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A QUALITATIVE STUDY OF LINEAR DRIFT-DIFFUSION EQUATIONS WITH TIME-DEPENDENT OR DEGENERATE COEFFICIENTS

机译:时变或简并系数的线性漂移扩散方程的定性研究

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This paper is concerned with entropy methods for linear drift-diffusion equations with explicitly time-dependent or degenerate coefficients. Our goal is to establish a list of various qualitative properties of the solutions. The motivation for this study comes from a model for molecular motors, the so-called Brownian ratchet, and from a nonlinear equation arising in traffic flow models, for which complex long time dynamics occurs. General results are out of the scope of this paper, but we deal with several examples corresponding to most of the expected behaviors of the solutions. We first prove a contraction property for general entropies which is a useful tool for uniqueness and for the convergence to some large time asymptotic solutions which may depend on time. Then we focus on power law and logarithmic relative entropies. When the diffusion term is of the type ▽(|x|α▽·), we prove that the inequality relating the entropy with the entropy production term is a Hardy–Poincaré type inequality, that we establish. Here we assume that α ∈ (0,2] and the limit case α = 2 appears as a threshold for the method. As a consequence, we obtain an exponential decay of the relative entropies. In the case of time-periodic coefficients, we prove the existence of a unique time-periodic solution which attracts all other solutions. The case of a degenerate diffusion coefficient taking the form |x|α with α > 2 is also studied. The Gibbs state exhibits a non-integrable singularity. In this case concentration phenomena may occur, but we conjecture that an additional time-dependence restores the smoothness of the asymptotic solution.
机译:本文涉及具有明确时间相关或简并系数的线性漂移扩散方程的熵方法。我们的目标是建立解决方案的各种定性属性列表。这项研究的动机来自分子电动机的模型,即所谓的布朗棘轮,以及交通流模型中产生的非线性方程,这种非线性方程会产生复杂的长期动力学。总体结果超出了本文的范围,但是我们处理了一些与解决方案的大多数预期行为相对应的示例。我们首先证明了一般熵的压缩特性,这对于唯一性以及对于收敛于可能依赖于时间的一些大时间渐近解是有用的工具。然后,我们关注幂律和对数相对熵。当扩散项的类型为▽(| x |α▽·)时,我们证明将熵与熵产生项相关联的不等式是我们建立的Hardy-Poincaré型不等式。在这里,我们假设α∈(0,2]且极限情况α= 2作为该方法的阈值,因此,我们获得了相对熵的指数衰减;在时间周期系数的情况下,我们证明存在一个吸引所有其他解的唯一时间周期解,并研究了退化扩散系数采用| x |α形式且α> 2的情况,吉布斯状态表现出不可积分的奇点。可能会出现案例集中现象,但我们推测额外的时间依赖性可以恢复渐近解的平滑性。

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