{"id":597,"date":"2014-03-05T08:30:29","date_gmt":"2014-03-05T14:30:29","guid":{"rendered":"http:\/\/blogs.ams.org\/blogonmathblogs\/?p=597"},"modified":"2014-03-05T01:24:31","modified_gmt":"2014-03-05T07:24:31","slug":"on-teaching-analysis","status":"publish","type":"post","link":"https:\/\/blogs.ams.org\/blogonmathblogs\/2014\/03\/05\/on-teaching-analysis\/","title":{"rendered":"On Teaching Analysis"},"content":{"rendered":"

Timothy Gowers<\/a>, University of Cambridge mathematician and Fields Medalist, is teaching an analysis class this term, and fortunately for me, he’s blogging about it<\/a>. Analysis IA is part of the first-year math major sequence at the University of Cambridge, and it is a rigorous approach to calculus at the undergraduate level. I am teaching a similar analysis class this semester, and although Gowers says that his posts are for his students, they’ve been useful for me as well. I have taught this class before, but it’s always good to see how someone with much more experience than I have approaches the subject.<\/p>\n

In his first post<\/a> about the class, Gowers gives a big picture overview of the course:<\/p>\n

“One of the messages I want to get across is that in a sense the entire course is built on one axiom, namely the least upper bound axiom for the real numbers. I don\u2019t really mean that, but it would be correct to say that it is built on one new axiom, together with other properties of the real numbers that you are so familiar with that you hardly give them a second\u2019s thought.<\/p>\n

If I want to say that more precisely, then I will say that the course is built on the following assumption: there is, up to isomorphism, exactly one complete ordered field. If the phrase ‘complete ordered field’ is unfamiliar to you, it doesn\u2019t matter, though I will try to explain what it means in a moment. Roughly speaking, this assumption is saying that there is exactly one mathematical structure that has all the arithmetical and order properties that you would expect of the real numbers, and also satisfies the least upper bound axiom. And that structure is the one we call the real numbers.”<\/p><\/blockquote>\n

I also like his section about the difference between abstract and concrete in mathematics. The emphasis is mine.<\/p>\n

“Up to now, you will have been used to thinking of the real numbers as infinite decimals. In other words, the real number system is just out there, an object that you look at and prove things about. But at university level one takes the abstract approach. We start with a set of properties (the properties of ordered fields, together with the least upper bound axiom) and use those to deduce everything else. It\u2019s important to understand that this is what is going on, or else you will be confused when your lecturers spend time proving things that appear to be completely obvious, such as that the sequence 1\/n converges to 0. Isn\u2019t that obvious?<\/i> Well, yes it is if you think of a real number as one of those things with a decimal expansion. But it takes quite a lot of work to prove, using just the properties of a complete ordered field, that every real number has a decimal expansion, and rather than rely on all that work it is much easier to prove directly that 1\/n converges to 0.”<\/p><\/blockquote>\n

I sometimes struggle to articulate the big picture to my students effectively, and Gowers is great at making that broad vision clear.<\/p>\n

The rest of the posts also have some similar gems. From\u00a0How to work out proofs in Analysis I<\/a>:<\/p>\n

“For some reason, Analysis I contains a number of proofs that experienced mathematicians find easy but many beginners find very hard. I want to try in this post to explain why the experienced mathematicians are right: in a rather precise sense many of these proofs really are easy<\/i>, in the sense that if you just repeatedly do the obvious thing you will solve them. Others are mostly like that, with perhaps one smallish idea needed when the obvious steps run out. And even the hardest ones have easy parts to them.”<\/p><\/blockquote>\n

This post also talks about some of the common “moves” we use when we do basic analysis proofs in the context of teaching a computer to do them.<\/p>\n

Gowers mentions that his colleague Vicky Neale wrote blog posts<\/a> after each analysis class when she taught it last year. I have not perused them yet, but I look forward to getting some ideas from them.\u00a0In the past, I have also found\u00a0Terry Tao’s blog<\/a>\u00a0helpful for understanding and teaching analysis, particularly the\u00a0measure theory<\/a>\u00a0notes.<\/p>\n

I love teaching analysis, and I’m very glad that I get to benefit from Gowers’ (and Neale’s and Tao’s) experience, especially when I’m trying to explain how individual theorems fit into the subject as a whole.<\/p>\n

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Timothy Gowers, University of Cambridge mathematician and Fields Medalist, is teaching an analysis class this term, and fortunately for me, he’s blogging about it. Analysis IA is part of the first-year math major sequence at the University of Cambridge, and … Continue reading →<\/span><\/a><\/p>\n

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