Scott Sheffield | |
---|---|
Born | October 20, 1973 |
Nationality | American |
Alma mater | Stanford University |
Children | 4 |
Awards | Loève Prize (2011) Rollo Davidson Prize (2006) Clay Research Award (2017) Henri Poincaré Prize (2024) |
Scientific career | |
Fields | Mathematician |
Institutions | MIT |
Thesis | Random surfaces: large deviations and gradient Gibbs measure classifications (2003) |
Doctoral advisor | Amir Dembo |
Doctoral students | Ewain Gwynne, Nina Holden, Xin Sun |
Website | math |
Scott Sheffield (born October 20, 1973) is a professor of mathematics at the Massachusetts Institute of Technology. [1] His primary research field is theoretical probability.
Much of Sheffield's work examines conformal invariant objects which arise in the study of two-dimensional statistical physics models. He studies the Schramm–Loewner evolution SLE(κ) and its relations to a variety of other random objects. For example, he proved that SLE describes the interface between two Liouville quantum gravity surfaces that have been conformally welded together. [2] In joint work with Oded Schramm, he showed that contour lines of the Gaussian free field are related to SLE(4). [3] [4] With Jason Miller, he developed the theory of Gaussian free field flow lines, which include SLE(κ) for all values of κ, as well as many variants of SLE. [5]
Sheffield and Bertrand Duplantier proved the Knizhnik–Polyakov–Zamolodchikov (KPZ) relation for fractal scaling dimensions in Liouville quantum gravity. [6] Sheffield also defined the conformal loop ensembles, which serve as scaling limits of the collection of all interfaces in various statistical physics models. [7] In joint work with Wendelin Werner, he described the conformal loop ensembles as the outer boundaries of clusters of Brownian loops. [8]
In addition to these contributions, Sheffield has also proved results regarding internal diffusion-limited aggregation, dimers, game theory, partial differential equations, and Lipschitz extension theory. [9]
Since 2011, Sheffield has taught 18.600 (formerly 18.440), the introductory probability course at MIT. [10]
Sheffield was a visiting professor at the Institute for Advanced Study for the 2022 to 2023 academic year. [11]
Sheffield graduated from Harvard University in 1998 with an A.B. and A.M. in mathematics. In 2003, he received his Ph.D. in mathematics from Stanford University. Before becoming a professor at MIT, Sheffield held postdoctoral positions at Microsoft Research, the University of California at Berkeley, and the Institute for Advanced Study. He was also an associate professor at New York University. [12]
Scott Sheffield received the Loève Prize, the Presidential Early Career Award for Scientists and Engineers, the Sloan Research Fellowship, and the Rollo Davidson Prize. He was also an invited speaker at the 2010 meeting of the International Congress of Mathematicians and a plenary speaker in 2022. In 2017 he received the Clay Research Award jointly with Jason Miller. [13] He was elected to the American Academy of Arts and Sciences in 2021. [14] In 2023 he received the Leonard Eisenbud Prize for Mathematics and Physics of the AMS jointly with Jason Miller. In 2024, he received the Henri Poincaré Prize from the International Association of Mathematical Physics. [15]
Loop quantum gravity (LQG) is a theory of quantum gravity that incorporates matter of the Standard Model into the framework established for the intrinsic quantum gravity case. It is an attempt to develop a quantum theory of gravity based directly on Albert Einstein's geometric formulation rather than the treatment of gravity as a mysterious mechanism (force). As a theory, LQG postulates that the structure of space and time is composed of finite loops woven into an extremely fine fabric or network. These networks of loops are called spin networks. The evolution of a spin network, or spin foam, has a scale on the order of a Planck length, approximately 10−35 meters, and smaller scales are meaningless. Consequently, not just matter, but space itself, prefers an atomic structure.
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In probability theory, the Schramm–Loewner evolution with parameter κ, also known as stochastic Loewner evolution (SLEκ), is a family of random planar curves that have been proven to be the scaling limit of a variety of two-dimensional lattice models in statistical mechanics. Given a parameter κ and a domain in the complex plane U, it gives a family of random curves in U, with κ controlling how much the curve turns. There are two main variants of SLE, chordal SLE which gives a family of random curves from two fixed boundary points, and radial SLE, which gives a family of random curves from a fixed boundary point to a fixed interior point. These curves are defined to satisfy conformal invariance and a domain Markov property.
In probability theory and statistical mechanics, the Gaussian free field (GFF) is a Gaussian random field, a central model of random surfaces.
Oded Schramm was an Israeli-American mathematician known for the invention of the Schramm–Loewner evolution (SLE) and for working at the intersection of conformal field theory and probability theory.
Gregory Francis Lawler is an American mathematician working in probability theory and best known for his work since 2000 on the Schramm–Loewner evolution.
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In physics, Liouville field theory is a two-dimensional conformal field theory whose classical equation of motion is a generalization of Liouville's equation.
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Nina Holden is a Norwegian mathematician interested in probability theory and stochastic processes, including graphons, random planar maps, the Schramm–Loewner evolution, and their applications to quantum gravity. She is a Junior Fellow at the Institute for Theoretical Studies at ETH Zurich, and has accepted a position as an associate professor at the Courant Institute of Mathematical Sciences of New York University beginning in 2021.
Jason Peter Miller is an American mathematician, specializing in probability theory.
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