Mathematical tools for kinetic equations
By Benoit Perthame. 2004
109 citations recorded by the source corpus.
Since the nineteenth century, when Boltzmann formalized the concepts of kinetic equations, their range of application has been considerably extended. First introduced as a means to unify various perspectives on fluid mechanics, they are now used in plasma physics, semiconductor technology, astrophysics, biology.... They all are characterized by a density function that satisfies a Partial Differential Equation in the phase space. This paper presents some of the simplest tools that have been devised to study more elaborate (coupled and nonlinear) problems. These tools are basic estimates for the linear first order kinetic-transport equation. Dispersive effects allow us to gain time decay, or space-time Lp integrability, thanks to Strichartz-type inequalities. Moment lemmas gain better velocity integrability, and macroscopic controls transform them into space Lp integrability for velocity integrals. These tools have been used to study several nonlinear problems. Among them we mention for example the Vlasov equations for mean field limits, the Boltzmann equation for collisional dilute flows, and the scattering equation with applications to cell motion (chemotaxis). One of the early successes of kinetic theory has been to recover macroscopic equations from microscopic descriptions and thus to be able theoretically to compute transport coefficients. We also present several examples of the hydrodynamic limits, the diffusion limits and especially the recent derivation of the Navier-Stokes system from the Boltzmann equation, and the theory of strong field limits.
Subfields: Applied Mathematics, Computational Mechanics, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/594915a2a20754e9223766ad00e3783145960887
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Nicola Bellomo
- Christian Dogbé
- Vincent Calvez
- Nikolaos Bournaveas
- Susana Guti'errez
- Eitan Tadmor
- Terence Tao
- Benoit Perthame
In Computational Mechanics
- Eitan Tadmor
- Nicola Bellomo
- Christian Dogbé
- Nikolaos Bournaveas
- Vincent Calvez
- Susana Guti'errez
- Terence Tao
- Benoit Perthame
In Mathematical Physics
- Nicola Bellomo
- Christian Dogbé
- Eitan Tadmor
- Vincent Calvez
- Nikolaos Bournaveas
- Susana Guti'errez
- Terence Tao
- Benoit Perthame
Citations in the corpus
- PDE Models for Chemotactic Movements: Parabolic, Hyperbolic and Kinetic (2004, background): “We refer to [30, 56] for a general mathematical theory for kinetic equations.”
- Velocity averaging, kinetic formulations, and regularizing effects in quasi‐linear PDEs (2007, background): “This reveals the interplay between Kružkov entropy inequalities and the underlying kinetic formulation; for nonlinear conservation laws, kinetic solutions coincide with the entropy solutions [36, 40, 43].”
- Global Existence for a Kinetic Model of Chemotaxis via Dispersion and Strichartz Estimates (2007, methodology): “In particular the compactness can be gained using averaging lemmas (see [22] for instance) provided we get some a priori estimate on the LL-norm of f with q > 1.”
- On the Modeling of Traffic and Crowds: A Survey of Models, Speculations, and Perspectives (2011, methodology): “The conceptual background for the derivation of kinetic-type models of traffic flow is classical mathematical kinetic theory [180].”