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Positive power functions, their graphs, and their derivatives. It covers the symmetry properties of even and odd functions, the relationship between the derivative and the original function, and the concept of higher derivatives. Students will gain a deeper understanding of power functions and their mathematical properties.
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In today’s lecture, we continue our theme of studying polynomials and the terms which comprise polynomials. A positive power function is a function of the form f (x) = xn, where n is a natural number. You should become familiar with seeing notation like this, where the exponent is not given explicitly, but instead is represented by a letter. Here, we mean that we are studying the function f (x) = x, x^2 , x^3 , x^4 , ... as a family. Suppose we were to graph this family of functions all on the same graph. Specifically, let us graph x, x^2 , x^3 , and x^4 using the following numerical tables as a guide (we leave out the table for the function x):
x x^2 -1.5 2. -1 1 -0.5 0. 0 0 0.5 0. 1 1 1.5 2.
x x^3 -1.5 -3. -1 - -0.5 -0. 0 0 0.5 0. 1 1 1.5 3.
x x^4 -1.5 5. -1 1 -0.5 0. 0 0 0.5 0. 1 1 1.5 5.
When we sketch out these graphs, we see the following traits of the graphs of positive power functions:
Now let f (x) = xn, where n is some natural number. The derivative of f (x) at x = p is
df dx
(p) = npn−^1.
In particular:
As an example of using this formula, let us find the derivatives of all of the positive power function at x = 1. Since we are working with all of the positive power function, let us use the notation f (x) = xn^ instead of specific values of n. Then applying the formula for the derivative, we get that
df dx (1) = n · 1 n−^1 = n · 1 = n.
So the slope of the tangent line to the graph of xn^ at x = 1 is n. This means that, as n gets larger, so does the slope of that tangent line. Does this agree with our observations of how the graphs of positive power functions look when compared to each other?
We now return to the issue of the symmetry we found in the graphs of positive power functions. Remember, when n is even, the graph of f (x) = xn^ has an axis of symmetry at the y-axis. This axis of symmetry exists specifically because (−x)n^ = xn^ when n is even. Another way to write this is that is by using function notation: f (−x) = f (x). It turns out that many functions have the property that f (−x) = f (x). Since the most important of these are the positive power functions when n is even, the name we give to functions with this property is even functions. The main characteristic of graphs of even functions is that they all have an axis of symmetry at the y-axis. It is also true that if the graph of a function has an axis of symmetry at the y-axis, then that function is an even function. We also observed that, when n is odd, the graph of f (x) = xn^ has a point of symmetry at the origin. This point of symmetry exists because (−x)n^ = −xn^ when n is odd (if you do not see this, try computing both sides of this equation using specific values of x and n). We can also write this relationship using function notation: f (−x) = −f (x). Just as in the previous case, there are many functions with the property f (−x) = −f (x), and for because the most prominent examples of functions like these are the positive power functions when n is odd, the name for functions with this property is odd functions. The graphs of odd functions have the characteristic that they have point symmetry about the origin and, specifically, they pass through the origin. In other words, if f is an odd function, then f (0) = 0. Can you see why this must be true? We also have that, if the graph of a function has point symmetry about the origin, then that function is an odd function.
We now return to studying the derivative. In all of the functions we have described so far, we have talked about the notion of the derivative at a point. You may have noticed, however, that we do not need to think about the derivative as being at one point and one point only. We can think of the derivative of f (x) as being another function: we assign to every x the derivative of f (x) at that x value. We write this new function as d dfx (x), so simply d dfx , and instead of calling this the derivative function, we simply call it the derivative. In the future, if we do not specify a point at which we are taking the derivative, then we are taking about the derivative as a function. If we do specify a point, then we are taking about the derivative at that point, which is simply a number. As a example of the derivative as a function, take f (x) = 2x^2 + 3x − 5. Then df dx
(x) = 4x + 3.
Notice that all we did was apply the formula for the derivative of a quadratic, and instead of substituting a number for p, we simply replaced p with x. Also notice that the derivative of f (x), which is a quadratic function, is a linear function. This is a general phenomenon: the derivatives of all quadratic functions are linear functions. Likewise, the derivative of a cubic function is a quadratic function, and the derivative of a linear function is a constant function. Can you see a pattern developing? The concept of the derivative as a function leads us to another idea: taking the derivative of a derivative. The derivative of the derivative of the function f (x) is called the second derivative of f (x). In this context,