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John Lott (mathematician)

John Lott (mathematician) 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 John Lott (mathematician) rather than just read about it. In short: John William Lott (born January 12, 1959) is a professor of Mathematics at the University of California, Berkeley. He is known for contributions to differential geometry.

John Lott (mathematician) — main illustration
John Lott (mathematician) — illustration

Key takeaways

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

Reference excerpt

John William Lott (born January 12, 1959) is a professor of Mathematics at the University of California, Berkeley. He is known for contributions to differential geometry.

Academic history Lott received his B.S. from the Massachusetts Institute of Technology in 1978 and M.A. degrees in mathematics and physics from University of California, Berkeley. In 1983, he received a Ph.D. in mathematics under the supervision of Isadore Singer. After postdoctoral positions at Harvard University and the Institut des Hautes Études Scientifiques, he joined the faculty at the University of Michigan. In 2009, he moved to University of California, Berkeley. Among his awards and honors:

Sloan Research Fellowship (1989-1991) Alexander von Humboldt Fellowship (1991-1992) U.S. National Academy of Sciences Award for Scientific Reviewing (with Bruce Kleiner)

Mathematical contributions A 1985 article of Dominique Bakry and Michel Émery introduced a generalized Ricci curvature, in which one adds to the usual Ricci curvature the hessian of a function. In 2003, Lott showed that much of the standard comparison geometry results for the Ricci tensor extend to the Bakry-Émery setting. For instance, if M is a closed and connected Riemannian manifold with positive Bakry-Émery Ricci tensor, then the fundamental group of M must be finite; if instead the Bakry-Émery Ricci tensor is negative, then the isometry group of the Riemannian manifold must be finite. The comparison geometry of the Bakry-Émery Ricci tensor was taken further in an influential article of Guofang Wei and William Wylie. Additionally, Lott showed that if a Riemannian manifold with smooth density arises as a collapsed limit of Riemannian manifolds with a uniform upper bound on diameter and sectional curvature and a uniform lower bound on Ricci curvature, then the lower bound on Ricci curvature is preserved in the limit as a lower bound on Bakry-Émery's Ricci curvature. In this sense, the Bakry-Émery Ricci tensor is shown to be natural in the context of Riemannian convergence theory. In 2002 and 2003, Grigori Perelman posted two papers to the arXiv which claimed to provide a proof for William Thurston's geometrization conjecture, using Richard Hamilton's theory of Ricci flow. Perelman's papers attracted immediate attention for their bold claims and the fact that some of their results were quickly verified. However, due to Perelman's abbreviated style of presentation of highly technical material, many mathematicians were unable to understand much of his work, especially in his second paper. Beginning in 2003, Lott and Bruce Kleiner posted a series of annotations of Perelman's work to their websites, which was finalized in a 2008 publication. Their article was most recently updated for corrections in 2013. In 2015, Kleiner and Lott were awarded the Award for Scientific Reviewing from the National Academy of Sciences of the United States for their work. Other well-known expositions of Perelman's work are due to Huai-Dong Cao and Xi-Ping Zhu, and to John Morgan and Gang Tian. In 2005, Max-K. von Renesse and Karl-Theodor Sturm showed that the lower bound of the Ricci curvature on a Riemannian manifold could be characterized by optimal transportation, in particular by the convexity of a certain "entropy" functional along geodesics of the associated Wasserstein metric space. In 2009, Lott and Cédric Villani capitalized upon this equivalence to define a notion of "lower bound for Ricci curvature" for a general class of metric spaces equipped with Borel measures. Similar work was done at the same time by Sturm, with the accumulated results typically referred to as "Lott-Sturm-Villani theory". The papers of Lott-Villani and Sturm have initiated a very large amount of research in the mathematical literature, much of which is centered around extending classical work on Riemannian geometry to the setting of metric measure spaces. An essentially analogous program for sectional curvature bounds (from either below or above) was initiated in the 1990s by an article of Yuri Burago, Mikhail Gromov, and Grigori Perelman, following foundations laid in the 1950s by Aleksandr Aleksandrov.

Major publications Lott, John (2003). "Some geometric properties of the Bakry–Émery–Ricci tensor". Commentarii Mathematici Helvetici. 78 (4): 865–883. doi:10.1007/s00014-003-0775-8. hdl:2027.42/41807. MR 2016700. Zbl 1038.53041. Kleiner, Bruce; Lott, John (2008). "Notes on Perelman's papers". Geometry & Topology. 12 (5). Updated for corrections in 2011 & 2013: 2587–2855. arXiv:math/0605667. doi:10.2140/gt.2008.12.2587. MR 2460872. Zbl 1204.53033. Lott, John; Villani, Cédric (2009). "Ricci curvature for metric-measure spaces via optimal transport". Annals of Mathematics. Second Series. 169 (3): 903–991. arXiv:math/0412127. doi:10.4007/annals.2009.169.903. MR 2480619. Zbl 1178.53038.

References

External links Media related to John Lott (mathematician) at Wikimedia Commons

http://math.berkeley.edu/~lott/ John W. Lott at the Mathematics Genealogy Project

Illustrations

John Lott (mathematician) illustration

Worked examples

Example 1 — a first encounter with John Lott (mathematician)

Start with the simplest possible case. Write down what John Lott (mathematician) 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 John Lott (mathematician) 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 John Lott (mathematician) 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 John Lott (mathematician)

In research
John Lott (mathematician) 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 John Lott (mathematician) 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
John Lott (mathematician) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1959 births, 20th-century American mathematicians, 21st-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for John Lott (mathematician) 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 John Lott (mathematician) in 20 minutes

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

Frequently asked questions

What is John Lott (mathematician) in simple terms?

John William Lott (born January 12, 1959) is a professor of Mathematics at the University of California, Berkeley. He is known for contributions to differential geometry.

Why does John Lott (mathematician) 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 John Lott (mathematician)?

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 John Lott (mathematician).

Tags

  • 1959 births
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • Differential geometers
  • Living people
  • Mathematicians from Missouri
  • People from Rolla, Missouri
  • UC Berkeley College of Letters and Science alumni
  • University of California, Berkeley College of Letters and Science faculty
  • University of Michigan faculty

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