Kinetics of Aggregation with Choice
Here we generalize the ordinary aggregation process to allow for choice. In ordinary aggregation, two random clusters merge and form a larger aggregate. In our implementation of choice, a target cluster and two candidate clusters are randomly selected and the target cluster merges with the larger of the two candidate clusters.We study the long-time asymptotic behavior and find that as in ordinary aggregation, the size density adheres to the standard scaling form. However, aggregation with choice exhibits a number of different features. First, the density of the smallest clusters exhibits anomalous scaling. Second, both the small-size and the large-size tails of the density are overpopulated, at the expense of the density of moderate-size clusters. Finally, we also study the complementary case where the smaller candidate cluster participates in the aggregation process and find an abundance of moderate clusters at the expense of small and large clusters. Additionally, we investigate aggregation processes with choice among multiple candidate clusters and a symmetric implementation where the choice is between two pairs of clusters.
- Authors:
-
[1]
; [2]
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Division and Center for Nonlinear Studies
- Boston Univ., MA (United States). Dept. of Physics
- Publication Date:
- Report Number(s):
- LA-UR-16-27687
Journal ID: ISSN 2470-0045
- Grant/Contract Number:
- AC52-06NA25396
- Type:
- Accepted Manuscript
- Journal Name:
- Physical Review E
- Additional Journal Information:
- Journal Volume: 94; Journal Issue: 6; Journal ID: ISSN 2470-0045
- Publisher:
- American Physical Society (APS)
- Research Org:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Mathematics
- OSTI Identifier:
- 1337116
- Alternate Identifier(s):
- OSTI ID: 1335729
Ben-Naim, Eli, and Krapivsky, Paul. Kinetics of Aggregation with Choice. United States: N. p.,
Web. doi:10.1103/PhysRevE.94.062119.
Ben-Naim, Eli, & Krapivsky, Paul. Kinetics of Aggregation with Choice. United States. doi:10.1103/PhysRevE.94.062119.
Ben-Naim, Eli, and Krapivsky, Paul. 2016.
"Kinetics of Aggregation with Choice". United States.
doi:10.1103/PhysRevE.94.062119. https://www.osti.gov/servlets/purl/1337116.
@article{osti_1337116,
title = {Kinetics of Aggregation with Choice},
author = {Ben-Naim, Eli and Krapivsky, Paul},
abstractNote = {Here we generalize the ordinary aggregation process to allow for choice. In ordinary aggregation, two random clusters merge and form a larger aggregate. In our implementation of choice, a target cluster and two candidate clusters are randomly selected and the target cluster merges with the larger of the two candidate clusters.We study the long-time asymptotic behavior and find that as in ordinary aggregation, the size density adheres to the standard scaling form. However, aggregation with choice exhibits a number of different features. First, the density of the smallest clusters exhibits anomalous scaling. Second, both the small-size and the large-size tails of the density are overpopulated, at the expense of the density of moderate-size clusters. Finally, we also study the complementary case where the smaller candidate cluster participates in the aggregation process and find an abundance of moderate clusters at the expense of small and large clusters. Additionally, we investigate aggregation processes with choice among multiple candidate clusters and a symmetric implementation where the choice is between two pairs of clusters.},
doi = {10.1103/PhysRevE.94.062119},
journal = {Physical Review E},
number = 6,
volume = 94,
place = {United States},
year = {2016},
month = {12}
}
- Free Publicly Accessible Full Text
- Accepted Manuscript (Publisher)
-
Accepted Manuscript (DOE)
- Publisher's Version of Record
- https://doi.org/10.1103/PhysRevE.94.062119