The open questions left by Golse, Lions, Perthame and Sentis (GLPS) in their 1988 paper 'Regularity of the moments of the solution of a transport equation' concern the velocity averaging lemma: if solves the stationary transport equation on and the velocity variable is averaged against a measure satisfying a power-law nondegeneracy condition, then the moment gains fractional regularity in . GLPS proved the gain in the Sobolev space (with the nondegeneracy exponent of , the conjugate exponent) and raised the natural sharpness questions. The time-dependent (evolution) variant is absorbed into the modern theory; the sharp exponents are known for the Lebesgue measure () in all , ; and the endpoint fails in general, with a substantial but incomplete substitute theory. What remains open is the general-measure core: necessary and sufficient conditions on for a given Sobolev gain, the endpoint characterization at and , and the classification of compactness versus failure regimes.
Background
The subject is the regularity in the position variable of velocity averages (also called moments) of solutions of linear transport equations. A moment of a phase-space function is the weighted velocity integral , where is a positive bounded measure on velocity space and is a test weight. A velocity averaging lemma asserts that if solves a transport equation, in the sense of distributions, with source , then is smoother than a generic function of alone: averaging in restores a fraction of an -derivative. Here smoothness is measured in the Sobolev space (functions with fractional derivatives in ) or the Besov space (a finer scale, obtained by real interpolation, that refines ; roughly contains functions whose smoothness holds at a weak, modulus-of-continuity level). The fundamental result is due to Golse, Lions, Perthame and Sentis (1988), with a compactness precursor by Golse-Perthame-Sentis (1985) and an independent discovery by Agoshkov (1984) in transport theory. GLPS consider the stationary equation on with of the phase space (with respect to the product measure ) and satisfying the power-law nondegeneracy condition (their (2.1)): for all , where is the unit sphere of , with ; this says that no hyperplane through the origin carries too much of the measure, with a power-law rate. Their Theorem 1 gives the Hilbertian gain (where ) together with a dyadic-interpolation inequality, and their Theorem 2 gives for , , . They complement the positive theory with: an compactness criterion for families of moments under uniform integrability (every moment lying below a fixed convex superlinear function, the de la Vallée-Poussin condition); extensions to bounded convex spatial domains with inflow boundary traces (the part of the boundary where the velocity field points inward); Marcinkiewicz weak- estimates (bounds in the weak space of functions for which stays bounded as varies) in mixed spaces; a Hölder gain in dimension ; and counterexamples, notably an example (Example 1, p. 123) showing that moments of solutions can concentrate on rays and need not gain any Sobolev regularity, plus a kernel family for which equicontinuity fails under bounds. Velocity averaging lemmas became a basic tool wherever kinetic equations feed macroscopic limits: the hydrodynamic limits of the Boltzmann equation, the DiPerna-Lions weak solutions of Vlasov-Maxwell, kinetic formulations of scalar conservation laws, and dispersion estimates for Schrödinger-type equations; a 2025 survey by Golse, Mauser and Möller covers the classical, quantum and semi-classical variants. The literature that grew out of GLPS developed along several lines: DiPerna-Lions-Meyer and Bézard extended to and Besov scales; Lions and DeVore-Petrova settled the sharp exponents for the Lebesgue measure; Golse-Saint-Raymond, Arsénio-Masmoudi and Arsénio-Lerner built the and duality theory; Jabin-Vega developed real-space methods based on the X-ray transform (the operator integrating a function of position over straight lines, which is the geometry along which the transport equation propagates information); Arsénio and Saint-Raymond connected averaging to hypoellipticity (the phenomenon that solutions of certain degenerate equations are smooth wherever their data are smooth) and compactness; and Erceg, Karlsen and Mitrović reduced the hypotheses on the measure to minimal nondegeneracy assumptions. Terms used below: a velocity measure is the measure over which the velocity averaging is performed; a compactness regime is a set of hypotheses on a family of solutions under which the family of moments is relatively compact (equicontinuous after normalization) in a function space on alone; an endpoint is the case or of an scale.
Problem Statement
Let be a positive bounded measure on satisfying the GLPS power-law nondegeneracy condition for all and some , and let be a smooth compactly supported velocity weight. For solutions (in the sense of distributions) of the stationary transport equation with source , the moment belongs to the Sobolev space for every , (GLPS Theorem 2). The surviving open core of the questions raised in the source paper is: (i) Sharpness for general measures: determine necessary and sufficient conditions on the measure for the moment to lie in . This part requires both of: (a) the sharp gain that holds uniformly over all measures satisfying the power-law nondegeneracy condition with exponent — in particular, whether the bound is the best possible such uniform gain, that is, the worst case over the class — and (b) whether the fine geometry of a fixed measure can force a gain strictly larger than that uniform bound, together with what geometric property of governs the maximal exponent (the nondegeneracy condition is only an upper bound on the concentration of , so a single measure may satisfy it with several exponents , as the Lebesgue case and the mixed-integrability theory illustrate). (ii) Endpoints: characterize the behavior at , where the naive conclusion fails by the known ray-concentration counterexample, by identifying the exact substitute space (weak-type, Besov , or otherwise) for moments of solutions; and characterize the endpoint, for which no result is known. (iii) Compactness classification: for families of solutions bounded in together with their sources, classify the regimes in which the corresponding family of moments is relatively compact (equicontinuous) in the natural function space on alone — relative compactness in , weak relative compactness at the endpoint , and strong compactness in the Sobolev space furnished by the averaging estimate with — versus the regimes in which concentration or oscillation destroys compactness, completing the counterexample program of the source paper. Each of (i)-(iii) is an independent open problem: a complete answer to any one of them resolves that corresponding part of the open core, and the open core as a whole is addressed only when all three parts are answered. The time-dependent variant, the Lebesgue-measure sharpness for , and the failure of the naive conclusion are settled in the literature and are not part of the open core; no other restriction is imposed on , , , or the integrability class.
References
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- D. Arsénio, N. Masmoudi, 'Maximal gain of regularity in velocity averaging lemmas', Anal. PDE 12(2) (2019) 333-388. https://doi.org/10.2140/apde.2019.12.333
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- I.-K. Chen, P.-H. Chuang, C.-H. Hsia, J.-K. Su, 'A Revisit of the Velocity Averaging Lemma: on the Regularity of Stationary Boltzmann Equation in a Bounded Convex Domain', arXiv:2011.00180 (2020). https://arxiv.org/abs/2011.00180 (bounded-domain application with fractional Sobolev gains up to order )
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- T. Erceg, K. H. Karlsen, D. Mitrović, 'Regularity of velocity averages in kinetic equations with heterogeneity', arXiv:2507.04102 (2025). https://arxiv.org/abs/2507.04102 (regularity of velocity averages for equations with -dependent drift under a quantitative non-degeneracy condition)
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