Download Full eBooks in PDF
Qα Analysis On Euclidean Spaces Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Qα Analysis On Euclidean Spaces book. This book definitely worth reading, it is an incredibly well-written.
Author : Jie Xiao
Publisher : ISSN
Page : 0 pages
File Size : 55,7 Mb
Release : 2019
Category : Mathematics
ISBN : 3110601125
Starting with the fundamentals of Qα spaces and their relationships to Besov spaces, this book presents all major results around Qα spaces obtained in the past 16 years. The applications of Qα spaces in the study of the incompressible Navier-Stok
Author : Jie Xiao
Publisher : Walter de Gruyter GmbH & Co KG
Page : 230 pages
File Size : 40,5 Mb
Release : 2019-03-18
Category : Mathematics
ISBN : 9783110600285
Starting with the fundamentals of Qα spaces and their relationships to Besov spaces, this book presents all major results around Qα spaces obtained in the past 16 years. The applications of Qα spaces in the study of the incompressible Navier-Stokes system and its stationary form are also discussed. This self-contained book can be used as an essential reference for researchers and graduates in analysis and partial differential equations.
Author : American Mathematical Society
Publisher : American Mathematical Soc.
Page : 438 pages
File Size : 44,7 Mb
Release : 1979
Category : Generalized spaces
ISBN : 9780821814383
Contains sections on Several complex variables, Pseudo differential operators and partial differential equations, Harmonic analysis in other settings: probability, martingales, local fields, Lie groups and functional analysis
Author : Audrey Terras
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 41,8 Mb
Release : 2013-09-12
Category : Mathematics
ISBN : 9781461479727
This unique text is an introduction to harmonic analysis on the simplest symmetric spaces, namely Euclidean space, the sphere, and the Poincaré upper half plane. This book is intended for beginning graduate students in mathematics or researchers in physics or engineering. Written with an informal style, the book places an emphasis on motivation, concrete examples, history, and, above all, applications in mathematics, statistics, physics, and engineering. Many corrections and updates have been incorporated in this new edition. Updates include discussions of P. Sarnak and others' work on quantum chaos, the work of T. Sunada, Marie-France Vignéras, Carolyn Gordon, and others on Mark Kac's question "Can you hear the shape of a drum?", A. Lubotzky, R. Phillips and P. Sarnak's examples of Ramanujan graphs, and, finally, the author's comparisons of continuous theory with the finite analogues. Topics featured throughout the text include inversion formulas for Fourier transforms, central limit theorems, Poisson's summation formula and applications in crystallography and number theory, applications of spherical harmonic analysis to the hydrogen atom, the Radon transform, non-Euclidean geometry on the Poincaré upper half plane H or unit disc and applications to microwave engineering, fundamental domains in H for discrete groups Γ, tessellations of H from such discrete group actions, automorphic forms, and the Selberg trace formula and its applications in spectral theory as well as number theory.
Author : Mario Milman,Jie Xiao,Boguslaw Zegarlinski
Publisher : Walter de Gruyter GmbH & Co KG
Page : 370 pages
File Size : 44,9 Mb
Release : 2022-06-21
Category : Science
ISBN : 9783110741711
This monograph contains papers that were delivered at the special session on Geometric Potential Analysis, that was part of the Mathematical Congress of the Americas 2021, virtually held in Buenos Aires. The papers, that were contributed by renowned specialists worldwide, cover important aspects of current research in geometrical potential analysis and its applications to partial differential equations and mathematical physics.
Author : Jürgen Berndt,Young Jin Suh
Publisher : Walter de Gruyter GmbH & Co KG
Page : 388 pages
File Size : 54,7 Mb
Release : 2022-04-04
Category : Mathematics
ISBN : 9783110689839
Hermitian symmetric spaces are an important class of manifolds that can be studied with methods from Kähler geometry and Lie theory. This work gives an introduction to Hermitian symmetric spaces and their submanifolds, and presents classification results for real hypersurfaces in these spaces, focusing on results obtained by Jürgen Berndt and Young Jin Suh in the last 20 years.
Author : Guido L. Weiss,Stephen Wainger,American Mathematical Society
Publisher : American Mathematical Soc.
Page : 492 pages
File Size : 55,9 Mb
Release : 1979-12-31
Category : Mathematics
ISBN : 0821867946
Contains sections on Real harmonic analysis, Hardy spaces and BMO,Harmonic functions, potential theory and theory of functions of one complex variable
Author : Der-Chen Chang,Jingzhi Tie
Publisher : Walter de Gruyter GmbH & Co KG
Page : 266 pages
File Size : 45,8 Mb
Release : 2022-08-01
Category : Mathematics
ISBN : 9783110642995
The book studies sub-Laplacian operators on a family of model domains in C^{n+1}, which is a good point-wise model for a $CR$ manifold with non-degenerate Levi form. A considerable amount of study has been devoted to partial differential operators constructed from non-commuting vector fields, in which the non-commutativity plays an essential role in determining the regularity properties of the operators.
Author : Kenneth Hoffman
Publisher : Unknown
Page : 128 pages
File Size : 52,9 Mb
Release : 1967
Category : Mathematical algebra
ISBN : OCLC:16398012
Author : Elías M. Stein,Guido L. Weiss
Publisher : Unknown
Page : 297 pages
File Size : 41,8 Mb
Release : 1975
Category : Electronic
ISBN : OCLC:1025229225
Author : Michael Cwikel,Mario Milman
Publisher : American Mathematical Soc.
Page : 411 pages
File Size : 49,5 Mb
Release : 2017-07-26
Category : Fourier analysis
ISBN : 9781470428365
This volume is dedicated to the memory of Björn Jawerth. It contains original research contributions and surveys in several of the areas of mathematics to which Björn made important contributions. Those areas include harmonic analysis, image processing, and functional analysis, which are of course interrelated in many significant and productive ways. Among the contributors are some of the world's leading experts in these areas. With its combination of research papers and surveys, this book may become an important reference and research tool. This book should be of interest to advanced graduate students and professional researchers in the areas of functional analysis, harmonic analysis, image processing, and approximation theory. It combines articles presenting new research with insightful surveys written by foremost experts.
Author : Guido Weiss,Stephen Waiger
Publisher : Unknown
Page : 438 pages
File Size : 47,9 Mb
Release : 1983
Category : Electronic
ISBN : OCLC:859813330
Author : Audrey Terras
Publisher : Unknown
Page : 432 pages
File Size : 53,8 Mb
Release : 2013-09-30
Category : Electronic
ISBN : 1461479738
Author : Jie Xiao
Publisher : Walter de Gruyter GmbH & Co KG
Page : 417 pages
File Size : 52,8 Mb
Release : 2019-03-18
Category : Mathematics
ISBN : 9783110600100
The series is devoted to the publication of high-level monographs and specialized graduate texts which cover classical and modern analysis, partial differential equations with natural connections to geometry and the interplays between these fields and their applications to mathematical physics. Editor-in-Chief Jie Xiao, Memorial University, Canada Editorial Board Der-Chen Chang, Georgetown University, USA Goong Chen, Texas A&M University, USA Andrea Colesanti, University of Florence, Italy Robert McCann, University of Toronto, Canada De-Qi Zhang, National University of Singapore, Singapore Kehe Zhu, University at Albany, USA Please send any book proposals to Jie Xiao.
Author : Xavier Pennec,Stefan Sommer,Tom Fletcher
Publisher : Academic Press
Page : 636 pages
File Size : 46,6 Mb
Release : 2019-09-02
Category : Computers
ISBN : 9780128147269
Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology Content includes: The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs Applications of statistics on manifolds and shape spaces in medical image computing Diffeomorphic deformations and their applications As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science. A complete reference covering both the foundations and state-of-the-art methods Edited and authored by leading researchers in the field Contains theory, examples, applications, and algorithms Gives an overview of current research challenges and future applications