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https://dx.doi.org/10.48550/ar...
Article . 2025
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Preprint . 2025
Data sources: DBLP
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Fair distribution of bundles

Authors: Pablo Soberón;

Fair distribution of bundles

Abstract

In this paper, we study the problem of splitting fairly bundles of items. We show that given n n bundles with m m kinds of items in them, it is possible to distribute the value of each kind of item fairly among r r persons by breaking apart at most ( r − 1 ) m (r-1)m bundles. Moreover, we can guarantee that each participant will receive roughly n / r − m ( r − 1 ) / 2 n/r - m(r-1)/2 full bundles. The proof methods are topological and rely on the configuration space/test map scheme. We obtain optimal results when r r is a power of two.

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Keywords

Computer Science and Game Theory, FOS: Computer and information sciences, F.2.2; J.4, Combinatorics, FOS: Mathematics, 91B32, Combinatorics (math.CO), Computer Science and Game Theory (cs.GT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green