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Mu-Tao Wang

Mu-Tao Wang is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mu-Tao Wang rather than just read about it. In short: Mu-Tao Wang (Chinese: 王慕道; pinyin: Wáng Mùdào) is a Taiwanese mathematician who is a professor of mathematics at Columbia University. Education In 1984, Wang enrolled at National Taiwan University (NTU) with the initial intent to study international business but, after a year, he switched to mathematics.

Key takeaways

  • Mu-Tao Wang belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Mu-Tao Wang to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Mu-Tao Wang from memory before moving on to harder problems.

Reference excerpt

Mu-Tao Wang (Chinese: 王慕道; pinyin: Wáng Mùdào) is a Taiwanese mathematician who is a professor of mathematics at Columbia University.

Education In 1984, Wang enrolled at National Taiwan University (NTU) with the initial intent to study international business but, after a year, he switched to mathematics. He graduated from NTU with his Bachelor of Science (B.S.) in 1988 and his Master of Science (M.S.) in 1992, both in mathematics. Wang then completed advanced studies in the United States, earning his Ph.D. in mathematics in 1998 from Harvard University. His doctoral dissertation, "Generalized harmonic maps and representations of discrete groups," was supervised by Fields Medal laureate Shing-Tung Yau.

Career Wang joined the Columbia faculty as an assistant professor in 2001, and was appointed full professor in 2009. Before joining the faculty at Columbia, Wang was Szego Assistant Professor at Stanford University. He was a Sloan Research Fellow from 2003 to 2005. In 2007, he was named a Kavli Fellow of the National Academy of Sciences and was awarded the Chern Prize. Wang is a Fellow of the American Mathematical Society and won the Morningside Gold Medal of Mathematics in 2010. In 2010, Wang delivered the plenary address at the International Congress of Chinese Mathematicians, and was plenary speaker at the International Congress on Mathematical Physics. In addition, he was also plenary speaker at the International Conference on Differential Geometry in 2011. He was elected to Academia Sinica in 2022. After winning the Morningside Medal, Wang told interviewers that he did not consider himself a particularly good student and did not consistently make good grades. He struggled with studying topics which did not interest him just for the grade, but spends a lot of time on subjects which interested him. He credits his career in mathematics to two people: his mother and his thesis adviser Shing-Tung Yau. He cites his mother's support and understanding of his decision to switch to mathematics in university despite it being a much less lucrative field, and describes meeting Yau in 1992 as the pivotal point in his life when he decided to make mathematics research his primary focus.

Work Wang's research is focused in the fields of differential geometry and mathematical physics, specifically general relativity. He has studied higher co-dimensional mean curvature flow extensively, leading to criteria relating to the flow's existence, regularity, and convergence. In the field of general relativity, he is especially known for his work on quasilocal mass–energy; the Wang-Yau quasi-local mass is named in his honor.

Selected bibliography "A fixed point theorem of isometry action on Riemannian manifolds", Journal of Differential Geometry 50 (1998), no. 2, 249-267 "Mean curvature flow of surfaces in Einstein four-manifolds", Journal of Differential Geometry 57 (2001), no. 2, 301-338 "Long-time existence and convergence of graphic mean curvature flow in arbitrary codimension", Inventiones Mathematicae 148 (2002), no. 3, 525-543 (with Knut Smoczyk) "Mean curvature flows of Lagrangian submanifolds with convex potentials", Journal of Differential Geometry 62 (2002), no. 2, 243-257 "The Dirichlet problem for the minimal surface system in arbitrary codimension", Communications on Pure and Applied Mathematics 57 (2004), no. 2, 267-281 (with Shing-Tung Yau) "Isometric embeddings into the Minkowski space and new quasi-local mass", Communications in Mathematical Physics 288 (2009), no. 3, 919-942 (with Ivana Medoš) "Deforming symplectomorphisms of complex projective spaces by the mean curvature flow", Journal of Differential Geometry 87 (2011), no. 2, 309-342 (with Simon Brendle and Pei-Ken Hung) "A Minkowski type inequality for hypersurfaces in the Anti-de Sitter-Schwarzschild manifold", Communications on Pure and Applied Mathematics (with Po-Ning Chen and Shing-Tung Yau) "Quasilocal angular momentum and center of mass in general relativity", arXiv:1312.0990

References

External links Mu-Tao Wang at the Mathematics Genealogy Project Vita

Worked examples

Example 1 — a first encounter with Mu-Tao Wang

Start with the simplest possible case. Write down what Mu-Tao Wang claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mu-Tao Wang before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mu-Tao Wang ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mu-Tao Wang

In research
Mu-Tao Wang appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Mu-Tao Wang in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Mu-Tao Wang is common in secondary-school and first-year university syllabi. It links to neighbouring topics 20th-century Taiwanese mathematicians, 21st-century Taiwanese mathematicians, Columbia University faculty, so understanding it makes those chapters shorter.
In everyday life
Look for Mu-Tao Wang outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Mu-Tao Wang in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Mu-Tao Wang means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Mu-Tao Wang out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mu-Tao Wang in simple terms?

Mu-Tao Wang (Chinese: 王慕道; pinyin: Wáng Mùdào) is a Taiwanese mathematician who is a professor of mathematics at Columbia University. Education In 1984, Wang enrolled at National Taiwan University (NTU) with the initial intent to study international business but, after a year, he switched to mathem…

Why does Mu-Tao Wang matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mu-Tao Wang?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mu-Tao Wang.

Tags

  • 20th-century Taiwanese mathematicians
  • 21st-century Taiwanese mathematicians
  • Columbia University faculty
  • Differential geometers
  • Fellows of the American Mathematical Society
  • Harvard Graduate School of Arts and Sciences alumni
  • Living people
  • Mathematical physicists
  • Members of Academia Sinica
  • National Taiwan University alumni

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