本文用有限维逼近无限维的方法来讨论函数空间中的总体最优化问题。
New optimality conditions of the integral global minimization are applied to characterize global minimum in functional space as a sequence of approximating solutions in finite-dimensional Spaces.
本文分别将华氏自伴矩阵几何与对称矩阵几何基本定理推广到无限维的情形。
We extend Hua′s fundamental theorems of the geometry of self-adjoint matrices and symmetric matrices to the infinite-dimensional case.
该方法不是从第一原理出发，因为耗散环境应该被看成是自由度为无限维的谐振子或原子系统，对它的求解最好的方式是求解约化密度矩阵方程。
This method is not from the first principle. A better approach is based on the reduced density matrix, which eliminate the infinite number of the freedoms of the dissipative environment.
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