## The Problem That Never Fails

[This post also appears as a guest post over at Sam Shah's blog.]

This is a post about a problem that never fails.  It’s the problem I used for my sample lesson when interviewing for jobs four years ago.  It’s the one I almost always use on the first day of class, and it’s also what I give to parents on back to school night.  Because… well…it. never. fails.  Seriously.

The perfect, ineffable jewel of a problem to which I refer is the classic Bridges of Konigsberg problem.   Here’s the story, in case you don’t know it:

(image from wikipedia)

As shown in the image above, the town of Konigsberg once had seven bridges.  Back before some of these bridges were bombed during WWII, the residents of the town had a long-standing challenge: to walk through the town in such a way that you crossed each bridge exactly once—i.e., without missing any bridges, and without crossing any of them twice.

So, why is this problem so great for a high school classroom?  Well, first of all, whenever I tell this rather contrived tale to my students (or their parents, for that matter), they are inevitably scribbling on their scrap paper before I can even finish.  It’s a compelling puzzle, simple as that.

Before long, students have redrawn the thing enough times that they’re annoyed with all the extra time it takes to draw all the landmasses and bridges, and so they simplify it:

(image from wikipedia)

Voila: in a completely natural fashion, they have reduced the problem just like Euler did.  At this point, I usually bring them together for a moment to appreciate what’s going on here: reducing a problem to its essential components, finding the simplest way to represent the underlying structure of the situation.  (And I also mention to them that this is precisely the move that Euler made when he invented graph theory based on this initial problem.)  Even if they never went any further, this is already a nice lesson in problem solving.

[SPOILER ALERT: notes on the solution below the fold]

But, often, they do go further.  It is, in fact, impossible to walk all the bridges exactly once, and so the students soon find themselves frustrated.  Eventually, they start claiming that it’s impossible.   I, of course, ask why… and at this point, it’s often fruitful to have a brief discussion about how “I haven’t figured it out yet” is not actually a legitimate reason for why something is impossible.  So, they go looking for a reason why it must be impossible.  Sometimes, they have the key insight: that if an island has an odd number of bridges going to it, then it has to be either the starting point or the ending point of the walk.

But even if they’re stuck, there’s a fruitful (and fun) recourse: I can ask how they could change the town’s layout to make it possible, and even to invent their own bridge-and-island layouts as puzzles for their classmates to try.   This way, they end up generating lots of data, making it much more accessible for them to look for what the “possible” layouts might have in common.   With the benefit of this data, it’s not hard for them to see that it’s about islands having and even or odd number of bridges going to them.   Once they see this, it’s quite natural to ask, “What happens with ‘odd’ islands, as opposed to ‘even’ ones, and why?”  And once they’re looking for it, someone almost always realizes that when you get stuck, it’s always on an “odd” island.  From here, it’s a quick jump to the essence of the proof: that every island except the starting and ending ones must have an even number of bridges, so that for every time you arrive at the island, you can also leave.  As you can probably imagine, when students come up with this rather elegant general argument, after all of the struggle and frustration of the initial problem being impossible, they find it immensely satisfying.

So, to recap: what makes this a perfect problem?  (1) It is instantly engaging, and instantly accessible.  Students can begin thinking, without my help, right away.  (2) It can’t be resolved with a simple, correct answer — it inherently requires reasoning and argument. (So that “show your work” or “justify your answer” need not be artificial commands on my part.)  (3) The underlying math the students ultimately uncover is beautiful to the point of goosebumps… so that, hopefully, they get a glimpse of what’s so great about math beyond its usefulness for science and finance.  (4) There’s much, much more to graph theory, if they’re into it, so there’s somewhere to go from here.

1. Posted September 21, 2011 at 12:31 am | Permalink | Reply

Excellent description of how to use this problem. I am intrigued that when you are interviewing for jobs that you get to choose what to teach about. I always get asked for something boring such as expanding brackets.

• Posted September 24, 2011 at 10:47 am | Permalink | Reply

Thanks!

Yeah, I got lucky… at my present school (which is one of only two where I’ve ever interviewed), they asked me to decide for myself what I wanted to do with the sample lesson. Now that you mention it, though, this seems like a really wise choice on my colleagues’ part: it seems like you could learn a lot from what material a candidate decides to bring in–maybe even more so than from how s/he actually does in the moment, since the sample lesson is such an artificial situation with so many other factors at play.

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