Update cookies preferences

E-book: Einstein Constraints and Ricci Flow: A Geometrical Averaging of Initial Data Sets

  • Format: PDF+DRM
  • Series: Mathematical Physics Studies
  • Pub. Date: 10-Jan-2023
  • Publisher: Springer Verlag, Singapore
  • Language: eng
  • ISBN-13: 9789811985409
  • Format - PDF+DRM
  • Price: 135,23 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.
  • Format: PDF+DRM
  • Series: Mathematical Physics Studies
  • Pub. Date: 10-Jan-2023
  • Publisher: Springer Verlag, Singapore
  • Language: eng
  • ISBN-13: 9789811985409

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

This book contains a self-consistent treatment of a geometric averaging technique, induced by the Ricci flow, that allows comparing a given (generalized) Einstein initial data set with another distinct Einstein initial data set, both supported on a given closed n-dimensional manifold. 

This is a case study where two vibrant areas of research in geometric analysis, Ricci flow and Einstein constraints theory, interact in a quite remarkable way. The interaction is of great relevance for applications in relativistic cosmology, allowing a mathematically rigorous approach to the initial data set averaging problem, at least when data sets are given on a closed space-like hypersurface. 

The book does not assume an a priori knowledge of Ricci flow theory, and considerable space is left for introducing the necessary techniques. These introductory parts gently evolve to a detailed discussion of the more advanced results concerning a Fourier-mode expansion and a sophisticated heat kernel representation of the Ricci flow, both of which are of independent interest in Ricci flow theory. 

This work is intended for advanced students in mathematical physics and researchers alike. 

Reviews

The book is well written and well motivated, hence warmly recommended to post-graduate and PhD students as well as researchers (both mathematicians and physicists) interested in modern global analysis and/or mathematical cosmology. (Gábor Etesi, zbMATH 1536.53002, 2024)

Introduction.- Geometric preliminaries.- Ricci ow background.- Ricci
ow conjugation of initial data sets.- Concluding remarks.
Mauro Carfora is Professor of Mathematical Physics at the University of Pavia, Italy. He is co-author with Annalisa Marzuoli of the Springer Lecture Notes in Physics Quantum Triangulations (LNP 845 and LNP 942), and illustrator of the popular relativity book Flat and Curved Spacetimes by George. F. R. Ellis and Ruth Williams. Annalisa Marzuoli is Associate Professor of Mathematical Physics at the University of Pavia, Italy. She is co-author with Jan Ambjørn and Mauro Carfora of the Springer Lecture Notes in Physics The Geometry of Dynamical Triangulations (Springer LNP m50).