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Mark Freidlin

Mark Freidlin 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 Mark Freidlin rather than just read about it. In short: Mark Iosifovich Freidlin (Russian: Марк Иосифович Фрейдлин, born 1938) is a Russian-American probability theorist who works as a Distinguished University Professor of Mathematics at the University of Maryland, College Park. He is one of the namesakes of the Freidlin–Wentzell theory, which is an important part of the large deviations theory.

Key takeaways

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

Reference excerpt

Mark Iosifovich Freidlin (Russian: Марк Иосифович Фрейдлин, born 1938) is a Russian-American probability theorist who works as a Distinguished University Professor of Mathematics at the University of Maryland, College Park. He is one of the namesakes of the Freidlin–Wentzell theory, which is an important part of the large deviations theory. Freidlin and Wentzell are the authors of the first monograph on the large deviations theory for stochastic processes (1979). The Freidlin-Wentzell theory describes, in particular, the long-time effects caused by random perturbations. The latest edition of the book was published by Springer in 2012. It contains not just the results on large deviations but also new results on other asymptotic problems, in particular, on the averaging principle for stochastic perturbations. Other works of Mark Freidlin concern perturbations of Hamiltonian systems, wave front propagation in reaction-diffusion equations, non-linear perturbations of partial differential equations. stochasticity in deterministic dynamical systems. Freidlin was born in 1938 in Moscow. He began studying mathematics at Moscow State University at the age of 16, and earned a candidate's degree there in 1962, under the supervision of Eugene Dynkin. In 1970 he completed a doctorate. However, growing anti-semitism in the Soviet Union prevented Friedlin from traveling and forced him to transfer from the Mechanics and Mathematics Department at Moscow State to the Bio-Physics Department (with the assistance of Andrey Kolmogorov in finding him this position). By 1979 he had decided to emigrate to the US, but was denied permission to leave Russia; despite having no permanent employment for the next eight years, he continued to work and publish in mathematics. Finally, in 1987, he was able to move to the University of Maryland. Freidlin was an invited speaker at the 1998 International Congress of Mathematicians. He became a distinguished professor at Maryland in 2000. In May 2003, a conference on "Asymptotic Problems in Stochastic Processes and PDE's" was held at the University of Maryland in honor of Freidlin's 65th birthday. In 2012, he became one of the inaugural fellows of the American Mathematical Society. His doctoral students include Jürgen Gärtner.

Selected publications Functional Integration and Partial Differential Equations. Princeton University Press. 21 August 1985. ISBN 0-691-08362-2. Markov Processes and Differential Equations: Asymptotic Problems. Springer Science & Business Media. 28 March 1996. ISBN 978-3-7643-5392-6. with Alexander D. Wentzell: Random perturbations and dynamical systems. Grundlehren der mathematischen Wissenschaften. Vol. 260 (2nd ed.). Springer. 1998. ISBN 9780387983622; translated by Joseph Szücs; 1st edition 1984{{cite book}}: CS1 maint: postscript (link); 3rd edition 2012 with M. Weber: Random perturbations of nonlinear oscillators, Ann. Probability 26 (1998), no. 3, pp. 925–967. with M. Weber: Random perturbations of dynamical systems and diffusion processes with conservation laws, Probability Theory Related Fields 128 (2004), pp. 441–466. with A.D. Wentzell: On the Neumann problem for PDEs with a small parameter and corresponding diffusion processes, Probab. Theory Relat. Fields 152 (2012), no. 1-2, pp. 101–140. with A.D. Wentzell: Diffusion approximation for noise-induced evolution of first integrals in multi-frequency systems, Journal of Statistical Physics, 182, Article number: 45 (2021). with L. Koralov: Nonlinear stochastic perturbations of dynamical systems and quasi-linear parabolic PDE's with a small parameter, Probability Theory and Related Fields 147 (2010), pp. 273–301. with W. Hu: On perturbations of generalized Landau-Lifshitz dynamics, Journ. Stat. Phys. 144 (2011), no. 5, pp. 978–1008. Reaction-diffusion equations in incompressible fluid: asymptotic problems. Journal of Differential Equations, 179, pp 44–96 (2002). Large Deviations at Saint-Flour, Springer (2013).

References

Worked examples

Example 1 — a first encounter with Mark Freidlin

Start with the simplest possible case. Write down what Mark Freidlin 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 Mark Freidlin 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 Mark Freidlin 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 Mark Freidlin

In research
Mark Freidlin 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 Mark Freidlin 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
Mark Freidlin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1938 births, 20th-century American mathematicians, 21st-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Mark Freidlin 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 Mark Freidlin in 20 minutes

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

Frequently asked questions

What is Mark Freidlin in simple terms?

Mark Iosifovich Freidlin (Russian: Марк Иосифович Фрейдлин, born 1938) is a Russian-American probability theorist who works as a Distinguished University Professor of Mathematics at the University of Maryland, College Park. He is one of the namesakes of the Freidlin–Wentzell theory, which is an imp…

Why does Mark Freidlin 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 Mark Freidlin?

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 Mark Freidlin.

Tags

  • 1938 births
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • Fellows of the American Mathematical Society
  • Living people
  • Moscow State University alumni
  • Probability theorists
  • Russian mathematicians
  • University of Maryland, College Park faculty

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