
The authors study the combined effect of concave and convex nonlinearities on the number of solutions for an indefinite semilinear elliptic system of the type \[ \begin{cases} -\Delta u=f_\lambda(x)|u|^{q-2}u+{\alpha\over{\alpha+\beta}}h(x)|u|^{\alpha-2}u|v|^\beta &\text{in}\;\Omega,\\ -\Delta v=g_\mu(x)|v|^{q-2}v+{\beta\over{\alpha+\beta}}h(x)|u|^{\alpha}|v|^{\beta-2}v &\text{in}\;\Omega,\\ u=v=0 &\text{on}\;\partial\Omega, \end{cases} \] involving critical exponents and sign-changing weight functions. In particular, \(\Omega\subset\mathbb R^N\) is a bounded domain, \(N\geq3\), \(0\in\Omega\), \(\alpha\), \(\beta>1\), \(\alpha+\beta=2^\ast ={{2N}\over{N-2}}\), \(q\in(1,2),\) \(\lambda\), \(\mu\geq 0\). Using the Nehari manifold, the authors prove that the system have at least two nontrivial nonnegative solutions when the pair of the parameters \((\lambda,\mu)\) belongs to a certain subset of \(\mathbb R^2\).
Second-order elliptic systems, Nehari manifold, indefinite semilinear elliptic systems, critical Sobolev exponent, Critical exponents in context of PDEs, multiple positive solutions
Second-order elliptic systems, Nehari manifold, indefinite semilinear elliptic systems, critical Sobolev exponent, Critical exponents in context of PDEs, multiple positive solutions
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
