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Random Structures and Algorithms
Article . 2004 . Peer-reviewed
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Article . 2004
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Article . 2004
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Self‐destructive percolation

Self-destructive percolation
Authors: J. van den Berg (Rob); R.M. Brouwer (Rachel);

Self‐destructive percolation

Abstract

AbstractConsider 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 pc 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. © 2004 Wiley Periodicals, Inc. Random Struct. Alg., 2004

Country
Netherlands
Keywords

site percolation, self-destructive percolation, Interacting random processes; statistical mechanics type models; percolation theory, self-organized criticality

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    16
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Average
bronze