Balancing sums of random vectors
Discrete analysis (2018)
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We study a higher-dimensional 'balls-into-bins' problem. An infinite sequence of i.i.d. random vectors is revealed to us one vector at a time, and we are required to partition these vectors into a fixed number of bins in such a way as to keep the sums of the vectors in the different bins close together; how close can we keep these sums almost surely? This question, our primary focus in this paper, is closely related to the classical problem of partitioning a sequence of vectors into balanced subsequences, in addition to having applications to some problems in computer science.
@article{DAS_2018_a18,
author = {Juhan Aru and Bhargav Narayanan and Alex Scott and Ramarathnam Venkatesan},
title = {Balancing sums of random vectors},
journal = {Discrete analysis},
year = {2018},
language = {en},
url = {http://geodesic.mathdoc.fr/item/DAS_2018_a18/}
}
Juhan Aru; Bhargav Narayanan; Alex Scott; Ramarathnam Venkatesan. Balancing sums of random vectors. Discrete analysis (2018). http://geodesic.mathdoc.fr/item/DAS_2018_a18/