Martingales In Banach Spaces


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Martingales in Banach Spaces


Martingales in Banach Spaces

Author: Gilles Pisier

language: en

Publisher: Cambridge University Press

Release Date: 2016-06-06


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This book focuses on applications of martingales to the geometry of Banach spaces, and is accessible to graduate students.

Geometry and Martingales in Banach Spaces


Geometry and Martingales in Banach Spaces

Author: Wojbor A. Woyczynski

language: en

Publisher: CRC Press

Release Date: 2018-10-12


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Geometry and Martingales in Banach Spaces provides a compact exposition of the results explaining the interrelations existing between the metric geometry of Banach spaces and the theory of martingales, and general random vectors with values in those Banach spaces. Geometric concepts such as dentability, uniform smoothness, uniform convexity, Beck convexity, etc. turn out to characterize asymptotic behavior of martingales with values in Banach spaces.

Analysis in Banach Spaces


Analysis in Banach Spaces

Author: Tuomas Hytönen

language: en

Publisher: Springer

Release Date: 2016-11-26


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The present volume develops the theory of integration in Banach spaces, martingales and UMD spaces, and culminates in a treatment of the Hilbert transform, Littlewood-Paley theory and the vector-valued Mihlin multiplier theorem. Over the past fifteen years, motivated by regularity problems in evolution equations, there has been tremendous progress in the analysis of Banach space-valued functions and processes. The contents of this extensive and powerful toolbox have been mostly scattered around in research papers and lecture notes. Collecting this diverse body of material into a unified and accessible presentation fills a gap in the existing literature. The principal audience that we have in mind consists of researchers who need and use Analysis in Banach Spaces as a tool for studying problems in partial differential equations, harmonic analysis, and stochastic analysis. Self-contained and offering complete proofs, this work is accessible to graduate students and researchers with a background in functional analysis or related areas.