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I had a couple of questions on it, and we really didn't make enough progress to justify submitting it before class. You can do that after class!
The upshot is that linear functions are good approximations to smooth functions (functions with derivatives), if you zoom in close enough.
We can see why this works well if we get "small enough", if we visit the website suggested by our authors.
Differentials versus increments
The increment is the true change in the function value; the differential approximates the true change: One way to remember the difference:
$dy \approx \Delta y$
We want the increment, but may settle for the easily computed differential.
The answer takes us back to the second derivative: