Wang Yuan (mathematician)

Wang Yuan (Chinese: 王元; pinyin: Wáng Yuán; born April 29, 1930) is a Chinese mathematician and writer known for his contributions to the Goldbach conjecture. He is a former president of the Chinese Mathematical Society and head of the Institute of Mathematics, Chinese Academy of Sciences.[1]

This is a Chinese name; the family name is Wang.
Wang Yuan
Born (1930-04-29) April 29, 1930
Lanxi, Zhejiang, China
NationalityChinese
Alma materZhejiang University
Known forNumber theory, History of mathematics, Numerical analysis, Design of experiments
Scientific career
FieldsMathematics
InstitutionsChinese Academy of Sciences
Doctoral advisorHua Luogeng
Notable studentsShou-Wu Zhang
InfluencedKai-Tai Fang

Life

Wang was born in Lanxi, Zhejiang, China. His father was a magistrate in the local government. Because of the Japanese invasion (the Second Sino-Japanese War), Wang's family had to move away from Zhejiang Province, and finally arrived at the southeast city Kunming in Yunnan in 1938. 1942, Wang's father rose to the position of Chief Secretary of the Academia Sinica. 1946 after the Japanese surrender, his family moved to the capital city, Nanjing.

Wang entered Yingshi University (later merged into National Chekiang University, now Zhejiang University) in Hangzhou, and graduated from the Department of Mathematics in 1952.[2] He then earned a position in the Institute of Mathematics, Academia Sinica. Hua Luogeng was his academic adviser and one of his closest collaborators. 1946–1949, he was the Acting Director of the institute. In 1949, Wang separated with his father, who went to Taiwan.

1966, Wang's career was interrupted by the Cultural Revolution. He was unable to work for more than five years, until 1972. During this time, Wang was harassed and put through interrogation.

1978, Wang was back to his professorship, in the Institute of Mathematics at the Chinese Academy of Sciences. 1980, he was elected to be a member of Chinese Academy of Science. 1988–1992, he was the president of the Chinese Mathematical Society. Wang also worked in the United States for a period of time. He has visited the Institute of Advanced Studies and taught at University of Colorado.

Wang advised Shou-Wu Zhang when he studied at the Chinese Academy of Sciences for his master's degree from 1983 to 1986.[3][4][5]

Wang is the father of Chinese American computer scientist James Z. Wang.[2]

Research

Number theory

Wang's research focuses on the area of number theory, especially in the Goldbach conjecture, through sieve theory and the Hardy-Littlewood circle method. He obtained a series of important results in the field of number theory.[6][7]

Numerical integration and statistics

With Hua Luogeng (华罗庚, alternatively Hua Loo-Keng), he developed high-dimensional combinatorial designs for numerical integration on the unit cube. Their work came to the attention of the statistician Kai-Tai Fang, who realized that their results could be used in the design of experiments. In particular, their results could be used to investigate interaction, for example, in factorial experiments and response surface methodology. Collaborating with Fang led to uniform designs, which have been used also in computer simulations.[8][9][10][11]

Books
  • Wang, Yuan (1991). Diophantine equations and inequalities in algebraic number fields. Berlin: Springer-Verlag. doi:10.1007/978-3-642-58171-7. ISBN 9783642634895. OCLC 851809136.CS1 maint: ref=harv (link)
  • Wang, Yuan (2005). Wang, Yuan (ed.). Selected papers of Wang Yuan. Singapore: World Scientific. ISBN 9812561978. OCLC 717731203.
  • Fang, Kai-Tai; Wang, Yuan (1993). Number-theoretic methods in statistics. Chapman and Hall Monographs on Statistics and Applied Probability. 51. CRC Press. ISBN 0412465205. OCLC 246555560.CS1 maint: ref=harv (link)

Citations
  1. http://forum.netbig.com/bbscs/read.bbscs?bid=7&id=6656662&page=2
  2. "Yuan Wang's Home Page, Goldbach Conjecture -- 数学家王元 -- 哥德巴赫猜想".
  3. "从放鸭娃到数学大师" [From ducklings to mathematics master] (in Chinese). Academy of Mathematics and Systems Science. 11 November 2011. Retrieved 5 May 2019.
  4. "專訪張壽武：在數學殿堂里，依然懷抱小學四年級的夢想" [Interview with Zhang Shou-Wu: In the mathematics department, he still has his dream from fourth grade of elementary school] (in Chinese). Beijing Sina Net. 3 May 2019. Retrieved 5 May 2019.
  5. "专访数学家张寿武：要让别人解中国人出的数学题" [Interview with mathematician Zhang Shouwu: Let others solve the math problems of Chinese people] (in Chinese). Sina Education. 4 May 2019. Retrieved 5 May 2019.
  6. "Wang Yuan (1930-)".
  7. http://www.cas.cn/html/Dir/2002/12/23/4499.htm
  8. Loie (2005)
  9. Fang, Kai-Tai; Wang, Yuan; Bentler, Peter M. (1994). "Some applications of number-theoretic methods in statistics". Statistical Science. 9 (3): 416–428. doi:10.1214/ss/1177010392.CS1 maint: ref=harv (link)
  10. Santner, Williams & Notz (2003, Chapter 5.4 "Uniform designs", 145–148): Santner, Thomas J.; Williams, Brian J.; Notz, William I. (2003). The design and analysis of computer experiments. Springer Series in Statistics (2013 printing ed.). Springer-Verlag. ISBN 1475737998.CS1 maint: ref=harv (link)
  11. Li & Yuan (2005, pp. xi and xx–xxi "7) Number-theoretic methods in statistics"):
gollark: In theory, this is possible.
gollark: It's a somewhat hackerized version of one I found on github.
gollark: Commands?
gollark: Nobody can help you now.
gollark: You know what they say, that which is not dead may eternal lie.

References
  • Li, Wenlin; Yuan, Xiangdong (2005). "Wang Yuan: A brief outline of his life and works". In Wang, Yuan (ed.). Selected papers of Wang Yuan. Singapore: World Scientific. pp. xi–xxii. doi:10.1142/9789812701190_fmatter. ISBN 9812561978. OCLC 717731203.CS1 maint: ref=harv (link)
  • Loie, Agnes W. L. (2005). "A conversation with Kai-Tai Fang". In Fan, Jianqing; Li, Gang (eds.). Contemporary multivariate analysis and design of experiments: In celebration of Professor Kai-Tai Fang's 65th Birthday. Series in biostatistics. 2. New Jersey and Hong Kong: World Scientific. pp. 1–22. ISBN 981-256-120-X. OCLC 63193398.CS1 maint: ref=harv (link)
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