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Gilles Pisier

Gilles Pisier 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 Gilles Pisier rather than just read about it. In short: Gilles I. Pisier (born 18 November 1950) is a professor of mathematics at the Pierre and Marie Curie University and a distinguished professor and A.G. and M.E.

Gilles Pisier — main illustration
Gilles Pisier — illustration

Key takeaways

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

Reference excerpt

Gilles I. Pisier (born 18 November 1950) is a professor of mathematics at the Pierre and Marie Curie University and a distinguished professor and A.G. and M.E. Owen Chair of Mathematics at the Texas A&M University. He is known for his contributions to several fields of mathematics, including functional analysis, probability theory, harmonic analysis, and operator theory. He has also made fundamental contributions to the theory of C*-algebras. Gilles is the younger brother of French actress Marie-France Pisier.

Research Pisier has obtained many fundamental results in various parts of mathematical analysis.

Geometry of Banach spaces

In the "local theory of Banach spaces", Pisier and Bernard Maurey developed the theory of Rademacher type, following its use in probability theory by J. Hoffman–Jorgensen and in the characterization of Hilbert spaces among Banach spaces by S. Kwapień. Using probability in vector spaces, Pisier proved that super-reflexive Banach spaces can be renormed with the modulus of uniform convexity having "power type". His work (with Per Enflo and Joram Lindenstrauss) on the "three–space problem" influenced the work on quasi–normed spaces by Nigel Kalton.

Operator theory

Pisier transformed the area of operator spaces. In the 1990s, he solved two long-standing open problems. In the theory of C*-algebras, he solved, jointly with Marius Junge, the problem of the uniqueness of C* -norms on the tensor product of two copies of B(H), the bounded linear operators on a Hilbert space H. He and Junge were able to produce two such tensor norms that are nonequivalent. In 1997, he constructed an operator that was polynomially bounded but not similar to a contraction, answering a famous question of Paul Halmos.

Awards He was an invited speaker at the 1983 ICM and a plenary speaker at the 1998 ICM. In 1997, Pisier received the Ostrowski Prize for this work. He is also a recipient of the Grands Prix de l'Académie des Sciences de Paris in 1992 and the Salem Prize in 1979. In 2012 he became a fellow of the American Mathematical Society.

Books Pisier has authored several books and monographs in the fields of functional analysis, harmonic analysis, and operator theory. Among them are:

Pisier, Gilles (1989). The volume of convex bodies and Banach space geometry. Cambridge: Cambridge University Press. ISBN 0-521-36465-5. OCLC 19130153. Pisier, Gilles (25 August 2003). Introduction to Operator Space Theory. Cambridge University Press. doi:10.1017/cbo9781107360235. ISBN 978-0-521-81165-1. Pisier, Gilles (1996). The operator Hilbert space OH, complex interpolation and tensor norms. Providence, Rhode Island. ISBN 978-1-4704-0170-2. OCLC 891396783.{{cite book}}: CS1 maint: location missing publisher (link) Pisier, Gilles; Conference Board of the Mathematical Sciences (1986). Factorization of linear operators and geometry of Banach spaces. Providence, R.I.: Published for the Conference Board of the Mathematical Sciences by the American Mathematical Society. ISBN 0-8218-0710-2. OCLC 12419949. Pisier, Gilles (1996). "Similarity Problems and Completely Bounded Maps". Lecture Notes in Mathematics. Vol. 1618. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-662-21537-1. ISBN 978-3-540-60322-1. ISSN 0075-8434. Marcus, Michael B.; Pisier, Gilles (31 December 1982). Random Fourier Series with Applications to Harmonic Analysis. (AM-101). Princeton University Press. doi:10.1515/9781400881536. ISBN 978-1-4008-8153-6.

See also Pisier–Ringrose inequality

References

External links Official website Official website Gilles Pisier at the Mathematics Genealogy Project

Illustrations

Gilles Pisier illustration

Worked examples

Example 1 — a first encounter with Gilles Pisier

Start with the simplest possible case. Write down what Gilles Pisier 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 Gilles Pisier 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 Gilles Pisier 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 Gilles Pisier

In research
Gilles Pisier 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 Gilles Pisier 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
Gilles Pisier is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1950 births, 20th-century French mathematicians, 21st-century French mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Gilles Pisier 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 Gilles Pisier in 20 minutes

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

Frequently asked questions

What is Gilles Pisier in simple terms?

Gilles I. Pisier (born 18 November 1950) is a professor of mathematics at the Pierre and Marie Curie University and a distinguished professor and A.G. and M.E.

Why does Gilles Pisier 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 Gilles Pisier?

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 Gilles Pisier.

Tags

  • 1950 births
  • 20th-century French mathematicians
  • 21st-century French mathematicians
  • Academic staff of the University of Paris
  • Fellows of the American Mathematical Society
  • Foreign fellows of the Indian National Science Academy
  • Living people
  • Members of the French Academy of Sciences
  • Texas A&M University faculty
  • École polytechnique alumni

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