In this paper, we generalize the normalized gradient flow method which was first applied to computing the least energy ground state to compute the least action ground state. A continuous normalized gradient flow (CNGF) will be presented and the action diminishing property will be proved to provide a mathematical justification of the gradient flow with discrete normalization (GFDN). Then we use backward-forward Euler method to further discretize the GFDN in time which leads to the GFDN-BF scheme. It is shown that the GFDN-BF scheme preserves the positivity and diminishes the action unconditionally. We compare it with other three schemes which are modified from corresponding ones designed for the least energy ground state and the numerical results show that the GFDN-BF scheme performs much better than the others in accuracy, efficiency and robustness for large time steps. Extensive numerical results of least action ground states for several types of potentials are provided. We also use our numerical results to verify some existing results and lead to some conjectures.
翻译:在本文中,我们推广了最初用于计算最低能量地面状态以计算最低行动地面状态的正常梯度流法。将介绍连续的正常梯度流(CNGF),并且将证明减少财产的行动能以离散的正常状态(GFDN)为梯度流提供数学上的理由。然后,我们使用后向向梯度法进一步分散GFDN,从而导致GFDN-BF计划。显示GFDN-BF计划保留了相对性,并无条件地减少了行动。我们将其与其他三个计划进行比较,这三个计划与为最小能源地面状态设计的相应计划进行了修改,而数字结果显示,GFDN-BF计划在大量时间步骤上比其他计划在准确性、效率和稳健性方面表现得好得多。我们提供了若干种潜在潜力的最小行动地面国家的广泛数量结果。我们还利用我们的数字结果来核实某些现有结果并导致一些推测。