Hacker Newsnew | past | comments | ask | show | jobs | submitlogin
Yitang “Tom” Zhang and fame in mathematics (nautil.us)
86 points by CapitalistCartr on Dec 30, 2016 | hide | past | favorite | 28 comments


I found his old beef with his graduate advisor interesting.

From wikipedia:

"Zhang's Ph.D. work was on the Jacobian conjecture. After graduation, Zhang had a hard time finding an academic position. In a 2013 interview with Nautilus magazine, Zhang said he did not get a job after graduation. "During that period it was difficult to find a job in academics. That was a job market problem. Also, my advisor did not write me letters of recommendation." The reason behind this is that Zhang's research pointed out the mistakes made by his advisor Tzuong-Tsieng Moh's previous work. Moh was very unhappy with this and refused to write the job recommendation letter for Zhang. Zhang made this claim again in George Csicsery’s documentary film Counting From Infinity while discussing his difficulties at Purdue and in the years that followed. Tzuong-Tsieng Moh, his Ph.D. advisor at Purdue, said that Zhang never came back to him requesting recommendation letters.[8] In a detailed profile published in The New Yorker magazine in February 2015, Alec Wilkinson wrote Zhang "parted unhappily" with Moh, and that Zhang 'left Purdue without Moh’s support, and, having published no papers, was unable to find an academic job'"

His advisor wrote his own version of events here: https://www.math.purdue.edu/~ttm/ZhangYt.pdf

Crazy how this one guy derailed a genius like Zhang. Glad to see he found his way back, but sad that he had to endure almost a decade in the wilderness - at one point even homeless (living out of his car) - working minimum wage jobs just to get by.


It actually sounds like the "having published no papers" bit was the primary reason he wasn't able to get a job. Not having an advisor recommendation is not a good sign, but it's hard to argue with published work.


I don't think a PhD can get any interview for academic jobs at all without adviser's reference letter.

It's worse than no publications.


True, but it's not unheard of for math PhD's to graduate with no refereed publications (certainly they'll have a thesis), so it really was the lack of his advisor's recommendation that killed his career.


That's a valid point. I know in Mathematics quality seems to trump quantity but having _no_ articles certainly didn't do him any favors.

But the lack of LORs... that would be a scarlet letter, no? I've never heard of a PHD advisor doing that; seems quite intentional and not at all like the way he presents it in his little essay I linked in my last post.


Publication rates in mathematics are much lower than in other fields, so the lack of publications isn't completely unusual. The lack of a letter from the advisor though would be seen as a major red flag.


It is worth noting he already had a published paper before arriving in the US.


I find this very inspiring, because it seems like he's not necessarily a genius but just worked really hard and didn't give up. Also, he was in his late fifties when he published his proof, going against the commonly held belief that mathematicians do their best work before 40.

[edit:] Peter Sarnak from Princeton does call him a genius. When you read about him online, you actually find several other people who have known/worked with him to call him that as well. So I guess I was wrong.

> Why did you solve this problem and not somebody else?

> I think the important reason is that I persisted for several years. I didn’t give up.

> How long did you work on your conjecture?

> I worked on my conjecture for four years. I worked on it seven days a week. I didn’t take any breaks almost. If we count the time I spent thinking about the problem, then it was more than 10 hours a day. If you count sitting in front of a desk or using a computer, then it was five or six hours a day.


I have different interpretation of being a genius. Being a genius doesn't mean she or he can solve really hard problems easily. One is a genius if he or she does solve really hard problems, especially in the fields like math, physics, etc. where all low-hanging fruits were way gone. Both Zhang and Perelman are genius, in my eyes. It doesn't matter how long it takes one to solve the hard problems. It sounds a fairy tale to me that someone wakes up one day with a genius thought, and two weeks later, complete a solution for a really hard problem in math, physics, etc. in nowadays.


One thing I think you will notice both with him and others who are successful was that they never were interested in fame or success. He seems to do mathematics merely because he enjoys it.

What I'm trying to say is that perhaps you shouldn't worry too much about whether you are a genius or smart enough but just try to be happy by doing something you enjoy.


Yeah, also it's worth pointing out that he finished a PhD in math. That is already genius level mathematics as far as most people are concerned; certainly relative to your average undergraduate STEM student.


> Q: Is the most likely application of this result in cryptography?

> A: Yes, this should be true.

> Q: Are you interested in cryptography?

> A: Not so much.

Pure mathematicians are awesome.


And:

> Q: What do you think of Grigori Perelman, who turned down the Fields Medal?

> A: I think it was because of his personality also. Maybe he himself was very proud of himself. Maybe he looked down on other people, even looked down on very important prizes and medals.

> Q: Would you accept a medal?

> A: Yes.

> Q: What would you do with the money?

> A: Maybe the best way would be to give the money to my wife. Let her deal with this issue.

Wow.


> Wow.

There's quite a few cultures where it's a traditional norm to put one's wife in charge of the household finances (cultures in which that wife tends to be stuck at home running it, whereas the husband is mostly home to sleep and otherwise working himself to death). The husband is given sort of an allowance to spend. It's not a strange idea for many people on the planet.


I really like this guy, and I'd probably answer the last two questions in the same way (wife coming soon!).


I don't know why this result would have applications in crypto; you could have just assumed the twin prime conjecture to prove your algorithm correct.


There's an interesting 1-hour-long documentary about him: https://www.youtube.com/watch?v=XIIyKWxGhEA


Follow-up video where Terence Tao explains in very simple terms the history of the problem(s) and how people improved on Zhang's 70,000,000 constant afterwards: https://www.youtube.com/watch?v=pp06oGD4m00


The article mentioned Polymath 8, which lowered the bound from H=7*10^7 to 4680. This bound has since been lowered[0] to 246. --- [0]: https://terrytao.wordpress.com/2014/02/21/polymath8b-ix-larg...


I believe it's 246 iff the generalized Elliott-Halberstam is true, and 4680 iff it's false.

edit: Never mind. You're right. It's 6 assuming the generalized Elliott–Halberstam conjecture is true, and 246 without assuming the conjecture.


"What would you say to a young student who wants to solve a problem?

Keep going. Do not easily give up."

Sounds like good advice.


Such a huge inspiration. He has achieved the impossible with all odds against him.


Yitang Zhang and the Twin Prime Conjecture [2015 Documentary]https://www.youtube.com/watch?v=XIIyKWxGhEA


Is Zhang a genius? Maybe not, but consider the possibility that he is. We have a particular expectation of what a genius looks and sounds like that he doesn't conform to.

Jeremy Lin, again, didn't look like a star, except to a few geeks who reckoned his numbers told a different story to that his own coach believed.

How many people like Lin and Zhang are we missing? Those who, given a little more opportunity, could have become obviously exceptional.


I can't endorse the movie "Whiplash" because it is so crass, but it takes an interesting look at what it takes to be truly great. I don't think we "miss" people like Lin and Zhang because they make themselves. Intelligence and skill really make a small part of the overall requirement for success. Hard work, perseverance, preparation, and choosing the right problems to work on are really more important.


But the problem stands no matter which qualities you think are important. Lin, for instance, was just plain lucky. He was due to be dropped but a spate of injuries gave him an opportunity to shine he hadn't had before. Equally, you can talk about any number of desirable qualities Zuckerberg and Brin had but you can't ignore the fact that they went to accelerators for gifted children rather than a public school in the rough end of town.


Certainly we could make it more likely for such people to reach their fullest potential, though?


This guy sounds like a plant. A plant which is great at mathematics.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: