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Peeling Random Planar Maps : École d’Été de Probabilités de Saint-Flour XLIX – 2019 / by Nicolas Curien
(École d'Été de Probabilités de Saint-Flour ; 2335)
Edition | 1st ed. 2023. |
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Publisher | (Cham : Springer Nature Switzerland : Imprint: Springer) |
Year | 2023 |
Language | English |
Size | XVIII, 286 p. 120 illus., 98 illus. in color : online resource |
Authors | *Curien, Nicolas author SpringerLink (Online service) |
Subjects | LCSH:Probabilities LCSH:Graph theory LCSH:Geometry LCSH:Stochastic processes FREE:Graph Theory in Probability FREE:Geometry FREE:Probability Theory FREE:Stochastic Processes |
Notes | These Lecture Notes provide an introduction to the study of those discrete surfaces which are obtained by randomly gluing polygons along their sides in a plane. The focus is on the geometry of such random planar maps (diameter, volume growth, scaling and local limits...) as well as the behavior of statistical mechanics models on them (percolation, simple random walks, self-avoiding random walks...). A “Markovian” approach is adopted to explore these random discrete surfaces, which is then related to the analogous one-dimensional random walk processes. This technique, known as "peeling exploration" in the literature, can be seen as a generalization of the well-known coding processes for random trees (e.g. breadth first or depth first search). It is revealed that different types of Markovian explorations can yield different types of information about a surface. Based on an École d'Été de Probabilités de Saint-Flour course delivered by the author in 2019, the book is aimed at PhDstudents and researchers interested in graph theory, combinatorial probability and geometry. Featuring open problems and a wealth of interesting figures, it is the first book to be published on the theory of random planar maps HTTP:URL=https://doi.org/10.1007/978-3-031-36854-7 |
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E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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E-Book | オンライン | 電子ブック |
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Springer eBooks | 9783031368547 |
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電子リソース |
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EB00236237 |
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Material Type | E-Book |
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Classification | LCC:QA273.A1-274.9 LCC:QA166-166.247 DC23:519.2 DC23:511.5 |
ID | 4001086270 |
ISBN | 9783031368547 |