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Multibalance conditions in nonequilibrium steady states

Indranil Mukherjee Condensed Matter Physics Division, Saha Institute of Nuclear Physics, HBNI, 1/AF Bidhan Nagar, Kolkata, 700064 India. [email protected]
Abstract

We study a new balance condition multibalance to obtain the nonequilibrium steady states of a class of nonequilibrium lattice models on a ring where a particle hops from a particular site to its nearest and next nearest neighbours. For the well-known zero range process (ZRP) with asymmetric hop rates, with this balance condition, we obtain the conditions on hop rates that lead to a factorized steady state (FSS). We show that this balance condition gives the cluster-factorized steady state (CFSS) for finite range process (FRP) and other models. We also discuss the application of multibalance condition to two species FRP model with hop rates ranging up to KK nearest neighbours.

Keywords: Zero-range processes, Non-equilibrium processes, Exact results

1 Introduction

Nonequilibrium steady states (NESS) [1, 2] differ from their equilibrium counterparts which obey detailed balance (DB) [3, 4]. DB ensures that there is no net flow of probability current among any pair of configurations leading to the well known Gibbs-Boltzmann measure in its steady state. Such a generic measure is absent in nonequilibrium situation raising a general question: how to obtain the steady states of non-equilibrium systems. Obtaining non-equilibrium steady state measure has always been a subject of interest. In general, finding an exact NESS for any nonequilibrium dynamics is usually difficult. It has been realized that exact solutions of steady state measures for certain non- equilibrium systems and analytical calculation of observables bring much insight to the understanding of the corresponding systems. In context of the exactly solvable interacting non-equilibrium systems, there exist a few successful models. The zero range process (ZRP) [5, 6, 7], a lattice gas model without any hardcore exclusions, is perhaps the simplest of them, which exhibits nontrivial static and dynamic properties in the steady state. It has found applications in different branches of science such as in describing phase separation criterion in driven lattice gases [8], network re-wiring [9, 10], statics and dynamics of extended objects [11, 12]. etc. The corresponding steady states of the well studied model ZRP, can be achieved using pairwise balance condition condition (PWB) [13], where one uses the following principle: for every transition CCC\to C^{\prime} there exists a unique configuration C′′C^{\prime\prime} such that the flux coming to CC from CC^{\prime} is exactly balanced by the flux going from CC to C′′C^{\prime\prime}. A special case of pairwise balance condition is DB when C′′C^{\prime\prime} = CC^{\prime}. For PWB to hold, a necessary condition is that the number of distinct incoming fluxes to any configuration must be equal to the number of distinct outgoing fluxes from that configuration. A prototypical example of non-equilibrium processes is the totally asymmetric simple exclusion process (TASEP) on a ring. The steady state of the TASEP with open boundaries was obtained exactly by Derrida et. al in Ref. [14] using matrix product ansatz (MPA), where steady state weight of any configuration is represented by a product of matrices containing two non-commuting matrices, one for the occupied site and the other for the vacant site. After successful implementation of MPA in TASEP with open boundaries [14, 15], it has been used extensively to solve the steady states of different generalizations of TASEP, e.g., TASEP with multiple species of particles [16], TASEP with internal degrees of freedom [17]; non-conserved systems with deposition, evaporation, coagulation-decoagulation like dynamics [18]. Another class of nonequilibrium model that has been studied recently is finite range process (FRP) [19], having cluster-factorized steady state (CFSS). The steady state of this model can be achieved by both pairwise balance and h - balance condition [19, 20] and there exists a finite dimensional transfer-matrix representation of the steady state.

In this article we have tried to find other possible balance conditions, beyond DB and PWB, to achieve NESS and refer to this as multibalance (MB): for every configuration C,C, sum of the outgoing fluxes to one or more configurations are balanced by the sum of multiple incoming fluxes. We have applied this balance conditions to few nonequilibrium models and obtained the exact steady states. We have studied the ZRP with directional asymmetry in two and three dimensions where we can get a factorized steady state (FSS) [21, 22] with certain conditions on the hop rates using MB. We have studied the steady state condition of the FRP model with nearest neighbours and next nearest neighbours hopping for asymmetric rates and obtained the CFSS if the hop rates satisfy some specific conditions. We have extended this FRP model with two species of particles. This class of nonequilibrium lattice models can also have a cluster factorized steady state (CFSS) [19]. For this model with directional asymmetry, we achieved the condition on hop rates that leads to a pair-factorized steady state (PFSS). To this end, we have also considered an interesting triangular lattice model, with particle hopping to its all nearest neighbours. Using MB, we have shown that one can have a pair-factorized steady states (PFSS) [23] with certain conditions on the hop rates and discussed the way to find the observable for this system.

2 Zero Range Process (ZRP) with directional asymmetry

The zero range process (ZRP) is a model in which many indistinguishable particles occupy sites on a lattice. Each lattice site may contain an integer number of particles and these particles hop between neighbouring sites with a rate that depends on the number of particles at the site of departure. The steady state of ZRP model in one dimension can be solved exactly for periodic and open boundary cases [7, 24, 25]. ZRP in one dimension with asymmetric rates has been discussed recently in [20].

2.1 ZRP in two dimensions with directional asymmetry

We consider a periodic ZRP lattice in two dimensions of size (L×LL\times L). Each site (i,j)(i,j) with, i=1,2,L,j=1,2,Li=1,2,\cdots L,j=1,2,\cdots L, can be vacant or it can be occupied by one or more particle ni,jNn_{i,j}\leq N (N=i=1Lj=1Lni,j)\left(N=\sum_{i=1}^{L}\sum_{j=1}^{L}n_{i,j}\right). A particle from any randomly chosen site can hop to its nearest neighbours (right, left, up and down) with rates ur(ni,j)u_{r}(n_{i,j}), ul(ni,j)u_{l}(n_{i,j}), uu(ni,j)u_{u}(n_{i,j}) and ud(ni,j)u_{d}(n_{i,j}) respectively as shown in Fig. 1.

Refer to caption
Figure 1: ZRP in two dimensions, a particle from site (i,j)(i,j) can hop to its right, left, up and down nearest neighbours with rates ur(ni,j)u_{r}(n_{i,j}), ul(ni,j)u_{l}(n_{i,j}), uu(ni,j)u_{u}(n_{i,j}) and ud(ni,j)u_{d}(n_{i,j}) respectively. ni,jn_{i,j} is the number of particles at site (i,j)(i,j).

ZRP does not have an exact steady state when hop rates in all four directions are different. The model is solvable using (a) DB, when the rates ur(n)=ul(n)=αu(n)u_{r}(n)=u_{l}(n)=\alpha u(n) and uu(n)=ud(n)=βu(n)u_{u}(n)=u_{d}(n)=\beta u(n), where both α\alpha and β\beta are constants or ur(n)=ul(n)=uu(n)=ud(n)=u(n)u_{r}(n)=u_{l}(n)=u_{u}(n)=u_{d}(n)=u(n) and (b) PWB, when all rates ur(n)u_{r}(n), ul(n)u_{l}(n), uu(n)u_{u}(n) and ud(n)u_{d}(n) differ by a multiplicative constant i.e., the ratios of the rates are independent of nn, assuming that the model evolves to a FSS

P({ni,j})=1QL,Ni=1,j=1Lf(ni,j)δ(i=1,j=1Lni,jN)P(\{n_{i,j}\})=\frac{1}{Q_{L,N}}\prod_{i=1,j=1}^{L}f(n_{i,j})~{}\delta\left(\sum_{i=1,j=1}^{L}n_{i,j}-N\right) (1)

where, the canonical partition function

QL,N={ni,j}i=1,j=1Lf(ni,j)δ(i=1,j=1Lni,jN).Q_{L,N}=\sum_{\{n_{i,j}\}}\prod_{i=1,j=1}^{L}f(n_{i,j})~{}\delta\left(\sum_{i=1,j=1}^{L}n_{i,j}-N\right). (2)

NN is the total number of particles and the density of the system ρ=NL2\rho=\frac{N}{L^{2}} is conserved by the dynamics. The steady state weight is defined as

f(n)=ν=1nu(ν)1.f(n)=\prod_{\nu=1}^{n}u(\nu)^{-1}. (3)

Is it possible to obtain an exact steady state using other flux cancellation schemes for this asymmetric hopping when the hop rates in all four directions are different, that increases the regime of solvability. We consider a new balance condition namely multibalance (MB).

2.1.1 Multibalance (MB)

We define a generalized balance condition in nonequilibrium systems such that a bunch of fluxes coming to the configuration CC from a set of configurations {C1′′,,CNC′′}\{C^{\prime\prime}_{1},\cdots,C^{\prime\prime}_{N_{C}}\} are balanced by the sum of out-fluxes from CC to a set of configurations {C1,,CMC}\{C^{\prime}_{1},\cdots,C^{\prime}_{M_{C}}\} in the configuration space. Here NCN_{C} is the total number of incoming fluxes for the set of configurations {C1′′,,CNC′′}\{C^{\prime\prime}_{1},\cdots,C^{\prime\prime}_{N_{C}}\} and MCM_{C} is the total number of outgoing fluxes for the set of configurations {C1,,CMC}\{C^{\prime}_{1},...,C^{\prime}_{M_{C}}\} as described in Fig. 2.

Refer to caption
Figure 2: Multibalance (MB): fluxes are represented by arrows. Incoming fluxes to the configuration CC from a set of configurations {C1′′,,CNC′′}\{C^{\prime\prime}_{1},\cdots,C^{\prime\prime}_{N_{C}}\} are balanced with the outward fluxes from CC to the set of configurations {C1,,CMC}\{C^{\prime}_{1},...,C^{\prime}_{M_{C}}\}. Clearly, for NC=MC=1N_{C}=M_{C}=1, if C1′′C1C^{\prime\prime}_{1}\neq C_{1}^{\prime}, MB reduces to PWB and when C1′′=C1C^{\prime\prime}_{1}=C_{1}^{\prime}, it becomes DB corresponds to the equilibrium

At steady state, for any system, the fluxes must balance: CP(C)W(CC)=C′′P(C′′)W(C′′C)\sum_{C^{\prime}}P(C)W(C\rightarrow C^{\prime})=\sum_{C^{\prime\prime}}P(C^{\prime\prime})W(C^{\prime\prime}\rightarrow C). We have denoted P(C)P(C) be the probability of the configuration CC and it can move to the other configuration CC^{\prime} with a dynamical rate W(CC)W(C\rightarrow C^{\prime}). For systems that satisfy a MB, these steady state configurations break into many conditions of the form,

i=1MCP(C)W(CCi)=i=1NCP(Ci′′)W(Ci′′C).\displaystyle\sum_{i=1}^{M_{C}}P(C)W(C\rightarrow C^{\prime}_{i})=\sum_{i=1}^{N_{C}}P(C^{\prime\prime}_{i})W(C^{\prime\prime}_{i}\rightarrow C). (4)

Eq. (4) describes that for every configuration CC, the incoming fluxes from a group of configurations {C1′′,,CNC′′}\{C^{\prime\prime}_{1},\cdots,C^{\prime\prime}_{N_{C}}\}, are balanced by outgoing fluxes to another uniquely identified group of configurations {C1,,CMC}\{C^{\prime}_{1},...,C^{\prime}_{M_{C}}\}. As a special case of MB condition, for NC=MC=1N_{C}=M_{C}=1, if C1′′C1C^{\prime\prime}_{1}\neq C_{1}^{\prime}, Eq. (4) reduces to Pairwise balance balance condition (PWB) and for the simplest case when C1′′=C1C^{\prime\prime}_{1}=C_{1}^{\prime}, it becomes the well known Detailed balance condition (DB) corresponds to the equilibrium case.

2.1.2 Balance Conditions for ZRP Model in two dimensions:

To solve ZRP in two dimensions (see Fig. 1) when the hop rates in all four directions are different, we employ MB condition.

  1. 1.

    A PWB condition, where, the flux, generated, by a particle hopping from site (i,j)(i,j) of a configuration C{,ni,j+1,,ni1,j,ni,j,ni+1,j,,ni,j1,}C\equiv\{\cdots,n_{i,j+1},\cdots,n_{i-1,j},n_{i,j},n_{i+1,j},\cdots,n_{i,j-1},\cdots\} to its up nearest neighbour (i.e. site (i,j+1)(i,j+1)), can be balanced with the flux due to hopping of a particle from site (i,j1)(i,j-1) of another configuration C{,ni,j+1,,ni1,j,ni,j1,ni+1,j,,ni,j1+1,}C^{\prime}\equiv\{\cdots,n_{i,j+1},\cdots,n_{i-1,j},n_{i,j}-1,n_{i+1,j},\cdots,n_{i,j-1}+1,\cdots\} to site (i,j)(i,j). At steady state, PWB condition is satisfied similarly as ZRP model [7], if

    uu(ni,j)=f(ni,j1)f(ni,j).u_{u}(n_{i,j})=\frac{f(n_{i,j}-1)}{f(n_{i,j})}. (5)
  2. 2.

    A MB condition, where, for a configuration C{,ni,j+1,,ni1,j,ni,j,ni+1,j,,ni,j1,}C\equiv\{\cdots,n_{i,j+1},\cdots,n_{i-1,j},n_{i,j},n_{i+1,j},\\ \cdots,n_{i,j-1},\cdots\}, the fluxes generated by a particle hopping to its right and left nearest neighbours from site (i,j)(i,j), can be balanced with the flux obtained by hopping of a particle from site (i,j+1)(i,j+1) of another configuration C′′{,ni,j+1+1,,ni1,j,ni,j1,ni+1,j,,ni,j1,}C^{\prime\prime}\equiv\{\cdots,n_{i,j+1}+1,\cdots,n_{i-1,j},n_{i,j}-1,n_{i+1,j},\cdots,n_{i,j-1},\cdots\} to its down nearest neighbour (i.e. site (i,j)(i,j)). The flux balance scheme in Eq. (4) gives the following equation

    ud(ni,j+1+1)P(,ni,j+1+1,ni,j1,)=[ur(ni,j)+ul(ni,j)]P({ni,j}).\displaystyle u_{d}(n_{i,j+1}+1)P(\cdots,n_{i,j+1}+1,\cdots n_{i,j}-1,\cdots)=\left[~{}u_{r}(n_{i,j})+u_{l}(n_{i,j})~{}\right]P(\{n_{i,j}\}). (6)

Using MB condition one can show that an exact steady state solution is possible and FSS as in Eq. (1) can be obtained only when the hop rates satisfy

ur(n)+ul(n)=uu(n)=ud(n)=u(n)=f(n1)f(n).\displaystyle u_{r}(n)+u_{l}(n)=u_{u}(n)=u_{d}(n)=u(n)=\frac{f(n-1)}{f(n)}. (7)

As an example, for this particle hopping ZRP model in two dimensions let us define the following rate functions

ur(n)=aandul(n)=1a\displaystyle u_{r}(n)=a~{}~{}{\rm and}~{}~{}u_{l}(n)=1-a~{}~{} ifn=1,\displaystyle{\rm if}~{}~{}n=1, (8)
ur(n)=eε/2andul(n)=eε/2\displaystyle u_{r}(n)=e^{\varepsilon/2}~{}~{}{\rm and}~{}~{}u_{l}(n)=e^{-\varepsilon/2}~{}~{} ifn>1,\displaystyle{\rm if}~{}~{}n>1, (9)

where the model parameters a<1/2a<1/2 and ε\varepsilon is the potential-bias that is taken to be positive. Using the rates in Eqs. (8) and (9) we can obtain the steady state weight following Eq. (3)

f(n)={1for n=0,1δn1for n>1;δ=(2cosh(ε/2))1.f(n)=\cases{1&for $n=0,1$\\ \delta^{n-1}&for $n>1$\\ }~{};~{}~{}\delta=(2\cosh(\varepsilon/2))^{-1}. (10)

2.1.3 Negative differential mobility in two dimensional ZRP

In this section we would like to discuss ZRP in two dimensions with specific choices of rates in Eqs. (8) and (9) give rise to negative differential response [26] of the particles. Following the local detailed balance condition, we can define the driving fields or bias in terms of the asymmetric rate functions as Eni,ni+1=lnur(ni)ul(ni+1+1)E_{n_{i},n_{i+1}}=\ln\frac{u_{r}(n_{i})}{u_{l}(n_{i+1}+1)} acting on bonds with local configurations (ni,ni+1)(n_{i},n_{i+1}) for the dynamics

{ni,ni+1}ul(ni+1+1)ur(ni){ni1,ni+1+1}.\{n_{i},n_{i+1}\}\mathop{\rightleftharpoons}^{u_{r}(n_{i})}_{u_{l}(n_{i+1}+1)}\{n_{i}-1,n_{i+1}+1\}. (11)

For the set of specific rate functions in Eqs. (8) and (9) we can calculate Eni,ni+1E_{n_{i},n_{i+1}}. The value ni=0n_{i}=0 is excluded as in this case (ni1)(n_{i}-1) becomes negative.

Eni,ni+1={ln(a1a)for ni=1,ni+1=0ln(a)+ε/2for ni=1,ni+1>0ln(1a)+ε/2for ni>1,ni+1=0εfor ni>1,ni+1>0E_{n_{i},n_{i+1}}=\cases{\ln(\frac{a}{1-a})&for $n_{i}=1,~{}n_{i+1}=0$\\ \ln(a)+\varepsilon/2&for $n_{i}=1,~{}n_{i+1}>0$\\ -\ln(1-a)+\varepsilon/2&for $n_{i}>1,~{}n_{i+1}=0$\\ ~{}\varepsilon&for $n_{i}>1,~{}n_{i+1}>0$} (12)

Eni,ni+1E_{n_{i},n_{i+1}} increases linearly in the positive direction with the increase of the bias parameter ε\varepsilon for all nin_{i} and ni+1n_{i+1}. We can express the grand canonical partition function following Eq. (2) as ZL(z)=N=0zNQL,N=[F(z)]LZ_{L}(z)=\sum_{N=0}^{\infty}z^{N}Q_{L,N}=[F(z)]^{L} with

F(z)=n=0znf(n)=1+z1δzF(z)=\sum_{n=0}^{\infty}z^{n}f(n)=1+\frac{z}{1-\delta z} (13)

where the fugacity zz controls the particle density through the relation ρ(z)=zF(z)/F(z)=z[1+z2zδ+z2δ(δ1)]1\rho(z)=zF^{\prime}(z)/F(z)=z[1+z-2z\delta+z^{2}\delta(\delta-1)]^{-1}. Finally the current is

J=1F(z)n=1[ur(n)ul(n)]znf(n)=1F(z)[(2a1)z+2sinh(ε/2)z2δ1δz].\displaystyle J=\frac{1}{F(z)}\sum_{n=1}^{\infty}[~{}u_{r}(n)-u_{l}(n)~{}]z^{n}f(n)=\frac{1}{F(z)}[~{}(2a-1)z+2\sinh(\varepsilon/2)\frac{z^{2}\delta}{1-\delta z}~{}]. (14)
Refer to caption
Refer to caption
Figure 3: (a) NDM in 2D ZRP, current (JJ) as a function of the bias (ε\varepsilon) measured for ρ=0.15\rho=0.15, a=0.2a=0.2, NDM occurs at ε3.722\varepsilon\geq 3.722. The results from simulation (points) with system size 100×100100\times 100 are compared with the exact result (line) according to Eq. (14), (b) dJdε\frac{dJ}{d\varepsilon} as a function of ε\varepsilon for ρ=0.15\rho=0.15, a=0.2a=0.2 using Eq. (14). dJdε\frac{dJ}{d\varepsilon} becomes negative for ε3.722\varepsilon\geq 3.722. Inset shows the phase diagram in ρ\rho - aa plane, NDM occurs in the shaded region.

To understand the behaviour of current JJ in Eq. (14), we did a Monte Carlo simulation for a fixed particle density ρ=0.15\rho=0.15 and a=0.2a=0.2. Fig. 3(a) shows the particle current JJ with the bias parameter ε\varepsilon for ρ=0.15\rho=0.15 and a=0.2a=0.2. For small ε\varepsilon, current JJ increases as the parameter ε\varepsilon is increased. Beyond a certain value of ε\varepsilon (ε=3.722)(\varepsilon=3.722) where JJ reaches to its maximum value, it decreases with ε\varepsilon and NDM is observed as soon as ε3.722\varepsilon\geq 3.722. It is evident from Fig. 3(a) that the gradient of current JJ, dJdε\frac{dJ}{d\varepsilon}, decreases with ε\varepsilon and becomes negative for ε3.722\varepsilon\geq 3.722, which is shown in Fig. 3(b). Current JJ obtained in Eq. (14) may or may not exhibit NDM for every ρ\rho and aa. To explore the possibility of NDM in this system, we have shown the region where NDM occurs in ρ\rho - aa phase plane in the inset of Fig. 3(b).

2.2 ZRP in three dimensions with asymmetric rates

We consider a periodic ZRP lattice in three dimensions of size (L×L×LL\times L\times L) (see Fig. 4). Each site, represented by (i,j,k)(i,j,k) can be either vacant or it can be occupied by one or more particles denoted by ni,j,kNn_{i,j,k}\leq N (N=i,j,k=1Lni,j,k)\left(N=\sum_{i,j,k=1}^{L}n_{i,j,k}\right). From a randomly chosen site (i,j,k)(i,j,k), a particle can hop to nearest neighbours (up, down, right, left, frnt and back) with rates uu(ni,j,k)u_{u}(n_{i,j,k}), ud(ni,j,k)u_{d}(n_{i,j,k}), ur(ni,j,k)u_{r}(n_{i,j,k}), ul(ni,j,k)u_{l}(n_{i,j,k}), uf(ni,j,k)u_{f}(n_{i,j,k}) and ub(ni,j,k)u_{b}(n_{i,j,k}).

Refer to caption
Figure 4: Asymmetric ZRP in three dimensions, where a particle from site (i,j,k)(i,j,k) can hop to its right, left, up and down, front and back nearest neighbours with rates ur(ni,j,k)u_{r}(n_{i,j,k}), ul(ni,j,k)u_{l}(n_{i,j,k}), uu(ni,j,k)u_{u}(n_{i,j,k}), ud(ni,j,k)u_{d}(n_{i,j,k}), uf(ni,j,k)u_{f}(n_{i,j,k}) and ub(ni,j,k)u_{b}(n_{i,j,k}) respectively, ni,j,kn_{i,j,k} is number of particles at this site (i,j,k)(i,j,k).

The steady state probability can be defined as

P({ni,j,k)i=1,j=1,k=1Lf(ni,j,k)δ(i=1,j=1,k=1Lni,j,kN).P(\{n_{i,j,k})\propto\prod_{i=1,j=1,k=1}^{L}f(n_{i,j,k})~{}\delta\left(\sum_{i=1,j=1,k=1}^{L}n_{i,j,k}-N\right). (15)

When all rates are different, no general solution is available. One can obtain the FSS as in Eq. (1) for this model using MB condition when the hop rates satisfy the condition

[ur(n)+ul(n)+uf(n)+ub(n)]=uu(ni,j,k)=ud(ni,j,k)=u(n)=f(n1)f(n)[~{}u_{r}(n)+u_{l}(n)+u_{f}(n)+u_{b}(n)~{}]=u_{u}(n_{i,j,k})=u_{d}(n_{i,j,k})=u(n)=\frac{f(n-1)}{f(n)} (16)

and the steady state weight is defined as f(n)=ν=1nu(ν)1f(n)=\prod_{\nu=1}^{n}u(\nu)^{-1}. As an example, let us define a simple choices of hop rates

u(n)=(1+1n)b,\displaystyle u(n)=(1+\frac{1}{n})^{b}, (17)
ur(n)=[u(n)+a2]/4andul(n)=[u(n)a2]/4,\displaystyle u_{r}(n)=[u(n)+\frac{a}{2}]/4~{}~{}{\rm and}~{}~{}u_{l}(n)=[u(n)-\frac{a}{2}]/4, (18)
uf(n)=[u(n)+a3]/4andub(n)=[u(n)a3]/4.\displaystyle u_{f}(n)=[u(n)+\frac{a}{3}]/4~{}~{}{\rm and}~{}~{}u_{b}(n)=[u(n)-\frac{a}{3}]/4. (19)

Refer to caption   Refer to caption

Figure 5: Currents in three dimensional ZRP, (a) current JrlJ_{rl} as a function of the parameter aa and (b) current JfbJ_{fb} as a function of the parameter aa. The results from simulation (points) are compared with the exact results (line) according to Eqs. (20) and (21). In both figures density ρ\rho = 0.5 and b=1.1b=1.1

The grand canonical partition function can be expressed as ZL(z)=N=0zNQL,N=[F(z)]LZ_{L}(z)=\sum_{N=0}^{\infty}z^{N}Q_{L,N}=[F(z)]^{L} with F(z)=n=0znf(n)=(z)1Lib(z)F(z)=\sum_{n=0}^{\infty}z^{n}f(n)=(z)^{-1}Li_{b}(z) and Lib(z)Li_{b}(z) is the Polylogarithm function defined by Lib(z)=n=1znnbLi_{b}(z)=\sum_{n=1}^{\infty}\frac{z^{n}}{n^{b}}. Using our choices of rates in Eqs. (17) - (19) we can calculate the currents JrlJ_{rl} (right - left direction) and JfbJ_{fb} (front - back direction) as

Jrl=1F(z)n=1[ur(n)ul(n)]f(n)zn=1F(z)a4(F(z)1),\displaystyle J_{rl}=\frac{1}{F(z)}\sum_{n=1}^{\infty}[u_{r}(n)-u_{l}(n)]f(n)z^{n}=\frac{1}{F(z)}\frac{a}{4}(F(z)-1), (20)
Jfb=1F(z)n=1[uf(n)ub(n)]f(n)zn=1F(z)a6(F(z)1).\displaystyle J_{fb}=\frac{1}{F(z)}\sum_{n=1}^{\infty}[u_{f}(n)-u_{b}(n)]f(n)z^{n}=\frac{1}{F(z)}\frac{a}{6}(F(z)-1). (21)

In Fig. 5(a) and Fig. 5(b) we have plotted the currents JrlJ_{rl} and JfbJ_{fb} with the parameter aa for particle density ρ=0.5\rho=0.5 and b=1.1b=1.1. As expected currents in both directions increase linearly with the parameter aa.

3 Asymmetric finite range process (FRP) with nearest neighbours and next nearest neighbours hopping

We consider one dimensional periodic lattice with sites labeled by i=1,2,,Li=1,2,\cdots,L (see Fig. 6). Each site ii has a non negative integer variable nin_{i}, representing the number of particles at site ii (for a vacant site ni=0n_{i}=0). A particle from any randomly chosen site ii; can hop to its right nearest neighbour with rate uR(.)u_{R}(.) and left nearest neighbour with rate uL(.)u_{L}(.) and as well as to the next nearest neighbours with rates UR(.)U_{R}(.) for right, UL(.)U_{L}(.) for left. All these rates depend on the number of particles at all the sites within a range KK w.r.t the departure site. This finite range process (FRP), with nearest neighbours hopping has been studied earlier [19, 20].

Refer to caption
Figure 6: FRP in one dimension where a particle hop from a site ii to its left and right neighbours with rates uL(.)u_{L}(.) and uR(.)u_{R}(.) and left and right next nearest neighbours, with rates UL(.)U_{L}(.) and UR(.)U_{R}(.). All these rates depends on occupation of site ii (here ni=3n_{i}=3) and all its neighbours within a range KK.

Like the FRP model discussed in [19], we have considered the steady state probability

P({ni})=1QL,Ni=1Lg(ni,ni+1,ni+K)δ(iniN)P(\{n_{i}\})=\frac{1}{Q_{L,N}}\prod_{i=1}^{L}g(n_{i},n_{i+1},\cdots n_{i+K})~{}\delta\left(\sum_{i}n_{i}-N\right) (22)

where, QL,NQ_{L,N} is the canonical partition function defined as

QL,N={ni}i=1Lg(ni,ni+1,ni+K)δ(iniN).Q_{L,N}=\sum_{\{n_{i}\}}\prod_{i=1}^{L}g(n_{i},n_{i+1},\cdots n_{i+K})~{}\delta\left(\sum_{i}n_{i}-N\right). (23)

NN is the total number of particles and ρ=NL\rho=\frac{N}{L} is conserved by the dynamics.

3.1 Balance conditions for asymmetric FRP

We will try to get the steady states of this model for the asymmetric rates. Consider the balance conditions as

  1. 1.

    A PWB condition, where the flux generated due to a particle hopping from site ii of a configuration C{,ni1,ni,ni+1,}C\equiv\{\cdots,n_{i-1},n_{i},n_{i+1},\cdots\} to site (i+1)(i+1), can be balanced with the flux obtained by a particle hopping from site (i1)(i-1) of another configuration C{,ni1+1,ni1,ni+1,}C^{\prime}\equiv\{\cdots,n_{i-1}+1,n_{i}-1,n_{i+1},\cdots\} to site ii.

    uR(niK,,ni,ni+K)P({ni})=\displaystyle u_{R}(n_{i-K},\cdots,n_{i},\cdots n_{i+K})P(\{n_{i}\})= uR(niK1,,ni1+1,ni1,ni+K1)\displaystyle u_{R}(n_{i-K-1},\cdots,n_{i-1}+1,n_{i}-1,\cdots n_{i+K-1}) (24)
    ×P(,ni1+1,ni1,ni+1,).\displaystyle\times P(\cdots,n_{i-1}+1,n_{i}-1,n_{i+1},\cdots). (25)

    Following Eq. (22), one can check that PWB condition as in Eq. (25) will be satisfied if the hop rate at site ii satisfies the condition as like FRP model [19]

    uR(niK,,ni,,ni+K))=k=1Kg(n~iK+k,n~iK+1+k,,n~i+k)g(niK+k,niK+1+k,,ni+k)u_{R}(n_{i-K},\cdots,n_{i},\cdots,n_{i+K)})=\prod_{k=1}^{K}\frac{g(\widetilde{n}_{i-K+k},\widetilde{n}_{i-K+1+k},\cdots,\widetilde{n}_{i+k})}{g(n_{i-K+k},n_{i-K+1+k},\cdots,n_{i+k})} (26)

    where n~j=njδji\widetilde{n}_{j}=n_{j}-\delta_{ji}

  2. 2.

    A MB condition, where fluxes generated due to a particle hopping from site ii of a configuration C{,ni1,ni,ni+1,}C\equiv\{\cdots,n_{i-1},n_{i},n_{i+1},\cdots\} to the sites (i+2)(i+2) and (i2)(i-2), can be balanced with the flux obtained by a particle hopping from site (i+1)(i+1) of another configuration C′′{,ni1,ni1,ni+1+1,}C^{\prime\prime}\equiv\{\cdots,n_{i-1},n_{i}-1,n_{i+1}+1,\cdots\} to its left nearest neighbour site ii. The flux balance scheme in Eq. (4) gives the following equation

    [UR(niK,,ni,ni+K)+UL(niK,,ni,ni+K)]P({ni})\displaystyle[~{}U_{R}(n_{i-K},\cdots,n_{i},\cdots n_{i+K})+U_{L}(n_{i-K},\cdots,n_{i},\cdots n_{i+K})~{}]~{}P(\{n_{i}\}) (27)
    =uL(niK+1,,ni1,ni1,ni+1+1,ni+K+1)P(,ni1,ni1,ni+1+1,).\displaystyle=u_{L}(n_{i-K+1},\cdots,n_{i-1},n_{i}-1,n_{i+1}+1,\cdots n_{i+K+1})~{}P(\cdots,n_{i-1},n_{i}-1,n_{i+1}+1,\cdots). (28)
    (29)

MB condition as in Eq. (29) for this asymmetric FRP model will be satisfied and one can obtain a cluster-factorized form of steady state (CFSS) as in Eq. (22), when uR(.)=uL(.)=u(.)u_{R}(.)=u_{L}(.)=u(.) and the hop rates satisfy the condition

UR(niK,,ni,ni+K)+UL(niK,,ni,ni+K)\displaystyle U_{R}(n_{i-K},\cdots,n_{i},\cdots n_{i+K})+U_{L}(n_{i-K},\cdots,n_{i},\cdots n_{i+K}) (30)
=u(niK,,ni,ni+K)=k=1Kg(n~iK+k,n~iK+1+k,,n~i+k)g(niK+k,niK+1+k,,ni+k)\displaystyle=u(n_{i-K},\cdots,n_{i},\cdots n_{i+K})=\prod_{k=1}^{K}\frac{g(\widetilde{n}_{i-K+k},\widetilde{n}_{i-K+1+k},\cdots,\widetilde{n}_{i+k})}{g(n_{i-K+k},n_{i-K+1+k},\cdots,n_{i+k})} (31)

where n~j=njδji\widetilde{n}_{j}=n_{j}-\delta_{ji}

3.2 Conditions for PFSS (K=1K=1)

For K=1K=1, we can obtain the steady states in pair-factorized form using MB, if the hop rates satisfy, following Eq. (31),

[UR(ni1,ni,ni+1)+UL(ni1,ni,ni+1)]=u(ni1,ni,ni+1)=\displaystyle[U_{R}(n_{i-1},n_{i},n_{i+1})+U_{L}(n_{i-1},n_{i},n_{i+1})]=u(n_{i-1},n_{i},n_{i+1})= g(ni1,ni1)g(ni1,ni)\displaystyle\frac{g(n_{i-1},n_{i}-1)}{g(n_{i-1},n_{i})} (32)
×g(ni1,ni+1)g(ni,ni+1).\displaystyle\times~{}\frac{g(n_{i}-1,n_{i+1})}{g(n_{i},n_{i+1})}. (33)

Let us consider that the weight function g(ni,ni+1)g(n_{i},n_{i+1}) can be written as the inner product of two 2-dimensional vectors [19]

g(ni,ni+1)=α(ni)|β(ni+1).g(n_{i},n_{i+1})=\langle\alpha(n_{i})|\beta(n_{i+1})\rangle. (34)

In grand canonical ensemble where the fugacity zz controls the density ρ\rho, the partition sum can be written as ZL(z)=N=0QL,NzN=Tr[T(z)L]Z_{L}(z)=\sum_{N=0}^{\infty}Q_{L,N}z^{N}=\Tr[T(z)^{L}] with

T(z)=n=0zn|β(n)α(n)|.T(z)=\sum_{n=0}^{\infty}z^{n}|\beta(n)\rangle\langle\alpha(n)|. (35)

Now, for a particular choice of the steady state weight g(ni,ni+1)g(n_{i},n_{i+1}), one can construct the transfer matrix T(z)T(z) to calculate the density of the system ρ=z(ZL(z)ZL(z))\rho=z\left(\frac{Z_{L}^{\prime}(z)}{Z_{L}(z)}\right) and the correlation function by transfer matrix method in pair-factorized steady state [19].

4 Two species Finite Range Process (FRP)

4.1 The Model

The model is defined on an one dimensional periodic lattice with sites labeled by i=1,2,,Li=1,2,\cdots,L (see Fig. 7). At each site ii, there are nin_{i} particles of species AA (coloured red) and mim_{i} particles of species BB (cloured blue). Total number of particle AA is NN and that of particle BB is MM. A particle of any species, from any randomly chosen site ii can hop to its right nearest neighbour with a rate u(.)u(.) for species AA and v(.)v(.) for species BB. These two rates depend on the number of particles at all the sites which are within a range KK w.r.t the departure site like the FRP model [19].

Refer to caption
Figure 7: Two species FRP in one dimension where a particle of species AA hop from a site ii to its right neighbour with rate u(.)u(.) and particle of species BB hops with rate v(.)v(.). All these rates depends on occupation of site ii (here ni=3n_{i}=3, mi=2m_{i}=2) and all its neighbours within a range KK.

Dynamics of this model can be described as for species AA

(,ni,ni+1,;,mi,mi+1,)(,ni1,ni+1+1,;,mi,mi+1,)\displaystyle(\cdots,n_{i},n_{i+1},\cdots;\cdots,m_{i},m_{i+1},\cdots)\to(\cdots,n_{i}-1,n_{i+1}+1,\cdots;\cdots,m_{i},m_{i+1},\cdots) (36)
withrateu(niK,,ni,,ni+K,miK,,mi,,mi+K)\displaystyle{\rm with~{}rate}~{}~{}u(n_{i-K},\cdots,n_{i},\cdots,n_{i+K},m_{i-K},\cdots,m_{i},\cdots,m_{i+K}) (37)

and the dynamics of species BB

(,ni,ni+1,;,mi,mi+1,)(,ni,ni+1,;,mi1,mi+1+1,)\displaystyle(\cdots,n_{i},n_{i+1},\cdots;\cdots,m_{i},m_{i+1},\cdots)\to(\cdots,n_{i},n_{i+1},\cdots;\cdots,m_{i}-1,m_{i+1}+1,\cdots) (38)
withrateu(niK,,ni,,ni+K,miK,,mi,,mi+K).\displaystyle{\rm with~{}rate}~{}~{}u(n_{i-K},\cdots,n_{i},\cdots,n_{i+K},m_{i-K},\cdots,m_{i},\cdots,m_{i+K}). (39)

For K=0K=0, this model is identical to two species zero range process [7] with hop rate u(.)u(.) for particles of species AA, and v(.)v(.) for particles of species BB, an exactly solvable nonequilibrium model that evolves to a FSS

P({ni};{mi})i=1Lf(ni,mi)δ(iniN)δ(imiM)P(\{n_{i}\};\{m_{i}\})\propto\prod_{i=1}^{L}f(n_{i},m_{i})~{}\delta\left(\sum_{i}n_{i}-N\right)~{}\delta\left(\sum_{i}m_{i}-M\right) (40)

with the steady state weight

f(n,m)=i=1n[u(i,m)]1j=0m[v(0,j)]1.f(n,m)=\prod_{i=1}^{n}[u(i,m)]^{-1}~{}\prod_{j=0}^{m}[v(0,j)]^{-1}. (41)

4.1.1 Condition for cluster-factorized steady state (CFSS)

We can express the steady state probability P({ni};{mi})P(\{n_{i}\};\{m_{i}\}) in a cluster factorized form as

P({ni};{mi})=\displaystyle P(\{n_{i}\};\{m_{i}\})= 1QL,N,Mi=1Lg(ni,ni+1,ni+K,mi,mi+1,mi+K)\displaystyle\frac{1}{Q_{L,N,M}}\prod_{i=1}^{L}g(n_{i},n_{i+1},\cdots n_{i+K},m_{i},m_{i+1},\cdots m_{i+K}) (42)
×δ(iniN)δ(imiM)\displaystyle\times\delta\left(\sum_{i}n_{i}-N\right)~{}\delta\left(\sum_{i}m_{i}-M\right) (43)

where QL,N,MQ_{L,N,M} is the canonical partition function defined as

QL,N,M={ni,mi}i=1Lg(ni,ni+K,mi,mi+K)δ(iniN)δ(imiM).\displaystyle Q_{L,N,M}=\sum_{\{n_{i},m_{i}\}}\prod_{i=1}^{L}g(n_{i},\cdots n_{i+K},m_{i},\cdots m_{i+K})~{}\delta\left(\sum_{i}n_{i}-N\right)~{}\delta\left(\sum_{i}m_{i}-M\right). (44)

NN and MM are total number of particles of species AA and BB. ρA=NL\rho_{A}=\frac{N}{L} and ρB=ML\rho_{B}=\frac{M}{L} are conserved by the dynamics. We can write the Master equation of this two species FRP model to find the steady state condition

ddtP({ni};{mi})=\displaystyle\frac{d}{dt}P(\{n_{i}\};\{m_{i}\})= i=1L[u(niK,,ni,,ni+k,,mik,,mi,,mi+K)P({ni};{mi})\displaystyle\sum_{i=1}^{L}[-u(n_{i-K},\cdots,n_{i},\cdots,n_{i+k},\cdots,m_{i-k},\cdots,m_{i},\cdots,m_{i+K})P(\{n_{i}\};\{m_{i}\}) (45)
+u(niK,,ni1,ni+1+1,,ni+k,,mik,,mi,,mi+K)\displaystyle+u(n_{i-K},\cdots,n_{i}-1,n_{i+1}+1,\cdots,n_{i+k},\cdots,m_{i-k},\cdots,m_{i},\cdots,m_{i+K}) (46)
×P(,ni1,ni+1+1,;{mi})]+\displaystyle\times P(\cdots,n_{i}-1,n_{i+1}+1,\cdots;\{m_{i}\})]+ (47)
i=1L[v(niK,,ni,,ni+k,,mik,,mi,,mi+K)P({ni};{mi})\displaystyle\sum_{i=1}^{L}[-v(n_{i-K},\cdots,n_{i},\cdots,n_{i+k},\cdots,m_{i-k},\cdots,m_{i},\cdots,m_{i+K})P(\{n_{i}\};\{m_{i}\}) (48)
+v(niK,,ni,,ni+k,,mik,,mi1,mi+1+1,,mi+K)\displaystyle+v(n_{i-K},\cdots,n_{i},\cdots,n_{i+k},\cdots,m_{i-k},\cdots,m_{i}-1,m_{i+1}+1,\cdots,m_{i+K}) (49)
×P({ni};,mi1,mi+1+1,)].\displaystyle\times P(\{n_{i}\};\cdots,m_{i}-1,m_{i+1}+1,\cdots)]. (50)

Eq. (50) is true when the gain and loss terms due to the dynamics of species AA cancel independently of the gain and loss terms due to the dynamics of species BB. We look to achieve this cancellation for each term ii in the sum separately. With this condition, the cluster-factorized form of steady states (CFSS) as in Eq. (42) for this two species FRP model is indeed possible when the hop rates of species AA and BB satisfy the conditions

u(niK,,ni,ni+K,miK,,mi,mi+K)\displaystyle u(n_{i-K},\cdots,n_{i},\cdots n_{i+K},m_{i-K},\cdots,m_{i},\cdots m_{i+K}) (51)
=k=1Kg(n~iK+k,n~iK+1+k,,n~i+k,miK+k,miK+1+k,,mi+k)g(niK+k,niK+1+k,,ni+k,miK+k,miK+1+k,,mi+k),\displaystyle=\prod_{k=1}^{K}\frac{g(\widetilde{n}_{i-K+k},\widetilde{n}_{i-K+1+k},\cdots,\widetilde{n}_{i+k},m_{i-K+k},m_{i-K+1+k},\cdots,m_{i+k})}{g(n_{i-K+k},n_{i-K+1+k},\cdots,n_{i+k},m_{i-K+k},m_{i-K+1+k},\cdots,m_{i+k})}, (52)
v(niK,,ni,ni+K,miK,,mi,mi+K)\displaystyle v(n_{i-K},\cdots,n_{i},\cdots n_{i+K},m_{i-K},\cdots,m_{i},\cdots m_{i+K}) (53)
=k=1Kg(niK+k,niK+1+k,,ni+k,m~iK+k,m~iK+1+k,,m~i+k)g(niK+k,niK+1+k,,ni+k,miK+k,miK+1+k,,mi+k)\displaystyle=\prod_{k=1}^{K}\frac{g(n_{i-K+k},n_{i-K+1+k},\cdots,n_{i+k},\widetilde{m}_{i-K+k},\widetilde{m}_{i-K+1+k},\cdots,\widetilde{m}_{i+k})}{g(n_{i-K+k},n_{i-K+1+k},\cdots,n_{i+k},m_{i-K+k},m_{i-K+1+k},\cdots,m_{i+k})} (54)

where n~j=njδji\widetilde{n}_{j}=n_{j}-\delta_{ji} in Eq. (52) and m~j=mjδji\widetilde{m}_{j}=m_{j}-\delta_{ji} in Eq. (54). These two rates are related by a constraint

u(niK,,ni,ni+K,miK,,mi,mi+K)u(niK,,ni,ni+K,miK,,mi1,mi+K)\displaystyle\frac{u(n_{i-K},\cdots,n_{i},\cdots n_{i+K},m_{i-K},\cdots,m_{i},\cdots m_{i+K})}{u(n_{i-K},\cdots,n_{i},\cdots n_{i+K},m_{i-K},\cdots,m_{i}-1,\cdots m_{i+K})} (55)
=v(niK,,ni,ni+K,miK,,mi,mi+K)v(niK,,ni1,ni+K,miK,,mi,mi+K).\displaystyle=\frac{v(n_{i-K},\cdots,n_{i},\cdots n_{i+K},m_{i-K},\cdots,m_{i},\cdots m_{i+K})}{v(n_{i-K},\cdots,n_{i}-1,\cdots n_{i+K},m_{i-K},\cdots,m_{i},\cdots m_{i+K})}. (56)

As like ZRP model with several species of particles [7, 27, 28] , it is possible to generalise FRP to any number of species say QQ. Although there are QQ rates, it is expected that the rates must be related by Q1Q-1 conditions.

4.2 Two species FRP model with directional asymmetry

We can add a directional asymmetry in two species FRP model (see Fig. 8), by adding conditions, from a randomly chosen site ii, the particle of species AA, can hop to its right and left nearest neighbours with rates uR(.)u_{R}(.) and uL(.)u_{L}(.), it can hop to right and left next nearest neighbours with rates UR(.)U_{R}(.) and UL(.)U_{L}(.). Similarly, particle of species BB, can hop to its right and left nearest neighbours with rates vR(.)v_{R}(.) and vL(.)v_{L}(.), to right and left next nearest neighbours with rates VR(.)V_{R}(.) and VL(.)V_{L}(.). All these rates depend on the number of particles at all the sites which are within a range KK w.r.t the departure site Fig. 8.

Refer to caption
Figure 8: Two species asymmetric FRP model in one dimension. A particle of species A can hop to its right and left nearest neighbours with rates uR(.)u_{R}(.) and uL(.)u_{L}(.), to right and left next nearest neighbours with rates UR(.)U_{R}(.) and UL(.)U_{L}(.). Similarly, particle of species BB, can hop to its right and left nearest neighbours with rates vR(.)v_{R}(.) and vL(.)v_{L}(.), to right and left next nearest neighbours with rates VR(.)V_{R}(.) and VL(.)V_{L}(.).

4.2.1 Balance conditions for two species FRP model with directional asymmetry

For K=1K=1 (PFSS), we can express the steady state probability P({ni};{mi})P(\{n_{i}\};\{m_{i}\}) in terms of the steady state weight following Eq. (42)

P({ni};{mi})=1QL,N,Mi=1Lg(ni,ni+1,mi,mi+1)δ(iniN)δ(imiM)\displaystyle P(\{n_{i}\};\{m_{i}\})=\frac{1}{Q_{L,N,M}}\prod_{i=1}^{L}g(n_{i},n_{i+1},m_{i},m_{i+1})~{}\delta\left(\sum_{i}n_{i}-N\right)\delta\left(\sum_{i}m_{i}-M\right) (57)

where, the canonical partition function

QL,N,M={ni;mi}i=1Lg(ni,ni+1,mi,mi+1)δ(iniN)δ(imiM).Q_{L,N,M}=\sum_{\{n_{i};m_{i}\}}\prod_{i=1}^{L}g(n_{i},n_{i+1},m_{i},m_{i+1})~{}\delta\left(\sum_{i}n_{i}-N\right)\delta\left(\sum_{i}m_{i}-M\right). (58)

Consider the balance conditions to obtain the steady state

  1. 1.

    PWB conditions, where
    (a) Flux generated by hopping of a particle of species AA from site ii of a configuration C(,ni1,ni,ni+1,,,mi1,mi,mi+1,)C\equiv(\cdots,n_{i-1},n_{i},n_{i+1},\cdots,\cdots,m_{i-1},m_{i},m_{i+1},\cdots) to site (i+1)(i+1), can be balanced with the flux obtained by hopping of a particle of same species from site (i1)(i-1) of another configuration C(,ni1+1,ni1,ni+1,,,mi1,mi,mi+1,)C^{\prime}\equiv(\cdots,n_{i-1}+1,n_{i}-1,n_{i+1},\cdots,\cdots,m_{i-1},m_{i},m_{i+1},\cdots) to site ii.
    (b) Similarly, flux generated by hopping of a particle of species BB from site ii of the configuration C(,ni1,ni,ni+1,,,mi1,mi,mi+1,)C\equiv(\cdots,n_{i-1},n_{i},n_{i+1},\cdots,\cdots,m_{i-1},m_{i},m_{i+1},\cdots) to site (i+1)(i+1), can be balanced with the flux obtained by hopping of a particle of same species from site (i1)(i-1) of another configuration C′′(,ni1,ni,ni+1,,,mi1+1,mi1,mi+1,)C^{\prime\prime}\equiv(\cdots,n_{i-1},n_{i},n_{i+1},\cdots,\cdots,m_{i-1}+1,m_{i}-1,m_{i+1},\cdots) to site ii. For these PWB conditions with similar argument like Eq. (50), we can calculate rates of species AA and BB respectively for K=1K=1 as

    uR(ni1,ni,ni+1,mi1,mi,mi+1)=g(ni1,ni1,mi1,mi)g(ni1,ni,mi1,mi)g(ni1,ni+1mi,mi+1)g(ni,ni+1,mi,mi+1),\displaystyle u_{R}(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})=\frac{g(n_{i-1},n_{i}-1,m_{i-1},m_{i})}{g(n_{i-1},n_{i},m_{i-1},m_{i})}\frac{g(n_{i}-1,n_{i+1}m_{i},m_{i+1})}{g(n_{i},n_{i+1},m_{i},m_{i+1})}, (59)
    (60)
    vR(ni1,ni,ni+1,mi1,mi,mi+1)=g(ni1,ni,mi1,mi1)g(ni1,ni,mi1,mi)g(ni,ni+1mi1,mi+1)g(ni,ni+1,mi,mi+1).\displaystyle v_{R}(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})=\frac{g(n_{i-1},n_{i},m_{i-1},m_{i}-1)}{g(n_{i-1},n_{i},m_{i-1},m_{i})}\frac{g(n_{i},n_{i+1}m_{i}-1,m_{i+1})}{g(n_{i},n_{i+1},m_{i},m_{i+1})}. (61)
    (62)
  2. 2.

    MB conditions where
    (a) Fluxes generated for a particle of species AA, hopping from site ii, of configuration C(,ni1,ni,ni+1,,,mi1,mi,mi+1,)C\equiv(\cdots,n_{i-1},n_{i},n_{i+1},\cdots,\cdots,m_{i-1},m_{i},m_{i+1},\cdots), to sites (i+2)(i+2) and (i2)(i-2), can be balanced with the flux obtained by hopping of a particle of species BB from site ii of the configuration C1{(,ni1,ni,ni+1,,mi1,mi1,mi+1+1,)}C_{1}^{\prime}\equiv\{(\cdots,n_{i-1},n_{i},n_{i+1},\cdots,m_{i-1},m_{i}-1,m_{i+1}+1,\cdots)\} to site (i1)(i-1).
    (b) Fluxes generated for a particle of species BB, hopping from site ii, of configuration C(,ni,ni+1,,mi1,mi,mi+1,)C\equiv(\cdots,n_{i},n_{i+1},\cdots,m_{i-1},m_{i},m_{i+1},\cdots), to sites (i+2)(i+2) and (i2)(i-2), can be balanced with the flux obtained by hopping of a particle of species AA from site ii of the configuration C2{(,ni1,ni1,ni+1+1,,,mi1,mi,mi+1,)}C_{2}^{\prime}\equiv\{(\cdots,n_{i-1},n_{i}-1,n_{i+1}+1,\cdots,\cdots,m_{i-1},m_{i},m_{i+1},\cdots)\} to site (i1)(i-1).

One can verify that pair-factorized form of steady state (PFSS) as in Eq. (57) can be obtained following these MB conditions when the rates uR(.)=uL(.)=u(.)u_{R}(.)=u_{L}(.)=u(.), vR(.)=vL(.)=v(.)v_{R}(.)=v_{L}(.)=v(.) and other hop rates of species AA and BB satisfy

[UR(ni1,ni,ni+1,mi1,mi,mi+1)+UL(ni1,ni,ni+1,mi1,mi,mi+1)]\displaystyle\left[~{}U_{R}(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})+U_{L}(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})~{}\right] (63)
=v(ni1,ni,ni+1,mi1,mi,mi+1)=g(ni1,ni,mi1,mi1)g(ni1,ni,mi1,mi)g(ni,ni+1mi1,mi+1)g(ni,ni+1,mi,mi+1)\displaystyle=v(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})=\frac{g(n_{i-1},n_{i},m_{i-1},m_{i}-1)}{g(n_{i-1},n_{i},m_{i-1},m_{i})}\frac{g(n_{i},n_{i+1}m_{i}-1,m_{i+1})}{g(n_{i},n_{i+1},m_{i},m_{i+1})} (64)
[VR(ni1,ni,ni+1,mi1,mi,mi+1)+VL(ni1,ni,ni+1,mi1,mi,mi+1)]\displaystyle\left[~{}V_{R}(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})+V_{L}(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})~{}\right] (65)
=u(ni1,ni,ni+1,mi1,mi,mi+1)=g(ni1,ni1,mi1,mi)g(ni1,ni,mi1,mi)g(ni1,ni+1mi,mi+1)g(ni,ni+1,mi,mi+1)\displaystyle=u(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})=\frac{g(n_{i-1},n_{i}-1,m_{i-1},m_{i})}{g(n_{i-1},n_{i},m_{i-1},m_{i})}\frac{g(n_{i}-1,n_{i+1}m_{i},m_{i+1})}{g(n_{i},n_{i+1},m_{i},m_{i+1})} (66)

with the rates u(.)u(.) and v(.)v(.) are related by a constraint

u(ni1,ni,ni+1,mi1,mi,mi+1)u(ni1,ni,ni+1,mi1,mi1,mi+1)=v(ni1,ni,ni+1,mi1,mi,mi+1)v(ni1,ni1,ni+1,mi1,mi,mi+1).\frac{u(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})}{u(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i}-1,m_{i+1})}=\frac{v(n_{i-1},n_{i},n_{i+1},m_{i-1},m_{i},m_{i+1})}{v(n_{i-1},n_{i}-1,n_{i+1},m_{i-1},m_{i},m_{i+1})}. (67)

4.2.2 Observable in two species FRP for K = 1 (PFSS)

Let us consider that the weight function g(ni,ni+1,mi,mi+1)g(n_{i},n_{i+1},m_{i},m_{i+1}) in Eq. (57) can be written by four 2-dimensional vectors as

g(ni,ni+1,mi,mi+1)=αni|βni+1γmi|δmi+1.g(n_{i},n_{i+1},m_{i},m_{i+1})=\langle\alpha_{n_{i}}|\beta_{n_{i+1}}\rangle\langle\gamma_{m_{i}}|\delta_{m_{i+1}}\rangle. (68)

In grand canonical ensemble, the partition sum following Eq. (58) becomes ZL(z,y)=N=0M=0zNyMQL,N,M=Tr[T1(z)]LTr[T2(y)]LZ_{L}(z,y)=\sum_{N=0}^{\infty}\sum_{M=0}^{\infty}z^{N}y^{M}Q_{L,N,M}=\Tr[T_{1}(z)]^{L}~{}\Tr[T_{2}(y)]^{L} where, we now have two fugacities zz and yy that fix the particle densities of the species AA and BB with the transfer matrices

T1(z)=n=0zn|β(n)α(n)|andT2(y)=m=0ym|δ(m)γ(m)|.T_{1}(z)=\sum_{n=0}^{\infty}z^{n}|\beta(n)\rangle\langle\alpha(n)|~{}~{}~{}{\rm and}~{}~{}~{}T_{2}(y)=\sum_{m=0}^{\infty}y^{m}|\delta(m)\rangle\langle\gamma(m)|. (69)

For an example, we consider the 2-dimensional representations as

α(n)|=(1(n+1)ν,n+1(n+1)ν)andβ(n)|=(n+1,1)\displaystyle\langle\alpha(n)|=(\frac{1}{(n+1)^{\nu}},\frac{n+1}{(n+1)^{\nu}})~{}~{}{\rm and}~{}~{}\langle\beta(n)|=(n+1,1) (70)
γ(m)|=(m+1(m+1)ν/2,1(m+1)ν/2)andδ(m)|=(1(m+1)ν/2,m+1(m+1)ν/2)\displaystyle\langle\gamma(m)|=(\frac{m+1}{(m+1)^{\nu/2}},\frac{1}{(m+1)^{\nu/2}})~{}~{}{\rm and}~{}~{}\langle\delta(m)|=(\frac{1}{(m+1)^{\nu/2}},\frac{m+1}{(m+1)^{\nu/2}}) (71)

such that the steady state weight becomes

g(ni,ni+1,mi,mi+1)=(ni+ni+1+2)(ni+1)ν(mi+mi+1+2)(mi+1)ν/2(mi+1+1)ν/2.g(n_{i},n_{i+1},m_{i},m_{i+1})=\frac{(n_{i}+n_{i+1}+2)}{(n_{i}+1)^{\nu}}\frac{(m_{i}+m_{i+1}+2)}{(m_{i}+1)^{\nu/2}(m_{i+1}+1)^{\nu/2}}. (72)

In this case, one can calculate the desired hop rates of both species AA and species BB for which the PFSS with the weight function in Eq. (72) is realized. The Transfer matrix T1(z)T_{1}(z) following Eq. (69) becomes

T1(z)=1z(Liν1(z)Liν2(z)Liν(z)Liν1(z))T_{1}(z)=\frac{1}{z}\left(\begin{array}[]{cc}Li_{\nu-1}(z)&Li_{\nu-2}(z)\\ Li_{\nu}(z)&Li_{\nu-1}(z)\end{array}\right) (73)

and the transfer matrix T2(y)T_{2}(y) is just the transpose of the matrix T1(y)T_{1}(y)

T2(y)=[T1(y)]T.T_{2}(y)=[T_{1}(y)]^{T}. (74)

The eigenvalues of T1(z)T_{1}(z) and T2(y)T_{2}(y) are λ±(z)\lambda_{\pm}(z) and χ±(y)\chi_{\pm}(y) where

λ±(z)=1z(Liν1(z)±Liν(z)Liν2(z))andχ±(y)=λ±(y).\lambda_{\pm}(z)=\frac{1}{z}(Li_{\nu-1}(z)\pm\sqrt{Li_{\nu}(z)Li_{\nu-2}(z)}~{})~{}~{}{\rm and}~{}~{}\chi_{\pm}(y)=\lambda_{\pm}(y). (75)

The partition function ZL(z,y)Z_{L}(z,y) in the thermodynamic limit becomes ZL(z,y)=(λ+(z)Lχ+(y)L)Z_{L}(z,y)=\left(\lambda_{+}(z)^{L}\chi_{+}(y)^{L}\right), as λ+(z)\lambda_{+}(z) and χ+(y)\chi_{+}(y) are the function of zz and yy only, we can write the density fugacity relation of species AA as ρA(z)=zzln(λ+(z))\rho_{A}(z)=z\frac{\partial}{\partial z}\ln(\lambda_{+}(z)) and for species BB ρB(y)=yyln(χ+(y))\rho_{B}(y)=y\frac{\partial}{\partial y}\ln(\chi_{+}(y)).

Refer to caption
Refer to caption
Figure 9: Condensation in two species FRP, (a) curves are from exact calculation; ρA\rho_{A} (ρB)(\rho_{B}) vs zz (y)(y) curve for ν=4.0\nu=4.0 and ν=4.1\nu=4.1, both ρA\rho_{A} and ρB\rho_{B} diverges for ν4.0\nu\leq 4.0 and becomes finite for ν>4.0\nu>4.0, (b) Phase diagram of the condensation transition in ρA\rho_{A} (ρB)(\rho_{B}) - ν\nu plane

The critical density of species AA be ρAC=limz1ρA(z)\rho_{AC}=\lim_{z\rightarrow 1}\rho_{A}(z), and critical density of species BB, ρBC=limy1ρB(y)\rho_{BC}=\lim_{y\rightarrow 1}\rho_{B}(y). It turns out that for both species AA and BB, for ν4\nu\leq 4, the critical densities ρAC\rho_{AC} and ρBC\rho_{BC} diverge. For ν>4\nu>4, as ρAC\rho_{AC} and ρBC\rho_{BC} give finite value as shown in Fig. 9 (a), we can say that we have a condensate when densities exceed the critical value for both species. Thus the model exhibits a phase transition between a fluid phase and a condensed phase where the excess particles condense onto a single site. The phase diagram of the condensation transition in ρA\rho_{A} (ρB)(\rho_{B}) - ν\nu plane is shown in Fig. 9 (b). The critical line ρA\rho_{A} (ρB)(\rho_{B}) separates the condensate phase from the fluid phase.

5 Asymmetric hopping on a triangular lattice

We consider a periodic triangular lattice with sites labeled by i=1,2,,Li=1,2,\cdots,L (see Fig. 10). Each site ii has a non negative integer variable nin_{i}, representing the number of particles at site ii (ni=0n_{i}=0 if the site is vacant). A particle from any randomly chosen site ii, can hop to sites (i1)(i-1) and (i+1)(i+1) with rates vL(.)v_{L}(.) and vR(.)v_{R}(.) respectively and can hop to the sites (i2)(i-2) and (i+2)(i+2) with rates uL(.)u_{L}(.) and uR(.)u_{R}(.). Each of these rates depend on the number of particles of sites (i2,i1,i,i+1,i+2)(i-2,i-1,i,i+1,i+2). To obtain the steady state of this model for this asymmetric rate, we can consider the steady state probability as

Refer to caption
Figure 10: Triangular lattice model, particle at site ii is represented by nin_{i}. A particle from site ii, can hop to sites (i+1)(i+1) and (i1)(i-1) with rates vR(.)v_{R}(.) and vL(.)v_{L}(.) respectively and can hop to sites (i+2)(i+2) and (i2)(i-2) with rates uR(.)u_{R}(.) and uL(.)u_{L}(.) respectively. nin_{i} is the number of particles at site ii.
P({ni})i=1Lg(ni,ni+1)h(ni,ni+2)δ(i=1LniN).P(\{n_{i}\})\propto\prod_{i=1}^{L}g(n_{i},n_{i+1})h(n_{i},n_{i+2})~{}\delta\left(\sum_{i=1}^{L}n_{i}-N\right). (76)

NN is the total number of particles and ρ=NL\rho=\frac{N}{L} is conserved by the dynamics. We will try to obtain the steady state using the MB condition.

5.1 Balance conditions for triangular lattice

  1. 1.

    A PWB condition where flux generated due to a particle hopping from site ii of the configuration C{,ni2,ni1,ni,ni+1,ni+2,}C\equiv\{\cdots,n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2},\cdots\}, to site (i+2)(i+2) is balanced with the flux obtained by a particle hopping from site (i2)(i-2) of another configuration C{,ni2+1,ni1,ni1,ni+1,ni+2,}C^{\prime}\equiv\{\cdots,n_{i-2}+1,n_{i-1},n_{i}-1,n_{i+1},n_{i+2},\cdots\} to site ii. The flux balance scheme described in Eq. (4) gives the following condition

    uR(ni4,ni3,ni2+1,ni1,ni1)P(,ni2+1,ni1,ni1,)\displaystyle u_{R}(n_{i-4},n_{i-3},n_{i-2}+1,n_{i-1},n_{i}-1)P(\cdots,n_{i-2}+1,n_{i-1},n_{i}-1,\cdots) (77)
    =uR(ni2,ni1,ni,ni+1,ni+2)P({ni})\displaystyle=u_{R}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})P(\{n_{i}\}) (78)

    we can verify that the form of the steady state in pair factorized form as in Eq. (76), is indeed possible when the hop rate u(.)u(.) at site ii satisfies the following condition

    uR(ni2,ni1,ni,ni+1,ni+2)\displaystyle u_{R}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2}) =g(ni1,ni1)g(ni1,ni)g(ni1,ni+1)g(ni,ni+1)\displaystyle=\frac{g(n_{i-1},n_{i}-1)}{g(n_{i-1},n_{i})}\frac{g(n_{i}-1,n_{i+1})}{g(n_{i},n_{i+1})} (79)
    ×h(ni2,ni1)h(ni2,ni)h(ni1,ni+2)h(ni,ni+2).\displaystyle\times\frac{h(n_{i-2},n_{i}-1)}{h(n_{i-2},n_{i})}\frac{h(n_{i}-1,n_{i+2})}{h(n_{i},n_{i+2})}. (80)
  2. 2.

    A MB condition where fluxes generated due to the particle hopping from site ii of the configuration C{,ni2,ni1,ni,ni+1,ni+2,}C\equiv\{\cdots,n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2},\cdots\} to sites (i1)(i-1) and (i+1)(i+1) are balanced by the flux obtained by hopping of a particle from site (i+2)(i+2) of another configuration C′′{,ni1,ni+1,ni+2+1,}C^{\prime\prime}\equiv\{\cdots,n_{i}-1,n_{i+1},n_{i+2}+1,\cdots\} to site ii. The flux cancellation scheme in Eq. (4) gives the condition

    uL(ni1,ni+1,ni+2+1,ni+3,ni+4)P(,ni1,ni+1,ni+2+1,,)\displaystyle u_{L}(n_{i}-1,n_{i+1},n_{i+2}+1,n_{i+3},n_{i+4})P(\cdots,n_{i}-1,n_{i+1},n_{i+2}+1,\cdots,) (81)
    =[vR(ni2,ni1,ni,ni+1,ni+2)+vL(ni2,ni1,ni,ni+1,ni+2)]\displaystyle=[~{}v_{R}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})+v_{L}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})~{}] (82)
    ×P({ni}).\displaystyle~{}~{}\times P(\{n_{i}\}). (83)

One can verify that for this model pair-factorized form of steady state (PFSS) as in Eq. (76) is indeed possible using MB and Eq. (83) is satisfied when uR(.)=uL(.)=u(.)u_{R}(.)=u_{L}(.)=u(.) and the hop rates satisfy the conditions

uR(ni2,ni1,ni,ni+1,ni+2)=uL(ni2,ni1,ni,ni+1,ni+2)]=u(ni2,ni1,ni,ni+1,ni+2)\displaystyle u_{R}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})=u_{L}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})]=u(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2}) (84)
=g(ni1,ni1)g(ni1,ni)g(ni1,ni+1)g(ni,ni+1)×h(ni2,ni1)h(ni2,ni)h(ni1,ni+2)h(ni,ni+2)and\displaystyle=\frac{g(n_{i-1},n_{i}-1)}{g(n_{i-1},n_{i})}\frac{g(n_{i}-1,n_{i+1})}{g(n_{i},n_{i+1})}\times\frac{h(n_{i-2},n_{i}-1)}{h(n_{i-2},n_{i})}\frac{h(n_{i}-1,n_{i+2})}{h(n_{i},n_{i+2})}~{}~{}{\rm and}~{} (85)
[vR(ni2,ni1,ni,ni+1,ni+2)+vL(ni2,ni1,ni,ni+1,ni+2)]=u(ni2,ni1,ni,ni+1,ni+2).\displaystyle[v_{R}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})+v_{L}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})]=u(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2}). (86)
(87)

5.2 Calculation of observable in PFSS

We can express the steady state probability P({ni})P(\{n_{i}\}) following Eq. (76) as

P({ni})=1QL,Ni=1LF(ni,ni+1,ni+2)δ(i=1NniN)P(\{n_{i}\})=\frac{1}{Q_{L,N}}\prod_{i=1}^{L}F(n_{i},n_{i+1},n_{i+2})~{}\delta\left(\sum_{i=1}^{N}n_{i}-N\right) (88)

with F(ni,ni+1,ni+2)=g(ni,ni+1)g(ni+1,ni+2)h(ni,ni+2)F(n_{i},n_{i+1},n_{i+2})=\sqrt{g(n_{i},n_{i+1})g(n_{i+1},n_{i+2})}~{}h(n_{i},n_{i+2}) and the canonical partition function as

QL,N=i=1LF(ni,ni+1,ni+2)δ(i=1NniN).Q_{L,N}=\prod_{i=1}^{L}F(n_{i},n_{i+1},n_{i+2})~{}\delta\left(\sum_{i=1}^{N}n_{i}-N\right). (89)

We can rewrite the expression of hop rate u(ni2,ni1,ni,ni+1,ni+2)u(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2}) in terms of the weight function F(.)F(.) following Eqs. (80), (88)

u(ni2,ni1,ni,ni+1,ni+2)=\displaystyle u(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2})= F(ni2,ni1,ni1)F(ni2,ni1,ni)F(ni1,ni1,ni+1)F(ni1,ni,ni+1)\displaystyle\frac{F(n_{i-2},n_{i-1},n_{i}-1)}{F(n_{i-2},n_{i-1},n_{i})}\frac{F(n_{i-1},n_{i}-1,n_{i+1})}{F(n_{i-1},n_{i},n_{i+1})} (90)
×F(ni1,ni+1,ni+2)F(ni,ni+1,ni+2)\displaystyle\times\frac{F(n_{i}-1,n_{i+1},n_{i+2})}{F(n_{i},n_{i+1},n_{i+2})} (91)

and the hop rates vR(ni2,ni1,ni,ni+1,ni+2)v_{R}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2}) and vL(ni2,ni1,ni,ni+1,ni+2)v_{L}(n_{i-2},n_{i-1},n_{i},n_{i+1},n_{i+2}) can be chosen accordingly that they satisfy Eq. (87). Let us consider that the weight function F(ni,ni+1,ni+2)F(n_{i},n_{i+1},n_{i+2}) can be written by three 2-dimensional representation of matrices [29]

F(ni,ni+1,ni+2)=α(ni)|Γ(ni+1)|β(ni+2).F(n_{i},n_{i+1},n_{i+2})=\langle\alpha(n_{i})|\Gamma(n_{i+1})|\beta(n_{i+2})\rangle. (92)

In grand canonical ensemble following Eq. (92), the partition sum can be written as ZL(z)=N=0zNQL,N=Tr[T(z)]LZ_{L}(z)=\sum_{N=0}^{\infty}z^{N}Q_{L,N}=\Tr[T(z)]^{L}, where zz is the fugacity and have a relation with the density of the system as ρ=z(lnZL(z)z)\rho=z\left(\frac{\partial\ln Z_{L}(z)}{\partial z}\right) and the transfer matrix be

T(z)=n=0zn(|β(n)I)Γ(n)(Iα(n)|).T(z)=\sum_{n=0}^{\infty}z^{n}(|\beta(n)\rangle\otimes I)\Gamma(n)(I\otimes\langle\alpha(n)|). (93)

Here, II be the identity matrix of the same dimension and we used the fact that direct product of any two vectors |b|b\rangle and a|\langle a| can be written as |ba|=(Ia|)(|bI)|b\rangle\langle a|=(I\otimes\langle a|)(|b\rangle\otimes I). Now, with a simple choice of the hop rates, the weight function F(ni,ni+1,ni+2)F(n_{i},n_{i+1},n_{i+2}) can be calculated and using transfer matrix following Eq. (93), one can in principle calculate the expectation value of any desired observable [19, 29].

6 Summary

The steady states of non-equilibrium systems are very much dependent on the complexity of the dynamics and it is difficult to track down a systematic procedure to obtain the steady state measure of a system with a given dynamics. In this regard, starting from the Master equation that governs the time evolution of a many particle system in the configuration space, several flux cancellation schemes have been in use for obtaining the exact steady state weight. These schemes include matrix product ansatz (MPA) [14], h-balance scheme [20] and pairwise balance condition (PWB). In this article we introduced a new kind of balance condition, namely multibalance (MB), where the sum of incoming fluxes from a set of configurations to any configuration CC is balanced by the sum of outgoing fluxes to set of configurations chosen suitably.

We have applied MB condition to a class of nonequilibrium lattice models on a ring where particles hop to its nearest neighbours and for some cases next to nearest neighbours, with a rate that depends on the occupation of all the neighbouring sites within a range. We have solved exactly the asymmetric ZRP in two and three dimensions and discussed that a factorized steady state (FSS) can be obtained when hop rates satisfy a specific condition. More over, the asymmetric ZRP in two dimensions exhibits the phenomena negative differential mobility (NDM) [26]. We have discussed the steady states obtained by MB for asymmetric finite range process (FRP) with nearest neighbours and as well as next nearest neighbours hopping. It gives us a steady state in cluster-factorized form (CFSS) which helps us in calculating the steady state average of the observable using Transfer Matrix method introduced earlier [19].

We have also discussed the two species FRP with directional asymmetry in hop rates and shown that this model too has a CFSS. The model with K=0K=0 reduces to the two species zero range process (ZRP) [7] having a FSS. This two species FRP having directional asymmetry, with nearest neighbours and next nearest neighbours hopping, can be solved using the MB condition. The steady state can be obtained for certain conditions on hop rates and one can calculate the steady state observable here. At the last part of our article, we have discussed how this balance condition could be applied for other kind of driven interacting many-particle systems. We have another interesting example, the periodic triangular lattice models (that we introduced here), where a particle from a randomly chosen site can hop to one of its four neighbours with asymmetric rates. MB can be employed to solve this model exactly and obtain a pair factorized steady state (PFSS) under certain conditions on the hop rates.

We should mention that, we have only tried to formulate a new kind of balance condition to obtain the NESS. We emphasized here mainly about the application of this balance condition for different kinds of nonequilibrium models and found the conditions of being steady states. One can easily find out the observable such as density, correlation functions and others at steady state. More importantly, this method could help in finding the exact steady state structure in models even when the interactions extend beyond two sites.

In summary, we introduced a new kind of flux balance condition, namely MB to obtain steady state weights of nonequilibrium systems and demonstrate its utility in many different kinds of non-equilibrium dynamics, including those where the interactions extend beyond two sites. We believe that the MB technique will be very helpful in finding steady state of many other nonequilibrium systems.

The author would like to gratefully acknowledge P. K. Mohanty for his constant encouragement and careful reading of the manuscript. His insightful and constructive comments have helped a lot in improving this work. The author also acknowledges the support of Council of Scientific and Industrial Research, India in the form of a Research Fellowship (Grant No. 09/489(0112)/2019-EMR-I).

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