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Random Growth Models

Michael Damron
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      The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics.This volume is based on lectures delivered at the 2017 AMS Short Course ``Random Growth Models'', held January 2-3, 2017 in Atlanta, GA.The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth.
      Format: Hardback CONTRIBUTORS: Michael Damron EAN: 9781470435530 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 254 cm
      PUBLISHED BY: American Mathematical Society DATE PUBLISHED: 2018-09-01 CITY: GENRE: MATHEMATICS / Probability & Statistics / General WIDTH: 178 cm SPINE:

      Book Themes:

      Probability and statistics, Mathematical physics

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      Michael Damron, Georgia Institute of Technology, Atlanta, GA.Firas Rassoul-Agha, University of Utah, Salt Lake City, UT.Timo Seppalainen, University of Wisconsin, Madison, WI.
      The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics.This volume is based on lectures delivered at the 2017 AMS Short Course ``Random Growth Models'', held January 2-3, 2017 in Atlanta, GA.The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth.
      Format: Hardback CONTRIBUTORS: Michael Damron EAN: 9781470435530 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 254 cm
      PUBLISHED BY: American Mathematical Society DATE PUBLISHED: 2018-09-01 CITY: GENRE: MATHEMATICS / Probability & Statistics / General WIDTH: 178 cm SPINE:

      Book Themes:

      Probability and statistics, Mathematical physics

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      Michael Damron, Georgia Institute of Technology, Atlanta, GA.Firas Rassoul-Agha, University of Utah, Salt Lake City, UT.Timo Seppalainen, University of Wisconsin, Madison, WI.

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