Home > comic, math > (A Comic Guide to Limits) Part 1 – When Limits Exist

(A Comic Guide to Limits) Part 1 – When Limits Exist

November 10th, 2009 Mr. H Leave a comment Go to comments

I do something similar to this when I introduce limits. It gives students a practical understanding of what limits are and how to evaluate them.

If you see glaring mistakes, please let me know.

Part 1 – When Limits Exist

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  1. November 10th, 2009 at 09:16 | #1

    LOVE IT! Thanks so much for posting this.

  2. November 10th, 2009 at 09:51 | #2

    I really like this. I’m not teaching calc this year but will share this post with my colleagues.

  3. November 11th, 2009 at 06:36 | #3

    I like the idea of the limit as the “morally correct” value of a function–the one value which would make the function continuous at the point. Still, there’s much more to limits than left and right. How do we know that the function is “supposed to be at 2″ without looking at a graph? The quantifiers in the limit definition are important: the limit as x goes to a of f(x) is L if values of f(x) can be made arbitrarily close to L by taking x sufficiently close to a (and not equal to a). I don’t think the analogy of waiting in line transfers those ideas of arbitrary and sufficient closeness.

    Suppose Mr. H wants to drop his letter in a mail slot. Unfortunately for him, this mail slot, though finitely high above the floor, is at the top of an infinite staircase. Mr. H can’t climb all the stairs, but he knows if he climbs enough stairs he will be able to reach the mail slot and drop in his letter. And this doesn’t depend on how long his arms are–no matter how short they are, he should be able to get that close to the mail slot while climbing only finitely many stairs. To me this is more what a limit is about.

  4. November 11th, 2009 at 07:44 | #4

    @Matthew Leingang
    You are right.

    The comic is about a giving “a practical understanding” of limits. As a high school math teacher, the biggest issue for me is to get students to understand the difference between evaluating a function at c and finding the limit as x approaches c of f(x).

    A student first encountering limits will see no difference between limit as x approach c of f(x) and f(c). Very often in textbooks, we start off with examples where there is no difference between the two. Given f(x)=2x+1, find f(3) and find the limit as x->3 of f(x). We also give examples that supposedly clarifies the difference like f(x)=(x^2-4)/(x-2). There is a hole/gap in that function when x=2, but students treat it by mechanically factoring and simply cancelling out the factors of x-2 without regard to what that does to the function. They evaluate using f(x)=x+2, after they cancel out the x-2 terms in the numerator and denominator, for both limit as x->2 of f(x) and for f(2). Students could mechanically get the correct answer and still have no understanding of the difference.

    Is this a problem of math teachers not explaining or going over examples over the distinction? I’m not sure, but what I find for myself is that even though I cover the examples, I would say maybe a quarter of the students will really understand the difference if I’m lucky. The rest are still struggling with the notation of limits and trying to adapt new information to something they know from algebra 2. The easiest thing that students resort to is to treat limits as just factor->simplify->evaluate and the distinction is lost.

    You are right in that with this model it is not possible to get arbitrarily close to a. In the a future comic I will be using 1000, 2000, 3000 as the position numbers and show if we are unsure about the limit at 5000 we could look at 4000 and 6000. Then we will look at 4900 and 5100, then 4990 and 5010, and finally at 4999 and 5001. It then stops there. However on the real coordinate plane we can go further with examples that show how it’s possible to get arbitrarily closer.

  5. Frank Lee
    November 12th, 2009 at 21:58 | #5

    okay, it’s a good effort at simplifying limits; it’s a model, and it’s granular; so i recommend that you declare the premise up front and tell the reader what you will set out to demonstrate with the model.
    remember:
    a useful model simplifies amplifying one dimension of the inscritible,
    the model is not overly complex; otherwise, it defeats the purpose (a bellybutton should not be bigger than the stomach – a Korean adage muttered under the breaths of denture toting grandmas),
    the model does not have distortions from important underlying fundational elements which would render it unusable,
    moreover, does it obfuscate? or ellucidate?

    so where does this model stand mr. ho?

  6. Frank Lee
    November 12th, 2009 at 22:01 | #6

    goo goo gah gah . . . man, lighten up!

  7. Frank Lee
    November 12th, 2009 at 22:06 | #7

    what i am interested are limits of knowledge:
    synthetic statements
    a priori math concepts
    a posteriori stuff
    math is selective on what it choose to prove, accusation is if you prove everything possible you end up proving false stuff as well using the same logic — i like to discuss examples of this,
    so is math a tight, clean system, or have we contrived it to resemble it?

    by the way u r number theory stuff gave me a headache

  8. November 12th, 2009 at 22:32 | #8

    Frank Lee :

    okay, it’s a good effort at simplifying limits; it’s a model, and it’s granular; so i recommend that you declare the premise up front and tell the reader what you will set out to demonstrate with the model.
    remember:
    a useful model simplifies amplifying one dimension of the inscritible,
    the model is not overly complex; otherwise, it defeats the purpose (a bellybutton should not be bigger than the stomach – a Korean adage muttered under the breaths of denture toting grandmas),
    the model does not have distortions from important underlying fundational elements which would render it unusable,
    moreover, does it obfuscate? or ellucidate?

    so where does this model stand mr. ho?

    Good Point! I’ll update the comic to reflect the goal of the model. Being upfront about the limitations of the model wouldn’t hurt either. Not sure how to go about it, but I’ll give it a shot.

    I thought I was elucidating the difference but without explicitly stating its limitations I may mislead students in the long run. I find that transitioning from a discrete model to a continuous model is easier than fixing a misconception about limit as x approach c of f(x) and f(c). Gonna hafta rework the sequence of the next few comics.

  9. Frank Lee
    November 12th, 2009 at 22:39 | #9

    you are indeed ambitious, i am tired jus thinkin ’bout it

  1. November 10th, 2009 at 10:15 | #1

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