Pna Probability, Networks and Algorithms Probability, Networks and Algorithms Self-destructive Percolation Self-destructive Percolation
Pna Probability, Networks and Algorithms Probability, Networks and Algorithms Self-destructive Percolation Self-destructive Percolation
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Pna 概率、网络和算法 概率、网络和算法 自毁渗透 自毁渗透
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通讯作者:
R. Brouwer
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作者:
J. Van Den Berg;R. Brouwer
CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below are the names of the clusters and in parentheses their acronyms. ABSTRACT Consider ordinary site percolation on an infinite graph in which the sites, independent of each other, are occupied with probability p and vacant with probability 1−p. Now suppose that, by some 'catastrophe', all sites which are in an infinite occupied cluster become vacant. Finally, each vacant site gets an extra enhancement to become occupied. More precisely, each site that was already vacant or that was made vacant by the catastrophe, becomes occupied with probability δ (independent of the other sites). When p is larger than but close to the critical value p c one might believe (for 'nice' graphs) that only a small δ is needed to have an infinite occupied cluster in the final configuration. This appears to be indeed the case for the binary tree. However, on the square lattice we strongly conjecture that this is not true. We discuss the background for these problems and also show that the conjecture, if true, has some remarkable consequences. Note: This report has been submitted for publication elsewere. This work has been done under project PNA 3.1.