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Docta Complutense
Doctoral thesis . 2022
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Non-Linear Sets in Real Analysisand Algebraic Genericity

(Conjuntos no Lineales en Análisis Real y Genericidad Algebraica)
Authors: Martínez Gómez, María Elena;

Non-Linear Sets in Real Analysisand Algebraic Genericity

Abstract

The title of this dissertation encompasses the study of two disparate topics that have been worked on. All the results that have been obtained in this dissertation, as the fruit of three years of tedious work, are related to the following fields within Mathematical Analysis: • Algebraic genericity and lineability: This is the study of the algebraic structure within certain sets in a linear space or an algebra. In this sense, we study lineability and algebrability problems of sequences spaces and series. Just as, for the class of real singular functions on the unit interval. This topich as shown to be extremely fruitful in the last decade and this resulted in the American Mathematical Society introducing references 15A03 : Vector spaces, linear dependence, rank, lineability.46B87 : Lineability in functional analysis.in its latest Mathematical Subject Classification 2020...

Country
Spain
Related Organizations
Keywords

Álgebra, 1201 Álgebra, 512(043.2)

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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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