Mathematics is the Pursuit of Beauty
This Behind the Scenes article was provided to LiveScience in partnership with the National Science Foundation.
Manjul Bhargava, who has loved mathematics for as long as he can remember, created and solved his first algebra problem at age seven, stacking oranges into a triangular pyramid and trying to figure out how many he would need if he had n oranges on one side. "I still remember the answer," he says. "It's n (n + 1) (n + 2)/6."
While his solution might well mystify many of us, it nevertheless was an easy and auspicious start for Bhargava, a National Science Foundation-funded scientist and math whiz who, 10 years ago at age 28, became the second youngest full professor in the history of Princeton University, and who has solved math problems that have stymied some of the best mathematicians in the world.
He figured out, for example, the answer to a problem that had eluded the legendary Carl Friedrich Gauss (1777-1855), a German regarded as one of the greatest mathematicians of all time. In addition, Bhargava and one of his students have made progress on another problem, one of the seven "Millennium Problems" of the Clay Mathematics Institute, a privately funded organization that will provide $7 million for the solutions, or $1 million for each.
Bhargava, who specializes in number theory — which involves understanding whole numbers and how they relate to one another — thinks of his craft as art, rather than science.
"When you discover things about numbers, it's very beautiful," he says. "When mathematicians are thinking about their problems, we're not thinking about their various applications, but rather are pursuing beauty. That's how pure mathematicians think."
At the same time, he acknowledges that "mathematics plays a very important role in our society," and notes that often the applications surprise the very scientists who work on it.
"When mathematicians started working with prime numbers, they never imagined that primes could have any application in the real world, but they now have become of central importance, especially in cryptography — the science of encryption," he says. "Every time we give our credit card number over the Internet, we want it to be secure. The encryption schemes that ensure this all use prime numbers."
NSF has been funding Bhargava's work through its Division of Mathematical Sciences with about $100,000 a year for three years. He has just completed the final year of the grant.
He approaches equations looking for whole number solutions, and patterns in those solutions. "It's about understanding sequences of numbers, such as square numbers, or prime numbers," he says. "Sequences are fundamental to many areas of mathematics. If you can understand them and how they are distributed, it leads to the solution of many other questions."
The Clay problem he and his student have worked on recently is called the Birch and Swinnerton–Dyer conjecture, a question essentially about advanced calculus but with number theory implications, that involves understanding elliptic curves, or equations of the form y2 = x3+ax+b. "When you graph this equation, you get a curve," he says.
"Here, a and b are two whole numbers that are fixed, so you are trying to find solutions for x and y, and we're looking for solutions in which x and y are whole numbers," he continues. "We are also interested in rational numbers, which are ratios of whole numbers. The question is: given such an equation, are there just a handful of solutions in rational numbers, or are there infinitely many? There is no algorithm known to decide whether such an equation has finitely many or infinitely many solutions. The Birch and Swinnerton-Dyer conjecture, if known, would give such an algorithm."
He and his student proved that "if you let a and b vary, then at least 10 percent of the time this equation has no solutions with x and y being rational numbers," he says. "That wasn't known before. As a consequence of that, we showed that the Birch and Swinnertown-Dyer conjecture is true at least 10 percent of the time."
Earlier, when he was a graduate student, Bhargava also figured out what the famous Gauss did not.
One of Gauss's major discoveries was called the composition of binary quadratic forms. A binary quadratic form is an expression which looks like ax2 +bxy+cy2, with a, b and c being whole numbers that are fixed, and x and y being the variables.
"Gauss discovered a tricky way of taking two of these forms and using them to make a third one – this is now known as Gauss Composition," Bhargava says. "It has all sorts of amazing properties. The question I addressed in my Ph.D. thesis was: is this something that works only for quadratic forms? Or were there analogues of this composition for other, higher degree forms?"
Bhargava showed that quadratic forms were not the only forms with such composition, but that there were other forms, for example, cubic forms, that have such composition. ``Gauss presented it only for quadratic forms and it was an open question as to whether it was isolated or part of a bigger theory. In my thesis, I showed that Gauss composition is in fact only one of at least 14 such laws."
Bhargava, who was born in Canada, grew up on Long Island and graduated from Harvard University, where he majored in math, also is an accomplished musician who plays the tabla, an Indian percussion instrument. For a time, he thought he might become a musician, but math prevailed. "I figured if I became a professional musician, I wouldn't have time to do math, but if I became a professional mathematician in academia, I could still make time for music," he says.
His father was a chemist and his mother, who raised him, is a professor of mathematics at Hofstra University. Bhargava's family believed strongly in the value of a regular public school education, and did not encourage him to skip grades.
He did, however, skip school — occasionally for months at a time. He took off half of 3rd grade, 7th grade, 12th grade and sophomore year in college, to visit his grandparents in Jaipur, India. While in India, he studied the tabla and learned Sanskrit from his grandfather. Also, rather than go to his own school, he attended his mother's college-level math classes whenever he could get away with it.
"I didn't go to school very often," he says. "Lots of times I would get up, and ask my mother if I could just go and sit in on her classes instead of going to school, and she let me," he says. "She was pretty cool about it."
Editor's Note: The researchers depicted in Behind the Scenes articles have been supported by the National Science Foundation, the federal agency charged with funding basic research and education across all fields of science and engineering. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation. See the Behind The Scenes Archive.
