Long Paths and Cycles in the Dynamical Graphs
Tatyana S. Turova
Centre for Mathematical Sciences
Mathematical Statistics
Lund Institute of Technology,
Lund University,
2001
ISSN 1403-9338
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Abstract:
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We study a large-time dynamics of a Markov process whose states are finite
directed multi-graphs.
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The number of the vertices is described by a supercritical branching process,
and the edges follow a certain
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mean-field dynamics determined by the rates of appending and deleting. We
find sufficient conditions
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under which asymptotically a.s. the order of the largest component is
proportional to the order of the
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graph. A lower bound for the length of the longest directed path in the graph
is provided as well.
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We derive an explicit formula for the limit as time goes to infinity, of
the expected number of cycles of
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a given finite length. Finally, we discuss a phase diagram.
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