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Existence of Nonnegative Solutions for a Class of Systems Involving Fractional (p,q)-Laplacian Operators
Authors:Yongqiang FU  Houwang LI and Patrizia PUCCI
Institution:1.Department of Mathematics,Harbin Institute of Technology,Harbin,China;2.Dipartimento di Matematica e Informatica,Università degli Studi di Perugia,Perugia,Italy
Abstract:
The authors study the following Dirichlet problem of a system involving fractional (p, q)-Laplacian operators:
$$\left\{ {\begin{array}{*{20}{c}} {\left( { - \Delta } \right)_p^su = \lambda a\left( x \right){{\left| u \right|}^{p - 2}}u + \lambda b\left( x \right){{\left| u \right|}^{\alpha - 2}}{{\left| v \right|}^\beta }u + \frac{{\mu \left( x \right)}}{{\alpha \delta }}{{\left| u \right|}^{\gamma - 2}}{{\left| v \right|}^\delta }uin\Omega ,} \\ {\left( { - \Delta } \right)_q^sv = \lambda c\left( x \right){{\left| v \right|}^{q - 2}}v + \lambda b\left( x \right){{\left| u \right|}^\alpha }{{\left| v \right|}^{\beta - 2}}v + \frac{{\mu \left( x \right)}}{{\beta \gamma }}{{\left| u \right|}^\gamma }{{\left| v \right|}^{\delta - 2}}vin\Omega ,} \\ {u = v = 0on{\mathbb{R}^N}\backslash \Omega ,} \end{array}} \right.$$
where λ > 0 is a real parameter, Ω is a bounded domain in R N , with boundary ?Ω Lipschitz continuous, s ∈ (0, 1), 1 < pq < ∞, sq < N, while (?Δ) p s u is the fractional p-Laplacian operator of u and, similarly, (?Δ) q s v is the fractional q-Laplacian operator of v. Since possibly pq, the classical definitions of the Nehari manifold for systems and of the Fibering mapping are not suitable. In this paper, the authors modify these definitions to solve the Dirichlet problem above. Then, by virtue of the properties of the first eigenvalue λ1 for a related system, they prove that there exists a positive solution for the problem when λ < λ1 by the modified definitions. Moreover, the authors obtain the bifurcation property when λ → λ1-. Finally, thanks to the Picone identity, a nonexistence result is also obtained when λ ≥ λ1.
Keywords:The Nehari manifold  Fractional $p$-Laplacian  Variational methods
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