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Long-Range Zero-Range Process

Updated 1 February 2026
  • LRZRP is a stochastic model where particles jump over long distances with heavy-tailed probabilities, leading to fractional diffusion and anomalous transport.
  • It uses local rate functions and product-form invariant measures to link fugacity with density, forming a basis for studying phase transitions and hydrodynamics.
  • The process exhibits unique condensation phenomena and scaling limits, including fractional Brownian motion and fractional Burgers equations, with extensions to multi-species systems.

The long-range zero-range process (LRZRP) is a stochastic interacting particle system on a lattice, characterized by particle jumps with heavy-tailed transition kernels and local (zero-range) rate functions. It provides a canonical framework for the study of fractional macroscopic behavior, condensation phenomena, and non-equilibrium statistical mechanics. LRZRPs generalize the classic zero-range process by allowing particles to jump over arbitrarily large distances with probability decaying as a power law. This produces novel transport properties, anomalous diffusion, and phase transitions absent from short-range models.

1. Mathematical Definition and Core Dynamics

The LRZRP is defined on the configuration space ηNZd\eta \in \mathbb{N}^{\mathbb{Z}^d}, with %%%%1%%%% the number of particles at site xZdx \in \mathbb{Z}^d. Each particle at site xx jumps to another site yxy \ne x according to a kernel p(yx)=cαyx(d+α)p(y-x) = c_\alpha |y-x|^{-(d+\alpha)} for α(0,2)\alpha \in (0,2), with normalization cαc_\alpha such that z0z(d+α)<\sum_{z \ne 0} |z|^{-(d+\alpha)} < \infty. The local interaction rate is given by a site-dependent function g:N[0,)g: \mathbb{N} \to [0,\infty), satisfying g(0)=0g(0)=0 and bounded linear increments. The generator is

(Ld,αf)(η)=xZdyxg(η(x))yx(d+α)(f(ηx,y)f(η))(\mathcal{L}^{d,\alpha} f)(\eta) = \sum_{x \in \mathbb{Z}^d} \sum_{y \ne x} g(\eta(x))\,|y-x|^{-(d+\alpha)} (f(\eta^{x,y}) - f(\eta))

where ηx,y\eta^{x,y} is the configuration after moving a particle from xx to yy.

The jump kernel produces superdiffusive dynamics for α<2\alpha<2, and the zero-range nature ensures dynamics depend only locally on occupation numbers. Extensions include multi-species LRZRP (Zhao, 2023), generalized two-site interacting LRZRP (Khaleque et al., 2016), and boundary-driven LRZRPs with contacts to reservoirs (Bernardin et al., 2022).

2. Invariant and Non-Equilibrium Measures

For bulk LRZRP on Zd\mathbb{Z}^d, invariant (stationary) measures are product-form grand-canonical distributions:

νβ(η(x)=k)=Z(β)1βkg(1)g(k),Z(β)=k=0βkg(1)g(k)\nu_\beta(\eta(x) = k) = Z(\beta)^{-1} \frac{\beta^k}{g(1)\cdots g(k)}, \quad Z(\beta) = \sum_{k=0}^\infty \frac{\beta^k}{g(1)\cdots g(k)}

The mean density γ=Eνβ[η(0)]\gamma = E_{\nu_\beta}[\eta(0)] increases strictly with β\beta, providing a bijection between fugacity and density.

Under these measures, reversibility and detailed balance hold:

νγ(η)c(η(x))xy(d+α)=νγ(ηx,y)c(η(y)+1)yx(d+α)\nu_\gamma(\eta) c(\eta(x)) |x-y|^{-(d+\alpha)} = \nu_\gamma(\eta^{x,y}) c(\eta(y)+1) |y-x|^{-(d+\alpha)}

Stationarity and ergodicity are established; all polynomial moments are finite (in particular Varνγ[η(0)]<\text{Var}_{\nu_\gamma}[\eta(0)] < \infty).

In open systems with long-range jumps and boundary reservoirs, the stationary state remains a product measure with site-dependent fugacities ϕN(x)\phi_N(x) solving discrete traffic equations. The LRZRP hydrodynamic profile and non-equilibrium current laws are inherited from related exclusion processes via a mapping EZRP[g(η(x))]=(Φ(α)+Φ(β))EEx[ηex(x)]E_{ZRP}[g(\eta(x))] = (\Phi(\alpha)+\Phi(\beta))E_{Ex}[\eta^\text{ex}(x)] (Bernardin et al., 2022).

3. Limit Theorems and Fractional Brownian Macroscale

Central limit theorems for additive functionals of LRZRP reveal dramatic departures from normal diffusive behavior (Xiaofeng, 25 Jan 2026). For local, centered functions VV of the configuration, the additive observable

AtN(V)=0tNV(ηs)dsA^N_t(V) = \int_0^{tN} V(\eta_s)\,ds

after suitable normalization, converges in law (under νγ\nu_\gamma) to a Gaussian process XHX^H with Hurst parameter HH determined by α\alpha and the spatial dimension dd:

  • For d=1d=1, α<1\alpha < 1: normal scaling, ordinary Brownian motion (H=1/2H=1/2).
  • For d=1d=1, 1<α<21 < \alpha < 2: anomalous scaling (N11/(2α)N^{1-1/(2\alpha)}), limit is fractional Brownian motion (fBM) with H=112α(1/2,1)H = 1 - \frac{1}{2\alpha} \in (1/2,1).
  • For d=1d=1, α2\alpha \ge 2: nearest-neighbor exponent H=3/4H=3/4.
  • For d=2d=2, similar phase transitions (Theorem 2.2), while for d3d\ge3 all regimes converge to ordinary Brownian motion.

The proof proceeds via a martingale–Poisson decomposition, local central limit theorems for the underlying long-range random walk, and relaxation-to-equilibrium estimates. In 1<α<21 < \alpha < 2 regimes, fractional Brownian motion arises from the joint limit of martingale and initial-field contributions with independent Gaussian fluctuations (Xiaofeng, 25 Jan 2026).

4. Condensation Phenomena and Phase Structure

Long-range interaction profoundly alters condensation regimes. For generalized (two-site) zero-range models with infinite-range interactions, the steady-state occupation distribution P(n)P(n) displays non-universal behavior in the condensate phase (Khaleque et al., 2016). In mean-field (infinite-range) LRZRP, condensation persists for all p<pc0.33p < p_c \simeq 0.33, with no finite lower bound pl=0p_l = 0. Above pcp_c the system is in a fluid phase.

Condensate-phase scaling follows P(n)Lγ1F(ncLLγ)P(n) \simeq L^{-\gamma-1}F\left(\frac{n-cL}{L^\gamma}\right), with γ\gamma and the condensate mass fraction cc continuously dependent on pp. In sharp contrast, short-range zero-range processes display universal scaling with γ1\gamma \simeq 1 and fixed condensation thresholds pl0.15p_l \simeq 0.15, pc0.44p_c \simeq 0.44. In both cases, above pcp_c the occupation distribution transitions from exponential to Gaussian forms as pp increases.

5. Multi-Species Interactions and Fractional Noise PDEs

Multi-species LRZRP with long jumps and vector occupation numbers ηi(x)\eta^i(x) (for i=1,,ni = 1,\dots,n) admit coupled fractional macroscopic dynamics (Zhao, 2023). Under appropriate scaling, the species-specific density fluctuation fields converge to solutions of coupled fractional Ornstein-Uhlenbeck processes for 0<α<3/20<\alpha<3/2:

tYti=j=1nρjg~i(ρ)LYtj+2g~i(ρ)(S)W˙ti\partial_t Y^i_t = \sum_{j=1}^n \partial_{\rho^j}\tilde g_i(\rho)\,L^* Y^j_t + 2\sqrt{\tilde g_i(\rho)(-S)}\,\dot{W}^i_t

where LL is the fractional generator, and S=(L+L)/2S = (L+L^*)/2 is essentially the fractional Laplacian.

At the critical exponent α=3/2\alpha=3/2 the limit points are stationary energy solutions to the coupled fractional Burgers system:

tYti=(ρig~i)LYti+m2j,k=1nρjρkg~i(YtjYtk)+2g~i(ρ)(S)W˙ti\partial_t Y^i_t = (\partial_{\rho^i}\tilde g_i) L^* Y^i_t + \frac{m}{2} \sum_{j,k=1}^n \partial_{\rho^j \rho^k} \tilde g_i \nabla (Y^j_t Y^k_t) + 2\sqrt{\tilde g_i(\rho)(-S)}\,\dot{W}^i_t

where nonlinearities introduce genuinely non-Gaussian macroscopic behavior analogous to the KPZ universality class but in the fractional context.

6. Non-Equilibrium, Hydrodynamics, and Large Deviations

Boundary-driven LRZRPs with long jumps, coupled to reservoirs at both ends, yield stationary non-equilibrium states governed by fractional macroscopic PDEs. The hydrostatic limit produces deterministic density profiles m(u)m(u), determined via solutions to fractional Laplacian equations, with boundary conditions dependent on reservoir densities and interaction parameters (Bernardin et al., 2022).

The stationary current in the scaling limit is given by a nonlocal Fick's law:

J(u)=D(γ)γ1m(u)J(u) = -D(\gamma)\,\nabla^{\gamma-1} m(u)

with the fractional gradient

γ1m(u)=01m(w)m(u)wuγsgn(wu)dw\nabla^{\gamma-1} m(u) = \int_0^1 \frac{m(w) - m(u)}{|w-u|^{\gamma}}\,\mathrm{sgn}(w-u)\,dw

and diffusion coefficient D(γ)=Cγ(Φ(α)+Φ(β))D(\gamma) = C_\gamma (\Phi(\alpha) + \Phi(\beta)).

Empirical density measures satisfy large-deviation principles at speed NN, with rate function and non-equilibrium free energy given locally by

I(ρ)=01{ρ(u)logΦ(ρ(u))ϕ(u)logZ(Φ(ρ(u)))Z(ϕ(u))}duI(\rho) = \int_0^1 \left\{ \rho(u) \log \frac{\Phi(\rho(u))}{\phi(u)} - \log \frac{Z(\Phi(\rho(u)))}{Z(\phi(u))} \right\} du

This quantifies the cost of density fluctuations and rigorously encodes non-equilibrium thermodynamic structure.

7. Probabilistic and Physical Significance

Long-range jump kernels with exponent α(0,2)\alpha \in (0,2) generate fractional Laplacians on the macroscopic scale, replacing classical diffusive behavior with anomalous transport and sub- or super-diffusive fluctuations. The appearance of fractional Brownian motion and fractional Burgers type equations in scaling limits highlights connections to universality phenomena and anomalous hydrodynamics.

In multi-species LRZRP, coupling between conserved densities leads to collective noise and nonlinear macroscopic equations with rich interspecies interactions and scaling crossovers. The identification with exclusion processes provides systematic derivation of hydrostatics and transport laws. The breakdown of universality in infinite-range models elucidates the effect of interaction topology on phase transitions and scaling regimes.

A plausible implication is that the long-range zero-range process forms a theoretical backbone for understanding fractional diffusion and collective stochastic phenomena in systems with non-local transport, with rigorous connection to the underlying microscopic dynamics and deep analogies to KPZ- and Burgers-type universality classes (Xiaofeng, 25 Jan 2026, Zhao, 2023, Bernardin et al., 2022, Khaleque et al., 2016).

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