This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

Field theoretical approach to spin models

Feng Liu School of Physics, Peking University, Beijing 100871, China Collaborative Innovation Center of Quantum Matter, Beijing, China    Zhenhao Fan School of Physics, Peking University, Beijing 100871, China Collaborative Innovation Center of Quantum Matter, Beijing, China    Zhipeng Sun School of Physics, Peking University, Beijing 100871, China Collaborative Innovation Center of Quantum Matter, Beijing, China    Xuzong Chen School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, People’s Republic of China    Dingping Li lidp@pku.edu.cn School of Physics, Peking University, Beijing 100871, China Collaborative Innovation Center of Quantum Matter, Beijing, China
Abstract

We developed a systematic non-perturbative method base on Dyson-Schwinger theory and the Φ\Phi-derivable theory for Ising model at broken phase. Based on these methods, we obtain critical temperature and spin spin correlation beyond mean field theory. The spectrum of Green function obtained from our methods become gapless at critical point, so the susceptibility become divergent at TcT_{c}. The critical temperature of Ising model obtained from this method is fairly good in comparison with other non-cluster methods. It is straightforward to extend this method to more complicate spin models for example with continue symmetry.

I Introduction

The Ising model is the simplest spin model, and it has been studied for many years. Rigorous solutions have been given by Ising for the one-dimensional case[1] and by Onsager in the case of the two-dimensional square lattice[2], which provide a benchmark for other approximate method. There are several techniques for solving such kind statistical models, such as Monte Carlo simulations, mean-field-type methods, cluster mean-field methods, and renormalization-group methods (RG). Although RG methods have a good description of system in the vicinity of the critical point, it neither predicts the behavior of the system in the area far away from critical point nor give the phase transition temperature. Many attempts to calculate quantities in the statistical systems beyond the mean field theory have been made in recent years [3].

The mean-field (MF) approach, base on one-site approximation, began from Pierre Weiss [4], which gives the well-know solution for the critical temperature of the transition from symmetry phase to broken phase Tc/J=zT_{c}/J=z, where zz is the number of nearest neighbors and JJ is the coupling strength. Wysin and Kaplan [5] made a significant improvement to the MF in a simple way. Their “self-consistent correlated molecular-field theory” (SCCF) take into account the impact of the spin state of the central spin on the effective field of neighboring spins. They obtained more accurate critical temperature compared with some other methods, such as MF or Bethe-Peierls-Weiss (BPW) approximation (often called Bethe approximation in short)[6, 7, 8]. Zhuravlev [9] introduce “screened magnetic field” approximation which further improves the result of the SCCF method and allows one to obtain critical temperature with better accuracy. Beyond on-site approximation, BPW approach can be considered as the simplest case of cluster approach. Base on cluster idea, many new approximations have been proposed, such as “correlated cluster mean-field” (CCMF) theory introduced by Yamamoto [10], “effective correlated mean-field approach” (ECMF) developed by Viana [11]. For a large enough cluster, this approach can give a good estimate for critical temperature.

In this work, we use two kind field theoretical methods to treat Ising model, which is based on Schwinger-Dyson equations (1PI) approach and two-particle irreducible (2PI) Φ\Phi-derivable theory [12, 13, 14], respectively. Within the approximations, both methods do not necessarily guarantee the identity which respects the fluctuation-dissipation theorem, thus the susceptibility of Ising model obtained from above methods do not diverge at critical temperature. Fortunately, for 1PI approach, a general method to preserve the identity in an approximation scheme was developed long time ago [15] in the context of field theory as covariant Gaussian approximation(CGA) to solve unrelated problems in quantum field theory and superfluidity. For 2PI method, Van Hees and Knoll developed an improved Φ\Phi-derivable theory which preserve the identity by approximating the 1PI functional with the 2PI functional[16]. After modified procedure mentioned above, the susceptibility of Ising model diverges at critical temperature for both case. With a relatively low cost, the critical temperature TcT_{c} obtained from them is quite accurately comparing with other non-cluster method. More importantly, since our methods base on Hubbard-Stratonovich transformation, it is straightforward to extend these methods to more complicate models, like XY model, Heisenberg model, with preserving the identity for the fluctuation-dissipation theorem and Ward-Takahashi identity (WTI) for models with continue symmetries, which are crucial for the description of such systems.

The paper is organized as following. In Sec.II and Sec.III, we derive the equations for Ising model base on 1PI approach and the Φ\Phi-derivable theory respectively. Numerical results including the critical temperature, susceptibility and Green’s function are given in Sec.IV. Finally, we give a summary in Sec.V.

II 1PI formalism

The Hamiltonian of the Ising model in a two-dimension square lattice can be expressed as

H=12i,jJi,jσiσjiσihiH=-\frac{1}{2}\sum_{i,j}J_{i,j}\sigma_{i}\sigma_{j}-\sum_{i}\sigma_{i}h_{i} (1)

where Ji,jJ_{i,j} is the coupling strength between ii and jj, which equal to JJ for any two nearest neighboring sites, otherwise equal to zero. The spin σi\sigma_{i} takes either +1+1 or 1-1.

After Hubbard-Stratonovich transformation, the grand-canonical partition function of this system can be written as path integral over continue variable parameter ϕ\phi [17]:

Z[h]={σi}exp[βH]=D[ϕ]exp(β2i,jJi,j1(ϕiϕjhiϕjϕihj+hihj)+nln[cosh[βϕn]])Z[h]=\sum_{\{\sigma_{i}\}}\exp\left[-\beta H\right]=\int D[\phi]\exp\left(-\frac{\beta}{2}\sum_{i,j}J^{-1}_{i,j}\left(\phi_{i}\phi_{j}-h_{i}\phi_{j}-\phi_{i}h_{j}+h_{i}h_{j}\right)+\sum_{n}\ln[\cosh[\beta\phi_{n}]]\right) (2)

Based on the above formula, we can get the relationship between σ\sigma and ϕ\phi for zero-external field case i.e. hi=0h_{i}=0 for each ii.

σm=iJm,i1ϕi\left<\sigma_{m}\right>=\sum_{i}J^{-1}_{m,i}\left<\phi_{i}\right> (3)
σmσnc=i,jJm,i1Jn,j1ϕiϕjcβ1Jm,n1\left<\sigma_{m}\sigma_{n}\right>_{c}=\sum_{i,j}J^{-1}_{m,i}J^{-1}_{n,j}\left<\phi_{i}\phi_{j}\right>_{c}-\beta^{-1}J^{-1}_{m,n} (4)

here we have used the property Ji,j=Jj,iJ_{i,j}=J_{j,i}, thus Ji,j1=Jj,i1J^{-1}_{i,j}=J^{-1}_{j,i}.

For zero-external field case, we add a new auxiliary source HiH_{i} to generate Green function. This auxiliary source has to be set to zero at the end of the calculation. The partition function can be rewritten as:

Z[H]=D[ϕ]exp(β12i,jJij1ϕiϕj+nln[cosh[βϕn]]iHiϕi)Z\left[H\right]=\int D\left[\phi\right]\exp\left(-\beta\frac{1}{2}\sum_{i,j}J^{-1}_{{i}{j}}\phi_{{i}}\phi_{{j}}+\sum_{{n}}\ln\left[\cosh\left[\beta\phi_{{n}}\right]\right]-\sum_{i}H_{{i}}\phi_{{i}}\right) (5)

The generating functional WW for connected diagrams reads W[H]=lnZ[H]W\left[H\right]=-\ln Z\left[H\right], From this we can define the mean field and the connected Green’s function:

φi=δW[H]δHi=ϕi\varphi_{{i}}=\frac{\delta W\left[H\right]}{\delta H_{{i}}}=\left<\phi_{{i}}\right> (6)
Gij=δ2W[H]δHiδHj=ϕiϕjϕiϕjG_{ij}=-\frac{\delta^{2}W[H]}{\delta H_{i}\delta H_{j}}=\left<\phi_{i}\phi_{j}\right>-\left<\phi_{i}\right>\left<\phi_{j}\right> (7)

By a functional Legendre transformation on φ\varphi one obtains the effective action:

Γ[φ]=W[H]iHiφi\Gamma\left[\varphi\right]=W\left[H\right]-\sum_{i}H_{{i}}\varphi_{{i}} (8)

The first equation in the series of the DS equations, i.e., the off-shell(H0H\neq 0) “shift” equation is

0=Hm+βiJim1φiβtanh[βϕm]0=H_{{m}}+\beta\sum_{i}J^{-1}_{{i}{m}}\varphi_{{i}}-\beta\left<\tanh\left[\beta\phi_{{m}}\right]\right> (9)

Higher-order DS equations in the cumulant form are obtained by differentiating the equation above. The second DS equation is

Γij=δHiδφj=βJij1βδtanh[βϕi]δφj\Gamma_{ij}=-\frac{\delta H_{i}}{\delta\varphi_{j}}=\beta J^{-1}_{{ij}}-\beta\frac{\delta\left<\tanh\left[\beta\phi_{{i}}\right]\right>}{\delta\varphi_{j}} (10)

Γij\Gamma_{ij} is the inverse of GijG_{ij} since

nGinΓnj=nδ2W[H]δHiδHnδHnδφj=nδHnδφjδφiδHn=δij\sum_{n}G_{in}\Gamma_{nj}=\sum_{n}\frac{\delta^{2}W[H]}{\delta H_{i}\delta H_{n}}\frac{\delta H_{n}}{\delta\varphi_{j}}=\sum_{n}\frac{\delta H_{n}}{\delta\varphi_{j}}\frac{\delta\varphi_{i}}{\delta H_{n}}=\delta_{ij} (11)

Consider leading correction to mean field theory, the tanh[βϕi]\left<\tanh\left[\beta\phi_{{i}}\right]\right> can be expanded as

tanh[βϕi]=tanh[βφi]β2sech[βφi]2tanh[βφi]Gii\left<\tanh[\beta\phi_{i}]\right>=\tanh[\beta\varphi_{i}]-\beta^{2}\operatorname{sech}\left[\beta\varphi_{i}\right]^{2}\tanh\left[\beta\varphi_{i}\right]G_{ii} (12)

Substitute Eq(12) into Eq (9) and (10), and neglect the derivative of GiiG_{ii} with respect to φj\varphi_{j} according to leading order approximation. Now we could set H=0H=0, for homogeneous system we have φi=φ\varphi_{i}=\varphi for any site ii. Thus, we could express above equations in momentum space using Fourier transformation Gij=α=x,yππd2k(2π)2exp(ikα(iαjα))G(k)G_{ij}=\sum_{\alpha=x,y}\int^{\pi}_{-\pi}\frac{d^{2}k}{(2\pi)^{2}}\exp(-ik_{\alpha}(i_{\alpha}-j_{\alpha}))G(k):

0=βφ4Jβtanh[βφ]+β3Giisech[βφ]2tanh[βφ]0=\frac{\beta\varphi}{4J}-\beta\tanh\left[\beta\varphi\right]+\beta^{3}G_{ii}\operatorname{sech}\left[\beta\varphi\right]^{2}\tanh\left[\beta\varphi\right] (13)
Γ(k)=\displaystyle\Gamma(k)= βJ1(k)β2sech[βφ]2\displaystyle\beta J^{-1}(k)-\beta^{2}\operatorname{sech}\left[\beta\varphi\right]^{2} (14)
+β4Gii(sech[βφ]42sech[βφ]2tanh[βφ]2)\displaystyle+\beta^{4}G_{ii}\left(\operatorname{sech}\left[\beta\varphi\right]^{4}-2\operatorname{sech}\left[\beta\varphi\right]^{2}\tanh\left[\beta\varphi\right]^{2}\right)

Where J1(k)=[2J(cos(kx)+cos(ky))]1J^{-1}(k)=\left[2J\left(\cos(k_{x})+\cos(k_{y})\right)\right]^{-1}, Gii=ππd2k(2π)2G(k)=ππd2k(2π)2Γ1(k)G_{ii}=\int^{\pi}_{-\pi}\frac{d^{2}k}{(2\pi)^{2}}\ G(k)=\int^{\pi}_{-\pi}\frac{d^{2}k}{(2\pi)^{2}}\Gamma^{-1}(k). Notice GiiG_{ii} is not a function of ii due to translation invariance of system. Then we can get φ\varphi and GG at fixed β\beta and JJ with Eq(13) and Eq(14).

The susceptibility obtained from above calculation do not diverge at phase transition temperature since the truncation applied to the formula (12) and (14) will break the fluctuation-dissipation theorem. It’s not surprising since such method do not respect also WTI for systems with continue symmetry and there isn’t Goldstone modes for broken phase [18].

A general method to preserve both identities in an approximation scheme was developed long time ago [15, 19], in the context of field theory as the covariant Gaussian approximation(CGA). In this improved method, the full covariant correlator is defined by functional derivative:

(Gfull)ij1\displaystyle(G_{\text{full}})^{-1}_{ij} =δHiδφj\displaystyle=-\frac{\delta H_{i}}{\delta\varphi_{j}} (15)
=Γij+β3Λiijsech[βφi]2tanh[βφi]\displaystyle=\Gamma_{ij}+\beta^{3}\Lambda_{iij}\operatorname{sech}\left[\beta\varphi_{i}\right]^{2}\tanh\left[\beta\varphi_{i}\right]

where

Λiij=δGiiδφj\Lambda_{iij}=\frac{\delta G_{ii}}{\delta\varphi_{j}} (16)

which can be obtained by taking the derivative of

δij=nGinΓnj\delta_{ij}=\sum_{n}G_{in}\Gamma_{nj} (17)

we get

Λiim=k,jGikδΓkjδφmGji\Lambda_{iim}=-\sum_{k,j}G_{ik}\frac{\delta\Gamma_{kj}}{\delta\varphi_{m}}G_{ji} (18)

here

δΓ(i,j)δφm=\displaystyle\frac{\delta\Gamma(i,j)}{\delta\varphi_{m}}= β2δ(sech[βφi]2)δφmδij+β3Giiδ(βsech[βφi]42βsech[βφi]2tanh[βφi]2)δφmδij\displaystyle-\beta^{2}\frac{\delta(\text{sech}\left[\beta\varphi_{{i}}\right]^{2})}{\delta\varphi_{m}}\delta_{{i}{j}}+\beta^{3}G_{ii}\frac{\delta\left(\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{4}-2\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{2}\tanh\left[\beta\varphi_{{i}}\right]^{2}\right)}{\delta\varphi_{m}}\delta_{{i}{j}} (19)
+β3Λiim(βsech[βφi]42βsech[βφi]2tanh[βφi]2)δij\displaystyle+\beta^{3}\Lambda_{iim}\left(\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{4}-2\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{2}\tanh\left[\beta\varphi_{{i}}\right]^{2}\right)\delta_{{i}{j}}

These equations are actually the Bethe-Salpeter equation. After Fourier transformation, We can get full covariant correlator:

Gfull1(k)=Γ(k)+β3Λ(k)sech[βφ]2tanh[βφ]G^{-1}_{\text{full}}(k)=\Gamma(k)+\beta^{3}\Lambda(k)\operatorname{sech}\left[\beta\varphi\right]^{2}\tanh\left[\beta\varphi\right] (20)

where Λ(k)\Lambda(k) is the Fourier transform of Λiim\Lambda_{iim}

Λiim=α=x,yππd2k(2π)2exp(ikα(iαmα))Λ(k)\Lambda_{iim}=\sum_{\alpha=x,y}\int^{\pi}_{-\pi}\frac{d^{2}k}{(2\pi)^{2}}\exp(-ik_{\alpha}(i_{\alpha}-m_{\alpha}))\Lambda(k) (21)

which can be solved by the Bethe-Salpeter equation(18).

Λ(k)=I(k)[(2β3sech[βφ]2tanh[βφ])+β3Gii(8β2sech[βφ]4tanh[βφ]+4β2sech[βφ]2tanh[βφ]3))]1+I(k)(β4sech[βφ]42β4sech[βφ]2tanh[βφ]2)\Lambda(k)=-\frac{I(k)[\left(2\beta^{3}\operatorname{sech}[\beta\varphi]^{2}\tanh[\beta\varphi]\right)+\beta^{3}G_{ii}\left(-8\beta^{2}\operatorname{sech}[\beta\varphi]^{4}\tanh[\beta\varphi]+4\beta^{2}\operatorname{sech}[\beta\varphi]^{2}\tanh[\beta\varphi]^{3}\right))]}{1+I(k)\left(\beta^{4}\operatorname{sech}\left[\beta\varphi\right]^{4}-2\beta^{4}\operatorname{sech}\left[\beta\varphi\right]^{2}\tanh\left[\beta\varphi\right]^{2}\right)} (22)

where I(k)I(k) is defined as

I(k)=1(2π)2ππd2pG(k+p)G(p)I(k)=\frac{1}{(2\pi)^{2}}\int^{\pi}_{-\pi}d^{2}pG(k+p)G(p) (23)

Substituting Eq(22) back to Eq(20), we can get full covariant Green’s function. And the susceptibility obtained by this method will diverge at phase transition point.

III 2PI formalism

The Φ\Phi-derivable approximation possesses several intriguing features. Approximations of this kind are the so-called conserving approximations [13, 16], which means it is consistent with the conservation laws that follow from the Noether’s theorem (current conservation, total momentum, total energy, etc). The usual thermodynamic relations between pressure, energy density and entropy hold exactly within this approximation.

In addition to the usually introduced one-point auxiliary external source a two-point auxiliary external source is also included in 2PI method. The corresponding grand-canonical partition function is defined within the path integral formalism as

Z[H,B]=D[ϕ]exp(S[ϕ]iHiϕi12i,jBijϕiϕj)Z\left[H,B\right]=\int D\left[\phi\right]\exp\left(-S[\phi]-\sum_{i}H_{{i}}\phi_{{i}}-\frac{1}{2}\sum_{i,j}B_{ij}\phi_{i}\phi_{j}\right) (24)

where

S[ϕ]=β12i,jJij1ϕiϕjnln[cosh[βϕn]]S[\phi]=\beta\frac{1}{2}\sum_{i,j}J^{-1}_{{i}{j}}\phi_{{i}}\phi_{{j}}-\sum_{{n}}\ln\left[\cosh\left[\beta\phi_{{n}}\right]\right] (25)

The generating functional of connected Green function is defined as

W[H,B]=lnZ[H,B]W[H,B]=-\ln Z[H,B] (26)

The 2PI functional Γ[φ,G]\Gamma[\varphi,G] is defined by the double Legendre transformation and can be written in the form

Γ[φ,G]=S[φ]+12Tr[D1(GD)]+12Trln(G1)+Φ[φ,G]\Gamma[\varphi,G]=S[\varphi]+\frac{1}{2}\operatorname{Tr}[D^{-1}\left(G-D\right)]+\frac{1}{2}\operatorname{Tr}\ln(G^{-1})+\Phi[\varphi,G] (27)

where (D1)ij=δ2S[φ]δφiδφj\left(D^{-1}\right)_{ij}=\frac{\delta^{2}S[\varphi]}{\delta\varphi_{i}\delta\varphi_{j}} and φi=δW[H,B]δHi=ϕi\varphi_{i}=\frac{\delta W[H,B]}{\delta H_{i}}=\left<\phi_{i}\right>, and Gij=ϕiϕjϕiϕjG_{ij}=\left<\phi_{i}\phi_{j}\right>-\left<\phi_{i}\right>\left<\phi_{j}\right>. Φ[φ,G]\Phi[\varphi,G] can be calculated approximately with well-known standard techniques [16]. We generalize the work [16] by Van Hees and J. Knoll to arbitrary interaction form, and we find the lowest order approximation of Φ[φ,G]\Phi[\varphi,G] can be demonstrated to be equal to:

Φ[φ,G]=18iS(4)[φi]GiiGii\Phi[\varphi,G]=\frac{1}{8}\sum_{i}S^{(4)}[\varphi_{i}]G_{ii}G_{ii} (28)

here S(4)[φ]S^{(4)}[\varphi] stands for the fourth derivative of S(4)[φ]S^{(4)}[\varphi]. The above expression will allow us obtaining the results with O(N) Linear-Sigma model in Ref. [16], but for our case:

Φ[φ,G]=β44i(Gii)2(sech[βφi]42sech[βφi]2tanh[βφi]2)\Phi[\varphi,G]=\frac{\beta^{4}}{4}\sum_{i}(G_{ii})^{2}(\operatorname{sech}[\beta\varphi_{i}]^{4}-2\operatorname{sech}[\beta\varphi_{i}]^{2}\tanh[\beta\varphi_{i}]^{2}) (29)

Then the equations are now given by the fact that we wish to study the theory with vanishing auxiliary sources HH and BB.

δΓ[φ,G]δφi=Hi12mBimφm12mBmiφm=!0\frac{\delta\Gamma[\varphi,G]}{\delta\varphi_{i}}=-H_{i}-\frac{1}{2}\sum_{m}B_{im}\varphi_{m}-\frac{1}{2}\sum_{m}B_{mi}\varphi_{m}\overset{!}{=}0 (30)
δΓ[φ,G]δGij=12Bij=!0\frac{\delta\Gamma[\varphi,G]}{\delta G_{ij}}=-\frac{1}{2}B_{ij}\overset{!}{=}0 (31)

Then from Eq(30) and Eq(31) we get the “shift” equation and gap equation:

0=\displaystyle 0= βjJij1φjβtanh[βφi]+Gii(β3sech[βφi]2tanh[βφi])\displaystyle\beta\sum_{j}J_{ij}^{-1}\varphi_{j}-\beta\tanh[\beta\varphi_{i}]+G_{ii}\left(\beta^{3}\text{sech}[\beta\varphi_{i}]^{2}\tanh[\beta\varphi_{i}]\right) (32)
β5GiiGii(2sech[βφi]4tanh[βφi]sech[βφi]2tanh[βφi]3)\displaystyle-\beta^{5}G_{ii}G_{ii}(2\text{sech}[\beta\varphi_{i}]^{4}\tanh[\beta\varphi_{i}]-\text{sech}[\beta\varphi_{i}]^{2}\tanh[\beta\varphi_{i}]^{3})
Gij1=βJij1δij(β2sech[βφi]2)+δijβ4Gii(sech[βφi]42sech[βφi]2tanh[βφi]2)G_{ij}^{-1}=\beta J_{ij}^{-1}-\delta_{ij}(\beta^{2}\text{sech}[\beta\varphi_{i}]^{2})+\delta_{ij}\beta^{4}G_{ii}(\text{sech}[\beta\varphi_{i}]^{4}-2\text{sech}[\beta\varphi_{i}]^{2}\tanh[\beta\varphi_{i}]^{2}) (33)

and in Fourier space the equations reads:

0=\displaystyle 0= βφ4Jβtanh[βφ]+β3Giisech[βφ]2tanh[βφ]\displaystyle\frac{\beta\varphi}{4J}-\beta\tanh\left[\beta\varphi\right]+\beta^{3}G_{ii}\operatorname{sech}\left[\beta\varphi\right]^{2}\tanh\left[\beta\varphi\right] (34)
β5GiiGii(2sech[βφ]4tanh[βφ]sech[βφ]2tanh[βφ]3)\displaystyle-\beta^{5}G_{ii}G_{ii}(2\operatorname{sech}[\beta\varphi]^{4}\tanh[\beta\varphi]-\operatorname{sech}[\beta\varphi]^{2}\tanh[\beta\varphi]^{3})
G1(k)=\displaystyle G^{-1}(k)= βJ1(k)β2sech[βφ]2\displaystyle\beta J^{-1}(k)-\beta^{2}\operatorname{sech}\left[\beta\varphi\right]^{2} (35)
+β4Gii(sech[βφ]42sech[βφ]2tanh[βφ]2)\displaystyle+\beta^{4}G_{ii}\left(\operatorname{sech}\left[\beta\varphi\right]^{4}-2\operatorname{sech}\left[\beta\varphi\right]^{2}\tanh\left[\beta\varphi\right]^{2}\right)

we can get φ\varphi and GG from Eq(34) and Eq(35) at fixed JJ and β\beta. In general the solution of Eq(34) and Eq(35) do not respect symmetry of system for truncated Φ[φ,G]\Phi[\varphi,G]. In order to cure this problem we supplement the 2PI approximation scheme by an additional effective action defined with respect to the self-consistent solution as [16]

Γ[φ]=Γ[φ,G~[φ]]\Gamma[\varphi]=\Gamma[\varphi,\tilde{G}[\varphi]] (36)

where G~[φ]\tilde{G}[\varphi] is defined by

δΓ[φ,G]δG|G=G~[φ]=0\left.\frac{\delta\Gamma[\varphi,G]}{\delta G}\right|_{G=\tilde{G}[\varphi]}=0

We can define external Green’s function by the usual definition as double derivatives of Γ[φ]\Gamma[\varphi] as

(Gext)ij1=δ2Γ[φ]δφiδφj=Gij1+δΦ[φ,G]δφiδφj+m,nδ2Γ[φ,G]δφiδGmnΛmnj(G_{\text{ext}})^{-1}_{ij}=\frac{\delta^{2}\Gamma[\varphi]}{\delta\varphi_{i}\delta\varphi_{j}}=G_{ij}^{-1}+\frac{\delta\Phi[\varphi,G]}{\delta\varphi_{i}\delta\varphi_{j}}+\sum_{m,n}\frac{\delta^{2}\Gamma[\varphi,G]}{\delta\varphi_{i}\delta G_{mn}}\Lambda_{mnj} (37)

where Λmnj=δGmnδφj\Lambda_{mnj}=\frac{\delta G_{mn}}{\delta\varphi_{j}}. And

δ2Γ[φ,G]δφiδGmn=\displaystyle\frac{\delta^{2}\Gamma[\varphi,G]}{\delta\varphi_{i}\delta G_{mn}}= δinδmn[(β3sech[βφi]2tanh[βφi])\displaystyle\delta_{in}\delta_{mn}\left[(\beta^{3}\operatorname{sech}[\beta\varphi_{i}]^{2}\tanh[\beta\varphi_{i}])\right. (38)
Gmm(4β5sech[βφi]4tanh[βφi]\displaystyle-G_{mm}\left(4\beta^{5}\operatorname{sech}[\beta\varphi_{i}]^{4}\tanh[\beta\varphi_{i}]\right.
2β5sech[βφi]2tanh[βφi]3)]\displaystyle\left.\left.-2\beta^{5}\operatorname{sech}[\beta\varphi_{i}]^{2}\tanh[\beta\varphi_{i}]^{3}\right)\right]

due to the property of Kronecker delta only Λ\Lambda’s whose first and second indices are coincident contributes to Eq(37). Λmmj\Lambda_{mmj} can be obtained by solving Bathe-Salpeter equation:

Λiim=k,jGikδΓkjδφmGji\Lambda_{iim}=-\sum_{k,j}G_{ik}\frac{\delta\Gamma_{kj}}{\delta\varphi_{m}}G_{ji} (39)

here

δΓijδφm=\displaystyle\frac{\delta\Gamma_{ij}}{\delta\varphi_{m}}= δδφm(δ2Γ[φ,G]δφiδφj)G=G~[φ]\displaystyle\frac{\delta}{\delta\varphi_{m}}\left(\frac{\delta^{2}\Gamma[\varphi,G]}{\delta\varphi_{i}\delta\varphi_{j}}\right)_{G=\tilde{G}[\varphi]} (40)
=\displaystyle= β2δsech[βφi]2δφmδij+β3Giiδ(βsech[βφi]42βsech[βφi]2tanh[βφi]2)δφmδij\displaystyle-\beta^{2}\frac{\delta\text{sech}\left[\beta\varphi_{{i}}\right]^{2}}{\delta\varphi_{m}}\delta_{{i}{j}}+\beta^{3}G_{ii}\frac{\delta\left(\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{4}-2\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{2}\tanh\left[\beta\varphi_{{i}}\right]^{2}\right)}{\delta\varphi_{m}}\delta_{{i}{j}}
+β3Λiim(βsech[βφi]42βsech[βφi]2tanh[βφi]2)δij\displaystyle+\beta^{3}\Lambda_{iim}\left(\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{4}-2\beta\text{sech}\left[\beta\varphi_{{i}}\right]^{2}\tanh\left[\beta\varphi_{{i}}\right]^{2}\right)\delta_{{i}{j}}

In Fourier space the external Green’s function can be written as

Gext1(k)=\displaystyle G^{-1}_{\text{ext}}(k)= G1(k)+[(β3sech[βφ]2tanh[βφ])\displaystyle G^{-1}(k)+\left[(\beta^{3}\operatorname{sech}[\beta\varphi]^{2}\tanh[\beta\varphi])\right. (41)
Gii(4β5sech[βφ]4tanh[βφ]2β5sech[βφ]2tanh[βφ]3)]Λ(k)\displaystyle\left.-G_{ii}\left(4\beta^{5}\operatorname{sech}[\beta\varphi]^{4}\tanh[\beta\varphi]-2\beta^{5}\operatorname{sech}[\beta\varphi]^{2}\tanh[\beta\varphi]^{3}\right)\right]\Lambda(k)
β6GiiGii[2sech6(βφ)11sech4(βφ)tanh2(βφ)+2sech2(βφ)tanh4(βφ)]\displaystyle-\beta^{6}G_{ii}G_{ii}[2\text{sech}^{6}(\beta\varphi)-11\text{sech}^{4}(\beta\varphi)\tanh^{2}(\beta\varphi)+2\text{sech}^{2}(\beta\varphi)\tanh^{4}(\beta\varphi)]

where Λ(k)\Lambda(k) of 2PI method has the same expression as Eq(22) obtained in 1PI approach.

IV Numerical results

We solve 1PI equations (13, 14), and 2PI equations (34, 35), respectively. The results are shown below in kB=J=1k_{B}=J=1 unit. φ\varphi as a function of temperature is presented in Fig.1. The equation ceases to have a solution at TcT_{c}, which is the end point of the broken phase and is actually the critical point of a second-order phase transition. For a given φ\varphi, we can get σ\langle\sigma\rangle from Eq(3), however it is not exactly equal to the spontaneous magnetization and needs corrections to get the exact σ\langle\sigma\rangle just like GG needs corrections to get the exact Green function.

Refer to caption
Figure 1: φ\varphi - TT for 1PI and 2PI approaches, Tc,1PI=2.4606T_{c,\text{1PI}}=2.4606 and terminated φ=3.15737\varphi=3.15737, Tc,2PI=2.4390T_{c,\text{2PI}}=2.4390 and φ=3.17532\varphi=3.17532
Table 1: TcT_{c} from various approximations and exact [20, 21, 5, 9] values.
Exact BPW SMF SCCF 1PI 2PI
2.26918\cdots 2.885 2.142 2.595 2.4606 2.4390

In Table 1 we display TcT_{c} from 1PI, 2PI, as well as the SCCF and SMF results [5, 9], together with either exact or approximate values from series estimates [20]. For the 2D square lattice Ising model, 1PI gives Tc=2.4606T_{c}=2.4606, and 2PI gives Tc=2.4390T_{c}=2.4390, both closer to the exact result than the BPW approximation and self-consistent correlated field method(SCCF).

According to fluctuation-dissipation theorem, we can get the susceptibility χij\chi_{ij} with following relation:

χij=δσiδhj=βσiσjβσiσj\chi_{ij}=\frac{\delta\langle\sigma_{i}\rangle}{\delta h_{j}}=\beta\langle\sigma_{i}\sigma_{j}\rangle-\beta\langle\sigma_{i}\rangle\langle\sigma_{j}\rangle (42)

The Fourier transform of the susceptibility χij\chi_{ij} is

χij=α=x,yππd2k(2π)2exp(ikα(iαjα))χ(k)\chi_{ij}=\sum_{\alpha=x,y}\int^{\pi}_{-\pi}\frac{d^{2}k}{(2\pi)^{2}}\exp(-ik_{\alpha}(i_{\alpha}-j_{\alpha}))\chi(k) (43)

The zero momentum susceptibility, which we denote as χ\chi, can be obtained from Eq(20, 41) with the following expression:

χ=\displaystyle\chi= βm(σmσ0σ02)=βm(Jm,i1J0,j1Gijβ1Jm,01)\displaystyle\beta\sum_{m}\left(\langle\sigma_{m}\sigma_{0}\rangle-\langle\sigma_{0}\rangle^{2}\right)=\beta\sum_{m}\left(J^{-1}_{m,i}J^{-1}_{0,j}G_{ij}-\beta^{-1}J^{-1}_{m,0}\right) (44)
=\displaystyle= β(J2(0)G(0)β1J1(0))\displaystyle\beta\left(J^{-2}(0)G(0)-\beta^{-1}J^{-1}(0)\right)

Here G(0)G(0) refers to Gfull(0)G_{\text{full}}(0) or Gext(0)G_{\text{ext}}(0), under 1PI or 2PI approximation, respectively. The numerical results are plotted in Fig.2, both susceptibility will diverge at its corresponding TcT_{c}.

Refer to caption
Figure 2: χ\chi - TT from 1PI, 2PI approaches and exact value from low temperature expansion series[22, 23].

We also compare results for finite size lattices (subject to periodic boundary conditions) with Monte Carlo results. And the results are illustrated in Fig.3, under two different temperatures. For the finite size lattice of N×NN\times N with periodic boundary conditions, the formula in the integration shall be substituted as

1(2π)2ππ𝑑kxππ𝑑kyf(kx,ky)1N2kx,kyf(kx,ky)\frac{1}{\left(2\pi\right)^{2}}\int_{-\pi}^{\pi}dk_{x}\int_{-\pi}^{\pi}dk_{y}f\left(k_{x},k_{y}\right)\rightarrow\frac{1}{N^{2}}\sum\limits_{k_{x},k_{y}}f\left(k_{x},k_{y}\right) (45)

where f(kx,ky)f\left(k_{x},k_{y}\right) is a periodic function of kxk_{x} and kyk_{y} (periodicity is 2π2\pi), and inside the summation, kx=2πNi,i=0,N1,ky=2πNj,j=0,N1k_{x}=\frac{2\pi}{N}i,i=0,N-1,k_{y}=\frac{2\pi}{N}j,j=0,N-1 due to periodic boundary conditions.

It can be seen that our results show a significant improvement compared to the Mean-field approach, especially for a temperature closer to TcT_{c}. We also include the correlation function obtained by BPW method (or Bethe approximation) in Fig. 3 for comparison. The BPW calculation of the correlation is highly non trivial and complex. It was only studied quite recently, see [24] and references therein. BPW method was particular useful for studying Ising model (also useful for Random Ising model), however the generalizations to other models are too complex. BPW result is better than the field theoretical result for the correlation function below the real critical temperature (Tc=2.26918T_{c}=2.26918), however the critical temperature obtained by BPW method is Tc=2.885T_{c}=2.885, worse than the critical temperature obtained by the field theoretical method (for 1PI,Tc=2.4606T_{c}=2.4606, and for 2PI, Tc=2.4390T_{c}=2.4390 ).

Although the deviation of our approach for the correlation function with respect to MC is slightly larger than BPW method below the critical temperature, however, the field theoretical approach can easily generalize to quantum many body theory, and can be also applied to complicated spin models with continue symmetry , for example XY model and Heisenberg model, etc.

Refer to caption
Refer to caption
Figure 3: The logarithm of Green’s function at (a)T=1.667T=1.667, (b)T=2.22T=2.22 for 101×101101\times 101 for square lattice along the x direction. The regular pentagons are results by Monte Carlo simulation, green squares are BPW results ([24] and references therein), red triangles and brown septangles are 1PI and 2PI results respectively. The results from mean-field approach are denoted by yellow hexagons.

V conclusion

In conclusion, we calculate the critical temperature, susceptibility and Green function nonperturbatively with two kind field theories developed by the Dyson-Schwinger theory and the Φ\Phi-derivable theory at leading order fluctuation correction. With relative low cost, both method are able to give fairly good predictions of TcT_{c} for the Ising model. In the area far away from critical point, the susceptibility and Green function obtained from our method is quite accurate comparing with exact solution. This is a systemic approach which can be used to treat more complex spin models. The methods will preserve fundamental identities, like the fluctuation dissipation relation and WTI identities for systems with continue symmetries, which are very crucial for giving consistent descriptions of such systems.

Acknowledgements.
We thank Professor Baruch Rosenstein for valuable discussions. The work is supported by National Natural Science Foundation of China, Grants No. 11674007, No. 91736208 and No. 11920101004. The work is also supported by High-performance Computing Platform of Peking University.

References

  • Ising [1925] E. Ising, Beitrag zur theorie des ferromagnetismus, Zeitschrift für Physik 31, 253 (1925).
  • Onsager [1944] L. Onsager, Crystal statistics. i. a two-dimensional model with an order-disorder transition, Physical Review 65, 117 (1944).
  • Kuzemsky [2009] A. Kuzemsky, Statistical mechanics and the physics of many-particle model systems, Physics of Particles and Nuclei 40, 949 (2009).
  • Weiss et al. [1907] P. Weiss, P. Weiss, and E. Stoner, Magnetism ond atomic structure, J. phys 6, 667 (1907).
  • Wysin and Kaplan [2000] G. Wysin and J. Kaplan, Correlated molecular-field theory for ising models, Physical Review E 61, 6399 (2000).
  • Bethe [1935] H. A. Bethe, Statistical theory of superlattices, Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences 150, 552 (1935).
  • Peierls [1936] R. Peierls, On ising’s model of ferromagnetism, in Mathematical Proceedings of the Cambridge Philosophical Society, Vol. 32 (Cambridge University Press, 1936) pp. 477–481.
  • Weiss [1948] P. R. Weiss, The application of the bethe-peierls method to ferromagnetism, Physical Review 74, 1493 (1948).
  • Zhuravlev [2005] K. K. Zhuravlev, Molecular-field theory method for evaluating critical points of the ising model, Physical Review E 72, 056104 (2005).
  • Yamamoto [2009] D. Yamamoto, Correlated cluster mean-field theory for spin systems, Physical Review B 79, 144427 (2009).
  • Viana et al. [2014] J. R. Viana, O. R. Salmon, J. R. de Sousa, M. A. Neto, and I. T. Padilha, An effective correlated mean-field theory applied in the spin-1/2 ising ferromagnetic model, Journal of magnetism and magnetic materials 369, 101 (2014).
  • Luttinger and Ward [1960] J. M. Luttinger and J. C. Ward, Ground-state energy of a many-fermion system. ii, Physical Review 118, 1417 (1960).
  • Baym and Kadanoff [1961] G. Baym and L. P. Kadanoff, Conservation laws and correlation functions, Physical Review 124, 287 (1961).
  • Cornwall et al. [1974] J. M. Cornwall, R. Jackiw, and E. Tomboulis, Effective action for composite operators, Physical Review D 10, 2428 (1974).
  • Kovner and Rosenstein [1989] A. Kovner and B. Rosenstein, Covariant gaussian approximation. i. formalism, Physical Review D 39, 2332 (1989).
  • Van Hees and Knoll [2002] H. Van Hees and J. Knoll, Renormalization in self-consistent approximation schemes at finite temperature. iii. global symmetries, Physical Review D 66, 025028 (2002).
  • Amit and Martin-Mayor [2005] D. J. Amit and V. Martin-Mayor, Field theory, the renormalization group, and critical phenomena: graphs to computers (World Scientific Publishing Company, 2005).
  • Wang et al. [2017] J. Wang, D. Li, H. Kao, and B. Rosenstein, Covariant gaussian approximation in ginzburg–landau model, Annals of Physics 380, 228 (2017).
  • Rosenstein and Kovner [1989] B. Rosenstein and A. Kovner, Covariant gaussian approximation. ii. scalar theories, Physical Review D 40, 504 (1989).
  • Fisher [1967] M. E. Fisher, The theory of equilibrium critical phenomena, Reports on progress in physics 30, 615 (1967).
  • Ashcroft et al. [1976] N. W. Ashcroft, N. D. Mermin, et al.Solid state physics, Vol. 2005 (holt, rinehart and winston, new york London, 1976).
  • Au-Yang and Perk [2002] H. Au-Yang and J. H. Perk, Correlation functions and susceptibility in the z-invariant ising model, in MathPhys Odyssey 2001 (Springer, 2002) pp. 23–48.
  • Orrick et al. [2001] W. Orrick, B. Nickel, A. Guttmann, and J. Perk, The susceptibility of the square lattice ising model: new developments, Journal of Statistical Physics 102, 795 (2001), for the complete set of series coefficients see https://blogs.unimelb.edu.au/tony-guttmann/.
  • Ricci-Tersenghi [2012] F. Ricci-Tersenghi, The bethe approximation for solving the inverse ising problem: a comparison with other inference methods, Journal of Statistical Mechanics: Theory and Experiment 2012, P08015 (2012).