After reading Luke's interview with Scott Aaronson, I've decided to come back to an issue that's been bugging me.
Specifically, in the answer to Luke's question about object-level tactics, Scott says (under 3):
Sometimes, when you set out to prove some mathematical conjecture, your first instinct is just to throw an arsenal of theory at it. (..) Rather than looking for “general frameworks,” I look for easy special cases and simple sanity checks, for stuff I can try out using high-school algebra or maybe a five-line computer program, just to get a feel for the problem.
In a similar vein, there's the Halmos quote which has been heavily upvoted in the November Rationality Quotes:
A good stack of examples, as large as possible, is indispensable for a thorough understanding of any concept, and when I want to learn something new, I make it my first job to build one.
Every time I see an opinion expressing a similar sentiment, I can't help but contrast it with the opinions and practices of two wildly successful (very) theoretical mathematicians:
One striking characteristic of Grothendieck's mode of thinking is that it seemed to rely so little on examples. This can be seen in the legend of the so-called "Grothendieck prime". In a mathematical conversation, someone suggested to Grothendieck that they should consider a particular prime number. “You mean an actual number?” Grothendieck asked. The other person replied, yes, an actual prime number. Grothendieck suggested, “All right, take 57.” But Grothendieck must have known that 57 is not prime, right? Absolutely not, said David Mumford of Brown University. “He doesn’t think concretely." Consider by contrast the Indian mathematician Ramanujan, who was intimately familiar with properties of many numbers, some of them huge. That way of thinking represents a world antipodal to that of Grothendieck. "He never really worked on examples," Mumford observed. "I only understand things through examples and then gradually make them more abstract. I don't think it helped Grothendieck in the least to look at an example. He really got control of the situation by thinking of it in absolutely the most abstract way possible. It's just very strange. That's the way his mind worked."
(from Allyn Jackson's account of Grothendieck's life).
Saito: This is one typical point of your work. But I find that in much of your work, by hearing one symptom you capture the central point of the problem and then give some general big framework. That’s my general impression of what you are doing.
Kontsevich: Yeah, I really don’t work on examples at such a level.
Saito: How can you work in that way?
Kontsevich: For myself sometimes I work on one or two examples, but...
Saito: You already keep some examples in mind, but still you construct theory.
Kontsevich: Yes. And generally I find examples sometimes to be misleading. [Laughter]. Because often the properties of examples are too special, you cannot see general properties if you constantly work too much on concrete examples.
(from the IPMU interview).
Are they fooling themselves, or is there something to be learned? Perhaps it's possible to mention Gowers' Two Cultures in the answer.
Grothendieck's mind was indeed extremely strange. The levels of abstraction upon abstraction he achieved in algebraic geometry boggles the mind.
But I don't think you can really make meaningful comparisons between thought processes based on self-reporting. One complication is that different fields of mathematics work differently in this regard. In things like statistics, analysis, and geometry, you rely heavily on examples. In things like algebra, examples can indeed be cumbersome and hindering, because the point of algebra is to simplify things to symbol manipulation. Of course, it might also be the case that people with more abstract-type thinking are naturally drawn to algebra.
It would be useful to look at the 'information content' of storing examples vs. storing symbolic representations, and see how that compares across different mathematical subjects.
I'm skeptical that the relevance of the two modes of thinking in question has much to do with the mathematical field in which they are being applied. Some of grothendiek's most formative years were spent reconstructing parts of measure theory, specifically he wanted a rigorous definition of the concept of volume and ended up reinventing the Lebesgue measure, if memory serves, in other words, he was doing analysis and, less directly, probability theory...
I do think it's plausible that more abstract thinkers tend towards things like algebra, but in my limite... (read more)