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AIMS Mathematics
Article . 2024 . Peer-reviewed
Data sources: Crossref
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AIMS Mathematics
Article . 2024
Data sources: DOAJ
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Generalized Lie $ n $-derivations on generalized matrix algebras

Authors: Shan Li; Kaijia Luo; Jiankui Li;

Generalized Lie $ n $-derivations on generalized matrix algebras

Abstract

<p>Let $ \mathcal{G} $ be a generalized matrix algebra. We show that under certain conditions, each generalized Lie $ n $-derivation associated with a linear map on $ \mathcal{G} $ is a sum of a generalized derivation and a central map vanishing on all $ (n-1) $-th commutators and is also a sum of a generalized inner derivation and a Lie $ n $-derivation. As an application, generalized Lie $ n $-derivations on von Neumann algebras are characterized.</p>

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Keywords

generalized lie $ n $-derivation, lie $ n $-derivation, QA1-939, generalized matrix algebra, Mathematics

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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
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