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Stanislav Molchanov

Stanislav Molchanov 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 Stanislav Molchanov rather than just read about it. In short: Stanislav Alexeyevich Molchanov (Russian: Станислав Алексеевич Молчанов) is a Soviet and American mathematician. From 1958 to 1963 he was a student at the Mathematical and Mechanical faculty, Moscow State University (MSU), where he graduated in 1963 with a master's thesis On one problem from the diffusion process theory supervised by Eugene Dynkin.

Stanislav Molchanov — main illustration
Stanislav Molchanov — illustration

Key takeaways

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

Reference excerpt

Stanislav Alexeyevich Molchanov (Russian: Станислав Алексеевич Молчанов) is a Soviet and American mathematician. From 1958 to 1963 he was a student at the Mathematical and Mechanical faculty, Moscow State University (MSU), where he graduated in 1963 with a master's thesis On one problem from the diffusion process theory supervised by Eugene Dynkin. At MSU Molchanov graduated in 1967 with Russian Candidate degree (Ph.D.) with thesis Some problems in the Martin boundary theory and in 1983 with Russian Doctor of Sciences degree (higher doctoral degree) with thesis Spectral theory of random operators. At MSU he was from 1966 to 1971 an assistant professor, from 1971 to 1988 an associate professor, and from 1988 to 1990 a full professor in the department of probability theory and mathematical statistics. He was a visiting professor from 1991 to 1992 at the University of California, Irvine and from 1992 to 1993 at the University of Southern California. In 1994 Molchanov became a full professor at the University of North Carolina at Charlotte. He has been a visiting professor at the International School for Probability Theory in St. Flour, the Ruhr-Universität Bochum, the ETH Zurich, the EPFL Lausanne, the TU Berlin, Paris (University Paris IV and VI), Ottawa, Rome, Santiago de Chile, Cambridge's Isaac Newton Institute, and Bielefeld. His research deals with geometrical approaches to Markov processes (Martin boundaries and diffusion on Riemannian manifolds) and with spectral theory (localization in random media and spectral properties of Riemannian manifolds). His research on applied mathematics includes physical processes and fields in disordered structures involving averaging and intermittency with applications to geophysics, astrophysics, oceanography. With regard to physical processes, he has done research on wave processes in periodic and random media, quantum graphs, and applications to optics. With Ilya Goldsheid and Leonid Pastur he proved in 1977 localization in the Anderson model in one dimension. With Michael Aizenman, Molchanov proved in 1993 localization for large coupling constants and energies near the edge of the spectrum. In 1990 he was an invited speaker at the International Congress of Mathematicians in Kyoto. In 2012 he became a Fellow of the American Mathematical Society.

Selected publications Diffusion processes and Riemannian Geometry, Uspekhi Math. Nauka, vol. 30, 1975, pp. 3–59. Ideas in the theory of random media, Acta Appl. Math, Vol. 12, 1991, pp. 139–282. doi:10.1007/BF00580850 with Ya. Zeldovich, A. Ruzmaikin, D. Sokolov: Intermittency, diffusion and generation in a non-stationary random medium, Sov. Sci. Rev., Sec. C, Vol. 7, 1988, pp. 1–110. with D. Bakry, R. Gill: Lectures on Probability Theory, 1992 Summer School in Probability, Sant-Flour, France, Springer Lecture notes in Mathematics 1581, 1994 with René A. Carmona: Parabolic Anderson model and intermittency, Memoirs of American Math Soc. Vol. 108, No. 518, 1994 Topics in statistical oceanography, in: Stochastic Modeling in Physical Oceanography, Birkhäuser 1996, pp. 343–380. doi:10.1007/978-1-4612-2430-3_13 as editor with W. Woyczynski: Stochastic Models in Geosystems, The IMA Volumes in Mathematics and Its Applications, Vol. 85, 1997; 2012 pbk reprint Multiscale averaging for ordinary differential equations, in: Homogenization, World Scientific 1999, pp. 316–397 doi:10.1142/9789812812919_0012 Fluctuations in Chemical Kinetics, Lecture notes, EPFL, 2001 with G. Ben Arous, L. Bogachev: Limit theorems for sums of random exponentials, in: Probability theory and related fields, Vol. 132, 2005, pp. 579–612. doi:10.1007/s00440-004-0406-3 with G. Ben Arous, A. Ramirez: Transition from the annealed to the quenched asymptotics for a random walk on random obstacles, Annals of Probability, Vol. 33 (2005), pp. 2149–2187 doi:10.1214/009117905000000404 with J. Gärtner: Parabolic problems for the Anderson model. I. Intermittency and related topics. Commun. Math. Phys., Vol. 132, 1990, pp. 613–655. doi:10.1007/BF02156540 with J. Gärtner, W. König: Geometric characterization of intermittency in the parabolic Anderson model, Annals of Probability, Vol. 35, 2007, pp. 439–499 doi:10.1214/009117906000000764 with B. Vainberg: Transition from a network of thin fibers to the quantum graph: an explicitly solvable model, Contemp. Math, Vol. 415, 2006, AMS, pp. 227–239 with B. Vainberg: Scattering solutions in networks of thin fibers: small diameter asymptotics, Comm. Math. Phys., Vol. 273, 2007, pp. 533–559. doi:10.1007/s00220-007-0220-8 with Frank den Hollander, O. Zeitouni: Random media at Saint Flour, Springer, 2012 with L. Pastur, E. Ray: Examples of Random Schroedinger-type operators with non-Poissonian spectra", Proc. of the conference "Mathematical Physics of Disordered Systems" in honor of Leonid Pastur, 2013 with L. Koralov, B. Vainberg: On mathematical foundation of the Brownian motor theory, Journal of Functional analysis, Vol. 267, 2014, pp. 1725–1750. doi:10.1016/j.jfa.2014.06.009 arXiv preprint with Ya. Zeldovich, A. Ruzmaikin, D. Sokoloff: Intermittency, Diffusion and Generation in a Nonstationary Random Medium, Cambridge Scientific Publishers, Reviews in Mathematics and Mathematical Physics, Vol.15, part I, 2015

References

External links Stanislav Molchanov at the Mathematics Genealogy Project "Mochanov's Selected publications". UNC Charlotte. "Interview with Stanislav Molchanov, English highlights" (PDF). Eugene B. Dynkin Collection of Mathematics Interviews, Cornell University Library. mathnet.ru

Illustrations

Stanislav Molchanov illustration

Worked examples

Example 1 — a first encounter with Stanislav Molchanov

Start with the simplest possible case. Write down what Stanislav Molchanov 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 Stanislav Molchanov 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 Stanislav Molchanov 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 Stanislav Molchanov

In research
Stanislav Molchanov 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 Stanislav Molchanov 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
Stanislav Molchanov is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1940 births, 20th-century American mathematicians, 20th-century Russian mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Stanislav Molchanov 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 Stanislav Molchanov in 20 minutes

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

Frequently asked questions

What is Stanislav Molchanov in simple terms?

Stanislav Alexeyevich Molchanov (Russian: Станислав Алексеевич Молчанов) is a Soviet and American mathematician. From 1958 to 1963 he was a student at the Mathematical and Mechanical faculty, Moscow State University (MSU), where he graduated in 1963 with a master's thesis On one problem from the di…

Why does Stanislav Molchanov 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 Stanislav Molchanov?

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 Stanislav Molchanov.

Tags

  • 1940 births
  • 20th-century American mathematicians
  • 20th-century Russian mathematicians
  • 21st-century American mathematicians
  • 21st-century Russian mathematicians
  • Academic staff of Moscow State University
  • Fellows of the American Mathematical Society
  • Living people
  • Moscow State University alumni
  • Probability theorists
  • Soviet emigrants to the United States
  • University of North Carolina at Charlotte faculty

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