Good mathematics students

I just got a message from my colleagues at NYU mentioning that some undergraduates have done well in a certain math contest. Their names are Ruihan Yang, Fangyuan Liu, Chang Li, Ximing Cheng, Suru A, Wentao Zo, Dong Hyun Kim, Priyesh Chakraborty, Tianrui Xu, Shibei Guo, Jaewoo Chang, Ritvik Joshi, Jiadai Xia, Zhihao Tang, Yunji Wu, Aiwen Xu, Siqing Zhang, Zian Chen, Junlin He, Yucheng Wang, Zhijian Yang, Yi Yin, Zijia Lu, Yue Ying Zhang, Junlin Liu, Ziyi Tang, Shiyu Zhang, Pengcheng Han, Weiyi Lu, and Zhengxu L.

[12 April 2017]

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Henry James and J. S. Bach

Here in Washington Square Village I’m rereading Washington Square and am reminded of how wonderful Henry James is. Such perfect and perfectly hilarious use of words! Of course, some things he writes are explicitly funny, but the most exquisite are those that one could not say are funny outright and yet are, in some deeper sense, hilarious. This is exactly what Bach does to me. Nobody could accuse the cantatas or the Brandenburgs of being strings of one-liners… why do they bring such smiles of amusement?

I think the secret is the same in both cases: mastery. Bach and James are so utterly in control of their crafts that we sit back and enjoy. Our inner laughter is a response to their strength.

[19 September 2015]

I am Paul McCartney

I have long had a theory about the Beatles and Bob Dylan. I know their songs intimately, every note, every cough, every crackle. My theory is, I know the recordings better than they do. Paul McCartney has played Yesterday thousands of times, no two of them identical. What chance has he got against me with the thousands of times I’ve heard the 1965 version?

Today I had the chance to be McCartney. I had a fine afternoon working with my new student Abi Gopal, who seems to have read all my works and knows them backwards. Toward the end of the day I proposed that we try a certain trick adapted from my AAA approximation paper of a couple of years ago. He agreed that this was a good idea, and then gently showed me that I hadn’t remembered the algorithm right.

[10 March 2018]

Metro mean and variance

At the metro every few weeks I run into a nice example of the difference between mean and variance. My card is running out of credit, so I figure I should recharge it. Now, should I do that before the train ride, or after?

If I recharge the card after the ride, it will take one minute, and that’s that. The mean time spent is one minute and the variance is zero.

If I recharge it before, it’s a lottery. Nine times out of ten, I’ll catch the same train, so I’ll lose zero minutes. The tenth time, I’ll miss the train and spend ten minutes waiting for the next one. The mean is exactly the same, one minute! — but the variance is far from zero.

So which is the right choice? Ah, that depends on my day’s schedule and my mood and my personality. There’s nonlinearity for you.

[24 March 2018]

France, USA, China

Here in France for the year, I marvel that a country can be so advanced and rich and organized, such a complete civilization when you’re living inside it, and yet not seem to matter much to the world at large.

The reason is simply scale. France has 67 million inhabitants, so with 320 million, the USA is four or five times bigger. France has little chance against a disparity of that magnitude.

What if there were a rich, organized country four or five times bigger than the USA? Well, the population of China is around 1380 million. Stay tuned.

[30 January 2018]

Truth in four words

In the last couple of days I’ve had two good examples of somebody saying it all in just four words.

An academic couple were reminiscing about how they got through final exams years ago. She described how she prepared an elaborate diagram detailing what topic she would work on, each quarter-hour throughout the exam period. He said,

“I just read stuff.”

And now here I am at the MONA museum in Hobart listening on the audioguide to the German artist Julius Popp describing his work bit.fall, in which words appear as if by magic in falling water droplets. It’s remarkable when you first see it, and for him after a few years, it seems it’s still remarkable:

“I get sometimes chickenskin.”

[4 February 2018]

Women in science

Women have contributed much less to the physical sciences than men. It’s depressing and it’s glaring and it almost poisons any discussion of the history of, say, physics or mathematics.

Suppose you accept, as I do, that to the best of our knowledge the sexes are equal in intrinsic ability to do science. That leaves a hierarchy of possible explanations:

(1) Women contribute as much as men, but their contributions are not acknowledged.

(2) Women would be able to contribute as much as men, but they are squeezed out of the profession.

(3) Women would be able to contribute as much as men, but too few end up with the right education and career goals.

In the heat of discussion you will hear people claim that it’s all about (1) and (2), or even just (1). In fact, (3) is probably the biggest explanation, and it is here that we must hope for truly large-scale changes in the future. But (1) and (2) certainly do happen, and one can understand the anger they cause.

[30 November 2017]