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A Solution to a Problem of A. Bellow
M.A. Akcoglu, A. del Junco and W.M.F. Lee
Pages 1-7 - Book chapterAbstract only
Universal Weights from Dynamical Systems To Mean-Bounded Positive Operators on Lp
Idris Assani
Pages 9-16 - Book chapterAbstract only
SOME CONNECTIONS BETWEEN ERGODIC THEORY AND HARMONIC ANALYSIS
Idris Assani, Karl Petersen and Homer White
Pages 17-40 - Book chapterAbstract only
On Hopf's Ergodic Theorem for Particles with Different Velocities
Alexandra Bellow and Ulrich Krengel
Pages 41-47 - Book chapterAbstract only
A Note on the Strong Law of Large Numbers for Partial Sums of Independent Random Vectors
Erich Berger
Pages 49-68 - Book chapterAbstract only
SUMMABILITY METHODS AND ALMOST-SURE CONVERGENCE
N.H. Bingham and L.C.G. Rogers
Pages 69-83 - Book chapterAbstract only
Concerning Induced Operators and Alternating Sequences
R.E. Bradley
Pages 85-92 - Book chapterAbstract only
Maximal inequalities and ergodic theorems for Cesàro-α or weighted averages
M. Broise, Y. Déniel and Y. Derriennic
Pages 93-107 - Book chapterAbstract only
THE HILBERT TRANSFORM OF THE GAUSSIAN
A.P. Calderón and Y. Sagher
Pages 109-112 - Book chapterAbstract only
Mean Ergodicity of L1 Contractions and Pointwise Ergodic Theorems
Doan Çömez and Michael Lin
Pages 113-126 - Book chapterAbstract only
Multi–Parameter Moving Averages
Roger L. Jones and James Olsen
Pages 127-149 - Book chapterAbstract only
An Almost Sure Convergence Theorem For Sequences of Random Variables Selected From Log-Convex Sets
John C. Kieffer
Pages 151-166 - Book chapterAbstract only
DIVERGENCE OF ERGODIC AVERAGES AND ORBITAL CLASSIFICATION OF NON-SINGULAR TRANSFORMATIONS
I. Kornfeld
Pages 167-178 - Book chapterAbstract only
SOME ALMOST SURE CONVERGENCE PROPERTIES OF WEIGHTED SUMS OF MARTINGALE DIFFERENCE SEQUENCES
Tze Leung Lai
Pages 179-190 - Book chapterAbstract only
Pointwise ergodic theorems for certain order preserving mappings in L1
MICHAEL LIN and RAINER WITTMANN
Pages 191-207 - Book chapterAbstract only
On the almost sure central limit theorem
M. Peligrad and P. Révész
Pages 209-225 - Book chapterAbstract only
UNIVERSALLY BAD SEQUENCES IN ERGODIC THEORY
Joseph Rosenblatt
Pages 227-245 - Book chapterAbstract only
On an Inequality of Kahane
Yoram Sagher and Kecheng Zhou
Pages 247-251 - Book chapterAbstract only
A PRINCIPLE FOR ALMOST EVERYWHERE CONVERGENCE OF MULTIPARAMETER PROCESSES
Louis Sucheston and László I. Szabó
Pages 253-273
About the book
Description
Almost Everywhere Convergence II presents the proceedings of the Second International Conference on Almost Everywhere Convergence in Probability and Ergodotic Theory, held in Evanston, Illinois on October 16–20, 1989. This book discusses the many remarkable developments in almost everywhere convergence. Organized into 19 chapters, this compilation of papers begins with an overview of a generalization of the almost sure central limit theorem as it relates to logarithmic density. This text then discusses Hopf's ergodic theorem for particles with different velocities. Other chapters consider the notion of a log–convex set of random variables, and proved a general almost sure convergence theorem for sequences of log–convex sets. This book discusses as well the maximal inequalities and rearrangements, showing the connections between harmonic analysis and ergodic theory. The final chapter deals with the similarities of the proofs of ergodic and martingale theorems. This book is a valuable resource for mathematicians.
Almost Everywhere Convergence II presents the proceedings of the Second International Conference on Almost Everywhere Convergence in Probability and Ergodotic Theory, held in Evanston, Illinois on October 16–20, 1989. This book discusses the many remarkable developments in almost everywhere convergence. Organized into 19 chapters, this compilation of papers begins with an overview of a generalization of the almost sure central limit theorem as it relates to logarithmic density. This text then discusses Hopf's ergodic theorem for particles with different velocities. Other chapters consider the notion of a log–convex set of random variables, and proved a general almost sure convergence theorem for sequences of log–convex sets. This book discusses as well the maximal inequalities and rearrangements, showing the connections between harmonic analysis and ergodic theory. The final chapter deals with the similarities of the proofs of ergodic and martingale theorems. This book is a valuable resource for mathematicians.
Details
ISBN
978-0-12-085520-9
Language
English
Published
1991
Copyright
Copyright © 1991 Elsevier Inc. All rights reserved.
Imprint
Academic Press