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On the Power of Vector Linear Network Coding

Authors: Niladri Das; Brijesh Kumar Rai;

On the Power of Vector Linear Network Coding

Abstract

This paper presents yet another instance of the power of vector linear network coding over scalar linear network coding. Previous works have established that the size of the finite field required to achieve a vector linear solution may be smaller than that size of the finite field required to achieve a scalar linear solution. It has been also shown there exist networks which do not have a scalar linear solution but have a vector linear solution. In this paper we show that the set of characteristics over which a network has a vector linear solution may be larger than the set of characteristics over which it has a scalar linear solution. We prove this result by showing a network which has a scalar linear solution if and only if the characteristic of the finite field is 2, but has a 2-dimensional vector linear solution over every finite fields.

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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!
1
Average
Average
Average
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