TY - JOUR
T1 - On Random Partitions Induced by Random Maps
AU - Krachun, D.
AU - Yakubovich, Yu
N1 - Funding Information:
supported by the NCCR SwissMAP of the Swiss National
Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - The partition lattice of the set [n] with respect to refinement is studied. Any map ϕ: [n] → [n], is associated with a partition of [n] by taking preimages of the elements. Assume that t partitions p1, p2,.. , pt are chosen independently according to the uniform measure on the set of mappings [n] → [n]. It is shown that the probability for the coarsest refinement of all the partitions pi to be the finest partition {{1},.. , {n}} tends to 1 for any t ≥ 3 and to e−1/2 for t = 2. It is also proved that the probability for the finest coarsening of the partitions pi to be the one-block partition tends to 1 as t(n) − log n→∞ and tends to 0 as t(n) − log n. The size of the maximal block of the finest coarsening of all the pi for a fixed t is also studied.
AB - The partition lattice of the set [n] with respect to refinement is studied. Any map ϕ: [n] → [n], is associated with a partition of [n] by taking preimages of the elements. Assume that t partitions p1, p2,.. , pt are chosen independently according to the uniform measure on the set of mappings [n] → [n]. It is shown that the probability for the coarsest refinement of all the partitions pi to be the finest partition {{1},.. , {n}} tends to 1 for any t ≥ 3 and to e−1/2 for t = 2. It is also proved that the probability for the finest coarsening of the partitions pi to be the one-block partition tends to 1 as t(n) − log n→∞ and tends to 0 as t(n) − log n. The size of the maximal block of the finest coarsening of all the pi for a fixed t is also studied.
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U2 - 10.1007/s10958-018-3712-5
DO - 10.1007/s10958-018-3712-5
M3 - Article
AN - SCOPUS:85042357942
SN - 1072-3374
VL - 229
SP - 727
EP - 740
JO - Journal of Mathematical Sciences (United States)
JF - Journal of Mathematical Sciences (United States)
IS - 6
ER -