The move from Fujita type exponent to a shift of it for a class of semilinear evolution equations with time-dependent damping

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Abstract

In this paper, we derive suitable optimal \(L^p-L^q\) decay estimates, \(1\le p\le 2\le q\le \infty \) , for the solutions to the \(\sigma \) -evolution equation, \(\sigma >1\) , with scale-invariant time-dependent damping and power nonlinearity  \(|u|^p\) , $$\begin{aligned} u_{tt}+(-\Delta )^\sigma u + \frac{\mu }{1+t} u_t= |u|^{p}, \quad t\ge 0, \quad x\in {{\mathbb {R}}}^n, \end{aligned}$$ where  \(\mu >0\) , \(p>1\) . The critical exponent \(p=p_c\) for the global (in time) existence of small data solutions to the Cauchy problem is related to the long time behavior of solutions, which changes accordingly \(\mu \in (0, 1)\) or \(\mu >1\) . Under the assumption of small initial data in \(L^m({{\mathbb {R}}}^n)\cap L^2({{\mathbb {R}}}^n), m=1,2\) , we find the critical exponent at low space dimension n with respect to \(\sigma \) , namely, $$\begin{aligned} p_c= \max \left\{ {{\bar{p}}}(\gamma _{m}), {{\bar{p}}} (\gamma _{m}+\mu -1) \right\} , \quad \gamma _{m}{\mathrm {\,:=\,}}\frac{n}{m\sigma }, \quad \mu >1-\gamma _m, \end{aligned}$$ where \( {{\bar{p}}}(\gamma ){\mathrm {\,:=\,}}1+ \frac{2}{\gamma }\) is the well known Fujita exponent. Hence, \(p_c={{\bar{p}}}(\gamma _{m})\) if \(\mu >1\) , whereas \(p_c={{\bar{p}}} (\gamma _{m}+\mu -1)\) is a shift of Fujita type exponent if \(\mu \in (0, 1)\) .

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一类具有随时间变化的阻尼的半线性演化方程的指数从藤田型指数到它的移动
Abstract In this paper, we derive suitable optimal \(L^p-L^q\) decay estimates, \(1\le p\le 2\le q\le \infty \) , for the solutions to the \(\sigma \) -evolution equation, \(\sigma >;1) ,具有尺度不变的随时间变化的阻尼和功率非线性 \(|u|^p\) 、 $$\begin{aligned} u_{tt}+(-\Delta )^\sigma u + \frac{\mu }{1+t} u_t= |u|^{p}, \quad t\ge 0, \quad x\in {{\mathbb {R}}}^n, \end{aligned}$$ 其中 \(\mu >;0) , \(p>1\) 。考奇问题小数据解的全局(时间)存在性的临界指数\(p=p_c\)与解的长时间行为有关,它相应地改变了\(\mu \in (0, 1)\) or\(\mu >1\) 。在 \(L^m({{\mathbb {R}}^n)\cap L^2({{\mathbb {R}}^n), m=1,2\) 小初始数据的假设下),我们就能找到低空间维度n下与(\sigma \)相关的临界指数,即:$$\begin{aligned} p_c= \max \left\{{{bar{p}}(\gamma _{m}), {{\bar{p}} (\gamma _{m}+\mu -1) \right\}, \quad \gamma _{m}{mathrm {\,:=\,}}\frac{n}{m\sigma }, \quad \mu >1-\gamma _m, \end{aligned}$$ where \( {{\bar{p}}(\gamma ){\mathrm {\,:=\,}}1+ \frac{2}{\gamma }\) 是众所周知的藤田指数。因此,如果 \(\mu >1\), \(p_c={{\bar{p}} (\gamma _{m}+\mu -1)\) 是藤田型指数的移动,如果 \(\mu\in (0, 1)\) 。
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