| 书目名称 | Percolation Theory for Mathematicians | | 编辑 | Harry Kesten | | 视频video | | | 丛书名称 | Progress in Probability | | 图书封面 |  | | 描述 | Quite apart from the fact that percolation theory had its orlgln in an honest applied problem (see Hammersley and Welsh (1980)), it is a source of fascinating problems of the best kind a mathematician can wish for: problems which are easy to state with a minimum of preparation, but whose solutions are (apparently) difficult and require new methods. At the same time many of the problems are of interest to or proposed by statistical physicists and not dreamt up merely to demons~te ingenuity. Progress in the field has been slow. Relatively few results have been established rigorously, despite the rapidly growing literature with variations and extensions of the basic model, conjectures, plausibility arguments and results of simulations. It is my aim to treat here some basic results with rigorous proofs. This is in the first place a research monograph, but there are few prerequisites; one term of any standard graduate course in probability should be more than enough. Much of the material is quite recent or new, and many of the proofs are still clumsy. Especially the attempt to give proofs valid for as many graphs as possible led to more complications than expected. I hope that the Appli | | 出版日期 | Book 1982 | | 关键词 | Simula; Statistica; Variation; field; graphs; minimum; model; probability; proof; simulation; time | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4899-2730-9 | | isbn_softcover | 978-0-8176-3107-9 | | isbn_ebook | 978-1-4899-2730-9Series ISSN 1050-6977 Series E-ISSN 2297-0428 | | issn_series | 1050-6977 | | copyright | Springer Science+Business Media New York 1982 |
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发表于 2025-3-21 16:59:18
