1006832.pdf

This open access book focuses on the interplay between random walks on planar maps and Koebe’s circle packing theorem. Further topics covered include electric networks, the He–Schramm theorem on infinite circle packings, uniform spanning trees of planar maps, local limits of finite planar maps and t...

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Γλώσσα:English
Έκδοση: Springer Nature 2020
Διαθέσιμο Online:https://www.springer.com/9783030279684
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spelling oapen-20.500.12657-233232024-03-22T19:23:42Z Planar Maps, Random Walks and Circle Packing Nachmias, Asaf Mathematics Probabilities Discrete mathematics Geometry Mathematical physics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBD Discrete mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBM Geometry thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics This open access book focuses on the interplay between random walks on planar maps and Koebe’s circle packing theorem. Further topics covered include electric networks, the He–Schramm theorem on infinite circle packings, uniform spanning trees of planar maps, local limits of finite planar maps and the almost sure recurrence of simple random walks on these limits. One of its main goals is to present a self-contained proof that the uniform infinite planar triangulation (UIPT) is almost surely recurrent. Full proofs of all statements are provided. A planar map is a graph that can be drawn in the plane without crossing edges, together with a specification of the cyclic ordering of the edges incident to each vertex. One widely applicable method of drawing planar graphs is given by Koebe’s circle packing theorem (1936). Various geometric properties of these drawings, such as existence of accumulation points and bounds on the radii, encode important probabilistic information, such as the recurrence/transience of simple random walks and connectivity of the uniform spanning forest. This deep connection is especially fruitful to the study of random planar maps. The book is aimed at researchers and graduate students in mathematics and is suitable for a single-semester course; only a basic knowledge of graduate level probability theory is assumed. 2020-03-18 13:36:15 2020-04-01T09:11:36Z 2020-04-01T09:11:36Z 2020 book 1006832 http://library.oapen.org/handle/20.500.12657/23323 eng Lecture Notes in Mathematics application/pdf n/a 1006832.pdf https://www.springer.com/9783030279684 Springer Nature 10.1007/978-3-030-27968-4 10.1007/978-3-030-27968-4 6c6992af-b843-4f46-859c-f6e9998e40d5 178e65b9-dd53-4922-b85c-0aaa74fce079 European Research Council (ERC) 120 676970 H2020 European Research Council H2020 Excellent Science - European Research Council open access
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language English
description This open access book focuses on the interplay between random walks on planar maps and Koebe’s circle packing theorem. Further topics covered include electric networks, the He–Schramm theorem on infinite circle packings, uniform spanning trees of planar maps, local limits of finite planar maps and the almost sure recurrence of simple random walks on these limits. One of its main goals is to present a self-contained proof that the uniform infinite planar triangulation (UIPT) is almost surely recurrent. Full proofs of all statements are provided. A planar map is a graph that can be drawn in the plane without crossing edges, together with a specification of the cyclic ordering of the edges incident to each vertex. One widely applicable method of drawing planar graphs is given by Koebe’s circle packing theorem (1936). Various geometric properties of these drawings, such as existence of accumulation points and bounds on the radii, encode important probabilistic information, such as the recurrence/transience of simple random walks and connectivity of the uniform spanning forest. This deep connection is especially fruitful to the study of random planar maps. The book is aimed at researchers and graduate students in mathematics and is suitable for a single-semester course; only a basic knowledge of graduate level probability theory is assumed.
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publisher Springer Nature
publishDate 2020
url https://www.springer.com/9783030279684
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