Review differentiation.
What are derivatives?
After working with limits, our main tool last semester was the derivative. We started with a function and a number in the interior of its domain. The derivative of at ( denoted as either or ) can be interpreted in a couple different ways. It represents the instantaneous rate of change of at . Graphically it represents the slope of the line tangent to the graph of at the point .
When we first came up with the idea, we didn’t know how to calculate explicitly, so we approximated instead. We approximated the instantaneous rate of change at by the average rate of change on . Graphically we approximated the slope of the tangent line at by the slope of the secant line through and . The exact value arose when we took the limit as tended to .
The definition of the derivative is then:
Let’s go through an example of using this definition.
Shortcut formulas
We soon turned to finding ‘shortcut formulas’ for finding derivatives more easily. The most important of these are below.
- Power Rule
- Sum Rule
- Product Rule
- Quotient Rule
- Chain Rule
- Exponential and Logarithmic Functions
- Trigonometric Functions
The first term on we can handle, since . The term on the right asks us to differentiate a tangent function, but the stuff on the inside isn’t just the variable itself. That means it is a Chain Rule problem. We have to take the derivative of a logarithm, but is not alone on the inside. There is ANOTHER Chain Rule.
Putting this all together, our derivative is:
x | f(x) | f’(x) |
0 | 1 | -1 |
1 | -1 | 3 |
2 | 6 | -7 |
Find .
Applications
We finished last semester with a few applications that showed some of the things the derivative was good for. (There are MANY others!)
Recall that a critical point of a function is a number with either or does not exist.
Critical points played a large role for us in graphing functions and in optimization problems. Try the following optimization problem.