The Total Acquisition Number Of The Randomly Weighted Path
There exists a significant body of work on determining the acquisition number at(G) of various graphs when the vertices of those graphs are each initially assigned a unit weight. We determine properties of the acquisition number of the path, star, complete, complete bipartite, cycle, and wheel graph...
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Online Access: | https://doi.org/10.7151/dmgt.1972 |
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doaj-18c5eb2b65144f5eb8a570c8a0f90bf12021-09-05T17:20:22ZengSciendoDiscussiones Mathematicae Graph Theory2083-58922017-11-0137491993410.7151/dmgt.1972dmgt.1972The Total Acquisition Number Of The Randomly Weighted PathGodbole Anant0Kelley Elizabeth1Kurtz Emily2Prałat Paweł3Zhang Yiguang4Department of Mathematics and Statistics East Tennessee State University, USADepartment of Mathematics University of Minnesota, Minnesota, USADepartment of Mathematics Wellesley College, USADepartment of Mathematics Ryerson University, USADepartment of Applied Mathematics and Statistics The Johns Hopkins University, USAThere exists a significant body of work on determining the acquisition number at(G) of various graphs when the vertices of those graphs are each initially assigned a unit weight. We determine properties of the acquisition number of the path, star, complete, complete bipartite, cycle, and wheel graphs for variations on this initial weighting scheme, with the majority of our work focusing on the expected acquisition number of randomly weighted graphs. In particular, we bound the expected acquisition number E(at(Pn)) of the n-path when n distinguishable “units” of integral weight, or chips, are randomly distributed across its vertices between 0.242n and 0.375n. With computer support, we improve it by showing that E(at(Pn)) lies between 0.29523n and 0.29576n. We then use subadditivity to show that the limiting ratio lim E(at(Pn))/n exists, and simulations reveal more exactly what the limiting value equals. The Hoeffding-Azuma inequality is used to prove that the acquisition number is tightly concentrated around its expected value. Additionally, in a different context, we offer a non-optimal acquisition protocol algorithm for the randomly weighted path and exactly compute the expected size of the resultant residual set.https://doi.org/10.7151/dmgt.1972total acquisition numberpoissonizationdepoissonizationmaxwell-boltzman and bose-einstein allocation. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Godbole Anant Kelley Elizabeth Kurtz Emily Prałat Paweł Zhang Yiguang |
spellingShingle |
Godbole Anant Kelley Elizabeth Kurtz Emily Prałat Paweł Zhang Yiguang The Total Acquisition Number Of The Randomly Weighted Path Discussiones Mathematicae Graph Theory total acquisition number poissonization depoissonization maxwell-boltzman and bose-einstein allocation. |
author_facet |
Godbole Anant Kelley Elizabeth Kurtz Emily Prałat Paweł Zhang Yiguang |
author_sort |
Godbole Anant |
title |
The Total Acquisition Number Of The Randomly Weighted Path |
title_short |
The Total Acquisition Number Of The Randomly Weighted Path |
title_full |
The Total Acquisition Number Of The Randomly Weighted Path |
title_fullStr |
The Total Acquisition Number Of The Randomly Weighted Path |
title_full_unstemmed |
The Total Acquisition Number Of The Randomly Weighted Path |
title_sort |
total acquisition number of the randomly weighted path |
publisher |
Sciendo |
series |
Discussiones Mathematicae Graph Theory |
issn |
2083-5892 |
publishDate |
2017-11-01 |
description |
There exists a significant body of work on determining the acquisition number at(G) of various graphs when the vertices of those graphs are each initially assigned a unit weight. We determine properties of the acquisition number of the path, star, complete, complete bipartite, cycle, and wheel graphs for variations on this initial weighting scheme, with the majority of our work focusing on the expected acquisition number of randomly weighted graphs. In particular, we bound the expected acquisition number E(at(Pn)) of the n-path when n distinguishable “units” of integral weight, or chips, are randomly distributed across its vertices between 0.242n and 0.375n. With computer support, we improve it by showing that E(at(Pn)) lies between 0.29523n and 0.29576n. We then use subadditivity to show that the limiting ratio lim E(at(Pn))/n exists, and simulations reveal more exactly what the limiting value equals. The Hoeffding-Azuma inequality is used to prove that the acquisition number is tightly concentrated around its expected value. Additionally, in a different context, we offer a non-optimal acquisition protocol algorithm for the randomly weighted path and exactly compute the expected size of the resultant residual set. |
topic |
total acquisition number poissonization depoissonization maxwell-boltzman and bose-einstein allocation. |
url |
https://doi.org/10.7151/dmgt.1972 |
work_keys_str_mv |
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