjacent hexagons
that share the -bond emanating from the A sublattice in the 0-th unit cell.
Since the hexagons affected by and are different
and the Hamiltonian does not alter the flux values,
the thermal average of their product is identically zero.
This reasoning also applies to the other correlation functions,
highlighting a unique characteristic of the Kitaev model.
The same argument leads to
for .
The flux values flipped by at imaginary time 0
cannot be flipped again by at imaginary time .
We note that this result is exact.
From this observation, we may restrict the two-spin Green’s function
to the form of Eq. (3).
We also note that the vanishing of and
results in forming a flat band,
given by .
In the right panel of Fig. 3,
we present the temperature dependence of .
As temperature increases, approaches one,
indicating that the decoupling approximation in Eqs. (7) and (8)
becomes exact without the need for the correction parameter .
However, deviations of from one at lower temperatures suggest
the necessity of this correction parameter in the equations.
Figure 3:
(Color online)
Temperature dependence of the correlation functions and the correction parameter .
Left panel: The temperature dependencies of , , and are shown.
The value of approaches the exact theoretical valueBaskaran et al. (2007) of 0.5249 at
and
aligns with high-temperature expansion result, which is indicated by the dashed line,
at elevated temperatures,
while and remain zero across the temperature range.
Right panel: The variation of the parameter with temperature,
demonstrating the exactness of the decoupling approximation at high temperatures
(where approaches 1) and the necessity of this correction parameter
at lower temperatures, where deviates from 1.
From the temperature dependence of , the internal energy can be computed using the relation
(33)
We compared the temperature dependence of the energy with the results shown in Fig. 15(a)
of Ref. Motome and Nasu, 2020, as shown in Fig. 4(a).
We found an almost perfect match for with ,
but our energy values are slightly higher for .
This discrepancy likely originates from the error in the value at .
Although the relative error is
,
minor details and significant physics, such as the fractionalization of spins,
may be hidden within this discrepancy.
Figure 4 shows the temperature dependencies of the specific heat and entropy.
The specific heat is calculated from the temperature derivative of the internal energy
and compared with the high-temperature expansion (HTE) result,
.
The entropy is computed using the formula:
(34)
where and is a sufficiently large value
at which the Green’s function result for the specific heat
closely approximates the HTE result (here, we take ).
The specific heat exhibits a single broad peak around ,
consistent with mean field calculations Saheli et al. (2024).
We likely fail to observe the low-temperature peak around reported
in Ref. Nasu et al., 2015 due to the discrepancy mentioned above.
The entropy indicates the presence of residual entropy,
but if fractionalization were captured, this residual entropy should vanish,
as it has been rigorously shown that there are no fluxes
in the ground state and the system must satisfy the third law of thermodynamics.
Figure 4:
(Color online)
Temperature dependencies of (a) the energy , (b) specific heat, and (c) entropy.
The red circles in (a) are data taken from Ref. Motome and Nasu, 2020.
The specific heat, calculated from the temperature derivative of the internal energy ,
is compared with the high-temperature expansion result .
It displays a broad peak around without any lower-temperature peaks.
The entropy is computed based on Eq. (34).
In conclusion, we have investigated the Kitaev model at finite temperatures
using a Green’s function approach that maintains SU(2) symmetry.
Our computations of the temperature dependence of the correlation functions revealed
that the nearest neighbor spin-spin correlation functions closely match the exact values
at zero temperature.
Additionally, we have presented several exact results concerning the spin Green’s function
and spin-spin correlation functions specific to the Kitaev model.
These findings enhance our understanding of the Kitaev model and provide a novel approach
to this model without relying on Majorana fermions.
This work opens up new avenues for exploring the dynamic properties of the Kitaev model
and its applications in the study of quantum spin liquids and topological quantum computing.
Acknowledgements.
The authors thank K. Harada and D. Sasamoto for helpful discussions.