Roles of Log-concavity, log-convexity, and growth order in white noise analysis

dc.creatorAsai, Nobuhiro
dc.creatorKubo, Izumi
dc.creatorKuo, Hui-Hsiung
dc.date2001-04-12
dc.date.accessioned2026-07-07T04:41:16Z
dc.date.available2026-07-07T04:41:16Z
dc.descriptionIn this paper we will develop a systematic method to answer the questions $(Q1)(Q2)(Q3)(Q4)$ (stated in Section 1) with complete generality. As a result, we can solve the difficulties $(D1)(D2)$ (discussed in Section 1) without uncertainty. For these purposes we will introduce certain classes of growth functions $u$ and apply the Legendre transform to obtain a sequence which leads to the weight sequence $\{\a(n)\}$ first studied by Cochran et al. \cite{cks}. The notion of (nearly) equivalent functions, (nearly) equivalent sequences and dual Legendre functions will be defined in a very natural way. An application to the growth order of holomorphic functions on $\ce_c$ will also be discussed.
dc.descriptionTo appear in Infinite Dimensional Analysis, Quantum Probability and Related Topics 4 (2001). Universidade da Madeira CCM preprint 37 (1999)
dc.identifierhttps://arxiv.org/abs/math/0104132
dc.identifierhttp://arxiv.org/abs/math/0104132
dc.identifierInfinite Dimensional Analysis, Quantum Probability and Related Topics, Vol. 4, No. 1 (2001) 59-84
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/61290
dc.subjectFunctional Analysis
dc.subjectProbability
dc.subject60H40
dc.titleRoles of Log-concavity, log-convexity, and growth order in white noise analysis
dc.typetext

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