The WKB approximation gives meaningful approximative solutions to the $1$-dimensional, time-independent Schroedinger equation
$$ -\frac{\hbar^{2}}{2m} \frac{d^{2}}{dx^{2}} \Psi(x) +V(x)\Psi(x)=E\Psi (x)$$
under the assumption that the potential $V(x)$ 'varies slowly' on the scale of the wavelength $\lambda$. I asked here about the precise way to express this vague formulation of 'slowly varying potential' $V(x)$ on wave length scale in mathematical terms.
Now my question is if it's possible to express in general context the vague phrase that 'some quantity $A(x)$ varies slowly on certain given scale $ ds $ (eg say $ds \approx 10^{-16}m$) of $x$' as a concise $ blabla(ds, A(x)) \ll 1 $ statement? To be more precise that blabla term should be an appropiate expression $ B(ds, A(x)) $ we are looking for, which as expected should depend on the scale $ ds $, the quantity $ A(x)$ and possibly it's derivatives and which should formally characterize the statement that $A(x)$ is assumed to vary slowly on the sclae $ds$.
How I think about this: let denote by $ds$ the 'scale' on which $A(x)$ should vary slowly. Then intuitively the statement that '$A(x)$ varies slowly on certain given scale of $x$' could be also roughly rephrased as if $x_0$ is any argument of $A(x)$ and we chose a $x \in [x_0-ds, x_0+ds]$ then the difference $\vert A(x_0)-A(x) \vert$ is 'small'.
By "small" I mean that in all consequent calculations we can set all as "small" considered terms to be zero and would obtain results consistent to experiments / effects performed / detected on the characteristic scale $ \sim ds$.
A naive guess: Can it be formulated like $\vert \frac{A(x_0)-A(x)}{A(x_0)} \vert \ll 1$ for any $x \in [x_0-ds, x_0+ds]$?
Alternatively, can it be expressed in terms of first and second derivatives like
$$\left| \frac{A''(x)}{A'(x)}\right| \cdot ds \ll 1$$
and if yes are these two ways to characterize that $A(x)$ varies slowly on scale $ ds $ of $x$ equivalent or is there a more standard way to formulate this condition in mathematical terms? So it's really a question only about to transform a sloppy statement to a precise one.