Artículo
Linearizing well quasi-orders and bounding the length of bad sequences
Fecha de publicación:
10/2015
Editorial:
Elsevier Science
Revista:
Theoretical Computer Science
ISSN:
0304-3975
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
We study the length functions of controlled bad sequences over some well quasi-orders (wqo's) and classify them in the Fast Growing Hierarchy. We develop a new and self-contained study of the length of bad sequences over the disjoint product in Nn (Dickson's Lemma), which leads to recently discovered upper bounds but through a simpler argument. We also give a tight upper bound for the length of controlled decreasing sequences of multisets of Nn with the underlying lexicographic ordering, and use it to give an upper bound for the length of controlled bad sequences in the majoring ordering with the underlying disjoint product ordering. We apply this last result to attain complexity upper bounds for the emptiness problem of itca and atra automata. For the case of the product and majoring wqo's the idea is to linearize bad sequences, i.e. to transform a bad sequence over a wqo into a decreasing one over a well-order, for which upper bounds can be more easily handled.
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(OCA CIUDAD UNIVERSITARIA)
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Citación
Abriola, Sergio Alejandro; Figueira, Santiago; Senno, Gabriel Ignacio; Linearizing well quasi-orders and bounding the length of bad sequences; Elsevier Science; Theoretical Computer Science; 603; 10-2015; 3-22
Compartir
Altmétricas
Items relacionados
Mostrando titulos relacionados por título, autor y tema.
-
Lopez Berrizbeitia, Maria Fernanda ; Sánchez, Rocío Tatiana ; Barquez, Ruben Marcos ; Díaz, María Mónica (Pensoft Publishers, 2017-06)
-
Gomez Lende, Sebastian (Universidade Federal de Pernambuco. Departamento de Ciências Geográficas, 2014-12)
-
Amore, Paolo; Fernández, Francisco Marcelo ; Boyd, John. P.; Boris, Rösler (Academic Press Inc Elsevier Science, 2016-05)