


The purpose of this final project is to help us understand related rates through teaching them ourselves. We are also hoping that we can help to teach others and challenge them to a new Related Rates problem. About all everyday scenarios, such as skiing, contain some bit of calculus. We are proposing a scenario, in which two skiers are skiing away from each other. We are going to calculate the rate at which the distance between them is changing. This problem was created by skirdude, secret and Flying Slug.
Two skiers are having an extreme day on Snowmass Mountain. They have been skiing together all day, dropping fatty cliffs and schralping mad gnar. Its the end of the day, and they are getting tired, so they now decide they both want to go down different runs. They are total math buffs and decide to turn this into an awesome Related Rates problem!
You can find our solution here!
And a big shout out to the crew at Aspen for being very patient with us and giving us tons of help!
Good day to all.
Today we studied Differentiability Implies Continuity a property that will help in simplifying the process of deciding whether a function is differentiable or continuous.
WHO IS THIS???
(*answer at the end of the post along with citation)
Continuity
Opening up class today we reviewed Continuity at a point, on an interval, and even in a function. Continuity at a point has three requirements; do you remember them?
1. There must exist a value for f(c)
2. There must be a limit for f(x) at x = c
3. The limit must equal the value at x = c
Continuity at an interval is not far off from that: f(x) is continuous on an interval only if it is continuous at each x value in the interval. And for a function to be continuous it must be continuous for every x value in it’s domain.
Differentiability
We then continued reviewing by covering differentiability. We started with the definition of derivative at a point:
We also reviewed the graphical and physical meaning of derivative, which are the slope of the tangent line and the instantaneous rate of change of the function respectively.
Then, like with continuity we reviewed differentiability of f(x): at a point x = c if there is a derivative at x = c; on an interval if it is differentiable for
every x-value in the interval; and in a function if it is differentiable of each x-value in it’s domain.
Syllogisms
After we had reviewed the basics needed for the day we dove into the important information of the day. Definition (from the dictionary on my computer) : syllogism |’silə,jizəm| Noun • deductive reasoning as distinct from induction. Do you remember these from geometry?
Ex. of the positive: If pajamas are flannel then they are comfortable -- P => Q
Ex. of the contrapositive: If pajamas are not comfortable then they are not flannel -- ˜Q => ˜P
Ex. of the inverse: If pajamas are not flannel then they are not comfortable -- ˜P => ˜Q
Ex. of the converse: If pajamas are comfor
table then they are flannel -- Q => P
Think about which ones of these are true, then look at the mathematical examples and ask yourself the same question.
If function f is differentiable at x = c then f is continuous at x = c
Ex: just think of any continuous line, and
it’s derivative
If the function f is not continuous at x = c then f is not differentiable at x = c
Ex: any sort of discontinuity, leap, and infinite, removable… will fill this example
If the function f is not differentiable at x = c then f is not continuous at c
Counter Ex: a cusp is continuous, but not differentiable. The reason it is not differentiable is because there are infinite different derivatives at a cusp.
If the function f is continuous at x = c then it is differentiable at x = c
On a side note, the easiest way to graph a cusp is to use the absolute values, for example: y = |x| + 1 would be a V-shaped graph with a y intercept of 1. To make it negative you can just add a negative sign in front of the absolute value sign because that will flip the whole thing into the negative.
And what we draw from that experience is that:
Differentiability implies Continuity
If a function f is differentiable at x = c, then f is continuous at x = c
If a function f is not continuous at x = c, then f is not differentiable at x = c