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John N. Mather

John N. Mather 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 John N. Mather rather than just read about it. In short: John Norman Mather (June 9, 1942 – January 28, 2017) was a mathematician at Princeton University known for his work on singularity theory and Hamiltonian dynamics. Biography He was descended from Atherton Mather (1663–1734), a cousin of Cotton Mather.

John N. Mather — main illustration
John N. Mather — illustration

Key takeaways

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

Reference excerpt

John Norman Mather (June 9, 1942 – January 28, 2017) was a mathematician at Princeton University known for his work on singularity theory and Hamiltonian dynamics.

Biography He was descended from Atherton Mather (1663–1734), a cousin of Cotton Mather. His father, Norman Mather, was a Princeton University professor of electrical engineering. He spent his undergraduate years at Harvard University (BA 1964) and his graduate years at Princeton University (Ph.D. 1967). In 1969, after two years spent at the Institut des Hautes Etudes Scientifiques, Mather was appointed Associate Professor at Harvard University. He was promoted to Full Professor in 1971. He taught Math 55. Some of his students in that class included Bill Gates and Peter Galison. In 1974 Mather accepted a visiting Professorship at Princeton University, joining his father on the University faculty. His position was converted to a Full Professorship the following year. He was a member of the National Academy of Sciences beginning in 1988. He received the John J. Carty Award of the National Academy of Sciences in 1978 (for pure mathematics) and the George David Birkhoff Prize in applied mathematics in 2003. He also received the Brazilian Order of Scientific Merit in 2000 and the Brouwer Medal from the Royal Dutch Mathematical Society in 2014.

Contributions His early work dealt with the stability of smooth mappings between smooth manifolds of dimensions n (for the source manifold N) and p (for the target manifold P). He determined the precise dimensions (n,p) for which smooth mappings are stable with respect to smooth equivalence by diffeomorphisms of the source and target (i.e., infinitely differentiable coordinate changes). Mather also proved the conjecture of the French topologist René Thom that under topological equivalence smooth mappings are generically stable: the subset of the space of smooth mappings between two smooth manifolds consisting of the topologically stable mappings is a dense subset in the smooth Whitney topology. His notes on the topic of topological stability are still a standard reference on the topic of topologically stratified spaces. In the 1970s, Mather switched to the field of dynamical systems. He made the following main contributions to dynamical systems that deeply influenced the field.

He introduced the concept of Mather spectrum and gave a characterization of Anosov diffeomorphisms. Jointly with Richard McGehee, he gave an example of collinear four-body problem which has initial conditions leading to solutions that blow up in finite time. This was the first result that made the Painlevé conjecture plausible. He developed a variational theory for the globally action minimizing orbits for twist maps (convex Hamiltonian systems of two degrees of freedom), along the line of the work of George David Birkhoff, Marston Morse, Gustav A. Hedlund, et al. This theory is now known as Aubry–Mather theory. He developed the Aubry–Mather theory in higher dimensions, a theory which is now called Mather theory. This theory turned out to be deeply related to the viscosity solution theory of Michael G. Crandall, Pierre-Louis Lions et al. for Hamilton–Jacobi equation. The link was revealed in the weak KAM theory of Albert Fathi. He announced a proof of Arnold diffusion for nearly integrable Hamiltonian systems with three degrees of freedom. He prepared the technique, formulated a proper concept of genericity and made some important progresses towards its solution. In a series of papers, he proved that for certain regularity r, depending on the dimension of the smooth manifold M, the group Diff(M, r) is perfect, i.e. equal to its own commutator subgroup, where Diff(M, r) is the group of C^r diffeomorphisms of a smooth manifold M that are isotopic to the identity through a compactly supported C^r isotopy. He also constructed counterexamples where the regularity-dimension condition is violated. Mather was one of the three editors of the Annals of Mathematics Studies series published by Princeton University Press.

See also List of members of the National Academy of Sciences

References

External links Mather notes on Topological Stability (on the Princeton University website, pdf file) John Mather bibliography on the Princeton University website (pdf file) John N. Mather at the Mathematics Genealogy Project Obituary on the Princeton University website

Illustrations

John N. Mather illustration

Worked examples

Example 1 — a first encounter with John N. Mather

Start with the simplest possible case. Write down what John N. Mather 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 John N. Mather 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 John N. Mather 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 John N. Mather

In research
John N. Mather 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 John N. Mather 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
John N. Mather is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1942 births, 2017 deaths, 20th-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for John N. Mather 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 John N. Mather in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what John N. Mather 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 John N. Mather out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is John N. Mather in simple terms?

John Norman Mather (June 9, 1942 – January 28, 2017) was a mathematician at Princeton University known for his work on singularity theory and Hamiltonian dynamics. Biography He was descended from Atherton Mather (1663–1734), a cousin of Cotton Mather.

Why does John N. Mather 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 John N. Mather?

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 John N. Mather.

Tags

  • 1942 births
  • 2017 deaths
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • Academics from Los Angeles
  • Brouwer Medalists
  • Dynamical systems theorists
  • Harvard University alumni
  • Institute for Advanced Study visiting scholars
  • Mathematicians from California
  • Members of the United States National Academy of Sciences
  • Princeton University alumni

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