Proof mining in ${\mathbb R}$-trees and hyperbolic spaces

dc.creatorLeustean, Laurentiu
dc.date2008-01-11
dc.date.accessioned2026-07-07T08:53:47Z
dc.date.available2026-07-07T08:53:47Z
dc.descriptionThis paper is part of the general project of proof mining, developed by Kohlenbach. By "proof mining" we mean the logical analysis of mathematical proofs with the aim of extracting new numerically relevant information hidden in the proofs. We present logical metatheorems for classes of spaces from functional analysis and hyperbolic geometry, like Gromov hyperbolic spaces, ${\mathbb R}$-trees and uniformly convex hyperbolic spaces. Our theorems are adaptations to these structures of previous metatheorems of Gerhardy and Kohlenbach, and they guarantee a-priori, under very general logical conditions, the existence of uniform bounds. We give also an application in nonlinear functional analysis, more specifically in metric fixed-point theory. Thus, we show that the uniform bound on the rate of asymptotic regularity for the Krasnoselski-Mann iterations of nonexpansive mappings in uniformly convex hyperbolic spaces obtained in a previous paper is an instance of one of our metatheorems.
dc.descriptionin G. Mints and R. de Queiroz (Eds.): Proceedings of the 13th Workshop on Logic, Language, Information and Computation (WoLLIC 2006), Stanford University, CA, USA, 18-21 July 2006
dc.identifierhttps://arxiv.org/abs/0801.1731
dc.identifierhttp://arxiv.org/abs/0801.1731
dc.identifierElectronic Notes in Theoretical Computer Science, Vol. 165 (2006), 95-106
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145745
dc.subjectLogic
dc.subjectFunctional Analysis
dc.subject03F10, 47H09, 20F65, 05C05
dc.titleProof mining in ${\mathbb R}$-trees and hyperbolic spaces
dc.typetext

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