Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 207

The DOI matches its Crossref record.

Long-range correlations for conservative dynamics

Garrido, Pedro L., Lebowitz, Joel L., Maes, Christian, Spohn, Herbert·1990·Physical Review A

Abstract

We investigate the origin of long-range spatial correlations in certain anisotropic translation-invariant stationary nonequilibrium states of systems with conservative dynamics. We consider both lattice-gas models with anisotropic but reflection-invariant stochastic dynamics and driven diffusive systems described by a Ginzburg-Landau equation with an electric field E. Carrying out perturbation expansions about an equilibrium state with short-range correlations we find that, in general, the spatial correlations in the stationary state decay only via a power law; the spatial decay thus reflects the well-known diffusive decay in time for systems with conservative dynamics. The typical spatial decay of the pair correlation behaves like the electrostatic potential produced by a quadrupole charge density at the origin. Exponential decay of spatial correlations, so familiar from equilibrium, appears here as the exception; it occurs generically only when there are special constraints on the dynamics, such as detailed balance and possibly spatial symmetry. The paradigm for this generic long-range behavior or self-organized criticality is found in the solutions of the linear Langevin equation describing the behavior of fluctuations of a conserved macroscopic variable. The fluctuating hydrodynamics underlying such a description is justified here rigorously for the macroscopic scaling limit of certain lattice-gas models.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physreva.42.1954

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 207

Metadata

Authors
Garrido, P. L., Lebowitz, J. L., Maes, C., & Spohn, H.
Venue
Physical Review A
Published
1990-08-01
Volume
42
Issue
4
Pages
1954-1968
ISSN
  • 0556-2791 (ISSN-L)
  • 1050-2947
  • 1094-1622
OpenAlex
W1991233685
Cited by
207
References
0
FWCI
19.92
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Long-range correlations for conservative dynamics. https://app.cochat.ai/papers/10.1103/physreva.42.1954
The paper
Garrido, P. L., Lebowitz, J. L., Maes, C., & Spohn, H. (1990). Long-range correlations for conservative dynamics. Physical Review A. https://doi.org/10.1103/physreva.42.1954

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.