Least Energy Sign-Changing Solution for N-Kirchhoff Problems with Logarithmic and Exponential Nonlinearities

IF 0.7 4区 数学 Q2 MATHEMATICS Complex Analysis and Operator Theory Pub Date : 2024-03-08 DOI:10.1007/s11785-024-01495-4
Ting Huang, Yan-Ying Shang
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Abstract

In this paper, we are concerned with the existence of least energy sign-changing solutions for the following N-Laplacian Kirchhoff-type problem with logarithmic and exponential nonlinearities:

$$\begin{aligned} \left\{ \begin{array}{ll} -\left( a+b \int _{\Omega }|\nabla u|^{N} d x\right) \Delta _{N} u=|u|^{p-2} u \ln |u|^{2}+\lambda f(u), &{} \text{ in } \Omega , \\ u=0, &{} \text{ on } \partial \Omega , \end{array}\right. \end{aligned}$$

where f(t) behaves like \(\ exp\left( {\alpha |t|^{{\frac{N}{{N - 1}}}} } \right) \). Combining constrained variational method, topological degree theory and quantitative deformation lemma, we prove that the problem possesses one least energy sign-changing solution \(u_{b}\) with precisely two nodal domains. Moreover, we show that the energy of \(u_{b}\) is strictly larger than two times of the ground state energy and analyze the convergence property of \(u_{b}\) as \(b\searrow 0\).

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具有对数和指数非线性的 N-Kirchhoff 问题的最小能量符号变化解法
在本文中,我们关注以下具有对数和指数非线性的 N-拉普拉斯基尔霍夫型问题的最小能量符号变化解的存在: $$\begin{aligned}\left\{ \begin{array}{ll} -\left( a+b \int _{Omega }|\nabla u|^{N} d x\right) \Delta _{N} u=|u|^{p-2} u \ln |u|^{2}+\lambda f(u), &{}\text{ in }\u=0, &{}\text{ on }\部分 \Omega , \end{array}\right.\end{aligned}$where f(t) behaves like \(\ exp\left( {\alpha |t|^{\frac{N}{{N - 1}}}} } \right) \)。结合约束变分法、拓扑度理论和定量变形lemma,我们证明该问题有一个能量最小的符号变化解\(u_{b}\),恰好有两个结点域。此外,我们还证明了 \(u_{b}\) 的能量严格大于基态能量的两倍,并分析了 \(u_{b}\) 作为 \(b\searrow 0\) 的收敛特性。
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来源期刊
CiteScore
1.20
自引率
12.50%
发文量
107
审稿时长
3 months
期刊介绍: Complex Analysis and Operator Theory (CAOT) is devoted to the publication of current research developments in the closely related fields of complex analysis and operator theory as well as in applications to system theory, harmonic analysis, probability, statistics, learning theory, mathematical physics and other related fields. Articles using the theory of reproducing kernel spaces are in particular welcomed.
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