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Once we're done with continuity, we'll move along to chapter 2 and the definition of the derivative -- only you've already seen it!:)
I want to do one squeeze theorem problem, however: #59, p. 71. It's quite an interesting function, and it ties in well with our topic of continuity. Actually, it should be "anti-continuity!".
Some things that you need to know about rational and irrational numbers:
Note: three things have to happen:
There are various kinds of discontinuity (which we've already seen):
This function has a limit at zero (-.5), but is not defined there. Hence it is not continuous at $x=0$.
Obviously it's not possible to draw the graph of the tangent function without lifting one's pencil from the paper: but, on every interval within its domain, it can be done. Tangent is continuous on its domain.
Now that's the way to do limits! (So life gets really good when functions are continuous.)
(This picture is a little deceiving (actually a lot deceiving!): let's have a look with Mathematica.)
Roughly: A composition of continuous functions is continuous.
Let $F(x)=f(g(x))$ be a composite function.
If $g$ is continuous at $x=c$ and $f$ is continuous at $g(c)$ then
$F(x)$
is continuous at .
This figure illustrates that there may be multiple values $c$.
Secant line slopes thus represent an approximation to the slope of the tangent line: we think of them as an "average change" over an interval, whereas the tangent line is the "change" over a point!
The secant line slopes represent an average rate of change of a function, whereas the tangent line slopes represent an instantaneous rate of change of the function.
But it's all about slopes! That's made clear by the important equations on p. 104 and 105.
These are tangent lines (places where a line osculates a curve):
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These are "rates of change" of the function f. What does that mean? The thing that tells you how fast a function is changing is its slope, isn't it? If a function is constant, then it's not changing at all. If the slope is steep (either up or down), then the function's values are changing dramatically and quickly.
The rate of change is dictated by the slope. So it should come as no surprise that the derivative of a function at a point is the same as the slope of the tangent line at a point:
We can approximate tangent lines with secant lines:
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The slope m of the tangent line at P(a,f(a)) is approximated by
the slope of the blue line segment (the slope of a secant line),
This is an average rate of change in f over a finite interval. In the limit, this average rate of change becomes an instantaneous rate of change: |
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Here's an alternative notation for the slope:
The slope m of the tangent line at P(a,f(a)) is approximated by the slope of the blue line segment, In the limit, this is which I call the most important definition in calculus. |
$f^\prime(a) = \lim_{h \to 0} \frac{f(a+h)-f(a)}{h} = \lim_{x \to a} \frac{f(x)-f(a)}{x-a}$
The most important definition in calculus! (I just can't say it enough!)
Now let's look at some problems, and see how this concept is connected to real-world problems.