We are about to wrap up Chapter 1 of the text, titled βUnderstanding the Derivative.β One key aspect of understanding the derivative is how a differentiable function is locally linear. That is, how a differentiable function, up close, looks like a line. This enables us to use linear functions β the simplest functions in all of mathematics β as an effective tool to estimate the values of a differentiable function for \(x\)-values near a certain point where we know key information. Here, we are basically using some sophisticated ideas from calculus to do something natural: if we can see or identify a trend in how a function is changing at a given point, what might we predict for the future? Following a tangent line is a good approach to doing so.
These are the tasks you should be able to perform with reasonable fluency when you arrive at our next class meeting. Important new vocabulary words are indicated in italics.
Given the value of the derivative of \(f\) at a point \(x=a\) (that is, given \(f'(a)\)), write the equation of the tangent line to the graph of \(f\) at \(x=a\text{.}\)
Explore the concept of local linearity through zooming! This applet, acting like a magnifying glass, illustrates this concept well. This second applet does it even better. Check both out.
π [Submit] Watch this video on Calculating a Tangent Line. Then, use the local linearization to estimate the value of \(f(-2.1)\) for the example presented.
π [Submit] Re-readExample 1.8.2. Then, write two sentences about the use of the word near in this context. How near is near? How might near depend on the function?
Use the second-order derivative to determine whether an approximation is an overestimate or an underestimate. (If \(L(x)\) is the local linearization of a function \(f(x)\) at \(x=a\text{,}\) and if \(b\) is some point near \(a\text{,}\) determine whether \(L(b)\) is greater than, less than, or equal to \(f(b)\) and explain.)