Lesson 2.1: The Tangent Problem and Its Solution: the Derivative
Often we can find useful information from the slope of a tangent line to a graph. If a phenomenon is described by a complicated function, we can gather information about a small section of the function’s graph much more simply by examining the tangent to a point in that section.
Those of you who have taken physics will recall that if we have a graph of position as a function of time , we can find the velocity at any time by calculating the slope of the tangent line to the graph at . Therefore if we have a particle’s position described by a function of time, it will be fruitful to derive a method for finding the slope of a tangent line at an arbitrary point.
This idea, called the derivative, is the central concept of differential calculus. Let’s begin our exploration of the derivative with the function , the graph of which is shown on the right, and the goal of finding the slope of a tangent to the point , shown on the graph.
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 The graph of with the tangent line to point drawn. |
Two points determine a line, of course. The problem with finding slopes of tangents to curves is that the slope of a line through any point seemingly must also depend on the other point chosen to determine the line. Therefore, we might begin by choosing an additional point . Then we can find the slope by noting that the slope between any two points is . Therefore . However, this is clearly not the slope of a tangent to point since point is quite far away from . |
 The graph of with the secant line . |
We thus select another point that is closer to . We recalculate our slope , but again, this is not the slope of a tangent to . |
 The graph of with the secant line . |
Getting closer, we select and find . |
 The graph of with the secant line . |
Continuing in a similar fashion, and . As we proceed through the alphabet for our second point, the slope of the line from to that point gets closer and closer to 4. We might then (correctly, as we will soon show) infer that the slope of the tangent line to on the graph of is 4. |
 The graph of with the secant line . |
 The graph of with the secant line . |
Let’s try to establish a more general formula for the slope of the tangent to a point on the same graph. We consider another arbitrary point in our calculations. The slope of is . We can determine an exact value for the slope of the tangent to by making and get nearer and nearer to each other; since must be fixed, we make approach —a limit!
So the slope of the tangent to is . Now, we set about evaluating that limit. We can factor the numerator as a difference of squares: . This leaves , so a factor of cancels to give . At this point, we can simply plug in for .
Now we have . So the slope of a tangent to at any point is .
Some notation and terminology is now in order. We’ve just shown that the derivative of is . We can express the derivative of a function in several ways:
or , where the denominator indicates that the derivative is taken with respect to —this is known as Leibniz’s notation. We then notate the slope of a tangent to the point where as .
or just , where in the latter it is implied that the derivative is taken with respect to —this is known as Lagrange’s notation. We then notate the slope of a tangent to the point where as .
or just , a notation much more common in differential calculus of several variables and the study of differential equations—this is known as Euler’s notation. We then notate the slope of a tangent to the point where as .
, a notation typically seen only in the study of mechanics and only for derivatives with respect to time—this is known as Newton’s notation.
While the most intuitive way to compute a derivative, taking into account geometric considerations, is to express it as as we just did with , an equivalent though slightly less intuitive expression is often used. If we let , then , and we can express as . Now is equivalent to since and , so .
In the next lesson, we will discuss methods for finding derivatives of various functions. In the meantime, chew on this: the derivative is a new kind of operator. Previous operators you have encountered, such as multiplication and addition and even exponentiation, output a number, but the derivative takes in a function and outputs a function.
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