Hydrodynamics without boost-invariance from kinetic theory: From perfect fluids to active flocks

We derive the hydrodynamic equations of perfect fluids without boost invariance [J. de Boer et al., SciPost Phys. 5, 003 (2018)] from kinetic theory. Our approach is to follow the standard derivation of the Vlasov hierarchy based on an a-priori unknown collision functional satisfying certain axiomatic properties consistent with the absence of boost invariance. The kinetic theory treatment allows us to identify various transport coefficients in the hydrodynamic regime. We identify a drift term that effects a relaxation to an equilibrium where detailed balance with the environment with respect to momentum transfer is obtained. We then show how the derivative expansion of the hydrodynamics of flocks can be recovered from boost non-invariant kinetic theory and hydrodynamics. We identify how various coefficients of the former relate to a parameterization of the so-called equation of kinetic state that yields relations between different coefficients, arriving at a symmetry-based understanding as to why certain coefficients in hydrodynamic descriptions of active flocks are naturally of order one, and others, naturally small. When inter-particle forces are expressed in terms of a kinetic theory influence kernel, a coarse-graining scale and resulting derivative expansion emerge in the hydrodynamic limit, allowing us to derive diffusion terms as infrared-relevant operators distilling different parameterizations of microscopic interactions. We conclude by highlighting possible applications.

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Publication Details

Journal
SciPost Physics
Published
2025-09-25
DOI
https://doi.org/10.21468/scipostphys.19.3.071
Citations
3
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
3.77
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article

Hydrodynamics without boost-invariance from kinetic theory: From perfect fluids to active flocks

Subodh P. Patil, Kevin T. Grosvenor, Niels A. Obers
3 citations
SciPost Physics
Micro and Nano Robotics
3.77
article

Hydrodynamics without boost-invariance from kinetic theory: From perfect fluids to active flocks

Subodh P. Patil, Kevin T. Grosvenor, Niels A. Obers
article en
3 citations

Abstract

We derive the hydrodynamic equations of perfect fluids without boost invariance [J. de Boer et al., SciPost Phys. 5, 003 (2018)] from kinetic theory. Our approach is to follow the standard derivation of the Vlasov hierarchy based on an a-priori unknown collision functional satisfying certain axiomatic properties consistent with the absence of boost invariance. The kinetic theory treatment allows us to identify various transport coefficients in the hydrodynamic regime. We identify a drift term that effects a relaxation to an equilibrium where detailed balance with the environment with respect to momentum transfer is obtained. We then show how the derivative expansion of the hydrodynamics of flocks can be recovered from boost non-invariant kinetic theory and hydrodynamics. We identify how various coefficients of the former relate to a parameterization of the so-called equation of kinetic state that yields relations between different coefficients, arriving at a symmetry-based understanding as to why certain coefficients in hydrodynamic descriptions of active flocks are naturally of order one, and others, naturally small. When inter-particle forces are expressed in terms of a kinetic theory influence kernel, a coarse-graining scale and resulting derivative expansion emerge in the hydrodynamic limit, allowing us to derive diffusion terms as infrared-relevant operators distilling different parameterizations of microscopic interactions. We conclude by highlighting possible applications.

SciPost PhysicsVol. 19(3)
Nordic Institute for Theoretical Physics (SE), Leiden University (NL), Stockholm University (SE), KTH Royal Institute of Technology (SE), University of the Philippines Diliman (PH)
Openalex Percentile: Top 6%
Micro and Nano Robotics
3.77
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Hydrodynamics without boost-invariance from kinetic theory: From perfect fluids to active flocks — Subodh P. Patil, Kevin T. Grosvenor, et al. · SciPost Physics (2025) | TGRS Research Map | TGRS