Last Time | Next Time |
Any questions on those? We'll look over the solutions next time.
Your "preview" for Wednesday is to "Explore" two of the "GeoGebra" examples mentioned in this section (there are questions at the end of each); these are the work of Marc Renault, at Shippensburg University:
Connections: Since we can see the secant line, and that its slope is negative, we know that the average velocity must be negative, too!
This figure presents us with the basic idea:
So we would say that
\[ \lim_{x \to 2}f(x)=4 \]
limit of $f(x)$ as $x$ approaches $a$: Suppose function $f(x)$ is defined when $x$ is near the number $a$ (this means that $f$ is defined on some open interval that contains $a$, except possibly at $a$ itself.) Then we write \[ \lim_{x \to a}f(x) = L \] if we can make the values of $f(x)$ arbitrarily close to $L$ by taking $x$ to be sufficiently close to $a$ but not equal to $a$. We say that ``the limit of $f(x)$ as $x$ approaches $a$ equals $L$.'' The intuitive idea is that in the neighborhood of $a$, the function $f$ takes on values close to $L$, and those values get closer the closer we get to \(a\).
Questions:
We can approach $x=a$ from the left or from the right. We define limits from the left and from the right, and then say that the limit exists as $x$ approaches $a$ if and only if the limits from the left and right exist, and agree: if the limit as $x$ approaches $a$ from the left, \[ \lim_{x \to a^-}f(x) = L \] and the limit as $x$ approaches $a$ from the right, \[ \lim_{x \to a^+}f(x) = L \] then the limit as $x$ approaches $a$ exists, and \[ \lim_{x \to a}f(x) = L. \]
The graphs of all functions are not necessarily smooth, or even connected!
The best case scenario is when the limit exists at a point, the function exists at that point, and the limit is the same as the function value: \[ \lim_{x \to a}f(x) = f(a). \] If that is the case, we say that \(f\) is continuous at \(a\).
This graph shows us that the function \(g\) is continuous at \(x=-1\):
\[ \lim_{x \to -1}g(x)=3=g(-1) \]
But this graph also illustrates that there are three things that can go wrong:
Why is continuity in a graph important? We interpret the derivative as the slope of the tangent line (the limit of secant lines!) at a point. You can frequently look at a graph and see where things go awry. For example, if there's no tangent line at a point, then there's no instantaneous velocity! And at any point of discontinuity, it's impossible to create a tangent line (so there's no derivative).
This should look familiar because we did something similar last class, in the case of the function \[ f(x)=9-x^2 \] a preview of a preview!:)
The most important definition in calculus is the definition of the derivative (here is the derivative of $f$ at $a$):
\[ f'(a)=\lim_{h\to 0}{\frac{f(a+h)-f(a)}{h}} \]
We've seen this in another form as well:
This was defined as the slope of the tangent line to a curve (provided the tangent line exists).
In particular, we're only going to have indeterminacy in our derivative if the numerator goes to 0 when the denominator goes to 0. But that only happens if \[ \lim_{h\to 0}(f(a+h)-f(a))=0 \] This happens when the limit exists, and is equal to the function value. This is equivalent to \[ \lim_{h\to 0}f(a+h)=f(a) \] In order for this to be true, it must be the case that $f$ is continuous at $x=a$.
We see, therefore, that a derivative exists at $a$ only if the function is continuous there. But not vice versa. A function continuous everywhere does not necessarily have a derivative everywhere -- can you think of one?
We've already seen how the secant lines approach the tangent line for a smooth curve. It's one of the first important problems we'll want to address in calculus. It's why we're interested in limits of things at the outset.
We usually find the equation of a line using two points, or a point and a slope. The secant line method approaches the tangent line at a point by using a succession of nearby points that are ever closer to the point of tangency: see, for example, this code suggested by our authors, the work of David Austin of Grand Valley State University:
The secant line method approaching the tangent line
The tangent ("touching") line osculates ("kisses") the curve at this point.
Notice the focus on linear functions: linear functions are the most important functions in calculus.
Once we have the derivative at $x=a$, we can write the equation of the tangent line, graph of linear function $y=T(x)$, using "point-slope" form: \[ y - f(a) = f'(a)(x-a), \] or \[ y = f'(a)(x-a) + f(a). \] It's that simple!
infinite limits for $\displaystyle f(x)$ as $\displaystyle x$ approaches $\displaystyle a$: \[ \lim_{x \to a}f(x) = \infty \] means that the values of $\displaystyle f(x)$ can be made arbitrarily large (as large as we please) by taking $\displaystyle x$ sufficiently close to $\displaystyle a$ (but not equal to $\displaystyle a$). Similarly we can define \[ \lim_{x \to a}f(x) = -\infty \] and one-sided limits such as \[ \lim_{x \to a^-}f(x) = \infty {\hspace{1.5in}} \lim_{x \to a^+}f(x) = \infty \]
In any of these cases, we define a vertical asymptote of the curve $\displaystyle y=f(x)$ at $\displaystyle x=a$.