Abstract
We describe a family of models of random partial orders, called \emph{classical sequential growth models}, and study a specific case, which is the simplest interesting model, called a \emph{random binary growth model}. This model produces a random poset, called a \emph{random binary order}, $B_2$, on the vertex set $\mathbb{N}$ by considering each vertex $n \geq 2$ in turn and placing it above 2 vertices chosen uniformly at random from the set $\{0,\dotsc,n-1\}$ (with additional relations added to ensure transitivity). We show that $B_2$ has infinite dimension, almost surely. Using the differential equation method of Wormald, we can closely approximate the size of the up-set of an arbitrary vertex. We give an upper bound on the largest vertex incomparable with vertex $n$, which is polynomial in $n$, and using this bound we provide an example of a poset $P$, such that there is a positive probability that $B_2$ does not contain $P$.
Translated title of the contribution | The random binary growth model |
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Original language | English |
Pages (from-to) | 520 - 552 |
Number of pages | 33 |
Journal | Random Structures and Algorithms |
Volume | 27 (4) |
DOIs | |
Publication status | Published - Dec 2005 |
Bibliographical note
Publisher: John WileyOther identifier: IDS Number: 984EL