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Jürgen Gärtner

Jürgen Gärtner 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 Jürgen Gärtner rather than just read about it. In short: Jürgen Gärtner (born 1950) is a German mathematician, specializing in probability theory and analysis. Biography Gärtner was born in 1950 in Reichenbach.

Jürgen Gärtner — main illustration
Jürgen Gärtner — illustration

Key takeaways

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  • Learn the definition first, then one example that makes the definition concrete.
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  • Reproduce the core statement of Jürgen Gärtner from memory before moving on to harder problems.

Reference excerpt

Jürgen Gärtner (born 1950) is a German mathematician, specializing in probability theory and analysis.

Biography Gärtner was born in 1950 in Reichenbach. He graduated in 1973 with Diplom from TU Dresden. He received in 1976 his Ph.D. from Lomonosov University under the supervision of Mark Freidlin. At the Weierstrass Institute, Gärtner was from 1976 to 1985 a research associate; he habilitated there in 1984 with Dissertation B: Zur Ausbreitung von Wellenfronten für Reaktions-Diffusions-Gleichungen (The propagation of wave fronts for reaction-diffusion equations). At the Weierstrass Institute he was from 1985 to 1995 the head of the probability group. He was a professor of the Academy of Sciences of the GDR from 1988 until its disbandment in late 1991. At TU Berlin he was from 1992 to 2011 a professor, retiring as professor emeritus in 2011. In 1977 he proved a general form of Cramér's Theorem in the theory of large deviations (LD); the theorem is known as the Gärtner-Ellis Large Deviations Principle (LDP). (Richard S. Ellis proved the theorem in 1984 with weaker premises.) In 1982 Gärtner wrote an important paper on the famous KPP equation (a semi-linear diffusion equation introduced in 1937). In 1987 Gärtner, with Donald A. Dawson, introduced the construction of a projective limit in the LDP. From 1987 to 1989 Gärtner and Dawson wrote a series of important papers on the McKean-Vlasov process. Their results were extended by other mathematicians in the 1990s to random mean-field interactions and to spin-glass mean-field interactions. In 1990 Gärtner and Molchanov wrote a seminal paper on intermittency in the parabolic Anderson model; the paper introduced a new approach to intermittency via the study of Lyapunov coefficients. Gärtner was a member from 1984 to 1992 of the editorial board of Probability Theory and Related Fields and from 1990 to 2000 of the editorial board of Mathematische Nachrichten. In 1992 Gärtner was an invited lecturer at the first European Congress of Mathematics in Paris. In 1994 he was an invited speaker with talk Parabolic Systems in Random Media and Aspects of Intermittency at the International Congress of Mathematicians in Zürich. A conference was held in honor of his 60th birthday.

Selected publications Gärtner, Jürgen (1977). "On Large Deviations from the Invariant Measure". Theory of Probability & Its Applications. 22: 24–39. doi:10.1137/1122003. Gärtner, Jürgen (1982). "Location of Wave Fronts for the Multi-Dimensional K-P-P Equation and Brownian First Exit Densities". Mathematische Nachrichten. 105 (1): 317–351. doi:10.1002/mana.19821050117. ISSN 0025-584X. Fleischmann, Klaus; Gärtner, Jürgen (1986). "Occupation Time Processes at a Critical Point". Mathematische Nachrichten. 125: 275–290. doi:10.1002/mana.19861250121. Gärtner, Jürgen (1987). "Convergence towards Burger's equation and propagation of chaos for weakly asymmetric exclusion processes". Stochastic Processes and Their Applications. 27: 233–260. doi:10.1016/0304-4149(87)90040-8. Dawsont, Donald A.; Gärtner, Jürgen (1987). "Large deviations from the mckean-vlasov limit for weakly interacting diffusions". Stochastics. 20 (4): 247–308. doi:10.1080/17442508708833446. S2CID 122536900. Dawson, D.A.; Gärtner, J. (1987). "Long-time fluctuations of weakly interacting diffusions". In Engelbert, H. J.; Schmidt, W. (eds.). Stochastic Differential Systems. Lecture Notes in Control and Information Systems, vol. 96. Vol. 96. Springer. pp. 3–10. doi:10.1007/BFb0038915. ISBN 3-540-18010-9. Dawson, D.A.; Gärtner, J. (1988). "Long-time behaviour of interacting diffusions". In J.R. Norris (ed.). Stochastic Calculus in Application: Symposium Proceedings (Cambridge UK, Spring 1987). Pitman Research Notes in Mathematics. Longman. pp. 29–54. Gärtner, Jürgen (1988). "On the Mc Kean-Vlasov Limit for Interacting Diffusions". Mathematische Nachrichten. 137: 197–248. doi:10.1002/mana.19881370116. Dawson, Donald Andrew; Gärtner, J. (1989). Large Deviations, Free Energy Functional and Quasi-Potential for a Mean Field Model of Interacting Diffusions. American Mathematical Soc. ISBN 9780821824610. Gärtner, J.; Molchanov, S. A. (1990). "Parabolic problems for the Anderson model". Communications in Mathematical Physics. 132 (3): 613–655. doi:10.1007/BF02156540. S2CID 120557758. Gärtner, J.; Den Hollander, F. (1999). "Correlation structure of intermittency in the parabolic Anderson model". Probability Theory and Related Fields. 114: 1–54. doi:10.1007/s004400050220. hdl:1887/63147. S2CID 56023530. Gärtner, Jürgen; König, Wolfgang (2000). "Moment Asymptotics for the Continuous Parabolic Anderson Model". The Annals of Applied Probability. 10 (1): 192–217. doi:10.1214/aoap/1019737669. JSTOR 2667192. Gärtner, J.; König, W.; Molchanov, S.A. (2000). "Almost sure asymptotics for the continuous parabolic Anderson model". Probability Theory and Related Fields. 118 (4): 547–573. doi:10.1007/PL00008754. S2CID 120936569. Gärtner, Jürgen; König, Wolfgang (2005). "The Parabolic Anderson Model". Interacting Stochastic Systems. pp. 153–179. doi:10.1007/3-540-27110-4_8. ISBN 3-540-23033-5. S2CID 17389137. Gärtner, J.; Den Hollander, F. (2006). "Intermittency in a catalytic random medium". The Annals of Probability. 34 (6): 2219–2287. arXiv:math/0406266. doi:10.1214/009117906000000467. Gärtner, Jürgen; König, Wolfgang; Molchanov, Stanislav (2007). "Geometric characterization of intermittency in the parabolic Anderson model". The Annals of Probability. 35 (2): 439–499. arXiv:math/0507585. doi:10.1214/009117906000000764.

See also Dawson–Gärtner theorem Mean-field particle methods

References

Illustrations

Jürgen Gärtner: From left: Charles Newman, Stanislav Molchanov, Jürgen Gärtner, Oberwolfach 2003
From left: Charles Newman, Stanislav Molchanov, Jürgen Gärtner, Oberwolfach 2003

Worked examples

Example 1 — a first encounter with Jürgen Gärtner

Start with the simplest possible case. Write down what Jürgen Gärtner 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 Jürgen Gärtner 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 Jürgen Gärtner 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 Jürgen Gärtner

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

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

Frequently asked questions

What is Jürgen Gärtner in simple terms?

Jürgen Gärtner (born 1950) is a German mathematician, specializing in probability theory and analysis. Biography Gärtner was born in 1950 in Reichenbach.

Why does Jürgen Gärtner 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 Jürgen Gärtner?

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 Jürgen Gärtner.

Tags

  • 1950 births
  • 20th-century German mathematicians
  • 21st-century German mathematicians
  • Academic staff of Technische Universität Berlin
  • Living people
  • Moscow State University alumni
  • Probability theorists
  • TU Dresden alumni

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