So what you're saying is we can transform lerp, or linear interpolation, into an object for a framework. An abstract object that includes, namely, parameters or

So what you're saying is we can transform lerp, or linear interpolation, into an object for a framework. An abstract object that includes, namely, parameters or defining constraints like sampling rate and two singular values, for computing the realizable relationship among those three input values. What can we model with an understanding of a formalized lerp? With the caveat that it's best to model phenomena with lots of multidimensional data associated with observations of them. We're gonna need a bigger, more encompassing framework for understanding.