Fouad Et-Tahri, Jon Asier Bárcena-Petisco, Idriss Boutaayamou, Lahcen Maniar
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引用次数: 0
摘要
本文旨在解决塞尔吉奥-格雷罗(Sergio Guerrero)和吉勒-勒博(Gilles Lebeau)在 2007 年发表的论文 "运输-扩散方程的奇异最优控制 "中提出的一个有趣的开放问题。该问题涉及研究具有诺依曼条件的输运-扩散方程的空可控成本,其中扩散系数用 ε > 0 $$ \varepsilon >0 $$ 表示,速度用 B ( x , t ) $$ \mathfrak{B}\left(x,t\right) $$ 表示。我们的目标有两个。首先,我们研究了每条从 Ω ‾ $$ \overline{\Omega} $$ 出发的速度轨迹 B $$ \mathfrak{B} $ $ 在固定的进入时间内以较短时间进入控制区域的情况。通过使用阿格蒙不等式和耗散不等式,以及在 B ( x , t ) $$ \mathfrak{B}\left(x,t\right) $$ 是随时间变化的标量场的梯度时的卡勒曼估计,我们确定了在足够小的 ε $$ \varepsilon $$ 和较大的控制时间内,控制成本仍然是有界的。其次,我们探讨了至少有一条轨迹未能进入控制区域而停留在 Ω $ \Omega $ 的情况。在这种情况下,我们证明当扩散性接近于零且控制时间足够小时,控制成本会以指数形式爆炸。
On Uniform Null Controllability of Transport–Diffusion Equations With Vanishing Viscosity Limit
This paper aims to address an interesting open problem, posed in the paper “Singular Optimal Control for a Transport-Diffusion Equation” of Sergio Guerrero and Gilles Lebeau in 2007. The problem involves studying the null controllability cost of a transport–diffusion equation with Neumann conditions, where the diffusivity coefficient is denoted by
and the velocity by
. Our objective is twofold. First, we investigate the scenario where each velocity trajectory
originating from
enters the control region in a shorter time at a fixed entry time. By employing Agmon and dissipation inequalities, and Carleman estimate in the case
is the gradient of a time-dependent scalar field, we establish that the control cost remains bounded for sufficiently small
and large control time. Secondly, we explore the case where at least one trajectory fails to enter the control region and remains in
. In this scenario, we prove that the control cost explodes exponentially when the diffusivity approaches zero and the control time is sufficiently small for general velocity.
期刊介绍:
Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome.
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