1,721,023 research outputs found

    Positive solutions of an indefinite prescribed mean curvature problem on a general domain

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    The existence of positive solutions is proved for theprescribed mean curvature problem\displaystyle- \,{\rm div} \left( {\nabla u}/{\sqrt{1+\|\nabla u\|^2}}\right) =\lambda f(x,u) +g(x,u) \mbox{ in }\, \Omega,\hfill\quadu(x) = 0 \mbox{ on }\, \partial \Omega,where ΩRN\Omega\subset\mathbb R^N is a bounded smoothdomain, not necessarily radially symmetric.We assume that 0uf(x,s)ds\int_0^u f(x,s)\, ds is locallysubquadratic at00,0ug(x,s)ds\int_0^u g(x,s)\, ds is superquadratic at 00 and λ>0\lambda>0is sufficiently small. A multiplicity result is alsoobtained, when0uf(x,s)ds\int_0^uf(x,s)\, ds has an oscillatory behaviour near 00. We allow ff and gg to change sign in any neighbourhoodof00

    Multiple positive solutions of a one-dimensional prescribed mean curvature problem

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    We discuss existence, non-existence and multiplicity of positive solutions of the Dirichlet problem for the one-dimensional prescribed curvature equation [GRAPHICS] in connection with the changes of concavity of the function f. The proofs are based on an upper and lower solution method, we specifically develop for this problem, combined with a careful analysis of the time-map associated with some related autonomous equations

    Existence to singular boundary value problems with sign changing nonlinearities using an approximation method approach

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    summary:This paper studies the existence of solutions to the singular boundary value problem }u=g(t,u)+h(t,u),t(0,1),u(0)=0=u(1), \left\rbrace \begin{array}{ll}-u^{\prime \prime }=g(t,u)+h(t,u),\quad t\in (0,1) , u(0)=0=u(1), \end{array}\right. where g(0,1)×(0,)Rg\:(0,1)\times (0,\infty )\rightarrow \mathbb{R} and h(0,1)×[0,)[0,)h\:(0,1)\times [0,\infty )\rightarrow [0,\infty ) are continuous. So our nonlinearity may be singular at t=0,1t=0,1 and u=0u=0 and, moreover, may change sign. The approach is based on an approximation method together with the theory of upper and lower solutions
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