Gaussian Harmonic Analysis

Authored by a ranking authority in Gaussian harmonic analysis, this book embodies a state-of-the-art entrée at the intersection of two important fields of research: harmonic analysis and probability. The book is intended for a very diverse audience, from graduate students all the way to researchers working in a broad spectrum of areas in analysis. Written with the graduate student in mind, it is assumed that the reader has familiarity with the basics of real analysis as well as with classical harmonic analysis, including Calderón-Zygmund theory; also some knowledge of basic orthogonal polynomials theory would be convenient. The monograph develops the main topics of classical harmonic analysis (semigroups, covering lemmas, maximal functions, Littlewood-Paley functions, spectral multipliers, fractional integrals and fractional derivatives, singular integrals) with respect to the Gaussian measure. The text provide an updated exposition, as self-contained as possible, of all the topics in Gaussian harmonic analysis that up to now are mostly scattered in research papers and sections of books; also an exhaustive bibliography for further reading. Each chapter ends with a section of notes and further results where connections between Gaussian harmonic analysis and other connected fields, points of view and alternative techniques are given. Mathematicians and researchers in several areas will find the breadth and depth of the treatment of the subject highly useful.

Updated and self-contained exposition of all topics of Gaussian harmonic analysis that up to now are mostly scattered in research papers and sections of books Gaussian harmonic analysis may serve as a good introduction to other possible harmonic analysis done for orthogonal expansion A deep understanding of Gaussian harmonic analysis may help one gain insights into related problems in other non-euclidean settings

Autorentext

Ricardo Rios is an Associate Professor at the Facultad de Ciencias, Universidad Central de Venezuela. He holds a Ph.D. in Mathematics from the University of Paris-Saclay (Paris XI) and an M.Sc. and B.Sc. in Mathematics from Universidad Central de Venezuela. His research focuses on nonparametric functional estimation with dependent data, probability theory, statistics, and stochastic processes, with applications in martingale theory and machine learning. Wilfredo Urbina-Romero is an Associate Professor at Roosevelt University. He earned his Ph.D. in Mathematics from the University of Minnesota and his M.Sc. and B.Sc. in Mathematics from Universidad Central de Venezuela. His research interests include harmonic analysis, orthogonal polynomial theory, and martingale theory.

Inhalt

Chapter 1- Preliminary Results.- Chapter 2- The Ornstein-Uhlenbeck Operator and the Ornstein-Uhlenbeck Semigroup.- Chapter 3- The Poisson-Hermite Semigroup.- Chapter 4- Covering Lemmas, Gaussian Maximal Functions, and Calderón-Zygmund Operators.- Chapter 5- Littlewood-Paley-Stein Theory with respect to d .- Chapter 6- Spectral Multiplier Operators with respect to d.- Chapter 7- Function Spaces with respect to d.- Chapter 8- Gaussian Fractional Integrals and Fractional Derivatives.- Chapter 9- Singular Integrals with respect to d.- Appendix.- References.- Index.