论文标题
部分可观测时空混沌系统的无模型预测
On supercritical elliptic problems: existence, multiplicity of positive and symmetry breaking solutions
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
The main thrust of our current work is to exploit very specific characteristics of a given problem in order to acquire improved compactness for supercritical problems and to prove existence of new types of solutions. To this end, we shall develop a variational machinery in order to construct a new type of classical solutions for a large class of supercritical elliptic partial differential equations.\\ The issue of symmetry and symmetry breaking is challenging and fundamental in mathematics and physics. Symmetry breaking is the source of many interesting phenomena namely phase transitions, instabilities, segregation, etc. As a consequence of our results we shall establish the existence of several symmetry breaking solutions when the underlying problem is fully symmetric. Our methodology is variational, and we are not seeking non symmetric solutions which bifurcate from the symmetric one. Instead, we construct many new positive solutions by developing a minimax principle for general semilinear elliptic problems restricted to a given convex subset instead of the whole space. As a byproduct of our investigation, several new Sobolev embeddings are established for functions having a mild monotonicity on symmetric monotonic domains.
