Random disease on the square grid
proceedings of the eighth international conference on Random structures and algorithms
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Bootstrap percolation in high dimensions
Combinatorics, Probability and Computing
Random Structures & Algorithms
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In H-bootstrap percolation, a set A@?V(H) of initially 'infected' vertices spreads by infecting vertices which are the only uninfected vertex in an edge of the hypergraph H. A particular case of this is the H-bootstrap process, in which H encodes copies of H in a graph G. We find the minimum size of a set A that leads to complete infection when G and H are powers of complete graphs and H encodes induced copies of H in G. The proof uses linear algebra, a technique that is new in bootstrap percolation, although standard in the study of weakly saturated graphs, which are equivalent to (edge) H-bootstrap percolation on a complete graph.