ISSN:

1937-5093

eISSN:

1937-5077

All Issues

## Kinetic & Related Models

April 2020 , Volume 13 , Issue 2

Select all articles

Export/Reference:

*+*[Abstract](177)

*+*[HTML](58)

*+*[PDF](533.06KB)

**Abstract:**

We present a stochastic version of the Cucker-Smale flocking dynamics described by a system of

*+*[Abstract](182)

*+*[HTML](60)

*+*[PDF](1670.08KB)

**Abstract:**

Motivated by modeling transport processes in the growth of neurons, we present results on (nonlinear) Fokker-Planck equations where the total mass is not conserved. This is either due to in- and outflow boundary conditions or to spatially distributed reaction terms. We are able to prove exponential decay towards equilibrium using entropy methods in several situations. As there is no conservation of mass it is difficult to exploit the gradient flow structure of the differential operator which renders the analysis more challenging. In particular, classical logarithmic Sobolev inequalities are not applicable any more. Our analytic results are illustrated by extensive numerical studies.

*+*[Abstract](185)

*+*[HTML](65)

*+*[PDF](5653.39KB)

**Abstract:**

We study spatially non-homogeneous kinetic models for vehicular traffic flow. Classical formulations, as for instance the BGK equation, lead to unconditionally unstable solutions in the congested regime of traffic. We address this issue by deriving a modified formulation of the BGK-type equation. The new kinetic model allows to reproduce conditionally stable non-equilibrium phenomena in traffic flow. In particular, stop and go waves appear as bounded backward propagating signals occurring in bounded regimes of the density where the model is unstable. The BGK-type model introduced here also offers the mesoscopic description between the microscopic follow-the-leader model and the macroscopic Aw-Rascle and Zhang model.

*+*[Abstract](184)

*+*[HTML](64)

*+*[PDF](619.95KB)

**Abstract:**

We consider the Fokker-Planck equation with an external magnetic field. Global-in-time solutions are built near the Maxwellian, the global equilibrium state for the system. Moreover, we prove the convergence to equilibrium at exponential rate. The results are first obtained on spaces with an exponential weight. Then they are extended to larger functional spaces, like certain Lebesgue spaces with polynomial weights and modified weighted Sobolev spaces, by the method of factorization and enlargement of the functional space developed in [Gualdani, Mischler, Mouhot, 2017].

*+*[Abstract](157)

*+*[HTML](67)

*+*[PDF](435.49KB)

**Abstract:**

This paper is devoted to Fokker-Planck and linear kinetic equations with very weak confinement corresponding to a potential with an at most logarithmic growth and no integrable stationary state. Our goal is to understand how to measure the decay rates when the diffusion wins over the confinement although the potential diverges at infinity. When there is no confinement potential, it is possible to rely on Fourier analysis and mode-by-mode estimates for the kinetic equations. Here we develop an alternative approach based on moment estimates and Caffarelli-Kohn-Nirenberg inequalities of Nash type for diffusion and kinetic equations.

*+*[Abstract](101)

*+*[HTML](51)

*+*[PDF](414.61KB)

**Abstract:**

We are concerned with the global existence and long time behavior of the solutions to the ES-FP model for diatomic gases proposed in [

*+*[Abstract](115)

*+*[HTML](59)

*+*[PDF](482.03KB)

**Abstract:**

We study the asymptotic behavior of a second-order swarm model on the unit sphere in both particle and kinetic regimes for the identical cases. For the emergent behaviors of the particle model, we show that a solution to the particle system with identical oscillators always converge to the equilibrium by employing the gradient-like flow approach. Moreover, we establish the *uniform-in-time*

2018 Impact Factor: 1.38

## Readers

## Authors

## Editors

## Referees

## Librarians

## Email Alert

Add your name and e-mail address to receive news of forthcoming issues of this journal:

[Back to Top]