Chinese Migrant Worker Amazes Academics By Solving Complex Math Problem

Posted: Jul 19 2016, 2:57am CDT | by , Updated: Jul 19 2016, 11:06pm CDT, in News | Latest Science News

Chinese Migrant Worker Amazes Academics by Solving Complex Math Problem

Yu Jianchun has no formal education, but possess a natural ability to solve the most complex of math problems.

You might have seen Matt Damon’s Oscar-nominated movie “Good Will Hunting.” The movie depicts the fictional story of a school janitor who has no formal education, but has the natural talent to solve the most complex math problems. This story has become a reality in China.

A 33-year-old Chinese migrant worker with no college degree has solved a complex methodical problem using his self-created method. Yu Jianchun, who works for a parcel delivery company has a great passion for numbers and uses his own way to verify Carmichael numbers.

Carmichael numbers, also called pseudoprimes, are not actual prime numbers but still they can pass Fermat’s primality test and makes it even more difficult to determine true prime numbers – the numbers can be divided evenly by 1 or itself and have a whole number greater than 1.

The method which has been applied by Yu has amazed mathematicians and they admit it is the more effective solution than the conventional one.

"It was a very imaginative solution. He has never received any systematic training in number theory nor taken advanced math classes. All he has is an instinct and an extreme sensitivity to numbers." Cai Tianxin, a math professor at Zhejiang University told CNN.

The official construction of an infinite family of Carmichael number was made almost two decades ago followed by many variations later on but all had a basic theme whereas Yu’s proof relies on a completely different theme.

Yu wrote the proof during his spare time in 2015 and had the opportunity to present it –along with solutions to four other problems at a seminar in Zhejiang University last month.

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Hira Bashir covers daily affairs around the world.




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