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Weak norms of random sums
Author(s):
Paul
Alton
Hagelstein
Journal:
Proc. Amer. Math. Soc.
133
(2005),
2327-2334.
MSC (2000):
Primary 42B35
Posted:
March 4, 2005
MathSciNet review:
2138875
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Abstract:
Let denote a sequence of measurable functions on , and let denote the weak norm. It is shown that
where is a sequence of independent random variables taking on values and with equal probability. Moreover, it is shown that The paper concludes by providing an example indicating that, if , then the estimate is the best possible.
References:
-
- 1.
- E. M. Stein and N. J. Weiss, On the convergence of Poisson integrals, Trans. Amer. Math. Soc. 140 (1969), 35-54. MR 0241685 (39:3024)
- 2.
- A. Zygmund, Trigonometric Series, Cambridge University Press, 1959.MR 0107776 (21:6498)
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Additional Information:
Paul
Alton
Hagelstein
Affiliation:
Department of Mathematics, Baylor University, Waco, Texas 76798
Email:
paul_hagelstein@baylor.edu
DOI:
10.1090/S0002-9939-05-07966-9
PII:
S 0002-9939(05)07966-9
Received by editor(s):
November 21, 2003
Posted:
March 4, 2005
Additional Notes:
The author's research was partially supported by the Baylor University Summer Sabbatical Program.
Communicated by:
Andreas Seeger
Copyright of article:
Copyright
2005,
American Mathematical Society
The copyright for this article reverts to public domain after 28 years from publication.
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