Roles of log-concavity, log-convexity, and growth order in white noise analysis
Document Type
Article
Publication Date
1-1-2001
Abstract
In this paper we will develop a systematic method to answer the questions (Q1) (Q2) (Q3) (Q4) (stated in Sec. 1) with complete generality. As a result, we can solve the difficulties (D1) (D2) (discussed in Sec. 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 {α(n)} first studied by Cochran et al.6 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 ℰc will also be discussed. * Postdoctral Fellowship at International Institute for Advanced Studies.
Publication Source (Journal or Book title)
Infinite Dimensional Analysis, Quantum Probability and Related Topics
First Page
59
Last Page
84
Recommended Citation
Asai, N., Kubo, I., & Kuo, H. (2001). Roles of log-concavity, log-convexity, and growth order in white noise analysis. Infinite Dimensional Analysis, Quantum Probability and Related Topics, 4 (1), 59-84. https://doi.org/10.1142/S0219025701000498