In a previous post I tried to
make the point that math olympiads should not be judged by their relevance to research mathematics.
In doing so I failed to actually explain why I think math olympiads are a
valuable experience for high schoolers, so I want to make amends here.
1. Summary
In high school I used to think that math contests were primarily meant to
encourage contestants to study some math that is (much) more interesting than
what’s typically shown in high school.
While I still think this is one goal, and maybe it still is the primary goal in some people’s minds,
I no longer believe this is the primary benefit.
My current belief is that there are two major benefits from math competitions:
- To build a social network for gifted high school students with similar interests.
- To provide a challenging experience that lets gifted students …
(This is a bit of a follow-up to the solution reading post last month.
Spoiler warnings: USAMO 2014/6, USAMO 2012/2, TSTST 2016/4, and hints for ELMO 2013/1, IMO 2016/2.)
I want to say a little about the process which I use to design my olympiad
handouts and classes these days (and thus by extension the way I personally think about problems).
The short summary is that my teaching style is centered around
showing connections and recurring themes between problems.
Now let me explain this in more detail.
1. Main ideas
Solutions to olympiad problems can look quite different from one another at a surface level,
but typically they center around one or two main ideas,
as I describe in my post on reading solutions.
Because details are easy to work out once you have the main idea,
as far as learning is concerned you can …
(Ed Note: This was earlier posted under the incorrect title “On Designing Olympiad Training”.
How I managed to mess that up is a long story involving some incompetence with Python scripts,
but this is fixed now.)
Spoiler warnings: USAMO 2014/1, and hints for Putnam 2014 A4 and B2.
You may want to work on these problems yourself before reading this post.
1. An Apology
At last year’s USA IMO training camp, I prepared a handout on writing/style for the students at MOP.
One of the things I talked about was the “ocean-crossing point”,
which for our purposes you can think of as the discrete jump from a problem
being “essentially not solved” (0+) to “essentially solved” (7−).
The name comes from a Scott Aaronson post:
Suppose your friend in Boston blindfolded you, drove you around for twenty minutes,
then took the blindfold off …
One of the pieces of advice I constantly give to young students preparing for
math contests is that they should probably do harder problems.
But perhaps I don’t preach this zealously enough for them to listen,
so here’s a concrete reason (with actual math!) why I give this advice.
1. The AIME and USAMO
In the USA many students who seriously prepare for math contests eventually
qualify for an exam called the
AIME (American Invitational Math
Exam). This is a 3-hour exam with 15 short-answer problems; the median score is maybe about 5 problems.
Correctly solving maybe 10 of the problems qualifies for the much more difficult
USAMO.
This national olympiad is much more daunting, with six proof-based problems given over nine hours.
It is not uncommon for olympiad contestants to not solve a single problem (this
certainly happened to me a fair share of times!).
You’ll …
The following is an excerpt from a
current work of mine.
I thought I’d share it here, as some people have told me they enjoyed it.
As I’ll stress repeatedly, a matrix represents a linear map between two vector spaces.
Writing it in the form of an m×n matrix is merely a very convenient way to see the map concretely.
But it obfuscates the fact that this map is, well, a map, not an array of numbers.
If you took high school precalculus, you’ll see everything done in terms of matrices.
To any typical high school student, a matrix is an array of numbers.
No one is sure what exactly these numbers represent,
but they’re told how to magically multiply these arrays to get more arrays. They’re told that the matrix