Using **qualitative** and **quantitative** in the context of singular values in SVD

Question

I am dealing with singular value decomposition of a matrix $\mathbf{A}$

\begin{equation} \mathbf{A}=\mathbf{U}^{}\mathbf{\Sigma^{}} \mathbf{V}^{T}=\sum_{i=1}^{rank(\mathbf{A})}\sigma_i^{}\mathbf{u}_i^{}\mathbf{v}_i^{T} \end{equation}

1. If $rank(\mathbf{A})=1$, we say $\mathbf{A}$ is separable.Period.
2. Consider another situation where $rank(\mathbf{A})=k>1$ but $\frac{\sigma_i}{\sigma_1}\leq\epsilon<<1\quad\forall\quad2\leq i\leq k$. In this case we would be inclined to say that $\mathbf{A}$ is nearly separable.

I am trying to use the following two terms: qualitative and quantitative to express this idea.

My question is: would it be correct to say that in (1) $\mathbf{A}$ is quantitatively separable whereas in (2) $\mathbf{A}$ is qualitatively separable