Discrete and Continuous Dynamical Systems · 2019 · 99 citations · 0 references
Natural SciencesMathematicsComplex SystemsDynamical SystemsFluid DynamicsConservative SystemsControl Of Dynamical SystemsControl TheoryDissipative SystemsNonlinear DynamicsStability TheoryDissipative Dynamical SystemsGlobal StabilityGlobal Stability AnalysisLyapunov FunctionsLyapunov StabilityStability Of Continuous SystemsStabilizationStabilization Theory
We are concerned with the following full Attraction-Repulsion Keller-Segel (ARKS) system\begin{document}$\left\{ {\begin{array}{*{20}{l}}{{u_t} = \Delta u - \nabla \cdot (\chi u\nabla v) + \nabla \cdot (\xi u\nabla w),}&{x \in \Omega ,t > 0,}\\{{v_t} = {D_1}\Delta v + \alpha u - \beta v,}&{x \in \Omega ,t > 0,}\\{{w_t} = {D_2}\Delta w + \gamma u - \delta w,}&{x \in \Omega ,t > 0,}\\{u(x,0) = {u_0}(x),v(x,0) = {v_0}(x),w(x,0) = {w_0}(x)}&{x \in \Omega ,}\end{array}} \right.\;\;\;\;\left( * \right)$\end{document}in a bounded domain $ \Omega\subset \mathbb{R}^2 $ with smooth boundary subject to homogeneous Neumann boundary conditions. By constructing an appropriate Lyapunov functions, we establish the boundedness and asymptotical behavior of solutions to the system (*) with large initial data $ (u_0,v_0,w_0) \in [W^{1,\infty}(\Omega)]^3 $. Precisely, we show that if the parameters satisfy $ \frac{\xi\gamma}{\chi\alpha}\geq \max\Big\{\frac{D_1}{D_2},\frac{D_2}{D_1},\frac{\beta}{\delta},\frac{\delta}{\beta}\Big\} $ for all positive parameters $ D_1,D_2,\chi,\xi,\alpha,\beta,\gamma $ and $ \delta $, the system (*) has a unique global classical solution $ (u,v,w) $, which converges to the constant steady state $ (\bar{u}_0,\frac{\alpha}{\beta}\bar{u}_0,\frac{\gamma}{\delta}\bar{u}_0) $ as $ t\to+\infty $, where $ \bar{u}_0 = \frac{1}{|\Omega|}\int_\Omega u_0dx $. Furthermore, the decay rate is exponential if $ \frac{\xi\gamma}{\chi\alpha}> \max\Big\{\frac{\beta}{\delta},\frac{\delta}{\beta}\Big\} $. This paper provides the first results on the full ARKS system with unequal chemical diffusion rates (i.e. $ D_1\ne D_2 $) in multi-dimensions.