Construction of the log-convex minorant of a sequence {M_alpha}_alpha

[EN] We give a simple construction of the log-convex minorant of a sequence {M_alpha}_alpha and consequently extend to the d-dimensional case the well-known formula that relates a log-convex sequence {M_p} to its associated function omega(M), that is M_p=sup(t>0)t(p)exp(-omega(M)(t)). We show...

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Detalles Bibliográficos
Autores: Boiti, Chiara, Oliaro, Alessandro, Schindl, Gerhard, Jornet Casanova, David|||0000-0002-3531-6203
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/213363
Acceso en línea:https://riunet.upv.es/handle/10251/213363
Access Level:acceso abierto
Palabra clave:Log-convex sequences
Matrix weights
Regularization of sequences
Ultradifferentiable functions
MATEMATICA APLICADA
Descripción
Sumario:[EN] We give a simple construction of the log-convex minorant of a sequence {M_alpha}_alpha and consequently extend to the d-dimensional case the well-known formula that relates a log-convex sequence {M_p} to its associated function omega(M), that is M_p=sup(t>0)t(p)exp(-omega(M)(t)). We show that in the more dimensional anisotropic case the classical log-convex condition M-alpha(2)<= M alpha-ejM alpha+ej is not sufficient: convexity as a function of more variables is needed (not only coordinate-wise). We finally obtain some applications to the inclusion of spaces of rapidly decreasing ultradifferentiable functions in the matrix weighted setting.