Citation: Diane Denny. Existence of a solution to a semilinear elliptic equation[J]. AIMS Mathematics, 2016, 1(3): 208-211. doi: 10.3934/Math.2016.3.208
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In this paper, we consider the following equation for u
−Δu=f(u)−1|Ω|∫Ωf(u)dx | (1.1) |
under periodic boundary conditions. The domain Ω=TN, the N-dimensional torus, with N=2,3. Here f is a given smooth function of u for u(x)∈G⊂R.
We will prove that there exists a solution u to equation (1.1) which is unique if |dfdu(u0)|<1(C0)2, where u0∈G is a given constant and where C0 is the constant from Poincarés inequality. And we will prove that the solution u is not unique if dfdu(u0) is a simple eigenvalue of −Δ.
In previous related work, many researchers have studied the equation −Δu=f(u)+g. Existence of a solution u to the equation −Δu=f(u)+g has been proven for a Dirichlet boundary condition u|∂Ω=0 (see, e.g., [1, 2, 5, 7]) under certain conditions on f and, g. And existence of a solution u to the equation −Δ,,u=f(u)+g has been proven for a Neumann boundary condition ∂u∂n|∂Ω=h (see, e.g., [3, 4, 6]) under certain conditions on f and g. We have not seen any work by other researchers on the existence of a solution u to equation (1.1) under periodic boundary conditions. And we have not seen any work by other researchers which contains the particular condition that |dfdu(u0)|<1(C0)2, where C0 is the constant from Poincarés inequality and where u0 is a given constant in the domain of the function dfdu.
In the proof that follows, we use the standard notation for the L2(Ω) norm of a function g, namely, ‖g‖20=∫Ω|g|2dx. And we denote the inner product as (g,h)=∫Ωghdx. Also, we let Du denote the gradient of a function u. We also use the notation |dfdu|0,¯G1=max, where \frac{df}{du} is a function of u and where \overline{G}_1 \subset \mathbb{R} is a closed bounded interval.
The purpose of this article is to prove the following theorem.
Theorem 2.1. Consider the following equation for u
-\Delta u=f(u)-\frac{1}{|\Omega|}\int_{\Omega} f(u)d\mathbf{x} | (2.1) |
where the domain \Omega=\mathbb{T}^N, the N-dimensional torus, with N=2 or N=3, and where f is a given smooth function of u for u(\mathbf{x}) \in G \subset \mathbb{R}. Let u_0 \in G be a given constant. Then we have the following two cases:
(1) If |\frac{d f}{d u}(u_0) | < \frac{1}{(C_0)^2}, where C_0 is the constant from Poincarés inequality, then there exists a unique classical solution u(\mathbf{x})\in \overline{G}_1 to equation (2.1) which satisfies the condition u(\mathbf{x}_0)=u_0, where \overline{G}_1 \subset G \subset \mathbb{R} and where u_0 \in \overline{G}_1 and where \mathbf{x}_0 \in \Omega is a given point. This unique classical solution is u=u_0.
(2) If \frac{df}{du} (u_0) is a simple eigenvalue of -\Delta then there exists a solution u of equation (2.1) which is not the constant function u_0. This solution u may not necessarily satisfy the condition u(\mathbf{x}_0)=u_0. }
Proof.
We will consider separately each of the two cases from the statement of the theorem. First, we will consider Case 1 from the statement of Theorem 2.1
Suppose that |\frac{d f}{d u}(u_0) | < \frac{1}{(C_0)^2}, where C_0 is the constant from Poincarés inequality and where u_0 \in G is a given constant. It follows that there exists a closed bounded interval \overline{G}_1 \subset G such that u_0 \in \overline{G}_1 and such that |\frac{d f}{d u} |_{0, \overline{G}_1} < \frac{1}{(C_{0})^2}, where |\frac{d f}{d u} |_{0, \overline{G}_1}=\max\{|\frac{d f}{d u} (u_{*}) |:u_{*} \in \overline{G}_1\}. Suppose that u is a classical solution of equation (2.1) such that u(\mathbf{x}) \in \overline{G}_1 for all \mathbf{x} \in \Omega and u satisfies the condition u(\mathbf{x}_0)=u_0, where \mathbf{x}_0 \in \Omega is a given point. We will now prove that this solution is u=u_0.
From equation (2.1), and from using integration by parts and Poincarés inequality, we obtain the following estimate for \Vert D u\Vert_{0}^2:
\begin{gathered} \left\| {Du} \right\|_0^2=(-\Delta u, u-\frac{1}{{|\Omega |}}\int_\Omega u d{\mathbf{x}}) \\=(f(u)-\frac{1}{{|\Omega |}}\int_\Omega f (u)d{\mathbf{x}}, u-\frac{1}{{|\Omega |}}\int_\Omega u d{\mathbf{x}}) \\ \leq {\left\| {f(u)-\frac{1}{{|\Omega |}}\int_\Omega f (u)d{\mathbf{x}}} \right\|_0}{\left\| {u-\frac{1}{{|\Omega |}}\int_\Omega u d{\mathbf{x}}} \right\|_0} \\ \leq {({C_0})^2}{\left\| {Df(u)} \right\|_0}{\left\| {Du} \right\|_0} \\ \end{gathered} | (2.2) |
where we used Poincarés inequality to obtain \|u-\frac{1}{|\Omega|}\int_{\Omega} u d\mathbf{x} \|_0 \leq C_0 \|D u \|_0 and \|f(u)-\frac{1}{|\Omega|}\int_{\Omega} f(u)d\mathbf{x} \|_0 \leq C_0 \|Df(u) \|_0.
From (2.2) we obtain the inequality
\begin{gathered} \left\| {Du} \right\|_0^2 \leq {({C_0})^4}\left\| {Df(u)} \right\|_0^2 \\ \leq {({C_0})^4}|\frac{{df}}{{du}}|_{{L^\infty }(\Omega)}^2\left\| {Du} \right\|_0^2 \\ \leq {({C_0})^4}|\frac{{df}}{{du}}|_{0, {{\bar G}_1}}^2\left\| {Du} \right\|_0^2 \\ \end{gathered} | (2.3) |
where we used the assumption that u(\mathbf{x})\in \overline{G}_1 for all \mathbf{x}\in \Omega, and so it follows that |\frac{d f}{d u} |_{L^{\infty}(\Omega)}\leq |\frac{d f}{d u} |_{0, \overline{G}_1}, where |\frac{d f}{d u} |_{0, \overline{G}_1}=\max\{|\frac{d f}{d u} (u_{*}) |:u_{*} \in \overline{G}_1\}.
Since \Big|\frac{d f}{du} \Big|_{0, \overline{G}_1}^2 < \frac{1}{(C_0)^4}, it follows from (2.3) that \Vert D u\Vert_{0}=0 and so the solution u of equation (2.1) is a constant. Therefore the solution u=u_0 is the unique classical solution of equation (2.1) in \overline{G}_1 which satisfies the condition u(\mathbf{x}_0)=u_0. This completes the proof of Case 1 in the statement of Theorem 2.1.
Next, we consider Case 2 in the statement of Theorem 2.1. We now prove that if \frac{d f}{du} (u_0) is a simple eigenvalue of -\Delta then there exists a solution u of equation (2.1) which is not the constant solution u_0. We remark that this solution u may not necessarily satisfy the condition that u(\mathbf{x}_0)=u_0, where \mathbf{x}_0 \in \Omega is a given point.
We begin by letting v=u-u_0 and write equation (2.1) equivalently as
\begin{gathered}-\Delta v=-\Delta u=f(u)-\frac{1}{{|\Omega |}}\int_\Omega f (u)d{\mathbf{x}} \\=(f(u)-f({u_0}))-\frac{1}{{|\Omega |}}\int_\Omega {(f(} u)-f({u_0}))d{\mathbf{x}} \\=(\frac{{df}}{{du}}({u_0} + {t_1}(u-{u_0})))(u-{u_0})-\frac{1}{{|\Omega |}}\int_\Omega (\frac{{df}}{{du}}({u_0} + {t_1}(u-{u_0})))(u-{u_0})d{\mathbf{x}} \\=(\frac{{df}}{{du}}({u_0} + {t_1}v))v-\frac{1}{{|\Omega |}}\int_\Omega (\frac{{df}}{{du}}({u_0} + {t_1}v))vd{\mathbf{x}} \\ \end{gathered} | (2.4) |
where t_{1} \in (0, 1). Here we used the mean value theorem.
We next obtain the identity
\begin{gathered} \frac{{df}}{{du}}({u_0} + {t_1}v)=\frac{{df}}{{du}}({u_0} + {t_1}v)-\frac{{df}}{{du}}({u_0}) + \frac{{df}}{{du}}({u_0}) \\=(\frac{{{d^2}f}}{{d{u^2}}}({u_0} + {t_2}({t_1}v))){t_1}v + \frac{{df}}{{du}}({u_0}) \\ \end{gathered} | (2.5) |
where t_{2} \in (0, 1). And we again used the mean value theorem.
Substituting (2.5) into (2.4) yields
-\Delta v=\frac{{df}}{{du}}({u_0})v + (\frac{{{d^2}f}}{{d{u^2}}}({u_0} + {t_2}({t_1}v))){t_1}{v^2}-\frac{1}{{|\Omega |}}\int_\Omega (\frac{{df}}{{du}}({u_0} + {t_1}v))vd{\mathbf{x}} | (2.6) |
where v=u-u_0, where t_{1} \in (0, 1), and where t_{2} \in (0, 1).
We can write equation (2.6) in the form
\Delta v+ \lambda v=g(v) | (2.7) |
where \lambda=\frac{d f}{du}(u_{0}) and where g(v)=-\Big(\frac{d^2 f}{du^2}(u_0+t_{2}(t_{1}v))\Big)t_{1}v^2 +\frac{1}{|\Omega|}\int_{\Omega}\Big(\frac{d f}{du}(u_{0}+t_{1}v)\Big) v d\mathbf{x}.
Let F(v, \lambda)=\Delta v+ \lambda v-g(v) . We will apply the the implicit function theorem to the equation F(v, \lambda)=0. Note that g(0)=0 and g^{\prime}(0)=0 .
If \lambda=\frac{d f}{du}(u_{0}) is not an eigenvalue of -\Delta, it follows from the implicit function theorem that v=0 is the only small solution to the equation F(v, \lambda)=0 when F(v, \lambda)=\Delta v+ \lambda v-g(v) and when g(0)=0 and g^{\prime}(0)=0 (see, e.g., [7]). Therefore u=u_0 is the only solution of equation (2.1) in a neighborhood of u_0.
If \lambda=\frac{d f}{du}(u_{0}) is a simple eigenvalue of -\Delta, it follows from the implicit function theorem that there exists a non-trivial solution v to the equation F(v, \lambda)=0 when F(v, \lambda)=\Delta v+ \lambda v-g(v) and when g(0)=0 and g^{\prime}(0)=0 (see, e.g., [7]). Therefore there exists a solution u to equation (2.1) which is not the constant function u_0.
This completes the proof of Theorem 2.1.
[1] | Haim Brezis and Walter A. Strauss, Semi-linear second-order elliptic equations in L1, J. Math.Soc. Japan 25 (1973), no. 4, 565-590. |
[2] | L. Evans, Partial Differential Equations, Graduate Studies in Mathematics 19, American Mathematical Society, Providence, Rhode Island, 1998. |
[3] | J.P. Gossez and P. Omari, A necessary and su cient condition of nonresonance for a semilinear Neumann problem, Proceedings of the American Mathematical Society 114 (1992), no. 2, 433-442. |
[4] | Chaitan P. Gupta, Perturbations of second order linear elliptic problems by unbounded nonlinearities,Nonlinear Analysis: Theory, Methods & Applications 6 (1982), no. 9, 919-933. |
[5] | P.L. Lions, On the existence of positive solutions of semilinear elliptic equations, SIAM Review 24(1982), no. 4, 441-467. |
[6] | Jason R. Looker, Semilinear elliptic Neumann problems with rapid growth in the nonlinearity, Bull.Austral. Math. Soc. 74 (2006), 161-175. |
[7] | M. Renardy and R. Rogers, An Introduction to Partial Di erential Equations, Springer-Verlag:New York, 1993. |