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Iterations of anti-selfdual Lagrangians and applications to Hamiltonian systems and multiparameter gradient flows

机译:反自拉格朗日迭代法及其在哈密顿系统和多参数梯度流中的应用

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Anti-selfdual Lagrangians on a state space lift to path space provided one adds a suitable selfdual boundary Lagrangian. This process can be iterated by considering the path space as a new state space for the newly obtained anti-selfdual Lagrangian. We give here two applications for these remarkable permanence properties. In the first, we establish for certain convex-concave Hamiltonians H on a-possibly infinite dimensional-symplectic space H-2, the existence of a solution for the Hamiltonian system -Ju(t) is an element of aM(u(t)) that connects in a given time T > 0, two Lagrangian submanifolds. Another application deals with the construction of multiparameter flows, including those generated by vector fields that represent superpositions of skew-adjoint operators with gradients of convex potentials. Our methods are based on the new variational calculus for anti-selfdual Lagrangians developed in [5-7].
机译:如果一个状态空间添加了合适的自对偶边界拉格朗日,则状态空间上的反自我拉格朗日提升到路径空间。通过将路径空间视为新获得的反自拉格朗日算子的新状态空间,可以迭代此过程。对于这些非凡的持久性,我们在这里给出了两个应用。首先,我们在可能为无穷维的辛空间H-2上建立某些凸凹哈密顿量H,哈密顿量系统-Ju(t)的解的存在是aM(u(t)的元素)在给定时间T> 0中连接两个拉格朗日子流形。另一个应用程序涉及多参数流的构造,包括由矢量场生成的那些,这些矢量场表示具有凸电势梯度的倾斜伴随算符的叠加。我们的方法是基于[5-7]中针对反自拉格朗日派开发的新的变分演算。

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