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Paul Malliavin

Paul Malliavin 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 Paul Malliavin rather than just read about it. In short: Paul Malliavin (French: [maljavɛ̃]; September 10, 1925 – June 3, 2010) was a French mathematician who made important contributions to harmonic analysis and stochastic analysis. He is known for the Malliavin calculus, an infinite-dimensional calculus for functionals on the Wiener space, and his probabilistic proof of Hörmander’s theorem.

Paul Malliavin — main illustration
Paul Malliavin — illustration

Key takeaways

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

Reference excerpt

Paul Malliavin (French: [maljavɛ̃]; September 10, 1925 – June 3, 2010) was a French mathematician who made important contributions to harmonic analysis and stochastic analysis. He is known for the Malliavin calculus, an infinite-dimensional calculus for functionals on the Wiener space, and his probabilistic proof of Hörmander’s theorem. He was Professor at the Pierre and Marie Curie University and a member of the French Academy of Sciences from 1979 to 2010.

Personal life Malliavin was the son of René Malliavin, also known as Michel Dacier, a political writer and journalist, and Madeleine Delavenne, a physician. On 27 April 1965 he married Marie-Paule Brameret, who was also a mathematician and with whom he published several mathematical papers. They had two children.

Scientific contributions Malliavin's early work was in harmonic analysis, where he derived important results on the spectral synthesis problem, providing definitive answers to fundamental questions in this field, including a complete characterization of 'band-limited' functions whose Fourier transform has compact support, known as the Beurling-Malliavin theorem. In stochastic analysis, Malliavin is known for his work on the stochastic calculus of variation, now known as the Malliavin calculus, a mathematical theory which has found many applications in Monte Carlo simulation and mathematical finance. As stated by Stroock and Yor: "Like Norbert Wiener, Paul Malliavin came to probability theory from harmonic analysis, and, like Wiener, his analytic origins were apparent in everything he did there." Malliavin introduced a differential operator on Wiener space, now called the Malliavin derivative, and derived an integration by parts formula for Wiener functionals. Using this integration by parts formula, Malliavin initiated a probabilistic approach to Hörmander's theorem for hypo-elliptic operators and gave a condition for the existence of smooth densities for Wiener functionals in terms of their Malliavin covariance matrix.

Selected publications La quasi-analyticité généralisée sur un intervalle borné, Annales scientifiques de l’École Normale Supérieure 3e série 72, 1955, pp. 93–110 Impossibilité de la synthèse spectrale sur les groupes abéliens non compacts, Publications Mathématiques de l’IHÉS 2, 1959, pp. 61–68 Calcul symbolique et sous-algèbres de L1(G), Bulletin de la Société Mathématique de France 87, 1959, pp. 181–186, suite, pp. 187–190 with Lee A. Rubel: On small entire functions of exponential type with given zeros, Bulletin de la Société Mathématique de France 89, 1961, pp. 175–206 Spectre des fonctions moyenne-périodiques. Totalité d’une suite d’exponentielles sur un segment, Séminaire Lelong. Analyse 3 Exposé No. 11, 1961 Un théorème taubérien relié aux estimations de valeurs propres, Séminaire Jean Leray, 1962–1963, pp. 224–231 Malliavin, Paul (1972). Géométrie différentielle intrinsèque. Paris: Hermann. ISBN 978-2-7056-5696-6. Géométrie riemannienne stochastique, Séminaire Jean Leray 2 Exposé No. 1, 1973–1974 Malliavin, Paul (1978). "Stochastic calculus of variations and hypoelliptic operators". Proceedings of the International Symposium on Stochastic Differential Equations (Res. Inst. Math. Sci., Kyoto Univ., Kyoto, 1976). New York: Wiley. pp. 195–263. MR 0536013 Geometrie differentielle stochastique, Presses de l’Universite de Montreal, 1978 with Hélène Airault, Leslie Kay, Gérard Letac: Integration and Probability, Springer, 1995 with H. Airault: Some heat operators on P(Rd), Annales mathématiques Blaise Pascal 3 no. 1, 1996, pp. 1–11 Stochastic Analysis, Springer, 1997 Malliavin, Paul; Thalmaier, Anton (2005). Stochastic Calculus of Variations in Mathematical Finance. Springer. ISBN 978-3-540-43431-3.

References

External links Paul Malliavin at the Mathematics Genealogy Project "Remembering Paul Malliavin" (PDF), Notices of the American Mathematical Society, 58 (4): 568–579, 2011

Illustrations

Paul Malliavin illustration

Worked examples

Example 1 — a first encounter with Paul Malliavin

Start with the simplest possible case. Write down what Paul Malliavin 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 Paul Malliavin 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 Paul Malliavin 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 Paul Malliavin

In research
Paul Malliavin 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 Paul Malliavin 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
Paul Malliavin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1925 births, 2010 deaths, 20th-century French mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Paul Malliavin 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 Paul Malliavin in 20 minutes

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

Frequently asked questions

What is Paul Malliavin in simple terms?

Paul Malliavin (French: [maljavɛ̃]; September 10, 1925 – June 3, 2010) was a French mathematician who made important contributions to harmonic analysis and stochastic analysis. He is known for the Malliavin calculus, an infinite-dimensional calculus for functionals on the Wiener space, and his prob…

Why does Paul Malliavin 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 Paul Malliavin?

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 Paul Malliavin.

Tags

  • 1925 births
  • 2010 deaths
  • 20th-century French mathematicians
  • 21st-century French mathematicians
  • French probability theorists
  • Malliavin calculus
  • Members of the French Academy of Sciences
  • Members of the Royal Swedish Academy of Sciences
  • University of Paris alumni

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