دورية أكاديمية

The Total Acquisition Number of the Randomly Weighted Path

التفاصيل البيبلوغرافية
العنوان: The Total Acquisition Number of the Randomly Weighted Path
المؤلفون: Godbole, Anant, Kelley, Elizabeth, Kurtz, Emily, Pralat, Pawel, Zhang, Yiguang
المصدر: ETSU Faculty Works
بيانات النشر: Digital Commons @ East Tennessee State University
سنة النشر: 2017
المجموعة: Digital Commons @ East Tennessee State University
مصطلحات موضوعية: depoissonization, Maxwell-Boltzman and Bose-Einstein allocation, poissonization, total acquisition number, Mathematics and Statistics
الوصف: 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.
نوع الوثيقة: text
اللغة: unknown
العلاقة: https://dc.etsu.edu/etsu-works/10740Test; https://doi.org/10.7151/dmgt.1972Test
DOI: 10.7151/dmgt.1972
الإتاحة: https://doi.org/10.7151/dmgt.1972Test
https://dc.etsu.edu/etsu-works/10740Test
رقم الانضمام: edsbas.39B85CDC
قاعدة البيانات: BASE