Section Week 2 (9/2 - 9/5)
This week we cover sections 1.3 and some of 1.4 of the textbook. This introduces the derivative at a point, and the derivative function.
Handout Tuesday, 9/2
Today we will start by discussing any questions about the practice problems due tonight. Then some discussion section 1.3 on the derivative at a point. Finally, we will do the first Learning Target Quiz.
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Look at question 2 from last Fridayβs activity. We want to evaluate that limit. Notice that it is a very particular type of limit. It is a limit of an average velocity between two points. What are they?
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Look at the preview activity for 1.3. Go over this carefully.
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We will want to evaluate these sorts of limits a bunch. But what does \(\d\frac{f(a+h) - f(a)}{h}\) look like for different functions? Try this out with a bunch of different examples.
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The limit of this difference quotient is called the derivative of \(f\) at \(a\), and written \(f'(a)\text{.}\) Here we are thinking of \(a\) as a specific number. So examples would be \(f'(2)\) or \(f'(0)\text{.}\)
Handout Wednesday, 9/3
Learning target quizzes discussion. Reminder: you try this again so that you can demonstrate mastery. Your next opportunity is next Tuesday. Letβs talk a little bit about instantaneous velocity.
Letβs continue investigating the derivative of a function at a point.
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Look at the interactive applet the textbook links to. Compare this to the definition of the derivative we discussed in class and the idea of the instantaneous velocity.
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We can always approximate a derivative at a point by approximating the limit of the average rate of change. In other words, approximating the difference quotient at that point.
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Sometimes, we can find the derivative exactly by computing that limit exactly.
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Letβs think of this as two distinct steps: First, we want to find an expression whose limit is the derivative at a point. Second, we want to evaluate that limit.
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Here are some examples. For each function below, write a limit that represents the derivative at the given point.
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Let \(f(x) = \sqrt{x+1}\text{.}\) Find an expression for \(f'(3)\text{,}\) the derivative at \(a = 3\text{.}\) Then repeat for \(f'(8)\text{.}\)
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Let \(f(x) = x^2 + 5x\text{.}\) Find an expression for \(f'(2)\text{,}\) the derivative at \(a = 2\text{.}\)
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Let \(f(x) = x^3 - 2x + 1\text{.}\) Find an expression for \(f'(1)\text{,}\) the derivative at \(a = 1\text{.}\)
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Let \(f(x) = \sin(x) + \cos(x)\text{.}\) Find an expression for \(f'(0)\text{,}\) the derivative at \(a = 0\text{.}\)
Pay attention to how the substitution of the function and the difference quotient interact.
Now, evaluate some of the limits we found. Note that the last one... no clue what to do there.
Handout Friday, 9/5
Today we start looking at section 1.4, thinking about the derivative as a function.
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Start with an example. Let \(f(x) = x^2 + 1\text{.}\) Find \(f'(3)\text{.}\) Then, what is \(f'(4)\text{?}\) Can we also find \(f'(42)\text{?}\)
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In fact, we can find \(f'(a)\) for any number \(a\text{.}\) One way to think of this is that we are creating a rule to help us find a lot of different derivatives. We are giving a recipe. No matter what \(a\) is, we can always find \(f'(a)\) by simply...
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But really we are doing more. At any point in the domain of \(f\text{,}\) we can find a derivative. That derivative changes when \(a\) changes. So there is actually a function of derivatives.
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We can describe a function in multiple ways. A formula. A table. A graph.
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Look at a graph of a function. At any input, we can ask: what is the slope of the line tangent to the graph? We can then collect these answers in a table. That is describing the derivative function! We can also graph these values to get a graph of \(f'(x)\)
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Letβs repeat this with a few functions.
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a piecewise linear function.
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A parabola.
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\(\displaystyle y=x^3\)
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\(\displaystyle f(x) = \sin(x)\)
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\(\displaystyle f(x) = e^x\)
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