RT Dissertation/Thesis
T1 Genetic algebras and associated evolution operators
A1 Pérez Rodríguez, Andrés
K1 evolution algebra
K1 gonosomal algebra
K1 subalgebra lattice
K1 Frattini theory
K1 deformation
AB The study of populations and the mechanisms that regulate them is essential for understanding ecosystems. In particular, analysing how a population evolves over time has long been regarded as a central mathematical challenge. Among the many existing mathematical frameworks for modelling population dynamics, this dissertation adopts an algebraic viewpoint, examining the role of certain nonassociative algebras, collectively known as genetic algebras, that provide a powerful tool for describing inheritance patterns in genetics. Although several classes of genetic algebras have been introduced in the literature, this thesis addresses two of them, each treated in a separate part: evolution algebras and gonosomal algebras.
YR 2026
FD 2026
LK https://hdl.handle.net/10347/47290
UL https://hdl.handle.net/10347/47290
LA eng
DS Minerva
RD 22 may 2026