Fan-Rong King Chung Graham (Chinese: 金芳蓉; pinyin: Jīn Fāngróng; born October 9, 1949), known professionally as Fan Chung, is a Taiwanese-born American mathematician who works mainly in the areas of spectral graph theory, extremal graph theory and random graphs, in particular in generalizing the Erdős–Rényi model for graphs with general degree distribution (including power-law graphs in the study of large information networks).
Fan Chung | |
---|---|
金芳蓉 | |
Born | |
Nationality | American |
Alma mater | National Taiwan University (BS) University of Pennsylvania (MS, PhD) |
Known for | Spectral graph theory extremal graph theory Random graphs |
Spouse | |
Scientific career | |
Fields | Mathematics |
Institutions | University of Pennsylvania University of California, San Diego |
Doctoral advisor | Herbert Wilf |
Doctoral students | Steve Butler Sinan Aksoy Josh Tobin Olivia Simpson Mark Kempton Franklin Kenter Jake Hughes Mary Radcliffe Wenbo Zhao Alexander Tsiatas Shoaib Jamall Paul Horn Reid Andersen Ross Richardson Joshua Cooper Robert Ellis Lincoln Linyuan Lu Chao Yang |
Since 1998, Chung has been the Paul Erdős Professor in Combinatorics at the University of California, San Diego (UCSD). She received her doctorate from the University of Pennsylvania in 1974, under the direction of Herbert Wilf. After working at Bell Laboratories and Bellcore for nineteen years, she joined the faculty of the University of Pennsylvania as the first female tenured professor in mathematics. She serves on the editorial boards of more than a dozen international journals. Since 2003 she has been the editor-in-chief of Internet Mathematics. She has been invited to give lectures at many conferences, including the International Congress of Mathematicians in 1994 and a plenary lecture on the mathematics of PageRank at the 2008 Annual meeting of the American Mathematical Society. She was selected to be a Noether Lecturer in 2009. In 2024, she was elected to the United States National Academy of Sciences.[1]
Fan Chung was born on October 9, 1949, in Kaohsiung, Taiwan. Under the influence of her father, an engineer, she became interested in mathematics, especially in the area of combinatorics in high school in Kaohsiung. After high school, Chung entered the National Taiwan University (NTU) to start her career in mathematics formally. While Chung was an undergraduate, she was surrounded by many female mathematicians, and this helped encourage her to pursue and study mathematics.
After graduating from NTU with a B.S. in mathematics, Chung went on to the University of Pennsylvania to pursue a career in mathematics. There she obtained the highest score in the qualifying exam by a wide margin, catching the attention of Herbert Wilf, who would eventually become her doctoral advisor. Wilf suggested Ramsey theory as a subject Chung could work on. During a single week studying material Chung had come up with new proofs for established results in the field. Wilf said: "My eyes were bulging. I was very excited. I asked her to go to the blackboard and show me. What she wrote was incredible! In just one week, from a cold start, she had a major result in Ramsey theory. I told her she had just done two-thirds of a doctoral dissertation."[2]
Chung was awarded a M.S. in 1972 and a Ph.D. two years later. By this time, she was married and had already given birth to her first child. The same year she received her Ph.D. and started working for the Mathematical Foundations of Computing Department at Bell Laboratories in Murray Hill, New Jersey. The position at Bell Laboratories was an opportunity to work with other excellent mathematicians, but also it contributed to her mathematical world powerfully. She has published many impressive mathematical papers, and published many joint papers with Ronald Graham.
In 1974, Fan Chung graduated from the University of Pennsylvania and became a member of Technical Staff working for the Mathematical Foundations of Computing Department at Bell Laboratories in Murray Hill, New Jersey. She worked under Henry Pollak. During this time, Chung collaborated with many leading mathematicians who worked for Bell Laboratories.
In 1975, Chung published her first joint paper with Graham, On multicolor Ramsey numbers for complete bipartite graphs,[3] which was published in the Journal of Combinatorial Theory (Series B).
In 1983 the Bell Telephone Company was split up. Since Pollak joined and became head of a research unit within a new company, he asked Chung to become Research Manager. She supervised many mathematicians in the unit.
Usually with positions in management you obtain more influence and you certainly have more power to make decisions. But I do not want people to respect me because of that power. I'd rather win their admiration because of the mathematics I'm doing.
— Fan Chung, in Donald J. Albers, Making Connections: A Profile of Fan Chung, Math Horizons, September 1995, 14–18[4]
In 1990, she was one of the first to receive a Bellcore university fellowship, a sabbatical she spent at Harvard university.
After twenty years of work at Bell Laboratories and Bellcore, Chung decided to go back to the University of Pennsylvania to become a professor of mathematics. In 1998, she was named Distinguished Professor of Mathematics at the University of California, San Diego.[5]
Beyond her contributions to graph theory, Chung has used her knowledge to connect different fields of science. As she wrote in "Graph Theory in the Information Age",
Chung's life was profiled in the 2017 documentary film Girls who fell in love with Math.[7]
In 2012, she became a fellow of the American Mathematical Society.[8]
Chung was an American Mathematical Society (AMS) Council member at large.[9]
Chung has two children; the first child was born during her graduate studies from her first marriage.[10][2]
Fan Chung's first marriage ended in divorce in 1982. However, when she worked at Bell Laboratories, she met Ronald Graham. During that time, they became close friends and published many joint papers in graph theory, eventually marrying in 1983. She was married to him until his death in 2020.
In Paul Hoffman's book The Man Who Loved Only Numbers, regarding her marriage with Graham, Chung said:
Both Chung and Graham were close friends of the mathematician Paul Erdős, and have both published papers with him – 13 in her case;[12] thus, both have Erdős numbers of one. In 1998, Graham and Chung co-wrote the book Erdős on Graphs.[5]
Chung has published more than 200 research papers and three books:
Among Fan Chung's publications, her contributions to spectral graph theory are important to this area of graph theory. From the first publications about undirected graphs to recent publications about directed graphs, Fan Chung creates the solid base in the spectral graph theory to the future graph theorist.
Spectral graph theory, as one of the most important theories in graph theory, combines the algebra and graph perfectly. Historically, algebraic methods treat many types of graphs efficiently. Her work initiated a geometric approach to spectral graph theory with connections to differential geometry. According to the biography Fan Rong K Chung Graham, "Spectral graph theory studies how the spectrum of the Laplacian of a graph is related to its combinatorial properties.".
In 1997, the American Mathematical Society published Chung's book Spectral graph theory. This book became a standard textbook at many universities and is the key to study spectral graph theory for many mathematics students who are interested in this area. Fan Chung's study in the spectral graph theory brings this “algebraic connectivity” of graphs into a new and higher level.[5]
Chung's work in random graph models shed new light on the field of network science. Many real-world large information networks (such as Internet Graphs, Call Graphs, and collaboration graphs) have been observed to be well approximated by a power law distribution. Chung's work in the Chung-Lu model, pioneered the theory of treating random graphs with arbitrary degree distributions, including the power law graphs. Her work provides a solid framework for quantitative and rigorous analysis for modeling and analyzing large complex networks. It also often serves as a popular benchmark for comparing new graph models in network science.
In 2006, the American Mathematical Society and the Conference Board of the Mathematical Sciences co-published Fan Chung and Linyuan Lu's book Complex Graphs and Networks.[14] The book gave a well-structured exposition for using combinatorial, probabilistic, spectral methods as well as other new and improved tools to analyze real-world large information networks.
Fan Chung, together with Ronald Graham and Richard Wilson, introduced a strong notion of equivalence among graph properties through the control of error bounds and developed the theory of quasi-random graphs. In a series of research papers (with several coauthors), she showed that a large family of graph properties is equivalent in the sense that if a graph satisfies any one of the properties, it must satisfy all of them. The set of equivalent quasi-random properties includes a surprisingly diverse collection of properties, and therefore provides efficient methods for validating graph properties. Many (but not all) random graph properties are quasi-random. The notion of quasi-randomness has been extended to many other combinatorial structures, such as sequences, tournaments, hypergraphs and graph limits. In general, the theory of quasi-randomness gives a rigorous approach to 'random-like' or 'pseudorandom' alternatives.
A basic question in extremal graph theory is to find unavoidable patterns and structures in graphs with given density or distribution. A complementary problem is to find a smallest graph which contains every member of a given family of graphs as subgraphs. In a series of works with Paul Erdős, Chung determined the sizes and structures of unavoidable graphs and hypergraphs. With several coauthors, she also derived many elegant and surprising results on universal graphs. Her fundamental contributions in these areas of extremal graph theory have many applications in parallel computations.
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