28,246 research outputs found

    Symmetry of Nodal Solutions for Singularly Perturbed Elliptic Problems on a Ball

    Get PDF
    In [40], it was shown that the following singularly perturbed Dirichlet problem \ep^2 \Delta u - u+ |u|^{p-1} u=0, \ \mbox{in} \ \Om,\] \[ u=0 \ \mbox{on} \ \partial \Om has a nodal solution u_\ep which has the least energy among all nodal solutions. Moreover, it is shown that u_\ep has exactly one local maximum point P_1^\ep with a positive value and one local minimum point P_2^\ep with a negative value and, as \ep \to 0, \varphi (P_1^\ep, P_2^\ep) \to \max_{ (P_1, P_2) \in \Om \times \Om } \varphi (P_1, P_2), where \varphi (P_1, P_2)= \min (\frac{|P_1-P_2}{2}, d(P_1, \partial \Om), d(P_2, \partial \Om)). The following question naturally arises: where is the {\bf nodal surface} \{ u_\ep (x)=0 \}? In this paper, we give an answer in the case of the unit ball \Om=B_1 (0). In particular, we show that for \epsilon sufficiently small, P_1^\ep, P_2^\ep and the origin must lie on a line. Without loss of generality, we may assume that this line is the x_1-axis. Then u_\ep must be even in x_j, j=2, ..., N, and odd in x_1. As a consequence, we show that \{ u_\ep (x)=0 \} = \{ x \in B_1 (0) | x_1=0 \}. Our proof is divided into two steps: first, by using the method of moving planes, we show that P_1^\ep, P_2^\ep and the origin must lie on the x_1-axis and u_\ep must be even in x_j, j=2, ..., N. Then, using the Liapunov-Schmidt reduction method, we prove the uniqueness of u_\ep (which implies the odd symmetry of u_\ep in x_1). Similar results are also proved for the problem with Neumann boundary conditions

    Multi-interior-spike solutions for the Cahn-Hilliard equation with arbitrarily many peaks

    Get PDF
    We study the Cahn-Hilliard equation in a bounded smooth domain without any symmetry assumptions. We prove that for any fixed positive integer K there exist interior KK--spike solutions whose peaks have maximal possible distance from the boundary and from one another. This implies that for any bounded and smooth domain there exist interior K-peak solutions. The central ingredient of our analysis is the novel derivation and exploitation of a reduction of the energy to finite dimensions (Lemma 5.5) with variables which are closely related to the location of the peaks. We do not assume nondegeneracy of the points of maximal distance to the boundary but can do with a global condition instead which in many cases is weaker

    On a Two Dimensional Reaction-Diffusion System with Hypercyclical Structure

    Get PDF
    We study a hypercyclical reaction-diffusion system which arises in the modeling of catalytic networks and describes the emerging of cluster states. We construct single cluster solutions in full two-dimensional space and then establish their stability or instability in terms of the number N of components. We provide a rigorous analysis around the single cluster solutions, which is new for systems of this kind. Our results show that as N increases, the system becomes unstable

    Clustered spots in the FitzHugh-Nagumo system

    Get PDF
    We construct {\bf clustered} spots for the following FitzHugh-Nagumo system: \left\{\begin{array}{l}\ep^2\Delta u +f(u)-\delta v =0\quad \mbox{in} \ \Om,\\[2mm]\Delta v+ u=0 \quad \mbox{in} \ \Om,\\[2mm] u= v =0 \quad\mbox{on} \ \partial \Om, \end{array} \right. where \Om is a smooth and bounded domain in R2R^2. More precisely, we show that for any given integer KK, there exists an \ep_{K}>0 such that for 0<\ep <\ep_K,\, \ep^{m^{'}} \leq \delta \leq \ep^m for some positive numbers mā€²,mm^{'}, m, there exists a solution (u_{\ep},v_{\ep}) to the FitzHugh-Nagumo system with the property that u_{\ep} has KK spikes Q_{1}^\ep, ..., Q_K^\ep and the following holds: (i) The center of the cluster \frac{1}{K} \sum_{i=1}^K Q_i^\ep approaches a hotspot point Q_0\in\Om. (ii) Set l^\ep=\min_{i \not = j} |Q_i^\ep -Q_j^\ep| =\frac{1}{\sqrt{a}} \log\left(\frac{1}{\delta \ep^2 }\right) \ep ( 1+o(1)). Then (\frac{1}{l^\ep} Q_1^\ep, ..., \frac{1}{l^\ep} Q_K^\ep) approaches an optimal configuration of the following problem: {\it (āˆ—)Ā Ā Ā  (*) \ \ \ Given KK points Q1,...,QKāˆˆR2Q_1, ..., Q_K \in R^2 with minimum distance 11, find out the optimal configuration that minimizes the functional āˆ‘i=Ģøjlogā”āˆ£Qiāˆ’Qjāˆ£\sum_{i \not = j} \log |Q_i-Q_j|}
    • ā€¦
    corecore