I am reading a paper and it says that it's better to express a vector of a distribution $\boldsymbol{b}$ as a product of a singular matrix $\Lambda$ and a spherical distribution $\boldsymbol{u}$, that is, $\boldsymbol{b}=\Lambda\boldsymbol{u}$.
My question is: is there a obvious or any reason to do so?