ASYMMETRIC FUBINI-STUDY METRIC ON THE TOTAL GRASSMANNIAN
Grassmannian; asymmetric metric; Fubini-Study; angles between subspaces; Grassmann algebra
There are several applications for metrics on Grassmannians, such as machine learning, wireless communication, and computer vision. However, computing the distances between subspaces of different dimensions presents challenges, especially due to the dimensional asymmetry of these subspaces. Therefore, it is necessary to use asymmetric metrics to deal with this situation. In this work, we extend the Fubini-Study metric as an asymmetric angle, which has useful properties and is easy to compute.