The zero-range process with heavy-tailed long jumps on , in contact with two infinitely extended reservoirs of densities , is one of the rare interacting particle systems with a semi-explicit non-equilibrium stationary state in a genuinely superdiffusive regime. Bernardin, Gonçalves, Oviedo-Jiménez and Scotta (J. Stat. Phys. 189, Art. 32, 2022) proved its hydrostatic limit in mean, a fractional Fick's law with the case excluded, and a static large-deviation principle for the empirical density under the hypothesis that the partition function is entire. The authors themselves state that the hydrodynamic limits are not derived, and ask (Remark 2.17) for the exact behaviour of the hydrostatic profile at the boundary points, where it is non-differentiable for a range of parameters. All of these gaps were still open as of 2026: the hydrodynamic limit and dynamical large deviations of this model are explicitly recorded as open in recent work, and among boundary-driven superdiffusive lattice gases with non-compact state space only static large-deviation principles are known. The problem posed here is to complete the rigorous macroscopic theory of this model, namely: (A) the hydrodynamic limit and the dynamical large-deviation principle (macroscopic fluctuation theory) for all reservoir strengths and jump tails ; (B) the exact boundary asymptotics of the hydrostatic profile; (C) the doubly-critical case ; (D) the condensation regime or ; and (E) the static large-deviation principle beyond an entire partition function.
Background
A zero-range process is a continuous-time Markov chain on occupation-number configurations with , in which the rate at which a particle leaves a site depends only on the number of particles at that site: a jump occurs at rate with . On a fixed finite box the process has a family of invariant product measures whose one-site marginal is , where is a fugacity, , and is the partition function; the mean density is . If has finite radius of convergence , then maps onto with the critical density, above which the process condenses (a macroscopic fraction of the mass accumulates on sites).
The model studied here, introduced by Bernardin, Gonçalves, Oviedo-Jiménez and Scotta (2022; BGJOS22 below), is the boundary-driven version with long jumps: with and a normalizing constant, a heavy-tailed Lévy-stable kernel with infinite variance, so the dynamics is superdiffusive (the bulk evolves on the time scale for , and for , instead of the diffusive ). The box is coupled to two infinitely extended reservoirs: the left reservoir occupies all sites and the right one all sites , and each site of exchanges particles with reservoir sites at rate , ; the reservoir densities enter through their fugacities , where . The parameter tunes the strength of the reservoirs ( fast reservoirs, critical, slow reservoirs). The non-equilibrium stationary state (NESS, i.e. the stationary state that carries a stationary current between the reservoirs) exists for and is a product measure with fugacity profile solving an explicit finite linear traffic equation.
BGJOS22 established three classes of stationary (hydrostatic) results. First, a hydrostatic limit in mean: the macroscopic density profile is , where is the stationary profile of the companion boundary-driven exclusion process with long jumps, characterized case by case as the weak solution of stationary equations for the regional fractional Laplacian (the generator of the symmetric Lévy process censored to , ): a reaction-diffusion equation with non-homogeneous Dirichlet boundary data when , a Dirichlet problem when with , fractional Robin conditions when , and fractional Neumann conditions (constant profile) for slower reservoirs. Second, a fractional Fick's law: the mean stationary current across the macroscopic point , normalized by for or for , converges to an explicit functional of and of the reservoir reaction rates — with the doubly-critical case , excluded, and in that same case even the exclusion profile is left uncharacterized. Third, a static large-deviation principle (LDP) at speed for the empirical density under the NESS, with explicit rate function (the non-equilibrium free energy), proved under the analyticity hypothesis , i.e. for an entire partition function.
These are static results only. Macroscopic fluctuation theory (MFT) — the dynamical LDP for the empirical density from which the static rate function should emerge as a quasi-potential, and the general framework organizing non-equilibrium stationary states of diffusive systems — is not available for boundary-driven superdiffusive lattice gases; BGJOS22 explicitly presents its results as a first step toward an MFT for superdiffusive systems. The connection it exploits between the zero-range and exclusion NESS is a static, expectation-level identity that does not transfer to time-dependent evolution, and the hydrodynamic limit available for the companion exclusion process (Bernardin–Cardoso–Gonçalves–Scotta 2023) does not yield one for the zero-range process. The problem below asks to close the gaps that BGJOS22 itself acknowledges.
Problem Statement
Complete the rigorous macroscopic theory of the boundary-driven zero-range process with long jumps of BGJOS22 — the same microscopic model (occupation numbers on ; bulk jumps at rate with , ; exchanges with the infinitely extended reservoirs at rates with , ; time scale ; reservoir densities through their fugacities ) and the same conventions — by resolving the following five linked open questions, which together close every regime and every statement that paper leaves open:
(A) Hydrodynamic limit and dynamical large deviations. Derive, for all and , the hydrodynamic limit of the empirical density starting from general initial conditions (identify the limiting evolution — expected to be given by regional fractional operators with the boundary conditions that appear as the stationary cases of the hydrostatic classification — and prove convergence in the standard weak sense), and prove the dynamical large-deviation principle for the empirical measure, thereby establishing macroscopic fluctuation theory for this boundary-driven superdiffusive lattice gas and recovering the static rate function of BGJOS22 as the quasi-potential of the dynamical functional.
(B) Boundary behaviour of the hydrostatic profile (Remark 2.17 of BGJOS22). In the parameter ranges with , in which the hydrostatic profile is non-differentiable at and (for instance with , and with ), determine the exact asymptotics of as and : the rate, including any logarithmic corrections, and the constants.
(C) The doubly-critical case , . Characterize the stationary profile ( and hence ) and the -scaled stationary current in the case excluded from the hydrostatic limit and the fractional Fick's law of BGJOS22, where the reservoir reaction rates carry logarithmic corrections.
(D) The condensation regime. For or , prove or refute the assertion of Remark 2.4 of BGJOS22 that condensation appears and the invariant measure does not exist because mass grows at the boundaries.
(E) Static large deviations beyond an entire partition function. Extend the static LDP of Theorem 2.20 to jump rates for which has finite radius of convergence (condensing zero-range dynamics), including the treatment of the singular behaviour of the rate function as the density approaches the critical density .
Components (A)–(E) are the explicitly acknowledged limitations of BGJOS22 for this single model and jointly support one overarching objective, the completion of its rigorous macroscopic description from hydrostatics to a full macroscopic fluctuation theory; an answer that resolves every one of them — where resolving a component may consist in rigorously establishing that it is vacuous (for example non-existence of the invariant measure in (D)) — completes the program. Partial answers resolving individual components are meaningful steps toward it.
References
- Cédric Bernardin, Patrícia Gonçalves, Byron Oviedo-Jiménez, Stefano Scotta, "Non-equilibrium Stationary Properties of the Boundary Driven Zero-Range Process with Long Jumps", Journal of Statistical Physics 189(3), Article 32 (2022). DOI: 10.1007/s10955-022-02987-3; arXiv:2201.07573. https://doi.org/10.1007/s10955-022-02987-3
- Cédric Bernardin, Pedro Cardoso, Patrícia Gonçalves, Stefano Scotta, "Hydrodynamic limit for a boundary driven super-diffusive symmetric exclusion", Stochastic Processes and their Applications 165, 43–95 (2023). DOI: 10.1016/j.spa.2023.08.002; arXiv:2007.01621. https://doi.org/10.1016/j.spa.2023.08.002
- Oslenne Araújo, Patrícia Gonçalves, Adriana Neumann, Maria Chiara Ricciuti, "Hydrodynamic Limit of the Symmetric Zero-Range Process with Slow Boundary" (2025). arXiv:2508.19447. https://arxiv.org/abs/2508.19447
- Cédric Bernardin, Raphaël Chétrite, "Macroscopic Fluctuation Theory for Ginzburg–Landau Dynamics with Long-Range Interactions", Journal of Statistical Physics 192(1), Article 7 (2025). DOI: 10.1007/s10955-024-03384-8; arXiv:2405.08212. https://doi.org/10.1007/s10955-024-03384-8
- Cédric Bernardin, Patrícia Gonçalves, João Pedro Mangi, "Fractional Macroscopic Fluctuation Theory for a Superdiffusive Ginzburg–Landau dynamics" (2026). arXiv:2603.25957. https://arxiv.org/abs/2603.25957
- Cédric Bernardin, Byron Oviedo-Jiménez, "Fractional Fick's law for the boundary driven exclusion process with long jumps", Latin American Journal of Probability and Mathematical Statistics (ALEA) 14, 473–501 (2017). DOI: 10.30757/alea.v14-25. https://doi.org/10.30757/alea.v14-25
- E. Levine, D. Mukamel, G. M. Schütz, "Zero-Range Process with Open Boundaries", Journal of Statistical Physics 120(5–6), 759–778 (2005). DOI: 10.1007/s10955-005-7000-7. https://doi.org/10.1007/s10955-005-7000-7
- Gioia Carinci, Chiara Franceschini, Rouven Frassek, Cristian Giardinà, Frank Redig, "Large Deviations and Additivity Principle for the Open Harmonic Process", Communications in Mathematical Physics 406(5), Article 103 (2025). DOI: 10.1007/s00220-025-05271-z. https://doi.org/10.1007/s00220-025-05271-z
- Patrícia Gonçalves, Stefano Scotta, "Diffusive to super-diffusive behavior in boundary driven exclusion", Markov Processes and Related Fields 28(1), 149–178 (2022). arXiv:2004.03978. https://arxiv.org/abs/2004.03978