论文标题
封闭的字符串场理论没有级别匹配条件
Closed string field theory without the level-matching condition
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。
In formulating covariant closed string field theories, we have always used closed string fields with the level-matching condition. Recently, open superstring field theories including the Ramond sector were constructed, and one approach was to use open superstring fields with a constraint analogous to the level-matching condition for closed string fields. There is another approach developed by Sen, where no constraints are imposed on open superstring fields but additional free string fields are introduced so that covariant kinetic terms for the Ramond sector were constructed. Motivated by this development, we construct closed string field theory without imposing the level-matching condition on the closed string field, while we introduce an additional free string field. This is the first implementation of general covariance in the context of string theory without using the level-matching condition. We explicitly expand the string fields up to the level relevant to massless fields, and we confirm the equivalence to the theory with the level-matching condition up to decoupled free fields.
