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Independent Random Variables and Rearrangement Invariant Spaces / Michael Sh. Braverman.

By: Material type: TextTextSeries: London Mathematical Society Lecture Note Series ; no. 194 | London Mathematical Society Lecture Note Series ; no. 194.Publisher: Cambridge : Cambridge University Press, 1994Description: 1 online resource (128 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511662348 (ebook)
Other title:
  • Independent Random Variables & Rearrangement Invariant Spaces
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 519.2 20
LOC classification:
  • QA273  .B863 1994
Online resources: Summary: The subject of this book lies on the boundary between probability theory and the theory of function spaces. Here Professor Braverman investigates independent random variables in rearrangement invariant (r.i.) spaces. The significant feature of r.i. spaces is that the norm of an element depends on its distribution only, and this property allows the results and methods associated with r.i. spaces to be applied to problems in probability theory. On the other hand, probabilistic methods can also prove useful in the study of r.i. spaces. In this book new techniques are used and a number of interesting results are given. Most of the results are due to the author but have never before been available in English. Here they are all presented together in a volume that will be essential reading for all serious researchers in this area.
Item type: E-BOOKS
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Title from publisher's bibliographic system (viewed on 16 Oct 2015).

The subject of this book lies on the boundary between probability theory and the theory of function spaces. Here Professor Braverman investigates independent random variables in rearrangement invariant (r.i.) spaces. The significant feature of r.i. spaces is that the norm of an element depends on its distribution only, and this property allows the results and methods associated with r.i. spaces to be applied to problems in probability theory. On the other hand, probabilistic methods can also prove useful in the study of r.i. spaces. In this book new techniques are used and a number of interesting results are given. Most of the results are due to the author but have never before been available in English. Here they are all presented together in a volume that will be essential reading for all serious researchers in this area.

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